Boosting Whale Optimizer with Quasi-Oppositional Learning and Gaussian Barebone for Feature Selection and COVID-19 Image Segmentation

Whale optimization algorithm (WOA) tends to fall into the local optimum and fails to converge quickly in solving complex problems. To address the shortcomings, an improved WOA (QGBWOA) is proposed in this work. First, quasi-opposition-based learning is introduced to enhance the ability of WOA to search for optimal solutions. Second, a Gaussian barebone mechanism is embedded to promote diversity and expand the scope of the solution space in WOA. To verify the advantages of QGBWOA, comparison experiments between QGBWOA and its comparison peers were carried out on CEC 2014 with dimensions 10, 30, 50, and 100 and on CEC 2020 test with dimension 30. Furthermore, the performance results were tested using Wilcoxon signed-rank (WS), Friedman test, and post hoc statistical tests for statistical analysis. Convergence accuracy and speed are remarkably improved, as shown by experimental results. Finally, feature selection and multi-threshold image segmentation applications are demonstrated to validate the ability of QGBWOA to solve complex real-world problems. QGBWOA proves its superiority over compared algorithms in feature selection and multi-threshold image segmentation by performing several evaluation metrics. Supplementary Information The online version contains supplementary material available at 10.1007/s42235-022-00297-8.

Risk assessment of global COVID-19 pandemic in May 2022

Objective: To assess the global epidemic of Coronavirus disease 2019(COVID-19) in May 2022 and the risk of importation.

Experience of using a smartphone WeChat applet for dental anxiety assessment and preoperative evaluation: A nationwide multicenter study

Introduction Dental anxiety is a multivariate phenomenon that regularly occurs during a dental procedure. Although it may lead to patients' safety concerns and adverse events in routine treatment, it is often ignored. The purpose of this research is to develop a novel WeChat Applet for dental anxiety (WADA) with the following features and aims: (1) to help patients with dental anxiety management;(2) provide patient with a physical status self-evaluation;and(3) provide a platform for online assessment and tele-consultancy by dentists. We aimed to test and verify whether such an applet could play a beneficial role before and after a dental procedure and facilitate management of high-risk patients during the COVID-19 pandemic. Materials and methods During the 12-month survey period (August 2020 to July 2021), a total of 180 patients aged 3–74 years from eight different cities (n = 180 at the end of treatment, n = 25 for the System Usability Scale (SUS) and follow-up interview) and 20 medical staff from eight different cities (n =20 for follow-up interview) were evaluated by WADA. At the end of the survey period, the results of the interviews were analyzed thematically. Results WADA assessment results from 180 patients and follow-up interview results from 45 participants were analyzed. In this study with a male to female ratio of 2:3, 75% were found to be suffering from dental anxiety, 86% were found with postoperative complications, and 11 cases were found to have contraindications to surgery. The total SUS score for WADA is 72.25 above the mean score, proving that WADA is a relevant and useful tool before and after dental treatment. Based on the results of the interviews, the following themes were identified: patient satisfaction;dentists' effectiveness;multi-center data integration;and increase its frequency of usage. Conclusions The WADA was developed for dental procedures and is effective for reducing treatment risks, improving patients' satisfaction and dentists' convenience, especially in terms of facilitating management of high-risk patient during the COVID-19 pandemic.

Peptide-Based Vaccines for Tuberculosis

Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis. As a result of the coronavirus disease 2019 (COVID-19) pandemic, the global TB mortality rate in 2020 is rising, making TB prevention and control more challenging. Vaccination has been considered the best approach to reduce the TB burden. Unfortunately, BCG, the only TB vaccine currently approved for use, offers some protection against childhood TB but is less effective in adults. Therefore, it is urgent to develop new TB vaccines that are more effective than BCG. Accumulating data indicated that peptides or epitopes play essential roles in bridging innate and adaptive immunity and triggering adaptive immunity. Furthermore, innovations in bioinformatics, immunoinformatics, synthetic technologies, new materials, and transgenic animal models have put wings on the research of peptide-based vaccines for TB. Hence, this review seeks to give an overview of current tools that can be used to design a peptide-based vaccine, the research status of peptide-based vaccines for TB, protein-based bacterial vaccine delivery systems, and animal models for the peptide-based vaccines. These explorations will provide approaches and strategies for developing safer and more effective peptide-based vaccines and contribute to achieving the WHO’s End TB Strategy.

Will individuals visit hospitals when suffering heat-related illnesses? Yes, but…

Under heat problem, the combined effects of heatwaves and urban heat island effects, has been one of the deadliest climate-related disasters. Uncovering heat-induced health problems is of significance to inform people about urban heat impacts and improve people's awareness of addressing urban heat problems. Existing studies have primarily done this through panel analysis based on second-hand data from local or national authorities. However, there are limited studies directly concentrating on the heat responses of people. To address this gap, this study aims to investigate public responses to urban heat and heat-related illness on the individual side. The study was conducted through a questionnaire survey in three Chinese cities including Nanchang, Shenyang and Xi'an. Based on 1154 valid responses, this study analysed respondents understanding of urban heat problems, symptoms of physiological illnesses and their behaviours of hospitalisation. The results indicate that the knowledge of heat-related risks (2.29 out of 5) was significantly lower than the perceived urban heat severity (3.24) and the perceived severity of physiological impacts (2.40). The skin heat damage (44.7%), among 873 respondents who underwent physiological impacts, was the most frequent physiological illness, followed by the digestive systems (34.0%) and then respiratory (24.1%) and cardiovascular diseases (18.2%). Among the 873 respondents, only 4.0% and 17.7% of respondents would like or were mostly yes to visit hospitals, while 14.2% and 26.4% of the respondents would not like or were mostly not to visit hospitals. Moreover, perceived urban heat severity, knowledge of heat-related risks, perceived severity of physiological impacts, symptoms of physiological illnesses and behaviours of hospitalisation were city-specific and demography-dependent. Overall, the empirical analysis provides new evidence of urban heat problems and generates theoretical and policy implications for heat-induced impact estimation and prevention.

Prevalence of Depression and its Impact on Quality of Life among Frontline Otorhinolaryngology Nurses During the COVID-19 Pandemic in China: A National Survey (preprint)

Objective: Exposure to the coronavirus disease 2019 (COVID-19) was associated with high risk of mental health problems among frontline nurses. This study examined the prevalence of depressive symptoms (depression hereafter) and its impact on quality of life (QOL) among otorhinolaryngology (ENT) nurses during the COVID-19 pandemic in China.Methods: A national online study was conducted between March 15 and March 20, 2020. Depression and QOL were assessed using standardized instruments.Results: A total of 1,757 participants were recruited. The prevalence of depression was 33.75% (95% CI: 31.59%-35.97%). Results emerging from multiple logistic regression analysis showed that direct care of COVID-19 patients (OR: 1.440, 95% CI: 1.031–2.012, P= 0.032), and current smoker (OR: 3.143, 95% CI: 1.020–9.690, P = 0.046) were significantly associated with depression. After controlling for covariates, ENT nurses with depression had a lower overall QOL compared to those without (F (1, 1757) =536.80, P<0.001).Conclusions: Depression was common among ENT nurses during the COVID-19 pandemic in China. Considering the negative impact of depression on QOL and care quality, regular screening for depression should be conducted among ENT nurses and timely treatments should be provided for those in need. 

Genetic determinants of COVID-19 drug efficacy revealed by genome-wide CRISPR screens (preprint)

Immunomodulatory agents dexamethasone and colchicine, antiviral drugs remdesivir, favipiravir and ribavirin, as well as antimalarial drugs chloroquine phosphate and hydroxychloroquine are currently used in the combat against COVID-19. However, whether some of these drugs have clinical efficacy for COVID-19 is under debate. Moreover, these drugs are applied in COVID-19 patients with little knowledge of genetic biomarkers, which will hurt patient outcome. To answer these questions, we designed a screen approach that could employ genome-wide sgRNA libraries to systematically uncover genes crucial for these drugs' action. Here we present our findings, including genes crucial for the import, export, metabolic activation and inactivation of remdesivir, as well as genes that regulate colchicine and dexamethasone's immunosuppressive effects. Our findings provide preliminary information for developing urgently needed genetic biomarkers for these drugs. Such biomarkers will help better interpret COVID-19 clinical trial data and point to how to stratify COVID-19 patients for proper treatment with these drugs.

Binding Mode of SARS-CoV2 Fusion Peptide to Human Cellular Membrane (preprint)

Infection of human cells by the SARS-CoV2 relies on its binding to a specific receptor and subsequent fusion of the viral and host cell membranes. The fusion peptide (FP), a short peptide segment in the spike protein, plays a central role in the initial penetration of the virus into the host cell membrane, followed by the fusion of the two membranes. Here, we use an array of molecular dynamics (MD) simulations taking advantage of the Highly Mobile Membrane Mimetic (HMMM) model, to investigate the interaction of the SARS-CoV2 FP with a lipid bilayer representing mammalian cellular membranes at an atomic level, and to characterize the membrane-bound form of the peptide. Six independent systems were generated by changing the initial positioning and orientation of the FP with respect to the membrane, and each system was simulated in five independent replicas. In 60% of the simulations, the FP reaches a stable, membrane-bound configuration where the peptide deeply penetrated into the membrane. Clustering of the results reveals two major membrane binding modes, the helix-binding mode and the loop-binding mode. Taken into account the sequence conservation among the viral FPs and the results of mutagenesis studies establishing the role of specific residues in the helical portion of the FP in membrane association, we propose that the helix-binding mode represents more closely the biologically relevant form. In the helix-binding mode, the helix is stabilized in an oblique angle with respect to the membrane with its N-terminus tilted towards the membrane core. Analysis of the FP-lipid interactions shows the involvement of specific residues of the helix in membrane binding previously described as the fusion active core residues. Taken together, the results shed light on a key step involved in SARS-CoV2 infection with potential implications in designing novel inhibitors.

Workplace Violence Among Frontline Clinicians in Emergency Departments Amidst the COVID-19 Pandemic (preprint)

Background: Frontline clinicians working in the emergency department (ED) were at disportionate risk of workplace violence (WPV). This study investigated the prevalence of WPV and its association on quality of life (QOL) among this population in China during the COVID-19 pandemic.Results: The overall prevalence of WPV was 29.2% (95%CI: 26.5%-31.9%). Multiple logistic regression analysis revealed that having family/friends/colleagues infected with COVID-19 (OR=1.81, P=0.01), current smoking status (OR=3.24, P<0.01) and severity of anxiety symptoms (OR=1.13, P<0.01) were positively associated with WPV.  Working in inpatient ED units (OR=0.45, P<0.01) was negatively associated with WPV. After controlling for covariates, clinicians experiencing WPV had a lower overall QOL compared to those without (F (1, 1103) =14.2, P<0.01).Conclusions: Prevalence of workplace violence was common among ED clinicians in China during the COVID-19 pandemic. Considering the negative impact of WPV on QOL and care quality, timely preventive measures should be undertaken for ED clinicians.

The impact of vital signs on the death of patients with new coronavirus pneumonia: A systematic review and meta-analysis (preprint)

Background: Assessing the impact of vital signs (blood pressure, body temperature, heart rate, respiratory rate, and oxygen saturation) on the death of patients with new coronavirus pneumonia would provide a simple and convenient method for the monitoring of subsequent illness, and therefore, in some degree reduce treatment costs and increase the cure rate clinically. Methods: Six databases were retrieved. The software R 3.6.2 was used for meta-analysis of the included literature. Results: 12 studies were included, which comprise 8996 patients affected with COVID-19 infection. The meta-analysis study found that blood pressure (MAP, SBP and DBP), heart rate, respiration rate and SpO2 are the risk factors for disease progression in patients with COVID-19. Among them, the increase in MAP and the decrease in SpO2 have the greatest impact on the death of patients with COVID-19 [MAP: MD = 5.66, 95% CI (0.34, 10.98), SpO2: MD = -5.87, 95% CI (-9.17, -2.57), P = 0.0005]. However, comparing the body temperature of the death group and the survival group found that the body temperature was not statistically significant between the two groups [body temperature: MD = 0.21, 95% CI (-0.01, 0.43), P = 0.0661]. Conclusion: The increase in MAP, heart rate and respiratory rate, as well as the decrease in SBP, DBP and SpO2 are all independent risk factors for death in patients with COVID-19. These factors are simple and easy to monitor, and individualized treatment can be given to patients in time, reducing the mortality rate and improving treatment efficiency.

High-Performance Mining of COVID-19 Open Research Datasets for Text Classification and Insights in Cloud Computing Environments (preprint)

COVID-19 global pandemic is an unprecedented health crisis. Since the outbreak, many researchers around the world have produced an extensive collection of literatures. For the research community and the general public to digest, it is crucial to analyse the text and provide insights in a timely manner, which requires a considerable amount of computational power. Clouding computing has been widely adopted in academia and industry in recent years. In particular, hybrid cloud is gaining popularity since its two-fold benefits: utilising existing resource to save cost and using additional cloud service providers to gain assess to extra computing resources on demand. In this paper, we developed a system utilising the Aneka PaaS middleware with parallel processing and multi-cloud capability to accelerate the ETL and article categorising process using machine learning technology on a hybrid cloud. The result is then persisted for further referencing, searching and visualising. Our performance evaluation shows that the system can help with reducing processing time and achieving linear scalability. Beyond COVID-19, the application might be used directly in broader scholarly article indexing and analysing.

From Isolation to Coordination: How Can Telemedicine Help Combat the COVID-19 Outbreak? (preprint)

The rapid spread of Coronavirus disease 2019 (COVID-19) presents China with a critical challenge. As normal capacity of the Chinese hospitals is exceeded, healthcare professionals struggling to manage this unprecedented crisis face the difficult question of how best to coordinate the medical resources used in highly separated locations. Responding rapidly to this crisis, the National Telemedicine Center of China (NTCC), located in Zhengzhou, Henan Province, has established the Emergency Telemedicine Consultation System (ETCS), a telemedicine-enabled outbreak alert and response network. ETCS is built upon a doctor-to-doctor (D2D) approach, in which health services can be accessed remotely through terminals across hospitals. The system architecture of ETCS comprises three major architectural layers: (1) telemedicine service platform layer, (2) telemedicine cloud layer, and (3) telemedicine service application layer. Our ETCS has demonstrated substantial benefits in terms of the effectiveness of consultations and remote patient monitoring, multidisciplinary care, and prevention education and training.

[The risk and prevention of bio-aerosol transmission in dental clinics]

Corona virus disease 2019 (COVID-19) has become a Public Health Emergency of International Concern since its outbreak, and whether COVID-19 can transmit by aerosol remains controversial. The problem of bio-aerosol transmission in the relatively confined dental clinics has aroused wide attention in the field of dentistry. This review provided a most updated summary on the relation between bio-aerosols and dental clinics, which included the microorganisms in bio-aerosols, the bio-aerosol transmission and the sources testing methods, temporal and spatial distribution of dental bio-aerosols and summarized how to reduce the exposure to bio-aerosols in dental clinics.