Predicting \u27Attention Deficit Hyperactive Disorder\u27 using large scale child data set

Attention deficit hyperactivity disorder (ADHD) is a disorder found in children affecting about 9.5% of American children aged 13 years or more. Every year, the number of children diagnosed with ADHD is increasing. There is no single test that can diagnose ADHD. In fact, a health practitioner has to analyze the behavior of the child to determine if the child has ADHD. He has to gather information about the child, and his/her behavior and environment. Because of all these problems in diagnosis, I propose to use Machine Learning techniques to predict ADHD by using large scale child data set. Machine learning offers a principled approach for developing sophisticated, automatic, and objective algorithms for analysis of disease. Lot of new approaches have immerged which allows to develop understanding and provides opportunity to do advanced analysis. Use of classification model in detection has made significant impacts in the detection and diagnosis of diseases. I propose to use binary classification techniques for detection and diagnosis of ADHD

Design and simulation of magnetic thrust and radial bearing system

Active magnetic bearings (AMBs) are used in many high speed machinery applications because of their advantages of no contact, no wear, no need for lubrications and ability to operate in high rotational speeds. AMBs represent an alternative solution to traditional mechanical bearing due to their contactless working principle. Touchdown bearings are needed in AMBs to prevent system damage under certain conditions such as sudden impact or sudden change of unbalance. In these conditions, rotor may make contact with touchdown bearings. AMBs may have the capability to accommodate sudden impact without contact though this will require novel design of control strategy for thrust and touchdown bearing. The purpose of this work is to provide platform for the robust control design research of flexible rotor-AMB touchdown systems. To this end research work concentrates on the design, construction and simulation of magnetic thrust and touchdown system. The report begins with the identifications of flexible rotor AMB system configuration. In this content accurate rotor system model considering AMB, thrust and touchdown discs was obtained using FEM technique according to Timoshenko beam theory. Design of flexible rotor AMB system requires careful attention towards rotordynamic design aspect such as observability and controllability and it is important that actuator and sensor location are away from the nodal point. Identification of flexible rotor-AMB system model is achieved in a series of steps. Free-free undamped mode shapes were obtained in this work which predicts the dynamic behaviour of the flexible rotor. The plot of the free-free mode shapes and natural frequencies results have shown that the system is controllable and observable. Second, Campbell diagram was generated to see the effect of gyroscopic behaviour on the splitting of natural frequencies into forward and backword modes. Campbell diagram results showed satisfactory behaviour of flexible rotor. The second goal of this work is to acquire technical design, modelling of electromechanical components and control unit. Magnetic actuator design specifications were obtained based on magnetic circuit analysis. Unigraphics software was used to carry out detail design and 3D modeling/assembly of electromechanical components. In this context purchase cost estimation was identified based on quotations. Purchase of rotor model components were made outside. The third goal of a thesis work is to verify the flexible rotor system model using experimental test. Hammer used as a force transducer was used in the test as excitation of the system and accelerometer used to measure response of the system. The experimental result validates the FEM technique because it is in reasonably good agreement with simulation results. The experimental mode shape results showed rotor will perform well within design speed range

An Overview of the Health Benefits of Drumstick Pods

The “Moringa” (MO) (drumstick) is native to India and grows in the tropical and subtropical regions of the world. Due to its high nutritional value, each part of the tree is suitable for nutritional or commercial use. The seed of Moringa oleifera is a natural coagulant, widely used in water treatment. The scientific results of this research provide information on the use of M. oleifera as a treatment for diabetes and cancer and the strengthening of M. oleifera pods, leaves, and flowers in commercial products. This review explores the interdisciplinary medicinal value of MO and discusses the cultivation, nutrition, and commercial and exceptional pharmacological properties of this “miracle tree”. MO is nature’s first aid kit, widely used in the Indian Ayurvedic medical system, as a nutrient, natural energy stimulant and to increase defense against disease. It is a multi-purpose vegetable sources of trees, spices, cooking oils, and cosmetic oils and as medicinal plants

Effect of Micronutrients Intake and Physical Activity on Depression and Anxiety: A Review

Depression and anxiety are increasing at global and national level at the rampant rate and hence are the main reason for deterioration in mental health. This, in turn, leads to a poor physical health. With the increase in the incidence of the rate of both the disorder, it is a silent killer as well. There are many medical and non-medical treatments are available for the cure of anxiety and depression. A few nutrients such as zinc, selenium, iron, magnesium, iodine, and Vitamin A, B complex, D, and Vitamin C have also shown a beneficial role in the improvement of anxiety and depression symptoms. There is a possible role of optimal physical activity in reduction of symptoms of anxiety and depression. Very few studies are available on the role of these micronutrient intakes and physical activity on anxiety and depression. Hence more research is required in this field of study

COVID-19-How Confinment Affects the Dietary Habits, Physical Activity, and Lifestyle of Work from Home Population in the State of Gujarat

The COVID-19 pandemic in India is part of the worldwide pandemic of coronavirus disease 2019 caused by severe acute respiratory syndrome coronavirus 2. India, which has the second-highest population in the world, is suffering from COVID-19 disease. By May18th the country India investigated ~1 lakh (0.1 million) infected cases from COVID-19, and as of 11th July, the cases equalled 8 lakhs. Social distancing and lockdown rules were employed in India due to COVID-19 influenced food habits and lifestyles with potential negative health impact on Indian population. The current research is an attempt to explore physical health; dietary habits; lifestyle changes in working population in state of Gujarat during the lockdown. Approximately, 200 participants from the state of Gujarat were included in the study. They were asked to complete a questionnaire with questions around changes in body weight, junk food consumption or healthy food consumption, physical activities, lifestyle changes before and after the pandemic, sleep quality, screening time, etc