Publications Repository - Helmholtz-Zentrum Dresden-Rossendorf

Image features need to be robust against differences in positioning, acquisition and segmentation to ensure reproducibility. Radiomic models that only include robust features can be used to analyse new images, whereas models with non-robust features may fail to predict the outcome of interest accurately. Test-retest imaging is recommended to assess robustness, but may not be available for the phenotype of interest. We therefore investigated 18 combinations of image perturbations to determine feature robustness, based on noise addition (N), translation (T), rotation (R), volume growth/shrinkage (V) and supervoxel-based contour randomisation (C). Test-retest and perturbation robustness were compared for combined total of 4032 morphological, statistical and texture features that were computed from the gross tumour volume in two cohorts with computed tomography imaging: I) 31 non-small-cell lung cancer (NSCLC) patients; II): 19 head-and-neck squamous cell carcinoma (HNSCC) patients. Robustness was determined using the 95% confidence interval (CI) of the intraclass correlation coefficient (1, 1). Features with CI >= 0:90 were considered robust. The NTCV, TCV, RNCV and RCV perturbation chain produced similar results and identified the fewest false positive robust features (NSCLC: 0.2-0.9%; HNSCC: 1.7-1.9%). Thus, these perturbation chains may be used as an alternative to test-retest imaging to assess feature robustness.

The aim was detect Ectoine using chemical analysis and to calculate the Setchenow (Ks) constant of Ectoine in salt solutions at different concentrations. Solubility of Ectoine is reduced in increasing salt concentration, thus making a suitable Salting-Out procedure viable. Solubility in Methanol indicates potential solvent to carry out the Salting-Out procedure. A suitable TLC solvent mixture identified which could be used for detection of ectoine from solution

To assess the potential of halophilic bacteria metabolites as pyrite biodepressants in flotation using sea water as medium. Halomonas boliviensis, Marinobacter spp, Halobacillus sp, Marinococcus sp and Halomonas eurihalina were tested for their production of metabolites. Biodepression also occurs although in a much lesser extent than when using bacteria as bioreagents. Flotation of pyrite was most reduced under presence of Halomonas boliviensis extract. Yield of hydrophobic metabolites decreases in artificial sea water. Bacterial metabolites contribute to the observed biodepression activity of the bacterial cells although not the mayor contributors.

Halophilic bacteria are adapted to high salinity environments and other extreme conditions. Halophilic bacteria produce Extracellular Polymeric Substances (EPS) that aid them in the formation of biofilms and resist abrupt changes in salinity, pH, temperature and pressure. These EPS could have potential applications in flotation operations performed in sea water, such as the Copper-Molybdenum flotation operations in Chile. To date, there are no reports of halophilic bacteria been used in bio flotation.
Five halophilic bacteria where studied as potential pyrite bio depressants. Micro flotation experiments using Hallimond tubes, as well as hydrophobicity and adhesion experiments were performed in order to assess the potential of these bacteria in the flotation process. In this study we will show the first results of using halophilic bacteria as potential Pyrite bio depressants.

Presentation delivered at the TUD on the 4.2.19 outlining the progress in my Ph.D to Prof. Thorsten Mascher and his group.

Presentation outlining work up to June 2018 in the screening of halophilic bacteria as pyrite biodepressants in Cu-Mo bioflotation processes delivered in the BHT conference in TUBAF, Freiberg.

Purpose/Objective:

Comprehensive assessment of range uncertainties in particle treatment planning for a dual-energy CT (DECT) based direct stopping-power prediction (DirectSPR) suitable for clinical implementation.

Material/methods:

The DirectSPR approach, thoroughly validated in prior work and jointly implemented with Siemens Healthineers in a prototype, is characterised by a patient-size dependent model calibration and patient-individual consideration of tissue variability. Uncertainties of this DECT-based approach were quantified regarding image acquisition, modelling and miscellaneous sources (Fig.1) and propagated to the overall range uncertainty via the GUM guideline (Guide to the expression of uncertainty in measurement). Model calibration and validation was based on a multitude of CT scans for phantoms with varying geometries. The resulting overall uncertainty was determined for different clinically relevant tumour entities, separated into an absolute term (for five treatment sites) and a term relative to the particle range (for head, lung and pelvic region).

Results:

The relative range uncertainty (1.5𝜎) was 1.7%, 2.0% and 2.0% for the head, lung and pelvic region, respectively. The absolute term was between 2.5mm (brain) and 3.5mm (head&neck, pancreas). In comparison to the safety margin currently applied in treatment planning based on single-energy CT (3.5%+2mm), the overall range accuracy is increased for beam paths with a water-equivalent thickness above 30mm (70mm) in the head (body) region (Fig.2).

Conclusion:

The uncertainty in particle range calculation is reduced by patient-individual DECT-based stopping-power prediction. The obtained range uncertainties are directly applicable to the currently ongoing clinical implementation of DirectSPR for routine treatment planning at our institution and will result in a dose reduction in normal tissue.

Purpose/Objective:

Experimental evaluation of inter-centre variation and absolute accuracy in stopping-power-ratio (SPR) prediction within the European Particle Therapy Network.

Material/methods:

A head&body phantom with 17 tissue surrogate inserts were scanned consecutively at the participating centres using their individual clinical scan protocol. The SPR calculation was performed using each centre’s CT scan and HLUT (Fig.1). The inter-centre variation and absolute accuracy in SPR prediction were quantified for lung, soft tissues and bones. To evaluate the integral effect on range prediction for typical clinical beams traversing different tissues, for three simplified beam paths the determined SPR deviations were accumulated according to their respective tissue distribution. So far, data from 12 out of 17 participating centres was analysed.

Results:

A 2σ inter-centre variation in SPR prediction of 7.4% and 6.1% relative to water was determined for the bone inserts in the head and body setup, respectively. Comparable results were observed for the lung tissue surrogates (5.8% and 2.8%). In the soft tissues, smaller variations were achieved (1.4% and 1.2%). For the three exemplary beam paths, inter-centre variations in relative range were 2.1% on average. Moreover, absolute range deviations from reference exceeded 2% in specific centres (Fig 2B).

Conclusion:

Large inter-centre variations in SPR prediction were observed in low- and high density tissue surrogates. The differences in deviation for bone between the two setups indicate a strong influence of scanning parameters such as the level of beam hardening correction, potentially resulting in range shifts of clinical relevance. Hence, inter-centre standardisation is highly desirable.

The HADES collaboration uses the e+e− production as a probe of the resonance matter produced in collisions at incident energies of 1-3.5 GeV/nucleon at GSI. Elementary reactions provide useful references for these studies and give information on resonance Dalitz decays (R→Ne+e−). Such processes are sensitive to the structure of time-like electromagnetic baryon transitions in a kinematic range where (off-shell) vector mesons play a crucial role. Results obtained in proton-proton reactions and in a commissioning pion-beam experiment are reported and prospects for future pion beam experiments and for first hyperon Dalitz decay measurements are described. The connection with the investigations of medium effects to be continued with HADES in the next years at SIS18 and SIS100 is also discussed.

To investigate the potential influence of natural occuring microorganisms within the bentonite on its minaralogical properties, we prepared anaerobic microcosm-experiments containing bentonite and a synthetic Opalinus Clay pore-water solution. Two different Bavarian bentonites (a natural and an industrial one) were incubated for one year at 30 °C and 60 °C and analyzed for bio-geochemical parameters and microbial diversity. For stimulation of microbial activity, some set ups were supplied with organics (acetate or lactate) or H2.
Only microcosms containing the industrial bentonite show striking effects. The presence of supplemented lactate or H2 led to the dominance (up to 81 %) of spore-forming Desulfosporosinus spp. – strictly anaerobic, sulfate-redung microorganisms. The respective microcosms show an increase of ferrous iron and a simoultaneous decrease of ferric iron as well as a decrease in sulfate-concentration. Concomitantly, the redoxpotential dropped and hydrogen-sulfide was fomed – leading very likely to the formation of the observed fractures and iron-sulfur precipitations. Furthermore, lactate-containing microcosms show the formation of acetate in the same amount as lactate was consumed. The here mentioned, microbial formed metabolites could affect the dissolution bahavior of minerals and ions within the bentonite and, thus, potentially change the sealant and adsorbent properties of the bentonite barrier.

Spin caloritronics investigates static and dynamic effects on magnetic structures due to spin-currents generated by thermalgradients. Here, we present COMSOL simulation results using a 2-D heat transfer module applied to Co2FeAl/MgO/CoFeB magnetictunnel junctions (MTJs) integrated into microcavity resonators. Microresonators are used in order to study the effects of temperaturegradients on single micro-/nano-objects. We find that the thermal conductivity of the insulating barrier (MgO) plays a crucialrole, influencing the overall temperature, as well as the thermal gradient over the barrier. Taking into account the microresonatorstructure around the MTJ, which is mainly made from copper, strongly affects the uniform heating of the overall stack. Nevertheless,the gradient over the barrier is relatively unaffected by the surrounding conditions. The simulation results provide insight intothe temperature profile of the whole structure and show how modifying the structure of the surrounding materials may tune andoptimize the thermal gradient magnitude and ultimately provide a path for quantifying spin-transfer torques induced by thermalgradients.

The fast-neutron-induced fission cross section of ²⁴²Pu was measured at the neutron time-of-flight facility nELBE. A parallel-plate fission ionization chamber with novel, homogeneous, large-area ²⁴²Pu deposits on Si-wafer backings was used to determine this quantity relative to the IAEA neutron cross-section standard ²³²U(n, f ) in the energy range of 0.5 to 10 MeV. The number of target nuclei was determined from the measured spontaneous fission rate of ²⁴²Pu. This helps to reduce the influence of the fission fragment detection efficiency on the cross section. Neutron transport simulations performed with GEANT 4, MCNP 6, and FLUKA 2011 are used to correct the cross-section data for neutron scattering. In the reported energy range the systematic uncertainty is below 2.7% and on average the statistical uncertainty is 4.9%. The determined results show an agreement within 0.67(16)% to recently published data and a good accordance to current evaluated data sets.

Background
Combining stereotactic radiosurgery (SRS) and active systemic therapies (STs) achieved favourable survival outcomes in patients with melanoma brain metastases (MBMs) in retrospective analyses. However, several aspects of this Treatment strategy remain poorly understood. We Report on the Overall survival (OS) of patients with MBM treated with a combination of radiotherapy (RT) and ST as well as the Impact of the v-Raf murine sarcoma viral oncogene homolog B (BRAF)-V600 Mutation (BRAFmut) status, types of RT and ST and their sequence. Patients and methods Data of 208 patients treated with SRS or whole brain Radiation therapy (WBRT) and either immunotherapy (IT) or targeted therapy (TT) within a 6-week- interval to RT were analysed retrospectively. OS was calculated from RT to death or last follow-up. Univariate- and multivariate Cox proportional hazard analyses were performed to determine prognostic Features associated with OS.
Results
The median follow-up was 7.3 months. 139 patients received IT, 67 received TT and 2 received IT and TT within 6 weeks to RT (WBRT 45%; SRS 55%). One-year Kaplan-Meier OS rates were 69%, 65%, 33% and 18% (P < .001) for SRS with IT, SRS with TT, WBRT with IT and WBRT with TT, respectively. Patients with a BRAF mut receiving IT combined with RT experienced higher OS rates (88%, 65%, 50% and 18%). TT following RT or started before and continued thereafter was associated with improved median OS compared with to TT solely before RT (12.2 [95% confidence interval {CI} 9.3–15.1]; 9.8 [95% CI 6.9–12.6] versus 5.1 [95% CI 2.7–7.5]; P = .03).
Conclusion
SRS and IT achieved the highest OS rates. A BRAFmut appears to be a favourable prognostic factor for OS. For the combination of RT and TT, the sequence appears to be crucial. Combinations of WBRT and ST achieved unprecedentedly high OS rates and Warrant further studies.

Nonsteroidal anti-inflammatory drugs (NSAIDs) are the most common way of treating inflammatory disorders. Their widespread use helped reveal their other modes of action as pharmaceuticals, such as a profound effect on various cancers. Celecoxib has proven to be a very prominent member of this group with cytostatic activities. On the other hand, the highly dynamic field of drug design is constantly searching for new ways of modifying known structures to obtain more powerful and less harmful drugs. A very interesting development is the implementation of carboranes in pharmacologically active structures, mostly as phenyl mimetics. Herein we report the synthesis of three carborane-containing derivatives of the COX-2-selective NSAID celecoxib. The new compounds proved to have promising cytostatic potential against various melanoma and colorectal adenocarcinoma cell lines. Inhibited proliferation accompanied by caspase-independent apoptotic cell death was found to be the main cause of decreased cell viability upon treatment with the most efficient celecoxib analogue, 3 b (4-[5-(1,7-dicarba-closo-dodecaboranyl)-3-trifluoromethyl-1H-pyrazol-1-yl]-1-methylsulfonylbenzene).

Radiation therapy is one of the most used treatment modalities of cancer. While most patients receive photon-therapy, a growing number of patients are treated with particles, mainly protons. Protons offers a more localised dose deposition compared to photon-therapy. This allows to reduce the dose that is applied by the primary beam to the healthy tissue outside the target volume. At the same time, the use of protons leads to a change in the composition of the radiation field, when compared to photons. For example, the out-of-field dose is dominated by secondary neutrons. Additionally, the radiation quality of protons is a function of energy. Therefore, the biological effect depends not only on the physical dose, but also on the linear energy transfer (LET). The neutron field and the LET, like other scientifically interesting quantities, are challenging to measure experimentally. Hence, a simulation that can reproduce the radiation field of a radiation treatment facility is of great value for the study of various aspects of proton therapy.
This work describes the simulation of the University Proton Therapy Dresden (UPTD) beam delivery system and treatment room.

The interaction of S100 proteins (S100s), a multigenic family of Ca2+-binding and Ca2+-modulated proteins, with pattern recognition receptors, e.g., Toll-like receptors (TLRs), the receptor for advanced glycation end products (RAGE), or scavenger receptors (SR), is hypothesized to be of high relevance in the pathogenesis of various diseases. This includes chronic inflammatory conditions, atherosclerosis, cardiomyopathies, neurodegeneration, and progression of cancers. However, data concerning the role of circulating S100s in these pathologies are scarce. One reason for this is the shortage of suitable radiolabeling methods for direct assessment of the metabolic fate of circulating S100s in vivo. We report a radiotracer approach using radiolabeling of recombinant human S100s with the positron emitter fluorine-18 (18F) by conjugation with N-succinimidyl 4-[18F]fluorobenzoate ([18F]SFB). The methodological radiochemical part focuses on an optimized and automated synthesis of [18F]SFB comprising HPLC purification to achieve higher chemical purity. The respective radioligands, [18F]fluorobenzoylated S100s ([18F]FB-S100s), were obtained with appropriate radiochemical purities, yields, and effective molar activities. Biological applications comprise cell and tissue binding experiments in vitro, biodistribution and metabolite studies in rodents in vivo/ex vivo, and dynamic positron emission tomography studies using dedicated small animal PET systems. Radiolabeling of S100s with 18F and, particularly, the use of small animal PET provide novel probes to delineate both their metabolic fate and the functional expression of their specific receptors under normal and pathophysiological conditions in rodent models of disease.

The electrical potential in a battery jumps at each electrode-electrolyte interface. We present a model for computing three-dimensional current and potential distributions, which accounts for such internal voltage jumps. Within the framework of the finite volume method we discretize the Laplace and gradient operators such that they account for internal jump boundary conditions. After implementing a simple battery model in OpenFOAM we validate it using an analytical test case, and show its capabilities by simulating the current distribution and discharge curve of a Li||Bi liquid metal battery.

Aim of this work was to investigate the inverse trans influence (ITI) in uranium complexes containing soft-donor ligands. Uranium(IV) and (V) complexes were synthesized by using the N-heterocylic carbene ligand iPrIm (L¹ ) and lithium bis(trimethylsilyl)amide (TMSA) as a base. The structural characterization by SC-XRD and geometry optimization of the resulting compounds [U(IV)(L¹ )₂(TMSA)Cl₃] (1) and (HL¹ )₂ [U(V)(TMSI)Cl₅] (2) (TMSI = trimethylsilylimide) confirmed the occurrence of an inverse trans influence (ITI) by means of the silylamido- or silylimido ligand.

The large magnetocaloric effect (MCE) observed in Ni-Mn based shape memory Heusler alloys put them forward to use in magnetic refrigeration technology. It is associated with a first-order magnetostructural (martensitic) phase transition.We conducted a comprehensive study of the MCE for the off-stoichiometric Heusler alloy N_i2.2Mn_0.8Ga in the vicinity of its first-order magnetostructural phase transition. We found a reversible MCE under repeated magnetic field cycles. The reversible behavior can be attributed to the small thermal hysteresis of the martensitic phase transition. Based on the analysis of our detailed temperature dependent x-ray diffraction data, we demonstrate the geometric compatibility of the cubic austenite and tetragonal martensite phases. This finding directly relates the reversible MCE behavior to an improved geometric compatibility condition between cubic austenite and tetragonal martensite phases. The approach will help to design shape memory Heusler alloys with a large reversible MCE taking advantage of the first-order martensitic phase transition.

Reliable long-term predictions regarding the safety of a nuclear waste disposal facility must be based on a sound understanding of the fundamental processes controlling radionuclide mobility in a subsurface environment. In particular, reactions at the water/mineral interface must be characterized on the molecular level.[1] Several actinides (An) show a tendency to form An-oxo-nanoparticles[2], which may be enhanced in the presence of mineral surfaces and even drive redox reactions.[3-6] As these reaction may, both, enhance and reduce the mobility of the actinides, it is of utmost importance to understand their mechanism and which parameters control the nanoparticle formation in environmental systems.
Recently, we have reported an unusual variability in the reactivity of ThIV on the basal plane of muscovite mica dependent on the composition of the background electrolyte.[7] In this study, based on surface X-ray diffraction [SXD; crystal truncation rod diffraction (CTR) and resonant anomalous X-ray reflectivity (RAXR)] and alpha spectrometry, it was observed that ThIV sorption from NaClO4 solution was significantly lower [< d.l. (~0.04 ThIV per area of the muscovite unit cell AUC)] than from NaCl solution (θNaCl = 0.4 Th/AUC) under otherwise identical conditions.[8] The study also revealed that the adsorbed quantity of ThIV was significantly higher in LiClO4 medium (θLiClO4 = 4.9 Th/AUC), than in NaClO4 with KClO4 intermediate between Li and Na (θKClO4 ~ 0.1 Th/AUC). In the case of LiClO4 it could be shown by RAXR, that sorption occurs in the form of small particles a few nm in size.
Here, we present a study using SXD in combination with alpha spectrometry and atomic force microscopy (AFM) aiming to identify the basis of the previously observed, unexpected effects. To probe whether anion and cation effect occur independently, ThIV sorption was studied in the presence of LiCl and KCl ([Th] = 0.1 mM, pH = 3.3, I = 0.1 M). ThIV uptake is strongest in the presence of LiCl (θLiCl = 8.8 Th/AUC), while sorption in the presence of KCl is weaker (θKCl = 3.6 Th/AUC) but still exceeds the surface occupancy previously found in NaCl media.[8] For all cations ThIV sorption is stronger when Cl- is the counterion compared to ClO4-, confirming that the cation effect is indeed independent of the background electrolyte’s anion. The influence of aqueous speciation on the sorption processes was determined using electro-spray-ionization time-of-flight mass spectrometry (ESI-TOF-MS), which finds a speciation dominated by the ThIV aquo ion in all media, indicating that any electrolyte effects must occur at the water/mineral interface. We investigated the influence of the presence of oligomers on the sorption process, by repeating experiments at higher initial [Th] = 3.0 mM. As expected ThIV sorption is significantly increased. ThIV adsorbs at a preferential height of ~6.5 Å, which can be identified as the preferred size of Th-nanochains on the mica basal plane by AFM (Fig. 1). Uptake from LiCl media is still larger than from NaCl, but only by ~32% compared to 2100% at the lower ThIV concentration. This suggests that the electrolyte cation influences the formation or aggregation of ThIV oligomers at the interface, and its influence is diminished when these are initially present.

Fig. 1. Total electron density and ThIV electron density as a function of distance from the mineral surface determined by SXD upon sorption from NaCl, KCl, and LiCl, respectively. Upper curves (grey, light blue, dark red) are total electron densities determined by CTR, lower curves (black, dark blue, light red) are ThIV electron density distributions from RAXR.

References
[1] H. Geckeis, et al., Chem. Rev., 113, 1016 (2013).
[2] K. E. Knope, et al., Chem. Rev., 113, 944 (2012).
[3] S. Hellebrandt, et al., Langmuir, 32, 10473 (2016).
[4] A. E. Hixon, et al., Environmental Science: Processes & Impacts, 20, 1306 (2018).
[5] M. Schmidt, et al., Env. Sci. Tech., 47, 14178 (2013).
[6] C. Walther, et al., Chem. Rev., 113, 995 (2013).
[7] M. Schmidt, et al., Geochim. Cosmochim. Acta, 165, 280 (2015).
[8] M. Schmidt, et al., Geochim. Cosmochim. Acta, 88, 66 (2012).

We report on our latest transverse focusing results of subnanosecond proton bunches achieved with a laser-driven multi-MeV ion beamline. In the frame of the LIGHT collaboration, a target normal sheath acceleration (TNSA) source based 6 m long beamline was installed. In the past years, the laser-driven proton beam was transported and shaped by this beamline. The particle beam is collimated with a pulsed high-field solenoid and rotated in longitudinal phase space with a radio-frequency cavity which leads to an energy compression with an energy spread of (2.7 +/- 1.7)% (Delta E/E-0 at FWHM) or a time compression to the subnanosecond regime. Highest peak intensities in the subnanosecond regime open up an interesting field for several applications, e.g., proton imaging, as injectors in conventional accelerators or precise stopping power measurements in a plasma. We report on achieving highest peak intensities using an installed second solenoid as a final focusing system in our beamline to achieve small focal spot sizes. We measured a focal spot size of 1.1 x 1.2 mm leading to 5.8 x 10(19) protons per s cm(2) at a central energy bin of (9.55 +/- 0.25) MeV, which can be combined with a bunch duration below 500 ps at FWHM.

The quantitative evaluation of alpha-particle damage in the mineral zircon, ZrSiO₄, using ⁴He irradiation experiments is difficult because the vast majority of atomic knock-ons in the target are concentrated in a narrow depth range near the ends of the He-ion trajectories. Here we present a new concept to overcome this problem, namely, tailoring the depth profile of damage by means of a micromechanically fabricated “energy filter”. Lamellae of 1.5 μm thickness, prepared from ZrSiO₄ using the focused-ion-beam technique, were subjected to irradiation with 8.8 MeV ⁴He ions. Five irradiations with ion fluences in the range 2.5 × 10¹⁵–1 × 10¹⁷ cm^-2 have resulted in mild to severe damage, as monitored by the broadening and downshift of SiO₄-stretching Raman bands. Our results may provide a means for quantifying the contribution of alpha particles to the total self-irradiation damage in zircon.

The relevance of luminescence dating is re- flected by the steadily growing quantity of published data. At the same time, the amount of data available for analysis has increased due to technological and methodological advances. Routinely, luminescence data are analysed using a mixture of commercially available soft- ware, self-written tools and specific solutions. Based on a luminescence dating literature screening we show how rarely articles report on the software used for the data analysis and we discuss potential problems arising from this. We explore the growing importance of the statistical programming language R in general and especially its reflection in recent software developments in the context of lu- minescence dating. Specifically, for the R package ‘Luminescence’ we show how the transparency, flexibility and reliability of tools used for the data analysis have been improved. We finally advocate for more transparency if unvalidated software solutions are used and we emphasise that more attention should be paid to the tools used for analysing the data.

Optical spectroscopy-based methods provide an immense potential for identifying rock compositions in a non-invasive and highly efficient manner, which is crucial for innovative, sustainable and acceptable technologies in raw material exploration. In principle, we employ two fundamental types from the set of light-material interactions light absorption used for hyperspectral imaging (HSI), and light emission used for laser-induced fluorescence (LiF) spectroscopy. The light spectra measured after illumination may be used as fingerprints of a sample’s composition, as long as the characteristic spectral features are known and distinguishable.
In the inSPECtor project, we develop an integrated sensor system that combines the two types of spectroscopy in order to increase the range of detectable materials and the robustness of results. HSI has already proven successful for the mapping of various minerals and also of some REEs such as Nd. However, the complexity of natural samples leads to mixed spectra with masked or only weak REE-related features complicating or even precluding a robust identification of many other REEs. Here, LiF spectroscopy provides a much more sensitive alternative as REEs show very distinct emission features characteristic transitions in REE3+ ions, as encountered in typical REE-containing minerals.
Here, we present how the inSPECtor project combines the potential of both HSI and LiF, especially for REE identification. We focus on the qualitative aspects of REE characterization in synthetic REE standards, in natural minerals and complex rocks from a range of typical REE-mineral deposits. Based on the characterization and successful identification of Nd3+, Pr3+, Sm3+, Eu3+, Yb3+, Ho3+, Dy3+, Er3+, Tb3+ and Tm3+ , we summarize required sensor specifications and illustrate needed data analyses routines.

Geomorphic concepts and hypotheses are usually formulated based on empiric data from the field or the laboratory (deduction). After translation into models they can be applied to case study scenarios (induction). However, the other way around - expressing hypotheses explicitly by models and test these by empiric data - is a rarely touched trail. There are several models tailored to investigate the boundary conditions and processes that generate, mobilise, route and eventually deposit sediment in a landscape. Thereby, the last part, sediment deposition, is usually omitted. Essentially, there is no model that explicitly focuses on mapping out the characteristics of sedimentary deposits - the material that is used by many disciplines to reconstruct landscape evolution. The R-package sandbox is a model framework that allows creating and analysing virtual sediment sections for exploratory, explanatory, forecasting and inverse research questions. sandbox is a probabilistic and rule-based model framework for a wide range of possible applications. It has been advanced and linked to another model to allow the full work flow of modelling luminescence measurements. This contribution introduces news about recent developments and shows a set of applications.

The raw material sector demands for fast and non-invasive exploration technologies to reduce economic and ecologic costs as well as increasing public acceptance. Within the inSPECtor project, we develop an integrated spectroscopic sensor system that uses the light spectrum measured after illumination of a target as fingerprint of a sample's composition. The idea is to integrate information from two basic types of light-material interactions, light absorption used for hyperspectral imaging (HSI), and light emission used for laser-induced fluorescence (LiF) spectroscopy. HSI has already proven successful for various mineral identification and also allows the mapping of REEs such as Nd, which may be used as pathfinder for other REEs. However, the complexity of natural samples leads to mixed spectra with masked or weak REE-related features complicating or even precluding a robust identification of many other REEs. Here, LiF spectroscopy provides a much more sensitive alternative as REEs show very distinct emission features characteristic of the f-f type electronic transitions in REE3+ ions, as encountered in typical REE-containing minerals. We present the potential of both HSI and LiF, especially for REE identification and for raw material exploration. We focus on the qualitative and quantitative aspects of REE characterization in synthetic REE standards and in natural minerals and complex rocks from a range of typical REE-mineral deposits.

The high demand for raw materials in our post-industrial societies contrasts the increasing difficulties to find new mineral deposits. In Europe, accessible and high-grade deposits are mostly exhausted or currently mined. Hence, future exploration must focus on the remaining, more remote locations or penetrate much deeper into the Earth's crust. Sustaining mining activities in Europe would allow the development of key technologies but also sustainable and ethical production of technological metals. Thus, we suggest to focus research on advances in multi-scale and multi-sensor remote sensing-based Earth integration techniques. The scale should range from satellite to air- and drone-borne systems and include ground validation. Multi-sensor downscaling methods involving SAR and optical data are particularly promising. We demonstrate that the integration with other sensors and/or measures such as geophysical/geochemical data as well as non-conventional remote sensing features such as textures and geometries are of interest. Thus, ultimately, our objective is to boost the competitiveness, growth, sustainability and attractiveness of the raw material sector in Europe. While we focus on the raw material sector as it is currently of strategic importance, the required methods are transferable to most environmental studies.

Heavy metal contaminations in both industrial and environmental waters are widely occurring. However, removal is both challenging and cost-intensive. In this study, we identified metal-binding peptide sequences using phage surface display (PSD). Fusion proteins with PSD-derived sequences were construced for further recombinant production, future scale-up and as alternative to chemical synthesis. The construction of the fusion proteins included usage of inteins and affinity tags for simplified expression and purification. Quartz crystal microbalance with dissipation monitoring (QCM-D) was used for further characterization of the peptide-metal interaction. The system developed in this study provides metal-binding peptides with high specificity and sensitivity. Being biodegradable, the constructed peptides can be used in multiple applications. The identified motifs can furthermore provide a deeper understanding of peptide-metal interaction, leading to the discovery of novel metal-interacting biomolecules and better prediction of involved amino acids.

Suppressing noise is important for the digital pulse processing (DPP) in the nuclear radiation detection, which requires precise knowledge of system noise. This work presents a DPP electrical module based on an FPGA of Lattice and derives a simple system noise distribution by experiment and analysis of acquired digital data using this system. The measured noise distribution of this system shows a multivariate Gaussian mixture model with different means and variances as a simple predict.

This is just a presentation in the COSMO Day. I did not submit an abstract since I was invited speaker

Mining industry is continuously monitoring key performance indicators (KPI), and geo-metallurgical properties such as grade, fragmentation or tonnage and reconciling estimates to online capture production performance parameters. New technology is looking for monitoring also other properties as grain size.
Relevant information is obtained from sensors installed at different mining production process stages, as in a Block Evaluation or Schedule and Blending.
This study aims to develop an efficient updating framework based on Sequential Ensemble Filtering by using compositional data statistics that will be able to cope with the non-linearities of the system.

This research is part of the European Union funded 'Real Time Mining' project, which aims to develop a new framework to reduce uncertainties during the extraction process in highly selective underground mining settings. A continuously self-updating resource/grade control model concept is presented and aims to improve the raw material quality control and process efficiency of any type of mining operation. Applications in underground mines include the improved control of different components of the mineralogy and geochemistry of the extracted ore utilizing available “big data” collected during production. The development of the methodology is based on two full scale case study, the copper-zinc mine Neves-Corvo in Portugal and Reiche-Zeche mine in Germany. These serve for both, for the definition of method requirements and also as a basis for defining a Virtual Asset Model (VAM), which serves for artificial sampling as benchmark for performance analysis. This contribution introduces to the updating concept, provides a brief description of the method, explains details of the test cases and demonstrates the value added by an illustrative case study.

A key requirement for the mining industry is to characterize the spatial distribution of geometallurgical properties of the ore and waste in a mineral deposit. Due to geological uncertainty, resource models are crude representations of reality and of limited value in forecasting. Information collected during the production process is therefore highly valued in the mining production chain. Models for mine planning are usually based on exploration information from an initial phase of the mineral extraction process. The integration of sensor data measured at different support along the production line into the resource or grade control model allows for continuous updating and has the ability to provide estimates that are locally more accurate.

In this paper an updating algorithm is presented that integrates two types of sensor information: sensors characterizing the exposed mine-face and sensors installed in the conveyor belt. The impact of the updating algorithm is analysed for a case study based on information collected from Reiche-Zeche a silver-lead-zinc underground mine in Freiberg, Germany.

The algorithm has been implemented for several scenarios of a grade control models. Each scenario represents a different level of conditioning information prior extraction: no conditioning information, conditioning information at the periphery of the mining panel, and lastly at the periphery and from bore-holes intersecting the mining panel. An analysis compares the improvement obtained by updating for the different scenarios. It become obvious that the level of conditioning information before mining does not influence the updating performance after two or three updating steps. The learning effect of the updating algorithm kicks in very fast and overwrites the conditioning information.

Particle Filtering has been proposed as an alternative as a possible way to reconsiliate observations with nonstandard likelihood profiles. For that a population of simulations - called particles - is updated according to the random dynamic of the system increasing the population and then weighted and resampled according to their likelihood given the observation, resulting in a new population representing the conditional distribution given the observation.
Our idea is to use this for spatial random fields, where we have a spatial rather than a temporal randomness. The particles are conditional geostatististical simulations of a Gaussian Random Field given standard geostatistical data. Instead of a time update we use a random innovation updating each simulation to another simulation of the same random field by updating in directions driven by the current residual variability of the field as represented by the ”particle population”. By reweighting according to the likelihoods of the observations reconsilidated until now and resampling we get a new particle population now honoring the additional observations along with the original data.
We will demonstrate and check the performance and applicability of the method in simulated test cases, for relevant standard problems like interval observations and block observations of fields modeled as compositional, plurigaussian, or with a Gaussian anamorphosis.

Working with different databases in the process of mineral resource estimation is a common challenge to be addressed by the industry. These are produced from different sampling methods, having therefore different quality, being obtained in different times of the run of the mine and even measuring different key variables.
Comparative exploratory data analysis, in a global and local scale, are used to verify if different databases are sampling the same distribution. Frequently, the results show differences in the statistics, for instance: in the distribution and in the experimental variography. This demonstrates that different databases cannot be just merged and used in estimation and simulation processes if these are not previously treated.
One way of integrating the different databases with different qualities into the in-situ resource estimation process is to attribute a variance of measurement error to the inexact dataset (low quality samples) However, the estimation of recoverable resources and risk analyzes remains to be verified. The methodology proposed, enables an estimation and risk analysis of the resources of interest by considering the variance of measurement error calculated in-situ of the estimation process:
1. Transforming raw variables od different databases into their Gaussian equivalent through Gaussian Anamorphosis and the calculation of experimental covariances and cross-covariances on Gaussian transforms;
2. Point-wise co-Kriging from Gaussian exact assay (high quality samples) and inexact assays;
3. Block-wise kriging from the Gaussian exact assay and the Gaussian pseudo exact values at inexact location of the main variables with a variance of the measurement error; and
4. Turning-bands conditional simulations with variance of the measurement error from Gaussian variables kriged (1) and with a local mean (2) are applied.
5. Back transformation of the Gaussian variables into raw variables and re-blocking of these to calculate the grade tonnage variables.
This paper illustrates an innovative methodology with two applications in a polymetallic massive suphide deposit and bauxite deposit.

Working with geometallurgical variables presents different challenges in mathematical geosciences, particularly, scale problems (van den Boogaart and Tolosana-Delgado, 2018). Geometallurgical data with distributional scale requires theoretical and practical developments. Methods for statistical interpolation and simulation of distributional data in space have been recently proposed by (Menafoglio et al., 2014, 2016). However, no method is available to sequentially incorporate new information into spatial models. One of the most promising implementations of such sequential information update in resource modelling estimation industry are data assimilation techniques (Wambeke and Benndorf, 2017; Benndorf, 2015).
These techniques are becoming popular due to the ability of dealing with large amount of data that new sensor-based technologies nowadays provide. Among the measurement modes that these sensors can obtain, there are also distributional scale data such as, grain size or particle size distributions. This information is of crucial importance in order to relate upstream deposit information with downstream processing processes. Data assimilation of distributional variables still presents several challenges. For instance, an adaptation of the classical formulation of Kalman filtering needs to be extended to the general Bayes Hilbert Space.
In this work, we apply the general theory of Bayes Hilbert spaces to develop a Kalman Filter method allowing for sequential data assimilation of distributional variables with infinite support.
Two different sets of information with different variability are tested. These are particle size and grain size distribution. After validation, a sensitivity analysis is performed to investigate the effects of different parameters. Practical implementation aspects are also discussed to allow for an effective application within an operating mine.

A key requirement for a streamlined mine-to-mill process is the characterization of the spatial distribution of geometallurgical properties within the mineral deposit, such as ore grade or proportions of deleterious components or the gangue mineralogy.

Due to the limited amount of information available during exploration and grade-control, underlying spatial models, such as the resource or grade-control model, are associated with uncertainty and do not represent reality and production forecast of ROM ore.

One opportunity to decrease these errors is to assimilate grade-control monitoring data, which are obtained by online sensor technology in many operations, into resource or grade-control models. This concept leads to a closed-loop reconciliation system, that generates updated models on real-time, providing up to date information for decision makers in mine planning and operations control. Recently, univariated approaches of data assimilation have been documented and successfully operationally implemented.

The extension to the multivariate case comes with additional challenges. Certain geometallurgical properties, like chemical or mineral compositions, are measured online based on the ratio between percentages and do not represent absolute values. Classical data assimilation outcomes need to be corrected to account for mass conservation of each component, while keeping their physical relations, such as the stability of mineral assemblages, the total sum constraint or positivity. Therefore, new methods for geostatistical modeling and information reconciliation are needed that can account for such issues in a natural way.

This contribution presents a new compositional based data assimilation approach. This supersedes the problems of positivity preservation and mass conservation by working with log-ratios of components. For optimal performance, a flow anamorphosis transformation is used to introduce normality to observations and model variables. This step is necessary in most data assimilation methods.

The contribution presents the methodology and demonstrates it applied in a 3D case study from a Bauxite deposit.

A key requirement for mining operations is the need to be planned according to the existence knowledge about the geometallurgical features of the mineral resource. Geostatistical models are created out of exploration data to describe such geological features as a resource and grade control model. To collect information during the mining production process about these features is becoming more popular due to sensor technology advances. In order to incorporate this new information during the mining production process to the geostatistical models, new approaches based on data assimilation theory are being developed. These are Ensemble Sequential Updating techniques. They provide a comprehensive solution for these challenges since, that allow to relate the potentially non-linear relation that exists between the resource and grade control model state variables and the observations.

However, there are different challenges to face in order to understand how the information that proceed from sensors informs about the geostatistical models and how to feed updated information back to the resource model. On one hand, the state variables of such models are actually compositions, mineral and/or chemical. Classical data assimilation solutions need thus to be modified to account for mass conservation of each component, while keeping their physical relations, univariate or multi-variable (e.g., stability of mineral assemblages, total sum constraint, positivity). On the other hand, some sensors might deliver information restricted to a subcomposition. A compositional data assimilation approach supersede some of these problems by dealing with the positivity condition and the mass preservation implicitly through assimilating log-ratios instead of the original components, which naturally allow a subcompositionally coherent modification if the sensors used require it.

The univariate and the compositional data assimilation approaches are tested in two different virtual assets models created as a fully controllable environment with different geometallurgical features. After validation, a sensitivity analysis investigates the effects of different parameters and derived practical implementation aspects for an effective application of compositional data assimilation within an operating mine.

Some geometallurgical properties are expressed as distributional variables that are characterized by probability density functions. In order to describe these geometallurgical properties in space considering the whole distribution and not only the a few moments. There are methods for statistical interpolation and simulation of distributional data in space. However, not methods are available to sequential incorporation of information back into the spatial model.

The advantages of data assimilation algorithms for resource model updating in mining industry has been shown before for univariate and multivariate models. Based in the information collected during mining production about different features is becoming more popular due to sensor technology advances. The Ensemble Sequential Updating techniques provide a comprehensive solution for these challenges since, that allows to relate the potentially non-linear relation that exists between the resource and grade control model state variables and the observations. However, sensors might provide information about these observations in a distributional support.

This study aims to develop and implement a data assimilation algorithm for distributional variables in mining settings. There are different challenges to face in order to understand how the information that proceed from sensors informs about the geostatistical models and how to feed updated information back to the resource model. The state variables of such models are actually distributions which are infinite dimensional supported. We use the Bayes spaces framework that allows the characterization of distributional data. Within this framework we develop a new mathematical tool for data assimilation process reproducing the complete information content embedded in distributional data like particle size distribution.

The distributional data assimilation approach is tested in a virtual assets models created as a fully controllable environment with particle size distribution properties. After validation, a sensitivity analysis investigates the effects of different parameters and derived practical implementation aspects for an effective application within an operating mine.

PURPOSE:

To develop a statistical method of combining multimodal MRI (mMRI) of adult glial brain tumours to generate tissue heterogeneity maps that indicate tumour grade and infiltration margins.

MATERIALS AND METHODS:

We performed a retrospective analysis of mMRI from patients with histological diagnosis of glioma (n = 25). 1H Magnetic Resonance Spectroscopic Imaging (MRSI) was used to label regions of "pure" low- or high-grade tumour across image types. Normal brain and oedema characteristics were defined from healthy controls (n = 10) and brain metastasis patients (n = 10) respectively. Probability density distributions (PDD) for each tissue type were extracted from intensity normalised proton density and T2-weighted images, and p and q diffusion maps. Superpixel segmentation and Bayesian inference was used to produce whole-brain tissue-type maps.

RESULTS:

Total lesion volumes derived automatically from tissue-type maps correlated with those from manual delineation (p < 0.001, r = 0.87). Large high-grade volumes were determined in all grade III & IV (n = 16) tumours, in grade II gemistocytic rich astrocytomas (n = 3) and one astrocytoma with a histological diagnosis of grade II. For patients with known outcome (n = 20), patients with survival time < 2 years (3 grade II, 2 grade III and 10 grade IV) had a high-grade volume significantly greater than zero (Wilcoxon signed rank p < 0.0001) and also significantly greater high grade volume than the 5 grade II patients with survival >2 years (Mann Witney p = 0.0001). Regions classified from mMRI as oedema had non-tumour-like 1H MRS characteristics.

CONCLUSIONS:

1H MRSI can label tumour tissue types to enable development of a mMRI tissue type mapping algorithm, with potential to aid management of patients with glial tumours.

The adiabatic temperature change ΔT_ad of a Mn_1.3Fe_0.7P_0.5Si_0.55 Fe₂P-type alloy was measured under different magnetic field-sweep rates from 0.93 Ts⁻¹ to 2870 Ts⁻¹. We find a field-sweep-rate independent magnetocaloric effect due to a partial alignment of magnetic moments in the paramagnetic region overlapping with the magnetocaloric effect of the first-order phase transition. Additionally, the first-order phase transition is not completed even in fields up to 20 T leading to a non-saturating behavior of ΔT_ad. Measurements in different pulsed fields reveal that the first-order phase transition cannot follow the fast field changes as previously assumed, resulting in a distinct field-dependent hysteresis in ΔT_ad.

Clays are considered as potential host rocks and backfill material for deep geological repositories for radioactive waste. Therefore, profound understanding of radionuclide retention processes at clay mineral surfaces is essential for a long-term safety assessment. As a result of the degradation of concrete within such a repository, hyperalkaline cement pore waters can evolve. Since the U(VI) sorption behavior at alkaline conditions is still poorly understood, batch experiments were combined with spectroscopic investigations in order to gain insight into the underlying retention processes on the molecular level.
U(VI) batch sorption experiments (pH 8-13) with various clay minerals at different carbonate concentrations (absence, 0.5 and 100 mM) showed a decreased U(VI) retention in the presence of carbonate up until a certain pH (pH 9.5 or pH 11, depending on [CO32-]) due to the formation of weakly sorbing uranyl carbonate complexes in aqueous solution, confirmed by time-resolved laser-induced fluorescence spectroscopy (TRLFS). This is in accordance with previous studies. However, also in the presence of carbonate, U(VI) retention is increased in even stronger alkaline solutions, which is attributed to the preferred formation of hydrolyzed U(VI) species.
In order to clarify the mechanisms responsible for the very strong U(VI) retention in the pH range 10-12 (absence and 0.5 mM CO32-), uranyl complexes on Ca-bentonite surfaces were examined directly, using site-selective TRLFS and extended X-ray absorption fine structure (EXAFS) spectroscopy (ESRF, Grenoble). Both techniques showed the presence of two different U(VI) surface complexes and no indication for U(VI) precipitation. Consequently, under the given conditions, adsorption is the dominant retention process despite the negative mineral surface charge and the anionic character of prevailing aqueous U(VI) species (i.e. UO2(OH)3-). The retention could be realized by mediating cations, which adsorb to the mineral surface in the first place, leading to a local compensation of negative surface charge. Experiments with different calcium concentrations confirmed that the presence of calcium significantly enhances the U(VI) retention between pH 10 an 12.

The exploration of effective platforms for immobilizing chemo- and biocatalysts to develop biohybrid catalysts is an attractive subject of practical interest. In this work, carbon nitride (C₃N₄) is used for the first time as a platform for the immobilization of metal catalyst (Pd nanoparticles) and biocatalyst (Candida antarctica lipase B, CalB) in a facile manner to prepare biohybrid catalyst. The optimal biohybrid catalyst inherits the intrinsic performance of both Pd nanoparticles and CalB, and shows high activity in the one-pot cascade reaction converting benzaldehyde to benzyl hexanoate at room temperature. With this proof of concept, it is expected that C₃N₄ can be utilized for immobilizing more types of chemo- and biocatalysts for perspective applications.

Purpose: Given its sensitivity to anatomical variations, proton therapy is expected to benefit greatly from integration with magnetic resonance imaging for online anatomy monitoring during irradiation.
Such an integration raises several challenges, as both systems mutually interact. The proton beam will experience quasi-continuous energy loss and energy-dependent electromagnetic deflection at the same time, giving rise to a deflected beam trajectory and an altered dose distribution with a displaced Bragg peak. So far, these effects have only been predicted using Monte Carlo and analytical models, but no clear consensus has been reached and experimental benchmark data are lacking. We measured proton beam trajectories and Bragg peak displacement in a homogeneous phantom placed inside a magnetic field and compared them to simulations.
Methods: Planar dose distributions of proton pencil beams (80–180 MeV) traversing the field of a 0.95 T NdFeB permanent magnet while depositing energy in a PMMA slab phantom were measured using EBT3 radiochromic films and simulated using the Geant4 toolkit. Deflected beam trajectories and the Bragg peak displacement were extracted from the measured planar dose distributions and compared against the simulations.
Results: The lateral beam deflection was clearly visible on the EBT3 films and ranged from 1 to 10 mm for 80 to 180 MeV, respectively. Simulated and measured beam trajectories and Bragg peak displacement agreed within 0.8 mm for all studied proton energies.
Conclusions: These results prove that the magnetic field-induced Bragg peak displacement is both measurable and accurately predictable in a homogeneous phantom at 0.95 T, and allows Monte Carlo simulations to be used as gold standard for proton beam trajectory prediction in similar frameworks for MR-integrated proton therapy.

Introduction: Preclinical and clinical data suggest that the chemokine pathway governed by SDF-1 and CXCR4 contributes to a resistant phenotype. This retrospective biomarker study aims to explore the specific prognostic value of SDF-1 and CXCR4 expression in locally advanced head and neck squamous cell carcinomas (HNSCC) treated with primary radiochemotherapy (RT-CT).
Material and methods: Biopsies from 141 HNSCC tumours of the oral cavity, oropharynx and hypopharynx were evaluated for SDF-1 and CXCR4 expression by immunofluorescence. SDF-1 and CXCR4 expression was correlated with clinico-pathological characteristics and outcome after RT-CT.
Results: Patients with tumours exhibiting overexpression of intracellular SDF-1 and CXCR4 have a higher risk for loco-regional relapse and a worse overall survival after RT-CT (multivariate analysis, hazard ratio 2.33, CI [1.18–4.62], p = 0.02 and hazard ratio 2.02, CI [1.13–3.59], p = 0.02, respectively). Similar results were observed when only the subgroup of HPV DNA negative patients were analysed (hazard ratio 2.23 and 2.16, p = 0.02 and p = 0.01, respectively).
Conclusions: Our data support the importance of SDF-1 and CXCR4 expression for loco-regional control and overall survival in HNSCC after primary radiochemotherapy. Prospective multivariate validation and further studies into CXCR4 inhibition to overcome radiation resistance are warranted.

Introduction In large brain metastases (BM) with a diameter of more than 2cm there is an increased risk of radionecrosis (RN) with standard stereotactic radiosurgery (SRS) dose prescription, while the normal tissue constraint is exceeded. The tumor control probability (TCP) with a single dose of 15Gy is only 42%. This in silico study tests the hypothesis that isotoxic dose prescription (IDP) can increase the therapeutic ratio (TCP/Risk of RN) of SRS in large BM.
Materials and methods A treatment-planning study with 8 perfectly spherical and 46 clinically realistic gross tumor volumes (GTV) was conducted. The effects of GTV size (0.5–4cm diameter), set-up margins (0, 1, and 2mm), and beam arrangements (coplanar vs non-coplanar) on the predicted TCP using IDP were assessed. For single-, three-, and five-fraction IDP dose–volume constraints of V12Gy = 10cm3, V19.2 Gy = 10cm3, and a V20Gy = 20cm3, respectively, were used to maintain a low risk of radionecrosis.
Results In BM of 4cm in diameter, the maximum achievable single-fraction IDP dose was 14Gy compared to 15Gy for standard SRS dose prescription, with respective TCPs of 32 and 42%. Fractionated SRS with IDP was needed to improve the TCP. For three- and five-fraction IDP, a maximum predicted TCP of 55 and 68% was achieved respectively (non-coplanar beams and a 1mm GTV-PTV margin).
Conclusions Using three-fraction or five-fraction IDP the predicted TCP can be increased safely to 55 and 68%, respectively, in large BM with a diameter of 4cm with a low risk of RN. Using IDP, the therapeutic ratio of SRS in large BM can be increased compared to current SRS dose prescription.

We study the generation of rotational flows in electrically conducting fluids due to the Electro-Vortex-Flow (EVF) phenomenon, i.e. the interaction of a non-uniform current with the magnetic field it generates. We have been developing a so-called code SFEMaNS since 2001 [2] capable of simulating the nonlinear magnetohydrodynamic (MHD) equations in heterogeneous domains (with electrical conductivity or magnetic permeability jumps) in axisymmetric geometries and with several fluids [1]. Liquid Metal Batteries are composed of three layers of fluids (liquid metal electrode–electrolyte–liquid metal electrode) of different densities lying over each other and stabilized by gravity. These batteries are prone to magnetohydrodynamical instabilities (e.g. the Tayler instability [3], the Metal Pad Roll instability [4], etc) which may deform the electrode–electrolyte interfaces until the ultimate situation of short circuit when the two metals touch each other.
In this talk we first discuss the typical intensity and structure of the axisymmetric flow in a liquid metal column covered by many previous studies. After that, we focus on EVF in liquid metal batteries (see figure 1). We discuss the deformation of the electrolyte-liquid metal interfaces caused by EVF and we characterize how EVF helps in mixing the bottom alloy layer.

Amyotrophic lateral sclerosis (ALS) is the most frequent motor neuron disease. Cytoplasmic fused in sarcoma (FUS) aggregates are pathological hallmarks of FUS-ALS. Proper shuttling between the nucleus and cytoplasm is essential for physiological cell function. However, the initial event in the pathophysiology of FUS-ALS remains enigmatic. Using human induced pluripotent stem cell (hiPSCs)-derived motor neurons (MNs), we show that impairment of poly(ADP-ribose) polymerase (PARP)-dependent DNA damage response (DDR) signaling due to mutations in the FUS nuclear localization sequence (NLS) induces additional cytoplasmic FUS mislocalization which in turn results in neurodegeneration and FUS aggregate formation. Our work suggests that a key pathophysiologic event in ALS is upstream of aggregate formation. Targeting DDR signaling could lead to novel therapeutic routes for ameliorating ALS.

Driven by genetic and epigenetic alterations, progression, therapy resistance and metastasis are frequent events in colorectal cancer (CRC). Although often speculated, the function of cell-cell contact for radiochemosensitivity, particularly associated with E-cadherin/catenin complex, warrants further clarification. In this study, we investigated the role of the E-cadherin/catenin complex proteins under more physiological three-dimensional (3D) cell culture conditions in a panel of CRC cell lines. In contrast to floating spheroids and growth in the laminin-rich matrix, collagen type 1 induced the formation of two distinct growth phenotypes, i.e., cell groups and single cells, in 5 out of the 8 CRC cell lines.
Further characterization of these subpopulations revealed that, intriguingly, cell-cell contact proteins are important for invasion, but negligible for radiochemosensitivity, proliferation and adhesion. Despite the generation of genomic and transcriptomic data, we were unable to elucidate the mechanisms through which α-catenin affects collagen type 1 invasion. In a retrospective analysis of patients with rectal carcinoma, a low α-catenin expression trended with overall survival, as well as locoregional and distant control. Our results suggest that the E-cadherin/catenin complex proteins forming cell-cell contacts are mainly involved in the invasion, rather than the radiochemosensitivity of 3D grown CRC cells. Further studies are warranted in order to provide a better understanding of the molecular mechanisms controlling cell-cell adhesion in the context of radiochemoresistance.

Background

Standardized treatment in pediatric patients with Hodgkin’s lymphoma (HL) follows risk stratification by tumor stage, erythrocyte sedimentation rate and tumor bulk. We aimed to identify quantitative parameters from pretherapeutic FDG-PET to assist prediction of response to induction chemotherapy.

Methods

Retrospective analysis in 50 children with HL (f:18; m:32; median age, 14.8 [4–18] a) consecutively treated according to EuroNet-PHL-C1 (n = 42) or -C2 treatment protocol (n = 8). Total metabolic tumor volume (MTV) in pretherapeutic FDG-PET was defined using a semi-automated, background-adapted threshold. Metabolic (SUVmax, SUVmean, SUVpeak, total lesion glycolysis [MTV*SUVmean]) and heterogeneity parameters (asphericity [ASP], entropy, contrast, local homogeneity, energy, and cumulative SUV-volume histograms) were derived. Early response assessment (ERA) was performed after 2 cycles of induction chemotherapy according to treatment protocol and verified by reference rating. Prediction of inadequate response (IR) in ERA was based on ROC analysis separated by stage I/II (1 and 26 patients) and stage III/IV disease (7 and 16 patients) or treatment group/level (TG/TL) 1 to 3.

Results

IR was seen in 28/50 patients (TG/TL 1, 6/12 patients; TG/TL 2, 10/17; TG/TL 3, 12/21). Among all PET parameters, MTV best predicted IR; ASP was the best heterogeneity parameter. AUC of MTV was 0.84 (95%-confidence interval, 0.69–0.99) in stage I/II and 0.86 (0.7–1.0) in stage III/IV. In patients of TG/TL 1, AUC of MTV was 0.92 (0.74–1.0); in TG/TL 2 0.71 (0.44–0.99), and in TG/TL 3 0.85 (0.69–1.0). Patients with high vs. low MTV had IR in 86 vs. 0% in TG/TL 1, 80 vs. 29% in TG/TL 2, and 90 vs. 27% in TG/TL 3 (cut-off, > 80 ml, > 160 ml, > 410 ml).

Conclusions

In this explorative study, high total MTV best predicted inadequate response to induction therapy in pediatric HL of all pretherapeutic FDG-PET parameters – in both low and high stages as well as the 3 different TG/TL.

The Kondo-lattice compound CeRhIn5 displays a field-induced Fermi surface reconstruction at B^* ≈ 30 T, which occurs within the antiferromagnetic state, prior to the quantum critical point at B_c0 ≈ 50 T. Here, in order to investigate the nature of the Fermi surface change, we measured the magnetostriction, specific heat, and magnetic torque of CeRhIn5 across a wide range of magnetic fields. Our observations uncover the field-induced itineracy of the 4f electrons, where above B_onset ≈ 17 T there is a significant enhancement of the Sommerfeld coefficient, and spin-dependent effective cyclotron masses determined from quantum oscillations. Upon crossing B_onset , the temperature dependence of the specific heat also shows distinctly different behavior from that at low fields. Our results indicate that the Kondo coupling is remarkably robust upon increasing the magnetic field. This is ascribed to the delocalization of the 4f electrons at the Fermi surface reconstruction at B^*.

Prostate cancer (PCa) is heterogeneous, harboring phenotypically diverse cancer cell types. PCa cell heterogeneity is caused by genomic instability that leads to the clonal competition and evolution of the cancer genome and by epigenetic mechanisms that result in subclonal cellular differentiation. The process of tumor cell differentiation is initiated from a population of prostate cancer stem cells (PCSCs) that possess many phenotypic and functional properties of normal stem cells. Since the initial reports on PCSCs in 2005, there has been much effort to elucidate their biological properties, including unique metabolic characteristics. In this Review, we discuss the current methods for PCSC enrichment and analysis, the hallmarks of PCSC metabolism, and the role of PCSCs in tumor progression.

We report the high-field-induced magnetic phases and phase diagram of a high quality U(Ru_0.92Rh_0.08 )₂Si₂ single crystal prepared using a modified Czochralski method. Our paper, that combines high-field magnetization and electrical resistivity measurements, shows for fields applied along the c-axis direction three field-induced magnetic phase transitions at μ₀H_c1 = 21.60, μ₀H_c2 = 37.90, and μ₀H_c3 = 38.25 T, respectively. In agreement with a microscopic up-up-down arrangement of the U magnetic moments the phase above H_c1 has a magnetization of about one-third of the saturated value. In contrast the phase between H_c2 and H_c3 has a magnetization that is a factor of 2 lower than above the Hc3 where a polarized Fermi-liquid state with a saturated moment M_s ≈ 2.1μ_B/U is realized. Most of the respective transitions are reflected in the electrical resistivity as sudden drastic changes. Most notably, the phase between H_c1 and H_c2 exhibits substantially larger values. As the temperature increases, transitions smear out and disappear above ≈15 K. However, a substantial magnetoresistance is observed even at temperatures as high as 80 K. Due to a strong uniaxial magnetocrystalline anisotropy, a very small field effect is observed for fields applied perpendicular to the c-axis direction.

Based on the data analysis of ultrasonic experiments, a novel approach has been developed to explore Jahn-Teller effect (JTE) problems in non-cubic crystals with JT centers without involving additional experimental data beyond the information about the electronic term and crystal symmetry. Distinguished from cubic crystals, the axis of symmetry of the bulk non-cubic crystal do not necessarily coincide with those of the local impurity center, thus complicating the relation between the distortions produced by the ultrasound wave and the JTE active modes. We analysed the problem with corresponding calculations for the wurtzite-type hexagonal crystal CdSe:Cr²⁺, in which the chromium ion substitutes the cadmium one in the tetrahedral environment, resulting in its electronic ground state ⁵T₂(e₂t₂). Experimental investigation of this system by ultrasound at frequencies of 28-105 MHz in the temperature range of 4-180 K, yields a peak in the attenuation of the ultrasound below 40 K for the normal modes related to the c ₁₁, c ₄₄, c ₅₅, c ₅₅, and c ₆₆ elastic moduli. The peak has been interpreted as the manifestation of the JTE, similar to the one, observed in cubic crystals doped with 3d ions. However, no anomalies of attenuation have been detected for the mode related to the c ₃₃ elastic modulus, in contradiction to the theoretical predictions based on the previous method, worked out for cubic crystals. In the new method we obtained direct relations between the deformations, related to the crystal moduli, and the local JT modes, calculated the partition functions for each of the three possible JTE problems for systems with an electronic T term, T⊗e, T⊗t₂ and T⊗(e + t₂) revealed how these deformations alter the vibronic energy levels responsible for the relaxations in the JT centers. It emerged that in the wurtzite crystal under consideration, only in the T⊗e problem the deformation related to the elastic moduli c ₃₃ displaces all the vibronic energy level uniformly, without relaxation possibilities, thus supporting the new method and explaining the experimental observations.

III-V compound semiconductors have fueled many breakthroughs in photonics owing to their direct optical band gap and the possibility to tailor it in ternary or quaternary alloys by selecting the chemical composition appropriately. More recently, III-V semiconductors in the form of free-standing nanowires have found new strengths for a wide range of future applications in nanotechnology, including nano-photonics. Here we explore the great possibilities for strain engineering in core/shell nanowires as an alternative route to tailor the optical band gap of III-V semiconductors without changing their chemical composition. In particular, we demonstrate that the GaAs core in GaAs/InxGa1-xAs or GaAs/InxAl1-xAs core/shell nanowires can sustain unusually large misfit strains that would have been impossible in equivalent thin-film heterostructures, and undergoes a significant modification of its electronic proper-ties.

Core/shell nanowires were grown in the self-catalyzed mode on SiOx/Si(111) substrates by molecular beam epitaxy [1, 2]. Strain analysis was performed using synchrotron X-ray diffraction and Raman scat-tering spectroscopy, and showed that for a thin enough core, the magnitude and the spatial distribution of the built-in misfit strain can be regulated via the composition and the thickness of the shell. Beyond a critical shell thickness, we obtain a heavily tensile-strained core and an almost strain-free shell. The tensile strain of the core exhibits a predominantly-hydrostatic character and causes the reduction of the GaAs band gap energy (Figure 1) in accordance with our theoretical predictions using deformation-potential theory and first-principle calculations. For 7 % of strain (x = 0.54), the band gap energy was reduced to 0.87 eV at 300 K, i.e. a remarkable reduction of 40 %. This is particularly important for ap-plications in optical fiber telecommunications because the emission from strained GaAs nanowires can now cover the O-band and potentially the S-band of telecommunication wavelengths.

Besides the optical band gap, a similar reduction is expected for the effective mass of free electrons in tensile-strained GaAs. The corresponding electron mobility was estimated by time-domain terahertz spectroscopy to be in the range of 4000 – 5000 cm2/V·s at 300 K (core diameter = 22 nm, x = 0.39–0.49). These values are the highest reported, even in comparison to GaAs/AlxGa1-xAs nanowires with double the core thickness. This means that high-mobility transistors could now be possible with strained GaAs nanowires.

All in all, our results demonstrate that strained GaAs in core/shell nanowires can resemble the electronic properties of InxGa1-xAs, which makes it suitable for near-infrared nano-photonics. The use of a binary alloy instead of a ternary one would be advantageous because phenomena like phase separation, surface segregation or alloy disorder that typically exist in ternary alloys and limit the performance of photonic or electronic devices, become now irrelevant.

A multiple quantum-well semiconductor saturable absorber mirror (MQW-SESAM) structure has been investigated by femtosecond pump-probe laser spectroscopy at a central wavelength of around 1050 nm. Coherent acoustic phonons are generated and detected over a wide frequency range from ~15 GHz to ~800 GHz. In the optical absorption region, i.e., in the multiple quantum wells (In0.27Ga0.73As), acoustic frequency combs centered at ~365 GHz, with a comb spacing of ~33 GHz, are generated. Most importantly, in the transparent region, i.e., in the distributed Bragg reflector, which is formed by a non-doped long-period semiconductor GaAs/Al0.95Ga0.05As superlattice, the mini-Brillouin-zone center, as well as zone-edge acoustic modes, are observed. The mini-zone-center modes with a fundamental frequency of 32 GHz can be attributed to the spatial modulation of the pump optical interference field with a period very close to that of the distributed Bragg reflector, in combination with the periodic spatial modulation of the electrostriction coefficient in the distributed Bragg reflector. The excitation of mini-zone-edge modes is attributed to the stimulated subharmonic decay of the fundamental center modes. Their subsequent back-folding to the mini-Brillouin-zone center makes them Raman active for the probe light.

The local dynamics of dendritic sidearms during the growth stage are studied by in-situ radiography observations at high spatial resolution of < 1 µm. A flat sample of a Ga-In alloy is solidified top-down applying a vertical temperature gradient. The evolving dendritic microstructure is visualized using synchrotron X-ray imaging at the beamline ID19 (ESRF, France). The experimental investigations on the dendrite evolution revealed a transition from a four-fold symmetry to a hyperbranched dendritic morphology. Both, the sidearm-splitting phenomena – responsible for this morphological transition – as well as the arm growth dynamics are characterized by image processing.

Monocarboxylate transporters 1 and 4 (MCT1 and MCT4) are involved in tumor development and progression. Their expression levels are related to clinical disease prognosis. Accordingly, both MCTs are promising drug targets for treatment of a variety of human cancers. The non-invasive imaging of these MCTs in cancers is regarded to be advantageous for assessing MCT-mediated effects on chemotherapy and radiosensitization using specific MCT inhibitors. Herein, we describe a method for the radiosynthesis of [18F]FACH ((E)-2-cyano-3-{4-[(3-[18F]fluoropropyl)(propyl) amino]-2-methoxyphenyl}acrylic acid), as a novel radiolabeled MCT1/4 inhibitor for imaging with PET. A fluorinated analog of α-cyano-4-hydroxycinnamic acid (FACH) was synthesized and the inhibition of MCT1 and MCT4 was measured via an [14C]lactate uptake assay. Radiolabeling was performed via a two-step protocol comprising the radiosynthesis of the intermediate (E)/(Z)-[18F]tert-Bu-FACH (tert-butyl (E)/(Z)-2-cyano-3-{4-[(3-[18F]fluoropropyl)(propyl)amino]-2-methoxyphenyl}acrylate) followed by deprotection of the tert-butyl group. The radiofluorination was successfully implemented using either K[18F]F-K2.2.2-carbonate or [18F]TBAF. The final deprotected product [18F]FACH was only obtained when [18F]tert-Bu-FACH was formed by the latter procedure. After optimization of the deprotection reaction, [18F]FACH was obtained in high radiochemical yields (39.6 ± 8.3%, EOB) and radiochemical purity (>98%).

Crystalline β-Ga2O3 thin films on (100)- and (111)-oriented Si substrates are produced by pulsed laser deposition. The as-deposited thin films are demonstrated to be polycrystalline and contain a slight deficit of oxygen atoms as measured by x-ray diffraction spectroscopy and Rutherford backscattering spectrometry, respectively. The crystallographic orientation of the Si substrate is found to play no role on the ultimate properties of the films. A direct optical band gap of 4.8 eV is determined by temperature-dependent photoluminescence excitation (PLE). Temperature-dependent PLE spectra reveal the existence of a deep acceptor level of around 1.1 eV with respect to the valence band related to self-trapped holes. We experimentally demonstrate that point defects in O-poor β-Ga2O3 thin films act as deep donors and the optical transitions are found to take place via recombination of electrons from one of the intrinsic deep donor levels with self-trapped holes located at 1.1 eV above the valence band. The 3.17 eV ultraviolet photoluminescence is proven to be related to self-trapped holes in a small polaron state between two O(II)-s sites, whereas the two blue (2.98, 2.72 eV) and the green (2.39 eV) luminescence bands are mainly originated from gallium-oxygen vacancy pairs in the (1-) charge state, gallium vacancies in the (2-) charge state and neutral oxygen interstitials, respectively.

This 3D geologic-stratigraphic modelling project is based on comprehensive drilling data originating from the Thaba mining lease area in the Western Bushveld Complex, South Africa. The geometric shape and distribution of manifold ultramafic and mafic rock types of the cyclic units of Lower and Upper Critical Zone of the Rustenburg Layered Suite is subject of this study. These 2.06 Ga old Paleoproterozoic successions occur as layered sequences at Thaba Mine and are characterized by shallow inclination towards SE (dipping angles 15° to 27°), distinct lateral and vertical continuity of the layering and the regular stratigraphic order of the horizons.
Therewith, the requirements for the 3D geologic modelling approach are complied. The technique is called ‘Integrated Stratigraphic Modelling’ and is utilized by Maptek’s Vulcan modelling suite. The project is started by compiling a drilling database of more than 400 boreholes that host collar, survey, geology, and assay data. The present rock types of the source data are classified into five classes (chromitite, ‘silicate’, alteration, structure, burden) and a stratigraphic list of 42 horizons is developed based on the positions of chromitite horizons in the drilling data. Preparations for the modelling include modifications of original drilling data by applying the succession of horizons on the stratigraphy field in the geology table of the database.
The developed stratigraphic horizon list is utilized by the software to sequence and interpolate floor and roof positions of each horizon. In total, the model consists of 21 chromitite layers (LG1 to MG4b) and 21 mafic interlayers. Interlayer horizons with the suffix -‘SIL’ comprise all rock types between two chromitite layers. Pyroxenite, harzburgite, and norite are most dominant; the higher in the stratigraphic column the more likely are rock types that contain cumulus plagioclase, e.g. anorthosites. Altered rock types such as troctolites and serpentinites are also occurring relatively frequent, but also discordant IRUP bodies as well as dykes and pegmatitic rocks.
Chromitite layers are representing the basal parts of cyclic units with average thicknesses between a few centimeters and one meter, in some cases up to a few meters. Especially Lower Group chromitites are occurring with relative constant thicknesses over the entire study area. The farms Schilpadnest, south-west Zwartkop, and Elandskuil are parts of the study area where the layering is developed best. Middle Group chromitites and their mafic host rocks are distributed much more discontinuous on the farms Zwartkop (north-east), Roodedam, and Middellaagte.
A pronounced lateral variation of the distribution of chromitites and host rock interlayers is recognizable in different parts of the study area, particularly areas of intense faulting between the farms Zwartkop and Middellaagte plus between Middellaagte and Elandskuil. Additionally, the consistency of the modelling results is reduced in areas were dominantly short boreholes occur, especially on the north-east section of farm Zwartkop.

The Institute of Resource Ecology / Helmholtz-Zentrum Dresden-Rossendorf operates since 20 years the Rossendorf Beamline (ROBL/BM20) at the European Synchrotron Radiation Facility (ESRF). The ESRF will interrupt the user operation for a large upgrade between January 2019 and July 2020. This time will be used to refurbish the existing experiments and to extend the experimental capacities including a diffractometer for single crystal diffraction.
This diffractometer intends to fill the gap between small molecule and large molecule crystallography. The photon flux of up to 1012 photons/sec allow the structure determination of small single crystals. The analysis of complex intergrown crystals and electron density studies is possible. The energy range of 5-35 keV allows the use of anomalous dispersion. In-situ experiments will be supported.
The objective requires the combination of a large detector, precise sample position and sufficient space for additional equipment. The diffractometer consists of an adjustable granite table with a metal frame which carry the detector. It follows a design of SNBL/ESRF and is manufactured by Instrument Design Technology Ltd/UK. The Bragg reflexes will be registered with a silicon Pilatus3 X 2M single photon counting detector. Samples will be mounted on a kappa goniometer. A microscope will be placed in a large distance 170 mm from the crystal, which allows to install a cryo cooler (80-400 K), a heater (1200 K), and a Vortex X90 CUBE silicon drift detector with a FalconX1 processor. The data extraction with will be performed with CRYSALIS. Individual components are already tested with X-ray beam.
The new single crystal diffractometer will be accessible starting from August 2020.

The Bushveld Complex, the largest layered mafic-ultramafic intrusion worldwide, is host of numerous, laterally continuous and chemically similar chromitite seams. Based on their stratigraphic position the seams are subdivided into a lower, middle and upper group (LG, MG and UG). Within these groups the seams are numbered successively – from the base to the top of each group. Attempts of discriminating between single seams based on their composition have failed – mainly due to the significant overlap of compositional fields, e.g. of chromitite mineral assemblages and chromite mineral chemistry between (neighboured) seams. In this contribution a tailored and easy to use multivariate classification scheme for the chromitite seams is proposed, based on a comprehensive classification routine for the LG and MG chromitites. This routine allows a clear attribution with known uncertainty of eight distinct chromitite seams. The study was carried out at the Thaba Mine, a chromite mine located on the western limb of the Bushveld Complex. The classification is based on a large geochemical database (N = 1205) from Thaba Mine. It comprises of a hierarchical discrimination approach relying on linear discriminant analysis and involves five distinct steps. Using default homogeneous prior probabilities, classification results are excellent for the first discrimination steps (LGs vs. MGs, 97 %; LG-6 vs. LG-6A, 94 %) and very good for the following steps (MG-1/2 vs. MG-3/4, 86 %; MG-1 vs. MG-2, 92 %; MG-3 vs. MG-4, 93 %; MG-4 vs. MG-4Z, 97 %; MG-4 vs. MG-4A, 88 %). The classification scheme was tested using the same sample set as a training set with unknown composition. Overall classification results for unknown samples belonging to one of the seams are 81 %. Hence, the classification scheme is at least valid for the Thaba mine. The approach may, however, be extended across the entire Bushveld, provided that an appropriate geochemical data set is available.

Small-scale variations in mineral chemistry, textures and platinum group element (PGE) mineralization were investigated in the Lower and Middle Group chromitite layers LG6, LG6a, MG1, MG2, MG2 II from vertical drill core profiles at the Thaba mine in the northwestern limb of the Bushveld Complex. We present detailed geochemical profiles of chromite composition and chromite crystal-size distribution curves to shed light on the processes of chromite accumulation and textural modification as well as mineralization. Multiple samples within each layer were assayed for platinum-group element concentrations and the respective platinum-group mineral association was determined by mineral liberation analysis (MLA).
There is strong evidence for post-cumulus changes in the chromitites. The crystal size distribution curves suggest that the primary chromite texture was coarsened by a combination of adcumulus growth and textural equilibration, while compaction of the crystal mush played only a minor role. Mineral compositions were also modified by post-cumulus processes, but because of the very high modal amount of chromite and its local preservation in orthopyroxene oikocrysts, that phase retained much primary information. Vertical variations of chromite composition within chromitite layers, and from one layer to another do not support the idea of chromite accumulation from crystal-rich slurries nor crystal settling from a large magma chamber. Instead, we favor a successive buildup of chromitite layers by repeated injections of relatively thin layers of chromite-saturated magmas, with in-situ crystallization occurring at the crystal mush-magma interface. The adcumulus growth of chromite grains to form massive chromitite required addition of Cr to the layers, which we attribute to downward percolation from the overlying magma.
The PGE concentrations are elevated in all chromitite layers compared to adjacent silicate rocks, and show a systematic increase upwards from LG6 (ave. 807 ppb Ir+Ru+Rh+Pt+Pd+Au) to MG2 II (ave. 2062 ppb). There are also significant internal variations in all layers, with enrichments at hanging and/or footwalls. The enriched nature of chromitites in PGE compared to host pyroxenites is a general feature, independent of the layer thickness. The MLA results distinguish two principal groups of PGE mineral associations: the LG6, LG6 and MG1 are dominated by the malanite series, laurite and PGE sulfarsenides, while the MG2 and MG2 II layers are characterized by laurite and PGE sulfides, as well as Pt-Fe-Sn and PGE-Sb-Bi-Pb alloys. Differences in the PGE associations are attributed to post-cumulus alteration of the MG2 and MG2 II layer, while the chromitites below, particularly LG6 and LG6a, contain the primary association.

Modifications of magnetic and magneto-optical properties of Pt/Co(dCo)/Pt upon Ar+ irradiation (with energy 1.2, 5 and 30 keV) and fluence, F at the range from 2e13-2e16 Ar+/cm^2) were studied. Two ‘branches’ of increased perpendicular magnetic anisotropy (PMA) and enhanced magneto-optical response are found on two-dimensional (dCo, F) diagrams. The difference in F between ‘branches’ is driven by ion energy. Structural features correlated with magnetic properties have been analysed thoroughly by X-ray diffraction, Rutherford backscattering spectrometry and positron annihilation spectroscopy. Experimental results are in agreement with TRIDYN numerical calculations of irradiation-induced layers intermixing. Our work discusses particularly structural factors related to crystal lattice defects and strain, created and modified by irradiation, co-responsible for the increase in PMA.

To-date, the best known (or most successfully implemented) spin-based device is the hard-disk read-head. Indeed, the discovery of giant magnetoresistance enabled a paradigm shift in the miniaturization of magnetic storage technology, which was disruptive enough to earn a Nobel for the two researchers who carried out the initial studies [1]. In a nutshell, giant magnetoresistance refers to the fact that the electrical properties of a multilayer containing at least two magnetic layers depend on the orientation of their magnetic moment. For instance, if the magnetic layers are cobalt, iron or nickel (or their alloys), the resistance of the structure is maximum when the magnetic moments are antiparallel to each other, and minimum when they are parallel.
More recently, it has been demonstrated the inverse phenomenon can also be observed: the relative orientation of the magnetic moments of two ferromagnetic layers can be manipulated by applying an electrical bias (i.e. a current or a voltage) across the structure. This is a consequence of spin-momentum transfer between the conduction electrons and the magnetization of the layer they are travelling across, which effectively induces a torque on the magnetization, the so-called ‘spin-transfer torque’ or ‘spin-torque’ [2-6]. Two main effects can be induced exploiting this torque: the magnetic moment of a given layer can be switched to a chosen direction – for instance, from parallel to antiparallel to the magnetization of the second layer – or it can be induced to gyrate around a given direction for as long as the electrical bias is applied. Today, spin-transfer switching is the write scheme for non-volatile, ultra-fast Spin-Transfer Torque Random Access Memory (STT-RAM) devices. STT-RAM can be designed so that they can scale down to more than one fifth of all other available technologies, including SRAM [7,8]. Spin-transfer driven precession [6] has been suggested as working principle for other spin-based nanoelectronics devices currently under consideration, which range from tuneable, low input power radio-frequency oscillators wireless communication, to magnetic field sensors, negative resistors, amplifiers, write heads and random number generators. Indeed, the frequency of such devices can be adjusted simply by changing the applied bias, and they provide sufficient power [9] while at the same time being about 50 times smaller than present devices used in mobile telecommunication [10]. Moreover, novel materials hold the promise of pushing the frequency limit beyond what present-day technology can achieve [11]. Possible applications include anti-collision systems for cars, remote hospitals and immersive audio-video entertainment systems.
The talk will present the different projects focusing on spin currents and spin-transfer-torque induced phenomena being pursued by the Spintronics Group at the Helmholtz-Zentrum Dresden-Rossendorf (Germany).

[1] http://www.nobelprize.org/nobel_prizes/physics/laureates/2007/index.html
[2] J. C. Slonczewski, J. Magn. Magn. Mater. 159, L1 (1996).
[3] L. Berger, Phys. Rev. B 54, 9353 (1996).
[4] M. D. Stiles, A. Zangwill, Phys. Rev. B 66, 014407 (2002).
[5] J. A. Katine, F. J. Albert, R. A. Buhrman et al., Phys. Rev. Lett. 84, 3149 (2000).
[6] S. I. Kiselev, J. C. Sankey, I. N. Krivorotov et al., Nature (London) 425, 380 (2003).
[7] http://www.avalanche-technology.com/technology/ram
[8] http://www.everspin.com/
[9] A. Deac, A. Fukushima, H. Kubota, et al., Nature Phys. 4, 803 (2008).
[10] P. Villard, U. Ebels, D. Houssameddine, et al., IEEE J. Solid-State Circuits 45, 214 (2010).
[11] S. Mizukami, F. Wu, A. Sakuma, et al., Phys. Rev. Lett. 106, 117201 (2011).

kein Abstrakt vorhanden

Aluminium sheets of high purity were produced by accumulative roll bonding (ARB) at room temperature. The microstructure of the sheets up to 16 ARB cycles was analyzed by scanning electron microscopy. In all sheets discontinuous dynamic recrystallization occurred leading to coarse grains. In general, the grain size decreases with increasing number of applied ARB cycles, but remains much larger than the theoretical layer thickness after 6 or more ARB cycles. It is shown for the first time, how the interfaces introduced by ARB have a significant effect on the elongated grain shape by a combined experimental-numerical-study: The resulting microstructure is qualitatively discussed with regard to defects introduced at the interfaces by the ARB process, while two-dimensional Potts model simulations yield very good qualitative agreements with the experiments and underpin the importance of the ARB interfaces as barriers for the motion of grain boundaries.

Background and purpose: The aim was to investigate the incidence of isolated regional failure following stereotactic ablative radiotherapy (SABR) and risk factors for recurrence. Materials and methods: Early stage non-small cell lung cancer (NSCLC) patients treated with SABR were included in this retrospective cohort study, with isolated regional recurrence (IRR) as primary endpoint, distant recurrence (DR) and overall survival (OS) as secondary endpoints. Survival analyses were performed using the cumulative incidence function (IRR and DR) or the Kaplan–Meier method (OS) and Cox proportional hazards modelling for univariate and multivariate analyses. The prognostic effect of contact between the tumour and the pleura was investigated using the CT scans used for SABR planning. Results: A total of 554 patients were included, of whom 494 could be analysed for IRR. The median follow-up for surviving patients was 48.1 months. Twenty-one patients developed an IRR (4%). The cumulative incidence of IRR and DR after 1-, 2-, and 5 years was 2%, 3%, 7% and 8%, 15% and 21%, respectively. Two year OS was 71%. The presence and type of pleural contact was not associated with any of the studied outcomes. Conclusion: The presence, type and length of pleural contact as surrogate for visceral pleural invasion were not predictive for outcome. Further studies focussing on risk factors for occult nodal involvement, (I)RR, distant metastases and mortality in early stage NSCLC are warranted for the development of risk adapted diagnostic, treatment and follow-up strategies as more younger, operable and fitter patients receive SABR. © 2018 Elsevier B.V.

Hybrid spin-mechanical systems are a promising platform for future quantum technologies. Usually they require application of additional microwave fields to project integer spin to a readable state. We develop a theory of optically detected spin-mechanical resonance associated with half-integer spin defects in silicon carbide (SiC) membranes. It occurs when a spin resonance frequency matches a resonance frequency of a mechanical mode, resulting in a shortening of the spin relaxation time through enhanced spin-phonon coupling. The effect can be detected as an abrupt reduction of the photoluminescence intensity under optical pumping without application of microwave fields. We propose all-optical protocols based on such spin-mechanical resonance to detect external magnetic fields and mass with ultra-high sensitivity. We also discuss room-temperature nonlinear effects un- der strong optical pumping, including spin-mediated cooling and heating of mechanical modes. Our approach suggests a new concept for quantum sensing using spin-optomechanics.

Thanks to the coupling between chemical precipitation reactions and hydrodynamics, new dynamic phenomena may be obtained and new types of materials can be synthesized. Here we experimentally investigate how the characteristic microscopic crystal properties affect the macroscopic pattern obtained. To shed light on such interactions, different reactant solutions are radially injected into a calcium chloride solution at different volumetric flow rates in a confined geometry. Depending on the reactants used and the flow conditions, deformed precipitate membranes have been observed due to reaction-driven viscous fingering. In such cases we show that upon injection a large number of small particles is produced in situ by the reaction at the miscible interface between the two reactant solutions. Therefore, a colloidal gel composed of those tiny particles is pushed forward by the injected aqueous solution giving rise to a viscosity gradient-driven hydrodynamic instability.

The invited lecture discusses fundamentals and applications of tomographic imaging for multiphase flow measurement. A focus is given to the fields of oil and gas production, chemical engineering and nuclear engineering. Th etals addresses open quesions and future needs and exemplarily demonstrates the use of tomographic imaging techniques in fundmental and engineering research at HZDR.

In the world of geoanalytics and mining statistics we are often confronted with indirect and uncertain measurments, where there might be considerable bias in the observations itself. This contribution addresses a new view to robust Bayesian inference, which might be suitable to address such problems.

Bayes spaces are spaces of distributions and likelihoods, similar to compositions and the Aitchison simplex. In these spaces the updating a prior to a posterior is a vector addition. This simple structure allows it to reconsider questions from Bayesian statistical analysis. E.g. a posteriors from different priors have a constant difference independent of the actual observation.

In this contribution we will consider robustness against uncertainty in model assumptions and data errors. The structure allows it to introduce uncertainty about the prior knowledge by replacing a single prior by convex set of possible priors and a single model of likelihoods by convex sets of possible models. A Bayesian update is than convex Minkowski sum of the two sets, which can be explictly computed and analysed. We will show in examples how model uncertainty and possible data errors can be expressed.

We will also discuss the uncertainty introduced by this approach. While uncertainty measured in the geometry of the Bayes spaces measured as diameter convex result will diverge at rate n, we can typically observe a constant residual uncertainty in the model estimation.

Multiple Point statistics typically provides a known distribution of the random field by means of the training image. Classical Geostatistics estimates the variogram, which is only an aspect of the distribution of the field. Both thus might use an inappropriate description of the distribution of the random field. The only exception are the high order cummulants methods and spline methods using a completly nonparametric approach. This contribution addresses the possibility to estimate the distributions for Nongaussian Random fields at the example of categorical random fields in a multiple point statistics setting.

The core idea is to discribe possible characteristics of fields by using small training patches, which can be combinded to span a space of possible random field distribution models. The specific combination is selected by a distribution valued parameter, which can be estimated from an a sampled random fields using an estimation procedure based on observation likelihoods.

Similarly to the difficulty in estimating the shape parameter of the Matern variogram there is little power in this procedure to estimate the roughness of boundaries. We will thus introduce a prior preweighting of the patches according to our physical assumptions about the boundaries.

The same procedure allows to measure, how good the high order statistics of final simulation fit to the orignal observations. We will use this to check the conditional simulations for distributional consistency with the conditioning set.

For centuries the German proverb “Vor der Hacke ist es duster” has aptly described the lack of knowledge about ore volumes, grades and beneficiation characteristics during the incremental progress of mining operations. Although much progress has been made constraining ore volumes and grades by following rigorous exploration drilling programs and applying appropriate geostatistical and spatial modelling tools, there still remains considerable technical risk when exploration turns into exploitation. This is illustrated by the observation that ca. 70% of mines perform below the prediction of their feasibility study (Wood, 2018). This underperformance is usually attributed to deficiencies in the collection of tangible geoscientific data needed to design the mine and the minerals processing plant (Wood, 2018).
Geometallurgy is an interdisciplinary approach that aims to connect the data available from geosciences with the information required to predict the performance of technologies used for ore extraction and mineral beneficiation. Tangible resource characteristics – beyond grade and tonnage - are quantified to create a model that links the geology of an ore deposit with the performance achieved during mining, mineral processing and extractive metallurgy. Successful geometallurgical programs may thus be used to mitigate the risk of production planning and plant design. However, the tools of geometallurgy have thus far mostly been used by the mining industry to improve metal recoveries and to monitor process efficiency of mineral processing plants only.
Present research goes beyond these current applications of geometallurgy. Predictive geometallurgical models for complex ore bodies and even anthropogenic raw materials are being developed by interdisciplinary teams including expertise in exploration, resource characterization, minerals processing, geostatistics and spatial modelling. Case studies will be presented in this contribution that illustrate the approach taken. These examples include (1) the recovery of Sn from a historic flotation tailings storage facility; (2) the recovery of PGE as a by-product of chromite exploitation; and (3) the intelligent use of quantitative mineral abundance and mineral association data to predict the prospects of success of sensor-based sorting.
Results obtained in the three case studies illustrate the prospects of increasing resource and energy efficiency in the mining industry. Innovative approaches are of general applicability and can be easily extended to other metals and ore deposit types. The results clearly illustrate the value of conducting comprehensive geometallurgical assessments already during the latter stages of exploration; the initial process of constructing a predictive geometallurgical model will, of course, benefit greatly from regular follow-up during the phase of active exploitation.

In solidification science, the solid-liquid interfacial area density is a key metric that characterizes the overall semi-solid morphology in a general sense. This interfacial area density can be defined in two different ways... [Abstract not available for Corrigenda]

For the in-situ observation of dynamical processes radiographic imaging possess significant advantages over tomographic reconstruction in terms of e.g. time resolution and data handling. However, on the other hand essential spatial information is lost in the projected 2D image. The proposed method demonstrates, how in the case of continuously growing, coherent structures such as dendrites their time evolution can be utilized in recovering the 3D morphology. In addition, the reconstruction incorporates some prior knowledge including the smoothness and preferential growth directions of the interface. The capabilities of the method are assessed for different situations based on simulated experiments of dendritic growth. Finally, the reconstruction of evolving dendrites from flat sample synchrotron experiments is shown.

Froth flotation is a fundamental technique to separate minerals. Hydrophobized target particles attach to the fluidic interface of gas bubbles rising in a suspension. The success of the process depends on both the surface chemistry for the hydrophobization of particles and the hydrodynamics for an encounter between bubble and particle. In the first part of the talk on overview about flotation research and modeling is given.
The second part of the talk is devoted to own research on the hydrodynamics in model cells. To quantify this performance in terms of recovery, the number of target particles at various times in a reference volume is measured. One of the remaining challenges in this field is the flotation of fine particles with a size below 10 µm. Caused by their small inertia, the particles follow the streamlines around the bubble and no collision occurs [1]. This work focuses on the measurement of the collision probability of particles with a small inertia at the bubble surface to advance our understanding of relevant microprocesses and its influence on the flotation recovery. With a 4D particle tracking velocimetry device the particle and bubble trajectories were measured simultaneously with a high temporal (1000 fps) and spatial resolution (0.03 mm/pixels). We developed an algorithm to evaluate the flotation recovery based on the collision and attachment probability [2]. The three-phase flow within a rectangular bubble column consisted of fluorescent polystyrene particles (33 µm, 1.05 g/cm3), a bubble chain (1-7 mm) and deionized water with methanol. The variation of the bubble diameter and methanol concentration led to a change of the fluid flow around the bubble (Re = 100 - 1200) and the particle hydrophobization. The results show the preferred collision of the particles at the rear of the bubble due to a higher acceleration within the vortices in the wake.

[1] Yoon and Luttrell, Mineral Processing and Extractive Metallurgy Review 5, 101 (1989).
[2] AE Sommer, M Nikpay, S Heitkam, M Rudolph, K Eckert, Minerals Engineering 124, 116-122 (2018)

Curvature-driven interface motion plays an important role in the formation of the final microstructure during dendritic solidification. Usually, such motion results in a coarser microstructure via coalescence or retraction of dendrite sidebranches \cite{ref1}. Under certain conditions, however, the microstructure can be refined due to curvature-driven pinching events that lead to dendrite fragmentation. Such pinching events are a strong function of the size and shape of the initial dendrite structure \cite{ref2}. In the present study, two- and three-dimensional phase-field simulations are performed to investigate coarsening and refinement phenomena during directional solidification of alloys. The phase-field model is solved using a finite element library that permits adaptive mesh refinement and exhibits wide parallel scalability on supercomputing facilities. A semi-implicit time integration scheme is used to allow for adaptive time stepping, which is important in particular, since curvature-driven interface motion occurs on significantly larger time scales than the initial growth. The present talk will focus on some characteristics of the applied model and physical insights that were obtained.

Purpose: The purpose of this study was to evaluate a set of widely used nuclear medicine imaging agents as possible methods to study the early effects of systemic inflammation on the living brain in a mouse model of sepsis-associated encephalopathy (SAE). The lipopolysaccharide (LPS)-induced murine systemic inflammation model was selected as a model of SAE.
Procedures: C57BL/6 mice were used. A multimodal imaging protocol was carried out on each animal 4 h following the intravenous administration of LPS using the following tracers: [99mTc][2,2-dimethyl-3-[(3E)-3-oxidoiminobutan-2-yl]azanidylpropyl]-[(3E)-3-hydroxyiminobutan-2-yl]azanide ([99m
Tc]HMPAO) and ethyl-7-[125I]iodo-5-methyl-6-oxo-4H-imidazo[1,5-a][1,4]ben-zodiazepine-3-carboxylate ([125I]iomazenil) to measure brain perfusion and neuronal damage, respectively; 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) to measure cerebral glucose uptake.
We assessed microglia activity on another group of mice using 2-[6-chloro-2-(4-[125I]iodo-phenyl)-imidazo[1,2-a]pyridin-3-yl]-N-ethyl-N-methyl-acetamide ([125I]CLINME). Radiotracer uptakes were measured in different brain regions and correlated. Microglia activity was also assessed using immunohistochemistry. Brain glutathione levels were measured to investigate oxidative stress.
Results: Significantly reduced perfusion values and significantly enhanced [18F]FDG and [125I]CLINME uptake was measured in the LPS-treated group. Following perfusion compensation, enhanced [125I]iomazenil uptake was measured in the LPS-treated group’s hippocampus and cerebellum. In this group, both [18F]FDG and [125I]iomazenil uptake showed highly negative correlation to perfusion measured with ([99mTc]HMPAO uptake in all brain regions. No significant differences were detected in brain glutathione levels between the groups. The CD45 and P2Y12 double-labeling immunohistochemistry showed widespread microglia activation in the LPS-treated group.
Conclusions: Our results suggest that [125I]CLINME and [99mTc]HMPAO SPECT can be used to detect microglia activation and brain hypoperfusion, respectively, in the early phase (4 h post injection) of systemic inflammation. We suspect that the enhancement of [18F]FDG and [125I]iomazenil uptake in the LPS-treated group does not necessarily reflect neural hypermetabolism and the lack of neuronal damage. They are most likely caused by processes emerging during neuroinflammation, e.g., microglia activation and/or immune cell infiltration.

We have investigated the influence of electron beam generated defects on the structure of periodic lattice distortions (PLDs) which accompany charge density wave modulations in 1T -TaS2 and 1T -TaSe2 . Lattice defects were generated through irradiation with high-energy electrons in a transmission electron microscope (TEM). Using atomically resolved high-resolution TEM imaging, we investigate the PLD structure and the changes in this structure with prolonged exposure to the electron beam. We observe the formation of dislocationlike topological defects in the PLD structure. Prolonged exposure to the electron beam also leads to an increase in density of these defects. This is also accompanied by an increase in structural disorder of the PLD. Density functional theory calculations were also performed in order to understand sulfur (S) and selenium (Se) vacancy defect formation in 1T -TaSe2 and 1T -TaS2 and their effects on the PLD structure. The formation energy of Se/S vacancies was calculated to be lowest for the highly displaced S/Se atoms in the vicinity of PLD maxima. Vacancies formed at the less displaced sites near the PLD minima were found to have lower formation energy. The calculations also showed that an increase in the S/Se vacancies leads to the formation of dislocations and an increase in disorder in the PLD structures. This supports the experimental observations.

It is well known that mechanical properties of wood correlate with the density. Since wood is a naturally grown material, variations in the density distribution still exist in timber elements leading to a non-uniform distribution of mechanical properties. To investigate the density distribution in timber elements at the meter scale non-destructively, the gamma-ray computed tomography (CT) scanner, firstly introduced in 2007 by Hampel et al., has been applied. The CT scanner offers a spatial resolution of about 1-2 mm. Nevertheless, small single structures like cracks or branches can be revealed up to a size of several micrometers.
As object of interest, a molded wooden tube (MWT) [3] with a length of 3 m and a diameter of 0.3 m made of beech (Fagus sylvatica) is used. The MWT is produced in a thermo-hydro-mechanical process incorporating densification and recovery of wood transverse to the grain. Thus, besides naturally grown density variations also variations due to the production process of the MWT occur.
In order to verify the assumption that the mechanical properties correlate with the density, an axial compression test is performed with the MWT previously scanned with CT. The spatial deformations on the surface of the MWT were measured by photogrammetry and digital image correlation (DIC) is applied to determine the strain distribution.
The density and geometry data gathered by CT is also used to create a finite element (FE) model. Based on the density data, the elastic properties of the respective elements are defined. The axial compression test is simulated and the results in terms of the strain distributions are compared to the experimental data determined by DIC.
The results of the investigations showed that computed tomography is highly suitable for the non-destructive determination of the density distribution in structural elements of timber. Thus, besides for research purposes CT scanning might be used also in the future for industrial grading of timber elements.

Spin caloritronics still is a vivid field and aims to investigate static and dynamic effects on magnetic structures due to spin-currents generated by thermal gradients [1]. In magnetic tunnel junctions, magnetization dynamics can be induced by bias voltage as well as thermal gradients [2]. In most research, COMSOL simulations are used to estimate the overall temperature of the magnetic tunnel junction as well as the thermal gradient over the insulating barrier [3-5]. Here, we perform COMSOL simulations using the 2D heat transfer module for specific Co2FeAl/MgO(2nm)/CoFeB magnetic tunnel junctions which are integrated into so-called microresonators [6]. Microresonators have been recently used as alternative approach to investigate the magnetization dynamics of the free-layer within magnetic tunnel junctions, induced by a thermal gradient by means of its ferromagnetic resonance response [6]. Utilizing microresonators for ferromagnetic resonance detection allow for the detection of signals from micron/nano-sized object under laser heating in terms of linewidth and resonance field and thus provide the possibility to detect influences of a thermal gradient on the magnetization dynamics far below the threshold of magnetic switching. The heat diffusion over all layers are modeled by starting with a 2D (vertical) rectangular shape in which we consider the MTJ stack with the MgO-substrate and backside metallization as part of the microresonators shown in Fig 1. Moreover, we consider an air ‘layer’ and the metal-contacts defining the microresonator on top of the MgO-substrate. Upon rotation of this two-dimensional shape around the central vertical z-axis of the MTJ, we obtain a 3D cylinder in which the heat profile is simulated (see Fig 2). The simulation parameters for the materials were chosen similar to those in [3,4]. In the simulation, the fundamental properties of layers i.e. thermal conductivity, heat capacity and material density are used to obtain a temperature profile of the magnetic structure. According to the simulation results, the thermal conductivity of the insulating barrier (MgO) and top metal thicknesses influence the thermal gradient, while uniform heating is strongly affected by the surrounding material of the microresonator which is mainly made from copper (high thermal conductivity). The simulation results provide insight into the heat profile of the whole structure and in particular demonstrate that not only changing the magnetic object itself but also modifying the structure of the surrounding materials yields a handle to tune and optimize the thermal gradient.
Figure 1. 2D sketch of MTJ structure integrated into a microresonator for COMSOL modelling. Heat source, i.e. cw- laser is applied to magnetic layers through the top-metal. The temperature of the bottom of the whole structure is set to 293.15 K.
Figure 2. (a) Temperature profile across the MTJ integrated in a microresonator with the applied power of 145 mW inset (b) 3D cylindrical image of MTJ structure.

[1] Bauer G E W, Saitoh E and van Wees B J 2012 Nat. Mater. 11 391
[2] Jia X, Xia K and Bauer G E W 2011 Phys. Rev. Lett.107 176603
[3] Walter M et al 2011 Nat. Mater. 10 742
[4] Huebner T, Boehnke A, Martens U, Thomas A, Schmalhorst J M, Reiss G, Münzenberg M and Kuschel T 2016 Phys. Rev. B 93 224433
[5] T Huebner et al 2018 J. Phys. D: Appl. Phys. 51 224006
[6] H Cansever et al 2018 J. Phys. D: Appl. Phys. 51 224009

The complexity of competing interactions in high-temperature superconductors provides a fertile ground for collective modes of different origins. Their coupling to the superconducting order parameter may give important insight into the microscopic pairing mechanism. One prominent example in cuprates is the magnetic resonant mode, whose experimental observation spawned theoretical investigations of pairing scenarios mediated by antiferromagnetic fluctuations. Now, phase-resolved nonlinear terahertz spectroscopy of the superconducting Higgs mode offers a new way to reveal the coupling between the collective modes and the superconducting order parameter.
Using this technique, we discover a new collective mode distinct from the heavily damped Higgs mode in different families of cuprates. We discuss the origin of this mode and characterize its interplay with the Higgs mode. Our results demonstrate Higgs spectroscopy as a new approach to uncover interactions directly relevant to superconductivity. This technique opens up entirely new avenues for understanding unconventional superconductivity and calls for supporting theoretical work to unlock its full power.

Experimental nuclear astrophysics aims to study, in the laboratory, the nuclear reactions taking place in stars. However, at the energies relevant to stellar burnings, the relevant cross sections are strongly reduced by the repulsive Coulomb barrier. As a result, ion beam experiments in underground laboratories shielded from cosmic ray effects are needed in order to gain precise data. The Felsenkeller 5 MV accelerator, below 45 m rock in Dresden, is the first such accelerator on the MV scale in Europe. The laboratory was jointly built by HZDR and TU Dresden and opened in 2018. Both an internal and an external ion source have already been tested successfully underground. The accelerator itself is under commissioning, as well as a high-sensitivity radioactivity counting setup by TU Dresden. The talk will summarise the science case and the status for the new laboratory.

I review the status of the Felsenkeller 5 MV underground accelerator in view of the CELLAR network of underground labs.

I review Nuclear Astrophysics: Nucleosynthesis and Chemical Evolution Studies.

I review the status of the 5 MV underground accelerator at Felsenkeller, Dresden/Germany.

A 5 MV Pelletron accelerator with both an internal and an external ion source providing for intensive 1H+, 4He+, and 12C+ beams is being installed in the Felsenkeller underground site in Dresden, shielded from cosmic rays by 45 m rock overburden. Civil construction has recently been completed. The technical features of the new laboratory, test results, and the scientific program will be summarized. In addition to in-house research by HZDR and TU Dresden, the new accelerator will be open for outside users, both from Germany and worldwide.

Laser pulses facilitate multiphoton contributions to the trident pair production e_L^- \to e_L^- + e_L^+ + e_L^-, where the label L indicates a laser field dressed electron (e^-) or positron (e^+ ). We isolate the impact of the pulse envelope in the trident S matrix element, formulated within the Furry picture, in leading order of a series expansion in the classical non-linearity parameter a_0. Generally, the Fourier transform of the envelope carries the information on the pulse length, which becomes an easily tractable function in the case of a cos^2 pulse envelope. The transition to a monochromatic laser wave can be handled in a transparent manner, as also the onset of multiphoton effects for short pulses can be factorized out and studied separately.

The 18O(p,α)15N reaction affects the synthesis of 15N, 18O and 19F isotopes, whose abundances can be used to probe the nucleosynthesis and mixing processes occurring deep inside asymptotic giant branch (AGB) stars. We performed a low-background direct measurement of the 18O(p,α)15N reaction cross-section at the Laboratory for Underground Nuclear Astrophysics (LUNA) from center of mass energy E_CM= 340 keV down to E_CM = 55 keV, the lowest energy measured to date corresponding to a cross-section of less than 1 picobarn/sr. The strength of a key resonance at center of mass energy E_r = 90 keV was found to be a factor of 10 higher than previously reported. A multi-channel R-matrix analysis of our and other data available in the literature was performed. Over a wide temperature range, T=0.01-1.00 GK, our new astrophysical rate is both more accurate and precise than recent evaluations. Stronger constraints can now be placed on the physical processes controlling nucleosynthesis in AGB stars with interesting consequences on the abundance of 18O in these stars and in stardust grains, specifically on the production sites of oxygen-rich Group II grains.

In this paper, we develop a hyperspectral feature extraction method called sparse and smooth low-rank analysis (SSLRA). First, we propose a new low-rank model for hyperspectral images (HSIs) where we decompose the HSI into smooth and sparse components. Then, these components are simultaneously estimated using a nonconvex constrained penalized cost function (CPCF). The proposed CPCF exploits total variation penalty, ℓ1 penalty, and an orthogonality constraint. The total variation penalty is used to promote piecewise smoothness, and, therefore, it extracts spatial (local neighborhood) information. The ℓ1 penalty encourages sparse and spatial structures. Additionally, we show that this new type of decomposition improves the classification of the HSIs. In the experiments, SSLRA was applied on the Houston (urban) and the Trento (rural) datasets. The extracted features were used as an input into a classifier (either support vector machines (SVM) or random forest (RF)) to produce the final classification map. The results confirm improvement in classification accuracy compared to the state-of-the-art feature extraction approaches.

Ein optimaler und auslegungskonformer Betrieb ist das Ziel eines jeden Anlagenbe-treibers. Unregelmäßigkeiten sollten möglichst ohne Betriebsunterbrechung detek-tiert und lokalisiert werden können.
Die Einflüsse auf die Betriebsweise von Rohrleitungen und Chemieanlagen sind sehr vielfältig. Ablagerungen in Rohrleitungen führen beispielsweise zu erhöhten Druckverlusten oder gar zu Durchsatzeinbußen; Ablagerungen in Behältern zum Verlust wertvollen Lagervolumens.
Ursachen für das Fehlverhalten von Kolonnen sind häufig Beschädigungen von Einbauten, die bei Packungs- oder Füllkörperkolonnen zu einer ungleichmäßigen Fluidverteilung über den Kolonnenquerschnitt führen können. Typische Probleme von Bodenkolonnen sind das Fluten einzelner Böden, das Mitreißen von Flüssig-keit, das Schäumen oder das Durchregnen.
Mit Hilfe von Gamma-Durchstrahlungsverfahren, die auf der Schwächung der von einer umschlossenen Quelle emittierten ionisierenden Strahlung basieren, sind in der Lage, die beschriebenen Fehler zu detektieren und zu lokalisieren.
Im Beitrag werden nach einer kurzen Erläuterung der physikalischen Grundlagen und des Messprinzips an Hand von Praxisbeispielen die verschiedenen Anwen-dungsmöglichkeiten und Grenzen des Gamma-Durchstrahlungsverfahrens vorge-stellt.

Light detection and ranging (LiDAR) is a useful data acquisition technique, which is widely used in a variety of practical applications. The classification of LiDAR-derived rasterized digital surface model (LiDAR-DSM) is a fundamental technique in LiDAR data processing. In recent years, deep learning methods, especially convolutional neural networks (CNNs), have shown their capability in remote sensing areas, including LiDAR data processing. Traditional deep models empirically use a fixed neighborhood system as input to the network. Therefore, the weight and height of the input rectangle may not be optimal. In order to modify such handcrafted setting, a spatial transformation network is used here to identify optimal inputs. The transformed inputs are fed into a well-designed CNN to obtain the final classification results. Furthermore, morphological profiles are combined with spatial transformation CNN to further improve the classification accuracy. The proposed frameworks are tested on two LiDAR-DSMs (i.e., the Recology and Houston data sets). The experimental results show that the proposed models provide competitive results compared to the state-of-the-art methods. Furthermore, the proposed optimal input identification approach can also be found beneficial for other remote sensing applications.

The PT-symmetric V = ix³ model over the real line is infra-red (IR) truncated and considered as Sturm-Liouville problem over a finite interval. Structures hidden in the Airy function setup of the V = ix³ model are combined with WKB techniques developed by Bender and Jones in 2012 for the derivation of the real part of the spectrum of theV = ix³ model. Via WKB and Stokes graph analysis, the location of the complex spectral branches of the ix³ model as well as those of more general V = -(ix)²ⁿ⁺¹ models over finite intervals are obtained. Splitting the related action functions into purely real scale factors and scale invariant integrals allows to extract underlying asymptotic spectral scaling graphs. These (structurally very simple) scaling graphs are geometrically invariant and cutoff-independent so that the IR limit can be formally taken. Moreover an increasing length scale can be associated with a spectral UV-IR renormalization group flow on this scaling graph. It is shown that the eigenvalues of the IR-complete V = ix³ model can be bijectively mapped onto a finite segment of the scaling graph asymptotically approaching a (scale invariant) PT phase transition region. In this way, a simple heuristic picture and complementary explanation for the unboundedness of projector norms and C-operator for the ix³ model are provided and the lack of quasi-Hermiticity of the ix³ Hamiltonian over the real line appears physically plausible. Possible directions of further research are briefly sketched.

The PT-symmetric quantum mechanical V = ix³ model over the real line is infra-red (IR) truncated and considered as Sturm-Liouville problem over a finite interval of the real line. Via WKB and Stokes graph analysis, the location of the complex spectral branches of the V = ix³ model as well as those of more general V = -(ix)²ⁿ⁺¹ models over finite intervals are obtained. Underlying asymptotic spectral scaling graphs are extracted which are scale-invariant so that the IR completion can be performed. Implications for the V = ix³ model over the full real line are discussed.

The PT-symmetric V=ix³ model over the real line is IR truncated and considered as Sturm-Liouville problem over a finite interval. Combining structures hidden in the Airy function setup of the V=ix model with WKB techniques developed by Bender and Jones in 2012 for the derivation of the real part of the spectrum of the ix³ model, a WKB and Stokes graph analysis for the complex spectral branches of the ix³ model as well as those of more general V=-(ix)²ⁿ⁺¹ models over finite intervals is performed. Complementary insights into the spectra of these models are obtained by splitting the spectral branch-structure into purely real scale factors and asymptotic spectral scaling graphs. It turns out that the corresponding (structurally very simple) scaling graphs are geometrically invariant and cutoff-independent so that the infra-red (IR) limit can be formally taken. These graphs have invariantly existing PT phase transition regions. In this way, a simple heuristic picture and complementary explanation for the unboundedness of the C-operator and the lack of quasi-Hermiticity of the ix³ Hamiltonian over the real line is provided.

The first results on in-situ investigations of pore formation in ultra low-k dielectrics during a curing process, i.e., a porogen removal by vacuum annealing will be presented. The main focus is to obtain insight into initial stages of pore networks formation up to their full development. The in-situ annealing and Doppler broadening positron annihilation spectroscopy measurements have been conducted on our Apparatus for In-situ Defect Analysis (AIDA) - the end-station of a slow positrons beamline at HZDR. In addition, positron lifetime spectroscopy has been utilized, where mono-energetic pulsed positron beam (MePS) serves as a probe to evaluate pore sizes, their concentration and distribution as a function of curing temperature and time. The MePS facility has partly been funded by the Federal Ministry of Education and Research (BMBF) with the grant PosiAnalyse (05K2013). The AIDA system was funded by the Impulse- und Networking fund of the Helmholtz-Association (FKZ VH-VI-442 Memriox) and through the Helmholtz Energy Materials Characterization Platform (03ET7015)

Two thin film systems exhibiting vacancy mediated magnetic phase transitions will be discussed in detail, i.e., Co3O4 and Fe60Al40.
In applications, substituting electric currents, which are nowadays used to operate spintronic devices, with electric fields, would result in a reduction of both the energy consumption and cost [1]. Co3O4 is a candidate for a tunable, non-volatile energy-efficient functional material whose magnetic properties can be controlled by electric voltage. In our current investigations the as-grown Co3O4 films consist of a paramagnetic (PM) phase only, which is transformed to a ferromagnetic (FM) state by electrolyte-gated and defect-mediated O and Co transport. A negative voltage reduces Co3O4 to Co (FM: ON), resulting in a phase separated material with Co- and O-rich regions. Applying a positive bias, the process is reversed oxidizing Co back to Co3O4 (PM: OFF). We will show that atoms migration is driven by rather complex vacancy states and a clear increase of the grain boundaries volume after negative biasing assists to O transport. Moreover, concomitantly with the PM phase transition due to the positive biasing the structural defects picture reverses to a large extent as well, which manifests as reduction in volume of both vacancy clusters and grain boundaries.
B2-Fe60Al40 phase is paramagnetic, and strong ferromagnetism can be induced via disordering to the A2-Fe60Al40 phase [2]. Disordering implies the formation of anti-site defects [3], which correlates with an increased Fe coordination. The concentration and size of open volume defects can play an important role in reordering kinetics. Three different initial order states have been investigated: (i) as-grown, partially disordered Fe60Al40, (ii) the as-grown films after Ne+ irradiation, and (iii) Ne-irradiated B2-Fe60Al40. Since, reordering directly affects magnetization saturation; the extent of the diffusion process can be traced via magnetometry at slightly elevated temperature of 400 K. We show that immobile large vacancy clusters with a high thermal activation barrier are dominant in the as-grown film and hinder ordering. Ion irradiation breaks down these pinning sites, thereby strongly accelerating thermal diffusion and reordering. These results provide insights into thermal reordering processes in binary alloys, and the consequent effect on magnetic properties. Doppler broadening and positron annihilation lifetime spectroscopy have been used as a probe for both electric field driven ionic transport of Co and O via different type of defects in Co3O4 systems as well as vacancy-mediated ordering in Fe60Al40.
[1] Y. Shiota, et al. Nature Mater. 11, 39 (2012). [2] M.O. Liedke, et al., J. Appl. Phys. 117, 163908 (2015).
[3] R. Bali, et al., Nano Lett. 14, 435 (2014).

Fe60Al40 exhibit the so-called disorder induced ferromagnetism, where anti-site disorder (ASD) promotes ferromagnetic A2-phase (disordered) over paramagnetic B2-phase (ordered). Both phases can be - in a controllable fashion - driven by ion irradiation or annealing, respectively. The main physical origin correlates strongly with ASD [R. Bali, et al., Nano Lett. 14, 435 (2014)]. Nevertheless, the concentration and size of open volume defects can be of crucial importance in determining the kinetics of the reordering processes. To unravel the influence of vacancy clusters, three different initial order states have been investigated: (i) as-sputtered, (ii) as-grown irradiated with Ne+ and (iii) B2 ordered films, obtained via 773 K annealing and Ne-irradiated. Open volume defects in the treated samples were investigated with Doppler broadening and positron annihilation lifetime spectroscopy. Furthermore, since the reordering directly affects Ms, the extent of the diffusion process can be traced via magnetometry at slightly elevated temperature of 400 K. We show that immobile large vacancy clusters are dominant in the as-grown films; these complexes present only in the as-sputtered film possess a high thermal activation barrier and hinder ordering. Ion irradiation breaks down these pinning defects strongly accelerating thermal diffusion and reordering. These results provide insights into thermal reordering processes in binary alloys, and the consequent effect on magnetic behavior.

The measurement of neutron induced reactions on unstable isotopes is of interest in many fields, from nuclear energy to astrophysics or applications; in particular transuranic isotopes are essential for the development of innovative nuclear reactors and for the management of the radioactive waste. In such measurements, the quality of the associated radioactive target is crucial for the success of the experiment, but in many cases the geometry, amount of mass and encapsulation of the target are not optimal, leading to limited results. In this work we propose to produce high quality radioactive targets for capture as a stack of thin targets using the techniques usually employed for fission measurements. In particular, we have succeeded in making a 242Pu target of nearly 100 mg by combining seven thin (~1 mg/cm2) fission-like targets with 45 mm in diameter achieving a total backing thickness of only 70 m of aluminum. The target has been shown to perform successfully in experiments at both a neutron time-of-flight facility (n_TOF at CERN) and a thermal neutron beam (BRR at KFKI), providing the most accurate data from thermal up to 250 keV to date.