Development and validation of a comprehensive tool to study the various elements influencing the utilization of E-learning among undergraduate health professions students by Archana Prabu Kumar, Prabu Kumar Chokkalingam Mani, Komal Atta, Abirami Omprakash, K. Maheshkumar, Hany Atwa, K. N. Maruthy, Padmavathi R.

“…Model fit was assessed using indices such as Goodness-of-Fit Index (GFI), Adjusted Goodness-of-Fit Index (AGFI), Root Mean Square Error of Approximation (RMSEA), Normed Fit Index (NFI), Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), and Standardized Root Mean Square Residual (SRMR). …”
Get full text

Effect of low-intensity resistance training at different levels of blood flow restriction on pain, proprioception and muscle strength in patients with knee osteoarthritis: a random... by Yongjie Li, Shenyu Fu, Dakuan Zhang, Mengling Liu, Hongju Liu

“…No serious intervention-related adverse effects were reported in either group, and patient adherence and tolerance were satisfactory. Conclusion BFR at 80% AOP combined with LIRT appears to be the most effective protocol for improving pain, proprioception, and muscle strength in KOA patients, compared to LIRT + BFR30% and LIRT + BFR50%. …”
Get full text

Quantitative Analysis of the Minimum Clinically Important Difference in the Brief Pain Inventory After Total Knee Arthroplasty by Wang S, Yao S, Xiao P, Shang L, Xu C, Ma J

“…Comparisons with the gold standard highlighted the 0.65ES, 1.96SEM, and 0.5SRM methods as the most suitable approaches for distribution-based MCID estimation.Conclusion: The MCID for BPI in TKA patients was established using both anchor-based and distribution-based methods. …”
Get full text

Validity and Short-Term Repeatability of a Novel Hand-Held Respiratory Health Meter for the Assessment of Dynamic Maximal Respiratory Pressures in Healthy Young Adults by Ryynänen H, Sovijärvi A, Kuronen I, Ahokas EK, Valtonen M, Ihalainen JK, Multanen J

“…The short-term repeatability of the dMIP and dMEP in one week interval proved to be moderately good in terms of the coefficient of variation (CV), the intraclass correlation coefficient (ICC), the standard error of measurement (SEm) and minimal detectable change (MDC) (10.0%, 0.825, p< 0.001, 7 cmH2O and 20 cmH2O and 9.1%, 0.895, p< 0.001, 12 cmH2O and 34 cmH2O, respectively).Conclusion: The results indicate that the WellO2-RHM is a valid and repeatable method for the assessment of dMIP and dMEP in asymptomatic young adults, but the absolute values are lower than those obtained with devices measuring quasi-static MIP and MEP. …”
Get full text

On a Method for Calculating Bending and Shear Vibrations of a Porous Piezoelement in the Low-Frequency Region by A. N. Soloviev, V. A. Chebanenko, P. A. Oganesyan, E. I. Fomenko

“…The comparison showed that the error in determining displacements and electric potential when using this approach, in the case of setting mechanical loads and potential differences, did not exceed 6%. …”
Get full text

Focus on reflective competence: A triangulation to examine youth soccer coaches' reflective competence by Max Danner, Mareike Ahns, Günter Amesberger

“…The breadth of reflection is consistent with the DFB's shift from coach-dominated to player-dominated training practices. Conclusion Our study highlights the critical role of reflection in the professional development of youth soccer coaches at DFB selection centers in Bavaria. …”
Get full text

Shared decision-making for pediatric acute otitis media in the United States: a randomized emergency department trial by Jana L. Anderson, Lucas Oliveira J. E. Silva, Erik P. Hess, Derek E. Vanmeter, Aidan Mullan, Juan P. Brito, Ian G. Hargraves, Fernanda Bellolio

“…UC 6a8%, odds ratio 1.32 (95% CI 0.59, 2.99), p = 0.50. Conclusion Shared decision-making with the Ear Pain Decision Aid (EPDA) improved parental knowledge and engagement without significantly increasing interaction time in the emergency department. …”
Get full text

Development and Psychometric Evaluation of an Instrument to Assess Physical Activity Participation Behavior Among Chinese Patients with Chronic Obstructive Pulmonary Disease by Liao Y, Wang H, Zhan Y, Liu Y, Wang W, Ke H, Lan F, Zhi Q, Li W, Yu J

“…The CFA confirmed that the four-dimensional model fit the data well: χ²/df = 1.891, standardized root mean residual (SRMR) = 0.0497, root mean square error of approximation (RMSEA) = 0.064, comparative fit index (CFI) = 0.927, Tucker-Lewis index (TLI) = 0.921.Conclusion: The Physical Activity Participation Behavior Scale for COPD patients demonstrated good reliability and validity and can be used to assess physical activity participation in individuals with COPD.Keywords: COPD, instrument, reliability, validity…”
Get full text

A novel method for soil organic carbon prediction using integrated ‘ground-air-space’ multimodal remote sensing data by Yilin Bao, Xiangtian Meng, Huanjun Liu, Mengyuan Xu, Mingchang Wang

“…This model improves coefficient of determination (R2) and ratio of performance to interquartile distance (RPIQ) by 0.09 and 0.28, respectively, and reduces root mean square error (RMSE) by 0.52 g kg−1 compared to Model (ii). …”
Get full text

The cerebellum is involved in implicit motor sequence learning by Mahyar Firouzi, Mahyar Firouzi, Mahyar Firouzi, Mahyar Firouzi, Kris Baetens, Kris Baetens, Catalina Duta, Catalina Duta, Chris Baeken, Chris Baeken, Chris Baeken, Frank Van Overwalle, Frank Van Overwalle, Eva Swinnen, Eva Swinnen, Eva Swinnen, Natacha Deroost, Natacha Deroost

“…Accuracy-based analyses revealed that anodal tDCS reduced the probability of correct responses occurring in random trials versus sequential trials by 1.17%, p = 0.009, whereas sham tDCS had no effect, p = 0.999.ConclusionOur finding of enhanced sequence-specific learning, but not general learning, suggests that the cerebellar network not only plays a role in error correction processes, but also serves a sequence-specific function within the integrated motor learning network that connects the basal ganglia and cerebellum.…”
Get full text

Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…The algorithms (RF and STR) with the smallest Mean Absolute Error (MAE) and the highest residual error (RMSE) and the highest correlation coefficient (RP2) were selected for further parameter optimization and evaluation. …”
Get full text

Factors affecting hematological parameters in Creole goats on the Southern Coast of Peru by Jhony Soca, Emmanuel Alexander Sessarego, Pamela Sarmiento, María José Cevallos-Cardenas, Juan Canchino-Gutierrez, Jose Teran, Jose Antonio Ruiz, Juancarlos Cruz-Luis, Danny Julio Cruz

“…Predictive equations were generated to estimate hematological values under specific management conditions. Conclusion: This study highlights the relevance of age, nutritional status, and body condition in modulating hematological values in Creole goats. …”
Get full text

Inter-assay variability in the measurement of urinary C-terminal cross-linked telopeptide of type II collagen following anterior cruciate ligament reconstruction by Lachlan M. Batty, Kate E. Webster, Natasha Vassileff, Jereme G. Spiers, Haydn J. Klemm, Brian Devitt, Timothy S. Whitehead, Andrew F. Hill, Julian A. Feller

“…When measured using the CloudClone® Assay, mean (standard error) u-CTX-II concentrations were 26.5 (2.5) ng/mmol Cr, 29.4 (3.8) ng/mmol Cr and 40.6 (6.9) ng/mmol Cr at the baseline, 6-month and 12-month timepoints respectively. …”
Get full text

Visual outcomes and spectacle independence of a non-diffractive wavefront-shaping intraocular lens in post-LASIK patients by Wei Fan, Wei Fan, Wei Fan, Wei Fan, Wei Fan, Wei Fan, Meiyi Zhu, Meiyi Zhu, Meiyi Zhu, Meiyi Zhu, Meiyi Zhu, Meiyi Zhu, Guangbin Zhang, Guangbin Zhang, Guangbin Zhang, Guangbin Zhang, Guangbin Zhang, Guangbin Zhang

“…Both groups reported high visual satisfaction, but the Post-LASIK group had fewer difficulties with near-distance tasks in the VF-14 questionnaire.ConclusionIn post-LASIK eyes, this wavefront-shaping EROF IOL was well-tolerated and provided an extended range of vision with significantly better UNVA, fewer difficulties in daily activities and higher spectacle independence for near vision compared to normal eyes.…”
Get full text

Association between weekend catch-up outdoor duration and prevalence of myopia: evidence from a cross-sectional, multi-center study in China by Lu Ye, Ying Wang, Ying Sun, Wu-jun Li, Guo-yun Zhang, Wen-jun Wang, Mei-xia Ren, Jun-cheng Gao, Guan-chen Liu, Yi-ming Guo, Juan Huang, Xin-xin Lu, Jie Min, Tuan-zheng Ran, Si-xuan Li, Zi-tong He, Qi-ya Jing, Pei-quan Wang, Liu-qing Qu, Yan-qi Yang, Pan Ge, Jian Zhang, Mo-qi Lv, Dang-xia Zhou

“…Spherical equivalent (SE) of refractive error were measured with non-cycloplegic refraction. …”
Get full text

Assessment of salt tolerance in peas using machine learning and multi-sensor data by Zehao Liu, Qiyan Jiang, Yishan Ji, Rong Liu, Hongquan Liu, Xiuxiu Ya, Zhenxing Liu, Zhirui Wang, Xiuliang Jin, Tao Yang

“…However, traditional screening methods are often time-consuming, labor-intensive, and prone to human error. Recent advancements in Unmanned aerial vehicle (UAV) and sensor technologies have enabled high-throughput screening of salt-tolerant crops, offering a more efficient alternative. …”
Get full text

Abdominal synthetic CT generation for MR-only radiotherapy using structure-conserving loss and transformer-based cycle-GAN by Chanwoong Lee, Chanwoong Lee, Young Hun Yoon, Young Hun Yoon, Young Hun Yoon, Jiwon Sung, Jun Won Kim, Yeona Cho, Jihun Kim, Jaehee Chun, Jin Sung Kim, Jin Sung Kim, Jin Sung Kim

“…Image quality was compared between sCT and planning CT, using metrics including mean absolute error (MAE), peak signal-to-noise ratio (PSNR), structure similarity index measure (SSIM) and Kullback-Leibler (KL) divergence. …”
Get full text

Deep learning-based triple-tracer brain PET scanning in a single session: A simulation study using clinical data by Yiyi Hu, Amirhossein Sanaat, Gregory Mathoux, Pirazzo Andrade Teixeira Eliluane, Valentina Garibotto, Habib Zaidi, for the Alzheimer’s Disease Neuroimaging Initiative

“…The calculated quantitative metrics showed that the mean error for synthetic amyloid images (FBB: 0.03 SUV, FBP: 0.00 SUV) was higher than FDG for FBB (0.02 SUV) but lower than FDG for FBP (-0.01 SUV), and comparable to FTP (FBB: 0.03 SUV, FBP: 0.00 SUV). …”
Get full text

Fatal HLH in patients with X-linked lymphoproliferative disease 1 due to a novel variant in SH2D1A: case report by Oksana Boyarchuk, Alla Volokha, Nataliia Yarema, Olga Dyvoniak, Tetyana Tomashivska, Ivanna Shymanska, Halyna Makukh, Jolan E. Walter, Jolan E. Walter

“…IntroductionX-linked lymphoproliferative disease type 1 (XLP1) is an inborn error of immunity (IEI) caused by pathogenic variants in the SH2D1A gene, leading to severe immune dysregulation, often triggered by Epstein-Barr virus (EBV) infection. …”
Get full text

Investigation of the «Structure – analgesic activity» Relationship Using Molecular Docking for Cyclooxygenases 1 and 2 in the Series 5-<i>N</i>-arylaminocarbonyl-6-(get)aryl-4-meth... by N. A. Buzmakova, K. V. Аndryukov, T. M. Zamaraeva, I. P. Rudakova, K. V. Podchezertseva, A. S. Goman, E. V. Avdeeva, N. V. Slepova, N. V. Dozmorova

“…. = 0,878) and a minimum forecast error (Spred. = 6,74).Conclusion. The "structure-activity" models for predicting analgesic activity in a series of 5-N-arylaminocarbonyl-6-(get)aryl-4-methyl-1,2,3,6-tetrahydropyrimidine-2-thions are obtained. …”
Get full text