AI-assisted detection for chest X-rays (AID-CXR): a multi-reader multi-case study protocol by Fergus Gleeson, Alex Novak, Indrajeet Das, Ruchir Shah, Edwin van Beek, Sarim Ather, Howell Fu, Nabeeha Salik, Alan Campbell, Farhaan Khan, Abdala Trinidad Espinosa Morgado, Marusa Kotnik, Louise Wing, John Murchison, Jong Seok Ahn, Sang Hyup Lee, Ambika Seth

“…Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormalities on CXRs, which may expand diagnostic support to a wider field of health professionals. …”
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The model of intermediate assessment of future teachers’ professional competencies by I. V. Golovina, Kh.-Akh. S. Khaladov, T. Yu. Medvedeva, G. A. Paputkova, A. V. Milekhin

“…The ideas of forming a unified educational space in the Russian Federation actualise the development of unified content and assessment components of teacher education programmes; therefore, there is the need to introduce innovative approaches to the process of assessing the learning outcomes of undergraduate pedagogical students. …”
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The Impact of Health Promotion Using Leaflet Media on Mothers’ Knowledge of the Early Stimulation of Toddlers’ Development and Growth by Shalahuddin I, Salsabila S, Rukmasari EA, Rosidin U, Eriyani T, Pebrianti S, Maulana I

“…Following healthcare learning, the post-test results revealed that 26 participants had a good level of understanding. …”
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SETTING PERILAKU ADAPTASI PADA SEKOLAH PASCA PANDEMI DI KOTA PONTIANAK by Muhammad Nurhamsyah Nurhamsyah, Lestari, Syaiful Muazir, Rudiyono, M. Ridha Alhamdani

“…One of the activities that began to be carried out was learning at school. In this regard, the purpose of this research is to see what changes have occurred (design and regulations) and the process of human adaptation to these changes. …”
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Estimating forest aboveground carbon sink based on landsat time series and its response to climate change by Kun Yang, Kai Luo, Jialong Zhang, Bo Qiu, Feiping Wang, Qinglin Xiao, Jun Cao, Yunrun He, Jian Yang

“…Fewer studies have used machine learning-based dynamic models to estimate forest carbon sink. …”
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Enhancing the understanding of safety and the quality of patient care among medical and health sciences students in interprofessional climate: an interventional study by Salman Yousuf Guraya, Nabil Sulaiman, Ahmed Hasswan, Vida Abdolhamid Salmanpour, Feras Jassim Jirjees, Mohamed Hassan Taha, Jennat Alamara, Sausan A.L. Kawas, Manal Awad, Jacqueline Maria Dias, Leena R. David, Mohamed Aly Haider, Shaista Salman Guraya, Nihar Ranjan Dash, Amal Al-Qallaf, Sarra Shorbagi, Ibrahim Eltayeb Mahmoud

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Multiple patterns of EEG parameters and their role in the prediction of patients with prolonged disorders of consciousness by Hui Li, Hui Li, Hui Li, Linghui Dong, Linghui Dong, Linghui Dong, Wenlong Su, Wenlong Su, Ying Liu, Ying Liu, Zhiqing Tang, Zhiqing Tang, Xingxing Liao, Xingxing Liao, Junzi Long, Junzi Long, Xiaonian Zhang, Xinting Sun, Hao Zhang, Hao Zhang, Hao Zhang, Hao Zhang

“…A combination of machine learning and SHapley Additive exPlanations (SHAP) were used to develop predictive model and interpret the results.ResultsThe results indicated significant abnormalities in low-frequency spectral power, microstate parameters, and amplitudes of MMN and P3a in MCS and UWS. …”
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A CNN-LSTM Phase Compensation Method for Unidirectional Two-way Radio Frequency Transmission System by Jiahui Cheng, Zhengkang Wang, Yaojun Qiao, Hao Gao, Chenxia Liu, Zhuoze Zhao, Jie Zhang, Baodong Zhao, Bin Luo, Song Yu

“…This is the first-time machine learning (ML) has been used to mitigate the effects of optical path asymmetry caused by temperature variations on radio frequency (RF) transmission systems. …”
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Advancing Pediatric Surgery: The Use of HoloLens 2 for 3D Anatomical Reconstructions in Preoperative Planning by Marco Di Mitri, Annalisa Di Carmine, Simone D’Antonio, Benedetta Maria Capobianco, Cristian Bisanti, Edoardo Collautti, Sara Maria Cravano, Francesca Ruspi, Michele Libri, Tommaso Gargano, Mario Lima

“…Conclusions: Despite some challenges in ease of use, HoloLens 2 showed promising results in reducing the learning curve for complex procedures. This study underscores the transformative potential of mixed reality technology in pediatric surgery, advocating for further research and development to integrate these advancements into routine clinical practice.…”
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Mortality Prediction Using SaO2/FiO2 Ratio Based on eICU Database Analysis by Sharad Patel, Gurkeerat Singh, Samson Zarbiv, Kia Ghiassi, Jean-Sebastien Rachoin

“…We hypothesize that S/F is noninferior to P/F as a predictive feature for ICU mortality. Using a machine-learning approach, we hope to demonstrate the relative mortality predictive capacities of S/F and P/F. …”
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Predictive factors' modeling of entrepreneurial opportunities in international companies by Ali Farahani, Younos Vakil Alroaia, Farideh Haghshenaskashani, Ali Faez

“…Capital, corporate factors, social learning, gathering and studying information, individual characteristics, and social factors were determined as the background factors of entrepreneurial opportunities. …”
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Designing an educational model based on identity development with an Iranian-Islamic approach for primary school students. by Ali Oladhamzehzadeh, masoumeh oladiyan, Mahmoud Safari

“…The dimensions of the educational model based on the identity development of students with the Iranian-Islamic approach include educational goals and content, teaching and learning methods, instructors and teachers, cultural factors, social factors, psychological factors, media, educational factors, and family factors. …”
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Designing a structural model to improve the productivity of higher education managers by Kiana Kaveh, Amineh ahmadi, mojtaba moazzami

“…The findings of the research showed that the components of teaching effectiveness evaluation, including reaction, learning and results, are able to predict the effectiveness of teaching Arabic lessons in higher education based on the Kirkpatrick model. …”
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Assessing the Effectiveness of Interactive Robot-Assisted Virtual Health Coaching for Health Literacy and Disease Knowledge of Patients with Chronic Kidney Disease: Quasiexperiment... by Nai-Jung Chen, Ching-Hao Chang, Chiu-Mieh Huang, Fen-He Lin, Li-Ting Lu, Kuan-Yi Liu, Chih-Lin Lai, Chin-Yao Lin, Yi-Chou Hou, Jong-Long Guo

“…The intervention involved a 12-unit program, with each unit lasting approximately 20 minutes to 30 minutes and delivered across 3 to 4 learning sessions, and participants completed 3 to 4 units per session. …”
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Differentiating Pulmonary Nodule Malignancy Using Exhaled Volatile Organic Compounds: A Prospective Observational Study by Guangyu Lu, Zhixia Su, Xiaoping Yu, Yuhang He, Taining Sha, Kai Yan, Hong Guo, Yujian Tao, Liting Liao, Yanyan Zhang, Guotao Lu, Weijuan Gong

“…We applied five machine learning (ML) algorithms to develop predictive models which were evaluated using area under the curve (AUC), sensitivity, specificity, and other relevant metrics. …”
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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

“…This study identifies key genes associated with lactic acid metabolism and explore their impact on CRC.Patients and Methods: This study utilized data from The Cancer Genome Atlas, Gene Expression Omnibus, other public databases, and our institutional resources. Machine learning identified key lactate metabolism-related genes. …”
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ER-GMMD: Cross-Scene Remote Sensing Classification Method of <italic>Tamarix chinensis</italic> in the Yellow River Estuary by Liying Zhu, Yabin Hu, Guangbo Ren, Na Qiao, Ziyue Meng, Jianbu Wang, Yajie Zhao, Shibao Li, Yi Ma

“…To address these challenges, this study proposes a deep learning-based cross-domain classification model, ER-GMMD, which leverages features extracted by deep residual networks for different mixed-growth patterns of <italic>tamarix chinensis,</italic> and integrates dual feature alignment to address the cross-scene classification challenges of mixed-species <italic>tamarix chinensis</italic>. …”
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CYP3A5 promotes glioblastoma stemness and chemoresistance through fine-tuning NAD+/NADH ratio by Wentao Hu, Xiaoteng Cui, Hongyu Liu, Ze Li, Xu Chen, Qixue Wang, Guolu Zhang, Er Wen, Jinxin Lan, Junyi Chen, Jialin Liu, Chunsheng Kang, Ling Chen

“…Methods A multi-step process of machine learning algorithms was implemented to construct the glioma stemness-related score (GScore). …”
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Association between physical activity, smartphone usage, and obesity risk among Korean adolescents: A cross-sectional study based on 2021 Korean adolescent health behavior survey by Haoyuan Li, Jaeyoung Choi, Aram Kim, Guifang Liu

“…For sedentary behavior, females with ≥6 h of weekday non-learning sedentary time (SWD-N) had increased obesity risk (OR = 1.210, 95 % CI: 1.002–1.462, p < 0.01), as did males with ≥6 h of weekend sedentary time (SWK-N) (OR = 1.334, 95 % CI: 1.154–1.542, p < 0.001) and females with ≥6 h of weekend smartphone usage (SPWK_TM) (OR = 1.567, 95 % CI: 1.066–2.303, p < 0.01). …”
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Impact of pediatric tracheostomy on family caregivers’ burden and quality of life: a systematic review and meta-analysis by Win Thu Aung, Natasha Yixuan Ong, Shina Qing Chun Yeo, Nur Syahindah Binti Juhari, Gwyneth Kong, Nicole-Ann Lim, Zubair Amin, Zubair Amin, Yvonne Peng Mei Ng, Yvonne Peng Mei Ng

“…QOL should be assessed during clinical encounters to identify caregivers who require additional support which includes learning coping and stress reduction strategies.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?…”
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