Entrepreneurial Traits and Innovation as Predictors of Business Performance: A Study of Women-Owned Microenterprises in Rural Agam Regency by Feta Maharni, Donard Games, Ratni Prima Lita

“…Grounded in trait theory and McClelland’s Theory of Needs, it integrates psychological and behavioral perspectives to explore business outcomes in gendered, resource-limited settings. …”
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Assessing the impact of supplier and customer relationships and third-party logistics on stock availability in Mahikeng grocery small and medium-sized enterprises by Boipelo Kgwadi, Alexander Samuels

“…Contribution: This study contributes to the existing literature by providing a port-specific, contextually grounded analysis of how 3PL integration can improve competitiveness in emerging markets, offering a novel framework for operational improvement in the grocery sector.…”
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GPT Applications for Construction Safety: A Use Case Analysis by Ali Katooziani, Idris Jeelani, Masoud Gheisari

“…This includes fine-tuning for more relevant safety-specific outcomes, integrating real-time data for contextual awareness, and developing a nuanced understanding of safety risks. …”
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From knowledge graph construction to retrieval-augmented generation: a framework for comprehensive earthquake emergency support by Liwei Yao, Fu Ren, Kaixuan Du, Qingyun Du

“…Future work will focus on improving attribute completeness, refining entity alignment techniques to capture complex semantic nuances, and exploring multimodal data integration to further extend the KG’s utility. …”
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TECHNOLOGY READINESS: WHAT ARE THE CATALYSTS? by Albrian Fiky Prakoso, Zain Fuadi Muhammad RoziqiFath, Ardhita Eko Ginanjar, Wida Wulandari, Putri Ulfa Kamalia, Nico Irawan

“…This study provides a framework for fostering equitable and sustainable technology integration in economics teacher education programs.…”
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Artificial intelligence in coronary angiography: benchmarking the diagnostic accuracy of ChatGPT-4o against interventional cardiologists by John Michael Hoppe, Christopher Stremmel, Antonia Kellnar, David Esser, Kathrin Diegruber

“…Future developments should focus on enhancing AI capabilities for analysing complex anatomical structures and integrating dynamic imaging data to augment clinical utility.…”
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Digital Gamification to Foster Attitudes Toward Science in Early Childhood Teacher Education by Noëlle Fabre-Mitjans, Gregorio Jiménez-Valverde, Gerard Guimerà-Ballesta, Genina Calafell-Subirà

“…Integrating technology-enhanced gamification into teacher education can significantly foster motivation and reshape perceptions toward science learning. …”
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SRP-CR: Semantic and Representational Priors for Diffusion-Based Cloud Removal by Zhentao Zou, Ze Zhang, Yue Zhou, Xue Jiang

“…For representational priors, we introduce the dynamic contextual prior fusion module, which effectively captures and merges informative contextual data from multitemporal cloudy images, thereby preserving low-level fidelity. …”
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Examining gender as an issue of policy priority: a case study of four Kenyan health policy implementation strategies by Henry Owoko Odero, Doris Kwesiga, Sally Odunga, Damazo T. Kadengye, Sylvia Kiwuwa-Muyingo

“…In the KASF II 2020, strong leadership from organizations such as the National AIDS Control Council (NACC), UNAIDS, and UNDP effectively drove gender integration. These actors successfully advocated for gender-responsive metrics and policies, supported by robust gender-disaggregated data. …”
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Predicting car accident severity in Northwest Ethiopia: a machine learning approach leveraging driver, environmental, and road conditions by Abraham Keffale Mengistu, Andualem Enyew Gedefaw, Nebebe Demis Baykemagn, Agmasie Damtew Walle, Tirualem Zeleke Yehuala, Meron Asmamaw Alemayehu, Mengistu Abebe Messelu, Bayou Tilahun Assaye

“…Using a dataset of 2,000 accidents (2018–2023) from police reports, we integrated driver demographics, behavioral factors (e.g., alcohol use, seatbelt compliance), and environmental conditions (e.g., unpaved roads, weather) in North West Ethiopia. …”
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Dynamic spatiotemporal graph network for traffic accident risk prediction by Pengcheng Zhang, Wen Yi, Yongze Song, Penggao Yan, Peng Wu, Ammar Shemery, Keith Hampson, Albert P. C. Chan

“…Our model uses channel-wise convolutional neural networks to detect spatial accident patterns across weekly, daily, and hourly time scales with automatic weight learning, simultaneously employing graph convolutional networks to process road network features, population feature while integrating external data like weather and dates. The dynamic learning of spatial correlations, combined with the integration of road characteristics and contextual variables, significantly enhances the accuracy of traffic accident predictions. …”
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Building Skills in the Digital Age through Merdeka Belajar Curriculum Development Training by Nur Lailiyah, Andri Pitoyo, Sujarwoko Sujarwoko, Marista Dwi Rahmayantis, Endang Waryanti, Sempu Dwi Sasongko, Sardjono Sardjono, Encil Puspitoningrum, Moch. Muarifin, Yolanda Rensia Gigik, Fadila Ardinaning Putri

“…The training, involving teachers from three elementary schools, focuses on comprehending the curriculum's principles and crafting lesson plans integrating digital competencies like data literacy, programming, and media skills. …”
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Understanding comfort and health of outpatient workers in hospitals, a mixed-methods study by AnneMarie Eijkelenboom

“…The study enables academical and practical exploration of preferences and perceptions of comfort and their integration in the design process. AnneMarie Eijkelenboom, architect with 25 years’ experience, is determined to improve wellbeing of occupants through expansion and integration of academical knowledge and practical experience in design of buildings. …”
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Secondary traumatic stress in emergency department nurses: A multi-methods study protocol by Mahdieh Motie, Masoud Fallahi-khoshknab, Farahnaz Mohammadi Shahbolaghi, Mohammad Saeed Khanjani, Marcus Stueck, Hamidreza Khankeh

“…Participants will be selected using purposive and theoretical sampling until data saturation is achieved. Data collection will focus on emergency nurses' experiences and emotional responses, with analysis proceeding through five stages: open coding, concept development, contextual analysis, process analysis, and category integration. …”
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Analyzing Students’ Difficulties in Learning Nahwu and Effective Pedagogical Solutions: A Psycholinguistic Approach by Segaf Baharun

“…Using a mixed-methods approach, integrating both quantitative and qualitative methods to analyze students' difficulties in learning nahwu and explore effective pedagogical solutions through a psycholinguistic perspective, data were collected from 60 students at Pondok Pesantren Darullughah Wadda’wah through diagnostic grammar tests, psycholinguistic surveys, semi-structured interviews, and classroom observations. …”
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Discursive construction of the ‘scholar' identity: a critical genre analysis of chinese and english academic biographies by Shuai Liu

“…The interviews further reveal how scholars strategically present themselves in response to contextual expectations. By integrating textual and contextual perspectives, the study deepens our understanding of how academic identities are constructed and culturally mediated, offering implications for academic communication and cross-cultural discourse research.…”
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A review of large language models and the recommendation task by Jacob Munson, Thomas Cuezze, Siddat Nesar, Dominique Zosso

“…We detail how these shifting data paradigms have shaped the field and integration of transformer architecture, large language models, and chatbots in modern recommender systems. …”
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Decomposition of Neutrosophic Zero-divisor graph by Balakrishnan A, Kanchana M, Said Broumi, Thirugnanasambandam K

“…By integrating MCDM, universities can develop a more objective, data-driven framework for evaluating translation skills while ensuring fair and consistent grading practices. …”
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A multimodal deep reinforcement learning approach for IoT-driven adaptive scheduling and robustness optimization in global logistics networks by Yao Lu

“…We propose an integrated framework comprising a multimodal data fusion mechanism that synthesizes heterogeneous IoT sensor data, historical records, and contextual information; an adaptive deep reinforcement learning architecture that generates dynamic scheduling policies; and a multi-objective robust optimization method that balances operational efficiency with system resilience. …”
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LLM-Assisted Ontology Restriction Verification With Clustering-Based Description Generation by Seungyeon Kim, Donghyun Kim, Seokju Hwang, Kyong-Ho Lee, Kyunghwa Lee

“…An ontology is a scheme for structuring relationships between concepts in a domain, promoting data interoperability and system integration. However, poorly designed ontologies can lead to errors and performance issues. …”
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