Volume 12 | Issue 5

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In the contemporary landscape of education and technology, the demand for innovative learning solutions has paved the way for the development of cutting-edge projects. One such endeavor is the creation of a Data-Powered VoiceMatic Chatbot Conversation designed to enhance the learning experience. This project converges advancements in chatbot technology, machine learning, and Android application development to offer a dynamic and personalized learning platform. The primary objective of this project is to revolutionize traditional learning paradigms by introducing an intelligent and conversational interface. Users can engage in interactive conversations with the VoiceMatic Chatbot, receiving personalized guidance, educational content, and real-time feedback. Through the utilization of machine learning, the chatbot continuously refines its understanding of user preferences, thereby optimizing the learning journey for each individual.

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VoiceMatic Chatbot, Machine Learning , Android Application,Real-time Feedback.

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This study aims to improve the quality of life and promote a culture of health and well-being for people around the world by arguing for a comprehensive approach to health promotion that considers the interconnection between physical and cognitive health. A survey instrument was developed to evaluate participants' attitudes and behaviours about physical fitness and cognitive ability. The survey responses were analysed using relevant software packages to perform descriptive and inferential statistical analysis on the quantitative data. The analysis of the survey data reveals several key findings regarding the perceptions and beliefs of participants regarding the interrelationship between physical activity and cognitive abilities: (1) A vast majority (94.4%) of respondents report noticing positive changes in their cognitive abilities following engagement in regular physical exercise, affirming the beneficial effects of exercise on cognitive function; (2) regular exercise contributes significantly to intellectual development, particularly in enhancing concentration, reducing age-related cognitive decline, and improving sleep quality, underscoring the holistic benefits of exercise for cognitive health; (3) regular exercise is perceived to be associated with improved cognitive development, with a focus on memory, attention, and executive function; and (4) the significance of elements such as diet, sleep, and preparedness for learning. The findings of the study highlight the intricate and diverse connection between physical exercise and cognitive capacities, offering significant knowledge for boosting overall health and guiding interventions to improve cognitive health and performance in various populations.

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OUR FITNESS HAS SOME LINK TO OUR INTELLIGENCE

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The present study explores the viewpoints of school heads and teachers in higher education for guidance and counselling programs functional in secondary Schools of Jajpur District of State of Odisha. The investigators collected data from five different Schools of both state and CBSE board. It was found that the counsellor's contribution has improved the overall participation of students in Co-Curricular activities and career choices based on aptitude of secondary students in a few schools. Some schools have appointed regular counsellors to nurture the young minds to stay motivated and make smart career decisions. Some other teachers and heads opined that the institute should be provided with a regular counsellor to help students make good career decisions based on aptitude, and getting involved in cocurricular activities, which would make the school environment more inclusive and goal oriented.

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Guidance, Counselling, Higher Secondary Institutions, Career Choices, Decision Making

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Facial emotion recognition (FER) is an important topic in the fields of computer vision and artificial intelligence owing to its significant academic and commercial potential. Although FER can be conducted using multiple sensors, this review focuses on studies that exclusively use facial images, because visual expressions are one of the main information channels in interpersonal communication. This project provides a brief review of researches in the field of FER conducted over the past decades. First, conventional FER approaches are described along with a summary of the representative categories of FER systems and their main algorithms. FER approaches using neural networks enabling "end-to-end" learning are then presented. This work also focuses on an up-to-date hybrid learning approach combining a neural network (NN) for the spatial features of an individual frame and long short-term memory (LSTM) for temporal features of consecutive frames. In the later part of this paper, a brief review of publicly available evaluation metrics is given, and a comparison with benchmark results, which are a standard for a quantitative comparison of FER researches, is described. This review can serve as a brief guidebook to newcomers in the field of FER, providing basic knowledge and a general understanding of the latest state-of-the-art studies, as well as to experienced researchers looking for productive directions for future work.

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Facial Emotion Recognition, Conventional FER, Convolutional Neural Networks, Deep Learning- based FER, Principal component Analysis (PCA).

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OBJECTIVE - To evaluate the effect of body weight support treadmill training on balance in stroke individuals. METHOD - A scoping review of observational, experimental, randomized control trials were performed. Google Scholar, EBSCO host and PubMed were searched using terms balance and body support treadmill training and stroke. The PRISMA-Scoping review checklist and preferred reporting items used to analyze each report's section. RESULT - A total of 67 studies were selected, of which 14 were published between 2010-2023 were included in the study. CONCLUSION- This review suggests that body weight support treadmill training is effective on balance in stroke individuals.

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Stroke, body weight support treadmill, balance

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Abstract: The number of people employed under public sector is decreasing every year. The peculiar pluralist character of Indian society, with diverse living standards of people, necessitates differential and preferential treatment. There is an alienation of certain sections of people from the main stream of the society due to social, economic, political and economic backwardness. In fact, there subsists social exclusion of such sections of people in India. Looking from the perception of justice, treating 'equals' equally and 'unequals' unequally, the state is coerced to provide positive discrimination. Reservation is the key process of social inclusion. However, reservation has to compromise quality as well as productivity and therefore, unlike in public sector its appliance in private sector is tedious task. In recent times, the government of India has been giving greater emphasis on privatisation in their policy framework. Leaving many posts under the public sector unfilled and promoting informal employment has become another policy of the government. Despite this trend, the demand for employment in public sector is very high. The national employment exchange statistics report discloses that over 433.8 lakhs of job seekers have registered for employment in period 2012-16. This privatisation policy would definitely alter the prevailing reservation statistics and create a very redundant social environment for the people belonging to the backward sections. There is also the dichotomy of raising the percentage of reservation on the one side and falling public employment rate, where reservation is applicable, on the other side. The progress brought about by privatisation would benefit mainly the forward sections of people. Apart from the perpetuation of the existing social exclusion, large scale privatisation would give birth to new socially excluded sections of people.

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Social Exclusion, Privatisation, Reservation

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The study explored the attitudes and achievements of secondary students towards geography, with a specific focus on Murshidabad, West Bengal. Utilizing descriptive statistics and independent sample t-tests, the research examined gender differences in attitudes, academic achievements, and the relationship between attitudes and achievements. Results indicated significant disparities between male and female students in enjoyment of the subject, engagement with content and academic achievements, with females consistently outperforming males. Moreover, a strong positive correlation is found between attitudes towards geography and academic achievements. These findings underscored the importance of addressing gender disparities and fostering positive attitudes towards geography through interactive teaching methods, culturally relevant curriculum, and inclusive learning environments to enhance student engagement and academic success in geography education across West Bengal.

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Geography education, Secondary students, Attitudes, Academic Achievements.

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Construction industry could be considered as a very important sector for development all over the World and the construction cost is the most important element in it. The construction project can vary from extremely profitable to barely worth it and sometimes end up costing the contractor more than what he or she is getting paid to complete it. In construction industry the aim of project control is to ensure the projects finish on time, within budget and achieving other project activities. Time and cost are two main concerns which increase importance of cost reduction techniques. Reduction of cost of construction is a constant goal for construction industry. One way of reducing construction cost is to develop innovative technologies as well as methodologies to increase productivity. This study was carried out to identify the factors affecting construction cost. The factors were identified based on case studies and market surveys. In this paper, we have studied different techniques for optimization. To minimize the construction cost and duration at each phase is important. It is a need to meet the present day requirements and to complete the project within the estimated time, cost, and available resources. Mainly affecting the factor on cost of project is delay in project and material. Several methods have been developed and applied to analyze the time-cost problems, but they can optimize only one parameter. Various low cost material also suggested for optimizing the cost of project along with maintaining the quality and strength of the project. Also various mathematical method and software based models studied for optimization. This study centers on assessing the cost of construction project and compare the construction cost with the optimized cost of the same building by using advance construction techniques and materials. Outcomes of cost study suggest that the construction cost of residential building project is reduced by 20-30%, 10-20% in infrastructural projects and 25-35% in industrial projects than the construction cost.

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Value Engineering, Cost Optimization Techniques, Advance methods, Material Management, etc.

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As plug-in hybrid electric vehicles (PHEV) become more popular, the utility companies are forced to feed the grid more electricity. However, these PHEVs are capable of providing power to the grid when they are parked serving as ancillary systems for grid regulation (V2G). Using a system based on photovoltaic (PV) technology, a design for a bidirectional inverter with LCL filter, and a bidirectional dc-dc with a constant current controller, was constructed using LT spice. Various papers were researched and analyzed to determine applicable designs for components. Simulations show the designs are capable of bidirectional power transfer. ETAP simulations show that delivering power to the grid provides additional unnecessary reactive power. Additional design topologies are recommended for future workThe society of automotive engineers define three levels of charging for EVs. level 1 charging uses a plug to connect to the vehicle's on-board charger and a standard household (120v) outlet. This is the slowest form of charging and works for those who travel less than 60 kilometers a day and have all night to charge. Level 2 charging uses a dedicated electric vehicle supply equipment(EVSE) at home or at a public station to provide power at 220 V or 240 V and up to 30 A. The level 3 charging is also referred to as dc fast charging time to 20-30 mins. DC fast charging is preferred for implementing a V2G architecture in micro-grid due to the quick power transfer that is required when EVs are utilized for energy storage. Also the dc bus can be used for integrating renewable generation source into the system.

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Keywords: Bidirectional, Inverter, DC-DC, PHEV, PEV, Vehicle-to-Grid, V2G

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Distributed Denial of Service (DDoS) attacks pose a significant threat to cloud computing infrastructures, with the potential for substantial financial damage. Current detection approaches often fall short in addressing the sophisticated attack strategies that exploit the unique characteristics of cloud systems, such as elasticity and multi-tenancy. This research proposes a novel framework that leverages trust-based mechanisms to improve the detection of suspicious nodes within cloud-based virtual machines. Through combining data-driven and opinion-based trust sources via Bayesian reasoning, the hypervisor can establish reliable relationships with guest VMs and make informed decisions about their trustworthiness. Additionally, a game-theoretic approach is introduced to optimize the allocation of detection load among VMs, maximizing the identification of DDoS attacks while minimizing the utilization of critical cloud resources. Comprehensive evaluations demonstrate the effectiveness of the proposed solution, with enhanced attack detection rates, reduced false positives and negatives, and efficient resource utilization compared to existing methodologies.

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game theory, virtualization, security, trust, cloud computing, distributed denial of service (DDoS), detection load distribution

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TUMORS , BEE VENOM , ANTICANCER

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mucoadhesive nanoemulsion,Migrane, intranasal,NDDS, Ace-Inhibitor

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Corporate Criminal Liability (CCL) jurisprudence has become increasingly significant in India amidst rapid economic growth and globalization. This research paper delves into the evolution of CCL jurisprudence in India, examining pivotal judicial decisions, legislative provisions, enforcement challenges, and recent developments. The analysis aims to provide a comprehensive understanding of the current state of CCL, identify shortcomings in existing legal frameworks, and propose policy recommendations to enhance corporate accountability. The research explores landmark cases such as Standard Chartered v. Directorate of Enforcement and Aneeta Hada v. M/s Godfather Travels & Tours Private Limited, which have shaped the trajectory of CCL jurisprudence in India. These cases elucidate the principles of corporate liability and address the complexities surrounding vicarious liability in the absence of explicit statutory provisions. However, challenges persist in establishing mens rea and attributing corporate misconduct to individual directors. The effectiveness of current sentencing regimes, predominantly reliant on fines, is critically evaluated. Despite efforts to impose substantial fines, their deterrent effect on corporate misconduct remains dubious, especially for large corporations capable of absorbing financial penalties. Enforcement challenges, including spillover effects and the burden on government resources, underscore the imperative for alternative sentencing mechanisms. Identified gaps in the legal framework reveal deficiencies in addressing corporate criminal intent and holding corporate directors accountable for organizational wrongdoing. The absence of innovative sentencing options, regulatory fragmentation, and inadequate legislative provisions pose significant hurdles to prosecuting corporate offenders effectively. To address these challenges and enhance corporate accountability, policymakers are urged to consider a multifaceted approach. Proposed policy recommendations include the introduction of innovative sentencing options beyond fines, consolidation of regulatory oversight, legislative reforms to clarify corporate criminal intent, and capacity building for law enforcement agencies and judicial officers. In conclusion, while India has made strides in recognizing corporate accountability, there remains a pressing need to strengthen legal frameworks for CCL. By implementing the proposed policy recommendations and fostering collaboration among stakeholders, India can fortify its stance on corporate accountability and align with global best practices in combating corporate misconduct.

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Corporate Criminal Liability, Jurisprudence, Legal Framework, Enforcement Challenges, Policy Recommendations

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Herbal medicines represent one of the most important fields of traditional medicine all over the world. Herbal medicines are being used by about 80% of the world population primarily in the developing countries for primary health care. Tinospora cordifolia is a popular medicinal plant which is used in several traditional medicines to cure various diseases such as jaundice, rheumatism, urinary disorder, skin diseases, diabetes, anemia, inflammation, allergic condition, anti-periodic, radio protective properties, etc. In the present study an attempt has been made to evaluate the phytochemical constituents (phenols, tannins, glycosides, steroids, alkaloids, flavonoids, terpenoids, amino acids, protein and carbohydrates) present in Tinospora cordifolia using standard methods. Separation of plant pigments and secondary metabolites was done using the quantitative methods such as TLC and HPTLC. Antioxidant, Anti diabetic, anti-inflammatory activity was checked using different solvents.

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Tinospora cordifolia, phytoconstituents, secondary metabolites, TLC, HPTLC, anti- diabetic, anti- inflammatory.

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Across the globe, mental health care is a vital component of healthcare. Millions of people worldwide are impacted by mental health conditions like schizophrenia, bipolar disorder, depression, anxiety, and many of these patients do not receive the proper care for many of the causes. By providing patients with individualized, effective and easily accessible care, artificial intelligence holds the potential to completely transform the mental health care industry. In addition to offering a platform for psychotherapy interventions, AI tools can accurately diagnose patients and recommend courses of treatment. This article examines the advantages, drawbacks, and potential future research areas of artificial intelligence in mental health treatment.

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Healthcare, mental health care, artificial intelligence(AI),machine learning(ML), mental wellness, challenges

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An electricity monitoring and power off system that allows users to check the electricity theft and bill payments monitoring. The project provides auto bill generation and bill monitoring and make power off using IOT. The main scope of this project is to create smart IOT based energy meter which is used track energy consumption via WIFI module. We can get data of the energy consumption on time requirement basis consumption basis. Some of the issues of the existing systems are Every time we cannot check the meter and figure out the energy consumption manually.In our project consumption of electricity can be monitored remotely. It could generate more accurate bills. We can also control the load (on/off) by sending a message also the bill will be generated after load is turned off.

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Direct Current, Power supply, Global System for Mobile communication ,Internet Of Things, Integrated Circuit ,Liquid Crystal Display, Etc.

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This study explores how Natural Language Processing (NLP) is transforming the healthcare industry, with a particular emphasis on clinical text mining. An ever-growing corpus of unstructured medical texts and the widespread use of electronic health records, also known as EHRs, have made it imperative to have automated techniques for extracting insightful data. The study examines the opportunities and difficulties brought about by healthcare text, taking into account the subtleties of medical terminology, privacy issues, and the moral ramifications of algorithmic decision-making. In showcasing the wider applications of NLP in healthcare, the study ends by imagining a day when complex language models will be essential in transforming the processing, interpretation, and use of medical data for the benefit of both patients and healthcare professionals.

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Natural Language Processing, Healthcare, EHR, Electronics Health Record

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Abstract- Women in the ancient world history were more powerful and equally potent as men especially in Indian history. The chaste woman at that time was not touched by anyone except her husband; they were holy women, the holiness in them itself is a power and they were born empowered. The creator God though is almighty but has not reserved any power against the will and decision made by a chaste woman only to give respect them and not to overtake the powers as given by the God to those chaste woman which explains that the God also gives respect to the chaste women. The first ever powerful and daring woman in the history is Goddess Sati the wife of God Shiba who fought against the injustice and disrespect given to her husband God Shiba due to non-invitation by her father Daksa Prajapati who arranged a Yagyan, the holy fire; so she couldn't tolerated this and protested against the injustice to her husband as given by his father but couldn't got any positive response towards invitation to her husband which was a serious affront to the couple Shiva-Sati, and instead of facing so many resistances she strongly decided and burnt herself to death by jumping into the holy Fire that was organised by his father, reveals that she is the first ever woman who fought against the injustice as she was truely empowered with her innate education which made her distinct and unique from others; her dedication to her husband is unmatched and she became the forerunner in chastity. There were so many chaste women in India who were illustrious women for their self education making them immortal in the history. The woman who will be more educated will be more powerful and will have develop more decision making capacity and strong like the Goddess Sati who is crowned the first empowered woman in the history. Women education's importance was deeply felt by Pandit Jawaharlal Neheru and he stated that, "If you educate a man you educate an individual, however, if you educate a woman you educate a whole family. Women empowered means mother India empowered". Empowered with all sectors is though necessary but first of all empowered with good health is most important because women must have to be healthy to save their money, time and prevent any physical disability, to live a long and healthy life, and to reduce premature death of the family and ultimately of the nation and world; then to be educated to that minimum level so that women can earn some money to live a better and healthy and disease free life, to lengthen the life which is one of the pillars of empowerig women. Empowering women Educationally, socially, economically, politically and legally is a strenuous work and not so easy to change the culture of disregard for women that extremely deep-rooted in the Indian society. From the very beginning of time the human race needed empowered women to build powerful, intelligent, healthy offsprings, but due to male dominance the process is very slow but still ongoing. Education has a key role in living a healthy, hygienic life with dignity and honour and decreased mortality in womens' society, Exploring Hidden potential in them we all irrespective of gender should give respect to the women.

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Chaste Woman, Empowered Woman, Education, Empowerment

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This exploration plans to research the connection between the ability to understand anyone on a profound level and Unknown dialect Nervousness among students of unknown dialects. An example size of 100 members was taken which comprised of Japanese students (N=50) and Spanish students (N=50) who had a place with the age gathering of 18-25 years. The comfort test was finished alongside willful reaction inspecting. Pearson's item second connection and autonomous example t-test were utilized for factual investigation of the gathered information involving Measurable Bundle for Sociologies (SPSS) to track down the outcomes. The factual examination of the information reasoned that there is a critical pessimistic connection is tween's Capacity to understand people on a deeper level and Unknown dialect Tension among unknown dialect students in India. In any case, no huge contrast was found between the unknown dialect nervousness levels of Spanish and Japanese students. Simultaneously, no huge relationship could be seen between the ability to understand individuals at their core and unknown dialect nervousness levels of Spanish students and Japanese students independently.

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Emotional Intelligence, Foreign Language Anxiety

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In the thriving realm of e-commerce and digital transactions, effective price negotiation stands as a cornerstone for both consumers and businesses. This project embarks on a journey to redefine price negotiation dynamics by harnessing the power of Natural Language Processing (NLP) models within chatbot frameworks. Our aim is to revolutionize user interactions and streamline negotiation processes through the innovative integration of NLP techniques. These models facilitate the analysis of user inputs, interpretation of negotiation contexts, and formulation of optimal bargaining tactics, thereby enhancing user experiences and fostering mutually beneficial outcomes. Through iterative refinement utilizing performance metrics and user feedback, we strive to elevate the efficacy and efficiency of price negotiation interactions, ultimately empowering users and businesses in their decision-making processes. This project exemplifies the transformative potential of NLP-based chatbots in reshaping price negotiation dynamics within digital marketplaces. By bridging the gap between human-like negotiation dynamics and automated conversational agents, we pave the way for enhanced user experiences, streamlined transactions, and empowered consumer decision-making in the competitive landscape of e-commerce.

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Natural Language Processing, Stochastic Gradient Descent (SGD), Price Negotiation, E-Commerce Negotiation, Chatbot.

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