Predicting and Understanding Disorders of Consciousness of Sleep Patients Through Multimodal Data Fusion and Temporal Attention Mechanisms by Haixia Pan, Haotian Geng, Pingshu Zhang, Xiaodong Yuan

“…The model’s interpretability, achieved through attention mechanisms and feature importance analysis, provides valuable insights into the temporal dynamics of physiological signals and the relative importance of clinical factors in consciousness assessment, highlighting the critical role of cardiovascular and respiratory metrics, as well as sleep architecture features. …”
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STUDI KOMPARATIF TAHAPAN PERENCANAAN PEMBANGUNAN PERDESAAN DI INDONESIA DAN MALAYSIA by AHLUNNAZA PANDU RAHARJO, NIA KURNIASARI

“…Data was collected through structured and in-depth interviews, and studies in the literature that focused on the exploration of related literature. …”
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CONDUCTIVE ZONES IN THE LITHOSPHERE OF THE FOLD BELT OF EURASIA AND THEIR RELATIONSHIP TO MODERN GEODYNAMIC PROCESSES by V. V. Belyavsky, Iv. M. Varentsov, I. N. Lozovsky

“…The results have contributed to the development of the geological and geophysical database for seismic zoning, identification of active tectonic structures, and exploration of mineral resources. In the course of integrated interpretation of the MT data, regional geoelectric models have been constructed, conductive anomalies have been related to low-velocity and high-absorption zones, deep-seated conductive faults and rheologically weak zones have been identified, and their relationship to the location of earthquake hypocenters and miscellaneous volcanic features has been studied. …”
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Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approaches by Divesh Ranjan Kumar, Warit Wipulanusat

“…Each model can offer unique strengths, with BI-LSTM and LSTM excelling at learning sequential dependencies, whereas XGBoost and RF provide powerful and often interpretable results from structured tabular data. …”
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The Benkar Fault Zone: An Orogen-Scale Cross Fault in the Eastern Nepal Himalaya by Bibek Giri, Mary Hubbard, Christopher S. McDonald, Neil Seifert, Bishal KC

“…While several genetic models have been proposed for cross faults in the Himalaya and other convergent orogens, we suggest that the BFZ may be related to extensional structures in Tibet. …”
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18 F sodium fluoride PET/CT in patients with prostate cancer: Quantification of normal tissues, benign degenerative lesions, and malignant lesions by Jorge Oldan, A Hawkins, Bennett Chin

“…Understanding the range and variability of normal, benign degenerative, and malignant 18 F sodium fluoride ( 18 F NaF) positron emission tomography/computed tomography (PET/CT) uptake is important in influencing clinical interpretation. Further, it is essential for the development of realistic semiautomated quantification techniques and simulation models. …”
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Evaluating clinician acceptability of the prototype CanRisk tool for predicting risk of breast and ovarian cancer: A multi-methods study. by Stephanie Archer, Chantal Babb de Villiers, Fiona Scheibl, Tim Carver, Simon Hartley, Andrew Lee, Alex P Cunningham, Douglas F Easton, Jennifer G McIntosh, Jon Emery, Marc Tischkowitz, Antonis C Antoniou, Fiona M Walter

“…Their views about the tool were examined via a semi-structured interview or equivalent open-ended questionnaire. …”
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THE ACCEPTANCE OF AN EDUCATIONAL INTEGRATED DEVELOPMENT ENVIRONMENT TO LEARN PROGRAMMING FUNDAMENTALS by Nor Farahwahida Mohd Noor, Aslina Saad, Abu Bakar Ibrahim, Norashady Mohd Noor

“…Based on this model, the requirement planning phase was carried out through the triangulation technique by applying qualitative approaches comprising a literature review supported by semi-structured interviews, document reviews, and content validation by expert programming lecturers. …”
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An AI-Based Decision Support Framework for Clinical Screening of Iron Deficiency Anemia and Thalassemia by Kasikrit Damkliang, Thakerng Wongsirichot, Komsai Suwanno, Chutima Cheranakhorn, Sorawat Sangkeaw, Satanun Sottisataworn

“…Model interpretability, assessed using SHAP and Grad-CAM, highlighted key red blood cell morphological features. …”
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Turning Trash Into Treasure: Extracting Meaning From Discordant Data via a Dedicated Application by Lucy M. Mathieson, C. L. Kirkland, M. L. Daggitt

“…Older Pb loss ages cluster along major NE–SW fault systems, suggesting that long‐lived, reactivated structures facilitated fluid migration and subsequent Pb mobilization in zircon. …”
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Student and Instructor Perspectives on the English Preparatory School’s ELT Program: A Needs Analysis Study by Gülşah Coşkun Yaşar, Pinar Mercan Küçükakın, S. Aslıhan İleri

“…The study utilized a qualitative research method, and the case study model was applied. Semi structured interviews were conducted with 8 SFL instructors and two focus group interviews were conducted with 12 students enrolled in the program. …”
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An explainable hybrid feature aggregation network with residual inception positional encoding attention and EfficientNet for cassava leaf disease classification by M. Sundara Srivathsan, S. Alden Jenish, K. Arvindhan, R. Karthik

“…Furthermore, it incorporates an image augmentation method and a cosine decay learning rate schedule to improve model training. This improves the ability of the model to accurately differentiate between Cassava Bacterial Blight (CBB), Brown Streak Disease (CBSD), Green Mottle (CGM), Mosaic Disease (CMD), and healthy leaves, addressing both local textures and global structures. …”
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KAJIAN INTEGRASI MATEMATIKA DAN ISLAM: RUMUS FUNGSI MATEMATIKA SEDEKAH DALAM AL-QURAN by Annisaul Qoyyimah, Moh. Atikurrahman, Maswar Maswar

“…This approach aims to illustrate how a single act of good deed, particularly charity, from an Islamic perspective, can yield multiplied rewards in a rational and structured manner. The findings suggest that charity holds a broad and profound meaning, occupying a significant position in Islamic teachings as a social act that promises multiple rewards. …”
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Enhancing Ground Penetrating Radar (GPR) Data Analysis Utilizing Machine Learning by Mohanad Shehab, Musab T.S. Al-Kaltakchi, Ammar Dukhan, Wai Lok Woo

“…In this paper, it is used to identify structures and types of seismic images of a real oil and gas field. …”
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Peritoneal Response to Abdominal Surgery: The Role of Equine Abdominal Adhesions and Current Prophylactic Strategies by Juliana de Moura Alonso, Ana Liz Garcia Alves, Marcos Jun Watanabe, Celso Antonio Rodrigues, Carlos Alberto Hussni

“…Currently, there are no definitive strategies that prevent adhesion formation, and it is difficult to interpret the results of existing studies due to nonstandardization of an induction model and evaluation of their severity. …”
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Evaluation of Imprint and Multi‐Level Dynamics in Ferroelectric Capacitors by Sara Vecchi, Francesco Maria Puglisi, Pascal Appelt, Roberto Guido, Xuetao Wang, Stefan Slesazeck, Thomas Mikolajick, Suzanne Lancaster

“…Based on these results, the study finally reports a unified physical interpretation of imprint in the context of a charge injection model, which explains both types of imprint and sheds light on the dynamics of multi‐level polarization switching in ferroelectrics.…”
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SPARK Resilience in the workplace: Effectiveness of a brief online resilience intervention during the COVID-19 lockdown. by Ilona Boniwell, Evgeny Osin, Larissa Kalisch, Justine Chabanne, Line Abou Zaki

“…This paper presents a mixed-methods study exploring the effectiveness of group coaching using SPARK Resilience training, a model and a structured coaching protocol that have been administered in educational and workplace settings in face-to-face format and remotely. …”
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MR-EILLS: an invariance-based Mendelian randomization method integrating multiple heterogeneous GWAS summary datasets by Lei Hou, Hao Chen, Xiao-Hua Zhou

“…Abstract Diverse genetic structures can lead to heterogeneity among GWAS summary datasets from distinct populations. …”
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An anatomically enhanced and clinically validated framework for lung abnormality classification using deep features and KL divergence by Suresh Kumar Samarla, Maragathavalli P

“…Preserving Anatomical Structures: The methodology ensures that diagnostic features are preserved and highlighted with Anatomy-Preserved Segmentation 2. …”
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Co-Creating OERs in Computer Science Education to Foster Intrinsic Motivation by Lezeth van der Walt, Chantelle Bosch

“…Data were collected through semi-structured interviews with BEd Honours students who completed an OER co-creation project as part of their final assessment. …”
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