Volume 11 | Issue 5

 Abstract

The primary ideal of the design is to design a adaptable E-Rickshaw. As the number of motor vehicles on the roads throughout the world increases at stunning rate each time, the dependence on oil painting- grounded energy grows nearly unbounded. The increased use of non-renewable reactionary energies brings with it environmental problems similar as the" hothouse effect", health problems for megacity delivers and concern over the stability of energy force. To move down from this dependence on oil painting, a vast quantum of plutocrat is being spent on the development of electrical vehicles( EVs) that may be produced. This paper presents a study of electrical motorcycle design. The end of this study is to probe how to design a simple, cost effective model of electrical Rickshaw with intelligent control system. This can be enforced by removing the internal combustion machine, the exhaust system and other gratuitous factors from the motorcycle and replaced by an electrical motor, an intelligent regulator, and a battery pack, cabling system and monitoring instruments

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brushless motor, frame, battery, intelligent controller

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The objective of this paper is to examine the importance of Financial reporting practices through the Paytm. Accounting practices includes record keeping, budgeting practices, and payroll accounting. The research methodology used is Exploratory research. The study uses Secondary data from the company's Annual reports in 2020 and in 2021. The study concluded that a structured financial accounting report is a mandatory document to study the condition of an organization. The factors used to confirm this Return on Capital employed, financial reporting quality and financial earnings quality.

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Balance Sheet Ratio Analysis Capital on Return Staff Productivity Profit Margins

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We are living in the age of Global Warming. Number of natural calamities are increasing day by day. Ozone layer is depleting continuously. Glaciers are losing their size. Ground water source is also depleting. Many kinds of Biotic Components are coming into endangered category. There is a big problem of deforestation. List of problems, which, Mother Earth is facing because of activities of mankind is endless. These are the changes which Human cannot see by his naked eyes.The part of the electromagnetic spectrum visible to the human eye is small and covers the approx. range 0.4 to 0.7 micro meter. So there comes a need of a resource which can measure the electromagnetic spectrum beyond that limit. This problem has been solved by Remote sensing and GIS. In this paper we will discuss the role of Remote Sensing and GIS in various field of life.

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REMOTE SENSING, GIS

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The main purpose behind the implementation of the accident prevention is to minimize the roads accidents which causes the loss of valuable human life another valuable goods. Accident prevention and detection system (APDS) save lives by reducing the time require for emergency responders to arrive. We are developing one IoT application which will help to reduces percentage of accident. According to the statistics, reducing accident delay time by even 1 minute can save 6 % of lives.

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Node mcu, cables,gps,etc

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Agriculture has played a crucial role in the growth of India's economy, constituting approximately 26% of its GDP and catering to employment for 61% of the population. The motivation for this project comes from the increasing suicide rates among farmers. In 2022 the country witnessed nearly 1875 suicidal cases which may be due to low harvest in crops, and unable to repay loans in banking or private sectors. Climate and other environmental changes have become a major threat in the agriculture field. Machine learning is an essential approach for achieving practical and effective solutions to this problem. The proposed work predicts the yield of the crop using historically available data such as weather, soil, rainfall parameters, and historic crop yield and achieves this by using a machine learning algorithm. Random Forest algorithm can analyze crop growth related to the current climatic conditions and biophysical change and gives better solutions for the system. The proposed work develops a web application to predict crop yield in general and for a particular crop. Additionally, it suggests the right fertilizer to be used for the preferred crop to the farmer.

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Crop_ yield prediction; logistic regression; naive bayes; random forest; weather; Agriculture; Machine Learning; Supervised Algorithms; Data Mining.

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Abstract:-The primary aim of current study is to assess the knowledge on Behaviour problem among mothers of 1 to 12 years old children. In this pre experimental study 60 mothers of 1-12 years children were selected from civil hospital, Fatehgarh Sahib with pre and post test evaluation and their bio-demographical data. The pretest result shows about 90%(54) of the respondents had inadequate knowledge on the behavioral problems among children and about 10%(6) of the respondents had moderately adequate knowledge on the behavioral problems among 1-12 years of children and no respondents had adequate knowledge. The statistical paired't' test indicates the enhancement in the mean knowledge scores found to be significant at 5% level for all the aspects under the study.

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Assess, Effectiveness, Structured Teaching Programme, Behavioral, Mothers

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The utilization of Personal Protective Equipment (PPE) constitutes a crucial element in upholding worker safety amidst perilous environments within diverse industries. However, ensuring compliance with PPE usage can present a challenge due to the requisite manual inspection by supervisors or safety officers. Recent years have witnessed a burgeoning interest in constructing automated systems using computer vision and deep learning techniques to discern PPE usage. With this in view, the "Personal Protective Equipment Detection using YOLOv8" undertaking endeavors to forge a deep learning model that can automatically detect the presence of personal protective equipment such as masks, safety glasses, reflective vests, and hardhats. Through harnessing the YOLOv8 architecture and training the model on a dataset replete with images of individuals donning and eschewing PPE, the proposed system can accurately detect PPE usage. This can serve as a valuable instrument for organizations to ensure the safety of their employees and customers, as well as scrutinize compliance with safety regulations in public spaces. The project epitomizes the prodigious potential of deep learning in augmenting safety measures and curtailing risks throughout diverse industries.

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Personal Protective Equipment; YOLOv8; deep learning; workplace safety; automated system; supervisors; safety officers; compliance; safety regulations; public spaces; risks.

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Abstract: Background of the Study: Adolescence is the most important period in one's life. It is a period of stress and strain, of daydreams, of intense affection and excitement the mind is pious and pure free of all wickedness. The adolescent is still teen and lacks maturity of thought and experiences. He and she is not aware of what is proper and what is improper and therefore is danger of going on the wrong path. Objectives of the study o To assess the adjustment problem faced by the students. o To compare the level of adjustment among Post Basic B. Sc. Nursing and B.Sc. Nursing 1st year student. o To find the member of students who get well- adjusted or not. Methodology: Quantitative research approach was used in this study and the research design adopted for the current study was based on non-experimental research design. Setting of the study was College of Nursing. PGIMS - Rohtak. A sample of 40 students out of which 20 from P. B. B.Sc. Nursing 1ST year and 20 students from B. Sc. Nursing 1st year were taken from college of nursing PGIMS. Rohtak. Sampling Technique adopted was Non - probability convenient sampling technique. Research tool was developed by the researcher to assess the adjustment problems faced by the samples. The tool was rating scale type. Data collection method was through self-reporting technique. Collected data were analysed through descriptive and inferential statistics. Results: Out of 40 students, 25 students are well adjusted while 15 are facing mild adjustment problem collectively; while in B.sc nursing students out of 20 students, 13 students are well adjusted while 7 are having mild problem; and in Post Basic B.sc nursing out of 20 selected sample 12 are well adjustment while 8 are facing mild adjustment problem . But no one facing moderate and severe adjustment problem.

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Assess, Adjustment Problems, Nursing students, Nursing Colleges

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DETERMINE THE EFFECT OF APPROPRIATE POLYPHARMACY ON CONSTIPATION AND ITS USED FOR WEXNER SCALE SCORE METHOD IN A TERTIARY CARE HOSPITAL

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DETERMINE THE EFFECT OF APPROPRIATE POLYPHARMACY ON CONSTIPATION AND ITS USED FOR WEXNER SCALE SCORE METHOD IN A TERTIARY CARE HOSPITAL

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Fringe Benefits means additional benefits provided by employer to his employees in addition to regular salary and wages. It includes various types of payments amenities, facilities and services out of which some are voluntary and some are legally compulsory according to Factory Act-1948. In India these facilities i.e., benefit classified in five major categories: 1. Payment for time not worked 2. Employee security 3. Safety and healthy 4. Personal service and family benefits 5. Old age and retirement benefits These benefits are helpful in increasing production and productivity retaining skilled and trained employee in factory employees feel mental and physical satisfaction. But in practical there is a great possibility to tax evasion in regard of fringe benefits from early state to till date. To prevent tax evasion in this regard the Finance Act-2005 introduced a newly tax Fringe Benefit Tax w.e.f. Assessment year 2006-07 which levied in the hand of employer in addition to income tax. But due to several reason it abolished by Finance Act-2009 w.e.f. Assessment year 2010-11. Then after the value of fringe benefits become part of gross salary and now it taxable in hand of employee. Through this research paper I focus challenges and remedies in valuation and taxation of fringe benefits.

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: Fringe Benefits, Auditing, Tax Evasion, Gross Salary, Assessment Year

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there are many fake products in the existing supply chain. It is necessary to have a system for end user to check all details about product that they are buying so that the customer can check if the product is genuine or not. In recent years, Counterfeit products play an important role in product manufacturing industries. This affects the company name, sales, and profit of the companies. Block technology is used to identification of real products and detects fake products. Blockchain technology is the distributed, decentralized and digital ledger that stores transactional information in the form of blocks in many database/node-computers which is connected with the chains. Blockchain technology is secure as the data stored once in the chain is immutable therefore any block cannot be changed or hacked. By using Blockchain technology, customers or users do not need to rely on third-party users for confirmation of product authenticity and safety.

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Blockchain, Counterfeit, Supply Chain,Ethereum

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The present report identifies textile trends considering sustainability and the ecosystem as the focus point. Based on the literature review the report has been developed. Prominent findings based on analysis bring out the conclusion that milestones of development have been experiential and have the potential for all industries. Though the textile industry has always been a charmer, in the last 30 decades, this industry has seen a miraculous boom, all thanks to the modern era where clothing is now the most important part of looking good. And "no-repeat formula" has been on the trending charts of the fashion industry. The study further delves into the components of the textile industry, the process of clothes formation, and its effects on the human body and environment. We will also analyze works of literature to conclude upon some remedies that are more than ever needed. Especially, details what specifically can be done in Indian industries to maintain the cycle of production while keeping the environment at "THE CALM".

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Textile industry, sustainability, cotton exports, processes in the textile industry, environment and remedies.

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Mathematics is perhaps one of the oldest and the fundamental branch of Science. Mathematics plays an important role in the bottom line of industrial organizations and helps companies to perform better in the present data driven market. Industrial mathematics uses statistics, trigonometry, optimization, dynamics, mathematical modeling etc. for solving complex problems for many industries and has thus emerged as a new vista for the Science and Engineering students.

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mathematics, mathematical modelling

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In this study paper, Dabur India, a renowned consumer products firm with operations both in India and internationally, has its financial statements thoroughly examined. Utilizing a variety of financial ratios and tools, the study's objective is to assess the company's financial performance over a three-year period, from 2013 to 2022. The paper starts out by giving a general review of the company's history, offerings, and services. The study then moves on to the income statements, balance sheets, and cash flow statements of the company's financial statements. According to the report, Dabur India has consistently increased its sales and profitability over time. Strong liquidity and solvency ratios and a stable financial position have been maintained by the business. The report also emphasizes the critical significance that the organization's successful working capital management and cost management play in reaching its financial objectives. According to the study's overall findings, Dabur India has a solid financial position and a bright future, making it a desirable investment choice for potential investors.

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Potential, Liquidity, Consistently, Thoroughly

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Keratin is a durable, insoluble, fibrous protein belonging to the large family of structural protein to form hair, nails, feathers, wool and horns. Keratin present in higher vertebrates (mammals, birds and reptiles). Keratin doesn't degrade in nature because of the tight packing of their polypeptide chains in alpha-helix structures and their linkage by disulphide bridges. Food industry especially the poultry farms, meat market, slaughter house and wool industries produces million tons of keratin waste. According to a literature review, keratin waste contributes to environmental pollution, resulting in the destruction of a valuable resource, a decrease in species diversity, and soil acidification with negative impact on ecosystem. In nature for overcome these problem keratinophilic fungi play significant ecological role in degrading keratin residues. Keratinase enzyme is an enzyme produced by keratinophilic fungus that digests keratin. The current findings suggest that keratinophilic fungi may play a key role in keratin degradation in the environment, and that Keratinase produced from keratin waste can be employed in the feed, cosmetics, and pharmaceutical industries.

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Keratin waste, ecosystem, environmental pollution, keratinophilic fungi, sustainable management.

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This study explores the savings and investment patterns of rural consumers after the COVID-19 pandemic. The pandemic has significantly impacted the financial behaviors of consumers, and this study aims to identify the changes in saving and investment habits among rural consumers. The research uses a mixed-method approach, including both quantitative and qualitative data collection methods. A survey is conducted to gather quantitative data from a sample of rural consumers, and interviews are conducted with a subset of respondents to obtain in-depth insights into their experiences. As a result, many consumers have become more cautious about investing their savings, with a preference for low-risk investment options such as savings accounts and fixed deposits. Furthermore, the study finds that the pandemic has also led to changes in consumer behavior, with many rural consumers becoming more inclined to use digital financial services. This shift is attributed to the need for contactless transactions during the pandemic, as well as the convenience and accessibility of digital financial services. Keywords: COVID-19, Rural consumers, Savings , Investments, Pandemic

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COVID-19, Rural consumers, Savings , Investments, Pandemic

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The concept of preksha dhyan can be considered as one of the major breakthroughs of this century in the field of biomedical sciences. The world of today is full of tensions and people are facing various health issues, both physical and mental. The scope and application of preksha dhyan for treatment of a large number of diseases and disorders is undoubtedly great and already significant achievements have been in this direction.

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preksha dhyan, pranayam

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In this paper, we will discuss about the harmonics measurements of such small microgrid which are part of single house along with their impacts on the supply voltage waveform. The voltage harmonic magnitudes are compared between two operation states along with the relevant standards. We will be presenting the 10 minute and 3 second average values. When compared to the grid connected mode, the harmonic voltage magnitudes are higher in the islanded mode itself and also the difference between 10 minute and 3 second average value is greater. In some cases the magnitudes of individual harmonics or the total harmonic distortion go beyond the limits. In most of the cases, the 10-minute average values will be enough to evaluate the harmonic distortion levels, however we cannot see any variations unless we use the 3 second average values.

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Solar PV Array, Boost converter, Inverter, Non linear loads , Harmonics

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"Predicting Chronic Kidney Disease Classification Using Hybrid Machine Learning Technique"

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"Predicting Chronic Kidney Disease Classification Using Hybrid Machine Learning Technique"

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This research investigates the infrastructure and cold chain logistics in India, which are vital for the transportation and storage of temperature-sensitive goods including food and medications. It looks at the field's prospects and difficulties and makes policy recommendations for enhancing India's cold chain infrastructure. Several data sources, including surveys, interviews, publications, and articles, are used in the research. The project's objectives include giving a thorough assessment of the market, highlighting best practices and innovative ideas, and outlining workable solutions for raising the efficiency and competitiveness of India's cold chain logistics

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Logistics, Marketing, Cold chain , Supply chain, Warehousing, 3pl, Storage, Cold storage, perishable goods, Infrastructure, India

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