@techreport{66449,
abstract = {{This paper evaluates the forecasting performance of an expanded class of (semi-)parametric
GARCH models belonging to the EGARCH family (EGF), including recently introduced long
and short memory specifications and their semiparametric extensions. The semiparametric
variants employ a multiplicative volatility decomposition into conditional and slowly varying
unconditional components, where the latter is estimated via a data-driven local polynomial
smoother to accommodate non-stationarities commonly observed in financial time series. Based
on the revised Basel Committee framework for market-risk assessment, all models are capable
of producing rolling one-day-ahead forecasts for Value at Risk (VaR) and Expected Shortfall
(ES) under a wide range of symmetric and skewed innovation distributions. Their forecasting
accuracy is examined using the regulatory traffic light tests for VaR and the recently developed
ES-specific traffic light procedure, complemented by the regulatory loss function. In addition,
model selection incorporates both a recently proposed corrected firm-oriented loss function that
accounts for opportunity costs and the Weighted Absolute Deviation (WAD) criterion. The
empirical comparison demonstrates that (semiparametric) long memory GARCH models -
particularly those combining fractional dynamics with nonparametric scale adjustments - can
serve as valuable alternatives to traditional parametric short memory models, offering more
stable volatility estimates and improved tail-risk forecasts for practical risk management
applications.}},
author = {{Hanke, Dominik Christian and Uhde, André and Feng, Yuanhua}},
keywords = {{semiparametric GARCH extension, data-driven local polynomial smoother, long memory, GARCH models, Value at Risk, Expected Shortfall, traffic light test, backtesting, Basel III, market risk}},
title = {{{Application of Novel Exponential (Semi-)Parametric Short and Long Memory GARCH Models under Regulatory Requirements of Basel III}}},
year = {{2026}},
}
@techreport{66447,
abstract = {{Volatility modeling is utilized across numerous fields including finance, environmental studies, and
social sciences. It is particularly relevant in scenarios where understanding and predicting conditional
variability is crucial, such as when dealing with incremental or time-dependent data. In this paper, novel
short and long memory volatility models of the EGARCH family are introduced and analyzed, which
are closely related to the well-established EGARCH model proposed by Nelson (1991) but share
desirable theoretical properties in several dimensions. Recently developed members of the so-called
EGARCH family, which introduces a modulus-log transformation proposed by John and Draper (1980)
and a power transformation for the size and magnitude effect to tackle the problem with near-zero
innovations and the asymmetric impact of positive and negative shocks on the volatility, are discussed.
After a theoretical discussion of the proposed and related volatility models, the practical performance
of the elaborated volatility models is compared to well-established and traditional GARCH approaches.
A general QMLE algorithm is proposed to estimate the model parameters. The practical relevance of the
advanced models is illustrated through a comparative study. By applying these volatility models to a
variety of international stock index returns, this paper identifies market-specific characteristics as well
as unique strengths and weaknesses of discussed volatility models. Although the practical performance
of the recently introduced models is comparable to those obtained by the traditional EGARCH model,
they generally outperform traditional non-exponential volatility models used as benchmarks and thus
provide a useful alternative to existing short and long memory volatility models. }},
author = {{Hanke, Dominik Christian and Feng, Yuanhua and Uhde, André}},
keywords = {{Modulus Log-GARCH, Modified (FI)EGARCH, Modulus asymmetric (FI)Log-GARCH, (FI)EGARCH, long memory, modulus-log transformation, QMLE, model selection, implementation in R}},
title = {{{Comparing the behaviors of some original short and long memory exponential volatility models}}},
year = {{2026}},
}
@phdthesis{65522,
abstract = {{Wie verläuft der Leseprozess im Geschichtsunterricht für Schüler:innen, die neu in das deutsche Bildungssystem einsteigen – und welche Faktoren beeinflussen ihr Verstehen? Diese Studie untersucht an der Schnittstelle von Deutsch als Zweitsprache und Geschichtsdidaktik die Bedingungen des Lesens im Geschichtsunterricht. Im Fokus stehen die Erfahrungen von Seiteneinsteiger:innen sowie die Perspektiven der Lehrkräfte, die im Rahmen einer qualitativ‑explorativen Untersuchung mithilfe von Unterrichtshospitationen, Interviews und Materialanalysen erhoben wurden. Methodisch ist die Arbeit in der Grounded Theory Methodology nach Strauss und Corbin (1996) verankert, anhand derer die komplexen Einflussfaktoren historischer Leseprozesse systematisch herausgearbeitet werden.
Die Ergebnisse zeigen drei zentrale Einflussdimensionen: sprachliche, sozial‑affektive und geschichtsspezifische Faktoren. Zudem wird deutlich, dass Unterstützungsmaßnahmen stets zwischen kurzfristiger Hilfe und dem langfristigen Aufbau von Disciplinary Literacy ausbalanciert werden müssen. Ihre Wirksamkeit hängt wesentlich von der bewussten Auswahl und Zugänglichkeit durch die Lehrkraft sowie von den Möglichkeiten der Lernenden ab, Unterstützung gezielt einzufordern. Lernwirksam wird Geschichtsunterricht besonders dann, wenn hohe fachliche Anforderungen mit reflektierter sprachlicher Unterstützung verbunden werden. Die Studie leistet damit einen Beitrag zur Forschung zu sprachbewusstem Fachunterricht und bietet Impulse für eine kritisch‑reflexive Sprachsensibilität in schulischen Bildungsprozessen.}},
author = {{Müller, Jennifer}},
keywords = {{Scaffolding, Sprache und Fach, Grounded Theory Methodology, Lesen in der Sekundarstufe I, Sprachsensibler Geschichtsunterricht, Durchgängige Sprachbildung}},
publisher = {{Springer Spektrum}},
title = {{{Unterstützung von Verstehen im Fachunterricht. Eine Grounded Theory zum sprach- und fachverbindenden Geschichtsunterricht}}},
doi = {{10.1007/978-3-658-51420-4}},
year = {{2026}},
}
@inproceedings{66514,
abstract = {{Manufacturing companies increasingly integrate the strive towards sustainability into product engineering to reduce resource consumption and environmental impacts. A substantial share of a product’s environmental performance is determined during engineering. Early assessments rely on generic data, which is gradually replaced by more concrete simulation and primary data as product maturity increases. The effective use of engineering simulation models for Life Cycle Assessment (LCA) therefore remains a central challenge under heterogeneous, distributed and rapidly evolving data. This article presents a systematic review of product engineering approaches for integrating simulation models into LCA. A seven-step research approach is applied to identify, categorize and evaluate existing approaches across CAx tools. Relevant simulation parameters for sustainability assessment, including material properties, process descriptors, consumables and waste streams, are identified and analyzed. Based on identified data characteristics, the potential of Data Science and Artificial Intelligence methods for LCA data preparation is assessed. A conceptual knowledge-graph-based decision support approach is derived to enable structured integration, traceability and reuse of simulation data for sustainability assessment. The approach is evaluated using criteria from literature. Structured integration of simulation data improves early-stage data quality and supports decision-making in sustainable product engineering.}},
author = {{Gräßler, Iris and Aydin, Simon and Rarbach, Sven}},
booktitle = {{International Symposium on Hybrid Intelligence in Product and Production Engineering}},
editor = {{Gräßler, Iris}},
publisher = {{LibreCat University}},
title = {{{Systematic review of engineering simulation models for life cycle assessment}}},
doi = {{10.17619/UNIPB/1-2637}},
year = {{2026}},
}
@article{66421,
abstract = {{Metallopolymers with 1D phosphorus chains are accessible from simple unstrained precursors and feature a narrow band gap associated with red-shifted absorption in the UV-vis range.}},
author = {{Dey, Subhayan and Szathmári, Balázs and Langgut, Dennis and Gutmann, Torsten and Kelemen, Zsolt and Pietschnig, Rudolf}},
issn = {{2050-7488}},
journal = {{Journal of Materials Chemistry A}},
number = {{38}},
pages = {{25321--25329}},
publisher = {{Royal Society of Chemistry (RSC)}},
title = {{{Metallopolymers via thermal dealkylation of unstrained bisphosphanylferrocene precursors}}},
doi = {{10.1039/d6ta02261h}},
volume = {{14}},
year = {{2026}},
}
@article{66518,
author = {{Kepper, Johannes}},
issn = {{2514-3298}},
journal = {{Transactions of the International Society for Music Information Retrieval}},
number = {{1}},
pages = {{278--292}},
publisher = {{Ubiquity Press, Ltd.}},
title = {{{Diplomatic Transcriptions Between Document and Text: Encoding Beethoven’s Sketchbooks}}},
doi = {{10.5334/tismir.318}},
volume = {{9}},
year = {{2026}},
}
@article{66541,
abstract = {{Expulsion in resistance spot welding (RSW) causes weld quality fluctuations and increases quality-control effort in high-volume manufacturing. Existing data-driven studies have mainly addressed post-occurrence expulsion detection, process-end classification, or the identification of influencing factors, whereas online monitoring requires short-term risk estimation before the event occurs. In this study, expulsion prediction is formulated as a sliding-window-based pre-expulsion risk estimation task for the currently welded spot. A physics-guided hybrid GRU-XGBoost ensemble is developed to combine temporal learning from dynamic resistance and electrode-force signals with process-physics-related scalar features describing heat input, resistance state, and force response. The framework was evaluated on 2730 valid welds, including 588 expulsion and 2142 non-expulsion welds, using weld-grouped five-fold cross-validation with fold-level working-point selection. The ensemble achieved an area under the ROC curve of 0.945 ± 0.004 and a weld-level recall of 90.6 ± 3.7% at an average false alarm rate of 9.8 ± 0.2%, outperforming both individual branches. For the 533 correctly warned expulsion welds, the median early-warning lead time was 56 ms. These results indicate that online, physically interpretable pre-expulsion risk prediction is feasible under low-false-alarm constraints within the investigated RSW configuration and provide a basis for future adaptive monitoring and control studies.}},
author = {{Yang, Keke and Li, Chong and Beck, Robert and Hein, David and Meschut, Gerson}},
issn = {{1526-6125}},
journal = {{Journal of Manufacturing Processes}},
keywords = {{Resistance spot welding, Expulsion prediction, Physics-guided machine learning, Hybrid ensemble modelling, Process monitoring}},
pages = {{135--153}},
publisher = {{Elsevier BV}},
title = {{{A physics-guided hybrid framework for online pre-expulsion prediction in resistance spot welding}}},
doi = {{10.1016/j.jmapro.2026.07.042}},
volume = {{174}},
year = {{2026}},
}
@article{66282,
abstract = {{Hydrothermal carbonization (HTC) of pistachio shells was performed in a high-pressure batch reactor at 200 °C for 2 h, yielding a carbon-enriched hydrochar. Elemental analysis shows an increase in carbon mass fraction from 44.76 % to 54.09 % and a decrease in atomic O/C and H/C ratios, confirming carbonization as visualized in a Van Krevelen diagram. The hydrochar was chemically activated by potassium hydroxide (KOH) impregnation and thermal treatment, yielding 16–28 wt.% activated hydrochar. Adsorption isotherms were determined in a thermogravimetric, fluidized-bed reactor using a stepwise CO2 concentration program limited to 50 vol.% CO2 in N2 (0–5–10–25–50–0 vol.% CO2 at 100 kPa total pressure). The setup was extended by integrating online gas analysis to provide an independent, time-resolved mass-balance cross-check. Validation was performed using Lewatit VP OC 1065 by an internal Langmuir parity check and comparison with literature-based Toth model representations; gas analysis is demonstrated using a representative low-concentration step and by comparing Langmuir models derived from gas-based versus gravimetric loadings at 50 °C. For activated hydrochar, equilibrium points were obtained up to 50 vol.% CO2 (pCO2 ≈ 50 kPa) and show decreasing loading with increasing temperature. For literature comparison and indicative saturation reporting, isotherm fits were extrapolated to pure CO2 at 100 kPa: the maximum loading derived from the raw weighing signal was 1.84 mmol/g; after buoyancy correction, the corresponding value is 1.45 mmol/g.}},
author = {{Kroiß, Christoph and Al Afif, Rafat and Pröll, Tobias and Pfeifer, Christoph and Weinberger, Christian and Tondl, Gregor}},
issn = {{3004-9261}},
journal = {{Discover Applied Sciences}},
keywords = {{Hydrothermal carbonization, Activated hydrochar, CO2 adsorption, Adsorption isotherms, Thermogravimetric analysis, Gas analysis, Method validation, Carbon capture}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{Validation of a fluidized bed thermogravimetric method with integrated gas analysis for CO2 capture by activated hydrochar from pistachio shells}}},
doi = {{10.1007/s42452-026-09061-7}},
year = {{2026}},
}
@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}},
}
@inbook{63031,
abstract = {{Despite decades of awareness, asymmetries in conceptual resources, data, and governance between users and developers persist. Meanwhile, socially situated ‘end-users’ experience harms, such as hidden labor, reinforced stereotypes, and increased unpredictability, as machine learning advances. However, accurately modeling social context does not constitute design justice. This paper reinterprets Giuseppe Mantovani’s model of social context in human-computer interaction (HCI) to address the relational emergence and political situatedness of social context in human-AI interaction (HAI). Drawing on the concept of a multi-perspectival algorithmic imaginary, we (1) conceptualize context as nested and entangled relations, (2) identify actors, including users, developers, models, and interfaces, and (3) foreground the organization of relations of power. Recognizing that models are performative rather than predictive, we argue that the sociopolitical situatedness of context must be acknowledged alongside its limits. To challenge design authority, we propose that HCI and HAI strategically foster intra-actional negotiability, enabling users to challenge, reinterpret, or modify their relationship with technology through critical (design) practices.}},
author = {{Menne, Anna Lena and Schulz, Christian}},
booktitle = {{HCI International 2026 Posters: 28th International Conference on Human-Computer Interaction, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part I}},
editor = {{Stephanidis, Constantine and Margetis, George and Ntoa, Stavroula and Antona, Margherita and Salvendy, Gavriel}},
keywords = {{Social Context, Situatedness, Imaginaries}},
location = {{Montreal}},
pages = {{93--106}},
publisher = {{Springer International Publishing}},
title = {{{Social Context in Human-AI Interaction (HAI): Towards a Theoretical Framework Based on Multi-Perspectival Imaginaries}}},
doi = {{10.1007/978-3-032-30552-7_10}},
volume = {{3047}},
year = {{2026}},
}
@inbook{66560,
author = {{Diederich, Julia}},
booktitle = {{Soziales Lernen in der Grundschule und Sachunterricht. Theoretische Grundlagen, empirische Befunde und didaktische Implikationen}},
editor = {{Gläser, Eva and Schrumpf, Florian}},
pages = {{210--224}},
publisher = {{Julius Klinkhardt}},
title = {{{Soziales Lernen im Sachunterricht – Begriffsklärungen, Umsetzungsmöglichkeiten und fachdidaktische Reflexion. Ein Seminarkonzept im Master of Education}}},
doi = {{doi.org/10.35468/6245}},
year = {{2026}},
}
@inbook{66559,
author = {{Bergmann, Claudia Dorit}},
booktitle = {{Ethische Perspektiven zum Speisen in Antike und Gegenwart. Kontexte und Normen neutestamentlicher Ethik XV}},
editor = {{Erbele-Küster, Dorothea and Kobel, Esther and Volp, Ulrich}},
pages = {{197--215}},
publisher = {{Mohr Siebeck}},
title = {{{Zur Adaptionsfähigkeit und Dynamik von jüdischen Mahlritualen in antiken und modernen Krisenzeiten}}},
doi = {{10.1628/978-3-16-164802-1}},
volume = {{549}},
year = {{2026}},
}
@misc{63725,
author = {{Bergmann, Claudia Dorit}},
booktitle = {{Journal for the Study of Judaism}},
title = {{{Rezension zu: Susan Weingarten, Ancient Jewish Food in its Geographical and Cultural Contexts. What's Cooking in the Talmuds}}},
year = {{2026}},
}
@book{66558,
editor = {{Bergmann, Claudia Dorit and Temmermann, Johan}},
isbn = {{978-3-402-25180-5}},
pages = {{252}},
title = {{{Religious Diversity and Global Concerns}}},
doi = {{10.17438/25179}},
year = {{2026}},
}
@book{66570,
author = {{Breuing, Friederike and Daniel-Söltenfuß, Desiree and Kremer, H.-Hugo and Kückmann, Marie-Ann}},
publisher = {{Universitätsbibliothek Paderborn}},
title = {{{CommuniAction – Kommunikation und Verständigung spielerisch fördern und gestalten: eine praxisorientierte Handreichung für Akteur:innen in Innovations- und Verbundprojekten in der beruflichen Bildung}}},
doi = {{https://doi.org/10.17619/UNIPB/1-2672}},
volume = {{2}},
year = {{2026}},
}
@article{66578,
author = {{Rebekka Gallusser}},
journal = {{Quick And Easy Journal Title}},
title = {{{New Quick And Easy Publication - Will be edited by LibreCat team}}},
year = {{2026}},
}
@inproceedings{66599,
author = {{Beutner, Marc and Koppius, Sebastian Niklas and Schäfers, Johannes and Temmen, Katrin}},
booktitle = {{bwp@ Spezial HT2025: Nachhaltig – Digital – Chancengerecht. Zukunftsszenarien von Arbeit, Bildung und Beruf }},
editor = {{Hartwich, Katharina and Heisler, Dietmar and Lippegaus, Petra and Schmökel, Michelle and Schwede, Jana and Sommer, Christian}},
issn = {{1618-8543}},
keywords = {{5. Generation des Mobilfunkstandards (5G), Digitaler Reifegrad im Berufsschulunterricht, Best-Practice-Beispiele}},
location = {{Paderborn}},
publisher = {{bwp@ Berufs- und Wirtschaftspädagogik - online}},
title = {{{Die Ausbildung von morgen gestalten: mit 5G und für 5G. Unterrichtliche Anwendungsbeispiele für das Lernen mit 5G und für 5G an kaufmännischen und gewerblich-technischen Berufskollegs aus Ostwestfalen-Lippe }}},
year = {{2026}},
}
@article{66036,
abstract = {{Light-assisted metal oxide-based chemiresistive gas sensors are widely explored for operation at relatively low temperatures, yet the investigation of the role of irradiance, as opposed to wavelength, remains underrepresented. Here, we systematically quantify the irradiance-dependent behavior of ordered mesoporous In2O3 under visible light illumination. Photoconductivity measurements reveal two distinct irradiance regimes consistent with trap-limited transport at low power and recombination- or saturation-limited transport at high power. Gas sensing experiments towards CO and H2 show a pronounced non-monotonic response, reaching maximum responses of 0.74 for 135 ppm CO at 67 mW cm−2 and 0.64 for 90 ppm H2 at 11 mW cm−2, followed by strong suppression at higher irradiance. Illumination also accelerated the response kinetics. At 60 ppm, t90 decreases from 96 to 12 s for CO and 141 to 27 s for H2, corresponding to an 8- and 5-fold faster response time, respectively. Near-ambient pressure-XPS under controlled atmosphere and density functional theory calculations indicate defect-mediated excitation. Oxygen vacancy states and illumination-induced modification of surface oxygen species govern this behavior. The results establish irradiance as a critical mechanistic parameter that determines whether In2O3 operates in a surface-controlled or bulk photoconductive regime. These findings highlight the need to explicitly optimize and report irradiance in illuminated gas sensor studies, and not only the power consumption of the light source.}},
author = {{Voth, Sven and Zhao, Zhenyu and Baier, Dominik and Glass, Alexandra and Elgabarty, Hossam and Sandberg, Oskar J. and Grundmeier, Guido and Tiemann, Michael and Smått, Jan-Henrik and Anttu, Nicklas and de los Arcos, Teresa and Weinberger, Christian}},
issn = {{2379-3694}},
journal = {{ACS Sensors}},
keywords = {{resistive gas sensing, indium oxide, photoactivation, irradiance, photoconductivity, charge carrier dynamics, oxygen vacancies}},
number = {{7}},
publisher = {{American Chemical Society (ACS)}},
title = {{{Role of Irradiance in Light-Activated In2O3Gas Sensors: Why More Light Is Not Always Better}}},
doi = {{10.1021/acssensors.6c01100}},
volume = {{11}},
year = {{2026}},
}
@inproceedings{66596,
author = {{Rehmer, Lennart and Grieger, Nicole and Trier, Matthias and Kundisch, Dennis}},
booktitle = {{Proceedings of the 21. Internationale Tagung Wirtschaftsinformatik}},
location = {{Linz, Austria}},
title = {{{Can I Help to Explain That? A Conceptual Model Integrating Social Cognition and Intentional Stance Theories for Agentic XAI Design}}},
year = {{2026}},
}
@inproceedings{66597,
author = {{Rehmer, Torben and Rehmer, Lennart and Kundisch, Dennis and Trier, Matthias}},
booktitle = {{Proceedings of the 21. Internationale Tagung Wirtschaftsinformatik}},
location = {{Linz, Austria}},
title = {{{Structuring the Use of Virtual Reality in Human Behavior Research: A Taxonomy of Empirical Studies}}},
year = {{2026}},
}