Handheld motorized injection system with fiber-optic distance sensors and adaptive time-delay controller by Jintaek Im, Sukho Park, Cheol Song

“…The conventional method exhibited a cosine error of approximately 77 μm at an angle of 45°, whereas our proposed needle reduced measurement errors to ∼6 μm. …”
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Medium- and Long-term Forecast of Inflow of Dahuofang Reservoir Based on CEEMDAN-LSTM Model by WANG Chunyu, ZHANG Jing, YANG Xu, YAN Bin

“…The indicators of determination coefficient, root mean square error and average relative error were applied to evaluate the forecast results. …”
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基于CEEMDAN-LSTM模型的大伙房水库入库流量中长期预报 by WANG Chunyu, ZHANG Jing, YANG Xu, YAN Bin

“…The indexes of determination coefficient, root mean square error and average relative error were used to evaluate the forecast results. …”
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Fully-automated segmentation of muscle and inter-/intra-muscular fat from magnetic resonance images of calves and thighs: an open-source workflow in Python by Kenneth Tam, Si Wen Liu, Sarah Costa, Eva Szabo, Shannon Reitsma, Hana Gillick, Jonathan D. Adachi, Andy Kin On Wong

“…Fully-automated ITSA achieved this, demonstrated low short- and long-term precision error, conducive of use within RCTs.…”
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Exome-wide genetic risk score (ExGRS) to predict high myopia across multi-ancestry populations by Jian Yuan, Ruowen Qiu, Yuhan Wang, Zhen Ji Chen, Haojun Sun, Wei Dai, Yinghao Yao, Ran Zhuo, Kai Li, Shilai Xing, Myopia Associated Genetics and Intervention Consortium, Xiaoguang Yu, Liya Qiao, Jia Qu, Jianzhong Su

“…Abstract Background High myopia (HM), characterized by a severe myopic refractive error, stands as a leading cause of visual impairment and blindness globally. …”
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Acute effect of upper body vibration on shoulder joint internal and external active position sense in healthy female university students by Mariam Ameer, Ammar Al Abbad

“…Moreover, the statistically significant difference was detected in the average error scores of shoulders external rotation in post-treatment intervention between both groups (p= .000). …”
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Comparison of Deep Learning and Gradient Boosting: ANN Versus XGBoost for Climate‐Based Dengue Prediction in Bangladesh by Arman Hossain Chowdhury

“…XGBoost outperformed other models, achieving the lowest root mean square error (918.83) and mean absolute error (479.44). …”
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NONCONVENTIONAL RADIOLOGICAL TECHNOLOGIES AND PROCESSES USED FOR NEUROSURGERY IN CORRELATION WITH INTELLECTUAL PROPERTY PROTECTION WITH DIRECT APPLICATION IN HEALTHCARE ORGANIZATIO... by Dan Theodor Andronic, Oana Roxana Chivu, Augustin Semenescu, Dragos Florin Marcu, Mihail Aurel Titu

“…Using this nonconventional system, human errors can be reduced and communication between specialists can be improved. …”
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Estimation of minimum foot clearance using a single foot-mounted inertial sensor and personalized foot geometry scan by Katherine Heidi Fehr, Jennifer Nicole Bartloff, Yisen Wang, Scott Hetzel, Peter G. Adamczyk

“…The method is demonstrated in an example data set comparing different interventions for foot drop, and it shows clear differences among no intervention, functional electrical stimulation, and ankle–foot orthosis conditions. …”
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Inclusion of unexposed clusters improves the precision of fixed effects analysis of stepped-wedge cluster randomized trials with binary and count outcomes by Kenneth Menglin Lee, Grace Meijuan Yang, Yin Bun Cheung

“…Results The simulations show that including unexposed clusters leads to tangible improvements in the precision, power, and root mean square error of the intervention effect estimator. The inclusion of the unexposed cluster in the SW-CRT of a novel palliative care intervention with binary outcomes yielded smaller standard errors and narrower 95% Wald Confidence Intervals. …”
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Community participation in community-based surveillance of infectious diseases: A structural equation modeling approach based on the theory of reasoned action by Ahmed Azeez Hasan, Anis Kausar Ghazali, Norsa’adah Bachok, Najib Majdi Yacoob, Suhaily Mohd Hairon, Nur Amira M. Nadir, Fatimah Muhd Shukri

“…Model fit was assessed using comparative fit index (CFI), Tucker-Lewis index (TLI), root mean square error of approximation (RMSEA), and standardized root mean square residual (SRMR) indices. …”
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Development and validation of COVID-19 vaccination perception (CoVaP) instrument among healthcare workers in Malaysia by Siti Nur Aisyah Zaid, Azidah Abdul Kadir, Mohd Noor Norhayati, Basaruddin Ahmad, Muhamad Saiful Bahri Yusoff, Anis Safura Ramli, Jasy Suet Yan Liew

“…Understanding these factors is essential for designing effective public health interventions to address vaccine hesitancy and improve vaccination rates.…”
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Lessons in complexity learned during a Canadian virtual pragmatic trial for prostate cancer survivorship by Kaylen J. Pfisterer, Karen Young, Raima Lohani, Ting Xiong, Tiffane Anandarajan, Denise Ng, Tina Jiao, Caitlin Nunn, Denise Bryant-Lukosius, Ricardo Rendon, Robert J. Hamilton, Jacqueline Bender, Ian Brown, Andrew Feifer, Geoffrey Gotto, Joseph A. Cafazzo, Quynh Pham

“…Solutions and changes made that carried into the trial included agile development, shifting responsibilities (e.g. tech support, clinic-personalized recruitment strategies), increasing in-person socialization of Ned Clinics after COVID-19 lockdowns, and enhanced documentation.Discussion: Implementing new and complex interventions in a complex adaptive system requires an element of trial and error to find what works best. …”
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Reliability and validity study of the “5Cs” hesitancy scale for maternal influenza vaccination among pregnant and postpartum women by Fanyu Zeng, Bingcheng Du, Hong Jiang, Min Zheng, Xiu Qiu, Fen Li, Nianhua Yi, Yinglan Wu, Yuanying Ma, Changhui Li, Chunyi Gu, Lei Wang, Fengyun Yang, Longmei Jin, Yanran Yang, Xu Qian

“…Construct validity was assessed using confirmatory factor analysis (CFA), with good model fit defined as root mean square error of approximation (RMSEA) < 0.100, normed fit index (NFI) > 0.9, comparative fit index (CFI) > 0.9, and Tucker-Lewis index (TLI) > 0.9. …”
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Development and validation of an Arabic questionnaire to assess the knowledge of neonatal danger signs (AQ-KNDS) and its possible determinants among Arab population by Esraa Abdellatif Hammouda, Suzan Abdel-Rahman, Marwa Abdelwahab Hassan, Marwa Abdelkarim, Engy Saad Abdelmoneim Elkaragy, Ayed A. Shati, Ramy Mohamed Ghazy

“…Additionally, item fit indices including Pearson’s χ2 and Root Mean Square Error of Approximation (RMSEA) were measured to determine how well each item fits the final model. …”
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A Digital Tool for Assessing Well-Being at the Workplace and in Personal Life: Development and Validation of the Quan Well-Being Index by Georgia A Floridou, Freya Katre, Emile Jeuken

“…A hierarchical model (model 1) where the general factor influenced the 4 group factors demonstrated the best fit (χ2521=3467.00; Bentler comparative fit index=0.906; Tucker-Lewis index=0.892; root mean square error of approximation=0.077; standardized root mean square residual=0.048; ΔAkaike information criterion=0.0; ΔBayesian information criterion=0.0). …”
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Mental fatigue of operating room nurses and its relationship with missed perioperative nursing care: a descriptive-analytical study by Vahid Rahmani, Valerie L. Marsh, Ebrahim Aliafsari Mamaghani, Ali Soleimani, Maedeh Alizadeh, Omid Zadi, Nasrin Aghazadeh

“…Abstract Introduction Mental fatigue is a psychological condition characterised by diminished alertness, impaired cognitive functioning, heightened error rates, and overall decreased performance. missed perioperative nursing care diminishes patient safety and increases the likelihood of adverse incidents. …”
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Evaluation of Non-Invasive Hemoglobin Monitoring in Perioperative Patients: A Retrospective Study of the Rad-67^TM (Masimo) by Philipp Helmer, Andreas Steinisch, Sebastian Hottenrott, Tobias Schlesinger, Michael Sammeth, Patrick Meybohm, Peter Kranke

“…Accurate Hb monitoring allows for timely interventions to address perioperative anemia and, thus, prevent morbidity and mortality. …”
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Optimizing Thyroid Nodule Management With Artificial Intelligence: Multicenter Retrospective Study on Reducing Unnecessary Fine Needle Aspirations by Jia-Hui Ni, Yun-Yun Liu, Chao Chen, Yi-Lei Shi, Xing Zhao, Xiao-Long Li, Bei-Bei Ye, Jing-Liang Hu, Li-Chao Mou, Li-Ping Sun, Hui-Jun Fu, Xiao-Xiang Zhu, Yi-Feng Zhang, Lehang Guo, Hui-Xiong Xu

“… Abstract BackgroundMost artificial intelligence (AI) models for thyroid nodules are designed to screen for malignancy to guide further interventions; however, these models have not yet been fully implemented in clinical practice. …”
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Psychometric validation of the Physician Well-Being Index-Expanded (ePWBI) among physician educators in Hong Kong by Linda Chan, Paul Po Ling Chan, Xiaoai Shen, Emma Victoria Marianne Bilney, Tai Pong Lam, Julie Yun Chen, George L. Tipoe, Fraide A. Ganotice

“…CFA results indicated good data fit to the a priori model: Comparative Fit Index=0.99, Tucker–Lewis Index=0.99, Standardized Root Mean Square Residual=0.05, and Root Mean Square Error of Approximation=0.02 [90% CI 0.00–0.05]. Most factor loadings ranged from 0.36 to 0.69 and were statistically significant (p<0.05). …”
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