Groundwater contaminant source identification is an endeavor task in highly developed areas that have been impacted by diverse natural processes and anthropogenic activities. In this study, groundwater samples from 84 wells the pilot promoter region of Yangtze River Delta integration demonstration zone eastern China were collected then analyzed for 17 quality parameters. The principal component...

Soil salinity due to irrigation diversion affects regional agriculture, and the development of soil composition estimation models for dynamic monitoring is important control. In this study, we evaluated performance hyperspectral data measured using an analytical spectral device (ASD) field spec standard-res hand-held spectrometer satellite sensor visible shortwave infrared advanced imager (AHSI...

2(1H)-pyrimidinone,5-(3-methylphenoxy) (MLR-1023) is a candidate for the treatment of type 2 diabetes. The current studies were aimed at determining the mechanism by which MLR-1023 mediates glycemic control. In these studies, we showed that MLR-1023 reduced blood glucose levels without increasing insulin secretion in vivo. We have further determined that MLR-1023 did not activate peroxisome pro...

The mesencephalic (or midbrain) locomotor region (MLR) was first described in 1966 by Shik and colleagues, who demonstrated that electrical stimulation of this region induced locomotion in decerebrate (intercollicular transection) cats. The pedunculopontine tegmental nucleus (PPT) cholinergic neurons and midbrain extrapyramidal area (MEA) have been suggested to form the neuroanatomical basis fo...

We introduce a method for predicting midsagittal contours of orofacial articulators from real-time MRI data. A corpus of about 26 minutes of speech has been recorded of a French speaker at a rate of 55 images / s using highly undersampled radial gradient-echo MRI with image reconstruction by nonlinear inversion. The contours of each articulator have been manually traced for a set of about 60 im...

The aim of this study was to develop a multiple linear regression (MLR) model predict the specific methane production (SMP) from dry anaerobic digestion (AD) organic fraction municipal solid waste (OFMSW). A data set an experimental test on pilot-scale plug-flow reactor (PFR) including 332 observations used build model. Pearson?s correlation matrix and principal component analysis (PCA) examine...

This report describes a Ts costimulator assay and its use to analyze cofactors required for the expression of suppressor T cell function. Activation of primed MLR-Ts (alloantigen-activated suppressor T cells suppressive of mixed leukocyte reaction) to suppressor T cell factor (TsF) production typically fails in the presence of glutaraldehyde-fixed rather than irradiated allogeneic stimulator ce...

Recent techniques in the management of surface river water have been expanding the demand on the method that can provide more representative of multivariate data set. A proper technique of the architecture of artificial neural network (ANN) model and multiple linear regression (MLR) provides an advance tool for surface water modeling and forecasting. The development of receptor model was applie...

This paper presents a method based on chemometrics analysis to select the optimal wavebands for variety discrimination of Chinese cabbage seed by using a Visible/Near-infrared spectroscopy (Vis/NIRS) system. A total of 120 seed samples were investigated using a field spectroradiometer. Chemometrics was used to build the relationship between the absorbance spectra and varieties. Principle compon...

Water samples were collected for determination of dissolved trace metals in 56 sampling sites throughout the upper Han River, China. Multivariate statistical analyses including correlation analysis, stepwise multiple linear regression models, and principal component and factor analysis (PCA/FA) were employed to examine the land use influences on trace metals, and a receptor model of factor anal...