To determine estrogen effects on osmotic regulation of arginine vasopressin (AVP) and body fluids, we suppressed endogenous estrogen and progesterone using the gonadotropin-releasing hormone (GnRH) analog leuprolide acetate (GnRHa). Subjects were assigned to one of two groups: 1) GnRHa alone, then GnRHa + estrogen (E, n = 9, 25 +/- 1 yr); 2) GnRHa alone, then GnRHa + estrogen with progesterone ...

Background & Aims of the Study: Heat Stress is a major factor in many industrials and heat stress is one of occupational hazards in the workplace and severely affects the health and productivity, heat stress can decrease efficiency, increase accidents and reduce safety levels. Aim of this study was comparing the heat stress indices of HSI and WBGT and core body temperature in steels ind...

Hyperspectral image (HSI) with high spectral resolution often suffers from low spatial owing to the limitations of imaging sensors. Image fusion is an effective and economical way enhance HSI, which combines HSI higher multispectral (MSI) same scenario. In past years, many MSI algorithms are introduced obtain high-resolution HSI. However, it lacks a full-scale review for newly proposed approach...

BACKGROUND Among long-term care (LTC) residents, we explored the association between anemia status and hemoglobin (Hb) level with Activities of Daily Living (ADL) functioning and health-related quality of life (HRQOL). METHODS Data were derived from the AnalytiCare database, containing laboratory and Minimum Data Set (MDS) reports for 27 LTC facilities in Colorado. Study timeframe was 1/1/07-...

In this paper, we present the results of the extension of the mathematical morphology to color images by treating multichannel data as vectors. The approach presented here uses the HSI and related color spaces (intuitives). A modification of the lexicographical order for vectorial processing is developed. The importance of this new method lies on automatic selection of elements of the HSI and r...

Hyperspectral imaging (HSI) is an emerging imaging modality for medical applications. HSI acquires two dimensional images at various wavelengths. The combination of both spectral and spatial information provides quantitative information for cancer detection and diagnosis. This paper proposes using superpixels, principal component analysis (PCA), and support vector machine (SVM) to distinguish r...

Hyper-Spectral Imaging sensor (HSI) aboarded on the HJ-1A (The Small Satellite Constellation for Environment and Disaster Monitoring) was launched Sep. 6, 2008, in China. HSI covers the spectral range from 450 nm to 950 nm, with average spectral resolution 4nm[1]. Spectral calibration is one of the key performance parameters of hyper-spectral imaging sensor, the decline of spectral performance ...

For Hyperspectral image (HSI) datasets, each class have their salient feature and classifiers classify HSI datasets according to the class's saliency features, however, there will be different salient features when use different normalization method. In this letter, we report the effect on classifiers by different normalization methods and recommend the best normalization methods for classifier...