Prediction of Covid-19 disease using machine-learning-based models

According to Chinese health officials, almost 250 million people in China may have caught Covid-19 in the first 20 days of December. Due to the Covid-19 pandemic and its global spread, there is a significant impact on our health system and economy, causing many deaths and slowing down worldwide economic progress. The recent pandemic continues to challenge the health systems worldwide, including a life that realizes a massive increase in various medical resource demands and leads to a critical shortage of medical equipment. Therefore, physical and virtual analysis of day-to-day death, recovery cases, and new cases by accurately providing the training data are needed to predict threats before they are outspread. Machine learning algorithms in a real-life situation help the existing cases and predict the future instances of Covid-19. Providing accurate training data to the learning algorithm and mapping between the input and output class labels minimizes the prediction error. Polynomials are usually used in statistical analysis. Furthermore, using this statistical information, the prediction of upcoming cases is more straightforward using those same algorithms. These prediction models combine many features to predict the risk of infection being developed. With the help of prediction models, many areas can be strengthened beforehand to cut down risks and maintain the health of the citizens. Many predictions before the second wave of Covid-19 were realized to be accurate, and if we had worked on it, we would have decreased the fatality rate in India. In particular, nine standard forecasting models, such as linear regression (LR), polynomial regression (PR), support vector machine (SVM), Holt's linear, Holt-Winters, autoregressive (AR), moving average (MA), seasonal autoregressive integrated moving average (SARIMA), and autoregressive combined moving average (ARIMA), are used to forecast the alarming factors of Covid-19. The models make three predictions: the number of new cases, deaths, and recoveries over the next 10 days. To identify the principal features of the dataset, we first grouped different types of cases as per the date and plotted the distribution of active and closed cases. We calculated various valuable stats like mortality and recovery rates, growth factor, and doubling rate. Our results show that the ARIMA model gives the best possible outcomes on the dataset we used with the most minor root mean squared error of 23.24, followed by the SARIMA model, which offers somewhat close results to the AR model. It provides a root mean square error (RMSE) of 25.37. Holt's linear model does not have any considerable difference with a root mean square error of 27.36. Holt's linear model has a value very close to the moving average (MA) model, which results in the root mean square of 27.43. This research, like others, is also not free from any shortcomings. We used the 2019 datasets, which missed some features due to which models like Facebook Prophet did not predict results up to the mark;so we excluded those results in our outcomes. Also, the python package for the Prophet is a little non-functional to work on massive Covid-19 datasets appropriately. The period is better, where there is a need for more robust features in the datasets to support our framework. © 2023 River Publishers.

Human Impacts on Natural Habitats Leading to Covid-19 Pandemic

In the history of mankind, coronavirus disease 2019 (COVID-19) has emerged as one of the most alarming pandemics. The causative organism of COVID-19 is severe acute respiratory syndrome (SARS) coronavirus 2 (SARS-CoV-2) that has affected humans with high infection and mortality rates. SARS-CoV-2 is proposed to be a zoonotic virus with reservoir animals being bats or pangolins. The continuous emergence of zoonotic diseases in the last 100 years has indicated the linkages between anthropogenic activities and the onset of novel pathogenic microorganisms in the human population. Effect of the devastation of the environment and natural habitats are reasons for an increasing number of zoonotic diseases impacting mankind in the last few decades. Several of the zoonotic microbes are known to have jumped from wild animals or birds to humans causing severe outbreaks. Deforestation, unplanned urbanization, air pollution, climate change, bushmeat trading, and consumption are some of the important factors that are correlated with each other and influence the emergence of pandemics such as COVID-19. COVID-19 has also proved to be a learning for the future suggesting the importance of environmental sustainability and achieving the targets of United Nation Sustainable Development Goals (SDGs 2030). © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2021.

Labour welfare and industrial hygiene during COVID-19

This .study aims to define essential principles that the organization must follow in labour welfare during COVID-19. It is a vital facet of industrial relations, the extra dimension that provides satisfaction to workers in a way that no amount of money can do so. The government initiates statutory laws from time to time to bring about some uniformity in the basic facilities provided to industrial workers since it is not confident that all employers are progressive and provide basic welfare measures. Industrial hygiene has been defined as science and art devoted to the anticipation, recognition, evaluation, and control of those environmental factors or stress arising in or from the workplace, which may cause sickness, impaired health, and significant stress among workers or the citizens of the community. Because it is a labor-intensive sector, it has a greater emphasis on employee welfare. The authors choose a bakery industry personnel's stress analysis during COVID-19 for this research work. © 2023 by IGI Global. All rights reserved.

Development of a low-cost model for laparoscopic pyeloplasty simulation

Aims: Simulation is increasingly important in the training of paediatric urology;training time lost due to the Covid-19 pandemic, patient safety concerns and the uptake of technology (i.e., robotics) means that trainees must develop new methods of attaining operative competency. Laparoscopic pyeloplasty can be technically challenging and involves a steep learning curve to be confident in performing this procedure independently. We therefore aimed to develop a low-cost, high-fidelity model which trainees could create using easily available materials. Method(s): Unique Party Balloon (Unique Party Store)-1200 Scarlet Red (pack of 10) [2.34] were filled with cotton wool pads (2 packs of 50 rounds 1-Aldi) and fashioned into a kidney shape. Pink 102 latex Balloons (PABBEU) [4.99] were filled with a 50 ml of water to create the renal pelvis and superglued (Loctite pack of 3, Ryman) [4.99] to the kidney. Then Long Pastel Twisting Balloons (pack of 50)-[4.29] were attached over the tied end of the renal pelvis creating the ureter. The model was then secured into the Laparoscopic box trainer using Velcro Hook and Loop Coins (Syntego, 105 pack) [2.95]. Result(s): The model was utilised in departmental skills sessions. Feedback demonstrated the model provided a realistic feel performing the anastomosis due to the latex, water-filled, balloons. Total cost per model was 1.10 (20 models). Conclusion(s): We demonstrate a low-cost model of laparoscopic pyeloplasty which trainees can create easily themselves. However, further work will be needed to improve the model for anatomical relations, particularly crossing vessels.

Two possible futures of online learning

During the COVID-19 pandemic in 2020, online learning became mainstream, enabling schools to continue operation even with students and teachers physically separated. In this chapter, we extend the trends we observed in pandemic online learning to describe two possible futures for online learning, one dystopian and one utopian. We argue that what differentiates these futures is less about the technological tools used and more about the broader processes, systems, and culture embedded with online learning. We call for deliberate reflection on the dynamic relationship among technological tools, processes, experiences, systems, and culture as we shape the future of online learning. © 2022 Nova Science Publishers, Inc. All rights reserved.

A Review of Marine Natural Product Resources with Potential Bioactivity Against SARS-COV-2

The emergence of new pathogenic viruses and the constant outbreak of viral diseases have created an upsurge in novel antiviral agents. Marine natural products are the most unexplored reservoir of novel, biologically active, chemically diverse compounds. A systematic literature review was conducted using PRISMA guidelines, accessing four major databases;PubMed, Science Direct, Scopus, and Google Scholar. Numerous studies supported the robust antiviral activity of marine resources against drug-resistant viruses such as SARS, Ebola, Influenza, and HIV. However, adequate research on marine resources for developing anti-covid therapy is lacking. The aim of the review was to explore the marine resources and their compounds that could lead to developing an effective antiviral drug. We also highlighted the current status of novel compounds against different species of corona family and discussed the future prospects of marine resources against COVID-19 management.Copyright © 2023 the authors.

Perception Towards Blended Learning at the Time of Covid-19 Pandemic

Blended learning mixes offline learning activities and resources with online learning activities and resources. The goal of blended learning is to minimise the time spent sitting in class, which is a significant advantage for a College / university. It might aid university officials with enhancing programmes that have low enrollment, reducing expenditures, and fulfilling staff teaching responsibilities. The study is focusing on the perception of the college students towards the online learning program during the pandemic. The blended learning is the unavoidable and safety method of teaching learning process during the pandemic. It is a qualitative study made in Chennai city. The students of higher educational institutions (Arts & Science and Engineering colleges) are considered as samples. 250 sample respondents are selected from the study are using simple random technique. The Google forms was circulated and collected the primary data. Assessment is a very important instrument for measuring the degree of knowledge that a student has in relation to the topic in which they are enrolled in any level of education. Teachers are able to give the lecture and measure student learning via the use of unique and inventive approaches when they use blended learning strategies.Copyright © 2022 Ubiquity Press. All rights reserved.

Evolution, pathophysiology and genetic modulation of novel Coronavirus

Recently, and after its emergence in Wuhan, China, the COVID-19 infection caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread in almost every country in the world. This infection has appeared as a subject of intensive debate and concern among most of the government's public health systems, researchers, and policymakers. The severity of this zoonotic disease upshot a pandemic situation, which has a long-term impact on the personal, behavioral, social, and economic, as well as on the political and state affairs. Variations in COVID-19 severity made the situation more critical to elucidate the genomics, and genetic pathways linked to susceptibility and transmission of SARS-Cov-2 infection. The current study aimed to shed some light on SARS-Cov-2 infection and COVID-19 introduction, as well as the evolutionary history, structure, pathophysiology, genetic modulation, diagnosis, and treatment, in order to provide insight into pandemic flinch, its emergence, and progression around the world. The current study also provides a summary of the near future possibility of developing the appropriate medication for COVID-19 treatment and management through the identification of new therapeutic target molecules, including vaccine development and appropriate preventive and control measures. © 2022, Egyptian Association for Medical Mycologists (EAMM). All rights reserved.

Total Stromal Fraction (TSF)-Fortified Adipose Tissue-Derived Stem Cells Source: An Emerging Regenerative Realm Against COVID-19 In-duced Pulmonary Compromise

The inception of the COVID-19 pandemic has jeopardized humanity with markedly dam-pening of worldwide resources. The viral infection may present with varying signs and symptoms, imitating pneumonia and seasonal flu. With a gradual course, this may progress and result in the deadliest state of acute respiratory distress syndrome (ARDS) and acute lung injury (ALI). More-over, following recovery from the severe brunt of COVID-19 infection, interstitial portions of alve-oli have been found to undergo residual scarring and further to have compromised air exchange. Such alterations in the lung microenvironment and associated systemic manifestations have been recognized to occur due to the extensive release of cytokines. The mortality rate increases with advancing age and in individuals with underlying co-morbidity. Presently, there is no availability of specific antiviral therapy or any other definitive modality to counter this progressive worsening. However, we believe principles and advancing cell-based therapy may prove fruitful in subjugating such reported worsening in these patients. This article reviews eminent knowledge and relevant ad-vancements about the amelioration of lung damage due to COVID-19 infection using adipose tis-sue-derived-total stromal fraction (TSF).Copyright © 2022 Bentham Science Publishers.

Do Banking and Financial Services Sectors Show Herding Behaviour in Indian Stock Market Amid COVID-19 Pandemic? Insights from Quantile Regression Approach

In India, the coronavirus (COVID-19) pandemic-induced country-wide regulatory lockdown and consequential supply-chain disruptions and market instability have all posed serious challenges before the regulators and policymakers. Amid the pandemic, the stock market showed return volatilities primarily due to the unexpected investors' behaviour. One of the behavioural biases is herding, which has the power to wreck the market equilibrium and shatter the market efficiency. Given that the pandemic has generated unprecedented spirals of uncertainties across the globe, thereby creating interruptions in the pattern of stock market investment decisions, this study examined the herding behaviour of 54 stocks of banking and financial services sectors listed in the national stock exchange. In the quantile regression framework, the study provides evidence of the presence of herding for public sector banking and financial services under the bull market conditions during the pandemic in the 90th quantile of the return distribution. This finding has implications for the mispricing of financial assets in these sectors. So, the study suggests removing information asymmetry among the market participants and devising policy initiatives for ensuring market stability. © 2023 Association of Asia Scholars.

Practicing Telemedicines in India

The great use of telecommunication technology propels new healthcare system of telemedicine through which diagnosis as well as treatment can be done in the remote areas. The ancient Greek language explain the terminology of telemedicine in the phrase of distance healing. As per WHO, Telemedicine is the delivery of health-care services, where distance is a critical factor, by all health-care professionals using information and communications technologies for the exchange of valid information for diagnosis, treatment and prevention of disease and injuries, research and evaluation, and the continuing education of health-care workers, with the aim of advancing the health of individuals and communities. Historically the concept of teleconsultation was evolved in the first half of twentieth century when the data of ECG was communicated through telephone lines, this can be traced as first evidence of this unique healthcare system. Further the introduction of electrical system of telegraph as well as evolution of telephone revolutionized this system of healthcare. when the Technology of telemedicine help both patients as well as service providers in multiple ways involving physicians, surgeons, pharmacists, paramedical staff, IT and electronics engineers, government, hospitals and end user public Location is now a days no problem and therefore there is no limitation of the availability of healthcare facilities to such location or remote location. The biggest role in such development is played by the communication technology which may provide healthcare services to every nook and corner of the location. It can decrease the health staff pressure because in India WHO guidelines ask to maintain the ratio 1:1000 of doctor and Indian public compared to present 0.62:1000 ratio of doctor and public. The great advantage of this system is that in case of epidemic or pandemic like COVID 19 Telemedicine can keep the health staff are well general public free from contagious infection (COVID-19). There are a number of networking communication modes that can be applied, which may improve the patient compliance,dosage regimen can be managed in better fashion thus increase the longevity of person life. Disasters management during pandemics present unique challenges which can be addressed effectively as happened during the lockdown. This technology-based practice can break the infectivity chain of the transmission of communicable diseases This chapter incorporates basic concept of telemedicine, its origin and types, communication technologies, services by telemedicine, types of telemedicine, tools of telemedicine, telemedicine software's and guidelines related to practicingtelemedicine in reference to Indian context. Copyright © RJPT All right reserved.

Practicing Telemedicines in India

The great use of telecommunication technology propels new healthcare system of telemedicine through which diagnosis as well as treatment can be done in the remote areas. The ancient Greek language explain the terminology of telemedicine in the phrase of distance healing. As per WHO, Telemedicine is the delivery of health-care services, where distance is a critical factor, by all health-care professionals using information and communications technologies for the exchange of valid information for diagnosis, treatment and prevention of disease and injuries, research and evaluation, and the continuing education of health-care workers, with the aim of advancing the health of individuals and communities. Historically the concept of teleconsultation was evolved in the first half of twentieth century when the data of ECG was communicated through telephone lines, this can be traced as first evidence of this unique healthcare system. Further the introduction of electrical system of telegraph as well as evolution of telephone revolutionized this system of healthcare. when the Technology of telemedicine help both patients as well as service providers in multiple ways involving physicians, surgeons, pharmacists, paramedical staff, IT and electronics engineers, government, hospitals and end user public Location is now a days no problem and therefore there is no limitation of the availability of healthcare facilities to such location or remote location. The biggest role in such development is played by the communication technology which may provide healthcare services to every nook and corner of the location. It can decrease the health staff pressure because in India WHO guidelines ask to maintain the ratio 1:1000 of doctor and Indian public compared to present 0.62:1000 ratio of doctor and public. The great advantage of this system is that in case of epidemic or pandemic like COVID 19 Telemedicine can keep the health staff are well general public free from contagious infection (COVID-19). There are a number of networking communication modes that can be applied, which may improve the patient compliance,dosage regimen can be managed in better fashion thus increase the longevity of person life. Disasters management during pandemics present unique challenges which can be addressed effectively as happened during the lockdown. This technology-based practice can break the infectivity chain of the transmission of communicable diseases This chapter incorporates basic concept of telemedicine, its origin and types, communication technologies, services by telemedicine, types of telemedicine, tools of telemedicine, telemedicine software's and guidelines related to practicingtelemedicine in reference to Indian context. Copyright © RJPT All right reserved.

Peripheral blood morphology and hemogram in COVID-19 patients correlates with disease severity: Insights from a Tertiary Care Center

Context: Coronavirus Disease 2019 (COVID-19) has profound hematopoietic manifestations reflected in complete blood count (CBC) parameters and peripheral blood morphology. Aims: We aimed to evaluate CBC and peripheral blood morphology in COVID-19 patients and correlated them with severity, progression, and mortality. Settings and Design: Prospective observational study. Methods and Materials: Baseline and sequential blood samples were collected in 197 hospitalized COVID-19 patients, and CBC and morphology were assessed and compared with severity, progression, and survival. Statistical Analysis Used: Independent samples t-test for parametric continuous and Chi-Square and Fisher Exact for categorical variables. Results: Of the 197 patients, 84 (42.6%) were non-severe and 113 (57.4%) severe. The severe group displayed higher mean Total leukocyte count (TLC) (mean 11,772/μL SD 5445 vs. mean 7872/μL SD 3789, P < 0.0001), neutrophils (mean 81.2% SD 17.01 vs. mean 59.8% SD 14.55, P < 0.0001), and Red Cell Distribution Width-Standard Deviation (RDW-SD) (mean 30.04 SD 17.1 vs. mean 16.95 SD 6.63, P < 0.0001) with lymphopenia (mean 12.86% SD 15.41 vs. mean 30.64% SD 13.23, P < 0.0001) and monocytopenia (mean 4.62% SD 3.56 vs. mean 7.23% SD 3.06, P < 0.0001). The severe group had significantly more pseudo Pelger-Huet (62.8% (71/113) vs. 22.9% (14/61), P < 0.0001), abnormal nuclear projections (27.4% (31/113) vs. 3.3% (2/61), P < 0.0001), elongated nucleoplasm (17.7% (20/113) vs. 3.3% (2/61), P = 0.0073), shift to left (100% (113/113) vs. 21.3% (13/61), P < 0.0001), prominent granules (100% (113/113) vs. 85.2% (52/61), P < 0.0001), cytoplasmic vacuolations (100% (113/113) vs. 50.8% (31/61), P < 0.0001), ring (8.3% (3/113) vs. 4.9% (3/61), P = 0.0117), fetoid (15.04% (17/113) vs. 1.6% (1/61), P = 0.039), and nucleolated forms (53.9% (61/113) vs. 21.3% (13/61), P < 0.0001) with red cell agglutination (8.8% (10/113) vs. 0% (0/61), P = 0.0154) than non-severe patients. The non-severe group showed lympho-plasmacytoid (98.4% (60/61) vs. 37.2% (42/113), P < 0.0001), monocytoid (96.7% (59/61) vs. 25.7% (29/113), P < 0.0001), apoptotic (100% (61/61) vs. 17.6% (20/113), P < 0.0001), and nucleolated lymphocytes (78.7% (48/61) vs. 5.3% (6/113), P < 0.0001) with prominent granules (80.3% (49/61) vs. 12.4% (14/113), P < 0.0001), cytoplasmic vacuolations (83.6% (51/61) vs. 30.1% (34/113), P < 0.0001), and plasma cells (45.9% (28/61) vs. 19.5% (22/113), P = 0.0004). The progressors (9/84) had baseline leukocytosis (TLC mean 15,889/cu mm SD 4163.96 vs. mean 6940.27/cu mm SD 2381.59, P < 0.0001) and lymphopenia (lymphocyte% mean 18.11% SD 10.75 vs. mean 32.1% SD 12.75, P = 0.0022) with elevated RDW-SD (P = 0.032) at 7 th to 10 th day of illness. The 14 non-survivors had significant thrombocytopenia (mean 63.35 × 10 3 /μL SD 30.72 vs. mean 230.77 × 10 3 /μL SD 98.77, P < 0.0001) with lymphocytes nadir at day 9 without recovery versus day 7 to 8 nadir before recovery in survivors. Conclusions: The peripheral blood morphological features are distinct in severe and non-severe COVID-19 patients and baseline leukocytosis, lymphopenia, and elevated RDW-SD at day 7 of illness are useful indicators of disease progression. © 2022 Medical Journal of Dr. D.Y. Patil Vidyapeeth ;Published by Wolters Kluwer - Medknow.

Impinged RCA: Who's the Culprit?

Introduction: Post-sternotomy chest pain (CP) has been widely reported in literature. The etiologies include myocardial infarction, pulmonary embolism, hypersensitivity reactions to foreign material, wound infection, sternal instability and dehiscence, neuropathic pain due to intercoastal nerve damage or sternal wire fracture leading to migration. Here, we report a rare case of a young patient who presented with chronic chest pain after an atrial septal defect (ASD) repair. Case: A 28-year-old male with past medical history significant for an ASD (secundum) repair with autologous pericardial patch, hyperlipidemia, COVID-19 infection, known first degree AV block, and early repolarization changes, presented for a follow-up office visit three years after his ASD repair with complaints of typical anginal symptoms. Diagnosis: Vitals, physical exam, troponin, D-dimer and inflammatory markers were unremarkable. Chest x-ray (Figure 1A) showed sternal wires in place and no fractures of wires. EKG (Figure 1B) was unchanged. Echocardiogram showed LVEF 50% and no wall motion abnormalities. He underwent a coronary CTA which identified intermittent compression on the mid-RCA from the third bottom stainless steel sternal wire (Figure 1C), warranting removal. Treatment: He underwent explantation of all sternal wires and selective right coronary angiography (Figure 1D) was performed, which revealed intact and patent RCA without any complications. He continues to follow-up in our clinic without any CP. Conclusion(s): Chronic CP after any cardiac surgery remains a diagnostic dilemma and a source of anxiety for patients. We recommend comprehensive discussions with patients prior to surgery about these probable complications to alleviate the anxiety. Lastly, from research thus far, removal of sternal wires is a safe, simple, and effective procedure that should be offered to patients with persistent post-sternotomy CP after exclusion of serious complications.

ICT in Indian Higher Education Institutions: A review of Challenges and Opportunities during Pandemic

The purpose of this research is to look at the role of ICT in higher education institutions (HEIs) after Covid. Information and Communication (ICT) plays an important role in facilitating teaching and learning. ICT makes the classroom more interactive and collaborative. The education system knows the emergence of ICT in this changing digital media world. Earlier the ICT tools only used in the business and governance offices but due to pandemic the education system also used and learn the importance of the ICT tools. The way teachers and students engage and communicate with one another is one of the changes it has brought about. Given the limitations of restricted technology access and inequality in higher education in India, as well as economic considerations and technological know-how., it has to be seen how ICT can actually burgeon students and drive change in this field. This research also looks into the instruments and transformative potential of ICT in Indian higher education and in this study we used the questionnaire to investigate whether the ICT have aided the expansion of interactive learning and the teachers' role by collecting the sample of 1200 students studying in different streams of the University. Our findings contribute the valuable insights of the ICT opportunities and challenges to the students, researchers and learners. © 2022 IEEE.

Perception Towards Blended Learning at the Time of Covid-19 Pandemic

Blended learning mixes offline learning activities and resources with online learning activities and resources. The goal of blended learning is to minimise the time spent sitting in class, which is a significant advantage for a College / university. It might aid university officials with enhancing programmes that have low enrollment, reducing expenditures, and fulfilling staff teaching responsibilities. The study is focusing on the perception of the college students towards the online learning program during the pandemic. The blended learning is the unavoidable and safety method of teaching learning process during the pandemic. It is a qualitative study made in Chennai city. The students of higher educational institutions (Arts & Science and Engineering colleges) are considered as samples. 250 sample respondents are selected from the study are using simple random technique. The Google forms was circulated and collected the primary data. Assessment is a very important instrument for measuring the degree of knowledge that a student has in relation to the topic in which they are enrolled in any level of education. Teachers are able to give the lecture and measure student learning via the use of unique and inventive approaches when they use blended learning strategies. Copyright © 2022 Ubiquity Press. All rights reserved.

Remote literacy interventions with children during COVID-19: understanding the access, use, and effect factors in the Indian context

The outbreak of COVID-19 pandemic resulted in large-scale educational disruptions for school-going children around the world. India was among the worst hit, as multiple lockdowns put a sizeable percentage of Indian children, out of school which resulted in accumulated learning gaps, particularly for children coming from marginalized socio-economic backgrounds. To confront this learning crisis and curricular deficits, Room to Read India, a global organization working towards a world free of illiteracy and gender inequality, adopted multiple remote literacy interventions to reach out to children from vulnerable families. The study recommends that a blended hybrid mode of education, incorporating both online and offline mediums of learning, is significant in bridging the digital divide for marginalized children, who do not have adequate access or knowledge about digital resources. It was inferred that successful digital learning for children cannot take place in isolation and a dynamic partnership between teachers and parents is essential to reach out to vulnerable children. © 2023 by IGI Global. All rights reserved.

Impact of Covid-19 Pandemic on The Higher Education Institutions in India: Perspectives of Faculty on Remote Teaching & Learning

The COVID-19 Pandemic has forced educators to trans-form their teaching into online versions in a very short span of time. The study aims to throw light on the perspectives of the faculty of higher educational institutions in India in the process of transitioning to remote teaching due to COVID 19. Data were collected with the help of an online questionnaire from the faculty respondents (n=535) representing different types of educational institutions imparting higher education – NITs, IITs, Central Universities, State Universities, and Private Universities in India. The remote teaching experiences as perceived by the faculty are a blend of both satisfying and dissatisfying elements and overall, faculty perceived remote teaching & learning as a moderately favorable experience indicating many glitches that need to be addressed in or-der to make online teaching a more favourable and effective experience. Furthermore, it was observed that the faculty remote teaching experiences significantly varied based on their designation, experience and academic discipline. The faculty suggested blended learning to be the best in the days to come. Blended learning will probably enable the students and the teachers to revamp both the styles of learning: Online and Face-to-Face. © 2022, Association for the Advancement of Computing in Education. All rights reserved.

Early Predication of Covid-19 by Machine Learning Algorithms

In COVID-19 is the most significant issue for the human community. The virus is easily converted into a new variant, which behaves differently from the previous one. Besides its changing behavior, its transmission and infection rate are very high which causes high death rate. It is a very challenging situation for the healthcare system to early diagnosis of diseases so that predict the transmission growth of virus the number of new, confirmed, recovered, and dead cases can be reduced. To deal with these issues, some prediction tools are required which can help to test and find the cause of existing cases so that it can help the effective and rapid arrangement to overcome the pandemic. To address this issue, we propose a symptom-base Recommendation System which are tested over the dataset by applying the concept of Machine Learning algorithms. In this work, we test our proposed system by suing various machine learning algorithm like LR, SVM, Navie Bays,KNN,Random Forest etc. The experimental results reveal that the proposed system is capable to diagnose the disease accurately approximate 99%. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.

Techno-economics and Life Cycle Assessment of Bioreactors: Post-COVID-19 Waste Management Approach

Techno-economics and Life Cycle Assessment of Bioreactors: Post-Covid19 Waste Management Approach covers the emerging trends in bioreactor research, including techno-economics and life cycle assessment perspectives, both key considerations in making the anaerobic-digestion process technically feasible, economically viable and environmentally sustainable. The book is divided into three sections, with an introductory chapter on the impact of COVID-19 on existing practices of waste and resource management. Sections cover advances in bioreactor development for enhanced valorization of waste, the techno-economics of the different bioreactor systems, the life cycle assessment of bioreactors, their methodological challenges and future perspectives. Providing a holistic overview of bioreactors and taking into account recent trends in their design, the chapters also highlight the advances needed to manage COVID-19 waste in a sustainable manner. With contributions from leading experts in bioreactor and life cycle assessment, this book will be an invaluable reference source for academics working on anaerobic digesters and energy sustainability, as well as for research and development professionals in the renewable energy industry, and scientists and engineers working on clean and efficient energy generation from wastes. © 2022 Elsevier Inc. All rights reserved.