Volume 12 | Issue 2 |

 Abstract

Background: Mental health can be described as a healthy mind. Mental illness is a state of dysfunction in overall health of an individual. Misconception and stigma is closely related to mental illness since human civilization. Though the perception on mental health and mental illness keeps on changing but the misconception and stigma is still somewhere associated with it. The present study was undertaken to assess the misconception and stigma regarding mental illness among adults in a rural community of Sonapur, Kamrup (Metro), Assam. The study was aimed to assess misconception and stigma regarding mental illness and find out the association of misconception and stigma regarding mental illness and sociodemographic variables. Methods: Two hundred and seventy subjects were selected from six selected villages of Sonapur, Kamrup (metro), Assam, by using multistage sampling technique. Structured tool was developed to assess the misconception and stigma regarding mental illness among adults and the data were analyzed by using the software package, SPSS 20 version. Results: Majority of the adults i.e., 115 (42.6%) had moderate misconception regarding mental illness, 80 (29.6%) of the adults had low misconception and remaining 75 (27.8%) had high misconception regarding mental illness. With regard to subareas, highest misconception of the adults was observed in the recovery (Mean%=95.25) followed by symptoms (Mean%=92.75), causes (Mean%=75.45) and lowest misconception was recorded in treatment (Mean%=74.36). Majority of the adults i.e., 178 (65.9%) had moderate stigma regarding mental illness, 62 (23%) of the adults had low stigma and remaining 30 (11.1%) had high stigma regarding mental illness. With regard to subareas, highest stigma of the adults was observed in the vi prejudice (Mean%=66.58) followed by discrimination (Mean=64.08) and lowest stigma was recorded in stereotype (Mean=51.63). The calculated value of correlation coefficient, 'r' has found to be 0.653, P value <.001, which is significant at 0.001 level of significance, which signifies that there is a strong correlation between the misconception and stigma regarding mental illness among adults. Respondent's misconception regarding mental illness was insignificantly associated with all the sociodemographic variables i.e., age, sex, education, occupation, monthly family income, marital status, religion, type of family and family history of mental ilness. Respondent"s stigma regarding mental illness was also insignificantly associated with all the selected sociodemographic variables. Interpretation and Conclusion: The findings clearly suggest that majority of the adults had misconception and stigma on mental illness. Therefore appropriate measures should be adopted based on the need of the people in the community setting to eliminate the existing misconception thereby to remove stigma in order to bring a drastic change in the perception of people towards mental illness in the near future.

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"A study to assess the misconception and stigma regarding mental illness among adults in a rural community of Sonapur, Kamrup (Metro), Assam."

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Neurospora crassa is a type of red bread mold of the phylum ascomycota meaning "nerve spore" in Greek, refers to the characteristic striation on the spores. Neurospora crassa is use as a model organism because it is easy to grow and passed a haploid life cycle that makes genetic analysis of genetic recombinations is facilitate by the ordered arrangement of the products of meiosis in Neurospora ascospores. Orderly arrangement of tetrad is used in this present piece of work to know the position of different morphological characters and also used for physical mapping of genes such as spore color, sporangium size, etc.

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: Tetrad, morphological character, physical mapping

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Creative Commons Attribution 4.0 and The Open Definition

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Diabetes Mellitus, a chronic metabolic disorder, requires careful management of blood glucose levels (BGLs) to mitigate the risk of serious long-term complications. Despite the importance of traditional preventive measures like maintaining a healthy diet and regular exercise, many diabetic patients struggle to control their BGLs effectively. Proper insulin dosage plays a crucial role in managing this condition. Our project aims to leverage machine learning techniques to aid in diabetes prediction and insulin dosage estimation. We utilize the PIMA diabetes dataset and the UCI insulin dosage dataset for training our models. The Gradient Boosting Classifier is employed to predict the presence of diabetes, while the Linear Regression algorithm is used to estimate insulin dosage for diagnosed diabetic patients. Following training, we will assess the models' performance on a test dataset lacking class labels. The Gradient Boosting Classifier will identify diabetes cases, and for those diagnosed, the Linear Regression model will predict the appropriate insulin dosage. By integrating these predictive models, we aim to contribute to improved diabetes management strategies.

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Machine Learning, Gradient Boosting Classifier, Random Forest, Python programming, PIMA Diabetes dataset, UCI Insulin dosage dataset.

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Globalization, characterized by the interconnectedness of economies and the free flow of goods, services, and capital across borders, has brought about profound changes in the realm of collective bargaining and worker rights. This research paper aims to explore the multifaceted impact of globalization on these critical aspects of labor relations. By examining trends, challenges, and opportunities, the study seeks to provide a comprehensive analysis of the evolving landscape and its implications for workers worldwide.

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Globalization, Collective Bargaining, Worker Rights, Labour Relations, International Labour Standards

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To determine the level of pain among mothers undegone caesarean section in experimental group and control group...

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Introduction, objective, review of literature, methodology, result, discussion and conclusion

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In this Article findings from the analysis of data which was obtained through questionnaires are depicted on the burning issue of filing fake FIR/s & Complaints in Rape matters. For each variable and the findings presented in the table summarizes the collected data were analyses by descriptive and inferential statistical methods and their impact was discussed. The study aimed to collect data on the subject of the study from 300 respondents. Entirely 300 questionnaires were sent and all the sent questionnaire filled by the respondents, the response rate was 100 per cent.

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A Data Analysis of Public Perspectives: On Trend of False Accusation in Rape Cases

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Searching a suitable parking space in populated metropolitan city is extremely difficult for drivers. Serious traffic congestion may occur due to unavailable parking space. Automatic smart parking system is emerging field and attracted computer vision researchers to contribute in this arena of technology. In this paper, we have presented a vision based smart parking framework to assist the drivers in efficiently finding suitable parking slot and reserve it. Initially, we have segmented the parking area into blocks using calibration. Then, classify each block to identify car and intimate the driver about the status of parking either reserved or free. Potentially, the performance accuracy of recommended system is higher than state of the art hardware solutions, validating the supremacy of the proposed framework. Finding a parking space nowadays becomes an issue that is not to be neglected, it consumes time and energy. We have used computer vision techniques to infer the state of the parking lot given the data collected from the University of The Witwatersrand.

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: smart parking management; automatic parking; slot recognition; parking space detection; machine learning.

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Abstract:- ?????? ?? ?????? ??? ?? ??????????? ??? ??? ????? ????? ?? ????????? ?????? ???-???????? ??? ???? ???? ?? ????? ??? ????? ???? ??? ?????? ??? ?? ?? ?????? ?? ???????? ??? ??? ??? ??? ????? ??? ?? ??? ?? ??? ?? ???? ?????? ?? ??? ???? ??????? ??? ????? ??? ?? ???? ??????? ??? ?? ????? ?????? ??? ?? ?????? ???????? ???? ? ??? ??? ??????? ??? ??? ????? ????? ???? ??? ?????? ?? ?? ????? ??? ????? ?? ????? ????? ?? ?????? ???? ??? ????? ?????? ???? ????? ?? ??????? ??? ???? ?????? ???? ?? ??? ??????? ??? ?? ?????? ?? ???? ???? ??? ???? ?? ????? ????? ?? ????? ???? ???? ??????? ?? ?? ????? ?? ?????? ???? ??? ?? ??? ???? ????? ???????? ?? ??????? ??? ?????? ?????? ??? ?????? ???? ???? ???? ?? ????? ???? ???? ??? ??? ?? ??????? ?? '????? ???????' ?? ???? ???, ???? ????????? ???-??? ?????? ?? ????? ?????? ???? ???????? ?? ???? ?????? ?? ???-??? ?????? ?? ???? ?????? ??, ????? ?? ????? ?? ?????? ?????? ????? ??? ?? ?? ???? ????? ???????????? ?? ??? ????? ?????? ??? ???? ???????? ??? ?? ?? ????? 50 ?????? ??? ???? ???? ???? ?? ???-??? ????? ????????, ??????? ??????, ???? ??????, ???????, ??.??. ?? ???????? ?? ?????? ?? ????? ?????? ?????? ???? ?? ??? ??? ????? ?? ?? ????? ?? ??? ????? ?? ??? ??? ???????? ?? ???? ??????????????? ?? ?? ???????? ??? ????? ?? ???? ??? ??? ????? ?? ??????? ??? ???????? ??? ????? ?? ??? ??? ????? ?? ?????-????? ?????????? ?? ?????? ??? ???? ?? ??? ??? ??? ????? ??? ?? ?????? ???? ??? ?? 21???: ??? ?? ?? ??? ??? ????? ?????? ??? ?? ?????????? ????? ???? ??? ??, ???? ????? ?? ????? ???? ?????? ?? ????? ???? ?? ??? ??? ??????? ?? ???? ???? ?? ???????? ?? ???? ?? ?? ?? ????? ??????? ??? ?? ???? ???? ??? ?? ?? ??????? ??? ??? ????? ?????? ?? ?????? ???? ??? ????????? ?? ?? ????????? ?? ????? ?? ??? ??? ??? ????? ?? ?? ????? ????? ?? ????? ?? ?? ???? ?? ??? ?????? ?? ????? ???? ???? ????? ????? ?????? ?? ???????? ?? ?? ????

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- ????? ??????, ???????? ???????, ??????, ??????

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The human eye is the best organ that enables to see all around the environment. This eye may be compared to a camera in a sense that the image is created on the retinal of the eye; whereas in a traditional camera the image is formed on the film. The retinal is that the solely location where blood vessel can be directly captured. Retinal blood vessel is very important structures in retinal images. Automatic segmentation of the retinal blood vessel from retinal images would be a powerful and helpful tool for the medical diagnostics. So, the main purpose of the segmentation is to differentiate an object of the interest and the background from an image. This paper presents a general technique for segmenting out vascular structures in retinal images, and characterising the segmented blood vessels. Morphological preprocessing is used to emphasise linear structures such as vessels. Thresholding of the image is used to provide a segmented vascular mask. Frangi filters are used to enhance the blood vessel network prior to clustering. Most of the retinal blood vessel segmentation methodologies are evaluated on DRIVE and STARE databases. The proposed segmentation method is able to achieve comparable accuracy to other methods while being very close to the manual segmentation provided by the second observer in all datasets.

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Retinal blood vessels, Morphological preprocessing, Thresholding, Frangi filters

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The history of human rights dates all the way back to the beginning of time. The modern concept of human rights has developed over thousands of years. Human rights have existed for as long as mankind has, despite the fact that the term seems to have only recently emerged. Since the dawn of time, when man first lived in groups like families, clans, tribes, towns, or nations, human rights have existed in some form or another. They still exist now in the shape of a self-governing global community. 13 Human rights are the culmination of universal human principles that date back thousands of years, not just to the West or even the modern world.

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War captives, inherent, innate, unalienable, fundamental, human rights history, Indian perspective,

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Creative Commons Attribution 4.0 and The Open Definition