Volume 12 | Issue 5

 Abstract

Indian English literature reflects events in the outside world and paints an accurate picture of social reality. In an effort to raise awareness, Indian writers strive to capture the complexity of female emotions and behavior in their works. Contemporary writers use literature to reaffirm contemporary themes such as gender conflict, social injustice, and the perception of the professional world, among others. Among these Sudha Murty's Mahashweta is a heart touching book that raises awareness of leukoderma, a treatable white skin patch, among readers worldwide and addresses traditional socio-familial concerns. Dr. Anand doesn't advocate for his wife against society and her orthodox mother. Anupama rejects her husband in this novel and embraces her new life as an assistant professor and theater director for college students at Bombay which is her own passion. As a result of her education, oppression, strength and action, she portrays herself the real-life heroic role in 'Mahashweta'.

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Socio-familial, Tradition, Leukoderma, Oppression, Awareness.

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This study explores the sociological dimensions of women vegetable vendors contribute a significant role in the informal sector in building up a stronger economy. Street vending is a profession and the source of livelihood, which is the way of life for the millions of marginalized people in India. The sociological dimensions of women vegetable vendors, the research also focuses on their socio-economic status, daily challenges, and the cultural dynamics that shape their lives. This study draws on the in-depth interview of the research aims to analyze the socioeconomic status of women vegetable vendors, and understanding the economic conditions of these women their financial vulnerabilities and the sustainability of their livelihoods and to identify and document the daily challenges faced by women vegetable vendors in their work environments provide an in-depth understanding of the factors influencing their work and social interactions. For this purpose, primary data was collected from 100 respondents. Data was tabulated and analyzed with the help of statistical tools to achieve the objectives of the study.

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Keywords: Women Vegetable Vendors, Socio-economic Status, Vulnerable to Diseases and Gender Roles etc,,

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The Chlor-alkali industry discharges its effluent and solid waste containing mercury in to Rushikulya River contaminating the river water, estuary and Bay of Bengal. Estuarine fish was collected from the contaminated estuary and sold in the local market and at places nearby. The present piece of work was planned to study the impact of effluent waste discharged from a Chlor-alkali industry on the estuarine fish. Mercury contained effluent significantly affected the estuarine organisms like fishes, crab and prawn. Physico-chemical analysis of the water samples in 8 sites, one located in the effluent channel, and 7 other sites on the Rushikulya River, where the effluent joins the river and the estuary were carried out. Monthly variations of few parameters were studied in all the eight stations selected for the purpose. Two sites in the upstream of the river before the effluent joining point, second, the joining point of the effluent channel with the river. All the tested physico-chemical variables showed normal and natural seasonal variation based on selection of sites / stations in the contaminated area. The leached chemicals from the solid waste dump site had moderate impact on the physico-chemical variable at all stations prior to effluent joining point. The effluent significantly altered the phyco-chemical properties at the down stream / estuary. The effluent waste showed serious impact on estuarine fishes and because of the effluent waste discharge on this site, the breeding of marine fishes was serious affected. The impact became more serious because of mercury concentration in the environment. The other physico-chemical variable had no significant effect because of dilution factor. No significant relationship exists between residual mercury concentration in fish body with either body length or weight of the fish collected from the contaminated estuary. Residual mercury in fish body depends on the availability and retention time of the fishes at the contaminated site. Residual mercury availability was high during in estuarine fish body was high till 2015, low levels of residual mercury was found in the estuarine fishes. In contrast in 2015, low mercury residue was noted in few fishes and in many estuarine fishes residual mercury was not detected or recorded. Availability of residual mercury in brain, liver and muscle tissues of the contaminated estuarine fishes warrants attention.

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Chlor-alkali industry, effluent, Rushikulya River, Estuary, Estuarine fish.

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Over 1.42 billion people call India home, with 70% residing in rural regions. Every day, the number of people on Earth grows, and as this population grows, so does the need for energy. The Indian government's goal of achieving 175 GW through renewable energy resources is being pursued by the MNRE in collaboration with the NITI, Aayog. Increasing the amount of energy derived from renewable sources rather than traditional ones is crucial in the modern world. The most economical and practical energy sources come from renewable sources. Sustainable development and renewable energy are, therefore, closely related. Sustainable and eco-friendly, renewable energy sources are unconventional. Contemporary technology can be directly replaced by renewable energy technology. Renewable energy can help us replace fossil fuels with cleaner energy sources, saving more energy and benefiting the environment. The review study goes into great elaboration about India's use of renewable energy. Additionally, as the difficulties faced by other countries are comparable to India's, the policies and recommendations of the Indian government are examined in detail to support the development of renewable energy generation both domestically and internationally. The goal of this study barriers face adopting the renewable energy. The findings of the study will be helpful for academics, researchers, and policymakers.

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Renewable energy, Renewable energy barriers, Opportunities, Policy recommendations, and India

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The ocular in situ gel formulation of Naphazoline Hydrochloride, using novel polymers, offers a promising alternative to conventional eye drops. It provides improved bioavailability, sustained drug release, and enhanced patient compliance. Further clinical evaluations are recommended to confirm these findings and to fully establish the therapeutic potential of this innovative drug delivery system for ocular treatments. The physical examination of Naphazoline hydrochloride indicated that it is a white crystalline powder with an odorless and unpleasant taste. Naphazoline hydrochloride showed good solubility in methanol, ethanol, distilled water, phosphate buffer (pH 7.2), and 0.1 N NaOH, being freely soluble or soluble in each. However, it was just slightly soluble in chloroform but easily soluble in 0.1 N HCl. The moisture content of naphthalene hydrochloride was determined using Karl Fischer titration, which yielded 0.0494%. This implies a low moisture level, which is ideal for the compound's stability and quality. The FTIR spectrum of naphthalene hydrochloride revealed distinctive peaks that corresponded to the compound's numerous functional groups. These include peaks for aliphatic and aromatic C-H stretching, C-H bending, C-N stretching, and C-Cl stretching. To summarize, the produced in situ gel formulations show good physical features, drug content homogeneity, pH compatibility, gelling capability, and sustained drug release characteristics. These findings lay the groundwork for future preclinical and clinical research, with the potential to translate into therapeutic applications for a variety of medical diseases.

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Naphazoline Hydrochloride, Situ Gel, Novel Polymers, Oculer Drug Delivery System.

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The tumour microenvironment (TME) is essential for the advancement, spread, and resistance to therapy of cancer. The NF-?B pathway is a crucial regulatory mechanism in the tumour microenvironment (TME) that influences several biological processes, including as inflammation, immunity, cell proliferation, and survival. This abstract examines the complex connection between the tumour microenvironment (TME) and the nuclear factor kappa B (NF-?B) pathway, emphasizing their combined impact on cancer progression and treatment outcomes. The tumour microenvironment (TME) consists of a diverse range of cellular and non-cellular constituents, such as immune cells, fibroblasts, extracellular matrix, and signaling molecules. Together, these components form an intricate and interrelated system that facilitates the development of tumours. In this particular situation, the NF-?B pathway is often activated in an unusual way, leading to the creation of an inflammatory environment that supports the growth and survival of cancer cells. Persistent activation of NF-?B in cancer cells may trigger the activation of genes that promote angiogenesis, suppress apoptosis, and create an inflammatory milieu that supports tumour proliferation.Moreover, the interaction between cancer cells and the supporting elements of the tumour microenvironment (TME) via NF-?Bsignaling pathways might influence immunological responses, resulting in evasion and inhibition of the immune system. Tumour-associated macrophages (TAMs) and myeloid-derived suppressor cells (MDSCs), which are often found in the tumour microenvironment (TME), play a crucial role in boosting NF-?Bsignaling, hence influencing this process significantly. Consequently, they improve the settings that inhibit the immune system inside the microenvironment.Therapeutically, focusing on the NF-?B pathway offers a hopeful strategy to disrupt the supporting function of the tumour microenvironment (TME) in cancer development. Preclinical investigations have shown that NF-?Bsignaling inhibitors have the ability to decrease tumour development and enhance the effectiveness of conventional therapy. Due to the intricate structure of the tumour microenvironment (TME) and the many impacts of the nuclear factor kappa B (NF-?B), it is crucial to thoroughly evaluate possible adverse reactions and devise techniques to accurately target the route inside the TME. Gaining insight into the correlation between the tumour microenvironment (TME) and the NF-?B pathway is crucial for acquiring information about cancer biology and formulating efficient treatment approaches. The ongoing interaction between NF-?Bsignalling and the elements of the tumour microenvironment (TME) underscores the need for comprehensive approaches in cancer therapy that target both internal and external features of the tumour.

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Tumour proliferation, chronic inflammation, activation of NF-Kb pathway

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The tribal people of Jharkhand mainly depend on leafy vegetables (LVs) as part of their traditional meals. The majority of rural communities in Jharkhand rely on plants and their parts to meet their daily needs, which has led to the development of specialized knowledge regarding their use. This study investigates the traditional knowledge of the Oraon tribes in the Gumla district of Jharkhand regarding the variety and application of LVs in daily life. There are 37 distinct herbs, shrubs, climbers, weeds, and tiny trees that belong to several families that have been identified. The majority of these plants can be consumed raw or after being properly processed as vegetables or medications. However, it has been discovered that overexploitation, unsustainable harvesting for food and medicine, and a number of other biotic interferences, including as grazing, herbivory, and man-made fires, have reduced the diversity of LVs in Jharkhand. To satisfy demand in the future, these special LVs must be conserved and utilized effectively. In addition, more investigation is necessary regarding the nutritional benefits and medicinal potentials of LVs, providing traditional meals and herbal medicines a solid basis in research.

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Traditional knowledge, LVs, Nutrition, Medicine, Oraon tribe

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The integration of hand gesture recognition with Python and Arduino offers an innovative and interactive approach to control LEDs. This project explores the fusion of computer vision and microcontroller technology to enable users to manipulate lighting elements using simple hand movements. The abstract delves into the key components and methodologies involved in this exciting endeavour. The presentation begins with an introduction to the motivation behind the project, highlighting the growing interest in gesture-based interfaces for various applications. It then proceeds to explain the hardware setup, consisting of a webcam and an Arduino board and the software components, which encompass Python's OpenCV library for gesture recognition and Arduino's programming for LED control. The heart of the project lies in computer vision, where the webcam captures live video input. The OpenCV library processes this input, recognizing predefined hand gestures such as swipes, pinches, or specific hand positions. The recognized gestures are then translated into commands for the Arduino board, which controls the illumination of LEDs accordingly .The abstract further discusses the advantages of this approach, emphasizing its potential for user-friendly and intuitive control in various contexts, including home automation, interactive installations, and accessibility applications. Additionally, it explores the educational value of this project, serving as an engaging tool for learning about computer vision, Python programming, and microcontroller interfacing. In conclusion, the integration of hand gesture recognition with Python and Arduino presents an exciting and accessible avenue for controlling LEDs. This project offers an interactive and educational experience that showcases the synergy of computer vision and embedded systems, paving the way for creative and user-friendly applications in diverse fields. This project introduces an AI-based smart lighting system integrated with a camera for enhanced functionality. The system employs computer vision algorithms to analyze the surrounding environment and adjust the lighting conditions accordingly. The camera serves dual purposes by capturing real-time visual data and facilitating user interaction. The synergy of artificial intelligence and camera technology offers an innovative solution for adaptive and efficient lighting in various contexts.

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Iot, Led, Python, Sensor

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The microbiome in our gut is very important for many bodily functions and has been linked to the development of several diseases. Metabolic disorders like type 1 diabetes and hyperammonaemia have been linked to dysbiosis, which is an imbalance in the gut microbial population. The point of this study was to use bioinformatics to compare the gut microbiome makeup and functional profiles of people with type 1 diabetes and hyperammonaemia. Bioinformatics tools were used to check the metagenomic sequences for quality, identify taxonomic groups, and label their functions. Comparative studies were done to find out which taxa and functional pathways were more common or less common in the disease groups compared to the healthy controls. Taxonomic profiling showed that people with type 1 diabetes and hyperammonaemia had different microbial signatures than healthy controls. Lack of butyrate-producing bacteria like Faecal bacterium and Roseburia was seen in the type 1 diabetes group, while Proteobacteria and other pro-inflammatory taxa were more common. The hyperammonaemia group, on the other hand, had more urease-producing bacteria, such as Streptococcus and Staphylococcus. In both disease groups, functional annotation showed changes in metabolic pathways linked to the breakdown of carbohydrates and amino acids. This study shows the utility of bioinformatics approaches in elucidating the distinct gut microbiome signatures associated with type 1 diabetes and hyperammonaemia. The observed differences in microbial composition and functional profiles provide insights into the possible roles of the gut microbiome in the pathogenesis of these diseases. These results lay the groundwork for future research investigating the gut microbiome as a therapeutic target or diagnostic biomarker for metabolic disorders.

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Keywords: Gut microbiome, type 1 diabetes, hyperammonaemia, metagenomics, bioinformatics, taxonomic profiling, functional annotation, comparative analysis.

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Microplastics pollution has emerged as a pervasive / comprehensive environmental challenge, posing significant threats to aquatic ecosystems, wildlife, and human health. This abstract provides an overview of the sources, distribution, and adverse impacts of microplastics pollution in river systems. It emphasizes the urgent need for effective removal strategies to mitigate the escalating environmental and health risks associated with microplastics contamination. Various methodologies for microplastics removal from rivers are discussed, including physical, chemical, and biological approaches, each with distinct advantages and limitations. The abstract highlights the importance of considering factors such as efficiency, scalability, cost- effectiveness, and environmental sustainability when evaluating removal techniques. Furthermore, it underscores the interconnectedness of river ecosystems with larger marine environments, emphasizing the role of rivers as conduits / channels for microplastics transport. By prioritizing the development and implementation of innovative removal technologies, alongside comprehensive waste management and pollution prevention measures, this abstract advocates for a proactive approach to address microplastics pollution in rivers. Ultimately, concerted efforts from stakeholders across sectors are crucial to safeguarding freshwater resources and mitigating the broader impacts of microplastics contamination on global ecosystems and public health.

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Microplastics, Plastics, Plastics Removal, Membrane, Filtration, River Pollution.

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- By developing a cutting-edge web-based interview platform, the project "Hiring Flask-based AI Interview Analysis through Audio and Video Processing" seeks to transform the hiring procedure. With Flask serving as the foundation, the system incorporates AI to provide thorough interview analysis. During applicant interviews, OpenCV is used for video processing, with a focus on computer vision techniques to assess non-verbal clues, facial expressions, and other visual elements. PyAutoGUI is also used to offer automation capabilities, which could improve user experience and streamline the interview workflow. The project attempts to give a smart and effective tool for objective candidate assessment by combining Flask, OpenCV, and PyAutoGUI, providing a seamless and automated solution for the hiring business.This cutting-edge platform offers a strong foundation for AI-driven analysis of audio and video files, as well as user-friendly automation features made possible by PyAutoGUI. The project is a viable option for businesses looking to integrate automation technologies, artificial intelligence (AI), and Flask to streamline their employment processes because of its dual focus on cutting-edge technology and user convenience. Compared to conventional synchronous video interviews (SVIs), employment screening can be done more effectively withthe implementation of AI-based decision agents and asynchronous video interviews (AVIs). Nevertheless, no research has been done on the social effects of employing synchronization and AI decision agents in video interviews. This study used a unique experimental setup based on the theories of social interface and media richness, to compare job applicants' perceptions of fairness between the AVI setting and the AVI setting using an AI decision agent (AVI-AI), as well as human ratings and job applicants' response behaviors between the SVI and AVI settings. The 180 observations' worth of data showed that first impressions and physical appearance greatly influenced structured interview scores, even in cases when the video interview was not synchronous, and AVIs were less effective than SVIs.

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corrupted,illegal mining, spam aware,Interrupt occurrence.

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The present study explore that violence against women is the most pervasive yet under recognized social problem, not only in India but also throughout the world. It is present in every country, cutting across boundaries of culture, class, education and age. More significantly, with the increasing trend of urbanization the number of cases of violence against women has rapidly grown over the years. The sociological dimensions of Violence against Women in the present study an attempt is made to analyze the relationship between urbanization and increasing violence against women. The research also focuses on their Violence against women poses numerous challenges that impact women's physical, emotional, and social well-being. Some of the key problems faced by survivors of violence against women in Vijayapura District. The major casual factors for the violence against women have been discussed from sociological study. For this purpose, primary data was collected from 100 respondents. Data was tabulated and analyzed with the help of statistical tools to achieve the objectives of the study.

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Keywords: Violence against women, Dowry Death, Sexual Harassment, Physical, Emotional etc,,

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Economic stability is mediated by the financial sector. The expansion of the financial sector is critical to the country's development. It can be accomplished by offering financial services to every Indian citizen. RBI, the Ministry of Finance, and the Central Government putting effort over the past few years to promote equitable economic growth. The current analysis is mostly based on an overview of India's financial inclusion situation over the previous few years. The study emphasizes how the number of banking locations has increased and how popular the government of India's social security programs have become in recent years. Numerous reports from the Finance Ministry, RBI, IRDA, and NABARD have been examined in order to analyze these facts and numbers. A large portion of India's population has access to banking services thanks to financial inclusion, which is crucial for the socioeconomic growth of the lower income group. However, the government must take various actions to make them contribute to the growth of the economy in order to attain the desired level of outcomes and inclusive growth of various class of people.

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Government, financial inclusion, finance ministry, socioeconomic growth

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This study examines the concept of academic resilience among secondary students, focusing on their ability to persist and thrive despite facing significant academic challenges. Through including surveys, factors contributing to academic resilience are explored, such as self-efficacy, social support, and coping strategies. Findings suggest that fostering resilience among secondary students can enhance their academic success and overall well-being. Implications for educational practice and future research directions are discussed. This abstract highlights the significance of academic resilience in secondary students, emphasizing its role in overcoming obstacles and achieving success in education. It discusses the benefits of fostering resilience, including improved academic performance, enhanced mental well-being, and greater long-term success. Additionally, it explores the implications for educators and policymakers, emphasizing the need for targeted interventions and support systems to promote resilience among students. Overall, the abstract underscores the critical role of academic resilience in shaping positive educational outcomes and future opportunities for secondary students.

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Academic Resilience

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Abstract Cross-border tourism between North East India and Myanmar offers significant potential for economic growth, cultural exchange, and regional integration. However, this potential is hindered by several challenges, including infrastructure deficiencies, security concerns, visa and regulatory hurdles, and insufficient promotion. This article explores these challenges and examines the prospects for enhancing cross-border tourism. Through a review of secondary sources, the study identifies key strategies for overcoming these barriers and maximizing the benefits of tourism in the region. The findings highlight the importance of government initiatives, infrastructure development, and effective marketing in unlocking the potential of this tourism corridor.

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Keywords: Cross-border tourism, North East India, Myanmar.

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Brain tumors are a serious medical issue that require prompt and precise diagnosis in order to improve patient outcomes. The use of Convolutional Neural Networks (CNNs) to automate the identification of brain cancers from medical pictures, such as MRI scans, is investigated in this research study. The suggested CNN model is suited for this challenging task since it makes use of its capacity to learn complicated visual features and patterns. To train and assess the CNN, the research technique uses a large dataset of brain MRI scans, comprising both tumor and non-tumor cases. By using methods like dropout and batch normalization, the CNN architecture is intended to prevent overfitting and capture pertinent geographical information. With pre-trained CNN models, transfer learning is used to improve the model's performance even with a small amount of training data. The outcomes of our experiment show that the CNN can successfully categorize brain pictures, with excellent recall, precision, and F1-score values. The CNN model shows promise for practical clinical applications and demonstrates strong generalization to data that has never been seen before. This study lays the groundwork for the creation of automated systems for the detection of brain tumors, which may help doctors identify these tumors early and improve patient outcomes. Moreover, it underscores the importance of deep learning methods--more especially, CNNs--in the area of medical picture interpretation and their possible wider use in the medical industry.

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Brain Tumor, Image Processing, Artificial Networks, Convolutional Neural Network

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Acne vulgaris is a chronic inflammatory condition of skin in youth. In Ayurveda, acne has been elaborated as one of the Kshudra Rogas (minor ailments). It is manifested in adolescence thus called as Yuvanpidika or Tarunyapitika. Symptoms of Mukhadushika show close resemblance with bacterial infection and inflammatory factors of acne. According to Ayurveda, vitiation of Kaphadosha, Vata Dosha and Rakta Dhatu lead to acne development. Kapha vitiation may resemble with excess sebum production, Vata vitiation may resemble with hyperkeratinization and Rakta vitiation may resemble with inflammatory mediators in blood, play an important role in pathogenesis of acne. Both modern and Ayurvedic sciences have considered the use of topical as well as oral medications and their combinations for the treatment of acne. Modern medications provide relief from acne vulgaris but cause noticeable side effects. In Ayurveda, acne has been treated mainly by Shodhana (purification of body) and Shamana (conservative treatment) Chikitsa or combination of both. Though, several Ayurveda texts such as Sushruta Samhita, Ashtanga Hrudaya, etc., have elaborated the pathophysiology and treatment of acne, the available references are scattered. Thus, there is need of in-depth review and compilation of Ayurvedic texts and literatures. This review may be helpful in better understanding of comparative pathophysiology and management of acne vulgaris.

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Keywords: Acne vulgaris, Kshudra Roga, Yuvanpidika, Tarunyapitika, Mukhadushika.

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The Darknet, a portion of the deep web, has seen an increase in illegal activities such as drug trafficking, terrorism, extremism, and child pornography. Therefore, there is a pressing need for proper identification and classification of Darknet traffic. The purpose of this paper is to demonstrate that the random forest classifier is the most suitable algorithm for classifying dark- net traffic. This will be achieved by comparing its performance metrics with several other machine learning algorithms such as an Extra tree, AdaBoost, SVM, decision tree, etc., which were found to have the highest accuracy of 98.14%. Index Terms--Darknet, machine learning techniques, classification

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Darknet , feature selection , machine learning classifiers

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Food security is an important and strategic matter for a country. The food security of a region can be considered successful if the increase in food production and distribution runs smoothly and food consumption is safe and sufficient to meet the nutrition of the people. As the population increases, the amount of consumption will also increase so that the demand for the main food requirement of the Indonesian population, namely rice, will also increase. Bondowoso Regency is the district that has the largest Gross Regional Domestic Product (GRDP) from the agricultural sector. This research aims to determine the influence and interaction patterns of each actor in an effort to increase food security in Bondowoso Regency. The research method used is Mactor Analysis. The research results show that the actor with the highest influence is the Department of Agriculture and Food Security, while the actor with the highest dependency value is the Regional Government. Based on the results of the analysis of the goal of increasing food security, there are goals that have very strong ties, namely adequate food supply, the existence of a food assistance program from the government, sufficient food production, stable and affordable food prices for the community.

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Keywords: Food Security, Mactor, Availability, Affordability.

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Abstract In Government of responsibility like ours where all the agents of the public must be responsible for their conduct, there can be but a few secrets. The people of this country have a right to know every public act, everything that is done in a public way by the public functionaries...the responsibility of officials to explain or to justify their acts is the chief safeguard against oppression and corruption. Justice K.K. Mathew The object of the Right to Information Act, 2005 is to promote transparency and accountability in the working of every Public Authority and democracy requires an informed citizenry and transparency of information have been considered vital to the functioning of democracy and also to contain corruption. Which is play a very important role in the modern government system for good governance. Basically, the concept of Good-Governance is based on Indian philosophy "Sarve Bhavantu Sukhinah" and the Right to Information is an essential ingredient of Good Governance. The Right to Information is a fundamental right under the Constitution of India. It is therefore a part of Article 19(1)(a). The access to information is a human right proclaimed in December 1948, everyone has the right to freedom of opinion and expression; this right includes freedom to hold opinions without interference and to seek, receive and impart information and ideas through any media regardless of frontiers. This paper gives an overview about the Right to Information Act, 2005 and critically analysis Right to Information and its relationship with Good Governance in India.

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Keywords: Good Governance, Right to Information, Public Authority, Transparency

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