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Objectives: Globally, cataract and glaucoma are the predominant causes of blindness. Screening glaucoma in patients referred for cataract surgery is a convenient tool for detecting glaucoma cases in rural population. The COVID period has adversely affected eye care as the routine screening and follow-ups at hospital were substantially reduced owing to pandemic restrictions. We aim to study the impact of COVID on detection of glaucoma in patients with cataract. Method(s): It was a retrospective study conducted to compare the prevalence of glaucoma in rural patients presenting with cataract pre- and post-COVID. Details of 975 consecutive patients each were taken prior to March 2020 (pre-COVID) and after October 2021 (post-COVID) from hospital database and patient case files. Result(s): The prevalence of glaucoma was higher during the pre-COVID time (3.8%) as compared to pre-COVID (3.8%), but the result was not statistically significant. In both the groups, primary open-angle glaucoma was the pre-dominant form of glaucoma, with prevalence being 1.5% and 2.2% in the pre-COVID and post-COVID groups, respectively. The mean intraocular pressure and mean VCDR values were higher in the post-COVID group as compared to the pre-COVID group, and the result was statistically significant. Conclusion(s): This was the first study to compare the prevalence of glaucoma in patients with cataract in rural population in the pre-COVID and post-COVID periods. In the aftermath of the pandemic, the present study emphasizes the role of screening and follow-ups in glaucoma management to prevent irreversible loss of vision.Copyright © 2023 The Authors.
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Pandemic of Coronavirus Disease (COVID-19) has put tremendous pressure on the people of different localities, states and countries. In a short span of time, it spread all over the world. This has affected the social life of people by enforcing them to stay at home and keep social distance. Many developed countries were also not able to handle the situation even though all resources were available with them. This chapter discussed about the symptoms of COVID-19, precautionary measures, ways of spreading the Coronavirus, and technologies used to fight COVID-19. This also discussed about the impact of COVID-19 on business, financial market, supply side, demand side and international trade on Indian economy. © 2022 Scrivener Publishing LLC.
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The study of tautomerism in biologically relevant heterocycles is essential, as it directly affects their chemical properties and biological function. Lactam-lactim tautomerization in pyridine/pyrazine derivatives is such a phenomenon. Favipiravir, a pyrazine derivative, is an essential antiviral drug molecule having notable performance against SARS-CoV-2. Along with a better yielding synthetic method for favipiravir, we have also investigated the lactam-lactim tautomerization of favipiravir and its analogous molecules. Most of these molecules were crystalized and studied for various interactions in their lattice. Many interesting supramolecular interactions such as hydrogen bonding, pi-pi stacking and halogen bonding were revealed during the analysis. Some of these structures show interesting F-F halogen bonding and water channels in their solid state.Copyright © 2022 The Royal Society of Chemistry.
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The necessity of modern intensive care units (ICU) based on IoT is becoming obvious as a result of the population boom and, most notably, coronavirus disease (COVID-19). The continual monitoring of patients' vital indicators (Blood Pressure, ECG, Heart Rate, Blood Saturation, Body Temperature) is one of the most important aspects of an ICU. Existing improvements in informatics, signal processing, or engineering, which potentially reduce the pressure on ICUs, have yet to be implemented. It's possible due to a lack of user participation in research and development. This manuscript focuses on the improvement of a completely integrated system where the doctors can directly connect to patients through the Smart Portable ICU, and physicians can access the patients. Thus, the crucial boundaries of a patient to the concerned specialist at a far-off position have been resolved simply and helpfully. Thus, the specialist can attend to the patient remotely and infuse lifesaving drugs from the distant area if necessary. © 2022 IEEE.
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Background: Healthcare setups in India are encountering a lot of medical, ethical, legal, and social challenges endorsed by the ongoing COVID-19 crisis, modifying the healthcare protocols, which are considered a standard of care. The ethical conflicts are pressurizing the decision-makers of society, to revamp the basic principles and traditional assumptions of our present healthcare modalities. Objectives: This report addresses the common but crucial ethical issues, encountered by healthcare workers e.g., doctors and paramedics in day-to-day healthcare practice during the COVID-19 pandemic. Materials and methods: This report tries to cover several ethical aspects of COVID-19 such as: setting priority of screening;professional responsibility of healthcare workers;dilemma encountered by a doctor;compromise of patient confidentiality;allocation of scanty resources;end-of-life situation, and certain critical clinical scenarios. Results and conclusion: COVID warriors from the health sector possess dual responsibilities of taking utmost care of COVID patients ethically, along with self-protection from this havoc. COVID-19 has taught us the lesson that, extra-ordinary time calls for extra-ordinary measures. Also, intervention performed upon the patient affects not only the patient, but also the whole of society. © 2023, Faculty of Associated Medical Sciences, Chiang Mai University. All rights reserved.
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As the outbreak of COVID-19 increased in various countries. India is also majorly affected with the COVID-19 by that education system is affected, and it has transferred the traditional face-to-face teaching to online education platform. Considering student's perspective on both online and offline learning mode in India, we conducted a survey to collect the data. In that survey questionnaire, focus was on the factors and situation which can affect the education system. Using that data, we used Kruskal Wallis test to collect the evidence for which learning mode is better and Naive Bayes Algorithm, we were able to conclude the results. © 2022 IEEE.
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The global outbreak of SARS-CoV-2, COVID-19 a novel strain of coronaviruses, emerged from Wuhan city of China in December 2019 and was later announced as global pandemic by World Health Organization on March 11, 2020. The infection spread globally and infected over 190 million people with a mortality rate of around 2%. Combating the disease is difficult as no specific therapeutics and vaccines are yet available against the novel coronavirus. Hence, early detection and containment of infected individuals are the best possible approaches to reduce the spread of the infection. The chapter summarized the major diagnostic tools used for detection of COVID-19 along with their advantages and disadvantages. Additionally, the potential therapeutic approaches are also discussed with their current developmental status. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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The construction industry plays a significant role in developing a country's economy. However, the success in this sector largely depends upon the performance of its human resources engaged in different functions. The rapidly developing countries like Malaysia are primarily focusing on improving their infrastructure, ultimately giving rise to a boom in the construction industry, though still, not many studies focused on performance management via a modern working environment. Nonetheless, the present COVID-19 pandemic has driven industries to implement new/modern working methods, but it has yet to be assessed whether the new practices have changed job performance. Dwelling on that, this study explores the modern working possibilities, including flexible work schedules, sabbaticals, and telecommuting, as critical factors affecting employee performance engaged in the construction industry. The data was collected via a survey in Malaysia and then statistically analyzed Structural Equation Modelling. The findings suggest flexible work practices and sabbaticals as critical factors deemed to improve employee performance especially during the recent pandemic of COVID-19. Furthermore, telecommuting is identified as another assertive factor affecting construction performance. Thus, this study will serve as the baseline to further explore the role of these important performance attributes on construction as well as other industries. © 2022, University of Cienfuegos, Carlos Rafael Rodriguez. All rights reserved.
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Drug repositioning (also referred to as drug repurposing) is the method of exploring novel therapeutic indications for Food and Drug Administration-approved clinically implemented drugs. The unique strategy of drug repositioning is used to boost the drug development process since drug discovery is an expensive, arduous, cumbersome, and high-risk procedure. Recently, several pharmaceutical firms have used the drug repositioning technique in their drug discovery and development programs to develop new medications based on the identification of new therapeutic targets. This technique is extremely effective, saves time, is comparatively economical, and has a low chance of failure. Developing appropriate treatment measures to inhibit the spread of Coronavirus disease-2019 (COVID-19) is currently a top priority. As a result, several studies were conducted to build novel therapeutic molecules using diverse strategies of drug repurposing to discover drug candidates against COVID-19 infection that can act as substantial inhibitors against virus particles. By implementing virtual screening of drug libraries, it is possible to identify potential drugs through drug repurposing. A molecular docking approach and calculation of binding free energy are used to estimate binding affinity and drug–receptor interactions. Drug-repurposing methodologies can be divided into three categories: target-oriented, drug-oriented, and disease-oriented, based on the gathered data about the various physicochemical, pharmacokinetic and pharmacological features of a drug candidate. Using computational methods such as homology modeling and molecular similarity, this methodology aids in determining the binding interaction of drug molecules with the target protein of the virus. In this book chapter, we explore a typical set of currently utilized computational techniques for identifying repurposable drug molecules for COVID-19, as well as their supporting databases. We also assess promising drugs anticipated by computational approaches to drugs currently being evaluated in clinical trials. Moreover, we also examine the takeaways from the evaluated research efforts, such as how to competently combine bioinformatics tools with experimental work and suggest a fully integrated drug-repurposing approach to combat the deadly COVID-19 infection. © 2022 Elsevier Inc. All rights reserved.
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Recent advances in computational biology have not only fastened the drug discovery process but have also proven to be a powerful tool for the search of existing molecules of therapeutic value for drug repurposing. The system biology-based drug repurposing approaches shorten the time and reduced the cost of the whole process when compared to de novo drug discovery. In the present pandemic situation, these computational approaches have emerged as a boon to tackle the COVID-19 associated morbidities and mortalities. In this chapter, we present the overview of system biology-based network system approaches which can be exploited for the drug repurposing of disease. Besides, we have included information on relevant repurposed drugs which are currently used for the treatment of COVID-19. © 2022 Elsevier Inc. All rights reserved.
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Pandemics are not the unique features of modern civilization;epidemics/pandemics can be traced back to ancient civilization. History is replete with such pandemics. Coronavirus first originated in Hubei province, China, in November 2019 and then manifested in Wuhan but within a very short span of time it has spread like wildfire all over the world and its impact has been multifaceted. It is indeed an indication of the fact that we live in a truly globalized world. Due to the outbreak of Coronavirus disease-2019 (COVID-19), people lost their lives but due to the consequent lockdown, people lost their livelihood, and the economy is shattered. Global GDP and trade experienced a huge contraction during the period of pandemic and the improvements to date are not worth mentioning. Actually, pandemic acts like a serial killer and its aftermath is devastating on human lives and the global economy. © 2022 Elsevier Inc. All rights reserved.
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The use of mathematical modeling in the exploration of epidemiological disorders has increased dramatically. Mathematical models can be used to forecast how viral infections spread, as well as to depict the likely outcome of an outbreak and to support public health measures. In this paper, we present useful ideas for finding existence of solutions of the novel coronavirus 2019-nCoV/SARS-CoV-2 model via fractional derivatives by using fuzzy mappings. Three classes of fractional operators were considered including Atangana-Baleanu, Caputo-Fabrizio and Caputo. For each case, we introduce the fuzzination in the study of the existence of a system of solutions. A fresh numerical scheme was proposed for each scenario, and then numerical simulations involving various parameters of Atangana-Baleanu fractional-order were shown utilizing numerical solutions. © 2022
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Aim and background: Due to the resurgence of COVID cases many doctors, medical students, and nurses from varied backgrounds, many a time novice to COVID management are deployed in turn from time to time at different COVID care centers and hospitals across India, before they are properly trained and skilled for effective management of COVID and post COVID syndromes, as the disease is relatively new, leading to non-uniform management and documentation. COVID being a contagious disease with newer symptomatology and ongoing research outputs suggesting new guidelines from time to time, which sometimes are conflicting in nature for novice healthcare workers. For uniform and appropriate management to reduce morbidity and mortality, it mandates a unique and effective solution towards guided and error-free disease management, authentic high volume data capture for future research and to trace patient to post COVID condition in the community outside the hospital, virtual patient counselling cum relative visit, generation of the daily patient bulletin, simultaneous teleround of multiple units, and sharing patient's data across multiple specialities and investigation areas. Objective: To have all these above-mentioned facilities over one platform, we aim to test run a cloud-based dynamic mobile application based dedicated device, the C O V I D Device (Covid Operation Vital Information Delivery device) across many hospitals in India simultaneously for COVID and post COVID syndrome management and data retrieval for research. Materials and methods: Two institutes, namely IMS and SUM Hospital and ITER have collaborated to design a cloud-based device having recent COVID guidelines on the management of adult COVID patients. The software has been incorporated into a dedicated handheld device (tablet or android mobile phone), the COVID Device in a dynamic way (when new symptomatology surfaces and new research outcomes on management are published). The important modules pertaining to this COVID Device are Web-based application for Registration Desk and Device-based application for Doctor's Module/Care-givers Module and Patient's/Patient's relative's module. Results: In a pilot, we have successfully test run the COVID device on virtual patients and 2 actual patients in a secondary level COVID ICU and HDU to examine the different functionality of the cloud-based application, namely error-free and guided patient management without missing any point, daily patient relative's counselling and virtual patient visiting by relatives, generating daily patient bulletin, simultaneous tele round of multiple units, and sharing patient's data across multiple specialities and investigation areas and tracing patient to the community after discharge to enquire about post COVID condition and retrieval of data across all module and incorporation of new guideline in a dynamic way and checking the facilities for incorporating other modules namely pediatric module. Conclusion: COVID Device (Adult module) is a very effective tool for COVID and post COVID condition management and research. It has the potential to incorporate other modules namely obstetric, pediatric, and neonatal modules. If used across all hospital of India, it will be a real boost to digital health mission and centralized COVID data management and research in India.
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3,5-Di[(E)-arylidene]-1-[3-(4-methylpiperazin-1-yl)alkyl]piperidin-4-ones 7 a-k were synthesized through dehydrohalogenation of 1-(2-chloroacyl)piperidin-4-ones 5 a-k with N-methylpiperazine (6). High antiproliferation potencies were observed by most of the synthesized agents against both HCT116 (colon) and MCF7 (breast) cancer cell lines relative to the standard references (sunitinib and 5-fluorouracil). The synthesized agents are of dual activity against topoisomerases I and II alpha however, with higher efficacy against topoisomerase II alpha rather than topoisomerase I. Flow-cytometry cell cycle studies support the observed antiproliferation properties and exhibit the capability of 1-(2-chloroacetyl)-3,5-bis[(E)-4-chlorobenzylidene]piperidin-4-one (5 e) and 3,5-bis[(E)-4-bromobenzylidene]-1-[2-(4-methylpiperazin-1-yl)acetyl]piperidin-4-one (7 g) to arrest the HCT116 cell cycle progression at G1/S and G1 phases, respectively. Noticeable anti-SARS-CoV-2 properties were observed by many synthesized agents. 3,5-Bis[(E)-4-chlorobenzylidene]-1-[3-(4-methylpiperazin-1-yl)propanoyl]piperidin-4-one (7 f) is the most effective anti-SARS-CoV-2 synthesized with high SI. Applicability of the highly effective candidates synthesized as antitumor and anti-SARS-CoV-2 is due to the safety observations against normal (RPE1 and VERO-E6) cells. QSAR models validated internally and externally, support their possibility for optimizing more hits/leads.
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In COVID-19 pandemic situations or in critical/emergency conditions patients experience a great problem because of the non-availability of doctors. A person in a medical emergency needs an immediate doctor to monitor and diagnose his/her medical problem and prescribe the medicine. In these types of critical conditions, there is a demand for some smart portable intensive care unit that can transmit the patient's vital parameters and provide this information to the doctor so that the patient gets lifesaving drugs as per the doctor’s prescription. This work proposed a low-cost and Internet of Things (IoT) based smart-portable intensive care unit (S-PICU) that is capable of transmitting the vital parameters of a patient to doctors’ mobile applications when the patient is in a remote location or transit because of a medical emergency. Patients in intensive care units (ICUs) with severe or life-threatening illnesses and injuries demand round-the-clock treatment, so this portable unit fulfils the medical requirement during emergency conditions. The android based mobile application fetches the patient’s data in real-time from the IoT cloud database system. A doctor can receive the patient’s data in digital and analog form on mobile and can easily set the drug infusion flow from their location. The proposed device helps the patient in critical/emergency conditions save a life because it can easily communicate with doctors through a smart mobile application and get prescribed drugs remotely. This device reduces doctors’ movement and better utilization of medical diagnoses. The automation feature of this device improves patient safety and features of this device improve the safety of patients and also the quality of medical treatment.
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Identifying COVID-19 from other populations will help us better communicate health information in the future. Studying 836 students at ITM University and it is discovered that the covid-19 vaccination is accepted by 60.4% of students whereas just 13% of non-believers did, with a further 26% undecided. Many students at ITM University expressed an interest in learning more about the dangers of not being vaccinated, regardless of their personal reasons for not doing so. © 2022 IEEE.
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As the Indian auto-industry entered BS-VI era from April 2020, the value proposition of used cars grew stronger, as the new cars became expensive due to additional technology costs. Moreover, the unavailability of public transport and fear of infection force people toward self-mobility during the outbreak of Covid-19 pandemic. But, the surge in demand for used cars made some car sellers to take advantage from customers by listing higher prices than normal. In order to help consumers aware of market trends and prices for used cars, there comes the need to create a model that can predict the cost of used cars by taking into consideration about different features and prices of other cars present in the country. In this paper, we have used different machine learning algorithms such as k-nearest neighbor (KNN), random forest regression, decision tree, and light gradient boosting machine (LightGBM) which is able to predict the price of used cars based on different features specific to Indian buyers, and we have implemented the best model by comparing with other models to serve our cause. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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The recent times we have seen that not taking proper measures like wearing mask or sanitization is the leading cause of the spread of “COVID-19”. Despite so many rules and regulations around the globe regarding proper sanitization and wearing of a mask, many people tend to ignore wearing of facemask when they are in public places. Although vaccines like covishield, covaxin, AstraZeneca, Pfizer-BioNTech, sputnik, etc. have been developed and the no of cases are decreasing in some countries to stop further transmit of virus it is still necessary to wear a mask in public places. Technology to monitor whether a person is wearing a mask in a public place or not is needed. One potential device like a CCTV camera can be used in this case. We came up with an algorithm “MaskYolo” which can be integrated with CCTV cameras that can detect if a person is wearing a mask or not using You Only Look Once (YOLO) algorithms. For our work, we used YOLOv4 and compared it to its sibling YOLOv4 Tiny. The best precision reached was 93.9 for YOLOv4 and 88.7 for YOLOv4 Tiny. Overall YOLOv4 stands out in all aspects for our model “MaskYolo”. Thus, we can use “MaskYolo” and build a device that detects if a person is wearing a mask or not. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Rhus succedanea (Anacardiaceae) was used to treat multiple human afflictions. Literary works demonstrate that it has many biological activities. Today's research aims to recognize Rhus succedanea Phyto-derived anti-viral compounds against the main protease and spike protein of the viral agent of COVID-19 (SARS-CoV-2) gain insight into the molecular interactions. In the current study, ten molecules taken from R. succedanea are analyzed through docking, derived from the PubChem database. Docking experiments with Autodock vina and PyRx tools were conducted. AdmetSAR and DruLito servers were eventually used for drug-like prediction. Our research shows that the phytoconstituents from R. succedanea, namely, Amentoflavone, Rhoifolin, and Agathisflavone acts against SARS CoV-2 main protease with the binding affinity of-9.3,-8.6 and-8.4 Kcal/mol;Hinokiflavone Robustaflavone and Amentoflavone acts against the SARS-CoV-2 receptor-binding domain of spike protein with a binding affinity of-10.5,-10.4 and-10.1 Kcal/mol respectively. These phyto-compounds can use contemporary strategies to develop effective medicines from natural origins. The substances identified potential anti-viral as likely. However, In-vitro studies are even more necessary to assess their effectiveness versus SARS CoV-2.