A rapid, low-cost deep learning system to classify strawberry disease based on cloud service by Guo-feng YANG, Yong YANG, Zi-kang HE, Xin-yu ZHANG, Yong HE

“…Although recent mobile vision technology based deep learning has achieved some success in overcoming the above problems, a key problem is how to construct a non-destructive, fast and convenient method to improve the efficiency of strawberry disease identification for the multi-region, multi-space and multi-time classification requirements. …”
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Community, Public Archaeology, and Co-construction of Knowledge Through the Educational Project of a Rural Mountain School by Fernández Mier Margarita, López Gómez Pablo, Sánchez-Broch Paloma, Carballido González Elías

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Development of Artificial Intelligence-Based Programs for the Diagnosis of Myocarditis in COVID-19 Using Chest Computed Tomography Data» by Ievgen A. Nastenko, Maksym O. Honcharuk, Vitalii O. Babenko, Mykola I. Lynnyk, Viktoria I. Ignatieva, Vitalii A. Yachnyk

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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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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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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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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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REVIEW OF THE EUROPEAN SYSTEMS RESEARCH PROGRAMS OF URBAN TERRITORIES by L. N. Kovalskyi, V. N. Smilka

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Perceptions of Artificial Intelligence (AI) in the Construction Industry Among Undergraduate Construction Management Students: Case Study—A Study of Future Leaders by Jonghoon Kim, Soomin Park, Sarah Moukhliss, Kwonsik Song, Dan Koo

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Identification of mitochondrial function and programmed cell death associated key biomarkers and the circRNA-miRNA-mRNA regulatory network in systemic lupus erythematosus by Junjie Cao, Aifang Li, Hui Zhou, Yujie Yan, Gaiying Luo

“…Differential circRNAs were screened in SLE circRNA datasets, and the relationship between circRNAs and miRNAs is predicted through circbank, finally constructing a circRNA-miRNA-mRNA ceRNA regulatory network.ResultsFrom the 448 differential genes in the SLE training set, two key genes, IFI27 and LAMP3, were identified through machine learning and WGCNA. …”
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APPLICATION OF BIM IN MEDICAL BUILDING CONSTRUCTION PROJECTS: BARRIER FACTORS AND SOLUTION STRATEGIES: A CASE STUDY OF CHENGDU MEDICAL BUILDING CONSTRUCTION PROJECT by Jiahao Chen, Laemthong Laokhongthavorn

“…Given these findings, this study learns about the stage for future lookup and sensible interventions aimed at advertising wider acceptance and the tremendous use of BIM in the Medical Building Industry (MBI) and Construction Industry (CI). …”
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