EKSISTENSI ILMU FARAIDH UNTUK MENINGKATKAN PEMECAHAN MASALAH BERDASARKAN KEMAMPUAN MATEMATIS MAHASANTRI MA’HAD ALY by Annisaul Qoyyimah, Mohammad Tohir, Muhasshanah Muhasshanah

“…The results of the ANOVA test indicate an F-value of 78.562, with a significance level of p = 0.000. Qualitative data support this finding by showing that contextual and applicable Faraidh science learning improves students' motivation and numeracy skills. …”
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Re-use of Building Products in the Netherlands by Loriane Icibaci

“…Building products remain in use for long time spans, which affects the planning and integration of strategies to recover them for reuse. …”
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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

“…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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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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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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ANALYSIS OF THE NEED FOR DEVELOPMENT OF ISLAMIC E-MODULE IN MATRIX MATERIAL IN CLASS XI MA by Restu Prabowo, Maimunah Maimunah, Yenita Roza

“…The subjects of this study were mathematics teachers at MAN 3 Pekanbaru and class XI students at MAN 3 Pekanbaru. Analysis of research data using the Miles-Huberman Interactive Analysis which includes data reduction, data presentation, and making conclusions. …”
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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

“…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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MARSHA: multi-agent RAG system for hazard adaptation by Yangxinyu Xie, Bowen Jiang, Tanwi Mallick, Joshua Bergerson, John K. Hutchison, Duane R. Verner, Jordan Branham, M. Ross Alexander, Robert B. Ross, Yan Feng, Leslie-Anne Levy, Weijie J. Su, Camillo J. Taylor

“…The architecture employs a user-centered, multi-agent design to deliver tailored risk insights across diverse stakeholder groups. By integrating natural hazard and extreme weather projection data, observational datasets, and scientific literature through an RAG framework, the system ensures both the accuracy and contextual relevance of the information it provides. …”
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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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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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Sentiment Analysis on the PT Pertamina Corruption Case using IndoBERT and RCNN Methods by Wildan Jaya Kusoema, Ichsan Ibrahim

“…The dataset consists of 10,078 YouTube comments collected via the YouTube Data API, which were then preprocessed, automatically labeled using an Indonesian-language RoBERTa model, and balanced through class distribution techniques including undersampling and contextual embedding-based augmentation with IndoBERT. …”
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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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Speech emotion recognition using fine-tuned Wav2vec2.0 and neural controlled differential equations classifier. by Ni Wang, Danyu Yang

“…Due to the characteristics of speech emotion recognition dataset, which often have small data volumes and high complexity, effectively integrating and modeling audio data remains a significant challenge in this field. …”
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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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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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