bluuebunny/crossref_metadata_2025_split huggingface dataset:
How to Improve the Efficiency of the New Energy Vehicle Industry: Multiple Paths From Configuration Perspective
Authors: Zhang Tian , Fu Yaqin , Hu Jiang 
Published: January 2025

ABSTRACTThis study examines regional new energy vehicle (NEV) industry efficiency across 26 Chinese provinces, addressing the need for deeper insights into the spatiotemporal efficiency patterns and configurational pathways influencing NEV development. By employing data envelopment analysis (DEA) to measure efficiency, exploratory spatial data analysis (ESDA) to explore spatial clustering, and fuzzy‐set qualitative comparative analysis (fsQCA) to investigate configuration‐based pathways, this research provides a nuanced understanding of how regional factors shape NEV efficiency. The analysis identifies four distinct configurational pathways: policy bolstering for technological innovation, organizational synergy, market dynamics and regulatory synergy, and structural deficiency type. These findings suggest that developed regions benefit from prioritizing organizational collaboration and technological support, while less‐developed areas may improve efficiency through foundational policy enhancement and regulatory alignment. Furthermore, investing in human capital, technical innovation, and infrastructure can contribute to building a resilient NEV ecosystem. By integrating multiple analytical methods, this study sheds light on the complex interactions shaping NEV efficiency across regions and offers insights for policymakers to enhance the global competitiveness and sustainability of China's NEV industry.
Variational and Numerical Approaches to Contact Problems With Coulomb Friction in Thermoviscoelasticity
Authors: Hilal Mouna , Bouallala Mustapha , Ouafik Youssef 
Published: January 2025

ABSTRACTIn this work, we present a mathematical model that describes the quasistatic frictional contact between a thermoviscoelastic body and a conductive foundation. The contact is modeled using Signorini's conditions, and the friction is described by Coulomb's law. The existence and uniqueness of a weak solution are proven using the theory of first‐order evolution variational inequalities and the Banach fixed point theorem. Finally, we present numerical results for a two‐dimensional test problem to demonstrate the efficiency of the proposed algorithm.
An Intelligent Electric Vehicle Charging System in a Smart Grid Using Artificial Intelligence
Authors: Senthilkumar T. , Sivaraju S. S. , Anuradha T. , Vimalarani C. 
Published: January 2025

ABSTRACTThe rapid combination of the electric vehicles into the recent transportation prefers very efficient charging systems involved in grid conditions. This increasing adoption of electric vehicles demands a dynamic and intelligent framework to control charging, confirming optimal grid performance, load balancing, and cost efficiency. In this work, we developed an optimized deep learning framework using the combined structure of Whale‐Optimized Neuro‐Fuzzy Classification for controlling electric vehicle charging within the grid. The increasing involvement of electric vehicle's produces new difficulties, involving overload of grid, and energy management, in real‐time and optimized decision making process. The Whale‐Optimized Neuro‐Fuzzy Classification method uses the hybrid abilities of neuro‐fuzzy systems, integrates the capability of the neural networks and also optimize using a Whale Optimization Algorithm for improved accuracy and efficiency. This proposed method maintains the charging and discharging process of electric vehicles, which have several factors like grid load, priorities of the vehicle and preferences of the user. The neuro‐fuzzy system combines deep convolutional neural network and fuzzy logic to predict charging patterns, considering user preferences, grid demand, renewable energy availability, and so on. This method contribute to the enhancement of energy systems, denotes the future requirement of future smart cities. Evaluation metrics included power usage, energy loss, cost, and processing speed. Analysis of experimental results revealed the accuracy of 99% for the proposed method compared to existing techniques.
Implicit Central Difference Approximations of Averaged Dynamics of Highly Oscillatory Systems With Applications to Direct Optimal Control
Authors: Harzer Jakob , De Schutter Jochem , Rutquist Per , Diehl Moritz 
Published: January 2025

ABSTRACTTrajectory optimization of highly oscillatory systems can require huge computational efforts if the horizon of the problem is much larger than the duration of a single cycle. To alleviate this effort, stroboscopic averaging methods can be used, which utilize local single‐cycle simulations of the oscillatory dynamics to then approximate the average dynamics of the system and integrate them with integration steps much larger than a single cycle. Targeting especially the field of direct optimal control, where, after discretization, the simulation of the dynamics is often included implicitly in the equality constraints of the nonlinear programming problem, we introduce an implicit central difference scheme for the approximation of the average dynamics. In the introduced implicit central difference methods, we solve a nonlinear system of equations that connects single‐cycle simulations of the oscillatory dynamics in order to approximate the average dynamics from a linear combination of points in state‐space. We derive the accuracy order for this generalized ‐point central difference approximation of the average dynamics and confirm the claims in numerical experiments. Compared to existing explicit approaches, the introduced methods are up to twice as efficient while maintaining the same level of accuracy.
Young people's networked constructions of nature: Evidence from a qualitative multiple case study in the United Kingdom
Authors: Reed Jack , Beames Simon Kennedy , Macleod Gale 
Published: January 2025

Abstract

How young people interpret and engage with nature is an important consideration within our current biodiversity and climate crises. What remains less clear are the ways in which online, networked, spaces underpin young people's relationships with nature, and what consequences these spaces may have for in‐person nature interactions.

Given the ubiquitousness of networked spaces in society, it has been argued that day‐to‐day life is increasingly ‘postdigital’, in that we may no longer distinguish meaningful differences between our online and offline worlds. Therefore, it is necessary to examine this collapsing physical‐digital binary in the context of young people's in‐person interactions with nature to examine the effectiveness of this theoretical perspective.

Utilising ethnographically situated, participant‐as‐observer methods, this qualitative multiple case study generated data across three rural residential outdoor education centres in England, Scotland and Wales, with young people aged 12–17. Participants were visiting the residential centres from urban schools in England and Scotland, with each group spending 5 days at their respective centre.

Reflexive thematic analysis of fieldnote data revealed that young people had previously constructed their understandings and interpretations of what nature ‘is’ through networked environments such as Instagram, TikTok and Minecraft. These networked constructions often contextualised young people's direct, in‐person interactions with nature and demonstrated ways in which these online spaces influenced how nature was perceived and understood. The case is presented for interpreting the findings from a postdigital ‘networked baselines’ perspective.

The findings will resonate with practitioners and policymakers concerned with the relationships between young people, networked spaces and nature connectedness. Alongside this, given the editorial discussion on the impacts of ‘nature on screen’ from Silk et al. (2021) in People and Nature, this paper provides a set of empirical findings on how young people's organic engagements with nature on‐screen provided a degree of foundational knowledge about what nature is, what nature is for and how nature should be engaged with.

Read the free Plain Language Summary for this article on the Journal blog.
An Exploration of Collaboration Between School Psychologists and School Administrators
Authors: Fish Marian C. , Wamba Nathalis , Matuza Tom , Cooperstone Julie 
Published: January 2025

ABSTRACTPrior research has highlighted strong benefits from having a collaborative environment within schools. However, there has been limited research regarding factors that can promote a collaborative relationship between two key professionals within the school environment: school administrators and school psychologists. The first purpose of this study was to examine the nature of collaboration between school psychologists and school administrators. The second purpose was to explore ways to facilitate and improve this interprofessional collaboration within the school to promote safe, equitable, and supportive school climates and positive student outcomes. Using a qualitative research method, we collected and analyzed data from three focus groups: school psychologists, school administrators, and a combined group of school psychologists and school administrators, all working in New York City and nearby suburban, public culturally and linguistically diverse school settings. We developed an interview guide disseminated to the participants before the focus group meetings which were held via conference call and recorded. Discussions were transcribed and analyzed using content analysis. Four raters coded the data and reached consensus on major themes. The findings suggest that quality collaboration between school psychologists and school administrators is infrequent and often haphazard and it should instead be intentional and purposeful. The study uncovered prerequisites for and challenges to effective collaboration, leading to recommendations for intervention in school practice and in preparation programs with a goal of enhancing school climate and student outcomes.
Parental Anxiety and Math Engagement: A Moderated Mediation Model of Math Anxiety and Perceived Teacher Support
Authors: Zhou Yu , Jing Bin , Zhang Jing , Pi Zhongling , Ma Hongliang 
Published: January 2025

ABSTRACTStudents' engagement in math is essential for enhancing the effectiveness of math instruction. Previous studies examined the factors influencing math engagement, including parents, teachers, and students, however, few conducted a joint analysis of these variables. This study aimed to investigate the effects of these variables on math engagement by developing a moderated mediation model. A total of 1178 high school students and their primary caregiver (either father or mother) were involved in this study. The findings revealed the following: (1) Parental anxiety does not act as a direct predictor of math engagement; (2) Math anxiety fully mediates the relationship between parental anxiety and math engagement; and (3) Perceived teacher support does not significantly moderate the relationships between parental anxiety and math engagement or between parental anxiety and math anxiety. However, it does have a moderating effect on the relationship between math anxiety and math engagement. These results suggest that enhancing teacher support in math education may effectively reduce math anxiety and subsequently increase students' engagement in math.
Structure, Oligomerization, and Thermal Stability of a Recently Discovered Old Yellow Enzyme
Authors: Polidori Nakia , Babin Peter , Daniel Bastian , Gruber Karl 
Published: January 2025

ABSTRACTThe Old Yellow Enzyme from Ferrovum sp. JA12 (FOYE) displays an unusual thermal stability for an enzyme isolated from a mesophilic organism. We determined the crystal structure of this enzyme and performed bioinformatic characterization to get insights into its thermal stability. The enzyme displays a tetrameric quaternary structure; however, unlike the other tetrameric homologs, it clusters in a separate phylogenetic group and possesses unique interactions that stabilize this oligomeric state. The thermal stability of this enzyme is mainly due to an unusually high number of intramolecular hydrogen bonds. Finally, this study provides a general analysis of the forces driving the oligomerization in Old Yellow Enzymes.
Melatonin: A Review of the Evidence for Use in Hospital Settings
Authors: Adattini Josephine A. , Wills Carly , Martin Jennifer H. 
Published: January 2025

ABSTRACTNew onset insomnia is often experienced by patients during hospitalization due to environmental disruptions, pain and increased patient care activities. Patient distress arising from poor sleep quality and quantity often results in the prescribing of hypnotics. Melatonin use in hospital settings is common and is increasingly used for off label indications including primary insomnia in those aged < 55 years, prevention of delirium and to facilitate benzodiazepine discontinuation. A literature review was conducted to evaluate the efficacy, effectiveness, safety, tolerability, and cost‐effectiveness of melatonin for various off‐label indications in inpatient hospital settings. The review found limited high quality evidence demonstrating a clinically meaningful benefit from melatonin in improving sleep, delirium, or facilitating benzodiazepine discontinuation in the inpatient setting. Study findings were inconsistent, and those that did show statistical improvement were of uncertain clinical benefit. The review also found a paucity of data on the safety of melatonin when used in hospitalized patients, and no evidence to support cost‐effectiveness. Non‐pharmacological interventions are recommended as first‐line treatment of insomnia and for the prevention of delirium in inpatient settings. The use of interventions without evidence for efficacy or effectiveness is contrary to the quality use of medicines principles in Australia's National Medicines Policy. Context‐specific evidence on the efficacy and effectiveness of a medicine should guide clinician decision‐making and prescribing, to improve the quality use of medicines.
Dysfunction of a lepidopteran conserved gene, BmBLOC1S6, causes a translucent larval integument in the silkworm, Bombyx mori
Authors: Sun Tao , Song Jiangbo , Luo Jingzhi , Jiang Yu , Tan Duan , Zhou Lei , Wu Wentao , Han Minjin , Hu Hai , Tong Xiaoling , Lu Cheng , Dai Fangyin 
Published: January 2025

AbstractBACKGROUNDDiverse lepidopteran insects cause serious damage to plants, and their larvae possess a crucial epidermal barrier against environmental stimuli. Their ultraviolet (UV) resistance is enhanced by accumulating uric acid granules in the epidermis, suggesting that genes involved in this process may be potential targets for lepidopteran pest management.RESULTSThe silkworm pan‐genome dataset is a valuable source for studying genomic mutations and phenotype–genotype associations. Hoarfrost translucent (oh) is a recessive silkworm mutant with a translucent larval integument. Using comparative genomic analysis, we found that the oh mutant has an 828‐bp deletion in the BmBLOC1S6 genome. BmBLOC1S6 encodes a BLOC‐1 complex subunit and is conserved during lepidopteran evolution. Knockout of BmBLOC1S6 replicated the oh phenotype. Furthermore, BmBLOC1S6 knockout and oh larvae are more sensitive to UV irradiation compared to the wild‐type. These results revealed that BmBLOC1S6 is essential in forming uric acid granules for silkworm epidermal UV resistance.CONCLUSIONOur results showed that BmBLOC1S6 is responsible for the oh phenotype in silkworms and is conserved during lepidopteran evolution. This study may help us better clarify uric acid granules formation in the epidermis, explore their function in UV resistance and identify a potential molecular target for lepidopteran pest control. © 2025 Society of Chemical Industry.
Towards reproducible systematic reviews in Open, Distance, and Digital Education—An umbrella mapping review
Authors: Zawacki‐Richter Olaf , Cefa Berrin , Bai John Y. H. 
Published: January 2025

AbstractMore and more systematic reviews (SRs) are being published in the educational sciences. This umbrella mapping review examines 576 SRs published between 2018 and 2022 in the field of open, distance, and digital education (ODDE) to investigate publication and authorship patterns and to evaluate the quality of these SRs. A quality index score was calculated for each included study based on the PRISMA reporting items for SRs (including elements such as the search strategy, eligibility criteria, protocol registration, study quality appraisal, interrater reliability, etc.). Almost as many SRs were published in 2022 as in the previous four years and the most rigorous SRs come from the field of medical education. However, the results show that there is room for improvement in SRs published in ODDE. A content analysis that explored the thematic scope of SRs showed that the majority of SRs addressed topics related to learning design, AI in education, and the effectiveness of online learning and teaching interventions. Research during this time period was strongly influenced by the experiences with online learning during the COVID‐19 pandemic. The results of this umbrella review should help to improve the quality of SRs towards reproducible reviews in ODDE.
Context and implicationsRationale for this study: The field of Open, Distance, and Digital Education (ODDE) is in transition and an umbrella mapping review is warranted given the dynamic growth of SRs in this literature.Why the new findings matter: The quality of many published SRs limits the reproducibility and validity of the presented research evidence—the results of the present quality appraisal call for more rigorous SRs in ODDE.Implications for researchers: Conducting SRs is a fruitful exercise for individual researchers and research institutions to gain a solid overview of a given topic. However, researchers must be trained in the appropriate methodology for the results to be reproducible and valid.Implications for practitioners and policy‐makers: Systematic reviews can be a valuable source to inform practice and policy‐making. However, attention must be paid to the quality of the reviews; if the method is not carried out accurately, the results must be interpreted with caution. Journal editors: As gatekeepers responsible for ensuring journal quality, editors should invite experts for the SR methodology to be members of the editorial team to handle the peer‐review process of submissions. It must be guaranteed that only methodologically sound SRs are published.
Sod1 deficiency in mouse oocytes during in vitro maturation increases chromosome segregation errors with a reduced BUBR1 at kinetochore
Authors: Nago Mitsuru , Yanai Masumi , Ishii Mika , Sato Yasuko , Odajima Kazuharu , Kimura Naoko 
Published: January 2025

AbstractPurposeThis study aimed to investigate the molecular mechanisms associated with chromosome segregation errors caused by intrinsic oxidative stress during in vitro oocyte maturation (IVM) using oocytes from Sod1‐deficient (Sod1KO) mice.MethodsOvulated or in vitro matured cumulus‐cells oocyte complexes (COCs) were collected from wild‐type (WT) and Sod1KO mice and evaluated chromosome alignment, chromosome segregation, meiotic progression, and BUBR1 and REC8 protein expression levels.ResultsIn 21% O2 IVM, the Sod1KO had significantly higher frequencies of chromosome misalignment and segregation errors compared to the WT, and they also reached Germinal Vesicle Break Down (GVBD) and M I stages peak earlier and showed a shorter M I stage residence time compared to the WT. These changes were associated with a decrease in the recruitment of BUBR1 to kinetochores at M I stage, but there were no differences in the expression of REC8 between the two genotypes. Furthermore, the addition of L‐ascorbic acid (AsA) or N‐acetyl‐L‐cysteine (NAC) during IVM reduced the frequency of chromosome segregation errors in Sod1KO oocytes.ConclusionsOxidative stress caused by Sod1 deficiency during IVM impairs the spindle assembly checkpoint function due to a decrease in the recruitment of BUBR1 to M I stage kinetochores, leading to abnormalities in meiotic progression and chromosome segregation.
The Role of Non‐Native Plant Species in Modulating Riverbank Erosion: A Systematic Review
Authors: Hardwick James , Hackney Christopher , Keen Lizzie , Fitzsimmons Clare , Willby Nigel , Pattison Zarah 
Published: January 2025

ABSTRACTRiverbank erosion is a naturally occurring process that influences riparian zone habitats. However, anthropogenic activities are increasing rates of riverbank erosion. Climate change and hydrological and physical modifications drive riparian zone perturbations. Whilst native riparian vegetation can reduce riverbank erosion, the proliferation of non‐native riparian plant species has been linked to riverbank instability, with marked changes in fluvial erosional regimes attributed to invasion by species such as Impatiens glandulifera (Himalayan Balsam) or Tamarix (Tamarisk) into riparian zones. Yet, the role of non‐native plant species in modulating riverbank erosion remains unclear, in part due to the lack of investigations that quantify geomorphic change. We systematically assessed the relevant ecological and geomorphological literature to determine current understanding and to offer recommendations for future research on non‐native plant—riverbank erosion. Included articles focused on a limited number of non‐native plant species across a restricted range of habitats types, with dependency on topographic change and generally short study duration obscuring potential causal links or feedback cycles. It is critical in the face of parallel rapid proliferation of riparian non‐native plant species and climate change effects, that we improve mechanistic understanding of their role in riverbank erosion.
Chiral and Quantum Plasmonic Sensors: New Frontiers in Selective and Ultra‐Sensitive Sensing
Authors: Thapa Dev Kumar , Biswas Soumava 
Published: January 2025

AbstractSurface Plasmon Polaritons (SPPs) and Localized Surface Plasmon Resonances (LSPRs) are fundamental phenomena in plasmonics that enable the confinement of electromagnetic waves beyond the diffraction limit. This confinement results in a significant enhancement of the electric field, making this phenomenon particularly beneficial for sensitive detection applications. However, conventional plasmonic sensors face several challenges, notably their difficulty in distinguishing chiral molecules, which are vital in drug development. Furthermore, these sensors exhibit sensitivity issues and energy losses, leading to broader resonance peaks and diminished signal‐to‐noise ratios. Recent research has concentrated on integrating chirality and quantum effects in plasmonics to overcome these limitations. Particularly, the development of plasmonic sensors with exceptional sensitivity and precision at scales smaller than the diffraction limit. This review assesses the latest advancements in chiral and quantum plasmonic sensing technologies. The first section details the theory and operational principles of conventional sensors based on SPPs and LSPRs. The second section discusses recent developments in chiral plasmonic sensors, while the third section focuses on plasmonic quantum sensing, highlighting contemporary findings. Specifically, this section emphasizes quantum‐enhanced sensing techniques that mitigate shot noise, a significant barrier to single‐molecule detection. The concluding section summarizes the review and identifies potential future research directions.