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1.
Journal of the Academy of Consultation-Liaison Psychiatry ; 63:S61, 2022.
Article in English | EMBASE | ID: covidwho-1966671

ABSTRACT

Background: Post-intensive care syndrome (PICS) affects up to half of ICU patients and comprises neuromuscular, cognitive, and psychiatric impairments that persist up to years after discharge (Inoue, 2019). PICS is often overlooked and under-diagnosed (Rawal, 2017), without clear evidence-based strategies for management. Data supporting interventions for symptoms of anxiety, depression, and post-traumatic stress after discharge is limited (Needham, 2012). Developing high-quality, evidence-based interventions for PICS would address this critical need. Methods: Shortly before discharge, patients are recruited from our neurological ICU who have been intubated for at least 24 hours and score 24–32 on the Impact of Event Scale - Revised (which indicates likely PTSD symptoms without a true diagnosis). Baseline Beck Depression Index and Telephone Interview for Cognitive Status questionnaires are also administered to each patient. Participants are then randomly assigned either to a virtual reality exposure therapy intervention or to a control group that receives no therapeutic intervention. VRET patients are given an online 360° video of an ICU room from the perspective of an intubated patient, complete with sounds and simulated clinical scenarios (rounds, intubation, suctioning, etc.). Intervention patients have unlimited access to the videos for six months, beginning one month after discharge. Follow-up IES-R, BDI, and TICS are administered at 1, 3, and 6 months to both groups. Results/Discussion: Our IRB approved this study in March 2021. Enrollment has begun with 3–5 feasibility patients, to be followed by 30 randomized patients starting in November. Our poster features a case discussion on our first patient's experiences with VRET. Given the novelty of remote VRET for post-ICU PTSD symptoms, our results will be an important contribution with the potential to change practice. Conclusion: This will be the first remote intervention for neuropsychiatric symptoms of PICS, and has far-reaching implications for inpatient and outpatient CL psychiatrists — particularly at a time when patients have grown increasingly accustomed to virtual interventions, and when ICU survivors have multiplied due to COVID-19. Should our VRET prove successful, it will open the eyes of intensivists and CL psychiatrists to a whole realm of remote, efficient, and accessible virtual reality therapies for patients who have undergone acute care. This will improve long-term outcomes, particularly for patients who may have difficulty seeing an outpatient psychiatrist or taking medications consistently. Finally, our study will help to raise awareness of the psychiatric sequelae of acute illness, and so enhance inpatient collaboration between psychiatry and many other specialties. References: 1. Inoue S et al. Post-intensive care syndrome: its pathophysiology, prevention, and future directions. Acute Med Surg. 2019;(3):233-246. 2. Needham DM et al. Improving long-term outcomes after discharge from intensive care unit: report from a stakeholders’ conference. Crit Care Med. 2012;40(2):502-9. 3. Rawal G et al. Post-intensive Care Syndrome: an Overview. J Transl Int Med. 2017;5(2):90-92.

2.
Journal of Physics: D Applied Physics ; 55(37):1-55, 2022.
Article in English | Academic Search Complete | ID: covidwho-1931764

ABSTRACT

The 2022 Roadmap is the next update in the series of Plasma Roadmaps published by Journal of Physics D with the intent to identify important outstanding challenges in the field of low-temperature plasma (LTP) physics and technology. The format of the Roadmap is the same as the previous Roadmaps representing the visions of 41 leading experts representing 21 countries and five continents in the various sub-fields of LTP science and technology. In recognition of the evolution in the field, several new topics have been introduced or given more prominence. These new topics and emphasis highlight increased interests in plasma-enabled additive manufacturing, soft materials, electrification of chemical conversions, plasma propulsion, extreme plasma regimes, plasmas in hypersonics, data-driven plasma science and technology and the contribution of LTP to combat COVID-19. In the last few decades, LTP science and technology has made a tremendously positive impact on our society. It is our hope that this roadmap will help continue this excellent track record over the next 5â€"10 years. [ FROM AUTHOR] Copyright of Journal of Physics: D Applied Physics is the property of IOP Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

3.
Library Hi Tech ; : 18, 2022.
Article in English | Web of Science | ID: covidwho-1927503

ABSTRACT

Purpose This paper attempts to provide significant information on the increased growth of literature of chatbots and virtual assistants. Technological changes are dynamic and keep changing at regular intervals. Therefore, it becomes highly crucial to review the performance of chatbots and virtual assistants. This paper aims to review the literature by eminent researchers in the form of authors, keywords and major contributing organizations. Design/methodology/approach Systematic literature review and bibliometric analysis is used to analyze the growth of literature on chatbots. A sum of articles has been extracted from Scopus database with selected keywords and with certain filters. VOSviewer software is used for analysis of data. A total of 130 documents are extracted from Scopus database from 2017 to 2021 (31st August). Findings This study provides a significant contribution to an existing literature and provides the understanding of research in the area of chatbots and virtual assistants. The authors with maximum number of citations are Yan, Zaho, Bengio, Weizenbaum, Song, Zhou and Maedche with jointly 180 citations. Research is been contributed by different countries where the United States is the country with highest number of documents published. The United States contributes 17% of the total production in the area of chatbots and virtual assistants. The analysis shows that the area is gaining momentum as contribution in this area is been increasing in last few years. Research limitations/implications The study shows that several branches of chatbots are also in mainstream like natural language processing, e-learning, behavioural research, conversational agents, virtual assistants, human-computer interaction, natural language and so on. It provides a wider scope to authors and researchers to gain useful insights. The bibliometric study will provide a broader spectrum in this area. Social implications The developments in technology and also the effect of COVID-19 pandemic is boosting the adoption of technology in different sectors. Deployment of technology will uplift the economy and social infrastructure. Society can avail different services from their comfort area and also in real time. This will help in reducing wastage of resources like people visiting offices for routine jobs which can be easily availed from their workplace. Society may access better services without much human interaction. Originality/value This paper adds significant contribution to the existing literature by analysing the published papers from Scopus database. The study contains new and significant information as this study covers all industries where chatbots and virtual assistants are being applied whereas in previous literature only specific industry has been taken into consideration.

5.
IEEE Transactions on Instrumentation and Measurement ; : 1-1, 2022.
Article in English | Scopus | ID: covidwho-1909267

ABSTRACT

Coronavirus 2019 (COVID-19) has led to a global pandemic infecting 224 million people and has caused 4.6 million deaths. Nearly 80 Artificial Intelligence (AI) articles have been published on COVID-19 diagnosis. The first systematic review on the Deep Learning (DL)-based paradigm for COVID-19 diagnosis was recently published by Suri et al. [IEEE J Biomed Health Inform. 2021]. The above study used AtheroPoint’s “AP(ai)Bias 1.0”using 10 AI attributes in the DL framework. The proposed study uses “AP(ai)Bias 2.0”as part of the three quantitative paradigms for Risk-of-Bias quantification by using the best 40 dedicated Hybrid DL (HDL) studies and utilizing 39 AI attributes. In the first method, the radial-bias map (RBM) was computed for each AI study, followed by the computation of bias value. In the second method, the regional-bias area (RBA) was computed by the area difference between the best and the worst AI performing attributes. In the third method, ranking-bias score (RBS) was computed, where AI-based cumulative scores were computed for all the 40 studies. These studies were ranked, and the cutoff was determined, categorizing the HDL studies into three bins: low, moderate, and high. Using the Venn diagram, these three quantitative methods were benchmarked against the two qualitative non-randomized-based AI trial methods (ROBINS-I and PROBAST). Using the analytically derived moderate-high and low-moderate cutoff of 2.9 and 3.6, respectively, we observed 40%, 27.5%, 17.5%, 10%, and 20% of studies were low-biased for RBM, RBA, RBS, ROBINS-I, and PROBAST, respectively. We present an eight-point recommendation for AP(ai)Bias 2.0 minimization. IEEE

6.
Fertility and Sterility ; 116(3 SUPPL):e207, 2021.
Article in English | EMBASE | ID: covidwho-1880369

ABSTRACT

OBJECTIVE: The purpose of this study is to determine the positive predictive value (PPV) of diagnosis for endometriosis by the Nezhat Endometriosis Advisor (NEA) mobile application to serve as a screening tool MATERIALS AND METHODS: A retrospective cohort study was conducted at a university-affiliated private practice. Inclusion criteria were women with no previous surgical diagnosis of endometriosis who also completed an endometriosis assessment using the application. Patients with symptoms desiring definitive diagnosis and treatment of endometriosis then underwent laparoscopic surgery once surgeries were once again allowed. The diagnosis of endometriosis was confirmed visually by a surgeon specialized in treating endometriosis and also through biopsy sent to pathology. The primary outcome measured was the PPVof NEA mobile application questionnaire to the surgical diagnoses of endometriosis. RESULTS: A total of 100 patients met the inclusion criteria for this study. 95% of the patients whose score on the app was 90% or above, had a surgical pathology confirmed diagnosis of endometriosis (PPV 95%). CONCLUSIONS: NEA mobile application questionnaire has a high PPVof 95% for diagnosing endometriosis and can help identify a patient population that may require surgical treatment for pelvic pain or unexplained infertility. This will be helpful as it may lead to earlier diagnosis and management of endometriosis. Patients can reduce risk exposure of COVID-19 by avoiding multiple medical office visits. The COVID-19 pandemic has also decreased the availability of healthcare for many, and they may suffer for a long time with pain or infertility before a diagnosis is made. The mobile application is a possible alternative method to assess risk of endometriosis while avoiding risk of COVID-19 exposure. Patients can be medically treated based on symptoms and application results until surgery can be performed. With further research, the application has the potential to be the diagnostic measure of endometriosis. More research is needed to determine the continued accuracy of the application in different patient population and demographics IMPACT STATEMENT: Endometriosis is ectopic uterine lining growing outside the uterus which causes pain and infertility. Currently, definitive diagnosis is with pelvic laparoscopic surgery, as no screening test is widely available or accepted. The Coronavirus Disease 2019 (COVID-19) pandemic due to the infectious pathogen Severe Acute Respiratory Syndrome Coronavirus 2 has altered ambulatory and inpatient health care. For several months commencing March 2020, non-emergent surgeries came to an abrupt hault due to the COVID- 19 pandemic. Many patients who were scheduled to have diagnostic laparoscopies for suspected endometriosis were not able to have their surgeries performed. As an alternative NEA was utilized to determine the likelihood of endometriosis based on self-answered questionnaires about experienced symptoms. The mobile app is free and available for patients worldwide. Patients with a high probability of endometriosis can be treated medically until surgery resume.

7.
American Journal of Respiratory and Critical Care Medicine ; 205:2, 2022.
Article in English | English Web of Science | ID: covidwho-1880268
8.
Journal of Investigative Medicine ; 70(4):1066-1067, 2022.
Article in English | EMBASE | ID: covidwho-1866266

ABSTRACT

Purpose of Study Objective: To evaluate the short and midterm cardiac outcomes in children hospitalized with MIS-C in two pediatric intensive care units (PICU) in New Jersey. Methods Used Design/Methods: We conducted a retrospective review of children admitted to the PICU with a diagnosis of MIS-C between April 2020 through March 2021. Cardiac biomarkers and echocardiograms performed during hospitalization were analyzed. Follow-up echocardiograms were performed two to eight weeks post-discharge, with interval follow-up of up to one year. Shortening fraction (SF) was used to assess left ventricular systolic function using standard M-mode (SF < 28% considered abnormal). Summary of Results Results: Twenty-seven patients (18 male;median age 11 years) were included. The mean peak Troponin I in 25 patients was 2.10 +/- 5.0 ng/dL, and mean peak NTProBNP level in 26 patients was 1,606 +/- 1293 pg/dL. Most patients had normalization of cardiac biomarkers by time of discharge (table 1). Seven of the 23 patients who had an echocardiogram on admission had a SF less than 28%. Lowest SF and SF at the time of discharge were compared in 21 patients with a median improvement of 6% (p <0.001) (table 2). Nineteen patients had a follow-up echocardiogram two to ten weeks post discharge and 18 of those had normal left ventricular systolic function (p < 0.001). No patient had evidence of diastolic dysfunction at follow-up. Eight patients had midterm follow-up five to seven months post-discharge;one patient was followed for one-year post-discharge. Abnormalities that persist in these patients include low normal left ventricular systolic function. Three subjects had evidence of left coronary artery dilation (z score >2) during hospitalization and continued to have diffuse dilation at follow up, with one developing right coronary artery dilation. Conclusions Conclusion: In this cohort of patients, most children admitted to the PICU with MIS-C had abnormal cardiac biomarkers with normal to mildly decreased left ventricular systolic function that improved by time of discharge and continued to improve with midterm (5-7 months) follow-up. A very small subset of patients, however, continue to have cardiac complications including diffuse coronary artery dilation. (Table Presented).

9.
Proceedings on Engineering Sciences ; 3(3):247-254, 2021.
Article in English | Scopus | ID: covidwho-1876407

ABSTRACT

E commerce has transformed the way of doing business globally. But still offline businesses have majority stake in the major economies of the world. With the arrival of covid 19, things have changes tremendously. E commerce companies have seen an exponential growth rate in these times due to government guidelines, health concerns and technological changes. This paper discusses, recent trends in e-commerce industry in India, the positive and negative impact of Covid 19 on ecommerce activities. Also, opportunities grabbed by e commerce players due to covid 19’s impact on its consumers and business scenario. The paper also critically analyses pre and post covid scenario in Indian e commerce industry on various parameters. It also discusses how the business organizations have transformed their business models as per the new normal conditions and customer expectations. © 2021 Published by Faculty of Engineeringg.

10.
Lecture Notes on Data Engineering and Communications Technologies ; 128:223-237, 2022.
Article in English | Scopus | ID: covidwho-1872376

ABSTRACT

The chapter discusses about the sentimental analysis of fears, psychological disorders and health issues of the individuals. The qualitative data of 42 millennials working in different sectors has been collected to analyze the findings. The major findings of the chapter dealt with how the millennials are facing the challenges of several psychological disorder, fears in order to fulfill their jobs and duties during Covid-19, which impact their physical health as well. The study provides a result discussion with the help of word cloud and sentimental analysis, thematic analysis of millennials through NVIVO-12. The chapter concludes that this pandemic creates a window for discussing the psychological fears and mental health issues openly in Indian context. The chapter provides a future scope for the researcher to do the quantitative analysis for the same variables. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

11.
Journal of Clinical and Experimental Hepatology ; 12:S28-S29, 2022.
Article in English | EMBASE | ID: covidwho-1859848

ABSTRACT

Primary sclerosing cholangitis (PSC) is a cholestatic disorder wherein liver transplant is the definitive treatment for advance stages. However, recurrence of PSC after liver transplant is of concern which can leads to graft failure and may require retransplant. There is limited data on outcomes of living donor liver transplant (LDLT) in PSC. Also, in LDLT as donors are related there is possibility of disease recurrence. So, we conducted this retrospective study to analyse the outcomes of LDLT in PSC at a tertiary liver transplant centre in north India. Methods: We conducted a retrospective analysis of 3213 transplant recipients who underwent LDLT from January 2006 to May 2021. Of these 26 (0.80%) patients has PSC as indication for liver transplantation (PSC=24, PSC/AIH overlaP=2). Data analysis was done to look for baseline demographics, clinical details, transplant outcomes, PSC recurrence and survival. Results: Mean age of study group was 42(±13.8) years and 19 (73.1%) were males. All patients had decompensated cirrhosis at time of transplant. Mean CTP score and MELD score were 9.5(±1.8) and 18.9(±7.1) respectively. 16 patients received modified right lobe graft, 7 extended right lobe graft and 5 patients received left lateral graft. Average graft weight and GRWR were 633.5(IQR 473.5-633.5) grams and 1.23(SD±0.42) respectively. Most common biliary anastomosis was hepaticojejunostomy, done in 19(73.1%) while duct to duct anastomosis was performed in 7(26.9%) patients. Median follow- up was 96(36-123) months. One patient had ulcerative colitis and none had cholangiocarcinoma. Two (7.7%) patients had bile leak during early post-transplant period. Three (11.1%) patients developed graft rejection and managed successfully with steroid pulses. Three patients died during early post-transplant period while 7 deaths occurred during long term follow-up including one death due to COVID-19. Five (19.2%) patients had recurrence of PSC of which 2 patients lost their grafts including one after retransplantation. The overall 1 year and 5-year survival rates were 88.5% and 75% respectively. Conclusion: LDLT can be performed in PSC with good long-term outcomes with a risk of PSC recurrence in about 1/5th patients.

12.
Imidazole-Based Drug Discovery ; : 167-193, 2021.
Article in English | Scopus | ID: covidwho-1859217

ABSTRACT

The COVID-19 pandemic has horrified the human race and every government of the world, not only in the healthcare sector but also in terms of the economy, social disturbances, and large-scale growth of all nations. SARS-CoV-2, responsible for this pandemic, is a single member of a huge family of pathogenic viruses. Previous encounters with these viruses have taught the whole world that they can transform into more resistant and more harmful forms in a very short time. Antiviral medicines with characteristics of excellent potency, less resistance, and low toxicity are still challenging, and obtaining such drugs is a demanding arena in the field of pharmaceutical development. Antiviral medicines contain heterocyclic moieties with diverse substitutions and fusion. Among the potent heterocycles, imidazoles serve as one of the most crucial moieties in the field of drug discovery due to their ability to interact with the active target sites of living systems which provide enormous opportunities to discover new drugs with several modes of action. This chapter gives a systemic representation of design, discovery, and structure-activity relationship studies of the imidazole analogs as antiviral drugs in comparison to standard treatment used in the present-day scenario. © 2022 Elsevier Inc. All rights reserved.

13.
International Journal of Early Childhood Special Education ; 14(3):1986-1992, 2022.
Article in English | Web of Science | ID: covidwho-1856295

ABSTRACT

Researcher had finished his data collection and interviewing of domain experts by the first week of March 2021 and had put together the entire paper, the nationwide lock-down due to COVID-19 meant that the final submission/release of this paper was pushed forward by three to four months. Hence, this paper mainly covers the pre-lock-down and post scenario. It took a considerable amount of time to check State-wise details (for all States), rules, loopholes, issues and to find out best practices and key initiatives rolled out across States. There are a few significant developments that took place after 21 March 2020 when the lock-down was announced and till March 2021. COVID-19 should be declared as a Force Majeure event for all construction contracts, Architectural & engineering design contracts under implementation or under service. With the recent increase in the number of COVID-19 cases in India, the likelihood of the lockdown being extended is high. This would only prolong the misery of the already bleeding real estate sector and potentially expose the promoters to a vast number of claims and complaints. On the extension of timelines for delivery of possession, whilst the principles of law will be considered in terms of force majeure clauses in the Agreements and the specific facts of the case, considering the gravity of the present situation, impact of lockdown and the detrimental effect on the economy, we would expect the relevant RERA Authority/ Courts to adopt a more balanced approach and direct resolutions to any disputes in this regard factoring equities.

14.
2nd International Conference on Innovative Practices in Technology and Management, ICIPTM 2022 ; : 386-392, 2022.
Article in English | Scopus | ID: covidwho-1846106

ABSTRACT

The COVID-19 pandemic comes up with an opportunity for many industries to remake themselves strategically financially and operationally as per the changing needs of the markets. Application of various technologies is helping industries in moving forward and embrace the fifth Industrial Revolution. Technologies like big data analysis, artificial intelligence, fiber optics, image recognition, drones, are playing an important in the growth of industrial service sectors. Technology has transformed every industry of the countries and needless to say, the Insurance industry is no exception here. The term 'Insurtech' has been around since at least 2010, but its reach and influence have accelerated in the past few years and it will continue to with the advancement in big data, AI, IoT, wearable devices and nanotechnologies. In most basic term, Insurtech is applications of various technologies in the insurance industry. From both product and process perspectives, Insurtech is transforming the insurance industry. It is helping the Insurance Industry to become more customer-centric and create operational excellence. Now with Insurtech applications great results were seen in fraud detection rates, effective access to insurance services, low-cost to the customers and the company, increase in operational efficiencies and enhancement in customer experience. This paper discusses about digital growth and development in insurance sector and the ways the Insurtech is transforming the Insurance industry to a greater extent. Also focus of paper is on how insurtech is fostering the automation of insurance process using deep learning and other technologies. © 2022 IEEE.

15.
International Conference on Computational Techniques and Applications, ICCTA 2021 ; 426:43-52, 2022.
Article in English | Scopus | ID: covidwho-1844331

ABSTRACT

In the wake of the pandemic that we are all facing these days, we all are advised to maintain some specified social distance from other people in order to keep ourselves safe. The CoVID-19 pandemic started showing its symptoms at the end of 2019 and is still killing thousands of people every day. Although the scientists have been successful in preparing the medicines for it, it is better to take some precautionary measures ourselves only. We are battling from it today as well. So, our tool is just a medium to make this battle a little easier. This will help us to monitor the distance between two objects, here, people, and whether they are at a safe distance from each other or not. This can also be helpful for the officials if they have to keep an eye on everyone and if they are following the proper guidelines to prevent COVID-19 from spreading. This will help us to detect the objects, in this case, people, and track their movements. Anyone can track whether people are maintaining a proper distance from each other or not. We are using three algorithms, object detection, object tracking, and distance measure algorithm, mainly to detect the objects, then track them, and then to analyze the distance between them. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

16.
5th International Conference on Smart Computing and Informatics, SCI 2021 ; 282:187-196, 2022.
Article in English | Scopus | ID: covidwho-1826287

ABSTRACT

The education industry has gone through major changes amidst the recent COVID-19 pandemic. Facing unforeseen circumstances, educational institutions were forced to shift to an online learning model rather than an offline, classroom-based learning model. The sudden change in the learning model impacted not only students but also the teaching faculty. Even though many resources are available online, simulating a classroom-like study environment is not an easy task. Hence mapping student performance in the new learning model is an essential task. The main goal of our work is to predict the student performance in the online learning model implemented by many colleges and universities amidst the COVID-19 pandemic. Unlike the previous work in this domain, we are purely focusing on an online study system. An online survey was conducted to collect the data from the students who had undergone the aforementioned learning model for at least one semester. The data set for the research includes features that would have an impact on a student’s performance having various attributes. The model strives to predict a student’s performance with good accuracy and help infer where the online learning model can be improved. Several classifiers such as KNN, Gradient boost, Adaboost, Decision tree, SVM, Gaussian NB were used to classify the student data. To validate the performance of these classifiers we have compared them with the latest state-of-the-art works. The Gradient Boost, Xgboost Classifier, and SVM classifiers returned the highest accuracies, in essence, 97.46, 97.45, and 97.45%, respectively. This indicates that the performance of the students is predictable with the given features. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

17.
Egyptian Journal of Radiology and Nuclear Medicine ; 53(1), 2022.
Article in English | EMBASE | ID: covidwho-1817311

ABSTRACT

Background: Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which was declared a pandemic by the World Health Organization on 11 March 2020 has been reported in most countries around the world since its origins in Wuhan, China. As of September 2021, there have been over 229 million cases of COVID-19 reported worldwide, with over 4.7 million COVID-19–associated deaths. Body: The devastating second wave of the COVID-19 pandemic in India has seen a rise in various extrapulmonary manifestations. One of key components in the pathogenesis of COVID-19 is downregulation of ACE-2, which is expressed on many organs and counterbalances the pro-inflammatory effects of ACE/angiotensin-II axis. This leads to influx of inflammatory cells into alveoli, increased vascular permeability and activation of prothrombotic mediators. Imaging findings such as ground glass opacities, interlobular septal thickening, vascular dilatation and pulmonary thrombosis correlate well with the pathogenesis. Conclusion: We hypothesize that the systemic complications of COVID-19 are caused by either direct viral invasion or effect of cytokine storm leading to inflammation and thrombosis or a combination of both. Gaining insights into pathobiology of SARS-CoV-2 will help understanding the various multisystemic manifestations of COVID-19. To date, only a few articles have been published that comprehensively describe the pathophysiology of COVID-19 along with its various multisystemic imaging manifestations.

18.
Handbook of Research on Developing a Post-Pandemic Paradigm for Virtual Technologies in Higher Education ; : 126-143, 2021.
Article in English | Scopus | ID: covidwho-1810459

ABSTRACT

With the changing time, the innovative technologies and communication systems have given a new vision to the education sector. The growing number of young people has brought attention to the higher education system to build a new form of learning. The new perspectives towards education systems have brought a blend of virtual as well as traditional modes of learning, known as "blended learning." The purpose of this chapter is to understand the impact of COVID-19 on teaching learning practices of higher education institutes (HEI) and to understand the influence of a blended learning approach on attitude and behavioral aspects of the learners and teaching professionals. © 2021 by IGI Global. All rights reserved.

19.
12th National Conference on Recent Advancements in Biomedical Engineering, NCRABE 2020 ; 2405, 2022.
Article in English | Scopus | ID: covidwho-1805756

ABSTRACT

Due to Covid-19, most of the health care organizations and governments have ordered their citizens to wear face mask to protect themself. The proposed novel research presents a tactical methodology for rapid detection of whether a person is wearing a face mask or not. It is entirely different from the existing system, aims at training the deep learning model with a minimum number of image samples and to operate face mask instance segmentation along with object box detection. The system proposes a novel and semantic pixel-to-pixel region based deep learning network, which can detect number of face mask instances in different categories pixel wise to organize the segment bounding box and the confidence of various categories for each pixel. The system experimentally demonstrates that it can effectively and precisely detect the face mask with multi-feature combination. It is also reported that the proposed application performance outperforms the existing system. © 2022 Author(s).

20.
PubMed; 2020.
Preprint in English | PubMed | ID: ppcovidwho-333650

ABSTRACT

OBJECTIVE: To characterize the SARS-CoV-2 testing cascade and associated barriers in three US states. METHODS: We recruited participants from Florida, Illinois, and Maryland (~1000/state) for an online survey September 16 - October 15, 2020. The survey covered demographics, COVID-19 symptoms, and experiences around SARS-CoV-2 PCR testing in the prior 2 weeks. Logistic regression was used to analyze associations with outcomes of interest. RESULTS: Overall, 316 (10%) of 3,058 respondents wanted/needed a test in the two weeks prior to the survey. Of these, 166 (53%) were able to get tested and 156 (94%) received results;53% waited >= 8 days to get results from when they wanted/needed a test. There were no significant differences by state. Among those wanting/needing a test, getting tested was significantly less common among men (aOR: 0.46) and those reporting black race (aOR: 0.53) and more common in those reporting recent travel (aOR: 3.35). CONCLUSIONS: There is an urgent need for a national communication strategy on who should get tested and where one can get tested. Additionally, measures need to be taken to improve access and reduce turn-around-time.

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