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Corona -virus disease commonly known as COVID-19 that outbreak in late December 2019 is continuously spreading worldwide and infecting people due to which it's required to analysis research on the expansion of CODID-19.In this research, a more improved model. HYBRID ARTIFICAL MODEL (AI) is suggested for prediction. In conventional model, it treats similar infection rate for all people, an improvised ISI (improved susceptible-infected) is suggested to gauge the infection rate to calculate the development mode. We have build the hybrid AI model by using natural language processing(NLP) model and long short-term memory(LSTM) network modules inside ISI module.According to the attentive results, it represents more infections from three to eight days.In comparison to both the models , our developed new AI model can remarkably reduces the prediction result's error and prevail the mean percentage errors with different percentage for the six consecutive days in different countries.For example-China , Italy, France, etc. © 2022 IEEE.
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Objective: The objective of the study was to find out any peculiarities in the epidemiological and clinical profiles of COVID-19 cases, admitted in the hospital;which may be useful in management of health services in future. Method(s): Retrospective analysis of hospital records of COVID-19 cases admitted from March to May 2021 in our COVID hospital. A total of 1332 hospital case records were analyzed. Result(s): Out of 1332 admitted COVID-19 cases, 50% were in age group 40-60 years. About 60% cases were male. Symptoms were fever (88.29%), sore throat (70.64%), breathlessness (58.84%), loss of smell (58.82%), pain in abdomen (53%), loss of taste (35.29%), and diarrhea (29.43%). Most cases had multiple symptoms. About 60% cases came in serious condition. About 65% cases needed intensive care unit admission. About 50% cases expired. Conclusion(s): Only peculiarity noticed in clinical profile was loss of taste and sense of smell in few cases. Preponderance of males in the age group of 40-60 years and high mortality among the admitted cases was only peculiar epidemiological feature. Copyright © 2022 The Authors. Published by Innovare Academic Sciences Pvt Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
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Ethics as applied to medico-dental practice and associated research is called bioethics. From the Journal's inception, contributing authors have explored recurrent themes pertaining to bioethics. This early interest is a tribute to the keen foresight and enduring pride in professionalism that has persisted throughout the evolution of orthodontics. Copyright © 2022 Ubiquity Press. All rights reserved.
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In this paper, the researchers tried to look into the prime factors that led to the Intention to Vaccinate among Indians.Multiple Regression was applied and data was used to validate the Model. Major finding was that the Social Norms (SN), Perceived Benefits (PB), Perceived Safety (PS), Perceived Severity (PSE), Perceived Susceptibility (PSU), Perceived Barriers (PBA) and Perceived Risks (PR) have significant contribution to Intention to Vaccinate. This paper focusses on the Acceptance of Vaccination among the citizens of India during second wave of COVID-19.
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The discovery of the CRISPR/Cas microbial adaptive immune system and its ongoing development as a genome editing tool represents the work of many scientists around the world.The time line of CRISPR/Cas system shows that this technology is improving continuously to remove the demerits of preceding one with the aim of development of highly efficient, specific with low off target effect and ultimately transgene free technology in light of ethical and environmental issues related with transgenic technology.Initially, CRISPR/Cas9 was developed as method of choice as it provides targeted mutagenesis under in vivo condition and all the homeoalleles of a gene can be targeted in same plant, especially in case of polyploid species efficiently which is difficult through other existing technology.No residual or foreign gene insertion is required and modification is permanent.Now, CRISPR/Cpfl has been developed as more potent, efficient and simpler than CRISPR/Cas9.Different forms of Cas enzymes provide new avenues for regulation of genomic component.In view of the present devastating COVID-19 disaster the scientists used this novel technology for detection of virus in humans at an early stage of infection thus saving human lives.The evolution of CRlSPR'Cas technology, their advantages, apprehensions and solution, experimental design and updates of this technology is discussed in the present review. © 2021 Indian Council of Agricultural Research. All rights reserved.
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The COVID-19 pandemic has generated great interest in ultraviolet (UV) disinfection, particularly for air disinfection. Although UV disinfection was discovered close to 90 years ago, only very recently has it reached the consumer market and achieved much acceptance from the public, starting in the 2000s. The current UV light source of choice has been almost exclusively a low-pressure mercury vapor discharge lamp. Today, however, with emerging deep-UV (DUV) chip-scale technologies, there has been a significant advancement, along with ever-increasing interest, in the development and deployment of disinfection systems that employ compact devices that emit in the deep-UV spectral band (200- 280 nm), including UV light-emitting diodes (LEDs) and cathodoluminescent (CL) chips. This perspective looks into competing UV technologies (including mercury lamps and excimer lamps as benchmarks) on their optical merits and demerits and discusses the emerging chip-scale technologies of DUV electroluminescent and cathodoluminescent devices, comparing them against the benchmarks and providing an overview of the challenges and prospects. The accelerating progress in chip-scale solutions for deep-UV light sources promises a bright future in UV disinfection.
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Educational Data Mining (EDM) refers to the field that focuses on using various statistical methods and data mining techniques to draw inferences from large amount of educational data set. Over the years it has been used for student performance prediction by applying various machine learning processes and more recently deep learning. As a result of the lockdown announced after the spread of Covid-19, many colleges were forced to adapt to online learning tools. In this paper, we identify and evaluate the impact of the Covid-19 pandemic and its subsequent fallout in predicting student's academic performance. For this, a data set of various undergraduate students was compiled from March 2021. A Likert-type questionnaire was administered and large number of responses were gathered from various primary and secondary resources. This was subsequently used to validate the proposed methodology. Furthermore, different classification algorithms were used to predict the performance of the student and subsequently compared with one another based on their accuracy. The results show that the excessive use of e- learning tools including smartphones, laptops and tablets have a significant impact on student's academic performance as well as on their psychological health. The work will help us to better understand the impact of the lockdown on student's scholastic performance and point out areas where online-learning methods can be improved. © 2022 Author(s).
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The pandemic of the Coronavirus has a significant impact on people's health and lives. There is a question asked to ourselves whether it is possible to return to normalcy? To do this, a risk-free environment must be developed. COVID-19 virus spreads through the respiratory mainly from infected persons who come in close contact with other beings. Wearing a Face Mask will act as a physical barrier for these respiratory droplets. The main aim of this research paper is to create a face mask detection system using TensorFlow, Keras, and OpenCV that identifies whether or not a person is wearing a mask by monitoring a live video feed and notifying them with a beep sound. An alert system has been integrated with face mask detection system in three phases. In the first phase, the dataset is trained with CNN (using Keras/TensorFlow) with an accuracy of 98.38% The second phase is focused on identifying whether a person is wearing a mask on a live video stream using Haar Cascade Classifier. In the third phase, the alert system is developed. If a person is detected not wearing a mask, he/she gets alerted via beep sound. This face mask detection system can be used at the entrance of universities, airports, hotels, public buildings, Railway Stations, or any major places huge crowds are expected.
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Maize is an important industrial crop where yield and quality enhancement both assume greater importance. Clean production technologies like conservation agriculture and integrated nutrient management hold the key to enhance productivity and quality besides improving soil health and environment. Hence, maize productivity and quality were assessed under a maize-wheat cropping system (MWCS) using four crop-establishment and tillage management practices [FBCT-FBCT (Flat bed-conventional tillage both in maize and wheat); RBCT-RBZT (Raised bed-CT in maize and raised bed-zero tillage in wheat); FBZT-FBZT (FBZT both in maize and wheat); PRBZT-PRBZT (Permanent raised bed-ZT both in maize and wheat], and five P-fertilization practices [P100 (100% soil applied-P); P50 + 2FSP (50% soil applied-P + 2 foliar-sprays of P through 2% DAP both in maize and wheat); P50 + PSB + AM-fungi; P50 + PSB + AMF + 2FSP; and P0 (100% NK with no-P)] in split-plot design replicated-thrice. Double zero-tilled PRBZT-PRBZT system significantly enhanced the maize grain, starch, protein and oil yield by 13.1-19% over conventional FBCT-FBCT. P50 + PSB + AMF + 2FSP, integrating soil applied-P, microbial-inoculants and foliar-P, had significantly higher grain, starch, protein and oil yield by 12.5-17.2% over P100 besides saving 34.7% fertilizer-P both in maize and on cropping-system basis. P50 + PSB + AMF + 2FSP again had significantly higher starch, lysine and tryptophan content by 4.6-10.4% over P100 due to sustained and synchronized P-bioavailability. Higher amylose content (24.1%) was observed in grains under P50 + PSB + AMF + 2FSP, a beneficial trait due to its lower glycemic-index highly required for diabetic patients, where current COVID-19 pandemic further necessitated the use of such dietary ingredients. Double zero-tilled PRBZT-PRBZT reported greater MUFA (oleic acid, 37.1%), MUFA: PUFA ratio and P/S index with 6.9% higher P/S index in corn-oil (an oil quality parameter highly required for heart-health) over RBCT-RBCT. MUFA, MUFA: PUFA ratio and P/S index were also higher under P50 + PSB + AMF + 2FSP; avowing the obvious role of foliar-P and microbial-inoculants in influencing maize fatty acid composition. Overall, double zero-tilled PRBZT-PRBZT with crop residue retention at 6 t/ha per year along with P50 + PSB + AMF + 2FSP while saving 34.7% fertilizer-P in MWCS, may prove beneficial in enhancing maize productivity and quality so as to reinforce the food and nutritional security besides boosting food, corn-oil and starch industry in south-Asia and collateral arid agro-ecologies across the globe.
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The discovery of the CRISPR/Cas microbial adaptive immune system and its ongoing development as a genome editing tool represents the work of many scientists around the world. The time line of CRISPR/Cas system shows that this technology is improving continuously to remove the demerits of preceding one with the aim of development of highly efficient, specific with low off target effect and ultimately transgene free technology in light of ethical and environmental issues related with transgenic technology. Initially, CRISPR/Cas9 was developed as method of choice as it provides targeted mutagenesis under in vivo condition and all the homeoalleles of a gene can be targeted in same plant, especially in case of polyploid species efficiently which is difficult through other existing technology. No residual or foreign gene insertion is required and modification is permanent. Now, CRISPR/Cpf1 has been developed as more potent, efficient and simpler than CRISPR/Cas9. Different forms of Cas enzymes provide new avenues for regulation of genomic component. In view of the present devastating COVID-19 disaster the scientists used this novel technology for detection of virus in humans at an early stage of infection thus saving human lives. The evolution of CRISPR/Cas technology, their advantages, apprehensions and solution, experimental design and updates of this technology is discussed in the present review.
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In the current pandemic, COVID-19 patients with predisposing factors are at an increased risk of mucormycosis, an uncommon angioinvasive infection that is caused by fungi with Mucor genus which is mainly found in plants and soil. Mucormycosis development in COVID-19 patient is related to various factors, such as diabetes, immunocompromise and neutropenia. Excessive use of glucocorticoids for the treatment of critically ill COVID-19 patients also leads to opportunistic infections, such as pulmonary aspergillosis. COVID-19 patients with mucormycosis have a very high mortality rate. This review describes the pathogenesis and various treatment approaches for mucormycosis in COVID-19 patients, including medicinal plants, conventional therapies, adjunct and combination therapies.
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Background: The Coronavirus disease 2019 (COVID-19) pandemic is rapidly evolving and affecting healthcare systems across the world. Singapore has escalated its alert level to Disease Outbreak Response System Condition (DORSCON) Orange, signifying severe disease with community spread. Objectives: We aimed to study the overall volume of AIS cases and the delivery of hyperacute stroke services during DORSCON Orange. Methods: This was a single-centre, observational cohort study performed at a comprehensive stroke centre responsible for AIS cases in the western region of Singapore, as well as providing care for COVID-19 patients. All AIS patients reviewed as an acute stroke activation in the Emergency Department (ED) from November 2019 to April 2020 were included. System processes timings, treatment and clinical outcome variables were collected. Results: We studied 350 AIS activation patients admitted through the ED, 206 (58.9%) pre- and 144 during DORSCON Orange. Across the study period, number of stroke activations showed significant decline (p =0.004, 95% CI 6.513 - -2.287), as the number of COVID-19 cases increased exponentially, whilst proportion of activations receiving acute recanalization therapy remained stable (p = 0.519, 95% CI -1.605 - 2.702). Amongst AIS patients that received acute recanalization therapy, early neurological outcomes in terms of change in median NIHSS at 24 hours (-4 versus -4, p = 0.685) were largely similar between the pre- and during DORSCON orange periods. Conclusions: The number of stroke activations decreased while the proportion receiving acute recanalization therapy remained stable in the current COVID-19 pandemic in Singapore. (Figure Presented).
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Passwords have always been a medium of authentication which is widely used and implemented for accessing control over devices or an account. With COVID-19 pandemic, the entire world stays at home and doing the kind of work from home jobs where the bank transactions, data transfers and all happening through online modes. Situations like these where offline mode has taken a back seat, the online attacks, and security breaches have drastically increased. People can't move and have to serve from their homes but feel protected as they deal and transact through passwords only. But, if these passwords are not fully protected, then it can be exposed to others such kind of situations is risky and breaks user's trust. To avoid such repetitive circumstances user has to be more cautious while keeping passwords. In this article, a secure and easy password generating technique has been proposed based on an attractive Graphical User Interface. This technique is efficient in terms of privacy, security, and memorability. © 2020 IEEE.
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Aims & Objectives: we intend to assess the effect of this mass lockdown on our blood supply management in two phases [phase-I prior to the outbreak] and phase-II[during the outbreak]. Patients/Materials & Methods: This is a retrospective study of twelve months of a blood bank supplying to a multi-specialty tertiary care academic hospital in Lucknow. The study was divided into two phases namely: • Phase-I: pre-pandemic phase [Oct'19 to Feb'20] • Phase-II: the full-blown pandemic phase [Mar 20-sept 20] Results: The whole blood (WB) collected in phase I and phase II were 5517 and 5379 respectively. In Phase I 27 VBDC collected 1153 units i.e. 69% whereas in Phase II only 2 VBDC collected 93 units making it only 6.5% to total collection. The OBDE units in phase I were 218 i.e. 10.9% while in phase II 321 i.e. 23% were discarded. The PRBC demand in phase I was around 296/month for 5 months and was reduced to 284/month in 7 months.Exclusive supply to covid patients in last 5 months were 69units. Discussion & Conclusion: In phase I the WB collected was more and the discarded units were less as compared to phase II. The overall collection was reduced in phase II including the monthly demand of PRBC.With little insight of the disease and everyday learning, by motivating more voluntary donors and health care workers the efficient chain of blood supply and demand can be maintained as the virus is to stay with us for a long time.