A Survey on Automatic Face Recognition Using Side-View Face Images by Pinar Santemiz, Luuk J. Spreeuwers, Raymond N. J. Veldhuis

“…This survey comprehensively investigates methods addressing pose variations up to side-view and categorizes research efforts into feature-based, image-based, and set-based pose handling. …”
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Transformation of educational philosophy: an evaluation of higher education management innovation against the background of Big Data by Zichen Xu, Shi Cheng

“…Through the new ideas, methods and tools brought by Big Data technology to Higher Education Management, it was demonstrated that BD technology supported the development of innovative teaching mode, provided a positive learning environment and reduces management costs. …”
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Telesimulation on suicide postvention: evaluation of educational practices, satisfaction, self-confidence, and debriefing by Laysa Fernanda Silva Pedrollo, Aline Conceição Silva, Elaine Cristina Negri, Kelly Graziani Giacchero Vedana

“…Conclusion: Participants positively evaluated the educational practices, satisfaction, self-confidence, and debriefing in the telesimulation, suggesting that this could be a viable alternative for simulation-based education on suicide postvention.…”
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Evaluation of Lateral Triangular Flaps When Combined With Bilateral Superficial Epigastric Artery Flap for Shaft-only Penile Reconstruction by Ashraf El Eebaie Mohamed, MD, PhD, Ahmed Abdelsalam Hafez Hamza, MD, PhD, Mohammed Ahmed Hussein, MD, PhD

“…Two triangular flaps were designed at the base of the main rectangular flap to facilitate further mobilization of the neophallus. …”
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The Contribution of the Face-Name Associative Recognition Test to Objectifying the Impairment of Associative Memory in Subjective Cognitive Decline by Joël Macoir, Pascale Tremblay, Carol Hudon

“…Results: The total score of the HC group in the FNART was significantly better than that of the SCD group. Moreover, analyses based on the serial position of the stimuli showed that the SCD group performed significantly worse than the HC group only for the middle items (stimuli placed at the beginning or end of learning lists are more likely to be recalled than those presented in the middle), while no primacy and recency effects were found in the HCs. …”
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OriLoc: Unlimited-FoV and Orientation-Free Cross-View Geolocalization by Boni Hu, Haowei Li, Shuhui Bu, Lin Chen, Pengcheng Han

“…Cross-view image-based geolocalization enables accurate, drift-free navigation without external positioning signals, crucial for UAV delivery and disaster relief. …”
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Integrative network analysis reveals novel moderators of Aβ-Tau interaction in Alzheimer's disease by Akihiro Kitani, Yusuke Matsui, for the Alzheimer’s Disease Neuroimaging Initiative

“…Methods Proteomic data from the ROSMAP cohort were integrated with protein–protein interaction (PPI) data using a Deep Learning-based model. …”
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Evaluating the Impact of Generative AI in Mathematics Education: A Comparative Study in Vietnamese High Schools by Son Ha Xuan, Anh Tuan Nguyen, Thau Nguyen, Ly Nguyen, Hung Nguyen, Nghiem Pham, Trinh Phung, Bang Ngo, Vinh Nguyen, Minh Nguyen, Thuan Tran, Tung Le, Kha Nguyen, Pratima FNU

“…In response, this study explores the integration of artificial intelligence (AI) in education, particularly focusing on developing countries like Vietnam. AI-based solutions, including personalized learning experiences, scalability, and resource optimization, are posited as viable answers to the challenges faced by traditional educational systems. …”
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Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models. by Zenglei Liu, Ailian Gao, Hui Sheng, Xueling Wang

“…Nevertheless, manual examination is sometimes arduous, time-consuming, and prone to errors. Deep learning-based methods have recently demonstrated encouraging results in several areas, such as image categorization and natural language mining. …”
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Understanding viewers’ purchase of intangible cultural heritage (ICH) products: a perspective of the Means-End Chain (MEC) framework by Bo Zhang, Yannan Zhang

“…The results revealed that (1) Both parasocial interaction and vicarious learning have a positive effect on perceived value; (2) Perceived value positively predicts purchase intention; (3) Perceived enjoyment negatively moderates the effects of parasocial interaction and vicarious learning on perceived value. …”
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Explainable handcrafted features for mitotic event detection and classification by Panason Manorost, Thomas Deckers, Veerle Bloemen, Jean Marie Aerts

“…To minimize false positive detections, a machine learning-based modeling approach was developed and tested on two large datasets, one public dataset containing phase contrast images and another containing lens-free images. …”
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Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis by Termeh Sarrafan Sadeghi, Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Parnian Shobeiri, Saeed Reza Motamedian

“…Abstract Background Artificial intelligence (AI) methods, including machine learning and deep learning, are increasingly applied in orthodontics for tasks like assessing skeletal maturity. …”
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Transforming education: tackling the two sigma problem with AI in journal clubs – a proof of concept by Fahad Umer, Nighat Naved, Azra Naseem, Ayesha Mansoor, Syed Murtaza Raza Kazmi

“…Abstract Introduction Journal clubs are integral to continuing medical education, promoting critical thinking and evidence-based learning. However, inconsistent engagement, reliance on faculty expertise, and the complexity of research articles can limit their effectiveness. …”
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High resolution models of transcription factor-DNA affinities improve in vitro and in vivo binding predictions. by Phaedra Agius, Aaron Arvey, William Chang, William Stafford Noble, Christina Leslie

“…We used a novel -mer based string kernel called the di-mismatch kernel to represent probe sequence similarities. …”
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A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting by Jing Liu, Qingling He, Zhikun Yue, Yulong Pei

“…Second, we introduce a hybrid mechanism combining dimensional small-hole imaging backward learning and Cauchy mutation, which improves the diversity of the individual sparrow selection of optimal positions and helps overcome the algorithm’s tendency to become trapped in local optima and premature convergence. …”
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Monitoring Vegetation Dynamics in Desertification Restoration Areas of Wuzhumuqin Grassland Ecosystem by Fuguang Yang, Zhiguo Wang, Yongguang Zhai, Xiangli Yang, Tengfei Bao, Yonghui Wang

“…The kernel Normalized Difference Vegetation Index-position-temporal awareness transformer (<i>kNDVI</i>-PT-Former) model monitoring method based on two-phase remote sensing image features combined with <i>kNDVI</i> for spatio-temporal feature extraction can accurately obtain the vegetation changes in desertification ecological restoration in Wuzhumuqin grassland. …”
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Does a virtual simulation teaching platform improve surgical training for medical undergraduate students? by Jie Liu, Tingting Hu, Ke Xu, Zihui Cheng, Wenjie Bu, Aiqin Lin

“…Abstract Background The practical teaching of surgery is a critical component of medical education, but traditional teaching methods often lack the interactive, hands-on experience necessary to master surgical techniques.The advent of virtual simulation technology offers the opportunity to enhance traditional teaching methods by providing students with a more immersive and interactive learning experience. …”
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Exploring the Application of Neurostructural Principles to the Design of Public Spaces on University Campuses by Qihang Zhou, Xingxing Fang

“…Data were analyzed using quantitative methods, including frequency analysis and score aggregation, to assess the students’ satisfaction with the existing design elements of the learning space and their suggestions for potential improvements. …”
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Exploring the Use of Associative Analogy Teaching in BME Computer Courses in Medical University by Qi F, Chen Y, Li Z, Lei T, Wang J, Lu G

“…A “Microcomputer Principles and Interface Technology” course was taken as a typical example to explore a new teaching method based on the idea of associative analogy.Methods: Associative analogy was used as a core teaching principle. …”
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Hyperclustering: High-Order Deep/Shallow Feature Clustering for Subway Shield Tunneling Water Leakage Detection by Jianjun Xu, Xing Yuan, Lixiao Zheng, Da Lin

“…It combines deep and shallow learning methods to identify high-quality features that capture the unique characteristics of tunneling operations and leakage events. …”
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