Prediction of Heart Disease using Machine Learning Algorithms: A Survey

According to recent survey by WHO organisation 17.5 million people dead each year. It will increase to 75 million in the year 2030[1].Medical professionals working in the field of heart disease have their own limitation, they can predict chance of heart attack up to 67% accuracy[2], with the current epidemic scenario doctors need a support system for more accurate prediction of heart disease. Machine learning algorithm and deep learning opens new door opportunities for precise predication of heart attack. Paper provideslot information about state of art methods in Machine learning and deep learning. An analytical comparison has been provided to help new researches’ working in this field

ANALYSIS OF JOB STRESS AFFECTING PERFORMANCE OF TECHNICAL TEACHERS

In this modern society job stress is a much talked complex phenomena leading to many disastrous consequences. Moderate level of stress that motivates a teacher is good. But as per the review of literature at international and national levels scenarios; some of the findings of the study reveals that majority of teachers faces serious problems of job stress due to various reasons such as work overload, lack of resources, role ambiguity, fair/less compensation, inadequate work environment etc. Also poor relations with colleagues, students’ indiscipline, lack of support from higher authorities, negative community attitude, farrago of thoughts related to profession and improper trainings contributes greatly in enhancing the problem. The quality of Technical education is serious concern of current situation which poses many issues to the future of technical youth. In this research it is tried to analyses the causes of stress and impact on quality because of stress. This will be done by designing the questionnaire depicting various reasons of stress in the educational Institutions as mentioned above. After that analysis will be done before coming the conclusion by applying various statistical methods on the data collected.  The results will help us in identifying the key factors impacting quality of Technical Teachers. Hence this research is expected to contribute towards increase in the productivity of teachers in technical education. In future this research can be applied to the teacher community as a whole.&nbsp

Cardiometabolic alterations in the interplay of covid-19 and diabetes: Current knowledge and future avenues

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (coronavirus disease 2019 [COVID-19]) pandemic has raged for almost two years, with few signs of a sustained abatement or remission [...]

Oviposition behaviour and life-history performance of Epiphyas postvittana (Lepidoptera: Tortricidae) on the leaves of Vitis vinifera (Vitales: Vitaceae) infected with Botrytis cinerea (Helotiales: Sclerotiniaceae)

In three-way interaction systems involving an insect and a plant-pathogenic fungus, both occurring on the same plant, the insects generally gain in terms of their growth and metabolism. In this study we have tested how the infection by Botrytis cinerea on the leaves of Vitis vinifera influences the life-history performance of larvae and the oviposition behaviour of Epiphyas postvittana. We conducted free-choice and two-choice experiments to test the oviposition behaviour of gravid E. postvittana. We also characterized the effects of B. cinerea-infected leaves of V. vinifera on the growth and development of E. postvittana. We found that the oviposition preference of E. postvittana was strongly influenced by the olfactory and tactile cues. Volatiles from B. cinerea-infected plants significantly deterred oviposition and in consequence, adult females laid fewer number of eggs on B. cinerea-infected leaves of V. vinifera compared with uninfected leaves. The mortality rate of larvae fed on B. cinerea-infected leaves were not significantly different from the larvae fed on uninfected leaves of V. vinifera. Whereas, the larvae of E. postvittana fed on B. cinerea-infected leaves had significantly shorter developmental period, attained heavier pupal mass, and on becoming adults they laid more numbers of eggs than the larvae that were enabled to feed on uninfected leaves of V. vinifera. We also reared the larvae of E. postvittana on exclusive-fungus diet but all larvae died before pupation indicating that for a better larval performance and adult reproductive output of E. postvittana, the V. vinifera-B. cinerea interacting system is but imperative

Estimation of Hypsometric Integral and Groundwater Potential Zones of Amarja Reservoir Catchment, Karnataka, India using SRTM Data and Geospatial Tools

Hypsometric integral always play a significant role in watershed health condition. It is nothing but the total time taken in reduction of land area to its vile. Drainage network and studies of various landform features always help in the search of groundwater resources. Morphometric parameter of a drainage basin always helps to understand water use and land use of the basin. The present study aims to find out the geological stages through hypsometric integral values and groundwater potential zones using morphometric parameters to classify it into very good, good, moderate and poor zones using GIS tools. The total area of catchment is 544.76 km2, which is surrounded by Deccan traps. The catchment is further separated into 5 sub-basins on the basis of 4th order stream to get the more specific result. The SRTM (Shuttle Radar Topography Mission) data have been generated from USGS website and further analysed to identify the drainage pattern, slope, contours etc. using ArcGIS 10.0 software. The most important parameters like linear, areal and relief for groundwater investigation have been analysed. The analysis revealed that the hypsometric integral value of sub-basin IV of Amarja reservoir catchment is 0.30 which is showing the late mature stage of the basin. Apart from that, the values of sub-basins II, III and V are 0.54, 0.50 and 0.43 respectively, represent the mature stage while sub-basin I has an integral value of 0.67 which represents the young stage of the basin and it is more susceptible for erosion. Drainage pattern of the catchment could be mainly described as sub dendritic to dendritic. Drainage texture was found to vary from 0.41 to 1.16 which is an indicative of massive coarse to granular texture. An average bifurcation ratio of basin is estimated 3.51 which is an indicator of structural control over the basin. Slope values were found to be in a range from 0.71 to 5.73 degree which indicates very gentle to moderate slop