bluuebunny/crossref_metadata_2025_split huggingface dataset:
A multi-energy meta-model strategy for multi-step ahead energy load forecasting
Authors: Mystakidis Aristeidis , Ntozi Evangelia , Koukaras Paraskevas , Katsaros Nikolaos , Ioannidis Dimosthenis , Tjortjis Christos , Tzovaras Dimitrios 
Published: February 2025

Abstract
Energy load forecasting (ELF) is necessary for optimal scheduling of electricity distribution to customers, reducing energy losses and for regulating power distribution. There are numerous approaches for ELF based on statistical, Machine Learning (ML) and deep learning (DL) methods. This paper performs a comparative multi-step ahead ELF utilising rolling (or recursive) versus direct forecasting techniques for three energy types (ETs), i.e. heating, cooling and electricity. It introduces a multi-energy meta-model strategy (MEMMS), a unified approach that combines the best outcomes of the comparison and utilises one model per time step ahead for all ETs. The findings were validated on three datasets, one per ET, employing metrics such as mean absolute error (MAE), root-mean-squared error (RMSE),

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and execution time. The novel aspects of this work can be attributed to the possible identification of the best-performing ML and DL models across all ETs, as well as the multi-energy behaviour recognition of the multi-step ahead strategies and the employed MEMMS approach. Initial comparison results indicated that direct multi-step ahead voting ensemble with light gradient boosting machine (LGBM) and CatBoost (CB) was the best-performing baseline ensemble approach. MEMMS reduced training time by 50%, achieving up to 2 kW lower RMSE, 0.5 kW lower MAE and 5% higher

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for cooling, and up to 2 kW lower RMSE, 4 kW higher MAE and 2% higher

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for heating, showcasing versatility across ETs and forecasting horizons.
Charge Transport Systems with Fermi–Dirac Statistics for Memristors
Authors: Herda Maxime , Jüngel Ansgar , Portisch Stefan 
Published: February 2025

Abstract
An instationary drift–diffusion system for the electron, hole, and oxygen vacancy densities, coupled to the Poisson equation for the electric potential, is analyzed in a bounded domain with mixed Dirichlet–Neumann boundary conditions. The electron and hole densities are governed by Fermi–Dirac statistics, while the oxygen vacancy density is governed by Blakemore statistics. The equations model the charge carrier dynamics in memristive devices used in semiconductor technology. The global existence of weak solutions is proved in up to three space dimensions. The proof is based on the free energy inequality, an iteration argument to improve the integrability of the densities, and estimations of the Fermi–Dirac integral. Under a physically realistic elliptic regularity condition, it is proved that the densities are bounded.
Prior hospitalizations as a predictor of prognosis in heart failure with mildly reduced ejection fraction
Authors: Steffen Henning Johann , Behnes Michael , Schmitt Alexander , Abel Noah , Lau Felix , Reinhardt Marielen , Akin Muharrem , Bertsch Thomas , Ayoub Mohamed , Mashayekhi Kambis , Weidner Kathrin , Akin Ibrahim , Schupp Tobias 
Published: February 2025

Abstract

Objective
This study aims to investigate the prognostic impact of the presence and type of prior hospitalizations in patients with heart failure with mildly reduced ejection fraction (HFmrEF).

Background
Data investigating the prognostic impact of the present and type of previous all-cause hospitalizations in HFmrEF is limited.

Methods
Consecutive patients hospitalized with HFmrEF at a single medical center were retrospectively included from 2016 to 2022. The prognosis of patients with a prior hospitalization < 12 months was compared to patients without. The primary endpoint was all-cause mortality at 30 months (median follow-up), the key secondary endpoint was heart failure (HF)-related rehospitalization at 30 months.

Results
Two thousand one hundred eighty four patients with HFmrEF were included, 34.8% had a previous hospitalization < 12 months (admission to internal medicine and geriatrics: 60.8%, surgical department: 23.5%). The presence of a previous hospitalization was associated with an increased risk of all-cause mortality (38.6% vs. 27.4%; HR = 1.51; 95% CI 1.30–1.76; p = 0.01) and HF-related rehospitalization at 30 months (21.2% vs. 9.1%; HR = 2.48; 95% CI 1.96–3.14; p = 0.01), even after multivariable adjustments. However, the department of previous hospitalization (internal medicine vs. surgical) did not significantly affect the risk of 30-months all-cause mortality (37.1% vs. 43.2%; HR = 0.82, 95% CI 0.63–1.08; p = 0.16) or HF-related rehospitalization (24.0% vs. 16.8%; HR = 1.47, 95% CI 0.98–2.24; p = 0.07). Finally, the type of previous admission (i.e., elective, emergency vs. HF-related admission) (log-rank p = 0.29) did not affect the risk of 30-months all-cause mortality.

Conclusion
Prior hospitalizations within 12 months were independently associated with impaired long-term mortality in patients with HFmrEF, irrespective of the department or type of prior admission.
Determination of DNA recovery from human teeth exposed to various acids
Authors: Sapan Tuğba Ünsal , Karaboğa Nejla 
Published: February 2025

Abstract
Forensic sciences encompass a comprehensive application of various scientific disciplines working together to solve crimes. In forensic cases, identification is the primary procedure. Due to the variety of crimes, difficulties can arise in identification. The ability to extract DNA from all types of biological tissues has made DNA analysis one of the most frequently used and reliable methods in identification. Teeth, which are noted for their relatively low degradation over long periods despite exposure to environmental, physical, and chemical factors, and their ability to securely preserve DNA material, are among the most used samples in DNA analysis. With the evolution of crime and methods of concealing it, body integrity-threatening procedures such as exposure to acids are frequently used by perpetrators. However, several studies have shown that DNA can still be recovered from dental samples exposed to various chemicals for specific durations. This study aimed to recover DNA from teeth exposed to strong acids. Dental samples obtained from volunteers were exposed to strong acids, including HCl, HNO3, and H2SO4, for 8, 12, and 120 hours, respectively, with each duration parameter tested separately. Following exposure, DNA isolation was performed, and the amount of DNA was assessed. Samples deemed suitable for identification underwent PCR and electrophoresis to obtain DNA profiles. The results showed that it was possible to successfully obtain a full DNA profile from molars exposed to sulfuric, hydrochloric, and nitric acid for up to 24 h, while it was possible to obtain a partial DNA profile from molars exposed to sulfuric acid for up to 120 h.
Synthesis, characterization and evaluation of experimental dental composite resin modified by grapefruit seed extract-mediated TiO₂ nanoparticles: green approach
Authors: Ezzat Dina , Sheta Mai Samy , Kenawy El-Refaie , Eid Mohammed A. , Elkafrawy Hend 
Published: February 2025

Abstract
Dental composite resins often face challenges related to secondary caries, polymerization shrinkage and fracture failure. This study aimed to synthesize an experimental composite resin modified with grapefruit seed extract-mediated titanium dioxide nanoparticles (GSE-TiO₂NPs) and evaluate its antibacterial activity and mechanical and physical properties. Green synthesis of TiO₂ nanoparticles was conducted utilizing GSE. The chemical profile of GSE was identified through gas chromatography-mass spectrometry. The as-prepared nanoparticles were incorporated into experimental composites at concentrations of 10 wt.% (10 wt.% GSE-TiO₂NPs group) and 20 wt.% (20 wt.% GSE-TiO₂NPs group), with an unmodified composite as the control group. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) confirmed the morphology and size of synthesized nanoparticles, with SEM revealing uniform particle distribution in the composite. Antibacterial activity against Streptococcus mutans was assessed using the agar disc diffusion method. Mechanical properties, including flexural strength (FS) and flexural modulus (FM), were evaluated according to ISO 4049 standards. Microhardness was tested according to the American Society for Testing Materials (ASTM E-384:1999) criteria. Polymerization shrinkage was measured using the strain gauge method. Modified composites exhibited significantly greater antibacterial activity against S. mutans compared to the control (p < 0.001). The 10 wt.% GSE-TiO₂NPs group demonstrated increased FS and FM values compared to the control group (p < 0.05). All groups surpassed the clinically acceptable microhardness threshold without significant differences (p = 0.588). Polymerization shrinkage was reduced in the modified groups (p < 0.01), with the 20 wt.% GSE-TiO₂NPs group showing the lowest value (13.06 ± 0.92%). Incorporating GSE-TiO₂NPs into composite resins enhances antibacterial activity, improves mechanical properties, and reduces polymerization shrinkage, suggesting a promising approach for developing advanced dental materials with integrated natural bioactive components.

Graphical abstract
Disrupting disruptions: enhancing supply chain resilience—lessons from the US Air Force
Authors: Berger Ron , Wagner Ralf , Dion Paul M. , Matthias Olga 
Published: February 2025

Abstract
Black swan events have highlighted the importance of supply chain resilience and hence drawn increased attention from academia. Using military supply chains as our research setting, we illustrate how supply chain resilience can be implemented in civilian networks and incorporate agility and flexibility into a responsive system-to-system model. We use a simulation model based on the Cassandra application to further develop supply chain network resilience theory. Our model provides updated situational awareness to decision makers and allows managers to identify direct and indirect threats to supply chains, allowing adaptation to unforeseen situations. We developed a dynamic, whole-system network model to provide timely, accurate, updateable and scalable information to planners and decision-makers at all levels in-order to reduce risk and increase resilience.
Frozen detritus: a novel nutritious food for juvenile mussels in captive breeding
Authors: Macháček Vojtěch , Simon Ondřej P. , Horáčková Jitka 
Published: February 2025

Abstract
Captive breeding of freshwater mussels is essential for conservation strategies to maintain populations of endangered bivalve mollusks. In the Czech Republic, breeders use detritus from natural sources, preferably from nearby streams and spring areas, to prepare pearl mussels for release into the target localities to reestablish sustainable populations in their native habitats. This strategy is subject to sudden changes, and breeders must consider different detritus qualities between seasons and the unpredictability of weather conditions. Therefore, harvesting natural detritus on a regular basis is challenging and time-consuming, and more samples require more testing, which increases the cost of captive breeding. We proved that juvenile freshwater pearl mussels grew faster when fed detritus stored frozen in a freezer than when fed the same chilled detritus. Therefore, detritus can be harvested under optimal conditions and stored in a freezer for the remaining season, thereby simplifying and reducing mussel conservation costs. Moreover, this approach offers a sustainable, environmentally friendly method that does not require the industrial production of artificial feeds.
Exploring the impact of climate change on respiratory health in Nigeria: a scoping review of current research, government policies and programs
Authors: Niyi-Odumosu Faatihah , Ozoh Obianuju B. , Ope Victor Oloruntoba , Ale Boni M. , Akinnola Olayemi , Iseolorunkanmi Alexander , Adeloye Davies 
Published: February 2025

Abstract
Climate change significantly impacts health globally, especially in densely populated, rapidly industrialising and ecologically diverse countries like Nigeria. We analysed climate change policies, studies, programs, and events at the national and subnational levels in Nigeria and explored their effects on public and respiratory health. Using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMAScR) checklist, we searched PubMed, African Journals Online (AJoL), Google Scholar and government data repositories on January 10, 2024. We synthesised results using an adapted sector-level framework based on the World Health Organization (WHO) guidelines. Our searches returned 262 items, of which 32, including research studies, reports and grey documents, were retained for synthesis. Although some policies and programmes, like the Climate Change Act and Nigerian Climate and Health Observatory, exist, implementation is limited across many settings. Key reported respiratory pollutants in Nigeria include particulate matter (PM2.5, PM10), gaseous emissions (CO, SO₂, NOx), agricultural by-products (NH₃, H₂S), greenhouse gases (CH₄, CO₂), and microbial contaminants, which collectively increase the risk of respiratory inflammation, infections, and exacerbations of chronic respiratory symptoms and diseases. Our findings underscore a clear link between climate change and worsening respiratory health in many Nigerian settings. The current policies and programmes’ have limited impact, calling for comprehensive reforms, including improved enforcement and targeted action against major pollution sources, recognition of environmental rights, and stronger public health initiatives and community action.
The Destitute Working Class and the Rule-Abiding Citizen: The Contestation of Populist Tropes in the Gilets Jaunes Movement
Authors: Dumitrica Delia , Sommier Mélodine 
Published: February 2025

Abstract
This paper examines the discursive articulation and contestation of populist tropes for social movements. Where existing scholarship has regarded populism as a master frame for social movement mobilization, this paper foregrounds the precarity of “the people” in the case of the Gilets Jaunes (Yellow Vests) in France. To answer the question of how social and political actors (re)produce and challenge meanings about “the people,” we performed a discourse analysis of online news items (N = 100) about the Gilets Jaunes. We identify two oppositional discourses—the destitute working class and the rule-abiding citizen—through which the Gilets Jaunes become a polarized object of public discussion. Our findings suggest that the mobilizing potential of populist tropes can serve not only social movements, but also their political opponents. We conclude by exploring the political implications of the normalization of populist tropes in the context of social movements.
Nursing Students’ Perceptions of Spiritual Care in Türkiye: A Mixed Methods Study
Authors: Kırca Kamile , Gülnar Emel , Özveren Hüsna 
Published: February 2025

Abstract
Student nurses’ sensitivity and personal perceptions about spirituality and spiritual care are important in providing spiritual care because student nurses need to explore their spirituality and their relationship to care. The study was carried out with a sequential explanatory mixed method design. Quantitative data for the research was collected using the descriptive characteristics form and the spirituality and spiritual care rating scale. As a result of the data obtained from the focus group interviews, the authors identified five contexts, fifteen themes and many sub-themes. As a result of this study, it was determined that the student’s perceptions of spirituality and spiritual care were above average, and they saw spiritual care as a dimension of holistic care. However, they did not feel competent in providing spiritual care in clinical practice.
An empirical study on impact of label noise on synthetic tabular data generation
Authors: Kim Jeonghoon , Huang Chao , Liu Xin 
Published: February 2025

Abstract
Synthetic data has been actively used for various machine learning-based tasks due to its benefits such as massive reproducibility and privacy enhancement compared to using the original data. The quality of the generated synthetic dataset crucially depends on the quality of the original data, and the latter is often corrupted by label noise. While there have been studies on feature noise, how label noise affects synthetic data generation is under-explored. In this paper, we evaluate the impact of the noisy label on synthetic data generation with a focus on tabular data. One challenge is how to evaluate the quality of synthetic data under label noise. To this end, we design comprehensive experiments to measure the impact of label noise on synthetic data generation in different aspects: synthetic data quality, data utility, and convergence for training synthesizers and machine learning models for downstream tasks. The empirical results cover wide aspects of synthetic data generation under label noise and they show quality and utility degrades with higher noise levels while there is no significant effect on the synthesizer convergence observed.
Bias, machine learning, and conceptual engineering
Authors: Rudolph Rachel Etta , Shech Elay , Tamir Michael 
Published: February 2025

Abstract
Large language models (LLMs) such as OpenAI’s ChatGPT reflect, and can potentially perpetuate, social biases in language use. Conceptual engineering aims to revise our concepts to eliminate such bias. We show how machine learning and conceptual engineering can be fruitfully brought together to offer new insights to both conceptual engineers and LLM designers. Specifically, we suggest that LLMs can be used to detect and expose bias in the prototypes associated with concepts, and that LLM de-biasing can serve conceptual engineering projects that aim to revise such conceptual prototypes. At present, these de-biasing techniques primarily involve approaches requiring bespoke interventions based on choices of the algorithm’s designers. Thus, conceptual engineering through de-biasing will include making choices about what kind of normative training an LLM should receive, especially with respect to different notions of bias. This offers a new perspective on what conceptual engineering involves and how it can be implemented. And our conceptual engineering approach also offers insight, to those engaged in LLM de-biasing, into the normative distinctions that are needed for that work.
Turning the Plurality of Chemistry into a Resource for Learning: A Core Competency of Chemistry Teachers
Authors: Nehring Andreas , Schanze Sascha 
Published: February 2025

Abstract
Chemistry is a science that not only examines substances at different levels of abstraction and involves a wide multitude of cognitive and experimental operations, but also used and uses a variety of concepts and representations referring to the same term. At the same time, many studies on the professional competencies of teachers underline the importance of content knowledge as a prerequisite for pedagogical content knowledge and instructional quality for example. While these studies use a quantitative logic of more or less chemistry knowledge, this paper argues that teachers do not only have to understand chemical concepts but also have to be able to manage conceptual plurality. This involves explaining phenomena based on different concepts, comparing their explanatory power and their limitations, and reflecting upon their sometimes different ontological and epistemological status. We propose conceptual clarifications for acid–base chemistry, redox chemistry, and atomic and bonding models to indicate how plurality manifests itself in chemistry in the first place. On this basis, we derive five approaches showing how managing conceptual plurality in chemistry helps to support learning chemistry. Teachers are more likely to make adequate curricular decisions, to anticipate students’ conceptions, to support transitions between concepts meaningfully, or to foster epistemic cognition as a part of learning chemistry. We discuss these approaches as explanations for findings in the field of teachers’ professional competencies.
Die Digitalisierung des Personalwesens als Transformationsbeschleuniger – Ein Einblick in die Praxis am Beispiel der Volkswagen Aktiengesellschaft
Authors: Dahm Johanna , Hofmann Martin , Kauffeld Simone 
Published: February 2025

Zusammenfassung
Dieser Artikel der Zeitschrift „Gruppe. Interaktion. Organisation.“ untersucht die Auswirkungen der Digitalisierung auf die Automobilindustrie, mit besonderem Fokus auf den Bereich Personal, Organisation und Bildung. Er beleuchtet und analysiert die HR-Digitalisierungsstrategie in der Volkswagen AG sowie die globale Umsetzung als Teil einer nicht mehr wegzudenkenden Dimension der Prozess- und Organisationsgestaltung. Die Einblicke in die digitalen Interventionen, die mit einer Effizienzsteigerung und Standardisierung von HR-Prozessen einhergehen, zeigen auch die kulturellen und regulatorischen Herausforderungen bei der Implementierung globaler Systeme im Personal- und Organisationsbereich. Die sich daraus abgeleiteten Schlüsselerkenntnisse setzen wichtige Impulse für zukünftige Digitalisierungsstrategien. Zudem eröffnen sie einen neuen Forschungshorizont im Bereich des Personal- und Organisationsmanagements.
Fertility Sparing Medical Management Options in Gynecologic Cancers
Authors: Kouri Ana , Darby Janelle P. 
Published: February 2025

Opinion Statement
There is an increasing use of medical management for gynecologic cancers given the rise in neoadjuvant therapies, delayed childbearing, and use of assisted reproductive technology. Chemotherapy, albeit broadly used in most gynecologic cancers, lacks long term data with respect to its associated gonadotoxicity and potential adverse pregnancy outcomes. Immunotherapy and other targeted therapies that have demonstrated promising responses in other tumor types are increasingly being studied in gynecologic malignancies. These therapies may offer opportunities for enhanced treatment response in an effort to minimize more toxic, invasive, or surgical management approaches that could have significant negative implications on fertility. Given that some of these therapies do not represent the standard of care and currently only exist in the experimental setting, detailed counseling and careful selection of patients for fertility sparing treatment remains critical. It is reasonable for patients with early stage, low-risk endometrial cancers to attempt conservative management while establishing clear treatment objectives. Early involvement of fertility specialists is necessary in order to optimize these patients’ pregnancy goals. An emphasis on lifestyle changes and in particular weight loss should also be discussed with these patients. Neoadjuvant chemotherapy followed by fertility sparing surgery in cervix cancer patients with low-risk, small tumors shows promising results that suggest this can be a safe treatment option. Patients with advanced stage disease of any primary tumor or aggressive histology such as in many cases of ovarian cancer are not appropriate candidates for prioritization of fertility sparing treatment options. Ongoing and future studies will help to better identify appropriate patients and maximize medical management options in early-stage gynecologic cancers.