Volume 12 | Issue 10 |

 Abstract

ABSTRACT Women strengthening has turned into the popular expression today with ladies working close by men in all circles. Whether they work outside or live inside their home, they claim to be independent. They are taking more and more control of their lives and making their own choices about their education, careers, lifestyle, and profession. They have gained financial independence as the number of working women has steadily increased, giving them the confidence to build their own identities and lead their own lives. They are proving that they are unrivaled in any way by successfully pursuing a variety of careers. Women, on the other hand, make it a point to maintain a healthy balance between their commitment to their careers and to their families. With remarkable ease and harmony, they are juggling their roles as a wife, mother, sister, working professional, and daughter. With equal employment opportunities, they are cooperating with one another in a spirit of teamwork to assist their male counterparts in meeting professional deadlines and goals. Women's empowerment isn't just for working-class women in cities; women in rural towns and villages are increasingly making their voices heard in society. They no longer want to follow in the footsteps of their male counterparts.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women Empowered, Women entrepreneurship, women developments

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Creative Commons Attribution 4.0 and The Open Definition

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The detection of violent behavior in large gatherings is a critical challenge for ensuring public safety. This study presents the development and implementation of an advanced artificial intelligence (AI) system designed to identify instances of violence in real-time within crowded environments. Leveraging state-of-the-art deep learning techniques, our approach combines convolutional neural networks (CNNs) for spatial feature extraction and long short-term memory (LSTM) networks for temporal pattern recognition. The proposed system is trained on a diverse dataset comprising annotated video footage from various public events, including protests, concerts, and sports events. To enhance the robustness and accuracy of the model, data augmentation techniques and transfer learning from pre-trained models are employed, addressing challenges such as occlusion, varying illumination, and the dynamic nature of crowds. The primary objective of this research is to predict the level of warning for potential violent behavior, enabling timely intervention and thereby significantly enhancing public safety in large gatherings.

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This system will only identify violent behavior in areas under CCTV surveillance.

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Creative Commons Attribution 4.0 and The Open Definition

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In order to facilitate and enable communication amongst individuals, social media are web-based communication platforms that allow users to share and consume information. When internet access became affordable for the average person in the early 1990s, the realm of online social networking truly took off. There are now more types of social media than ever before, and individuals use them for all sorts of reasons. The distinctions between feature sets are becoming increasingly blurry as the number of feature rich networks increases, outpacing the amount of time most individuals have to read and comprehend the updates. Working women, like other victims, are reaping the rewards while dealing with an equal number of issues. This research aims to examine the challenges that working women encounter while trying to use social media.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social media, Working Women, Sharing and Consuming Information.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper explores the role of imagination in the select Pre-Raphaelite poems of Dante Gabriel Rossetti, examining how his work aligns with the concept of imagination as defined by S.T. Coleridge. By analyzing key major and minor poems, including "The Blessed Damozel", "The Stream's Secret", and "Eden Bower", this paper seeks to understand Dante's poetic mechanisms, symbolic use of imagery, and the broader implications of his imaginative vision. The paper argues that Dante's works reflect a fusion of emotional intensity and symbolic depth, exploring human relationships, spirituality, and the tension between reality and the transcendent.

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 Keywords

Imagination, Dante Gabriel Rossetti, Pre-Raphaelite Poetry, Symbolism, S.T. Coleridge, Victorian Literature

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Creative Commons Attribution 4.0 and The Open Definition

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The insurance sector in Bharat is experiencing a crucial phase in the 21st century, characterized by notable growth opportunities alongside emerging challenges. This article examines the evolution of the industry from a government-dominated framework to a competitive marketplace filled with private players and innovative offerings. Major growth drivers include the rising middle class, enhanced financial literacy, and technological advancements that improve consumer engagement and optimize operations. Nonetheless, the sector also grapples with issues such as low insurance penetration--especially in rural areas--consumer distrust, and a complicated regulatory landscape. The interaction of these elements is vital for stakeholders seeking to capitalize on the potential of the Bharatn insurance market. By effectively addressing these dynamics, the insurance sector can boost its growth prospects and significantly contribute to the financial security of millions of families across the country. This article delivers a comprehensive analysis of the opportunities and challenges that will define the future of Bharat's insurance industry.

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Creative Commons Attribution 4.0 and The Open Definition

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Insurance sector, Bharat, growth opportunities, challenges, financial literacy, technological advancements, regulatory environment, market evolution.

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Creative Commons Attribution 4.0 and The Open Definition

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Nerium oleander is a medical plant, used for the treatment of cancer. Nerium oleander is an important medical plant in Indian folk medicine. It is a potentially lethal plant in many cases and poisoning is reported in tropical and subtropical parts of the world as well a number of suicidal cases are also common in south Asian nations, particularly in Sri Lanka and India. All parts of the plant are toxic and contain variety of cardiac glycosides which includes Neriine, Oleander, cardenolides, gentiobiosyl and odoroside. The plant species also produce secondary metabolites such as alkaloids, flavonoids and steroids which have pharmacological applications. Antibacterial, anthelmintic, anti-inflammatory, hepatoprotective, immunopotential, anti-pyretic, antioxidant, antifungal, anticancer, and anti-HIV properties are among the significant pharmacological activities. This review describes the evidence - based information regarding pharmacological activity as well as phytochemical of this plant.

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Nerium oleander, Toxicity, Anti -bacterial, Antioxidant, Anthelmintic.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Uncontrolled expansion of human interference in the forest area for urbanization, illegal mining, smuggling, and poaching activities continuously threatens the ecological balance and bio-diversity which may affect human existence in the future. Wildlife crime encompasses a range of illegal activities that harm animals and their natural habitats, often driven by profit and demand. These crimes include poaching, illegal wildlife trade, habitat destruction, and the use of illegal wildlife products in the market. Digital technology is crucial in combating these crimes by enhancing monitoring, enforcement, and awareness. There exists an urgent need for driving attention toward controlling wildlife crimes to maintain ecological balance with the help of advanced technologies. The present article focuses on the detailed outlook of various types of wildlife crimes and how digital technology can help control them.

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Digitization, Digital Technology, Digital application, Digital Solution, Wildlife Tourism, Wildlife Crime.

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Creative Commons Attribution 4.0 and The Open Definition

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Cancer is a complicated illness that is impacted by environmental and hereditary variables. For many malignancies, inherited genetic alterations are a major contributing factor. Comprehending the hereditary foundation of cancer vulnerability is essential for timely identification, avoidance, and customized care. The goal of this research is to create a reliable method for identifying genetically inherited cancer in people. We are able to determine a person's predisposition to certain types of cancer by looking at particular genes.

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Creative Commons Attribution 4.0 and The Open Definition

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Genetic Inherited Cancer, Heredity Cancer, Machine Learning, Deep Learning

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Creative Commons Attribution 4.0 and The Open Definition

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Hospitals are the most widely used means by which a sick person gets medical check-ups, disease diagnosis and treatment recommendation. This has been a practice by almost all the people over the world. People consider it as the most reliable means to check their health status. The proposed system is to create an alternative to this conventional method of visiting a hospital and making an appointment with a doctor to get diagnosis. This research intends to apply the concepts of natural language processing and machine learning to create a chatbot application. People can interact with the chatbot just like they do with another human and through a series of queries, chatbot will identify the symptoms of the user and thereby, predicts the disease and recommends treatment. This system can be of great use to people in conducting daily check-ups, makes people aware of their health status and encourages people to make proper measures to remain healthy. The ability to accurately predict and diagnose diseases based on patient-reported symptoms is a longstanding challenge in healthcare. Recent advancements in natural language processing (NLP) present new opportunities to leverage the rich clinical information contained in unstructured patient communications. In this study, we developed and validated the Health Guardian platform, an NLP-powered disease prediction system that analyzes free-text patient descriptions to provide real-time risk assessments and clinical decision support. Our results demonstrate the potential of this approach to enhance early detection, optimize treatment pathways, and improve health outcomes. Our research demonstrates the system's ability to identify patterns and correlations in medical narratives, potentially revolutionizing preventive care and clinical decision-making.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Disease Prediction, Retrieval-based Algorithm , NLP.

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Creative Commons Attribution 4.0 and The Open Definition

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The study explores the relationship between adaptability and the psychological well-being of private school teachers in Bangalore, focusing on how their ability to manage challenging situations, such as high expectations, technological advancements, and diverse classroom needs, impacts their mental health. Using a mixed-methods approach, the research incorporates quantitative data derived from the Ryff Scales of Psychological Well-Being and qualitative insights gathered through a questionnaire administered to 52 teachers. The findings reveal that adaptability is a crucial determinant of psychological well-being, with higher adaptability linked to enhanced Personal Growth, SelfAcceptance, and Autonomy. However, teachers reported lower Environmental Mastery, suggesting that external challenges, such as workload and technological integration, contribute to a diminished sense of control. Professional growth emerged as a key coping mechanism, with teachers who continuously update their skills demonstrating better psychological outcomes. The study concludes with recommendations for schools to invest in professional development, provide technological training, and create support systems to foster adaptability and improve teacher well-being. The findings offer important insights for policymakers and educational institutions aiming to support teacher mental health in increasingly complex educational environments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Adaptability, Psychological Well-being, Private School Teachers, Bangalore, Ryff Scales, Personal Growth, Environmental Mastery, Technological Stress, Professional Development

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Creative Commons Attribution 4.0 and The Open Definition