@article{66546, abstract = {{To further improve the capabilities necessary to accurately predict biochar properties based on feedstock characteristics, a study correlating feedstock structural components with biochar properties was conducted. To produce biochar, ten different biomass feedstocks were sourced mostly from Austria. The feedstocks gathered were spruce chips; woodchips from broad-leaved forestry; wheat bran; Japanese knotweed; walnut shells; screening overflow from composting; and residues from Mary thistle, rapeseed, hemp, and poppy flower processing. These feedstocks were pyrolyzed at 500 and 700 °C under nitrogen (N2) atmosphere in a customized muffle furnace. The feedstocks were analyzed for their lignin, hemicellulose, cellulose, fat content, and other properties. Mercury intrusion porosimetry (MIP) was performed on the biochar samples, with the highest documented intruded volume being 3.64 cm3/g. Elemental recoveries in the biochar samples were determined and correlated with feedstock structural components (FSC). Additionally, the water solubility of biochar nutrient elements was determined, with K showing the highest solubility of 35.5 ± 18.5% at 700 °C. Elemental recoveries of C/H/N/Cl showed significant correlations with FSC (e.g., Cl showed a significant and strong negative correlation with cellulose, r = − 0.874/p < 0.01). Intruded volume as well as K solubility also showed significant correlations. These results indicate that feedstock structural components can serve as predictors for more biochar properties than currently used in the literature, although the limited sample size requires further research to confirm the findings presented here.}}, author = {{Moser, Konstantin and Pfeifer, Christoph and Wopienka, Elisabeth and Voglar, Jure and Prašnikar, Anže and Likozar, Blaž and Weinberger, Christian and Tiemann, Michael and Çubuk, Dilara and Haslinger, Walter}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Exploring feedstock structural components as predictors for physico-chemical biochar properties}}}, doi = {{10.1038/s41598-026-61427-4}}, year = {{2026}}, } @article{66689, abstract = {{Abstract Deceptive actions such as head fakes are a hallmark of interactive sports, yet it is not well understood how decisions and whole-body responses to head fakes unfold over time. In the present study, participants viewed video sequences of a basketball player passing to the left or right, either with or without a head fake. In the buzzer task, participants moved laterally to press a response button as if to intercept the pass. In the vocal task, they verbally indicated pass direction. Reaction times (RTs), movement times (MTs), and medio-lateral center-of-pressure (CoP) displacements were recorded to investigate whether motor output is rapid and stimulus-driven or rather requires continuous integration of fake and pass cues. Further, we investigated whether the mere observation of a basketball player leads to overt micromovements even if no response movement is intended. The data analysis shows that head fakes increased RTs in both the buzzer and vocal tasks. In the buzzer task, head fakes induced an initial, small erroneous CoP shift, which was then rapidly corrected. When CoP trajectories were aligned by head orientation, fake and non-fake trajectories diverged shortly after movement onset. In the present dynamic sport-related context, this pattern is more compatible with the early integration of head and pass information than with a strictly sequential prime-target account, although the paradigm differs from classic Rapid Chase Theory designs with discrete primes and target events. In the vocal task, participants were not instructed to move, yet CoP traces showed tiny but systematically lateralized micromovements with a temporal structure resembling that in the buzzer task, albeit without an initial erroneous shift for head fakes. These postural fluctuations are consistent with action-observation-related motor activation, although they do not uniquely identify motor resonance and may also reflect attentional or generalized embodied response tendencies. A clear deceptive response conflict at the postural level emerged only when a lateralized action was prepared.}}, author = {{Güldenpenning, Iris and Schulze Frielinghaus, Lars and Böer, Nils Tobias and Schmidt, Thomas and Weigelt, Matthias}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Early postural dynamics reveal the rapid processing of fake social cues for deceptive actions in sports}}}, doi = {{10.1038/s41598-026-61922-8}}, volume = {{16}}, year = {{2026}}, } @article{58493, author = {{Zietlow, Christian and Lindner, Jörg K. N.}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{An applied noise model for scintillation-based CCD detectors in transmission electron microscopy}}}, doi = {{10.1038/s41598-025-85982-4}}, volume = {{15}}, year = {{2025}}, } @article{59178, author = {{Zietlow, Christian and Lindner, Jörg}}, issn = {{2045-2322}}, journal = {{Sci Rep}}, number = {{1}}, pages = {{3815}}, title = {{{An applied noise model for scintillation-based CCD detectors in transmission electron microscopy.}}}, doi = {{10.1038/s41598-025-85982-4}}, volume = {{15}}, year = {{2025}}, } @article{64086, abstract = {{Abstract This study aimed to develop and evaluate deep learning approaches for the classification of quantum emission signals from WS 2 monolayer nanobubbles across multiple spectral bands, addressing challenges in quantum materials characterization and spectral distinguishability assessment. We utilized a dataset of quantum emission signals ranging from 604 to 629 nm, emitted from WS₂ monolayer nanobubbles on gold substrates, categorized into four spectral bands (604.06–608.24 nm, 611.07–616.34 nm, 617.42–623.35 nm, and 624.16–636.57 nm). Our methodology involved signal preprocessing through normalization and moving average smoothing, followed by transformation into 128 × 128 RGB images using Continuous Wavelet Transform (CWT) with Complex Morlet wavelet. Three convolutional neural network architectures (ResNet50, VGG16, and Xception) were implemented and evaluated using fivefold cross-validation across six possible band pair combinations. All models demonstrated exceptional classification performance, with VGG16 achieving the highest overall mean accuracy of 99.4%, followed by Xception (99.1%) and ResNet50 (98.2%). Perfect classification accuracy (100%) was consistently achieved for spectrally distant band pairs, particularly Band 1 versus Band 4 (20.5 nm separation), while the most challenging classification involved adjacent bands (Band 2 vs. Band 3, 6.27 nm separation) with VGG16 achieving 96.5% accuracy. Statistical analysis using Friedman tests confirmed significant performance differences among models (χ 2  = 8.67, p  = 0.013). Xception demonstrated remarkable computational efficiency, achieving optimal convergence in as few as 2 epochs for certain band combinations while maintaining ultralow training loss values (8.23 × 10⁻ 6 ). Deep learning models, particularly when combined with CWT preprocessing, provide a robust framework for quantum emission signal classification with significant implications for quantum photonics, quantum cryptography, and quantum sensing applications. Our approach bridges the gap between classical machine learning and quantum materials characterization, establishing quantifiable metrics for evaluating spectral distinguishability in quantum information systems. The demonstrated ability to achieve high classification accuracy with minimal training through transfer learning addresses data scarcity challenges inherent to quantum systems, offering a promising direction for future quantum technology development. }}, author = {{Najafzadeh, Hossein and Raissi, Zahra and Golmohammady, Shole and Kaji, Parivash Safari and Esmaeili, Mahdad}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Deep learning for classifying quantum emission signals in WS2 monolayers using wavelet transform}}}, doi = {{10.1038/s41598-025-29120-0}}, volume = {{15}}, year = {{2025}}, } @article{64034, abstract = {{This study presents an appealing approach to sustainable catalysis using cellulose filter paper as a support for copper-catalyzed reactions. The paper was functionalized with thiol groups through a reaction with thioglycolic acid, which served a dual purpose: partially reducing Cu(II) to Cu(I) and stabilizing active copper species via Cu–S interactions. Spectroscopic analysis confirmed the formation of highly dispersed multi-valent Cu2O/CuO on the thiol-functionalized cellulose, resulting in a highly efficient copper catalyst. This catalyst demonstrated excellent performance in the oxidative coupling of various amines to imines, achieving yields of 39–99% within 10–30 min. A key advantage of this system is its reusability; the catalyst maintained remarkable stability and activity over ten reaction cycles with straightforward recovery. This paper-based catalyst offers a promising strategy for eco-friendly and cost-effective synthetic processes, with significant implications for green chemistry and industrial applications.}}, author = {{Sangkaworn, Jariyaporn and Limprasart, Waranya and Höfler, Mark Valentin and Gutmann, Torsten and Pornsuwan, Soraya and Bunchuay, Thanthapatra and Tantirungrotechai, Jonggol}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, number = {{1}}, pages = {{9893}}, title = {{{Copper-supported thiol-functionalized cellulose as a paper-based catalyst for imine synthesis}}}, doi = {{10.1038/s41598-025-95144-1}}, volume = {{15}}, year = {{2025}}, } @article{61246, abstract = {{Abstract The time-dependent one-dimensional nonlinear Schrödinger equation (NLSE) is solved numerically by a hybrid pseudospectral-variational quantum algorithm that connects a pseudospectral step for the Hamiltonian term with a variational step for the nonlinear term. The Hamiltonian term is treated as an integrating factor by forward and backward Fourier transforms, which are here carried out classically. This split allows us to avoid higher-order time integration schemes, to apply a first-order explicit time stepping for the remaining nonlinear NLSE term in a variational algorithm block, and thus to avoid numerical instabilities. We demonstrate that the analytical solution is reproduced with a small root mean square error for a long time interval over which a nonlinear soliton propagates significantly forward in space while keeping its shape. We analyze the accuracy and complexity of the quantum algorithm, the expressibility of the ansatz circuit and compare it with classical approaches. Furthermore, we investigate the influence of algorithm parameters on the accuracy of the results, including the temporal step width and the depth of the quantum circuit.}}, author = {{Köcher, Nikolas and Rose, Hendrik and Bharadwaj, Sachin S. and Schumacher, Jörg and Schumacher, Stefan}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Numerical solution of nonlinear Schrödinger equation by a hybrid pseudospectral-variational quantum algorithm}}}, doi = {{10.1038/s41598-025-05660-3}}, volume = {{15}}, year = {{2025}}, } @article{62057, abstract = {{Abstract Time-resolved momentum microscopy is an emerging technique based on photoelectron spectroscopy for characterizing ultrafast electron dynamics and the out-of-equilibrium electronic structure of materials in the entire Brillouin zone with high efficiency. In this article, we introduce a setup for time-resolved momentum microscopy based on an energy-filtered momentum microscope coupled to a custom-made high-harmonic generation photon source driven by a multi-100 kHz commercial Yb-ultrafast laser that delivers fs pulses in the extreme ultraviolet range. The laser setup includes a nonlinear pulse compression stage employing spectral broadening in a Herriott-type bulk-based multi-pass cell. This element allows flexible tuning of the driving pulse duration, providing a versatile time-resolved momentum microscopy setup featuring two operational modes designed to enhance either the energy or time resolution. We show the capabilities of the system by tracing ultrafast electron dynamics in the conduction band valleys of a bulk crystal of the 2D semiconductor WS2. Using uncompressed driving laser pulses, we demonstrate an energy resolution better than (107 ± 2) meV, while compressed pulses lead to a time resolution better than (48.8 ± 17) fs.}}, author = {{Schiller, Karl Jakob and Sternemann, Lasse and Stupar, Matija and Omar, Alan and Hoffmann, Martin and Nitschke, Jonah Elias and Mischke, Valentin and Janas, David Maximilian and Ponzoni, Stefano and Zamborlini, Giovanni and Saraceno, Clara Jody and Cinchetti, Mirko}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Time-resolved momentum microscopy with fs-XUV photons at high repetition rates with flexible energy and time resolution}}}, doi = {{10.1038/s41598-025-86660-1}}, volume = {{15}}, year = {{2025}}, } @article{58238, abstract = {{Abstract Anterior cruciate ligament injuries (ACLi) impact football players substantially leading to performance declines and premature career endings. Emerging evidence suggests that ACLi should be viewed not merely as peripheral injuries but as complex conditions with neurophysiological aspects. The objective of the present study was to compare kicking performance and associated cortical activity between injured and healthy players. Ten reconstructed and 15 healthy players performed a kicking task. Kicking biomechanics were recorded using wearable inertial measurement unit sensors. Cortical activity was captured with a 64-electrode mobile electroencephalography. Multiscale entropy (MSE) analysis of biomechanics revealed increased variability in foot external rotation among injured players. Source-derived event-related spectral perturbations indicated significant differences in posterior alpha and frontal theta oscillations between the two groups. Furthermore, kick-related complexity of these regions as indexed by MSE was reduced in injured players at medium and coarse scales. Our findings suggest sensorimotor changes during kicking in injured players, which may necessitate compensatory strategies involving augmented attention at the cost of processing visuospatial information. This conflict may hinder the integration of task-relevant information across distributed networks. Our study provides preliminary insights into the neurophysiological implications of ACLi within football context and underscores the potential for prospective research.}}, author = {{Piskin, Daghan Yüksel and Cobani, Gjergji and Lehmann, Tim and Büchel, Daniel and Baumeister, Jochen}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Cortical changes associated with an anterior cruciate ligament injury may retrograde skilled kicking in football: preliminary EEG findings}}}, doi = {{10.1038/s41598-025-86196-4}}, volume = {{15}}, year = {{2025}}, } @article{60873, abstract = {{Abstract Variations in circadian rhythm-related genes influence the individual chronotype. Here, we hypothesize that the peak of clock gene expression at 7 a.m. differs between young adults with a late chronotype and young adults with an early chronotype. Participants of the Chronotype and Nutrition nutritional trial (ChroNu study) were selected for their chronotype assessed by the Munich Chronotype questionnaire (MCTQ) and actigraphy. Total RNA was isolated from CD14+ monocytes of participants at 7 a.m. on the run-in day. Expression levels of seven clock genes (PER1, PER2, PER3, NR1D1, NR1D2, CRY1 and CRISPLD2) of individuals with early (n = 11) or late chronotypes (n = 19) were analysed by reverse transcription quantitative polymerase chain reaction. Difference in expression levels was tested by Mann Whitney-U test. The relative expression levels of the selected genes were not significantly different between individuals with early and late chronotypes (all p > 0.07). Contrary to expectation, clock gene expression levels at 7 a.m. was similar in individuals with early and late chronotypes. Further studies on larger sample sizes with multiple sampling time points should elucidate whether gene expression is altered at other day times underscoring the biological difference between individuals with early or late chronotypes.}}, author = {{Krueger, Bettina and Rajcsanyi, Luisa Sophie and Hundertmark, Katharina and Stutz, Bianca and Hinney, Anke and Buyken, Anette E.}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Morning clock gene expression in young adults of early and late chronotypes}}}, doi = {{10.1038/s41598-025-12423-7}}, volume = {{15}}, year = {{2025}}, } @article{59347, abstract = {{AbstractVaccination is a highly effective method to prevent the spread of COVID-19 and mitigate severe disease. In Germany, adult vaccination rates are relatively high at 85.5%, but rates are significantly lower for adolescents (69.6%) and children (20.0%). This discrepancy indicates that not all vaccinated parents choose to vaccinate their children. Analyzing data from a January 2022 online survey of 1,819 parents with children and adolescents, we explore the socio-economic factors influencing parents’ willingness to vaccinate themselves and their children. Our results show that individuals who vote for either side of the political extremes are less likely to vaccinate their children. This pattern is particularly strong for voters on the far right. In addition, we find that better educated parents are more likely to vaccinate both themselves and their children. Parents who vaccinate both themselves and their children demonstrate greater confidence in the vaccine’s effectiveness, while those who vaccinate only themselves are often motivated by a desire to regain personal freedoms. These insights highlight the need for targeted public health strategies to address specific concerns and improve vaccination rates among children and adolescents.}}, author = {{Hörnig, Lukas and Schaffner, Sandra and Schmitz, Hendrik}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{The individual and ecological characteristics of parental COVID-19 vaccination decisions}}}, doi = {{10.1038/s41598-024-74963-8}}, volume = {{14}}, year = {{2024}}, } @article{60999, abstract = {{AbstractSport-related concussion (SRC) is a complex brain injury. By applying graph-theoretical analysis to networks derived from neuroimaging techniques, studies have shown that despite an overall retention of small-world topology, changes in small-world properties occur after brain injury. Less is known about how exercise during athletes’ return to sport (RTS) influences these brain network properties. Therefore, in the present study dense electroencephalography (EEG) datasets were collected pre- and post-moderate aerobic exercise. Small-world properties of whole brain (WB) and the default mode network (DMN) were extracted from the EEG datasets of 21 concussed athletes and 21 healthy matched controls. More specifically, path length (LP), clustering coefficient (CP), and small-world index (SWI) in binary and weighted graphs were calculated in the alpha frequency band (7–13 Hz). Pre-exercise, SRC athletes had higher DMN-CP values compared to controls, while post-exercise SRC athletes had higher WB-LP compared to controls. Weighted WB analysis revealed a significant association between SRC and the absence of small-world topology (SWI ≤ 1) post-exercise. This explorative study provides preliminary evidence that moderate aerobic exercise during athletes’ RTS induces an altered network response. Furthermore, this altered response may be related to the clinical characteristics of the SRC athlete.}}, author = {{Coenen, Jessica and Strohm, Michael and Reinsberger, Claus}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Impact of moderate aerobic exercise on small-world topology and characteristics of brain networks after sport-related concussion: an exploratory study}}}, doi = {{10.1038/s41598-024-74474-6}}, volume = {{14}}, year = {{2024}}, } @article{46971, abstract = {{AbstractLow socio-economic status is associated with higher SARS-CoV-2 incidences. In this paper we study whether this is a result of differences in (1) the frequency, (2) intensity, and/or (3) duration of local SARS-CoV-2 outbreaks depending on the local housing situations. So far, there is not clear evidence which of the three factors dominates. Using small-scale data from neighborhoods in the German city Essen and a flexible estimation approach which does not require prior knowledge about specific transmission characteristics of SARS-CoV-2, behavioral responses or other potential model parameters, we find evidence for the last of the three hypotheses. Outbreaks do not happen more often in less well-off areas or are more severe (in terms of the number of cases), but they last longer. This indicates that the socio-economic gradient in infection levels is at least in parts a result of a more sustained spread of infections in neighborhoods with worse housing conditions after local outbreaks and suggests that in case of an epidemic allocating scarce resources in containment measures to areas with poor housing conditions might have the greatest benefit.}}, author = {{Freise, Diana and Schiele, Valentin and Schmitz, Hendrik}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, keywords = {{Multidisciplinary}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Housing situations and local COVID-19 infection dynamics using small-area data}}}, doi = {{10.1038/s41598-023-40734-0}}, volume = {{13}}, year = {{2023}}, } @article{26719, abstract = {{AbstractThe interaction of acute exercise and the central nervous system evokes increasing interest in interdisciplinary research fields of neuroscience. Novel approaches allow to monitor large-scale brain networks from mobile electroencephalography (EEG) applying graph theory, but it is yet uncertain whether brain graphs extracted after exercise are reliable. We therefore aimed to investigate brain graph reliability extracted from resting state EEG data before and after submaximal exercise twice within one week in male participants. To obtain graph measures, we extracted global small-world-index (SWI), clustering coefficient (CC) and characteristic path length (PL) based on weighted phase leg index (wPLI) and spectral coherence (Coh) calculation. For reliability analysis, Intraclass-Correlation-Coefficient (ICC) and Coefficient of Variation (CoV) were computed for graph measures before (REST) and after POST) exercise. Overall results revealed poor to excellent measures at PRE and good to excellent ICCs at POST in the theta, alpha-1 and alpha-2, beta-1 and beta-2 frequency band. Based on bootstrap-analysis, a positive effect of exercise on reliability of wPLI based measures was observed, while exercise induced a negative effect on reliability of Coh-based graph measures. Findings indicate that brain graphs are a reliable tool to analyze brain networks in exercise contexts, which might be related to the neuroregulating effect of exercise inducing functional connections within the connectome. Relative and absolute reliability demonstrated good to excellent reliability after exercise. Chosen graph measures may not only allow analysis of acute, but also longitudinal studies in exercise-scientific contexts. }}, author = {{Büchel, Daniel and Lehmann, Tim and Sandbakk, Øyvind and Baumeister, Jochen}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, title = {{{EEG-derived brain graphs are reliable measures for exploring exercise-induced changes in brain networks}}}, doi = {{10.1038/s41598-021-00371-x}}, year = {{2021}}, } @article{26632, abstract = {{AbstractAnorexia nervosa (AN) is a severe eating disorder and often associated with altered humoral immune responses. However, distinct B cell maturation stages in peripheral blood in adolescents with AN have not been characterized. Treatment effects and the relationship between clinical and B cell parameters are also not fully understood. Here we investigated the phenotype of circulating B cell subsets and the relationship with body composition in adolescents with AN before (T0, n = 24) and after 6 weeks (T1, n = 20) of treatment. Using multi-parameter flow cytometry, we found increased percentages of antigen-experienced B cells and plasmablasts in patients with AN compared to healthy controls (n = 20). In contrast, percentages of CD1d+CD5+ B cells and transitional B cells with immunoregulatory roles were reduced at T0 and T1. These B cell frequencies correlated positively with fat mass, fat mass index (FMI), free fat mass index, and body mass index standard deviation score. In addition, scavenger-like receptor CD5 expression levels were downregulated on transitional B cells and correlated with fat mass and FMI in AN. Our findings that regulatory B cell subgroups were reduced in AN and their strong relationship with body composition parameters point toward an impact of immunoregulatory B cells in the pathogenesis of AN.}}, author = {{Freff, Jana and Schwarte, Kathrin and Bröker, Lisa and Bühlmeier, Judith and Kraft, Isabelle and Öztürk, Dana and Hinney, Anke and Arolt, Volker and Dannlowski, Udo and Romer, Georg and Baune, Bernhard T. and Hebebrand, Johannes and Föcker, Manuel and Alferink, Judith}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, title = {{{Alterations in B cell subsets correlate with body composition parameters in female adolescents with anorexia nervosa}}}, doi = {{10.1038/s41598-020-80693-4}}, year = {{2021}}, } @article{33645, abstract = {{AbstractVibrational sum-frequency generation (vSFG) spectroscopy allows the study of the structure and dynamics of interfacial systems. In the present work, we provide a simple recipe, based on a narrowband IR pump and broadband vSFG probe technique, to computationally obtain the two-dimensional vSFG spectrum of water molecules at the air–water interface. Using this technique, to study the time-dependent spectral evolution of hydrogen-bonded and free water molecules, we demonstrate that at the interface, the vibrational spectral dynamics of the free OH bond is faster than that of the bonded OH mode.}}, author = {{Ojha, Deepak and Kühne, Thomas}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, keywords = {{Multidisciplinary}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Hydrogen bond dynamics of interfacial water molecules revealed from two-dimensional vibrational sum-frequency generation spectroscopy}}}, doi = {{10.1038/s41598-021-81635-4}}, volume = {{11}}, year = {{2021}}, } @article{25227, abstract = {{AbstractQuantum well (QW) heterostructures have been extensively used for the realization of a wide range of optical and electronic devices. Exploiting their potential for further improvement and development requires a fundamental understanding of their electronic structure. So far, the most commonly used experimental techniques for this purpose have been all-optical spectroscopy methods that, however, are generally averaging in momentum space. Additional information can be gained by angle-resolved photoelectron spectroscopy (ARPES), which measures the electronic structure with momentum resolution. Here we report on the use of extremely low-energy ARPES (photon energy ~ 7 eV) to increase depth sensitivity and access buried QW states, located at 3 nm and 6 nm below the surface of cubic-GaN/AlN and GaAs/AlGaAs heterostructures, respectively. We find that the QW states in cubic-GaN/AlN can indeed be observed, but not their energy dispersion, because of the high surface roughness. The GaAs/AlGaAs QW states, on the other hand, are buried too deep to be detected by extremely low-energy ARPES. Since the sample surface is much flatter, the ARPES spectra of the GaAs/AlGaAs show distinct features in momentum space, which can be reconducted to the band structure of the topmost surface layer of the QW structure. Our results provide important information about the samples’ properties required to perform extremely low-energy ARPES experiments on electronic states buried in semiconductor heterostructures.}}, author = {{Hajlaoui, Mahdi and Ponzoni, Stefano and Deppe, Michael and Henksmeier, Tobias and As, Donat Josef and Reuter, Dirk and Zentgraf, Thomas and Springholz, Gunther and Schneider, Claus Michael and Cramm, Stefan and Cinchetti, Mirko}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, title = {{{Extremely low-energy ARPES of quantum well states in cubic-GaN/AlN and GaAs/AlGaAs heterostructures}}}, doi = {{10.1038/s41598-021-98569-6}}, volume = {{11}}, year = {{2021}}, } @article{35626, author = {{Büchel, Daniel and Lehmann, Tim and Sandbakk, Øyvind and Baumeister, Jochen}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, keywords = {{Multidisciplinary}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{EEG‑derived brain graphs are reliable measures for exploring exercise‑induced changes in brain networks}}}, doi = {{10.1038/s41598-021-01494-x}}, volume = {{11}}, year = {{2021}}, } @article{39653, abstract = {{AbstractA detailed investigation of the energy levels of perylene-3,4,9,10-tetracarboxylic tetraethylester as a representative compound for the whole family of perylene esters was performed. It was revealed via electrochemical measurements that one oxidation and two reductions take place. The bandgaps determined via the electrochemical approach are in good agreement with the optical bandgap obtained from the absorption spectra via a Tauc plot. In addition, absorption spectra in dependence of the electrochemical potential were the basis for extensive quantum-chemical calculations of the neutral, monoanionic, and dianionic molecules. For this purpose, calculations based on density functional theory were compared with post-Hartree–Fock methods and the CAM-B3LYP functional proved to be the most reliable choice for the calculation of absorption spectra. Furthermore, spectral features found experimentally could be reproduced with vibronic calculations and allowed to understand their origins. In particular, the two lowest energy absorption bands of the anion are not caused by absorption of two distinct electronic states, which might have been expected from vertical excitation calculations, but both states exhibit a strong vibronic progression resulting in contributions to both bands.}}, author = {{Wiebeler, Christian and Vollbrecht, Joachim and Neuba, Adam and Kitzerow, Heinz-Siegfried and Schumacher, Stefan}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, keywords = {{Multidisciplinary}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Unraveling the electrochemical and spectroscopic properties of neutral and negatively charged perylene tetraethylesters}}}, doi = {{10.1038/s41598-021-95551-0}}, volume = {{11}}, year = {{2021}}, } @article{31711, author = {{Vieluf, S and Reinsberger, Claus and El Atrache, R and Jackson, M and Schubach, S and Ufongene, C and Loddenkemper, T and Meisel, C}}, issn = {{2045-2322}}, journal = {{Sci Rep}}, number = {{1}}, pages = {{11560}}, title = {{{Autonomic nervous system changes detected with peripheral sensors in the setting of epileptic seizures.}}}, volume = {{10}}, year = {{2020}}, }