bluuebunny/crossref_metadata_2025_split huggingface dataset:
Random forest regression to predict Farinograph traits from GlutoPeak output in wheat wild relative backcross lines
Authors: Price John H. , Guttieri Mary J. , Stutz Sydney 
Published: January 2025

AbstractBackground and ObjectivesFlour quality is a key target of hard winter wheat breeding. The Farinograph is important for assessing quality before cultivar release in the United States, but large sample size requirements and long test times render it impractical for early‐stage selection relative to the GlutoPeak. To improve GlutoPeak utility for breeding, we calculated new parameters from device raw output and used random forest regression to predict key Farinograph parameters in a winter wheat population containing wild relative introgressions.FindingsThe key quality parameters of absorption, bake absorption, tolerance stability, and mixing tolerance index were moderately well predicted (R2 ranging from 0.488 to 0.745). Classification of samples as acceptable or unacceptable for mixing tolerance index and tolerance stability was more accurate than prediction of numeric values.ConclusionsNew features calculated from the GlutoPeak raw data were useful predictors of quality. Prediction accuracies are sufficient to improve breeding populations.Significance and NoveltyThis study is the first to use wheat wild relative introgressions in GlutoPeak Farinograph prediction, the first to generate features from raw data, and is one of the few random forest models for quality prediction. The tools that we provide will improve ability to cull poor‐quality lines early in the breeding pipeline can support efficient wheat cultivar development.
Exploration of the High‐Capacity Tetrahydroxybenzene Materials for Organic Batteries
Authors: Pirnat Klemen , Javornik Uroš , Casado Nerea , Ballard Nicholas , Santos Jose Ignacio , Mecerreyes David , Dominko Robert 
Published: January 2025

AbstractPolyphenol or multihydroxybenzene compounds show great potential as electrode material for organic batteries. Among them, 1,2,3,4‐tetrahydroxybenezene is the best candidate as a high‐specific capacity material due to its potential to exchange up to four electrons. To further corroborate this, we synthesized a model compound and carry out electrochemical characterization. Quasi‐reversible redox behavior, similar to other hydroxybenzene materials, was obtained in an acidic aqueous electrolyte. The four electron exchange was further confirmed by using reduced and oxidized model compounds, which showed comparable electrochemical behavior. Additionally, we prepared insoluble nano sized polymer based on poly(2,3,4,5‐tetrahydroxystyrene) which was used as a cathode material in an organic battery. Initial results suggested that these tetrahyroxybenzene polymers are very promising for proton batteries in acidic aqueous electrolytes, whereas their performance in lithium batteries is limited.
Sustainability Committee, External Assurance, and ESG Performance: Empirical Evidence From Banking Industry in Emerging Economies
Authors: Tumewang Yunice Karina , Almarayeh Taha , Alharasis Esraa 
Published: January 2025

ABSTRACTDriven by the escalating interests on environmental, social, and governance (ESG) issues, we investigate the impact of internal and external governance mechanisms, specifically board sustainability committee (SC) and external assurance (EA), on banks' ESG performance. This study utilized panel dataset of 643 bank‐year observations from 34 Islamic banks (IBs) and 77 conventional banks (CBs) across 12 emerging countries between 2013 and 2023. Sensitivity analyses and GMM regression are also conducted for robustness checks against the baseline model. This study reveals that firms with SC on their boards exhibit significantly higher ESG performance. Furthermore, the results show a positive relationship between EA and enhanced ESG performance. Interestingly, the effects of SC and EA on ESG performance is more pronounced in IBs than in CBs.
Linking Top Management Commitment and Circular Practice Through Human Resource Perspective: Do Diversity, Equity, and Inclusion (DEI) Make a Difference in Sustainability?
Authors: Li Yuanling , Zhang Yu , Appolloni Andrea , Liu Junqi 
Published: January 2025

ABSTRACTBased on the natural, social resource‐based view, stakeholder theory, and complementary principles of justice, this study aimed to reveal the influence mechanism between top management circular commitment (TMCC) and circular economy practices (CEPs) through the perspective of human resource management (HRM) and diversity, equity, and inclusion (DEI). We have highlighted the role of the interplay between circular economy human resource management (CE‐HRM) and DEI culture for the implementation of CEPs. We collected questionnaire data through surveys in Sichuan and Chongqing, China, and analyzed the hypotheses and conceptual model using structural equation modeling. We found that: (1). TMCC can positively influence CEPs. (2). TMCC can indirectly influence CEPs through CE‐HRM, in which CE‐HRM acts as partial mediation. (3). Diversity and inclusion culture, including labor law protection groups and the rainbow (LGBTQ+) group, shows significant moderating effects between TMCC and CE‐HRM. Equity culture demonstrates significant moderating effects between CE‐HRM and CEPs. This study not only delved into CE‐HRM; it also incorporated DEI in CEPs for the first time. It provides new insights, supports complementary principles of justice for the interdependence between social and environmental sustainability, and breaks through the dearth of the Chinese context for DEI and LGBTQ+ research.
The Co‐Occurrence of Autism and Avoidant/Restrictive Food Intake Disorder (ARFID): A Prevalence‐Based Meta‐Analysis
Authors: Sader Michelle , Weston Annabel , Buchan Kyle , Kerr‐Gaffney Jess , Gillespie‐Smith Karri , Sharpe Helen , Duffy Fiona 
Published: January 2025

ABSTRACTObjectiveAvoidant/restrictive food intake disorder (ARFID) is a feeding and eating disorder characterized by extensive avoidance and/or restriction of food. Existing research demonstrates that ARFID is over‐represented in Autistic populations and vice‐versa, with both groups exhibiting shared characteristics. This meta‐analysis investigated the co‐occurrence between ARFID and autism via determination of autism prevalence in ARFID populations, and ARFID prevalence in Autistic groups.MethodThis review systematically identified literature evaluating those with ARFID and Autistic individuals. Literature was searched for using SCOPUS, MEDLINE, and Web of Science. Selected publications included Autistic individuals and those with ARFID who either received a formal diagnosis of autism and/or ARFID or met clinical threshold cut‐off scores on validated autism and/or ARFID questionnaires. Prevalence was reported in proportion‐based values alongside 95% confidence intervals (CIs).ResultsThis meta‐analysis identified 21 studies (kARFID = 18 papers; kAutism = 3 papers) comprising of n = 7442 participants (nARFID = 1708; nAutism = 5734). Prevalence of autism diagnoses was 16.27% in those with ARFID (95% CI = 8.64%–28.53%), and ARFID prevalence in Autistic groups was 11.41% (95% CI = 2.89%–35.76%). Gender and ethnicity served as significant sources of heterogeneity in ARFID papers. There was insufficient data to provide comparator values or prevalence across study population and distinct underpinning drivers of ARFID.DiscussionMeta‐analytic findings highlight significant rates of co‐occurrence between autism and ARFID, suggesting that in clinical settings, it may be beneficial to consider screening Autistic individuals for ARFID and vice‐versa. Future research should further investigate co‐occurrence across ARFID profiles, gender, and ethnicity.
Nanoflower MnxNi2−xP as efficient bifunctional catalyst for hydrogen production with urea‐assisted energy‐saving in alkaline freshwater and seawater
Authors: Song Min , Yang Xue , Guo Chenyang , Zhang Shuo , Ma Junwei , Gao Hongtao 
Published: January 2025

AbstractTo achieve efficient and stable hydrogen production while addressing the corrosive effects of seawater on electrodes, integrating the energy‐saving urea oxidation reaction (UOR) with the hydrogen evolution reaction (HER) presents a promising low‐energy solution. However, developing low‐cost, high‐performance bifunctional electrocatalysts for both HER and UOR remains a significant challenge. In this work, we prepared bifunctional electrocatalysts featuring MnxNi2−xP nanoflower structures grown on nickel foam using a simple hydrothermal phosphatization method. These catalysts demonstrated excellent performance in alkaline freshwater and seawater, with notably low overpotentials of 251 and 257 mV for HER, and 1.33 and 1.37 V for UOR. Combining its bifunctional activity in UOR and HER in a two‐electrode system, an energy saving of 0.19 V potential compared to water electrolysis through water oxidation can be acquired to reach 100 mA cm−2 current density. Moreover, the catalyst also maintains fairly stable after long‐term testing, indicating its potential for efficient and energy‐saving hydrogen production. Our study reveals that the synergistic interaction between Ni and Mn metals enhances the electronic structure of the electrocatalysts, significantly boosting both UOR and HER activities. Additionally, Mn doping alters the morphological structure, creating nanoflowers with abundant active sites, while nickel‐iron phosphides improve the catalyst's corrosion resistance in seawater. This work provides valuable insights into the design of low‐cost, stable non‐precious metal electrocatalysts for seawater and freshwater splitting, combining hydrogen evolution with urea‐assisted energy‐saving.
Policing Corruption or Corrupted Policing? Social Norms and Policing in Ghana
Authors: D'Emidio Riccardo 
Published: January 2025

ABSTRACTThis article is a qualitative study of the relationship between social norms and corrupt behaviour in the Ghana Police Service. Although there is a growing body of literature exploring this nexus in very different settings, relatively less attention has been given to understanding the extent of the normative influence of social norms over corrupt behaviour. Social norms do not operate in a vacuum; therefore, to better understand their normative influence, it is critical to have analytical clarity of the broader social, economic and political settings in which they unfold. In order to so, this article deploys and adapts a set of analytical tools developed by Ben Cislaghi and Lori Heise, namely, the ‘dynamic framework for social change’ and the ‘theory of normative spectrum’ to map the different factors shaping corrupt behaviour and their interaction with relevant social norms. The data used for this analysis consist in 43 in person interviews with police officers and other anti‐corruption stakeholders, collected in different rounds using semi‐structured interviews and textual vignettes as eliciting tools. The findings of this research suggest that behavioural elements of sociality appear to be regulated by different enabling factors, which can impact the salience of the norm at play.
Hibiscus sidiformis Baill. (Magnoliopsida: Malvales: Malvaceae): A New Addition to the Flora of India
Authors: Sumra Kazbanu , Prajapati Kishan , Bhatt Chintan , Mehta Paurav 
Published: January 2025

ABSTRACTIn the present communication, Hibiscus sidiformis Baill. is reported as a new record for India from the arid region of Kachchh district, Gujarat state. The newly reported species shows a close similarity with the resembling resident species Hibiscus lobatus (Murray) Kuntze. A detailed taxonomic description with the palynological comparison is provided for the first time. The extension in the native range of H. sidiformis from Africa to Asia is proposed.
Single‐Cell RNA Sequencing Uncovers Molecular Features Underlying the Disrupted Neurogenesis Following Traumatic Brain Injury
Authors: Liu Cong , Shao Fang‐Hong , He Xuan‐Cheng , Du Hong‐Zhen , Liu Chang‐Mei , Zhou Bing , Teng Zhao‐Qian 
Published: January 2025

ABSTRACTTraumatic brain injury (TBI) is a leading cause of death and disability worldwide, with limited effective treatment strategies. Endogenous neural stem cells (NSCs) give rise to neurons and glial cells throughout life. However, NSCs are more likely to differentiate into glial cells rather than neurons at the lesion site after TBI and the underlying molecular mechanism remains largely unknown. Here, we performed large‐scale single‐cell transcriptome sequencing of subventricular zone (SVZ) NSCs and NSCs‐derived cells in the mouse brain, and provide molecular evidence for previous observations that glial differentiation of NSCs prevails after TBI. In addition, we show that the disrupted neurogenesis following TBI is caused by the reduction of a NSC subcluster (NSC‐4) expressing the neuronal gene Tubb3. Finally, we demonstrate that the transcriptional factor Dlx2 is significantly downregulated in NSC‐4, and Dlx2 overexpression is sufficient to drive NSCs towards neuronal lineage differentiation at the expense of astrocytic lineage differentiation under pro‐inflammatory conditions.
Recent advances in low‐background luminescent nanomaterials‐enhanced lateral flow assays for clinical diagnosis
Authors: Hao Liangwen , Chen Jing , Li Quanshuang , Zhang Dongyu , Huang Qingli , Zhang Hao , Li Shibao 
Published: January 2025

AbstractLateral flow assays (LFAs) are widely applicable in clinical point‐of‐care testing (POCT) due to their unique advantages such as simplicity, rapidity, and cost‐effectiveness. However, their sensitivity is often constrained by the background autofluorescence of the biological sample, the self‐matrix, or the readout technique, thereby leading to overlooking trace amounts of biomarkers present in early disease. In recent years, various nanomaterials‐based methods have been developed to address this issue, including the time‐gated technique, wavelength‐differentiated strategy and external modulated strategy for separation of background autofluorescence to minimize interference from biological samples. This review provides a comprehensive overview of various low‐background luminescent nanoparticles (LBLNPs)‐enhanced LFA systems, focusing on analyzing the underlying mechanism of these nanomaterials in improving the sensitivity and accuracy of the LFAs platform in clinical diagnosis. Representative examples are selected to demonstrate the clinical potential of these nanomaterials in detecting disease‐associated biomarkers in various samples including blood, urine, saliva et al. Finally, unresolved challenges and future development prospects are briefly discussed.
Mueller‐Matrix Interferometric Multifractal Scaling of Optically Anisotropic Architectonics of Diffuse Blood Facies: Fundamental and Applied Aspects
Authors: Ushenko Yurii , Ushenko Alexander , Dubolazov Alexander , Soltys Iryna , Litvinenko Olexandra , Wanchuliak Oleh , Sarkisova Yulia , Mikirin Ivan , Salega Olexander , Zheng Jun , Bin Lin 
Published: January 2025

ABSTRACTThe article describes a technique for digital holographic reconstruction of complex amplitude fields in diffuse blood facies using laser polarization‐interference phase scanning to isolate a single scattered component of the object field. This method serves as the basis for developing algorithms for Mueller‐matrix reconstruction of linear and circular birefringence parameters in the polycrystalline architectonics of blood facies. Statistical (central moments of the 1st–4th orders) and multifractal analyses (fractal dimension spectra) are applied to study the optical anisotropy maps of polycrystalline networks during blood dehydration. The study explores a practical application in the differential diagnosis of blood loss volume, identifying higher‐order central moments (skewness, kurtosis) as sensitive markers. The method achieved a maximum accuracy of 92.9% in differentiating blood loss volume.
Weak Rainbow Saturation Numbers of Graphs
Authors: Li Xihe , Ma Jie , Xie Tianying 
Published: January 2025

ABSTRACTFor a fixed graph , we say that an edge‐colored graph is weakly ‐rainbow saturated if there exists an ordering of such that, for any list of pairwise distinct colors from , the nonedges in color can be added to , one at a time, so that every added edge creates a new rainbow copy of . The weak rainbow saturation number of , denoted by , is the minimum number of edges in a weakly ‐rainbow saturated graph on vertices. In this paper, we show that for any nonempty graph , the limit exists. This answers a question of Behague et al. We also provide lower and upper bounds on this limit, and in particular, we show that this limit is nonzero if and only if contains no pendant edges.
A Variant of the Teufl‐Wagner Formula and Applications
Authors: Li Danyi , Yan Weigen 
Published: January 2025

ABSTRACTLet and be two electrically equivalent edge‐weighted connected graphs with respect to (hence ). Let be a forest in . Denote by the sum of weights of spanning trees of and by the sum of weights of spanning trees each of which containing all edges in , where the weight of a subgraph of is the product of weights of edges in . Suppose that is the edge‐weighted graph obtained from by identifying all vertices in of into a new vertex for . In this paper, we obtain a variant of the Teufl‐Wagner formula (Linear Alg Appl, 432 (2010), 441–457) and prove that . As applications, we enumerate spanning trees of some graphs containing all edges in a given forest and give a simple proof of Moon's formula (Mathematika, 11 (1964), 95–98) and the Dong‐Ge formula (J Graph Theory, 101 (2022), 79–94). In particular, we count spanning trees with a perfect matching in some graphs.
Forty‐seventh ASPEN Presidential Address: Parenteral nutrition compounding—Advancement or regression, where do we stand?
Authors: Ayers Phil 
Published: January 2025

AbstractParenteral nutrition (PN), a high‐alert medication, is an important lifesaving modality. The American Society for Parenteral and Enteral Nutrition (ASPEN) has historically provided guidelines and recommendations for the safe and efficacious use of PN. These recommendations have included detailed guidance regarding the compounding of this highly complex medication. Compounding standards have been recently updated, and PN is no longer listed in a dedicated category in the United States Pharmacopeia General Chapter <797>. Along with this change, the use of commercially available multichamber PN bags has increased in the United States. I will discuss PN from a historical perspective, review the state of compounding, and discuss concerns regarding the safe use of PN.
Staunch Defender of COP27: A 20‐Year Journey of Land Revegetation Projects in China
Authors: Peng Xiangbin , Xu Dong , Bai Tingting , Li Junjie , Zhu Kai 
Published: January 2025

ABSTRACTIn response to the risks posed by urbanization and climate change to land availability, China has implemented several significant land cover restoration initiatives since 1998. These initiatives have notably contributed to the objectives of the 27th Conference of the Parties to the United Nations Framework Convention on Climate Change (COP27). However, a systematic evaluation of the ecological restoration effects on vegetation from these initiatives has been lacking. This study utilized NDVI, NPP, and TerraClimate data to comprehensively assess the spatial and temporal variations in the Vegetation Ecological Quality Index (VEQI) across China and analyze its response to land cover restoration initiatives. The analysis, spanning from 2002 to 2022, utilized various remote sensing data sources and geostatistical techniques, including the Hurst index, multiple regression residual analysis, and meta‐scale Theil–Sen median trend analysis. The results indicate a consistent increase in China's VEQI over the past 20 years. Notably, the Natural Forest Resources Protection Project and the Beijing–Tianjin Wind and Sand Source Comprehensive Control Project have played crucial roles in land cover restoration efforts. Nationally, the interaction between human activities and climate change has emerged as a dominant factor, affecting approximately 56.8% of China's land area. Additionally, our projections indicate a varied future for China's VEQI trends. While areas with increasing VEQI account for about 70.66% of the total land area, regions with decreasing trends or transitioning from a decrease to increase represent 29.34%. Based on the study's findings, we recommend the development of tailored ecological restoration strategies aligned with regional VEQI trends and the enhancement of ecological balance initiatives amidst urbanization to address declining vegetation ecological quality. These insights highlight the complex relationship between land cover restoration and climate change in the context of COP27, providing valuable guidance for advancing sustainable development goals and future ecological protection initiatives.
Adaptive Structured‐Light 3D Surface Imaging with Cross‐Domain Learning
Authors: Li Xinsheng , Feng Shijie , Chen Wenwu , Jin Ziheng , Chen Qian , Zuo Chao 
Published: January 2025

AbstractThe rapid development of artificial intelligence (AI) technology is leading a paradigm shift in optical metrology, from physics‐ and knowledge‐based modeling to data‐driven learning. In particular, the integration of structured‐light techniques with deep learning has garnered widespread attention and achieved significant success due to its capability to enable single‐frame, high‐speed, and high‐accuracy 3D surface imaging. However, most algorithms based on deep neural networks (DNNs) face a critical challenge: they assume the training and test data are independent and identically distributed, leading to performance degradation when applied across different image domains, especially when test images are acquired from unseen systems and environments. A cross‐domain learning framework for adaptive structured‐light 3D imaging is proposed to address this challenge. This framework's adaptability is enhanced by a novel mixture‐of‐experts (MoE) architecture, capable of dynamically synthesizing a network by integrating contributions from multiple expert DNNs. Experimental results demonstrate the method exhibits superior generalization performance across diverse systems and environments over both “specialist” DNNs developed for fixed domains and “generalist” DNNs trained by brute‐force approaches. This work offers fresh insights into substantially enhancing the generalization of deep‐learning‐based structured‐light 3D imaging and advances the development of versatile, robust AI‐driven optical metrology techniques.
Poromechanical Solution for One‐Dimensional Large Strain Consolidation of Modified Cam‐Clay Soil
Authors: Chen Sheng‐Li , Yu Hai‐Sui , Abousleiman Younane N. , Kees Christopher E. 
Published: January 2025

ABSTRACTA theoretical model describing the one‐dimensional large strain consolidation of the modified Cam‐Clay soil is presented in this paper. The model is based on the Lagrangian formulation and is capable of featuring the variability of soil compressibility (inherently due to the direct incorporation of the specific Cam‐Clay plasticity model) and permeability, as well as the impact of the overconsolidation ratio (OCR). The derivation starts from the establishment of the incremental stress–strain relations for both purely elastic and elastoplastic deformations under one‐dimensional compression conditions, and thereafter the coefficients of compressibility/volume change that are essential to the consolidation analysis. The governing partial differential equation is then neatly deduced in conjunction with the continuity and equilibrium conditions for the soil, with the vertical effective stress being the privileged unknown to be solved for. Subsequently, a semi‐analytical solution to the developed rigorous poroelastoplastic large strain consolidation model is obtained and verified with the ABAQUS finite element numerical results. Parametric analyses are finally provided to investigate in detail the influences of the soil overconsolidation ratio, large strain configuration, and the variability of the soil permeability on the calculated one‐dimensional consolidation response.