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Correlation Between the Morphological Profile of Patients and Temporomandibular Disorders: Analysis of Data Derived from Low-Dose C.B.C.T.
Published 2024-11-01“…This study aimed to identify the morphological profiles and skeletal malocclusions that most significantly influence the development of TMDs. Materials and Methods: The analysis was performed using cephalometric data from patients undergoing low-dose cone-beam computed tomography (CBCT) at the Orthodontics Department of Gabriele D’Annunzio University. …”
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Assimilation of Moderate-Resolution Imaging Spectroradiometer Level Two Cloud Products for Typhoon Analysis and Prediction
Published 2025-05-01“…Its impact on the analysis and forecast of Typhoon Talim in 2023 at its initial developing stage is demonstrated. …”
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Gamifying Sociological Surveys Through Serious Games—A Data Analysis Approach Applied to Multiple-Choice Question Responses Datasets
Published 2025-06-01“…This article presents the data layer of our game’s middleware, specifically focusing on data analysis based on respondents’ gameplay answers. …”
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Determination of Superior Commodities For The Development of Small and Medium Industries in Kampar Regency
Published 2024-06-01Get full text
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Economic burden of breast cancer in Chinese women: analysis o from 2016 to 2018 using national health insurance data
Published 2025-02-01“…However, studies focusing on the cost of treatment and the economic burden of female breast cancer patients in China were conducted within specific provinces, cities, or hospitals, and there lacks a comprehensive analysis of total treatment cost. This study aimed to analyze the costs associated with female breast cancer patients in China using data from the China Health Insurance Research Association (CHIRA) and to explore the factors influencing costs. …”
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Differential Dynamics of Transit Use Resilience During the COVID-19 Pandemic Using Multivariate Two-Dimensional Functional Data Analysis
Published 2024-01-01“…The approach employed multivariate two-dimensional functional data analysis and a hierarchical clustering method to examine both boarding and alighting patterns, taking into account multi-scalar temporal units, monthly and hourly demand fluctuations. …”
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The Impact of Normalization Procedures on Surface Electromyography (sEMG) Data Integrity: A Study of Bicep and Tricep Muscle Signal Analysis
Published 2025-04-01“…Specifically, while SMVC, MVC, and RVC methods exhibited generally superior performance in normalizing bicep and tricep signals, the optimal method varied depending on the task and muscle, providing consistent and reliable data for biomechanical analysis. These results underscore the importance of selecting appropriate normalization techniques to improve the accuracy of sEMG-based assessments in clinical and sports biomechanics, contributing to the development of more effective rehabilitation protocols and performance enhancement strategies.…”
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Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in Korea.
Published 2025-01-01“…Second, the monthly frequency of CPI data results in a relatively sparse time series, limiting the performance of the analysis. …”
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Geospatial Analysis of Urban Expansion Using Remote Sensing Methods and Data: A Case Study of Yangtze River Delta, China
Published 2020-01-01“…Then, these images were overlain with economic and physical geographical data to analyze the urban spatial expansion pattern and its physical constraints and socioeconomic influence factors by employing a combination of transition matrix analysis, expansion intensity indices, and equal-fan analysis. …”
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Cgmquantify: Python and R Software Packages for Comprehensive Analysis of Interstitial Glucose and Glycemic Variability from Continuous Glucose Monitor Data
Published 2021-01-01“…The primary goal of this work is to present a software resource for systematic, reproducible, and comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data. …”
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