Volume 12 | Issue 3

 Abstract

In the realm of emergency response, the convergence of Internet of Things (IoT) technology and robotics has ushered in a new era of proactive and efficient firefighting systems. This abstract introduces an innovative approach to firefighting by leveraging IoT connectivity to orchestrate intelligent and autonomous robotic systems. The proposed framework comprises a network of strategically deployed sensors designed to promptly detect fire outbreaks, assess environmental conditions, and relay real-time data to a centralized control unit. Through seamless communication protocols, the system ensures instant connectivity and data transmission between the firefighting robot, the centralized control, and the IoT cloud. Equipped with sophisticated actuators and AI-driven decision-making capabilities, the firefighting robot interprets incoming data to make swift and informed decisions. It autonomously navigates hazardous environments, using actuators to precisely apply extinguishing agents, thus mitigating fire spread and minimizing damage. The integration of IoT facilitates remote monitoring and operation, allowing firefighting experts to oversee operations and intervene when necessary, even from distant locations. This scalable and adaptable system can seamlessly integrate with existing infrastructure, paving the way for a unified and responsive emergency management system. This paper delves into the architecture, functionalities, and potential applications of this IoT-driven firefighting robotic system, emphasizing its ability to enhance early fire detection, optimize response times, and reduce risks to human responders in complex and dynamic fire scenarios.

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Firefighting Robot; Flame Sensor; MQ2 Sensor; L293D Motor Driver; Sim 800L; Bo Motors; LM2596BuckConverter.

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This paper examines the intricate relationship between CSR Communication and Corporate Social Responsibility (CSR), underpinned by the hypothesis of a significant association between the two. It delves into the risks organizations face when communicating their CSR efforts, as they may be perceived as engaging in mere marketing tactics, leading to stakeholder scepticism and loss of trust. The discrepancy between company actions and stakeholder interests underscores the importance of understanding and meeting societal expectations for fostering trustworthy relationships. By addressing this research gap, the chapter employs a multi-method approach to analyze companies' communication strategies and stakeholders' expectations. It navigates through the evolving global landscape marked by globalization's impacts on markets, regulations, and societal structures, emphasizing the growing emphasis on CSR and its integration into business strategies. Through critical examination and empirical evidence, this chapter contributes to understanding the complexities of CSR communication and its implications for corporate engagement and societal trust.

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CSR, Corporate Engagement, Stakeholder Expectation, Companies CSR

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The emergence of phytosomes as nanoparticles and nanocarriers represents a significant advancement in drug delivery and natural compound utilization. Phytosomes, specialized formulations involving the complexation of plant compounds with phospholipids, have garnered attention for their ability to enhance the bioavailability, stability, and targeted delivery of active ingredients. This review explores the evolution of phytosomes, elucidating their preparation methods and mechanisms of action as nanocarriers. The unique amphiphilic nature of phospholipids allows them to encapsulate hydrophobic plant compounds, forming lipid bilayers reminiscent of cell membranes. This encapsulation improves solubility and protects compounds from degradation. The resultant nanoparticles offer advantages such as improved absorption, reduced irritation, and versatile formulation possibilities. Through a comprehensive analysis of existing research, this review highlights the promise of phytosomes in pharmaceuticals, cosmetics, and nutraceuticals. The synthesis of knowledge underscores the potential of phytosomes as a bridge between traditional herbal remedies and modern nanotechnology, paving the way for enhanced therapeutic applications and innovation in natural product utilization.

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Phytosomes, Nanoparticles, Nanocarriers, Novel drug delivery system

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 Abstract

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??????:- ????????? 1912 ????? ??? ?????? ????? ????? ?? ??????? ??? ?? ????? ??????????? ?? ??? ???? ???????? 1936 ????? ??? ?????? ?? ?? 15 ???? 2000 ????? ??? ?????? ?? ??? ???? ??????? ????? ?? ???????? ????? ???? ???? ?? ?????????? ?????? ?? ??????? ??? ????? ?? ??????? ??? ???????? ?????? ?? ?????????? ?????? ??? ????? ?? ?????????? ?????? ??? ??? ????? ????, ???? ?? ?????? ???????? ??? ???, ???????? ??????, ?????? ??????? ???????- ????? ?????? ?? ?????? ???? ??? ??????? ??????? ??? ??????? ??? ?? ????? ??????? ?? ???????? ?????? ??? ????????? ?????? ?? ?????? ??????? ???? ?? ?????????? ?????? ?? ????? ???? ?? ???????? ?????? ?? ????? ?????????? ????? ???? ?? ?? ??? ?????? ?????????? ???? ???? ?????? ???, ??????? ??????, ??????? ?????, ????? ??????, ??????, ??? ????? ??????, ????? ?????????, ???????? ??????, ???? ??????, ??? ????? ????? ?? ?????? ?????? ????? ?? ??????? ??? ???????? ??????? ??? ?????????? ?????? ???

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????????, ??????, ???????, ??????????, ??????? , ????????, ??????????

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Fifth generation (5G) is the current trend followed among the world's leading telecommunication companies. The compact designs of antennas made it possible for them to resonate at higher frequencies, thus to enable the devices to attain higher data rate as compared to 4G technology. This project deals with the design of a novel low cost, high gain antenna. The antenna has an array structure which is suitable for 5G cellular applications. It is designed on a low cost Flame resistant (FR4) substrate material. 5G antenna uses bandwidth over 27.5 GHz to 28.5 GHz. This antenna using 6x5 patch array elements on top of the substrate. Use of array elements enhances the gain of the antenna and the same is essential for 5G. Here transmission line feed is used and the power is divided across all the elements equally. The simulation is carried out using HFSS simulation tool. The final design is fabricated and tested using network analyzer for the return loss measurement.

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Patch antenna, Micro strip antenna, VSWR, Gain, Return loss, HFSS

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India is one among the world's biggest markets, not only in urban arena but even the rural economy is emerging rapidly. Nearly 46% of India's national income is constituted by rural economy. Hence, the government of India is hugely supporting the rural development by encouraging youth and women to start their own businesses and become entrepreneurs instead of searching for a job in others establishments. For the same, government is determined to uplift the Rural India, by identifying untapped potentials and providing awareness of different schemes and offering other supporting initiatives including capacity building and financial assistance. The present paper highlights the Start-up and entrepreneurial initiatives in India, their crucial role in augmenting rural economy leading to rural development. This paper even provides the information about the progress of start-up initiatives taken for rural development in India.

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Rural Economy, Untapped Potentials, Entrepreneurship, Start-ups, Government Initiatives.

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Every Student goes through multiple phases like peer pressure, parents pressure, etc. However, many students are dropping out of their next level of education due to various reasons. A proposed method utilizes machine learning concepts such as Decision Tree, Random Forest, Support Vector Machine, and AdaBoost. to predict students future career paths. The system, implemented using Python, assists students in choosing a course based on their personality traits, interests, and capacity to take the course. The study found that students are confused about their career options, potentially leading to wrong career selections and reduced human resource productivity. The system aims to help students make informed decisions about their future career paths.

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Student Career Prediction, Machine Learning, Random Forest.

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This paper focuses on using the Python Programming Language for Predicting the Emotional Wellbeing in the college students of Tamil Nadu. It characterizes the various prevalent symptoms with respect to depression found in the degree pursuers. Further, it discusses various Python packages and libraries, including NumPy, Pandas, and Matplotlib, that are commonly used in prediction methodologies. The paper highlights the potential of Python for Analysis of depression symptoms and most frequented symptom in the students who have risk of depression

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Depression, Mental Health, Emotional Well-being, anxiety, College students.

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This paper proposes a novel approach to modernize agricultural practices by introducing a solar-powered seed sowing robot controlled via a dedicated application. The robot integrates Arduino-based hardware for precise seed placement and efficient resource utilization. Leveraging solar energy ensures sustainability and autonomy in remote agricultural areas. The accompanying mobile application offers user-friendly control, enabling farmers to customize seeding patterns and monitor progress remotely. This innovative system promises increased efficiency, minimize labor requirements reduced labor, and optimized crop yield, contributing to technology-driven agriculture for the future.

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Renewable Energy, Autonomy, solar power

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The ability to conduct financial transactions with a single touch or click rather than waiting in line at a bank simplifies the customer's life which is exactly what they are seeking for. While digitization improves internal operations, it only marginally improves the client offering with value-added services like wallet solutions and tools for managing personal finances. One of the key functions of digital transformation strategies is to educate company ventures on new methods of product promotion and sales, which will ultimately improve how well they satisfy the demands and expectations of their clients. This article aims to examine impact of digital transformation of banking on rural customers in the state of Odisha.

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Digitalization, ICT, Rural Area, Bank Transformation and Banking Sector

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After the withdrawal of Non-Co-operation Movement in February 1922 there was a lull in the political activities in India. The Lahore Session of the Indian National Congress in 1929 is an important landmark in the History of the Indian Freedom Movement. Jawaharlal Nehru, representative of younger elements in the congress was elected as the President. Congress declared attainment of Purna Swaraj (complete Independence) to India as its objective. To achieve this goal it also decided to start Civil Disobedience Movement and if necessary no-tax campaign against the British Government. It was at this session the congress has adopted to observe 26th January 1930 as the day of Indian Independence.

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Women. Civil, Disobedience, Movement, Rayalaseema.

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This study aims to identify the impact of critical thinking on study skills of secondary school students through Ex-post facto method. The population of the research includes class IX students of Noida city. Mean, standard deviation, variance and t-test are the statistical techniques which helped in the analysis and interpretation of the result. It has been found that girls studying at secondary level have better mean scores on their reading text skills, preparing for test skills and time management skills as compared to boys. It can be said that secondary school students showing good critical thinking and poor critical thinking are different in terms of their reading text skills and students with good critical thinking have higher reading text skills as compared to students with poor critical thinking. It can also be concluded that boys and girls studying at secondary level are not different in terms of their critical thinking.

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Critical thinking, study skill, secondary school.

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Social Media Platforms have revolutionized in professional networking towards user engagement, information exchange and career advancement in today world. LinkedIn is considered as prominent platform which enables its user to network with others to enhance their technical skills for their career advancement. Especially, LinkedIn facilities were managed on short terms planning activities in operation level and decision making process in strategic level to deals with network information flow to mitigate the spam and privacy leakage. However strategic level management of LinkedIn fails to provide effective recommendation and suggestion solution related to carrier advancement of the user which leads to reduced user engagement and operations sustainability. In order to enhance the user engagement, secure information exchange and effective recommendation solutions to the carrier enhancement, an adoption of new multiobjective big data analytics framework as informed decision making solutions towards attaining sustainability of LinkedIn operation through its operations and sourcing information is investigated. Data analysis using data intelligence application like artificial intelligence from various data of the LinkedIn User in the manufacturing companies will provides results to elaborate the empirical illustrations about sustainable LinkedIn Operation and solutions towards user engagement, networking and career advancement in the project management context. Data is obtained on basis of questionnaire from users in project management department in various manufacturing industries in southern part of India. Proposed Analysis was evaluated using ANOVA and Percentage Analysis in the SPSS Statistical Analysis Tool. Finally findings of the analysis manifested the solutions to enhance the sustainability of the LinkedIn platform through effective recommendation and suggestion operations to carrier advancement of its LinkedIn user in technical perspectives. Furthermore suggestion has been provided to enhance the platform network configuration with high personalization towards timely management of user information to proper coordination towards demand fulfillment and optimal pricing model on content subscription charges towards increasing the engagement of the user for long time.

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LinkedIn , Social Network Platform, User engagement , Carrier Advancement, Professional Networking , Artificial Intelligence, Data Analytics, ANOVA, Percentage Analysis , SPSS

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ABSTRACT Breast carcinoma remains a significant worldwide health burden that has prompted ongoing advances in its early detection and treatment. This review evaluates recent developments in managing breast cancer with focus on novel approaches to early diagnosis and emerging therapeutic options. The paper is based on 20 sources and examines the most recent advances that may potentially improve the situation with breast cancer today. However, despite significant milestones made towards preventing and treating cancer over the last years, this disease remains a pervasive menace necessitating more improvements in diagnosing it early enough for effective cure or control before it's too late for the patient's survival chances to be saved. The study carefully scrutinizes new approaches being done by various experts that appear promising for bettering patient prognosis than ever imagined before. With integration of multiple studies from experimental clinical trials to logical reasoning, a comprehensive understanding of current trends is sought to be created here. Key areas of focus include innovative methods for early detection such as digital mammography (DM) or molecular imaging (MI), besides new therapeutic alternatives like targeted therapies against growth factor receptors or immunotherapy strategies.

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Keywords: Breast cancer, early detection, treatment modalities, advancements, innovative approaches, prognosis, digital breast tomosynthesis, molecular breast imaging, targeted therapies, immunotherapies, HER2-positive breast cancer, triple-negative breast cancer, clinical trials, epidemiological studies, breakthroughs, outcomes, global health challenge

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The proposed health care system, which employs Kinect as well as data mining technologies with a view of conveniently predicting BMI using facial images. The integration of face detection and feature extraction by means of Haar cascade is aimed at collecting the necessary information about the face. In this regard, the framework uses machine learning algorithms for data mining such as data preprocessing, extraction, evaluation and presentation to assist in training models that are used for predicting obesity levels (classification), body weight and fat percentage levels (regression) based on different parameters. For instance, it acts as a platform for investigating body weights more comprehensively thus helping paralyzed or critically ill patients who cannot be subjected to normal means of emergency medical services measurements.

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Body mass index (BMI), Facial features, BMI prediction, Machine vision large database, cardiovascular risk, BMI, young adults.

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This research project, titled "A Study on Factors Influencing Employee Engagement of Marketing Professionals in the Pharmaceutical Industry with Specific Reference to Vadodara City," aims to shed light on the complex facets of employee engagement in this industry. For this research, Vadodara City, a booming centre for pharmaceutical businesses in India, offers a distinctive and dynamic backdrop that enables us to analyse the difficulties and potential within a particular regional context. Employee engagement is a real-time phenomenon of every organization, and it is associated with performance of the employees in any place. The objective of this study is to measure the work engagement of Pharmaceutical Marketing Professionals of Vadodara Region, to ascertain the work environment factors affecting work engagement of selected respondents of Vadodara Region, to analyze the problems of Pharmaceutical Marketing professionals faced by selected respondents of Vadodara Region. The methodology selected is Descriptive research design, the sources of the data are in the form of primary data which can be a questionnaire and secondary data in the form of websites, published research papers etc. The data is going to be collected with the help of questionnaire and secondary data analysis, the targeted population are the marketing professionals of pharmaceutical industry. In this survey the simple random sampling method is used, the sampling frame is the marketing professionals of pharmaceutical industry in Vadodara city only. For analysis of data chi square tests has been taken and it is found that alternative hypothesis is accepted which concludes that there is a relationship between personal factors and work environment of pharmaceutical marketing professionals.

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Employee engagement, marketing professionals, pharmaceutical industry, , work environment, employees performance

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Murraya koenigii is a multipurpose plant, the plant is a native of India. It is found in tropical and sub-tropical region in the world. All parts of plants is useful for treat and cure various diseases and useful for preparation of various pharmaceutical formulation and cosmetic preparation. The leaves of plant are use as tonic, stomachic, carminative, internally in dysentery, vomiting. Used as anti- helminthic, analgesic, cures piles, allays heat of the body thirst, inflammation and itching. The plants contains many major phytochemical compounds, vitamins and nutrients, it also rich source of nutrients and also it contains many pharmacological activity like anti-inflammatory, anti-pyretic, hypoglycemic, anti-ulcer wound anti-healing , anti-microbial, anti-fungal and memory enhancing etc...

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Pharmacological activity; anti- oxidant activity.

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This study explores the variables impacting user satisfaction with electric vehicles with the goal of providing insight into the preferences and viewpoints of drivers. The main factors influencing satisfaction levels in the context of electric mobility are clarified by this research through a thorough survey and analysis of EV owners' experiences, preferences, and difficulties. Additionally, the study investigates how public awareness campaigns, policy support, and government incentives could encourage the uptake and enjoyment of electric vehicles. A better understanding of the interaction between personal preferences and outside factors might help develop policies that support an environment that is more favorable to electric mobility. The study's conclusions add to the current conversation about environmentally friendly transportation and provide insightful information to researchers, industry stakeholders, and legislators who want to increase the uptake and happiness of electric vehicles. Ultimately, by addressing the needs and preferences of electric vehicle users, we can accelerate the transition towards a more sustainable and environmentally-friendly transportation paradigm.

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Electric vehicle (EV), User satisfaction, Environmental benefits, Government incentives.

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