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2341
Prevalence of loneliness and associated factors among older adults at Yilmana Densa District, West Gojjam Zone Amhara region, Ethiopia
Published 2025-05-01“…A binary logistic regression analysis was conducted. Variables with a p-value < 0.20 in the Bivariable analysis were entered into multivariable regression and variables with a p-value < 0.05, with a 95% confidence interval (CI) were considered statistically significant.ResultsA total of 840 older adults took part with a 99.2% response rate. …”
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2342
Effect of Matrix and Source of Quality Specification Data on the Sigma Metrics of Common Chemistry Analytes in Clinical Laboratory
Published 2023-01-01“…The cumulative CV and bias were obtained using unity real-time software from Bio-Rad Laboratories. Total allowable error values were obtained from BV and CLIA guidelines. …”
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2343
Using Cosmic-Ray Neutron Probes to Monitor Landscape Scale Soil Water Content in Mixed Land Use Agricultural Systems
Published 2016-01-01“…With an ever-increasing demand for natural resources and the societal need to understand and predict natural disasters, soil water content (SWC) observations remain a critical variable to monitor in order to optimally allocate resources, establish early warning systems, and improve weather forecasts. …”
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2344
Predictive analysis of dominant hand grip strength among young children aged 6–15 years using machine learning techniques: a decision tree and regression analysis
Published 2025-03-01“…Backward regression was found to be the best model for predicting female hand grip strength. The R2 value for the model was 0.6646 and the significant variables were body mass index (BMI), hand length, hand span, and palm length, showing significance at a p-value of ≤0.05. …”
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2345
Record-breaking persistent high-pressure systems fueled unprecedented Canadian wildfire disasters in 2023
Published 2025-01-01“…This unprecedented fire activity was fueled by record-breaking, persistent high-pressure systems, with both their frequency and intensities surpassing 3 STD, along with variable winds. These abnormal atmospheric patterns exacerbated dry conditions, reduced cloud cover, and increased surface solar radiation, driving record-high temperatures and FWI values, all exceeding ±3 STD. …”
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2346
Machine-Learning-Assisted Aroma Profile Prediction in Five Different Quality Grades of Nongxiangxing Baijiu Fermented During Summer Using Sensory Evaluation Combined with GC×GC–TOF...
Published 2025-05-01“…Principal component analysis (PCA) combined with orthogonal partial least squares discriminant analysis (OPLS-DA) enabled us to distinguish different samples, with eight VOCs emerging as primary contributors to the aroma of the samples, possessing variable importance in projection (VIP) values > 1. …”
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2347
Zn-Al layered double hydroxide nanoparticles for efficient removal of food dyes from wastewater
Published 2024-01-01“…The effects of various variables on adsorption were studied. The obtained results show that the adsorption of various food dyes depends on the initial concentration, dose, pH, contact time, and temperature. …”
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2348
Analysis of vibration evolution and propagation characteristics due to mechanical degradation in transformer iron cores
Published 2025-06-01“…However, measurement point #5 (located away from the upper yoke near the windings) demonstrates a value about 2.3 times that of the internal upper yoke. …”
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2349
Comparison of Physical Fitness and Mental Health among Transgenders and Cisgenders: A Cross-sectional Study
Published 2024-12-01“…Statistical analysis was conducted using one-way Analysis of Variance (ANOVA) with Bonferroni correction for numerical variables. A p-value of <0.05 was considered statistically significant. …”
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2350
Disrespectful care towards mothers giving birth at selected hospital in Kigali/Rwanda
Published 2025-07-01“…However, after adjusting for other variables, this association was no longer statistically significant, as reflected by an adjusted odds ratio with P-value of 0.061. …”
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2351
Estimation of Total Suspended Solids Concentration in Streams Using Regression and Artificial Neural Networks Methods
Published 2023-01-01“…Two models with different combinations of independent variables were established. In the first model (M1), only the TSS values, and in the other model (M2), the month and week information of the sampling dates were digitized and used as independent variables, in addition to the TSS values. …”
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2352
Advanced Hydro-Informatic Modeling Through Feedforward Neural Network, Federated Learning, and Explainable AI for Enhancing Flood Prediction
Published 2025-01-01“…The results showed that the best-performing FNN model achieved an R-squared value of 0.96, a Mean Absolute Error (MAE) value of 0.02, Percent bias (PBIAS) value of 0.4185 and lower Root Mean Square Error (RMSE) in the FL environment. …”
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2353
Future high-voltage-direct-current cable supply and demand as a potential threat to the European Union's energy transition
Published 2025-09-01“…Metal availability and regulatory framework impact the timely development of the HVDC connections that will be necessary for the energy transition in Europe.…”
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2354
Transportation Severity Analysis of Factors Contributing to Two-Vehicle Road Crashes Based on Interpretability Theory
Published 2024-01-01“…Season, Vehicle type and Crash time were identified as important features in most traffic scenarios, with the likelihood of fatal injury increasing when the values were Winter, SUV and Evening peak respectively. …”
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2355
Breath‐by‐breath measurement of alveolar gas exchange must preserve mass balance and conform to a physiological definition of a breath
Published 2025-06-01“…Specifically, it defines a single breathing cycle as the time between equal values of the FO2/FN2 (or FCO2/FN2) ratio, that is, the ratio of fractional concentrations of lung‐expired O2 (or CO2) and nitrogen (N2). …”
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2356
An efficient parallel runoff forecasting model for capturing global and local feature information
Published 2025-04-01“…Additionally, due to the opacity in feature distribution processes of AI models, SHAP (Shapley Additive exPlanations) analysis was used to evaluate the contribution of each feature variable to long-term runoff trends. The proposed PCPFN model, during parallel computation, not only utilizes the intrinsic features of sequences and efficiently handles the distribution of local and global features but also shares predictive information in the output module, achieving accurate runoff forecasting and providing crucial references for timely warning and forecasting.…”
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2357
Compressive strength of nano concrete materials under elevated temperatures using machine learning
Published 2024-10-01“…Additionally, sensitivity analysis via neural networks weights and SHAP investigation were performed to reveals the impact and relationship of the input variables with the output variables. Both techniques reveal that temperature degree and time of exposure had the highest positive impact on RCS value, followed by NAl and NCTs, in order.…”
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2358
Free fatty acids level may effect a residual insulin secretion in type 1 diabetes
Published 2011-03-01“…29.4 vs. 28.9±23.1 mg/dl; p=0.0003). However, both values were positively correlated (r=0.31; p=0.0008). …”
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2359
Acid-Activated Biochar for Efficient Elimination of Amoxicillin From Wastewater
Published 2024-01-01“…The biochar was activated with HNO3 for 2 h at 25°C and investigated under varying experimental conditions of pH (1–11), initial amoxicillin concentration (0.5–2.5 mg/L), adsorbent dosage (2–20 mg) and contact time (0–24 h). The adsorption process was characterized by rapid attainment of adsorption equilibrium and high values of adsorption capacity. …”
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2360
Prognostic model of total runoff and its components from a partially urbanized small lowland catchment
Published 2018-09-01“…It works with a one-hour time interval. The input is total precipitation and reference evapotranspiration. …”
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