Predictive models for the surface roughness and subsurface damage depth of semiconductor materials in precision grinding by Shang Gao, Haoxiang Wang, Han Huang, Zhigang Dong, Renke Kang

“…The models were validated through systematic experiments on three different semiconductor materials, demonstrating excellent agreement with experimental data, with prediction errors of 6.3% for surface roughness and 6.9% for SDD. …”
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High-throughput method for improving rice AGB estimation based on UAV multi-source remote sensing image feature fusion and ensemble learning by Jinpeng Li, Jinpeng Li, Jinxuan Li, Jinxuan Li, Dongxue Zhao, Dongxue Zhao, Qiang Cao, Qiang Cao, Fenghua Yu, Fenghua Yu, Fenghua Yu, Yingli Cao, Yingli Cao, Yingli Cao, Shuai Feng, Shuai Feng, Shuai Feng, Tongyu Xu, Tongyu Xu, Tongyu Xu

“…Feature selection combined statistical analysis and modeling techniques, with collinearity removed through the Variance Inflation Factor (VIF). …”
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Implementing Learning from Excellence in a postanaesthesia care unit: a qualitative study of healthcare professionals’ experiences after six months by Gørill Birkeli, Ellen Catharina Tveter Deilkås, Randi Ballangrud, Anne Karin Lindahl

“…Six semi-structured focus group interviews were conducted, from May to June 2023, with a convenience sample of nurses (n = 17) and physicians (n = 7). The data were analysed through inductive reflexive thematic analysis. …”
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Validation and comparison of two methods to assess human energy expenditure during free-living activities. by Panagiota Anastasopoulou, Mirnes Tubic, Steffen Schmidt, Rainer Neumann, Alexander Woll, Sascha Härtel

“…The errors for move II were smaller than those for GT3X for all activities. …”
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Research on water body information extraction and monitoring in high water table mining areas based on Google Earth Engine by Anya Zhong, Zhen Wang, Yulong Gen

“…An Improved Normalized Difference Water Index (INDWI) was proposed based on the analysis of spectral characteristics of surface objects, in conjunction with the OTSU algorithm. …”
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Reproducibility of peak force for isometric and isokinetic multi-joint leg extension exercise by Manfred Zöger, Alfred Nimmerichter, Arnold Baca, Klaus Wirth

“…The first session served as the familiarization session. Statistical analysis included paired sample t-tests, Cohen’s d effect sizes, intraclass correlation coefficients (ICC), standard errors of measurement (SEM), and Bland-Altman calculations, including corresponding plots. …”
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Job Demands and Resources Perceived by Dentists in a Digital Dental Workplace and Perceived Effects on Job Satisfaction and Stress: A Qualitative Study by Julia Sofie Gebhardt, Volker Harth, David A. Groneberg, Stefanie Mache

“…A total of 30 interviews were conducted with dentists from various German dental practices, with a focus on key topics such as job demands, job resources, digital stress factors, job satisfaction, and support needs in the context of digital dentistry. The interview data were analysed using qualitative content analysis. …”
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Conceptualizing Clinicians’ Trust in Artificial Intelligence as a Function of Their Expertise, Workload, Patient Outcome, Diagnosis Difficulty, and AI Accuracy: A Systems Th... by Hamid Shamszare, Zaira Chaudhry, Manijeh Berenji, Avishek Choudhury

“…This may be attributed to their enhanced ability to detect AI errors, allowing for more calibrated and resilient trust. …”
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Optimization design and experiment of key components of mountain pendulum-lever cam type hole seeders based on DEM-MBD coupling simulation. by Lijun Zhao, Wenke Yin, Bin Yang, Xin Hu, Chuandong Liu, Zihuan Li, Lian Gong, Qiang Li, Bin Li, Shang Li

“…A three-factor, three-level orthogonal rotation combination simulation experiment was designed to derive a mathematical model of the relationship between test factors and indicators. Data analysis was performed using Design-Expert 13 soft-ware to optimize the regression model for multiple objectives and obtain the optimal parameter combination. …”
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Beyond illness: how chronic conditions and unhealthy behaviors impact health-related quality of life among Iranian women by Satar Rezaei

“…Given that the dependent variables (EQ-5D utility values and EQ-VAS scores) were not normally distributed and heteroscedasticity was detected, multivariable regression analyses were performed using a generalized linear model (GLM) with robust standard errors, adjusted age, marital status, level of education, place of birth, province, and self-assessed household economic status. …”
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TEMPORO-MANDIBULAR JOINT. THE FEATURES OF FUNCTIONAL ANATOMY AND HISTOLOGICAL STRUCTURE DURING THE DYSFUNCTION OF TMJ by L.I. Shkilniak, A.A. Zalyziuk-Krapivna

“… The question of structural organization, function and diagnosis of the diseases of temporomandibular joint (TMJ) has attracted the attention of various specialists for a long time. To date, there is no data about morphological and functional status of tissues and organs of maxillofacial region during the TMJ dysfunction and different defects, accompanied by a decrease in the height of the lower third of the face. …”
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Shaping ability of NiTi reciprocating file systems R-motion and waveOne gold in mesial canals of mandibular molars; micro CT study by Mona Alsulaiman, Loai Alsofi, Mey A. Alhabib

“…Micro-CT analysis demonstrated comparable untouched canal surface areas and changes in surface area and volume between both RM and WG systems. …”
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Dynamics Modeling and Control Method for Non-Cooperative Target Capture with a Space Netted Pocket System by Wenyu Wang, Huibo Zhang, Jinming Yao, Wenbo Li, Zhuoran Huang, Chao Tang, Yang Zhao

“…By incorporating the collision estimation data, an extended state observer is designed, taking into account the collision estimation errors and the flexible uncertainties. …”
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Efficacy of Reciproc® and Profile® Instruments in the Removal of Gutta-Percha from Straight and Curved Root Canals ex Vivo by Karem Marfisi, Montserrat Mercadé, Gianluca Plotino, Tatiana Clavel, Fernando Duran-Sindreu, Miguel Roig

“…Material and Methods: Forty mesial roots of mandibular molars with two curved canals and 80 single-rooted teeth with straight root canals, a total of 160 root canals, were randomly assigned to eight groups (canals per group = 20) according to filling technique, retreatment instrument and root canal curvature as follows: Group I, cold lateral condensation/ProFile®/straight; Group II, cold lateral condensation/ProFile®/curved; Group III, cold lateral condensation/Reciproc®/straight; Group IV, cold lateral condensation/Reciproc®/curved; Group V, GuttaMaster®/ProFile®/straight; Group VI, GuttaMaster®/ProFile®/curved; Group VII, GuttaMaster®/Reciproc®/straight; and Group VIII, GuttaMaster®/Reciproc®/curved. The following data were recorded: procedural errors, retreatment duration and canal wall cleanliness. …”
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Evaluation of the Costs and Consequences of Implementing an Optimization Process for Low-Complexity Emergency Care: The LINEA Program by German Devia-Jaramillo, Nathalia Esmeral-Zuluaga, Juan Pablo Vargas-Gallo, Rafael Alfonso-Cristancho

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Leveraging Artificial Neural Networks for Real-Time Speech Recognition in Voice-Activated Systems by Kumar V Suresh, B Raveendra Nadh, S Sureshkumar, Suresh Kumar Anisetty, S R Arun Raj, G Sheeba

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Color-Based Lifetime Estimation of LEDs Using Spectral Power Distribution Prediction Through Analytical and Machine Learning Models by J. Lokesh, Savitha G. Kini, M. G. Mahesha, Anjan N. Padmasali

“…Conventional methods estimate LED lifetime using lumen data and an exponential model, which are suitable for lumen-based evaluations but inadequate for applications where color stability is equally critical. …”
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Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images by K. Lakshmi, Sibi Amaran, G. Subbulakshmi, S. Padmini, Gyanenedra Prasad Joshi, Woong Cho

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Socioeconomic status and sleep duration among a representative, cross-sectional sample of US adults by Sarah Wetzel, Usama Bilal

“…SES was operationalized using three indicators: poverty-income ratio, educational attainment, and food security status. We imputed missing data for socioeconomic status and outcome variables using multiple imputation. …”
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Anti-Collision Path Planning and Tracking of Autonomous Vehicle Based on Optimized Artificial Potential Field and Discrete LQR Algorithm by Chaoxia Zhang, Zhihao Chen, Xingjiao Li, Ting Zhao

“…The refined APF method enhances path safety, smoothness, and stability. Experimental data across three speeds reveal reasonable steering angle and lateral deflection angle variations. …”
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