Volume 11 | Issue 5

 Abstract

Abstract: The National Education Policy (NEP) 2020 is a comprehensive policy aimed at transforming the Higher education system. This study aims to investigate the impact of NEP 2020 on higher education in India through a comparative analysis of select educational institutions before and after the implementation of the policy. The study will employ both qualitative and quantitative research methods to gather data from educators, students, and administrators. The findings of the study will provide insights into the changes in the higher education sector, including curricular reform, pedagogical approaches, and institutional governance. The results will help inform the policy makers and stakeholders on the effectiveness of the NEP 2020 and the areas that require improvement.

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 Keywords

National Education Policy (NEP) 2020, higher education in India, NEP educational institutions, implementation of NEP 2020 policy and its impact, effectiveness and importance of NEP 2020.

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This article provides an overview of the legal framework surrounding undertrial prisoners in India. Undertrial prisoners are individuals awaiting trial or sentencing, and their rights and treatment with- in the criminal justice system are of paramount importance. The article focuses on the key Indian laws and provisions governing undertrial prisoners, including the Code of Criminal Procedure, the Legal Services Authorities Act, the Prison Acts and Rules, and the Juvenile Justice Act. These laws address various aspects, such as the duration of detention, bail provisions, access to legal represen- tation, and the welfare of undertrial prisoners. The article also highlights the Supreme Court guide- lines that have shaped the rights and treatment of undertrial prisoners. By understanding these laws, stakeholders can work towards ensuring fair treatment, expedited trials, improved prison conditions, and access to legal aid for undertrial prisoners in India.

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Prisoners in India, Prisoners Rights in India, Undertrail Prisoners

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Uncultivated plants are vital for ecological and economic sustenance of local people. Uncultivated plants are important for the local people of the area as timber, fodder, fuel, food, medicine and cultural etc. In arid and semi arid region due to environmental conditions crop production is unstable. Uncultivated plants can be used to generate additional income through fodder, fuel, timber, medicine. Uncultivated plants cover soil to check soil erosion. Uncultivated plants are important to make rural livelihood more sustainable. A survey is conducting to know the utilization pattern of uncultivated plants in the surrounding of Sri Ganganagar city. The survey revealed that uncultivated plants are mostly used as timber, fuel and fodder in the study area.

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Uncultivated plants, Fodder, Fuel, Timber

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This study gives a psychoanalytic exploration of Anorexia Nervosa as portrayed in the film 'To the Bone;. Anorexia nervosa is a complicated mental condition marked by distorted body image and severe nutritional restriction. The film provides a narrative that digs into the protagonist's struggle with the condition, allowing for an examination of the underlying psychological processes and therapeutic dynamics. This research tries to uncover the film's unconscious impulses, defence mechanisms, and symbolic representations of food and the body by using psychoanalytic ideas and concepts. Recurring psychological themes and narrative structures are recognised and analysed using qualitative analytical approaches such as thematic analysis and narrative analysis. The study issues concern the presentation of underlying psychological processes, defence mechanisms, therapeutic dynamics, and psychoanalytic discoveries. The findings contribute to a better understanding of anorexia nervosa by shedding light on its psychological intricacies and perhaps directing treatment strategies. This study's goal is to raise empathy and understanding about anorexia nervosa in our culture.

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Anorexia Nervosa, Eating Disorder, Distorted Body Image, Societal Influence, Cognitive Impairment.

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This report presents the design, implementation, and testing of a cell phone jammer. The jammer will be working at GSM 900 and thus jams the three well-known carriers in India (Airtel, BSNL, VI, Jio, and Reliance). The designed jammer could be successful in jamming the various carriers in India as will be shown at the end of this report. Nowadays, mobile (or cell) phones are becoming essential tools in our daily life. Here in India, for example, with a rather low population (around 1 billion), various cell phone carriers are available. Needless to say, the wide use of mobile phones could create some problems as the sound of ringing becomes annoying or disruptive. This could happen in some places like conference rooms, law courts, libraries, lecture rooms, and mosques. One way to stop this disrupting ringing is to install a device in such places which will inhibit the use of mobiles, i.e., make them silent. Such a device is known as a cell phone jammer or "Signal jammer", which is some kind of electronic countermeasure device that can block the frequencies transmitted by cell phone towers and towers phone. The technology behind cell phone jamming is very simple. The jamming device broadcasts an RF signal in the frequency range reserved for cell phones that interferes with the cell phone signal, which results in a "no network available" display on the cell phone screen. However, recently, there has been an increasing demand for cell phone jammers. In this project, a device that will jam GSM 900 services and all other frequencies is to be designed, built, and tested.

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Signal Jammer, Portable Jammer, Network Security, GSM Jammer, Cellphone.

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Abstract: This study aimed to investigate the factors that influence impulse buying behavior in hypermarkets. The research examined the relationships between time spent in the hypermarket, product prices, promotional activities, product categories, and impulse buying behavior. Data was collected through surveys from a sample of hypermarket customers, and correlation analysis was used to determine the strength and direction of the relationships. The findings revealed several significant relationships. Firstly, there was a moderate positive relationship between time spent in the hypermarket and impulse buying behavior. This suggests that as customers spend more time in the store, their tendency to make unplanned purchases increases. Secondly, a moderate positive relationship was observed between product prices and impulse buying behavior, indicating that higher-priced items are more likely to attract impulsive purchases. Moreover, the study found a relatively strong positive relationship between promotional activities and impulse buying behavior. This suggests that when hypermarkets offer discounts, special offers, or sales, customers are more inclined to engage in impulse buying. Lastly, a relatively strong positive relationship was identified between product categories and impulse buying behavior, indicating that certain product categories trigger impulsive purchases more than others. These findings have important managerial implications for hypermarkets. Managers can consider strategies to encourage customers to spend more time in the store by providing comfortable seating areas or in-store experiences. Additionally, they can strategically price higher-priced items to appeal to impulsive buyers and plan promotions to increase the likelihood of impulsive purchases. Furthermore, placing products from impulsive buying-prone categories in high-traffic areas can stimulate spontaneous purchases. In conclusion, this study sheds light on the factors influencing impulse buying behavior in hypermarkets. By understanding and leveraging these factors, hypermarket managers can optimize their strategies to encourage impulsive purchases and potentially increase sales. However, managers should maintain a balance between encouraging impulsive buying and providing a positive shopping experience for customers. Further research could explore the effectiveness of specific strategies in stimulating impulse buying behavior in different cultural contexts.

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impulse buying behavior, hypermarkets, time spent, product prices, promotional activities, product categories, unplanned purchases, customer satisfaction.

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Solar Panels are mostly used in dusty environment. The dust particle is mostly accumulated on the surface of the panel and it blocks Sunlight. It decreases the energy generation capacity of the panel. In this situation periodic cleaning of the Solar panel is required to improve solar energy. In this case we are using Dual Solar Panel Cleaning Machine for cleaning the dust or any other accumulated particle on the surface using water spray and wiper using a high- pressure pump. This system uses a wheel which helps in covering a large surface area in less amount of time. By using this system, we can achieve an output of 15-25%. This type of cleaning machine is a part of automatic cleaning system which reduces Man power and Time consumption is also significantly lowered. Thus, a continuous flow of electricity generation can be generated due to Automated Solar panel cleaning machine.

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Water Spray, Wiper, High Pressure pump, Wheels, cleaning

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The world is becoming unsafe for women in all aspects. The crime against women are increasing at a higher rate. The employed women are feeling unsafe due to increasing crimes. According to the reports of WHO, NCRB-socialgovernment organization 35% Women all over the world are facing a lot of unethical physical harassment in public places such as railway-bus stands, foot paths etc. The security of women is the most important concern these days and to build a safety device to act as a rescue and to prevent from harm at the time of hazard is highly necessary especially for women. Thus this project proposes the intelligent safety system for women to provide the safety measure in public places as well as travelling alone through public transports (school buses, company vehicle etc.). This project proposed a new model for the women security in public places which aims to provide the safety environment. This is a security system that is designed to providing security to women so that they never feel helpless while facing such critical situations.

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CNN, Artificial intelligence, face detection , Microcontroller unit.

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On the basis of secondary data from Census 2011, from Socio-Economic and Caste Census for 2011 and from NSS 69th survey for 2011-12 social group disparities in housing, essential household amenities, and assets are analyzed for rural India and Madhya Pradesh. Data show that relatively lower proportion of households belonging to Scheduled Castes and Scheduled Tribes had good quality houses and sufficient houses to live both in rural India and in Madhya Pradesh when compared with corresponding figures for non-Scheduled Castes/ Scheduled Tribes. Likewise, relatively larger proportion of households belonging to Scheduled Castes and Scheduled Tribes were deprived of essential household amenities (such as electricity, water, and toilet) in house/ house premises for both in rural India and in rural Madhya Pradesh. Larger proportion of Scheduled Castes and Scheduled Tribes households were also deprived of ownership of specified household assets both in rural India and rural Madhya Pradesh. Primary data show even higher deprivation (what are seen on the basis of secondary data) for Scheduled Castes and Scheduled Tribes in ownership of good and sufficient housing, in access to essential household amenities and assets. Besides, Primary data helps to analyze in addition to social group disparities, caste disparities within the respective social group. Caste discrimination against Scheduled Castes and Scheduled Tribes in housing, access to household amenities, income earning assets and household assets are also analyzed on the basis of primary data. Thus, primary data explain the reason for continuing social group and caste disparities in housing, household amenities and household assets.

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Social group and caste disparity, Housing, Household amenities and assets

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Background/Aim: Early ambulation is an important component of postoperative care after major surgery. Its benefits were first reported in 1940. Ambulation is the ability to walk from place to place independently, with or without assistive devices. Early walking is one of the most crucial things seniors can do after surgery to prevent postoperative complications. Walking is a low-intensity activity which is ideal for most seniors who are recovering from a surgery or other hospitalization. This study helps to assess the effectiveness of video assisted teaching on knowledge and practice regarding early ambulation among patients undergone major surgery.

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early ambulation, major surgery.

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Usage of internet is a daily routine nowadays. From office work, e-commerce, banking, education, business, entertainment, stock market, everywhere we depend abundantly on internet. The numbers of internet users are growing largely day by day and so does cyber crimes. Malware is like a weapon used for cyber crime. Analysis of malware is important to prevent malware's action in today's cyber world. This paper is written of static analysis and identification of malware in sandbox environment. Here, in windows 7 ultimate sandbox, static malware analysis is performed using some tools and the malware is identified. Also some details about the malware attached file type; characteristics and functions of the malware, which discover by tools; have been discussed in this research paper.

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Malware, static malware analysis, tools, method of analysis, results, discussion, identification.

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In today's era of stress and fast life diseases are rising their head's up. To be precise the most prominent diseases in day-to-day life are Blood Pressure and Sugar. In the various studies on Blood pressure and Sugar, links were found between them. And the study also depicts that these can be controlled by monitoring and making some minor changes in the lifestyle. The visualizations and the proper diet planning will help the individual to control and avoid the diseases such as blood pressure and sugar.

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Diet Planning, Basal Metabolic Rate, Random Forest Regressor.

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The study has been conducted with the objective of assessing the customer service quality of private sector bank in Tirunelveli city. The use of core banking for private banking system is drastically changing the way of banking activities. Almost all private banks are transforming their banking system to the modern technology in which they can offer efficient banking services to their customer and get customer satisfaction in return. Hence the researcher has taken the study entitled customer satisfaction of core banking services. 50 samples were selected by convenience sampling method. The study reveals that majority of the customer are satisfied with the core banking services provided by the private bank limited in Tirunelveli city.

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core banking services, private banks, customer satisfaction.

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The real-time attendance management system is an innovative solution designed to record the attendance of individual students during lectures without physical contact, making it particularly relevant in a post-COVID world. By utilizing multiple camera angles strategically positioned within the classroom, the system captures a comprehensive view of the lecture space. Advanced face recognition technology analyzes real-time video feeds, identifying and matching student faces with a pre-registered database. This ensures accurate attendance recording in real time, eliminating the need for manual roll calls. Attendance data is securely stored in a centralized database, enabling easy retrieval and analysis. The system offers an intuitive user interface for students and instructors, providing access to attendance records, notifications, and reporting. Data security measures, including encryption and adherence to privacy regulations, ensure the protection of sensitive information. The system can be integrated with existing educational platforms and scaled to accommodate different classroom sizes and institutions. It offers benefits such as contactless attendance tracking, time savings, and improved transparency. Overall, the real-time attendance management system enhances safety, efficiency, and effectiveness in attendance management processes within educational institutions.

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Facial Recognition, Automation, Attendance

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Cut-Fit is a comprehensive fitness application that offers users a one-stop solution for all their health and fitness needs. The app is designed to provide a seamless and userfriendly experience, with an extensive range of features that cater to various fitness goals and lifestyles. The app features a wide variety of workout plans, including full-body, lower body, arm, abs, leg, chest, and shoulder workouts, allowing users to select and customize their workout routines based on their fitness goals and preferences. The app also offers a range of training and meditation features to help users stay motivated and focused on their fitness journey. One unique aspect of Cut-Fit is its allergy feature, which allows users to input their allergies and receive customized meal plans tailored to their specific dietary needs. This feature is especially useful for individuals who suffer from food allergies or sensitivities and require a personalized approach to their nutrition. In addition to meal plans, Cut-Fit also offers a calorie counter, blood pressure calculator and BMI calculator, providing users with the tools they need to track their progress and make informed decisions about their health and fitness goals. The app also features expert tips and guidance from fitness professionals, providing users with valuable insights and knowledge on how to optimize their workouts and nutrition. Overall, Cut-Fit is an ideal fitness app for anyone looking to lead a healthy and active lifestyle. Its wide range of features and customizable options make it a valuable resource for individuals of all fitness levels and goals. Whether users are looking to lose weight, build muscle, or simply maintain their current level of fitness, Cut-Fit provides the tools and guidance necessary to achieve their desired results

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fitness-app flutter health

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 Abstract

Russ (Hb) Findings, Variants & Clinical Significance.

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Russ (Hb) Findings, Variants & Clinical Significance.

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In the area of natural language processing, toxicity comment identification is a critical job for locating and classifying objectionable or damaging information in online discussions. The demand for automated solutions to filter out harmful remarks has increased as a result of the extensive use of social media platforms and online communities. An summary of the methods and procedures employed in toxicity comment detection is given in this abstract. There, offensive language and Toxicity, Comments Severe, Toxic Insult will be used often in Text Classification. Predicting the toxicity of cyberbullying systems is our key objective. Natural language processing will be mostly used since it will be simple to obtain accuracy from the dataset. But in addition, we'll utilise machine learning algorithms to categorise whether cyberbullying remarks are poisonous or not. The majority of the articles are concerned with categorising the toxicity in whatever occurs in pertinent searches, and other approaches are also included in the papers. Moreover, certain NLP methods and many models used for tasks detecting cyberbullying have been examined. Using machine learning to identify cyberbullying, the graph, which is based on the studies evaluated, demonstrates that the Tf-Idf is mostly employed either directly or in conjunction with a variety of different approaches for feature extraction. Mainly iam focused in accuracy only.

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Toxicity, Insult, Machine Learning, Natural Language Processing, Cyberbullying

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The detection of helmets and number plates on vehicles is an important task for enhancing road safety and enforcing traffic regulations. In recent years, deep learning-based object detection algorithms have shown promising results for such tasks. This paper proposes a YOLOv5-based system for detecting helmets and number plates in real-time. The YOLOv5 algorithm is a state-of-the-art object detection model that achieves high accuracy and efficiency on various datasets. The proposed system employs a pre-trained YOLOv5 model, fine-tuned on a custom dataset of helmet and number plate images. The system is designed to work in real-time and can process a stream of video frames to detect helmets and number plates on vehicles. The proposed system achieves high accuracy and speed, making it suitable for deployment in traffic monitoring and surveillance systems. Experimental results show that the proposed system outperforms existing state-of-the-art methods for helmet and number plate detection.

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: Python, CNN, Helmet, vehicle

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The National Stock Exchange (NSE) of India serves as the framework for this study's investigation of the effect of business activities on stock returns. From January 2018 to December 2022, secondary data from the NSE website and annual reports of 50 sample companies across various industries are collected and analyzed using a descriptive study approach. The study tests four research hypotheses about the effect of business activities on stock returns using statistical methods including regression analysis, correlation analysis, and ANOVA. The findings show that business decisions significantly increase stock returns. The analysis also reveals that different company activities, such as bonus issues, stock splits, dividends, and merger and acquisitions, have different effects on stock returns. For investors, managers, and policymakers in the Indian stock market, the study's conclusions are relevant.

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Keywords: Corporate actions, stock returns, National Stock Exchange (NSE), India, bonus issue, stock split, dividend, merger and acquisition.

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Data acquisition (DAQ) is a process in which raw transducer signals are converted to computer readable data so that computers can store and manipulate that data. This is done by converting continuous signal in discrete samples and then converting that sampled signal into digital signal using ADC(Analog to Digital Converter). Specialized hardware is used as an interface between the DAQ system and the computer called DAQ card. Data Acquisition (DAQ) is widely used in Research and Development, Quality Control, Testing. DAQ cards can be supplemented with DAQ software. LabVIEW is a commonly used software for DAQ applications. LabVIEW i.e. Laboratory Virtual Instrumentation Engineering Workbench is a software by NI (National Instruments). LabVIEW is a graphical programming language and is widely used by scientists and engineers. This article tries to summarize the recent advancements in data acquisition technology and also explains the utility of LabVIEW software in DAQ applications related to temperature measurement.

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LabVIEW, DAQ

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