Transparent and Privacy-Preserving Mobile Crowd-Sensing System with Truth Discovery by Ruijuan Jia, Juan Ma, Ziyin You, Mingyue Zhang

“…They collect and analyze the provided sensing data through an appropriate truth discovery (TD) method to identify valuable data sets. However, existing privacy-preserving MCS systems lack transparency, enabling data aggregators to deviate from the specified protocols and allowing malicious users to provide false or invalid sensing data, thereby contaminating the resulting data sets. …”
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An Improved PSO-Based DC Discharge Heating Strategy for Lithium-Ion Batteries at Low Temperatures by Shaojian Han, Chengwei Li, Jifeng Ding, Xinhua Gao, Xiaojie Li, Zhiwen Zhang

“…This strategy addresses the limitations of traditional heating methods, providing a novel solution for the efficient application of lithium-ion batteries in low-temperature environments.…”
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Reconciling fiscal decentralization, environmental protection expenditures, and stringent regulations with the ecological priorities of the European Union by Elma Satrovic, Oluwatoyin Abidemi Somoye, Banji Rildwan Olaleye, Joseph Nembo Lekunze

“…In addition, import diversification also spurs environmental sustainability, with more substantial impacts on less energy and carbon–efficient nations. Furthermore, the MMQR outcomes divulged that fiscal decentralization (all indicators) endorsed the environmental deterioration of EU members, undermining the achievement of ecological urgencies. …”
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Research on pedestrian detection technology for mining unmanned vehicles by ZHOU Libing, YU Zhengqian, WEI Jianjian, JIANG Xueli, YE Baisong, ZHAO Yexin, YANG Siliang

“…The working environment of mining unmanned vehicles features complex lighting conditions, leading to frequent occurrences of missed detections in pedestrian detection, which undermines the reliability and safety of these vehicles. …”
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Prospects and Challenges of Green Practices Adoption by Manufacturing Companies in Ogun State, Nigeria by SOLAJA Oludele Mayowa

“…The quantitative data were analyzed using descriptive statistical method while the qualitative data were analyzed using qualitative content analysis. …”
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MRP-YOLO: An Improved YOLOv8 Algorithm for Steel Surface Defects by Shuxian Zhu, Yajie Zhou

“…As the accuracy of the algorithm increases, its complexity also rises, resulting in a decrease in detection speed, which undermines its practicality. This issue is particularly evident in the context of surface defect detection in industrial parts, where low contrast, small target features, difficult feature extraction, and low real-time detection efficiency are prominent challenges. …”
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Design, Construction, and Evaluation of an Automatic Feeder Control System for Sugarcane Billet Planters by B. Abbasian, M. E. Khorasani Ferdavani, H. Zaki Dizaji

“…The load cell control method emerged as the most effective solution, successfully eliminating the need for operators while ensuring high standards of planting quality and efficiency. …”
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Factors that influence recruitment to COVID-19 vaccine trials: a qualitative evidence synthesis by Linda Biesty, Sarah Sheehan, Pauline Meskell, Maura Dowling, Claire Glenton, Sasha Shepperd, Xin Hui S. Chan, Rebecca Cox, Declan Devane, Andrew Booth, Catherine Houghton

“…These adaptive methods allow for modifications to the trial procedures without undermining the trial’s integrity, making the research process more flexible and efficient. …”
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The long-run anthropogenic incidence on climate change, air pollution, water scarcity, and contribution to global warming in Morocco by Hamdi El Asli, Mohamed Azeroual

“…CC affects everyday life, with 86% of Moroccan respondents indicating its impact (more details in Introduction). Methods: By setting four different pieces of emiprical evidence, to test the annual fluctuations of the same STIRPAT determinants on, CC through CO2 emissions, Atmospheric pollution by GHGs emissions, freshwater scarcity via internal freshwater whithdrawals and the share of Morocco’s contribution to global warming (CGW), from 1965 to 2023, with the ARDL, DOLS, FMOLS and CCR cointegration approaches. …”
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Edge-Assisted Label-Flipping Attack Detection in Federated Learning by Nourah S. AlOtaibi, Muhamad Felemban, Sajjad Mahmood

“…In LFA, malicious clients deliberately mislabel local data, causing the global model to misclassify certain classes, thus undermining its integrity. Although centralized detection methods have been explored, there is a notable gap in addressing LFA within the decentralized Client-Edge-Cloud architecture, which is crucial for FL systems. …”
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Influence of Dynamic Magnetic Field Exposure Duration on the Germination and Growth of Khao Dawk Mali 105 Rice Seed by Tiwanat Gaewsondee, Cherdpong Chiawchanwattana, Phirayot Khaengkan, Juckamas Laohavanich, Chanat Vipattanaporn, Suphan Yangyuen

“…Magnetic field (MF) priming provides a chemical-free alternative to conventional methods; however, static exposure approaches are often limited by spatial heterogeneity in field–seed interaction caused by fixed seed positioning, undermining both treatment uniformity and reproducibility. …”
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SlimPort: Port-Driven High-Level Synthesis for Continuous-Flow Microfluidic Biochips by Youlin Pan, Yanbo Xu, Ziyang Chen, Xing Huang, Genggeng Liu

“…High-level synthesis, as an important stage in the design flow of CFMBs, generates binding and scheduling solutions whose quality directly affects the efficiency of the execution of bioassays. Existing high-level synthesis methods perform numerous transport tasks concurrently to increase efficiency. …”
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Optimizing forest stand aggregation in fragmented stands using graph convolutional networks: A case study in Japan by YangYu You, Hyun Bae Kim, Takuyuki Yoshioka

“…Japan’s forest sector faces persistent challenges due to fragmented land ownership and an increasingly skewed age-class structure, undermining not only management efficiency but also economic viability and long-term sustainability. …”
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Impact softening performance of low melting point alloy/copper foam composite phase change materials by Jingjing Song, Minzu Liang, Yuliang Lin, Leilei Wu, Jiakai Guo, Wen Liang, Yuwu Zhang

“…The deformation failure mechanism and the strain rate softening effect of low melting point alloy/copper foam composite phase change material (CPCM) under impact loading were investigated using a macro-fine-micro multi-scale analysis method. The consequences of strain rate and relative density on the dynamic response of CPCM were experimentally examined using Split-Hopkinson-Pressure-Bar methods. …”
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TSAS—YOLOv8: An Optimization Detection Model for Capturing Small Target Features and Processing Key Information by Yongbo Yuan, Linlin Cao

“…To address this issue, we propose the TSAS-YOLOv8 method. This method defines the T-CMUNeXt module and introduces a new Backbone structure based on this module, leveraging its multi-scale feature fusion advantage to capture the subtle features of small targets. …”
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Good Governance and Seigniorage in a Selected OPEC Countries and Iran by ALI Rashid Shamkhal, Kambiz Paykarjou, beitollah Akbari Moghaddam

“…Therefore, based on the results obtained from the analysis of responce functions in empirical analysis, it is essential to pay attention to changing and improving the methods of governance and administration of the country. …”
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Risk of AI Algorithmic Discrimination Embedded in Government Data Governance and Its Prevention and Control by PENG Lihui, ZHANG Qiong, LI Tianyi

“…Through systematic analysis, this study aims to reveal the potential risks of AI algorithms in government data governance, especially the causes and manifestations of algorithmic discrimination, and then it proposes effective solutions to protect citizens' legitimate rights and interests from being violated, and to maintain government credibility and social justice. [Method/Process] This study adopts the literature induction method to extensively collect domestic and international related data on the application of AI in government data governance, including academic papers, policy documents, and case studies. …”
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Methodology and Application of Adaptive and Sequential Approaches in Contemporary Clinical Trials by Zhengjia Chen, Yichuan Zhao, Ye Cui, Jeanne Kowalski

“…The application of adaptive and sequential methods in clinical trials has significantly improved the flexibility, efficiency, therapeutic effect, and validity of trials. …”
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Key Issues and Prospects for Low-Carbon Operation and Scheduling of the New Power System from an Electricity-Carbon Coupling Perspective by ZHAO Junhua, BAI Yan, WANG Zhidong

“…Moreover， market simulation methods faced a contradiction between insufficient interpretability and overly stringent assumptions， and the integration of renewable energy units （characterized by near-zero short-term marginal costs） undermined traditional pricing models and complicated multi-period cost allocation.…”
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Determinants of Banking Profitability in Angola: A Panel Data Analysis with Dynamic GMM Estimation by Eurico Lionjanga Cangombe, Luís Gomes Almeida, Fernando Oliveira Tavares

“…Banking concentration presents mixed effects, enhancing net interest income while potentially undermining efficiency. Economic growth supports profitability, whereas inflation exerts a negative influence. …”
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