Volume 12 | Issue 5

 Abstract

Dexamethasone provides relief for inflamed areas of the body, however they frequently have negative effects on the Pancreas. This prospective investigation goal was to look and investigate atorvastatin therapy for affected people with diabetes. Male albino adult rats weighing in at 180-200 g were obtained from an animal house. The animals were kept in the animal home of in a typical setting contains and exact conditions to normal laboratory nutrition with profitable diet (pellets) and water was offered to animals through the two ages of the tests. The first one lasted for 4 weeks, and the second one for 8 weeks. The extract of lindera communis hemsl were investigated for diabetic activity. Each experimental data point was expressed as the mean SE. The results were examined using one-way analysis of variance (ANOVA). P values of 0.05 or below were considered statistically significant.

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lindera communis hemsl, Dexamethasone, STZ, diabetes

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 Abstract

Hindi Upanyason Mein Kinnar Vimarsh

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Hindi Upanyason Mein Kinnar Vimarsh

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Many people regard folk language as the language of folk literature. But this is not right if we observe it very minutely. Because the branches of the folk literature do not quietly follow the oral language. For example, in most of the time, the language used in riddles and proverbs is artificial. As folksongs, folk stories and folk dramas are special genres of literature, the use of folk language is divided there. In many rhymes for the children there are many examples of folk language. Secondly, the importance of folk language is neglected in the collections of folk literature in many books. The personal linguistic sense of the collector is printed in the collections. Thirdly, although folk literature is written by the oral language of the common people, it is the demandless creation of the special literary mind- but not the creation of the whole society. So, the responsibility of creation of the language of the folk literature is on some particular people. Then how can it be said that the language of the folk literature is folk language !

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folk language, folk literature, dialect, oral language

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Phytoplankton are microscopic single-celled organisms that form the base of the marine food chain. Zooplankton refers to a diverse group of small, drifting animals that inhabit the ocean, freshwater bodies, and even some terrestrial environments. The present study was carried out at Manawar Taluka of Dhar District of M.P. state in Central India. In phytoplankton density three groups were examined viz., cyanophyceae, euglenophyceae and bacillariophyceae, in which the cyanophyceae has anabaena, Oscillatoria and Microcystis showed highest relative abundance followed by bacillariophyceae with Cyclotella and Navicula and lowest was euglenophyceae with euglena and zygena. Three groups of zooplankton named rotifers, copepods and cladocerans. In which copepods showed maximum relative abundance among the groups in Beedpura Pond.

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Food web, phytoplankton, zooplankton, relative abundance etc.

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The rental housing market is a dynamic and complex sector requiring efficient management systems to handle various tasks such as tenant management, property maintenance, and financial transactions. This paper presents the development and implementation of an advanced Rental House Management System (RHMS) designed to streamline and automate key processes involved in rental property management. The system integrates modern technologies such as cloud computing, mobile applications, and data analytics to offer a comprehensive solution for property owners, managers, and tenants. The RHMS features modules for property listing, tenant screening, lease management, maintenance scheduling, rent collection, and financial reporting. By leveraging a cloud-based infrastructure, the system ensures data accessibility and security, enabling users to manage their rental properties from anywhere, at any time. The mobile application component enhances user convenience by providing real-time notifications and facilitating on-the-go management. A significant focus of this research is on the data analytics capabilities of the RHMS, which provide valuable insights into market trends, tenant behaviour, and property performance. These insights assist property managers in making informed decisions, optimizing rental income, and improving tenant satisfaction. The implementation of the RHMS was evaluated through a case study involving several property management companies. Results indicate substantial improvements in operational efficiency, reduced administrative workload, and enhanced tenant satisfaction. The study also discusses potential challenges and limitations, including data privacy concerns and the need for user training. Overall, the RHMS represents a significant advancement in the field of property management, offering a scalable and efficient solution to meet the evolving needs of the rental housing market.

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Rental House Management System, property management, cloud computing, mobile application, data analytics, tenant management, operational efficiency

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In this paper, we advocate a framework for privacy-maintaining outsourced drug discovery inside the cloud, which we consult with as POD. Specifically, POD is designed to permit the cloud to soundly use more than one drug system provider's drug formulation to teach Support Vector Machine (SVM) supplied with the aid of the analytical version provider. In our approach, we lay out stable computation protocols to permit the cloud server to perform normally used integer and fraction computations. To securely teach the SVM, we lay out a stable SVM parameter choice protocol to choose SVM parameters and assemble a stable sequential minimum optimization protocol to privately refresh both selected SVM parameters. The trained SVM classifier can be used to determine whether a drug chemical compound is or not in a privacy-preserving way. Lastly, we prove that the proposed POD achieves the goal of SVM training and chemical classification without privacy leakage to unauthorized parties, as well as demonstrating its utility and efficiency using three real-world drug datasets. To securely train the SVM, we design a secure SVM parameter selection protocol to handpick two SVM parameters and construct a secure successive minimum optimization protocol to privately refresh both named SVM parameters. The trained SVM classifier can be used to determine whether a drug chemical conflation is active or not in an insulation-conserving way. Initially, we prove that the proposed cover achieves the things of SVM training and chemical conflation type without insulation leakage to unauthorized parties, as well as demonstrating its availability and effectiveness using three real-world drug datasets. The accuracy level of SVM reached a 98.5% success rate. This accuracy level shows that SVM outperformed well in the secure drug discovery. SVMs are powerful models that works well in datasets and provides high quality results.

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Support Vector Machine (SVM), POD, Drug Discovery, SVM Parameters, Chemical conflation, Datasets.

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Nileswar Brahma is the unsung hero of the Bodo community. He was popularly known as Jwhwlao Nileswr Brahma. He was a good personality and was a music composer, poet, social worker and one of the cultural organizers and movement leader in Bodo community. He was the first gramophone record Singer from Bodo community. His melodious songs in Bodo were first time recorded in the gramophone record company Colombia, Kolkata in 1952. He was an author of poetry and lyrics book "Balabganwi Boroni Khonthai" published in 1952. His songs depict the traditional culture of the Bodos. For example, they portray the enjoyment of the Bwisagu season, the joy of being together, the raising birds and pics, and the experience of being guest during the Bwisagu season, among other themes.

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Bwisagu, Bibwnang, Bodo culture, reflection, traditional

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In this paper, we introduced a new class of sets called C-generalized closed (briefly Cg-closed) set which is a simultaneous generalization of C-closed and g-closed sets. First we investigated basic some properties of Cg-closed sets and then we obtained the relationship of Cg-closed sets with some other existing generalized closed sets. Moreover, we introduced the notion of C-Normal space by using C-closed sets, also we obtained some basic characterizations, properties and preservation theorems of C-normal spaces. Further, we also introduced some function related to Cg-open sets and investigated their properties with C-normal spaces.

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C-closed set, F-closed sets, Cg-closed set, Fg-closed set, C-normal Space, almost Cg-closed function, almost Cg-continuous function etc.

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Plants are the basic medicinal treatment used from ancient history, such medicinal therapies are practiced in the modern era also. It was widely and effectively used against Diabetics around 250 BC. Herbal medicines are treated as traditional since they are used in systems like unani, ayurveda, and Siddha. Conditions like hyperglycemia and hypoglycemia are common medical conditions seen in people nowadays. Herbal therapies and treatments are good medical practices over allopathic treatments to minimize side and long-term effects. The objective of this study is to Formulate and Asses the antidiabetic characteristics of herbal syrup. Plant Costus Igneus is a rare herb in the Ayurvedic system. Bacopa Monnieri (Family: Scrophulariaceae) shows anti-inflammatory activity. The phytochemical constituents like flavonoids, saponins, alkaloids, and steroids show effective antidiabetic activity. In this study, we have ensured the stability and insulin production, sensitivity, and reduction in the glucose level. The evaluation tests are performed on the formulation of herbal antidiabetic syrup, ensuring the proper extraction of bioactive compounds, safety, and stability. The prepared herbal syrup was subjected to various evaluation parameters like pH, density, viscosity, stability, Specific gravity, Sedimentation volume, etc., and comparatively studied with the batches of antidiabetic herbal syrup containing the bioactive compounds of the leaf extract of the Costes Igneus (Family: Costus) and Bacopa Monnieri (Family: Scrophulariaceae). All the studied evaluation parameters are found in limits and show good antidiabetic activity. Herbal Syrup, Bacopa monnieri, Diabetics, Antidiabetic syrup, Costus igneus

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Herbal Syrup, Bacopa monnieri, Diabetics, Antidiabetic syrup, Costus igneus

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The road safety audit of National Highway 60 (NH-60) using ArcGIS focuses on identifying and mitigating potential safety hazards to enhance overall road safety. This study employs Geographic Information System (GIS) technology, particularly ArcGIS, to systematically analyze and map traffic patterns, accident hotspots, and road conditions. By integrating spatial data with accident reports and traffic flow information, the audit provides a comprehensive assessment of high-risk areas. The findings suggest that leveraging GIS technology in road safety audits can significantly improve the effectiveness of safety measures, thereby reducing accident rates and enhancing the safety of road users on NH-60. The study underscores the importance of incorporating advanced geospatial tools in road safety management to achieve sustainable and safer road infrastructure

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Road Safety Audit, National Highway 60 (NH-60), ArcGIS, Geographic Information System (GIS), Traffic Patterns, Accident Hotspots, Spatial Analysis, Road Conditions, Safety Interventions.

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Communication barriers significantly impact the daily lives of speech-impaired individuals, limiting their ability to interact effectively with others who do not understand sign language. This paper presents SignEase, an AI-driven Indian Sign Language (ISL) recognition system designed to enhance communication between speech-impaired individuals and the broader population. The system translates sign language gestures into text or speech, enabling real-time, seamless interaction. The primary objective is to provide an inclusive solution that facilitates independence and equality for speech-impaired individuals in various settings, including government offices, private companies, and public spaces. This document outlines the problem definition, project scope, and technical requirements for SignEase, emphasizing its potential to bridge communication gaps and improve the quality of life for speech-impaired individuals. Through comprehensive requirements analysis and design planning, this project aims to deliver a robust and user-friendly solution that addresses the communication needs of the speech-impaired community.

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Sign Language Recognition, Speech-Impaired Communication, AI-Driven Translation, Indian Sign Language (ISL), Inclusive Technology, Real-Time Gesture Recognition, Accessibility Solutions

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The agricultural sector has witnessed a paradigm shift in recent years, owing to the integration of cutting-edge technologies such as robotics, artificial intelligence, and IoT. This project report delineates the design, development, and implementation of an autonomous robot tailored for precision farming in modern agriculture. The proposed smart agriculture robot is equipped with a plethora of sensors, actuators, and computational modules to facilitate real-time data acquisition, analysis, and decision-making. Leveraging machine learning algorithms, the robot is capable of identifying crops, detecting pests and diseases, and monitoring environmental parameters including soil moisture, temperature, and humidity. The core functionalities of the robot include seed planting, irrigation, fertilization, and weed control, all executed with precision and efficiency. By employing localization and mapping techniques, the robot navigates through the farm autonomously, optimizing routes and avoiding obstacles. Furthermore, the integration of wireless communication enables seamless interaction between the robot and the central farm management system, facilitating remote monitoring and control. The collected data is transmitted to the cloud for further analysis, enabling farmers to make informed decisions and optimize resource utilization.

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Microcontroller, motor driver, sensors, DC Motors

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Abstract-developing a computer program (smart contract) using Solidity, a programming language for Ethereum blockchain. This smart contract will automate and secure the crowdfunding process by enabling users to contribute funds to a project, and the funds will be released to the project only when certain conditions are met, ensuring transparency and trust in the fundraising process. The project leverages the advantages of blockchain, such as immutability and decentralization, to create a more efficient and reliable crowdfunding system. With vision of Government fund allocation through this platform

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Crowdfunding, Blockchain, Smart Contracts, Campaign,Ethereum

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Electronic garbage, known as "e-waste," poses a significant environmental and public health risk. The World Bank estimates that highly industrial waste emissions total around 1.5 billion tons per year. Effective classification strategies are crucial due to its complicated and often hazardous nature. This study explores effective e-waste classification methods that prioritize sustainability, cost-effectiveness, and innovation. The suggested methods range from NVIDIA Jetson Nano-based deep learning models for identifying precious metals to thermal imaging techniques for classifying recyclable materials. Other methods include Faster RCNN, YOLO, and CNN with different architectures. This project has used Two-Stream Deit model and produces audio output of the classified object. The project also investigates the potential of computer vision technologies for e-waste.

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NVIDIA's Jetson Nano, thermal imaging, Faster RCNN, YOLO, CNN, DEMATEL, ISM

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Ravinder Singh, a renowned Indian author, is acclaimed for his emotionally rich and relatable love stories. His novels, including "I Too Had a Love Story" (2008), "Can Love Happen Twice?" (2011), and "Your Dreams Are Mine Now" (2014), tackle themes of loss, healing, and the potential for rediscovering love. Singh's exploration of second love and the acceptance of multiple loves is particularly impactful in a cultural context that often idealizes eternal, undivided love. This research article analyzes Singh's depiction of these themes, emphasizing the emotional resilience and healing of his characters, the validation of complex emotional experiences, and the broadening of love's definition. Through nuanced storytelling, Singh challenges traditional narratives and promotes a more inclusive understanding of love. His works empower readers to embrace new beginnings and recognize the multifaceted nature of love, contributing significantly to contemporary discussions on relationships and emotional recovery.

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Second Love, Multiple Love, Ravinder Singh

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Along with the development of the world economy, renewable energy has become an indispensable part. Currently in Vietnam there are many companies producing renewable energy, especially solar energy, showing the dynamism of the solar panel manufacturing market. But there is a problem: if the panels expire after their useful life, if not recycled, they will cause waste and seriously affect the environment. Recycling technologies will help take advantage of important components in solar panels, even using them entirely. Precious metals such as Silver and Lead are separated and reused to help save resources and capital costs. There are 4 ways to recycle solar panels: Mechanical, Thermal, Chemical, High Temperature Density Seperation. Research applying the Analytical Hierarchy Process method to select the best option to recycle solar panels for companies in Vietnam, which is High Temperature Density Seperation.

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Solar Energy, Solar panel recycling, Analytical Hierarchy Process (AHP)

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These abstract highlights the significance of machine learning in analyzing surface water dynamics amidst climate change. It emphasizes how traditional methods struggle with the complexity of data generated by climate-induced alterations, while machine learning offers promising avenues for extracting meaningful insights. By leveraging techniques such as neural networks and decision trees, machine learning can identify intricate relationships between climatic variables and surface water dynamics, aiding in hydrological modeling, flood forecasting, water quality assessment, and ecological impact evaluation. The abstract stresses the importance of interdisciplinary collaboration to harness machine learning's full potential and develop robust strategies for adaptation and mitigation, promoting the resilience of water-dependent ecosystems and human communities.

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Machine Learning, Model Selection and Training, Correlation Matrix, Interpretation and Visualization, Water Quality Monitoring, Decision Support Systems, Adaptation Strategies, Graphical User Interface

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Reinforcement learning is a powerful framework for training autonomous agents, including bots, to make intelligent decisions in complex and dynamic environments. This approach leverages the principles of trial and error, also can be termed as Curiosity-Driven Approach, where bots learn by interacting with their surroundings, receiving feedback, and adapting their behavior to maximize cumulative rewards. In this paper, we provide an overview of reinforcement learning, its core components, and the training process for bots. This Research Paper also addresses challenges and considerations in training bots through reinforcement learning,including the need for careful reward design, exploration strategies, and fine-tuning hyperparameters. We discuss real-world applications of reinforcement learning in domains like self-driving cars, robotics, and natural language processing.

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Machine learning, Reinforcement Learning, Curiosity-Driven Approach.

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Approximately 70% of people in India make their living from agriculture. A variety of tasks, including planting seeds and plough work, are essential in the agricultural sector. The methods now in use for these jobs are difficult and need costly and heavy machinery. In order to improve India's agricultural system, a method that minimises time and manual labour must be developed. The goal of this project is to create a solar-powered soil-plow and seed-spreading robot. The system as a whole runs on solar power, offering a sustainable alternative. This solar-powered seed-spreading and soil-ploughing device is intended to help farmers in isolated locations without easy access to fuel. This concept, if put into practice on a commercial basis, may help approximately 70 percent of Indian farmers as well as meet the demands of little gardens that are starting to appear in urban areas. This demonstrates the machine's excellent efficiency and flexibility in handling different agriculture circumstances with in this research we have done FEM analysis actual experimentation on multipurpose agriculture machine.

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Solar panel, Battery, Adapter, seed spreader, Soil Ploughing etc

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Skills provided to a young girl child improvise the vitality to the human resource of a nation and provides for a continuous stand at the forefront, in times of prosperity and adversity as well. Skills are not only an add-on trait, indeed it is an essential qualification to be pursued in the parallels of primary education. This study would enable to understand the importance of skills to be put on by the girl child and the factors considered are early stage of acquiring of skill, initiative of policy makers and the socio-environment of a girl child. The girl child age considered in this study is childhood, specifically early childhood and middle childhood.

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Girl child, Early Learning, Skill Design, Learning Environment & Girl child's safety

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