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  • Open Access

    ARTICLE

    Adults with Congenital Heart Disease during the COVID-19 Era: One-Year Tertiary Center Experience

    Fatma A. Taha1,2,*, Osama Amoudi1, Fareed Alnozha1, Reda Abuelatta1

    Congenital Heart Disease, Vol.17, No.4, pp. 399-419, 2022, DOI:10.32604/chd.2022.020174

    Abstract Background: Adult patients with congenital heart disease (ACHD) might be at high risk of Coronavirus disease- 2019 (COVID-19). This study aimed to report on a one-year tertiary center experience regards COVID-19 infection in ACHD patients. Methods: This is a one-year (March-2020 to March-2021) tertiary-center retrospective study that enrolled all ACHD patients; COVID-19 positive patients’ medical records, and management were reported. Results: We recorded 542 patients, 205 (37.8%) COVID-19-positive, and 337 (62.2%) COVID-19-negative patients. Palliated single ventricle and Eisenmenger syndrome patients were more vulnerable to COVID-19 infection (P < 0.05*). Cardiovascular COVID-19 complications were arrhythmias in 47 (22.9%) patients, heart failure… More >

  • Open Access

    ARTICLE

    A Hybrid Particle Swarm Optimization to Forecast Implied Volatility Risk

    Kais Tissaoui1,2,*, Sahbi Boubaker3,4, Waleed Saud Alghassab1, Taha Zaghdoudi1,5, Jamel Azibi6

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4291-4309, 2022, DOI:10.32604/cmc.2022.028830

    Abstract The application of optimization methods to prediction issues is a continually exploring field. In line with this, this paper investigates the connectedness between the infected cases of COVID-19 and US fear index from a forecasting perspective. The complex characteristics of implied volatility risk index such as non-linearity structure, time-varying and non-stationarity motivate us to apply a nonlinear polynomial Hammerstein model with known structure and unknown parameters. We use the Hybrid Particle Swarm Optimization (HPSO) tool to identify the model parameters of nonlinear polynomial Hammerstein model. Findings indicate that, following a nonlinear polynomial behaviour cascaded to an autoregressive with exogenous input… More >

  • Open Access

    ARTICLE

    A Unified Decision-Making Technique for Analysing Treatments in Pandemic Context

    Fawaz Alsolami1, Abdullah Saad Al-Malaise Alghamdi2, Asif Irshad Khan1,*, Yoosef B. Abushark1, Abdulmohsen Almalawi1, Farrukh Saleem2, Alka Agrawal3, Rajeev Kumar4, Raees Ahmad Khan3

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2591-2618, 2022, DOI:10.32604/cmc.2022.025703

    Abstract The COVID-19 pandemic has triggered a global humanitarian disaster that has never been seen before. Medical experts, on the other hand, are undecided on the most valuable treatments of therapy because people ill with this infection exhibit a wide range of illness indications at different phases of infection. Further, this project aims to undertake an experimental investigation to determine which treatments for COVID-19 disease is the most effective and preferable. The research analysis is based on vast data gathered from professionals and research journals, making this study a comprehensive reference. To solve this challenging task, the researchers used the HF… More >

  • Open Access

    ARTICLE

    Prevalence and Factors Associated with Depression, Anxiety and Stress in IBD Patients Undergoing Intravenous Biological Therapy during the COVID-19 Pandemic-Montenegro Experience

    Brigita Smolović1,2, Marija Đurović1, Miloš Lukić1, Marija Abramović2,3, Damir Muhović1,2,*

    International Journal of Mental Health Promotion, Vol.24, No.4, pp. 551-564, 2022, DOI:10.32604/ijmhp.2022.020347

    Abstract Throughout its duration, the coronavirus disease 2019 (COVID-19) pandemic has been affecting lives worldwide and has had a sizeable impact on mental health, particularly for those who already suffer from a chronic illnesses. Depression, Anxiety and Stress (DAS) are common psychiatric comorbidities in inflammatory bowel disease (IBD) patients. This study aims to determine the prevalence and risk factors for moderate and severe symptoms of DAS in IBD patients have been undergoing intravenous biological therapy (IvBTh) during the COVID-19 pandemic. The study was conducted between September 1st and November 30th, 2020 at the Clinical Center of Montenegro-IBD unit, where all patients… More >

  • Open Access

    ARTICLE

    College Students’ Academic Stressors on Mental Health during the COVID-19 Pandemic: A Comparison between Graduating Students and Non-Graduating Students

    Jiaqi Yang1, Yanwen Zhang2, Peng Li2,3,4, Huan Zhang2,3,4, Tour Liu2,3,4,*

    International Journal of Mental Health Promotion, Vol.24, No.4, pp. 603-618, 2022, DOI:10.32604/ijmhp.2022.019406

    Abstract The study aimed to investigate the influence of academic stressors on mental health and the mediating effect of social support and self-identity among college students and further studied the difference between the graduating students and non-graduating students during the COVID-19 Pandemic. Recruiting 900 college students as subjects, used the college students’ academic stressors questionnaire, social support questionnaire, self-identity scale and depression anxiety stress scales (DASS-21). The results showed that: (1) The college students’ academic stressor positively predicted mental health; (2) Social support and self-identity mediated the relationship; (3) The model also held when academic stressors was replaced by work stressor,… More >

  • Open Access

    ARTICLE

    Multitasking Behavior and Perceptions of Academic Performance in University Business Students in Mexico during the COVID-19 Pandemic

    Victoria Gonzáles-Gutierrez1, Aldo Alvarez-Risco2, Alfredo Estrada-Merino2, María de las Mercedes Anderson-Seminario2, Sabina Mlodzianowska2, Shyla Del-Aguila-Arcentales3, Jaime A. Yáñez4,5,*

    International Journal of Mental Health Promotion, Vol.24, No.4, pp. 565-581, 2022, DOI:10.32604/ijmhp.2022.021176

    Abstract The current study measures the influence of multitasking behavior and self-efficacy for self-regulated learning (SESRL) on perceptions of academic performance and views in university students during the COVID-19 pandemic in Mexico. 264 university students fulfilled an online questionnaire. It was observed that multitasking behavior negatively influences SESRL (−0.203), while SESRL showed a positive influence of 0.537 on perceptions of academic performance, and multitasking behavior had an influence of −0.097 on the perception of academic performance. Cronbach’s alpha and Average Variance Extracted values were 0.809 and 0.577 (multitasking behavior), 0.819 and 0.626 (SESRL), 0.873 and 0.725 (perceptions of academic performance), respectively.… More >

  • Open Access

    REVIEW

    The Primacy of Moringa (Moringa oleifera Lam.) in Boosting Nutrition Status and Immunity Defence Amidst the COVID-19 Catastrophe: A Perspective

    Hirdayesh Anuragi1, Rajesh Kumar Singhal2, Yashfa Tanveer3, Humaira Yasmin3, Ambati Srijan4, Alka Bharati1, Lal Chand5, Sukumar Taria1, Kunasekaran Rajarajan1, Asha Ram1, Arun Kumar Handa1, Ayyanadar Arunachalam1, Khalid Rehman Hakeem6,7,8,*, Deniz Özbilici9, Ayman EL Sabagh10,11,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.9, pp. 1831-1858, 2022, DOI:10.32604/phyton.2022.020540

    Abstract A severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) led novel coronavirus disease (COVID-19) outbreak spread through China has become the biggest global public health challenge today. The virus upon several mutations has led to the resurgence of more infectious and lethal variants infecting over 298 million people with more than 5.46 million deaths worldwide by the end of December, 2021. Though vaccines are available, various preventive measures particularly a high body immunity is still extremely important which determines the likelihood of disease severity and subsequent recovery in the current and future pandemics. This review acknowledges the potentiality of miraculous Moringa oleiferaMore >

  • Open Access

    ARTICLE

    A Deep Learning Framework for COVID-19 Diagnosis from Computed Tomography

    Nabila Mansouri1,2,*, Khalid Sultan3, Aakash Ahmad4, Ibrahim Alseadoon4, Adal Alkhalil4

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1247-1264, 2022, DOI:10.32604/iasc.2022.025046

    Abstract The outbreak of novel Coronavirus COVID-19, an infectious disease caused by the SARS-CoV-2 virus, has caused an unprecedented medical, economic, and social emergency that requires data-driven intelligence and decision support systems to counter the subsequent pandemic. Data-driven models and intelligent systems can assist medical researchers and practitioners to identify symptoms of COVID-19 infection. Several solutions based on medical image processing have been proposed for this purpose. However, the most shortcoming of hand craft image processing systems is the lower provided performances. Hence, for the first time, the proposed solution uses a deep learning model that is applied to Computed Tomography… More >

  • Open Access

    VIEWPOINT

    SARS-CoV-2 induced myocarditis: Current knowledge about its molecular and pathophysiological mechanisms

    DOMENICO MARIA CARRETTA1,§, MARINA DI DOMENICO2,§, ROBERTO LOVERO3, ROBERTO ARRIGONI4, ANGELIKA ELZBIETA WEGIERSKA5, MARIAROSARIA BOCCELLINO2,*, ANDREA BALLINI2,6,*, IOANNIS ALEXANDROS CHARITOS7,#, LUIGI SANTACROCE5,#

    BIOCELL, Vol.46, No.8, pp. 1779-1788, 2022, DOI:10.32604/biocell.2022.020009

    Abstract The existence of an inflammatory process in the heart muscle, related to a progressive worsening of myocardial function, different etiopathogenetic mechanisms concur and often overlap, thus making the diagnosis and the therapeutic approach complex. As the COVID-19 pandemic progresses, the effects of the disease on the organ systems and in particular on the cardiovascular system are becoming more and more profound. Cardiac involvement is a well-known event with a high percentage of findings in the heart’s magnetic field, even in asymptomatic areas. There are numerous uncertainties regarding their evolution, in the long and short term, due not only to a… More >

  • Open Access

    ARTICLE

    A Novel Deep Learning Based Healthcare Model for COVID-19 Pandemic Stress Analysis

    Ankur Dumka1, Parag Verma2, Rajesh Singh3, Anil Kumar Bisht4, Divya Anand5,6,*, Hani Moaiteq Aljahdali7, Irene Delgado Noya6,8, Silvia Aparicio Obregon6,9

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 6029-6044, 2022, DOI:10.32604/cmc.2022.024698

    Abstract Coronavirus (COVID-19) has impacted nearly every person across the globe either in terms of losses of life or as of lockdown. The current coronavirus (COVID-19) pandemic is a rare/special situation where people can express their feelings on Internet-based social networks. Social media is emerging as the biggest platform in recent years where people spend most of their time expressing themselves and their emotions. This research is based on gathering data from Twitter and analyzing the behavior of the people during the COVID-19 lockdown. The research is based on the logic expressed by people in this perspective and emotions for the… More >

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