Eating habits and carotenoid skin content among children based on their attendance at the school meals: A cross-sectional pilot study by Giovanna Caparello, Fabrizio Ceraudo, Francesca Meringolo, Giuseppina Augimeri, Giuseppe Morino, Daniela Bonofiglio

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Preparing physiotherapists for the future: the development and evaluation of an innovative curriculum by Niki Stolwijk, Anne van Bergen, Evy Jetten, Marjo Maas

“…The PACE concept features an integrated approach to learning and assessment based on pre-set learning outcomes, personalized learning goals, flexible learning routes, and programmatic assessment. …”
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DMAC: Discovering Multi-Attribute Correlations of Deep Quality Features for Defect Detection in Mechanical Components by Yue Yu

“…DMAC advances the state-of-the-art by constructing a large-scale hypergraph to model the complex, multi-attribute relationships among defect features, uncovering high-order interactions that traditional methods cannot detect. Additionally, a Gaussian Mixture Model (GMM)-based posterior probability is used to rank candidate patches for defect detection, prioritizing high-risk areas and minimizing false positives. …”
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A Mental Approach to Digital Transformation of Education by N. I. Pak

“…The contours of the mental approach in education, which allows the organization of the educational process on the basis of the means and methods of teaching, based on the foundation of mental schemes of thinking, are outlined. …”
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Wi-FiAG: Fine-Grained Abnormal Gait Recognition via CNN-BiGRU with Attention Mechanism from Wi-Fi CSI by Anming Dong, Jiahao Zhang, Wendong Xu, Jia Jia, Shanshan Yun, Jiguo Yu

“…Specifically, we propose a deep learning-based framework for multi-class abnormal gait recognition, comprising three key modules: data collection, data preprocessing, and gait classification. …”
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Analisis Sentimen terhadap Kebijakan Kuliah Daring Selama Pandemi Menggunakan Pendekatan Lexicon Based Features dan Support Vector Machine by Natasya Eldha Oktaviana, Yuita Arum Sari, Indriati Indriati

“…Sentiment analysis is useful for determining the timeliness of system computing in discussions on Twitter regarding online learning policies that tend to have negative or positive sentiments using the Support Vector Machine and Lexicon Based Features methods. …”
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Online Autonomous Motion Control of Communication-Relay UAV with Channel Prediction in Dynamic Urban Environments by Cancan Tao, Bowen Liu

“…Considering that in practical applications, the radio frequency (RF) channel parameters in complex urban environments are difficult to obtain in advance and are constantly changing, an estimation algorithm based on Gaussian process learning is proposed for online evaluation of the wireless channel parameters near the current position of the UAV; for the optimal relay position search problem, in order to improve the real-time performance of the method, a line search algorithm and a general gradient-based algorithm are proposed, which are used for point-to-point communication and multi-node communication scenarios, respectively, reducing the two-dimensional search to a one-dimensional search, and the stability proof and convergence conditions of the algorithm are given. …”
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Extraction of Clinically Relevant Temporal Gait Parameters from IMU Sensors Mimicking the Use of Smartphones by Aske G. Larsen, Line Ø. Sadolin, Trine R. Thomsen, Anderson S. Oliveira

“…As populations age and workforces decline, the need for accessible health assessment methods grows. The merging of accessible and affordable sensors such as inertial measurement units (IMUs) and advanced machine learning techniques now enables gait assessment beyond traditional laboratory settings. …”
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Remote Sensing Scene Classification using ConvNeXt-Tiny Model with Attention Mechanism and Label Smoothing by Rachmawan Atmaji Perdana, Aniati Murni Arimurthy, Risnandar

“…This study focuses on solving the RSSC problem by proposing a deep learning-based method (CNN) with the ConvNeXt-Tiny model integrated with Efficient Channel Attention Module (ECANet) and label smoothing regularization (LSR). …”
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DE-Net: A Dual-Encoder Network for Local and Long-Distance Context Information Extraction in Semantic Segmentation of Large-Scale Scene Point Clouds by Zhipeng He, Jing Liu, Shuai Yang

“…However, this task remains challenging due to the imbalanced distribution of categories in large-scale point cloud data and the similarity in local geometric structures. Most current deep learning–based methods concentrate on designing local feature extraction modules while neglecting the significance of long-distance contextual information. …”
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Psychological experiences of parents of adolescent patients with non-suicidal self-injury: a qualitative study based on Bronfenbrenner’s ecological systems theory by Ya-Li Hu, Yue Shi, Gui-Zhi Qiao, Yan Sun

“…The following four main themes emerged from the interview data: micro-system—coexistence of caregiver distress and growth (persistent negative emotions, positive experiences after self-adjustment, learning about mental illness, and improved disease management capabilities); meso-system—lifestyle changes (forced abandonment of social life, influence on other children, financial burden, and change in family atmosphere); exo-system—weak support system (limited resources of psychiatric services and desire for more supports); and macro-system—cultural environment. …”
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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. …”
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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. …”
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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. …”
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Diverse Counterfactual Explanations (DiCE) Role in Improving Sales and e-Commerce Strategies by Simona-Vasilica Oprea, Adela Bâra

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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

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Towards a safer culture: implementing multidisciplinary simulation-based team training in New Zealand operating theatres - a framework analysis by Tanisha Jowsey, Carmen Skilton, Jane Torrie, Alan Merry, Peter Beaver, Jennifer Long, A L Garden, Kaylene Henderson, Jennifer Weller

“…The multidisciplinary, simulation-based approach to team training was deemed a fundamental infrastructure for learning, with participants especially valuing the realistic in situ simulations and educational support. …”
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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.…”
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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

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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. …”
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