Metering Automation System 3.0 Base Version Based on Machine Learning by Sheng Li, Leping Zhang, Hang Dai, Lukun Zeng, Yuan Ai, Shuang Qi, Yuanzhai Cui

“…However, traditional machine learning methods and standalone deep learning architectures struggle to balance spatiotemporal feature extraction, computational efficiency, and deployment constraints for high-frequency multivariate metering data. This study proposes a hybrid DSCNN-CBAM-BiLSTM framework that synergistically integrates depthwise separable convolutions, dual attention mechanisms, and bidirectional temporal modeling to address these challenges. …”
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Identity development and adaptation in adolescents with genetic conditions: a qualitatively oriented mixed-methods study to develop strategies for optimizing clinical genetics serv... by Tasha Wainstein, Cyrus Boelman, Connie Ens, William T. Gibson, Kevin Gregory-Evans, Olubayo U. Kolawole, Sheila K. Marshall, Kathryn Selby, GenCOUNSEL Study, Alison M. Elliott, Jehannine Austin

“…We used phronetic iterative analysis to interrogate interview data. Qualitative and quantitative components were integrated through abduction. …”
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Responsiveness to the Context: Information–Task–Situation Decisional Strategies and Electrophysiological Correlates by Angelica Daffinà, Carlotta Acconito, Michela Balconi

“…Decision-making, defined as a cognitive process involving the selection of a course of action among several alternatives, is pivotal in personal and professional life and is founded on responsiveness to the context of decisional strategies—in terms of pieces of contextual features collected, evaluated, and integrated. …”
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Enhancing security and usability with context aware multi-biometric fusion for continuous user authentication by Ayeswarya S., John Singh K.

“…Abstract In this paper, we present a novel continuous authentication system that integrates keystroke dynamics and gait biometrics through a multi-modal fusion framework. …”
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Character Education Based on Islamic Local Wisdom: A Case Study of Aswaja Value Internalization in a Madrasah Aliyah by Fahrurrozi Fahrurrozi, Mujamil Qomar, Sokip Sokip

“…Using a qualitative case study approach, data were collected through interviews, participant observation, and document analysis. …”
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Strategic pathways for innovation and sustainability in digital transformation: Insights from leading global companies by Ikram Abbes

“…In today's rapidly evolving digital era, organizations are increasingly challenged to integrate advanced technologies with sustainability and corporate responsibility. …”
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Colombian centenarians: A Geohealth approach to longevity study. by Clímaco de Jesús Pérez-Molina, Flor Elena Chavarro-Bermeo, Luis-Fernando Gutiérrez-Fernández, Santiago Galvis-Villamizar, Wanderley Augusto Arias Ortiz, Laura Cabezas-Pinzón, Carlos-Felipe Escobar-Roa

“…The study focused on the population over 95 years old, adopting an approach that integrates data from the 2018 Census and geospatial analysis techniques.…”
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Jack Mezirow Transformative Learning in Islam: A Case Study of Micro-Credential Perceptions and Students' Lifelong Learning by Rahmat Lutfi Guefara, Robingun Suyud El Syam, Mohammad Ardin Suwadi

“…The impact of this research is to increase higher quality Islamic education learning with a multidisciplinary approach. Keywords: Contextual, Integrated science, Transformative Learning, Micro-Credentialing, Lifelong Learning, …”
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Multi-sensor fusion for AI-driven behavior planning in medical applications by Chang Jianming, Qin Yuanyuan, Qin Yuanyuan, Xu Yanling, Li Li, Li Li, Wu Mianhua, Wu Mianhua, Wang Lulu

“…Such limitations pose critical challenges for real-time decision-making in medical applications, where precision, reliability, and adaptability are paramount.MethodsTo address these challenges, we propose an Adaptive Probabilistic Fusion Network (APFN), a novel framework that dynamically integrates multi-modal sensor data based on estimated sensor reliability and contextual dependencies. …”
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Semi-Supervised Taxonomy Expansion and Completion in Dynamic Taxonomies by Sabur Butt, Gustavo De los Ríos Alatorre, Luis José González Gómez, Hector G. Ceballos

“…These findings underline the necessity for improved data representation strategies and the incorporation of contextual enrichment to enhance taxonomy robustness.…”
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Challenges and Strategies in Healthcare Workforce Management: A Scoping Review by Ali Mohammad Mossadeghrad, Shervin Mossavarali, Seyed Hamid Hosseini Neishabouri, Arman Khanjani, Shabnam Afraz, Alireza Jafari Azad, hoda Ghobeishipour

“…Data analysis was conducted using the Ritchie and Spencer framework analysis method. …”
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Interpersonal Relationship Detection Using Multi-Head Graph Attention Networks With Multi-Feature Fusion by Simge Akay, Duygu Cakir, Nafiz Arica

“…While significant advances have been made in face recognition and object detection, understanding the complex dynamics of human relationships requires a detailed approach that can integrate multiple visual and contextual cues. This paper presents a novel Multi-Head Graph Attention Network (MHF-GAT) with Multi-Feature Fusion for interpersonal relationship detection (IRD) from images. …”
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Perceived cultural ecosystem services in Zaribar Coastal Park: Implications for tourist well-being by Arman Rastkhadiv, Aisa Fouladi, Jafar Bapiri

“…Practically, the findings underscore the need for tourism planners and policymakers to integrate cultural ecosystem services into destination design and management strategies. …”
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Enhancing book genre classification with BERT and InceptionV3: a deep learning approach for libraries by Xinting Yang, Zehua Zhang

“…Specifically, we employ InceptionV3, an advanced convolutional neural network architecture, to extract visual features from book cover images and bidirectional encoder representations from transformers (BERT) to analyze textual data from book titles. A scaled dot-product attention mechanism is used to effectively fuse these multimodal features, dynamically weighting their contributions based on contextual relevance. …”
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Digital competence and digital entrepreneurial intention: A social cognitive approach by Bao Quoc Lam, Hao Yen Tran, Kiet Anh Nguyen, Kiet Tuan Nguyen, Minh Pham

“…Research Design & Methods: We employed a quantitative approach, utilising a structured questionnaire to collect data from 327 university students over two months. …”
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Power imbalances in tropical medicine journals: an analysis of editorial board representation by Sushree Nibedita Panda, Manish Barik, P. Ratna, Prabhu Kalyan Das

“…This imbalance undermines research relevance and ethical integrity by prioritizing Global North agendas over the needs of populations most affected by tropical diseases. …”
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Psycholinguistic Aspects of Focalization in a Paradigm of Narrative Discours by Ernest Ivashkevych

“…The psycholinguistic paradigm of comics contributes to the fact that artistic schemes (for example, the point of view, symmetry, the contextualization by means of contextual details), and sections of linguistics (for example, grammar, literature, syntax) appear to overlap each other, create an integral frame, which strenghtens the reader’s understandinf of a certain work. …”
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Detection of AI-Generated Texts: A Bi-LSTM and Attention-Based Approach by John Blake, Abu Saleh Musa Miah, Krzysztof Kredens, Jungpil Shin

“…The proposed model is a feature-based hybrid deep learning network that leverages part-of-speech tagging and integrates Bidirectional Long Short-Term Memory (Bi-LSTM) networks with Attention modules. …”
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Multi-dimensional research impact assessment through bibliometrics, altmetrics, semantometrics, and webometrics by Ahmed Al Marouf, Tanvir C Turin

“…To address this limitation, the paper advocates for a hybrid assessment model that integrates quantitative metrics with qualitative methods, such as case studies and narrative analyses, to provide both scalability and contextual depth. …”
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The Impact of Short-Form Content Tiktok on English Language Learning Development Among Generation Z: A Case Study of Students at Institut Elkatarie by Bahya Alfitri

“…This research contributes to the growing body of knowledge on digital platforms in education, offering insights into how social media can be effectively integrated into language learning practices. …”
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