Volume 12 | Issue 5

 Abstract

Solar energy is one of the most important and fastest growing renewable energies. One of the main design goals of a PV system is to obtain the maximum output power from solar PV with minimum losses. To achieve this, various techniques for tracking the peak performance point of PV system are reported in several literatures. In this paper, the theoretical details for the development and implementation of a Maximum Power Point Tracking (MPPT) controller using an artificial neural network for a stand-alone photovoltaic system are carried out. A 350W solar PV array from MATLAB/Simulink is used. Real-time data about changing environmental conditions, such as changing irradiance and temperature, is used to train and test the neural network. Simulation results are presented under rapid changes in solar radiation and temperature along with changing load conditions, which confirms the effectiveness of the proposed method in terms of efficiency. Small to negligible oscillations around the maximum power point and easy implementation are the main advantages of the proposed MPPT control method.

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Maximum Power Point Tracking (MPPT), Solar photovoltaic (PV) system, Neural Network (NN).

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Smart sort is a project using artificial intelligence (AI) to revolutionize waste segregation. It integrates Edge Impulse Studio, a leading platform for edge AI development, to create an intelligent, real-time system that enhances recycling efforts and reduces landfill burden. The AI models classify waste types using advanced voice recognition and machine learning techniques. The system's real-time capabilities allow for immediate sorting, recycling operations, and minimizing contamination. The project aims to create a sustainable waste management system that promotes environmental awareness and responsibility.

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Artificial Intelligence .Audio Classification, Waste Management , Edge AI

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Abstract The main purpose of this study was to assess the status of women participation in educational leadership of government secondary schools in Dessie zuria woreda. Hence, to realize this purpose, secondary school teachers, principals, vice-principals, parent teacher association (PTA) and woeda education officers were used as the target population. In order to make manageable, the sample government secondary schools teachers were selected by simple random sampling technique, and vice-principals, principals, wordea education officers and members of PTA were selected though comprehensive sampling techniques. This study had employed mixed research design particularly concurrent design. Both closed-ended and open-ended questionnaires, semi-structured interviews, and document analyses were used to collect data. The pilot-study was conducted to check the reliability of instruments. Frequency counts, percentages, mean and standard deviations were employed for quantitative data through closed-ended questionnaire and data through qualitative questionnaire were narrated. The finding showed that there is still low participation of women in secondary school leadership and attitude and challenges like misperception of stakeholders, women conflict of roll between their professional duty and family issues, women's poor self-image remain unchanged. Thus, it was concluded that there is a gap in creating awareness in implementation of policies, rules and regulations in people's attitude towards women's secondary schools leadership and competency of female principals is not included in this study. Therefore, it was recommended that the government, the woreda education office society and stakeholders should give great emphasis to work on women leadership; the school leaders should arrange continuous training for school community particularly for female teachers to alleviate the cultural and capacity related factors. The government should seriously look into issues of low women's participation in educational leadership institutions.

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Key words: Secondary Schools, Educational leadership, Participation, Leadership, Stakeholder, Feminist, Status, Woreda

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In computer science, object detection is an impor- tant role in the domain of computer vision. Object detection helps in locating and identifying objects present in an image or video sequences. It has many applications including traffic control systems, face detection algorithms and robotics among other applications. The high accuracy experienced here means most of its applications are so sensitive to errors hence required accompanying such high precision levels at all times. Object detection task is to recognize what things are present in an image. The process involves defining a bounding box around the object(s) and identifying the class of the object within that box using various algorithms like SVMs and Neural Networks which are common techniques used for this purpose by researchers working on projects related with machine learning or otherwise artificial intelligence fields when they use digital images/videos taken from a digital camera mounted on an object or recorded by CCTV lenses at the street corners for better strategic positioning of cameras.

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object detection, machine learning, deep learn- ing, YOLO, SSD, R-CNN, RNN, real-time object detection convolutional neural networks.

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Automated Conversation Analysis (ACA) has emerged as a critical area of research, fueled by advancements in artificial intelligence and natural language processing. This paper provides an overview of ACA, exploring its methodologies, applications across various domains, and the challenges it faces. Through a comprehensive review of literature and analysis, this paper aims to elucidate the current state of ACA, its potential implications, and avenues for future research. Automated Conversation Analysis (ACA) has emerged as a pivotal research domain, propelled by advancements in artificial intelligence (AI) and natural language processing (NLP). This paper presents a comprehensive overview of ACA, examining its methodologies, applications, and challenges. ACA involves the use of computational techniques to analyze conversational data, extracting valuable insights and patterns. Keywords: Automated Conversation Analysis, Natural Language Processing, Artificial Intelligence, Conversational Data, Insights, Patterns.

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Automated Conversation Analysis, Natural Language Processing, Artificial Intelligence, Conversational Data, Insights, Patterns, Customer Service

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ABSTRACT: University libraries play a crucial role in encouraging the academic mission of educational institutions by providing access to information resources, services, and spaces that pave the way for teaching, learning, and research. In today's robust and competitive higher education panorama, the potent management of university libraries is necessary for assuring the delivery of high-quality services that meet the unfolding needs of users. Total Quality Management (TQM) puts forward a strategic framework for strengthening the quality and productiveness of library operations through constant improvement, consumer focus, and employee empowerment. This paper analyses the significance of Total Quality Management in university libraries. It underscores the distinctive challenges confronted by academic libraries, including rapid technological advancements, changing user expectations, and budget constraints, and testifies how TQM principles can help address these issues. By accepting TQM principles such as customer focus, employee involvement, process improvement, and leadership dedication, university libraries can enhance their operations, boost user satisfaction, and expand the value they provide to the academic community. Through an inspection of TQM principles and their application in university library settings, this paper designs to provide intuitions into the benefits of implementing TQM practices. Case studies, examples, and theoretical insights will be used to demonstrate how TQM can authorise university libraries to acclimatize to changing atmosphere, enhance service quality, and nurture a culture of incessant improvement. Eventually, this paper stresses the consequence of Total Quality Management as a strategic approach for ensuring the everlasting success and sustainability of university libraries in a developing academic landscape.

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: University library, TQM strategies and applications, Efficient library services, TQM approach, User satisfaction, New library culture.

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In today's digital era, navigating through vast volumes of online information poses a formidable challenge. Extracting accurate insights from this abundance demands efficient tools like Textbyte. These tools play a pivotal role in condensing extensive content into concise summaries, empowering users to grasp complex data swiftly. While Wikipedia articles are renowned for their depth, abstraction techniques aid in distilling this information without diluting its essence. Abstracting content involves minimizing its volume while retaining its core meaning, a crucial aspect for streamlined research and information processing. Textbyte leverages advanced features, including YouTube video summarization, PDF chatbot integration, and file summarization. Users can input a video link for summarization, inquire about a provided PDF, or receive a summary of a text file. Notably, Textbyte employs cutting-edge NLP techniques, utilizing the LLM architecture and an extractive model, powered by SQL lite, to ensure accurate and efficient summarization.

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Text Summarization, chat with PDF, YouTube Video Summarization, NLP, LLM Architecture, Extractive model, Abstractive model

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This project delves into the financial intricacies of raw material management and obsolescence in automotive industries, with a specific focus on BMW Plant Chennai, A world renowned global leader shaping the automotive industry, within the broader context of thew automotive industry raw material obsolescence occurs when previously used materials become outdated or unused due to various advancements, regulatory changes and other factors. The core of the report is to explore how outdated and damaged materials can disrupt production, cause inventory written-offs and incur redesign expenses, ultimately affecting the plant's profitability. The automotive industry is particularly susceptible to this issue, as advancements in technology and regulations can render previously utilized materials unusable. The company's international market presence is a key focus of this abstract, leveraging a well-established global level production and a keen understanding of the prevailing market trends. The ultimate goal is to provide the plant with actionable insights to mitigate these financial repercussions by involving strategies like supplier diversification, design for adaptability, optimized stock management practices, by proactively addressing raw material obsolescence and material management.

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Financial impacts, Material management, Inventory Obsolescence, Automotive Industry

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Instant messaging applications have become ubiquitous tools for modern communication, facilitating real-time interaction and connection across the globe.(1)Among the multitude of options available, WhatsApp, Facebook Messenger, WeChat, and Telegram emerge as the foremost contenders in this digital arena. (2)This elongated abstract provides a comprehensive overview and analysis of these top four instant messaging applications, examining their features, user bases, security measures, business models, and societal impacts. WhatsApp, with its acquisition by Facebook, boasts an extensive user base exceeding 2 billion globally. Offering end-to-end encryption, multimedia sharing capabilities, and voice/video calls, WhatsApp provides a user-friendly interface for seamless communication. However, concerns regarding privacy and data sharing practices with its parent company persist.(3) Facebook Messenger, integrated with the Facebook social media platform, serves over 1.3 billion users worldwide. Its features include chatbots, group chats, voice/video calls, and an array of expressive stickers and emojis. Despite its popularity, Facebook Messenger faces scrutiny for its data collection practices, raising privacy concerns among users.(4) WeChat, developed by Tencent, has evolved into a comprehensive super app, encompassing messaging, social media, mobile payments, gaming, and more. With a staggering 1.2 billion monthly active users predominantly in China, WeChat dominates its home market and has expanded globally. However, its close ties to the Chinese government raise questions about privacy and censorship. Telegram distinguishes itself with a strong focus on privacy and security, offering features such as secret chats, self-destructing messages, and optional end-to-end encryption. (5)With over 500 million users, Telegram prioritizes user privacy and refrains from targeted advertising. Nonetheless, its commitment to privacy has drawn criticism for potentially facilitating illicit activities. A comparative analysis of these four instant messaging applications reveals their respective strengths and weaknesses. While WhatsApp and Facebook Messenger excel in user base and features, they face privacy concerns due to data sharing practices. WeChat's multi functionality and dominance in China contrast with concerns about government surveillance. Telegram's emphasis on privacy may hinder monetisation efforts and raise challenges in combating misuse.(6) Beyond their technical functionalities, instant messaging applications have profound societal impacts, influencing communication patterns, social interactions, and even political dynamics. These platforms facilitate global connections, empower businesses, and enable activism, but they also raise concerns about privacy, misinformation, and surveillance.

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Instant messaging applications,, WhatsApp Facebook ,Messenger ,WeChat ,Telegram, User privacy ,Data sharing practices ,End-to-end encryption ,,Societal impact Comparative analysis

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Public transport is the cheapest and most reliable transportation system in India, hence it has always been popular with the masses. Buses are an integral means of public transport which plays an vital role in transportation in India. The advancement in transport system has been increasing in day-to- day life as more and more people rely on public transport to go to work, school, hospitals, etc. Even though the public transport buses have been providing fairly satisfactory services, there is a need for smart and reliable system. The major problem in local buses are about issuing bus tickets, which often leads to conflict between the passenger and the conductor. Keeping this in mind we are developing an android application which will provide an efficient and smooth bus ticketing experience for both the user(passenger) and the service provider(conductor). The android application provides an interface for the bus ticketing system combined with the technology of QR Code for quick money transfer. QR Code or the Quick Response Code is the most dominant form of storing and exchanging information between devices. It's a type of matrix Bar Code and has more capacity than UPC Codes. Typically scanned and interpreted by camera enabled smartphone, but also can be interpreted or generated by any camera device implemented with QR decoding logic. The passengers can go cashless using this application, neither the conductor has to worry about returning change for the paid bus fare. By this application, we can minimize the usage of paper tickets which will also help in green India.

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Bus ticket, Application

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This research paper delves into the multifaceted landscape of brand transformation and societal impact through an in-depth analysis of the rebranding journey undertaken by Hindustan Unilever Limited's Fair and Lovely to Glow and Lovely in the Indian market. Against the backdrop of historical associations between Fair and Lovely and conventional beauty standards centered around fair skin, this study examines the strategic motivations, implementation processes, and ensuing consequences of the rebranding initiative. It employs a comprehensive methodology, combining qualitative and quantitative approaches, including surveys, interviews, content analysis, and market trend evaluations to gather insights from diverse consumer segments. The core motivation for the rebranding is scrutinized, emphasizing the brand's responsiveness to mounting criticisms regarding the perpetuation of colorism and exclusive beauty ideals. Embracing diversity and inclusivity emerges as pivotal drivers behind the transformation, mirroring broader shifts in global attitudes toward more authentic and inclusive beauty standards. The study explores the nuanced strategic implementation, encompassing the name change from Fair and Lovely to Glow and Lovely, product portfolio evolution emphasizing holistic beauty, and the launch of marketing campaigns redefining beauty norms. Consumer response to the rebranding constitutes a critical focus, involving an analysis of varied reactions, skepticism, and shifts in behavior. The paper dissects societal impacts, unraveling the cultural influence sparked by Glow and Lovely's rebranding and its symbiotic relationship with broader societal movements advocating for diversity and inclusivity. Authenticity concerns and persisting fairness-related messaging in advertisements form the crux of challenges and criticisms, shedding light on potential hurdles faced by the brand. As a broader industry implication, the research assesses trends in the beauty sector towards inclusivity and the consequential influence on other brands to reevaluate their messaging and offerings. The study culminates in a futuristic outlook, contemplating the long-term impact of Glow and Lovely on both the brand and the beauty industry. It underscores the role of ongoing scrutiny and consumer feedback as decisive factors shaping the brand's narrative and contributing to the evolving landscape of beauty standards. This research paper endeavors to provide a thorough examination of the brand transformation undertaken by Fair and Lovely, delving into its motivations, strategies, and societal consequences. By doing so, it contributes to a deeper understanding of the intricate dynamics between brand image, societal expectations, and the transformative potential within the beauty industry.

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Rebranding, Fair and Lovely, Glow and Lovely, Beauty industry, Inclusivity, Diversity, Empowerment, Consumer perceptions, Branding strategy, Market dynamics, Consumer behavior, Beauty standards, Societal impact, Cultural sensitivity, Ethical practices, Regulatory scrutiny

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The Natyashastra is the first text that comes to one's mind when dance is talked about. It is a mammoth treatise that elaborately specifies all the elements of not just dance, but drama and music as well. The Sangita Ratnakara is used by musicians as it provides detailed information on music, its structure, and musical instruments. It however contains a chapter on Angika Abhinaya related to dance. Most of the information in this chapter has been taken with reference to the Natyashastra, however there are some differences that mark the changes in traditions over a period of nearly 11 centuries.

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Natyashastra, Sangita Ratnakara, Nrutyadhyay, Angas, Pratyangas, Upangas, Karanas, Angaharas, Rechakas, Vritti, Abhinaya Darpanam.

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The study focuses on the high level of social anxiety and the way it impacts young individuals in Chennai. Social interactions and peer relationships play an important role in the development of social anxiety, which is a significant mental health concern during teenage years. This study uses a quantitative methodology to collect data from youth aged 15 to 24 using a SAQ-30 questionnaire. The main objective of this study is to assess young people's level of social anxiety. The findings show that among Chennai's youth population, social anxiety symptoms impact women more than men. The study also examines how social anxiety affects the emotional, social, and psychological spheres of analysis and well-being. To promote holistic well-being and healthy social connections among young people affected by social anxiety in Chennai and beyond, the research emphasizes the need to improve their overall well-being and quality of life.

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Social anxiety, peer relationships, social interactions, mental health

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The current rapid growth in the economy and the patterns of consumers' consumption and behavior worldwide are the main cause of environmental deterioration. As the environment continues to worsen, it has become a persistent public concern in the developed countries and has recently awakened developing countries to the green movement. "Green Marketing" refers to holistic marketing concept wherein the production, marketing consumption and disposal of products and services happen in a manner that is less detrimental to the environment with growing awareness about the implications of global warming, not non- biodegradable solid waste, harmful impact of pollutants etc. This paper is essentially exploratory in nature and has four objectives. The objectives are consumer opinion towards key issues of green products, attitudes of respondents towards green products, factors influencing the purchase of green products and the impact of demographic factors on the purchase of green products. The result from the independent sample t-test shows that there were no significant differences between gender in their environmental attitudes and attitudes on green products. The rotated factor matrix validated the underlying dimensions of environmental attitudes into four major dimensions. Results from the multiple linear regression analysis revealed that consumer attitudes on the respondents and their personal use towards the environment contributed significantly to their attitude on the green product. However, environmental protection did not contribute significantly to consumers' attitudes on the green product.

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Environmental attitude; green products; consumer attitude.

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Travel Diary has revolutionized the way we record and share our travel experiences. This innovative app allows users to create detailed travel itineraries with vivid descriptions, eye-catching photos, and important details. Collaboration features allow friends and fellow travellers to enrich each other's stories, creating a vibrant community of explorers. Easily upload photos and videos, receive real-time notifications, and connect with a global audience of like-minded adventurers. Using artificial intelligence technology, Travel Diary simplifies travel planning by creating customized itineraries based on individual preferences. Discover new destinations, connect with influencers, and bookmark your favourite routes for future reference. Intuitive search features allow users to easily find and follow travel companions, expanding their network and discovering new horizons. Explore the world like never before with Travel Diary, where every trip becomes a valuable story to share.

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Travel Diary, Itineraries, travel planner, adventures, stories, trips.

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 Abstract

Ayurvedic medicine is one of the world's oldest medical systems and remains one of India's traditional health care systems. Acharya Charaka has described Raktapitta as Mahagada and an acute dreadful disease, having more severity and quick acting like fire.[1] The name itself suggests that the disease- Raktapitta is caused by vitiation of two body elements, namely Rakta and Pitta together due to their Ashray - Ashrayee relationship. The main clinical sign observed is Rakta dhatu flows out of the body through any opening or outlet without any certain cause like injury. Bruhatrayi has explained the Nidan Panchaka as well as Chikitsa of Raktapitta briefly. In Ayurveda Raktapitta is correlated with bleeding disorder as per contemporary science. A Bleeding disorder is a condition that affects the way your body normally clots. Sometimes certain conditions prevent blood from clotting properly, which can result in heavy or prolonged bleeding. Charakacharya has suggested that initially no attempts should be made to arrest the bleeding out of the body as well as elimination of Doshas from opposite route is recommended.[2]

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Raktapitta, Rakta, Pitta, Mahagada, Bleeding disorders.

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Human skin, the outer covering of the body, is the largest organ in the body. It also constitutes the first line of defense. According to Ayurveda, the skin is one of the essential sense organs. Ayurveda has its own unique principles of diagnosis and treatment of various skin diseases under the heading of Ku??ha. When we consider the prevalence of various diseases, every year, worldwide near about 20% of the total number of patients seeking medical advice suffer from skin diseases including cosmetic problems. Skin disease is a common ailment and it affects all ages from the neonate to the elderly and causes harm in a number of ways. Beside this, people suffering from skin disease suffer from social stigma.

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Keywords: Kustha,Skin disease,Principles of diagnosis.

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 Abstract

Ayurveda is a branch of medicine that has its earliest roots in the Indian region. Ayurvedic methods and remedies have been incorporated into general health applications and, in some circumstances, into medical applications. With development, lifestyles undergo very dramatic changes causing vitiation of Tridoshas and manifestation of diseases. The unhealthy environments, bad eating habits, working shift jobs and anxiety, etc. are some factors that affect human health significantly. These all factors lead many pathological conditions and Sheetpitta is one of them. In Ayurveda, Sheetpitta is referred to as a Tridoshaj Vyadhi; however Rasa and Rakta are the primary Dushya while Vata and Pitta Dosha are predominate. Sheetapitta is Twak Vikara in which Tridosha Prakopa causes skin redness, swelling, itching and other symptoms. Ayurveda described some therapies including Doshas purifying approaches and application of internal medicines. Abhyanga, Svedana, Vaman and Virechen mainly indicated along with drugs like Haridra, Guduchi, Yashtimadhu and Amalaki, etc. This review presents Ayurveda and modern considerations on Sheetapitta.

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 Keywords

KEYWORDS: Ayurveda, Sheetapitta, Twak Vikara, Urticaria, Rashes.

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 Abstract

According to Ayurveda for proper regulation of body, Agni plays a very important role. But nowadays, sedentary lifestyle has leads to agni vikruti and further formation of apakva ahara rasa and improper dhatu formation, eventually leading to a disturbed metabolism and formation of various diseases. Grahani roga, Arsha, amlapitta, constipation is commonly seen in clinical practice. For treatment, various dravadravyas are explained in Ayurveda classics, takravarga is one among them. Different Takra kalpanas are mentioned by Acharyas which are very useful in digestive problems and considered to be useful in diseases of Vatakaphaja origin. It is also mentioned in conditions like Grahani, Udara, Gulma, Pandu, Arsha, Mutrcakruchra, Atisara, etc. Takra is deepana, grahi, laghu, vatanulomaka, vatakapha shamak and does not cause aggravation of Pitta. In this article, an effort is made to explore the Takra prayoga mentioned by Ayurveda classics. Aim-To study Takra, pana in various disease conditions. Objectives-To study in details about Takra, its properties, Doshaghnata, indications, contraindications and its use in various disease conditions. Material and Methods-Literature search from Ayurvedic classics text. Discussion- Takra Prayoga in Various Disorders will be evaluated in this section. Results/Conclusion- Based on Rasa, virya, Vipaka and Sanskara on Takra it is used in different disease conditions. Aim-To study Takra pana in various disease conditions Objectives- To study in details about Takra, its properties, Doshaghnata, indications, contraindications and its use in various disease conditions.

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Keywords: Takra, Takra Kalpanas, Vatakapha shamaka Grahani, Gulm, Udara, Arsha

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The trapezius muscle injuries are one of the most common muscular load injuries among data entry operators. Bowen technique and muscle energy technique both helps to reduce the pain and improve functional activities. So, the main objective of this study is to compare the effectiveness of Bowen technique and muscle energy technique among data entry operator with trapezitis. The study design was a comparative study, 24 data entry operators with trapezitis were selected. They divided into two groups, GROUP A (n=12) Bowen technique and GROUP B (n=12) Muscle energy technique for 4 weeks. The outcome measure are NPRS and NDI were measured in pre and post-test for 4 weeks . The statistical analysis done with unpaired 't' test between the Group A and Group B analysis shown significance (p<0.001), which shows that Group A must be significant than Group B, it have been concluded that Group A shows effect on reducing pain and improving the functional activities than Group B among data entry operators with trapezitis This study conclude that the Bowen technique (Group-A) shows more significant on reducing pain and improving the functional activities in data entry operators with trapezitis when compared with Muscle energy technique (Group-B).

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Bowen technique, Muscle energy technique, NPRS, NDI, Trapezitis, cryotherapy.

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