Volume 12 | Issue 3

 Abstract

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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Abstract: Aim: This study is aim to assess the Prevalence, Risk factors, Medication Adherence, Drug Utilization Studies in MYOCARDIAL INFRACTION. Objectives: The key objectives of the study include: ? To evaluate the Risk Factors in Coronary Artery Disease Patients. ? To access the Medication Adherence in Coronary Artery Disease Patients. ? To determine the Drug Utilization patterns of Cardio Vascular Drugs. Methodology: Our study is prospective, observational conducted in cardiology department of govt. general hospital attached to Kurnool medical college. The sample was collects based on inclusion and exclusion criteria in the patient data collection proforma. Conclusion: The prevalence of myocardial infraction is very high and, on the rise. Prevalence of Myocardial infraction is higher in men, whereas the mean age of women at the time of incidence is higher. The majority of risk of myocardial infraction can be explained by Alcohol use, Smoking, Hypertension and Diabetes mellitus. Medication adherence in our study was seen to be reducing over 3 months due to factors such as low monthly income and low educational status of the subjects. Our study showed that initiation of treatment in both the genders and various age groups. The difference in the use of drugs on hospital admission might be due to the varied clinical presentation. Our study leads us to the conclusion that the proportion of prescription medications with generic names needs to increase

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Index Terms - Mi - Myocardial Infractiom Sa - Sino Atrial Av - Atrio Ventricular Cad - Caronary Artery Disease Hf - Heart Failure Vdh - Valcular Heart Disease.

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Data Science tools such as MATLAB, Big ML are used to handling the uncertainty and noise in compressed cloud data storage at different accessing terminals in web applications. The Cloud computing significantly plays a role in the aspect of effective resource utilization and service consumption. Irrespective of the type of clouds (ex. Private, public, hybrid or inter-cloud), every service providers concentrates on the data residing in cloud servers. Each and every moment, the researchers and scholars are proposing multiplicity of security algorithms to secure cloud data during the transactions. Most of the cloud data secure algorithms are focusing on the way to secure to cloud data in a single direction by using cryptographic algorithms. In this research paper focuses on a new direction to combine the features of data compression with the cloud data in order handling the way of uncertainty as well as removing noise in compressed cloud data storage.

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Data Science Cloud, data, storage and compression.

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The use of certain drugs during the pregnancy might pose a risk to the developing foetus, raising concerns about the potential adverse effects on the foetal development and maternal health. This abstract will provide an overview of the intolerant drugs during pregnancy, focusing on their pharmacological activities, mechanism of crossing the placental barrier, and associated risks. Drugs that cross the placenta can impact foetal development by affecting the organs and systems, which leads to the congenital abnormalities and many other complications. The main factors that might influence the passage of the drug to the foetus might be the size, molecular weight, ionisation, or its binding strength. Some common examples of the ''Intolerant Drugs'' are: Thalidomide, ACE Inhibitors, Warfarin, Tetracyclines, Retinoids, and Ribavirin. All of these drugs have been evident to show some severe birth defects like limb abnormalities, kidney functioning issues, heart defects, or sometimes it can be fatal. It's important to note that the assessment of drug safety during pregnancy is complex, and varies under different circumstances. Healthcare workers play a crucial role in the evaluation of the risks and benefits of medication use in each case, considering factors such as the specific drug, the trimester of pregnancy, the health status of the pregnant individual, and alternative treatment options. Henceforth, this Abstract emphasises on the importance of medical guidance and reducing the risks associated with drug exposure during the pregnancy.

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Intolerant drugs, foetal development, placental barrier, abnormalities, drug exposure, drug safety, medical guidance.

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This research investigates the early detection of faults in bearings at the inner and outer race using condition monitoring techniques. Bearings play a critical role in various mechanical systems, and early fault detection is essential for preventing catastrophic failures and minimizing downtime. The study aims to evaluate the effectiveness of condition monitoring methods in identifying faults in both inner and outer races of bearings. A comprehensive literature review is conducted to provide context and identify gaps in existing research. The methodology involves selecting appropriate bearing types and fault scenarios, designing an experimental setup, and employing various conditions monitoring techniques for data acquisition and processing. Data analysis is performed to identify fault signatures and assess the accuracy of fault detection. Results indicate the efficacy of condition monitoring techniques in detecting faults at both inner and outer races, with insights into factors influencing early fault detection. The findings contribute to enhancing bearing maintenance practices and provide valuable guidance for future research in the field of condition monitoring.

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Bearings, Condition monitoring

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INTRODUCTION: Diffuse Axonal Injury(DAI) is a severe form of Traumatic Brain Injury(TBI) characterized by widespread damage to axons. While conventional treatments aim to manage acute symptoms, there is limited focus on addressing residual neurological deficits in the long term. In Ayurveda, TBI corresponds to Shiro-marma Abhigata and one among the Nidana of Vata Vyadhi. MATERIALS AND METHOD: This case study was conducted on a 28-year-old female patient who met with a road traffic accident resulting in DAI and severe head injury four years earlier. Since the neurological deficits persisted, the patient underwent a 27-day Ayurvedic treatment which included internal medications and Panchakarma procedures. RESULTS: The functional Independence Measurement(FIM) tool was used for the assessment. The patient improved her cognitive function, motor skills, and emotional well-being throughout the treatment. The FMI score recorded at the baseline and the end of the treatment showed a remarkable difference of 23 units thus improving the patient's QOL. DISCUSSION AND CONCLUSION: Therapeutic procedures such as Mrudhni taila, Madhutailika Basti, and internal medications effectively manage such disabilities. This study highlights the potential of Ayurvedic medicine as an effective and safe integrative approach for palliative management of the residual symptoms due to DAI such as tremors, memory loss, imbalance, and weakness. Thus, personalized and holistic methods of Ayurveda offer a promising avenue for improving the quality of life in individuals with neurological impairments.

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Shiroabhighata, Palliative care, Post Traumatic Care, Rehabilitation in Ayurveda, Case Report

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Twentieth century age witnessed disintegration in ethical, philosophical and religious values in the life of the West. The problems of alienation, fragmentation and anxiety infused the sense of lack of direction and disbelief in the existing values which were aggravated by the deadly World War. T. S. Eliot (1888-1965) as a creator of modern sensibility employs his intellectual bent of mind to give objective expression to the chaos and loss of identity in modern life. He is the watershed of modern literary movement especially in poetry. He employs fragmentation in his poetry to demonstrate the disintegration of the modern European society. He is not pessimistic in showing this, rather he puts across a road map to wriggle out of the painful psychological condition. The present paper traces the process that begins with psychological fragmentation of modern Europe which ends in hope of spiritual renewal and reintegration.

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Fragmentation, alienation, anxiety, disbelief, reintegration, modern sensibility

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Dysfunctional uterine bleeding it includes menorrhagia, metrorrhagia, polymenorrhea, fibroids,The research approach adopted for this study is quantitative approach. The research design adopted for the study was descriptive design . The sample consist of 100 women aged 30-45 years selected at maternity hospital , Tirupathi . The knowledge was assessed by using self structured questionnaire . Booklet was given to the study participants on the same day. The result shows that 50% had inadequate knowledge and 35% had moderate knowledge and 15% had adequate knowledge. The calculated Standard deviation 14.50 mean value(47.31).The result clearly showed that women had lack of knowledge regarding dysfunctional uterine bleeding.

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Assess ,knowledge, Dysfunctional uterine bleeding, women

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Excellent and broad bio-spectrum of amide derivatives has generated an attractive platform for synthetic chemists to introduce structural modification in its nucleus by conventional access to new approaches. A new sequences of various amide derivatives have been design and synthesized. The methodology is proficient and simple to perform, giving the desired amides with excellent yield. An innovative series of four derivatives of amide were synthesized by the condensation of different compound like acetanilide, aniline, sulphanilamide and urea with benzoyl chloride in presence of sodium hydroxide as a catalyst. The reactions steps and the purity of the products were crisscross by using Thin Layer Chromatography (TLC). The chemical structure of final compounds were characterized and inveterate by measuring their melting points, elemental analysis, IR and 1H-NMR. The in-vitro antibacterial activity is done by using disc diffusion methods. The compounds were confirmed at different concentration from 0.02-0.10mg/ml in order to plaid the percentage inhibition of compounds. From the result compounds A1 and A2 presented highly significant activity against gram positive bacteria in comparison to standard sulphanilamide. A preliminary study of antimicrobial activity was performed in which antibacterial activity was done in two strains of bacterial activity was done. The results showed that compounds A1 and A2 have significant antibacterial activity compared with standard drugs and the other tested compounds have moderate to good activity.

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amide, antibacterial activity, antimicrobial activity

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