The purpose of this study was to examine the effect on hippocampus morphology and learning behavior in rat pups following prenatal exposure to a 900 megahertz (MHz) electromagnetic field (EMF). Female Sprague Dawley rats weighing 180-250 g were left to mate with males. The following day, pregnant rats identified as such by the vaginal smear test were divided into two groups, control (n=3) and E...

Rat leprosy exhibits certain pathological, bacteriological and clinical features in common with leprosy of man. The delicate rodlike morphology of the bacilli of Stefansky (26) and of Hansen (9), their strongly acid-fast and alcohol-fast staining reactions, and their resistance to cultivation on artificial mediums indicate a close relationship of these two generally accepted etiological agents....

We present a quantitative measure of the internal color dispersion within galaxies, which quantifies differences in galaxy morphology as a function of observed wavelength. We apply this statistic to a sample of local galaxies with archival images at 1500 Å and 2500 Å from the Ultraviolet Imaging Telescope, and ground–based B–band observations in order to investigate how the internal dispersion ...

AIM: The article has researched cell morphological changes of phagocytic system’s experimented animals by influence cool-rock dust phisical loading basis.
 METHODS: activity in combined operation destructive the cells and lowering vital capacity was investigated.
 RESULTS: taken results let cosider structure-functional condition phagocytal unfavorable industrial factors.
 CONCLUS...

Since most algorithms for automatic video segmentation cannot extract video objects in a picture frame accurately, we can take a user-assisted approach in generating VOPs of moving objects. In this paper, we propose a semiautomatic video segmentation algorithm using semantic information. In order to reduce effects of unwanted feature points due to the low-level image processing operations, we e...

This paper proposes an adaptive over-segmentation meth-od for image copy-move forgery detection. Firstly, the Adaptive Over-Segmentation algorithm is proposed to adaptively segment the host image into non-overlapping and irregular blocks. Then the feature points are extracted and matched with each other to locate the labeled feature points which can approximately indicate the suspected forgery ...

A patient is reported with a six-year history of seronegative inflammatory arthritis, lymphadenopathy, and a rash. Many investigations, including repeat jejunal and synovial needle biopsies, failed to establish the diagnosis. Eventually right hip destruction led to arthroplasty. Synovial membrane obtained at operation was examined by electron microscopy and organisms were found with the morphol...

In this paper, we combined with efficient image signal processing algorithms, according to the manifestations of the blur of polish operation in the frequency domain,proposed a blind detection algorithm for image tampering evidence. First, the target image transformed into a new Nonsubsampled dyadic contourlet domain which based on contrast à trous wavelet, then homomorphic filtering on it in t...

In this paper we formulate a general class of neural network based lters, where each node is a morphological/rank operation. This type of system is computationally eecient since no multiplications are necessary. The introduction of such networks is partially motivated from observations that internal structures of a neuron can generate logic operations. An eecient adaptive optimal design procedu...

Microscopic image analysis is an essential process to enable the automatic enumeration and quantitative analysis of microbial images. There are several system are available for numerating microbial growth. Some of the existing method may be inefficient to accurately count the overlapped microorganisms. Therefore, in this paper we proposed an efficient method for automatic segmentation and count...