The Coach’s Eye: A Randomized Repeated-Measure Observational Study Assessing Coaches’ Perception of Velocity Loss During Resistance Training Exercises by Antonio Dello Iacono, Scott Henry, Asaf Ben-Ari, Israel Halperin, Laura Carey

“…In contrast, point of view and mental fatigue had a negligible effect. Conclusions While coaches detect velocity loss with some degree of accuracy, their error rates vary depending on the threshold, load, and gaze strategy. …”
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Comparison of neutron transport calculation methods based on C5G7-MOX and preliminary analysis of sensitivity of MOC parameters by GONG Hanyuan, ZHANG Binhang, ZHANG Yonghong, TANG Haibo, YUAN Xianbao

“…The calculation time and the memory cost of this set of parameters are 45.4 min and 264.7 MB, respectively, with the relative error of 5.9×10-5 and the normalized RMS error of 0.002 55.ConclusionsThe results of this study indicate that the MOC is superior to the CP and IC methods in accuracy, efficiency, and memory cost, and the grid division of MOC has the greatest influence on the calculation memory cost and calculation time whereas the choice of polar angle has the greatest influence on the calculation accuracy. …”
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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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Development of posterior staphyloma in a child with retinitis pigmentosa and high myopia detected by Ultra-widefield Optical Coherence Tomography: A 4-year follow-up by Changyu Chen, Kyoko Ohno-Matsui

“…During follow-up, staphyloma deepening was accompanied by axial elongation and increased myopic refractive error. Conclusions and Importance: This case highlights the onset and progression of posterior staphyloma in patients with RP, demonstrating that staphyloma related to RP occurs even in childhood.…”
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Mapping the EORTC QLQ-C30 and QLQ-LC13 to the SF-6D utility index in patients with lung cancer using machine learning and traditional regression methods by Longlin Jiang, Kexun Li, Simiao Lu, Zhou Hong, Yifang Wang, Qin Xie, Qin He, Sirui Wei, Aoru Zhou, Hong Kang, Xuefeng Leng, Qing Yang, Yan Miao

“…The performance metrics used to evaluate the models including R 2 , root mean square error (RMSE),mean absolute error (MAE) and mean absolute percentage error (MAPE) were used to screen the optimal model. …”
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Establishing a generalized model for accurate prediction of higher heating values of substances with large ash fractions by Peng Jiang, Lin Li, Han Lin, Tuo Ji, Liwen Mu, Yuanhui Ji, Xiaohua Lu, Jiahua Zhu

“…Furthermore, the accuracy was compared to previous literature in terms of correlation coefficient (R2), root mean square error (RMSE), and mean absolute error (MAE). Results revealed that this model provided attractive accuracy with R2 = 0.854, RMSE = 0.900, and MAE = 0.773 within a wide range of ash content from 0 to 83.32 wt%. …”
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Association Between Shift Working and Brain Morphometric Changes in Workers: A Voxel-wise ComparisonKey Messages by Joon Yul Choi, Sungmin Kim, Yongho Lee, Dohyeon Kim, Wanhyung Lee

“…Conversely, the inferior parietal gyrus was found to be significantly larger in shift workers than in non-shift workers with family-wise error correction. Conclusions: We observed increased clusters in the brains of both shift and non-shift workers, suggesting that the acquired occupational environment, including the shift work schedule, could influence brain neuroplasticity, which is an important consideration for occupational health.…”
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Cycloplegia Improves the Inter-Optometrist Repeatability of Subjective Refraction by Carlos Carpena-Torres, Maria Rodríguez-Lafora, Cristina Pastrana, Ana Privado-Aroco, María Serramito, Laura Batres, Gonzalo Carracedo

“…However, the use of cycloplegia improved the inter-optometrist repeatability of M (<i>r</i> = 0.37 D) compared to the non-cycloplegic measurements (<i>r</i> = 0.62 D). Conclusions: These results suggest that accommodation in young hyperopes is likely a primary source of error that could explain the discrepancies in subjective refraction between optometrists.…”
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Prediction of Metabolic Parameters of Diabetic Patients Depending on Body Weight Variation Using Machine Learning Techniques by Oana Vîrgolici, Daniela Lixandru, Andrada Mihai, Diana Simona Ștefan, Cristian Guja, Horia Vîrgolici, Bogdana Virgolici

“…Model performance was evaluated using Mean Squared Error, Mean Absolute Error, and R² score. …”
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Erratum: Insufficiency/deficiency of vitamin B12 in patients in the endocrinological practice (Diabetes mellitus. 2024;27(3). doi: 10.14341/DM13181) by N. G. Mokrysheva, M. V. Shestakova, A. S. Ametov, M. B. Antsiferov, I. G. Bakulin, T. V. Vavilova, G. R. Galstyan, T. Y. Demidova, F. K. Dzgoeva, T. L. Karonova, E. А. Lukina, A. M. Mkrtumyan, N. А. Petunina, R. V. Ponomaryov, N. A. Suponeva, O. Y. Sukhareva, M. S. Shamkhalova

“…The correct link is: https://orcid.org/0000-0002-0533-7652.The editorial board apologize for this error and state that this does not change the scientific conclusions of the article in any way.The original article has been updated.…”
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Reading with Methodological Perspective Bias: by Richard Deady

“…For the purpose of this paper the concept of bias is defined as “a source of systematic error … deriving from a conscious or unconscious tendency on the part of a researcher to produce data, and/or to interpret them, in a way that leans towards erroneous conclusions which are in line with his or her commitments” (Hammersley and Gomm, 1997, p.1). …”
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Better statistical reporting does not lead to statistical rigour: lessons from two decades of pseudoreplication in mouse-model studies of neurological disorders by Constantinos Eleftheriou, Sarah Giachetti, Raven Hickson, Laura Kamnioti-Dumont, Robert Templaar, Alina Aaltonen, Eleni Tsoukala, Nawon Kim, Lysandra Fryer-Petridis, Chloe Henley, Ceren Erdem, Emma Wilson, Beatriz Maio, Jingjing Ye, Jessica C. Pierce, Kath Mazur, Lucia Landa-Navarro, Nina G. Petrović, Sarah Bendova, Hanan Woods, Manuela Rizzi, Vanesa Salazar-Sanchez, Natasha Anstey, Antonios Asiminas, Shinjini Basu, Sam A. Booker, Anjanette Harris, Sam Heyes, Adam Jackson, Alex Crocker-Buque, Aoife C. McMahon, Sally M. Till, Lasani S. Wijetunge, David JA Wyllie, Catherine M. Abbott, Timothy O’Leary, Peter C. Kind

“…We did not consider reviews or articles whose experimental design could not allow for pseudoreplication, for example studies which reported only behavioural results, or studies which did not use inferential statistics. Conclusions These observations identify an urgent need for better standards in experimental design and increased vigilance for this type of error during peer review. …”
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Cochlear and Bone Conduction Implants in Asymmetric Hearing Loss and Single-Sided Deafness: Effects on Localization, Speech in Noise, and Quality of Life by Oana Astefanei, Cristian Martu, Sebastian Cozma, Luminita Radulescu

“…Results: In adult CI users, localization error significantly decreased from 81.9° ± 15.8° to 43.7° ± 13.5° (<i>p</i> < 0.001). …”
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A new method for dealing with collider bias in the PWP model for recurrent events in randomized controlled trials by Chen Shi, Jia-Wei Wei, Zi-Shu Zhan, Xiao-Han Xu, Ze-Lin Yan, Chun-Quan Ou

“…Conclusions Recurrent event data should be analyzed with caution. …”
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Accuracy of a novel calibratable real-time continuous glucose monitoring device based on FreeStyle libre in- and out-of-hospital by Zhenghao Wu, Zhenghao Wu, Zhaoxiang Liu, Wenhui Zhao, Shaocheng Wang, Liangbiao Gu, Jianzhong Xiao

“…The MARD values for the FreeStyle Libre, uncalibrated QT AIR, and calibrated QT AIR groups were 18.33%, 20.63%, and 12.39%, respectively. Consensus Error Grid, reference values in Zone A: FreeStyle Libre: 69.75%, QT AIR uncalibrated: 67.80%, QT AIR calibrated: 87.62%. …”
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Remote Photoplethysmography Technology for Blood Pressure and Hemoglobin Level Assessment in the Preoperative Assessment Setting: Algorithm Development Study by Selene Y L Tan, Jia Xin Chai, Minwoo Choi, Umair Javaid, Brenda Pei Yi Tan, Belinda Si Ying Chow, Hairil Rizal Abdullah

“…Systolic BP predictions yielded a mean absolute percentage error of 9.52% and a mean difference of 2.69 mm Hg (SD 7.86 mm Hg). …”
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Population pharmacokinetic study of colistin for dose optimization in patients with acute on chronic liver failure (ACLF) patients by Dr Ritika Bhandari, Prof. Nusrat Shafiq, Dr. Naveen Murali, Dr. Soumya Vij, Dr. Nipun Verma, Dr. Avaneesh Kumar Pandey, Prof. Vikram Prakash Gota, Dr. M Surulivel Rajan, Prof. Ajay Kumar Duseja, Prof. Samir Malhotra

“…The final model-fitted parameter estimates were: Clearance (Cl) = 1.84 ml/min; Volume of distribution (V) = 41.15 ml with a proportional error of 50% and an additive error of 0.59 mcg/ml. …”
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Functional Monitoring of Patients With Knee Osteoarthritis Based on Multidimensional Wearable Plantar Pressure Features: Cross-Sectional Study by Junan Xie, Shilin Li, Zhen Song, Lin Shu, Qing Zeng, Guozhi Huang, Yihuan Lin

“…Furthermore, model stacking and average ensemble learning methods were adopted to further improve the generalization performance of the model. Mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean squared error (RMSE) were used as regression performance metrics to evaluate the results of different models. …”
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Development of neutron diffusion and transport algorithms based on finite volume method by LI Wei, LIU Xiaojing, CHAI Xiang, ZHAO Pengcheng

“…., two-dimensional International Atomic Energy Agency (IAEA), three-dimensional IAEA, and three-dimensional LMW, to validate the effectiveness of the developed program, and neutron transport was verified using various benchmark cases including IAEA, TAKEDA, and C5G7.ResultsThe verification results for the two-dimensional IAEA benchmark show excellent agreement, with a maximum error of 1.1% in normalized power. The three-dimensional IAEA benchmark results align closely with reference values, showing a maximum error of 3.4%. …”
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Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study by Xin Xiong, Linghui Xiang, Litao Chang, Irene XY Wu, Shuzhen Deng

“…Among the 4 models, model IBE exhibited the best performance, achieving the coefficient of determination of 0.72, with mean absolute error, mean absolute percentage error, and root-mean-square error values of 0.33, 15.9%, and 0.43, respectively, in the test set. …”
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