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Origin of cratering features on meteorites surface

Cratering features are observed on the surface of planetary bodies and on their moon’s surface, small size cratering features are observed on the surface of moons, asteroids, meteoroids, and meteorites. To investigate in detail the formation or the cause or origin of small size cratering features on the surface of meteorites, five iron meteorites namely Sikhote Alline – 1 No., Campo-del Cielo – 2 No., unknown iron meteorites – 3 Nos and a stony meteorite Chelyabinsk were undertaken with respect to earth rocks. From the studies conducted, it is concluded that the cratering features observed on meteorites are from the time our present solar system came into existence, it may either be pre-solar dust, present solar dust or fragments from the supernova explosion. This paper reports or documents a detail study to search the cause or origin of small size cratering features on the meteorite surface, which is one of the most important characteristic feature in recognizing a meteorite from a terrestrial rock.

Published by: Raju D. Jadhav, Harishchandra B. Mali

Author: Raju D. Jadhav

Paper ID: V5I5-1158

Paper Status: published

Published: September 23, 2019

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Research Paper

Prevalence of depression among elderly people in old age homes, Chandigarh

In India, there has been a considerable increase in the elderly population. According to census 2011, there are nearly 104 million elderly persons in India. A systemic review reported a median prevalence of 21.9% for depression among the elderly in India. Amongst the elderly population due to factors such as chronic illness loneliness and financial dependence they are more prone to depression as compared to other populations. OBJECTIVES- To assess the prevalence of depression among elderly people residing in the old age home in Chandigarh and its association with socio-demographic variables. METHODS- Three old age homes were selected randomly out of which 50 elderly people were selected through a convenient sampling technique. GDS was applied in all the individuals to assess the depression prevalence. RESULTS- This study showed that males were having more severe depression as compared to females. Mild depression was greater among females. There was a significant association of religion (p=0.05) and sex (p = 0.01) with depression. Those who were financially dependent had greater depression as compared to those who were financially independent. CONCLUSION- Depressive disorder was highly prevalent among the elderly population residing in the old age homes.

Published by: Nitika Kaushal, Suchpreet Kaur, Dr. Neelam Kaur, Dr. Davinder Singh

Author: Nitika Kaushal

Paper ID: V5I5-1172

Paper Status: published

Published: September 20, 2019

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Research Paper

Prevalence and risk factors of non -communicable disease among population attending medical camp organized by Ayush Healthcare in Bakhtawarpur, Delhi

An unhealthy lifestyle that includes exposure of an individual to risk factors such as smoking and alcohol with lack of physical activity and hereditary characteristics of some diseases may lead to non communicable disease which is currently the leading cause of preventable death and disability in India and the four major identified non communicable disease(NCDs) are diabetes, chronic respiratory disease, cardiovascular disease(heart attacks and strokes) and cancer. NCDs are the leading cause of death, accounting for over 60% of all mortality cases in India placing them ahead of communicable disease, Maternal, prenatal and nutritional conditions (WHO 2014). India being the populous country of about 1.3 billion, contributes more than 2/3rd of total death due to NCDs (WHO, 2014; united nation statistics division). Methods-A cross-sectional study was carried out in July 2019 in the population above 30 years of age attending the medical check-up camp organized by Ayush Healthcare, BakhtawarPur, Delhi. A quantitative approach was used to assess the population. Sample Size was 50 and used a convenient sampling technique. Data collection tool was CBAC form of NPCDCS containing 6 parameters to assess population under having the risk of NCDs & clinical examination was done using BP apparatus, Glucometer, height and weight measurement. The method of data collection was the Clinical examination and interview technique. Data was entered and analyzed using SPSS version 21.0. Conclusion-Prevalence of risk of NCD using CBAC was found to be significantly associated with family history (P= 0.001 ODR=14) ,physical activity (P=0.003, ODR=15.1 ) and smoking (P=0.02) , RBS (P =0.002, ODR=10.6), systolic BP (P=0.04 ODR=5). When Clinical parameters were used to identify the risk of having NCD, it was found that variable like sex (P=0.03 ODR=0.2), family history (P=0.01, ODR=9.5) , waist measurement (P=0.02) , BMI (P=0.01 ODR=0.69) , RBS (P=0.02 ODR=0.69) Systolic BP (P<0.001 , ODR=0.47) and diastolic BP (P<0.001, ODR = 0.56) were statistically associated with risk of NCD.

Published by: Komal Preet, Suchpreet Kaur, Dr. Neelam Kaur, Dr. Davinder Singh

Author: Komal Preet

Paper ID: V5I5-1171

Paper Status: published

Published: September 20, 2019

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Case Study

EVA- A performance appraisal Project Management Tool

Efficient Management of projects in construction industries is becoming a challenge with the passing time. Many project managers manage their project performance by comparing planned to actual results. Earned Value Analysis is not only a planning tool but controlling tool which is used during the execution phase of project to check if the project is ahead or behind the schedule and if it is over budget or under budget. Earned Value Analysis can track project at any stage and helps the remaining project. So, it gives an idea about the approximation of the project to the project managers or the respective firm.

Published by: Duhita U. Paithankar, Gaurav G. Jadhav, Sangram S. Patil, Amruta A. Lakade, Abhay. M. Joshi, A. K. Gupta

Author: Duhita U. Paithankar

Paper ID: V5I5-1174

Paper Status: published

Published: September 19, 2019

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Case Study

Monitoring and controlling tool for project management

Construction industries are facing challenges day by day .the industry contributes to the growth of our company to a large extent.one of the main problem that the industry faces is project delay. this can be caused due to various reasons like a deviation from the initial plan, scarcity of resources, poor planning, poor execution, etc. This causes the project to go over the expected budget and fails to complete within the scheduled time. The construction itself becomes costlier Amidst all these challenges it is very crucial to improve the performance of a project with respect to Schedule and Cost. Earned Value Analysis is an important tool in analyzing the performance of any construction project. It measures the project progress and helps in identifying the critical activities thereby bringing the project on schedule. The Earned Value Analysis (EVA) is a very effective tool in measuring the progress of contractors in external projects. Computation of earned value can be part of audit activity, or it can be integrated into the progress monitoring system.

Published by: Shrirang Krishnat Mane, Pratik R. Barad, Vishwajeet S. Kadam, Amruta A. Lakade, Abhay M. Joshi, A. K. Gupta

Author: Shrirang Krishnat Mane

Paper ID: V5I5-1173

Paper Status: published

Published: September 19, 2019

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Research Paper

Rainfall prediction using modified linear regression

Analytics usually involves finding out past historical knowledge to analysis potential trends. atmospheric phenomenon is that the state of the atmosphere at a given time in terms of weather variables like precipitation, cloud conditions, temperature, etc., the prevailing models use data processing techniques to predict the precipitation. the most disadvantage of those systems is that it doesn't offer associate estimates of the expected precipitation. The system calculates the average of values and perceives the state of the atmosphere, which doesn't yield estimate results. This paper represents a mathematical methodology referred to as regression to predict the precipitation in varied districts in the southern states of Bharat. The regression methodology is changed to get the foremost optimum error proportion by iterating and adding some proportion of error to the input values. This methodology provides an associate estimate of precipitation exploitation different atmospherical parameters like average temperature and inclementness to predict the precipitation. The regression is applied to the set of knowledge and also the coefficients area unit accustomed predict the precipitation supported the corresponding values of the parameters. the most advantage of this model is that this model estimates the precipitation supported the previous correlation between the various atmospherical parameters. Thus, associate estimate price of what the precipitation may well be at a given period and place will be found simply.

Published by: Aniket Dixit

Author: Aniket Dixit

Paper ID: V5I5-1168

Paper Status: published

Published: September 19, 2019

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