Volume 9 | Issue 5 |

 Abstract

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 Keywords

Electromagnetism, flowmeter, Magflow

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Creative Commons Attribution 4.0 and The Open Definition

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Herbal plants have been used since centuries for the treatment of various disease conditions due to their medicine like properties. In traditional system of medicine these herbal plants have been known to possess various activities such as: anticancer, antiulcer, antidiabetic, anti-inflammatory, antimicrobial, antioxidant, antiseptic, analgesic and also found to be effective against various disease conditions as well. Due to this reason these plants have been the part of research since centuries by various scientists and researchers all over the world in order to identify various chemical constituents present in these plants along with their biological uses. This review has been written with the aim to include all studies, experiments done on the phytochemistry and pharmacology of three important medicinal herbal plants: Juniperus communis, Ficus carica and Garcinia indica. This review includes the major results and findings of research and review papers published between 2010-2021 via various search engines like Google Scholar, Pubmed, Sci hub and many more. The aim of this article is to highlight the major phytoconstituents present in all 3 plants which are responsible for contributing to the pharmacological activities exhibited by these plants. To obtain a valid relationship between the chemical compounds present in plants and biological uses. To highlight those areas corresponding to these 3 plants where still more research and reviews are required to be perform by the researchers in order to identify any new chemical constituents present in these plants and to detect any novel pharmacological activities possess by these pants which can further prove to be useful in curing diseases.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Juniperus communis, Ficus carica, Garcinia indica, Traditional uses, Phytochemistry, Pharmacology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Web Development, HTML, CSS, Bootstrap, PHP, MySQL, Naive Bayes, K-Nearest Neighbor, Random Forest, ML

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ĀDIVĀSI-LOKA-PARAMPARĀYĀṀ GRAMASAṀGATHANA-BIMARŚAḤ

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Creative Commons Attribution 4.0 and The Open Definition

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ĀDIVĀSI-LOKA-PARAMPARĀYĀṀ GRAMASAṀGATHANA-BIMARŚAḤ

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Creative Commons Attribution 4.0 and The Open Definition

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Machine learning (ML) based forecasting mechanisms have proved their significance to anticipate in preoperative outcomes to improve the decision making on the future course of actions .The ML models have long been used in many application domains which needed the identification and prioritization of adverse factors for a threat. Several prediction methods are being popularly used to handle forecasting problems. The ML models to forecast the number of upcoming patients affected by COVID-19 which is presently considered as a potential threat to mankind. The COVID -19 predicts the cases in particular area using machine learning algorithms.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

prediction of covid-19, supervised machine learning algorithms

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Creative Commons Attribution 4.0 and The Open Definition

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Pneumonia is a life-threatening and contagious disease of the respiratory system caused mainly by bacteria, fungi, or viruses that infect a person's lungs with a load of fluid. Common technique are used to diagnose pneumonia is chest x-ray report and it needs a medical professional to evaluate the outcome of the X-ray report. Earlier troublesome methods of detecting pneumonia increase mortality due to unawareness with improper diagnosis and treatment. Computer technology is emerging these days, the development of an automatic system to identify pneumonia and treating the disease is now possible especially if the patient is in a distant area and medical services are limited. The main aim of this paper is to identify pneumonia automatically using X-rays images. This study will provide accurate detection of pneumonia and intends to apply deep learning methods to ease the problem. Convolutional Neural Network is highly optimized that perform the complex task of detecting diseases like pneumonia to assist medical experts in the diagnosis and possible treatment of the disease. This model is trained to classify between normal and pneumonia from the chest X-ray images. The first model achieves an accuracy of 95.64% and the second model achieves accuracy of 94.92%. Adam optimizer is used to optimize the model.

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Creative Commons Attribution 4.0 and The Open Definition

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Pneumonia, Chest X-ray, Convolutional Neural Networks, Disease Detection

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Creative Commons Attribution 4.0 and The Open Definition

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Smart phones have become a vital element of public life because of satisfaction and dependency on these smart phones are really very high. This article studies the customer satisfaction on usage of various smartphones. The sample of 50 has been collected from various colleges between the age of 16-25 years in Bangalore. The research is based on descriptive method under which, Questionnaire method is being used.From this study it is concluded that the customers are more interested in product features like outer appearance (design), camera and battery life. So, the manufacturers can concentrate more on these factors while manufacturing the product and also that the customers prefer to buy a cell phone through company showroom and majority of the respondents who are using Samsung mobile phones responded that they prefer to buy Redmi

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Smartphone, Customer Satisfaction, Mobile Phone users

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

KUMAUANI LOKSANSKRATI ME MAHILA KALAKARO KA YOGADAN

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Creative Commons Attribution 4.0 and The Open Definition

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KUMAUANI LOKSANSKRATI ME MAHILA KALAKARO KA YOGADAN

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Creative Commons Attribution 4.0 and The Open Definition

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Vehicle Registration System is a web application created in java and it is executed by utilizing windows apparatus. Vehicle registration system is principle module of smart road transport management solution , which mechanizes the vehicle registration cycle and makes it an extremely smooth ,easy ,secure interaction .The enrollment of these vehicle online will be a decent pacemaker as opposed to doing it physically .So here is a framework where we can enlistment of the vehicles on the web.

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Creative Commons Attribution 4.0 and The Open Definition

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Vehicle registration process

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Creative Commons Attribution 4.0 and The Open Definition

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The project was developed as a part of importance of Solar charging in Electric Vehicle and the communication through Li-Fi along with it. The charging of the vehicle takes a lot of time and this time can be very boring for the user of the vehicle. To solve this problem and decrease the charging time of the vehicle this project is made. The charging will be done with the concept of Solar charging and instead of solar energy we will be using the LED light of high luminous intensity. The project will use the brightness of the Smd LEDs which have a very high luminous intensity and boost the charging of the battery. Along with the charging of the battery there will be a communication process through the solar panel with the concept of Li-Fi. This process will entertain the user of the car along with the fast charging.

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Creative Commons Attribution 4.0 and The Open Definition

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Li-Fi, Solar Panel

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Creative Commons Attribution 4.0 and The Open Definition