Predicting pile bearing capacity using gene expression programming with SHapley Additive exPlanation interpretation by Adil Khan, Majid Khan, Waseem Akhtar Khan, Muhammad Ali Afridi, Khawaja Atif Naseem, Ayesha Noreen

“…Abstract The accurate determination of pile-bearing capacity is crucial in construction projects to ensure the stability and safety of structures built on foundation piles. …”
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Predicting HIV self-testing intentions among Chinese college students: a dual-model analysis integrating health belief constructs and machine learning prioritization by Yan Jiang, Jing Li, Jing Li, Jingfen Lu, Liping He, Lin Hu, Jiazhen He, Xianli Huang, Yuchao Li

“…Random forest modeling prioritized these psychological constructs (mean decrease Gini >2.5), identifying male students and arts majors as critical subpopulations requiring targeted intervention.DiscussionOur dual-method analysis establishes that campus HIV control necessitates: 1) Gender-specific prevention programs addressing male students’ elevated risk exposure; 2) HBM-informed education strengthening self-efficacy and environmental cues; 3) Structural interventions reducing testing barriers through discreet service delivery. …”
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Defect Detection and Correction in OpenMP: A Static Analysis and Machine Learning-Based Solution by Norah A. Al-Johany, Fathy E. Eassa, Sanaa A. Sharaf, Eynas H. Balkhair, Sara M. Assiri

“…This paper presents a novel static analysis tool designed to detect and automatically correct concurrency-related defects in OpenMP programs. The tool performs lexical and syntactic analysis to extract OpenMP constructs, verify directive usage, and identify incorrect synchronization patterns. …”
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Spatiotemporal dynamics and key drivers of carbon emissions in regional construction sectors: Insights from a Random Forest Model by Zhonghan Yu, Qudsia Kanwal, Menghan Wang, Anissa Nurdiawati, Sami G. Al-Ghamdi

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A Hypermedia-Supported program and its effect on developing historical reasoning skills among first year secondary school students by kholoud ibrahem, Samia Fayed

“…This study investigated the effect of a hypermedia-supported program on developing historical reasoning skills among first-year secondary school students in Egypt. …”
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Effectiveness of Systemic Approach-Based Program on Developing Linguistic Written Performance among Advanced-Level of Non-Native Arabic Language Learners by Mohamed alam eldeen

“…Hence, the study comprises the following tools: (1) a linguistic performance test in reading is constructed, after ensuring its validity and reliability, to measure the level of reading skill among non-native Arabic learners; (2) a test of written linguistic performance has been designed, after ensuring its validity and reliability, to measure the level of writing skill among non-native Arabic students; (3) an analytical rating list was constructed to evaluate the writing test for advanced level of non-native Arabic students; (4) a scale for the attitude towards learning Arabic language was also constructed for advanced level of non-native Arabic learners, which subsequently presented to experts for adjustments it and ensure its validity and reliability; (5) finally, a program based on the systemic approach was also built to develop the linguistic (reading - writing) performance of advanced level of non-native Arabic learners. …”
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How senior leaders support innovations in large learning health systems: Insights from United States Veterans Health Administration national program office leaders by Jaifred Christian F. Lopez, Sallie Allgood, Kate Sheahan, Brandolyn White, M. Amy Kirshner, Suzanne Shirley, Madison Coffey, Amanda Milo, Sarah L. Cutrona, Laura Damschroder, Gemmae M. Fix, Andrea L. Nevedal, Caitlin M. Reardon, Marilla A. Opra Widerquist, Maria Arasim, Allen L. Gifford, Kathryn DeLaughter, George L. Jackson

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Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

“…Traditional malware detection methods face challenges in handling complex feature representations, especially in utilizing the semantic information and call order of application programming interface call sequences. Therefore, this study develops a deep learning method to identify malicious software by analyzing the application programming interface calls and constructing heterogeneous graphs of Android applications. …”
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La construction d’un partenariat éducatif. Sociohistoire d’un dispositif de lutte contre le décrochage scolaire by Alicia Jacquot

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VET leaders’ collaborative problem-solving skills: insights from a professionals’ master’s degree program by Anna Trikoili, Despoina Georgiou, Daniel Pittich

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Enhancing Natural Resource Programs with Field Trips by Julie Athman, Martha C. Monroe

“…Published by the UF School of Forest Resources and Conservation, July 2002. Reviewed October 2008.  FOR105/FR135: Enhancing Natural Resource Programs with Field Trips (ufl.edu) …”
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Enhancing Natural Resource Programs with Field Trips by Julie Athman, Martha C. Monroe

“…Published by the UF School of Forest Resources and Conservation, July 2002. Reviewed October 2008.  FOR105/FR135: Enhancing Natural Resource Programs with Field Trips (ufl.edu) …”
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Enhancing Natural Resource Programs with Field Trips by Julie Athman, Martha C. Monroe

“…Published by the UF School of Forest Resources and Conservation, July 2002. Reviewed October 2008.  FOR105/FR135: Enhancing Natural Resource Programs with Field Trips (ufl.edu) …”
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The Outliers: Stories of Success in Implementing Sustainable Development Goal 14 by Sarah Lothian, Bianca Haas

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The Effect of Assertiveness Training Program on Nurses by Amol Kanade

“…Some nurses may have learned to express their needs honestly, to use anger constructively, to improve personal and work relationships and to build self-confidence through assertive behaviour. …”
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The Introduction of Open and Free Academic Courses in Conservation of Cultural Heritage in Greece by Anna Karatzani, Alexandros Tagoulis, Vasilike Argyropoulos, Athina Alexopoulou, Stamatis Boyatzis, Maria Chatzidaki

“…Thus, the academic staff of the Department has the challenge to prepare its students to be qualified in practice and knowledge of many specializations of conservation of Cultural Heritage (CH) within its 4 year program. …”
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A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer: a two-center study by Xiaomeng Han, Jing Guan, Li Guo, Qiyan Jiao, Kexin Wang, Feng Hou, Shunli Liu, Shifeng Yang, Chencui Huang, Wenbin Cong, Hexiang Wang

“…Abstract Background To construct and assess a deep learning (DL) signature that employs computed tomography imaging to predict the expression status of programmed cell death ligand 1 in patients with bladder cancer (BCa). …”
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Citizen Science for Nature Conservation in Hungary A Three-Dimensional Approach by Johanna Maribel Soria Aguirre, Olivér Váczi, Marianna Biró, Erika Juhász, Zoltán Soltész, Barbara Barta, Zsuzsanna Márton, Tibor Szép, Bálint Halpern, István Szentirmai, Balázs Károlyi, Alexandra Czeglédi, Györgyi Bela, Eszter Tormáné Kovács

“…Nature conservation–related citizen science (NCCS) has grown rapidly worldwide in previous years. …”
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PIPNet: A Deep Convolutional Neural Network for Multibaseline InSAR Phase Unwrapping Based on Pure Integer Programming by Hui Liu, Ke Zheng, Changwei Miao, Xuemei Liu, Xianlin Liu, Lin Li, Yongguang Zhang, Longhai Xiong

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Comprehensive Analysis of Programmed Cell Death-Related Genes in Diagnosis and Synovitis During Osteoarthritis Development: Based on Bulk and Single-Cell RNA Sequencing Data by Zhou J, Jiao S, Huang J, Dai T, Xu Y, Xia D, Feng Z, Chen J, Li Z, Hu L, Meng Q

“…The five screened Hub PCD-DEGs (TNFAIP3, JUN, PPP1R15A, INHBB and DDIT4) could be explored as candidate biomarkers or therapeutic targets for OA.Keywords: osteoarthritis, programmed cell death, bioinformatics, machine learning, immune infiltration, biomarkers…”
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