Short-term load forecasting (STLF) is an obligatory and vibrant part of power system planning dispatching. It utilized for short running targets in planning. Electricity consumption has nonlinear patterns due to its reliance on factors like time, weather, geography, culture, some random individual events. This research work emphasizes STLF through profile data from domestic energy meter forecas...

This study investigated the effects of soil particle size on the reflectance spectra of sandy soils using ultraviolet, visible, and near-infrared spectroscopy in sensing phosphorus (P) concentration. Pure sandy soil was graded into three particle sizes. Sieve sizes were 125, 250, and 600 m for fine, medium, and coarse, respectively. Phosphorus application rates for the soil samples were 0.0, 12...

caspase-3, one of the dominant effectors caspases, is activated in almost every model of apoptosis with various signaling pathways. hence, inhibition of caspase-3 has become an attractive target in the treatment of neurodegenerative diseases. caspase-3 inhibitory activities of some 1,2-benzisothiazol-3-one derivatives were modeled by quantitative structure–activity relationship (qsar) using ste...

predictive quantitative structure–activity relationship was performed on the novel 4-oxo-1,4-dihydroquinoline and 4-oxo-4h-pyrido[1,2-a]pyrimidine derivatives to explore relationship between the structure of synthesized compounds and their anti-hiv-1 activities. in this way, the suitable set of the molecular descriptors was calculated and the important descriptors using the variable selections ...

in this work quantitative structure activity relationship (qsar) methodology was applied for modeling and prediction of cellular response to polymers that have been designed for tissue engineering. after calculation and screening of molecular descriptors, linear and nonlinear models were developed by using multiple linear regressions (mlr) and artificial neural network (ann) methods. the root m...

Respiratory inductance plethysmography (RIP) measures respiration from body surface movements. Various techniques have been proposed for calibration in order that RIP may be used quantitatively. These include calculation of the proportionality constant of ribcage to abdominal volume change (K). The aims of this study were to 1) establish whether a fixed value of K could be used for calibration,...

The application of pattern recognition to functional magnetic resonance imaging (fMRI) data enables exiting possibilities, including mind-reading and brain-machine interfacing. This paper presents a novel brain state identification approach, which, using an algorithm based on particle swarm optimization (PSO) in conjunction with a classifier of choice, identifies important brain voxels – thus b...

A linear quantitative structure-activity relationship (QSAR) model is presented for modeling and predicting the αglucosidase inhibitory activity. The model was produced by using the multiple linear regression (MLR) technique on a twenty one compound database that consists of newly discovered 2,4-thiazolidinediones. The major conclusion of this study is that molecular weight, wiener index, andre...

A linear quantitative structure-activity relationship (QSAR) model is presented for modeling and predicting the inhibition of CXCR3 receptor. The model was produced by using the multiple linear regression (MLR) technique on a database that consists of 32 recently discovered 4-N-aryl-[1,4] diazepane ureas. The key conclusion of this study is that 3k, ChiInf8, ChiInf0, AtomCompTotal and ClogP aff...