Batik Ratu Banten in an Ethnomathematics Lens: Historical Value and Mathematical Value by Vidya Ayuningtyas, Yuke Andriani, Sulistiawati, Destri Astrianingsih, Anggi Rahmani

“…However, learning in schools in Banten has not fully integrated cultural elements into mathematics learning. …”
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An Event Log Repair Method Based on Masked Transformer Model by Ping Wu, Xianwen Fang, Huan Fang, Ziyou Gong, Daoyu Kan

“…However, the presence of outliers and missing values often compromises the integrity of event logs, consequently exerting adverse effects on process analysis and associated decision-making. …”
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An IoT-Based Smart System with an MQTT Broker for Individual Patient Vital Sign Monitoring in Potential Emergency or Prehospital Applications by Yung-Chung Tsao, Fu-Jen Cheng, Yi-Hua Li, Lun-De Liao

“…Emergency care is a critical area of medicine whose outcomes are influenced by the time, availability, and accuracy of contextual information. The success of critical or emergency care is determined by the quality and accuracy of the information received during the emergency call and the data collected during emergency transportation. …”
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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

“…Specifically, we hierarchically integrate these levels during the calculation of query and key transformations, which improves the modeling of contextual relationships across token representations. …”
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Seismic Event Identification: Context to Confidence by Richard Alfaro-Diaz, Jonas A. Kintner, Josh D. Carmichael

“…This framework mirrors expert analyst reasoning by simultaneously considering both the seismic waveform characteristics and the geospatial context of each event to formally combine multiple lines of evidence. We integrate these disparate observations via Bayesian hierarchical modeling to structure data and exchange of information across data categories. …”
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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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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

“…To address this, we propose a Weighted Explainable Federated Learning (WEFL) framework that enhances conventional FL by assigning dynamic importance to client updates based on factors such as data relevance and local model performance. The framework also integrates Explainable AI (XAI) methods to improve interpretability, transparency, and regulatory compliance. …”
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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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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 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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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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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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Mapping Peatlands Combing Deep Learning With Sparse Spectral Unmixing Based on Zhuhai-1 Hyperspectral Images by Yulin Xu, Xiaodong Na

“…A multihead attention mechanism based on the transformer encoder captures global contextual information by correlating patches in the image, facilitating precise hyperspectral data reconstruction. …”
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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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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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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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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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