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The expression level of angiotensin-converting enzyme 2 determines the severity of COVID-19: lung and heart tissue as targets
(
Taylor and Francis Ltd.
, 2020 , Article)
Researchers have reported some useful information about the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) leading to CoV disease 2019 (COVID-19). Several studies have been performed in order to develop ...
Evaluating the effects of sodium glucose co-transporter -2 inhibitors from a renin–angiotensin–aldosterone system perspective in patients infected with COVID-19: contextualizing findings from the dapagliflozin in respiratory failure in patients with COVID-19 study
(
Springer
, 2022 , Article Review)
Numerous studies demonstrate parallels between CVD, type 2 diabetes mellitus (T2DM) and COVID-19 pathology, which accentuate pre-existing complications in patients infected with COVID-19 and potentially exacerbate the infection ...
OSEGNET: OPERATIONAL SEGMENTATION NETWORK FOR COVID-19 DETECTION USING CHEST X-RAY IMAGES
(
IEEE
, 2022 , Conference Paper)
Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets ...
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data
(
Elsevier
, 2022 , Article)
While the advanced diagnostic tools and healthcare management protocols have been struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen before the symptom onset acted as the Achilles' ...
A comprehensive review of COVID-19 detection techniques: From laboratory systems to wearable devices
(
Elsevier
, 2022 , Article Review)
Screening of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among symptomatic and asymptomatic patients offers unique opportunities for curtailing the transmission of novel coronavirus disease 2019, commonly ...
Biosignal time-series analysis
(
Elsevier
, 2022 , Book chapter)
In this chapter, recent state-of-the-art techniques in biosignal time-series analysis will be presented. We shall start with the problem of patient-specific ECG beat classification where the objective is to discriminate ...
Consumer approach intentions amid COVID-19: the role of safety compliance and perceived risk
(
Emerald
, 2021 , Article)
Purpose: This study aims to investigate how employee and other-consumer safety compliance amid the COVID-19 outbreak influences a focal consumer’s intention to approach a service establishment. The study also examines the ...
Et-moone and marketing relationship governance: The effect of digital transformation and ICT during the COVID-19 pandemic
(
Elsevier
, 2021 , Article)
This study aims to examine the drivers and impact of et-moone on relational governance within B2B relationships in the Arab Asian region. Building on commitment and trust theory, this study proposes how et-moone could be ...
Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the state of Qatar
(
Taylor and Francis Group
, 2021 , Article)
During the current COVID-19 pandemic, decision-makers are tasked with implementing and evaluating strategies for both treatment and disease prevention. In order to make effective decisions, they need to simultaneously ...
The Rising Veto Power of the Checkbook: An empirical Investigation of Parent's Impacts on Their Children's University enrollment
(
IGI Global
, 2022 , Article)
This study drew on different streams in the literature to theorize a power shift in favor of parents in the post-COVID-19 era. The authors investigated the impact of parents' campus site visits on university enrollment ...