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201
Investigation on Free Vibration of Rotating Cylindrical Shells with Variable Thickness
Published 2023-01-01“…In order to improve the performance and efficiency of the rotating cylindrical shell (RCS), one of the effective ways reduces the mass of the RCS. …”
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202
The acoustic wave generation by a thin layer with variable temperature
Published 2015-07-01“…It was shown that, in view of the low efficiency of the temperature—pressure conversion, it is necessary to generate large layer temperature changes to obtain the mean values of sound intensity, whereas the maximum of the modulus of the transmittance function of the source occurs even for very thin layers. …”
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203
Modeling the Impact of Fabrication Variabilities on the Performance of Silicon Avalanche Photodetectors
Published 2024-01-01“…This work presents a systematic study of the sensitivities of silicon avalanche photodiode (APD) performance metrics, including gain, excess noise, and bandwidth, to potential variabilities in the fabrication process. The APDs simulations are performed using a state-of-the-art Full-Band Monte Carlo (FBMC) device simulator with the integrated band structure and scattering rates calculated <inline-formula><tex-math notation="LaTeX">$\mathit{ab{-}initio}$</tex-math></inline-formula> with density-functional theory (DFT). …”
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204
Refined matrix completion for spectrum estimation of heart rate variability
Published 2024-08-01“…Heart rate variability (HRV) is an important metric in cardiovascular health monitoring. …”
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205
NIRSpredict: a platform for predicting plant traits from near infra-red spectroscopy
Published 2024-11-01“…Summary Near-infrared spectroscopy (NIRS) has become a popular tool for investigating phenotypic variability in plants. We developed the Shiny NIRSpredict application to get predictions of 81 Arabidopsis thaliana phenotypic traits, including classical functional traits as well as a large variety of commonly measured chemical compounds, based from near-infrared spectroscopy values based on deep learning. …”
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206
A novel extraction model optimization with effective separation coefficient for rare earth extraction process using improve differential evolution
Published 2025-04-01“…This model also facilitates the construction of an optimized objective function for determining the effective separation coefficient. …”
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207
An Algorithm for the Conditional Distribution of Independent Binomial Random Variables Given the Sum
Published 2025-06-01“…The acceptance probability in the MH algorithm always involves the probability mass function of the proposal distribution. For the random walk MH algorithm, we take this distribution to be uniform across all possible proposals. …”
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208
A study on the effect of spatially variation rainfall on urban flooding
Published 2025-12-01“…A three-dimensional probabilistic model, incorporating the variation coefficient, total rainfall, and flooding risk, was constructed using the Copula function. …”
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209
The impact of gradient variable temperature fermentation on the quality of cigar tobacco leaves
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210
ANALYSIS OF SOME ECONOMIC VARIABLES IN SLOVENIAN FARMS USING FADN DATASET
Published 2017-01-01“…The purpose of this paper was to investigate by a quantitative approach, over the time 2004-2013, in the FADN dataset main correlations among different economic variables, such as financial subsidies allocated by the CAP on Slovenian farms stratified in function of the main typology of farming which is a dummy variable of the productive specialization. …”
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Heart Rate Variability Time-Domain Analysis Across Glaucoma Subtypes
Published 2025-04-01“…This study aimed to investigate the association between different glaucoma subtypes and the following time-domain heart rate variability (HRV) parameters: the standard deviation of normal-to-normal intervals (SDNN), the square root of the mean of the sum of the squared differences between adjacent normal-to-normal intervals (RMSSD), and the coefficient of variation of R-R intervals (CVRR). …”
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213
Factors associated with high glucose variability in patients with type 1 diabetes
Published 2022-10-01“…BACKGROUND: High glucose variability (GV) is recognized as a risk factor for vascular diabetic complications and hypoglycemia. …”
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214
Effects of Peanut Processing on Masticatory Performance during Variable Appetitive States
Published 2010-01-01“…To explore the relationship between peanut form and processing and masticatory function. Subjects/Methods. Thirty nine adults (16 M, 23 F; BMI: 30.4±4.0 kg/m2; age: 27±8 y) with healthy dentition chewed four different forms of peanuts until they would normally swallow and then expectorated the bolus. …”
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215
Intelligent trajectory tracking algorithm for autonomous robots under membrane computing
Published 2024-08-01“…Finally, based on the multi-step parallel membrane structure, a feasible autonomous robot trajectory path was found, and a sliding mode variable structure function was used to design the control rate. …”
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Price discovery and market efficiency of cardamom in India
Published 2022-02-01“…Besides, this study did not find the role of cardamom futures contracts intended to serve the economic function of price discovery and price risk management. …”
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218
Multivariate Spatial Autoregressive Model with Latent Variables: Application to Economic Growth Modeling
Published 2025-10-01“…Therefore, this research developed a model that involved multivariate data, latent variables, and spatial data, specifically spatial autoregressive, in the form of a multivariate spatial autoregressive model that involves latent variables (MSAR-VLs). …”
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219
Stochastic Characteristics and Optimal Control for a Stochastic Chemostat Model with Variable Yield
Published 2020-01-01“…In this paper, a stochastic chemostat model with variable yield and Contois growth function is investigated. …”
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220
Interannual variability in thermal state of the upper mixed layer in the Bering Sea in winter
Published 2023-10-01“…Series of annual mean fields of the mixed layer temperature in December-March were decomposed by applying the empirical orthogonal function (EOF); dynamics of the first two components of decomposition (described in sum 50.4 % of the initial fields variability) are analyzed. …”
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