bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decision-making in the United Nations General Assembly: A comprehensive database of resolution-related decisions
Authors: Fjelstul Joshua , Hug Simon , Kilby Christopher 
Published: January 2025

AbstractExisting United Nations General Assembly (UNGA) voting databases provide excellent coverage of UNGA voting on resolutions adopted by roll-call vote. These databases, however, have known limitations: The United Nations Digital Library only covers final decisions on adopted resolutions, not prior resolution-related decisions nor decisions on failed resolutions. Coverage of roll-call votes in the widely-used database provided by Bailey, Strezhnev and Voeten is broader but reflects limitations in the historical datasets on which the database is built (e.g., the Inter-university Consortium for Political and Social Research dataset). As a result, voting coverage and what is reported vary over time. In this paper, we present a new dataset that expands and improves the consistency of the UNGA decisions covered. We provide comparisons of our database with other UNGA datasets and explore the implications of more complete data for existing and future research.
Relevance of debt- and tax-related motives for conditional conservatism of limited-liability and full-liability firms: evidence from Europe
Authors: Bigus Jochen , Georgiou Nadine 
Published: January 2025

AbstractIn contrast to shareholders of limited-liability firms, the owners of sole proprietorships and partnerships are fully liable for their firm’s liabilities. We expect owners’ full liability to mitigate agency problems of debt and to lower creditors’ demand for financial debt covenants and accounting conservatism. Using a European sample of private firms, we find robust evidence that full-liability firms exhibit about 20–25% less timely loss recognition than limited-liability firms, confirming previous findings for German firms. In addition, we find that full-liability firms exhibit significantly more timely loss recognition in countries with high book-tax conformity, while limited-liability firms do not. Furthermore, we find some, but not robust, evidence that the strictness of the bankruptcy code and timely loss recognition are partial substitutes. Our analyses contribute to prior literature by analyzing how owner liability is related to conditional conservatism and how the characteristics of the institutional framework are related to this association.
Treatment of Inpatient Opioid Withdrawal with Short-Acting Full Agonist Opioids at a Safety-Net Hospital
Authors: Steiner Gabriela , Suen Leslie W. , Martin Marlene , Skinner Sasha , Crouch Pierre , Nguyen Oanh K. , Slown Kristin , Logan Alexander 
Published: January 2025

Abstract
Background
Fentanyl use leads to increased opioid tolerance in people with opioid use disorder, complicating management of opioid withdrawal syndrome. While accepted as gold standard, methadone and buprenorphine may be insufficient to treat acute opioid withdrawal. Short-acting full agonist opioids (SAFAO) may improve treatment in the acute care setting.

Aim
Characterize use of SAFAO to treat opioid withdrawal syndrome for inpatients.

Setting
Urban safety-net hospital.

Participants
Inpatients with opioid use disorder.

Program Description
Addiction Consult Team offers SAFAO to manage opioid withdrawal syndrome.

Program Evaluation
We performed retrospective chart review of hospitalizations (n = 124) for patients with opioid use disorder who received SAFAO between March and June 2023. Patients received methadone or buprenorphine during 94% of hospitalizations. On average, 278 mg (SD 407 mg) oral morphine equivalents (OMEs) of SAFAO were administered daily during the first hospitalization week. Daily Clinical Opiate Withdrawal Scale scores and SAFAO OMEs were inversely correlated (Spearman rank correlation = − 0.96, p = 0.003). Five hospitalizations exhibited adverse events (AEs).

Discussion
Use of methadone/buprenorphine did not alleviate the need for SAFAO, suggesting that SAFAO administration may be an important intervention for opioid withdrawal. Use of escalating OMEs of SAFAO was associated with reduced withdrawal severity. This practice was well-tolerated with few AEs.
The association between self-compassion and psychological distress among Chinese college students: serial mediation via emotions and resilience resources
Authors: Hou Jianhua , Qu Diyang , Bu He , Chen Bowen , Liu Guoxiong , Yu Nancy Xiaonan 
Published: January 2025

AbstractGuided by the theory of self-compassion and the broaden-and-build theory of positive emotions, we aimed to assess how self-compassion is related to psychological distress among Chinese college students. A convenience sample of 2,263 Chinese college students from four universities participated in this cross-sectional study. They completed measures assessing (un)compassionate self-responding, positive emotions, negative emotions, resilience resources, and psychological distress through an online survey platform. We found that positive emotions and resilience resources significantly mediated the associations between (un)compassionate self-responding and psychological distress. Future studies on mental health promotion programs based on self-compassion should evaluate whether interventions for enhancing positive emotions effectively boost resilience resources and adjustment outcomes during future pandemics. For application, university counselling centers may offer self-compassion workshops or groups to college students during transitional periods.
Evaluation of Three Viral Capsid Integrity qPCR Methods for Wastewater-Based Viral Surveillance
Authors: Kevill Jessica L. , Farkas Kata , Herridge Kate , Malham Shelagh K. , Jones Davey L. 
Published: January 2025

AbstractCapsid Integrity qPCR (CI-qPCR) assays offer a promising alternative to cell culture-based infectivity assays for assessing pathogenic human virus viability in wastewater. This study compared three CI-qPCR methods: two novel (Crosslinker, TruTiter) and one established (PMAxx dye). These methods were evaluated on heat-inactivated and non-heat-inactivated ‘live’ viruses spiked into phosphate-buffered saline (PBS) and wastewater, as well as on viruses naturally present in wastewater samples. The viral panel included Human adenovirus 5 (HAdV), enterovirus A71 (EV), hepatitis-A virus (HAV), influenza-A H3N2 (IAV), respiratory syncytial virus A2 (RSV), norovirus GI, norovirus GII, and SARS-CoV-2. All three methods successfully differentiated between degraded, heat-inactivated, and live viruses in PBS. While all three methods were comparable for HAdV and norovirus GI, PMAxx detected significantly lower gene copies for EV and IAV. In spiked wastewater, PMAxx yielded significantly lower gene copies for all heat-inactivated viruses (HAdV, EV, HAV, IAV, and RSV) compared to the Crosslinker and TruTiter methods. For viruses naturally present in wastewater (un-spiked), no significant difference was observed between PMAxx and TruTiter methods. Intact, potentially infectious viruses were detected using both PMAxx and TruTiter on untreated and treated wastewater samples. A comparative analysis of qPCR data and TEM images revealed that viral flocculation of IAV may interfere with capsid integrity assays using intercalating dyes. In summary, our findings not only advance the development of more effective methods for assessing viral viability in wastewater, but also highlight the potential of CI-qPCR techniques to enhance early warning systems for emerging pathogens, thereby strengthening public health preparedness and response strategies.
Wheat cultivar mixtures enhance the delivery of agroecosystem services compared to monocultures under contrasted tillage intensities and fertilization
Authors: Tous-Fandos Alba , Bragg Daniel , Blanco-Moreno José M. , Chamorro-Lorenzo Lourdes , Sans F. Xavier 
Published: January 2025

AbstractWheat cultivar mixtures provide a more complex and functional cropping system than monocultures. Their functionality may result in the delivery of agroecosystem services. However, research on cultivar mixture performance has mainly been done in controlled environments. Greenhouses and laboratory experiments do not account for environmental or agronomic factors that may influence the polyculture’s functionality. To fill this research gap, we set up a novel strip-split-block experimental design with three factors (wheat treatment, tillage, and fertilization) in a field long-term trial. We assessed the performance of the modern wheat cultivar Florence-Aurora and the traditional cultivars Xeixa (Triticum aestivum L. subsp. aestivum) and Forment (Triticum turgidum L. subsp. durum) monocultures and their mixture in providing aphid and weed control and promoting crop yield under contrasting tillage practices (moldboard ploughing vs. chisel ploughing) and fertilization (farmyard manure applied or not applied). We analyzed aphid abundance, number of aphids per tiller, parasitism rate, weed abundance and richness, and crop yield. Additionally, we examined wheat establishment, cover, phenology, and height for cultivar characterization. We observed that soil management practices affected some aspects of the cropping system. The wheat cultivars differed in their aphid susceptibility and weed suppression ability, with Florence-Aurora being less suppressant to weeds and more prone to aphid infestation. Most remarkably, our study shows for the first time that mixing wheat cultivars with distinguished traits enhances associational resistance for aphid and weed control. These benefits were specifically important under high weed infestations generated by reduced tillage. Moreover, the yield of Florence-Aurora monoculture and the mixture was found to be influenced by tillage and fertilization. Our study underscores how soil management practices impact the functionality of cultivar mixtures. This emphasizes the need for further field research to better understand the complexity of farming conditions that influence the delivery of agroecosystem services by cultivar mixtures.
Low-field nuclear magnetic resonance as an environmentally benign and energy saving analytical tool in organic laboratories
Authors: Gašparová M. , Tokárová Z. 
Published: January 2025

AbstractNuclear magnetic resonance (NMR) is of vital importance for chemical structure characterization. Over the last decade, low-field NMR spectroscopy (LF-NMR) has forced noticeable growth in chemical analysis and quality control processes. Benchtop (also known as table-top or compact) NMR instruments are small and compact, offering the benefit of being locatable on a table or in a fume-hood. Most importantly, as they employ the spectroscopic-grade permanent magnets processing at room temperature, the dependence on non-renewable natural resources (helium and nitrogen) for cryogenic cooling is avoided. Although the quality of LF-NMR never reaches the level of data provided by high-field NMR (HF-NMR) instruments, the field is indeed trending and deserves attention when taking into account the advantages of the daily use possibility of working in an environmentally benign and cost and time saving mode. Herein, we highlight LF-NMR spectroscopy as profitable analytical tool for structural determination in an organic laboratory immediately upon synthesis. The accurate characterization by 1H LF-NMR is presented on a set of compounds, 1–6, representing the products of an undergraduate laboratory course. The comparative proton LF-/ HF-NMR is presented for pharmaceuticals 7, 8 synthesized de-novo during the advanced laboratory course. Finally, the sole LF-NMR has been successfully applied for 1H and 2D (1H-1H) COSY NMR experiments for structural characterization of azomethine 7 representing a compound of our research aims.
Global drive toward net-zero emissions and sustainability via electric vehicles: an integrative critical review
Authors: Timilsina Raja Rajendra , Zhang Jingchao , Rahut Dil B , Patradool Kaewupsorn , Sonobe Tetsushi 
Published: January 2025

AbstractThe urgent need for a net-zero future necessitates a fundamental shift in the energy sector, with road transportation responsible for a substantial 37% of global energy-related CO2 emissions in 2021, emerging as a pivotal focal point in the battle against climate change. Energy consumption in the road sector is expected to surge by 1.26% with a 1% growth in urbanization, concentrated mainly in Asia and Africa by the mid-2030s. Therefore, addressing emissions from the transportation industry is paramount. Electric vehicles (EVs), coupled with a transition to renewable energy, offer a sustainable solution, yet their market share remains at a modest 10% globally and in Asia. With numerous nations committed to achieving net-zero emissions, EV adoption is on the rise, particularly in developing regions with high urbanization and Greenhouse Gas (GHG) emissions. Governments worldwide have initiated policies that provide incentives to promote EVs, but challenges like patent declines and EV battery disposal concerns persist. In this paper, we make an integrative critical review of the existing literature, conduct a SWOT analysis of EVs, and address crucial factors influencing their adoption, thereby contributing to the goal of a more sustainable future in road transportation.
Basic Considerations for the Consistency Evaluation Based on ICH E17 Guideline
Authors: Long Meihua , Wu Haiyan , Liu Xiaoni , Li Pengfei , Lin Renxin , Zhao Ziwei , Kou Xiujing , Zhu Chao , Ji Chen , Zhang Wei , Zhang Kezhou , Yu Bing , Wang Yun , Zhang Hua , Jia Fan , Hou Yan 
Published: January 2025

AbstractIn the International Council for Harmonisation (ICH) guidance on General Principles for Planning and Design of Multi-Regional Clinical Trials (E17), it is important to evaluate the consistency of treatment effect across regions in a multi-regional clinical trial (MRCT). In this paper, we elaborated on some basic considerations to evaluate consistency. We first list the design considerations, and then provide consistency evaluation and interpretation on pharmacokinetics, pharmacodynamics, efficacy, safety, and benefit-risk. Furthermore, we consider special situations including non-inferiority, multiple primary endpoints, interim analyses with delayed treatment effect, adaptive design, single-arm studies, rare diseases, and statistical methods for regional treatment effect estimate and consistency evaluation. Finally, if potential inconsistency is anticipated or observed in the MRCT, an exploratory framework is provided for further investigations. Overall, this paper elaborates on consistency evaluation in MRCT, discusses possible challenges in reality and also provides strategies and methods to overcome these challenges. This could help consensus across health authorities, industries, and academic societies, which could further facilitate consistency evaluation and MRCT implementation. Effective communication with regulatory authorities is encouraged to obtain an acceptance of a global approach.
Heterotrimeric G-proteins: multi-dimensional regulation in plant growth, development and abiotic stress responses
Authors: Guo Shiyuan , Wang Yingge , Wu Jiayan , Zhou Xiani , Gao Huiling 
Published: January 2025

AbstractHeterotrimeric G-proteins, comprising Gα, Gβ, and Gγ subunits, act as crucial molecular switches for signaling transduction in all eukaryotic organisms. Through precise modulation of specific receptors or effectors coupled with heterotrimeric G-proteins in signaling cascades, plants have the capability to activate or suppress unique signaling pathways necessary for plant growth, development, and stress responses. This review provides an overview of the heterotrimeric G-proteins signaling pathway obtained to date, and highlights novel areas for future exploration and agricultural application based on the emerging significance and potential of heterotrimeric G proteins in regulating plant development and responses to abiotic stress.
Study on the influence of Tropical Cyclone Kimi on wind speed and wave height in central and eastern Indonesian waters
Authors: Andariwan Yogi Muhammad , Ningsih Nining Sari , Kartadikaria Aditya Rakhmat 
Published: January 2025

AbstractTropical Cyclone (TC) Kimi was active from January 15 to 19, 2021 in Australian waters. TC Kimi activity does influence the atmosphere and ocean dynamics around it, including in central and eastern Indonesian waters, with the highest increase in local winds occurring in Sangihe (315.8%), Gorontalo (236.3%), Seram (236.3%) dan Manado (225.8%). On the other hand, Gorontalo experienced the highest increase of significant wave height during TC Kimi active, with 921.4% increase. In this study, we analyze wave height change in central and eastern Indonesian waters before TC Kimi was active, at the peak intensity of TC Kimi, and after TC Kimi dissipated by employing Simulating Waves Nearshore (SWAN) wave model. From spatial lagged correlation analysis between wind from TC Kimi and local winds in Indonesia, we obtained 12 locations that have positive lag and correlation, namely: Denpasar, Waingapu, Rote, Majene, Gorontalo, Manado, Sangihe, Sanana, Seram, Raja Ampat, Agats dan Merauke. From time series lagged correlation, the locations that have negative lag are Denpasar (-6 h) and Rote (-1 h), those with 0 h lag are Raja Ampat and Agats, and those with positive lag are Waingapu (+ 8 h), Majene (+ 10 h), Gorontalo (+ 14 h), Manado (+ 6 h), Sangihe (+ 15 h), Sanana (+ 7 h), Seram (+ 5 h) and Merauke (+ 6 h). Surface wind analysis during the development and early phase of TC Kimi shows wind flows from Sulawesi Sea, Maluku Sea, Halmahera Sea, and Banda Sea towards the TC Kimi system. When TC Kimi approaches its strongest intensity, there are low-pressure areas (Low) that are also active, including Low in the Philippines and in the Gulf of Carpentaria, while the wind flow towards TC Kimi appears to be disconnected. Low in the Philippines and the Gulf of Carpentaria, respectively, play a role in maintaining the high waves in the northern and southern waters of Indonesia. It indicates that TC Kimi plays a role in the initial increase of wind speed in Indonesia, which is continued by the presence of Low in their respective local areas.
Data encryption based on field effect transistors and memristors
Authors: Yang Rumeng , Hu Huiqian , Zhang Jianyuan , Wang Donghui , Huang Weiguo 
Published: January 2025

AbstractInformation security is a critical requirement across military affairs, business, and daily life. Compared to traditional encryption methods, non-volatile memory offers significant advantages for data encryption due to its high-density storage, reliability, rewrite capability, fast data transport, robust handleability, and ease of integration into electrical circuits. This review comprehensively summarizes the latest advancements in functional materials design and fabrication for data storage and encryption. It highlights innovative techniques that leverage the stimulus including optical, electrical, magnetic, and humidity properties, covering both single-stimulus and multi-stimulus synergistic effect. This review also systematically explores notable progress in the field of encryption. Future research directions will focus on developing ultra-low power devices for data encryption, implementing multiple coordinated encryption techniques, and efficiently integrating advanced devices with algorithms to meet evolving security demands. By offering insights into future trends and challenges, this review aims to deepen understanding and inspire innovative perspectives for the ongoing development of advanced encryption devices.
Economic Opportunities of Bioelectricity from Cotton Gin Waste
Authors: Fuad Syed M. , Farmer Michael C. , Adisa Abidemi 
Published: January 2025

Abstract
This work shows that direct combustion of cotton gin waste (CGW) at cotton gins can profitably generate electricity. Many bioenergy processing centres emphasise very large-scale operations, which require a large and stable bio-stock supply that is not always available. Similarly, a small biorefinery processing gin trash at a cotton gin must wrestle with the high volatility of cotton yields and price variation in cotton and electricity. Fortunately, the smaller scale allows these risks to be somewhat countervailing. Low cotton yields allow the limited gin trash available to be applied to the highest peak electricity prices in winter. Similarly, high yields with low cotton prices generate revenue from power generation throughout high winter electric prices.
To assess the profitability of an onsite power plant requires high-resolution data. We utilise hourly electricity price data from 2010 to 2021 in West Texas and obtain a small data array of 15 years of gin trash at a medium-sized gin. Prior analyses have had neither. We leverage limited CGW data to better leverage generous electricity price data by generating a Bayesian distribution for CGW. We simulate 10,000 annual CGW outcomes and electricity prices. Using engineering parameters for combustion efficiency, we show the expected internal rates of return of 19–22% for a 1 MWe and a 2 MWe plant at a small gin. Simulations then compare economic returns to the variance of those returns, which allows the analyst to present to investors a frontier of stochastic dominant return outcomes (risk-returns trade-off) for plants of different sizes at different sized gins.
China, global value chains, and the middle-income trap
Authors: Murphree Michael , Breznitz Dan 
Published: January 2025

Abstract
Whether China can avoid the middle-income trap has been the subject of extensive research. Currently classified as an upper middle-income country, China increasingly exhibits similar characteristics as countries currently experiencing the middle-income trap. However, using evidence from China’s coastal manufacturing city of Dongguan, this article shows how China’s approach to global value chain (GVC) participation created conditions for avoiding the middle-income trap: 1) agglomeration and manufacturing scale at multiple stages of production, 2) a mix of foreign and domestic enterprises, 3) participation in GVCs for multiple industries, 4) development of domestic demand, and 5) continuously reconfiguring government industrial policies. With these characteristics, China’s economy is likely to continue to grow, suggesting that GVC participation can facilitate a path around the middle-income trap.
EU rules of origin, signalling and the potential erosion of the art market through generative artificial intelligence
Authors: De Cooman Jerome 
Published: January 2025

Abstract
Generative artificial intelligence (GenAI) systems generate artwork likely to be copyrightable if made by human. In lieu of discussing whether machine-enabled artworks should be copyrighted, a question that has received a large attention in academic scholarship, this paper proposes to analyse the economic implications of GenAI. Although the valuation of their outputs is still mostly unknown, preliminary studies show that, all other things being equal, humans’ works are evaluated at a significant higher value than machine-enabled ones. Yet, to be properly valued, human-made and machine-enabled products must be distinguishable. They are not. This indistinguishability creates an asymmetry in information that in turn leads to a lemons problem, defined as a market erosion of good-quality products. Against that background, this paper proposes a solution in light of European Union rules of origin and the so-called substantial transformation test. This solution can then be used in copyright law to identify where the human author has been able to make free and creative choices (or lack thereof) required to satisfy the criterion of originality and, hence, copyrightability.