Volume 10 | Issue 12

 Abstract

This study has been conducted to analyze the significant impact of performance incentives on employee motivation and turnover, study has been conducted with the CBSE School of Pune region. The purpose of the study is to determine whether there is any impact of performance incentives on employee motivation and employee turnover. For the study, a quantitative approach is used and the technique of data collection is a multiple choice close-ended questionnaire, survey method. While the data analysis technique used is simple random and cross-tabulation. The population for data is employee and Employer of the CBSE School. The result of this study indicates that Performance incentives have a significant impact on employee motivation whereas favoritism causes employee dissatisfaction and intent to leave the job, but that intention does not turn into employee turnover as the employee fill unhappy but does not leave.

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Performance Incentive, Motivation, Turnover

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The purpose of this study was to determine the analysis of sustainable attitude on women to implementing physical activity and sports from Rajiv Gandhi Arts and Science College in Puducherry. From there 5 departments, 185 subjects were randomly selected. A five point likert type was applied for data collection from the selected subjects. Although five opinion statements were scored for data collection. It was found that all respondents should positive attitudes to implementing physical activity and sports. In order to test whether there is significant interrelationship in score among the respondents in different perspectives. The chi square test score was applied as statistical test at the 0.05 level of significance. For the measurement of sustainable attitude to implementing physical activity and sports. It has enough evidence in the data to accept alternative hypothesis, there is relation or interrelationship of sustainable attitude to implementing physical activity and sports among the respondents. Because, the score is very high among the response of respondent. The results show that there was a no significance difference in sustainable attitude to implementing physical activity and sports. Students are aware of the importance of physical education and health maintenance and they have also a positive attitude toward the importance of physical activity for quality of life and wellbeing. In the light of these findings, clear suggestions are offered in the conclusion of this study as to the way ahead for future developments for Physical Education.

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Attitude and Physical Activity

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In today's competitive and evolving market, Teaching and Administrative Staff are lacking leadership quality. Before these people assume leadership responsibilities, proper training ought to be provided since leadership qualities are talents that can be improved. The strataplex model of leader behaviours developed by Mumford, Campion, and Morgeson (2007) serves as the theoretical foundation for this study's investigation of the competencies necessary for effective leadership in higher education in hospitality management from the viewpoint of faculty and academic administrators. Following business skills in importance for leadership were cognitive skills, interpersonal skills, personal values, and strategic skills, according to both academics and administrators. Particularly, they all agreed that communication was the most crucial skill. This study will help us different comparative qualities among administrative and teaching staff. Also, to understand the difference in perspectives of leadership attributes between teaching and administrative staffs. To understand the term leadership as Leadership is the ability of an individual or a group of individuals to influence and guide followers or other members of an organization.

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Attitude, Behaviour, Skills, Motivation, Leadership

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Turbid media, such as haze, smoke, fog, rain, or snow, typically impair image data collected by outside visual sensors. As a result, weather conditions would typically impair or impede the proper operation of vision-assisted transportation systems, or ADAS (advanced driver assistance systems), as well as a variety of other outside surveillance-based systems. To address these issues, the removal of weather effects (or deweathering) from photographs has become more significant and has gained a lot of attention. As a result, it is critical to include a preprocessing stage that automatically determines the weather state for an input image, after which the appropriate deweathering processes (e.g., removal of haze, rain, or snow) are correctly triggered. This study proposes a deep learning-based weather image recognition framework that takes into account the three most typical weather variables in outdoor scenes: hazy, wet, and snowy. Our approach automatically classifies an input image into one of the three categories or none of them (e.g., sunny or others). Extensive experiments on well-known CNN models such as VGG-19 and Inception V3 conclude that VGG-19 provides more than 96% accuracy when compared to Inception V3, and thus Vgg-19 is declared as the best model for performing the application on jehanbhathena/weather-dataset to evaluate the proposed method and the feasibility has been verified.

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Turbidmedia, Advanced Driver Assistance System, Deweathering, Deep Learning, Inception V3.

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An analysis of drama and cinema in the early days in Tamilnadu provides an overview on the transformational changes in the taste and choice of Tamilians. Primitive form of entertainment in Tamilnadu evolved into drama. The struggle for existence of drama overcoming all the hurdles and the abundant experience obtained in drama shaped the artists to dominate in cinema. The audience of that time were exposed to many other diversions in this field like Marathi drama, Western movies etc. In spite of that Tamil artists could design their own format of presentation and strategies for entertainment to update and conquer other rival media which are highlighted

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entertainment, koothu, drama, cinema, music

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The study examines the attitude towards ICT and competency in ICT secondary school teachers in relation to gender. Descriptive survey method was having been used and using random sampling technique. 300 secondary school teachers were selected. Collected data was analysed by using the Statistical Techniques mean, SD and t test. The results show that attitude towards ICT is favourable and competency in ICT is high. There is not significant relationship between attitude towards ICT and competency in ICT. There is not significant relationship between attitude towards ICT of male and female secondary school teachers. There is a significant relationship between competency in ICT of male and female secondary school teachers.

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ICT, attitude towards ICT, competency in ICT. secondary school teachers

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ABSTRACT :- The route of administration is the way through which the dosage form is administered into the body for treatment of various diseases and disorders. Various routes of administrations play a marked role in the bioavailability of the active drug in the body. In present review these routes are included with their advantages and limitations. This is an attempt for the initials of field to familiarize with the routes of administrations with their significances. Systemic absorption of a drug depends on its physicochemical properties, the nature of the dosage form on which it is included and the anatomical and physiological characteristics of the site of absorption.

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Keywords :- Absorption; bioavailability; biopharmacy; dosage forms; enteral route; intravenous route; intramuscular route; nasal route; oral route; parenteral route; pharmaceutical products;

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Varieties of plants are used for the treatment of some incurable disease like asthma, paralysis, hypertension and hysteria. The species Plectranthus wightii is used for the remedy of hypertension, hysteria fever, dysentery and paralysis and to sooth the active nerves during anxiety by the tribes in Nilgiris. This plant is used in aromatherapy to elevate these disorders by spreading fresh leaves over the bed of the patient every day. This prompted us to undertake the chemical screening of the volatile constituents and the whole plant through GC-MS analysis and also to evaluate the biological activity.

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Plectranthus wightii, paralysis, folk medicine, GC-MS analysis.

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Dogen Kigen, Zen, Myths ,Poems, Translation, Tamil

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This study has been undertaken to investigate the service needs of the children suffering from intellectual disability. The service needs in terms of health care are those needs that benefit individuals; for example health education, disease prevention, diagnosis, treatment, rehabilitation, terminal care. The purpose of the research study is to understand the service needs of the children with intellectual disability from the perspective of the professionals. The qualitative research method with Descriptive research design was used to fulfill the objectives of the study. The overview of the findings reveals that the majority of professionals recommend for the raising awareness, early interventions, improving services and imparting training programs.

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Children, Intellectual disability, Service needs, Professionals, Rehabilitation.

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This paper presents the design and building of an intelligent traffic light control system. This is a comprehensive software prototype for a smart traffic system that has been demonstrated. Based on the volume of traffic on either side of the junction, the system regulates the traffic lights. Real-world hardware implementations may make advantage of infrared sensors and cameras. This research use image processing methods to count the number of vehicles before allocating timings based on a simple mathematical calculation for relative traffic density. The gaussian algorithm and the morphological algorithm approaches are the algorithms we employed in this research. By giving the cars on the busiest route greater space to pass than those on other, less busy roads, you may easily relieve traffic congestion. The system need to be capable of making daily priority decisions. In this method, the waiting time for drivers on roads with larger densities is essentially decreased. The photos for each lane are captured and analysed concurrently as a result, and a judgement is made about which lane should be given the most time and attention.

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Traffic Sign, Congestion, Gaussian Algorithm, Morphological Algorithm, Intelligent system, Camera.

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Purva bhartatil granthalay aani mahitishashtra vishyatil aacharya padvi prapt sodhprabhadacha aashay vishleshtamak abhyash

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Purva bhartatil granthalay aani mahitishashtra vishyatil aacharya padvi prapt sodhprabhadacha aashay vishleshtamak abhyash

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Primary Teachers' Examination: An Experiment of divisional commissioner of Maharshtra An analytical Study

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Teachers' Examination

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Among various types of cancer, Bone cancer is a leading cause of cancer-related death in many countries. The main goal of this model is to find out the malignant part i.e. by comparing two medical imaging techniques such as CT scan and X-Ray, detects the types of tumor in accurate manner. By using CNN classifier, the extracted images will be classified and stored. Based on these classification, the stages of sarcoma will be identified which is useful for the orthopedics surgeon to give suggestions over the treatment. The developed system result shows the improved rate of early detection of Sarcoma in Bone.

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cnn classifier used for detecting sarcoma in bone

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The on use diameters entire article (bars) and / or divide bamboo (a. K. An orthotic inserts are everywhere bits) was often envisioned as a substitute to costly systems that enable in reinforced concrete. It is a proven fact that the construction business is the major consumer of raw material and energy with most states. The pursuit of economic growth, classified in the Brundtland survey 1987 as "development that meets the needs of the present without compromising the ability of the future generations to meet their own needs", has become a major problem while looking to meet the challenges facing permanent housing for the ever-increasing population worldwide. An present experimental of bamboo character traits and bamboo as a concrete reinforcement analysis is carried out in every paper. The above studies have been focused to the formation of bamboo's components habits through the principle of interact.

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Bamboo; Concrete; Composites; Non-conventional fabrics

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John Milton through his most renowned controversial Epic titled "Paradise Lost", written in 1667 addresses the idea of free will and questions the existing hierarchy of absolute power and authority. Written during a time when people blindly followed the Church and the rules of the King and in fear paid heed to all the norms that existed in society which ultimately leads to nothing more than a peaceful death. The relevance of such historical revolutionary acts In today's post-modern world will be further discovered in this paper. The idea of having a choice and how it came into existence with several such revolutions coming into play will also be extensively talked about in this paper. The character of Lucifer and how he is not a pessimistic being, like how our ancestors told us after reading the scriptures will be analyzed thoroughly and the way Milton glorifies Satan to give us a new angle of interpretation will also be dwelt upon and further examined in this paper. Moreover, the futuristic thinking of Milton and how his Epic still holds a firm stand in today's contemporary world will further dwell in this paper. The necessity of such revolutionists in our lives will be given importance in this research.

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Free Will, Absolute Power, Choice, Revolutionists, Fear of Authority.

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One of the most serious illnesses nowadays is chronic kidney disease, for which a correct diagnosis must be made as soon as possible. Machine learning techniques are currently used in medicine. The clinician can identify the ailment early with the use of a machine learning system. In this paper , chronic kidney disease prediction has been covered. Disease prediction and detection is a vital and difficult subject since it aids in early disease diagnosis by assisting pathologists and medical professionals in their decision-making.In recent studies and research, "The Artificial Neural Network" provides a useful method to address a variety of everyday issues in life or in many different fields, such as the medical field, where it can be used to anticipate a specific disease based on some provided data. In this article, we use the ANN approach to describe a system for predicting chronic kidney disease.This neural network output lets us know whether a patient has chronic renal illness or not. Artificial neural networks produce outcomes that are more accurate than those of other machine learning algorithms in the aforementioned topic of kidney disease prediction after extensive investigation.

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Chronic Kidney Disease , Machine Learning , Artificial Neural Network

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Alcoholism, Classification, Health, India, Visualization, ML, Prediction

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Mental health includes humans emotional, psychological, and social well-being. It changes the way people perceive, believe, and continue to act. Understanding how individuals respond to stress, interact with others, and make decisions is also important. From childhood and adolescence to maturity, maintaining one's mental health is essential. Adults have a wide range of needs and coping ability for stressful situations. Many adolescents will either have accepted the restriction and school closings brought on by the epidemic scenario effectively. This research study aims to identify and evaluate recent studies on mental health. As an example, several students will return to the classroom having gone through a certain amount of stress, worry, loneliness, and sadness. Some people could have seen an increase in domestic violence. Teachers and staff at the school play an important part in helping students adjust to learning in the physical classroom afterwards, especially during long periods of time of school closure. According to official statistics provided by the World Health Organization (WHO), mental illness accounts for 90% of suicides in high-income economies. Additionally, recent research found that individuals with mental illnesses frequently disclose these conditions on social media as a form of consolation. Therefore, the primary goal of this work is to analyse the mental health of the students and teachers sequentially across time and identify those adolescents who may be at risk for depression as soon as possible. The state of a person's mental health is predicted by a machine learning algorithm, and the algorithm's effectiveness is assessed using common metrics like accuracy.

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Social Well-being, Mental health, Stress, Depression, Prediction model, Binary Classification, Healthcare.

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