Privacy challenges of automated vehicles: Merging contextual integrity and responsible innovation frameworks by Dasom Lee, Le Anh Nguyen Long

“…This study broadens the understanding of privacy challenges for AVs by introducing a multilevel contextual integrity (MCI) model. MCI considers contextual integrity (CI) in tandem with societal preferences and individual level preferences, which is captured using demographic data. …”
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Prevalence of Prohibited Questions During Plastic Surgery Integrated Residency Interviews: Regional Analysis and Contextual Insights by Athena Zhang, MD, Esperanza Mantilla-Rivas, MD, Ashley E. Rogers, MD, Theodore S. Hyman, MD, Md Sohel Rana, MBBS, MPH, Albert K. Oh, MD, Lisa R. David, MD, Jeffrey E. Janis, MD, FACS, Gary F. Rogers, MD, JD, LLM, MBA, MPH

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Feasibility and acceptability of a contextualized brief psychological intervention for people with bipolar disorder in rural Ethiopia by Mekdes Demissie, Charlotte Hanlon, Lauren C. Ng, Rosie Mayston, Abebaw Fekadu

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Contextual Comparative Analysis of Dar es Salaam and Mombasa Port Performance by Using a Hybrid DEA(CVA) Model by Majid Mohammed Kunambi, Hongxing Zheng

“…<i>Background:</i> This research conducts a contextual comparative analysis between Dar es Salaam and Mombasa ports, employing a hybrid data envelopment analysis (DEA) model that integrates the contextual value-added approach (CVA). …”
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Leveraging Personalized Customer Experiences in Mobile Edge Computing Through Split Learning Using Smart Data-Driven Modeling by V. Vinoth Kumar, K. M. Karthick Raghunath, Iyappan Perumal, K. Manikandan

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Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations by Liuhui Quan, Minjie Wang, Lyu Baihang, Zhang Ziwen, Zhang Ziwen, Zhang Ziwen

“…To address these gaps, we propose a novel framework leveraging deep learning techniques tailored to railway big data. Our method integrates temporal encoders and spatial graph neural networks, combined with domain-specific knowledge and contextual awareness, to achieve robust anomaly detection, predictive maintenance, and passenger demand forecasting. …”
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Contextualizing Innovation Investor Behaviour Through Structural Simulation Modelling of Influential Factors

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BlindFG: Learning Contextual Fishing Trajectories for Unreported Fishing Gear Classification by Changha Lee, Chan-Hyun Youn

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Exploring contextual adaptations in caregiver interventions for families raising children with developmental disabilities. by Zsofia Szlamka, Charlotte Hanlon, Bethlehem Tekola, Laura Pacione, Erica Salomone, WHO CST Team, Chiara Servili, Rosa A Hoekstra

“…Participants were caregivers of children with DDs and professionals involved in adapting or implementing the CST across five continents and different income settings. Data were analysed thematically. Four main themes were developed: 1) Setting the scene for adaptations; 2) Integrating an intervention into local public services; 3) Understanding the reality of caregivers; 4) Challenges of sustaining an intervention. …”
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Link-State-Aware Proactive Data Delivery in Integrated Satellite–Terrestrial Networks for Multi-Modal Remote Sensing by Ranshu Peng, Chunjiang Bian, Shi Chen, Min Wu

“…This paper proposes multi-modal-MAPPO, a novel multi-modal deep reinforcement learning (MDRL) framework designed for a proactive data push in large-scale integrated satellite–terrestrial networks (ISTNs). …”
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Contextual factors in value-based decision support to enhance health technologies adoption: the case of biosimilars by Maximilian Otte, Maximilian Otte, Maximilian Otte, Zoltán Kaló, Zoltán Kaló, Zoltán Kaló, Hussain Abdulrahman Al-Omar, Meindert Boysen, Yingyao Chen, Ana Paula Beck Da Silva Etges, Ana Paula Beck Da Silva Etges, Guvenc Kockaya, Iñaki Gutierrez-Ibarluzea, Ahmed Mohammed Seyam, Deirdre Mullen, Deirdre Mullen, Hans-Peter Dauben, Hans-Peter Dauben, Hans-Peter Dauben

“…A Multi-Criteria Decision Analysis (MCDA) framework was proposed as a tool to systematically integrate measurable outcomes and intangible factors such as trust, perceived quality, and cultural acceptance.ResultsKey barriers identified included regulatory uncertainties, limited local evidence, regional data protection constraints, and patient preferences for originator biologics. …”
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Epidemiology and determinants of stillbirth disparities in India: a geospatial hotspot clustering study using integrated population-level dataResearch in context by U. Venkatesh, Om Prakash Bera, Ashoo Grover, Siddhant Shastri, Sayantan Chakraborty

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Prior contextual information and autistic traits influence eye gaze behaviour and emotional valence ratings for facial expressions by Özge Karakale, Nicole Nelson, Amina Gredelj, Kelly Jayne Ryan, Anil Bayindir

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Digital competence of faculty members in health sciences measured via self-reflection: current status and contextual aspects by Halil Ersoy, Cigdem Baskici, Aydan Aytar, Raimonds Strods, Nora Jansone Ratinika, António Manuel Lopes Fernandes, Hugo Neves, Aurelija Blaževičienė, Alina Vaškelytė, Camilla Wikström-Grotell, Heikki Paakkonen, Anne Söderlund, Johanna Fritz, Sultan Kav

“…This descriptive study aims to determine the digital competence level of faculty members who teach in the health sciences, empirically considering possible contextual aspects. Two data collection instruments were used: a self-reflection questionnaire to assess digital competence, and a survey querying demographics and aspects of teaching and learning context. …”
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RAG-Driven Memory Architectures in Conversational LLMs&#x2014;A Literature Review With Insights Into Emerging Agriculture Data Sharing by Nur Arifin Akbar, Rahool Dembani, Biagio Lenzitti, Domenico Tegolo

“…We analyze how vector databases and Retrieval-Augmented Generation (RAG) address fundamental challenges in storing and retrieving conversational context, maintaining system responsiveness, managing user-specific data ethically, and integrating domain-specific information. …”
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Interaction of contextual, setting and implementation factors on a podoconiosis intervention in Rural Ethiopia: Results from a qualitative study. by Kibur Engdawork, Getnet Tadele, Gail Davey, Papreen Nahar, Shahaduz Zaman

“…We conducted a qualitative evaluation of a podoconiosis intervention in Northwestern Ethiopia, and collected data on intervention implementation, context, setting and relations among these elements between 10/04/2022 and 29/07/2022. …”
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The contextual adaptation and educational impacts of the mhGAP-IG to address child mental and behavioral disorder treatment gap in China: A mixed-method study by Meng Zheng, Yi Zhang, Feng Chen, Ang Chen, Di Kong, Kun Xie, Jie Li, Brian James Hall, Andre M.N. Renzaho, Jian-hui Gao, Dao-meng Cheng, Qing Zou, Xin-yuan Zhong, Qi-mei Yu, Wen Chen

“…This study identified barriers and facilitators to mhGAP implementation and documented a contextual adaptation process, offering insights into integrating contextual adaptation methods with implementation science. …”
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Toward Standardised Construction Pipeline Data: Conceptual Minimum Dataset Framework by Elrasheid Elkhidir, James Olabode Bamidele Rotimi, Tirth Patel, Taofeeq D. Moshood, Suzanne Wilkinson

“…The analysis examines four dimensions of data quality: accessibility, intrinsic quality, contextual relevance, and representational clarity. …”
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Integration of warrior artificial intelligence and leadership reflexivity to enhance decision-making by Walter Matli

“…This study adds to the existing body of knowledge by illustrating that, with the aid of a flow diagram, the integration of warrior AI into the reflective process can potentially amplify the benefits of AI, offering data-driven insights for leaders to reflect upon, thereby reinforcing the decision-making process with a more rigorous, ethical, and nuanced approach in alignment with organizational objectives and societal values. …”
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Integration of artificial intelligence in nursing education: a cross-national exploration by Mohammed Almalki, Lailani Sacgaca, Petelyne Pangket, Eddieson Pasay-an, Shereen Hussein Deep, Georgina Maskay, Lizy Sonia Benjamin, Sahar Mahmoud Abdulla Hashim, Analita Gonzales, Rosalyn Rosal, Maysa Mohsen, Romeo Mostoles, Grace Ann Lim Lagura

“…This study addressed this gap by determining the impact of AI integration in nursing education. Methods Participants included 1021 nurse educators from the Philippines, Saudi Arabia, India, and Egypt, with data collected between January and March 2025. …”
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