Informational inefficiency on bitcoin futures

This paper investigates the dynamics and drivers of informational inefficiency in the Bitcoin futures market. To quantify the adaptive pattern of informational inefficiency, we leverage two groups of statistics which measure long memory and fractal dimension to construct a global-local market inefficiency index. Our findings validate the adaptive market hypothesis, and the global and local inefficiency exhibits different patterns and contributions. Regarding the driving factors of the time-varying inefficiency, our results suggest that trading activity of retailers (hedgers) increases (decreases) informational inefficiency. Compared to hedgers and retailers, the role played by speculators is more likely to be affected by the COVID-19 crisis. Extremely bullish and bearish investor sentiment has more significant impact on the local inefficiency. Arbitrage potential, funding liquidity, and the pandemic exert impacts on the global and local inefficiency differently. No significant evidence is found for market liquidity and policy uncertainty related to cryptocurrency.

Study on active compounds from Maxingganshi decoction for treatment of novel coronavirus pneumonia (COVID-19) based on network pharmacology and molecular docking method

Aim To explore the active compound of Maxingganshi decoction in treatment of novel coronavirus pneumonia(COVID-19). Methods With the help of TCMSP database, the chemical components and action targets of ephedra, almond, licorice, and gypsum in Maxingganshi decoction were searched, and then a C-T network, protein interaction analysis, GO functional enrichment analysis, and KEGG pathway enrichment were constructed. Analysis was performed to predict its mechanism of action. Results A total of 120 compounds in Maxingganshi decoction corresponded to 222 targets. PTGS2, ESR1, PPARG, AR, NOS2, NCOA2 acted on PI3K-Akt signaling pathway, TNF signaling pathway, IL-17 signaling pathway, T cell receptor signaling pathways, etc. The results of molecular docking showed that the affinity of quercetin, kaempferol, glabridin and other core compounds was similar to recommended drugs in treatment of COVID-19. Conclusions The active compounds of Maxingganshi decoction can target multiple pathways to achieve the therapeutic effect of COVID-19.Copyright © 2020 Publication Centre of Anhui Medical University. All rights reserved.

Analytical and biomedical applications of microfluidics in traditional Chinese medicine research

Traditional Chinese medicine (TCM) has significant benefits in the prevention and treatment of diseases due to its unique theoretical system and research techniques. However, there are still key issues to be resolved in the full interpretation and use of TCM, such as vague active compounds and mechanism of action. Therefore, it is promising to promote the research on TCM through innovative strategies and advanced cutting-edge technologies. Microfluidic chips have provided controllable unique platforms for biomedical applications in TCM research with flexible composition and large-scale integration. In this review, the analysis and biomedical applications of microfluidics in the field of TCM are highlighted, including quality control of Chinese herbal medicines (CHMs), delivery of CHMs, evaluation of pharmacological activity as well as disease diagnosis. Finally, potential challenges and prospects of existing microfluidic technologies in the inheritance and innovation of TCM are discussed.Copyright © 2022 Elsevier B.V.

Is this time the same? Housing market performance during SARS and COVID-19*

Purpose: This paper aims to examine the housing market responses to two outbreaks of respiratory diseases in Hong Kong during the Information Era – the 2003 SARS and COVID-19 outbreaks. Design/methodology/approach: The authors first investigate the aggregate housing price changes during SARS and COVID-19. Next, the authors conduct a battery of univariate analyses pertaining to the relationship between district-level housing price movements and geographic and demographic patterns during the pandemic periods. Finally, to shed light on the housing price dynamics at the micro level, the authors conduct an estate-level analysis with the data of 234 residential estates from 2003 to 2020, focusing on the impacts of SARS and COVID-19 on the idiosyncratic volatility of residential estates. Findings: Overall, SARS and COVID-19 outbreaks are negatively associated with housing prices. However, unlike SARS, the impact of COVID-19 on housing prices was moderate and transient. The geographic imbalances of the epidemic-induced underperformance are observed at the district and estate levels. Finally, the estate-level analysis presented in this paper indicates that the average idiosyncratic volatility of residential estates is 1.5% higher during the SARS period but 3.7% lower during the COVID-19 period. Lower volatility during COVID-19 is likely explained by household learning from the SARS period. Practical implications: Regulators and investors could resort to efficient information disclosure to attenuate idiosyncratic volatility's adverse impact on housing market returns. Originality/value: To the best of the authors' knowledge, the authors are among the first to examine housing market responses to the 2003 SARS and COVID-19 outbreaks using the Hong Kong housing market as a laboratory. © 2023, Emerald Publishing Limited.

A review on the identification of COVID-19, SARS and MERS.

COVID-19 is a global pandemic, which is the third outbreak and epidemic of infectious disease caused by coronavirus in this century and constitutes a major threat to human health.In this paper, COCOVID-19, Severeacute respiratory syndrome (SARS) and Middle East Respiratory syndrome (MERS) were analyzed to distinguish their clinical features, diagnosis, prognosis and prevention, so as to better prevent and treat related diseases.Copyright © 2020 Chinese Medical Association

A review on the identification of COVID-19, SARS and MERS.

COVID-19 is a global pandemic, which is the third outbreak and epidemic of infectious disease caused by coronavirus in this century and constitutes a major threat to human health.In this paper, COCOVID-19, Severeacute respiratory syndrome (SARS) and Middle East Respiratory syndrome (MERS) were analyzed to distinguish their clinical features, diagnosis, prognosis and prevention, so as to better prevent and treat related diseases.Copyright © 2020 Chinese Medical Association

A review on the identification of COVID-19, SARS and MERS.

COVID-19 is a global pandemic, which is the third outbreak and epidemic of infectious disease caused by coronavirus in this century and constitutes a major threat to human health.In this paper, COCOVID-19, Severeacute respiratory syndrome (SARS) and Middle East Respiratory syndrome (MERS) were analyzed to distinguish their clinical features, diagnosis, prognosis and prevention, so as to better prevent and treat related diseases.Copyright © 2020 Chinese Medical Association

Taking control of violence against doctors

Violence against healthcare professionals is a serious but understudied global problem and one that lacks evidence‐based solutions. The current research offers a novel explanation and intervention for addressing this issue: We propose that low feelings of control among patients and their family members play an important role in shaping doctor‐patient relationships. To regain a sense of control, we suggest that patients attribute responsibility to doctors for their suffering, which may in turn lead to aggressive behavioural intentions against one's doctors. We conducted three studies to understand whether individuals with low perceived control blame doctors more, and whether threats to their sense of control cause participants to attribute more responsibility to doctors. Study 1 found that feelings of lack of control were an important predictor of attributing responsibility for negative illness‐related incidents to doctors in a manner consistent with blame. Study 2 specified that the chaotic and unpredictable nature of illness, and not just its negative valence, is what drives attributions of increased responsibility to doctors. Study 3, which utilized a field setting in hospitals, found that an experimental intervention to increase feelings of control decreased frustration against (Study 3a/3b) and intention to harm doctors (Study 3b). These findings suggest that increasing feelings of control among patients can improve patient‐doctor relationships. We also discuss the role of control and scapegoating during the COVID‐19 pandemic.

Making Online English Learning More Engaging for Chinese College Students: A Comparative Analysis of MOOCs and Bilibili

Due to the COVID-19, Chinese universities have moved their English courses online. Students took lessons through various online learning platforms, especially MOOCs. However, MOOCs' problems such as low course completion rate, poor learning engagement, and learning efficiency harm the education quality. This study explores whether Bilibili, an online entertainment platform providing English videos, has better affordances in online English learning. Through a comparative analysis of the two platforms using questionnaires and SPSS software, the results show that compared to MOOCs, respondents perceived Bilibili to have a higher level of interactivity. In addition, respondents regarded Bilibili's screen bullets to have more significant positive effects on their English learning than MOOCs' discussion forums, especially in triggering their English learning interest. Still, the difference is not prominent in learning English grammar. Based on the results, the study argues that universities should choose between MOOCs and Bilibili according to the different characteristics of English skills. © 2022 Owner/Author.

[COVID-19 treated with oral Nirmatrelvir-Ritonavir in 3 children].

Objective: To summarize the application experience and the therapeutic effect of Nirmatrelvir-Ritonavir (trade name: Paxlovid) for COVID-19 in children. Methods: A retrospective analysis was performed on the clinical data, including collecting the clinical manifestations and clinical outcomes, dynamically monitoring the blood routine, hepatic and renal function and SARS-CoV-2 nucleic acid results, and observing the related side effects during the treatment, etc, of 3 cases with COVID-19 treated with Paxlovid admitted to Shanghai Children's Hospital (designated referral hospital for SARS-CoV-2 infection in Shanghai) from May 1st to June 1st, 2022. Results: The 3 cases were 12, 14, 17 years of age, among which 2 cases were males, 1 case was female. All 3 cases were mild cases with underlying diseases and risk of developing into severe COVID-19, with symptoms of high fever, sore throat and dry cough. The treatment of Paxlovid at 3rd day of symptom onset contributed to the symptom-free after 1-2 days and negative results of SARS-CoV-2 nucleic acid after 2-4 days. All patients had no adverse manifestations of gastrointestinal tract and nervous system but a case had little skin rashes, which recovered after the withdrawal of Paxlovid. Three cases had normal hepatic and renal function during the Paxlovid treatment. At 3 months after discharge, no clinical manifestations of post-COVID syndrome were found in all 3 cases. Conclusion: Paxlovid was effective and relatively safe in the treatment of 3 children with COVID-19.

Estimating Infection-Related Human Mobility Networks Based on Time Series Data of COVID-19 Infection in Japan

Background: Comprehensive and evidence-based countermeasures against emerging infectious diseases have become increasingly important in recent years. COVID-19 and many other infectious diseases are spread by human movement and contact, but complex transportation networks in the 21st century make it difficult to predict disease spread in rapidly changing situations. It is especially challenging to estimate the network of infection transmission in countries where traffic and human movement data infrastructure is not yet developed. Methods: In this study, we devised a method utilizing an ordinary and partial differential equations-based mathematical model and a modified mathematical optimization method to estimate the network of transmission of COVID-19 from the time series data of its infection and applied it to determine its spread across areas in Japan. Furthermore, utilizing the estimated human mobility network, we predicted the spread of infection using the Tokyo Olympics as a model. Findings: We incorporated the effects of soft lockdowns, such as the declaration of a state of emergency, and changes in the infection network due to government-sponsored travel promotion, and revealed that the estimated effective distance captured human mobility changing dynamically in the different stages of the pandemic. The model predicted that the Tokyo Olympic and Paralympic Games would increase the number of infected cases in the host prefectures by up to 80%. Interpretation: The models used in this study are available online, and our data-driven infection network models are scalable, whether it be at the level of a city, town, country, or continent, and applicable anywhere in the world, as long as the time-series data of infections per region is available. These estimations of effective distance and the depiction of infectious disease networks based on actual infection data are expected to be useful in devising data-driven countermeasures against emerging infectious diseases worldwide. © 2022 by the authors.

Characterization of remote second-opinion oncology patients and associated changes in management

Background: The utilization of virtual second opinions in oncology has increased considerably in the last decade, driven by the increased complexity of care and desire for expert opinion, improved technologies in telemedicine, and the acceleration of virtual services due to the Covid-19 pandemic. Therefore, it is important to further understand the patient populations that currently use virtual second opinion programs and to measure their effectiveness. Virtual second opinion programs provide a platform for patients to submit their medical history and questions regarding their condition to remote specialists who then render their opinions on diagnosis and management. Currently there is a paucity of research on the types of patient populations that seek second opinions and the outcomes of these rendered opinions. Here we describe the patient characteristics and changes in management associated with utilization of a virtual second opinion service at an academic medical center. Methods: In this IRB-approved retrospective review, we identified 657 cancer patients that utilized a virtual digital health platform to engage in second opinions at Stanford Healthcare. Patient demographics, cancer staging, site of origin, and prior therapeutic and surgical history were collected. Physician opinions rendered were self-classified into “major change in treatment”, “minor change in treatment”, or “no change in treatment.”. Results: The majority of patients who utilized the virtual second-opinion platform had a diagnosis late-stage cancer (with 77.2% at Stage III or IV). Breast cancer was the most common primary tumor site (24.7% of patients) followed by GI (21.9%) and GU malignancies (14.0%). Patients diagnosed with dermatological (4.4%), head and neck (3.3%), and neurological (3.2%) malignancies were least common. Physicians providing the virtual second-opinion were primarily medical oncologists (67.6%), followed by gynecologists (6.8%), urologists (5.2%), radiation oncologists (5.0%), and surgical oncologists (4.4%). Physicians self-reported that in more than half of cases reviewed (53.8%) a minor or major treatment change was recommended. Conclusions: This study showed that patients access second opinion platforms at late stage of cancer disease progression. With treatment changes recommended for more than half of the cases, virtual second opinion programs can potentially have a significant impact on cancer care. Patient satisfaction and clinical outcomes from virtual second opinion programs is an area of on-going research.

Taking control of violence against doctors

Violence against healthcare professionals is a serious but understudied global problem and one that lacks evidence-based solutions. The current research offers a novel explanation and intervention for addressing this issue: We propose that low feelings of control among patients and their family members play an important role in shaping doctor-patient relationships. To regain a sense of control, we suggest that patients attribute responsibility to doctors for their suffering, which may in turn lead to aggressive behavioural intentions against one's doctors. We conducted three studies to understand whether individuals with low perceived control blame doctors more, and whether threats to their sense of control cause participants to attribute more responsibility to doctors. Study 1 found that feelings of lack of control were an important predictor of attributing responsibility for negative illness-related incidents to doctors in a manner consistent with blame. Study 2 specified that the chaotic and unpredictable nature of illness, and not just its negative valence, is what drives attributions of increased responsibility to doctors. Study 3, which utilized a field setting in hospitals, found that an experimental intervention to increase feelings of control decreased frustration against (Study 3a/3b) and intention to harm doctors (Study 3b). These findings suggest that increasing feelings of control among patients can improve patient-doctor relationships. We also discuss the role of control and scapegoating during the COVID-19 pandemic. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

VR tourism experiences and tourist behavior intention in COVID-19: an experience economy and mood management perspective

Purpose Virtual reality (VR) technology is a potential tool for tourism marketers to maintain the attractiveness of their destinations and recover from the COVID-19 pandemic. However, the effectiveness of VR technology in motivating potential tourists' visit intention under lockdown conditions remains unknown. An integrated model based on the experience economy framework and mood management theory was, therefore, used to explain how tourists' VR experiences affect their mood management processes and subsequent behaviors. This research also examined how perceived travel risk influenced the relationship between mood management processes and future decisions. Design/methodology/approach This study used a cross-sectional design based on a sample collected from a Chinese survey company, Sojump. The author surveyed 285 respondents who had experienced VR tourism activities during the COVID-19 pandemic. The research model was tested using partial least squares-structural equation modeling. Findings The results demonstrated that the four dimensions of VR experiences differently affected mood management processes, while perceived travel risk differently moderated the influence of mood management processes on visit intention and VR stickiness. This provides insights for tourism marketers to adapt to the current tourism environment and develop recovery strategies. Originality/value In response to gaps in the literature, this research examined the effectiveness of VR technology in driving tourists' visit intention during the COVID-19 pandemic, providing insights for tourism marketers to successfully implement VR tourism and plan timely recovery strategies.

Study on active compounds from Maxingganshi decoction for treatment of novel coronavirus pneumonia (COVID-19) based on network pharmacology and molecular docking method

Aim To explore the active compound of Maxingganshi decoction in treatment of novel coronavirus pneumonia(COVID-19). Methods With the help of TCMSP database, the chemical components and action targets of ephedra, almond, licorice, and gypsum in Maxingganshi decoction were searched, and then a C-T network, protein interaction analysis, GO functional enrichment analysis, and KEGG pathway enrichment were constructed. Analysis was performed to predict its mechanism of action. Results A total of 120 compounds in Maxingganshi decoction corresponded to 222 targets. PTGS2, ESR1, PPARG, AR, NOS2, NCOA2 acted on PI3K-Akt signaling pathway, TNF signaling pathway, IL-17 signaling pathway, T cell receptor signaling pathways, etc. The results of molecular docking showed that the affinity of quercetin, kaempferol, glabridin and other core compounds was similar to recommended drugs in treatment of COVID-19. Conclusions The active compounds of Maxingganshi decoction can target multiple pathways to achieve the therapeutic effect of COVID-19.

From "new social risks" to "COVID social risks": the challenges for inclusive society in South Korea, Hong Kong, and Taiwan Amid the pandemic

The coronavirus disease (COVID-19) pandemic has created tremendous hazards to people worldwide. Incidence, hospitalization, and mortality rates have varied by individual and regional socioeconomic indicators. However, little is known about the indirect social and economic losses following the COVID-19 pandemic and to what extent they have disproportionately affected different groups of people. Building on the traditional conceptualizations of "old" and "new social risks," this article tracks and analyzes the emerging "COVID social risks" in five critical areas: physical health, employment and income, skills and knowledge, care, and social relationships. The article empirically examines to what extent the manifestations of "COVID social risks" describe the makings of a new class divide in South Korea, Hong Kong, and Taiwan. Finally, this article discusses whether "COVID social risks" present a temporary or lasting phenomenon and to what extent interactions with processes of digitization and de-globalization are likely to produce similar problem pressures for East Asian governments amid future crises. East Asian governments should facilitate individuals' ability to absorb "COVID social risks" and institutionalize a new welfare policy settlement that emphasizes complementarities between the social protection, social investment, and social innovation policy paradigms.

A comprehensive review of diagnosis and treatment in critically ill adults with COVID-19

The highly infectious coronavirus disease 2019 (COVID-19) that emerged in Wuhan, China, was caused by a novel strain of coronavirus, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Subsequently, it was considered as one of the serious potential threats to global public health due to rapid spread worldwide. The purpose of this paper is to describe the characteristics of epidemiology, clinical manifestations, diagnosis, differential diagnosis, and treatment of traditional Chinese medicine and modern medicine in critically ill adults with COVID-19. We searched the related papers published up to April 20, 2020 on the PubMed and the China National Knowledge Infrastructure database. The findings will improve the potential recognition of COVID-19 among clinicians and the general public, and presumably contribute to the reduction of mortality.

High-resolution satellite-based PM2.5 concentration data acquired during the COVID-19 outbreak throughout China: Model, variations and reasons

High spatial resolution and broad spatial coverage data on fine particulate matter (PM2.5) are of great significance to estimating the exposure to PM2.5. However, the data is currently very limited worldwide. In addition, the COVID-19 pandemic in China, starting in January 2020, have led to significant variations in the PM2.5 concentrations. To identify the variations and causes of PM2.5 concentrations before and after the COVID-19 pandemic from 23 January to 24 March during 20182020, a geographically weighted regression model with a 1 km spatial resolution covering all of mainland China was developed. The overall R and RMSE values of the model cross validation were 0.91 and 17.19 g/m3, respectively, indicating that the model performed satisfactorily in estimating the PM2.5 values. Then, based on the satellite-based PM2.5 values, the results show that the PM2.5 values fluctuated significantly across mainland China before and after the COVID-19 outbreak. Additionally, the mean PM2.5 values decreased by 5.41 g/m3 in 2020 compared to 2019. In Hubei Province, the mean PM2.5 values increased by 1.85 g/m3 in 2019 compared to 2018, whereas they dramatically decreased by 23.18 g/m3 in 2020 compared to 2019. Finally, the results show that anthropogenic factors were primarily responsible for the variations in the PM2.5 concentrations in Heilongjiang, Jilin, and Liaoning provinces;whereas, both meteorological and anthropogenic factors were responsible for the variations in Hubei, Henan, Anhui, Shandong, and Jiangsu provinces during the study period. These results provide an important reference for the future development of air pollution control policies in China. Author

The Study About the Emotional State and Physical Activity of Adolescents During the COVID-19 Epidemic

To investigate the relationship between emotional status and physical activity in adolescents during the epidemic period of Corona Virus Disease 2019. 600 junior and senior high school students from three municipal middle schools were randomly selected as the research objects. The self-evaluation of anxiety and depression and the evaluation of physical activity were carried out in the form of questionnaire survey. A total of 600 questionnaires were put in and 562 were recovered. The scores of SDS and SAS were 49.30 ± 7.02, and 53.42 ± 5.37 respectively. According to different age groups, there was significant difference in SAS among the three groups in different age groups (P <0.05). The total score of PA was (3.24 ± 0.98). According to different age groups, there were significant differences in PA total score, MVPA activities, physical education activities, weekend activities and one week total activities among the three groups (P <0.05). The total score of anxiety was negatively correlated with the total score of PA (r = −0.54, P = 0.024), MVPA (r = −0.38, P = 0.049) and physical education (r = −0.62, P = 0.016), and the total score of one week was negatively correlated (r = −0.44, P = 0.041). During the period of Corona Virus Disease 2019 epidemic, the anxiety level of adolescents increases with age, while the physical activity status decreases gradually, and is negatively correlated with anxiety. It is necessary to strengthen sports activities and protect emotional health in this special period. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans

The COVID-19 pandemic has spread globally for several months. Because its transmissibility and high pathogenicity seriously threaten people's lives, it is crucial to accurately and quickly detect COVID-19 infection. Many recent studies have shown that deep learning (DL) based solutions can help detect COVID-19 based on chest CT scans. However, most existing work focuses on 2D datasets, which may result in low quality models as the real CT scans are 3D images. Besides, the reported results span a broad spectrum on different datasets with a relatively unfair comparison. In this paper, we first use three state-of-the-art 3D models (ResNet3D101, DenseNet3D121, and MC3 18) to establish the baseline performance on three publicly available chest CT scan datasets. Then we propose a differentiable neural architecture search (DNAS) framework to automatically search the 3D DL models for 3D chest CT scans classification and use the Gumbel Softmax technique to improve the search efficiency. We further exploit the Class Activation Mapping (CAM) technique on our models to provide the interpretability of the results. The experimental results show that our searched models (CovidNet3D) outperform the baseline human-designed models on three datasets with tens of times smaller model size and higher accuracy. Furthermore, the results also verify that CAM can be well applied in CovidNet3D for COVID-19 datasets to provide interpretability for medical diagnosis. Code: https://github.com/HKBU-HPML/CovidNet3D.