Volume 8 | Issue 12 |

 Abstract

The present study is an attempt to highlight the economics of potato cultivation in village Sherpur of district Shimla of Himachal Pradesh. The study is primarily based on primary data but for physical, and socio-economic aspects of the village, secondary data are also utilized. The primary data regarding various agricultural operations or activities like land preparation, sowing, irrigation, manure application (farm yard manure), weeding, pesticide spray, harvesting, transportation, and marketing of the produce under potato cultivation as well as the cost involved in each activity is collected from the farmers of this village through field survey conducted in 2019 under which structured interview method was adopted. A comparative study regarding the cost-benefit analysis for potato cultivation per acre of land is exercised in the case of self/family members involved in potato cultivation in this village which highlights that the net return is 3.87 times more than the cost of cultivation of potato. The net return can be increased if the farmer adopts natural farming instead of doing conventional farming.

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 Keywords

Potato, conventional farming, manure application, cash crop, cost-benefit analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The main aim of this research is to discuss how machine learning methods may be used to anticipate subterranean cavern displacement. This research presents a series of new machine learning-based deliverability prediction models for subterranean caves. One of the most dangerous occurrences that may lead to the collapse of buildings is the displacement of rock mass in tunnels and subterranean constructions. Underground engineering technologies are becoming more commonplace across the globe. Complex and unpredictable geology and geomechanics create obstacles and need novel strategies in underground geoengineering [1]. In addition to the massive overburden and extreme temperatures, these issues need complex engineering design. Oil engineering, nuclear waste disposal, energy storage and CO2 storage are only a few examples of additional environmental issues. Geotechnical data is frequently produced in enormous quantities during big projects. Using this data to make better decisions and enhance design and construction processes [1] may be very beneficial. As a result, consistent methods for gathering, organizing, and displaying collected data must be established. It is possible to examine this large data using machine learning algorithms. With regard to cavern displacement predictions, the research shows how machine learning approaches may be used.

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 Keywords

Machine learning, artificial neural network (ANN), support vector machine (SVM), Underground Caverns, rock caverns, underground space.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Constitution, Protective discrimination, Social justice, Legislation, society.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A Startup India portal was also launched for facilitation of various related activities. Startups are pillars of Economic Growth involving innovation with Technology which strengthens the economic benefits for the Economy Startups are pillars of Economic Growth involving innovation with Technology which strengthens the economic benefits for the Economy. Existing frameworks in India are inadequate to fulfil the aspirations of its population and become a Global Power. Startups and Entrepreneurship has a key role to play in making a country as a Knowledge Super power. Number of factors drive Indian startup ecosystem such as huge funding, advancement in technology, demographic transition etc. which paves the way to young startups.

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 Keywords

Startups, super power, economics growth.

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Creative Commons Attribution 4.0 and The Open Definition

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The mental therapy of obsessive-compulsive disorder (OCD) has emerged as a story of relative success inside the area of psychological health.This study examine 108 cases of OCD patients between the age gatherings of 18 to 55yrs old and was equally appropriated among male and female, urban and rural area and among various symptom patterns of Obsessive Compulsive Disorder was diagnosed by a trained psychiatrist using DSM IV-TR (2000) criteria and it be drawn from different Psychiatric clinics of Kerala. Data analyze through 't' test, Mean, Standard Deviation, Descriptive statistics, and Computation of the correlation and regression analysis as per need. There was huge Mean Difference between Cognitive Behavior Therapy and Pharmacotherapy and just Pharmacotherapy in Contamination Symptom Pattern of Obsessive-Compulsive Disorder Patients. So it uncovers that Cognitive Behavior Therapy and Pharmacotherapy is more compelling than just pharmacotherapy in Contamination symptom design. The superb rationale of the current investigation was to investigate the relationship of knowledge and motivation for change in patients experiencing obsessive compulsive disorder.

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 Keywords

obsessive, compulsive,disorder, Contamination,Symptom, Pattern, etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Dissolution, generic, drug, Temperature, kinetic, etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A performance anti-design depicts an as often as possible made mistake, while implementing software and which brings about performance problems. Since the mistake is made regularly and well known, solid approaches for an answer can be proposed. To recognize anti-patterns in gathered information, analyze IT utilizes a rule motor. Along these lines, a rule can speak to an anti-design by comparing the gathered information with the qualities of the anti-design. At the point when a rule recognizes an anti-design, the analyze IT investigation automatically can give solid answers for a performance problem. In this study APM tools will be developing to handle this problem. An APM instrument tracks steps in executions of the monitored application and gathers performance information.

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 Keywords

Performance, software, APM, anti-design, instrument

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In Data mining there are heaps of strategies are utilized to distinguish the anomaly by causing the bunches of information and afterward to recognize the exception from them. All in all Clustering technique assumes a significant function in information mining. Clustering implies gathering the comparative information protests together dependent on the trademark they have. Exception Detection is a significant issue in Data mining; especially it has been utilized to recognize and wipe out odd information objects from given informational index where anomaly is the information thing whose worth falls outside the limits in the example information may demonstrate abnormal information. In this work we have proposed a grouping-based anomaly identification calculation for powerful information mining which uses upgraded k-implies clustering calculation to group the informational collections and weight-based focus approach. In proposed approach, two procedures are consolidated to effectively discover the anomaly from the informational index. Edge worth can be determined automatically by taking supreme estimation of least and most extreme estimation of a specific group. The test results show that upgraded technique takes least computational time and focuses on decreasing the exception that could improve proficiency of k-implies grouping for accomplishing the better-qualityclusters.

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 Keywords

Data mining, K-means clustering, density based outlier detection.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This article explores the concept of EI in relation with Job stress and job Performance. Emotional Intelligence among nurses is a major concept without which the nurses find it hard to justify the various roles in their profession. Every nurse might experience conflict. The conflict can be the due to differing opinion, challenging family member, personality clashes, and the general stress. Dealing with conflict is uncomfortable. Hence the practice of EI enhances the experience of a nurse. EI also improves communication and nurses can cope more effectively with conflicts. Job stress and job performance go hand in hand; hence this review of literature has helped the researcher to understand the relationship between job stress and job performance in Nursing profession.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotional Intelligence, Nurses, Job Stress, Job Satisfaction, Empathy.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

RASHTRIY SHIKSHA NITI EVAM VYAVASAYIK SHIKSHA

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Creative Commons Attribution 4.0 and The Open Definition

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RASHTRIY SHIKSHA NITI EVAM VYAVASAYIK SHIKSHA

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Creative Commons Attribution 4.0 and The Open Definition