School counselors' perceived school climate, leadership practice, psychological empowerment, and multicultural competence before and during COVID‐19

Following a population‐based randomized design, we investigated changes of school counselors' psychological empowerment, multicultural competence, and leadership practice, as well as their perception of school climate from before to during COVID‐19. Specifically, school counselors were randomized into two conditions: (a) the pre‐COVID‐19 condition (n = 506) and (b) the current‐COVID‐19 condition (n = 542). Participants in the pre‐COVID condition responded to survey items following a retrospective manner based on their experiences between September 2019 and March 2020. We found that participants in the current COVID‐19 condition scored significantly higher in psychological empowerment and perceived school climate and lower in multicultural competence and leadership practices compared to the participants in the pre‐COVID‐19 condition. Regardless of directionality of changes, results supported the significant impacts that the pandemic had on school counselors' roles related to addressing systemic issues. We discussed implications of the results to school counseling practice and school counselor training.

Neutrophil count multiplied by D-dimer combined with pneumonia may better predict short-term outcomes in patients with acute ischemic stroke.

OBJECTIVE: To investigate the predictive value of neutrophil, D-dimer and diseases associated with stroke for short-term outcomes of acute ischemic stroke (AIS). METHODS: By collecting the subitems of laboratory data especially routine blood and coagulation test in AIS patients, and recording their clinical status, the correlation, regression and predictive value of each subitem with the short-term outcomes of AIS were analyzed. The predict model was constructed. RESULTS: The neutrophil count multiplied by D-dimer (NDM) had the best predictive value among the subitems, and the area under the receiver operating characteristic (ROC) curve reached 0.804. When clinical information was not considered, the Youden index of NDM was calculated to be 0.48, corresponding to an NDM value of 7.78, a diagnostic sensitivity of 0.79, specificity of 0.69, negative predictive value of 96%. NDM were divided into 5 quintiles, the five grade of NDM (quintile) were < = 1.82, 1.83-2.41, 2.42-3.27, 3.28-4.49, 4.95+, respectively. The multivariate regression analysis was conducted between NDM (quintile), Babinski+, pneumonia, cardiac disease and poor outcomes of AIS. Compared with the first grade of NDM (quintile), the second grade of NDM (quintile) was not significant, but the third grade of NDM (quintile) showed 7.061 times, the fourth grade of NDM (quintile) showed 11.776 times, the fifth grade of NDM (quintile) showed 23.394 times in short-term poor outcomes occurrence. Babinski sign + showed 1.512 times, pneumonia showed 2.995 times, cardiac disease showed 1.936 times in short-term poor outcomes occurrence compared with those negative patients. CONCLUSIONS: NDM combined with pneumonia may better predict short-term outcomes in patients with AIS. Early prevention, regular examination and timely intervention should be emphasized for patients, which may reduce the risk of short-term poor outcomes.

Convergence Evaluation of Sports and Tourism Industries in Urban Agglomeration of Guangdong–Hong Kong–Macao Greater Bay Area and Its Spatial-Temporal Evolution

The convergence of sports and tourism industries is a vital direction for the coordinated development of industries, and a vital means to build a quality life circle suitable for living, working and traveling in the urban agglomeration of the Guangdong–Hong Kong–Macao Greater Bay Area (GBA). By using the coupling coordination degree model and exploratory spatial data analysis and establishing an evaluating indicator system for the converged development of sports and tourism industries, this paper measures and analyzes the convergence development level, spatial-temporal evolution, and spatial correlation of the two industries in 11 cities of GBA from 2011 to 2020. The results showed that the synthetical development level of the two industries in urban agglomeration of GBA was steadily rising, with significant differences in regional development, showing the east coast of GBA > the north coast of GBA > the west coast of GBA. The growth trend of industrial convergence degree is obvious, but the overall coupling coordination degree is not high, basically in the late maladjustment stage and transition stage. The convergence of the two industries shows a positive aggregation distribution in space, and the degree of agglomeration is rising. Cities around the Pearl River Estuary mostly belong to the “high-high” spatial association type, with obvious spillover effect, and become a significant growth pole for the converged development of the two industries in GBA. Cities in the periphery of GBA and the west coast of GBA mostly belong to the “low-low” and “low-high” spatial association types. Finally, sustainable development strategies are put forward from four aspects: spatial layout coordination, industrial division coordination, exchange platform coordination, and regional policy coordination, so as to promote the highly converged and coordinated development of the sports and tourism industries in the urban agglomeration of GBA.

Antiviral drugs suppress infection of 2019-nCoV spike pseudotyped virus by interacting with ACE2 protein.

The outbreak of coronavirus disease 2019 (COVID-19) has induced a large number of deaths worldwide. Angiotensin-converting enzyme 2 (ACE2) is the entry receptor for the 2019 novel coronavirus (2019-nCoV) to infect the host cells. Therefore, ACE2 may be an important target for the prevention and treatment of COVID-19. The aim of this study was to investigate the inhibition effect of valaciclovir hydrochloride (VACV), zidovudine (ZDV), saquinavir (SQV), and efavirenz (EFV) on 2019-nCoV infection. The results of molecule docking and surface plasmon resonance showed that VACV, ZDV, SQV, and EFV could bind to ACE2 protein, with the KD value of (4.33 ± 0.09) e-8 , (6.29 ± 1.12) e-6 , (2.37 ± 0.59) e-5 , and (4.85 ± 1.57) e-5 M, respectively. But only ZDV and EFV prevent the 2019-nCoV spike pseudotyped virus to enter ACE2-HEK293T cells with an EC50 value of 4.30 ± 1.46 and 3.92 ± 1.36 µM, respectively. ZDV and EFV also have a synergistic effect on preventing entry of virus into cells. In conclusion, ZDV and EFV suppress 2019-nCoV infection of ACE2-HEK293T cells by interacting with ACE2.

Recombinant Human Thymosin Beta-4 Protects against Mouse Coronavirus Infection.

Coronaviruses (CoVs) are enveloped and harbor an unusually large (30-32 kb) positive-strand linear RNA genome. Highly pathogenic coronaviruses cause severe acute respiratory syndrome (SARS) (SARS-CoV and SARS-CoV-2) and Middle East respiratory syndrome (MERS) (MERS-CoV) in humans. The coronavirus mouse hepatitis virus (MHV) infects mice and serves as an ideal model of viral pathogenesis, mainly because experiments can be conducted using animal-biosafety level-2 (A-BSL2) containment. Human thymosin beta-4 (Tß4), a 43-residue peptide with an acetylated N-terminus, is widely expressed in human tissues. Tß4 regulates actin polymerization and functions as an anti-inflammatory molecule and an antioxidant as well as a promoter of wound healing and angiogenesis. These activities led us to test whether Tß4 serves to treat coronavirus infections of humans. To test this possibility, here, we established a BALB/c mouse model of coronavirus infection using mouse CoV MHV-A59 to evaluate the potential protective effect of recombinant human Tß4 (rhTß4). Such a system can be employed under A-BSL2 containment instead of A-BSL3 that is required to study coronaviruses infectious for humans. We found that rhTß4 significantly increased the survival rate of mice infected with MHV-A59 through inhibiting virus replication, balancing the host's immune response, alleviating pathological damage, and promoting repair of the liver. These results will serve as the basis for further application of rhTß4 to the treatment of human CoV diseases such as COVID-19.

Diagnosis of COVID-19 Pneumonia Based on Graph Convolutional Network.

A three-dimensional (3D) deep learning method is proposed, which enables the rapid diagnosis of coronavirus disease 2019 (COVID-19) and thus significantly reduces the burden on radiologists and physicians. Inspired by the fact that the current chest computed tomography (CT) datasets are diversified in equipment types, we propose a COVID-19 graph in a graph convolutional network (GCN) to incorporate multiple datasets that differentiate the COVID-19 infected cases from normal controls. Specifically, we first apply a 3D convolutional neural network (3D-CNN) to extract image features from the initial 3D-CT images. In this part, a transfer learning method is proposed to improve the performance, which uses the task of predicting equipment type to initialize the parameters of the 3D-CNN structure. Second, we design a COVID-19 graph in GCN based on the extracted features. The graph divides all samples into several clusters, and samples with the same equipment type compose a cluster. Then we establish edge connections between samples in the same cluster. To compute accurate edge weights, we propose to combine the correlation distance of the extracted features and the score differences of subjects from the 3D-CNN structure. Lastly, by inputting the COVID-19 graph into GCN, we obtain the final diagnosis results. In experiments, the dataset contains 399 COVID-19 infected cases, and 400 normal controls from six equipment types. Experimental results show that the accuracy, sensitivity, and specificity of our method reach 98.5%, 99.9%, and 97%, respectively.

Perioperative Management of Patients Infected with the Novel Coronavirus: Recommendation from the Joint Task Force of the Chinese Society of Anesthesiology and the Chinese Association of Anesthesiologists.

The outbreak of the new Coronavirus disease, COVID-19, has been involved in 77,262 cases in China as well as in 27 other countries as of February 24, 2020. Because the virus is novel to human beings, and there is no vaccine yet available, every individual is susceptible and can become infected. Healthcare workers are at high risk, and unfortunately, more than 3,000 healthcare workers in China have been infected. Anesthesiologists are among healthcare workers who are at an even higher risk of becoming infected because of their close contact with infected patients and high potential of exposure to respiratory droplets or aerosol from their patients' airways. In order to provide healthcare workers with updated recommendations on the management of patients in the perioperative setting as well as for emergency airway management outside of the operating room, the two largest anesthesia societies, the Chinese Society of Anesthesiology (CSA) and the Chinese Association of Anesthesiologists (CAA) have formed a task force to produce the recommendations. The task force hopes to help healthcare workers, particularly anesthesiologists, optimize the care of their patients and protect patients, healthcare workers, and the public from becoming infected. The recommendations were created mainly based on the practice and experience of anesthesiologists who provide care to patients in China. Therefore, adoption of these recommendations outside of China must be done with caution, and the local environment, culture, uniqueness of the healthcare system, and patients' needs should be considered. The task force will continuously update the recommendations and incorporate new information in future versions.

The psychological burden experienced by Chinese citizens during the COVID-19 outbreak: prevalence and determinants.

BACKGROUND: The present study is aims to investigate the prevalence and determinants of depression and anxiety among the general population in the context of coronavirus disease 2019 (COVID-19) outbreak in China. METHODS: A cross-sectional self-report survey methodology was used to gather the following data from Chinese citizens: sociodemographic information, physical and mental health disorder history, daily online time, social media exposure, feeling toward social media exposure, perception of the disease, infection cases in the local area, and previous experiences with stressful life incidents. Levels of anxiety and depression were self-reported employing the Generalized Anxiety Disorder 7-item scale and the Patient Health Questionnaire 9-item scale, respectively. RESULTS: Among the 6130 participants, the prevalence of anxiety and depression was 7.1 and 12%, respectively. Multiple logistic regression analysis revealed that psychological disturbances were associated with gender, people with religious background, being a medical professional, having physical or mental health disease, difficulty accessing medical aids, experience with traumatic incidents, the perceived possibility of sequelae after being cured of COVID-19, daily online time, the source of the information relevant to COVID-19, frequency of receiving information regarding COVID-19, and negative feelings triggered by social media. CONCLUSIONS: There needs to be a consistent message from authorities to reduce the panic and confusion of the public, and to decrease public exposure to persistently negative information. It is necessary to help people transform their negative experiences into positive changes especially for individuals with physical illness, individuals with mental health disorders, and medical professionals.

Microfluidic-RT-LAMP chip for the point-of-care detection of emerging and re-emerging enteric coronaviruses in swine.

Porcine epidemic diarrhea virus (PEDV), porcine deltacoronavirus (PDCoV), and swine acute diarrhea syndrome-coronavirus (SADS-CoV) are three emerging and re-emerging coronaviruses (CoVs). Symptoms caused by these three viruses are extremely similar, including acute diarrhea, vomiting and even death in piglets. To date, strict biosecurity is still the most effective disease prevention and control measures, and the early detection of pathogens is the most important link. Here, we developed a microfluidic-RT-LAMP chip detection system for the first time, which could detected PEDV, PDCoV and SADS-CoV simultaneously, and had advantages of rapid, simple, sensitive, high-throughput, and accurate at point-of-care settings. The lowest detection limits of the microfluidic-RT-LAMP chip method are 101 copies/µL, 102 copies/µL and 102 copies/µL for PEDV, PDCoV and SADS-CoV, respectively. The whole detection procedure can be finished rapidly in 40 min without any cross-reaction with other common swine viruses. A total of 173 clinical swine fecal samples characterized with diarrheal symptoms were used to evaluate the performance of the newly developed system, which presented good stabilities (C.V.s<5%) and specificities (100%), and possessed sensitivities of 92.24%, 92.19% and 91.23% for PEDV, PDCoV and SADS-CoV respectively. In summary, the established microfluidic-RT-LAMP chip detection system could satisfy the demanding in field diagnoses, which was suitable for promotion in remote areas due to its fast, portable and cost-effective characters.