THE RAPIES OF PURULENT MASTITIS IN CATS
INTERNATIONAL TRANSACTION JOURNAL OF ENGINEERING MANAGEMENT & APPLIED SCIENCES & TECHNOLOGIES
Authors: Chekrysheva, V. V.; Rodin, I. A.
Abstract
A comparative analysis of the most common methods of treating mastitis in cats is carried out, and the incidence of mastitis in cats among the entire obstetric and gynecological pathology is studied. Currently, mastitis in cats is an urgent problem, due to the high cost of treatment costs, the possible death of the cat itself, as well as the shortage of litter of nutrients due to the lack of milk in the female. Possible complications after cats are ill with a purulent form of mastitis include a lack of lactation. Thus, the problem of finding rational methods for treating purulent forms of mastitis in cats is relevant not only for veterinarians but also for owners of animals. Mastitis is the most common pathology among cats and makes up 36.5%. In the course of studies, it was revealed that the purulent form of mastitis occurs in 41% of rays among all forms of mastitis in cats. The clinical picture with a purulent form of mastitis is pronounced: the animal is depressed, refuses to eat, body temperature is increased to 40 degrees C, and pulse and respiratory rate are increased. Signs of inflammation in the mammary gland are also pronounced. The mammary gland is enlarged, hot, hyperemic, swollen, soreness pronounced. A secretion of pus is secreted from the nipples with an unpleasant odor of white-yellow color. Also during the operation was investigated for therapeutic efficacy complex schemes s treatment using antibiotic Sinuloks and non-steroidal anti-inflammatory drug Ainil. The therapeutic efficacy of this regimen reaches 100% within 5 days. A comprehensive treatment regimen using m antibacterial drug Kobactan 2.5% and non-steroidal anti-inflammatory drug Meloxivet 2% is therapeutically effective in 100% of cases for 5 days. The animals of the control group used the antibacterial drug Bicillin 3 twice. Such therapy showed very low therapeutic efficacy (40%). Disciplinary: Veterinary Sciences. (c) 2020 INT TRANS J ENG MANAG SCI TECH.
SPECS: Integration of side-chain orientation and global distance-based measures for improved evaluation of protein structural models
PLOS ONE
Authors: Alapati, Rahul; Shuvo, Md Hossain; Bhattacharya, Debswapna
Abstract
Significant advancements in the field of protein structure prediction have necessitated the need for objective and robust evaluation of protein structural models by comparing predicted models against the experimentally determined native structures to quantitate their structural similarities. Existing protein model versus native similarity metrics either consider the distances between alpha carbon (C alpha) or side-chain atoms for computing the similarity. However, side-chain orientation of a protein plays a critical role in defining its conformation at the atomic-level. Despite its importance, inclusion of side-chain orientation in structural similarity evaluation has not yet been addressed. Here, we present SPECS, a side-chain-orientation-included protein model-native similarity metric for improved evaluation of protein structural models. SPECS combines side-chain orientation and global distance based measures in an integrated framework using the united-residue model of polypeptide conformation for computing model-native similarity. Experimental results demonstrate that SPECS is a reliable measure for evaluating structural similarity at the global level including and beyond the accuracy of C alpha positioning. Moreover, SPECS delivers superior performance in capturing local quality aspect compared to popular global C alpha positioning-based metrics ranging from models at near-experimental accuracies to models with correct overall folds-making it a robust measure suitable for both high- and moderate-resolution models. Finally, SPECS is sensitive to minute variations in side-chain chi angles even for models with perfect C alpha trace, revealing the power of including side-chain orientation. Collectively, SPECS is a versatile evaluation metric covering a wide spectrum of protein modeling scenarios and simultaneously captures complementary aspects of structural similarities at multiple levels of granularities. SPECS is freely available at http://watson.cse.eng.auburn.edu/SPECS/.