Bridging credit gaps for sustainable agriculture: The role of rural savings and credit cooperatives among smallholder farmers by Gershom Endelani Mwalupaso, Shangao Wang, Xianhui Geng, Shadrack Kipkogei

“…To address this knowledge gap, we employ a recursive bivariate probit (RBP) and propensity score matching (PSM) analysis using data from 400 randomly selected smallholder farmers in Zambia. …”
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Modulation of neural activity and gene expression by arecoline by Xiaonan Li, Jie Gao, Xiaomin Liu, Jianfeng Guo, Yifan Liu, Peicai Cui, Dawei Yan, Ting Fei, Ming Chen, Yihan Gao

“…Neuroimaging and calcium signaling data revealed region-specific alterations in neural activity, particularly in areas associated with learning, memory, and reward processing. …”
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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

“…Traditional econometric models and machine learning approaches often struggle with non-stationary data and uncertainty quantification, while existing Gaussian process applications in agricultural markets remain underexplored. …”
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An explainable AI-driven transformer model for spoofing attack detection in Internet of Medical Things (IoMT) networks by Mohammad A. Alsharaiah, Mohammed Amin Almaiah, Rami Shehab, Mansour Obeidat, Fuad Ali El-Qirem, Theyazn Aldhyani

“…To address this challenge, we propose a novel Transformer-based deep learning framework designed for the effective detection of spoofing attacks. …”
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The direct method and multilingual turn in teaching Japanese as a foreign language by Olha Luchenko, Karina Kovinko

“…The survey included both closed and open-ended questions to gather quantitative and qualitative insights on teachers’ perceptions of the direct method. Statistical analysis involved descriptive statistics for closed question responses and qualitative content analysis for open-ended answers, identifying recurring themes. …”
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A Comprehensive Overview of the Development and Research of Energy Savings of Electric Wheel Loader by Xiaotao Fei, Zuo Cheng, Shaw Voon Wong, Muhammad Amin Azman, Dawei Wang, Xiuxian Zhang, Qiuchen Shao, Qingqiu Lin

“…The analysis reveals that integrating optimal control strategies with machine learning algorithms—such as model predictive control (MPC)—is a critical pathway to achieving energy-efficient and assisted driving in next-generation EWLs. …”
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The impact of digital literacy on individual health: a perspective based on fitness exercise by Hao Li, Hao Li, Zihan Yang, Zihan Yang, Jiao Li, Jiao Li

“…This study explored the mechanisms by which digital literacy influenced individuals’ engagement in fitness exercise and their subsequent health status.MethodsUsing longitudinal data from the China Family Panel Studies (CFPS) for 2018, 2020, and 2022, we conducted empirical analysis on the effects and pathways through which digital literacy impacted fitness exercise behavior and health. …”
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KONSENTRASI PARTAI POLITIK DAN OPINI LAPORAN KEUANGAN DAERAH: KEGAGALAN RESEP ATAU SUBSTANSI? by Salamah Wahyuni

“…First, the incident of learning factor seems to exist on political party. …”
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Construction of gas content model based on KPCA-SVR for Southern Sichuan shale gas by Zhong-yuan Liu, Di-Quan Li, Jing Jia, Yun-Qi Zhu, Zhong-Le Wang, Xue-Song Xie

“…A cross-analysis of various parameters identified POR, TOC, U, ρ, PERM, and DEN as key factors influencing Vg. …”
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Determination of the area index of lettuce leaves with a monocular camera by Laimonas Kairiūkštis, Başak Yalçıner, Emre Özkul

“…This study showcases the potential of computer vision and machine learning algorithms in transforming traditional agricultural practices into more efficient and data-driven processes. …”
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Creative performance in an educational robotics competition by Suellen Cristina Rodrigues Kotz, Asdrúbal Borges Formiga Sobrinho, Gabriel de Oliveira Jorge, Marina Silva Bicalho Rodrigues

“…Specifically, the study sought to analyze creativity using secondary data from evaluations conducted by judges after a robotics competition. …”
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The dynamic capabilities of county-level government in China during the outbreak of large-scale epidemics: a study based on three cases by Changwei Wei, Juan Wang, Huangyue Wu, Zuying Xu, Jiahao Zhang

“…The dynamic capacity of county-level government largely determines the effectiveness of dealing with large-scale epidemics.MethodsThis study selected three counties with a large-scale outbreak of COVID-19 in 2022 as samples for multi-case analysis, and used insight ability, integration ability, learning ability and innovation ability as dimensions for comparative analysis. …”
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In their own words: older persons’ experiences of participating in co-creation by Annikki Arola, Marlene Sandlund, Magdalena Eriksson Domellöf, Morag E. Taylor, Annika Toots

“…Results Three themes emerged from the analysis: Diversity of co-creators enriches understanding and creativity, Interactive activities promote learning, and Supportive environments enhance collaboration. …”
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Improving lung cancer pathological hyperspectral diagnosis through cell-level annotation refinement by Zhiliang Yan, Haosong Huang, Rongmei Geng, Jingang Zhang, Yu Chen, Yunfeng Nie

“…This study aims to enhance hyperspectral pathological image analysis by refining annotations at the cell level and creating a high-quality hyperspectral dataset of lung tumors. …”
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Neural Correlates of Flight Acceleration in Pigeons: Gamma-Band Activity and Local Functional Network Dynamics in the AId Region by Suchen Li, Zhuo Tang, Mengmeng Li, Lifang Yang, Zhigang Shang

“…To address this, we conducted outdoor free-flight experiments in homing pigeons, during which GPS data, flight posture, and eight-channel local field potentials (LFPs) were synchronously recorded. …”
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How Clinician-Scientists Access and Mobilise Social Capital and Thus Contribute to the Professional Development of Their Colleagues in Their Networks by Esther de Groot, Jasperina Brouwer, Yvette Baggen, Nienke Moolenaar, Manon Kluijtmans, Roger Damoiseaux

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Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions by Mohamad Alkhalidi, Abdullah Al-Dabbous, Shoug Al-Dabbous, Dalal Alzaid

“…Accurate wind speed and direction data are vital for coastal engineering, renewable energy, and climate resilience, particularly in regions with sparse observational datasets. …”
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How Do Executives’ Overseas Experiences Reshape Corporate Climate Risk Disclosure in Emerging Countries? Evidence from China’s Listed Firms by Xiaolei Zou, Wangtong Li, Wenzhe Wu, Alistair Hunt, Haoyang Lu

“…To measure firm-level climate risk disclosure, we employ machine learning-based textual analysis techniques and match the constructed disclosure indicators with firms’ financial data. …”
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Exploring contextual factors for management and prevention of running-related injuries: runners and experts’ perspectives by Caroline Bolling, Manuela Besomi, Sonia Roa-Alcaino, Ángela Lombardi, Rocío Vélez-Rivera, Jaime Leppe Zamora

“…This qualitative study aimed to explore the perspectives of runners and experts regarding injury perception, management and prevention, as well as the contextual influence of these processes. Using a secondary data analysis approach, this study drew from qualitative semistructured interviews with Chilean runners (n=15) and running experts (n=6). …”
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A Responsive Eswatini Secondary Schools Curriculum: What, How and Why Are We Teaching? by Dumisa C. Mabuza, Molyn M. Mpofu, Makhulu A. Makumane

“…The study used teachers in science, agriculture and consumer sciences (n=12). Data was analysed using framework analysis. The study’s findings reveal a misalignment between the Eswatini curriculum, the evolving needs of the nation and global standards. …”
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