green fig, which is usually consumed as dry fruit, is one of the important non-oil export agricultural commodities of iran. in this study, some important physical properties of green figs including geometric mean diamter, sphericity, porosity, particle and bulk density and pressure drop across a thin bed were measured at constant moisture content of 6% (dry basis). air flow ranges used in this ...

abstract saturated hydraulic conductivity (ks) is needed for many studies related to water and solute transport, but often cannot be measured because of practical and/or cost-related reasons. nonparametric approaches are being used in various fields to estimate continuous variables. one type of the nonparametric lazy learning algorithms, a k-nearest neighbor (k-nn) algorithm, was introduced and...

This study aims to characterize and model the thermal protective fabrics usually used in workwear under Molotov cocktail exposure. Physical properties of were measured; and, performances evaluated a fire exposure generated from laboratory-simulated cocktail. The performance was calculated terms amount energy transmitted through fabrics; additionally, time required generate second-degree burn on...

Abstract This article presents the data acquisition, exploratory analysis, model training, evaluation, and use of hyperparameters in a machine learning that will be used to predict telemetry from Amazonia-1 satellite. The satellite was launched 2021, it uses Multi-Mission Platform as service module has Wide Field Imager imaging camera. Its power subsystem 715 telemetries with distinct types dep...

BACKGROUND One of the methods used for standard setting is the borderline regression method (BRM). This study aims to assess the reliability of BRM when the pass-fail standard in an objective structured clinical examination (OSCE) was calculated by averaging the BRM standards obtained for each station separately. MATERIALS AND METHODS In nine stations of the OSCE with direct observation the e...

Introduction: Automatic arterial input function (AIF) selection has an essential role in quantification of cerebral perfusion parameters. The purpose of this study is to develop an optimal automatic method for AIF determination in dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) of glioma brain tumors by using a new preprocessing method.Material and Methods: For this study, ...

Hydrograph modeling and prediction of groundwater levels are the main concerns of most hydrogeological calculations and water resource management process. The present study is an application of Sequential Gaussian Simulation (SGSim) method for predicting groundwater levels using recorded monthly data (180 months) related to 21 piezometers of Behbahan aquifer, southwest of Iran. To generate real...

(b) Simulate the model (1) to produce T = 100 measurements y1:T . Based on these measurements compute the optimal (in the sense that it minimizes the mean square error) estimate of xt | y1:t for t = 1, . . . , T . Implement a bootstrap particle filter and compare to the optimal estimates. You can for example perform this comparison by plotting the root mean square estimate (RMSE) ε(N) as a func...