Volume 11 | Issue 7 |

 Abstract

Pneumonia is one of the most fatal diseases caused in the lungs. One cause the high cases of pneumonia is the lack of public understanding for early detection about this disease. In addition, the common symptoms caused by pneumonia are common things such as coughs, flu and fever so that people ignore it. Handling pneumonia is still difficult because there are many unforeseen risks resolved. One way that carried out to detect pneumonia, namely by taking X-rays chest, then the x-ray results are read by an expert. However, for getting the diagnosis results takes a long time because they have to adjust expert practice schedule. With the existence of a pneumonia classification system based on image can automatically assist medical staff in diagnosing pneumonia. Diagnosis involves chest x-ray images that are interpreted by a radiologist whereas diagnosis that assisted humans have their own limitations such as the availability of experts, costs, etc. In this review on pneumonia detection through chest x-ray images is conducted using deep learning models. However, researchers reviewed various models developed using the Deep Learning which enables researchers to understand and incept the techniques involved to detect pneumonia using deep learning for future research and practices.

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 Keywords

Pneumonia Detection, Deep Learning, Artificial Neural Networks, Convolutional Neural Networks

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This research paper explores the impact of smartphone addiction on mental health and academic performance. The prevalence of smartphone use has increased rapidly in recent years, leading to concerns about its potential negative effects. The paper begins with a literature review of previous research on smartphone addiction, defining the condition and summarizing its symptoms. The review also discusses previous studies on the relationship between smartphone use and mental health outcomes, such as anxiety, depression, or sleep disturbances, as well as academic performance, including grades, test scores, and engagement. The study then presents a methodology, including a research design, sampling method, data collection procedures, and data analysis techniques. The results section provides an overview of the data collected and analyzes the relationship between smartphone addiction and mental health and academics. The discussion section interprets the results, discusses implications for theory and practice, and addresses limitations and future research directions. The conclusion summarizes the study's findings and contributions to the field and offers recommendations for policymakers and practitioners. This research paper contributes to our understanding of the impact of smartphone addiction and provides important insights for researchers, educators, and mental health professionals.

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 Keywords

Smartphone addiction, mental health, academic performance

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Creative Commons Attribution 4.0 and The Open Definition

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Despite the advancements, a depressing statistic from the media environment of today shows that women with disabilities continue to be misrepresented and underrepresented, which hinders their empowerment and feeds prejudices. This study looks at how women with disabilities are now portrayed in Indian media. Despite recent improvements, the way that women with disabilities are portrayed in Indian media is still a cause for worry. According to the survey, these women are frequently underrepresented or misrepresented in news stories, television programs, movies, commercials, and internet platforms, which feeds preconceptions and prevents them from achieving empowerment. Even if there is considerable representation, it is still very low across a variety of genres, according to the examination of television series. Similar to this, there is a dearth of representation for women with disabilities in Indian movies, advertisements, and marketing initiatives. However, social media and internet platforms provide a substantially larger representation. The report lists difficulties that women with disabilities experience in the media sector, including a lack of chances, prejudice, and discrimination. In order to solve these issues, it highlights the significance of media activism, disability rights advocacy, and positive transformation. The ideas cover media organization tactics, working with disability rights groups, media professional sensitization initiatives, and governmental and regulatory measures. By putting these suggestions into practice, we can challenge preconceptions, depict disabled women more accurately and inclusively, and provide them valuable chances to participate in the media.

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 Keywords

Disability, Women, Identity, Media, Politics of Representation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

Remdesivir, First order derivative method, Method development, Validation

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Traditional and Modern Agriculture -Environmental Impact

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Traditional and Modern Agriculture -Environmental Impact

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A zoonotic orthopoxvirus called monkeypox unintentionally causes an illness in humans that is similar to smallpox, but with significantly lower mortality rates (1). Historically, the condition was thought to be uncommon and self-limiting, but the new isolated reports show different results. Human monkeypox cases have become more common and more widely distributed geographically in recent years. Therefore, there is a critical need to concentrate on developing surveillance capabilities that will yield useful data for creating suitable preventative, Operational readiness, and responsiveness (2). In this article, we reviewed the taxonomy, transmission of disease within animals and humans, diagnosis, treatment, and prevention of monkeypox. Monkeypox has been determined to pose substantial risks to humans, therefore risk management and community involvement during outbreaks are to be studied.

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 Keywords

Monkeypox, Monkeypox virus, Orthopoxvirus, zoonotic disease, MVA-BN, LC16, ACAM2000, Pre-exposure prophylaxis, post-exposure prophylaxis, Risk management, Lesion.

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Modern history is not only the story of human civilization and society that happened in the past , but according to historians, modern history is the description of continuous progress of human society through scientific analysis. Basically, through history lessons, students will look at the past in the context of the present and at the same time they will try build a more beautiful and possible future based on the present . But it is only through some collection of data or tradition that past event or past ways of living are not alive to us . That is why we trying to know the past through multiple or different scientific method and techniques, especially since the nineteenth century that effort continues today. That is what we call ' technology" in word. In this context , It is noteworthy that with the help of this type of technique or method called technology, the events that happened in recent past become alive again for the students, which is ideal and guiding for all students.

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: Human civilization, History, Technology, continuous progress.

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Breast cancer is cancer that develops from breast tissue which is the leading cause of death in India. More than one million new cases of breast cancer are diagnosed in the world every year. In India, more than 100,000 new cases of breast cancer are diagnosed every year with high mortality rate. The major reason for low survival rates of breast cancer in India is that the lack awareness about cancer and its treatment, which causes late detection. AIM:- To estimate the 5 year survival rate of women diagnosed with breast cancer and various factors influencing the survival rate of the women's diagnosed with breast cancer and to find the strength of association of the various variables of breast cancer with survival rate. This will be helpful for early detection and treatment actions, improve treatment and care proposals in the particular areas of health and health care. MATERIAL AND METHOD: - This study was conducted to find out the survival rate of women's diagnosed with breast cancer 5 years back. For this study survival rate was calculated of total 100 samples from august 2012 to Jan 2011 by using retrospective record based study design. These samples were selected by using Non-Probability consecutive sampling technique. STATISTICAAL ANALYSIS:- Descriptive statistics, Chi Square Test was used to find the association and statistical significance between each variable. RESULTS:-Results were found that total 65% of women's had their survival for 5 years, and 35% were death before 5 year. The 5 year survival rate was found 90%, 85%, 57.89% & 0% for stage I, II, III, & IV respectively. Also factors like origination of Ca breast, Tumor size, no of lymph node, level of metastasis, stage of cancer and surgery undergone had great impact on survival rate( p=<0.0001). CONCLUSION: - Although survival rate was dependent on the stage of cancer, there is need to raise awareness about early diagnosis and treatment, and continue with various studies that deepen the factor that favor more to improve survival, since professionals can become aware of the importance of caring out health education actions and offer conditions of care appropriate to the needs that may arise during the disease. Key Words: Survival Rate, Breast Cancer

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Survival Rate, Breast Cancer

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Heart disease is a major global health concern, accounting for a significant number of deaths annually. Early detection and accurate prediction of heart disease are crucial for effective management and treatment. Machine learning techniques, particularly classification methods, have shown promise in analyzing clinical data for heart disease detection. However, existing approaches have limitations in terms of data preprocessing, feature selection, and model optimization. In this paper, we propose a novel approach that combines hybrid brave-hunting optimization with a support vector machine (SVM)-coupled deep convolutional neural network (CNN) model for heart disease prediction. The hybrid optimization method enhances feature selection and model performance, while the deep CNN model leverages the power of neural networks for capturing complex relationships in the data. Our experimental results demonstrate the effectiveness of the proposed approach in accurately predicting heart disease. This research contributes to the development of a cost-effective and efficient decision support system for heart disease detection, potentially aiding in early intervention and improved patient outcomes.

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Heart disease prediction, Machine learning techniques, Deep Convolutional Neural Network (CNN)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: When all of a nation's citizens are treated fairly and have social and financial security, national progress is feasible. When appropriate education is not supplied, this equality and security cannot be guaranteed. This essay makes an effort to support the difficulties the tribal minority in West Bengal has in accessing education. It also makes an effort to concentrate on the tribal development areas suggested in NEP 2020. The interpretive method has made use of secondary data sources.

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 Keywords

Keywords: NEP 2020, Education Challenges, and Tribal Development

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Creative Commons Attribution 4.0 and The Open Definition