The application of quality control circle in improving the accuracy of ICD coding on medical records by Wenjing Ou, Peiyan Chang, Jinghua Zhou, Zhiqiang Zhou, Mingfang Jiang, Chao Wu

“…Results A follow-up examination of the coding on the first page of 4,489 inpatient cases discharged in July 2024 revealed a significant reduction in the overall error rate, from 7.02% before the intervention to 2.90% afterward (χ²=81.791, P < 0.001). …”
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Automatic target spraying and field evaluation of unstructured orchard based on millimeter-wave radar by Xing Xu, Jianying Li, Dongying Shen, Jieli Duan, Zhou Yang, Yinlong Jiang

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Suicidal ideation and thoughts of self-harm during the COVID-19 pandemic among Swedish employees: a cohort study on the role of job instability and job insecurity by Sandra Blomqvist, Hugo Westerlund, Linda L. Magnusson Hanson

“…Logistic regression models with cluster-robust standard errors were fitted, including sociodemographic factors and prior mental health problems to control for potential confounding. …”
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Design and implementation of a cost-effective, safe, and precise lean-rich generating system for the evaluation of NOX storage reduction catalysts: performance analysis, statistica... by Javad Sajedifar, Seyyed Bagher Mortazavi, Hasan Asilian Mahabadi, Ali Khavanin, Mohammad Sharif Hosseini

“…Mixing is a critical factor in chemical reaction engineering, particularly in the development of new catalysts for pollutant removal, such as NOx storage reduction catalysts. Comprehensive performance evaluation in laboratory experiments requires high-quality test gases. …”
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Intelligent Feature Selection Ensemble Model for Price Prediction in Real Estate Markets by Daniel Cristóbal Andrade-Girón, William Joel Marin-Rodriguez, Marcelo Gumercindo Zuñiga-Rojas

“…The results indicate that the Stacking model achieved the best performance with an MAE (mean absolute error) of 14,090, MSE (mean squared error) of 5.338 × 10⁸, RMSE (root mean square error) of 23,100, R² of 0.924, and a Concordance Correlation Coefficient (CCC) of 0.960, also demonstrating notable computational efficiency with a time of 67.23 s. …”
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Application of data visualization technology in human resource management and employee resignation prediction by Xue Wang, Nannan Huang

“…The research model was significantly better than Naive Bayes, logistic regression, and gradient boosting tree models in core indicators such as error rate (maximum reduction of 14.89 %) and accuracy. …”
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Establishing a generalized model for accurate prediction of higher heating values of substances with large ash fractions by Peng Jiang, Lin Li, Han Lin, Tuo Ji, Liwen Mu, Yuanhui Ji, Xiaohua Lu, Jiahua Zhu

“…Furthermore, the accuracy was compared to previous literature in terms of correlation coefficient (R2), root mean square error (RMSE), and mean absolute error (MAE). Results revealed that this model provided attractive accuracy with R2 = 0.854, RMSE = 0.900, and MAE = 0.773 within a wide range of ash content from 0 to 83.32 wt%. …”
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Multimodal Cancellable Biometric Template Protection and Person Verification in Transformed Domain by Devendra Reddy Rachapalli, Venkatesulu Dondeti, Hemantha Kumar Kalluri

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Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis by Javad Shirani Shamsabadi, Saeid Ansari Mahyari, Mostafa Ghaderi-Zefrehei

“…The aim of this study was to compare the performance of three adaptive neuro-fuzzy inference systems (ANFIS) classification methodologies in classifying mastitis in Holstein dairy cattle: gradient descent (GD)-based ANFIS (GD-ANIFIS), particle swarm optimization (PSO)-based ANFIS (PSO-ANFIS) and genetic algorithm (GA)-based ANFIS (GA-ANFIS). Two feature reduction techniques were used to reduce data dimensions and improve model performance: Pearson correlation and principal component analysis. …”
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Contact Analysis and Tooth Profile Optimization Design of Rack and Pinion for Rack-rail Trains Based on the Finite-length Line Contact Theory by Lei Huanhuan, Zhao Jiadong, Zhi Yanfeng, Shi Lubing, Zhao Yukai, Yue Zihao

“…The intrinsic mechanism of the meshing center distance error is the reduction of the load carrying area at the same load level, and the intrinsic mechanism of the axial non-parallelism error is the greater deformation produced by the rack and pinion taking the lead in contact on the inside of the curve. …”
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Performance Evaluation of Uplink Cell-Free Massive MIMO Network Under Weichselberger Rician Fading Channel by Birhanu Dessie, Javed Shaikh, Georgi Iliev, Maria Nenova, Umar Syed, K. Kiran Kumar

“…One of the high-performance channel estimators is a phase-aware minimum mean square error (MMSE) estimator. This channel estimator has high computational complexity. …”
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Satellite-derived land surface temperature spatial sharpening: A comprehensive review on current status and perspectives by Mohammad Karimi Firozjaei, Majid Kiavarz, Seyed Kazem Alavipanah

“…The purpose of this study is to comprehensively review of Satellite-derived Land Surface Temperature Spatial Sharpening (SLSTSS) studies and provide appropriate solutions to error reduction in SLSTSS presses. Firstly, the initial search was done for the related keywords to SLSTSS, and 391 papers were found over the period 1985 to 2020. …”
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Study on the Key Technology of Image Transmission Mechanism Based on Channel Coding Ghost Imaging by Leihong Zhang, Ye Hualong, Dawei Zhang

“…&#x00A0;It solves problems such as insufficient feasibility, low reduction degree, long imaging time of current imaging algorithm, and so on.…”
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Meta-analysis: a tool for constructing theories or evaluating interventions or simply proving everyday assumptions? by Erich H. Witte, Ivo Ponocny

“…Further development of this tool into a meta-analysis 3.0 is necessary for this purpose which requires the validity of the independent variables in the primary studies, the reduction of the error variance of the dependent variables, a stability of the effects over the primary studies and a quantitative comparison between observed and predicted effects in the primary studies. …”
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A Multipath Hemispherical Map with Strict Quality Control for Multipath Mitigation by Houxiang Zhou, Xiaoya Wang, Shengjian Zhong, Kewei Xi, Hang Shen

“…A multipath hemispherical map (MHM) is a popular approach to achieving real-time multipath error mitigation. The premise of the constructed MHM model is that the residuals in the grid only contain multipath errors and noise without any outliers. …”
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Reversible data hiding scheme based on enhanced image smoothness by Jinghan WANG, Hui ZHU, Helin LI, Hui LI, Xiaopeng YANG

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High-Contrast Imaging: Hide and Seek with Exoplanets by Riccardo Claudi, Dino Mesa

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Overhead Transmission Line Modeling Strategies for EMT-Based Traveling-Wave Analysis and Fault Location by Adrian Wilmer Diaz Sarmiento, Jaimis Sajid Leon Colqui, Jose Pissolato Filho

“…The study examines five critical modeling aspects: soil resistivity representation, shield wire inclusion and Kron reduction, modal decomposition techniques, fault location accuracy, and tower grounding representation. …”
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Hybridization and Optimization of Bio and Nature-Inspired Metaheuristic Techniques of Beacon Nodes Scheduling for Localization in Underwater IoT Networks by Umar Draz, Tariq Ali, Sana Yasin, Muhammad Hasanain Chaudary, Muhammad Ayaz, El-Hadi M. Aggoune, Isha Yasin

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Reduced-order modeling of lattice structures through iterative beam fitting and static mesoscale projection by Nicolas Grünfelder, Manmit Padhy, Alaa Armiti-Juber, Seyed Morteza Seyedpour, Navina Waschinsky, Tim Ricken

“…This reduction in model complexity is accompanied by a local fitting process of the individual unit cells, also referred to as the mesoscale, that mitigates the errors typically introduced by the simplified beam representation. …”
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