Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review by Seng Hansun, Ahmadreza Argha, Ivan Bakhshayeshi, Arya Wicaksana, Hamid Alinejad-Rokny, Greg J Fox, Siaw-Teng Liaw, Branko G Celler, Guy B Marks

“…ObjectiveWe aimed to provide a comprehensive evaluation of AI-based algorithms for TB detection across various data modalities. MethodsFollowing PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) 2020 guidelines, we conducted a systematic review to synthesize current knowledge on this topic. …”
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PSYCHOLOGICAL FACTORS OF THE FORMATION OF LEGAL AWARENESS OF STUDENTS OF HISTORICAL AND MEDICAL EDUCATION PROFILES by Dribas Svetlana, Semenov Konstantin

“…The article includes an analysis of scientific literature on psychology, history and medicine. …”
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Diagnosis and prognosis prediction of gastric cancer by high-performance serum lipidome fingerprints by Ze-Rong Cai, Wen Wang, Di Chen, Hao-Jie Chen, Yan Hu, Xiao-Jing Luo, Yi-Ting Wang, Yi-Qian Pan, Hai-Yu Mo, Shu-Yu Luo, Kun Liao, Zhao-Lei Zeng, Shan-Shan Li, Xin-Yuan Guan, Xin-Juan Fan, Hai-long Piao, Rui-Hua Xu, Huai-Qiang Ju

“…Liquid biopsy combined with machine learning will provide new insights into diagnostic strategies of GC. …”
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Improving accuracy and generalization in single kernel oil characteristics prediction in maize using NIR-HSI and a knowledge-injected spectral tabtransformer by Anran Song, Xinyu Guo, Weiliang Wen, Chuanyu Wang, Shenghao Gu, Xiaoqian Chen, Juan Wang, Chunjiang Zhao

“…However, existing models often suffer from limited generalization, particularly when trained on small datasets, and there is a lack of effective deep learning (DL) models for spectral data analysis. To address these challenges, we propose the Knowledge-Injected Spectral TabTransformer (KIT-Spectral TabTransformer), an innovative adaptation of the traditional TabTransformer specifically designed for maize seeds. …”
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Immersive Virtual Reality and AI (Generative Pretrained Transformer) to Enhance Student Preparedness for Objective Structured Clinical Examinations: Mixed Methods Study by Shaniff Esmail, Brendan Concannon

“…Future research with larger or randomized samples is needed to confirm these findings and explore advanced VR tools offering feedback to enhance learning.…”
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Alterações na distribuição de potência cortical em função da consolidação da memória no aprendizado de datilografia Changes in cortical power distribution produced by memory consol... by Marlo Cunha, Victor Hugo Bastos, Heloisa Veiga, Maurício Cagy, Kaleb McDowell, Vernon Furtado, Roberto Piedade, Pedro Ribeiro

“…For the statistical analysis, the behavioral variables "time" and "number of errors" were assessed by a one-way ANOVA. …”
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Urban Quality: A Remote-Sensing-Perspective Review by Luana Brito Lima, Washington J. S. Franca Rocha, Deorgia T. M. Souza, Jocimara S. B. Lobão, Mariana M. M. de Santana, Elaine C. B. Cambui, Rodrigo N. Vasconcelos

“…Co-occurrence network analysis revealed six key research clusters, highlighting advancements in methodologies, spatial data integration, remote sensing, green sustainability, and multi-criteria frameworks, showcasing the field’s interdisciplinary evolution. …”
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Artificial neural network (ANN) approach in predicting the thermo-solutal transport rate from multiple heated chips within an enclosure filled with hybrid nanocoolant by Tawsif Mahmud, Jiaul Haque Saboj, Preetom Nag, Goutam Saha, Bijan K. Saha

“…This study also investigates various machine learning models for predicting the heat and mass transfer rate, and an error analysis is conducted on the K-Nearest Neighbour Regressor, Random Forest Regressor, Decision Tree Regressor, and ANN model. …”
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Exploring artificial intelligence in orthopaedics: A collaborative survey from the ISAKOS Young Professional Task Force by Filippo Familiari, Adnan Saithna, Juan Pablo Martinez‐Cano, Jorge Chahla, Juan Miguel Del Castillo, Nicholas N. DePhillipo, Gilbert Moatshe, Edoardo Monaco, Jaime Palos Lucio, Pieter D'Hooghe, Robert F. LaPrade, the ISAKOS Young Professionals Task Force

“…The survey included 26 questions. Data obtained from the completed questionnaires were transferred to a spreadsheet and then analyzed. …”
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Deep Multi-Modal Skin-Imaging-Based Information-Switching Network for Skin Lesion Recognition by Yingzhe Yu, Huiqiong Jia, Li Zhang, Suling Xu, Xiaoxia Zhu, Jiucun Wang, Fangfang Wang, Lianyi Han, Haoqiang Jiang, Qiongyan Zhou, Chao Xin

“…MDSIS-Net is tested on clinical disfiguring dermatosis data and the public Derm7pt melanoma dataset. A Visually Intelligent System for Image Analysis (VISIA) captures five modalities: spots, red marks, ultraviolet (UV) spots, porphyrins, and brown spots for disfiguring dermatosis. …”
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Bridging the gap: exploring students’ needs, knowledge, and preferences for delivering comprehensive sexuality education in Sierra Leone by Regina Mamidy Yillah, Rajeeb Kumar Sah, Anais Bash-Taqi, Augustus Osborne

“…Thematic analysis was employed to identify patterns and themes related to students' comprehensive sexuality education knowledge, preferences, and contextual challenges. …”
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Long short-term memory (LSTM) networks for precision prediction of Schottky barrier photodiode behavior at different illumination levels by Gökalp Tulum, Sajjad Nematzadeh, İlke Taşçıoğlu, Şemsettin Altındal, Fahrettin Yakuphanoğlu

“…These findings highlight the potential of data-driven deep learning approaches in semiconductor research and open avenues for broader applications of LSTM architectures in predicting electronic and optoelectronic device parameters.…”
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Post-hoc Evaluation of Sample Size in a Regional Digital Soil Mapping Project by Daniel D. Saurette, Richard J. Heck, Adam W. Gillespie, Aaron A. Berg, Asim Biswas

“…Our findings revealed that the optimal sample sizes based on the D_JS analysis were closely aligned with the effective sample sizes from the model learning curves (815 for cLHS, 832 for FSCS, and 847 for SRS). …”
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Amplification of Higher-Order Salivary Gland Volume Effects from External Beam Radiotherapy in Normal Tissue Complication Probability Modeling of Radiopharmaceutical Therapy by Chunming Gu, Robert F. Hobbs, Ana P. Kiess, Junghoon Lee, Todd McNutt, Harry Quon, Zhuoyao Xin, Tahir I. Yusufaly

“…The goal of this work is to combine machine learning of EBRT dose–outcome data with stylized small-scale RPT dosimetry to discover more reliable normal tissue complication probability (NTCP) models of xerostomia across both modalities. …”
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Effectiveness of Gamified Teaching in Disaster Nursing Education for Health Care Workers: Systematic Review by Shiyi Bai, HuiJuan Zeng, Qianmei Zhong, Lulu Cao, Mei He

“…All formats demonstrated improvements in knowledge and skills, with high levels of satisfaction reported. However, data on long-term retention were limited. …”
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Identification of EARS2 as a Potential Biomarker with Diagnostic, Prognostic, and Therapeutic Implications in Colorectal Cancer by Wang L, Deng X, Tang J, Gong Y, Bu S, Li Z, Liao B, Ding Y, Dai T, Liao Y, Li Y

“…EARS2 expression in colorectal tissue was validated using both publicly available external data and samples from our institution. To investigate the mechanisms underlying EARS2 in CRC, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, Gene Set Enrichment Analysis, and Protein-Protein Interaction analyses were performed, alongside the construction of miRNA-mRNA interaction networks. …”
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Research Progress and Prospect of Green Infrastructure with Public Health Promotion Function by Tongyu LI, Junyi LIXU, Binxia XUE, Yan (USA) SONG

“…After rigorous screening based on predefined inclusion and exclusion criteria, 77 relevant research articles are selected for detailed analysis. Data extraction focused on various dimensions, including specific GI types, action pathways, health outcomes, public health dimensions (physiological, psychological and social dimensions), spatial scales, and research subjects. …”
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Ecolodge Success Model: Antecedents and Consequences by Zohreh Dehdashti Shahrokh, Mohammadreza Karimi Alavijeh, Molood Esfahani

“…Methodology In terms of the data nature and the method of analysis, The research is qualitative and in terms of the method of data collection, it is based on documentary studies. …”
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ANALISIS IDENTIFIKASI MASALAH UTAMA KOPERASI DI KABUPATEN BANYUASIN DALAM MEWUJUDKAN KESEJAHTERAAN ANGGOTA by Nurul Mubarok, Sinta Ardhillatul Jannah, Septi Laksanawati

“…The research method used is qualitative research using Triangulation data analysis techniques. Triangulation is essentially a multi-method approach conducted by researchers when collecting and analyzing data. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…Additionally, the application of deep learning algorithms, such as convolutional neural networks and Transformers, can automate the process of GPR image analysis, reducing human bias and improving the efficiency of data interpretation.ConclusionsThe findings of this study demonstrate the significant potential of GPR technology for dynamic monitoring of rock mass fractures. …”
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