Volume 10 | Issue 12

 Abstract

To study the effect of pre-harvest foliar application of nutrients on growth, yield and fruit quality of strawberry cv.Camarosa an experiment was conducted at the Agriculture Research Farm, Department of Agriculture, Mata Gujri College, Sri Fatehgarh Sahib, Punjab during the year 2020-22. The experiment was laid out in a Randomized Block Design (RBD) having ten treatments with three replications. Treatments consisted of ZnSO 4 (0.2, 0.4% and 0.6%), FeSO 4 (0.2, 0.4% and 0.6%) and Boron (0.2, 0.4% and 0.6%), while the plants sprayed with water served as the control. The result revealed that plants treated with 0.6% ZnSO 4 showed maximum plant height (26.12 cm), plant spread (35.75 cm), number of leaves per plant (25.00), leaf area (88.65 cm 2 ), leaf area index (4.71), number of flowers per plant (18.67), number of fruits per plant (11.38). However, the plants treated with 0.6% Boron showed highest fruit weight (22.23 g), fruit length (40.11 mm), fruit breadth (39.22 mm), yield per plant (211.12 g), yield per hectare (9.10 tonnes), TSS (10.09 0 B) , total sugar (6.03 %) and titerable acidity (0.88 %). Studies indicated that pre-harvest foliar application of iron, zinc and boron are quiet useful for improving vegetative growth, quality and shelf-life of strawberry cv. Camarosa and getting higher marketable value in subtropical region.

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Strawberry, Growth, Iron, Boron, Quality, Yield, Zinc

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DeprNet, Convolutional Neural Network (CNN), Electroencephalogram.

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Latest therapy and technique in the area of physiotherapy are crucial for enhancing the quality of life of children with Cerebral palsy, Torticollis, Spina bifida. Traditional physiotherapy is diverse from intensive pediatric physiotherapy, in current review state that the latest trend and technique in the form neuromuscular stimulation, suit therapy along with conventional physical therapy treatment. In case of Intensive physical therapy a child participate in rehabilation session for prolong period. Intensive physical therapy is mostly implement in western countries & all around world. Physiotherapy treatments provides positive impact for minimizing the symptom and reduce pain during the treatment.

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Physiotherapy, Pediatric, Cerebral palsy, Torticollis, Spina bifida.

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A comprehensive fire risk assessment is very important in dense urban areas to estimate the quantum risk. In this article I have calculated the fire risk in two aspects: 1. Urban infrastructure and the vacant space necessary for high rise buildings.2. Excessive expenditure on festive occasions on pandals and gates by using inflammable materials. Major fire tragedies occurred in India, a brief outline of the incident and the cause of the mishap. The tragedies have been construed as accidents and it ended with regret and compensation. Considering the high-risk urban infrastructure, the position of oil and gas pipes and electricity lines and fire safety analysis of high-rise buildings, the preparation vulnerability map is highly recommended. From the past experience, and the lapses which resulted the tragedy studied scientifically could help decision makers, urban planners, emergency managers and community organizations to plan for providing facilities and minimizing fire hazards and solve some related problems to reduce the fire risk. Moreover, the people and the implementing agencies should follow the fire safety norms meticulously to protect the precious human life.

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FIRE SAFETY

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Mucormycosis is an uncommon but life-threatening infection with nonspecific infection clinical manifestation that makes its diagnosis treatment difficult. Genera from the order Mucorales (Rhizopus, Mucor, Rhizomucor, Absidia, Apophysomyces) cause an Angio invasive infection called an Mucormycosis. Mucormycosis presents with rhino-orbito-cerebral, pulmonary, disseminated, cutaneous, or gastrointestinal involvement. Mucormycosis has few available treatments including Liposomal Amphotericin B, Amphotericin B Deoxycholate, Itraconazole, Posaconazole or their combination, echinocandin, Voriconazole, and herbal extracts such as Tetradine, Rhizophora mangle, Picrohiza kurrhoa, they are most widely used as antifungal agent. Mucormycosis was difficult to study on imaging study surgery plus antifungal therapy close yields greater survival rate. LAmB is formulation that results in reduce nephrotoxicity as compared with DAmB (Deoxycholate Amphotericin B) while retaining the antifungal effect of active agent. Clinical approach to diagnosis lacks sensitivity and speficity. Development of quantitative Polymerase Chain Reaction (PCR) is promising area of ongoing research to enable more rapid diagnosis. The molecular pharmacology, preclinical, and clinical pharmacokinetics and clinical experience with LAmB for the most commonly encountered fungal pathogens are reviewed.

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Antifungal agent, mucormycosis liposomal Amphotericin B, surgery, herbal extract, Amphotericin B Deoxycholate.

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This research paper intends to emphasize on the difficulties encountered by professors during the shift in the mode of education. Examining the difficulties in preserving civility and communicating with students while dealing with mental and physical changes, technological innovation, and other issues. The study examines the teachers' professional development during this phase. It also highlights the changes in relation in between the degree college teachers of commerce in South Bombay and their students.

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Educational shift, different modes of education, teachers facing difficulties during the pandemic

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Logistic Regression, SVM, Random Forest Classifier, Decision Tree Classifier, Chronic Kidney Disease

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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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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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job burnout?management education

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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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Corona virus; vaccination; pandemic.

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To achieve the purpose of this study, the investigator select forty-five college Men basketball players from various affiliated colleges of University of Madras, Chennai, Tamilnadu. The subjects were selected randomly and their age ranged from 18 to 21 years. They were assigned into three groups, of which one group served as a Circuit Training group, the second group served as a Skill training group and the third group served as a combined Circuit training and Skill training group. The experimental groups participated in their respective training programmes for a period of six weeks. The selected subjects were measured by their shooting by lay up shooting test before and after the training period of six weeks. The differences between the initial and final scores of shooting were subjected to statistical treatment using Analysis of Covariance (ANCOVA). The results further revealed that, compared with other groups, the combined group significantly improved shooting. It was concluded that a combined training group was better than a Circuit training group and Skill training group.

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Circuit training group, Skill Training,Shooting.

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The goal is to classify various types of wireless assaults, such as those that take advantage of vulnerable systems or rogue access points. There are a number of techniques that can be used to identify a rogue user at a specific point of entry. Such strategies and methods are quickly categorised into fundamental subfields, such as the client side, the server side, the wired side, the wireless side, the temporal aspects, etc. Every conceivable tactic has both advantages and disadvantages. The goal of this study is to discuss the difficulties and restrictions of existing strategies for detecting Rogue APs. Apply a machine learning (ML) technique to a real-time dataset constructed from these issues. With the use of ML-based methods, rogue APs were detected and analysed.

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Rogue AP, Rogue AP detection methods, ML based techniques, WLAN threat

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Abstract- Financial services are used everywhere and operate in a very complex manner. With the increase in online transactions comes an alarming increase in fraud. An automatic fraud detection system is therefore required. With millions of transactions in progress, it is virtually impossible to detect fraud manually with good speed and accuracy. We design a system that provides a robust, cost-effective, efficient, yet accurate solution for fraud detection in both online payment transactions and credit card payments. The proposed solution is a machine learning model that will be used to detect "fraudulent" and "genuine" transactions in real time. This is beneficial for all sectors that are even slightly attuned to finance. The solution will help them analyse based on various factors whether an ongoing transaction may be malicious and prevent many unfortunate incidents.

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fraud detection, Retail Frauds, credit card, online payments, fraudulent.

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