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741
Optimizing a Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences
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742
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743
Evaluating the effects of urban development on the ecological carrying capacity of Isfahan city based on the system dynamics approach
Published 2023-09-01“…In order to validate the model, the historical trend and simulation of two variables of urban population and the number of industries have been compared using the coefficient of determination.Results and discussion: The pressure factors on the urban carrying capacity were detected and analyzed by assessing key variables in the system, such as water sustainability (WSI) and air quality, as well as changes in the landscape structure of Isfahan using landscape metrics. …”
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744
Pectin extraction from cocoa husk of different genotypes and stages of ripeness
Published 2025-07-01“…Results showed that genotype and ripeness significantly affect extraction efficiency and pectin functionality. The highest pectin yield was 77.7% for IMC-67 (ripe) and 72.6% for CCN51 (semi-ripe) at optimal conditions (pH 1.5–1.6, 80 °C, 75 minutes). …”
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745
Optimal ANOVA-Based Emulators of Models With(out) Derivatives
Published 2025-03-01“…Our emulators are also competitive in dealing with different distributions of the input variables and selecting inputs and interactions. Simulations show the efficiency of our approach.…”
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746
Direct methanol fuel cells parameter identification with enhanced algorithmic technique
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747
Study on Operation Control Strategy for Campus Public Building Heating Systems in Severe Cold Areas
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748
Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls
Published 2025-01-01“…For this reason, a finite element analysis method based on random field theory is proposed in this paper, which can more realistically reflect the non-homogeneous characteristics of the reinforced soil retaining wall system by introducing a spatial random distribution model of the soil parameters and the mechanical properties of the geocells, so as to more accurately assess the influence of the spatial variability of the material parameters on the deformation behavior and stability of the retaining wall.MethodsFirstly, in parameter random field modeling, an innovative combination of Latin Hypercube Sampling (LHS) and exponential autocorrelation function is used to construct parameter random fields. …”
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749
How Can We Manage Repairing a Broken Finite Vibrating String? Solutions to the Problem I
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750
Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades
Published 2025-02-01“…Since the optimization process only using genetic algorithms is very time-consuming and has high computational costs, artificial neural networks were used to reduce costs. The objective function in this optimization process was to increase efficiency while maintaining the flow rate and pressure ratio at the design point. …”
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751
Multifractal analysis of Bitcoin price dynamics
Published 2025-02-01“… This research employs Multifractal Detrended Fluctuation Analysis (MFDFA) to investigate multifractal properties in financial variables, including Bitcoin prices and economic indicators. …”
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752
Vehicle detection method based on multi-layer selective feature for UAV aerial images
Published 2025-07-01“…However, this task remains challenging due to variable high-altitude viewpoints, complex environmental interference, and limitations in algorithmic efficiency. …”
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753
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754
Derivation and external validation of a risk score for clinically important declines in health and function among two longitudinal cohorts of women in the mid-life
Published 2023-08-01“…Objectives Women in mid-life often develop chronic conditions and experience declines in physical health and function. Identifying factors associated with declines provides opportunity for targeted interventions. …”
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755
Energy Consumption and Economic Growth Nexus: Insights from EU Member States
Published 2024-11-01“…It searches for some short/long term relationships of these through a panel type model, based on the Cobb-Douglas neoclassic production function. Reference examples in the literature and tests applied for unit roots and cointegration determine our option for an autoregressive distributed lag (ARDL) model able to identify both common coefficients of long-term relationship between variables and individual (specific to each EU member country) coefficients on short-term relationships. …”
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756
Experimental investigation of solar PVT collector with the dryer on mass and temperature of dried red chili with Machine Learning Models
Published 2025-09-01“…Machine learning (ML) models, namely the Multilayer Perceptron (MLP), Radial Basis Function (RBF), and Decision Tree (DT), were used to forecast the temperature and mass dryness variables.The RBF model showed the best performance with 0.98, 0.95, and 0.92 for temperature dryness, above MLP and DM. …”
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757
Kidney Function and Incident Stroke and Dementia Using an Updated Estimated Glomerular Filtration Rate Equation Without Race: The Multi-Ethnic Study of Atherosclerosis
Published 2025-03-01“…Inclusion of race to estimate kidney function has gained increased scrutiny given its problematic nature of being a societal construct rather than an inherent biological trait that affects function of the kidneys. …”
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758
Natural assets, changes, and variations of the socioeconomic-environmental systems along the Asian drylands belt
Published 2024-01-01“…We found increased variability as well as spikes in extreme values in each of these three measures of SES function among the 23 PEs over the study period. …”
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760
Internal Benchmarking of Thermal Power Plants оf Electric Power Systems
Published 2020-12-01“…A necessary condition for the feasibility of using these or those integral indicators is their functional and statistical independence. The results of the studies performed using the simulation method made it possible to establish that the smallest correlation occurs between the integral indicator calculated as the arithmetic mean of random variables and the integral indicator calculated as the coefficient of variation of the same random variables. …”
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