Inter-session Reliability of Magnetic Nerve Stimulation and Within-Session comparison to Electrical Nerve Stimulation in Evaluating Neuromuscular Function of Knee Extensor Muscles by Romina Ledergerber, Martin Keller

“…Intraclass correlation (ICC), Coefficient of variation (CV) and mean absolute percentage error (MAPE) were used to assess measurement precision. …”
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Price transmission and market integration analysis of black gram (urad dal) across major Indian states by Sukhvir Singh, Amit Guleria, Parvender Sheoran, Pankaj Sood, Vishal Mahajan, Dharminder Kumar, Satbir Singh, Gurdeep Singh, Rajesh K. Rana

“…Various statistical tools, including CAGR, decomposition analysis, instability analysis, seasonal indices, correlation analysis, Johansen co-integration, Granger causality, Vector Error Correction Model (VECM), impulse response function, and variance decomposition, were used for data analysis.ResultsThe findings indicate that black gram production and price dynamics are influenced by multiple factors. …”
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Your brain on art, nature, and meditation: a pilot neuroimaging study by Beatrix Krause-Sorio, Sergio Becerra, Prabha Siddarth, Stacey Simmons, Taylor Kuhn, Helen Lavretsky

“…Meditation compared to nature videos led to activity in bilateral sensory and object processing areas, as well as a left sensory integration region (error monitoring), while meditation compared to art showed activity in left sensory integration and right sensorimotor regions. …”
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A nomogram based on ultrasound scoring parameters and clinical indicators for differentiating primary Sjὅgren′s syndrome from IgG4-related sialadenitis by LIU Chuxuan, ZUO Jiaxin, XIONG Ping

“…The bootstrap method was used for internal validation with 1 000 resampling iterations, and the average absolute error was 0.018. Calibration curve demonstrated good agreement between predicted and observed values. …”
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Risk factors for fear of falling in stroke patients: a systematic review and meta-analysis by Li Ma, Qi Xie, Juhong Pei, Ling Gou, Yabin Zhang, Juanping Zhong, Yujie Su, Xinglei Wang, Xinman Dou

“…Measurement of heterogeneity between studies was high for all outcomes (I2=0%–93%), indicating that the substantial interstudy heterogeneity in estimated proportions was not attributed to the sampling error. Sensitivity analysis (leave-one-out method) showed that the pooled estimate was stable.Conclusion This meta-analysis indicated that female population, impaired balance ability, lower mobility, history of falls and walking aid in patients with stroke might be at greater risk for FoF. …”
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Real-World Smartphone Data Predicts Mood After Ischemic Stroke and Transient Ischemic Attack Symptoms and May Constitute Digital Endpoints: A Proof-of-Concept Study by Stephanie Zawada, PhD, MS, Jestrii Acosta, MS, Caden Collins, BA, Oana Dumitrascu, MD, MS, Ehab Harahsheh, MBBS, Clinton Hagen, MS, Ali Ganjizadeh, MD, Elham Mahmoudi, MD, Bradley Erickson, MD, PhD, Bart Demaerschalk, MD, MSc

“…Conclusion: Smartphone sensors captured objective behavior measures in patients with IS/TIA. …”
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A web-based platform for optimizing healthcare resource allocation and workload management using agile methodology and WISN theory by Akash Gajanan Prabhune, P S Karpaga Priya, Rohit Chandra, Ankur Thakur, Viany R Srihari, Sachin S Bhat

“…However, manual implementation of the WISN methodology is labour-intensive, error-prone, and time-consuming. To address these challenges, the Platform for Resource Allocation and Optimization for Healthcare Facilities (PRAYOJN) platform was developed as a web-based tool to automate WISN calculations, streamline data analysis, and improve workforce planning. …”
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Early-onset difficult-to-treat rheumatoid arthritis: proposal of data-driven predictors and temporal threshold by Pablo Rodriguez-Merlos, Jose Luis Cabrera-Alarcón, Virginia Ruiz-Esquide, Chafik Alejandro Chacur, Raimon Sanmartí, Eugenio De Miguel-Mendieta, Jose María Álvaro-Gracia, Alejandro Balsa, Chamaida Plasencia-Rodríguez, Marta Novella-Navarro

“…The variables presence of anxiety-depressive syndrome (ADS) at first b/tsDMARD, CRP at 6 months after starting the first b/tsDMARD and age at disease diagnosis were selected based on their contracted scores from the LASSO Cox-regression model, following the criterion of minimizing the cross-validated error. DBSCAN clustering based on selected variables identified three clusters. …”
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Characteristics of the fundus and optical coherence tomography angiography metrics in myopic patients with myelinated retinal nerve fibers by Weiming Yang, Ruoyan Wei, Chi Zhang, Chen Huang, Feng Lin, Yang Shen, Chenhao Yang, Xingtao Zhou, Meiyan Li

“…Methods The single-center case-control study included 15 patients with monocular MRNF and 15 patients without MRNF, matched for age, affected eyes’ spherical equivalent error (SER), and axial length (AL) between May 2021 and December 2021. …”
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Electroencephalography-Based Recognition of Low Mental Resilience Using Multi-Condition Decision-Level Fusion Approach by Rumaisa Abu Hasan, Tong Boon Tang, Muhamad Saiful Bahri Yusoff, Syed Saad Azhar Ali

“…The features with the best goodness of fit model were then used to classify individuals into a low and high mental resilience class.Results: The EC features using phase slope index achieved the highest adjusted <inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula> and the lowest root mean square error, compared to the spectral and FC features. …”
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Pulmonary regional blood flow: validation of low-dose two-volume dynamic CT perfusion imaging in a swine model by Yixiao Zhao, Nile Luu, Logan Hubbard, Shant Malkasian, Sabee Molloi

“…Results Two-volume global perfusion measurements (P 2V) were related to reference multivolume (P MV) measurements by P 2V = 0.96 × P MV + 0.45 (r = 0.92), with a root-mean-square error of 1.29 mL/min/g and a root-mean-square deviation of 1.29 mL/min/g. …”
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Development of the children's primitive reflex integration assessment scale by Meng Wang, Jing Yu, Hongyao Li, Chongran Zhao, Yichao Li, Xinyue Yang

“…For formal testing data, Cronbach's α assessed the reliability of the scale, while fit indices such as chi-square value/degrees of freedom (χ2/df), Root Mean Square Error of Approximation (RMSEA), and Comparative Fit Index (CFI), along with tests of construct validity, evaluated the scale's validity.ResultsOverall, 555 participants were selected, 234 children with a mean age of 7.59 ± 0.71 years participated in the pilot testing, while 321 children with a mean age of 7.73 ± 0.71 years participated in the formal testing. …”
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Parents’ understanding and attitudes toward the application of AI in pediatric healthcare: a cross-sectional survey study by Yan-Dan Huang, Shu-Long Zeng, Jie Lin, Zhi-Peng Mao, Qi-Liang Zhang, Gao-Zhong Feng, Qiong-Xia Ou

“…Key concerns included perceived inaccuracy and the potential for misdiagnosis (52%), as well as uncertainty regarding accountability in the event of an error (44.5%). Most participants (91.1%) believed that AI cannot replace doctors in the future.ConclusionAlthough most parents were aware of the use of AI in pediatric healthcare and recognized its convenience and efficiency, they expressed concerns about accuracy, accountability, and data privacy. …”
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Prevalence and correlates of microalbuminuria in high-risk persons with hypertension, diabetes, or HIV at a tertiary hospital in Zambia. by Luyando Mutelo, Cornelius Simutanda, Lweendo Muchaili, Bislom C Mweene, Situmbeko Liweleya, Sydney Mulamfu, Gift C Chama, Lukundo Siame, Benson M Hamooya, Sepiso K Masenga

“…Sample size was calculated using the formula for a single proportion (expected prevalence: 30%, margin of error: 5%, 95% CI), yielding 323; we recruited 306 due to logistical constraints. …”
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Use of High Performance Liquid Chromatography in the Analysis of a New Substance VMA-10-18 by E. S. Mischenko, J. S. Lazaryan, A. Jh. Lazaryan

“…Also, the free term of the linear dependence equation (a) for both impurities was less than its confidence interval (Δа), which proves the absence of a systematic error of the method. When determining the "Convergence" indicator, the calculated relative standard deviation did not exceed 2 %. …”
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Interplay of education and community norms in justifying intimate partner violence among ever-married women aged 15–49 years in Bangladesh: a cross-sectional study by Mohammad Hridoy Patwary, Sumaiya Nusrat Esha

“…The parametric g-formula was employed to estimate potential outcome probabilities of IPV justification under hypothetical scenarios, with bootstrapping used for standard error calculations. Results 13.9% of the ever-married women in Bangladesh aged 15–49 years justified IPV. …”
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Applying machine learning with MobileNetV2 model for rapid screening of vaginal discharge samples in vaginitis diagnosis by Thi Bang-Suong Nguyen, Hoang-Bac Nguyen, Thi Xuan-Thao Le, Thi Hong-Chau Bui, Le Song-Toan Nguyen, Thao-Huong Nguyen, Truong Cong-Minh Nguyen

“…Integrating AI into vaginitis diagnosis could enhance efficiency, reduce human error, and improve early detection, ultimately advancing patient care.…”
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Organizational interventions and strategies for COVID-19 pandemic management in acute care setting: A qualitative interview study with nurse leaders in German hospitals by Maria Zink, Johannes Wendsche, Steffi G. Riedel-Heller, Franziska Jung, Marlen Melzer

“…This study highlights the importance of flexibility, creativity, internal and external support, leadership, crisis communication, participatory decision-making, evaluation, and error management in crisis management. Conclusion: This study provides a comprehensive documentation of hospital pandemic management from the perspective of nurse leaders, offering a basis for future research and practice. …”
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Creation of a Custom 3D Algorithm for Proper Alignment of Straight Nails in Tibiotalocalcaneal Arthrodesis by Omer Subasi PhD, Wei Shao Tung BS, Julian Hollander Bsc, Samir Ghandour MD, Atta Taseh MD, Nour Nassour MD, Adarsh Aratikatla, Alireza Ebrahimi MD, Bernard Burgesson MD, Soheil Ashkani-Esfahani MD, John Y. Kwon MD

“…The root mean (SD) square error of the affine transformation was 1.62 ± 1.02 mm, demonstrating the validity of mapping. …”
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Non-invasive arterial input function estimation using an MRA atlas and machine learning by Rajat Vashistha, Hamed Moradi, Amanda Hammond, Kieran O’Brien, Axel Rominger, Hasan Sari, Kuangyu Shi, Viktor Vegh, David Reutens

“…The area under the curve (AUC) of IDIF-Brain and IDIF-DA were similar, with an average relative error of 9%. The mean Pearson correlations between kinetic parameters (K 1 , k 2 , k 3 ) estimated with IDIF-DA and IDIF-Brain for each voxel were between 0.92 and 0.99 in all subjects, and for K i , it was above 0.97. …”
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