Volume 12 | Issue 6

 Abstract

This report outlines the utilization of life-saving technology in the workplace and proposes a novel safety measure. An analysis of the research and a close comparison with standard procedures demonstrate that the recommended approach improves several performance aspects. The results show that the suggested approach improves training success rates, employee participation in safety programs, safety initiative ROI, equipment ease of use, training effectiveness, safety culture index, number of incidents, response time to emergencies, ergonomic risk reduction, and overall safety. Ablation research reveals how vital each aspect of the proposed technique is for overall success. We demonstrate how technological, human factors, training, and cultural variables may collaborate to make the workplace safer by carefully examining each part's outcomes. When considering everything, the offered strategy addresses all major industrial safety aspects. It provides firms with a full strategy to reduce workplace hazards, keep people safe, and promote safety excellence.

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 Keywords

Culture, Effectiveness, Engagement, Equipment, Hazard, Safety, Technology, Training, Workplace, Risk

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Backwardness in society stems from various factors, and the current research zeroes in on basic amenities to map out the spatial distribution of underdeveloped areas in Kollegal taluk, Chamarajanagar district, Karnataka. Infrastructure adequacy has long been recognized as crucial for economic growth by both scholars and policymakers, with its improvement significantly impacting income and overall development. Therefore, this study aims to assess basic amenities across educational, healthcare, economic, and communication sectors through 18 decision criteria. Geospatial techniques are employed to analyze the spatial extent of underdevelopment based on these parameters. The study identifies backward villages in need of infrastructure and centralized facilities that necessitate relocation within the study area.

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Spatial, Public amenities, Disparity, Backward, GIS

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This article offers a case study on the design and development of a mental health chatbot that uses TensorFlow for intent classification and NLTK for language analysis. The chatbot's goal is to give personalized help and guidance to those dealing with mental health concerns. The development process consists of data gathering, model training, integration, and deployment. Preliminary findings show excellent intent classification accuracy and favorable user feedback, indicating the potential for deep learning and natural language processing technology in mental health therapies.

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 Keywords

Mental Health, Chatbot, TensorFlow, NLTK, Deep Learning, Natural Language Processing

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Creative Commons Attribution 4.0 and The Open Definition

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Ergonomics issues in the auto sector include worker fatigue, injury risk, and poor production. Addressing these issues is necessary to protect workers' health and maintain operations. This study examines all automotive ergonomic approaches and proposes a very effective solution. We compare approaches and execute an ablation study of the recommended methodology to examine how they affect worker happiness, injury rates, production, and absenteeism. The suggested strategy improves worker happiness and production above normal methods, according to our findings. The ablation research shows us how the recommended method's elements function together, revealing the most critical aspects affecting its effectiveness. Our study advances automotive industry ergonomics, but further research is required to test the recommended method in industrial settings. This research reveals that the auto industry must prioritize ergonomic solutions to make workplaces safer, healthier, and more productive. Car sector stakeholders may promote development and establish a culture of well-being and success at work by utilizing innovative ways like the one presented.

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Ergonomics, Manufacturing, Productivity, Safety, Solutions, Technology, Worker Satisfaction, Workplace Well-being.

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This research provides a detailed strategy for reducing warehouse risks and identifying hazards to improve productivity and safety. Because it incorporates machine learning, expert knowledge, staff training, and effective preventative measures, the recommended strategy scores well on many assessment criteria. The findings show that machine learning is necessary to enhance risk monitoring and proactive risk management. Topic expertise improves the identification of dangers and the severity assessment of risks. Employee training and education promote a culture of accountability and safety understanding, helping workers identify and avoid dangers. Quick and efficient prevention reduces workplace dangers and accidents. Overall, the recommended strategy includes all the necessary steps to enhance warehouse operations, safety, and risk reduction. It may reduce corporate risks, reduce worker accidents, and enhance safety excellence in warehouses.

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 Keywords

Employee Engagement, Hazard Identification, Machine Learning, Risk Mitigation, Safety Culture, Safety Training, Warehouse Operations, Workplace Accidents

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Abstract: In the present study an attempt was made to formulate microencapsulated gel sunscreen also containing herbal extract like tomato. The use of sunscreen lotion has gradually increased over the years, as people have become more aware of the detrimental effects of UV radiation. The presented formulation contains microencapsulated physical filters such as titanium dioxide and zinc oxide as well as tomato extract protecting against UV rays. The formulation was evaluated based on pH, extrudablity, spreadability. The SPF of sunscreen was measured using a UV spectrophotometer.

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Microencapsulation, Sunscreen, SPF

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This paper through a critical review of extant literature and analysis of discourse examines the bowdlerized version of the popular colonial sport cricket, Indian Premier League (IPL) in global times. A game played for nationalistic pride has been transported to a re-invented locale that combines global market-driven consumerism, popular stardom and the enormous business potential of a popular sport called cricket. IPL allows for an intersecting of multiple discourses of the liberalized nation, the global media, transnational flow of consumerism , star power and capitalism. IPL privileges the globally circulated popular Bollywood Hindi film industry to engage in a commercial collaboration with the most popular sport of the nation. A branded sporting event of IPL is a new invented post-global avatar of a formerly colonial sport

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Cricket, global, star-power, spectacularized, media, nation.

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This article, "Entangled Threads: Dynamics of Marriage and Social Entanglement in A Doll's House," explores Henrik Ibsen's revolutionary play to uncover the intricate dynamics of marriage and societal norms in the late 19th century. The analysis focuses on the relationship between Nora and Torvald Helmer, highlighting the power imbalances and traditional gender roles that underpin their seemingly ideal marriage. As Nora evolves from a subservient wife to an assertive individual, Ibsen critiques the restrictive societal expectations placed on women and the sacrifices demanded within the institution of marriage. The article also considers the broader social implications of the play, emphasizing its enduring relevance to contemporary discussions on gender equality and personal autonomy. By examining the characters' interactions and the societal context, the article reveals how Ibsen's work challenges and deconstructs the conventions of his time. Ultimately, this study illuminates the complexities of marital and social entanglements, offering insights into the continuous struggle for individual freedom and equality.

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Power, Traditional, Relationship, Struggle, Individual

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An increasing number of businesses are starting their digital transformation journeys in order to forge stronger relationships with their consumers and ultimately achieve long-term success. Embracing DevOps ideas and practices may help technology businesses make the cloud journey easy, efficient, and successful. Many AWS services, notably those related to deployment and monitoring, are based on these concepts, which are intrinsic to the AWS platform. Implementing DevOps methods with AWS provides organisations with a robust platform for collaborative and efficient software development. DevOps is a methodology for enhancing software products via global automation of integration and delivery pipelines, tight cooperation across teams, and quick release cycles. Organisations may gain more efficiency, better cooperation, and more scalability by using AWS services for infrastructure automation, continuous integration, and deployment. Accelerated time-to-market, simplified procedures, and optimized resource utilization are achieved when DevOps concepts are combined with AWS's scalable and flexible infrastructure. Adopting DevOps with AWS has some advantages, such as quicker software delivery, better communication, and the capacity to react to changing needs, but there may be some problems during deployment. As a whole, DevOps with AWS allows businesses to stay ahead of the competition by rapidly delivering high-quality software.

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AWS, Lambda Function, CodePipeline, CodeBuild, Deployment, Strategy, DevOps

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The paper examines how green chemistry principles have revolutionized chemical synthesis, process design, and reaction chemistry, with a focus on efficiency, waste reduction, and eco-friendly practices. It introduces sustainable chemistry as a broader concept aiming for sustainable production beyond mere environmental considerations. The paper delves into the interplay between green and sustainable chemistry, underscoring the importance of processes that encompass economic, environmental, and ecological aspects. While green processes contribute, the paper stresses the necessity for chemical processes that ensure ongoing material and energy flows to achieve environmental, ecological, and economic sustainability. The pursuit of sustainable chemistry involves utilizing renewable feedstocks, efficient reactions, single solvent systems, real-time monitoring, and computational tools. It highlights practices like modular micro-reactors, nanomaterial-based separations, and substituting energy-intensive separation techniques. Moreover, the paper emphasizes the transformation of chemistry education and mindset towards sustainability. It advocates ethical, transparent, and environmentally conscious attitudes within the chemical community. Education should expand beyond labs, incorporating global perspectives and integrating green and sustainable chemistry into inventive business models and interdisciplinary strategies. The paper concludes by advocating a collaborative approach uniting research, policy, education, and practical implementation to forge a sustainable future for all.

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Green Chemistry, Sustainable Chemistry, Waste Reduction, Eco-Friendly Practices, Renewable Feedstocks

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The rapid digitalization of industries is reshaping consumer behaviour and business operations. In the food industry, digital platforms for ordering and delivery offer convenience. This paper presents a case study of the YumXpress Application, a desktop-based food ordering system developed by engineering students. Analysing its design, development, features, and user feedback, we explore its impact on the food industry ecosystem and implications for consumer behaviour and technological innovation. Our findings underscore the importance of user-centric design, technological integration, and sustainability. This research contributes to understanding digital transformation in the food industry, highlighting the potential of technology to enhance efficiency, convenience, and sustainability in food ordering systems.

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Digitalization, Food industry, YumXpress, Desktop application, Technological innovation, Sustainability

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Consumer behavior is very important for firm. It helps the firms to understand the purchasing behavior of the consumer. The objective of this paper is to find out the factors influencing the consumer for purchasing electronics goods. For this study purpose we have collected 62 respondents in Kolkata and used standard statistical techniques for the analysis.

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Consumer Behaviour, customer satisfaction, electronics industry, purchasing behavior

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Mr. Chandru, a non-financial investor, holds a portfolio of equity stocks for long-term investment, allocating a significant portion to Tata Motors due to its potential in the electric vehicle (EV) market. The stock market responded positively to Tata Motors' news that it will be demerging its passenger vehicle (PV) and commercial vehicle (CV) business. Even though Chandru is not very knowledgeable about finance, he still wants to know how the demerger will affect his investment. Important financial indicators show that the PV and CV segments are trending positively, with significant market shares and expected sales growth. Chandru uses technical analysis, using techniques such as candlestick charts to forecast a estimated target price for Tata Motors' shares. However, he remains uncertain about increasing, holding, or selling his existing Tata Motors stock, especially considering the entitlement ratio post-demerger. In search of expert guidance, Chandru approaches a financial advisor, who takes a fee depending on the market value of his Tata Motors investment. The analysis also considers the stock's intrinsic value, incorporating risk factors such as beta, risk-free rate, and equity risk premium.

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Tata Motors, Demerger, PV and CV, Intrinsic value, Risk Free Rate.

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Today sports are not just limited to recreational events but have grown into a billion-dollar industry. The industry laden with money depends on the promotions and marketing of sports and the performance of an athlete at times. The athlete either in this lure to shine bright or to make money often opts for the means which are prohibited in sports codes. One such illegal means used by athletes is doping. This article aims to highlight the menace of doping in the Indian sports industry and its impact on the integrity of sports as a whole. Technological advancement has brought new revolutions for detecting such foul play but also has enhanced the probability of failure in detection because of new drugs and asteroids which are hard to detect. Thus it becomes imperative to have an effective legal means to cater to the need for maintaining sports integrity. Henceforth this article is an effort to shed some light on the issues of doping in India.

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Doping, sports, drugs, athletes, law.

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The aim of this paper is to discuss weakly compatible mappings and to obtain the fixed point theorems for two pairs of weakly compatible mappings in b-metric space. The b-metric need not be a continuous function. Here in this paper, the b-metric under consideration is a continuous function.

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 Keywords

b-Metric space, Compatible mapping, Weakly compatible mappings, Fixed Point, coincidence point , Cauchy's Sequence.

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The project aims to create and evaluate an anticollision system tailored for heavy-duty vehicles like trucks, buses, and construction equipment. This project seeks to enhance safety, minimize accidents, and boost operational efficiency in the transport and logistics sectors. Key elements include improving safety, economic benefits, regulatory adherence, environmental advantages, technological progress, and reducing human error. The methodology integrates advanced technologies such as radar, lidar, ultrasonic sensors, and communication systems into a cohesive anticollision system. A microcontroller will handle data from these sensors to make real-time collision-prevention decisions. The project involves a literature review on existing systems, system design for sensor integration and control algorithms, and practical implementation with thorough testing. The system will issue warnings and initiate partial braking at 15 meters from an obstacle, intensify warnings and apply moderate braking at 11 meters, and activate full braking at 7 meters. The control system will process real-time data, evaluate collision risks, and implement avoidance strategies, incorporating adaptive learning capabilities and fail-safe mechanisms.

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Anticollision System, Heavy-Duty Vehicles, Vehicle Safety, Collision Avoidance, Radar Sensors, Lidar Sensors, Ultrasonic Sensors, Sensor Integration, Machine Learning, Data Fusion, Real-Time Processing, Automated Braking, V2V Communication, V2I Communication, Adaptive Learning, Control Algorithms, Safety Regulations

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To evaluate fear of crime among young girl and important to create safe environmnets and empower girl to feel confident and secure. The sample will consist of Woman aged 18-24 recruited for various college students neighborhoods in Chennai using purposive sample technique. Snowball Technique Interview and Question Method. This Research focus on Teenage Girls 18-24 Age Limit. The Purpose of Research is Teenage Girls Safety Preservation. Teenage Girls let know Awareness of Fear of Crime. Know the Complaint Methods. Learn the Martial Arts and Safety Preservations. Find out problem most in sexual assault in public places and college travelling Bus and Train. Self-defense techniques are the first and foremost thing must be aware in law and steps of complaint and Design training for their safety sexual harassment, Eve teasing, Chain snatching, Work Place and college, etc., are some big issue for the women in India. Several explanation have been elaborated which largely focus either on the irrationally high level of female fear of from a feminist perspective. Many countries have taken action in recent times to address harassment in the work place and violence in the home, but little attention has been paid to sexual harassment in public places. Specifically during Women's journey to work and school.

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Fear of Crime, Main Causes, Eve Teasing, Sexual Assault, Anxiety, Frustration, Pandemic Situation

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This article explores the transformative role of artificial intelligence (AI) in Indian politics, highlighting its integration into governance, electoral processes, and policy-making. AI technologies are revolutionizing the political landscape by enhancing administrative efficiency, enabling data-driven decision-making, and personalizing voter engagement. In electoral processes, AI aids in voter registration, fraud detection, and strategic campaign management through sentiment analysis and predictive analytics. Furthermore, AI-driven tools such as chatbots and virtual assistants are improving citizen engagement and public service delivery. However, the rapid adoption of AI in politics raises significant ethical and regulatory challenges, including data privacy concerns, algorithmic bias, and the potential for political manipulation. Addressing these issues requires robust data protection laws, algorithmic transparency, and ethical guidelines. The article proposes policy recommendations to ensure the ethical use of AI in Indian politics, emphasizing the need for comprehensive data protection, fair AI algorithms, accountability mechanisms, and public awareness initiatives. Looking ahead, the future of AI in Indian politics promises advanced predictive analytics, enhanced electoral integrity through blockchain integration, and AI's pivotal role in crisis management. Ensuring ethical AI usage will necessitate continuous collaboration between policymakers, technologists, and civil society to safeguard democratic values and citizen rights while leveraging AI's potential to enhance governance and public services.

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Artificial Intelligence (AI), Indian Politics, Governance, Electoral Processes, Policy-making, Ethical Challenges, Regulatory Frameworks

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This study is based on the experiences in the legal and psychological counselling field. The experiences of the researcher in the counselling field has motivated for finding a solution to the increasing cases of divorces in India. The causes are many and varied. The solution for each case may be unique and it is difficult to find a common solution to the social evil especially influenced by western culture and the social media. In this study we have made an attempt to suggest few remedial and preventive measures in combating the menace of increasing burden of cases in the coming decades. The researchers have foreseen the issue is going to be grim and seriously affect the family system and would be main cause for many types of offences and it will be difficult to manage if it is continued like this. The psychologists suggest that the change is inevitable in all fields including the family culture in India but keeping tradition is also most important as it has been proved to be one of the best in all countries.

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Divorce rate, Social evil, Culture Change, Psychological counselling.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The world was changed--in other words, a new one was created--by the COVID-19 pandemic. According to some accounts, the greatest human tragedy of the past century affected every aspect of human existence. Despite the fact that the globe is getting ready for another post-pandemic historic calamity. People won't fully understand the serious ramifications of a catastrophic nightmare for years, even while the globe is getting ready for a new post-pandemic normal.The pandemic provided a much-needed house shaking in many facets of our social and personal lives, despite the lasting and irreversible harm it caused. The education sector was one of the most severely hit initially, although it is anticipated that it would recover with time. What the epidemic taught us about professional development and instruction for second language teachers is outlined in this chapter. The volume's contributors, who were among the first to focus on the problem of language teaching during the epidemic, also take this into consideration.

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Keywords: - SARS (severe acute respiratory syndrome),SARS-CoV (severe acute respiratory syndrome coronavirus), nCoV (Star Novel Coronavirus), MERS (Middle east respiratory syndrome) WHO (World Health Organisation),RT-PCR(Reverse-transcriptase polymerase chain reaction), PCR(Polymerase Chain Reaction), R0 (Reproduction Number), Rt (The effective reproduction number)

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