Volume 10 | Issue 5

 Abstract

While the global epidemic of Covid-19 affected many sectors, it had a significant impact on digital marketing and advertising on a global, regional, and local level. However, unlike what was observed in other domains such as the economy, human resources, and so on, this impact was mostly favourable. While the virus created a lot of uncertainty among customers and marketers alike in terms of health, social life, economic stability, employment, and so on, it also led to behavioural shifts such as working remotely, spending a lot of time indoors, adopting home-schooling, learning new recipes from the internet, increased attention on health and hygiene, avoiding crowded areas, increased social media engagement, shift toward online content, and so on, and all of these led to behavioural shifts such as working remotely, spending a lot. The behavioural change was mostly towards digital platforms and digital content, which provided marketers and brands with more options than ever before to connect with customers online. Digital medias have offered marketers with a plethora of chances to profit from growing social media participation and a need for digital information. At the same time, this forced marketers to be more conscious of their actions and social responsibilities while applying digital marketing methods. The purpose of this study is to emphasise, analyse, and comprehend the influence of the Covid-19 pandemic on digital marketing and advertising in general.

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Digital Marketing, Advertising, Covid-19, Pandemic, etc

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Human trafficking is a heinous crime against humanity and it is a severe violation of human rights in India as well as across the globe. The issue of trafficking has enticed sufficient public and political concern over the recent years. There is a need to put the victims at the centre of the anti-trafficking policies and a strong emphasis to uphold the rights of the victims. The process of rehabilitation and reintegration of the victims of commercial sexual exploitation commands particular attention. West Bengal has been chosen for this study because the state accounts for around 78% of the trafficked victims nationally. Commercial sexual exploitation (CSE) is the dominant purpose of trafficking in the state. There is a need to focus on the post-rescue life of the victims because after the victims are rescued they are burdened with stigma, shame, fear and a host of other insecurities subjected by the society. They have a lot of difficulty in facing the family and the community and are also at the increased risk of being re-trafficked. What are the existing rehabilitation mechanisms for reintegrating the victims of CSE back into the society in West Bengal?

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Human trafficking, Victims, Commercial sexual exploitation, West Bengal, National Crime Records Bureau, Rehabilitation, Reintegration

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Present study was to examine the change of nutritional value such as protein in sea lobster at freezing time. It has some effect on the protein compositions of the selected lobster, which was taken under the experiment. To observe this study, it revealed that there were few changes in the in the protein composition of lobster in frozen condition after three weeks. This kind of deterioration was occurred by freezing time in addition to protein denaturation. Lobster enriched with protein, but the protein content dropped with processing and storage time; however, for long-time preservation, freezing is the best method when a nutrient is a focus. To conclude that a significant difference between the freezing days as the freezing period increases, the presence of protein in the muscle decreases because of the process of protein Denaturation.

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Sea lobster, protein & sea food

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Healthcare has always been a resources intensive area in terms of technology. Consulting a doctor can result in large consultation fees which could be a great financial load. Access to doctors is also a very big problem as in a lot of rural areas of this country proper access to doctors and hospitals is not available. Medical diagnosis requires heavy machinery, advanced labs, and qualified technicians and doctors. For the upper and middle-class spectrums of the society, the above is not such a problem but for the majority of the population in the country, it is, as they either don't have access to such healthcare or cannot afford the available means. Hence there is a pressing need to make healthcare accessible and affordable. To create a game that helps in identification/detection of Alzheimer disease and stimulate grey matter and improve lifestyle through multipart intervention. Our approach is to identify the symptoms of Alzheimer and to keep the mind mentally strong through games, which exercise different parts of the brain in the Games section, different workouts, and nutrition tips. Combining brain games, and social interaction, the game can guide its users towards a multifaceted, holistic lifestyle change that may help curtail some of the effects of cognitive decline. We translated the research that is out there into a comprehensive and user-friendly game (which are categorized on basis of gender, age and mental condition) and we hope to help you to make a lifestyle change and live a healthier life.

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Alzheimer, Mobile apps, Machine Learning.

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Hyper-spectral non-imaging data provides the spectral range from 400-2500nnm, which has the ability to identify each and every unique material on the surface. Plant leaf identification is a critical task manually and computationally. In the work we have proposed a plant leaf identification system based on non-imaging hyperspectral data and designed our own database for experiments. In this paper we used medical plant (Asparagus, Tulsi, Neem, Panfuti, Tridax, and Justica) samples and developed hyperspectral signature by using field Spec 4 spectroradiometer. In this study we used the statistical method. We applied regression techniques for comparative analysis for Neem with other plants. As per our results, Neem Chlorophyll and Tulsi and Panfuti Chlorophyll content correlation coefficient is 0.98.

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Hyspectral, remote sensing, chlorophyll,

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Naltrexone (NAL), Acetaminophen (ACT), Migraine, revese phase high performace liquid chromatography, validation.

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Credit rating, Quality rating

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Population is increasing with time geometrically which results the expansions of the city as well as expansion in related infrastructure like traffic and transport. It is noticed that the mobility strength and mode is increased. So we felt need for a transport system which is able to transport maximum number of passengers in minimum duration of time. Mass Rapid Transit System (MRTS) is the solution for this problem. MRTS which may base on rail or bus is appreciable among the world and must be a sustainable transport system. From 1863 to 2013 the MRTS is increasing with increase in tier of city in the hierarchy. Now 168 cities in 55 countries using this system.

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MRTS, Nasik Transportation Management, BRTS, Smart City, Sustainability.

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The market demand of the packaging products is a growing market in India. One of the products in the packaging is widely used knows as bags. These bags are used widely in the agricultural and food products. One of the processes which are necessary in the production of the pp woven bags is to cut their handle. There are so many types of punching machines available in the market based on the air compressor and hydraulics. Need of extra equipment with the machine increases its cost and thereby production costs. In the mission of make in India we are using such Chinese machines. Promotion is made in India is the top priority in this project

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Packaging Industry, Productivity,Time

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Because of the increase in construction activity, the accessible sources of natural sand are becoming depleted as a result of the use of sand in construction. High-quality sand can be transported over long distances, causing economic hardship. As a result, the quality of the structure is completely reliant on the partial or complete replacement of alternate material with natural sand. The effect of quarry dust on the mechanical properties of concrete has been experimentally studied and reported in this research work. The concrete was made by partially replacing sand content 20% and 30% by weight with quarry dust. In first stage, concrete with no sand replacement of grade M20 is prepared so as to compare with the other trial cases of concrete having partial quarry dust. 150 mm cube specimens were prepared for the two replacement levels of 20% and 30% to obtain the compressive strength at 28 days. Total no of 9 specimens were made for this research work. From the results, it was observed that the flexural strength of concrete with 20% and 30% quarry dust were higher compared with concrete with no quarry dust. It was found that incorporating quarry dust in concrete improves its compressive strength.

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Sand, Quarry Dust, Compressive

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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.

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Total Resistance Exercise, Shoulder Strength, Strength Endurance

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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

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

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

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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

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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.

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

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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.

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Challenges to the Admissibility of the Electronic Evidence

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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.

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

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The details of South Dinajpur and the language of women

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The details of South Dinajpur and the language of women

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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.

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Machine Learning, ANN, KNN, Multi-Regression

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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.

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 Keywords

Research Methodology, Objectives

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Creative Commons Attribution 4.0 and The Open Definition