MRI radiomics model for predicting tumor immune microenvironment types and efficacy of anti-PD-1/PD-L1 therapy in hepatocellular carcinoma by Rui Zhang, Wei Peng, Yao Wang, Yunping Jiang, Junli Wang, Siying Zhang, Zhi Li, Yushu Shi, Feng Chen, Zhan Feng, Wenbo Xiao

“…We aimed to develop an MRI-based radiomics model to predict TIME types and validate its predictive capability for ICIs efficacy in HCC patients receiving anti-PD-1/PD-L1 therapy. …”
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An examination of online physical education participation and its effects on health promotion by Yu-Tai Wu, Yu-Feng Wu, Jian-Hong Ye, Weiguaju Nong, Jhen-Ni Ye

“…However, whether all subjects, such as physical education (PE), can be effectively learned online is worth exploring.MethodsTo achieve the objective of this study, junior high school students in China were invited to fill out an online questionnaire via a snowball sampling method. …”
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Low mother-to-child HIV transmission rate but high loss-to-follow-up among mothers and babies in Mandalay, Myanmar; a cohort study. by Khine Wut Yee Kyaw, Myo Minn Oo, Nang Thu Thu Kyaw, Khaing Hnin Phyo, Thet Ko Aung, Theingi Mya, Nilar Aung, Htun Nyunt Oo, Petros Isaakidis

“…In this study, we aimed to determine the mother-to-child transmission rate in a programmatic setting and to determine factors associated with LTFU among enrolled mothers and unfavorable outcomes among HIV-exposed babies which includes being HIV positive, death and LTFU.<h4>Methods</h4>A retrospective cohort study reviewing routinely collected data in an Integrated HIV care program, Mandalay, Myanmar in June 2016.LTFU means mother/infant missing appointed visit for more than three months.…”
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Investigating Students’ Perceptions of Artificial Intelligence in Medical Education: A Cross-Sectional Study by Saba Iqbal, Humaira Shamim, Muhammad Moosa, Farrukh Hayat Khan, Saba Farooq, Arifa Zafar

“…Most students (96.4%) agreed that computers aid learning, and 93.5% believed AI will be essential in future medical practice. …”
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What is the influence of psychosocial factors on artificial intelligence appropriation in college students? by Benicio Gonzalo Acosta-Enriquez, María de los Ángeles Guzmán Valle, Marco Arbulú Ballesteros, Julie Catherine Arbulú Castillo, Carmen Graciela Arbulu Perez Vargas, Isaac Saavedra Torres, Pedro Manuel Silva León, Karina Saavedra Tirado

“…Performance expectancy (β = 0.274), social influence (β = 0.355), and AI learning self-efficacy (β = 0.431) were found to have significant positive effects on AI adoption. …”
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Awareness to Action: Student Knowledge of and Responses to an Early Alert System by Megan N. Imundo, Maria Goldshtein, Micah Watanabe, Jiachen Gong, Devon Nicole Crosby, Rod D. Roscoe, Tracy Arner, Danielle S. McNamara

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Perceived levels of social stigma following HIV notification: Insights from Brazilian blood centers by Renata Buccheri, Carolina Miranda, Cesar de Almeida-Neto, Thelma Gonçalez, Liliana Preiss, Luiz Amorim, Anna Barbara Carneiro-Proiett, Paula Loureiro, Ester C. Sabino, Brian Custer

“…Despite many studies of HIV in blood donors, no studies have evaluated the factors that contribute to stigma surrounding this illness following notification process and counseling provided by blood centers. Methods: A cross-sectional questionnaire-based survey was conducted between 2016 and 2017. …”
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Psychological safety and primary care physicians’ well-being, work conditions and guideline adherence behavior: a cross-sectional study in China by Wenhua Wang, Jinnan Zhang, Rebecca Mitchell, Stephen Nicholas, Elizabeth Maitland, Jiao Lu, Xiaodong Liu

“…Psychological safety was positively associated with professional commitment and self-directed learning and also greater adherence to clinical guidelines and the increased provision of preventive care. …”
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S100A11 as an immune-related exosomal driver of colorectal cancer progression: a novel diagnostic biomarker by Haibo Wang, Rongchao He, Deng Liu, Jun He, Zhong Shen

“…This study aims to identify exosome-related biomarkers in CRC and elucidate the functional significance of S100A11 in tumor progression and immune regulation.MethodsWe integrated multi-cohort transcriptomic data from TCGA and GEO databases and applied a machine learning triad (LASSO-SVM-Random Forest) to identify robust exosomal biomarkers for CRC. …”
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Region-Focusing Data Augmentation via Salient Region Activation and Bitplane Recombination for Target Detection by Huan Zhang, Xiaolin Han, Weidong Sun

“…More specifically, to boost the utilization of the positive regions and typical negative regions, a new surroundedness-based strategy for salient region activation is proposed, through which new samples with meaningful focusing regions can be generated. …”
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Insider threat detection for specific threat scenarios by Tian Tian, Chen Zhang, Bo Jiang, Huamin Feng, Zhigang Lu

“…Additionally, these methods struggle to accurately identify long-distance dependencies in behavior sequences, frequently increasing false positives. …”
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Preoperatively-determined Red Distribution Width (RDW) predicts prolonged length of stay after single-level spinal fusion in elderly patients by Anton Früh, Dietmar Frey, Adam Hilbert, Claudius Jelgersma, Christian Uhl, Nitzan Nissimov, Peter Truckenmüller, David Wasilewski, Dimitrios Rallios, Matthias Hoppe, Simon Bayerl, Nils Hecht, Peter Vajkoczy, Lars Wessels

“…The data shows a significant positive correlation between RDW and LOS. RDW is significantly enhanced in the pLOS group. …”
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Artificial Intelligence in Virtual Screening: Transforming Drug Research and Discovery—A Review by Sayantani Roy, Karuppiah Nagaraj, Amit Mittal, Flora C. Shah, Kaliyaperumal Raja

“…This approach, which includes both ligand-based and structure-based methods, aims to discriminate between active and inactive molecules to facilitate the identification of potential therapeutic agents. …”
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Robust skeletal motion tracking using temporal and spatial synchronization of two video streams. by Vytautas Abromavičius, Ervinas Gisleris, Kristina Daunoravičienė, Jurgita Žižienė, Artūras Serackis, Rytis Maskeliūnas

“…Accurate and reliable skeletal motion tracking is essential for rehabilitation monitoring, enabling objective assessment of patient progress and facilitating telerehabilitation applications. Traditional marker-based motion capture systems, while highly accurate, are costly and impractical for home rehabilitation, whereas marker-less methods often suffer from depth estimation errors and occlusions. …”
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STUDY OF THE AGILITY OF MOVEMENT OF SOFIA UNIVERSITY STUDENTS PARTICIPATING IN TENNIS CLASSES by R. Kostadinov

“…Methods: For the purposes of the study, we used field testing, analyticalsynthetic and mathematical-statistical methods (variation analysis, sigma method). …”
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Teacher Perspectives on Supporting Students With Stuttering in Schools and Preschools by Anna Michalczyk, Aleksanda Ślusarczyk

“…CONCLUSIONS, RECOMMENDATIONS, AND APPLICABLE VALUE OF RESEARCH: A critical first step to increasing teachers’ awareness of stuttering is incorporating evidence-based content into the Integrated Learning Platform. …”
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Designing diverse and high-performance proteins with a large language model in the loop. by Carlos A Gomez-Uribe, Japheth Gado, Meiirbek Islamov

“…Compared to alternative models, Seq2Fitness improves Spearman correlation with experimental fitness measurements, increasing from 0.34 to 0.55 on sequences containing mutations at positions entirely not seen during training. BADASS requires less memory and computation compared to gradient-based Markov Chain Monte Carlo methods, while generating more high-fitness and diverse sequences across two protein families. …”
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Digital empowerment for innovative teaching: application and mediating effects of information technology in physical education teachers’ practices by Bochuan Zhao, Junji Chen, Jiefu Yang, Yuqi Su

“…Mediation analysis revealed that teaching methods and content fully mediated the relationship between IT teaching and assessment and management.DiscussionThe findings suggest that IT integration allows PE teachers to create more diverse and innovative learning experiences. …”
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Rapid, Tailored Dietary and Health Education Through A Social Media Chatbot Microintervention: Development and Usability Study With Practical Recommendations by Shahmir H Ali, Fardin Rahman, Aakanksha Kuwar, Twesha Khanna, Anika Nayak, Priyanshi Sharma, Sarika Dasraj, Sian Auer, Rejowana Rouf, Tanvi Patel, Biswadeep Dhar

“… BackgroundThere is an urgent need to innovate methods of health education, which can often be resource- and time-intensive. …”
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Serological evidence of Yersinia pestis infection in rodents and carnivores in Northwestern Iran. by Saber Esmaeili, Parisa Esmaeili, Ahmad Mahmoudi, Ahmad Ghasemi, Ali Mohammadi, Amin Bagheri, Aria Sohrabi, Farshid Rezaei, Hamed Hanifi, Amir Hesam Neamati, Mohammad Mehdi Gouya, Ehsan Mostafavi

“…There were no positive cases of Y. pestis in the rodents and fleas based on the culture and real-time PCR.…”
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