The Role of Artificial Intelligence in Optometric Diagnostics and Research: Deep Learning and Time-Series Forecasting Applications by Luis F. F. M. Santos, Miguel Ángel Sánchez-Tena, Cristina Alvarez-Peregrina, José-María Sánchez-González, Clara Martinez-Perez

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Forest Fire Risk Prediction in South Korea Using Google Earth Engine: Comparison of Machine Learning Models by Jukyeong Choi, Youngjo Yun, Heemun Chae

“…Future predictions can be improved by incorporating seasonal, real-time meteorological, and human activity data.…”
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A Review of Multimodal AI in Veterinary Diagnosis: Current Trends, Challenges, and Future Directions by Carolina Gomes, Luisa Coheur, Paula Tilley

“…This paper focuses on multimodal AI, a rapidly evolving field that integrates diverse data types, including medical imaging (e.g. X-rays, CT scans), textual data (e.g. clinical notes, lab reports), behavioral videos (e.g. gait analysis), and audio recordings (e.g. respiratory sounds). …”
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Ensemble machine learning prediction accuracy: local vs. global precision and recall for multiclass grade performance of engineering students by Yagyanath Rimal, Yagyanath Rimal, Navneet Sharma

“…The primary goal is to address challenges in multiclass data preparation and evaluate the best machine learning models using both micro and macro accuracy metrics derived from baseline comparisons. …”
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A Systematic Literature Review of DDS Middleware in Robotic Systems by Muhammad Liman Gambo, Abubakar Danasabe, Basem Almadani, Farouq Aliyu, Abdulrahman Aliyu, Esam Al-Nahari

“…This paper presents a systematic literature review (SLR) focused on the applications and challenges of Data Distribution Service (DDS)-based middleware in robotics from 2006 to 2024. …”
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Spatiotemporal Facility‐Level Patterns of Summer Heat Exposure, Vulnerability, and Risk in United States Prison Landscapes by Ufuoma Ovienmhada, Mia Hines, Michael Krisch, Ahmed T. Diongue, Brent Minchew, Danielle R. Wood

“…We leveraged a high‐resolution air temperature data set to evaluate short and long‐term patterns of heat metrics for 1,614 prisons in the United States from 1990 to 2023. …”
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Measuring joint attention in co-creation through automatic human activity recognition by Tao Shen, Yanyi Li, Yonqqi Lou, Chun Liu, Danwen Ji, Man Zhang, Ying Li

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Prenatal WIC Participation Is Associated with Gestational Weight Gain: A Secondary Analysis of United States Birth Records by Susana L Matias, Caitlin D French

“…Methods: Birth records data from women eligible for WIC during pregnancy (defined as delivery paid with Medicaid) and of reproductive age, who gave birth to a singleton, live birth, at a hospital in the United States in 2023 were used. …”
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Framing of disaster impact in online news media: a case study from Malawi on flood risk management by Hannah Bailon, Kees Boersma, Claudia Orellana-Rodriguez, Marc Van Den Homberg, Marc Van Den Homberg

“…Currently, most impact data have spatial and temporal gaps, especially in data-poor contexts. …”
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Innovation and Risk Avoidance of Smart Library Services Based on Generative Artificial Intelligence by Jia LIU

“…These include challenges related to data security, model bias, ethical standards, and management complexity. …”
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Assessing the accuracy of the recording and reporting of malaria rapid diagnostic test results in four African countries: methods and key results by Kim A. Lindblade, Arthur Mpimbaza, Corine Ngufor, William Yavo, Sunday Atobatele, Ese Akpiroroh, Abibatou Konaté-Touré, Idelphonse Ahogni, Nelson Ssewante, Bosco Agaba, Augustin Kpemasse, Jacques Agnon, Onyebuchi Okoro, Godwin Ntadom, Antoine Tanoh, Cyriaque Affoukou, Jimmy Opigo, Shawna Cooper, John J. Aponte, Kevin Griffith, Radina Soebiyanto, Michael Humes

“…This report summarizes the study’s methods, key findings, and implications for improving malaria RDT data quality. …”
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Developing a generalized nonlinear mixed-effects biomass model at stand-level under different age conditions for Chinese fir based on LiDAR and ground survey data in southern China by Xinsheng Zhu, Tianbao Huang, Ziyang Liu, Lang Bai, Yongfeng Yang, Jinsheng Ye, Qiulai Wang, Ram P. Sharma, Liyong Fu

“…Validation with independent test samples confirmed the robustness and reliability of the nonlinear mixed-effects model.DiscussionThis study highlights the effectiveness of airborne LiDAR data in providing efficient and precise estimates of stand biomass. …”
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An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity by 周继威, 安国成, 王根一

“…Existing deep learning models face challenges in generalization due to limited training samples and data heterogeneity across complex river environments. …”
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The necessity of validity diagnostics when drawing causal inferences from observational data: lessons from a multi-database evaluation of the risk of non-infectious uveitis among p... by James Weaver, Erica A. Voss, Guy Cafri, Kathleen Beyrau, Michelle Nashleanas, Robert Suruki

“…In assessment of this clinical question, we applied validity diagnostics to support observational data causal inferences. Methods We assessed the risk of NIU among patients exposed to Remicade® compared to alternative biologics. …”
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Identification of comorbid genes between type 2 diabetes and migraine through peripheral blood single-cell and Mendelian randomization analysis by Bobo Yuan, Jianrui Li, Qing Shu, Xiaoye Wang, Guogang Luo, Ranran Ma

“…Results Analysis of single-cell data identified 2,128 migraine-associated and 3,833 T2DM-associated genes, with 714 genes shared between the two diseases. …”
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Investigating amygdala nuclei volumes in military personnel with post-traumatic stress disorder, major depressive disorder, and adjustment disorder: A retrospective cross-sectional... by Thiemo Knaust, Dagmar Tarnogorski, Matthias B D Siebler, Philipp Skiberowski, Christian Moritz, Helge Höllmer, Holger Schulz

“…Abnormalities in these amygdala nuclei are implicated in PTSD and may distinguish it from other disorders like MDD and AdjD, where these mechanisms are less central. …”
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Bridging sentiment and finance: An exploration of BOD statements and bank ratios in Jordan by Raed Kanakriyah, Abeer Al-Faouri, Murad Y. Abuaddous, Riyad Alhindawi

“…Additionally, the possibility of real-time sentiment analysis enables the dynamic monitoring of banking institutions' financial health as updated data becomes available. Social implications: The study’s results are valuable to users of financial information, aiding the Association of Banks and the Central Bank of Jordan in formulating policies for the banking sector. …”
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Internet of Things (IoT) technologies: features, development prospects and potential threats by Daria Margaza, Yurii Yurchenko

“…However, it also underscores significant challenges, such as cybersecurity risks, data privacy concerns, and regulatory gaps that may hinder widespread adoption. …”
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Efecto del ecosistema de big data en la gestión del conocimiento y el diseño organizativo: caso de estudio exploratorio en el sector de los biocombustibles by Erik Daniel Maldonado Ascanio, Francisco Balbastre Benavent

“…This exploratory case study serves as a valuable contribution to the understanding of the broader implications of big data ecosystem implementation in organizations. …”
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Benchmarking Analysis of Railway Infrastructure Managers: A Hybrid Principal Component Analysis (PCA), Grey Best–Worst Method (G-BWM), and Assurance Region Data Envelopment Analysi... by Snežana Tadić, Aida Kalem, Mladen Krstić, Nermin Čabrić, Adisa Medić, Miloš Veljović

“…To address these challenges, this study proposes a hybrid benchmarking model that integrates Principal Component Analysis (PCA) to identify key performance indicators (KPIs) and reduce data dimensionality, the Grey Best–Worst Method (G-BWM) to determine KPI weight coefficients based on expert evaluations, and Assurance Region Data Envelopment Analysis (AR-DEA) to assess the relative efficiency of RIMs while incorporating real-world constraints. …”
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