Volume 11 | Issue 2

 Abstract

Tax audit is very important and so the understanding of the same. The research paper is intended to focus on the understanding the provisions and procedures of the tax auditing. The study discusses on the various clause under which the payee can file tax return. The paper also discusses on the process of filing tax return. For the present study a well structed questionnaire were distributed using simple random sample method and 70 responses were considered for the analysis. The study conclude that the payees are well aware about the tax audit and auditing procedure.

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 Keywords

Tax Audit, Tax filing Procedure, Tax Provisions, Tax Clauses

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Excellence and competitiveness go hand in hand, and require a mindset and culture where all children are encouraged to work on their skill development. Homework is a vital part of learning. It is an extension of the classroom which allows students to internalize information that has been presented in the class. It helps in increasing the knowledge, attitude and skill of the children at each level. The present study intends to ascertain the opinion of secondary school students towards homework. The main objectives of the study are: 1) to compare the opinion of government and private school students towards homework 2) to compare the opinion of boys and girls towards homework. Survey method is adopted for the present study. A well structured opinionnaire is prepared and administered to collect data. The mean, S.D. and t test are computed for data analysis. Findings reveal that government school students have more positive opinion towards homework than the private school students. Both boys and girls do have the same kind of opinion towards homework at secondary level.

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Opinion, homework

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The present investigation was aimed for comparative assessment of phytochemicals present in Moringa oleifera leaf and branded moringa leaf powder. Natural and branded powders (carbamide forte and Himalayan organics) were taken as samples. Both methanolic/ethanolic extracts of natural and branded samples showed varied amounts of the constituents like alkaloid, flavonoid, tannin, saponin. Natural leaf powder and samples of brand 2 in ethanolic extracts have higher amounts of alkaloids. In case of flavonoids, Natural samples in methanolic extract had higher amounts as compared to the other extracts. All the samples lack terpenoids. Variations in phytochemical constituents among natural and branded samples indicate that some alteration may have happened during processing or preservation. Branded leaf powders must be labelled with the exact amount of constituents present, as this will facilitate consumers to be aware about the constituents present in herbal supplements which is being used as herbal remedies. Therapeutic role of plants is due to phytochemicals present in them. Any alteration or increase in natural constituents, addition of toxins may show negative/ neutral role in curing certain diseases. Present work justifies that constituents of natural and branded powder of moringa varies during the process of manufacturing, processing and preserving.

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Moringa oleifera, phytochemicals, Thin Layer chromatography (TLC), qualitative, quantitative, therapeutic.

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“शब्द तरंग-जीवन की शाश्वत और यथार्थ अभिव्यक्ति”

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The security of a 5G wireless network will be challenged by a wide range of sophisticated hacking methods. We propose and develop a novel cooperative attack detection method that makes use of a hierarchical Reinforcement Learning (RL) mechanism in order to better identify network assaults and focus on protecting 5G wireless networks from the most severe and cutting-edge forms of network assault, such as DDoS and jamming. Distributed detection systems are operated at the several important nodes of the 5G network (AP, BTS, and servers) to accomplish the cooperative detection. Results from our trials show that the suggested RL detection system improves the ability to identify novel malicious actions and assaults. All network activity is analysed for malicious behaviour using IDS powered by machine learning. Enhancing the intrusion detection system's detection rate was the primary objective of the system design, with a focus on false negative and false positive performance measures. Different machine learning models, including SVM and KNN classifiers, are built and compared.

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5G Wireless Network, Reinforcement Learning, Network Attack Detection, Cyber Threats

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The currency exchange market is the largest and most liquid market in the world. The average daily trading volume in the global foreign exchange and related markets is estimated at $4 trillion. Currencies are fundamental to the majority of people in the globe because they must be traded in order to execute international trade and business, the trading of different currencies and the purchase prediction of one currency in relation to another is the topic that never get old. At the end of the day, fair and accurate estimates of these exchange rates manage international transactions and the worldwide financial system. Effectively estimating the currency exchange rate is a challenging task. We developed a Currency Exchange Rate Prediction System that uses machine learning algorithms to predict Exchange Rate accurately.

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Trading, Currency Exchange Rate, Estimates, Machine Learning

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Construction materials that are friendly to the environment are now being researched and developed all over the globe in an effort to limit the use of natural resources that are depleting at an alarming rate and to cut down on the production of greenhouse gases. In this respect, geopolymer plays an extremely important function, and a large number of researchers have investigated the numerous dimensions of its viability as a material for binding. In order to alter the geopolymerisation reaction of fly ash, ground granulated blast furnace slag (abbreviated as GGBS) has been used into fly ash-based geopolymer concrete (abbreviated as GPC). In this paper, the influence of various proportions of GGBS (0-100%) on Fly Ash based GPC, as well as the effect of the amount of Alkaline Activated Solution (AAS) in the mixture of GPC, is studied to determine how it affects the compressive strength of the GPC under conditions of ambient temperature. It was observed from the results of the experiments that the compressive strength of the GPC increases both with an increase in the percentage of GGBS and also with an increase in the amount of the sodium silicate solution in which the concentration of sodium hydroxide in the aqueous solution is fixed at a constant value of 10M. This was the case even though the amount of sodium hydroxide that was present in the solution remained the same.

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Alkaline Solution, GGBS, Geopolymer, Flyash

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Collapsible soils are black cotton soils with extremely high shear strength when dry but rapidly lose strength when wet. Such rapid and significant loss of strength causes significant distress, resulting in extensive cracking and differential settlements, unstable building foundations, and even the collapse of structures built on these soils. Waste marble dust and Ground Granulated Blast Furnace Slag are industrial byproducts that are produced in massive quantities around the world and pose a threat to the environment. As a result, finding a long-term solution for its disposal is critical. The current study used a physio-chemical technique to reduce the collapse potential of black cotton soil. Because the soil is water-sensitive, it must be stabilised. Different percentages of waste marble dust (WMD) and ground granulated blast furnace slag (GGBFS) were used as an admixture. The effect of admixture on soil parameters such as specific gravity, plasticity index, swelling index, and shrinkage limit is investigated in this study. The study's optimization process revealed that adding waste marble dust improved the geotechnical parameters of black cotton soil significantly. Plasticity was reduced while Unconfined Compressive Strength (UCS) increased significantly. This research evaluates the safe disposal of hazardous waste and converts it into suitable material for engineering purposes

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UCS, GGBFS, WMD

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Because road damage has resulted in numerous deaths, research into road damage detection, particularly hazardous road damage detection and warning, is essential for traffic safety. Existing road damage detection systems mostly process data on the cloud, which has a large latency due to long-distance transmission. Meanwhile, in these systems that require big, carefully labeled datasets to achieve outstanding performance, supervised machine learning methods are typically used. We suggest using Deep Learning to detect and warn about road damage in this study. The foundation of road surface analysis is visual observations by persons and quantitative analysis by pricey tools. Visual inspection, for example, not only necessitates the use of experienced road managers but also takes time and money. Furthermore, visual inspection is inherently unreliable and inconsistent, increasing the risk. Vi- visual inspection of roads by engineers takes a long time due to the length of roads or freeways. As a result, establishing an AI-based automated system that can determine the sort of damage can help to improve and enhance the way road conditions are assessed.

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Road Damage Detection, Deep Learning, Image Processing, CNN, etc

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CASE STUDY ON PLANTINUM INDUSTRIES PVT. LTD. MUMBAI

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CASE STUDY ON PLANTINUM INDUSTRIES PVT. LTD. MUMBAI

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(pandemic, mental health, schools, colleges, online, emotion, behaviour, teaching)

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IMPORTANCE OF SOCIAL MEDIA IN TRIBAL DEVELOPMENT: A STUDY OF KORAGA TRIBE IN UDUPI DISTRICT, KARNATAKA

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IMPORTANCE OF SOCIAL MEDIA IN TRIBAL DEVELOPMENT: A STUDY OF KORAGA TRIBE IN UDUPI DISTRICT, KARNATAKA

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For the development of the country's economy, the logistics sector must be at a level that can compete in the international market. This requires a higher level than the logistics level of the foreign market. This can be achieved by using the latest technologies or by manufacturing new technologies. In particular, logistics with the aim of responding to customer needs as quickly as possible; has become a strong sector with advanced technological structures and growing consumer demands with the influence of globalization. As a result, businesses have had to keep innovation on the agenda to keep profit margins and customer satisfaction high. In this study, the digital logistics process and digital structures used in the logistics industry in international trade are mentioned. The benefits of digitization are discussed in detail. Information is provided on the future of digital logistics. Modern foreign and domestic studies mostly consider the digital transformation of the economy to be a combination of effects arising under the influence of a number of introduced digital innovations, which lead to the emergence of new economic structures, new business practices, but also new values. and beliefs in the business environment. The article is dedicated to researching the characteristics of the development of logistics networks in the context of globalization and digitalization of the economy. Issues of increasing the efficiency of the operation of logistics networks using digital technologies through the creation of information logistics platforms were also considered. As a scientific novelty of the study, the highlighted advantages of digitalization of logistics platforms should be noted.

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The most basic explanation of digitalization; is the replacement or replacement of existing resources with digital products to provide the highest level of efficiency with the lowest physical effort. In the past, all transactions were handled with documents with invoices. Documents were filed and stored in archives. With the advent of the Internet, all transactions began to be stored in computer memory. Access to information was quick and easy with the use of the Internet. We can define digitali

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Knowledge; Communication, Civilization, information, technology, education, Preservations,

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This paper describes the effectiveness of multimedia package on performance of secondary school students in Mathematics (Solid Geometry). This paper argues for the multi-media package for secondary level students ninth class. Further, it has suggested that at school level the various program are made for teachers, students, trainees to integrate ICT and e- learning in the system of education, administration, learning, teaching, management, evaluation controlled by electronic media. As multimedia presentations is an important and use full for the dynamic subject like mathematics, researcher he selected the present research problem for the study. The results reveals that there is positive effect on performance of Mathematics (solid geometry)

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Keywords: multimedia package, effectiveness, mathematics, Solid geometry etc

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Key Words: - Rajbati, Akhada, Hati Sal, Ghoda Sal, Rani Bandh, Singh Dwar, Anta Pura, Bhandar, Raj Ghat, Borasambar

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A financial performance is main objective being or has been accomplished and is an important for risk management. It is the process of measuring the results of a firm policies and operation in monetary term. The financial performance analysis identifies the financial strength and weaknesses of the firm by properly establishing relationship between the item of the balance sheet and profit and loss account. The business organization matter a lot for all its stakeholder. It is used to measure firm overall financial health over a given period of time. In this research have attempted to a financial performance of pharmaceutical company in India is using by Z-score model. The study concludes that the overall financial health of pharmaceutical Industry is in the healthy zone we selected five pharmaceutical companies in this report Cipla Ltd, Sun pharmaceutical ltd, Dr Reddy laboratories Ltd, IPCA laboratories, Ajanta pharmaceutical. Two company are Healthy zone IPCA laboratories and Ajanta pharmaceutical and Three companies are bankruptcy Zone Cipla Ltd, Sun pharmaceutical ltd, Dr Reddy laboratories.

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Ratio, Pharmaceutical Companies, Capital Structure, Business Risk, Bankruptcy, Financial Health

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Fake news detection is a major challenging problem in Natural language processing(NLP).The increasing number of social media platform and user .Through these electronic media, The fake news are also increasing exponentially . The increasing reliance of more people on electronic media for their daily news has opened doors for malicious people to spread fake news . So detecting the fake news in this survey paper , Data set has Taken from keggle, Google Dataset search .Then we applied Transformers a Deep Learning approach to sequence and Classification .

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- Fake news detection , Natural language processing , Deep learning , Transformers

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Rheumatoid arthritis is an autoimmune disorder and till now it has no cure it is only managed by medication and lifestyle changes. it occurs in both sides of the joints which differentiates it from other arthritis. RA is also caused by defective peptides. Painful joints make it hard to exercise which leads to being overweight which in turn puts a load on joints. A may be more likely to affect women who have never given birth. Some childhood exposures may make it more likely for an adult to acquire RA. For example, one study found that children whose mothers smoked had double the risk of developing RA as adults. Children of lower-income parents are more likely to grow up with RA. RA patients

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rheumatoid arthritis, inflammation, pain, swelling, self-care, NSAIDs, DMARDs. RA, arthritis.

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Creative Commons Attribution 4.0 and The Open Definition