Identifying the Dimensions and Components of a Gamification Model in the Marketing Processes for Sharing Economy Transportation Businesses by Somaye Moradi, Maysam Shafiee

“…Furthermore, game elements such as points, rankings, leaderboards, etc., should be utilized effectively and contextually (Herzig &amp; et al, 2012).</p> <ol style="text-align: left;" start="3"> <li><strong>Methodology</strong></li> </ol> <p style="text-align: left;">In this approach, the data was obtained through document study and semi-structured interviews with 30 experts in the country, including researchers, specialists, and managers, using purposive sampling and a snowball approach. …”
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SinGAN-Labeler: An Enhanced SinGAN for Generating Marine Oil Spill SAR Images with Labels by Bin Wang, Lei Chen, Dongmei Song, Weimin Chen, Jintao Yu

“…The model integrates an adaptive module to automate scale parameter optimization, accelerating training, and a hybrid attention module combining spatial, channel, and global contextual mechanisms to enhance feature extraction. …”
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Context aware hierarchical attention for abstractive dialogue summarization by Niya Yang, Ye Wang, Yichen Qi

“…Our model incorporates both segment-level and utterance-level contextual information into the transformer framework, enhancing the model’s ability to capture the intricate dependencies in dialogue data. …”
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Enhancing Water Resources Management with Open-Source Remote Sensing: Flood Mapping and Climate Change Insights on Kupa River case area by O. Bjelotomić Oršulić, S. Šamanović, M. Kovilić, D. Markovinović

“…This study focuses on the Kupa River basin in Croatia, a flood-prone region, and presents an integrated approach for flood mapping and climate impact assessment using open-source Earth observation (EO) data and free tools. …”
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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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Seismic Event Identification: Context to Confidence by Richard Alfaro-Diaz, Jonas A. Kintner, Josh D. Carmichael

“…We present a probabilistic framework to automate event-type labeling of seismic event catalogs via contextual data fusion. Our framework fuses information derived from seismic waveform features with geospatial context such as the location of known earthquakes, nuclear test sites, and mining operations to infer event-type labels and associated uncertainty. …”
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Understanding comfort and health of outpatient workers in hospitals, a mixed-methods study by AnneMarie Eijkelenboom

“…Personal, work, and building-related aspects were included in data collection, because a preliminary literature review identified mutual relations with comfort and health. …”
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From Capturing a Moment to New Insights: A Methodological Reflection on Reflexive Photo-Elicitation Interviews to Understand Visitor Experiences in Cultural Institutions by Tesfaye Fentaw Nigatu, Alexander Trupp, Pek Yen Teh, Elangkovan Narayanan Alagas

“…However, challenges include contextual challenge in participant recruitment, difficulty capturing abstract experiences, data consistency issues, limited accessibility, and less applicability to virtual contexts. …”
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Concurrent training and reflection model (CTRM) for in-service teachers by Noora Al-Thani, Zubair Ahmed, Jolly Bhadra

“…The researchers used quantitative data to assess changes in teachers’ research knowledge and ability, while qualitative data included teacher reflections, facilitator feedback, and student outputs provided contextual insights. …”
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Nursing-centered development of an AI-based decision support system in pressure ulcer and incontinence-associated dermatitis management - a mixed methods study by Khalid Majjouti, Vanessa Priester, Michaela Tapp-Herrenbrueck, Alexander Brehmer, Hannah Pinnekamp, Michael Aleithe, Uli Fischer, Jens Kleesiek, Bernadette Hosters

“…The validated MDS encompasses 18 wound-related and four aetiological categories, including visual and contextual patient data. The AI system consequently integrates wound images with categorical patient information. …”
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Weighted explainable federated learning for privacy-preserving and scalable energy optimization in autonomous vehicular networks by Muhammad Saleem, Ali Arishi, Muhammad Sajid Farooq, M.A. Khan, Khan M. Adnan

“…Traditional centralized machine learning models and cloud-based Energy Management Systems (EMSs) often struggle with real-time adaptability, high-dimensional data processing, and privacy concerns. While Federated Learning (FL) offers a decentralized solution by enabling edge devices to collaboratively train models without sharing raw data, conventional FL typically treats all client contributions equally—regardless of their data volume, quality, or contextual relevance. …”
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EMVAS: end-to-end multimodal emotion visualization analysis system by Xianxun Zhu, Heyang Feng, Erik Cambria, Yao Huang, Ming Ju, Haochen Yuan, Rui Wang

“…The preprocessing architecture utilizes silence-based audio segmentation alongside end-to-end DeepSpeech2 audio-to-text conversion to generate a synchronized and semantically consistent data stream. For feature extraction, facial landmark detection and action unit analysis capture fine-grained visual cues; Mel-frequency cepstral coefficients, log-scaled fundamental frequency, and Constant-Q transform extract detailed audio features; and a Transformer-based encoder processes textual data for contextual emotion analysis. …”
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GNN-RMNet: Leveraging graph neural networks and GPS analytics for driver behavior and route optimization in logistics. by Eman Ali Aldhahri, Abdulwahab Ali Almazroi, Monagi Hassan Alkinani, Mohammed Alqarni, Elham Abdullah Alghamdi, Nasir Ayub

“…Computational feasibility, anomaly scoring interpretability, and future deployment concerns, including cybersecurity, data privacy, and multimodal sensor integration, are all covered. …”
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Assessing disparities in access, use, and potential benefits of weather and climate information services among farmers in Guatemala’s Dry Corridor by Maya Moore, Geneva List, Max Mauerman, Dante Salazar Ballesteros, Walter Baethgen

“…Raising awareness of LTACs and ACBs through locally trusted channels such as radio broadcasts and effective outreach by climate intermediaries, can enhance accessibility. Integrating scientific data with farmers’ traditional knowledge and priorities, while ensuring their meaningful end-to-end participation in the LTAC process, is key to creating actionable, context-relevant recommendations. …”
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Coupled coordination relationship and enhancement path between digital economy and essential public health services in China by Kunyu Chen, Kunyu Chen, Qunshan Tao, Qunshan Tao, Yang Wang, Yang Wang, Zili Ding, Zili Ding, Rui Fu, Rui Fu

“…Provinces such as Anhui and Hubei in central China have achieved leapfrog development by leveraging technological spillovers. (4) Driving Mechanisms: The fsQCA results identify three distinct high-coordination configurations: the “digital infrastructure-driven” model in eastern China, the “government–human capital dual-driven” model in central China, and the “government–institutional environment synergy-driven” model in western China.DiscussionThese findings underscore the necessity for region-specific development strategies that align with local resource endowments and contextual factors. By adopting differentiated policy pathways, provinces can effectively promote the coupling and coordinated development of essential public health services and the digital economy, ultimately fostering a high-quality and sustainable integration of the two systems.…”
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Children as Agents of Sustainability: A Pathway to Teaching Environmental Literacy Based on Preschool Teachers’ Perspectives at Sumatra by Salma Rozana, Fatimah Purba, Sanggul Maharani Yessa, Rahayu Fuji Astuti, Ahsani Maulidina

“… This explanatory sequential mixed-methods study investigates the perspectives of 89 early childhood teachers in Sumatra, Indonesia, regarding environmental literacy. Quantitative data were collected via an online questionnaire distributed through Google Forms, followed by qualitative data gathered through in-depth interviews conducted via Zoom. …”
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Uncovering mathematical activities and concepts in Batik Pendekar of Madiun City through the lens of ethnomathematics by Ika Krisdiana, Titin Masfingatin, Wasilatul Murtaifiah, Febriana Nor Fadhilla, Gerald DG. Mabuti

“…Additionally, anthropological aspects, such as local wisdom, social values, and symbolic meanings, are integral to these activities. The study concludes that Batik Pendekar serves as a rich ethnomathematical resource, offering opportunities to bridge mathematics learning with local culture and enhance contextual understanding in mathematics education. …”
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Empowering minority voices: how inclusive teaching and support foster multicultural learning by Awal Mohammed Alhassan, Margrethe Hall Christensen, Ksenia Solheim, Beate Mellemsether

“…This study investigates how instructional and emotional support from teachers influence minority students’ perceptions of inclusivity and their academic and emotional engagement.MethodsA mixed-methods approach was employed, involving survey responses from 305 minority students and participant observations across multiple educational settings. Quantitative data were analyzed to identify correlations, while qualitative observations provided contextual depth.ResultsApproximately 7% of students reported receiving little to no instructional or emotional support from teachers. …”
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Empowering designers to create life cycle informed products: heuristics for extracting insights from LCA reports by Nicole Goridkov, Ye Wang, Kosa Goucher-Lambert

“…As AI-driven tools become increasingly integrated into design workflows, there is an opportunity to improve access to sustainability data. …”
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Hybrid AI for Predictive Cyber Risk Assessment: Federated Graph-Transformer Architecture With Explainability by Jaime Govea, Rommel Gutierrez, William Villegas-Ch, Alexandra Maldonado Navarro

“…This paper proposes a hybrid model for predictive cyber risk assessment that integrates Graph Neural Networks (GNNs) for relational pattern modeling, a Transformer-based language model (CyberBERT) for semantic representation of logs and traffic data, and a Federated Learning framework to preserve data privacy during training. …”
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