bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural and physicochemical effects on the starch quality of the high-quality wheat genotype caused by delayed sowing
Authors: Huang Xiaomei , Zhou Xin , Liu Xueqing , Zhong Wen , Wang Xinyu , Ju Zhengchun , Yin Yan , Xin Qingguo , Liu Ning , Liu Ximei , Jin Yuli , Wang Guie , Wang Jiangchun , Ma Pengtao 
Published: April 2024

BackgroundBread wheat is one of the most important food crops associated with ensuring food security and human nutritional health. The starch quality is an important index of high-quality wheat. It is affected by a complex series of factors; among which, suitable sowing time is a key factor.Aim and methodsTo analyze the integrative effects of sowing time on the starch quality of high-quality wheat, in the present study, we selected a high-quality bread wheat cultivar Jinan 17 and investigated the effect of different sowing times on the starch properties and the related genes by analyzing X-ray diffraction patterns, apparent amylose content, thermal properties, pasting properties, in vitro starch digestibility, and qRT-PCR. Meanwhile, we also investigated the agronomic and yield performance that may be associated with the starch properties.ResultsDelayed sowing had little effect on starch crystalline morphology, but there was a tendency to reduce the formation of crystals within wheat starch granules: (1) delayed sowing for 15 days altered the thermal properties of starch, including onset, peak and termination temperatures, and enthalpy changes; (2) delayed sowing for 30 days changed the thermal characteristics of starch relatively insignificant; (3) significant differences in pasting characteristics occurred: peak viscosity and hold-through viscosity increased, while final viscosity, breakdown viscosity, and setback viscosity tended to increase and then decrease, suggesting that delayed sowing caused changes in the surface of the starch granules resulting in a decrease in digestibility. Analysis of related genes showed that several key enzymes in starch biosynthesis were significantly affected by delayed sowing, leading to a reduction in apparent straight-chain starch content. In addition to starch properties, thousand-kernel weight also increased under delayed sowing conditions compared with normal sowing.ConclusionThe impact of delayed sowing on starch quality is multifaceted and complex, from the fine structure, and functional properties of the starch to the regulation of key gene expression. Our study holds significant practical value for optimizing wheat planting management and maximizing the potential in both quality and yield.
Anti-stigmatizing: a collaborative autoethnography on recovery from depression
Authors: Zhu Danlei , Lyu Keyi 
Published: April 2024

IntroductionDespite extensive research on clinical treatments for depression, there remains a significant gap in understanding of the lived experiences and recovery journeys of those with depression. This study sought to explore the recovery process through an “anti-stigmatizing” lens, emphasizing the cultural–psychological mechanisms at play and the importance of personal narratives in shaping the recovery trajectory.MethodsUsing a collaborative autoethnographic approach, this report focuses on the first author’s journey of depression recovery. This research methodology allows for an in-depth exploration of subjective experiences, with a specific emphasis on the interaction between societal stigma, personal identity, and mental-health challenges.ResultsIt is found that the depression-recovery experience can be divided into four stages from an anti-stigma perspective: (1) encountering the public stigma of emotions; (2) internalizing the stigma to a self-stigma; (3) “decriminalizing” the expected stigma of a “depressed” identity through diagnosis; and (4) being able to cope with and understanding the public stigma relating to depression when facing it again. Key factors that were found to contribute to recovery were self-awareness, community empowerment, and recognition and acceptance by close friends and family.DiscussionWe propose a reconceptualization of depression that incorporates a societal perspective on internalized stigma. Recovery from depression is not merely a medical process; it also pertains to how the patient frees themselves from public stigma. The results strongly indicate the need for a paradigm shift toward a more inclusive and empathetic approach to mental-health care, and we emphasize the importance of personal narratives in depression recovery.
Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine
Authors: López Steinmetz Lorena Cecilia , Sison Margarita , Zhumagambetov Rustam , Godoy Juan Carlos , Haufe Stefan 
Published: April 2024

IntroductionThe COVID-19 pandemic has exacerbated mental health challenges, particularly depression among college students. Detecting at-risk students early is crucial but remains challenging, particularly in developing countries. Utilizing data-driven predictive models presents a viable solution to address this pressing need.Aims1) To develop and compare machine learning (ML) models for predicting depression in Argentinean students during the pandemic. 2) To assess the performance of classification and regression models using appropriate metrics. 3) To identify key features driving depression prediction.MethodsA longitudinal dataset (N = 1492 college students) captured T1 and T2 measurements during the Argentinean COVID-19 quarantine. ML models, including linear logistic regression classifiers/ridge regression (LogReg/RR), random forest classifiers/regressors, and support vector machines/regressors (SVM/SVR), are employed. Assessed features encompass depression and anxiety scores (at T1), mental disorder/suicidal behavior history, quarantine sub-period information, sex, and age. For classification, models’ performance on test data is evaluated using Area Under the Precision-Recall Curve (AUPRC), Area Under the Receiver Operating Characteristic curve, Balanced Accuracy, F1 score, and Brier loss. For regression, R-squared (R2), Mean Absolute Error, and Mean Squared Error are assessed. Univariate analyses are conducted to assess the predictive strength of each individual feature with respect to the target variable. The performance of multi- vs univariate models is compared using the mean AUPRC score for classifiers and the R2 score for regressors.ResultsThe highest performance is achieved by SVM and LogReg (e.g., AUPRC: 0.76, 95% CI: 0.69, 0.81) and SVR and RR models (e.g., R2 for SVR and RR: 0.56, 95% CI: 0.45, 0.64 and 0.45, 0.63, respectively). Univariate models, particularly LogReg and SVM using depression (AUPRC: 0.72, 95% CI: 0.64, 0.79) or anxiety scores (AUPRC: 0.71, 95% CI: 0.64, 0.78) and RR using depression scores (R2: 0.48, 95% CI: 0.39, 0.57) exhibit performance levels close to those of the multivariate models, which include all features.DiscussionThese findings highlight the relevance of pre-existing depression and anxiety conditions in predicting depression during quarantine, underscoring their comorbidity. ML models, particularly SVM/SVR and LogReg/RR, demonstrate potential in the timely detection of at-risk students. However, further studies are needed before clinical implementation.
INSTITUTIONAL TRANSFORMATIONS IN THE DIRECTION OF INCREASING THE EFFECTIVENESS OF THE STATE POLICY OF CRITICAL INFRASTRUCTURE PROTECTION
Authors: Strahnitskyi Yaroslav 
Published: April 2024

The article analyzes modern features of state policy in the field of critical infrastructure protection. Attention is focused on the need for institutional transformations in the direction of improving efficiency, transparency, responsibility and responding to new security challenges in the conditions of a hybrid war with the Russian Federation.
The practice of protecting critical infrastructure facilities in developed countries has been studied. It was determined that its priority is the actualization of the predicate of stability of critical infrastructure objects. The content of normative and legal acts of Ukraine in this area was analyzed. A number of provisions have been identified that allow the adjustment of the domestic security doctrine to the European vector of stability.
Within the perspective of the development of the concept of sustainability, the intention of «critical infrastructure stakeholders» is substantiated. This opens up the prospects of creating transparent conditions for ensuring the annihilation of state institutions of power, state protection systems, the private sector, educational and scientific institutions and other stakeholders of critical infrastructure to the National System of Critical Infrastructure Protection at the next levels of management. The possible levels of such cooperation are determined.
Modern scientific works were analyzed, which studied the prospects of changing the paradigm of protection and stability to the paradigm of resilience. The complex of institutional transformations is proposed to be expanded due to the application within the framework of the functioning of the National Critical Infrastructure Protection System of the process of determining and analyzing the range of risks that the country faces in the spheres of critical infrastructure functioning. The transformation of institutional protection systems is considered through the prism of systemic determinants, among which physical protection and defense, cyber protection and defense, preventive measures of protection and defense, and an educational and scientific approach are highlighted.
The system of organization at the state level of conducting regular interdisciplinary trainings on the operational response to emergency situations at facilities has been studied. It is proposed to increase clarity in the delineation of responsibility for project threats and to strengthen control over compliance with the systematicity of interdisciplinary training. On the basis of the extrapolations of scientists' hypotheses and the results of the author's research, a proposal was made to systematize the main proposals for institutional transformations in the direction of increasing the effectiveness of the state policy for the protection of critical infrastructure in the form of a Preventive concept of resilience of critical infrastructure objects.
Audit committee attributes, audit quality and performance of oil and gas companies
Authors: Bako Paul Matudi 
Published: April 2024

Purpose: This study examines the audit committee attributes, audit quality, and financial performance of listed oil and gas companies in Nigeria.
Research methodology: Audit committee attributes were measured by audit committee size, audit committee independence, and audit committee financial expertise, and audit quality was measured by audit fees charged by an external auditor. Financial performance is measured in terms of earnings per share. The researcher used secondary data extracted from the ten listed oil and gas firms annual reports, and the accounts were analyzed using Panel Least Square.
Results: This study reveals a positive and statistically significant relationship between audit committee independence and earnings per share. It also shows that audit quality moderates audit committee attributes significantly and increases firm performance. This study recommends that maintaining high audit quality within the audit committee is crucial for a firm if it aims to offer increased assurance to investors and stakeholders concerning the precision and dependability of its financial statements.
Limitations: This study was limited to listed oil and gas companies in Nigeria ranging from to 2016-2022.
Contribution: This study examined factors that can moderate the relationship between audit committees and the financial performance of listed oil and gas companies in Nigeria. One such factor is audit quality, which can potentially enhance or diminish the impact of audit committee effectiveness on financial performance. No study conducted in Nigeria has examined this relationship specifically in the oil and gas sector. This knowledge gap served as the rationale for conducting this study.
Revisão Literária do Atendimento Médico à Comunidade LGBTQIAP+: Desafios e Perspectivas
Authors: Pinto Missioneiro Carlos Henrique , Fagundes Miranda Pedro Paulo , Valério Darcis João Vinícius , Hilsdorf Barbanti Samuel 
Published: April 2024

O estudo apresentado na pesquisa aborda a implementação e os desafios de políticas públicas de saúde destinadas à população LGBTQIAP+, um tema considerado urgente e de alta relevância. A criação da Política Nacional de Saúde Integral de Lésbicas, Gays, Bissexuais, Travestis e Transexuais (LGBT) representou um avanço significativo na luta pela igualdade no Brasil. No entanto, a falta de estudos e de dados específicos pode dificultar o desenvolvimento de estratégias efetivas para atender às necessidades de saúde dessa população. Estudos apontam que a discriminação por orientação sexual está associada a resultados adversos à saúde, incluindo violência e estressores psicossociais. A pesquisa realizou uma revisão da literatura da produção científica sobre o tema entre os anos 2018 e 2022, indexados nas bases Scielo, PubMed e Lilacs e utilizando descritores em ciências da saúde: “LGBT” or “gay” or “lesbian” or “transgender persons” or “homosexuality” or “bisexuality” or “sexual and gender minorities” or “gender identity” or “transsexualism”. Os resultados indicaram diversos obstáculos para a implementação de políticas públicas voltadas para a população LGBTQIAP+ no Brasil, incluindo a falta de leis de proteção de direitos, comunicação ineficaz entre o Estado e a sociedade civil, falta de alocação orçamentária para planos e programas e ausência de representação política da comunidade LGBTQIAP+. Em um momento de avanço de forças conservadoras e de desmonte de direitos, é crucial enfrentar os desafios atuais para a construção do cuidado integral em saúde, levando em consideração a diversidade sexual e de gênero e a equidade em saúde perante a constituição.
Comprehensive science mapping of STEM studies in gifted education
Authors: Gül M. Davut , Ayık Zekai 
Published: April 2024

The integration of gifted learners into STEM education has raised two key issues: providing suitable learning experiences for them and utilising their potential to contribute to the ultimate goals of STEM education. Hence, research in this area is essential for both researchers and practitioners in gifted education. The purpose of this study was to examine pertinent trends in recent years as revealed by the bibliometric analysis of published studies on STEM in gifted education. A total of 170 publications on gifted and STEM education obtained from Web of Science and Scopus databases were examined. The PRISMA model was used for data collection. RStudio was employed for data analysis. The results of the study revealed that 59 different journals, 170 articles, and 332 authors had contributed to the field of STEM in gifted education. The most frequently used keywords in research in both databases were “STEM”, “gifted students”, “gifted education”, and “talent development”. The most productive journals on STEM-related studies in gifted education were Rooper Review and Gifted Child Quarterly. The most relevant authors were C. June Maker and Paula Olszewski-Kubilius. The most productive institutions were the Northwestern University and the University of North Texas. Trending topics have evolved from gender differences to enrichment and science mathematically focused subjects, and then technology and engineering focused stem and talent development.
FULL SPEED AHEAD? Reexamining Texas's Approach to Eminent Domain
Authors: Blackmon Emma 
Published: April 2024

Property rights are traditionally held sacred in Texas. But through eminent domain, landowners lose their property rights, purportedly in service of the broader public. Sometimes, the legislature confers eminent domain power on for-profit companies. Landowners are then forced to surrender their property while the companies benefit economically. The result is that landowners are stripped of the right to fully use and enjoy their property.
The recent Texas Supreme Court case, Miles v. Texas Central Railroad & Infrastructure, Inc., demonstrates the tension between property rights and economic development created by eminent domain. Facially, Miles concerns whether a for-profit company’s high-speed rail qualifies as an interurban rail or railroad for purposes of eminent domain authority. But like many cases involving eminent domain, Miles is really about power: who has it, where it comes from, and what happens to those who do not have it. This Article functions as a starting point for reexamining how the Texas Legislature can better balance the scales between a landowner’s property rights and the economic benefits of eminent domain.
Former à un métier par l’inter‑métiers en exploitant la vidéo : analyse de l’activité de cadres de l’éducation stagiaires lors d’une alloconfrontation collective inter‑métiers
Authors: Gaudin Cyrille , Chaliès Sébastien 
Published: April 2024

En France, un dispositif expérimental de vidéoformation des cadres de l’éducation stagiaires basé sur l’alloconfrontation collective inter-métiers a été élaboré, mis en œuvre et étudié. Lors d’une alloconfrontation collective inter-métiers, un groupe de professionnels exerçant des métiers différents est confronté aux images de l’activité professionnelle de l’un des membres du groupe. Le dispositif expérimental étudié a été mis en œuvre dans le cadre du développement, par l’Institut français de l’éducation, d’une plateforme de vidéoformation destinée aux cadres de l’éducation : NéopassCadres. Ancré dans un programme de recherche sur la formation professionnelle dont les soubassements épistémologiques sont issus d’une anthropologie culturaliste, l’étude a été menée auprès des cinq cadres de l’éducation stagiaires volontaires, exerçant des métiers de direction d’établissement ou d’inspection. Pour réaliser l’étude, deux catégories de données ont été recueillies puis retranscrites verbatim et traitées : l’enregistrement vidéo de l’alloconfrontation collective inter-métiers et les entretiens d’autoconfrontation des participants. Les résultats ouvrent sur une description et une analyse de l’activité des cadres de l’éducation stagiaires engagés dans l’alloconfrontation collective inter-métiers. Sur cette base, des circonstances de formation permettant de former à un métier par l’inter-métiers en exploitant la vidéo sont délimitées.
Vencelas Dabaya : « l’homme fort » venu du Cameroun
Authors: Boli Claude 
Published: April 2024

Haltérophile originaire du Cameroun, Vencelas Dabaya a remporté le titre mondial en moins de 69 kilos en 2006 et la médaille d’argent aux Jeux olympiques de Pékin 2008. Ce pilier de l’haltérophilie française est devenu l’entraîneur national de l’équipe tricolore.
Sport et immigration dans Paris et ses banlieues
Authors: Sorez Julien 
Published: April 2024

La pratique sportive immigrée en région parisienne se développe dès la fin du XIXe siècle avec la création des premières associations sportives fondées sur une communauté d’origine, en l’occurrence britannique. Durant l’entre-deux-guerres, les vagues migratoires suivantes mobiliseront le sport comme un levier de sociabilité et d’intégration.
Multi-stage Multi-energy Flow Integrated Energy Systems of Electricity, Gas, and Heat Based on Heterogeneous Energy Flow Characteristics
Authors: Gou Qinglong , Wang Yansong , Yan Qingzeng 
Published: April 2024

INTRODUCTION: The development of integrated energy systems (IES) is of paramount significance in addressing climate change and other challenges. Ensuring the rapid and accurate calculation of energy flow states is crucial for their efficient operation. However, the difference in response time of various heterogeneous energy flows in IES will lead to the inaccuracy of the steady-state model.
OBJECTIVES: This paper proposes a model for multi-stage multi-energy flow IES of electricity, gas, and heat based on heterogeneous energy flow characteristics.
Methods: IES was divided into fast variable networks and slow variable networks, and a multi-energy flow multi-stage model was established. Suitable models were matched for different subnets at different stages to improve the calculation accuracy.
RESULTS: Selected a practical Electrical-Gas-Heat IES as a case study for simulation. Through case studies, the effectiveness and accuracy of the proposed method are demonstrated.
CONCLUSION: The multi-stage model proposed in this paper can improve the accuracy of multi-energy flow in IES.
Improvement of Efficiency of Inverters in Hydro Photovoltaic Power Station with Particle Swarm Optimization
Authors: Xue Huijie , Xiao Ning 
Published: April 2024

In the sparsely populated areas without electricity, the hydro photovoltaic power station is a feasible solution for electricity supply. The strategy of distributing the power among the inverters is critical to the efficiency of them. The conventional distributing strategies result in low efficiency of the inverters. In order to improve the efficiency, this paper analysed the loss and efficiency characteristics of the inverter and expressed the power distributing problem as an optimal control problem minimizing the total loss for the inverters. The optimal control problem was solved with particle swarm optimization and the efficiency optimum power distribution strategies in three operation scenarios were obtained. The quantitative analysis method was adopted to evaluate the effect of the efficiency optimum power distribution strategies. The total efficiency of the inverters with the optimal strategies and the conventional strategies were calculated respectively. The optimal distribution strategies were compared quantitatively with conventional power distribution strategies on the basis of the efficiency. The results demonstrated the validity of the strategies obtained in this paper in improving the total efficiency of the inverters.
Background music monitoring framework and dataset for TV broadcast audio
Authors: Kim Hyemi , Kim Junghyun , Park Jihyun , Kim Seongwoo , Park Chanjin , Yoo Wonyoung 
Published: April 2024

AbstractMusic identification is widely regarded as a solved problem for music searching in quiet environments, but its performance tends to degrade in TV broadcast audio owing to the presence of dialogue or sound effects. In addition, constructing an accurate dataset for measuring the performance of background music monitoring in TV broadcast audio is challenging. We propose a framework for monitoring background music by automatic identification and introduce a background music cue sheet. The framework comprises three main components: music identification, music–speech separation, and music detection. In addition, we introduce the Cue‐K‐Drama dataset, which includes reference songs, audio tracks from 60 episodes of five Korean TV drama series, and corresponding cue sheets that provide the start and end timestamps of background music. Experimental results on the constructed and existing datasets demonstrate that the proposed framework, which incorporates music identification with music–speech separation and music detection, effectively enhances TV broadcast audio monitoring.