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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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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Identification of Corrosive Volatile Compounds Found in the Headspace of Chicken Noodle Soup Retorted in Metal Cans by Yajun Wu, Ken Ruffley, Elliot Dhuey, Christopher M. Hadad, Melvin A. Pascall

“…The long-term goal of these studies is to develop an efficient method to investigate how headspace volatile compounds in foods could cause corrosion defects in metal cans and how these could be corrected without undermining the quality and safety of the food. …”
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Evaluating the potential risks of employing large language models in peer review by Lingxuan Zhu, Yancheng Lai, Jiarui Xie, Weiming Mou, Lihaoyun Huang, Chang Qi, Tao Yang, Aimin Jiang, Wenyi Gan, Dongqiang Zeng, Bufu Tang, Mingjia Xiao, Guangdi Chu, Zaoqu Liu, Quan Cheng, Anqi Lin, Peng Luo

“…While they can address challenges like reviewer scarcity and review efficiency, concerns about fairness, transparency and potential biases in LLM‐generated reviews have not been thoroughly investigated. …”
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A Meta-Reinforcement Learning-Based Poisoning Attack Framework Against Federated Learning by Wei Zhou, Donglai Zhang, Hongjie Wang, Jinliang Li, Mingjian Jiang

“…However, the distributed nature of federated learning makes it vulnerable to poisoning attacks, which undermine the integrity and availability of the model by injecting carefully crafted perturbations into the data or model. …”
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High-throughput screening of monoclonal antibodies against carbapenemases using a multiplex protein microarray platform by Sascha D. Braun, Sascha D. Braun, Martin Reinicke, Martin Reinicke, Celia Diezel, Celia Diezel, Elke Müller, Elke Müller, Katrin Frankenfeld, Thomas Schumacher, Hugo Arends, Stefan Monecke, Stefan Monecke, Ralf Ehricht, Ralf Ehricht, Ralf Ehricht

“…IntroductionCarbapenemase-producing bacteria undermine the efficacy of carbapenems, a class of last-resort antibiotics used primarily to treat infections caused by multidrug-resistant Gram-negative pathogens. …”
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To the Question of Legal Responsibility for the Use of Cryptal Currencyin Production by A. A. Maksurov

“…Using the capabilities of the system analysis method, formal logic, as well as linguistic and philological techniques and methods of research, the author comments on the norms of the current criminal and administrative legislation on responsibility for the use of cryptocurrency in the calculations.It is concluded that there are significant shortcomings in this area, which does not allow to regulate these public relations in the most efficient way. …”
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Temporal Relationship Between Treatment Burden and Self-Care and Its Impact on Systolic Blood Pressure and Hypertension Control by Jia Z, Niu Z, Xie YJ, Su Z, Wang JJ, Hernandez J, Li YT, Wang HHX

“…Zhihui Jia,1 Zimin Niu,1 Yao Jie Xie,2 Zhiran Su,3 Jia Ji Wang,4 Jose Hernandez,5,6 Yu Ting Li,7 Harry HX Wang1 1School of Public Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China; 2School of Nursing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR; 3Faculty of Education, Monash University, Melbourne, Australia; 4School of Public Health, Guangzhou Medical University, Guangzhou, People’s Republic of China; 5Green Templeton College, University of Oxford, Oxford, UK; 6Department of Precision Health, Luxembourg Institute of Health, Luxembourg, Luxembourg; 7Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, People’s Republic of ChinaCorrespondence: Yu Ting Li, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, 510060, People’s Republic of China, Email liyuting3@mail.sysu.edu.cn Harry HX Wang, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, People’s Republic of China, Email haoxiangwang@163.com; wanghx27@mail.sysu.edu.cnBackground: Effective blood pressure (BP) control necessitates sustained adherence to self-care regimes; however, adherence can be undermined by excessive treatment burden. The longitudinal dynamics between treatment burden and self-care behaviours remain less understood, with particularly limited understanding of how the temporal relationship may influence BP control.Objective: This study sought to examine the temporal relationship between treatment burden and self-care while investigating their collective longitudinal impact on both systolic BP levels and hypertension control.Methods: We investigated a community-based longitudinal cohort of 1718 hypertensive patients (mean age 54.6 ± 11.9 years; 28.5% with coexisting diabetes). …”
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Optimizing Medical IoT Disaster Management with Data Compression by Nunudzai Mrewa, Athirah Mohd Ramly, Angela Amphawan, Tse Kian Neo

“…This data overload makes processing and transmitting information efficiently a significant hurdle, potentially undermining the benefits of this union. …”
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Understanding the relationship: Financial inclusion's influence on bank stability in emerging economies by Shaoming Han, Cheng Qian, Nawal Abdalla Adam, Norboy Karimov, Wang Zhang

“…The findings reveal that financial inclusion generally enhances bank stability and positively influences operational efficiency and funding stability. However, during periods of lax financial regulations or excessive government intervention, banks may engage in riskier behaviors, potentially undermining stability. …”
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Comparative analysis of machine learning algorithms for money laundering detection by Sunday Adeola Ajagbe, Simphiwe Majola, Pragasen Mudali

“…The findings underscore the potential of ML algorithms capability to combat money laundering and indeed enhance anti-money efforts and offer financial institutions a powerful, resource-efficient method for fraud detection in large-scale transaction environments.…”
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Assessing the thermal cracking process of coal in high-temperature environment: an ultrasonic approach by Junjun Feng, Junjun Feng, Shigeng Li, Chuanhua Xu, Jun Peng, Qisong Huang

“…The ultrasonic method based on the theoretical model provides an innovative approach for assessing the coal thermal cracking process, contributing to improved environmental sustainability in deep coal mining.…”
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The Validity of Cryptocurrency Transactions and the Analysis of Associated Disputes by Hossein Qahari, Javad Hosseinzadeh

“…Introduction The complex economic relations in the current era increasingly demand the provision of efficient, rational, and comprehensive legal norms. …”
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Transparent and Privacy-Preserving Mobile Crowd-Sensing System with Truth Discovery by Ruijuan Jia, Juan Ma, Ziyin You, Mingyue Zhang

“…Furthermore, theoretical analysis and extensive experiments demonstrate that this scheme is secure and efficient.…”
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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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Edge-Assisted Label-Flipping Attack Detection in Federated Learning by Nourah S. AlOtaibi, Muhamad Felemban, Sajjad Mahmood

“…Extensive evaluation using three benchmark datasets shows that the proposed edge-assisted LFA detection framework outperforms traditional cloud-based methods. We demonstrate its superiority in latency, resource efficiency, and accuracy in detecting malicious clients, outperforming state-of-the-art defenses.…”
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TSAS—YOLOv8: An Optimization Detection Model for Capturing Small Target Features and Processing Key Information by Yongbo Yuan, Linlin Cao

“…In summary, TSAS-YOLOv8 exhibits efficiency and feasibility in small target detection tasks.…”
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Prospects and Challenges of Green Practices Adoption by Manufacturing Companies in Ogun State, Nigeria by SOLAJA Oludele Mayowa

“…The findings of the study revealed that green practices adoption brought about social change in consumption patterns, lifestyle, efficient management of waste, environmental risk reduction. …”
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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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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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