Investigating the accuracy of Apple Watch VO2 max measurements: A validation study. by Rory Lambe, Ben O'Grady, Maximus Baldwin, Cailbhe Doherty

“…The agreement between measurements from Apple Watch and indirect calorimetry was assessed using Bland-Altman analysis, mean absolute percentage error (MAPE), and mean absolute error (MAE). Overall, Apple Watch underestimated VO2 max, with a mean difference of 6.07 mL/kg/min (95% CI 3.77-8.38). …”
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Controlling the energies of the single-rotor large wind turbine system using a new controller by Habib Benbouhenni, Nicu Bizon, Ilhami Colak, Z. M. S. Elbarbary, Saad F. Al-Gahtani

“…The proposed controller is designed using proportional, integral, and derivative error-based mechanisms, which fundamentally differ from traditional proportional-integral (PI) regulators. …”
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Analysis of Common Causes of Out-of-Specification Results in the Test for Depressor Substances by TONG Xiyang, QUE Changtian, ZHANG Feng, ZHAO Lu, WANG Hongping

“…If an out-of-specification (OOS) result occurs in the test for depressor substances, it may be caused by inherent quality issues of the drug or errors in the testing process. Therefore, analyzing the causes of OOS is particularly important for confirming the test results and evaluating drug quality. …”
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A hybrid deep learning framework for global irradiance prediction using fuzzy C-Means, CNN-WNN, and Informer models by Walid Mchara, Lazhar Manai, Mohamed Abdellatif Khalfa, Monia Raissi, Wissem Dimassi, Salah Hannachi

“…The proposed CNN-WNN-Informer model achieved average reductions across all cities of 67.7% in t-statistic, 73.9% in Mean Absolute Percentage Error (MAPE), 82.5% in Mean Absolute Bias Error (MABE), and 59.0% in Root Mean Square Error (RMSE), underscoring its significant improvements. …”
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Designing the organizational schizophrenia phenomenon formation pattern with the TISM phase method by Ali Shariatnejad, Zeinab Safari Ahmadvand, Seyedeh Maryam Mousavi

“…Finally, the findings of the qualitative section showed that the organization’s misalignment with changes, along with a lack of coordination between strategies and goals, errors and mistakes in decisions, goal setting and vision, reduction of productivity and efficiency are among the consequences that appear as a result of the phenomenon of organizational schizophrenia. …”
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The Effects of the Clinical Simulation of Transfusion Reactions on Nursing Students’ Knowledge Gain: A Pragmatic Clinical Trial by Ana Beatriz Frota Lima Rodrigues, Samia Valéria Ozorio Dutra, Maria Ivaneide Teixeira dos Santos, Lucas Ribeiro Araujo, Annie Leticia de Holanda Ferreira, Arthur Feitosa Jacinto, Brenda Sousa da Conceição, Gleiciane Kélen Lima, Igor Cordeiro Mendes, Elaine Cristina Negri, Maria Neyrian de Fátima Fernandes, Luciana Mara Monti Fonseca, Francisco Mayron Morais Soares

“…In terms of overall scores, the intervention group went from an average of 8.10 to 9.67 (<i>p</i> = 0.001), while the control group went from 8.13 to 8.66 (<i>p</i> = 0.053). The reduction in errors was significant in topics such as hand hygiene (from 56.7% to 23.3%) and the maximum exposure time of the blood component at room temperature (from 66.7% to 20%). …”
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A A Fingerprint-Based Attendance System for Improved Efficiency by Olayiwola Charles Adesoba, Israel Mojolaoluwa Joseph

“…Results show significant reductions in attendance management time (by 75%) and errors (by 90%), alongside increased student accountability. …”
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Impact of social protection on child malnutrition and mortality across 46 LMICs: a longitudinal study over two decades with insights from the COVID-19 pandemicResearch in context by Elisa Landin Basterra, Ugo Gentilini, Daniella Medeiros Cavalcanti, Andrea Ferreira da Silva, Lucas de Oliveira Ferreira de Sales, Natanael J. Silva, Davide Rasella

“…We used fixed-effects Poisson models with robust standard errors to estimate associations, adjusting for socioeconomic, healthcare, and gender-related variables. …”
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A Vision-Based End-to-End Reinforcement Learning Framework for Drone Target Tracking by Xun Zhao, Xinjian Huang, Jianheng Cheng, Zhendong Xia, Zhiheng Tu

“…Across various target trajectories, the VTD3 algorithm demonstrates a significant reduction in average tracking errors along the X-axis and Y-axis of up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>34.35</mn><mo>%</mo></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>45.36</mn><mo>%</mo></mrow></semantics></math></inline-formula>, respectively. …”
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The FRIENDS preventive programme for reducing anxiety symptoms in children and adolescents: A systematic review and meta‐analysis by Trine Filges, Geir Smedslund, Tine Eriksen, Kirsten Birkefoss, Malene Wallach Kildemoes

“…Six studies did not report data that enabled calculation of effect sizes and standard errors. Two studies had partial overlap of data to other studies used, and two were written in Persian. …”
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Allergic rhinitis: Review of the diagnosis and management: South African Allergic Rhinitis Working Group by Guy A. Richards, Marinda McDonald, Claudia L. Gray, Pieter de Waal, Ray Friedman, Maurice Hockman, Sarah J. Karabus, Cornelia M. Lodder, Tshegofatso Mabelane, Sylvia M. Mosito, Ashen Nanan, Jonny G. Peter, Traugott H.C. Quitter, Riaz Seedat, Sylvia van den Berg, Andre van Niekerk, Eftyhia Vardas, Charles Feldman

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Dietary misreporting: a comparative study of recalls vs energy expenditure and energy intake by doubly-labeled water in older adults with overweight or obesity by Leinys S. Santos-Báez, Michele N. Ravelli, Diana A. Díaz-Rizzolo, Collin J. Popp, Dympna Gallagher, Bin Cheng, Dale Schoeller, Blandine Laferrère

“…Abstract Background Self-report methods are widely used to assess energy intake but are prone to measurement errors. We aimed to identify under-reported, over-reported, and plausible self-reported energy intake by dietary recalls (rEI) using a standard method (Method 1) that calculates the rEI ratio against measured energy expenditure (mEE) by doubly-labeled water (DLW), and compare it to a novel method (Method 2), which calculates the rEI ratio against measured energy intake (mEI) by the principle of energy balance (EB = mEE + changes in energy stores). …”
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Primary healthcare expansion and mortality in Brazil's urban poor: A cohort analysis of 1.2 million adults. by Thomas Hone, Valeria Saraceni, Claudia Medina Coeli, Anete Trajman, Davide Rasella, Christopher Millett, Betina Durovni

“…Key limitations in this study are potential unobserved confounding through selection into the program and linkage errors, although analytical approaches have minimized the potential for bias.…”
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Real‐Time Self‐Optimization of Quantum Dot Laser Emissions During Machine Learning‐Assisted Epitaxy by Chao Shen, Wenkang Zhan, Shujie Pan, Hongyue Hao, Ning Zhuo, Kaiyao Xin, Hui Cong, Chi Xu, Bo Xu, Tien Khee Ng, Siming Chen, Chunlai Xue, Zhanguo Wang, Chao Zhao

“…Abstract Traditional methods for optimizing light source emissions rely on a time‐consuming trial‐and‐error approach. While in situ optimization of light source gain media emission during growth is ideal, it has yet to be realized. …”
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Advancing Evapotranspiration Modeling With Optimized Soil and Canopy Resistance Combinations by Jinfeng Zhao, Shikun Sun, Yali Yin, Yihe Tang, Chong Li, Yongshan Liang, Yubao Wang, Alexander Winkler, Shijie Jiang

“…The performance of best‐performing but unexplored combinations (S2‐C1, S2‐C2, S2‐C5) is consistent with PML‐V2, GLEAM4, and underlying water use efficiency model, explaining 56% of the variation in daily ET and achieving an root mean square error as low as 1.02 mm day−1. However, these models show reduced accuracy in arid zones, where prolonged water stress led to a 38% reduction in R2. …”
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Framingham Risk Score Prediction at 12 Months in the STANDFIRM Randomized Control Trial by Thanh G. Phan, Velandai K. Srikanth, Dominique A. Cadilhac, Mark Nelson, Joosup Kim, Muideen T. Olaiya, Sharyn M. Fitzgerald, Christopher Bladin, Richard Gerraty, Henry Ma, Amanda G. Thrift

“…We determine baseline characteristics that predict reduction in FRS at 12 months and whether future FRS is predetermined at baseline. …”
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Addressing ORPD problem in a standard IEEE power network accompanied with RESs and FACTs appliances by COMMKE under volatile load scenarios by Susanta Dutta, Tushnik Sarkar, Chandan Paul, Sabbir Reza Tarafdar, Provas Kumar Roy, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…To make this comparison more lucid, statistical records are produced, box plots are presented, error bar plots are used and moreover one way ANOVA test has been performed over the results generated through the different optimization approaches.…”
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Generating synthetic brain PET images of synaptic density based on MR T1 images using deep learning by Xinyuan Zheng, Patrick Worhunsky, Qiong Liu, Xueqi Guo, Xiongchao Chen, Heng Sun, Jiazhen Zhang, Takuya Toyonaga, Adam P. Mecca, Ryan S. O’Dell, Christopher H. van Dyck, Gustavo A. Angarita, Kelly Cosgrove, Deepak D’Souza, David Matuskey, Irina Esterlis, Richard E. Carson, Rajiv Radhakrishnan, Chi Liu

“…The image translation accuracy was evaluated based on the mean squared error, structural similarity index, percentage bias and Pearson’s correlation coefficient between the ground truth and the predicted images. …”
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Physical activity attenuates the genetic predisposition to obesity in 20,000 men and women from EPIC-Norfolk prospective population study. by Shengxu Li, Jing Hua Zhao, Jian'an Luan, Ulf Ekelund, Robert N Luben, Kay-Tee Khaw, Nicholas J Wareham, Ruth J F Loos

“…Each additional BMI-increasing allele was associated with 0.154 (standard error [SE] 0.012) kg/m(2) (p = 6.73 x 10(-37)) increase in BMI (equivalent to 445 g in body weight for a person 1.70 m tall). …”
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Antihypertensive Drug Recommendations for Reducing Arterial Stiffness in Patients With Hypertension: Machine Learning–Based Multicohort (RIGIPREV) Study by Iván Cavero-Redondo, Arturo Martinez-Rodrigo, Alicia Saz-Lara, Nerea Moreno-Herraiz, Veronica Casado-Vicente, Leticia Gomez-Sanchez, Luis Garcia-Ortiz, Manuel A Gomez-Marcos

“…A multioutput regressor using 6 random forest models was used to predict the impact of each antihypertensive class on PWV reduction. Model performance was evaluated using the coefficient of determination (R2) and mean squared error. …”
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