Volume 12 | Issue 6

 Abstract

The word Samskara in bhaishajya kalpana is denoted as the various kind of procedures done to introduce new quality in drug or to enhance the present quality in drug. Samskara' is one of the important concepts of Ayurveda. The Sanskara in Ras shastra is related to shodhan and maran and in case of parad there are 16 types of Sanskara are there to remove impurities and toxicology from parad. In kaumryabhritya 16 types of Sanskara are explained regarding from birth of child to death as an adult.In bhaishajya process or tool by which Dravya is modified as required is termed as 'Samskara'. In Ayurveda word Samskara has been used in various aspects with different meaning as per the context. Samskara is included Paradi Gunas.It is also enumerated under the 'Ashta Vidhi Vishesh Ayatanas'.Charak has defined Samskaras as 'Karan.'The word "Karan" has been used for "Bheshjya" mainly in Charak Samhita. Samskara is an important concept of pharmaceutics. It has vast application which are enlisted in three subtitles as collection of drugs , preservation of drugs and production of medicines.

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 Keywords

Ayurved, processing, Sanskara, pharmaceutical

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Neural network's function is an excellent instrument for analyzing, learning and predicting from the supplied data. It has proven successful in practical situations involving image recognition, speech recognition as well as natural language processing. This paper is all about a detailed analysis of AI neural network types, fields of application and their advantages and disadvantages. There is a discussion of recent developments in neural networks as well as their possible usage going forward. Based on the above analysis, ANN (Artificial Neural Network) models with feed-forward or backward propagation show prospective areas of research. It can be used for balancing such parameters as accuracy of data, speed in processing, time lag, fault-tolerance, volume, scalability, convergence and performance. In essence, neural networks are simply self-evolving learning mechanisms just like the human brain's highly dynamic learning mechanism which also adapts based on the data they receive. It can support many businesses which will develop into different industries. In the future, the use of neural networks will include solving even more complicated problems, like self-driving cars, disease diagnosis, or stock market exchange.

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ANN, AI, image recognition, speech recognition, Deep learning

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Syndet is a mild cleaning solution that doesn't require soap and is ideal for regular use. It efficiently cleanses the skin of debris, oil, and pollutants without leaving any trace. The future of soap-free cleaning will be in solid shapes, such as bars and cubes, which are more convenient, eco-friendly, and have longer shelf lives. Find out more about Syncopal and how solid-format cleansers, shampoos, and conditioners may help your brand take over global marketplaces.

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Washability Test, Foam Volume Test, Foam Stability Test, pH Level.

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Rabindranath Tagore's "The Home and the World" presents a sophisticated critique of the intersection between spirituality and modernity. Through the characters of Nikhil, Sandip, and Bimala, Tagore delves into the complexities of ethical idealism, aggressive nationalism, and personal transformation. The novel not only reflects the historical context of early 20th-century Bengal but also offers timeless insights into the challenges of integrating ethical and spiritual values with the demands of modern political and social life. Tagore's nuanced portrayal encourages readers to seek a balanced path that honours both tradition and progress.The aim of the paper is to find out the clashes and similarities between the subject of modernity and spirituality in between the male and female characters and their public and private lives .

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spirituality ,encompasses,pursuit ,compassion ,transcendent ,interaction ,altruism ,existential,transformation ,fragmentation ,alienation ,disillusionment ,ect.

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Agriculture is considered a very important source in our country in dial and the whole world. If there is agriculture in the country, grains will grow, animals will survive. Population growth increased so much in the entire country. Agriculture has become in effective for farmers. In a view of population growth, food production has decreased. Current technique s such as deep learning, IOT and machine learning are used for agriculture. IOT is very new to agriculture and farming. IOT is used for raw material s. IOT collect data many areas. We have to face story coming from agriculture business. Smart irrigation system is used. Agriculture is important source of water. If water is irrigated, fruits will grow.

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Machine learning, Deep Learning, Crops, farming precision, Agriculture, Node MCU

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This paper details the design, development, and evaluation of an autonomous line-following robot using an Arduino Uno microcontroller. The robot navigates a predefined path marked by a line, employing infrared (IR) sensors for detection and a Proportional-Integral-Derivative (PID) control algorithm for motor control. The hardware setup includes an Arduino Uno, IR sensors, DC motors, and an L298N motor driver mounted on a compact chassis. The software, developed using the Arduino IDE, processes sensor data to compute the error between the desired path and the robot's actual position, which is minimised using a PID control algorithm. Extensive experiments on various track configurations demonstrated the robot's high precision and stability in following lines. The PID controller's dynamic motor speed adjustments allowed the robot to efficiently navigate complex paths, outperforming traditional threshold-based methods. This research highlights the robot's potential applications in automated guided vehicles (AGVs), industrial automation, and educational tools. The findings underscore the efficacy of PID control in enhancing line-following robot performance, providing a foundation for future advancements in this field.

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Autonomous Navigation, Embedded System, Sensor Data Processing, Path Tracking.

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There is a need to study and make a system which will make it easy for an end-user to predict the permanent diseases without visiting a physician or doctor for a diagnosis. To detect the various diseases through the examining symptoms of patient's using various methods of machine learning models. To manage text data and structured data is no proper method. The recommended system will examine both structure and unstructured data. The predictions accuracy will improve using machine learning.

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Diseases, Prediction, Machine learning, Decision tree, Random Forest, K-Nearest neighbor algorithm.

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due to the increase in population in India, Agriculture is considered an important source. Water is important for agriculture. To irrigate the fields, water the fields, water has to be used. Water is the life of all living beings. If crops are irrigated, plants will emerge and grains will grow. Today we are going to irrigate water through smart irrigation system. And to control the water, rely is used to switch on and off. Water is exacted from the ground by a motor pump connected to the relay. And it also helps in drawing water from wells, rivers, ponds tanks etc. A water controller is installed to pour water in equal quantity. Soil moisture is applied to check the moisture of soil. If the soil becomes wet, the crops will be irrigated and the crops will start growing. To design a hardware program, programming has to be done in software. When you run the machine, the system output will be displayed and will also be displayed in the display computer software. In this you can see amount of irrigation. With the help of cloud, farmers can know the weather. Crop health can be detected in the data. By collecting various sensor data, precision farming methods become accessible and effective.

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Node MCU, soil moisture, CNN and DNN, farming, DHT11 humidity sensor, relay, Motor pump, Power Supply, Water Level, Ph Sensor, Temperature Sensor

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Even in the oldest texts of Sanskrit literature, the narrative method is seen to have been adopted. This method can be found in epics and Puranas.This paper attempts to provide a brief discussion of the Akhyana system in Puranic literature.

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Akhyana, Upakhyana, Puranas,Pancalaksana.

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BACKGROUND: The aim of the study was to find out the effect of plyometric exercises on muscular endurance and kicking performance of football players. METHOD: 30 recreational football players were chosen for this study (aged 19-26 years old) and randomly assigned into control (N=15) and experiment group (N=15) for six weeks. The experiment group was engaged in supervised plyometric training programmed for 4 weeks for 3 days in a week on alternate days. Subjects in the control group were excluded from plyometric training. The experiment group subjects participated in two tests; 1) Bent Knee sits up test and; 2) McDonald Soccer test pre- and post-training. RESULTS: The collected data was analyzed using descriptive statistics and paired t-test as t-value is calculated as 3.2944 for Bent Knee Sit up Test and 7.8474 for McDonald Soccer Test, which is found significant at 0.05 level of confidence. A significant difference is observed in mean values among calculated and tabulated "t-value" of experimental group on Bent Knee Sit Up Test and McDonald Soccer Test of football players via administering the plyometric exercises for 4 weeks. CONCLUSION: The findings of the study conclude those four weeks of plyometric exercises effectively in increases muscular endurance and kicking performance in football players. Clinical implications: The current study suggests that plyometric exercise could be a potential tool in improving the muscle endurance and kicking performance in college football players. Additionally, sports-specific exercise will be beneficial for coaches and recreational athletes who are willing to improve muscle endurance, kicking performance and lower limb functional performance.

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Plyometric exercises program-muscular endurance test-kicking performance-bent knee sit up test-McDonald soccer test.

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This project is focused on energy harvesting and energy storage through renewable sources. In many cases, vegetables may either get rotted or the market gets full due to imbalance in supply, price and demand. The waste vegetables and wild plants contain electrochemically active compounds, which can be used for preparation of rechargeable bio-battery cells. In this project, a set of battery cells was constructed by coupling the electroactive compounds of Onion-Radish, Onion-Bitter Orange, Onion-Cactus, Turnip-Radish, Turnip-bitter orange and Turnip-cactus. The fresh juices of these vegetable combinations were used and the reaction conditions were optimized to maximize the output voltage. The output voltage was measured before and after charging of cells for different charging times, juice volume and charging voltage. Among the investigated batteries, turnip-cactus single cell battery produced an open circuit voltage of 2.13 V while the onion-radish battery produced an open circuit voltage.

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Bio-Battery, Waste Management, Electrical

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The advent of Web 3.0, characterized by decentralized applications, enhanced security, and user autonomy, has inspired the development of a cloud-based crowdfunding platform to address traditional issues like centralization, lack of transparency, and high fees. This platform leverages blockchain technology to create a decentralized, secure environment, with smart contracts automating and enforcing campaign rules without intermediaries, ensuring transparency, immutability, and security. The frontend uses Next.js and React for a dynamic UI, styled with Tailwind CSS, while the backend employs Solidity for smart contracts, Hardhat for deployment and testing, and Ethers.js for blockchain interactions, with Web3modal providing secure blockchain wallet authentication. Key features include seamless user onboarding, user-friendly campaign management, and secure transactions on the Ethereum blockchain. Rigorous development and testing ensured smart contract security and efficient transactions, with user feedback highlighting enhanced security. Challenges included optimizing blockchain performance, with future improvements focusing on scalability and user adoption, demonstrating the viability of leveraging Web 3.0 for innovative crowdfunding solutions.

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Web 3.0, blockchain technology, smart contracts, decentralized applications, Ethereum blockchain

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India is actively contributing to the global push for clean, affordable, and sustainable energy, aiming to meet the UN Sustainable Development Goals by 2030. Recently, significant progress in solar energy generation has been made under the National Solar Mission, which targets 50% of energy from sustainable sources by 2030. Despite a solar power generation potential of 115.97 TWh and an estimated 280-300 GW in floating solar power, much of this remains untapped. Current installations are mostly in states like Madhya Pradesh and West Bengal, highlighting a vast opportunity for further development. However, only a small portion of this potential has been tapped, with current installations primarily in Madhya Pradesh, West Bengal, Andhra Pradesh, Kerala, Telangana, Bihar, and Rajasthan. Despite the considerable capacity available, the actual installed capacity remains limited, highlighting a substantial opportunity for further development and investment in floating solar power projects across the country. This paper introduces a novel controller that enhances the performance of a solar-wind hybrid power system by combining solar and wind energy for electricity generation. The system optimizes resource use, boosting efficiency and reliability compared to single-source generation. It is suitable for both industrial and domestic applications. The research focuses on developing combined solar-hydro power plants in India, where solar potential is high but underutilized. This hybrid system aims to produce low-cost electricity, increase renewable energy penetration, and mitigate the environmental and financial costs of conventional plants.

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Floating solar power plant, Solar-hydro power plants, Solar potential, Variable energy resources, National solar mission.

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Vocational guidance is a crucial element in aiding individuals, particularly students and job seekers, in making informed career choices. This study explores the impact of follow-up programs on the efficacy of vocational guidance services. Follow-up programs are designed to provide continuous support and assessment after the initial vocational guidance sessions, ensuring that individuals are effectively implementing the advice and strategies discussed. The research employs a mixed-methods approach, combining quantitative data from surveys and qualitative insights from interviews with participants who have undergone vocational guidance and subsequent follow-up. Results indicate that follow-up programs significantly enhance the outcomes of vocational guidance by providing ongoing support, clarifying goals, and addressing new challenges as they arise. Participants reported increased satisfaction with their career paths, higher employment rates, and greater alignment between their jobs and personal interests and skills. Furthermore, the study highlights the importance of personalized follow-up sessions that are tailored to individual needs and circumstances. Effective follow-up programs include regular check-ins, additional resources, and adaptive strategies to help individuals stay on track with their career objectives. The findings suggest that integrating structured follow-up programs into vocational guidance services can lead to more sustainable and successful career development outcomes. In this research underscores the vital role of follow-up programs in vocational guidance, advocating for their broader implementation to support continuous career development and to maximize the long-term benefits of initial vocational counseling.

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Follow-up program o Vocational guidance o Career counseling o Career development o Employment outcomes o Continuous support o Skill development o Career satisfaction

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India's National Education Policy (NEP) 2020 aims to revolutionize higher education by fostering holistic development, flexible learning structures, and a strong research culture. However, challenges exist in implementing this ambitious vision. Issues like limited access due to social and economic barriers, along with a shortage of qualified faculty and resources, hinder the policy's reach. Additionally, concerns regarding the integration of technology in teaching methods and the feasibility of the multi-entry, multiexit system require careful consideration. Effectively addressing these challenges will be crucial for the NEP 2020 to achieve its goals of creating a world-class higher education system in India.

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Ambitious Goals, Pedagogical Skills, Vocational Education, Exacerbate, Disillusionment.

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Adversity inevitably impacts every individual. While some manage to rebound, defy obstacles, and progress despite adversity, others face greater challenges, such as the students affected by the KWAMOUTH massacre in the Democratic Republic of Congo. Amidst a tribal conflict during the school period, these students were forced to migrate to the capital, where they had to regroup, rebuild, and still pass the State Exam. Our aim was to examine the resilience demonstrated by these young individuals and the resources that facilitated their recovery from this traumatic experience. Through a mixed-method approach, our investigation involving 35 surviving students allowed us to identify the cultural and community resources acting as protective factors, enabling them to persevere and remain engaged in their studies despite the impact of the massacre

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Resilience (in times of war), Kwamouth massacre, academic engagement, agency, education.

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This research aims at reviewing the factors which contribute to the success of a company's penetration to the international market. It comprehensively A Review On Companies Export Performance from the point of views Geographical Market Coverage, Company Characteristics, and Management Attitudes . The method used in this research is the Systematic Literature Review (SLR). We attempt to gather literatures which correlate with export performance and the factors that influence and analyze current actual strength and issues. there are many researches which found that Geographical Market Coverage, Company Characteristics, and Management Attitudes correlate and influence a company's export performance. Finally, open problems for future research are also comprehensively discussed.

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Company export performance; Geographical market coverage; Company characteristics; Management attitudes.

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The proliferation of mobile technology has significantly transformed service delivery across various sectors, paving the way for innovative solutions like service provider apps. This research paper presents an in-depth analysis of a service provider app designed to streamline interactions between service providers and consumers. The app aims to enhance convenience, efficiency, and user satisfaction by integrating features such as real-time booking, geolocation services, secure payment gateways, and user feedback mechanisms. This study explores the app's design and functionality, emphasizing user-centric navigation and robust security measures to protect user data. Through case studies and user surveys, the paper evaluates the app's impact on service delivery efficiency and customer satisfaction. It also examines the economic and operational benefits for service providers, including increased market reach, improved customer relationship management, and data-driven insights for better decision-making. Furthermore, the research addresses the challenges faced in developing and maintaining such an app, including scalability, ensuring privacy, and adapting to diverse user needs. By analyzing these aspects, the paper provides valuable insights into the potential of service provider apps to revolutionize the service industry and meet the evolving expectations of modern consumers.

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Service provider app, Mobile technology, User satisfaction, Service delivery, Digital transformation, Customer relationship management, Data security.

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In order to solve common security concerns with the procurement process, this study explores the implementation of a decentralized electronic tendering system using blockchain technology. Specifically, it focuses on smart contracts constructed upon a user-defined blockchain protocol. The study is broken down into four main sections: 1) General Requirements (GR) formulation and dissemination, 2) bid submission procedures, 3) bid review and negotiation processes, and 4) winning offer selection. Every section integrates distinct algorithms to guarantee a thorough resolution. Concerns about security and auditability are methodically evaluated and compared with current tendering procedures. Establishing a fair, open, and transparent procurement process is the main goal. The project is specifically designed for government tenders and aims to create a transparent and safe blockchaindriven system in order to address issues related to unethical behavior such as bribery and favoritism. In order to protect government records, the suggested framework serves as a solid and unchangeable data structure. This promotes better smart governance, operational efficacy, and costeffectiveness in the public sector. The main goal is to minimize human oversight and streamline the creation of government plans and strategies by establishing a transparent and secure edge computing framework for government tenders.

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Blockchain, Tender Allocation system, Firebase, Hash Key, Bid, Auction System.

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The Electric Vehicle (EV) Charging Slot Booking System is designed to address the growing need for efficient and accessible EV charging infrastructure. As the world shifts towards sustainable energy sources, EVs are gaining popularity due to their potential to reduce carbon emissions and reliance on fossil fuels. However, the current EV charging systems often face challenges such as disorganized processes, lack of real-time information, and inefficient management, leading to user inconvenience and operational difficulties. This project will introduce an EV Charging application designed to provide EV owners with the convenience of easily locating charging stations and checking slot availability. The app will incorporate a centralized booking system, allowing users to effortlessly schedule charging sessions in advance and receive real-time updates on slot availability. Utilizing Google Maps, our app will make it easy for users to find and navigate to the closest charging stations, enhancing their experience with accurate and efficient location guidance. In our app, we are introducing a new feature called 'Community Forum', where every user can connect, share their insights, experiences, and recommendations with other EV users about their electric vehicles. This feature facilitates easy communication among users.

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Electric Vehicle (EV), Slot Booking, Charging Infrastructure, Real-time Information, Sustainable Transportation, Charging Slot, Booking System, Navigation, Charging Session, Location Guidance

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