Volume 10 | Issue 12 |

 Abstract

Objectives:  To assess the knowledge regarding the warning signs of renal failure among selected patients of SVIMS OPD’s.  To find out the association between the level of knowledge regarding the warning signs of renal failure with their selected socio-demographic variables among selected patients of SVIMS, OPD’s. Material and methods: Methodology: The research approach used for the present study was Cross-Sectional Descriptive Research Design. The sample of the study chosen by Non-Probability Convenience Sampling Technique, which includes 100 selected patients of SVIMS, OPD’s. A self structured questionnaire was used to collect the data which consists of 30 dichotomous questions. Results The major findings of the study was out of 100 selected patients of SVIMS, OPD’s.44% patients had moderate knowledge, 32% patients had inadequate knowledge and only 24% patients had adequate knowledge regarding warning signs of renal failure. The associations of demographic variables with the level of knowledgeon warning signs renal failure determined by using chi-square test which revealed that there was a significant association with age, gender, education, occupation, marital status, place of residence, presence of chronic illness, family history of hypertension and diabetes mellitus, history of chronic illness and duration of chronic illness regarding warning signs of renal failure. Conclusion: The study concluded that majority of Cardiology opd’s and Endocrinology opd’s patients had moderate knowledge regarding warning signs of renal failure. Hence there is a need to improve the knowledge regarding the warning signs of renal failure. So informational booklet has been given for improving knowledge.

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 Keywords

knowledge, warning signs of renal failure.

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Tenofovir, Emtricitabine, RP -HPLC, Chromatogram, validation

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Insurance acts as a fiscal backup in the time of exigency. It's a way to manage any organization or person's fiscal threat/ losses. This article attempts to give a brief overview of the insurance sector and some data regarding recent trends in the insurance sector. A threat is an event or passing which isn't planned but ultimately happens with fiscal consequences performing in a loss. It's necessary but essential. Covering the fiscal loss is necessary to reduce the liability that was caused due to the threat. That's when insurance services come into the picture. Insurance is a contract, presented by a policy, in which a policyholder receives fiscal protection against losses from an insurance company. These programs are used to hedge against the threat of big and small fiscal losses that may affect by damage. The insurance industry is changing to "digital-first" business models that have the potential to create new value worth billions of dollars. Collaboration between traditional insurance providers and those working in insurtech will lead to new business models and revenue streams, more profitability, and lower operating costs.The Internet of Things, advanced analytics, and machine learning are being used by insurers to create increasingly detailed individual risk profiles as they place an increasing emphasis on individualised premiums and usage-based coverage. A game-changing course correction that will redefine "business as usual" is already underway in the USD 5 Trillion global insurance market1. A new generation of consumers, data, automation, and artificial intelligence (AI) are driving a "digital first" urgency that is sweeping the globe (AI).

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Advanced analytics, Fiscal Threat, Insurance, Internet of Things, Machine learning, Operating Cost

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This paper examines Preeti Shenoy's novel "Life is What You Make It" as an inspirational and motivating work and the triumph of folie for the temperament to live. She has written a lot of useful and meaningful works. Every person in life has to deal with a lot of problems, and we frequently find ourselves in such a position. which is beyond our comprehension. In this story the hero, Ankita Sharma likewise faces a defining moment which influences her life seriously. Human life is not easy; in order to survive on this planet, we sometimes have to do things that are out of our comfort zones. Ankita Sharma, a brilliant and charming young woman, suffers from bipolar disorder, which she accepts and overcomes. We will gain a better understanding of life's significance and value from this paper. When we make poor choices, we sometimes find ourselves in a position where all we can do is feel regret. Ankita just wants to be her own person, so she rejects her love. However, all of these things changed her life. However, her determination and willingness to live help her overcome her disorder. Literature has always served as a mirror for the various aspects of human existence. It encompasses all human relationships, not just those between men and women. It provides an insightful perspective on how to improve society by highlighting the various social facets of the human world. Literature not only reflects the social reality, but it also shapes the intricate ways men and women organize themselves, their interpersonal relationships, and how they see the socio-cultural reality. For survival in life, every individual requires the companionship and assistance of others. However, the existence of emotional value cannot be overlooked in the midst of all the common interests and goals. The ongoing paper highlights similar perspectives underlined by Preeti Shenoy in her one of the most amazing selling books in India. "Life is What You Make It," her second book, was one of the best-selling books in India in 2011. She has been called an expert on relationships. The purpose of this paper is to examine human relationships in the novel "Life is What You Make It" by Preeti Shenoy.

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Triumph of mental, disorder, postmodern paranoia, exasperation, bipolar disorder, mental asylum, suspicion.

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Uttar Pradesh or better we call it " Uttam " Pradesh because the economy of Uttar Pradesh is increasing by leaps and bounds . The economy of Uttar Pradesh is the third largest state in India with Nominal GDP of Rs 21.74 trillion for the year 2022 - 2023 . GDP growth rate is expected to be 17.1% in 2022 - 23 as compared to 2021 - 22 and this is mainly due to the Automobile sector. Automobile industry is the key driver of any economy. That's why once Peter Drucker has called the automobile industry " The Industry of Industries " . The economy of any region , country or state is directly related to the automobile sector . The growth of the economy without automobiles is like " Life without oxygen " which is not possible . The contribution of the automobile industry in India is 12.1% in Gross Value Added (GVA ) in the manufacturing sector . It is recognized as a core sector . As per Economic Times , The auto Industry is contributing to 49% in India manufacturing GDP and this sector is responsible for 32 million jobs . In this Research paper you will come to know Automobile roles , benefits , Contribution of Automobile industry in Uttar Pradesh economy. Uttar Pradesh economy aims to reach 1 trillion-dollar economy , In this research paper you will come to know how it is possible through Electric Vehicle policy 2022 .According to the mercomindia.com , Uttar Pradesh economy aims to invest Rs. 400 Billion till 2024 in the Electric Vehicles automobiles sector . Uttar Pradesh registered more than 139000 electric vehicles ( EVs ) which is highest in India and the third largest of Faster Adaptations and manufacturing of Hybrid and Electric Vehicles ( FAME ) . In this research paper you will have a look at this too.

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Uttar Pradesh Economy , Automotive Industry , Gross state domestic product, Per capita income, Sectoral growth, Economic infrastructure , Electric mobility , Uttar Pradesh Electric vehicle policy 2019 , Uttar Pradesh Electric Vehicle policy 2022

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Creative Commons Attribution 4.0 and The Open Definition

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job burnout?management education

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Creative Commons Attribution 4.0 and The Open Definition

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Index Terms - Continuing Education, Teachers, Basic Education.

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Agriculture has undergone a digital transformation that has transformed various management functions into artificially intelligent systems in an effort to extract value from the growing amount of data coming from various sources. Machine learning, a branch of artificial intelligence, has a great deal of potential to address many difficulties in the development of knowledge-based farming systems fully reviewing recent scholarly literature using the keywords machine learning" along with crop management, water management, soil management, and livestock management," and current study aims to shed light on machine learning in agriculture. Only journal articles that were released between 2018 and 2020 were deemed eligible. The findings showed that this topic is relevant to various disciplines that support global convergence research. Furthermore, it was noted that crop management was the main focus. There were many different machine learning algorithms used, with artificial neural network-based algorithms being the most effective. Additionally, the most extensively studied crops and animals were wheat and maize, along with cattle and sheep. In order to obtain trustworthy input data for the data analyses, a variety of sensors mounted on satellites and unmanned ground and aerial vehicles have been used.

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Machine learning; water management; soil management; livestock management; artificial intelligence; crop management;

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The purpose of this study is to analyze the factors that influence people's recycling intention to recycle e-waste. Research on the factors that encourage household interactions in sorting waste or recycling waste is a priority due to low participation in the e-waste recycling process. This study aims to build a model and examine the relationship between variables. It is based on the Theory of Planned Behavior (TPB). We studied mobile phone and laptop users who had changed their phones. A total of 324 respondents were selected by the purposive sampling method. Multiple regression was used to analyze the data. The results show that Theory of Planned Behavior and additional variables (environment awareness & knowledge, convenience and recycling costs) are also positively related to household recycling intention. Using the results, policy implications and research limitations were discussed.

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Theory of Planned Behavior,Environmental Awareness and Knowledge, cost of recycling, convenience.

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Corona virus disease has become a major health concern worldwide from its outbreak since 2019. Till today, it accounts for the 3.4% deaths around the world from its reported cases. The pandemic leads to development of various Covid-19 vaccines such as Covaxin, Covishield, Covovax, Sputnik V, Moderna etc. from worldwide pharmaceutical companies. Despite the usefulness of covid-19 vaccines and their protective action against severe infection still these are refused by many individuals. Some people have still not accepted the efficacy of covid-19 vaccines in their everyday life. However, some individuals accept covid-19 vaccines eventually. This study explores the covid-19 vaccination acceptance and enthusiasm among community members for vaccination drive. In this cross-sectional qualitative study, one hundred and thirty four individuals of Bathinda and nearby area were included. People were interviewed as per a semi structured questionnaire and the collected data was analysed statistically. One hundred and thirty-four patients were included in this study: 63.4 % female and 36.6 % male. Most of the volunteers i.e. 64.9 % were belong to 20-30 age group and same percentage community members belong to urban background. Nearly 70 % were educated from all 134 individuals. 91.8 % were fully vaccinated while only 84.3% people considered Covid-19 vaccination safe. Among all included members, 73.1% thought that corona virus vaccine effective however, 22.4% disagreed. The individuals thought that benefits of vaccination are more than its risks (71.6%), while 20.1% disagreed and 8.2 % had no idea about this. Some people (11.9%) were not agreed that vaccination could help to reduce further covid-19 infection but most of the members (79.1%) agreed to this notion. Almost one fourth individuals thought that vaccination could not prevent from future variants of covid-19 virus. However, still more than 80% people considered that vaccination should be mandatory for all human beings and they would also motivate other community members to get the covid-19 vaccination. Our most significant finding is that 85.8 % people thought that they would also motivate other community members to get the covid-19 vaccination. This finding in return suggested the acceptance of covid-19 vaccination among community. However, still more awareness regarding vaccination of Corona virus is needed to reach the 100% milestone.

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 Keywords

Corona virus; vaccination; pandemic.

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Creative Commons Attribution 4.0 and The Open Definition