High Water Level Forecast Under the Effect of the Northeast Monsoon During Spring Tides by Yat-Chun Wong, Hiu-Fai Law, Ching-Chi Lam, Pak-Wai Chan

“…Hindcast using ECMWF forecasts as input reveals that the reduction of mean absolute error (MAE) by adding the anomaly forecast to the existing predicted astronomical tide was as high as 30% in February on average over the whole range of water levels, as well as that compared against the Delft3D forecast in a strong northeast monsoon case. …”
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Effect of statins on venous thromboembolic events: a meta-analysis of published and unpublished evidence from randomised controlled trials. by Kazem Rahimi, Neeraj Bhala, Pieter Kamphuisen, Jonathan Emberson, Sara Biere-Rafi, Vera Krane, Michele Robertson, John Wikstrand, John McMurray

“…However, a more moderate reduction in risk up to about one-fifth cannot be ruled out.…”
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Preliminary insights into the effects of spinal manipulation therapy of different force magnitudes on blood biomarkers of oxidative stress and pro-resolution of inflammation mediat... by Felipe C. K. Duarte, Martha Funabashi, David Starmer, Wania A. Partata

“…However, 800 N appeared to transitorily increase these pro-oxidant parameters with a further transitory reduction in plasma total antioxidant capacity and resolvin D1 mediator. …”
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TREATMENT OF SPASTICITY AND DEGENERATIVE-DYSTROPHIC CHANGES IN MUSCLES IN CHILDREN WITH CEREBRAL PALSY by О. Данилов, О. Шульга

“…Quantitative data were statistically processed using the mean ± standard error (M±m), and statistical significance was determined using Student’s t-test. …”
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Risk coupling analysis of underground gas storage leakage accidents based on dynamic Bayesian network and N-K model by Yao Hu, Zhilong Ding, Liguang Qiao, Feng Gu, Mengqi Yang

“…Additionally, the validation of the proposed model is proven utilizing a three-axiom-based technique.ResultsBy integrating the N-K model’s mutual information metric with DBN’s temporal modeling, the approach achieves a mean absolute error (MAE) of 0.032 in predicting coupling probabilities and enables risk reduction of up to 17.4% through targeted interventions, enhancing the accuracy and actionable insights for UGS safety management. …”
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Lower-Complexity Multi-Layered Security Partitioning Algorithm Based on Chaos Mapping-DWT Transform for WA/SNs by Tarek Srour, Mohsen A. M. El-Bendary, Mostafa Eltokhy, Atef E. Abouelazm, Ahmed A. F. Youssef, Ali M. El-Rifaie

“…The resource limitations of Low-Power Wireless Networks (LP-WNs), such as Wireless Sensor Networks (WSNs), Wireless Actuator/Sensor Networks (WA/SNs), and Internet of Things (IoT) outdoor applications, restrict the utilization of the error-performance-enhancing techniques and the use of the powerful and robust security tools. …”
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A Novel Approach to Generate Large-Scale InSAR-Derived Velocity Fields: Enhanced Mosaicking of Overlapping InSAR Data by Xupeng Liu, Guangyu Xu, Yaning Yi, Tengxu Zhang, Yuanping Xia

“…In addition, a significant improvement of 30% in RMSE reduction was achieved for some tracks.…”
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Evaluation of the influence of hydrodynamic cavitation treatment of dark petroleum products on the yield of fractions with boiling points up to 400°C by B. V. Peshnev, E. V. Burlyaeva, V. B. Terenteva, D. V. Nikishin, A. I. Nikolaev, K. S. Andronov

“…Objectives. The reduction of the anthropogenic burden on the environment is generally associated with the transition to alternative energy sources. …”
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Prediction of moisture content of hummus peach based on multi-burr hyperspectral data by GAO Aidi, QIAO Fengzhang, ZHU Wenxuan, ZHONG Xiaopin, DENG Yuanlong

“…The coefficient of determination (<i>R</i>²) was 0.928, and the root mean square error (RMSE) was 0.008 4 on the training set. The <i>R</i>² was 0.926, and the RMSE was 0.009 2 on the testing set. …”
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Dynamic Simulation of Ground Braking Force Control Based on Fuzzy Adaptive PID for Integrated ABS-RBS System with Slip Ratio Consideration by Pinjia Shi, Yongjun Min, Hui Wang, Liya Lv

“…The proposed control strategy achieves remarkable precision improvements, reducing integral time absolute error (<i>ITAE</i>) by 8.3–52.8% compared to conventional methods. …”
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Research on Newton-Krylov Method for Multi-component Flow Heat Transfer Coupled System of High-temperature Gas-cooled Reactor by TANG Huanran, ZHANG Han, LIU Lixun, PENG Xinru, WU Yingjie, GUO Jiong, LI Fu

“…The correctness of this program was verified by comparison with the high-temperature gas-cooled reactor analysis program TINTE. The maximum error between this program and TINTE is less than 0.1%. …”

On the parametric analytics to investigate hole quality characteristics during helical milling of carbon fiber reinforced plastics stacks by Mehdi Tlija, Nimra Naeem, Mohammad Pervez Mughal, Kiran Mughal, Saad Ullah, Muhammad Sana, Anamta Khan

“…Analysis of variance is used to study the impact of input variables on the hole quality aspects that include delamination damage, length of uncut fiber, circularity error, and surface roughness by using the Taguchi design of experiment. …”
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Research on dynamic prediction and optimization of high altitude photovoltaic power generation efficiency using GVSAO-CNN Model under 8-climate modes by Xiaoming Xiong, Heng Hu, Qiangfu Jia, Rongjian Zhang, Chongan Huang, Qingyuan Lu

“…Specifically, it has been demonstrated to achieve a 22.6% reduction in root-mean-square error (RMSE) and a 16.7% decrease in training time when compared to traditional models. …”
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Estimation of the air conditioning energy consumption of a classroom using machine learning in a tropical climate by Liliana Ortega-Diaz, Julian Jaramillo-Ibarra, German Osma-Pinto

“…Air conditioning energy consumption in buildings represents a considerable percentage of total energy consumption, which underlines the importance of implementing measures contributing to its reduction. Predicting energy consumption is critical to making informed decisions and identifying factors influencing power consumption. …”
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Surface Deformation Monitoring and Prediction of Longtantian Open-Pit Mine Based on SBAS-InSAR and CNN-BiLSTM Techniques by Xiaoxiao Zhang, Qi Chen, Mengshi Yang, Zhifang Zhao, Yu Zheng, Qixue Dai, Yang He, Dayu Cai, Ting Xu

“…The experimental results show that the CNN-BiLSTM architecture has significantly improved prediction accuracy compared to the basic LSTM model. The prediction error distribution of the original LSTM model is in the range of [&#x2013;196.55, 106.91] mm, while the improved CNN-BiLSTM model reduces the error range to the range of [&#x2013;58.22, 74.33] mm, with extreme error values reduced by 70.40% and 30.47%, respectively. …”
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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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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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Estimation of Tree Diameter at Breast Height (DBH) and Biomass from Allometric Models Using LiDAR Data: A Case of the Lake Broadwater Forest in Southeast Queensland, Australia by Zibonele Mhlaba Bhebhe, Xiaoye Liu, Zhenyu Zhang, Dev Raj Paudyal

“…Model performance was assessed using five statistical metrics: root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), percentage bias (MBias), and the coefficient of determination (R<sup data-eusoft-scrollable-element="1">2</sup>). …”
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Process-driven strength enhancement and progressive damage analysis of three-dimensional woven composites traction rods by Hao Huang, Zhongde Shan, Yanming Xing, Zitong Guo, Chunguang Yang, Jianhua Liu, Zheng Sun, Xiaohui Ao, Dong Wang, Chenchen Tan, Weihao Wang, Juncheng Luo

“…Experimental validation demonstrated significant performance improvements, including an 18.56% increase in stiffness, a 40.69% enhancement in strength, and a 6.1% reduction in mass. The surrogate model achieved high accuracy across multiple metrics, and the predictive capabilities of the damage model showed a relative error of 13.5% for stiffness and 10.7% for strength. …”
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Study protocol for a randomised trial for atosiban versus placebo in threatened preterm birth: the APOSTEL 8 study by Ben W Mol, Fionnuala McAuliffe, Martijn A Oudijk, Christiana A Naaktgeboren, Jim Thornton, Ewoud Schuit, Job Klumper, Wouter Breebaart, Carolien Roos, Joris van der Post, Judith Bosmans, Anton van Kaam, Jelle Baalman, Marjolein Kok

“…A sample size of 760 participants (380 per group) will detect a reduction in adverse neonatal outcome from 11.95% to 6% (alpha error 0.05, beta error 0.2). …”
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