How does teacher self-efficacy mediate the relationship between student outcomes and principal leadership for learning? Results from meta-analytic structural equation modelling (MA... by Mehmet Ozdogru, Tijen Tulubas, Turgut Karakose, Sedat Kanadlı, Abdurrahman Kardas, Stamatios Papadakis

“…These results reiterate the significance of principals' leadership for learning to facilitate student outcomes and suggest that the integrated practice of leadership in accordance with contextual requirements could leverage the effectiveness and improvement of schools.…”
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Perspectives of undergraduate module convenors at a South African academic institution on medical student training in evidence-based health care: a qualitative study by Taryn Young, Anke Rohwer, Jimmy Volmink, Mike Clarke

“…Faculty convening medical undergraduate teaching modules were purposively sampled. Data collection was done using focus-group or individual interviews. …”
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Utilizing GCN-Based Deep Learning for Road Extraction from Remote Sensing Images by Yu Jiang, Jiasen Zhao, Wei Luo, Bincheng Guo, Zhulin An, Yongjun Xu

“…Subsequently, a hybrid adjacency matrix construction method is proposed, based on gradient operators and graph reasoning. This method integrates similarity and gradient information and employs graph convolution to capture the global contextual relationships among features. …”
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The Evolution of Education, Birth Rate, and Drug Dependence and their Implications for the National Security by Moraru Teodora-Ioana

“…The research findings support the need for integrated public policies in the fields of education, health, and security, based on contextual diagnosis and preventive intervention.…”
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Leveraging Machine Learning for Enhanced Bug Triaging in Open-Source Software Projects by Nitanta Adhikari, Rabindra Bista, Joao Carlos Ferreira

“…Our primary contribution is the development of an Augmented Bidirectional LSTM model that integrates enriched textual features and contextual metadata. …”
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Research on a denoising model for entity-relation extraction using hierarchical contrastive learning with distant supervision by Ayiguli Halike, Aishan Wumaier, Kahaerjiang Abiderexiti, Tuergen Yibulayin

“…Specifically, a three-layer learning architecture is designed, which incorporates interactions at different levels and employs a multi-head self-attention mechanism to generate denoised context-aware representations, referred to as multi-granular re-contextualization. Additionally, a dynamic gradient adversarial perturbation data augmentation strategy is introduced to provide pseudo-positive samples for contrastive learning, further enhancing the model’s capabilities in recognizing rare relations. …”
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Toxic trajectories: Modeling heavy metal-laden phosphate dust dispersion and multi-receptor health risks near Kpémé’s industrial zone by Daouda Sama, Pamane Kpiagou, M’bènibé Gmakouba, Lipoublida Djagre, Agbessi Gerard Gnagamago, Laounwi Lakmon, Aboudoulatif Diallo, Kissao Gnandi

“…Current approaches fail to resolve atmospheric dispersion dynamics of toxic metal-laden TSP (e.g., Cd, Hg) or contextualize exposure risks for vulnerable receptors, leaving critical data gaps in meteorology and region-specific standards. …”
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A Participatory Governance Model for Comprehensive Conservation of Historical Buildings and Urban Fabric: A Grounded Theory Approach by Somayyeh Ghadimzadeh, Elnaz Abizadeh, Mahdiyeh Rahnemay Toori

“…In the selective coding phase, these subcategories were integrated to form 26 main categories, which were then structured into 5 sections within the paradigm model: causal conditions (4 categories), contextual conditions (5 categories), intervening conditions (5 categories), strategies (7 categories), and consequences (5 categories).   …”
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Top 10 Research Lessons Learned From a Digital Child-Rearing Program in Low- and Middle-Income Countries: Multicase Study by Haley M LaMonica, Victoria Loblay, Adam Poulsen, Gabrielle Hindmarsh, Mafruha Alam, Mahalakshmi Ekambareshwar, Qaisar Khan, Yun J C Song, Jacob J Crouse, Chloe Wilson, Madelaine Sweeney-Nash, Olivia Iannelli, Aila Naderbagi, Iqthyer U Zahed, Adam Yoon, Mujahid Torwali, Jakelin Troy, Ian B Hickie

“…Data analysis for each case occurred over 3 phases, including qualitative data analysis and reporting, data synthesis to inform the transfer of learnings to the program, and, finally, a secondary analysis relating to program theory, stakeholder engagement, and the refinement of the program as they related to, interacted with, and were influenced by context. …”
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At the Southern limit: the Arenal Central site and the Guaraní occupation of the Paraná Delta (Argentina) by Daniel Loponte, Mirian Carbonera, Fernanda Schneider, Neli Machado, Aline Bertoncello, Maicon Telles Szczygel, Alejandro Acosta, Barbara Mazza, Sheila Alí, Isabel Capparelli

“…The results are integrated with previously known data to examine key aspects of Guaraní colonization, including chronology, subsistence strategies, resource acquisition, hunting ranges, and settlement spatial distribution, contributing to a new synthesis of Guaraní archaeology at the southernmost extent of their expansion in South America. …”
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ModFus-PD: synergizing cross-modal attention and contrastive learning for enhanced multimodal diagnosis of Parkinson’s disease by Xiangze Teng, Xiangze Teng, Xiangze Teng, Xiang Li, Xiang Li, Xiang Li, Benzheng Wei, Benzheng Wei, Benzheng Wei

“…The framework comprises three key components: (1) a contrastive learning-based feature alignment module that projects MRI data and clinical text prompts into a unified embedding space via pretrained image and text encoders; (2) a bidirectional cross-modal attention module in which textual semantics guide MRI feature refinement for improved sensitivity to PD-related brain regions, while MRI features simultaneously enhance the contextual understanding of clinical text; (3) a hierarchical classification module that integrates the fused representations through two fully connected layers to produce final PD classification probabilities. …”
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Semi-Supervised Salient Object Detection for Side-Scan Sonar Images via Entropy-Based Uncertainty and Contrastive Learning by Shenao Yuan, Zhen Wang, Fu-Lin He, Shan-Wen Zhang

“…Our method aims to improve the quality of pseudo-labels and the overall performance of the model using a small amount of labeled data. Specifically, we design an uncertainty map evaluation module that effectively extracts global contextual information through an entropy-based partition loss and a contrastive learning mechanism, integrated with the uncertainty map to handle the complex underwater background. …”
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Spatial Downscaling of Sea Level Anomaly Using a Deep Separable Distillation Network by Senmin Shi, Yineng Li, Yuhang Zhu, Tao Song, Shiqiu Peng

“…To address these issues, we propose a Deep Separable Distillation Network (DSDN) that integrates Depthwise Separable Distillation Blocks (DSDB) and a Landmask Contextual Attention Mechanism (M_CAMB) to achieve efficient and accurate spatial downscaling. …”
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Transdisciplinary complexity science: deepening system understanding for sustainability by Lynn A. de Jager, Michèlle Bal, Mara Baudena, Karlijn L. van den Broek, Natalie Davis, Henk A. Dijkstra, Ine Dorresteijn, Carlijn B. M. Kamphuis, Ioanna Lykourentzou, Ángeles G. Mayor, Elisa Omodei, Carla Alvial Palavicino, Marijn Stok, Anne R. van Bruggen, Claudia E. Wieners, Silja Zimmermann, Brian J. Dermody

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Scientific Illustration: from Informational Support to a Culture of Participation by D. K. Lisovsky

“…This is due to constantly changing technical and technological means of presenting scientific data, as well as a change in the communicative space of science itself. …”
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Damage Identification of Conduit Rack in Offshore Platform Structures Based on a Novel Composite Neural Network by Jiaqiang Yan, Yuanchao Qiu, Renhe Shao, Ziqiao Ling, Ruixiang Zhang

“…However, traditional methods have limitations in dealing with the time series data in the feature information. To improve the application of the time series information generated from offshore platform structures in damage modes, we propose a new integrated deep learning network model, which is used to improve the accuracy of the damage mode recognition based on the acceleration information of the conduit rack structure. …”
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Urban walkability through different lenses: A comparative study of GPT-4o and human perceptions. by Musab Wedyan, Yu-Chen Yeh, Fatemeh Saeidi-Rizi, Tai-Quan Peng, Chun-Yen Chang

“…However, these approaches often fail to capture the subjective and emotional dimensions of walkability, due to their limited ability to integrate human-centered perceptions and contextual understanding. …”
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MS-trust: a transformer model with causal-global dual attention for enhanced MRI-based multiple sclerosis and myelitis detection by Salha M. Alzahrani

“…This paper presents MS-Trust that features a causality attention block to maintain the sequential integrity of MRI data and a global attention block to capture long-range dependencies and global contextual information, with squeeze-and-excitation block to recalibrate channel-wise feature responses. …”
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The lived experiences of pediatric nursing students following high-fidelity simulations and problem-based learning sessions by Sadeg Aldolaim, Latifa Abdullah Aldossary, Ibtihal Abdulhadial Almomin, Areej Abdulghani Haitham

“…Results Four themes emerged from the data: (1) Benefits of HFS and PBL, describing enhanced clinical confidence, decision-making, and practical skills; (2) Effect of Integrative Learning, highlighting the meaningful connection between theory and practice through guided reflection and teamwork; (3) Challenge to Respond to the Real Child, reflecting students’ concerns about applying simulation-learned skills in emotionally demanding pediatric settings; and (4) Necessity of Collaboration, underscoring the importance of interdisciplinary engagement and broader clinical exposure. …”
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Strategic Business Management and Its Role in the Formalization of Micro and Small Enterprises in Emerging Economies by Uldarico Inocencio Aguado-Riveros, Sonia Luz Barzola-Inga, Carlos Antonio Adauto-Justo, Diana Pariona-Amaya, Luis Enrique Espinoza-Quispe, Luis Alberto Poma-Lagos, Vicente González-Prida, Javier Amador Navarro-Veliz

“…These findings suggest the implementation of integrated policies that improve the availability, accessibility, and quality of resources and services offered to MSEs.…”
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