Volume 9 | Issue 9 |

 Abstract

Purvanchal is the eastern part of Uttar Pradesh comprises of seventeen districts. MSMEs are the registered enterprises as per the criteria defined under the MSMED Act, 2006. The MSME sector contributes a significant part in the export, employment and GDP of the country. The government of Uttar Pradesh is concentrating on this sector and initiated work on project of Ganga Expressway, Purvanchal expressway, Gorakhpur Link Expressway and MSM parks in various districts of Purvanchal. The critical issues regarding this sector are lack of skilled workers, inadequate capital, promotion, inadequate infrastructure facilities, lack of access to new technology, etc. The measures to overcome these issues could be: providing credit facilities, promotional platforms, introducing new technology, run programs that focus on skilled labour etc. The districts need to focus on the exportable items, manufacturing and service clusters as these have potential for the same, so that the growth and expansion of MSME sector can be ensured.

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 Keywords

Purvanchal, MSMEs, Exportable items, Manufacturing and Service Cluster

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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

IOT, PIR Sensor, Smoke Sensor, Ultrasonic Sensor, GSM Module

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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

Ethics, Cyber Crime, Issues and Challenges in India, Computer Security

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Guduchi (Tinospora Cordifolia Miers) is one of the widely used herbs for therapeutic purpose. In present study, Guduchi lehya which is used as immune booster is being prepared. For the preparation of Guduchi lehya, various physical examinations are examined. It has been proved beneficial and economical too.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Tinospora Cordifolia linn, lehya, avalehya, preparaion methods, evaluation tests.

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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

M. K. Gandhi, Champaran Satyagraha, Constructive Programme, Social Work, Constructive Work

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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

Carprofen, Reverse Phase HPLC, Validation, Assay

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Covid-19 is a contagious infection caused by the newly identified corona virus, which was originally seen in Wuhan city, China, in December 2019. It has now spread all over the world in a very short time of a few months. This is a brand new virus so scientists are trying their best to understand it. There is a lot to learn about the corona virus. Overall, it has been estimated that the corona virus can survive for 3 to 6 days at different material surfaces and for several hours in the air. It is mainly spread by droplets containing saliva or droplet particles when an infected person coughs or sneezes and that is why the virus sometimes lands on the surface. Hands touch many surfaces and come in contact with virus and get contaminated, from these contaminated hands virus can transmit to the eyes, nose or mouth. When the virus enters in to the body the person becomes infected and get ill, thus to stop the spreading of infectious corona virus rapidly, keep hands away from contaminated unknown surfaces, wash hands regularly using either soap or water and maintain physical distancing, and avoid social gatherings. These are considered to be as the most important activities to prevent the spread of the virus. However, the question arises, what should we do to keep our homes away from getting contaminated from virus and how can we fight the virus? During the study, we will discuss methods and chemistry for preventing and controlling the spread of corona virus. Chemistry plays a key role in understanding the structure of the virus and in developing chemical preventive measures, and also introduce new drugs to cure Covid-19 infection. The collaboration between Chemists and biomedical researchers and also the interdisciplinary interactions between different branches of the chemical community are all together essential to develop the needful result in time. This study relies on the literature available online. Still further new studies, researches are required to eliminate and prevent infection.

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 Keywords

Contagious infection, Chemical preventive measures, Biological chemistry, Covid-19, SARS-CoV-2

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 Abstract

Background: The results of Physiotherapeutic interventions for COVID-19 are less vocal. Also, few studies which have been published have not received the recognition which fall under the category of Physiotherapy. Hence, this systematic review is taken up to derive the significant strategy to deal the current deadliest pandemic. Objective: To determine the relative effectiveness of Physiotherapeutic regimens on qualitative and quantitative respiratory parameters and compare the qualitative and quantitative measures of the well published physiotherapeutic regimens for COVID-19. Method: PRISMA was followed for selection of articles for the study. Experimental studies were searched in Pubmed, Google scholar and Cochrane Library using related keywords and advanced option from 2019 to 2021. PEDro scoring was used to assess the Quality of research. Review manager software 5.3 was used to assess Risk of bias and homogeneity. The study followed PRISMA guidelines to the review and Forest plot was developed for the assessment of effectiveness of the treatment. A total of 38 trials were included in the study. Main results: The schedule of the treatment varied greatly depending on the severity of the subject. Subgroup analysis performed on qualitative and quantitative improvement of COVID after Exercise therapy regimen showed significant statistical difference. Conclusion: The result of the present study shows strong evidence to support that Exercise therapy regimen works efficiently when used as rehabilitation purpose in COVID-19 subjects by improving by qualitative and quantitative parameters.

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 Keywords

Meta-analysis, Systematic Review, Qualitative, Quantitative, respiratory, cardiac, parameters, COVID

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Keywords: romantic, soldiers, blatantly, Chocolate Cream Soldier, discussion

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Over the years the number of students dropping out of school is growing rapidly. High enrolment rates have become a major threat to many educational institutions or universities. The student enters the institution with many dreams and expectations. When expectations do not meet or certain factors such as demographics will begin to degrade them from their registered system. It is a major threat to all educational institutions. Various process of size reduction, including feature selection and feature removal. Feature selection is a step-by-step process used to select an appropriate attribute from a given attribute set. In the process of feature extraction, it involves the conversion of high-density data with low corresponding size. Feature selection includes things like academics, personal characteristics, psychological factors, health issues, teacher perspective, student behaviour. The project we introduce a student dropout prediction method by using K Nearest Neighbour, Random Forest, Naive-Bayes, Decision Tree in Python language. Student-related information is collected from a variety of sources as large data is required to predict things. The data collected contains detailed information including basic information, parental educational background, family-student relationships, community performance and student learning. Machine learning strategies are applied to selected features that target students and our main task is to apply different techniques to selected features after which to apply different metrics to each algorithm. Comparisons are made for machine learning algorithms for each metric and the model that provides the best results is considered the best. There are many factors that affect a student's ability to do school, as mentioned above. Early prediction of resignation helps an organization to keep students from the right curriculum.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dropout, Identification, Factors, Machine Learning Algorithms, Prediction.

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Creative Commons Attribution 4.0 and The Open Definition