Pets and stress
There is increasing recognition of the therapeutic functions pets play in relation to mental health. Many studies have been carried out proving that the effects of pets are beneficial to overall human health. This descriptive analysis explored the relationship between pet ownership, attachment, and psychological health among college students in Mumbai. Animals that one keeps as a pet offers mental as physical health benefits. This existing evidence mentioned in this study is surveyed and responses show a direct correlation between pets and lower stress.
Published by: Khushboo Hemnani, Ayushi Dhanesha
Author: Khushboo Hemnani
Paper ID: V6I4-1423
Paper Status: published
Published: August 23, 2020
The motion of weak spherical shock waves in highly viscous medium
The interaction of shock waves with viscosity is one of the central problems in the supersonic regime of compressible fluid flow. The propagation of weak spherical shock waves in highly viscous uniform medium has been investigated by CCW method. It is found that the shock velocity and shock strength both decreases as shock advances for low viscous region of a medium to the high viscous region. The pressure and particle velocity behind strong shock decreases with adiabatic index and Small decreasement in the pressure and particle velocity is found with the increase in viscosity coefficient. It is shown that applications of the CCW method and the neglect of overtaking disturbances are equivalent.
Published by: Dr. Arvind Kumar, Dr. Kamlesh Kumar, Dr. Satyendra Prakash, Dr. Harminder Singh
Author: Dr. Arvind Kumar
Paper ID: V6I4-1407
Paper Status: published
Published: August 23, 2020
Modeling and data analysis for the evolution of COVID-19 in Ethiopia
COVID-19 is currently affecting over 215 countries worldwide and poses serious threats to public health not only the health system but also economics, education, transportation, politics. The objective of this paper was modeling the evolution COVID-19 data using deterministic and stochastic models and investigates how the model parameters depend on the population sizes in Ethiopia and we extend the deterministic SEIR (Susceptible, Exposed, Infectious, Recovered) model to simulate disease outbreak scenarios and to quantify the potential impact of a host-based early warning capability to mitigate pathogen transmission during an outbreak. Here, we show that real-time predictions of COVID-19 infections are extremely complex to errors in data collection and crucially depend on the last available data. We test these ideas in both using deterministic and stochastic models (susceptible–exposed–infected–recovered) models that are currently used to forecast the evolution of the COVID-19 epidemic. Our goal is to show how uncertainties arising from both poor data quality and inadequate estimations of model parameters (incubation, infection, and recovery rates) promulgate to long-term extrapolations of infection counts. Finally is to be better to understand the evolution of COVID-19 in Ethiopia, we apply a susceptible–exposed–infected–recovered (SEIR) model to the analysis of data from the Ethiopian Department of Health. Based on systematic and numerical results, as well on the data, the basic reproduction number is estimated to R_0= 1.12, we have analyzed SEIR model and concluded with saturated incidence rate and we observed that the reproduction number plays an important role to control the disease, when R_0 1, the endemic equilibrium is locally asymptotically stable, so based on the analysis of the result was indicates the diseases was reached outbreak time so that the responsible body will create more awareness in the society for the seriousness of the diseases
Published by: Wudneh Ketema
Author: Wudneh Ketema
Paper ID: V6I4-1391
Paper Status: published
Published: August 23, 2020
Experimental study on characteristics of bacterial concrete
Concrete is a building material and is widely used in all types of construction works. As we know the concrete is good in compression and week in tension due to microcrack occurs when the load applied on it. Due to these micro-cracks, the concrete loses its strength and water enters through these cracks which causes corrosion to steel. This initiates corrosion makes the whole structure vulnerable and leads to the failure of the structure. Thus, to overcome this problem a technique of adding bacteria into the concrete in order to enhance its properties like compressive strength. The Bacteria may be of liquid or powder form. Together it is called bacterial concrete, in this concrete, the bacteria (Bacillus subtillis) and calcite react with water forms a by-product called calcium carbonate (limestone), which fills the crack and makes the structure sound as it was earlier. This process is called microbiologically induced calcite precipitation. The tests on materials were conducted for the best results and the tests are specific gravity, consistency, Impact Value Test, Shape Test, Sieve Analysis, PH Value (Bacteria), Bacteria Count, etc. The different percentages of bacteria we used in order to know which percentage gives maximum strength. The percentages were made with reference to the amount of cement added into the concrete, the percentages by weight of cement we tried are 1.68%, 2.52%,3.17%,10%,15%, and 20%. And we found 15% of bacterial concrete gave the highest compressive strength in 3 and 7 days test, the result of all tests are given in compressive strength table 2.
Published by: Dr. Aravinthan K., Arshad Rashid, Syed Afnan Asad, Hyder Ali, Abdul Bhasha
Author: Dr. Aravinthan K.
Paper ID: V6I4-1402
Paper Status: published
Published: August 21, 2020
Accelerating sales for Citrix Education Services using Logistic Regression
This paper aims to establish an efficient model for predicting company sales by leveraging logistic regression's strengths. A real dataset of Citrix used to figure out a significant variable affecting sales acceleration and to find an appropriate metric to measure unstructured information. To build an efficient model, we used two statistical methods; logistic regression and linear discriminant analysis. The classification accuracy of the models compared using Fisher Analysis, ROC curves, and confusion matrix. In regression analysis, it is evident that response and predictors some times may suffer from correlation issues. By definition, Multicollinearity is that two or more predictors are correlated; if this happens, the coefficients' standard error will increase. Increased standard errors mean that the coefficients for some or all independent variables may be significantly different from 0. In other words, Multicollinearity makes some variables statistically insignificant by overinflating the standard errors when they should be significant. In this paper, we concentrate on logistic regression analysis, linear discriminant analysis, Multicollinearity, fisher analysis, and consequences and effects on the reliability of the regression model
Published by: A. Kalyan Aravind Kumar
Author: A. Kalyan Aravind Kumar
Paper ID: V6I4-1394
Paper Status: published
Published: August 20, 2020
Evaluation of crop depredation by Asian Elephant (Elephas maximus) in Badrama Wildlife Sanctuary, Odisha, India
We investigated the human-elephant conflict in eight different ranges in Badrama Wildlife Sanctuary under Bamra (Wildlife) Division, Odisha, India. Elephants were responsible for human casualty, large-scale crop, and property damage; which caused serious human-elephant conflicts in the region were assessed. During 2011-12 – 2015-16, a total of 03 nos. of human killing and 380 human injury cases caused by elephants were recorded. Damage to agricultural crops by elephant was of varying extents i.e. 212.89 acres. As a result, people have developed an antagonistic attitude towards the elephant which adversely affects conservation efforts.
Published by: Barun Kumar Behera, Rabindra Kumar Mishra, Hemanta Kumar Sahu, Prithwiraj Sahu, Sanath Kumar N.
Author: Barun Kumar Behera
Paper ID: V6I4-1432
Paper Status: published
Published: August 20, 2020
