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961
Assessing Prevention Priorities in French Family Caregivers of the Elderly at Risk of Loss of Autonomy: Results from a Community Intervention on Diet
Published 2024-02-01“…Data were analyzed using descriptive statistics and hierarchical cluster analysis with SPSS 28. …”
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962
Deep Learning Model for Prediction of Dementia Severity based on EEG Signals
Published 2024-12-01“…Conventional filters including notch and bandpass filters were utilised to remove noise from the EEG data. The proposed method comprises computing the estimates of the attention entropy (AttEn), bubble entropy (BubbEn) and symbolic dynamic entropy (SyDyEn) of univariate data sequence features. …”
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963
A novel ensemble ARIMA‐LSTM approach for evaluating COVID‐19 cases and future outbreak preparedness
Published 2024-12-01“…Methods The proposed approach combines auto‐regressive integrated moving average (ARIMA)'s ability to capture linear trends and seasonality with long short‐term memory (LSTM) networks, which are designed to learn complex nonlinear dependencies in the data. …”
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964
Daily-Scale Fire Risk Assessment for Eastern Mongolian Grasslands by Integrating Multi-Source Remote Sensing and Machine Learning
Published 2025-07-01“…Utilizing fire point data from eastern Mongolia (2012–2022), we fused multiple feature variables and developed and optimized three models: random forest (RF), XGBoost, and deep neural network (DNN). …”
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965
Investigating the Relationship between Air Pollutants and Meteorological Parameters in the Agricultural Sector of Mazandaran Province Using Logistic Regression
Published 2021-02-01“…In this study, meteorological data from Ramsar, Amol, Babolsar and Nowshahr stations and air pollution data from Gulogah, Ghaemshahr, Sari and Kiasar stations were received daily in the second half of 2017 and 2018, the average of which has been used in data analysis. …”
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966
Cross-Receiver Radio Frequency Fingerprint Identification: A Source-Free Adaptation Approach
Published 2025-07-01“…By incorporating a three-pronged loss function strategy—minimizing information entropy loss, implementing pseudo-label self-supervised loss, and leveraging contrastive learning loss—CSCNet effectively captures the relationships between signal samples, enhancing recognition accuracy and robustness, thereby directly mitigating the impact of receiver variations and the absence of source data. Our theoretical analysis provides a solid foundation for the generalization performance of SCRFFI, which is corroborated by extensive experiments on real-world datasets, where under realistic noise and channel conditions, that CSCNet significantly improves recognition accuracy and robustness, achieving an average improvement of at least 13% over existing methods and, notably, a 47% increase in specific challenging cross-receiver adaptation tasks.…”
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967
Evaluation of Morphometric Factors on the Distribution of Debris: A Case Study on the Attica Ripples on the South of Paveh- Kermanshah Province, Iran
Published 2018-02-01“…The comparison of the average parameters of each limitation to the analysis of variance was done. …”
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968
Facing the pandemic aftermath: exploring depression and mental health service usage among first-year university students in southern Thailand
Published 2025-08-01“…Descriptive statistics and logistic regression analysis were performed for data analysis.ResultsA total of 1,611 students participated in the study, 80.3% of whom were female, with an age range of 18–20 years (mean: 19.4, SD: 1.12). …”
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969
Consideration of the temperature factor of atmospheric air when determining standard consumption of fuel and energy resources for train traction
Published 2018-12-01“…Specialists of JSC “VNIIZhT” carried out an analysis of a significant amount of driver’s routes data, results of which showed that the dependence of the specific flow rate on temperature, on the basis of which the corresponding influence coefficient is determined, needs to be periodically updated. …”
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970
Modelling the impact of behavioural interventions during pandemics: A systematic review.
Published 2025-01-01“…We used descriptive analysis, network analysis for textual synthesis, and regression analysis to identify the relationship between the basic reproduction number R0 and various characteristics. …”
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971
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972
Investigation of thermal-hydraulic coupling impact on transient modeling of steam flow in integrated energy systems
Published 2025-10-01“…Through statistical analysis of actual industrial steam data, this study compares coupled numerical simulations against decoupled STAM solutions across diverse steam temperature fluctuations. …”
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973
Exploring Factors Influencing Speeding on Rural Roads: A Multivariable Approach
Published 2024-12-01“…The analysis encompasses diverse measured variables from Croatia’s secondary road network, including time of day and supplementary data such as average summer daily traffic, roadside characteristics, and settlement location. …”
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974
A Tale of Side Friction Elements in Dhaka City: From Modeling Real Cases to Revealing Impacts Through Event-Based Simulation
Published 2025-01-01“…Moreover, while non-motorized traffic reduces the network’s average speed, it plays a crucial role in maintaining a good flow rate on Dhaka’s low-capacity roads.…”
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975
The discrepancy evaluation model in the implementation of online learning (on the basis of parents’ perceptions)
Published 2022-02-01“…A table of evaluation criteria and descriptive analysis were employed to analyse the data.Results and scientific novelty. …”
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976
Efficient adsorption of methylene blue (MB) by an eco-friendly chitosan derivative adsorbent: An RSM and ANN modeling study
Published 2025-01-01“…One neuron was employed as the output layer, which corresponds to the removal efficiency of MB, and variables, including adsorbent dosage, pH, contact time, and MB concentration, were taken into consideration as the input layer feed data. Statistical metrics such as average relative errors (ARE), coefficient of determination (R2), mean squared error (MSE), Pearson's Chi-square (χ2), root means square errors (RMSE), and the sum of squares of errors (SSE) were used to measure the RSM and ANN models. …”
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977
Retail Internet Trade in Russia: Standing, Trends and Further Development
Published 2020-10-01“…Only one third of the population use the Internet to buy goods and the average cost of sale per one customer in the network makes up 10 500 rubles a year. …”
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978
State-of-Health Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy Features and Fusion Interpretable Deep Learning Framework
Published 2025-03-01“…The network architecture performs initial feature extraction and filtering through convolutional layers, extracting potential key features from the raw input data. …”
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979
Assessing equity of care across metastatic breast cancer treatment junctures: a multi-site retrospective cohort study
Published 2025-05-01“…Methods A retrospective cohort study of patients with mBC under the Medicare Oncology Care Model program was conducted with Texas Oncology Network data from July 2016 to June 2021 as well as the County Health Rankings and Roadmaps Data. …”
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980
The Extent and Patterns of Digitalization in Proactive Land Acquisition Strategy (PLAS) Farms in South Africa
Published 2024-10-01“…The factors that significantly influence digitalization were age, gender, farm type, network type, and cellular data type. Since PLAS farmers have not embraced much digitalization, it is important to focus on awareness and capacity building. …”
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