Low-cost male urogenital simulator for penile implant surgery training: a 3D printing approach by Zixi Wang, Carlo Saija, Nicholas Raison, Abdullatif Aydin, Zhouyang Xu, Katie Zuo, Kawal Rhode, Antonia Pontiki

“…The session began with a demonstration of penile implant surgery and error detection. Trainees, averaging three per simulator, practiced corporotomy, dilation, measurement, penile prosthesis, and scrotal pump placement under expert guidance. …”
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AI-based automatic estimation of single-kidney glomerular filtration rate and split renal function using non-contrast CT by Yiwei Wang, Feng Xu, Qiuyue Han, Daoying Geng, Xin Gao, Bin Xu, Wei Xia

“…The Pearson correlation coefficient (r), mean absolute error (MAE), and Lin’s concordance coefficient (CCC) were calculated to evaluate the correlations, differences, and agreements between estimations and SPECT-based measurements, respectively. …”
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Academic motivation in association with mental health and quality of life among medical and health science students: a survey in Vietnam by Ngoc Le Mai Duong, Viet Ha Nguyen, Minh Tri Ngo, Dai Minh Le, Tien Dat Nguyen, Thi Thu Trang Nguyen, Huu Tu Nguyen, Bao Giang Kim, Thanh Tung Pham

“…The relationships between academic motivation and anxiety (screened by GAD-7), depression (screened by PHQ-9), and quality of life (assessed by SF-12) were analyzed using modified Poisson regression with robust error variances and linear regression models. Results Among 1723 participants (85.1% response rate), 57.1% were female, 58.4% were first-year, and 75.7% were in doctor programs. …”
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Reliability of Average Daily Steps Measured Through a Consumer Smartwatch in Parkinson Disease Phenotypes, Stages, and Severities: Cross-Sectional Study by Edoardo Bianchini, Domiziana Rinaldi, Lanfranco De Carolis, Silvia Galli, Marika Alborghetti, Clint Hansen, Antonio Suppa, Marco Salvetti, Francesco Ernesto Pontieri, Nicolas Vuillerme

“…Intraclass correlation coefficient (ICC; 3,k), standard error of measurement (SEM), and minimal detectable change (MDC) were used to evaluate the reliability of avDS for each subgroup. …”
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Risk Factor Analysis and Prediction Model Construction and Validation of Depression During Pregnancy by Huiling Qu, Yanna Zhou, Yi Yu

“…A nomogram model was developed based on the multifactor analysis, showing a mean absolute error of 0.011 in the calibration curve, indicating good predictive accuracy. …”
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Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated Dataset by Takuya Fukushima, Masae Manabe, Shuntaro Yada, Shoko Wakamiya, Akiko Yoshida, Yusaku Urakawa, Akiko Maeda, Shigeyuki Kan, Masayo Takahashi, Eiji Aramaki

“…ConclusionsRAG demonstrated notable improvements across all evaluation metrics, suggesting potential for further enhancement through the expansion of RAG data. …”
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Remote sensing reveals the role of forage quality and quantity for summer habitat use in red deer by Thomas Rempfler, Christian Rossi, Jan Schweizer, Wibke Peters, Claudio Signer, Flurin Filli, Hannes Jenny, Klaus Hackländer, Sven Buchmann, Pia Anderwald

“…Females showed higher levels of use of the Swiss National Park. Conclusions Red deer in summer habitats select forage quantity over quality with little difference between sexes. …”
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Genetic and environmental contributions to epigenetic aging across adolescence and young adulthood by Dmitry V. Kuznetsov, Yixuan Liu, Alicia M. Schowe, Darina Czamara, Jana Instinske, Charlotte K. L. Pahnke, Markus M. Nöthen, Frank M. Spinath, Elisabeth B. Binder, Martin Diewald, Andreas J. Forstner, Christian Kandler, Bastian Mönkediek

“…The variance due to genetic contributions, in turn, potentially increased across age groups for epigenetic aging estimators trained in adult samples (Horvath Acceleration: 18–39%; GrimAge Acceleration: 24–43%; DunedinPACE: 42–57%). Conclusions Transition to adulthood is a period of the increasing variance in epigenetic aging. …”
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Midlife cognitive testing in Africa: validity of the Harmonised Cognitive Assessment Protocol in the Kenya Life Panel Survey by Jinkook Lee, Anthony Ngugi, Joshua R Ehrlich, William H Dow, Alden L Gross, Madeline Duhon, Eric Ochieng, Jean N Ikanga, Michael W Walker, Michelle Layvant, Edward A Miguel

“…Statistical models also suggest invariance at the scalar level for leading demographic (gender, age) and socioeconomic (education, occupational complexity) characteristics.Conclusions This study demonstrates that the cognitive functioning of mid-age Kenyans appears to be well captured by the adapted protocol. …”
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The Hausa 12-item short-form health survey (SF-12): Translation, cross-cultural adaptation and validation in mixed urban and rural Nigerian populations with chronic low back pain.... by Aminu Alhassan Ibrahim, Mukadas Oyeniran Akindele, Sokunbi Oluwaleke Ganiyu, Bashir Kaka, Bashir Bello Abdullahi, Surajo Kamilu Sulaiman, Francis Fatoye

“…<h4>Results</h4>After the CFA of the original conceptual SF-12 model, 2 redundant items were removed and 4 error terms were allowed to covary, thus providing adequate fit to the sample. …”
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Enzyme replacement therapy for Anderson-Fabry disease: A complementary overview of a Cochrane publication through a linear regression and a pooled analysis of proportions from coho... by Regina El Dib, Huda Gomaa, Alberto Ortiz, Juan Politei, Anil Kapoor, Fellype Barreto

“…<h4>Background</h4>Anderson-Fabry disease (AFD) is an X-linked recessive inborn error of glycosphingolipid metabolism caused by a deficiency of alpha-galactosidase A. …”
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Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Usin... by Yan Zhuang, Junyan Zhang, Xiuxing Li, Chao Liu, Yue Yu, Wei Dong, Kunlun He

“…Few-shot experiments showed that performance stabilized and the AUC peaked at 500 shots. ConclusionsThese findings underscore the effectiveness and superior performance of prompt learning and fine-tuning for subtasks within pretrained language models in medical practice. …”
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Intention to Use a Mental Health App for Menopause: Health Belief Model Approach by Nayra A Martin-Key, Erin L Funnell, Jiri Benacek, Benedetta Spadaro, Sabine Bahn

“…Perceived severity (β=.01, P=.869) and self-efficacy (β=.03, P=.286) were not significantly associated with behavioral intention. ConclusionsThis study reveals important factors that influence the intention to use a mental health app during menopause. …”
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Development and psychometric evaluation of the Japanese version of the Nurse Professional Competence Scale Short-Form by Sachiko Tanabe, Mika Tanaka, Yoko Arai, Kanae Matsuo, Sigrid Nakrem, Ann Gardulf

“…Confirmatory factor analysis showed the CMIN/df value was 2.46, and the root mean square error of approximation value was 0.07. Concurrent validity analysis showed significant moderate correlations (r = 0.45 and 0.49, p < 0.001). …”
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Predictive Modelling of H2S Removal from Biogas Generated from Palm Oil Mill Effluent (POME) Using a Biological Scrubber in an Industrial Biogas Plant: Integration of Artificial Ne... by Joanna Lisa Clifford, Yi Jing Chan, Mohd Amran Bin Mohd Yusof, Timm Joyce Tiong, Siew Shee Lim, Chai Siah Lee, Woei-Yenn Tong

“…The ANN model achieved a high coefficient of determination (R2) of 0.9 and a low mean squared error (MSE), with the bioscrubber reaching an H2S removal efficiency of approx. 96 %. …”
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Laryngeal recurrence sites in patients previously treated with transoral laser microsurgery for squamous cell carcinoma by P. Horwich, M. H. Rigby, C. MacKay, J. Melong, B. Williams, M. Bullock, R. Hart, J. Trites, S. M. Taylor

“…Conclusions Laryngeal recurrence sites following TLM seem to be consistent with historical data at known laryngeal sites of vulnerability. …”
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Nanomedicines Targeting Metabolic Pathways in the Tumor Microenvironment: Future Perspectives and the Role of AI by Shuai Fan, Wenyu Wang, Wenbo Che, Yicheng Xu, Chuan Jin, Lei Dong, Qin Xia

“…The traditional trial-and-error process is relatively inefficient. Artificial intelligence (AI) can integrate big data to evaluate the accumulation and delivery efficiency of nanomedicines, thereby assisting in the design of nanodrugs. …”
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Development of In Vitro Potency Methods to Replace In Vivo Tests for Enterovirus 71 Inactivated Vaccine (Human Diploid Cell-Based/Vero Cell-Based) by Xuanxuan Zhang, Li Yi, Dan Yu, Jun Li, Xintian Li, Xing Wu, Fan Gao, Qian He, Wenhui Wang, Kaiwen Wang, Zejun Wang, Zhengling Liu, Yadong Li, Yong Zhao, Huiyi Li, Xiao Ma, Qingbing Zheng, Longfa Xu, Tong Cheng, Rui Zhu, Jing Guo, Jing Li, Qunying Mao, Zhenglun Liang

“…All IVRP methods achieved a relative bias/precision/total error ≤ 15%. The IVRP methods correlated with in vivo methods (<i>p</i> < 0.05, r > 0.9) can discriminate EV71 antigen concentrations (<i>p</i> < 0.01, r > 0.99) and indicate the stability of the vaccines. …”
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Handling of missing component information for common composite score outcomes used in axial spondyloarthritis research when complete-case analysis is unbiased by Christos Polysopoulos, Stylianos Georgiadis, Lykke Midtbøll Ørnbjerg, Almut Scherer, Daniela Di Giuseppe, Merete Lund Hetland, Michael John Nissen, Gareth T. Jones, Bente Glintborg, Anne Gitte Loft, Johan Karlsson Wallman, Karel Pavelka, Jakub Závada, Ayten Yazici, Maria José Santos, Adrian Ciurea, Burkhard Möller, Brigitte Michelsen, Pawel Mielnik, Johanna Huhtakangas, Heikki Relas, Katja Perdan Pirkmajer, Ziga Rotar, Ross MacDonald, Bjorn Gudbjornsson, Irene van der Horst-Bruinsma, Marleen van de Sande, Myriam Riek

“…However, since MI is susceptible to incorrect implementation and its performance may become questionable with increasing missingness, we consider the implementation of an error-free CC approach a valid and valuable option. …”
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Complete spatiotemporal quantification of cardiac motion in mice through multi-view magnetic resonance imaging and super-resolution reconstruction by Tanmay Mukherjee, Maziyar Keshavarzian, Elizabeth M. Fugate, Vahid Naeini, Amr Darwish, Jacques Ohayon, Kyle J. Myers, Dipan J. Shah, Diana Lindquist, Sakthivel Sadayappan, Roderic I. Pettigrew, Reza Avazmohammadi

“…The effects of SRR on CMR quality were verified in all mice through image metrics, namely, root mean squared error (MSE) and structural similarity index. Strain calculations were validated against an in silico heart model phantom through MSE analysis, followed by investigations of strain accuracy and reproducibility for all mice using MSE and coefficient of variation analyses. …”
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