Educational Intervention “Open Conversation and Reflection” to Enhance Person-Centeredness in Acute Geriatric Wards: A Qualitative Study of Consequences and Processes by Karen Versluys, Sarah Janssens, Mieke Grypdonck, Let Dillen, Nele Van Den Noortgate, Linus Vanlaere, Ruth Piers

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Deep Neural Network-Based Design of Planar Coils for Proximity Sensing Applications by Abderraouf Lalla, Paolo Di Barba, Sławomir Hausman, Maria Evelina Mognaschi

“…This study develops a deep learning procedure able to identify a planar coil geometry, given the desired magnetic field map. …”
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COMPARISON OF DATASET OVERSAMPLING ALGORITHMS AND THEIR APPLICABILITY TO THE CATEGORIZATION PROBLEM by Denys Teslenko, Anna Sorokina, Artem Khovrat, Nural Huliiev, Valentyna Kyriy

“… The subject of research in the article is the problem of classification in machine learning in the presence of imbalanced classes in datasets. …”
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Navigating artificial intelligence in home healthcare: challenges and opportunities in nursing wound care by Sara Karnehed, Ingrid Larsson, Lena Petersson, Lena-Karin Erlandsson, Daniel Tyskbo

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Prediction of peripheral blood lymphocyte subpopulations after renal transplantation by Bo Peng, Xuyu Xiang, Han Tian, Kaiqiang Xu, Quan Zhuang, Junhui Li, Pengpeng Zhang, Yi Zhu, Min Yang, Jia Liu, Yujun Zhao, Ke Cheng, Yingzi Ming

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Transmettre l’anthropologie à travers l’enquête collective et partenariale by Olivier Givre, Marina Chauliac

“…It shows how, by producing genuine relational modalities between students, teachers and partners, and assuming the inductive and experimental dimensions of the learning/teaching situations, this programme questions the stakes of professionalizing anthropology but also renews the teaching and learning of anthropology.…”
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Instructor perspectives on modifying a global diversity awareness syllabus for online teacher professional education delivery: evidence from two Indonesian universities by Yusuf Hanafi, Muhammad Saefi, M. Alifudin Ikhsan, Tsania Nur Diyana, Fatiya Rosyida, Slamet Arifin, Herlina Ike Oktaviani

“…Evaluation and improvement of instructional quality in online settings are often conducted only after students have been exposed to learning interventions, making it difficult to anticipate and prevent undesirable outcomes. …”
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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…Introduction: Artificial intelligence (AI) is defined as an artificial entity capable of solving problems, learning from experience, and performing tasks such as pattern recognition and inductive reasoning. …”
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Contaminant Transport Modeling and Source Attribution With Attention‐Based Graph Neural Network by Min Pang, Erhu Du, Chunmiao Zheng

“…In five synthetic case studies that involve varying monitoring networks in heterogeneous aquifers, aGNN is shown to outperform LSTM‐based (long‐short term memory) and CNN‐ based (convolutional neural network) methods in multistep predictions (i.e., transductive learning). It also demonstrates a high level of applicability in inferring observations for unmonitored sites (i.e., inductive learning). …”
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DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data by Yuhang Xia, Zhiwei Wang, Feng Huang, Zhankun Xiong, Yongkang Wang, Minyao Qiu, Wen Zhang

“…However, recent studies revealed that structural information can be learned from the vast amount of sequence data, indicating that the interaction prediction can benefit from the abundance of antigen and antibody sequences. …”
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GIVTED-Net: GhostNet-Mobile Involution ViT Encoder-Decoder Network for Lightweight Medical Image Segmentation by Resha Dwika Hefni Al-Fahsi, Ahmad Naghim Fauzaini Prawirosoenoto, Hanung Adi Nugroho, Igi Ardiyanto

“…Applying a deep learning-based model for medical image segmentation on resource-constrained devices involves substantial challenges. …”
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Optimal shapelets tree for time series interpretable classification by Lorenzo Bonasera, Stefano Gualandi

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A Comprehensive Review of Shaft Voltages and Bearing Currents, Measurements and Monitoring Systems in Large Turbogenerators by Katudi Oupa Mailula, Akshay K. Saha

“…This study further explores the integration of artificial intelligence and machine learning in predictive maintenance, leveraging real-time condition monitoring and fault diagnostics. …”
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Data-Driven Robust Tracking Control for Multi-Player Nonzero-Sum Games With Constrained Inputs by Jingang Zhao, Jun Zhao, Yehan Chang, Guosheng Xu

“…The weights of the neural network are learned using the least squares method from the input and state data collected from the system. …”
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Multimodal driver emotion recognition using motor activity and facial expressions by Carlos H. Espino-Salinas, Huizilopoztli Luna-García, José M. Celaya-Padilla, Cristian Barría-Huidobro, Nadia Karina Gamboa Rosales, David Rondon, Klinge Orlando Villalba-Condori

“…This study introduces a methodology to recognize four specific emotions using an intelligent model that processes and analyzes signals from motor activity and driver behavior, which are generated by interactions with basic driving elements, along with facial geometry images captured during emotion induction. The research applies machine learning to identify the most relevant motor activity signals for emotion recognition. …”
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Making sense of transformer success by Nicola Angius, Pietro Perconti, Alessio Plebe, Alessandro Acciai

“…In particular, available experimental studies turned to test the theory of mind, discourse entity tracking, and property induction in NLMs are examined under the light of the functional analysis in the philosophy of cognitive science; the so-called copying algorithm and the induction head phenomenon of a Transformer are shown to provide a mechanist explanation of in-context learning; finally, current pioneering attempts to use NLMs to predict brain activation patterns when processing language are here shown to involve what we call a co-simulation, in which a NLM and the brain are used to simulate and understand each other.…”
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From One Domain to Another: The Pitfalls of Gender Recognition in Unseen Environments by Nzakiese Mbongo, Kailash A. Hambarde, Hugo Proença

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Wavelet-Guided Multi-Scale ConvNeXt for Unsupervised Medical Image Registration by Xuejun Zhang, Aobo Xu, Ganxin Ouyang, Zhengrong Xu, Shaofei Shen, Wenkang Chen, Mingxian Liang, Guiqi Zhang, Jiashun Wei, Xiangrong Zhou, Dongbo Wu

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LSTM and ResNet18 for optimized ambulance routing and traffic signal control in emergency situations by Madallah Alruwaili, Ali Ali, Mohammed Almutairi, Abdulaziz Alsahyan, Mahmood Mohamed

“…Visual data is processed through a ResNet18 convolutional neural network, pre-trained on ImageNet using inductive transfer learning. The outputs from the auditory and visual streams are integrated using empirical risk minimization, enabling accurate ambulance detection through multimodal data fusion. …”
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Detection of Electrical Fires in Residential Buildings Using a Gradient Boosting Machine Algorithm by Sharaban Taha Ahmed, Fadhil Aula

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