Cooperative Intelligent Transport Systems: The Impact of C-V2X Communication Technologies on Road Safety and Traffic Efficiency by Jingwen Wang, Ivan Topilin, Anastasia Feofilova, Mengru Shao, Yadong Wang

“…The integration of artificial intelligence, sensors, and machine vision systems enables autonomous vehicles (AVs) to rapidly adapt to changes in the road environment, minimizing human error and significantly reducing collision risks. …”
Get full text

Thermal Bending Simulation and Experimental Study of 3D Ultra-Thin Glass Components for Smartwatches by Shunchang Hu, Peiyan Sun, Zhen Zhang, Guojun Zhang, Wuyi Ming

“…By comparing the numerical simulation results, it was found that within the temperature range of 615–625 °C, a molding pressure of 25–35 MPa, a heating rate of 1.5–2.5 °C/s, a cooling rate of 0.5–1 °C/s, and a pulse pressure of 45–55 Hz, the influence on residual stress and shape deviation in the glass was minimal. The relative error range was within the 20% acceptable limit, according to the experimental validation, which offered crucial direction and ideas for process development.…”
Get full text

Optimizing base fluid composition for PEMFC cooling: A machine learning approach to balance thermal and rheological performance by Praveen Kumar Kanti, Prashantha Kumar H. G, Nejla Mahjoub Said, V. Vicki Wanatasanappan, Prabhu Paramasivam, Leliso Hobicho Dabelo

“…The thermal conductivity model showed that XGBoost has the best predictive power, with Test R² = 0.9941, Test mean square error (MSE) = 0.0000, and Test KGE = 0.9613. XGBoost again beat other models in predicting viscosity, with Test R² = 0.9944, Test MSE = 0.0269, and Test KGE = 0.9903. …”
Get full text

A New Approach to Characterize Superplastic Materials from Free-Forming Test and Inverse Analysis by Gillo Giuliano, Wilma Polini

“…In fact, the maximum percentage error, regarding the prediction of the forming times of a free-forming process, was reduced from 20% to 8%. …”
Get full text

Optimal Design of Linear Quadratic Regulator for Vehicle Suspension System Based on Bacterial Memetic Algorithm by Bala Abdullahi Magaji, Aminu Babangida, Abdullahi Bala Kunya, Péter Tamás Szemes

“…Traditionally, car suspension control tuning is performed through trial and error or with classical techniques that cannot guarantee optimal performance under varying road conditions. …”
Get full text

Harmonizing measurement tools: examining the concurrent validity of the Daily Activity Behaviors Questionnaire compared to the ActiGraph to assess 24-hour movement behaviors among... by Iris Willems, Vera Verbestel, Dorothea Dumuid, Patrick Calders, Bruno Lapauw, Marieke De Craemer

“…Intraclass correlations (95% confidence intervals), Bland-Altman plots, Spearman’s correlations and the magnitude of error were calculated to estimate the absolute agreement and validity. …”
Get full text

A hybrid variational mode decomposition framework for enhanced cardiac output estimation using impedance cardiography by Priya Darshini Kumari, Ksh Milan Singh, Zefree Lazarus Mayaluri, Prabodh Kumar Sahoo, Satyabrata Lenka, Ganapati Panda, Sujeevan Kumar Agir

“…Experimental results demonstrate that the proposed VMD-NLM-DWT approach achieves a maximum of 1.2 dB improvement in signal-to-noise ratio (SNR), an average 13% reduction in mean squared error (MSE), and 9% lower percent root mean square difference (PRD) compared to leading two-stage denoising methods. …”
Get full text

A Robust Stability Control Method Integrating Linear Quadratic Regulator and Proportional Integral for Islanded AC Microgrid by Muhammad Nauman Malik, Qianyu Zhao, Shouxiang Wang

“…The proposed hybrid LQR-PI control technique minimizes the quadratic value of power error and control inputs during transients while also optimizing robustness margins by including an adaptive tuning mechanism. …”
Get full text

Assessment of BDS-3 PPP-B2b Service and Its Applications for the Determination of Precipitable Water Vapour by Xiaoming Wang, Yufei Chen, Jinglei Zhang, Cong Qiu, Kai Zhou, Haobo Li, Qiuying Huang

“…For stations between 30° N and 48° N, the mean root mean square error (RMSE) of ZTD for the PPP-B2b solution was approximately 15 mm compared to ZTD from the International GNSS Service (IGS). …”
Get full text

A novel adaptive multi-scale wavelet Galerkin method for solving fuzzy hybrid differential equations by V. Murugesh, M. Priyadharshini, Yogesh Kumar Sharma, Sultan Mesfer Aldossary, Shakti Kundu, Saksham Malik, Kedir Botamo Adem, Arshad Hashmi

“…The method utilises local error estimates to refine the solution domain, adapting to the solution characteristics: fine refinement is used in areas of steep gradients, discontinuities, and fuzzy transitions, while coarse refinement is used everywhere else. …”
Get full text

Analysis of Abnormal Sea Level Rise in Offshore Waters of Bohai Sea in 2024 by Song Pan, Lu Liu, Yuyi Hu, Jie Zhang, Yongjun Jia, Weizeng Shao

Get full text

A comparative analysis of the 1-year outcomes of modified Athens protocol versus Cretan protocol in the treatment of progressive keratoconus by Jielei Huang, Jiawei Wu, Wang Xiao, Lu Xiong, Bo Zhang, Ivey Thornton, Zheng Wang

“…There were no significant variances between the two groups regarding changes in refractive error, corneal curvature, corneal astigmatism, and keratoconus parameters. …”
Get full text

Are They Aligned? An Analysis of Social Media-Based Nurse Well-Being Concerns and Well-Being Programs by Arianna P. Milicia, Jessica L. Handley, Christian L. Boxley, Deanna-Nicole C. Busog, Seth Krevat, Nate Apathy, Daniel Marchalik, Raj M. Ratwani, Ella S. Franklin

“…# Background Nurse burnout and distress pose patient safety risks due to impaired nurse attention, increased likelihood of medical error, and increased nurse turnover leading to a reduction in the number of nurses available to deliver care. …”
Get full text

Generative Adversarial Networks for Climate-Sensitive Urban Morphology: An Integration of Pix2Pix and the Cycle Generative Adversarial Network by Mo Wang, Ziheng Xiong, Jiayu Zhao, Shiqi Zhou, Yuankai Wang, Rana Muhammad Adnan Ikram, Lie Wang, Soon Keat Tan

“…Additionally, CycleGAN-enhanced outputs exhibited a 35% reduction in relative error compared to Pix2Pix-generated images, significantly improving edge preservation and urban feature accuracy. …”
Get full text

Customizing Computerized Adaptive Test Stopping Rules for Clinical Settings Using the Negative Affect Subdomain of the NIH Toolbox Emotion Battery: Simulation Study by Saki Amagai, Aaron J Kaat, Rina S Fox, Emily H Ho, Sarah Pila, Michael A Kallen, Benjamin D Schalet, Cindy J Nowinski, Richard C Gershon

“…Burden was measured by the number of items administered per simulation, precision by the percentage of assessments yielding reliability cutoffs (0.85, 0.90, and 0.95), and accurate score recovery by the root mean squared error between the generating θ and the CAT-estimated “expected a posteriori”–based θ. …”
Get full text

Detail-preserving denoising of CT and MRI images via adaptive clustering and non-local means algorithm by Mohit Sharma, Ayush Dogra, Bhawna Goyal, Anita Gupta, Manob Jyoti Saikia

“…Residual noise in the low-rank matrix is then further suppressed through a coefficient-wise linear minimum mean square error LMMSE estimator in the PCA transform domain. …”
Get full text

Research on the Transformer Failure Diagnosis Method Based on Fluorescence Spectroscopy Analysis and SBOA Optimized BPNN by Xueqing Chen, Dacheng Li, Anjing Wang

“…By using the mathematical evaluation methods to comprehensively evaluate and compare the effects of various algorithm models, it was found that the Loess-MDS-SBOA-BP model has the best performance, with its determination coefficient (R²) increasing to 99.711%, the root mean square error (RMSE) being only 0.27144, and the other evaluation indicators also being optimal. …”
Get full text

A mathematical phase field model predicts superparamagnetic nanoparticle accelerated fusion of HeLa spheroids for field guided biofabrication by Cristian F. Rodríguez, Valentina Quezada, Paula Guzmán-Sastoque, Juan Camilo Orozco, Luis H. Reyes, Johann F. Osma, Carolina Muñoz-Camargo, Juan C. Cruz

“…Increased system complexity introduced slightly higher error variability, but the model maintained robust predictive capabilities. …”
Get full text

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. …”
Get full text

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

“…Risk of bias overall was small but a certain degree of effect underestimation due to random error cannot be ruled out. Please see later in the article for the Editors' Summary.…”
Get full text