The Contribution to Understanding the Study of Psycholinguistics in Facilitating Balaghah Learning by Sokip Sokip, Ahmad Nurcholis, Kojin Kojin, Muhammad Zaenal Faizin, Abu Hanifa

“…Data analysis techniques included data reduction, data display and conclusion drawing/verification. …”
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Towards Improved Turbomachinery Measurements: A Comprehensive Analysis of Gaussian Process Modeling for a Data-Driven Bayesian Hybrid Measurement Technique by Gonçalo G. Cruz, Xavier Ottavy, Fabrizio Fontaneto

“…The Multi-Fidelity GP, therefore, stands as a reliable data fusion method for the proposed hybrid measurement technique, offering a potential reduction in instrumentation effort and testing times.…”
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A Robust Tool for 3D Rail Mapping Using UAV Data Photogrammetry, AI and CV: qAicedrone-Rail by Innes Barbero-García, Diego Guerrero-Sevilla, David Sánchez-Jiménez, David Hernández-López

“…The detection performance and metric results show a significant reduction in errors and increased precision compared to intermediate YOLO-based outputs. …”
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Integrating AI predictive analytics with naturopathic and yoga-based interventions in a data-driven preventive model to improve maternal mental health and pregnancy outcomes by Neha Irfan, Sherin Zafar, Kashish Ara Shakil, Mudasir Ahmad Wani, S. N. Kumar, A. Jaiganesh, K. M. Abubeker

“…Furthermore, ensemble methods enhanced predictive performance, highlighting their ability to balance accuracy, precision, recall, and F1 score. …”
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Assessment of predictors and mitigation strategy for therapeutic inertia in the management of hypertension: a quality improvement project by Ananyan Sampath, Shreya Deshpande, Rashmi Verma, Rajnish Joshi

“…When patient adherence was disregarded, TI increased to 49.7%. The total error rate in BP management ranged from 53.29% to 61.5%. …”
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Novel sliding mode control of the manipulator based on a nonlinear disturbance observer by Keyou Guo, Haoze Zhang, Caili Wei, Haibing Jiang, Jiangnan Wang

“…Through simulation and comparative experiments conducted using MATLAB/Simulink, the controller model exhibited a 16.4% average reduction in the mean square value of tracking errors compared to existing control strategies, with improvements observed in various performance indicators. …”
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Research on the prediction algorithm of tread wear for locomotive wheels based on GA-ridge regression analysis by FANG Xin, LIU Tong, CHENG Yaping, SUN Yuduo, WANG Feier

“…The results indicate relatively lower prediction errors and standard deviations of errors when using the GA-ridge regression prediction algorithm. …”
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Surface Quality Monitoring and Improvement for Dimensional Metrology in Inline CT by Denoising with Neural Networks and Fast Surface Quality Metric by Faizan Ahmad, Ahmed Baraka, César Cardona-Marin, Steffen Kieß, Dominik Wolfschläger, Robert H. Schmitt, Sven Simon

“…To address this challenge, denoising methods based on neural networks have been used, outperforming traditional algorithms such as BM3D. …”
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The tug of war: will regulatory quality and green innovation outpace carbon emissions? by Raphael Ampedu, Xiongyuan Wang, Kihumuro Jotham, Richmond Mensah

“…The factors influencing emissions reduction in the region are investigated using PMG, GEE, Quantile regression, Panel Corrected Standard Errors (PCSE), and Two Step System Generalized Method of Moments (GMM) for robustness. …”
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Increasing R&D effectiveness: planning as a tool for reducing technological risk in engine development by A. D. Kondryakov, A. V. Sartori, E. Ju. Marchukov, A. V. Solovieva, S. V. Chuklinov

“…This approach simplifies early identification of potential issues and reduces the risk of errors during the design phase. A new lean planning method is introduced, including assessing the readiness of the designed product at the design stage based on a roadmap. …”
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Distributed sliding mode control approach with adaptive spacing policy for vehicle platoons in communication interruption scenario by Jianqiang Wang, Ting Tong, Jianzhong Cao, Shiwei Li

“…Additionally, the DESMC controller utilizes an exponential approaching law, resulting in a 1.16% reduction in velocity RMSE and a 21.71% decrease in acceleration oscillations compared to conventional methods. …”
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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

“…Recognising these issues, I independently developed a SharePoint-integrated Excel system to address these problems. 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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Multi-Index Assessment and Machine Learning Integration for Drought Monitoring Using Google Earth Engine by Xulong Duan, Rana Waqar Aslam, Syed Ali Asad Naqvi, Dmitry E. Kucher, Zohaib Afzal, Danish Raza, Rana Muhammad Zulqarnain, Yahia Said

“…Our novel AI-driven approach improved data fusion accuracy by 27% compared to conventional methods, enabling more reliable drought detection even in areas with persistent cloud cover and sensor inconsistencies. …”
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The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study by Jin Yong Kim, Vincent D Marshall, Brigid Rowell, Qiyuan Chen, Yifan Zheng, John D Lee, Raed Al Kontar, Corey Lester, Xi Jessie Yang

“…A pronounced “negativity bias” was observed, where the degree of trust reduction when the AI made an error exceeded the trust gain when the AI made a correct decision (z=–11.30; P<.001). …”
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Study of Thermodynamic Horizontal Structure of the Middle and Upper Atmosphere Based on Atmospheric Detection Lidar Networks by Liting Ren, Yong Yang, Linmei Liu, Xin Lin, Jinzhou Zheng, Wei Wang, Jiaming Liang, Yuan Xia, Jiqin Wang, Kaijie Ji, Zhenwei Chen, Yuqi Zhang, Xuewu Cheng, Faquan Li

“…The assimilated temperature profiles closely match lidar observations, with the RMSE (root mean square error) of residual reductions of 67.35% at Urumqi, 60.69% at Yuzhong, and 34.80% at Yangbajing. …”
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Research on step-by-step visual servo control system of anchor drilling robot by Mengyu LEI, Xuhui ZHANG, Wenjuan YANG, Jicheng WAN, Yuyang DU, Henghan YU, Chenhui TIAN

“…Finally, an experimental platform was established to validate the proposed methods under laboratory conditions. Test results demonstrate average positioning errors of 7.5, 7.8, and 8.1 mm in X, Y, and Z axes respectively, with the step-by-step control approach successfully achieving both coarse positioning and fine alignment. …”
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Model Predictive Control-Based Energy Management System for Cooperative Optimization of Grid-Connected Microgrids by Sungmin Lim, Jaekyu Lee, Sangyub Lee

“…The effectiveness of the proposed method was validated through a series of case studies. …”
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Multiresponse Optimization of Wire Electrical Discharge Machining Parameters for Ti-6Al-2Sn-4Zr-2Mo (α-β) Alloy Using Taguchi-Grey Relational Approach by A. Perumal, C. Kailasanathan, Balasubramaniam Stalin, S. Suresh Kumar, P. R. Rajkumar, T. Gangadharan, G. Venkatesan, N. Nagaprasad, V. Dhinakaran, Ramaswamy Krishnaraj

“…The Ti-6Al-2Sn-4Zr-2Mo alloy was machined using the wire electrical discharge machining (WEDM) method in this research. The consequences of input values like pulse on duration, wire tension, and wire feed on metal removal rate (MRR) and surface roughness (SR) have indeed been observed. …”
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