Volume 12 | Issue 3 |

 Abstract

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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 Keywords

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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 Keywords

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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 Keywords

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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 Keywords

Data Science Cloud, data, storage and compression.

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