Volume 10 | Issue 5 |

 Abstract

The purpose of the study was designed to examine the impact of total resistance exercise on selected physical fitness components such as shoulder strength and strength endurance among school girls. The study was randomly selected 30 (thirty) girls from Hollotoli School, Dimapur, Nagaland and their age groups were from 16 to 18 years old. The subjects were divided into two equal groups and consisting 15 students in each. The groups were name as experimental group and control group. Total resistance exercise was assigned with experimental group for 12 weeks, one hour a day and thrice in a week and control group does not undergo for any specific training. Pull up and flexed leg sit-ups were employed as tool for shoulder strength and strength endurance respectively in the study. The test was implemented as pre and post-test for both groups to find out the significance of Total Resistance Exercise on physical fitness components. The statistical technique, ANCOVA was applied for finding the result and the 0.05 level of confidence was fixed as the level of significance for the study. The result of the study showed that there was a significant difference between experimental group and control group on shoulder strength and strength endurance.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Total Resistance Exercise, Shoulder Strength, Strength Endurance

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study investigates the impact of Goods and Services Taxes on small businesses. Tax policies have such a big impact on the economy in terms of both efficiencies and equity. As many author said GST is the only indirect tax which has been affecting our sections of our country. BUT GST is the only tax which replaced the VAT, state tax, central based tax. Many developed countries where using GST like Canada, U.K, Australia where implemented the GST in successful manner. In future we will have different kind of tax. Even that time also the situation the small trader even an educated people will not understand unless we will get to have knowledge and understanding amount of the tax. For Indian government small traders and medium traders are one of the pillars. Here small traders can fill the registration through online itself. In VAT the tax payment where differed from state to state in some states we have earn 10 lakhs we should pay VAT but for some states if its 5 lakhs itself we need to pay VAT. So it leads to confusion and its not much effective. So compare to that in GST we have one nation one tax. Even in central based tax during sales the small and medium scale business affect due to there purchase cost of product to customers has disappoint many small traders but GST stopped all these. So that small and medium traders can go anywhere and can expand there revenue and business any where in India

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords:Developed countries,one nation one tax country, Traders, Goods and service Tax.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Domestic violence, post-traumatic stress disorder, gender inequality, belief systems

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI: Artificial intelligence CT: Computed tomography DXA: Dual X-ray absorptiometry SKIMS: Sher-i-Kashmir Institute of Medical Sciences Srinagar S.M.H.S: Shri Maharaja Hari Singh Srinagar MRI: Magnetic resonance imaging PET: Positron emission tomography US: Ultrasound

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sentiment Analysis of the comment textual content from the social media is beneficial for understanding the general public opinion on the product review. The core of sentiment analysis is the text classification task, and distinct words have different contributions to classification. The classification provides that the product is positive or negative primarily based on the comment text provided by the customers of the product. Our proposed system uses the conventional TF-IDF algorithm and generates weighted word vectors. The weighted term vectors are given as input to the BiLSTM to capture the context information effectively. The sentiment is positive or negative of the comment is obtained by feed forward neural network classifier. The system will be tested with the comment text collected by the customer product review from social media, e-commerce site, and the result indicates that the product has the positive or negative reviews.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiment Analysis; BiLSTM; Machine Learning Algorithms; Product Reviews.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The exposure or emergence of digitalisation has not only affected our daily life but it has affected legal aspects and legal philosophy also. It has become quite difficult to connect with people without the help of technology because technology is playing a major role in our daily lives. Everyone is depending upon technology for work, entertainment, connecting with different people. It is playing a vital role in the field of law. The researcher shall will try to define types of electronic evidence. Also a close look on guidelines of Legality of Electronic evidence shall be drawn along with challenges that Electronic Evidence faces. An elaborative look shall be given along several Case Laws in Relation to electronic evidence. And finally the necessity and importance of Electronic evidence shall be explained briefly.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Challenges to the Admissibility of the Electronic Evidence

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study has been undertaken to investigate the toxicity of wastewater generated by automobile service stations in the Nagpur city. Exhausted engine oil wastewater was collected from some significant automobile service stations of Nagpur city during survey and combined homogenous wastewater was used for the toxicity testing experiments. Poly aromatic hydrocarbons (PAHs), Poly Chlorinated Biphenyls (PCBs), Heavy metals, detergents and other toxicants were tested. Poly aromatic hydrocarbons were detected in this wastewater such as Naphthalene 32?g/l, Fluorene 3.29?g/l, Phenanthrene 20.09?g/l, Anthracene 10.26?g/l, Fluoranthene 2.33?g/l, Pyrene 21.65?g/l, Benz(a) anthracene 1.69?g/l and Benzo(a)pyrene 2.05?g/l. Copper, Cobalt, Iron, Cadmium, Nickel, Zinc and Manganese were 0.279mg/l, 0.069mg/l, 26.047mg/l, 0.021mg/l, 0.04mg/l, 0.530mg/l and 1.344mg/l respectively detected. Wastewater pH was 7.45. Values of NO3?, COD, Oil and Grease in this wastewater generated were reported more than permissible limit of effluent standard. Study also reveals that most of these service stations are lacking basic infrastructure facilities for vehicular washing and subsequent wastewater treatment. Only eleven service stations were found with systematic effluent treatment plants (ETPs). It is imperative to use effective technologies to reduce the water consumption, wastewater generation and to reuse the wastewater after vehicular servicing.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Automobile service stations, Exhausted engine oil, Effluent treatment plants (ETPs).

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The details of South Dinajpur and the language of women

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

The details of South Dinajpur and the language of women

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Machine learning models are used to solve different nonlinear and complex problems. This paper presents three machine learning approaches to design and develop an intelligent rapid battery charger system. Our intelligent rapid battery system can decide the charging current using two inputs i.e. temperature and temperature gradient. For design purposes, we developed Artificial Neural Networks (ANN), K-Nearest Neighbor (KNN) and Multi-Regression based machine learning models for a rapid battery charger system. We trained all three machine learning models in python. For results, we observe that the performance of ANN outperforms KNN and multi-regression machine learning models.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, ANN, KNN, Multi-Regression

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The book traces the history and development of a mutual organization in financial sector called SWIFT, the society for worldwide interbank financial Telecommunication. Over the last 40 years, SWIFT has served the financial the financial services sector as proprietary communication platform, provided of product and services, standards developer, and conference organizers. Founded to create efficiencies by replacing telegram and telex for international payments, SWIFT now forms a core part of the financial services infrastructure. It is widely regarded as the most secure trusted third-party network in the world serving 212 countries and 10,000 banking organization, securities institution and corporate customers. Through of every phases of its development, SWIFT has maintained the status of industry cooperative, thus presenting an opportunity to study broader themes of globalization.The book traces the history and development of a mutual organization in financial sector called SWIFT, the society for worldwide interbank financial Telecommunication. Over the last 40 years, SWIFT has served the financial the financial services sector as proprietary communication platform, provided of product and services, standards developer, and conference organizers. Founded to create efficiencies by replacing telegram and telex for international payments, SWIFT now forms a core part of the financial services infrastructure. It is widely regarded as the most secure trusted third-party network in the world serving 212 countries and 10,000 banking organization, securities institution and corporate customers. Through of every phases of its development, SWIFT has maintained the status of industry cooperative, thus presenting an opportunity to study broader themes of globalization.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Research Methodology, Objectives

  License

Creative Commons Attribution 4.0 and The Open Definition