bluuebunny/crossref_metadata_2025 huggingface dataset:
Knowledge and Attitude Regarding HPV Vaccination among Late Adolescent Girls Studying in Selected Colleges
Authors: Geetha D. , David A. , Janet M. , Blessy P.S. , Abinaya R. , Mephaath S.
Published: April 2023

Introduction Human Papillomavirus (HPV) is the most common sexually transmitted infection in both sexes. In Spite of the vaccines which are highly immunogenic, safe, well tolerated and highly effective in preventing HPV infection the interest shown to receive the vaccine is least. The major reason is the lack of awareness and knowledge about HPV, vaccines and cervical cancer among people resulting in only a small number of immunizations being reported. The investigators decided to know the vaccination knowledge and attitude on their own settings and conducted a study. Aims: To determine the knowledge and attitude regarding HPV vaccination among late adolescent girls Methods: A Descriptive Research Design was adapted in this study. The study was conducted among First year undergraduate female students studying in the following colleges Physiotherapy, occupational therapy and Optometry of Sri Ramachandra University. Non Probability Convenience Sampling Technique was used to select the samples during the study period. Demographic Variables consist of Age, Year of study, previous knowledge on HPV Vaccination, Immunization History. PART II- Section A: Structured Knowledge questionnaire on HPV Vaccination. Results Out of 122 participants 68% of students have heard about HPV vaccine and 32% of students have not heard about HPV vaccine. 10.7% of the students have received HPV vaccination and 89.3% of the students have not received HPV vaccination; among 89.3% who have not received HPV vaccine, only 60.6% are willing to receive HPV vaccine in future and 28.6% are not willing to receive HPV vaccine in future. The study revealed that 51% had inadequate knowledge and 49% of students had moderately adequate knowledge on HPV vaccination. Conclusion The study results concluded that the majority of adolescents require the knowledge of human papillomavirus vaccination. The urge of vaccination needs to be inculcated among adolescents through educational institutions.
Stress and coping strategies among the spouses of the alcoholic in Bharatha Matha de-addiction center, Puducherry
Authors: Lalitha R. , Maheshwari K.
Published: April 2023

Background: Alcoholism Physiological problems (hand tremors and blackouts), Psychological problems, (an obsessive desire to drink), Behavioral problems that affect work or social life. Spouses of the alcoholic may experience psychological problems due to her life with the alcoholic husband. The spouses of the alcoholic individuals experience high levels of stress from dual problems husband’s alcoholism and domestic violence by the husband and are thus a high-risk group. In alcoholism, spouses are mainly affected because of the intimate nature of the relationship with the husband and constant exposure to the behavior of alcoholics. This study aimed to assess the stress and coping strategies among the spouses of the alcoholic. Objectives: 1. To assess stress and coping strategies among the spouses of the alcoholic in de-addiction centers. 2. To find the correlation between stress and coping strategies among the spouses of the alcoholic in de-addiction centers. 3. To find the association between stress and coping strategies among the spouses of the alcoholic in de-addiction centers with selected demographic variables. Methodology: A Descriptive research design study was conducted among 50spouses of the alcoholic in de-addiction centers, Puducherry. Each spouse of the alcoholic was selected through a non-probability purposive sampling method and was assessed stress and coping strategies among the spouses of the alcoholic by using a standardized tool (Perceived stress standardized scale and Carver, C. S. (1997) coping strategy scale). The collected data were computerized and analyzed using SPSS version 25. The analysis was done using Frequency, Percentage; Pearson correlation r test, and Chi-square test. Results: The result shows that the stress level, majority of the spouses of the alcoholic41 (82%) had a moderate level of stress and 9 (18%) had a high perceived level of stress and the coping strategies level, majority of the spouses of the alcoholic 36 (72%) had a moderate level of coping strategies and 14 (28%) had a low level of coping strategies.Conclusion: The study concludes the majority of the spouses of the alcoholic had a moderate level of stress and coping strategies. Hence, an Awareness program on the prevention of alcoholism can be started in this group to educate the public in both the clinical and community settings and Pamphlets can be given to the spouses of the alcoholic. The Psychological health care service administration should plan and formulate policies for spouses of the alcoholic.
Content Consumption Patterns of Korean Pop Fans in India
Authors: Sridhar B. , Jaggi R.
Published: April 2023

Digitization and pop culture has come a long way. Making and taking experiences online has given new spectrums for fans to participate and integrate. The Hallyu wave, one of the recent flagbearers of the pop culture phenomenon, facilitating the global rise of K-pop, has brought in new lessons for the music industry. With cultural similarity and fascination that draws audiences to K-pop, the Korean music industry relies on a solid audience presence for fans to interact, consumer, and garner intimacy from them as a two-way exchange. India is one of the Asian countries that has caught on to this wave through rapid digitization, giving the country a strong base of consumers. Content consumption through videos and articles is one way that fans learn more about Korea’s music, culture, and people. The following paper examines the nature of content consumption amongst Indian K-pop fans based on three parameters, the quantity of consumption, the preference of platform, and the perceived intimacy, given between the fans and K-pop by these platforms.
Development of medical tourism in India: prospects and challenges
Authors: Sharma R. , Bharti N. , Malik S.
Published: April 2023

With the advent of globalization, concepts like medical tourism, wellness tourism, healthcare tourism, and medical migration have gained popularity. The medical tourism industry is the fastest growing industry in the world, with a CAGR of 21.1%. India is known historically for its spiritual values, Ayurveda, and naturopathy. Currently, India is one of the most preferred locations for medical tourism after Thailand. Looking at the growth potential of this industry in India, this paper aims to trace the thematic trends and intellectual progression in the development of medical tourism in India. To achieve the above objective, bibliometric analyses were carried out using the Scopus database from 2006 to 2020. The methodology used to analyze the literature is data mining and literature studies in terms of evolution, citations, etc., and creating semantic maps using VoS Viewer. The paper also aims to analyze the current research trend in this field and provide future directions for research. The results reveal the field’s evolution regarding impact, citations, sources and provide researchers and practitioners with a visual framework of research in this area.
Connecting the dots in ‘Rarest of rare’: Is judicial discretion the perfection of reason? Tracking judicial discretion in death penalty cases in India
Authors: Deshpande M. , Gurpur S.
Published: April 2023

In order to restrict the imposition of the death penalty to an extremely narrow band of cases, the Supreme Court of India laid down the principle of ‘rarest of rare’ guiding but not fettering the sentencing discretion of judges. Despite the guidelines, the decision remains purely discretionary with its accompanying arbitrariness leading to unpredictability, and disparity in sentencing, which places a tremendous burden of responsibility on the sentencing judge. It is necessary to think of an alternative to the judge-centric discretionary death penalty, such as Sentencing Commission recommended the death penalty, that will help bring transparency and predictability to the entire process of decision making. Discretion delivers discrimination. Therefore, the discretionary death penalty is discriminatory. Whether by a judge or a jury, the exercise of sentencing discretion is arbitrary and capricious, particularly if the discretion is untrammeled and unchannelized. The ‘rarest of rare’ principle does not differentiate between murder simpliciter and murder contemporaneous such as rape-murder. Each judge interprets the meaning of ‘rarest of rare’ in his way. The current system is not working. A guideline-driven sentence is far better than a judge-centric one. The US Congress has constituted the US Sentencing Commission, a statutory judicial body entrusted with formulating a mechanism for sentencing to remove disparity and element of surprise in the sentencing outcome. It lays down structured guidelines with narrow judicial discretion in the matter of sentencing a convict. Sentencing Commission, though not a perfect mechanism- no mechanism can be perfect given the very nature of capital punishment- seems to overcome many of the drawbacks and shortcomings of the existing judge-centric system raising questions on perfect reasoning.
‘What We Are and Have - To Behave’: Behavioural Problems and Nutritional Status of Children from an Urban Slum in Pune
Authors: Roopa M.G. , Gokhale D.
Published: April 2023

Slums are high-risk environments for children, which increase the likelihood of development of behavioral problems and poor nutritional status. A definite relationship between behavior and nutrition has been defined in children living in other settings, but evidence from slums is lacking. Thus, the purpose of this study was to understand the nature of the association between behavior and nutrition in children from an urban slum. This study included children of age 6-12 years (n=70). Convenience sampling was used to recruit participants. The parents of the children were interviewed, and details on socio-demography, socioeconomic status (SES), behavior (by Strengths and Difficulties Questionnaire), and diet of the child were recorded. Anthropometrics of the children were measured using standard procedures, which were used to categorize them by body mass index (BMI) and mid-upper arm circumference (MUAC). Data were analyzed using descriptive statistics and analytical tests. It was observed that children who were underweight or with an undernourished MUAC were less likely to display conduct problems and low prosocial behavior than children of normal weight. Children with an over nourished MUAC were more likely to be hyperactive. Decreased intake of protein and micronutrients corresponded to a lower prosocial behavior score. Intake of potassium was less among children who were hyperactive, while intake of sodium from food was more among children with a raised total difficulties score. All these associations continued to be significant even after controlling for demographic variables. The findings of this study reiterate the need to include nutrition as an important component of studies and interventions targeting the mental health and behavior of vulnerable children in slums.
Exploring the Association of Job Satisfaction with Organizational Stressors, Demographic Factors, and Mental Health: The Indian IT/ITeS Narrative
Authors: Sandal N. , Lyngdoh A. , Coelho P. , Bhattacharya S.
Published: April 2023

A little more than 50 million Indians are reported to have the ill effects of depression, and another 38 million, reported anxiety. Despite this, it is crippling to see that India’s emotional well-being is hardly examined. Besides, with a boom in the service industry, the working environment conditions assume a significant role in the Indian workforce’s mental health. Our research explored job satisfaction with mental health, demographic factors, and organizational stressors of those working in the IT/ITeS industry. This study tries to address the gap in the research done on this theme for the Indian workforce. An advanced cross-sectional study was directed to around 220 people presently working or involved in the IT/ITeS industry utilizing approved instruments like the Minnesota Satisfaction Questionnaire. An individual regression model was utilized to examine each satisfaction factor’s relationship with the individual’s mental health, demographic factors, and organizational stressors. Study discoveries demonstrate that a considerable association is present between job satisfaction and mental health; Age, sex, educational background, marital status did not have a strong association with job satisfaction. In contrast, individual yearly earnings and yearly household earnings had a positive association. This research even discovered that emotional stress is a strong attribute to all the facets of an individual’s job satisfaction. This study may cause to notice a superior comprehension of this relationship and assist organizations with structuring and executing employee assistance programs and different tools to enhance job satisfaction and reduce stress.
Persisting misogyny: a gendered analysis of online harassment of Indian content creators on Instagram and its impact on mental health
Authors: Tewari P. , Mehendale S.
Published: April 2023

As the digital medium increasingly becomes an irreplaceable part of life for people, trolling is on the rise too. The anonymity provided by the digital platform helps trolls abuse and harass an online content creator. This study attempts to study the patterns of trolling faced by online content creators in India. The analysis of trolling comments reveals deep-rooted misogyny in trolls’ minds, with women being subjected to demeaning abuses that are sexual. The study also discusses what effect trolling has on content creators’ mental health and how they negotiate with it. With social networking use spreading through the daily lives of the bulk of the world’s population, it’s becoming more critical than ever to comprehend a user’s interaction with these new-age multimedia networks and recognize the degree and sort of effect these sites can have on a user’s behavior in both personal and professional settings. The answers of the participants offer insight into various viewpoints on social media use, with a focus on the Instagram website. According to the results of this report, New Zealand females have not substantially modified their social media behavior habits, but have refined their use in a way that now supports their personal and professional lives.
Analysing The Effectiveness of Stress Management Practices Post COVID-19 With A Modified Job Stress Scale
Authors: Pal S. , Lawande N.
Published: April 2023

Post COVID-19, there is increased psychological stress and depression over the whole world population. Multiple factors like perception of safety, risk of contagion, confinement, stigma, social alienation, financial loss, and job insecurity create much stress for the working population. Top management at various companies implements various stress management policies to reduce the employees’ fear and stress. Job stress scales used in many companies are incapable of measuring stress management practices post-COVID-19. This work proposes a new job stress scale for effective stress measurement in companies post COVID-19. The novel job stress scale’s effectiveness is tested against a corporate company’s pilot study to analyze the effectiveness of various stress management practices followed in the company post-COVID-19. The unprecedented impact of the COVID-19 pandemic has prompted action to address the global crisis, which is critical for psychiatry. As mental health professionals, we are on the front lines of providing psychological support to those affected by the pandemic. Empirical tools, such as validated scales and questionnaires, are essential for managing mental health issues. Such tools would help manage mental health occupational burden and other psychosocial issues and manage future uncertainty.
Analyzing The Impact of COVID-19 On e-Grocery in India
Authors: Srivastava R. , Sharma A.M.
Published: April 2023

Purpose: The COVID-19 pandemic has brought about several changes in the regular life of consumers. One such field is eGrocery, where a surge in online grocery orders were seen when the nation was on lockdown. The purpose of this study is to study the impact of COVID-19 on eGrocery and to find a relation between consumer’s demographic characteristics and the satisfaction level of ordering groceries online. Design/methodology/approach: The author has conducted primary research by doing a survey online. One hundred sixty diverse responses were received, which were further analyzed using SPSS software and visually represented through Tableau. Findings: The paper finds that demographic variables, especially gender and age, affect consumers’ behavior while making online grocery purchases. Findings also reveal there is a difference among the five recognized attributes, Convenient Delivery Slots, Better Deals/Discounts, Cash free transactions, Return policy, and social distancing, before and during the lockdown. We also find that respondents leaned towards brick and mortar stores for their grocery shopping before the outbreak and more towards eGrocery platforms such as BigBasket (45%), Zomato (25%) during the pandemic. Originality/value: The main contribution of this paper is to analyze the behavior of consumers during the pandemic of 2020. Currently, not many relevant papers are there for reference. This paper can serve as a reference for the students who opt for a similar topic, want to study, and write on the COVID-19 outbreak.
The Historic Landscape & Typologies of Ancient Structures at Ambala Tank, Ramtek, Maharashtra
Authors: Revekar A. , Sharma S.
Published: April 2023

Ambala, a small settlement located near the town of Ramtek, is known for its landscape. The landscape of Ambala comprises an ensemble of the physical and human environment with tangible and intangible qualities is paid from Ramtek due to the geographical setting. The historical settlement of Ambala has a water tank surrounded by the typology of Ghats, temples, Chhatries, Kunds, Gate, etc. The ensemble is the center of human interaction through a medium of various ritualistic activities and performances. The development in the region of Ramtek began in the 5th century A.D. by the “Vakataka Dynasty” and continued till the 18th century A.D. ruled by the “Bhonsala Dynasty”. The United Nations Educational, Scientific and Cultural Organization (UNESCO) recommend the Historic Urban Landscape, defined as the urban area understood as a historical layering of cultural values and its geographical setting. The fieldwork involved a reconnaissance survey investigating the settlement and built structures within a km radius at Ambala tank, Ramtek. The basic methodology adopted was a reconnaissance survey that included the documentation work of sculptures and various built installations situated around the Ambala tank. The paper investigates the Ambala tank’s historical landscape and contextual study in Ramtek, Maharashtra, India. The context of the study would include topography, natural features, built environment, land use, spatial organization, open spaces, practices and values, tangible and intangible dimensions of the heritage.
Emotional Intelligence in the IT Industry: A Study on Emotional Intelligence among IT Professionals
Authors: Kapadwala S. , Joseph S.
Published: April 2023

In this ever-changing world full of emerging technologies and business ideas, the human touch is neglected, and the sense of emotion and feelings goes dull. As much as we have been giving attention to improve our intelligence quotient and developing methods to cultivate it, the other aspect of it which runs parallel, that is, the emotional quotient, is ignored. Nowadays, organizations are experiencing changes very often, and they are educating a positive environment at their work settings so that their employees can defy their turbulent minds off any negativity and balance their emotions. Emotional intelligence or EI refers to the ability to perceive, regulate and assess one’s own emotions. At workplaces, employees need to stay mentally strong. Being emotionally intelligent helps them to increase their decision-making skills, creativity, and emotional resilience. In the history of research on human psychology, EI and its association with the workplace has been given less importance. The present research has attempted to determine the relationship between EI and employees’ job performance working in the IT industry. The study population consisted of employees working in the IT industry, ranging from large scale companies to small scale companies, and the sample size was 100. For data collection of EI data, a self-assessment EI questionnaire based on Goleman’s EI framework was applied, and for evaluating job performance, the Paterson work performance questionnaire was used, and their Cronbach alpha reliability was 0.97 and 0.98, respectively. The results showed that emotional intelligence had a more significant effect on employee job performance.
Analysis and Comparison of Image Enhancement Technique for Improving PSNR of Lung Images by Median Filtering over Histogram Equalization Technique
Authors: Sabarish R.T. , Ramadevi R.
Published: April 2023

Aim: The main goal of this project is image enhancement to improve interpretability or perception of information in images for human viewers and also to provide better input for other automated image processing techniques. Materials and Methods: In this research different sources of lung images collected from Kaggle website were used. Samples were considered as (N=30) for median filtering and (N=30) for novel histogram equalization technique with total sample size calculated using clinical.com. As a result the total number of sample was calculated to be 60.Using SPSS Software and a standard data set,the PSNR was obtained. Both median filter and novel histogram technique image enhancement were implemented on Lung images through Matlab coding and also extracting PSNR values of each image. Then through SPSS software comparison and analysis has been made Results: In an image enhancement of the image processing pathway, novel histogram equalization technique shows the best performance by removing noise to improve PSNR of lung images than median filtering. Comparison of PSNR values are done by independent sample test using IBM-SPSS software. There is a statistical difference between histogram technique and median filtering. The novel histogram equalization technique showed higher results of PSNR (69.6557dB) with (p=0.04) in comparison with median filtering (37.6427dB). Conclusion: Histogram equalization image enhancement technique provides high PSNR values for different sources of lung images than median filtering Technique.
Analysis and Comparison of Image Enhancement Technique for Improving PSNR of Lung Images by Wiener Filtering over Histogram Equalization Technique
Authors: Sabarish R.T. , Ramadevi R.
Published: April 2023

Aim: The aim of this study is to compare and analyze wiener filter algorithm for lung image enhancement over novel histogram equalization technique. Materials and Methods:In this research, different sources of lung images collected from the kaggle website were used. Samples were considered as (N=30) for median filtering and (N=30) for novel histogram equalization technique with total sample size calculated using clinical. com. As a result the total number of samples was calculated to be 60. Using SPSS Software and a standard data set, the PSNR was obtained. Both median filter and novel histogram equalization technique image enhancement were implemented on lung images through Matlab coding and also extracting PSNR values of each image. Then through SPSS software comparison and analysis has been made. Result:. The novel histogram equalization technique showed higher results of PSNR (67.2076dB) in comparison with wiener filtering (37.1558dB). It is observed that histogram algorithm performed better than the Wiener filter (p=0.04) by performing an independent sample t-test. Conclusion: Within this research study the histogram equalization image enhancement technique has greater PSNR value of lung images than in wiener filtering technique.
Analysis and Comparison for Innovative Prediction Technique of Breast Cancer Tumor by Naive Bayes Algorithm over Support Vector Machine Algorithm with Improved Accuracy
Authors: Srinivasulureddy Ch. , Kumar N.S. , Binu V.S.
Published: April 2023

Aim: This research aims to determine the presence of breast cancer using Machine learning techniques and improving the accuracy of breast cancer prediction. Materials and Methods: This study is done on the data obtained from the UCI Machine Learning Repository and is used to acquire the data sets for the research of Innovative breast cancer prediction using machine learning algorithms. Naive Bayes (N=20) and Support vector machine (N=20) with sample size in accordance to total sample size calculated using clincalc.com by keeping alpha error-threshold at 0.05, confidence interval at 95%, enrollment ratio as 0:1, and power at 80%. Results: The Naive Bayes algorithm results in an accuracy of 92.25% with P=0.001,p<0.05 a sensitivity of 95.53% with P=0.001,p<0.05 and a precision of 90.87% with P=0.001,p<0.05. Support vector machine algorithm results in mean accuracy of 97.50%, sensitivity of 95.83%, and precision of 100%. Conclusion: Support vector machine (SVM) algorithm performed significantly better than Naive Bayes (NB) algorithm with improved accuracy of 97.50% for Innovative breast cancer prediction.
Analysis and Comparison for Innovative Prediction Technique of Breast Cancer Tumor using k Nearest Neighbor Algorithm over Support Vector Machine Algorithm with Improved Accuracy
Authors: Srinivasulureddy Ch. , Kumar N.S.
Published: April 2023

Aim: The main objective of this study is to compare the efficiency of the k-Nearest Neighbor (KNN) and Support vector machine (SVM) algorithms in detecting breast cancer tumors and to examine their improved accuracy, sensitivity, and precision. Materials and Methods: The data for the research of Innovative breast cancer prediction using machine learning algorithms is taken from UCI Machine Learning Repository. The sample size of the innovative technique involves two groups KNN (N=20) and SVM (N=20) according to clincalc.com by keeping alpha error-threshold at 0.05, confidence interval at 95%, enrollment ratio as 0:1, and power at 80%. The accuracy, sensitivity, and precision are calculated using MATLAB software. Result: Accuracy (%), sensitivity (%), precision (%) are compared using SPSS software using an independent sample t-test tool. The accuracy of the k-Nearest Neighbor is 93.38% (p<0.001) while the accuracy of the Support vector machine is 97.50%. The sensitivity rate is 90.85% (p<0.001) for k-Nearest Neighbor whereas the results of Support vector machine sensitivity is 95.83%. The precision of k-Nearest Neighbor is 98.48% (p<0.001) whereas the results of Support vector machine precision is 100%. Conclusion: The support vector machine algorithm appears to have performed better than the k-Nearest Neighbor with improved accuracy in Innovative breast cancer prediction.
A Study of assess the knowledge regarding self care management of diabetic mellitus among the diabetic patients at selected urban area
Authors: Jegatha C. , Hemavathy V.
Published: April 2023

Elevated level of blood glucose hyper glycemia leads to spillage of glucose in t urine, hence that terms sweet urine. Minority populations are disproportionately affected by diabetes. Self care for diabetes is of an utmost importance for prevention. Diabetes mellitus is a group of metabolic diabetes characterized by the elevated levels of glucose in the blood (hyperglycemia) resulting from defects in insulin secretion, insulin action or both. Insulin a hormone produced by the pancreas controls the level 0f glucose in the blood by regulating the production and storage of glucose. HbA1c levels improved more with combined exercise compared with either supervised aerobic or supervised resistance exercise alone. Diabetes self-management is the cornerstone of diabetes control and averting complications. If not treated properly, it can lead to a variety of chronic problems, including irreparable disability and death. Majority 13 (43.3%) of them were secondary, 9 (30%) of them were moderate, 8(26.6%) of them were heavy working pattern.
Analysis And Comparison Of Ventricular Cardiac Arrhythmia Classification Using Sodium Channel Parameters With ANN And KNN Classifier
Authors: Mahanya G.B. , Nithyaselvakumari S.
Published: April 2023

Aim: Aim of this research is to analyze and compare ventricular Cardiac Arrhythmia (CA) classification using Sodium Channel (Na+) parameters with Artificial Neural Network (ANN) and K-Nearest Neighbour (KNN) classifiers. Materials and Methods: Ten Tusscher Human Ventricular Cell Model (THVCM) (data) is used for arrhythmias classification. THVCM has well defined sodium (Na+) channel dynamics. Sample size was calculated by keeping threshold 0.05, G Power 80%, confidence interval 95% and enrolment ratio as 1. Number of samples considered is 20 for each analysis and will be imported to the classifier, K-Nearest Neighbour (KNN) and Artificial Neural Network (ANN) classifier to find better accuracy. Finally, the results (accuracy) will be validated by using Statistical Package for the Social Science (SPSS) software. Result: Ventricular normal, tachycardia and bradycardia data are fed into novel ANN and KNN classifiers. The results obtained from classifiers for 20 samples are fed to SPSS. In that ANN shows accuracy of 35.6% with standard deviation (3.17822) and Standard error mean (0.71067). Similarly KNN produces an accuracy value of 18.05% with standard deviation (1.19593) and Standard error mean (0.26739). Conclusion: As per the results, it clearly shows that the novel ANN has better accuracy for classification than KNN.
Analysis And Comparison Of Ventricular Cardiac Arrhythmia Classification Using Potassium Channel Parameters With ANN And KNN Classifier
Authors: Mahanya G.B. , Nithyaselvakumari S.
Published: April 2023

Aim: The Motive of this research is to analyze, compare ventricular Cardiac Arrhythmia (CA) classification using potassium channel (k+) parameters with Artificial Neural Network (ANN) and K-Nearest Neighbor (KNN) classifiers. Materials and Methods: D Noble Model For Human Ventricular Tissue (DNFHVT) is used for our classification. The DNFHVT is a mathematical model of action potential focusing on major ionic currents like K+,Na+ and Ca+.. Size of the sample was calculated by keeping threshold 0.05, G Power 80%, confidence interval 95% and enrolment ratio as 1. Number of samples considered is 20. These data are imported to KNN and ANN classifiers to find better accuracy among them. The accuracy of novel ANN and KNN classifiers for 20 samples is obtained by alternating the cross fold validation. These results will be imported to Statistical Package for the Social Science (SPSS) software to identify the overall accuracy for each classifier. Results: The results are obtained from SPSS for novel ANN and KNN classifiers. ANN shows accuracy of 13.14% with standard deviation (1.6800) and Standard error mean (0.3757). Similarly KNN produces an accuracy value of 7.19% with standard deviation (1.6902) and Standard error mean (0.377). Conclusion: As of the results, it clearly shows that ANN has better accuracy for classification than KNN.
Knowledge on blood pressure control among cardiac patients – a descriptive study
Authors: VIJAYALAKSHMI K.S. , SARTHI S.
Published: April 2023

This study focuses on cardiac patients’ knowledge of high blood pressure. Blood pressure (BP) beyond 140/90 mm Hg is considered to be hypertension. It is closely linked to unfavorable conditions like heart diseases, renal disease and vascular diseases. Since there will be 1.6 billion adults affected by hypertension globally by 2025, It is anticipated that the difficulties in managing hypertension and preventing the appearance of these latter consequences would persist. According to projections, cardiovascular disease would account for the majority of fatalities and disabilities in India, killing 2.6 million people by the year 200, or 54% of all cardiovascular deaths.
Analysis and Comparison of Naive Bayes Algorithm for Prediction of Cardiovascular Disease over Support Vector Machine Algorithm with Improved Precision
Authors: Gadde R. , Kumar N.S.
Published: April 2023

Aim: To find the best algorithm for the prediction of Novel Cardiovascular Disease Detection accurately, with fewer errors between Novel Naive Bayes and Support Vector Machine classifiers. Materials and Methods: Data collection containing various data points for predicting Novel Cardiovascular Disease Detection from UCI machine learning repository. Classification is performed by Naive Bayes classifier (N=20) over Support Vector Machine (N=20) total sample size calculation is done through clinical.com. The accuracy was calculated using Matlab software and the outputs are graphed using SPSS software. Results: Comparison of accuracy rate is done by independent sample test using SPSS software. There is a statistical indifference between the Naive Bayes algorithm and Support Vector Machine algorithm. Support Vector Machine algorithm (87.38%) showed better results in comparison to Novel Naive Bayes algorithm (75.13%). Conclusion: Support Vector Machine algorithm appears to give better accuracy than Naive Bayes algorithm for the prediction of Novel Cardiovascular Disease Detection.
A Pilot Study- The Impact of Health Education on Knowledge of Blood Pressure ControlIschaemic Heart Disease Patients
Authors: VIJAYALAKSHMI K.S. , SARTHI S.
Published: April 2023

Increased Blood Pressure is one of the main causes for ischemic heart disease, and effective management of Hypertension as a key to preventing both primary and secondary Ischemic heart disease. In primary prevention, keeping blood pressure at or below 140/90 mmHg is advised; in secondary prevention, levels of 130/85 mmHg were previously advised. In addition to acting alone to increase Ischemic heart disease (IHD) risk, hypertension also multiplies the likelihood of negative outcomes when it coexists with the other major IHD risk factors mentioned above. Numerous research and guideline recommendations had published over the past 20 years with the goals of explaining the pathophysiology of IHD, identifying an ideal blood pressure (BP) threshold at which to start pharmacotherapy, and defining the ideal pharmacologic components of a treatment plan. The goal blood pressure for IHD patients is generally agreed to be less than 140/90 mmHg. The prescribed pharmaceutical class (or classes) will vary depending on the coexisting conditions that each patient has. It is expected that 1.56 billion adults would have hypertension in 2025. In the South-East Asia region, hypertension claims the lives of up to 1500000 people per year; consequently, it is the world’s biggest cause of death (WHO). The study’s objective is to assess people who have ischemic heart disease (IHD awareness of blood pressure control). The pre-experimental research design for the project was authorized. Patients with ischemic heart disease (IHD) and stage I hypertension made up the study’s sample population. This pilot study’s findings demonstrate the effectiveness of lifestyle modification education on blood pressure control among patients with ischemic heart disease (IHD) who have primary hypertension in particular hospitals.
An Effective Approach to Detect Liver Disorder using KNN Algorithm in Comparison with Decision Tree Algorithm to Measure Accuracy
Authors: Zaheer M.M. , Nirmala P.
Published: April 2023

Aim: An effective approach to detect liver disorder using KNN algorithm in comparison with decision tree algorithm to measure accuracy. Methods and Materials: For identification of effective approaches to detect liver disorder, the KNN algorithm is used comparatively with the decision tree algorithm which is an existing algorithm. The number of samples used in each group is 20. Result: It is discovered that the K- nearest neighbor (KNN) algorithm gives better mean accuracy than the decision tree algorithm. Each sample has a distinct level of accuracy, with KNN algorithm having a maximum accuracy value of 95.75%, which is higher than the decision tree algorithm 93.40%. The statistical results show that the KNN algorithm and decision tree algorithms have distinct statistical significance levels of p=0.001, i.e., p<0.05 (independent sample T-test). Conclusion: On the basis of a liver disease investigation, it is obvious that the K- nearest neighbor algorithm has a higher mean accuracy value than the decision tree method. The KNN algorithm has a 94.30% mean accuracy rating, whereas decision Tree has a 91.36% rating.
Impact of Brand and Change in Habits of Customers Due to Coronavirus in the Home Appliance Industry of India
Authors: Chaudhry A. , Kulkarni A.
Published: April 2023

The Home Appliance industry is going through an unpredictable situation due to corona virus. Customers’ preferences are also changing from time to time. Authors have discussed various variables and their impact on the consumer purchasing decision and revealed how much brand influences the consumer compared to other factors while purchasing appliance products. Corona virus outbreak is continuously hitting the Indian economy and directly impacting the Appliance Industry. This research work also aims to address the change in consumer habits before and after corona virus. The convenience sampling method is used in this research to collect the sample data. The help of Quantitative methods does interpretation of research. From the end of December 2019, the COVID-19 pandemic began to spread around the world. Its spread harmed all sectors of the world, posing a new challenge to the Indian entrepreneurship ecosystem. It had an impact on the enterprise’s viability and growth. Entrepreneurs must deal with social isolation, working from home, travel restrictions, and a lockdown to prevent the corona virus spread. Some businesses have had to close temporarily, while others have had to conduct small-scale operations. As a result, innovators must be visible in all aspects of entrepreneurial endeavors. This epidemic’s carriers must be defeated. Businesses must find ways to survive and thrive.
Genotoxic and cytotoxic effects of thiomersal and paracetamol combination
Authors: Klepo Dženana , Maleškić Kapo Sanita , Mačkić-Đurović Mirela , Aganović-Mušinović Izeta , Burnazović-Ristić Lejla
Published: April 2023

Background: Thiomersal is used as a preservative of some vaccines or as a trace from the pathogen inactivation process in vaccine production. Prophylactic use of paracetamol upon vaccination is still common, even though paracetamol decreases immune response on some vaccines. Considering the cytotoxic and genotoxic potential of thiomersal and paracetamol and possible interaction in vivo, in vitro study was performed.
Methods: The genotoxic and cytotoxic effects of thiomersal and paracetamol combination were examined on human lymphocyte cultures by using two methods: analysis of chromosomal aberrations and cytokinesis-block micronucleus cytome assay. Blood samples of three healthy donors were analyzed with the following concentrations of tested substances: thiomersal 1 µg/ml and 0.5 µg/ml, paracetamol 20 µg/ml, thiomersal 0.5 µg/ml with paracetamol 20 µg/ml and thiomersal 1.0 µg/ml with paracetamol 20 µg/ml.
Results: The analysis of structural chromosomal aberrations was significantly increased in all treated cultures. In cells treated with the combination of thiomersal 1 µg/ml and 20 µg/ml of paracetamol, the number of aberrations was significantly decreased. Cytokinesis-block micronucleus cytome assay analyses showed significantly increased micronucleus frequency in lymphocytes cultivated with thiomersal 1 µg/ml compared to lymphocytes cultures exposed to thiomersal 0.5 µg/ml.
Conclusions: Induction of structural chromosome aberrations and micronucleus is shown as a sign of genotoxicity for the examined concentrations of thiomersal and paracetamol. The suppressing effect of paracetamol on thiomersal genotoxicity in lymphocytes culture treated with thiomersal was shown to be indicative of further examination of paracetamol use in the prevention of genotoxicity.
A review of interventional schizophrenia trials registered in clinical trials registry of India
Authors: Karve Ashwini V. , Dsilva Renita E.
Published: April 2023

Background: The current therapies for schizophrenia are targeted at reducing the severity of symptoms and they do not cure the disease. The research in this field is going on for many years. The present study was designed to access the current status of interventional studies conducted in schizophrenia based on studies registered in the CTRI.
Methods: Interventional studies for schizophrenia registered on CTRI from 2007 to May 2022 were reviewed and analysed, using the keyword “schizophrenia”. Parameters such as number of studies, year wise distribution of the studies registered, status of the studies at the time of analysis, types of study designs, randomization, blinding, geographical distribution, type of intervention.
Results: Out of 42952 studies registered with CTRI from 2007 to May 2022, 323 studies exclusively involved schizophrenia which accounts for only 0.75% of the total studies. 206 were interventional studies. Among the interventional studies 188 were randomized and 87 were blinded. Of all the interventional studies 141(68.4%) involved pharmacological interventions (Allopathy), 53 (25.7%) were non drug interventions, the rest were AYUSH. Of the 141 studies involving pharmacological interventions 28 were comparative studies with active control, 23 were addon studies, 14 were single arm efficacy and safety studies and 76 were BA/BE studies.
Conclusions: The study showed a rise in schizophrenia interventional study registries in the last 5 years. However, it highlighted the need to conduct more comparative studies with active control or efficacy and safety studies rather than BA/BE studies, in order to propose better alternatives to the existing therapy.
Effects of Salacia Oblonga on aluminium induced changes on membrane ATPases of various organs in Wistar albino rats
Authors: Nandhini Ashokan  , Divyashanthi Chellathambi Malathi  , Shanmugam Nathiya , Elango Dhivya
Published: April 2023

Background: Aluminium, one of the abundant elements present in nature enters human body through diet, food packaging material and medication. Aluminium can induce toxicity by causing oxidative damage and by altering the function of membrane bound ATPases, Salacia oblonga, a woody climbing plant with vast geographical distribution in India possess various biological functions. Previous studies have shown a protective effect of S. oblonga on Al induced visceral toxicity. Our aim is to evaluate the effect of S. oblonga extract on aluminium induced oxidative organ damage and haematological changes
Methods: The experimental animals, Wistar albino rats, were divided into four groups of 6 per group. The four groups are divided into distilled water, Aluminium chloride, Salacia oblonga extract and aluminium and Salacia oblonga. On 37th day animals were sacrificed and organs and blood were collected for assessment of ATPase activity, protein levels and haematological parameters.
Results: Salacia oblonga increased the ATPase activity in the brain, heart and lungs, improved the protein levels and haematological parameters which were deteriorated by Al toxicity. Though statistically insignificant S. oblonga improved the ATPase enzymes and haematological parameters.
Conclusions: Our study demonstrated that Aluminium causes membrane damage in various organs by altering the membrane ATPases level as a result of oxidative stress and altered the haematological parameters. We demonstrated that S. oblonga ameliorates Al induced membrane toxicity and also confers hemoprotective effect.
Evaluation of prescription pattern of antifungal drugs in the dermatology department of a tertiary care teaching hospital
Authors: Kalola Abhishek S. , Shah Shreya M. , Mistry Chirag B.
Published: April 2023

Background: In general, fungal infections are one of the contributors of disease burden in the community, but irrational use of antifungal drugs can result in unwanted adverse events or antifungal drugs resistance. The present study was designed to analyze the prescription pattern of antifungal drugs prescribed in the dermatology department of a tertiary care teaching hospital.
Methods: After getting permission from the ethics committee, this prospective observational cross-sectional study was conducted by analysis of prescriptions of 900 voluntary participant patients over a period of seven months in the dermatology outpatient department of a tertiary care teaching hospital in western India. Prescribed medicines’ parameters were analyzed as per WHO/INRUD prescription indicators.
Results: Overall 900 prescriptions were analyzed, and among them around 50% patients were having tinea corporis and tinea cruris, making it the most common fungal infection. The most commonly prescribed antifungals were Clotrimazole (34.59%), followed by Fluconazole (31.61%) and Luliconazole (23.52%). Percentage of drugs prescribed from the WHO model list of essential medicines was 71.22%. Average number of antifungal drugs per prescription was 2.83 ± 0.57%.
Conclusions: This study indicates prescribing practices of anti-fungal drugs and supportive medicines at tertiary care hospital that can be further improved by promoting prescribing by generic names. Overall final list of essential medicines at district level, state level and national level may vary as compared to the WHO list for anti-fungal drugs and doctors can consider alternative drugs as per domestic resistant pattern.
Evaluating the efficacy and safety of simple combination of analgesics with and without low dose opioid for perioperative analgesia, hemodynamic and recovery profile in various surgeries posted under general anaesthesia: a prospective randomised controlled study
Authors: Shaik Ayesha  , Aruna Kumari S.  , Jareena  , K. Lakshmana Rao
Published: April 2023

Background: Multimodal analgesia is an emerging technique.It has been consistently demonstrated to minimise opioid consumption, related side effects and vital component of enhanced recovery after surgery pathways. The current study presents use of combination of readily available medication as a part of multimodal analgesia. Balanced anaesthesia with multimodal analgesia is harmonious use of combination of agents to produce desired effects with minimal side effects of individual agents.
Methods: This study was done in a tertiary health care centre, Government General Hospital, Kakinada over a duration of two months from August 2022 to September 2022. 60 adult patients of either sex of physical status ASA grade 1and 2 undergoing elective surgery under general anaesthesia were randomly allocated into Group A and Group B of 30 patients. Group 1: received Inj. Lignocaine+Inj. Paracetamol+Inj. Magnesium sulphate+Inj. Fentanyl. Group 2:received Inj. Lignocaine+Inj. Paracetamol+Inj. Magnesium sulphate+Normal saline (control group) as premedication for perioperative analgesia.
Results: All patients were hemodynamically stable for first 30 minutes period of observation in Group A compared to Group B. There is clinically and statistically significant difference in the duration of analgesia in Group A compared to Group B. There is no statistically significant difference in the Numerical Rating Scale (NRS) for pain in both the groups.
Conclusions: This study concluded that simple analgesia combination of multimodal analgesia regimen comprising of Inj. Lignocaine, Inj. Paracetamol and Inj. Magnesium sulphate produces safe and effective analgesia with good recovery profiles and no adverse opioid related side effects for ASA 1 and 2 patients posted under general anaesthesia.