Polycystic ovarian syndrome (PCOS) is the most common endocrine disorder in women. To meet PCOS criteria, women must have a combination of hyperandrogenism, anovulation and ultrasound findings. Almost 10% of all reproductive age women worldwide show signs of PCOS. Although women often seek care for gynecological or body image concerns, many PCOS women are at risk for metabolic syndrome (MS). Many of the metabolic consequences are overlooked and undertreated by physicians because these patients tend to be young, reproductive age women. MS and obesity coexist commonly with PCOS. These young women are predisposed to glucose abnormalities and ultimately diabetes mellitus, dyslipidemia and eventually cardiovascular disease. Bariatric surgery can be an effective means of weight loss in PCOS women. Surgical techniques have become safer and less invasive over time and have been found to be effective in achieving significant weight loss. Surgical options have also increased, giving patients more choices. Bariatric surgery may prevent or reverse metabolic syndrome. Bariatric surgery may also have reproductive benefits in PCOS patients. Although bariatric surgery has historically been performed in older, reproductive aged women, it has recently gained favor in adolescents as well. This is of particular importance due to the prevalence of both PCOS and MS in adolescents. Treatment of PCOS and MS certainly requires a combination of medical therapy, psychological support and lifestyle modifications. These treatments are difficult and often frustrating for patients and physicians. Bariatric surgery can be effective in achieving significant weight loss, restoration of the hypothalamic pituitary axis, reduction of cardiovascular risk and even in improving pregnancy outcomes. Ultimately, bariatric surgery should be considered part of the treatment in PCOS women, especially in those with MS.
Real-Time identification automated system diagnoses fish disease i.e. Epizootic Ulcerative syndrome (EUS) which is caused by Aphanomyces invadans, a fungal pathogen. In this paper we propose a RealTime fish disease diagnose system with better accuracy. In order to improve the accuracy we propose a combination (PCA-FAST-NN) which combine the Principle component analysis (PCA) with Features from Accelerated Segment Test (FAST)feature detector using Machine Learning Algorithm(Neural Network) i.e. (PCA-FAST-NN) .The Experimentation has been done on the real images of Epizootic Ulcerative syndrome (EUS) infected fish database and implemented in MATLAB environment.
Our study suggests that initial serum hCG values are higher after using PGS and higher after the transfer of a frozen embryo compared to a fresh embryo. This suggests that initial hCG values relate to the chromosomal status of embryos. Initial hCG values may help determine intervention and monitoring later in pregnancy.
Abstract-This paper gives a brief about two of the metaheuristic techniques that are used to find best among the optimal solutions for complex problems like travelling salesman problem, Quadratic problem. Both of these techniques are based on the natural phenomenon of ant. Ant algorithm find good path but due to some short comings of it, this algorithm is not able to give best out of the good or optimal solutions, but modified ant algorithm which is based on probability finds out the best among the optimal paths We will also see that the modified ant algorithm can obtain less number of hops which helps us to get the best solution to typical problems.
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