The Urgency of Enacting the Asset Confiscation Bill for the Eradication of Corruption and Money Laundering in Indonesia by Khilmatin Maulidah, Ratna Kumala Sari, Aldisa Melissa, Agnes Fitryantica

“…These crimes not only result in the direct loss of public funds but also undermine trust in state institutions, obstruct development programs, and damage Indonesia's international reputation. …”
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The Dynamics of Doctor-Patient Communication During Remote Consultations: Qualitative Study Among Norwegian Contract General Practitioners by Børge Lønnebakke Norberg, Bjarne Austad, Eli Kristiansen, Paolo Zanaboni, Linn Okkenhaug Getz

“…Although these modalities can enhance efficiency, there is a discernible risk of compromised retrieval of essential information and unvoiced problems, potentially resulting in unintended consequences. …”
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Recommendations for strengthening primary healthcare delivery models for chronic disease management in Mendoza: a RAND/UCLA modified Delphi panel by Javier Roberti, Ezequiel García Elorrio, Yanina Mazzaresi, Marina Guglielmino, Agustina Mazzoni, Andrea Falaschi

“…However, numerous challenges undermine its effectiveness in these settings.Objective To identify recommendations to improve PHC by integrating user preferences and provider capacity to deliver patient-centred and competent care in the Mendoza Province, Argentina.Design Modified RAND Corporation/University of California, Los Angeles (RAND/UCLA) Delphi method.Setting Health system of the Province of Mendoza, Argentina.Participants 32 public health experts from Mendoza.Interventions Proposals were developed from secondary data, the People’s Voice Survey, an electronic cohort of people with diabetes, qualitative studies of users’ and professionals’ experiences and reviews of interventions in primary care.Primary outcome Experts had to evaluate proposals according to five criteria selected from the evidence to decision framework (impact, resource requirements, acceptability, feasibility and measurability).Results The 19 final recommendations emphasise policy continuity, evidence-based policy-making and standardisation of healthcare processes. …”
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Examining How Technology Supports Shared Decision-Making in Oncology Consultations: Qualitative Thematic Analysis by Alan Yung, Tim Shaw, Judy Kay, Anna Janssen

“…Digital technologies can both improve and undermine SDM. Current systems are generally not designed to support SDM. …”
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Assessment of gender-related differences in digital financial services use and health worker performance in Nigeria by Jesuloluwa Adeolu Alabi, David Ayobami Adewole, Folashayo Peter Adeniji, Segun Bello, Juliet Aweko, Elizabeth Ekirapa, Peter Waiswa, Olufunmilayo Ibitola Fawole

“…Abstract Background Gender disparities in access to Digital Financial Services (DFS) may undermine the efficiency and equity of health campaign payments. …”
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Network Analysis for the Improvement of Food Safety in the International Honey Trade by József Popp, Anna Kiss, Judit Oláh, Domicián Máté, Attila Bai, Zoltán Lakner

“…The adulteration of honey can undermine confidence in products as well as having adverse public health consequences. …”
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Contextual factors influencing implementation of tuberculosis digital adherence technologies: a scoping review guided by the RE-AIM framework by Ramnath Subbaraman, Katherine L Fielding, Genevieve Gore, Nicola Foster, Kevin Schwartzman, Miranda Zary, Cedric Kafie, Shruti Bahukudumbi, Chimweta I Chilala, Barbie Patel, Mona S Mohamed

“…Introduction Digital adherence technologies (DATs) may enable person-centred tuberculosis (TB) treatment monitoring; however, implementation challenges may undermine their effectiveness. Using the reach, effectiveness, adoption, implementation and maintenance framework, we conducted a scoping review to identify contextual factors informing ‘reach’ (DAT engagement by people with TB) and ‘adoption’ (DAT uptake by healthcare providers or clinics).Methods We searched eight databases from 1 January 2000 to 25 April 2023 to identify all TB DAT studies. …”
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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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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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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

“…Methods Claude 2.0 was used to generate peer review reports, rejection recommendations, citation requests and refutations for 20 original, unmodified cancer biology manuscripts obtained from eLife's new publishing model. …”
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High-quality development and rural revitalization: the role of rural e-commerce by Qi You, Zihao Yuan, Xiao-She Yu

“…This study explores how high-quality development (HQD), a strategic priority aimed at sustainable and efficient growth, impacts RR, with a focus on the mediating role of rural e-commerce (RE).MethodsUsing Chinese provincial panel data from 2011 to 2021, this study applies a panel quantile regression model to capture the nonlinear relationship between HQD, RE, and RR. …”
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Modelado predictivo de actitudes y comportamientos ético-profesionales en médicos latinoamericanos mediante redes neuronales by Alberto Guevara Tirado, Raul Emilio Real Delor

“…Conclusions: The multilayer perceptron neural network was efficient for analyzing ethical and professional attitudes and behaviors in medical practice.…”
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The Great Disruption: How Machine Intelligence Will Transform the Role of Lawyers in the Delivery of Legal Services by J. O. Mcginnis, R. G. Pearce

“…Objective: to analyze the influence of machine intelligence on legal practice and services.Methods: dialectical approach to cognition of social phenomena, allowing to analyze them in the historical development and functioning in the context of a set of objective and subjective factors, which determined the choice of the following research methods: formal-logical, comparative-legal, state and legal modeling.Results: The market for electronic legal services is at a relatively early, yet significant, stage in terms of the disruptive effect of machine intelligence in undermining lawyers' monopoly. …”
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Comparative review of intelligent structural safety in building seismic risk mitigation utilizing an integrated artificial intelligence controller by Normaisharah Mamat, Rawad Abdulghafor, Sherzod Turaev, Fitri Yakub

“…The fundamental unpredictability and complexity of seismic forces can undermine conventional safety measures, resulting in deficiencies in effectiveness and responses. …”
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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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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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Mapping stakeholders, services, data, and the information system for adolescent health in the West Bank by Aisha Shalash, Maysaa Nemer, Niveen Abu-Rmeileh, Mohammad Kittaneh, Dervla Kelly, Khalifa Elmusharaf

“…In conflict-affected regions like the West Bank, fragmented service delivery, inconsistent data collection, and lack of coordination between providers undermine the effectiveness of health services. An efficient health information system ensures accurate data collection, stakeholder integration, and evidence-based decision-making. …”
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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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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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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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