Volume 12 | Issue 3 |

 Abstract

Addiction a psychological and physiological dependence on alcohol affects not only the lives of so many people but also leaves them in a state of denial that they can stop this at any time, which is not true. Realizing the importance of the need for information and education on alcohol moderation skills, enhancing awareness on myths about alcohol addiction and related problems the current study assessed the effectiveness alcohol skill training programme on alcohol addiction among the individuals attending de addiction clinic. The main objective of the study was to assess knowledge and drinking frequency before and after Alcohol Skill Training Programme (ASTP) and to find out the effectiveness of ASTP. The conceptual framework adopted for this study was modified Ludwig Von Bertanlanffy's general system theory (1930). One hundred and twenty samples selected by convenience sampling were given ASTP for four weeks after assessing their pre-intervention knowledge and drinking frequency. The results on post intervention knowledge and drinking frequency showed significant improvement (P =0.001) on their knowledge and significant reduction (P = 0.001) in their drinking frequency. The percentage difference of 31.3% in knowledge score with 95% confidence interval revealed the effectiveness of ASTP. The above findings revealed structural approaches to alcohol consumption. Therefore it is an important tool and can help to reduce for harm.

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IMH: Indore Mental Hospital, ASTP: Alcohol Skill Training Programme

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: Abstract: Media is a means of communication between people through magazines, television, internet, government officials, community workers and a lot more. Media and women development go hand in hand .The status of women in India has changed a lot from past to present. Women are making their space and presence in almost all sectors of our society. Women are getting equal rights as men do through gender sensitization and gender equality. Media plays an important role as it communicates information from government officials to general public. There are various legal provisions for women empowerment along with conventions Regarding women. Along with all the positive participation of women in all sectors, there are also some negative sides, just as a coin has two faces. Since innumerable times women have been considered lower than males. Right from their birth they are being taught about their role in society as caretakers of the house and family. Those women who go out to work are being treated as objects and they are paid lesser than males. So there is wage discrimination between men and women. The empowerment of women is much needed for the social and economic growth of any society. They are the creators, teachers and developers of any human generation. Media is often considered as the 4th pillar of the society and democratic medium of information. The role of media has become very important in shaping present days society. Key Words: Media, women Empowerment, Education, Gender inequality.

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Media, women Empowerment, Education, Gender inequality

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The theory of separation of power means that the three organs: Legislature, Executive and Judiciary are separate from each other and perform distinct functions. One of the organs i.e. judiciary is seen sometimes making laws. While the legislature has the constitutional authority to enact laws. There are still some circumstances where the existing laws made by the legislature prove to be inadequate in the process of administration of justice, then judiciary plays active role. Judges do make laws to fill the lacunas in the legislative laws with the help of judicial review. It leads to judicial activism and also judicial overreach. This paper is an attempt to understand the law-making power of the judiciary in India and USA. It also explores the different concepts relating to judicial legislation, judicial review, judicial activism and judicial overreach.

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KEYWORDS: judicial legislation, separation of power, judicial activism, judicial overreach

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Liver disease has become a prominent global health concern, with conditions like cirrhosis and liver cancer ranking among the leading causes of mortality worldwide. The insidious nature of many liver diseases often results in asymptomatic onset, leading to underdiagnosis and delayed treatment. Early detection and management are pivotal in mitigating the impact of liver illnesses. Recognizing the challenges posed by the costly and intricate diagnostic processes, this study aimed to evaluate the effectiveness of diverse machine learning techniques in identifying liver disease. UT disease. Utilizing liver patient record dataset, this research explored five machine learning models for predicting the occurrence of liver disease using patients' medical histories. Through meticulous data pre-processing and analysis, encompassing tasks such as handling Managing absent data, encoding categorical variables, and standardizing features., the dataset was meticulously prepared for model training. Subsequentaluation of the Five algorithms for machine learning, restated. revealed Random Forest as the top-performing model, achieving an accuracy of 75.87% on the test dataset. This research underscores the promise of machine learning in accurately predicting liver disease, thereby facilitating early diagnosis and intervention.

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machine learning, dataset, handling missing values and encoding categorical variables, Reformulated, normalizing features

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A major contributor to cardiovascular disease, atherosclerosis is an inflammatory vascular condition marked by a gradual buildup of cholesterol in the walls of the arteries. In recent years, problems with synthetic drug adverse effects have contributed to drug abuse. A new understanding of medicinal plants has therefore lately evolved, and extensive study has been done on these herbs in an effort to create novel organically based medications. The objective of this review paper was to examine the molecular processes of therapeutic plants with potential against atherosclerosis. The regulation of inflammatory factor expression, stimulation of PPARs, inhibition of 3-hydroxy-3-methyl-glutaryl-coenzyme A reductase (HMG-CoA reductase), promotion of ATP-binding cassette transporter A1 (ABCA1) and ATP-binding cassette transporter G (ABCG), facilitation of adiponectin activity, reduction of LDL cholesterol, and stimulation of PPARs are just a few of the mechanisms by which an improved understanding of these herbal mechanistic linkages is a crucial step before designing new plant-based medications.. An important part of the aetiology of atherosclerosis is inflammation. Excessive intimal fibrosis, the development of fatty plaques, the growth of smooth muscle cells, and the migration of inflammatory-response cells including platelets, monocytes, and T cells are all symptoms of the condition. The early stage of atherosclerosis in cardiovascular illnesses is represented by low density lipoprotein (LDL) oxidation to Ox-LDL. Increased peroxynitrite concentrations in some clinical conditions, including severe hypercholesterolemia, worsen atherosclerosis and vascular damage. It has been proven that medicinal plants have the ability to interact with these or other pathogenic variables to inhibit atherosclerosis.

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Atherosclerosis, herbal plants, phytoconstituents

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The use of power divides society into two big parts - powerful and powerless, but this is not believed under the pluralistic theory of power. According to this theory, all the power in society is not concentrated in the hands of any one class or department, rather it is distributed among many groups. These groups cannot be placed in the categories of dominant and subordinate groups, rather they all exercise their own kind of power in their respective areas. Pluralism is used in different fields and in different forms. Generally, it represents a diversity of ideas. In today's democratic and dynamic societies, due to the growth of groups with different cultural characteristics and their participation and contribution being recognized by the state, most of the societies are developing into societies with mixed culture. The differences existing in the contemporary scenario of Indian society can be clearly seen. There is diversity in the society itself, that is why diversity exists in interests also. The pluralistic paradigm emerged late compared to other theoretical models of analysis and its appeal has been increasing with the passage of time.

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Power, Pluralism, Democratic, Dynamic Societies, Mixed Culture.

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Abstract: OBJECTIVE: Sepsis accounts for 30-50% of all neonatal fatalities annually in underdeveloped nations, blood cultures in newborn septicemia are not usually positive. Neonatal septicemia should be diagnosed using a combination of clinical hematological and other microbiological data. In this study our aim is to find out how neonatal sepsis present clinically and what are the risk factors associated with sepsis in neonates, how to manage neonatal sepsis and outcome METHODOLOGY: Our study is Prospective, Observational, Hospital based Clinical study. Conducted in Pediatric Intensive care unit of Government General Hospital attached to Kurnool Medical College, Kurnool. The sample was collected based on inclusion and exclusion criteria. CONCLUSION: Neonatal sepsis undoubtably is a significant cause of neonatal mortality regardless of onset of sepsis, hence all the efforts should be taken towards controlling infection in indisposed neonates. Local microbiological data base like antibiogram should be carefully updated regularly to provide information to clinicians in effective management of sepsis.

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Key words: National Neonatal Perinatal Database (NNPD), Interleukin-6 (IL-6)

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The main theme of this proposal was to develop a smart appointment booking system, that provides patients or any user an easy way of booking a doctor's appointment online in health care. The purpose of doctor's appointment system is to automate the existing manual system by the help of computerized equipment, so that their valuable data/information can be stored for a longer period with easy accessing and manipulation of the same. The required software and hardware are easily available and easy to work with. This system overcomes problem of searching doctors by helping users to get doctor according to their need, and other related health care details at a single place. Also solves issue of managing and booking appointments according to user's choice or demands. This system provides the power of direct interaction between doctors of customer choice when required for your small problems. This application is basically organized in a bipartite in terms of functions: doctor can get the patients data to understand the history and users(patients) can get registered in few seconds at comfort of home. Online doctor's appointment application was devised to offer huge variety in health care to users, case of registering and get verified doctor, view medical progress and all the data get stored in database.

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Online Doctor Appointment Booking System

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Diabetic retinopathy (DR) is a significant cause of vision impairment among individuals with diabetes. Early detection and timely intervention are crucial for preventing vision loss. This study presents a deep learning-based approach for the prediction of diabetic retinopathy using retinal images. We employed a convolutional neural network (CNN) architecture to extract meaningful features from a large dataset of retinal images. The dataset consisted of both normal and diabetic retinopathy-affected images, with gradings for the severity of DR. Our model achieved promising results in classifying retinal images into different stages of diabetic retinopathy, with high accuracy and sensitivity.

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DR grading, DR detection, Deep learning, Convolutional neural network, Retinal fundus images.

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