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1161
Association between Oral Health Status and Diabetic Nephropathy-Related Indices in Japanese Middle-Aged Men
Published 2020-01-01“…Logistic regression analysis using eGFR as a dependent variable and age, CPI score, body mass index, HbA1c, and neutral fat as independent variables suggested that low eGFR (<60) could be attributed to CPI score (OR=3.169, 95% CI: 1.031–9.742, p=0.044). …”
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1162
Fuzzy volume fraction model representation of blood-based sisko tri-hybrid nanofluid flow via a stretching cylinder
Published 2025-09-01“…The triangular membership function (TMF) is utilized to analyze the variability of uncertainty, while the α− cut is responsible for controlling the TFNs. …”
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1163
Association between weight-bearing ankle dorsiflexion range of motion during deep squat sitting and quality of life after ankle fracture surgery: a cross-sectional study
Published 2025-08-01“…Multivariate analysis was performed using the four subscales of the SAFE-Q (pain and pain-related, physical functioning and daily living, social functioning, and general health and well-being) as dependent variables.ResultsThe multivariate analysis revealed that weight-bearing ankle dorsiflexion ROM during deep squat sitting was an independent variable for pain and pain-related [standardized partial regression coefficient (β) = 0.584, P < 0.001], physical functioning and daily living (β = 0.376; P = 0.006), social functioning (β = 0.317; P = 0.045), and general health and well-being (β = 0.483; P = 0.005). …”
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1164
Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis
Published 2025-06-01“…Principal Component analysis further highlighted five clusters of health-related variables, identifying age-related metabolic indicators (AGE, HbA1c, BMI), kidney function markers (creatinine (Cr), Urea), cardiovascular lipid profiles (Cholesterol, LDL), lipid transport (VLDL), and protective cardiovascular indicator (HDL). …”
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1165
Correlation of magnetic resonance imaging parameters with montreal cognitive assessment-Indonesian (MOCA-INA) score in dementia patients at Prof. Dr. IGNG Ngoerah General Hospital,...
Published 2025-03-01“…Correlation between variables was evaluated based on the correlation coefficient, which indicates the direction and strength of the correlation. …”
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1166
An Analytical Solution for Natural Frequencies of Elastically Supported Stepped Beams with Rigid Segments
Published 2025-02-01“…After deriving the transverse displacement functions by means of using the separation-of-variables technique, the frequency equation was found by setting the determinant of the coefficient matrix to zero. …”
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1167
Exploring restoration efforts from a social lens: statistical models reveal relationships between salmon habitat restoration efforts and ecological and social characteristics of th...
Published 2024-12-01“…We specified statistical models to explain the variation in the number of restoration worksites undertaken in subwatersheds as a function of environmental and social variables. Using a common set of explanatory variables, we fit four models to examine the distribution of worksites associated with particular types of restoration actions (instream, riparian, land acquisition, and fish passage) and a fifth model to examine the distribution of all aquatic-based restoration worksites across action types. …”
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1168
Bifurcations of Spatially Inhomogeneous Solutions of a Boundary Value Problem for the Generalized Kuramoto–Syvashinsky Equation
Published 2017-10-01“…In this paper, a differential partial equation with an unknown function of three variables time and two spatial variables – is considered. …”
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1169
Predictor Importance for Hydrological Fluxes of Global Hydrological and Land Surface Models
Published 2024-09-01“…We analyzed the JULES, ORCHIDEE, HTESSEL, SURFEX, and PCR‐GLOBWB models for the relative importance of precipitation, climate, soil, land cover and topographic slope as predictors of simulated average evaporation, runoff, and surface and subsurface runoff. RF models functioned as a metamodel and could reproduce GHM/LSMs outputs with a coefficient of determination (R2) over 0.85 in all cases and often considerably better. …”
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1170
Modeling of Ozone Interactions with Various Air Pollutants and Meteorological Factors Using Jaya and Teaching-Learning Based Optimization (TLBO) Algorithms
Published 2020-07-01“…In conclusion, it is shown that Jaya and TLBO algorithms can be used in the optimization of the regression function coefficients in modelling some air pollutants interactions and the best-fit equation for each parameter is obtained from the quadratic function.…”
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1171
Promoting Social Participation in the Primary Care Field: An Ecological Study on the Potential Reduction of Multimorbidity Prevalence
Published 2024-10-01“…Multiple regression analysis was performed with MP as objective variable; social participation or household income were explanatory variables, and education, population density, and health check-ups were adjustment variables. …”
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1172
The reproducibility of 31-phosphorus MRS measures of muscle energetics at 3 Tesla in trained men.
Published 2012-01-01“…Estimates of mitochondrial function were variable, but experimentally useful. …”
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1173
Elastic Stress and Plastic Zone Distributions around a Deeply Buried Tunnel under the Nonhydrostatic Pressure
Published 2022-01-01“…Based on Muskhelishvili’s complex variable function, the analytical solution for the elastic stress around a deeply buried noncircular tunnel under the nonhydrostatic pressure is firstly derived. …”
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1174
带传动软启动装置蜗杆的优化设计
Published 2011-01-01“…By the mechanical analysis of the belt drives soft-start equipment,tow-objective function is established with the worm axial modulus and spiral angle as the independent variables.Based on self-locking constraint and fuzzy constraint conditions,constraint subset is established.Compared with the general design parameters,the rustle shows that the spiral angle is increased and the worm axial modulus is decreased.The test shows that the optimize design effectively improve the transmission efficiency,and reduce the minimum power of the speed adjustment motor.…”
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1175
Revolutionizing proton exchange membrane fuel cell modeling through hybrid aquila optimizer and arithmetic algorithm optimization
Published 2025-02-01“…These parameters function as decision variables, and the objective function aimed for minimization is the sum square error (SSE) between the predicted and actual measured cell voltages. …”
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1176
Associations between patient characteristics and five-year trajectories of anticholinergic drug burden in older adults in German primary care: a prospective observational cohort st...
Published 2025-06-01“…Independent variables included age, sex, education (according to CASMIN), depressiveness (GDS), cognitive function (LDST), quality of life (EQ5D-3L) and the number of diseases weighted by severity. …”
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1177
Impact of Product, Process, Organisational, and Marketing Innovation on Micro, Small and Medium Scale Enterprises' Sustainability
Published 2025-06-01“…Objective: This study aimed to investigate how innovation, sustainability, and performance function as moderators in Micro, Small, and Medium-Scale Enterprises (MSMES). …”
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1178
A Combined Approach to Solving Applied Metal Forming Problems
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1179
Intelligent wearable devices with audio collection capabilities to assess chronic obstructive pulmonary disease severity
Published 2025-03-01“…A logistic regression model using the RR and blowing sounds as key predictors achieved accuracies of 0.77–0.89 in determining the GOLD grade, with a Cohen's kappa coefficient of 0.6757. Conclusions Audio data were more strongly correlated with lung function in COPD patients than were physiological parameters. …”
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1180
A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures
Published 2025-06-01“…Sensitivity analysis identified the ultimate adiabatic temperature rise as the dominant parameter (78% variance contribution), followed by synergistic interactions between hydration rate parameters, and indirect coupling effects of boundary correction coefficients. These findings guided a phased optimization strategy, as follows: prioritizing high-precision calibration of dominant parameters while relaxing constraints on low-sensitivity variables, thereby balancing accuracy and computational efficiency. …”
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