Investigating the Neural Mechanisms of Self-Controlled and Externally Controlled Movement with a Flexible Exoskeleton Using EEG Source Localization by Takayuki Kodama, Masahiro Yoshikawa, Kosuke Minamii, Kazuhei Nishimoto, Sayuna Kadowaki, Yuuki Inoue, Hiroki Ito, Hayato Shigeto, Kohei Okuyama, Kouta Maeda, Osamu Katayama, Shin Murata, Kiichiro Morita

“…Source localization revealed that self-controlled tasks engaged motor planning and error-monitoring regions more robustly. Conclusions: The flexEXO device and the comparison of brain activity under different conditions provide insights into the neural mechanisms of motor control and have implications for neurorehabilitation.…”
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Application of Isokinetic Dynamometry Data in Predicting Gait Deviation Index Using Machine Learning in Stroke Patients: A Cross-Sectional Study by Xiaolei Lu, Chenye Qiao, Hujun Wang, Yingqi Li, Jingxuan Wang, Congxiao Wang, Yingpeng Wang, Shuyan Qie

“…Model performance was evaluated using mean squared error (MSE), the coefficient of determination (R²), and mean absolute error (MAE). …”
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Prediction of Rut Depth in Soil Caused by Wheels Using Artificial Neural Networks by N. Farhadi, A. Mardani, A. Hosainpour, B. Golanbari

“…Specifically, the root mean square error (RMSE) for the optimal MLP model, which utilized a learning rate of 0.001 and a momentum of 0.67, was 0.10. …”
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Estimation of the aboveground carbon stocks based on tree species identification in Saihanba plantation forest by Ao Zhang, Xiaohong Wang, Xin Gu, Xiangyao Xu, Xintong Gao, Linlin Jiao

“…Furthermore, the discrepancy between this estimation and the direct measurement outcomes of the forest management inventory (FMI) was minimal, exhibiting a relative error of only −5.2%, estimation precision of 94.8%. …”
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The Intervened effect of place attachment on the relationship between community attachment and environmental behaviors (case study: Tajrish neighborhood) by Atousa Soleimani, Ahmad Nohegar

“…Today, environmental concepts deeply have social implications, and a large part of the people’s environmental beliefs and behaviors changes under the influence of cultural and social systems (Kalantari et al., 2016). …”
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The Fetal Region-specific Optimized Growth Standard (FROGS)-A fetal and birthweight centile calculator validated in a national population. by Natasha L Pritchard, Stephen Tong, Teresa MacDonald, Elizabeth McCarthy, Lisa Hui, Michael Bethune, Hannah G Gordon, Roxanne Hastie, Emerson Keenan, Michael Permezel, Susan P Walker, Anthea C Lindquist

“…This study is limited in that it retrospectively assesses birthweight, which may have different implications to a prospective evaluation of estimated fetal weight.…”
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Focus on reflective competence: A triangulation to examine youth soccer coaches' reflective competence by Max Danner, Mareike Ahns, Günter Amesberger

“…Coach behaviours and practice structures in youth soccer: Implications for talent development. Journal of Sports Sciences, 30(15), 1631–1641. https://doi.org/10.1080/02640414.2012.721930 Dempsey, N. …”
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Explainable artificial intelligence visions on incident duration using eXtreme Gradient Boosting and SHapley Additive exPlanations by Khaled Hamad, Emran Alotaibi, Waleed Zeiada, Ghazi Al-Khateeb, Saleh Abu Dabous, Maher Omar, Bharadwaj R.K. Mantha, Mohamed G. Arab, Tarek Merabtene

“…Efficient management of traffic incidents is a focal point in traffic management, with direct implications for road safety, congestion, and the environment. …”
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Inter-assay variability in the measurement of urinary C-terminal cross-linked telopeptide of type II collagen following anterior cruciate ligament reconstruction by Lachlan M. Batty, Kate E. Webster, Natasha Vassileff, Jereme G. Spiers, Haydn J. Klemm, Brian Devitt, Timothy S. Whitehead, Andrew F. Hill, Julian A. Feller

“…The specific assay used is critical to consider when interpreting results and has implications for pooling data and meta-analysis.…”
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Granulomatous lymphocytic interstitial lung disease in common variable immune deficiency: an in-depth clinical, immunological, functional and radiological exploration with a focus... by Mattia Moratti, Mattia Moratti, Gioacchino Schifino, Francesco Baccelli, Francesco Baccelli, Simona Ferrari, Elisabetta Magrini, Mirna Bassi, Aldo Guerrieri, Maurizio Zompatori, Marcello Lanari, Marcello Lanari, Francesca Conti, Francesca Conti

“…BackgroundCommon variable immune deficiency (CVID) is the most prevalent inborn error of immunity (IEI), marked by diverse clinical-immunological phenotypes and significant immune-dysregulation, including granulomatous lymphocytic interstitial lung disease (GLILD). …”
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Prediction of Hydrogen Production from Solid Oxide Electrolytic Cells Based on ANN and SVM Machine Learning Methods by Ke Chen, Youran Li, Jie Chen, Minyang Li, Qing Song, Yushui Huang, Xiaolong Wu, Yuanwu Xu, Xi Li

“…With this precision, the ANN model for SOEC hydrogen production prediction has positive implications for air pollution control strategies and the development of cleaner energy technologies, contributing to overall improvements in air quality and the reduction of atmospheric pollutants.…”
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Longitudinal Changes in Corneal Thickness over 8 Years: Findings from the National Institute for Longevity Sciences–Longitudinal Study of Aging Population-Based Cohort Study in Jap... by Hideki Fukuoka, MD, PhD, Chikako Tange, PhD, Fujiko Ando, MD, PhD, Hiroshi Shimokata, MD, PhD, Yukiko Nishita, PhD, Rei Otsuka, PhD

“…These results have important implications for glaucoma diagnosis and refractive surgery safety evaluations in aging populations. …”
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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 offer suggestions for how this can be remedied as well as quantifying the severity of this particular type of statistical error. Although the examined literature concerns a specific neuroscience-related area of research, the implications of pseudoreplication apply to all fields of empirical research.…”
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Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution by Jiaxing CHEN, Yang LIU, Xiaoqian LIU, Zhihua LIU

“…Moreover, in terms of maximum and average error, the LDIABC algorithm exhibited a lower localization error than the other algorithms, indicating an effective optimization effect.Conclusions The LDIABC algorithm has proven effective in improving convergence speed and preventing the process from becoming trapped in local optima during iterations. …”
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A vegetation phenology dataset developed by integrating multiple sources using the reliability ensemble averaging method by Y. Cui, S. Chen, Y. Gong, M. Li, Z. Jia, Y. Zhou, Y. Zhou, Y. H. Fu, Y. H. Fu, Y. H. Fu

“…<p>Global change has substantially shifted vegetation phenology, with important implications in the carbon and water cycles of terrestrial ecosystems. …”
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On using dynamical seasonal forecasts to develop management-driven wildland fire outlooks in Alaska by Cecilia Borries-Strigle, Uma S. Bhatt, Peter A. Bieniek, Mitchell Burgard, Eric Stevens, Heidi Strader, Richard L. Thoman, Alison York, Robert H. Ziel

“…However, instances of higher Heidke and MSE skill scores for March forecasts, especially in later subseasons and during large fires years, could be explained by the seasonally decreased predictability. Practical Implications: Alaska’s wildfire season has changed over the past 30 years. …”
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Clinical performance evaluation of the SiJoy GS1 continuous glucose monitor during oral glucose tolerance testing in healthy adults by Wanyi Zhao, Wanyi Zhao, Wanyi Zhao, Wanyi Zhao, Wanyi Zhao, Dongmei Zheng, Dongmei Zheng, Dongmei Zheng, Dongmei Zheng, Dongmei Zheng, Xianbao Shi, Feng Xu, Feng Xu, Lin Chen, Lin Chen, Xingmei Liu, Xingmei Liu, Xingmei Liu, Xingmei Liu, Xiaolong Jin, Xiaolong Jin, Qingbo Guan, Qingbo Guan, Qingbo Guan, Qingbo Guan, Qingbo Guan, Chao Xu, Chao Xu, Chao Xu, Chao Xu, Chao Xu

“…SiJoy GS1 sensors exhibit an excellent performance of consistency with 96.6% at 20/20% and MARD of 8.01(± 4.9) % at the fasting phase. The consensus error grid results showed 89.22% of all values fell within Zone A, and 100% of values were in Zone A+B collectively. …”
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The Pathology of Insistence on Indirect Disclosure of Operating Cash Flows by Esmail Farzaneh Kargar, Mehdi Bahar Moghadam

“…This method reduces reliability (fair presentation) because it is based on the income statement, which is prone to error and does not rely on initial transactions. …”
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The impact of knowledge management on business performance with emphasis on the role of accounting information quality (Case study: financial institutions listed on the Tehran Capi... by Rahele Mashaykhi, Ahmad Pifeh, Hamed Ahmadzade

“…On the other hand, examining the moderating effect coefficient of the accounting information quality variable on the relationship between knowledge management and business performance is (0.461, 0.594) and the significance value (t-value) is (4.04, 7.69) and is greater than 1.96 and at a confidence level of 0.95; we concluded that this path coefficient is significant at an error level of 0.05; that is, accounting information quality moderates the relationship between knowledge management and business performance.Research limitations/implications: Among the limitations we faced during the research are: Due to the nature of the methodology, this research required the cooperation of the respondents to complete the questionnaire, and some of the respondents refused. …”
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Inverse modelling of New Zealand's carbon dioxide balance estimates a larger than expected carbon sink by B. Bukosa, S. Mikaloff-Fletcher, G. Brailsford, D. Smale, E. D. Keller, E. D. Keller, W. T. Baisden, M. U. F. Kirschbaum, D. L. Giltrap, L. Liáng, S. Moore, R. Moss, S. Nichol, J. Turnbull, A. Geddes, D. Kennett, D. Hidy, Z. Barcza, L. A. Schipper, A. M. Wall, S.-I. Nakaoka, H. Mukai, A. Brandon

“…Further work to identify the cause of the gap is essential to understand the implications of this finding for New Zealand's inventory and climate mitigation strategies.…”
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