Volume 12 | Issue 3

 Abstract

The primary purpose of this ground-breaking study is to introduce a cutting-edge facial recognition device that will push the limits of existing technology firms in the healthcare industry. The healthcare terrain is constantly transforming with the introduction of new technologies that are continuously revolutionizing the patient-focused care approach [1]. Among all these technologies, facial emotion recognition is emerging as a game-changer for meeting patients' emotional needs. My AI-driven device stands out as a remarkable innovation within this sphere, applying the latest technological innovations in computer vision and AI to transform the healthcare industry. This device aims to achieve the highest possible speed and accuracy in facial recognition tasks by incorporating advanced internal components such as a Quantum Facial Recognition Processor (QFRP) and Neural Network Accelerator (NNA). Furthermore, adding new functionalities, such as the Holographic Facial Landmark Detector and Bio-Inspired Facial Feature Extractor, will pave the way for a more thorough and accurate analysis of facial features. It utilizes sophisticated algorithms and biometric authentication to give unmatched precision and dependability in decoding facial expressions and micro-expressions [2]. It makes it possible for healthcare professionals to catch some subtle reactions of patients in their facial expressions and, therefore, identify many emotions (happiness, sadness, anger, fear, etc.) Besides, the device can detect subtle nuances of patients' facial expressions. In addition, my device can be an invaluable aid in pain assessment and management, mental health evaluation, and continued emotional monitoring in healthcare settings. The device enables healthcare workers to make practical inferences about patients' emotional states and well-being, which creates a platform for empathetic, personal, and proactive ways of care in hospitals.

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 Keywords

Facial Integration, Neural Network Accelerator, Artificial intelligence, facial emotional recognition, Holograph, facial feature extractor, Quantum Facial Recognition Processor, microprocessor, healthcare

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 Abstract

The present research paper attempts to show how art plays a significant role in the lives of transgender straight from ancient period to modern India.

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kliba, eunuch, tritiya prakriti, sexual orientation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Perampanel, RP-HPLC, Waters system, validation etc.

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Creative Commons Attribution 4.0 and The Open Definition

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A cooperative society is a self-governing group of individuals who voluntarily come together to address their common economic, social, and cultural needs through a collectively owned and democratically controlled enterprise. India, primarily reliant on agriculture, is the birthplace of the world's largest cooperative movement. Cooperative ventures in agriculture, such as dairies, sugar mills, and spinning mills, are established by pooling resources from farmers aiming to process their produce. The country boasts 194,195 cooperative dairy societies and 330 cooperative sugar mill operations, with the latter contributing to 35% of the nation's sugar production. In the domain of banking and finance, cooperative institutions are widespread in rural and urban areas. Notably, primary agricultural credit societies (PACS), formed by farmer associations at the village level, submit credit requests to district central cooperative banks (DCCBs) before a village's needs arise. State cooperative banks serve as the apex of the rural cooperative lending structure. PACs, as a collective of farmers, wield significant negotiating power compared to individual farmers dealing with commercial banks. Amul, a renowned cooperative brand, has its roots in Gujarat, with 36 lakh milk producers. It oversees the Gujarat Co-operative Milk Marketing Federation. Moreover, cooperative marketing groups have emerged among small producers and manufacturers facing challenges in independently selling their goods.

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 Keywords

Democratically, Cooperative, Agriculture.

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This study looks at the asset quality and capital status of the Indian banking system with regard to non-performing assets to selected public and private sector banks' advances during a five-year period, from 2016 to 2020-21. For the comparison analysis, secondary sources of data obtained from selected banks' annual reports were taken into account. Private sector banks outperformed public sector plans in terms of the capital adequacy ratio (CAR), debt equity ratio (DER), total advance to total asset ratio, and government security to total asset ratio. Public sector banks had higher net non-performing assets (NPA) to total asset ratios and total investment to total asset ratios, while private sector banks had higher net non-performing assets to net advance ratios.

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 Keywords

Asset Quality, CAMEL Model Approach, Capital

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The Pictogram authentication system represents an avant-garde paradigm in user verification, harnessing the cognitive strength of visual symbols. This project proposes a cutting-edge authentication system, accentuating visual password creation, pattern recognition, and fortified security protocols. Key components encompass user-friendly interactions, multimodal integration, scalability, and rigorous usability testing. Developed with Java, Python, HTML, CSS, and JavaScript for web-based interfaces, the project employs analytical tools like R, Matplotlib, and Seaborn for robust performance evaluation. The system not only prioritizes security enhancement but also addresses user education, ensuring a seamless blend of accessibility and human-centric design. In summary, this project pioneers a secure, visually-driven authentication solution, harnessing innate human visual recognition capabilities for a resilient and inclusive digital future.

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Visual Password, Security Enhancement, Digital Authentication

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ABSTRACT The current study aimed to determine the physical properties of finger millet (FM) cultivars (GPU-48, Indaf-7, ML-365, and MR-1and MR-6). The moisture content; dimensional properties such as length, width, thickness, geometric mean diameter, and arithmetic mean diameter; physical properties such as one thousand (1000) sample weight, bulk density, true density, porosity, sphericity, aspect ratio, surface area, and sample volume; functional properties such as water absorption capacity (WAC), dispensability, and viscosity were determined. Scanning electron microscopy (SEM) analysis of FM cultivar varieties was also evaluated. Results revealed that ML-365 cultivar was higher than other samples in moisture content, width, thickness, geometric mean diameter, arithmetic mean diameter, surface area and sample volume. Data showed that MR-6 was higher in viscosity cold paste and viscosity cooked paste than in other FM cultivars. SEM findings revealed that starch granules of raw FM flours had oval/spherical and smooth surface. In conclusion study findings are important for agricultural and food engineers, designers, scientists and processors in the design of equipment for FM grain processing. Results are likely to be useful in assessing the quality of grains used to fortify FM flour

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Finger millet, physical properties, dimension properties, functional properties

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Abstract Behavioral finance, a branch of finance that explores the influence of psychological factors on financial decision making, reveals a significant limitation in traditional finance models. Behavioral finance uses both psychology and finances to explain the rationale behind an investor behavior towards investment decision and also explains the market anomalies. India's favorable demographic patterns, such as its rising affluent middle class and aging population, should ensure robust utilization increase. Beside with these factors, factors such as treating gold as a major investment choice, the use of gold ornaments by the male and younger population, the widespread availability of credit facilities, and the increasing trend of industrial demand all contributed to the increase in gold demand. Consumer spending patterns in India vary significantly from those in the Western world and previous generations of Indians. Consumer preferences, shopping designs, preferred styles of stores and retail scenes, attire and style, and ways of investing their recreation and leisure time are all covered. However, there are particular differences in Indian utilization designs due to fast monetary turn of events. Therefore, the paper largely focuses on the investors behavioral aspects towards the gold investment in the select region and the methodology of the study is purely based on the primary data by conducting survey to identify customers' behavioral aspects on gold investment in the select region.

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Keywords: Behavioral finance, Demographic patterns, Market anomalies, Gold ornaments.

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 Abstract

In recent trends, there's an rising strain regarding the provision of clean, consumable water. This problem especially arises in pastoral areas due to the ineffectiveness of the governments and the adding population in the country. Thus, this particular design aims to descry and display real- time physicochemical quality of the water in a much further cost effective manner, as opposed to the current styles which involve slice and laboratory styles, through its wireless,multi-sensor network. It takes into consideration multiple factors and presents this real- time quality through the IOT (internet of Things) of its EC (electrical conductivity), TDS (Total Dissolved Solids) as well as temperature of water that's being tested. Also, this remote controlled boat is especially designed for lakes, budgets, gutters etc. where we can not cover water quality in similar complicated scale water surroundings by just using a stationary system because water parameters vary at every single position. To avoid this, we selected a boat which can float and move on the water simply by 2.4 GHZ protocol. This structure is designed as a housing shape which minimizes the resistivity of water inflow and this shape also maintains the stability of water. This water quality monitoring boat includes an GPS (Global Positioning System) which gives the position of the point wherever boat hovers in the reservoir & simultaneously sends the live location of boat via GSM (Global System for Mobile Communication). All the results are generated and displayed with their readings and their graphical analogue measures through the opensource IOT platforms like Blynk/Thing speak, on with water's contaminations limitation points and its dangerous position announcement.

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 Keywords

Multi-sensor network, TDS, EC, 2.4GHZ, GPS, GSM, IoT

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The study aimed to develop and evaluate a polyherbal shampoo preparation, comparing its physicochemical properties with both herbal and synthetic commercial counterparts. The objective was to create an Ayurvedic shampoo utilizing natural herbs and compounds, aiming for improved efficacy and safety compared to synthetic alternatives. Key components of the formulation included Shikakai, Reetha, and Amla, comprising 10% of the active ingredients. Citric acid was utilized for pH adjustment, while a minimal quantity of methyl paraben served as a preservative. Various tests were conducted to assess the physicochemical properties of the formulated and commercial shampoos, including visual inspection, pH determination, solid content percentage, foam volume and stability, surface tension measurement, detergency, and dirt dispersion analysis. The polyherbal shampoo exhibited clarity and visual appeal, along with satisfactory cleansing and detergency performance within five minutes of application. Additionally, it demonstrated low surface tension, small bubble size, and stable foam formation. Comparative analysis indicated that the formulated shampoo provided conditioning effects comparable to those of commercial counterparts, suggesting promising performance in conditioning aspects.

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 Keywords

rice water, marketing shampoo, anti-dandruff shampoo, evaluation test

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Creative Commons Attribution 4.0 and The Open Definition

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The early detection of lung cancer is crucial for improving patient outcomes and reducing mortality rates. In recent years, artificial intelligence (AI) and machine learning (ML) techniques have emerged as powerful tools for enhancing the accuracy and efficiency of lung cancer detection. This abstract provides an overview of the key findings and advancements in AI/ML based approaches for early detection of lung cancer. AI/ML techniques offer the ability to analyze diverse datasets, including medical imaging data, genomic profiles, and clinical variables, to identify individuals at high risk of developing lung cancer. Convolutional neural networks (CNNs) and transfer learning methods have shown promise in analyzing chest CT scans and X-ray images to detect lung nodules and abnormalities with high sensitivity and specificity. Integration of biomarker data, such as genomic mutations and circulating tumor DNA (ctDNA) profiles, further enhances the accuracy of lung cancer detection models. Multimodal fusion techniques, ensemble learning methods, and realtime decision support systems enable comprehensive analysis and interpretation of data, facilitating early detection and intervention. Future research directions include the integration of multiomics data, longitudinal monitoring strategies, and personalized risk assessment models to improve the effectiveness of lung cancer screening programs. Challenges such as data standardization, interpretability of AI models, and ethical considerations must be addressed to ensure the responsible deployment of AI/ML techniques in clinical practice. Collaboration between researchers, clinicians, and industry partners is essential for advancing the field and translating research findings into actionable insights for improving patient care. In conclusion, AI/ML techniques hold immense promise for revolutionizing the early detection of lung cancer. By leveraging emerging technologies and interdisciplinary collaboration, we can enhance screening strategies, enable personalized interventions, and ultimately, save lives through early diagnosis and treatment of lung cancer.

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Lung cancer, AI/ML techniques, early detection of lung cancer, multimodal images.

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 Abstract

The study focuses on evaluating the historical performance of selected IT companies in terms of risk-adjusted returns, utilizing both quantitative and qualitative research methods. Various financial metrics, including stock price volatility, beta coefficients, and return on investment (ROI), are examined to assess the risk and return profiles of IT companies. Additionally, the study explores the relationship between economic and financial indicators and stock returns to provide insights for investors, financial analysts, and policymakers. The research methodology involves data collection from primary and secondary sources, selection of IT companies based on specific criteria, and statistical analysis techniques such as regression analysis and correlation analysis. The findings highlight the diversity in financial performance and risk profiles among IT companies, emphasizing the importance of informed decision-making for investment strategies and market predictions in the dynamic landscape of the IT sector. The findings offer actionable insights for investors seeking to optimize their investment outcomes within the IT Companies.

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Key words: Risk and Return, IT sector, Beta .

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 Abstract

In the most of the developing countries, the effort of collecting electricity utility meter reading and detecting illegal usage of electricity is a very difficult and time consuming task which requires a lot of human resources. Energy meter reading and monitoring system using Internet of Things (IoT) presents an efficient and cost-effective way to transfer the information of energy consumed by the consumer as well as it provides facilities to detect the illegal usage of the electricity with the help of wireless communication. Aim of this study is to measure electricity consumption in the household and generate its bill automatically using IoT and telemetric communication techniques. Also this study aims to detect and control the energy theft. The Arduino microcontroller is employed to coordinate the activities with digital energy meter system and to connect the system to a WiFi network and subsequently to the Internet and Server. It has the facility to disconnect and reconnect the electricity supply automatically. The proposed system is capable of continuously monitor and being notified about the number of units consumed to the energy provider and consumer. The energy consumptions are calculated automatically and the bill is updated on the internet by using a network of Internet of Things. This automation can reduce the needs of the manual labours .

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 Keywords

ATMEGA328P Microcontroller, ESP8266 Wi-Fi Module, Energy Metre, Blynk, IoT, Energy Monitoring

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 Abstract

The most famous saint among the subsequent generation of Kabir's disciples was Dadu Dayal. Born in Ahmedabad, Dadu spent most of his time in Rajputana. Kindness, humility and forgiveness are clearly visible in Dadu's message. Dadu's message is completely free from religious prejudices of Hinduism or Islam. He emphasized on the basic unity and brotherhood of all religions. Like his great guru Kabir, Dadu was also a strong advocate of Hindu-Muslim unity and his thoughts about God, religion, rituals and religious formalities, idol worship, castes, Mahants-Pandas, incarnationism, pilgrimage etc. were similar to Kabir's. The sect he led is famous by the name of Dadupanth. After his death, his disciples Garibdas and Madhodas made great efforts to propagate his teachings.

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DHAARMIK, VICHAARADHAARA, RAAJANEETI, SAAMAAJIK, CHETANA, AANDOLAN.

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Anthocephalus cadamba (family: Rubiaceae) is also known as kadamb. It is huge evergreen tree with large leaves and beautiful ball shaped flower and fruit. It is natural ayurvedic remedy which is use for medicinal purpose in several countries such as china, India and Egypt. Many pharmaceutical companies currently conducting extensive research on plant material for their potential medicinal value. The kadamb possess significant pharmacological properties for various hopeless disorder due to presence of variety of chemical constituents in them. The therapeutic uses of its flower, root, bark, leaves and stem against the various disorder like diabetic mellitus, diarrhoea, fever, inflammation, haemoptysis, cough, vomiting, wound healing, ulcer and also useful for snake bite. The major chemical constituents of the plant are triterpenes, triterpenoid glycoside, flavonoid, saponin, indole alkaloids, cadambine, isocadambine, isodihydrocadambine. In this article we review the pharmacognostic and pharmacological studies of Anthocephalus cadamba.

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 Keywords

Anthocephalus cadamba, Introduction, Pharmacognostical, Physicochemical, pharmacological activities.

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 Abstract

The delivery of drugs through the mucous membrane of the mouth is thought to be a promising substitute for oral administration. Sublingual literally meaning is "under the tongue". Administrating substances is rapidly absorbed via blood vessels under tongue. The portionof drug absorbed through the sublingual blood vessels bypasses the hepatic first pass metabolism processes giving acceptable bioavailability. Sublingual tablet dissolve instantaneously, releasing the drug within a few second without the need of water and chewing. The objectives behind this review were to summaries the benefits of sublingual formulation, mechanismof action, advantages of route of administration, factor affecting permeability of drug, various in vitro evaluation parameters and commercially available sublingual dosage from. Sublingual tablet disintegrates rapidly and the small amount of saliva present is usually sufficient for achieving disintegration of the dosage form coupled with better dissolution and increased bioavailability. Different sublingual technologies address pharmaceutical industries and patient need to enhanced lifecycle and appropriate dosing for pediatric, geriatric, psychiatric patients also patients with dysphagia.

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Sublingual tablets, patient compliance, Bioavailability, Oral route

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 Abstract

The EcoStride Advance Footstep Electricity Generator Project is an ingenious and eco-friendly initiative aimed at harnessing the kinetic energy generated by human footsteps to produce electrical power. This project leverages the concept of piezoelectricity, a renewable energy source that converts mechanical stress into electricity, to provide a sustainable and clean energy solution. By integrating specially designed flooring systems with embedded piezoelectric materials in high-traffic areas, this project offers an innovative approach to address the ever-growing demand for clean and renewable energy sources. The key components of the EcoStride Advance Footstep Electricity Generator include piezoelectric materials, a custom flooring system, an energy conversion mechanism, and an energy storage system. When an individual steps on the flooring, the embedded piezoelectric materials generate electric charge through the piezoelectric effect. This electric charge is then efficiently converted into a usable form of electricity, and any surplus energy is stored in batteries or supercapacitors for later use. The project presents several benefits, such as harnessing renewable energy from an otherwise underutilized source, reducing the environmental impact by lowering reliance on fossil fuels, and providing economic savings in public areas with high foot traffic. Moreover, this technology promotes green and sustainable solutions, aligning with the global shift towards a more environmentally conscious and energy-efficient future.

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ecostride, electricity harvesting, power generation, piezoelectric sensor electricity generation

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 Abstract

For the purpose of quantifying prazosin in active pharmaceutical components and tablet dose formulation, an affordable, straightforward, accurate, precise, and versatile UV spectrophotometric approach based on absorption ratio has been developed and verified in accordance with ICH requirements. In the current investigation, prazosin was estimated using the absorbance values at 243 nm. The analyses findings for linearity, accuracy, precision, LOD, and LOQ have all been statistically confirmed. With a correlation coefficient of 0.9988, the procedure was shown to be linear in the concentration range of 1-5 g/ml. The results for the validation parameters also showed that the suggested approach was determined to be appropriate, sensitive, repeatable, accurate, and exact. As a result, this technique is helpful for routine quality control analysis to estimate prazosin in pharmaceutical.

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 Keywords

Prazosin hydrochloride, Development, methanol, UV-Visible Spectrophotometric method, Validation

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This project aims to show us why the English known as a global language and why other languages do not have this ability. Also introduce some other languages such as Chinese that can be replaced with English and their capability of being a global one.

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: English, Global Language, Capability, Global communication tool, Lingua Franca.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper explores the potential of Augmented Reality (AR) technology in enhancing customer engagement and accessibility in the food industry. The potential of augmented reality (AR) technology to improve accessibility and customer engagement in the food business is examined in this article. Customers can see meals, get nutritional data, and even place orders straight from their mobile devices with AR food menus, offering them an immersive and interactive experience. The study looks into the advantages of augmented reality (AR) food menus, such as higher customer satisfaction, shorter wait times, and better accessibility for those with impairments. It also covers the difficulties--such as user adoption and technological constraints--of integrating augmented reality technology in the food sector. This research comes to the conclusion that augmented reality food menus present a viable way to boost consumer engagement, increase accessibility, and revolutionize the eating experience based on a thorough analysis of the body of scientific literature and empirical evidence.

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 Keywords

AR,MOBILE,LAPTOP

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Creative Commons Attribution 4.0 and The Open Definition