Volume 13 | Issue 6

 Abstract

The main focus of this study is to explore the transformative influence of social media on Indian companies, focusing on parameters such as brand awareness, sales growth, customer engagement, cost-effective marketing, employment opportunities, and reputation management. The research collects data from managerial professionals in financial and trading companies using structured questionnaires with a five-point Likert scale. Quantitative methods including correlation and regression analyses are applied to evaluate the relationships between social media adoption and corporate performance. The study identifies both the strategic benefits and challenges posed by social media platforms in a rapidly digitizing Indian economy

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Social media, Indian companies, brand awareness, customer engagement, digital marketing, reputation management, correlation analysis, regression analysis, ROI

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This research paper looks into how trauma shapes the identities of both heroes and villains in J.K. Rowling's Harry Potter series. It does a character analysis to see how personal pain and tough experiences affect a character's morals, decisions, and whether they end up good or evil. Key characters like Harry Potter, Severus Snape, Tom Riddle (Lord Voldemort), and Neville Longbottom are studied to show how similar experiences of loss or neglect can lead to very different paths--some become selfless heroes while others go down a dark road. The research draws on trauma theory and literary analysis, arguing that trauma is a key narrative driver rather than just a background for character growth. It examines how feelings like grief and abandonment shape identities and how support from others can change the effects of these experiences. This work also discusses "chosen resilience" compared to "learned cruelty," pointing out how some characters rise above their pain while others get overwhelmed by it. Additionally, the study explores the ethics of showing trauma in children's literature and how the series helps readers empathize with complex characters by giving a look into their struggles. By focusing on trauma as a shared experience that characters handle differently, the dissertation shows that heroism and villainy aren't just in their nature but are shaped by how they deal with pain. Overall, this research aims to better understand moral complexity and emotional depth in fantasy stories, noting that Rowling's take on trauma adds a lot to the psychological richness of the Harry Potter world.

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Trauma, pain, moral ambiguity, childhood trauma, grief, abandonment, identity crises, repressed emotions.

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ABSTRACT The role of conflict in diverse workgroups is explained and described through research, which also reveals how organization affects the relationship between diversity and conflict management. Individuals working in diverse workgroups that exhibit strong organizational behaviours may undergo role conflicts, interpersonal conflict and generation gaps. This may reduce the likelihood that diversity will lead to task conflict and will worsen the possibilities that diversity may guide to conflict management and handling approaches. The study illustrates the significance of analyzing diversity and adapting handling techniques to the scenario, as well as the presence of age, value, culture, and gender that may limit the conflict among the employees and increase the work performance. The present study is focused on diversity and workplace conflict in fertilizer industry.

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Keywords: Conflict, Diversity, Work Performance, Role Conflict, Interpersonal Conflict.

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In present situation in India some sex related major problems arise like early Pregnancy, unsafe abortions, STIS including HIV and sexual abuse and violence. But here sex education is one of the uncomfortable aspects of life that parents do not want to teach to their children but it is very important to present situation. When children grow up they need to learn and adapt to the psychological and biological changes. These changes are mostly occurred in the adolescence period. So, in this paper we want to know the view of teachers and adolescence students on implementation of Sex Education in their school curriculum. For this study we take 20 students and 15 teachers from each 2 rural and 1 urban govt. aided school as sample and we compare the knowledge, views, attitude about sex education of rural and urban area. . In this study, there are various suggestions about how sex education of women can help in social upliftment.

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Sex Education, Adolescence, Pregnancy, HIV, Sexual abuse.

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This project introduces a smart healthcare management system designed to simplify interactions between patients and doctors. It offers a seamless process for scheduling appointments, managing medical records, and engaging users through an AI-powered chatbot. The system is built on a full-stack framework that includes a userfriendly frontend developed with React, a robust backend using Node.js, and AI functionalities powered by Python. One of the standout features is its integration with blockchain technology, enabling secure and transparent appointment bookings via smart contracts. Additionally, it supports the upload and retrieval of medical history documents in PDF format and leverages machine learning algorithms for intelligent health insights. The backend ensures safe communication with features like automated email notifications, while the frontend delivers a smooth and intuitive user experience for both patients and healthcare professionals. By integrating the latest in web development, artificial intelligence, and decentralized technologies, this platform aims to improve the accessibility, efficiency, and overall quality of virtual healthcare services.

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Artificial Intelligence, Machine Learning, Smart Contracts, Blockchain in Healthcare, Appointment Management, Chatbot Integration, React.js, Node.js, Flask, Digital Health Records, Secure Medical Systems.

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Women and girls have been experiencing a lot of violence and harassment in public places in various cities, starting from stalking and leading to sexual harassment or sexual assault. This research paper basically focuses on the role of social media in promoting the safety of women in Indian cities with special reference to the role of social media websites and applications like X, Facebook and Instagram. This paper also focuses on how sense of responsibility on part of Indian society can be developed the common Indian people so that we should focus on the safety of women surrounding them. Tweets on X which usually contain images and text and also written messages and quotes which focus on the safety of women in Indian cities can be used to read a message among the Indian Youth Culture and educate people to take strict action and public those who harass the women. X handle which include hash tag messages that are widely spread across the whole globe sir as a platform for women to express their views about how they feel while we go out for work or travel in a public transport and what is the state of their mind when they are surrounded by unknown men and whether these women feel safe or not. Future research can enhance this work by employing advanced deep learning models for better sentiment detection, supporting multilingual analysis to cover regional perspectives, and developing real-time dashboards for law enforcement use. Integrating artificial intelligence with predictive analytics can further assist in forecasting potential safety risks and recommending preventive measures. In conclusion, this study underscores the importance of leveraging machine learning and social media analytics in assessing and improving women's safety in Indian cities. By analyzing public sentiment on social media, authorities can gain valuable insights into prevailing concerns and implement data-driven interventions. The findings contribute to the growing field of AI-driven public safety solutions and emphasize the need for continuous monitoring and policy enhancements to create safer urban environments for women in India.

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Sentiment Analysis, Women Safety, Sentiment Classification, Machine Learning

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Abstract: In today's digital communication era, protecting image data from unauthorized access and cyber threats is crucial. This project introduces a strong image encryption framework based on Super Encryption. It combines three effective cryptographic techniques: Chaos-based scrambling, AES (Advanced Encryption Standard), and RSA (Rivest-Shamir-Adleman) encryption. This layered approach ensures complete protection while maintaining both confidentiality and integrity of image data during transmission and storage.The first security layer uses a Chaos-based algorithm, specifically the Logistic Map, to create a highly sensitive pseudo-random key stream. This stream adds randomness by changing pixel positions and intensities, making it very hard to reverse without the right parameters. This step offers strong resistance to statistical analysis and brute-force attacks by disrupting the natural structure of the image.The second layer uses the AES-128 algorithm, a single key is used for the encryption. Operating in EAX mode, AES not only encrypts the chaos-scrambled image but also creates an authentication tag to ensure data integrity and detect tampering. This layer strengthens the encryption process by using multiple rounds of nonlinear transformations and key mixing.The final layer uses RSA algorithm to protect the AES session key and nonce. These are encrypted with the recipient's RSA public key, making sure that only the authorized party can decrypt and access the sensitive credentials. This guarantees a crytographic key exchange process, even over untrusted channels.The suggested hybrid encryption method, combining the unpredictability of Chaos, the efficiency of AES, and the secure key distribution of RSA, offers a solid solution for secure image handling. It is especially suitable for sensitive areas like medical imaging, surveillance, defense communication, and cloud storage, where data privacy and accuracy are essential.Experimental tests show that this system provides high security with little effect on image quality. The encrypted images seem statistically random, and recovery is impossible without the exact RSA keys, AES parameters, and Chaos initial conditions. The results confirm that this framework is a reliable and scalable method for current image encryption needs.

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Keywords- Image Encryption, Chaos Theory, AES, RSA, Super Encryption, Logistic Map, Hybrid Cryptography, Secure Image Transmission, Data Integrity, Confidentiality.

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The widespread proliferation of unethical and unprofessional practices, such as paid news, sensationalism, fake news, and partisan reporting, has put journalism's integrity in jeopardy. By putting propaganda and profit ahead of the truth, these practices not only undermine public confidence in the media but also jeopardize democratic accountability. Effective enforcement of ethical standards is hampered by the lack of jurisdiction over digital media and the restricted punitive powers of regulatory bodies such as the Press Council of India (PCI). This analysis emphasizes how urgently systemic changes are needed, such as more robust regulatory frameworks, media literacy initiatives, self-regulation, and openness in media ownership. It also demands that the public consume media responsibly and that ethical journalists have legal protections. Journalism runs the risk of being compromised and losing its function as a watchdog for democracy if decisive action is not taken. The way forward necessitates cooperation between citizens, media outlets, and regulators in order to restore credibility and preserve the fundamentals of ethical journalism.

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Unethical journalism, paid news, media regulation, fake news, Press Council of India, media accountability, sensationalism.

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Market deregulation and globalization have caused competitive situations across a range of industries to constantly change, which has resulted in a rise in customer attrition. In order to maintain business development and keep their client base, organizations must effectively anticipate and mitigation of customer churns. This study explores the use of machine learning techniques in the Power Bi tool to anticipate client turnover. Emphasis is placed on the incorporation of these features, while focusing on well-known industries like telecommunication, employee churn for developing a predictive model, and features capturing customer social interaction and communications graphs and customer feedback are highlighted in the review. The findings encourage the use of profit-based evaluation criteria to increase profitability, improve customer retention, and support decision-making. Additionally, they draw attention to the dearth of studies on the profitability aspect of churn prediction models. In order to promote further advancements, the research concludes with recommendations that support the usage of ensembles, machine learning techniques, interaction visualization data utilizing Power BI, and explainable methodology. Churn prediction, which identifies customers who are likely to leave for a rival, has become the most important Business Intelligence (BI) application as a result. The purpose of this study is to provide widely used data mining approaches for identifying potential churning customers. These techniques look for patterns in past data that may point to potential churners.

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Churn, Customer Retention, Classification ,Machine Learning, Ensemble

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Birds or Aves are a group of animals having a developed backbone which evolved from dinosaur. The Birds would be more precisely and scientifically defined as a group of warm-blooded animals having vertebrate column more related to reptile than mammals and they are possessing four chambered heart with forelimbs modified to wings, with lower developed sense of smell and keen vision with limited auditory range and they mostly reproduce by sexual means and by laying eggs. At present there are about 10,400 living species of bird each one is unique in having feathers, which is the major characteristic that distinguish them from all other animals. More than 1,000 bird species have been identified to be extinct and the number is increasing rapidly. Since earliest times, birds have been not only a animal category or a material but also a cultural resource where most have been divided and further re-divided by various means depending upon various features such as color, wings, modifications and habitat. At present, there are various species of bird which are at their edge of extinction and as of the newer generation getting low natural contact it become hard to identify a species for them. So, this study has come up with idea of a real time method called Bird Species Identification System. The method uses machine learning technique to create a model based on transfer learning system and implementing it as a web base application using Stream-lit. The method provides nearly 95 % accuracy for the 400 classes of birds. Thus, this study will favor machine learning based image classification unit with fair user interface which greatly involves in development of teaching, learning and visualizing process with Bird species recognition and obviously, the system will be capable to resolve the future challenges that may arise in that regards with Bird species identification and classification.

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Artificial Neural Network, Convolutions Neural Network, Transfer learning, Kaggle dataset, VGG16, ImageNet.

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Outlines a strategic initiative aimed at addressing the pressing issue of air pollution in the capital city. This project adopts a holistic and sustainable approach, integrating innovative solutions to ensure long-term environmental well-being. Key focus areas include air quality improvement, health impact reduction, and the promotion of eco-friendly practices. The abstract provides a succinct overview of the project's objectives, methodologies, and anticipated outcomes in fostering a cleaner and healthier living environment for Delhi's residents.

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Sustainable, Fostering, Environment, Delhi etc

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The present study examines the Total Quality management (TQM) in the academic libraries, It is considered as the indispensable tool in an organization in the globization marked by scientific thought and technological innovations. As we know that libraries form an essential part of an education system. For survival of an organization/institutions in the present competitive world quality plays a vital role. The product or services provided by an organization satisfy its patrons/customers. While buying a product customers have certain expectation about the product and services. If product and services meets or exceed these expectations from time to time, this will be called as quality products and services. Cost reduction, productivity, team work, communication, problem solving are some of the dynamic skills which are necessary for quality revolution.

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Total Quality Management (TQM), Quality Services, TQM in Libraries, Customer focus, Academic libraries, Benefits of TQM

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Decolonizing Feminine Sexuality: Angela Carter's 'The Bloody Chamber' as a Postcolonial Feminist Text" Angela Carter's "The Bloody Chamber" is a seminal work of postcolonial feminist literature that decolonizes feminine sexuality by subverting centuries-old patriarchal and imperialist narratives. Through her Gothic retellings of classic fairy tales like Bluebeard and Beauty and the Beast, Carter exposes the intertwined legacies of; Imperialism's eroticization of colonized female bodies, reducing them to exotic objects of desire Patriarchy's domination of women's sexuality,enforcing silence, shame, and submission Racism's erasure of marginalized female voices, marginalizing their experiences and desires Carter reclaims feminine sexuality as a powerful force of mresistance, autonomy, and self- definition,empowering her female protagonists to wield desire as a weapon against oppressors. By doing so, "The Bloody Chamber" challenges traditional notions of female passivity, redefining feminine sexuality as active, assertive, and liberated.

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Angela carter, feminine,sex, bloody, chamber

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This paper explores the integration of innovative technological applications within modern libraries, highlighting how emerging tools such as artificial intelligence, virtual reality, and cloud computing are transforming library services and user experiences. It examines the benefits of these technologies in enhancing access to information, streamlining operations, and fostering engagement among diverse user groups. Additionally, the paper discusses challenges related to implementation, digital literacy, and digital divide issues, offering strategic insights for librarians and stakeholders aiming to leverage technological innovations for more dynamic, accessible, and efficient library environments.

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Artificial Intelligence (AI), Virtual Reality (VR), and Cloud computing, Digital Accessibility, Audiobooks, Assistive technologies.

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Abstract :- Organ and Body donation play a vital role in saving lives and advancing medical research. Despite the medical advancements and the growing need for donors, the rate of donation remain low in many regions, largely due to a lack of public awareness, cultural misconceptions, and ethical concerns. This paper examines the current state of public awareness regarding organ and body donation, explores the factors influencing attitudes toward donation, and provides recommendations for improving outreach and education. Organ and body donation are vital to the functioning of healthcare systems and medical education. Organ donation has the potential to save or dramatically improve the lives of individuals suffering from end-stage organ failure, while body donation contributes significantly to medical research, surgical training, and the education of future healthcare professionals. Despite this importance, there remains a critical shortage of donors worldwide. This shortage is not solely due to medical or logistical limitations but is heavily influenced by public awareness, attitudes and cultural perceptions surrounding donation. This study explores the level of public awareness and understanding of organ and body donation, identifies key socio-cultural, religious and psychological factors influencing individual attitudes and assesses the effectiveness of current public education efforts. Using a mixed-methods approach, the research gathered data through surveys and interviews conducted across diverse demographic groups. The results reveal that while general awareness of organ donation is relatively high, detailed knowledge about the registration process, eligibility and the impact of donation remains limited. Awareness and willingness to donate one's body to science were found to be significantly lower, often hindered by cultural taboos, religious misconceptions, and emotional discomfort. The findings highlight the need for comprehensive, culturally tailored public education campaigns that address specific fears, dispel myths, and provide clear information about donation procedures. Additionally, engaging community leaders, religious authorities, and media platforms can enhance trust and promote positive behavioral change. The paper concludes that improving public awareness is a critical step toward increasing donor registration rates and supporting ethical medical advancement through organ and body donation.

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Public Awareness, Organ and Body Donation

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Endometrial hyperplasia (EH), a precursor to endometrial cancer, manifests as abnormal uterine bleeding (AUB) characterized by irregular cycles, heavy menstrual flow, and prolonged bleeding. This review evaluates Ayurvedic interventions for managing EH, focusing on their efficacy, treatment protocols, and outcomes. The review consolidates data from multiple case studies, highlighting the use of Ayurvedic formulations, including Pushyanuga Churna, Dashmool Kwatha, Ashokarishta, and Chandanasava. Treatments incorporated internal medications, external therapies like Basti (medicated enemas), and vaginal applications. Across cases, significant reductions in endometrial thickness (from 9.1-20.1 mm pre-treatment to 3.7-7 mm post-treatment) were observed. Patients experienced normalization of menstrual cycles, reduced bleeding (e.g., from 12 pads/day to 2-3 pads/day), and alleviation of associated symptoms such as pain and fatigue. Therapy durations ranged from 1 to 16 months, with consistent improvement in both structural and symptomatic aspects of EH. These findings underscore the effectiveness and safety of Ayurvedic treatments in reversing hyperplasia and improving quality of life, emphasizing a holistic approach that combines internal and external therapies.

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Asrugdara, Endometrial hyperplasia, AUB, Ayurveda.

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The eye is a delicate organ with low permeability, short precorneal residence time, and small area for absorption, which poses significant barriers to drug delivery. Traditional ocular delivery systems are constrained by tear and blinking, leading to blurred vision and untimed release events. In situ ophthalmic gels have been developed to overcome these challenges, allowing sustained drug release at the target site. These gels are in solution form before administration and convert to a gel under physiological conditions. This review discusses the anatomy and physiology of the eye, challenges of ocular drug delivery, types of in situ gelling systems, mechanisms of gel formation, types of smart polymers, and methods for evaluating polymeric in situ gels. The study aims to optimize self-assembled nanomicelles incorporating latanoprost (LAT), an anti-glaucoma drug, using a two-level, two-factor full factorial design. The nanomicelles have a spherical morphology and a 77.5% encapsulation efficiency, demonstrating sustained LAT release over 12 hours. In normotensive rabbits, the nanomicelles reduced IOP by up to 40% for three days, significantly longer than the IOP-lowering efficacy of XALATAN eye drops. These findings suggest that self-assembled nanomicelles can enhance ocular bioavailability and extend the therapeutic duration of LAT while providing physical stability.

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Intraocular pressure, Occular drug delivery, BCS class II drug, Nanomicelles, Soluplus, Particle size distribution, in situ gel, sol-gel transition, smart polymers, sustained release

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In homoeopathy concomitant symptoms are those that accompany the chief complaint or main symptoms of patient, mental symptoms as concomitants refer to the emotional or psychological symptoms that occur alongside physical symptoms in acute condition. Mental symptoms play a crucial role in the diagnosis and treatment of acute conditions. This study highlights the significance of considering mental symptoms as a concomitant in acute care, where physical symptoms often dominate the clinical picture. By analyzing case studies and clinical experiences, this research demonstrates how mental symptoms can guide the selection of homoeopathic remedies, leading to more effective and holistic treatment outcomes. The importance of mental symptoms in acute conditions is discussed in the context of homoeopathic principles and practices.

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Concomitant Symptoms, Acute Condition, Mental Symptoms

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This study examines students' attitudes towards studies, perceptions of education, and demographic differences, focusing on rural and urban students as well as gender disparities. Findings indicate that rural students generally show higher enjoyment and commitment to their studies compared to urban students, who face distractions that hinder engagement. Gender differences reveal that female students exhibit a stronger desire for academic success, while male students often adopt a more relaxed attitude. Negative attitudes towards education are prevalent, with many students feeling disconnected from academic materials and viewing libraries as unappealing resources. Disparities between government and private school students highlight the need for increased investment in government schools. To address these challenges, the study advocates for a holistic approach that balances academics with extracurricular activities, fosters supportive learning environments and implements mentorship programs. Understanding diverse student perspectives is essential for creating an educational environment that values academic achievement and empowers students.

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Students' attitudes, education, rural vs. urban, gender differences, academic engagement, negative perceptions, government schools, mentorship programs.

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This paper presents the design and implementation of a universal chatbot system that supports both voice and text interactions within a single platform. The chatbot enables users to communicate naturally by typing or speaking, allowing a seamless switch between input modes without disrupting the conversation flow. The system leverages speech recognition to convert voice input into text and uses text-to-speech technology to deliver spoken responses. Natural Language Processing (NLP) techniques are applied to understand user input and generate appropriate replies using a trained machine learning model based on the Multinomial Naive Bayes algorithm. Developed using Python and Flask, the system includes a lightweight web interface for real-time interaction. This enhances accessibility and usability, particularly in hands-free communication scenarios. The project aims to improve human-computer interaction by offering a flexible, responsive, and user-friendly environment.

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Natural Language Processing (NLP), Chatbot, Voice Interaction, Text Input, Speech Recognition, Text-to-Speech, Multinomial Naive Bayes.

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