Volume 11 | Issue 10

 Abstract

This paper presents the study of boundary layer flow due to an exponentially stretching surface in the presence of an applied magnetic field. Analysis is carried out in the presence of thermal radiation, radiation absorption, transverse magnetic field and Chemical reaction. The governing partial differential equations are firstly converted into nonlinear ordinary differential equations by using appropriate transformations and then solved numerically by using 4th order Runge Kutta method along with shooting technique. The effect of Magnetic field, Porous parameter, Radiation parameter, Heat generation parameter, Chemical reaction parameter, Prandtl number, Suction parameter and Eckert number on the flow variables is analyzed.

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Thermal radiation, Radiation Absorption, Transverse Magnetic Field, and Chemical Reaction

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In the modern era of materialism, the people have got more focus on painless procedures. People prefer more efficient modes of child birth practices. People are doing the procedures of LSCS more for escaping the pain of labour. Figure conscious people often love to say no to birth, if conceived they often go for LSCS. People due to low physical activity often have high chances to go through the surgery procedure. The lack of exercise and stress relieving techniques lead to weak muscle tone hence low healing causing PPH in women. Besides poor surgical hand is also a cause. The lack of facilities in primary health centres also lead to this condition in women. Lack of comprehensive knowledge in the ASHA etc also is one cause. It is the common cause of death among pregnant women. This is the main cause of suffrage for child and family is death is PPH. PPH leads to the downfall of family along with the social disruption in the child health and growth hence bad development hence suffrage of society.

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A historical case study on the post-partum haemorrhage PPH among delivered women by LSCS and NVD of MCH hospital in GMC Anantnag.

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This report details the work done to build a predictive model using Machine Learning techniques to detect whether a person is prone to a heart disease in the next 10 years based on his lifestyle pattern. Heart disease is a major health problem worldwide and is one of the leading causes of death in many countries. Early detection and prevention of heart disease can significantly reduce the risk of mortality and morbidity. In this project, we have developed a predictive machine learning model for heart disease prediction using the various features of patients and detecting whether a patient is prone to heart disease in the near future using Machine Learning techniques. The early prognosis of cardiovascular disease can aid in making decisions on lifestyle changes in high risk patients and in turn reduce the complications, which can be a great milestone in the field of medicine.

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Machine Learning, Logistic regression, Heart Disease Prediction, Cardiovascular Diseases.

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Agriculture is an important component of the Indian economy. Agriculture directly employs over two-thirds of the country's population. As a result, any improvement in agriculture is closely related to income, wealth, happiness and well being of the people of this country. It is the most important and largest sector of the Indian economy. Indian agriculture continues to face serious challenges as the country's population grows. The cultivation of high yielding crop types that respond to fertilizers and irrigation, as well as intensive cropping practices, face the challenge of weeds, insects, and pests, resulting in massive crop and output losses. Every technology or interference in the natural ecosystem has a side effect; over the past half-century, we have used pesticides and herbicides indiscriminately to increase crop productivity, but their adverse consequences are now visible to us. Now we have achieved self-sufficiency in the production of food grains, but our next challenge is to provide people with healthy food. We are looking for a natural, chemical-free farming alternative, such as organic farming. It also helps to gain a higher price by domestic market as well as exporting chemical-free agricultural products to developed nations. Demand for healthy and chemical and pesticide free food is rising all across the world. People are increasingly willing to pay more if they know they are getting food that has been raised naturally. As a result, enhancing the certification process in the country is essential.

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Organic Farming, Sustainable Agriculture, Ecosystem, Soil Management

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Aqueous solubility of API's has critical role in drug dissolution or availability of drug at the site of action or bioavailability, when a dosage form is administered orally. The fact that about 90 % of newly discovered API's or new molecular entity(NME) have little or no water solubility, presents a serious challenge to t he successful development & commercialization of new drugs in the pharmaceutical industry. Numerous techniques are available for the solubility enhancement but all individual techniques have its own limitations for commercialization. Micronization technique can reduce the particle size of material, which reduces particles down to the micrometer or nanometer size and increases the dissolution rate of drugs through increasing particle surface area, accelerating dissolution rates and ultimately improves the bioavailability of poorly soluble APIs. Micronization of poorly water-soluble drugs can be performed by Air Jet Mill or Ball Mill.

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Solubility Enhancement, Micronization, Air Jet Mill

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Introduction of GST would result in abolition of multiple taxes on goods and services; it reduces compliance cost, litigation, corruption, inflation and removes the cascading effect of tax. It helps to improve the production in the country and increases the GDP level. The topic is selected to analyze the pros and cons of introduction of GST in Indian scenario and to test the awareness level and the perception of various stakeholders towards GST. On this line the analysis of various provisions and benefits of GST is analyzed in detail. In highly competitive world, to analyze the mechanism, awareness level and need for introduction of goods and service tax is highly necessary. The GST act is to replace all other indirect taxes. Hence the study states the need for the GST act and also states the awareness level and perception of stakeholders (Bangalore). The Goods and Services Tax (GST) is a vast concept that simplifies the giant tax structure by supporting and enhancing the economic growth of a country. Integration of various taxes into a GST system will bring about an effective cross-utilization of credits. The current system taxes production, whereas the GST will aim to tax consumption.

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Investing Investor, Cascading effect, Economic growth, Tax consumption.

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In Ayurveda treatment is chiefly divided into two shaman and shodhan chikitsa, here Shodhan chikitsa means Panchkarma procedures.In shaman chikitsa we control and manage dosha in body itself which includes Deepan, Pachan etc. and in Shodhan chikitsa is mainly for cleansing the body toxins i.e. cleansing the prakopit doshas which mainlyincluded Panchkarma therapy. Ayurveda considered that the purification of body is important before the starting any other therapy. If we think about panchkarma procedure in pediatric practice it is equally effective as they are in adult patient. In present situation Panchkarma therapy looks difficult in pediatric practice because lack of knowledge about doses, their mode of action andcomplication.ACHARYA KASHYAP explained all the panchkarma procedure in detail. This pioneer approaches gives utility of specific therapeutic panchkarma procedure and their mode of action in pediatrics patient to strengthening immune system, restoring balance and well being.

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shaman, shodhan, deepan, pachan, Panchkarma

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Impact of smart phone is a rapidly growing worldwide problem. The problem of Impact of smart phone of poses a significant threat to the impact of physical wellbeing. Almost every countryin the world is affected from the impact of smart phone. Impact of smart phone use leads to problem like physical wellbeing. A study is conducted, "A study to assess the impact of smartphones on physical, wellbeing among adolescents in selected school at Bhilai". The objective of the study wastoassess the impact of smartphone on physical wellbeing among adolescents, to find out association between the impact of smartphones with selected socio- demographic variable, to create awareness among adolescents regarding impact of smartphone. The study was undertaken with 60 sample.

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Impact, Smartphone, Physical Wellbeing, Adolescents.

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A SURVEY TO EVALUATE HETU SIDDHANT WITH SPECIAL REFERENCE TO NAKTA DADHI SEVAN

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A SURVEY TO EVALUATE HETU SIDDHANT WITH SPECIAL REFERENCE TO NAKTA DADHI SEVAN

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Psychological benefits of reducing obesity through behavioral and dietary interventions - A case study Mrs.JAYA.C.C,MSC(N),Ph.D RESEARCH SCHOLAR IN WOMEN'S STUDIES, MOTHER TERESA WOMEN'S UNIVERSITY,KODAIKANAL ABSTRACT The global epidemic of obesity continues to escalate. Decades of caloric overconsumption combined with reduced energy expenditure has produced an obesogenic environment, which has caused the global prevalence of obesity to double since 1980.It is well documented that weight loss in overweight or obese individuals has significant physiological benefits, eg: reduced risk of diabetes, lowered blood pressure. However, behavioral and dietary interventions have investigated psychological benefit as the primary outcome.Addressing the global obesity crisis requires a whole-population approach to achieve the World Health Assembly's goal of zero global growth in obesity by 2025. Objectives: o To assess the BMI among obese women o To determine the effectiveness of behavioral and dietary interventions among obese women o To compare the Pre- to Post- interventions. Methodology: A case study approach is adopted to evaluate the psychological outcomes of weight loss by following a behavioral and dietary weight loss intervention in obese populations. 15 Samples were selected for the case study. Overweight and obese females who were otherwise healthy with no concurrent disease or clinical psychopathology (for example, cardiovascular disease) were taken as samples. Pre- to Post- interventions were calculated by using descriptive and inferential statistics to indicate the magnitude of change. Results:Changes in self-esteem, depressive symptoms, body image and health related quality of life were evaluated and discussed.: The results also showed that consistent improvements in psychological outcomes concurrent with and sometimes without weight loss. Improvements in body image and health related quality of life were closely related to changes in weight. Although the quality of the studies reviewed was generally acceptable, and the content, duration of intervention and measures used to assess psychological outcomes varied considerably. Conclusion: These interventions are beneficial in preventive, curative and promotive aspects of the management of obesity .Further research is also required to improve the quality of studies

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KEY WORDS: Obesity, Psychological benefits( self-esteem, depressive symptoms, body image and health related quality of life )Behavioral and dietary interventions(Good nutrition, seeking and utilizing social support ,exercise and life style advice).

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Machine learning (ML) approaches, based on several logical and statistical processes, provide a system the ability to learn and promote adaptability to the environment. Recognizing complicated patterns and making judgments based on the findings is the main objective of machine learning. Different machine learning methods are used to protect mobile ad hoc networks. The lack of infrastructure in MANETs makes it extremely difficult to build security measures. The security strategies used in MANETs primarily concentrate on routing path security, outlier/bad-behaviour/selfish node removal, intrusion detection, and the mitigation of malicious assaults. In order to provide effective security solutions, the researchers have been utilizing cutting-edge technologies while taking into account the dynamic environment of MANETs. These technologies include machine learning, artificial intelligence (AI), approaches based on genetic algorithms, algorithms inspired by biological processes, and others. This examination of several contemporary methods for enhancing security in MANETs is thorough and methodical, and it is presented in this paper.

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MANET, Denial-of-Service, AODV, Neural Networks, Gray hole Attack

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This review article delves into the various strategies and protocols associated with implant placement and loading in patients with partial edentulism. Partial edentulism presents a unique challenge in restorative dentistry, requiring careful consideration of implant positioning and loading to achieve optimal functional and esthetic outcomes. The review comprehensively explores the current literature on implant placement techniques, including conventional two-stage approaches, immediate placement, and guided surgery methods. Moreover, loading protocols, such as immediate, early, and delayed loading, are discussed in relation to their advantages and limitations. The review also highlights advancements in digital dentistry and their impact on implant planning and execution. By synthesizing evidence-based insights, this article provides valuable guidance for clinicians in selecting appropriate implant strategies tailored to the individual needs of partially edentulous patients. Proper decision-making regarding implant placement and loading protocols not only ensures successful osseointegration but also enhances patient satisfaction and quality of life.

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Dental Implants, Early Loading, Early Placement, Immediate Loading, Immediate Placement

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??? ?????? ' ???? ?? ??? ' ??? ????? ??????

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This article explores the transformative potential of Ashtanga Yoga as a holistic approach to enhancing overall wellness and disease prevention. Ashtanga Yoga, an ancient system of physical and mental practices, offers a unique blend of postures, breath control, and meditation techniques that promote physical fitness, mental clarity, and emotional balance. By delving into the profound impact of Ashtanga Yoga on the body and mind, we unveil its role as a key tool in maintaining health, preventing diseases, and fostering a holistic sense of well-being.

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Ashtanga Yoga, Disease Prevention, Holistic Wellness, Physical Fitness, Mind-Body Balance

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The congenital abnormalities are talk of the day most of the children born are with the heart and other organ abnormalities. The social concerns and other factors of diseases cause are the factors responsible for it. Some children have inborn such diseases while others develop it with span of time. One of diseases is the abnormal condition of heart or abnormo-cardia with lot of heart disorders and syndromes that develop in the children with span of time or is in-herent. The changing life style with sedentary and materlistic approach leads to lot of cardiac diseases in children leading to lot of disabilities of primary, secondary and tertiary type. The stress in the environment leads to the suffering hence causes the diseases of heart in the people. In children due to wrong habits of eating junk food causes the heart problems. The increased heart problems are also due to increased pressure in the children due to over burden in the schools of cognitive, conative, behavioural nature.

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Abnormo-cardia, conginential heart diseases, awareness, knowledge score, leaflet

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Economy of a country depends on performance of banks. Profitability of bank depends on the how efficiently capital has been utilized and capital availability for banking activities. In today's business environment, financial analysis is considered as one of the most reliable tools to judge the performance of banking sector. This present study investigates the financial performance of selected private and public sector banks in India. It investigates the performance from 2018 to 2023 by adopting the DuPont system. This study finds that HDFC Bank's performance much better in ROE, NIM, ATO and NPM. Axis bank and ICICI Bank among all banks better in Leverage ratio.

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DuPont, Return on Equity (ROE), Net Profit Margin (NPM), Net Interest Margin (NIM), Asset Turnover Ratio (ATR) and Net Profit Margin (NPM)

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The rapid growth of electric vehicles (EVs) has brought about the imperative an increase in EVCI (Electric Vehicle Charging Infrastructure) to meet the surging demand. Within this context, our project confronts the critical challenge of strategically situating EV Charging Stations (EVCS) within a distributed power network with the dual objectives of minimizing voltage losses and associated costs. To accomplish this, we implemented a two-step methodology. First and foremost, we harnessed the Forward- Backward Sweep method to comprehensively assess voltage loss across the network. This initial phase yielded a granular understanding of the voltage profile, enabling us to pinpoint areas of concern and prioritize their mitigation. Subsequently, we devised a cost function, considering diverse factors such as installation and operational expenses, to quantify the economic ramifications of deploying EVCS at distinct locations within the network. Consequently, we applied an Arithmetic optimization algorithm to identify the best position for EVCS, a placement that simultaneously minimizes voltage loss while optimizing costs. By iteratively fine-tuning the positioning of charging stations, we unearthed solutions that strike an equilibrium between network performance and financial prudence. The results of our project serve as compelling evidence that through the systematic application of optimization techniques, it is feasible to the lion's share advantageous places where EV Charging Stations are located in a distributed network. By better utilizing the infrastructure for charging electric vehicles, this not only strengthens the distribution system's dependability and efficiency but also promotes the adoption of electric vehicles on a sustainable basis. Our findings offer invaluable insights to utility companies, policymakers, and stakeholders engaged in the planning and expansion of EVCI networks, promoting an economically and technically astute approach.

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EV charging station, distributed network data, power loss, installation cost, loss analysis, operational cost

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This study explores the complex function of empathy as a thematic concern in Thomas Harris's Red Dragon. The study analyses how different levels of empathy impact main characters - Will Graham, Francis Dolarhyde, and Reba McClane's interactions, decisions, and personal development through a close examination of these three characters. The paper examines how Dolarhyde's lack of empathy contrasts with McClane's empathic perception of him, causing his metamorphosis, and how Graham's remarkable empathetic qualities influence his investigation methods. The study reveals how this topic drives the plot, encourages reader involvement, and prompts ethical reflection by exploring the relationship between empathy and character development. This paper is significant in drawing readers' attention to consider the complex dimensions of human nature by illuminating the psychological complexities of the characters and showcasing the lasting value of empathy and its portrayal in crime fiction.

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Crime Fiction, Empathy, Psychological complexities, character development

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India's ascension to the presidency of the Group of Twenty (G-20) in 2023 represents a significant opportunity for the country to shape global economic policy, particularly in the realm of foreign trade. In International Trade G-20 plays an important role in shaping & strengthening global architecture & governance, promoting inclusive growth, increasing investment in infrastructure and strengthening financial regulation. India's G-20 Precedency include Green Development, Climate Finance & Life, Accelerated, Inclusive & Flexible Growth, Accelerating Progress on Sustainable Developmental Goals, Technological Transformation & Digital Public Structure, Multilateral Institutions for the Century and Women led development. This research paper explores India's G-20 presidency, its historical significance, and the prospects it holds for enhancing India's foreign trade. It examines India's trade policies, trade relations with key partners, and the potential impact of its presidency on global trade dynamics, greater access to markets, more favorable trade and investment agreements. Additionally, the paper analyzes the challenges and opportunities India faces during its tenure as G-20 president and offers recommendations for maximizing the benefits of this role.

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India's ascension to the presidency of the Group of Twenty (G-20) in 2023 represents a significant opportunity for the country to shape global economic policy, particularly in the realm of foreign trade. In International Trade G-20 plays an important role in shaping & strengthening global architecture & governance, promoting inclusive growth, increasing investment in infrastructure and strengthening financial regulation. India's G-20 Precedency include Green Development, Climat

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Accurate data collection and analysis for use in business growth and daily operations are crucial in today's competitive world of industries. Artificial intelligence enables the completion of tasks in the industry more quickly and effectively. Artificial intelligence is being incorporated into a number of departments, including those dealing with human resources, finances, marketing, and production. Organizations can inform their current performance and daily operations by deploying AI systems. Due to mounting financial pressure, harsh bosses now recognize the value of artificial intelligence in the workplace. This research article is based on secondary data., which was information gathered from books, journals, websites, blogs about human resources, etc. The primary goal of the research was investigating the function of artificial intelligence in the HR department and the challenges in the implementation of the same. AI plays a larger role in the human resources department than previously thought. Robotics companies can handle hiring, analyzing and collecting data, collecting data, reducing workload at work, and enhancing workplace efficiency.

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Artificial Intelligence, Human Resource Management, industries, operations.

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