Tibiofemoral Joint Contact Force Estimation Based on OpenSim Musculoskeletal Modeling by WANG Xiaoling, JIAN Jiawei, XIE Qiurong, LIAN Zhanghui, GUO Chunming, GUO Jiemei, LI Yurong

“…The average correlation coefficients between the estimated contact force and the measured values of medial, lateral, and total contact forces were (0.921±0.079), (0.817±0.084) and (0.930±0.066), and the average root mean square errors were (0.336±0.146), (0.332±0.043), and (0.442±0.160) BW. …”
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Research and Analysis of Thermal Parameter of Million-kilowatt Sodium-cooled Fast Reactor by DING Tongwei1, CHEN Wei2, WANG Wenjie3

“…The model was validated using two sets of actual operational data from the CEFR at 40% rated power and 100% rated power, and the relative error of electric power was found to be less than 1.3%. …”
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Evaluating the performance of artificial intelligence-based speech recognition for clinical documentation: a systematic review by Joel Jia Wei Ng, Eugene Wang, Xinyan Zhou, Kevin Xiang Zhou, Charlene Xing Le Goh, Gabriel Zheng Ning Sim, Hiang Khoon Tan, Serene Si Ning Goh, Qin Xiang Ng

“…Although some studies highlighted reductions in documentation time and improvements in note completeness, others noted increased editing burdens, inconsistent cost-effectiveness and persistent errors with specialized terminology or accented speech. …”
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Enhancing microgrid forecasting accuracy with a TCNN-TLS framework: A novel approach to mitigating uncertainty in renewable energy and load predictions by Md. Omer Faruque, Md. Majharul Islam, Md Jakaria Talukder, Arif Mia, Shahriar Tasnim, Md. Alamgir Hossain, S.M. Muyeen

“…The results demonstrate significant improvements after error adjustment, particularly in wind power and load forecasting, with notable reductions of 16.2% and 6.0% in RMSE and 17.4% and 5.7% in MAE, respectively. …”
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Multiplexed expansion revealing for imaging multiprotein nanostructures in healthy and diseased brain by Jinyoung Kang, Margaret E. Schroeder, Youngmi Lee, Chaitanya Kapoor, Eunah Yu, Tyler B. Tarr, Kat Titterton, Menglong Zeng, Demian Park, Emily Niederst, Donglai Wei, Guoping Feng, Edward S. Boyden

“…Across all datasets examined, multiExR exhibits a median round-to-round registration error of 39 nm, with a median registration error of 25 nm when the most stringent form of the protocol is used. …”
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An Optimization Method for Indoor Pseudolites Anchor Layout Based on MG-MOPSO by Xiaohu Liang, Shuguo Pan, Shitong Du, Baoguo Yu, Shuang Li

“…Additionally, significant reductions are observed in average positioning error, maximum positioning error, and standard deviation across multiple test points. …”
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Evaluation of Near‐Surface Specific Humidity and Air Temperature From Atmospheric Infrared Sounder (AIRS) Over Oceans by Weikang Qian, Yixin Wen, Shang Gao, Zhi Li, Jesse Kisembe, Haotong Jing

“…The Atmospheric Infrared Sounder (AIRS) provides global estimates of near‐surface AT and SH estimates, with continuous improvements in accuracy leading to significant reductions in error rates. However, existing studies have not systematically validated AIRS near‐surface products in both temporal and spatial perspectives, especially over oceans. …”
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An Adaptive Fusion Path Tracking Strategy for Autonomous Vehicles Based on Improved ACO Algorithm by Jihan Zhang, Yuan Wang, Jinyan Hu, Hongwu You

“…Experimental results showed that the IMACO-based fusion controller achieves significant enhancements in path-tracking accuracy, with root mean square error (RMSE) reductions of 68.3%, 74.5%, 35.8%, and 21.8% when compared to PP controller, PID controller, original ACO-based fusion controller, and the Cuckoo-based fusion controller, respectively. …”
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Precision‐Optimised Post‐Stroke Prognoses by Thomas M. H. Hope, Howard Bowman, Rachel M. Bruce, Alex P. Leff, Cathy J. Price

“…Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known. …”
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A Path Analysis—Generalized Method of Moments Based on a Nearest-Neighbor with Observed Variable Model for Developing New Scenario Policies to Reduce Greenhouse Gas Emissions from... by Pruethsan Sutthichaimethee, Phayom Saraphirom, Chaiyan Junsiri

“…This model incorporates white noise and addresses gaps in previous models, ensuring minimal forecasting errors. The findings highlight the need for the government to implement the most suitable policy scenario to achieve sustained reductions in agricultural waste over the next two decades (2025–2044). …”
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Investigating the accuracy of Apple Watch VO2 max measurements: A validation study. by Rory Lambe, Ben O'Grady, Maximus Baldwin, Cailbhe Doherty

“…Increased cardiorespiratory fitness is associated with reductions in coronary artery disease, diabetes and cancer. …”
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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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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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Cost-effectiveness of financial incentives to improve glycemic control in adults with diabetes: A pilot randomized controlled trial. by Leonard E Egede, Rebekah J Walker, Clara E Dismuke-Greer, Sarah Pyzyk, Aprill Z Dawson, Joni S Williams, Jennifer A Campbell

“…Group 1 (low frequency) received a single incentive for absolute HbA1c reduction, Group 2 (moderate frequency) received a two-part incentive for home testing of glucose and absolute HbA1c reduction and Group 3 (high frequency) received a multiple component incentive for home testing, attendance of weekly telephone education classes and absolute HbA1c reduction. …”
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Pharmacokinetics of Pegaspargase with a Limited Sampling Strategy for Asparaginase Activity Monitoring in Children with Acute Lymphoblastic Leukemia by Cristina Matteo, Antonella Colombini, Marta Cancelliere, Tommaso Ceruti, Ilaria Fuso Nerini, Luca Porcu, Massimo Zucchetti, Daniela Silvestri, Maria Grazia Valsecchi, Rosanna Parasole, Luciana Vinti, Nicoletta Bertorello, Daniela Onofrillo, Massimo Provenzi, Elena Chiocca, Luca Lo Nigro, Laura Rachele Bettini, Giacomo Gotti, Silvia Bungaro, Martin Schrappe, Paolo Ubezio, Carmelo Rizzari

“…This model predicts the AUC with 6% average error and 35% maximum error compared to the AUC estimated with all available measures. …”
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Upper-Bound Analysis of Slope Reliability Considering Anisotropic Spatial Variability and Reinforcement with Anti-slide Piles by ZHAO Zi-hao, WANG Jia-rui, FU Tao-tao, ZHU En-lin

“…The safety factors for Examples 1 and 2 were calculated as 1.63 and 1.46, respectively, with an average error of 1.8 % in the verification results. For the anisotropic spatially variable slope, the error in the failure probability is on the order of 10^-3. …”
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The Relative Role of Semantic and Sublexical Processes in Reading, Writing and Repetition: Evidence from a Follow-Up Study by Flavia Mattioli

“…The patient, examined twice, in a 10 month follow-up, showed a dissociation between preserved reading with respect to impaired other modalities as well as a qualitative change in errors' type. A reduction of neologisms and phonologically based errors, with a concurrent increase of semantic paraphasias in naming and repetition, as well as an amelioration in reading, with a reduction of stress assignment errors was exhibited at the follow-up. …”
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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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An open-label, randomized, post-authorization study of mirabegron in Chinese participants with overactive bladder by Zhipeng Zhang, Deyi Luo, Zhong Chen, Peng Zhang, Ganping Zhong, Keji Xie, Zhuoqun Xu, Xudong Li, Jianye Wang, Yingfan Yang, Farid Abdul Hadi, Arianne Schild

“…Results: Statistically significant reduction (p<0.001) from baseline to Week 12 was observed in mean micturitions per 24 h for participants randomized to mirabegron 50 mg/day: mean±standard error: 11.71±0.43 at baseline, 7.80±0.24 at Week 12; adjusted mean change: −3.73 (95% confidence interval −4.30 to −3.16). …”
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Digitising the on-call medical team's patient list system: a QIP by Fahad-Bin Zahid

“…Materials and methods: Baseline issues with paper-based system (survey results): • 66.7% of registrars dissatisfied or very dissatisfied with the paper system; • 80% reported issues such as lost lists or incomplete information; • 41% of registrars reported incidents of losing paper lists; • 86.7% of respondents reported finding the handover process time-consuming or error-prone; • Average time spent rewriting patient details during handovers: 10–30 min. • Key metrics monitored: • Reduction in handover times; • System usability (user interaction with features, such as priority setting, location etc); • Feedback on efficiency and user satisfaction; • Environmental impact: complete elimination of paper lists.Framework used: plan–do–study–act (PDSA)System development: • A live Excel-based patient list hosted on SharePoint and accessible MS Teams channel; • Features: priority setting, timestamping, real-time logging, clerking status updates, specialty columns, and live accessibility for all members within the designated MS teams channel.Stakeholder engagement: • Regular feedback sessions with registrars and consultants; • Collaboration with the digital innovation team.Sustainability principles: • Eliminated paper waste, thus reducing the environmental impact and securely archiving older lists within a Trust-approved system for auditability and governance; • Used existing infrastructure for minimal financial investment. …”
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