Channel attention pyramid network for remote physiological measurement by Jing Zhang, Haixin Sun, Yuhao Hu, Guanghao Zhu, Fang Liu, Boyun Yan, Jiahao Pu, Xiaohui Du, Juanxiu Liu, Lin Liu, Ruqian Hao, Xingguo Wang, Yong Liu

“…The article presents a comprehensive overview of CAP-rPPG, an innovative method for remote physiological measurement through video analysis. This method employs a multi-scale deep learning architecture with a Gaussian pyramid to capture facial features at different scales that are often overlooked in prior work. …”
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Comprehensive Assessment of Drought Susceptibility Using Predictive Modeling, Climate Change Projections, and Land Use Dynamics for Sustainable Management by Jinping Liu, Mingzhe Li, Renzhi Li, Masoud Jafari Shalamzari, Yanqun Ren, Esmaeil Silakhori

“…The development of current (2022) and future drought susceptibility maps was based on agrometeorological sample points and 14 environmental factors—such as land use, precipitation, mean temperature, soil moisture, and remote sensing-driven vegetation indices—used as inputs into a machine learning model, maximum entropy. The model showed a very robust predictive capacity, with AUCs for the training and test data of 0.929 and 0.910, thus certifying the model’s reliability. …”
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Shock digitalisation of education: The perception of participants of the educational process by V. L. Nazarov, D. V. Zherdev, N. V. Averbukh

“…As a result of the survey conducted, more than 24,500 original responses were received and processed. The data obtained were compared with the results of secondary studies (primarily, with the monitoring studies of the Higher School of Economics).Results. …”
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Navigating electives: Perspectives from phase III MBBS students and faculty in program evaluation by Sujatha Karjigi, Shyamala KK, Divya Gupta, Karthik R

“…Background: An elective is a learning experience created in the competency-based medical education curriculum to provide an opportunity for the learner to explore, discover, and experience areas or streams of interest in the profession. …”
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How does Family Socioeconomic Status influence Children's Cardinality Principle? The chain mediation roles of Approximate Number System and Receptive Vocabulary Skills by Huanhuan Li, Yifang Wang, Bingyu Duan, Qiaoke Kuang, Xinxin Guo, Enwei Xu

“…After controlling for child gender and age, mediation analysis indicated that the Family Socioeconomic Status had a direct positive effect on children's Cardinality Principle. …”
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Next-generation cutting-edge hybrid AI frameworks for predicting rheological properties and CO₂ emissions in alkali-activated concrete by Lu Zhang, Kangning Liu, Ali H. AlAteah, Sadiq Alinsaif, Muhammad Sufian, Ayaz Ahmad

“…These models were trained on experimental data to estimate the key rheological parameters and further validated using statistical metrics such as MSE, MAE, RMSE, MARE, precision, recall and F1 score. …”
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Development and Psychometric Validation of Tinnitus Qualities and Impact Questionnaire by Vinaya Manchaiah, Gerhard Andersson, Eldré W. Beukes, Marc A. Fagelson, De Wet Swanepoel, Eithne Heffernan, David Maidment

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Scleral Thickness in Eyes with Pachychoroid Pigment Epitheliopathy Accompanied by Keratoconus by Paolo Forte, MD, Alessandro Feo, MD, Hideki Koizumi, MD, PhD, Enrico Borrelli, MD, PhD, Riccardo Manocchio, MD, Luca Di Cello, MD, PhD, Francesco Biagini, MD, Francesco Macocco, MD, Gabriele Drago, MD, Giovanni Forte, MD, Aldo Vagge, MD, PhD, Christian Gianoglio, PhD, Vincenzo Fontana, PhD, Michele Iester, MD, PhD, Massimo Nicolò, MD, PhD, Mario R. Romano, MD, PhD, Chiara Bonzano, MD, PhD

“…To accommodate for the potential clustering effect due to within-patient correlated eye data, a generalized estimating equation procedure was applied to regression analysis. …”
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Family members of patients on hemodialysis: living with chronical health condition by Vânia Moreno

“…A semi structured interview was used as data collection and the analysis of data was made through thematic analysis. …”
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Metabolic profiles in laryngeal cancer defined two distinct molecular subtypes with divergent prognoses by Dan Zheng, Dan Zheng, Xuan Pu, Xuan Pu, XuHui Deng, XuHui Deng, Cui Liu, Cui Liu, SiJun Li, SiJun Li

“…Therefore, this study aimed to identify metabolism-related LCA subtypes through a comprehensive analysis of transcriptomic, mutational, methylation, and single-cell RNA sequencing, in hopes of finding factors which influences the prognosis of LCA.MethodsFirst, to identify metabolism-related LCA subtypes, data from 114 patients with LCA from The Cancer Genome Atlas (TCGA) dataset were collected for an unsupervised clustering analysis, which focused on the expression characteristics of survival-related metabolic genes. …”
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A Framework for Leadership in Organizational Development: A Novel Approach for Advancing Women Administrative and Faculty Leaders in Academic Medicine by Williams WE, Baker MK, Denton L, Andreski P, Jacobs SR, Wooten LP, Singer K

“…Analysis of survey data used a t-test to determine significantly different scores pre- and post-test for each composite measure.Results: Participants in this intensive program reported increased agreement with skill development across all competencies except for personal growth, where there was no statistically significant increase, and increased expectations about the program’s ability to enhance recognition, visibility, and opportunities to impress institutional leadership. …”
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Integration of single-cell RNA and bulk RNA sequencing revealed malignant ductal cell heterogeneity and prognosis signatures in pancreatic cancer by Haiyang Du, Haiyang Du, Gao Si, Jiqing Si, Xuejie Song, Xuejie Song, Fuchun Si, Fuchun Si

“…Non-negative matrix factorization (NMF) identified stage-associated gene modules, which were integrated with TCGA bulk-RNA data and machine-learning feature selection to pinpoint candidate prognostic genes. …”
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Elucidation of Dysregulated Pathways Associated With Hypoxia in Oestrogen Receptor‐Negative Breast Cancer by Suad A. K. Shamis, Jean Quinn, Sara Al‐Badran, Molly McKenzie, Phimmada Hatthakarnkul, Gerard Lynch, Guang‐Yu Lian, Warapan Numprasit, Laszlo Romics Jr., Ditte Andersen, Elizabeth Mallon, Donald C. McMillan, Joanne Edwards

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Predicting Treatment Outcomes in Glioblastoma: A Risk Score Model for TMZ Resistance and Immune Checkpoint Inhibition by Nazareno Gonzalez, Melanie Perez Küper, Matias Garcia Fallit, Alejandro J. Nicola Candia, Jorge A. Peña Agudelo, Maicol Suarez Velandia, Ana Clara Romero, Guillermo Agustin Videla-Richardson, Marianela Candolfi

“…We assessed immune cell infiltration, immunosuppressive mediators, and epithelial–mesenchymal transition (EMT) markers in each group using correlation analysis, Gene Set Enrichment Analysis (GSEA), and machine learning. …”
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A new band selection approach integrated with physical reflectance autoencoders and albedo recovery for hyperspectral image classification by V. Sangeetha, L. Agilandeeswari

“…However, the high dimensionality of hyperspectral data poses significant challenges in analysis and interpretation. …”
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Identification of stemness subtypes and prognostic modeling in thyroid cancer: the critical role of DPYSL3 in tumor progression and immune microenvironment by Jialong Yu, Wei Luo, Guangwei Xu, Mei Tao, Yuqi Wang, Qiman Dong, Linfei Hu, Xiukun Hou, Jingzhu Zhao, Dapeng Li, Songfeng Wei, Xianhui Ruan, Xiangqian Zheng

“…Methods Utilizing transcriptomic data from thyroid carcinoma (THCA) patients in The Cancer Genome Atlas (TCGA) database, we calculated the stemness index (mRNAsi) using the one-class logistic regression (OCLR) method. …”
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Analizar los rasgos definitorios de un currículo de formación de profesionales de la salud basados en interculturalidad de una facultad de medicina: analizado desde la fenomenograf... by Claudia Pérez Acuña, José Luis Medina

“…Twenty-seven interviews were carried out with students, teachers and authorities of a medical school, chosen by opinion sampling. Data analysis was carried out using the 7 steps for phenomenographic analysis described by Dahlgren and Fallsberg. …”
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Secondary prevention by striking the balance in 24-hour movement behaviour by empowering people at risk with a stroke: rationale and design of the RISE intervention randomised cont... by Johanna M van Dongen, Coralie English, Johanna M A Visser-Meily, Cindy Veenhof, Yvonne A W Hartman, Camille F M Biemans, Suzanne Broers, Sophie Pagen, Wendy Hendrickx, Olaf W Verschuren, Martijn F Pisters

“…Secondary outcomes include cost-effectiveness for MACE prevention and QALYs and changes in 24-hour movement behaviour over time using compositional data analysis.Ethics and dissemination Ethical approval is obtained from Medical Ethics Review Committee Utrecht, NedMec NL83940.000.23. …”
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Evaluation of the effect of Holstein bulls breeding value on cows’ milk productivity of Ukrainian Black-and-White dairy breed by V. V. Mykytiuk, P. V. Bodnar, A. O. Boiko, L. I. Muzyka, V. Ye. Bodnaruk, A. Y. Zhmur

“…The data was the material for the investigation on zootechnical and breeding registration of cows, borrowed from the electronic information base DFMS “Intesel Orsek” as of August 2024. …”
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Screening for breast cancer: a systematic review update to inform the Canadian Task Force on Preventive Health Care guideline by Alexandria Bennett, Nicole Shaver, Niyati Vyas, Faris Almoli, Robert Pap, Andrea Douglas, Taddele Kibret, Becky Skidmore, Martin Yaffe, Anna Wilkinson, Jean M. Seely, Julian Little, David Moher

“…For observational data, the relative mortality risk reduction ranged from 29 to 62%. …”
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