Development and validation of scales measuring individual, nursing unit, hospital, and community factors related to fertility intentions of female Japanese hospital nurses by Kiyoko Abe, Mayumi Nitta, Kuniko Chiba, Sachiko Tsujita, Yukiko Takada, Miki Sasaki, Mamiko Furuya

“…Except for the child factor scale, the comparative fit index was > 0.950, and the root mean square error of approximation was < 0.070. Cronbach’s α ranged from 0.590 (community factor scale) to 0.807 (child factor scale). …”
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Development and Validation of a Depression Scale for Online Assessment: Cross-Sectional Observational Study by Minjeong Jeon, Hae-In Park, Yoorianna Son, Ji Won Hyun, Jin Young Park

“…ConclusionsThe DSO is a psychometrically sound and clinically relevant tool that captures both core and emerging expressions of depression. …”
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Multi-scale channel attention U-Net: a novel framework for automated gallbladder segmentation in medical imaging by Yiming Zhou, Xiaobo Wen, Xiaobo Wen, Kang Fu, Meina Li, Lin Sun, Xiao Hu

“…Our proposed MCAU-Net model was employed for gallbladder segmentation and its performance was evaluated using Dice Similarity Coefficient (DSC), Jaccard Similarity Coefficient (JSC), Positive Predictive Value (PPV), Sensitivity (SE), Hausdorff Distance (HD), Relative Volume Difference (RVD), and Volumetric Overlap Error (VOE) metrics.ResultsOn the test set, MCAU-Net achieved DSC, JSC, PPV, SE, HD, RVD, and VOE values of 0.85 ± 0.22, 0.79 ± 0.23, 0.92 ± 0.14, 0.84 ± 0.23, 2.75 ± 0.98, 0.18 ± 0.48, and 0.22 ± 0.42, respectively. …”
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Mapping expanded prostate cancer index composite to EQ5D utilities to inform economic evaluations in prostate cancer: Secondary analysis of NRG/RTOG 0415. by Rahul Khairnar, Stephanie L Pugh, Howard M Sandler, W Robert Lee, Ester Villalonga Olives, C Daniel Mullins, Francis B Palumbo, Deborah W Bruner, Fadia T Shaya, Soren M Bentzen, Amit B Shah, Shawn C Malone, Jeff M Michalski, Ian S Dayes, Samantha A Seaward, Michele Albert, Adam D Currey, Thomas M Pisansky, Yuhchyau Chen, Eric M Horwitz, Albert S DeNittis, Felix Y Feng, Mark V Mishra

“…Final models were selected based on root mean square error (RMSE).<h4>Results</h4>A total of 565 patients in the estimation sample had complete information on both EPIC and EQ5D questionnaires at baseline. …”
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Cervical proprioception, postural control, and pain: unraveling the interconnected challenges in rheumatoid arthritis by Batool Abdulelah Alkhamis, Basant Hamdy Elrefaey, Khalid A. Alahmari, Ghada Mohammed Koura, Fareed F. Alfaya, Ravi Shankar Reddy

“…Cervical proprioception was assessed using the Cervical Joint Position Error Test (CJPET), while postural control was evaluated via a stabilometric force platform measuring center-of-pressure length (L CoP), 95% confidence ellipse sway area (ESA 95%), and center-of-pressure velocity (V CoP). …”
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Aryana-bs: context-aware alignment of bisulfite-sequencing reads by Hassan Nikaein, Ali Sharifi-Zarchi, Afsoon Afzal, Saeedeh Ezzati, Farzane Rasti, Hamidreza Chitsaz, Govindarajan Kunde-Ramamoorthy

“…It outperforms existing methods, such as BSMAP, bwa-meth, Bismark, BSBolt, and abismal, particularly in robustness against genomic biases and alignment of longer, higher-error reads, demonstrating suitability for cancer research and cell-free DNA studies. …”
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Cervical cancer awareness and knowledge gaps among female high school teachers in Benghazi, Libya by Hussien Hamid, Nour E. Almansoury, Zobyda I. Elreshi, Mohamed H.S. Ahmida, Abdulla M. Elmansoury, Mohamed Najah

“…Based on a 95 % confidence interval and a 5 % margin of error, a minimum sample size of 350 participants was calculated using the Qualtrics.com sample size calculator. …”
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Emerging Healthcare Technologies in Gastrointestinal Endoscopy: 75 Years of Evolution by Irina Florina CHERCIU HARBIYELI, Elena Daniela BURTEA, Vlad IOVANESCU, Dan Nicolae FLORESCU, Ion ROGOVEANU, Dan Ionut GHEONEA, Adrian SAFTOIU

“…Machine learning algorithms assist in real-time polyp detection, classification, and predictive analytics, enhancing diagnostic accuracy while reducing inter-observer variability and human error. Machine learning is advancing rapidly, but clinical implementation faces challenges, such as algorithm validation, interpretability, and regulatory concerns. …”
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A note on prognostic accuracy evaluation of regression models applied to longitudinal autocorrelated binary data by Giulia Barbati, Alessio Farcomeni, Patrizio Pasqualetti, Gianfranco Sinagra, Massimo Bovenzi

“…No significant differences in calibration and MSE (Mean Square Error) emerged in the simulation study, that instead confirmed the MTM higher discrimination level. …”
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Psychometrics properties of the Team Interaction Scale and influencing factors of team interaction of tertiary hospital physicians in China: a cross-sectional study by Ning Ding, Deliang Wen, Wenwen Song, Honghe Li, Weiyue Zhao, Lin Shi

“…Fit of the modified model was confirmed by CFA with the other half of the samples (root mean square error of approximation=0.067, Comparative Fit Index=0.98, Normed Fit Index=0.97, Goodness of Fit Index=0.94, Adjusted Goodness of Fit Index=0.92). …”
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Metabarcoding with Illumina and Oxford Nanopore Technologies provides complementary insights into tree seed mycobiota by Jana Mittelstrass, Renate Heinzelmann, René Eschen, Martin Hartmann, Quirin Kupper, Salome Schneider, Simone Prospero, Iva Franić

“…Short-read metabarcoding might be optimal for fungal biodiversity studies due to higher sequencing depths and resultant breadth of diversity. As error rates are continuing to decrease, reference databases expand, and throughput improves, long-read metabarcoding is becoming a strong candidate for future diagnostic studies of fungi. …”
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A Method for Temporally Resolved Continuous Inline Measurement of Multiple Solute Concentrations With Microfluidic Spectroscopy by Andrea Lorenzo Henri Sergio Detry, Vinny Chandran Suja, Nathaniel Merriman Sims, Robert A. Peterfreund, David E. Arney

“…<italic>Conclusions:</italic> This system enables continuous, real-time monitoring of multiple solutes in dynamic flow conditions, offering a portable solution with high sensitivity to temporal concentration changes&#x2014;advancing beyond traditional static fluid measurement methods.…”
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Artificial Intelligence–Powered Training Database for Clinical Thinking: App Development Study by Heng Wang, Danni Zheng, Mengying Wang, Hong Ji, Jiangli Han, Yan Wang, Ning Shen, Jie Qiao

“…MethodsThe “XueYiKu” app was designed as a contactless, self-service, trial-and-error system application based on actual complete hospital medical records and natural language processing technology to comprehensively assess the “clinical competence” of residents at different stages. …”
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A method for high-accuracy localization of microseismic sources in mines based on finite element simulation by Dianyan NING, KaiPeng ZHU, Yongsheng ZHU, Shuxia YUAN, Zhenfang ZHOU

“…In planar homogeneous materials, compared to the probe sets arranged in double triangles, the probe sets arranged in a single square exhibited a decrease of 0.6% in the localization error, while probe sets arranged in double squares displayed an increase of 1.69% in the localization accuracy. …”
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Large Gradient Subsidence Monitoring in Mining Area Based on LuTan-1 SAR Images by X. Zhang, H. Zhao, X. Tang, T. Li, X. Zhou, X. Zhang

“…The monitoring results obtained by Sentinel-1 data in the same period presented obvious decoherence phenomenon, and only the subsidence basin margin deformation details was obtained. (3) Combined with the synchronous levelling measurements results of the mining area, the LuTan-1 time series deformation monitoring accuracy is better than 40mm, and the maximum relative error is better than 4%. For the large gradient deformation monitoring of mining area, the complete and reliable subsidence information can be obtained by using multi-temporal LuTan-1 SAR data, which provides effective technical support for the mining subsidence law research and the safety monitoring of mining area.…”
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Accelerometer-Measured Physical Activity and Neuroimaging-Driven Brain Age by Han Chen, Zhi Cao, Jing Zhang, Dun Li, Yaogang Wang, Chenjie Xu

“…Results: The brain age estimated by LightGBM achieved an appreciable performance (r = 0.81, mean absolute error [MAE] = 3.65), which was further improved by age bias correction (r = 0.90, MAE = 3.03). …”
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GrainNet: efficient detection and counting of wheat grains based on an improved YOLOv7 modeling by Xin Wang, Changchun Li, Chenyi Zhao, Yinghua Jiao, Hengmao Xiang, Xifang Wu, Huabin Chai

“…A comparative analysis with manual counting results revealed that the GrainNet model achieved the highest coefficient of determination and Mean Absolute Error values for wheat grain counting tasks, which were 0.93 and 5.97, respectively, with a counting accuracy of 94.47%. …”
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Study of biomarkers to determine severity and lung damages in COVID-19 patients by Alfian Nur Rosyid, Arina Dery Puspitasari, Wiwin Is Effendy, Herley Windo Setiawan, Arief Bakhtiar, Isnin Anang Marhana, Anggraini Dwi Sensusiati, Jusak Nugraha, Muhammad Amin

“…Conclusions: The severity was adequately measured through ACE2, IL-6, IL-10, neutrophils, lymphocytes, leukocytes, and NLR. …”
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Development and validation of an Arabic tool for assessment of post-vaccination confidence in COVID-19 vaccines (ARAB-VAX-CONF) by Rowan Abuyadek, Samar Abd ElHafeez, Mohamed Mostafa Tahoun, Sally Samir Othman, Abdelrahman Omran, Naglaa Fathy, Ramy Mohamed Ghazy

“…Confirmatory factor analysis confirmed the adequate psychometric properties and fit with observed data (root-mean-square error of approximation = 0.08, comparative fit index = 0.945, Tucker-Lewis index = 0.924, standardized root-mean-square residual = 0.086, normed fit index = 0.918, and goodness-of-fit index = 0.909). …”
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Effectiveness of the Better Operative Software Outcomes Tool for Monitoring Cataract Surgery Outcomes in Inhambane Province, Mozambique: Prospective Pilot Diagnostic Accuracy Study by Mónica Lecumberri, Dórcia Mandlate, Vasco Cote, Montserrat Martín-Baranera, Carlos L Moser

“…The main cause of a poor outcome was surgical complication, while refractive error was the main cause of a moderate outcome. …”
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