Spatio-temporal differentiation of landslide after the Ms6.5 Ludian earthquake in Yunnan Province by Rufen ZI, Jiajia LIU, Yuhong WANG, Ping DUAN, Jia LI

“…Taking the 314 km2 area affected by the earthquake as the study area, post-earthquake landslides were first extracted and a multi-temporal data list was compiled using the ENVI deep learning method. …”
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An Investigation on the Opinions of Class and Guidance Teachers About the Challenges in Mainstream Education by Tevhide Kargın, Atlas Bogenç, Elvan Baran Karalar

“…By applying content analysis to the data obtained from the interviews, the main themes and sub-themes were formed and the findings were reached.Findings: Research findings show that classroom teachers prepare the individualized education program (IEP) with the help of the guidance teacher. …”
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Student Use of Digital Patient Cases May Improve Performance in a Pharmacy Cardiovascular Therapeutics Course by Paul J. Wong, Noam Morningstar-Kywi, Rory E. Kim, Tien M. H. Ng

“…Performance on the exams and course overall was compared between student cohorts based on eCase use. Aggregated data were analyzed by year. Additional analysis was performed for scores on exam items related to eCase content. …”
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Academic formation and permanent education: influences on leadership styles of nurses Formação acadêmica e educação permanente: influências nos estilos de liderança de enfermeiros... by Karen Cristina Kades Andrigue, Leticia de Lima Trindade, Simone Coelho Amestoy

“…Six nurses from the hospital network of Chapecó, Santa Catarina, participated in this study and typified different leadership styles. The data were collected through semi-structured interviews and analyzed according to Thematic Analysis. …”
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GlassBoost: A Lightweight and Explainable Classification Framework for Tabular Datasets by Ehsan Namjoo, Alison N. O’Connor, Jim Buckley, Conor Ryan

“…This paper introduces a novel XAI system designed for classification tasks on tabular data, which offers a balance between performance and interpretability. …”
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Consumer Perceptions and Attitudes Towards Ultra-Processed Foods by Galina Ilieva, Tania Yankova, Margarita Ruseva, Yulia Dzhabarova, Stanislava Klisarova-Belcheva, Angel Dimitrov

“…Participants were then categorised using both traditional and advanced data analysis methods. Structural equation modelling (SEM), machine learning (ML), and multi-criteria decision-making (MCDM) techniques were applied to identify hidden dependencies between variables from the perspective of UPF consumers. …”
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Optimizing Outdoor Micro-Space Design for Prolonged Activity Duration: A Study Integrating Rough Set Theory and the PSO-SVR Algorithm by Jingwen Tian, Zimo Chen, Lingling Yuan, Hongtao Zhou

“…The innovative contribution of this study lies in the proposed data-driven optimization method that integrates machine learning and KE. …”
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Postprocessing of convection permitting precipitation forecast using UNets by Marcos Esquivel-González, Albano González, Juan Carlos Pérez, Juan Pedro Díaz

“…These models were compared to traditional benchmarks like the Censored Shifted Gamma Distribution (CSGD) with Ensemble Model Output Statistics (EMOS), the Analog Ensemble method and deep learning strategies through MLP architectures. In the analysis of the results, not only the reliability of the predictions for the set of available meteorological stations was considered, but also the generalization capacity of the UNet models to obtain precipitation predictions for the whole region.UNet models generally improved the raw WRF ensemble and performed comparably or better than traditional approaches. …”
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Drowning prevention strategies for migrant adults in Australia: a qualitative multiple case study by Stacey Willcox-Pidgeon, R. C. Franklin, S. Devine

“…Data was thematically analysed using a deductive approach. …”
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Hyperdimensional Intelligent Sensing for Efficient Real-Time Audio Processing on Extreme Edge by Sanggeon Yun, Ryozo Masukawa, Hanning Chen, Sungheon Jeong, Wenjun Huang, Arghavan Rezvani, Minhyoung Na, Yoshiki Yamaguchi, Mohsen Imani

“…The escalating challenges of managing vast sensor-generated data, particularly in audio applications, necessitate innovative solutions. …”
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What are the expectations and experiences of a GMH research programme delivered in Bosnia-Herzegovina, Colombia and Uganda? A prospective longitudinal qualitative study by Stefan Priebe, Vian Rajabzadeh, Victoria Jane Bird, Francois van Loggerenberg, Michael McGrath

“…The interviewees included senior investigators, coordinators and researchers. Framework analysis was used to analyse the data.Outcome measures Participants were interviewed about their initial expectations at the inception of the research programme and their final experiences at the end.Results Many of the original expectations were later reported as met or even exceeded. …”
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The physiological neocerebellar extinction syndrome likely exists for human handedness but not footedness – a study on healthy young adults by Martin Musálek, Chipo Malambo, Petr Kubový

“…This study explored the relationship between physiological neocerebellar extinction syndrome and hand/ft dominance in left and right-side dominant individuals. Data were collected from 80 university participants (40 left-side dominant, 40 right-side dominant, mean age = 24.7 ± 0.92 years) during controlled limb falls using 3D kinematic analysis. …”
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Enhance health evidence quality in classification tasks: A triangulation approach utilizing case-based reasoning and process features by Ruihua Guo, Ross Smith, Qifan Chen, Angus Ritchie, Simon Poon

“…Objective Machine learning (ML) has enabled healthcare discoveries by facilitating efficient modeling, such as for cancer screening. …”
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Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction by Varun Shinde, Vineet Dhanawat, Ahmad Almogren, Anjanava Biswas, Muhammad Bilal, Rizwan Ali Naqvi, Ateeq Ur Rehman

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Investigating the landslide susceptibility assessment methods for multi-scale slope units based on SDGSAT-1 and Graph Neural Networks by Xiangqi Lei, Hanhu Liu, Zhe Chen, Shaoda Li, Hang Chen, Shuai Zeng, Xiao Wang, Wenqian Bai, Wei Li, Lorenzo Picco

“…The results showed that: (1) SDGSAT-1 offers significant benefits to landslide research. Our analysis compared LANDSAT with similar resolutions from multiple perspectives and found that SDGSAT-1 has substantial advantages. (2) The landslide susceptibility assessment method proposed in this work, based on optimal-scale slope units and GNN, demonstrated superior performance, with various evaluation metrics, such as AUC, Accuracy, and Precision far exceeding those of other machine learning models.…”
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STATISTICAL PROCESSING OF RESULTS OF TESTING OF STUDENTS by Yulia V. Gumennikova, Elena N. Ryabinova, Ruzilya N. Chernitsina

“…Provides statistical analysis of the results of testing of students involved in the experiment conducted by the Department of Higher Mathematics at the Samara State University of Railways, since the resulting test data (rates of assimilation of educational information), which are taken as random variables are a set of numbers, which is difficult to detect any pattern of change (variation). …”
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Facilitators and barriers to online group work in higher education within health sciences – a scoping review by Live Edvardsen Tonheim, Marianne Molin, Asgeir Brevik, Malene Wøhlk Gundersen, Lisa Garnweidner-Holme

“…At least two researchers independently screened records and full-text articles and charted data including article characteristics and key information related to the research question. …”
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Outage reduction in 5G uplink cooperative NOMA using PSO-optimized relay selection and successive interference cancelation by David S. Bhatti, M. Asif Haroon, Haeung Choi, Seungmin Kim, Heung-No Lee

“…Additionally, we integrate particle swarm optimization (PSO) for dynamic relay selection, effectively reducing outages, optimizing energy consumption, and significantly improving data rates. The inclusion of PSO-based relay selection demonstrates a substantial improvement in network performance. …”
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Integrating testing and modeling methods to examine the feasibility of blended waste materials for the compressive strength of rubberized mortar by Amin Muhammad Nasir, Nassar Roz-Ud-Din, Khan Kaffayatullah, Ul Arifeen Siyab, Khan Mubasher, Qadir Muhammad Tahir

“…The machine learning models demonstrated a significant resemblance to test results. …”
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Job Demands and Resources Perceived by Dentists in a Digital Dental Workplace and Perceived Effects on Job Satisfaction and Stress: A Qualitative Study by Julia Sofie Gebhardt, Volker Harth, David A. Groneberg, Stefanie Mache

“…A total of 30 interviews were conducted with dentists from various German dental practices, with a focus on key topics such as job demands, job resources, digital stress factors, job satisfaction, and support needs in the context of digital dentistry. The interview data were analysed using qualitative content analysis. …”
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