Volume 10 | Issue 12 |

 Abstract

Hypothyroidism is caused by insufficient secretion of thyroid hormones by the complete loss of its function. Polycystic Ovary Syndrome is one of the most common endocrinopathy of women at the reproductive age. There is a significant overlap of symptoms between PCOS and Thyroid disease despite the fact that the two are different conditions. The aim of this study is to describe the complications associated with depression, anxiety, and reduced health related quality of life among women with PCOD. Ovaries are the reproductive organs of a female which controls the menstrual cycle and the production of hormones like estrogen, progesterone, Inhibin, relaxin etc. In PCOD, the hormones of a women go out of balance which creates various symptoms, including the absence of ovulation, irregular menstrual cycle, difficulty in conceiving, weight gain, acne, and hirsutism. PCOS has two phenotypes, overweight/ obese and lean. Currently, most therapy is centred on the patients primary complaint. Treatment focuses on reducing hyperandrogenism symptoms, restoring menstrual regularity, and achieving conception. Women with PCOS are at increased risk of developing cardiovascular diseases, dyslipidemia, hypertension and type 2 diabetes mellitus.

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 Keywords

Hypothyroidism, PCOD, Hyperandrogenism, Dyslipidemia.

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The present study has been conducted to investigate the risk taking behaviour of Prospective teachers in relation to their anxiety. The study was made on a random sample of two hundred prospective teachers, with equal number of males and females, from government college, Government aided college and self-finance college of education in Chennai district of Tamil Nadu. Risk Taking Behaviour Inventory by Anbalagan and Annaraja (2008) and Academic Anxiety Scale (AAS) by Mohd. Abid Siddiqui and Atieq Rehman (2017). Were used to collect the data. The analysis of data revealed no significant difference in the risk taking behaviour and anxiety of prospective teachers males and females. The investigators also observed that there was significant correlation between risk taking behaviour and anxiety.

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Prospective teachers, Risk-taking behaviour, Anxiety

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Keywords: Organic foods, Consumer behaviour, Satisfaction, Awareness

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The information technology industry has made significant advances into many facets of society, including its politics, business, and culture. The digital revolution has not only contributed to the enormous growth of human society but has also brought an unprecedented amount of attention to the challenges of maintaining network security. There are four main phases that researchers who focus on network security go through: network security best practises, complementary research and passive defence, proactive analysis and plan development, and a holistic perspective and forward-looking forecasting. Against the background of the new strategic command for the digital control, which all countries are competing for, new features arise in the debate over network security situational awareness, both in academic study and industrialisation. To that purpose, a thorough literature evaluation of situational awareness in network security was done for this study. In this paper, we lay out the national and international landscape of current research, and then provide the analytical framework necessary to place network security awareness within the context of the data value chain. Finally, some conclusions and recommendations are offered. The entirety of the procedure is broken down into five distinct steps that occur in sequential order: the factor acquisition stage, the model representation stage, the measurement establishment stage, the solution analysis stage, and the scenario prediction stage. Next, the function of each stage, the prevalent methods currently in use, the results of applying the methods to the

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ANALYTICAL SYSTEM FOR NETWORK SECURITY ON SITUATIONAL AWARENESS AND ITS COMPARISON OF IMPLEMENTATION METHODS

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The computable aspect of the physical world's reality can be expressed using mathematics, which is a powerful instrument. As biological systems develop and adapt to their environment, mathematical relations internalise themselves as an abstracting capability. Internal coding structures that represent their embedded description are found in all living systems. They are anticipatory in the sense that a deterministic model of their behaviour is created by the embedded description. If the model doesn't yield the desired outcome, they can develop by acquiring additional statements within the embedded description that get around the shortcomings of the current model. The freshly generated assertions gain significance as a result of and because of the environment's change. To better understand the biomedical data generated by high-throughput genomics and proteomics programmes, mathematical and computational models are being used more frequently. The use of sophisticated computer models that simulate complicated biological processes leads to the generation of hypotheses and recommendations for studies. properly integrating. Models are required for quick access to, and sharing of knowledge using data mining and knowledge discovery techniques when faced with biological databases

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Keywards :Mathematical Biology ,Computational Model ,Biological Code ,Relation Biology

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Hydrotherapy, water birth, Labour, birth in water

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Image processing, PCA, ANN, Extraction, Matching

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The purpose of this article is a reflection on the relationship between teacher and student in the classroom. Usually, this approach is always presented to us from the traditional theories of Scientific Management. And such an approach always presents the teacher as the leader of his students, and his students led by the teacher. It reproduces that view of the hierarchical power relationship and the use of coercion and argumentation to convince students to carry out the objectives and goals. Emerging in this teacher-student relationship the figure of the hero leader or the hero teacher. This article brings some reflections by Follet based on the text that she herself wrote in October 1928 on the teacher-student relationship based on theories of human relations in an approach to the idea of management developed by her.

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Teacher, Student, Leadership, Classroom Management, Follet.

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Key Words: SME IPOs, MSME, NSE, BSE, stock market, economic development

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The Recurrent Neural Network (RNN) deep learning algorithm, which mainly learns and predicts sequential and time series data, is mainly used in language modeling, stock price prediction, and chatbot. In this paper, we propose a movie prediction and recommendation method based on considering the movie consumption patterns of users. We measure similarity between users based on movie rating data, classify users with similar movie preferences, and identify the consumption patterns of each similar user group to improve prediction accuracy by taking into account the change in preferences over time. To show the effectiveness of the proposed method, we apply a collaborative filtering algorithm, a simple RNN, and our modified RNN and compare their prediction accuracies. Expressing reviews in the form of feelings or ratings on an item used or a movie watched is part of human habit. These reviews are easily available on various social networks. Based on the user's interest pattern, it is important to recommend items to the user. To this day, many recommendation systems are designed using several machine learning algorithms. The ever-increasing convergence speed, prediction accuracy, and appropriate optimization are obstacles for recommender systems that must be solved by hybrid algorithms. In this paper, we propose a system that uses Bidirectional Gated Recurrent Unit (BiGRU), the latest variant of Recursive Neural Network (RNN) in collaboration with Remora Optimization Algorithm (ROA).

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 Keywords

movie recommendation, user similarity, consumption pattern, sequence data, Recurrent Neural Network, BIGRU, ROA

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