Volume 13 | Issue 4 |

 Abstract

AIDS stand for acquired immune deficiency syndrome. It is a disease of the human immune system caused by Human Immunodeficiency Virus AIDS was first report in the United State in 1981 and the HIV virus isolated in 1983.AIDS is the most advanced state of HIV infection A study was conducted using quantitative research approach, descriptive research design at Era College of Nursing, Hayat Institute of Nursing, Bora Institute of Nursing. The total sample size was 150 samples selected by convenience sampling technique. The data was collected by administering structured knowledge questionnaire. Finding related to assessment of knowledge on HIV/AIDS and its prevention among ANM 2nd year students, study finding reveals-26.7% ANM 2nd year students having adequate knowledge regarding HIV/AIDS and its prevention.73.3% ANM 2nd year students having inadequate knowledge regarding HIV/AIDS and its prevention.

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 Keywords

S.NO. ABBREVIATIONS EXPANDED FORM 1 AIDS Acquired Immune Deficiency Syndrome 2 HIV Human immunodeficiency Virus 3 ART Antiretroviral Therapy 4 ARV Antiretroviral 5 FSW Female Sex Worker 6 > Greater than 7 < Less than 8 STI/STD Sexually Transmitted Infection/Sexually Transmitted Disease 9 % Percentage 10 N Number of subjects 11 S.D. Standard Deviation 12 R Reliability 13 S Significant 14 ANM Auxiliary Nurse and Midwife

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project introduces a Smart Shoe system paired with a Pocket Device that enables offline voice-based interaction using the ESP32 Dev Module. It incorporates wake word recognition via TensorFlow Lite Micro, local command processing using ESP-SR, and voice feedback through ESP-TTS, with audio delivered over Bluetooth--completely independent of internet connectivity or cloud services. The Pocket Device serves as the processing hub, interpreting data from sensors embedded in the shoe and providing instant auditory responses through connected wireless earphones. Designed for energy efficiency and compactness, the system enhances mobility, safety, and accessibility--particularly for individuals with visual impairments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ESP32, Smart Shoe, Pocket Device, Wake Word Detection, Offline Voice Assistant, Bluetooth TTS, ESP-SR.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Wireless sensor networks (WSNs) represent a sophisticated technology that faces challenges in managing numerous sensor nodes, data collection, transmission, and enabling actions across diverse applications, including tracking, surveillance, and forest fire detection, in both civilian and military sectors. This architecture is considerably more vulnerable to threats, hacking, and exploitation due to the distribution context, features of the sensor-equipped nodes, and their transmission procedures, in contrast to traditional networks. Consequently, an ideal strategy is necessary to provide protection in these networks while considering essential limits related to energy conservation and data protection. This research presents an energy-efficient secure multipath transmission method for grid-based wireless sensor networks (EESMPT). The proposed approach contains three phases. The initial phase involves the creation of the grid-based network. At this stage, a grid header was chosen via the multi-criteria optimization technique. The second stage involves the development of a lightweight cryptographic method for secure data transport. In the third stage, multiple paths are chosen to identify the quickest route for secure data transmission. The subsequent measures are employed to evaluate the efficacy of the suggested approach: energy usage, packet delivery ratio, and the count of active and dead nodes.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Wireless Sensor Network, Energy Efficient, Secure data transmission, Light weight cryptography, Multi-path transmission, Grid based network.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid spread of fire in remote, elevated, or structurally compromised locations poses a substantial risk to both property and lives. Traditional firefighting approaches, while effective on the ground, are often restricted by physical and environmental limitations. This project presents the development of a cost-effective, manually operated Fire-Fighting Drone (FFD) capable of deploying fire extinguisher balls over targeted fire zones. The drone is equipped with a basic mechanical payload dropping mechanism triggered by a switch on the remote controller, enabling safe operation at a distance. Unlike autonomous UAVs, the proposed FFD is simple, affordable, and accessible for emergency services in rural or low-resource settings. The system is tested under controlled fire conditions and shown to effectively suppress small-scale fires with improved targeting accuracy and safe operational distance. The paper discusses the design process, mechanical integration, performance analysis, and potential applications, along with the limitations and suggestions for future enhancements.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fire-Fighting Drone, Manual UAV, Fire Extinguisher Ball, Payload Mechanism, Remote Operation, Emergency Suppression

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Phishing attacks continue to dominate the global cyber threat landscape, exploiting newly registered and visually deceptive domains to lure users into compromising sensitive information. This review examines how artificial intelligence (AI) and machine learning (ML), when combined with open-source intelligence (OSINT) and content similarity techniques, offer a powerful, proactive defense against such threats. By leveraging domain metadata, web content features, and visual analysis, modern detection frameworks can identify phishing domains at the time of or shortly after their registration. This article synthesizes state-of-the-art research, evaluates AI model performance, and introduces a lifecycle-based theoretical model for AI-powered phishing detection. The review also highlights current gaps in explainability, scalability, and integration, providing a roadmap for future development in this critical domain of cybersecurity

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Phishing Detection, AI in Cybersecurity, WHOIS Data, Domain Intelligence, Machine Learning, Webpage Similarity, OSINT, CNN, LSTM, Visual Phishing, Explainable AI, Federated Detection.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The lip serum with SPF is a concentrated product that provides protection from sunlight, hydration, plumping, and healing effect on lips upon application. This also provides a brown tint to the lips. Lip serums contain smaller molecules when compared to lip oils which helps to penetrate deeper into the skin. The projects aim to formulate a Herbal lip serum with SPF that provides protection from sunlight, heals sunburn, and prevents Actinic cheilitis. The objective of the project was to formulate a multifunctional lip product that provides protection, hydration, and healing effect. The Herbal lip serum with SPF was prepared by using carrot seed oil, coconut oil and other ingredients in specific quantity. The formulation was prepared by incorporating Carrot seed oil and Coconut oil into melted shea butter and beeswax and is stabilized by vitamin E. Five formulations (F1-F5) was prepared with varying concentrations of ingredients The formulations were evaluated for organoleptic properties, SPF, pH, irritancy and spreadability to ensure product quality and consistency. The formulation F4 was found to be the best among the five preparations as it showed greater consistency, SPF, and homogeneity. The results demonstrated the successful development of a Lip serum with sun protection, uniform brown tint, smooth texture, ideal pH and good spreadability. The findings suggest that the developed Lip serum to be a stable, safe, and effective lip care product which can deliver multiple benefits. The formulation successfully meets the intended objectives, providing moisturization, soothing, sun protection and healing effect, making it suitable for diverse lip types. The developed formulation holds promise as a natural, effective, and high-quality addition to lip care routines, which can be used both day and night and whenever required. Further higher studies are required to explore the efficacy and safety of this formulation in larger population.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lip serum, Protection, sunlight, SPF

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In financial engineering, stock market prediction is a crucial subject, particularly given the ongoing advancement of innovative methods and strategies in this area. In this study, we look into how sentiment exhibited in Twitter tweets affects the ability to predict stock prices. Twitter is the social networking site that gives everyone a free forum to publicly share their opinions. In specifically, we use the API to retrieve the company's live Twitter tweets. Every special character and stop word in the dataset is taken out. The Random Forest classifier is used to analyze sentiment in the filtered data. As a result, the tweets are categorized as neutral, negative, and positive. To get the outcome, the machine learning model receives the stock data and the tweet data as input. The stock market price is predicted using the ML classifier as a model. The real stock market value is contrasted with the predicted value that was obtained. Experiments employing real-time Twitter data and daily stock data from a number of businesses. The project's objective is to forecast the future price of a stock of interest by combining sentiment analysis of news headlines and Twitter tweets with previous stock data.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Stock Market, Data Analysis, Machine Learning, Stock price Prediction, Social Media.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mahamanjisthadi Kwatha is mainly indicated in the management of skin disorders and blood related disorders. This review compiles evidence from texts like Sharangdharsamhita to under score Mahamanjisthadi Kwatha's potential as a safe and holistic approach to manage skin diseases. It contains a synergistic combination of herbs such as Manjishtha (Rubiacordifolia), Neem (Azadirachtaindica), Guduchi (Tinosporacordifolia), Sariva (Hemidesmusindicus), and Triphala (Amalaki, Haritaki, Bibhitaki), which together provide detoxifying, anti-inflammatory, and antimicrobial actions. The pharmacological properties of individual ingredients have been validated in various experimental and clinical settings, supporting skin healing, immune modulation, and microbial control. Several case studies and small-scale clinical reports demonstrate positive outcomes in chronic and relapsing Kushta diseases, showing reductions in inflammation, lesion severity, and recurrence rates. One study involving acne management highlighted its effectiveness in combination with leech therapy, while another showed notable improvement in psoriasis severity scores following its administration.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Therapeutic Review of Mahamanjishthadi Kwatha in skin disorders.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Electric wheelchairs help people with disabilities move around more easily, giving them more freedom and a better quality of life. Adding joystick controls has made it easier to drive the wheelchair, making users more independent. In recent years, health monitoring systems have been added to track important health signs like heart rate and oxygen levels. This paper explains how joystick-controlled electric wheelchairs work, how health monitoring is added, their benefits, challenges.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electric wheelchairs, joystick control, assistive technology, health monitoring systems, heart rate tracking, oxygen saturation, user independence, smart mobility devices, biomedical sensors, accessibility solutions

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The semi-arid landscapes of Pandharpur, Sangola, and Mangalwedha in Solapur district, Maharashtra, represent a unique intersection of biodiversity and human activity. This study investigates mammalian diversity and the conservation challenges faced in these ecologically sensitive regions. Over a six-month period (Oct 2023-May 2024), systematic field surveys and community interviews were conducted across varied habitats--ranging from farmlands to urban fringes. We documented 20 mammalian species spanning seven taxonomic orders, including the endangered blackbuck (Antilope cervicapra), Indian gray wolf (Canis lupus), and Indian leopard (Panthera pardus). Analysis reveals stable populations for most generalist species, while larger carnivores and grazers are in decline due to habitat fragmentation, urban sprawl, and conflict with agriculture. Human-wildlife interactions are intensifying, with 54% of local respondents reporting direct conflicts. However, the study also reveals encouraging signs of coexistence: 74% of respondents expressed willingness to support conservation initiatives. These findings highlight both the threats and opportunities in fostering community-based conservation and call for targeted awareness, legal literacy, and habitat restoration in this overlooked dryland ecosystem of peninsular India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Community-based conservation, Conservation challenges, Dryland ecosystem, Habitat fragmentation, Human-wildlife conflict, India, Mammal diversity, Solapur district, Urban-wildlife interface, Wildlife Protection Act

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Creative Commons Attribution 4.0 and The Open Definition