Referenceless 4D flow cardiovascular magnetic resonance with deep learning by Chiara Trenti, Erik Ylipää, Tino Ebbers, Carl-Johan Carlhäll, Jan Engvall, Petter Dyverfeldt

“…Comprehensively, the largest error for flow volumes, maximum and mean velocities was −6.031% for maximum velocities in the right ventricle for the U-NetADV, and −6.92% for mean velocities in the right ventricle for U-NetVEL. …”
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Empowering orthopedic nurses’ and nurse’s aides through a multimodal geriatric mobile team: a mixed methods study by Bastien Genet, Judith Cohen-Bittan, Rebecca Bonnetain, Alicia Amal, Luca Royer, Marie-Eva Rollet, Pauline Glasman, Angélique Bergeot, Michaël Nicolas, Jean-Sébastien Cadwallader, Jacques Boddaert, Lorène Zerah

“…Training included “aging simulation” workshops, error-awareness exercises (“room of errors” workshops), and courses on hospital-associated disability. …”
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A FastSurfer Database for Age‐Specific Brain Volumes in Healthy Children: A Tool for Quantifying Localized and Global Brain Volume Alterations in Pediatric Patients by Ibrahim Zughayyar, Martin Bauer, Christopher Güttler, Ana Luisa de Almeida Marcelino, Fabienne Kühne, Claudia Buss, Christine Heim, Annette Aigner, Anna Tietze, Andrea Dell'Orco

“…ABSTRACT Purpose MRI‐based whole‐brain manual segmentation methods are considered the gold standard for brain volumetric analysis, but are time‐consuming and prone to human error. Automated segmentation tools like FreeSurfer can identify differences in brain volumes between healthy and non‐healthy individuals. …”
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Model of an acoustic source with discontinuous optimal elements by A. BRAŃSKI

“…It has been proved that the new model is of better quality than other ones applied in the BEM up to now. To confirm this conclusion, the error of the new model and their acoustic fields have been compared with those of different other models. …”
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BUSINESS PLANNING STARTUPS IN CONTEXT, ATTRACTING VENTURE CAPITAL INVESTMENT by V. A. Vernikov

“…As the experience of western businessmen, errors that may have occurred during the development of a business plan: the unreliability and incompleteness of the input information; ignoring the need to prepare an analysis of the market or use in its preparation unreliable sources; errors in the calculations carried out, their incompleteness; errors in the text part of the business plan, as well as non-compliance with the logic of the material, its scarcity, unprofessional calculations; lack of risk analysis. …”
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Replacing normalizations with interval assumptions enhances differential expression and differential abundance analyses by Kyle C. McGovern, Justin D. Silverman

“…., microbial load or total cellular transcription). Even slight errors in these assumptions introduce bias, leading to elevated false positive and negative rates. …”
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Implementation and spread of a simple and effective way to improve the accuracy of medicines reconciliation on discharge: a hospital-based quality improvement project and success s... by John Dunn, Shady Botros

“…The main errors included failure to recommence withheld medicines and lack of documentation explaining changes made to medications on discharge. …”
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Time Series Modelling of the Caspian Kutum (Rutilus frisii) Catch Using SARIMA Model by Fateh Moezzi, Hadi Poorbagher, Soheil Eagderi, Jahangir Feghhi

“…The performance and predictive ability of the models were assessed using aset of indices, including Akaike’s information criteria (AIC), Bayesian information criterion(BIC), root mean squared error (RMSE), normalized root mean squared error (nRMSE), meanabsolute error (MAE), normalized mean absolute error (nMAE) and the Pearson correlationcoefficient (r). …”
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Network meta-analysis of intraocular lens power calculation formulas based on artificial intelligence in short eyes by Xin Zheng, Meng Li, Zhao-Xing Guo, Zhi-Yong Tian, Jing-Shang Zhang, Ying-Yan Mao, Peng Zhao, Zhong-Yan Li, Xiu-Hua Wan

“…The extracted data comprised the mean absolute error (MAE) and the percentage of eyes with refractive prediction errors (PE) within ± 0.50 and ± 1.00 diopters (D). …”
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Accurate patient alignment without unnecessary imaging using patient-specific 3D CT images synthesized from 2D kV images by Yuzhen Ding, Jason M. Holmes, Hongying Feng, Baoxin Li, Lisa A. McGee, Jean-Claude M. Rwigema, Sujay A. Vora, William W. Wong, Daniel J. Ma, Robert L. Foote, Samir H. Patel, Wei Liu

“…Results We demonstrate the feasibility of the proposed approach on 10 patients with head and neck (H&N) cancer using image quality (MAE: < 45HU), dosimetric accuracy (Gamma passing rate ((2%/2 mm/10%): > 97%) and patient position uncertainty (shift error: < 0.4 mm). Conclusions The proposed framework can generate accurate 3D CT faithfully mirroring patient position effectively, thus substantially improving patient setup accuracy, keeping imaging dose minimal, and maintaining treatment veracity.…”
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Diagnosis of a Severe Dust Storm Event over Iraq by Sama K. Al-Dabbagh

“…The model overestimates temperature and wind direction, while underestimating humidity and wind speed. Errors are low for most variables but notably higher for wind direction. …”
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To the analysis of methods and mechanisms of predictive modeling of onboard equipment reliability when solving problems of aircraft maintenance workload planning by B. I. Ogunvoul, V. D. Budaev, D. O. Sizikov, N. V. Gorbakon, A. V. Vlasova

“…At the first stage, the data were freed from outliers and errors, then normalized to unify the scale of different variables. …”
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Determining water status of walnut orchards using the crop water stress index and canopy temperature measurements by Lian Mao, Sen Lu, Linqi Liu, Zhipeng Li, Baoqing Wang, Dong Pei, Yongchao Bai

“…However, due to the calculation errors of the aerodynamic resistance in walnut trees, the CWSIt was unable to track the diurnal variations in the water status in walnut orchards and the degree of water stress was underestimated. …”
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Equation Built by Multiple Adaptive Regression Spline to Estimate Biological Age in Healthy Postmenopausal Women in Taiwan by Chun-Feng Chang, Ta-Wei Chu, Chi-Hao Liu, Sheng-Tang Wu, Chung-Chi Yang

“…The method with the smaller degree of estimation error was considered to be more accurate. The lower prediction errors yielded by MARS compared to the MLR method suggest that MARS performs better than MLR. …”
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Intra and inter-session reliability of rapid Transcranial Magnetic Stimulation stimulus-response curves of tibialis anterior muscle in healthy older adults. by Elisabetta Peri, Emilia Ambrosini, Vera Maria Colombo, Mark van de Ruit, Michael J Grey, Marco Monticone, Giorgio Ferriero, Alessandra Pedrocchi, Giancarlo Ferrigno, Simona Ferrante

“…Inter-sessions ICC were >0.6 for all measures but slope at rest and MEPmax and latency at 5%MVC.<h4>Conclusions</h4>Measures derived from SR curves acquired in <4 minutes are affected by similar measurement errors to those found with long-lasting protocols, suggesting that the rapid method is at least as reliable as the traditional methods. …”
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Study on Photovoltaic Plant Site Selection Models Based on Geographic and Environmental Features by RAO Zhi, YANG Zaimin, YANG Xiongping, LI Jiaming, YANG Ping, WEI Zhichu

“…Compared with the second-best performing informer model， the proposed model achieved reductions of 24.0%， 23.1%， and 28.5% in the mean absolute error， mean absolute percentage error， and root mean square error， respectively. …”
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Relationship Between Body Mass Index and Fat Mass Percentage with Proprioception in Children by Eduardo Guzmán-Muñoz, Yeny Concha-Cisternas, Guillermo Méndez-Rebolledo, Manuel Vásquez-Muñoz, Pablo Valdés-Badilla, Tomás Herrera-Valenzuela, Cristian Núñez-Espinosa, Jordan Hernández-Martínez

“…Regression analysis showed that BMI and body fat percentage significantly predicted positional errors in the shoulder, elbow, and knee. In the shoulder joint, girls demonstrated lower positional errors compared to boys, influenced by both BMI (β = −1.36, <i>p</i> = 0.015) and body fat percentage (β = −3.00, <i>p</i> < 0.001). …”
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Investigator’s influence on the muscle strength assessment in animals in experiment: Comparison of automated “inverted grid” test and its classical variant by P. R. Lebedev, E. V. Kuzubova, V. M. Pokrovsky, A. I. Radchenko, S. I. Osipyan, Yu. V. Stepenko, A. A. Apostol, L. M. Danilenko, A. A. Dolzhikov, T. G. Pokrovskaya, O. S. Gudyrev, Ya. S. Kochergina, O. V. Dudnikova

“…It was shown that the standard error of the mean in the classical variant of the test in Tau P301S+/+ mice was 6.24; 5.94; 5.88; 7.38 at 4 age points; in FUS(1-359)+/- mice, 4.49; 6.8; 6.98 and 4.1; B6.ADysfprmd/GeneJ mice, 7.66; 7.58; 8.3 and 7.92, respectively.Conclusion. …”
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Design of upper limb muscle strength assessment system based on surface electromyography signals and joint motion by Siqi Wang, Wei Lai, Yipeng Zhang, Junyu Yao, Xingyue Gou, Hui Ye, Jun Yi, Dong Cao

“…Model performance was evaluated using Root Mean Squared Error (RMSE), R-Square (R2), Mean Absolute Error (MAE), and Mean Bias Error (MBE), to identify the most accurate regression prediction algorithm.ResultsThe system effectively collected and analyzed the sEMG from the deltoid muscles and shoulder joint motion data. …”
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The trunk segmental motion complexity and balance performance in challenging seated perturbation among individuals with spinal cord injury by Mianjia Shan, Chenhao Li, Jiayi Sun, Haixia Xie, Yan Qi, Wenxin Niu, Ming Zhang

“…Backward perturbations, as opposed to forward perturbations, resulted in reduced complexity in the aforementioned segments and increased steady-state error. Lower lumbar rotation complexity negatively correlated with MD variability (β = -0.240) and steady-state error (β = -0.485) in individuals with SCI, while showing a minor positive correlation with settling time (β = 0.152) during backward perturbation. …”
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