ABSTRACT
Introduction: Tele-rehabilitation is a method of delivering rehabilitation services using information, technology and communication to everyone, irrespective of their geographic location. National zeal for competitive sports and COVID pandemic has led to an increase in its demand and popularity worldwide. The athletes need immediate treatment and correct rehabilitation to keep them in their game. This review aims to bring into perspective the importance of telemedicine and telerehabilitation in orthopaedics and sports medicine with a focus on virtual reality. Methods: Articles were searched based on suitable keywords 'telemedicine', 'telerehabilitation' 'orthopedics', 'orthopaedics', 'sports' and 'India*' which were combined using suitable boolean operators in PubMed, Scopus and Web of Science. Government guidelines and laws were also reviewed in view of telehealth and telemedicine. Conclusion: Tele-rehabilitation and virtual physical therapy are innovative and cost-effective ways to provide the best rehabilitative services to the patients at their doorstep. Virtual reality should be incorporated into the Indian telehealth delivering system with a special focus on the remote athlete population.
ABSTRACT
The MSMEs in India constitute roughly 98% as micro enterprises and hardly 1% as medium enterprises. During COVID, it was observed that the MSMEs in India were in financial distressand the MSMEs roughly around 45lacs linked to the bank were given working capital up to Rs3 lac crores. But some of them could not extended their financial assistance as they must have not been seriously affected. It is on record that roughly 60 lacs MSMEs have been closed down because of the non-availability of financial assistance. Which they needed after the reopening started. The unemployment rate for the semi-skilled workers in the age group of 18 to 25 is very-very alarming. Unless there is a proper main streaming of the MSMEs, the struggle of MSMEs will appears to be continuing for long. Of late, the government has revised the policy of special economic zones. Which were expected to contribute towards export. But they couldnot enhance the SEZ in any state where they are located can contribute in the domestic production. The Government is facing difficulty in deciding a policy by which the global supply chain could be strengthen and the companies leaving china could also be attracted in India. The paper has pointed out that the manufacturing in India is not so healthy because of complication in labour laws, cost reducing logistics and the hassle full environment in customs.In case these issue are tackled on piecemeal basis the result cannot be so cherish able. But in case the states like Rajasthan and Chhattisgarh, they developed their own policy and indulge in appropriate reforms of labour. The result can be favourable and the issue of employment will be taken as solved. © 2022
ABSTRACT
The coronavirus disease (COVID-19) also known as SARS-Cov-2 has largely impacted the entire globe physically, economically, and psychologically. The detection of the virus in early stages is extremely crucial for faster recovery in patients and curbing its spread as its nature is highly contagious. Although several techniques are present today for the detection of coronavirus, they are laborious in nature, costly, require experts from medical science, and the accuracy is questionable in some of the traditional methods. This brings the need to search for a faster and reliable technique. Computer vision produced remarkable results in predicting the onset of various diseases, and the use of machine learning in healthcare has increased tremendously owing to the fast speed and high accuracy of results with minimal human intervention. Hence, this research paper aims to develop a computer vision-based artificial intelligence model that can predict the occurrence of coronavirus using electron microscopic images of the samples. In order to achieve the goal, YOLO v3 object detection algorithm using non-maxima suppression is used to classify whether a particular sample has coronavirus or not. It is proved that the proposed algorithm works faster than existing methodologies with considerably higher accuracy for detection of coronavirus. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
COVID-19 is spreading widely across the globe right now. India just went through the second wave of COVID-19 pandemic and has lost more than 425,000 people to this pandemic till date. Most of the other countries have gone through the second wave, with some countries experiencing third and fourth waves. In such difficult times, there is a shortage of resources everywhere. Planning is the need of the hour, and all the countries are expanding their resources, keeping future demands in mind. Some of the states of India, like Kerala, are also expecting imminent danger of the third wave. In this study, we are predicting the arrival and peak of the third wave in Kerala. We also provide the mathematical models and theoretical background to reach such expected dates. Prediction of this type helps to suggest the preparation needed to tackle the upcoming disaster. Governments can prepare themselves so that there is minimal damage to life in future. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
Background and Objective: An enzyme that inhibits the receptor could make it more difficult for coronavirus to reach cells. The key protease necessary for coronavirus proteolytic maturation is the recognized coronavirus 3-chymotrypsin-like protease 3CLpro, also known as Mpro. This Mpro is needed for immune control and the cleavage of the polyproteins pp1a and pp1ab, making it a promising target for anti-COVID-19 drugs. As a result, inhibiting the Mpro enzyme inhibits viral maturation. Bioactive constituents obtained from some selected indigenous plants of India, which have been reported to have antiviral potential, were subjected to virtual screening against ACE-2 and Mpro in the current study. Materials and Methods: Cresset's Flare 4.0 was used to establish the 3-D structure of all the compounds. Complete optimizations of these constructed structures were carried out. While performing the minimization, the spin state of the wave function was set to the singlet and standard SCF convergence was used for optimization, all other parameters were left at their default values. The Protein Data Bank (https://www.rcsb.org) was used to download the 3-D structures of Mpro from COVID-19 (PDB ID 6LU7) and ACE-2 receptor from Human (PDB ID 1R4L). Results: The findings show that these phytochemicals can bind to ACE-2 and Mpro more effectively as compared to reference compounds and act as inhibitors. Conclusion: The findings of virtual screening of these bioactive constituents revealed that most of them are more active than the reference compounds. Therefore, they could be used to produce antiviral drugs against Coronavirus in the future.
ABSTRACT
An outbreak of coronavirus pneumonia was firstly documented in Wuhan, Hubei Province, China (December 2019), with an indication of human-to-human transmission. The causative agent identified for coronavirus disease 2019 (COVID-19) is the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). America, Italy, India, and Africa became new venues of COVID infection;the overall data of patients and death is increasing day by day. Generally inplace of most of the infected people develop respiratory symptoms (throat pain, cough, etc.), fever, and chest opacity on CT scan and X-ray. A few numbers of suspected persons are found asymptomatic;they may serve as carriers for infection. As a point of care, the patient diagnosis is compulsory, and only the diagnosis can provide a real-time condition of patients and can be helpful in arresting the spreading of the infection. In the present chapter, we focused on illustrating various diagnostic techniques that have been employed by the world for the detection of the coronavirus. The diagnostic techniques are categorized into molecular and serologic assay techniques. The nucleic acid is detected in molecular assay, whereas the serologic assay uses antigen-antibody reaction. © Springer Nature Switzerland AG 2021.