Volume 10 | Issue 6

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Background: Chronic fatigue syndrome is a debilitating disorder of unknown aetiology. As per recent studies, it predominately affects adults, with a peak age of onset of between 20-45 years with a female to male ratio of 3:1. Even though disease is having well established clinical features, diagnosis is still of exclusion i.e. mainly from other medical condition. Treatment options include cognitive behavioural therapy & Graded exercise therapy, both are which shown symptomatic relief as per studies. No alternative medicine have been proven efficacy. A?gamarda pra?amana Mah?ka??ya is one such group of medicine having multidisciplinary action. Aim: To evaluate the efficacy of A?gamarda pra?amana Mah?ka??ya Ghanava?i in chronic fatigue syndrome. Material & Method: Present study is an open labelled, Non-Comparative clinical study, conducted on 20 subjects with chronic fatigue syndrome, treated with A?gamardapra?amana Ghanava?i. Subjective assessment was done based on CDC Criteria. Results: Subjects responded well for treatment. Significant results were observed on all cardinal symptoms of chronic fatigue syndrome. Conclusion: A?gamarda pra?amana Mah?ka??ya Ghanava?i shown significant results in chronic fatigue syndrome.

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Chronic fatigue syndrome, A?gamarda pra?amana Mah?ka??ya Ghanava?i, Cognitive behavioural therapy, Graded exercise therapy.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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electric vehicle, charging, infrastructure, navigation system, android, application, EV, user, owner, station.

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Human Emotion, Deep Learning Technology.

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This paper's purpose is to describe how blockchain security and its features like leger keeping and tracking combined with pension system can be easy and helpful for pensioners. Similar different research are conducted and noted by the different researchers which was also taken in consideration during this review research paper. The main objective is to implement the following features and security into the existing pension system. If in future by using this research one can create a blockchain pension secured app or software which will bring ease in day to day life. The research methodology and Analysis & findings shows how this concept will be used or adopted by the public or not for further use. This paper describes an overview around the vast world of blockchain its feature and concepts with applications and example with respects to the pension system. The security of blockchain can be implemented in the existing system of pension or not can be conclude with the conducted survey and other methods mentioned in this paper.

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Blockchain security for pension, Pension system, Blockchain, Pension system in India, Blockchain India, Blockchain uses, Blockchain advantages

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A machine that can do locomotive tasks is referred to as a mobile robot. Mobile robots cover a wide range of large-scale manufacturing and commercial sectors. Robotic manipulators are now mounted on a movable platform rather than being fixed to a manufacturing line. Flexibility has greatly improved because it is now possible to move around and carry out necessary tasks whenever it is most efficient. As robotic technology develops, robots are able to do tasks that are getting more complicated. Robotic workers can be programmed to perform even the riskiest tasks, never get tired, and don't need to be paid. This project's objective was to integrate several current technologies and hardware controllers into a system that could carry out security-related duties. A crucial element of the safety and security system, video surveillance is fully integrated. Video surveillance is precise, timely, and allows for the sharing of the data gathered. Along with network and image processing developments, the video supervision technique has evolved recently. In recent years, the cost of hard discs has decreased due to greater capacity. The system for video surveillance has been improved and modernized.

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Mecanum wheels, Time of flight sensor, Autonomous, LiDAR, Robotics.

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Entrepreneurial ecosystem, Elements

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This paper deals with the prediction of Diabetes Disease by using SVM, KNN, Decision Tree, LR, Random Forest Classifiers. Further, by incorporating all the present risk factors of the dataset, we have observed a stable accuracy after classifying and performing cross-validation. We managed to achieve a stable and highest accuracy of 90%. We analyzed why specific Machine Learning classifiers do not yield stable and good accuracy by visualizing the training and testing accuracy and examining model overfitting and model underfitting. The main goal of this paper is to find the most optimal results in terms of accuracy and computational time for Diabetes disease prediction.

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Diabetes disease, Machine learning(ML), SVM, KNN, Decision Tree, LR, Random Forest Classifiers.

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Keywords: Legends, Myths, fables, folktales, children, life lessons, thought provoking.

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Internet of Things, Microcontroller, sensors, automate

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Artificial Intelligence ,Raspberry Pi, Arduino.

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The idea behind the project is to develop a system that can provide additional security to our defense system. We are introducing a system that can be used in extreme climatic conditions where it is difficult to deploy our army personnel. Our project is used for the detection of intruders, identifying them, and stopping them without any human loss. we use the ultrasonic sensor to detect the obstacle using the echo signals and we use cameras to capture the image of the intruders. Then we are using a laser to demonstrate a gun firing toward the intruder. A buzzer is connected to an Arduino microcontroller which can be used to warn the nearby local station. This project makes a huge difference in our defense system by eliminating any human less.

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Scanning, Detecting, Live Streaming, Shooting

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E-Paper is invented by Nick Sheridon in 1970. E-Paper are just like traditionalpaper. E-Paper are E-papers of the future are just around the corner, promising to hold libraries on a chip and replace most printed newspapers by the end of the decade. They are made of flexible material, require ultra-low power consumption, are cheap to manufacture, and most importantly, are easy and convenient to read. E-paper is a portable form of electronic paper. Reusable storage and display media that resembles paper but that can be written on (refreshed) thousands or millions of times via electrical means. E-paper will be utilised for e-books, electronic newspapers, portable signs, and foldable, rollable screens, among other applications. The data to be shown is either retrieved from a computer or a cell phone, or it is manually made using mechanical tools like an electronic "pencil." This article explores the past, present, and future of the subject.

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Electronic paper, E Ink, Invention, Printing, Innovation, Print Media

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Driver Drowsiness, Mouth Opening Ratio, Eye-Aspect Ratio, Nose-Length Ratio, Python, OpenCV

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The most common challenges faced nowadays by teachers at academic level is to attract or retain the attention of children and commitment towards education.Thus new and thrilling methodologies were developed to support teachers .The agile teaching/learning methodology is specifically designed for distance education from the field of software engineering and leveraging upon concepts from a agile software methodology. This paper explains the objectives which are behind agile teaching methodology and process architecture of the methodology used in distance learning . Agile methodologies that have pursued educational approaches and to provide a detailed explanation of features regarding educational context .

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Agile Methodology , Extreme programming, Scrum ,Software engineering

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BACKGROUND: Corona Virus is global pandemic disease accord in China and is spread worldwide. Patients suffering from COVID-19 suffer from severe pneumonia develop ARDS. Patients with COVID-19 show clinical features like fever, cough, shortness of breath, chest tightness, hemoptysis, loss of appetite, nausea, vomiting, diarrhea, abdominal pain, muscle pain, headache, smell or taste disfunction. Respiratory muscle weakness is an important issue after a COVID-19 infection. AIM: To study the effect of Inspiratory Muscle Training on Maximum Inspiratory Pressure in COVID-19 patients. METHOD: Following an explanation of the study to participants, signed agreement was obtained. 34 participants both male and female were included. Pre assessment (MIP measured by using digital manometer and dyspnoea related anxiety using BBQ.) were done. Post assessment (after 2 weeks MIP measured by using digital manometer and dyspnoea related anxiety using BBQ) were done. Treatment was given 2 sessions daily, 5 days a week for 2 consecutive weeks. RESULT: The statistical analysis was done using paired t test, which showed significant improvement in post exercise protocol. CONCLUSION: The result of the study shows that inspiratory muscle trainer improves inspiratory muscle strength in COVID-19 patients thus improving their dyspnoea related anxiety by giving relatively lesser scores than pre-treatment BBQ result. Hence inspiratory muscle trainer can be effectively used to improve inspiratory muscle strength and dyspnoea related anxiety in COVID-19 patients. KEY WORDS: COVID-19, Dyspnoea, inspiratory muscle trainer device, breathlessness belief questionnaire (BBQ), inspiratory muscle strength.

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COVID-19, Dyspnoea, inspiratory muscle trainer device, breathlessness belief questionnaire (BBQ), inspiratory muscle strength

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The photo-degradation of newly synthesized of Zn doped and NiO nanoparticles were done by simple novel sol gel method, this method is low cost method and simple. Effect of different wt% of Zn dopant in NiO was studied on photocatalytic degradation of Toluidine Blue. The study suggested the increased photocatalytic degradation with increased time duration. The synthesized samples were analyzed by surface electron microscopy (SEM) and X-ray diffraction studies.

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NiO nanoparticles, doping, sol-gel, photocatalytic activity

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Air pollution and its detriment to mortal health has come a serious problem in numerous metropolises at the world. In recent times, exploration interests in measuring and prognosticating the quality of air around people has spiked. Since the Internet of effects (IoT) has been extensively used in different disciplines to ameliorate the quality life for people by connecting multiple detectors in different places, it also makes the air pollution covering further easier than ahead. Traditional way of using fixed detectors cannot effectively give a comprehensive view of air pollution in people's immediate surroundings, since the closest detectors can be conceivably long hauls down. Our exploration focuses on modeling the air quality pattern in a given region by espousing both fixed and moving IOT detectors, which are placed on vehicles patrolling around the region. With our approach, a full diapason of how air quality varies in near regions can be anatomized. We demonstrate the feasibility of our approach in effectively measuring and prognosticating air quality using different machine learning algorithms with real world data. Our evaluation shows a promising result for effective air quality monitoring and vaticination for a smart megacity operation.

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IoT sensors, PM2.5,PM 10 values

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