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1.
Value in Health ; 26(6 Supplement):S182, 2023.
Article in English | EMBASE | ID: covidwho-20244975

ABSTRACT

Objectives: To evaluate COVID-19 vaccines in primary prevention against infections and lessening the severity of illness following the most recent outbreak of the SARS-CoV-2 Omicron variant in Shanghai. Method(s): To investigate whether inactivated vaccines were effective in protecting against COVID-19 infections, we estimated the odds ratio (OR) of the vaccination in COVID-19 cases vs. matched community-based healthy controls. To evaluate the potential benefits of vaccination in lowering the risk of symptomatic infection (vs. asymptomatic), we estimated the relative risk (RR) of symptomatic infections among diagnosed patients. We also applied the multivariate stepwise Logistic regression analyses to measure the risk of disease severity (symptomatic vs. asymptomatic and moderate/severe vs. mild) in COVID-19 patient cohort with vaccination status as an independent variable while controlling for potential confounding factors. Result(s): Out of the 153,544 COVID-19 patients included in the analysis, 118,124 (76.9%) patients had been vaccinated and 143,225(93.3%) were asymptomatic patients. Of the 10,319 symptomatic patients, 10,031(97.2%), 281(2.7%) and 7(0.1%) experienced mild, moderate, and severe infections, respectively. There is no evidence that the vaccination helped protect from infections (OR=0.82, p=0.613). The vaccination, however, offered a small but significant protection against symptomatic infections (RR=0.92, p < 0.001) and halved the risk of moderate/severe infections (OR=0.48, 95% CI: 0.37 - 0.61). Older age (> 60 years) and malignant tumors were significantly associated with moderate/severe infections. Gender also appeared to be a risk factor for symptomatic infections, with females being associated with a lower risk for moderate/severe illness. Conclusion(s): Inactivated COVID-19 vaccines helped provide a small but significant protection against symptomatic infections and halved risk of moderate/severe illness among symptomatic patients. The vaccination was not effective in blocking COVID-19 Omicron variant community spread.Copyright © 2023

2.
Value in Health ; 26(6 Supplement):S49, 2023.
Article in English | EMBASE | ID: covidwho-20244974

ABSTRACT

Objectives: This study aimed to determine disease severity, clinical features, clinical outcome in hospitalized patients with the Omicron variant and evaluate the effectiveness of one-dose, two-dose, and three-dose inactivated vaccines in reducing viral loads, disease course, ICU admissions and severe diseases. Method(s): Retrospective cohort analysis was performed on 5,170 adult patients (>=18 years) identified as severe acute respiratory syndrome coronavirus 2 positive with Reverse Transcription Polymerase Chain Reaction admitted at Shanghai Medical Center for Gerontology between March 2022 and June 2022. COVID-19 vaccination effectiveness was assessed using logistic regression models evaluating the association between the risk of vaccination and clinical outcomes, adjusting for confounders. Result(s): Among 5,170 enrolled patients, the median age was 53 years, and 2,861 (55.3%) were male. 71.0% were mild COVID-19 cases, and cough (1,137 [22.0%]), fever (592 [11.5%]), sore throat (510 [9.9%]), and fatigue (334 [6.5%]) were the most common symptoms on the patient's first admission. Ct values increased generally over time and 27.1% patients experienced a high viral load (Ct value< 20) during their stay. 105(2.0%) of these patients were transferred to the intensive care unit after admission. 97.1% patients were cured or showed an improvement in symptoms and 0.9% died in hospital. The median length of hospital stay was 8.7+/-4.5 days. In multivariate logistic analysis, booster vaccination can significantly reduce ICU admissions and decrease the severity of COVID-19 outcome when compared with less doses of vaccine (OR=0.75, 95%CI, 0.62-0.91, P<=0.005;OR=0.99, 95%CI, 0.99-1.00, p<0.001). Conclusion(s): In summary, the most of patients who contracted SARSCoV-2 omicron variant had mild clinical features and patients with vaccination took less time to lower viral loads. As the COVID-19 pandemic progressed, an older and less vaccinated population was associated with higher risk for ICU admission and severe disease.Copyright © 2023

3.
Finance Research Letters ; 52, 2023.
Article in English | Web of Science | ID: covidwho-2311699

ABSTRACT

This article investigates whether investors exhibit herd behavior in a high market volatility state. A modified herding model with the Kalman filter and GARCH methodology is used to estimate the time-variation herding corresponding to each influential event. Our proposed model provides comprehensive results for the relationship between investor herding and the market state, which has been argued in the previous literature. We find that investors indeed herd in volatile markets, including the 2001 dot.com bubble and the 2009 global financial crisis. However, in recent years, anti-herding is prevalent and herding is slight even in turbulent markets, such as the 2020 Covid-19 pandemic.

4.
Chinese Management Studies ; 2023.
Article in English | Web of Science | ID: covidwho-2311697

ABSTRACT

PurposeThis study aims to examine how participation in the Belt and Road Initiative (BRI) affects province-level regional economic resilience. In the context of dual circulation - the new development paradigm proposed by the Chinese Government - participating in the BRI is an important means of connecting both international and domestic circulations and achieving high economic resilience. The complex causal relationship between participation in the BRI and province-level regional economic resilience is investigated. Design/methodology/approachBased on the complex system view, this study uses fuzzy set qualitative comparative analysis (fsQCA) to examine the impact on regional economic resilience when provinces participate in the BRI through unimpeded trade, infrastructure connectivity, financial integration and people-to-people bonds under the two conditions of attention allocation and buffering capacity. Qualitative textual analysis is applied to analyse provincial work reports, and relevant statistical data are used to measure the economic resilience from 2013 to 2020. FindingsThe authors identified three condition configurations that lead to a high regional economic resilience at province-level and one condition configuration that lead to no high-level regional economic resilience. Research limitations/implicationsIn-depth analyses of qualitative materials should be conducted to explain the systematic relationships among the conditions. Originality/valueThis research is of practical significance to the development of the theoretical framework and practices of the BRI in the context of dual circulation.

5.
Obesity Science & Practice ; 2023.
Article in English | Web of Science | ID: covidwho-2308709

ABSTRACT

BackgroundThe first year of the Covid-19 pandemic saw drastic changes to bariatric surgical practice, including postponement of procedures, altered patient care and impacting on the role of bariatric surgeons. The consequences of this both personally and professionally amongst bariatric surgeons has not as yet been explored. AimsThe aim of this research was to understand bariatric surgeons' perspectives of working during the first year of the pandemic to explore the self-reported personal and professional impact. MethodsUsing a retrospective, two phased, study design with global participants recruited from closed, bariatric surgical units. The first phase used a qualitative thematic analytic framework to identify salient areas of importance to surgeons. Themes informed the construction of an on-line, confidential survey to test the potential generalizability of the interview findings with a larger representative population from the global bariatric surgical community. FindingsFindings of the study revealed that the first year of the pandemic had a detrimental effect on bariatric surgeons both personally and professionally globally. ConclusionThis study has identified the need to build resilience of bariatric surgeons so that the practice of self-care and the encouragement of help-seeking behaviors can potentially be normalized, which will in turn increase levels of mental health and wellbeing.

6.
IEEE Microwave Magazine ; 24(5):20-21, 2023.
Article in English | Scopus | ID: covidwho-2302134

ABSTRACT

The 2022 IEEE Microwave Theory and Technology Society (MTT-S) International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP 2022) was held in Guangzhou, China, 12-14 December 2022 (see Figure 1). Due to the continuous impact of COVID-19 pandemic, small-size, on-site opening and closing ceremonies were organized in Guangzhou, while all the conference sessions were held online. The special Women in Microwaves (WiM) and Wireless session sponsored by the WiM subcommittee under the IEEE Membership and Geographical Activities of the MTT-S AdCom, was held in the afternoon of 13 December. More than 60 people attended this event, including three invited speakers from Austria, Japan, and Mainland China;six panelists from Mainland China, and some other professionals and graduate students from industries and universities (see Figure 2). © 2000-2012 IEEE.

7.
China Safety Science Journal ; 33(1):198-205, 2023.
Article in Chinese | Scopus | ID: covidwho-2291215

ABSTRACT

In order to improve the scientificity of site selection decision⁃making of emergency medical facilities for rural public health emergencies, based on the characteristics of public health emergencies with rapid spread and strong harmfulness of corona virus disease 2019(COVID-19), according to the design standards of emergency medical facilities, taking into account the characteristics of small rural medical budget and rugged emergency roads, firstly, six influencing factors of engineering geological conditions, unit cost, infection rate, arrival time, site scale and service coverage area of alternative sites of facilities were selected. The Entropy value method(EVM) method and analytic hierarchy process(AHP) method were effectively combined to determine the weight of influencing factors. Secondly, a multi⁃objective location model considering the minimum sum of the distance from patients to emergency medical facilities and the optimal comprehensive evaluation value of the selected emergency medical facilities was established. Then, an IPSO algorithm was designed to solve the model and get the location decision. Finally, some villages in Tianmen city were selected for empirical analysis to verify the effectiveness of the model algorithm. The results show that infection rate and unit cost are the main influencing factors for the construction of emergency medical facilities. IPSO algorithm selects three emergency medical facilities, which can meet the treatment needs of patients in eight villages, and ensure that patients can seek medical treatment within 4-7 minutes,providing guarantee for efficient epidemic prevention and control activities. © 2023 China Safety Science Journal. All rights reserved.

8.
Cell Reports Physical Science ; 4(1), 2023.
Article in English | Scopus | ID: covidwho-2268911

ABSTRACT

Monitoring respiration is vital for personal diagnosis of chronic diseases. However, the existing respiratory sensors have severe limitations, such as single function, finite detection parameters, and lack of smart signal analysis. Here, we present an integrated wearable and low-cost smart respiratory monitoring sensor (RMS) system with artificial intelligence (AI)-assisted diagnosis of respiratory abnormality by detecting multi-parameters of human respiration. Coupling with intelligent analysis and data mining algorithms embedded in a phone app, the lighter system of 7.3 g can acquire real-time self-calibrated parameters, including breathing frequency, apnea hypopnea index (AHI), vital capacity (VC), peak expiratory flow (PEF), and other respiratory indexes with an accuracy >95.21%. The data can be wirelessly transferred to the user's data cloud terminal. The RMS system enables comprehensive multi-physiological parameters analysis for auxiliary diagnosing and classifying diseases, including sleep apnea, rhinitis, and chronic lung diseases, as well as rehabilitation of COVID-19, and exhibits advantages of portable healthcare. © 2022 The Authors

9.
China Safety Science Journal ; 33(1):198-205, 2023.
Article in Chinese | Scopus | ID: covidwho-2249497

ABSTRACT

In order to improve the scientificity of site selection decision⁃making of emergency medical facilities for rural public health emergencies, based on the characteristics of public health emergencies with rapid spread and strong harmfulness of corona virus disease 2019(COVID-19), according to the design standards of emergency medical facilities, taking into account the characteristics of small rural medical budget and rugged emergency roads, firstly, six influencing factors of engineering geological conditions, unit cost, infection rate, arrival time, site scale and service coverage area of alternative sites of facilities were selected. The Entropy value method(EVM) method and analytic hierarchy process(AHP) method were effectively combined to determine the weight of influencing factors. Secondly, a multi⁃objective location model considering the minimum sum of the distance from patients to emergency medical facilities and the optimal comprehensive evaluation value of the selected emergency medical facilities was established. Then, an IPSO algorithm was designed to solve the model and get the location decision. Finally, some villages in Tianmen city were selected for empirical analysis to verify the effectiveness of the model algorithm. The results show that infection rate and unit cost are the main influencing factors for the construction of emergency medical facilities. IPSO algorithm selects three emergency medical facilities, which can meet the treatment needs of patients in eight villages, and ensure that patients can seek medical treatment within 4-7 minutes,providing guarantee for efficient epidemic prevention and control activities. © 2023 China Safety Science Journal. All rights reserved.

10.
International Journal of Biomathematics ; 2023.
Article in English | Scopus | ID: covidwho-2287598

ABSTRACT

The spread of infectious diseases often presents the emergent properties, which leads to more difficulties in prevention and treatment. In this paper, the SIR model with both delay and network is investigated to show the emergent properties of the infectious diseases' spread. The stability of the SIR model with a delay and two delay is analyzed to illustrate the effect of delay on the periodic outbreak of the epidemic. Then the stability conditions of Hopf bifurcation are derived by using central manifold to obtain the direction of bifurcation, which is vital for the generation of emergent behavior. Also, numerical simulation shows that the connection probability can affect the types of the spatio-temporal patterns, further induces the emergent properties. Finally, the emergent properties of COVID-19 are explained by the above results. © 2023 World Scientific Publishing Company.

11.
Prevention and Control of Infectious Diseases in BRI Countries ; : 1-188, 2021.
Article in English | Scopus | ID: covidwho-2287592

ABSTRACT

This book systematically assesses the risk of 21 major infectious diseases threatening BRI countries. It consists of 14 chapters. Chapter 1 is an overview. Chapter 2 introduces the history of health cooperation between China and other BRI countries. Chapters 3-14 introduce the prevalence of major infectious diseases threatening BRI countries such as cholera, vaccine preventable diseases (polio, measles, meningitis, Japanese encephalitis, diphtheria, hepatitis A), tuberculosis, influenza, and insect-borne diseases (Dengue fever, Zika virus disease, yellow fever, Chikungunya, Rift Valley fever), plague, malaria, Ebola virus disease, MERS, schistosomiasis, COVID-19 and AIDS, and risk factors, principles and cases of their prevention and control. It is a useful reference book in the research of infectious disease control and prevention, and provides historical experience and lessons learned. It also provides decision support for international cooperation among BRI countries in the field of epidemic prevention and control in the future. © People's Medical Publishing House, PR of China 2021, corrected publication 2021.

12.
Prevention and Control of Infectious Diseases in BRI Countries ; : v-vi, 2021.
Article in English | Scopus | ID: covidwho-2287591

ABSTRACT

COVID-19 has become the most serious public health emergency since World War II. Virus knows no borders, and epidemic knows no races. Thanks to our painstaking efforts, China has achieved positive results in its fight against the COVID-19 pandemic, effectively safeguarding people's lives and health. At the same time, China is actively engaged in bilateral and multilateral cooperation, unreservedly providing support and assistance to countries in need and sharing experience in prevention, control, and treatment. President Xi Jinping, through summit diplomacy and important events such as the 73rd World Health Assembly and G20 Extraordinary Virtual Leaders' Summit on COVID-19, actively advocates effective international joint prevention and control of COVID-19 and support for international organizations in their efforts. Under the leadership of the National Health Commission, China keeps in touch with countries and health organizations in Africa and Central and Eastern Europe, ASEAN EOC Network, and DG SANTE and frequently exchanges experiences on COVID-19 prevention and control through virtual conferences, which has delivered a positive signal to the world to build a community of common health for mankind, highlighting China's high attention to and support for global health security. © People's Medical Publishing House, PR of China 2021, corrected publication 2021.

13.
International Conference of The Efficiency and Performance Engineering Network, TEPEN 2022 ; 129 MMS:103-111, 2023.
Article in English | Scopus | ID: covidwho-2286215

ABSTRACT

Despite the COVID-19 pandemic, the global photovoltaic (PV) market grew significantly again in 2021, further enhancing the vital role of solar power in the battle against global climate change. One of the main reasons for the rapid growth of this market is that PV panels are almost maintenance-free after deployment, thereby low Levelized cost of solar power. However, this does not mean that PV panels will not fail in service. In fact, they may suffer from performance degradation, structural failure, or even complete loss of power generation capacity during operation. If these problems cannot be detected and solved in time, they may also bring significant economic losses to the operators. However, a large-scale solar power plant will contain hundreds of thousands of PV panels. How to quickly identify those defective ones from so many PV panels is a quite challenging issue. The research of this paper is to address this issue with the aid of intelligent image processing technology. In this study, an intelligent PV panel condition monitoring technique is developed using machine learning algorithms. It can rapidly process, analyze and classify the thermal images of PV panels collected from solar power plants. Therefore, it not only can quickly identify those defective PV panels but also can accurately diagnose the defect types of the PV panels. It is deemed that the successful development of such a technology will be of great significance to further strengthen the scientific management of solar power assets. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

14.
28th International Conference on Artificial Life and Robotics, ICAROB 2023 ; : 126-130, 2023.
Article in English | Scopus | ID: covidwho-2284150

ABSTRACT

According to the World Health Organization, COVID-19 has killed 14.9 million people worldwide by 2021. According to statistics from the World Obesity Alliance, if the domestic obese population exceeds 50% (three high diseases), the country's COVID-19 mortality rate will be 10 times higher. There seems to be a close relationship between obesity and the risk of hospitalization and treatment. In this study, the electronic biological information detector was used to collect the response values of the body cells of adults in Taiwan. Through the comparison and analysis of big data, the functional status of each organ system in the human body was calculated and compared with the body composition index. It was found that there is a high correlation between the two. The results of this study may provide feasibility of different health risk assessments. © The 2023 International Conference on Artificial Life and Robotics (ICAROB2023).

15.
9th International Forum on Digital Multimedia Communication, IFTC 2022 ; 1766 CCIS:465-477, 2023.
Article in English | Scopus | ID: covidwho-2281133

ABSTRACT

The COVID-19 epidemic continues to have a negative impact on the economy and public health. There is a correlation between certain limits (meteorological factors and air pollution statistics) and verified fatal instances of Corona Virus Disease 2019 (COVID-19), according to several researchers. It has not yet been determined how these elements affect COVID-19. Using air pollution data and meteorological data from 15 cities in India from 2020 to 2022, Convergent Cross Mapping (CCM) is utilized to set up the causal link with new confirmed and fatal cases of COVID-19 in this study. Our experimental results show that the causal order of the factors influencing the diagnosis of COVID-19 is: humidity, PM25, temperature, CO, NO2, O3, PM10. In contrast to other parameters, temperature, PM25, and humidity are more causally associated with COVID-19, while data on air pollution are less causally related to the number of new COVID-19 cases. The causal order of the factors affecting the new death toll is as follows: temperature, PM25, humidity, O3, CO, PM10, NO2. The causality of temperature with new COVID-19 fatalities in India was higher than the causation of humidity with new COVID-19 deaths, and O3 also showed higher causality with it. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

16.
Bioact Mater ; 23:438-470, 2023.
Article in English | PubMed | ID: covidwho-2246536

ABSTRACT

The approved worldwide use of two messenger RNA (mRNA) vaccines (BNT162b2 and mRNA-1273) in late 2020 has proven the remarkable success of mRNA therapeutics together with lipid nanoformulation technology in protecting people against coronaviruses during COVID-19 pandemic. This unprecedented and exciting dual strategy with nanoformulations and mRNA therapeutics in play is believed to be a promising paradigm in targeted cancer immunotherapy in future. Recent advances in nanoformulation technologies play a prominent role in adapting mRNA platform in cancer treatment. In this review, we introduce the biologic principles and advancements of mRNA technology, and chemistry fundamentals of intriguing mRNA delivery nanoformulations. We discuss the latest promising nano-mRNA therapeutics for enhanced cancer immunotherapy by modulation of targeted specific subtypes of immune cells, such as dendritic cells (DCs) at peripheral lymphoid organs for initiating mRNA cancer vaccine-mediated antigen specific immunotherapy, and DCs, natural killer (NK) cells, cytotoxic T cells, or multiple immunosuppressive immune cells at tumor microenvironment (TME) for reversing immune evasion. We highlight the clinical progress of advanced nano-mRNA therapeutics in targeted cancer therapy and provide our perspectives on future directions of this transformative integrated technology toward clinical implementation.

17.
Acta Psychologica Sinica ; 55(2):192-209, 2023.
Article in English | Scopus | ID: covidwho-2246229

ABSTRACT

In our complex social environments, life situations are ever-changing. When dealing with these changes, there is no one-size-fits-all response or regulatory strategy suitable for all situations. Emotion regulation flexibility (ERF)—a framework for understanding individual differences in adaptive responding to ever-changing life contexts—emphasizes that individuals can flexibly deploy and adjust emotion regulation strategies according to specific characteristics of stressful situations in daily life. To achieve regulatory efficacy, it is important that one can utilize a balanced profile of ER strategies and select strategies that fit well with particular stressful situations. Specifically, using multiple ER strategies in daily life, rather than relying on only single-strategies, would indicate higher ERF. Additionally, based on leading models of strategy-situation fit, certain ER strategies are more appropriate for high versus low intensity stressful events. For instance, distraction involves with shielding oneself from negative stimuli and replacing them with irrelevant things, which may have a greater regulatory effect in high-intensity negative situations. Conversely, strategies such as reappraisal, which involves the processing of negative situations through deep cognitive change, may be more effective in lower-intensity negative situations and as a cornerstone of longer-term ER. We used the experience-sampling method (ESM) to quantify individual's ERF;more specifically we assess participants for 1) having more or less balanced ER strategy profiles and 2) showing greater strategy-situation fit, in regard to the use of distraction versus reappraisal in the regulation of high-intensity versus low-intensity negative life events. To test the adaptive value of ERF on negative emotions and mental health, we investigated the influence of ERF on depressive and anxiety symptoms in two samples. We hypothesized that individuals with a more balanced profile of ER strategy use and a great level of strategy-situation fit would have higher levels of mental health, indicated by low levels of anxiety and depressive feelings. In sample 1, two hundred eight college students finished the ESM procedure (2859 beeps). Intensity of negative situations was measured by self-reported negative feelings for the time points where participants reported an adverse event. Simultaneously, we assessed participants' use of two ER strategies (i.e., distraction and reappraisal). Considering the negative impact of COVID-19 on people's daily life, we collected another sample (sample 2, 3462 beeps) with one hundred people who lived in Hubei Province, where Wuhan was in lockdown during the severe phase of COVID-19 (March 7-13, 2020). We measured intensity of negative situations (by averaging individuals' negative feelings), as well as the use of two ER strategies at corresponding time points. After completing the ESM procedure, the participants were asked to fill out a series of emotional health questionnaires, including Beck Depression Inventory-II, Beck Anxiety Inventory and Spielberger State Anxiety Scale. Multilevel models were used to fit the covariation between the use of distraction versus reappraisal ER strategies and the intensity of negative events. Additionally, we used multiple level regression models to test whether high level of strategy-situation fit would result in lower negative feelings. To test whether a single-strategy preference would lead to higher levels of anxiety and depressive feelings compared to a multiple-strategy preference, latent profile analyses (LPA) was used. Results from the LPA indicated that individuals with preferences for rumination and express suppression reported higher levels depression and anxiety than individuals with a multi-strategy preference. In the multilevel models, results of the two independent samples both suggested individuals who were more inclined to use a higher level of distraction in response to high-intensity negative situations (e.g., adverse events or during COVID-19) and use hi her levels of reappraisal during low-intensity situations (i.e., high level of ERF) reported lower levels of anxiety and depressive feelings. On the converse, individuals who tended to use more distraction in low intensity situations and more reappraisal in high intensity situations, (i.e., those showing lower ERF) reported a higher level of negative feelings. Together, our findings revealed a negative relationship between ERF and mental health problems in two samples, suggesting that having balanced ER profiles and flexibly deploying strategies in specific life contexts may have adaptive value in facilitating positive mental health. This work deepens our understanding of the interaction between ER strategies and situational demands, paving the way for future intervention research to help alleviate negative emotions associated with affective disorders or the experience of major traumatic events (such as epidemics, earthquakes, etc.). © The Authors.

18.
Arabian Journal of Chemistry ; 16(3), 2023.
Article in English | Scopus | ID: covidwho-2241559

ABSTRACT

Xuebijing (XBJ) Injection is a reputable patent Chinese medicine widely used to cure sepsis, among the Chinese ″Three Medicines and Three Prescriptions″ solution to fight against COVID-19. We were aimed to achieve the comprehensive multicomponent characterization from the single drugs to traditional Chinese medicine (TCM) formula, by integrating powerful data acquisition and the in-house MS2 spectral database searching. By ultra-high performance liquid chromatography/ion mobility-quadrupole time-of-flight mass spectrometry (UHPLC/IM-QTOF-MS), a hybrid scan approach (HDMSE-HDDDA) was developed, while the HDMSE data for five component drugs and 56 reference compounds were acquired and processed to establish an in-house MS2 spectral database of XBJ. Good resolution of the XBJ components was accomplished on a Zorbax Eclipse Plus C18 column within 24 min, while a fit-for-purpose HDMSE-HDDDA approach was elaborated in two ionization modes for enhanced MS2 data acquisition. XBJ MS2 spectral library was thus established on the UNIFITM platform involving rich structure-related information for the chemicals from five component drugs. We could identify or tentatively characterize 294 components from XBJ, involving 81 flavonoids, 51 terpenoids, 42 phthalides, 40 organic acids, 13 phenylpropanoids, seven phenanthrenequinones, six alkaloids, and 54 others. In contrast to the application of conventional MS1 library, this newly established strategy could demonstrate superiority in the accuracy of identification results and the characterization of isomers, due to the more restricted filtering/matching criteria. Conclusively, the integration of the HDMSE-HDDDA hybrid scan approach and the in-house MS2 spectral database can favor the efficient and more reliable multicomponent characterization from single drugs to the TCM formula. © 2022 The Author(s)

19.
International Journal of Financial Engineering ; 09(04), 2022.
Article in English | Web of Science | ID: covidwho-2194053

ABSTRACT

In this paper, we measure the risk interdependence of 12 major cryptocurrencies before and during the COVID-19 pandemic, based on a GARCH-Copula-VaR approach and a dynamic network analysis. We find that cryptocurrencies generally show high levels of volatility, speculation, homogeneity and tail risk contagion. Furthermore, the COVID-19 pandemic has a continuous impact on the cryptocurrency market. When financial institutions are increasingly investing in crypto assets, the hidden risks in the cryptocurrency market remain high. Therefore, this paper calls for attention on the cryptocurrency market from both investors and regulators.

20.
2022 International Conference on Biomedical and Intelligent Systems, IC-BIS 2022 ; 12458, 2022.
Article in English | Scopus | ID: covidwho-2193339

ABSTRACT

Wearing masks has been generally recommended to reduce the spreading of COVID-19. However, little is known about its effects on metabolic VOC changes in human body. To explore how the duration of wearing masks influences VOC metabolism in the human body, the essay used a self-developed electronic nose to analyse exhaled breath samples from 10 healthy individuals in this study. Firstly, polytetrafluoroethylene sampling bags are used to collect breath samples after volunteers wearing masks for 1h, 2h, 3h, 4h, and 5h. Secondly, data pre-processing, including baseline calibration and normalization are carried out. Thirdly, the study used LDA for dimensionality reduction on the original data to extract 4 features. Fourthly, differences in the length of time of wearing masks are analysed. Then, 4 algorithms were applied for cluster analysis based on extracted features. Moreover, 3 supervised classification algorithms were used to recognize the duration of wearing masks. Finally, multi-dimensional linear regression is used to study the possibility of predicting the duration of wearing masks based on breath signals acquired through electronic noses. As a result, the first feature extracted by LDA significantly differs from each other in the duration of wearing masks (p<0.05). Cluster analysis results show that the optimal internal parameters Adjusted Rand Index, Adjusted Mutual Information, Homogeneity and V-measure reach 80.2%, 81.5%, 83.5% and 83.7% respectively. Using 5-fold cross-validation on the K nearest neighbour classification model, the best accuracy of recognizing durations of wearing a mask reaches 88%. R-square of multi-dimensional linear regression reaches 92.5%, which shows excellent fitting performance. It can be concluded that the VOC metabolism of the human may change with the duration of wearing masks. Further, "breath prints” obtained by electronic nose may have the potential to predict the effective time and even the quality of masks. © 2022 SPIE.

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