Development and validation of an ethical monopoly board game to teach bioethics to undergraduate medical students by Abeera Fatima, Usman Mahboob, Rehan Ahmed Khan, Saima Rafique

“…One such approach is game-based learning, with board games emerging as a cost-effective and accessible tool for bioethics education. …”
Get full text

The 2024–2025 seismic sequence in the Santorini-Amorgos region: Insights into volcano-tectonic activity through high-resolution seismic monitoring by Ioannis Fountoulakis, Christos P. Evangelidis

“…In this study, a detailed seismic catalog is presented, generated for operational monitoring using machine-learning-based phase picking and high-precision relocation methods. …”
Get full text

End-to-End Vector Simplification for Building Contours via a Sequence Generation Model by Longfei Cui, Junkui Xu, Lin Jiang, Haizhong Qian

“…To enhance spatial understanding, positional encoding is embedded within the multihead self-attention mechanism, allowing the TPSM to effectively capture relative vertex positions. …”
Get full text

Mechanism of Influence of Spatial Perception on Residents’ Emotion in Child-Friendly Urban Streets of Fuzhou City by Shaofeng CHEN, Zhengyan CHEN, Yuhan XU, Zheng DING

“…By examining interactions between street environment elements and residents’ emotional responses, this research aims to generate actionable insights for creating emotionally supportive urban environments that align with China’s child-friendly urbanization goals.MethodsThe research employs a multi-modal analytical framework integrating geospatial data, machine learning, and participatory scoring. …”
Get full text

Utilizing Artificial Intelligence for Microbiome Decision-Making: Autism Spectrum Disorder in Children from Bosnia and Herzegovina by Džana Bašić-Čičak, Jasminka Hasić Telalović, Lejla Pašić

“…Four machine learning algorithms (Random Forest, Support Vector Classification, Gradient Boosting, and Extremely Randomized Tree Classifier) were applied to create eight classification models based on bacterial abundance at the genus level and KEGG pathways. …”
Get full text

The transformative power of artificial intelligence in pharmaceutical manufacturing: Enhancing efficiency, product quality, and safety by Mukesh Vijayarangam Rajesh, Karthikeyan Elumalai

“…AI-driven data insights enable companies to make strategic choices based on real-time data, automate operational processes for efficiency, and respond to emerging industry patterns positively. …”
Get full text

Diverse Counterfactual Explanations (DiCE) Role in Improving Sales and e-Commerce Strategies by Simona-Vasilica Oprea, Adela Bâra

Get full text

“Could She/He Walk Out of the Hospital?”: Implementing AI Models for Recovery Prediction and Doctor-Patient Communication in Major Trauma by Li-Chin Cheng, Chung-Feng Liu, Chin-Choon Yeh

“…The model was deployed as a web-based application integrated into the hospital information system. …”
Get full text

Landslide Segmentation in High-Resolution Remote Sensing Images: The Van–UPerAttnSeg Framework with Multi-Scale Feature Enhancement by Chang Li, Quan Zou, Guoqing Li, Wenyang Yu

Get full text

Exploring the role of repetitive negative thinking in the transdiagnostic context of depression and anxiety in children by Kuiliang Li, Lei Ren, Xiao Li, Chang Liu, Xuejiao Tan, Ming Ji, Xi Luo

“…Future research should validate the utility of RNT-targeted interventions, such as mindfulness-based therapies.…”
Get full text

Mask-Space Optimized Transformer for Semantic Segmentation of Lithium Battery Surface Defect Images by Daozong Sun, Jiasi Chen, Peiwen Wu, Yucheng Pan, Hongsheng Zhong, Zihao Deng, Xiuyun Xue

Get full text

The impact of Theme-Based Instruction: Trending Topics on Speaking Skills, in EFL ninth-grade learners from B.E.S Presidente Velasco by Erika Viviana Rojas-Buñay, Martha Magdalena Guaman-Luna

“… Recent studies suggest that integrating trending topics into language learning positively influences students' speaking abilities. …”
Get full text

Data driven models for predicting pH of CO2 in aqueous solutions: Implications for CO2 sequestration by Mohammad Rasool Dehghani, Moein Kafi, Hamed Nikravesh, Maryam Aghel, Erfan Mohammadian, Yousef Kazemzadeh, Reza Azin

“…However, previous studies have not comprehensively investigated the development of machine learning models to estimate this parameter. To fill this research gap, this study developed 15 models comprising five machine learning methods: regression trees, support vector regression, Gaussian process regression, bagged trees, and boosted trees, and three optimization algorithms: random search, grid search, and Bayesian optimization. …”
Get full text

MTCDNet: Multimodal Feature Fusion-Based Tree Crown Detection Network Using UAV-Acquired Optical Imagery and LiDAR Data by Heng Zhang, Can Yang, Xijian Fan

“…While unmanned aerial vehicle (UAV)-acquired RGB imagery, combined with deep learning-based networks, has demonstrated considerable potential, existing methods often rely exclusively on RGB data, rendering them susceptible to shadows caused by varying illumination and suboptimal performance in dense forest stands. …”
Get full text

A theoretical research in Freedom policy by Kioomars Ashtarian

“…Although the theoretical basis of the article is based on John Dewey's theory of social learning as planning, it put forward new arguments in terms of requirements for a policy of freedom in Iran. …”
Get full text

Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients by Xumeng Liu, Huiwen Fang, Dongmei Liang, Qunjuan Lei, Jiaping Wang, Feng Xu, Shaoshan Liang, Dandan Liang, Fan Yang, Heng Li, Jianghua Chen, Yuan Ni, Guotong Xie, Caihong Zeng

Get full text

The clinical prediction model to distinguish between colonization and infection by Klebsiella pneumoniae by Xiaoyu Zhang, Xifan Zhang, Deng Zhang, Jing Xu, Jingping Zhang, Xin Zhang

“…ObjectiveTo develop a machine learning-based prediction model to assist clinicians in accurately determining whether the detection of Klebsiella pneumoniae (KP) in sputum samples indicates an infection, facilitating timely diagnosis and treatment.Research methodsA retrospective analysis was conducted on 8,318 patients with KP cultures admitted to a tertiary hospital in Northeast China from January 2019 to December 2023. …”
Get full text

Differences in neuronal ciliation rate and ciliary content revealed by systematic imaging-based analysis of hiPSC-derived models across protocols by Walther Haenseler, Melanie Eschment, Melanie Eschment, Beth Evans, Marta Brasili, Marta Brasili, Joana Figueiro-Silva, Fee Roethlisberger, Fee Roethlisberger, Affef Abidi, Affef Abidi, Darcie Jackson, Martin Müller, Martin Müller, Sally A. Cowley, Ruxandra Bachmann-Gagescu, Ruxandra Bachmann-Gagescu, Ruxandra Bachmann-Gagescu, Ruxandra Bachmann-Gagescu

Get full text

An Investigation Towards Resampling Techniques and Classification Algorithms on CM1 NASA PROMISE Dataset for Software Defect Prediction by Agung Fatwanto, Muh Nur Aslam, Rebbecah Ndugi, Muhammad Syafrudin

“…Training processes were carried out twice, each of which used the 5-fold cross-validation and the 70% training and 30% testing data splitting (holdout) method. Our result shows that the combined and oversampling techniques provide a positive effect on the performance of the models. …”
Get full text

External Validation of an AI mHealth Tool for Gingivitis Detection among Older Adults at Daycare Centers: A Pilot Study by Reinhard Chun Wang Chau, Andrew Chi Chung Cheng, Kaijing Mao, Khaing Myat Thu, Zhaoting Ling, In Meei Tew, Tien Hsin Chang, Hong Jin Tan, Colman McGrath, Wai-Lun Lo, Richard Tai-Chiu Hsung, Walter Yu Hang Lam

Get full text