A study to assess the effectiveness of aerobic dance movement therapy on anxiety level among adolescent girls at selected schools at Tiruvannamalai

A study to assess the ef fect iveness of aerobic dance movement therapy on anxiety level among adolescent girls in selected school at t iruvannamalai Introduction Adolescent period is not an age of problems and f rustrat ions, in most of them i t is golden age of adventure, romance and creat ivi ty. It is the period in l i fe when an individual is having t ime, energy, creat ivi ty and a spi ri t of trying new things. Adolescents form above near ly one f ifth of the total populat ion of India and are signi ficant p r o p o r t i o n o f t h e wo r l d ‘ s ad o l es c en t p o p u l at i o n . It i s u n d e r s t an d a b l e that the occur rence of var ious psychosocial stressors during the transi t ion f rom the adolescent to chi ldhood is inevi table. Objectives a. To assess the pre-test level of anxiety among adolescent girls in the Experimental group and cont rol group. b. To assess the post -test level of anxiety among adolescent girls in the experimental and cont rol group. c. To evaluate the ef fect iveness of aerobic dance movement therapy on anxiety among adolescent girls in experimental group. d. To associate the post -test anxiety levels of adolescent gi rls in the experimental Group wi th thei r selected demographic variable. Materials and Methods A Quant i tat ive Research approach was adopted for this study. A review of l i terature was done on studies related to aerobic dance movement therapy on psychological condi t ion, Studies related to Aerobic Dance movement therapy on medical condi t ion, s tudies related to anxiety. The conceptual framework opted for this study was based o n t h e Mo d el o f Wi d e n b ac h ‘ s h el p i n g ar t o f cl i n i c al n u r s i n g t h eo r y (1969), in order to achieve the object ives of the study. The Research design adopted was quasi experimental design. The tool adopted for the s t u d y i s s t an d ar d i z ed ―S t at e t r ai t an x i et y s c al e‖ . T h e t o o l was v al i d at e d by 4 exper ts. A pi lot study was conducted before under taking the main study. The main study was conducted in, Government Gir ls Higher Secondary and Government Higher Secondary School , among 60 adolescent gi rls of age group between 16-18 years. Purposive sampl ing technique was used to select 30 samples into experimental group and 30 students into control group. The study lasted for a per iod of 4 weeks during which, pre test was conducted using State t rai t anxiety scale to access the level of anxiety among adolescent gi rls in both the schools. The intervent ion was given f rom the next day to th e subjects in Government Girls Higher Secondary. The intervent ion had 4 phases; Preparat ion Phase, Incubat ion Phase, Il luminat ion Phase, Evaluat ion Phase. Intervent ion was given for a period of 4 weeks for 30 min per day. The subjects in the Government Higher Secondary School were used for control group. After 4 weeks post test was given to both the groups. The data was analysed by descript ive and inferent ial stat ist ics, the hypothesis was tested, the object ives were achieved and the resul t was presented. Major Findings of the Study The analysis revealed that the analysis of pre and post test score of anxiety of adolescent gi rls were evaluated and showed that the score of anxiety in post test is reduced than the scores in pre test of anxiety. The overal l improvement mean showed a un paired T value of 18.329, which was stat ist ical ly signi ficant at p<0.001 level . These findings revealed that there was significant dif ference in the post level between the experimental and the cont rol group. Conclusion On the basis of the f indings of the study, the invest igator fel t the aerobic dance movement therapy is ef fect ive non – pharmacological therapy for reduct ion of anxiety. Therefore this aerobic dance movement therapy used as a safe and ef fect ive method for g iving support , comfort and relaxat ion to anxiety persons

Impact and Importance of Cashless Transaction in India

The Research paper focuses on impact and importance of cashless policy in India. According to Government of India the cashless policy will increase employment, reduce cash related robbery thereby reducing risk of carrying cash. Cashless policy will also reduce cash related corruption and attract more foreign investors to the country. In many countries introduction of cashless economy can be seen as steps in the right direction. It is expected that its impact will be felt in modernization of payment system, Reduction in the cost of banking service, Reduction in high security and safety risk and also curb banking related corruption. Electronic banking will be made banking transaction to be easier by bringing services closer to its customers hence improving banking industry performance. The financial safety over the digital payment channel is important for pushing the cashless economy idea. A major obstacle for the quick adoption of alternate mode of payment is mobile internet penetration, which is crucial because point of sale terminal works over mobile internet connection, while banks have been charging money on card based transaction which is seen in hurdle. India has been using electronic payment system for many year now, However the retail sector still has predominance of cash transaction and payment through cash is yet to pick up card is the one of the most secure, convenient mode of cashless payment in retail market

Analysis of the Efficacy of Real-Time Hand Gesture Detection with Hog and Haar-Like Features Using SVM Classification

The field of hand gesture recognition has recently reached new heights thanks to its widespread use in domains like remote sensing, robotic control, and smart home appliances, among others. Despite this, identifying gestures is difficult because of the intransigent features of the human hand, which make the codes used to decode them illegible and impossible to compare. Differentiating regional patterns is the job of pattern recognition. Pattern recognition is at the heart of sign language. People who are deaf or mute may understand the spoken language of the rest of the world by learning sign language. Any part of the body may be used to create signs in sign language. The suggested system employs a gesture recognition system trained on Indian sign language. The methods of preprocessing, hand segmentation, feature extraction, gesture identification, and classification of hand gestures are discussed in this work as they pertain to hand gesture sign language. A hybrid approach is used to extract the features, which combines the usage of Haar-like features with the application of Histogram of Oriented Gradients (HOG).The SVM classifier is then fed the characteristics it has extracted from the pictures in order to make an accurate classification. A false rejection error rate of 8% is achieved while the accuracy of hand gesture detection is improved by 93.5%

Recommendation on the Web Search by Using Co-Occurrence

ABSTRACT: In our day to day, the usage of internet and searching the information should be increases rapidly. Because of this, now a days we have facing the problems like whether the retrieving information would be noise free or not and having many confusions with the usage of keywords to get the exact result. To avoid this problem we are going to propose the concepts called Co-Occurrence and recommendation. These two concepts increases the effectiveness and of the result. By using the recommendation concept we have multiple choices to select the desired thing. The web search increases dramatically [1] user search performance leads to large number of confusions. We examine a general expert search problem: searching experts on the web, where millions of web pages and thousands of names are considered. The two main issues are: Web pages might be of untrustworthy and have more noise; the knowledge evidences spotted in web pages are frequently unclear and ambiguous. The skilled search has been studied in different contexts, e.g., enterprises, academic communities. We propose to influence the huge quantity of co-occurrence information to calculate the significance and status of a person name for a query which is given. So this makes the recommendation system the most important and the trust worthiness of the system will be analyzed in the better way. The personalization will be depended based on the individual user process in the web search mainly worked in E-Commerce application

Video Transcript Summarizer

In today’s world, a large number of videos are uploaded in everyday, which contains information about something. The major challenge is to find the right video and understand the correct content, because there are lot of videos available some videos will contain useless content and even though the perfect content available that content should be required to us. If we not found right one it wastes your full effort and full time to extract the correct usefull information. We propose an innovation idea which uses NLP processing for text extraction and BERT Summarization for Text Summarization. This provides a video main content in text description and abstractive summary, enabling users to discriminate between relevant and irrelevant information according to their needs. Furthermore, our experiments show that the joint model can attain good results with informative, concise, and readable multi-line video description and summary in a human evaluation

Multi-Parameter Sensor Based Automation Farming

IOT innovation is used in the development of the Smart Farming Tracking the System. An Arduino Uno, a temperature humidity sensor, soil moisture sensor, water level sensor, water pumps, and DC motors strength this system. If the smart farming tracking system turns on, the sensors find the field’s water level and the soil’s moisture level. If the irrigation water stage falls below the level defined for a specific crop grown in the growing area, the irrigation system is going to start to pump water. The IOT warns concerning current level of water, soil moisture stage, and motor beginning will be shown on the LCD panel of the section. We are able to use the pumps by hand via a webpage. The farmers are additionally getting this data via mobile phone. By hitting a system- provided link, the individual using it may firmly prevent the water’s flow within the field. While carried out, the system will assist landowners to preserve suitable soil water and moisture levels, thus boosting yields with little work. The goal of this article is to identify grow illnesses and reduce losses in money. For picture appeal, we suggested an entirely based on deep learning method. We put the three most common Neural Network Designs to the test: Faster Region-based entirely judgment (SVM)Support Vector Machine Region-based entirely (RF) Random Forest method. The method suggested in the research can correctly detect many types of disease and is capable of dealing in complicated situations. In addition, the method may be expanded to recommend fertilizer according to extent evaluation as well as measurement. artificial intelligence (AI) entirely Machine Learning Response to this the combination the issue is a supervised categorization judgment

Hamacher Maclaurin symmetric mean aggregation operators and WASPAS method for multiple criteria group decision making under T - spherical fuzzy environment

T-spherical fuzzy sets can accurately represent fuzzy information and effectively simulate real-world decision making scenarios by adjusting the parameter t. The Maclaurin symmetric mean can combine multiple arguments by considering the relationships between them in any decision making process. The main goal of this paper is to develop Maclaurin symmetric mean aggregation operators based on the Hamacher operations of T-spherical fuzzy sets. The developed operators are thoroughly examined through their fundamental properties. The defined operators are adopted to develop a decision making methodology called WASPAS (Weighted Aggregated Sum Product ASsessment) for solving multiple criteria group decision making problems in a T-spherical fuzzy environment. A real-life example of project assessment is illustrated to demonstrate the practicality of the proposed decision making approach. Sensitivity analysis of the parameters is carried out to check their effect on the decision results. A comparison analysis with existing methods confirms the accessibility of the developed approach

Authenticated Sharing of Personal Health Records in Cloud

Personal health record (PHR) is an emerging patient-centric model of health information exchange, which stored at a third party, such as cloud providers. However, there have been wide privacy concerns as personal health information could be exposed to those third party servers and to unauthorized parties. Different from previous works in secure data outsourcing, focus on the multiple data owner scenario, and divide the users in the PHR system into multiple security domains that greatly reduces the key management complexity for owners and users. Proposed a novel patient-centric framework and a suite of mechanisms for data access control to PHRs stored in semi trusted servers. Extensive analytical and experimental results are presented which show the security, scalability, and efficiency

An evaluation of moral education's in enriching student's moral behaviour

This research aims to explore the capability of Moral Education in enriching student’s moral behaviour in Melaka secondary school through four research questions, 1) What are the policy, aims and objectives of Moral Education developed by the Ministry of Education in secondary schools?, 2) What are the scope and quality of support, resources, and training in the implementation of Moral Education?, 3) To what extent have the curriculum performance and monitoring, and instructional practices been employed in the implementation of Moral Education?, and 4) To what extent have the actual outcomes of Moral Education been achieved in secondary schools? Qualitative research design is applied in this research with the participation of two moral teachers and five upper secondary students. The data collection techniques apply in this research included document analysis and semi-structured interviews. The data collected are analyzed manually. This research discovered that the Moral Education is effective in enhancing students’ moral behavior. The syllabus of Moral Education is suitable for secondary school students. The curriculum should be continued with some improvement