Medical Review and Analysis of Canned Food Production Safety by Tsvetelina Vitkova

“…Food safety is an essential and integral part of public health policies in developed countries. …”
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The Double-Edged Sword of Social Media in the European Union Crisis Management: A Literature Review by Tănase Tasențe

“…Special attention is paid to emerging trends such as digital activism, extremist propaganda, and the increasing reliance on algorithmic data for policy decisions. By outlining the benefits and risks of integrating digital platforms into crisis governance, this review underscores the critical importance of informed strategies and balanced regulation. …”
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GenAI and effective reading among university students: Prospects, challenges, and future directions by George Matto, Jaffar Msafiri Ponera, Valeria Kyumana

“…In addition, there are potential biasness and inaccuracies of AI algorithms that can lead to a generation of biased reading contents. …”
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Artificial Intelligence and the Future of Mental Health in a Digitally Transformed World by Aggeliki Kelly Fanarioti, Kostas Karpouzis

“…Yet this digital transformation raises complex policy and ethical questions that remain insufficiently addressed. …”
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Predictive Analysis of Carbon Emissions in China’s Construction Industry Based on GIOWA Model by Tianyue Hu, Zhiheng Bao, Baiyang Zhang, Xinnan Gao

“…A case study is conducted based on historical data (1997–2021) from the construction industry, and the research findings indicate that: (1) the GIOWA combination forecasting model effectively integrates the algorithmic strengths of SVR and LSTM, achieving an average prediction accuracy of 98.16%, which signifies a remarkable improvement over both individual models; (2) the carbon emissions in China’s construction industry will maintain a downward trend during the period 2022–2030, although the decline rate is expected to decrease gradually; (3) by 2030, a reduction of nearly 35% in carbon emissions is anticipated relative to the historical peak. …”
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Spatio-temporal analysis of agroforestry systems in hotan using multi-source remote sensing and deep learning by Wenqi Kou, Zhanfeng Shen, Yihan Zhang, Haoyu Wang, Pengfei Ji, Lan Huang, Chi Zhang, Yubo Ma

“…Finally, the spatial planting structure of the walnut trees was quantified using the d-LinkNet model, integrated with a template filling algorithm.The results demonstrated a classification accuracy of 97.85 % in extracting parcel-level planting structures, identifying 42,955 farmland parcels, including 21,153 intercropped parcels. …”
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Analysis of corn price forecast in China based on Lasso-XGBoost-SHAP by Wenming Cheng, Fangyuan Li

“…Corn is a pivotal Chinese grain crop , serving as a staple and the largest imported commodity, making accurate price forecasting critical for food security and policy . This study develops an explainable predictive framework for China’s corn prices by integrating supply-demand dynamics, substitute price interactions , and policy factors. …”
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BA-AMST: A blockchain-assisted anonymous and multi-keyword searchable-traceable data sharing system in Industrial Internet of Things by Leyou Zhang, Runze Tian, Qing Wu, Fatemeh Rezaeibagha

“…A tracing algorithm is introduced to prevent private key leakage, and a Bloom filter is employed to conceal confidential access policies, preserving user privacy. …”
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AI-powered literature search: some observations and concerns by Farooq Azam Rathore, Fareeha Farooq

“…They should appropriately acknowledge the use AI tools as per the journal’s policy.10 • Institutes and regulatory bodies in the country should formulate clear guidelines for the integration and ethical use of AI tools for different steps of research, writing and medical education. …”
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 Who Benefits from AI? Examining Different Demographics' Fairness Perceptions across Personal, Work, and Public Life by Sejin Paik, Ekaterina Novozhilova, Kate K. Mays, James E. Katz

“…These disparities highlight the need for AI development and policy frameworks that account for demographic differences in perception to ensure equitable access and benefits across diverse populations. …”
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Deep Reinforcement Learning for RIS-Assisted Multi-UAV MU-MISO Communication Networks: Sum-Rate and Energy Efficiency Maximization by Alif Rahmatullah Umar, Hasan Albinsaid, Chia-Po Wei, Chih-Peng Li

“…We formulate separate optimization problems for sum-rate and energy efficiency, and address them using deep reinforcement learning (DRL) algorithms, namely proximal policy optimization (PPO) and deep deterministic policy gradient (DDPG). …”
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Trading Efficiency for Control: the AI Conundrum in Migration Management by Gianluca Iazzolino

“…It suggests a research agenda to investigate how AI-generated insights inform policies and how ideologies are reflected into policies and shape AI deployments. …”
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Practical Recommendations for Artificial Intelligence and Machine Learning in Antimicrobial Stewardship for Africa by Tafadzwa Dzinamarira, Elliot Mbunge, Claire Steiner, Enos Moyo, Adewale Akinjeji, Kaunda Yamba, Loveday Mwila, Claude Mambo Muvunyi

“…Financial investment is critical to scaling successful pilot projects and integrating them into national health systems. Effective policy development is equally essential to establishing regulatory frameworks that ensure data security, algorithmic fairness, and ethical AI use. …”
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Navigating the Moral Maze: Ethical Challenges and Opportunities of Generative Chatbots in Global Higher Education by Dwi Mariyono, Akmal Nur Alif Hidayatullah

“…However, it also raises ethical concerns about data security, academic integrity, algorithmic bias, and learner autonomy. …”
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LSTM-Enhanced Deep Reinforcement Learning for Robust Trajectory Tracking Control of Skid-Steer Mobile Robots Under Terra-Mechanical Constraints by Jose Manuel Alcayaga, Oswaldo Anibal Menéndez, Miguel Attilio Torres-Torriti, Juan Pablo Vásconez, Tito Arévalo-Ramirez, Alvaro Javier Prado Romo

“…Four state-of-the-art DRL algorithms, i.e., Proximal Policy Optimization (PPO), Deep Deterministic Policy Gradient (DDPG), Twin Delayed DDPG (TD3), and Soft Actor–Critic (SAC), are selected to evaluate their ability to generate stable and adaptive control policies under varying environmental conditions. …”
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The role of artificial intelligence in promoting health and developing preventive strategies for diabetes by Ameneh Marzban

“…Dear Editor Diabetes remains a significant public health challenge, and the integration of artificial intelligence (AI) presents remarkable opportunities to enhance early diagnosis, personalized treatment, and effective prevention strategies.1 AI algorithms, including supervised learning and convolutional neural networks, can efficiently analyze large datasets to identify patterns and risk factors associated with diabetes, surpassing the capabilities of traditional methods.2 This advanced analysis enables healthcare providers to predict the likelihood of diabetes in individuals and populations, facilitating timely interventions and customized prevention strategies. …”
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Remote Sensing Applications in Ocean Observation (Second Edition) by Chung-Ru Ho

“…A recurring theme among these contributions is the importance of integrating data from multiple sources and employing state-of-the-art computational methods. …”
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EQUAL AI: A Framework for Enhancing Equity, Quality, Understanding and Accessibility in Liberal Arts through AI for Multilingual Learners by Amin Davoodi

“…By tackling challenges such as algorithmic bias, data privacy, and the digital divide, the study advocates for culturally responsive policies and inclusive practices. …”
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AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Ravinesh C. Deo, Abdul Hafeez-Baig, Tracy Kolbe-Alexander, Niranjana Sampathila, U. Rajendra Acharya

“…Its ability to deal with large, heterogeneous datasets qualifies it as a top contender for environmental health forecasting, policy support, and early warning systems.…”
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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

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