Fine-Scale Risk Mapping for Dengue Vector Using Spatial Downscaling in Intra-Urban Areas of Guangzhou, China by Yunpeng Shen, Zhoupeng Ren, Junfu Fan, Jianpeng Xiao, Yingtao Zhang, Xiaobo Liu

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Age of machine learning: new trends in autism spectrum disorder prediction by Weihong Xu, Haibei Li, Junwen Li, Min Jin

“…Early identification of individuals at risk enables early targeted intervention, which improves outcomes. Through the integration of artificial intelligence and the medical field, researchers can establish a machine learning (ML) risk prediction model to estimate the risk of ASD. …”
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Digital Transformation in the Context of European Union’s Green Deal by Bertoncelj, Andrej

“…These technologies have the potential to completely take over all of production through interconnected systems, also known as Internet of Things/Cyber-physical systems, in turn eliminating the need for human monitoring/intervention in tasks through machine learning/artificial intelligence algorithms. …”
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Enhancing M Enhancing mathematics problem-solving skills in AI-driven environment: Integrated SEM-neural network approach by Anass Bayaga

“…This study explores the nexus of gamification, artificial intelligence (AI), and mathematics cognition. Sample size of 71 responded in an intervention using game-based learning (GBL) approach. …”
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Assessing confidence in AI-assisted grading of physics exams through psychometrics: An exploratory study by Gerd Kortemeyer, Julian Nöhl

“…This study explores the use of artificial intelligence in grading high-stakes physics exams, emphasizing the application of psychometric methods, particularly item response theory, to evaluate the reliability of AI-assisted grading. …”
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An application of textual document classification for Arabic governmental correspondence

“…Natural language processing (NLP) has recently become one of the most significant fields in artificial intelligence (AI) thanks to recent advances in introducing transformer-based models. …”
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A literature review: AI models for road safety for prediction of crash frequency and severity by Muneeb Shehzad Butt, Muhammad Awais Shafique

“…Abstract Artificial intelligence and machine learning have brought a new paradigm in road safety, moving from the traditional approach to adopting data-driven techniques for predicting the frequency and severity of crashes. …”
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Civilian knowledge industries and the ascendance of small and medium-sized states in world politics by Nir Hassid, Eviatar Matania

“…Analyzing Israel’s commitment to securing these technological fields reveals government intervention aimed at cultivating sustainable knowledge industries and preserving critical knowledge. …”
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Systematic review railway infrastructure monitoring: From classic techniques to predictive maintenance by Giovanni Bianchi, Chiara Fanelli, Francesco Freddi, Felice Giuliani, Aldo La Placa

“…Recent Artificial Intelligence (AI) algorithms, which enable the use of digital tools such as Data-Driven models that can automatically adapt system operation, make decisions and suggest strategies based on collected data, form the basis of modern Predictive Maintenance (PdM). …”
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Carotid plaque segmentation and classification using MRI-based plaque texture analysis and convolutional neural network by Zakarya Hasan Ahmed Abu Alregal, Gehad Abdullah Amran, Ali A. Al-Bakhrani, Saleh Abdul Amir Mohammad, Amerah Alabrah, Lubna Alkhalil, Abdalla Ibrahim, Maryam Ghaffar, Maryam Ghaffar

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Opportunities and practices supporting responsive health care for forced migrants: lessons from transnational practice and a mixed-methods systematic review by Amy Robinson, Protus Musotsi, Ziaur Rahman A Khan, Laura Nellums, Bayan Faiq, Kofi Broadhurst, Gisela Renolds, Michael Pritchard, Andrew Smith

“…Forced-migrant participants were drawn from most continents of the world. Most interventions related to mental health. There was substantial heterogeneity in the design of interventions and practices, the health and institutional contexts of interventions, the participant groups and reported outcomes. …”
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Role of DECT-Based Imaging Biomarkers and Machine Learning to Predict Renal Cell Carcinoma Subtypes by Neha Baijal, Amit Gupta, Sanil Garg, Neel Yadav, Rohan R. Dhanakshirur, Kshitiz Jain, Chandan J. Das

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BREAST-RANKNet: a fuzzy rank-based ensemble of CNNs with residual learning for enhanced breast cancer detection from ultrasound and mammogram images by Sohaib Asif, Lingying Zhu, Dane Yan, Luman Xu, Zhengqiu Huang, Haimin Xu, Ruxuan Yan, Linghong Cai, Changfu Zheng, Jiamei Lin, Enyu Wang

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Fully automatic quantification of pulmonary fat attenuation volume by CT: an exploratory pilot study by Luca Salhöfer, Mathias Holtkamp, Francesco Bonella, Lale Umutlu, Johannes Wienker, Dirk Westhölter, Matthias Welsner, Christian Taube, Kaid Darwiche, Judith Kohnke, Jannis Straus, Nikolas Beck, Marko Frings, Sebastian Zensen, Rene Hosch, Giulia Baldini, Felix Nensa, Marcel Opitz, Johannes Haubold

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Digital Therapeutics for Cognitive Impairment: Exploring Innovations, Challenges, and Future Prospects by Grace Yuange Zang, Keqin Rao, Jing Wu, Yunhan He, Yi Tang, Leiyu Shi

“…This viewpoint explores the innovative applications of digital therapeutics in the assessment, intervention, management, and monitoring of cognitive disorders while highlighting key challenges that impede their widespread integration into clinical practice. …”
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A Study on Enhancing Transparency of Corporate Sustainable Procurement Based on Blockchain Technology by Wen Jiacheng

“…The results show that blockchain technology can significantly optimize the procurement management process, reduce the risk of human intervention, promote collaborative supply chain operations, and enhance consumer trust. …”
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MEDLIGHTNET: A LIGHTWEIGHT MULTI-COLOUR-SPACE CNN FOR CHILDHOOD MEDULLOBLASTOMA DIAGNOSIS FROM HISTOPATHOLOGICAL IMAGES by Ravindaran Maraya, C. M Chidambaranathan, P Muthusamy, B Victoria Jancee, R Sandhiya

“…Early and accurate diagnosis of Childhood MedulloBlastoma (CMB) is essential for timely intervention and improved prognosis. Histopathological image analysis has greatly benefited from the integration of artificial intelligence. …”
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AI-Driven Fire Detection and Suppression System with Real-Time Remote Monitoring by Metahri Dhiyaeddine, Dekar Amina, SettingsKadi Halima Bouchra

“…Our project aims to develop an intelligent solution using artificial intelligence AI to optimize these processes. …”
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The journey of playing: a qualitative evaluation of ‘Maze Out,’ a serious game for eating disorders by Maria Mercedes Guala, Helene Nygaard Nielsen, Kim Bul, David Clinton, Martina Scarpelli, Regina Christiansen, Finn Skårderud, Anette Søgaard Nielsen

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Psychological and cultural correlates of illness conception and menopausal symptoms: a cross-sectional and longitudinal comparative study of Mosuo, Yi, and Han women by Limin Gao, Limin Gao, Jinyi Wang, Ying Zhang, Xudong Zhao, Xudong Zhao, Haojie Fu, Haojie Fu

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