Could Cryptocurrency Policy Uncertainty Facilitate US Carbon Neutrality?

Investigating the essential impact of the cryptocurrency market on carbon emissions is significant for the U.S. to realize carbon neutrality. This exploration employs low-frequency vector auto-regression (LF-VAR) and mixed-frequency VAR (MF-VAR) models to capture the complicated interrelationship between cryptocurrency policy uncertainty (CPU) and carbon emission (CE) and to answer the question of whether cryptocurrency policy uncertainty could facilitate U.S. carbon neutrality. By comparison, the MF-VAR model possesses a higher explanatory power than the LF-VAR model;the former's impulse response indicates a negative CPU effect on CE, suggesting that cryptocurrency policy uncertainty is a promoter for the U.S. to realize the goal of carbon neutrality. In turn, CE positively impacts CPU, revealing that mass carbon emissions would raise public and national concerns about the environmental damages caused by cryptocurrency transactions and mining. Furthermore, CPU also has a mediation effect on CE;that is, CPU could affect CE through the oil price (OP). In the context of a more uncertain cryptocurrency market, valuable insights for the U.S. could be offered to realize carbon neutrality by reducing the traditional energy consumption and carbon emissions of cryptocurrency trading and mining.

Silicon photonic chip-based biosensor for COVID-19 and flu detection with high sensitivity and specificity

Since the end of 2021, Omicron, the new variant of SARS-CoV-2, has continued to spread as the predominant strain of COVID-19. Compared to previous variants, Omicron causes milder symptoms, which are similar to symptoms of other common respiratory infections, such as flu. In this work, we develop a silicon photonic chip-based biosensor for COVID-19 and flu detection using subwavelength grating micro-ring resonator. The biosensor realizes the detection of two pathogens with high sensitivity (1.31 fg/mL) and specificity. Besides, the microfluidic channel offers a promising solution for point-of-care detection. © 2023 SPIE.

Comparison of the Effectiveness of Different Covid-19 Vaccines among Plwh

Background: Previous studies have demonstrated promising serologic responses in PLWH receiving a third dose of vaccine against SARS-CoV-2. However, real-world clinical effectiveness, especially during the pandemic caused by B.1.1.529 variant, remains less investigated. Method(s): PLWH seeking HIV care at our hospital from 2021/6 to 2022/6 were included and advised to receive the third dose of COVID-19 vaccine. Individuals were excluded from this study if they had been previously diagnosed with COVID-19. Different types of COVID-19 vaccines were available in the vaccination program, including BNT162b2, mRNA-1273 (either 50 or 100 mug), MVC-COV1901 and NVX-CoV2373 vaccines. PLWH were screening for the occurrence of COVID-19 through the reporting system of notifiable diseases of Taiwan CDC, and were tested for anti-nucleocapsid (anti-N) IgG every 1 to 3 months. Participants were followed for 180 days until the fourth dose of COVID-19 vaccination, occurrence of SARS-CoV-2 infection, seroconversion of anti-N IgG, death, or loss to follow-up, whichever occurred first. Result(s): 1,496 PLWH were included: 631 (42.2%) receiving 100 mug mRNA-1273 vaccine, 468 (31.3%) 50 mug mRNA-1273 vaccine, and 328 (21.9%) BNT162b2 vaccine, 65 (4.3%) MVC-COV1901 vaccine, and 4 (0.3%) NVX-CoV2373 vaccine for the third dose of SARS-CoV-2 vaccination. 297 (19.9%) PLWH were diagnosed with COVID-19 during the follow-up period, including 92 (14.6%) who received 100 mug mRNA-1273, 111 (23.7%) 50 mug mRNA-1273, 79 (24.1%) BNT162b2 and 15 (21.7%) either MVC-COV1901 or NVX-CoV2373;in addition, 98 PLWH had seroconversion of anti-N IgG during follow-up, including 23, 50, 19 and 6 PLWH who received 100 mug mRNA-1273, 50 mug mRNA-1273, BNT162b2, and either MVC-COV1901 or NVX-CoV2373, respectively. Similar rates of new infection with SARS-CoV-2 or seroconversion of anti-N IgG were demonstrated regardless the vaccine type of the third dose (log-rank test, p=0.46). Factors associated with a diagnosis of SARS-CoV-2 infection and seroconversion of anti-N IgG included an age >50 years (aOR, 0.67;95% CI, 0.49-0.91) and newly infected with hepatitis C virus (HCV) (aOR, 1.41;95% CI, 1.09-1.83). Conclusion(s): Our study demonstrated that clinical effectiveness of the third dose of different vaccines available to PLWH was similar in preventing SARSCoV- 2 infection or seroconversion of anti-N IgG Taiwan. PLWH aged less than 50 years and those with newly diagnosed HCV infection were at higher risk of acquiring COVID-19. Kaplan-Meier survival curve for acquiring COVID-19 or seroconversion of anti-N IgG in PLWH receiving different COVID-19 vaccination of the third dose (log-rank test, 4 groups, p = 0.46).

Effects of mask-wearing on treadmill exercise test

Background: Concerning about the spread of COVID-19, World Health Organization recommends wearing facemasks to minimize viral transmission. Patients are required to wear facemasks while conducting treadmill exercise tests in hospitals. The effects of mask-wearing on the results of stress exercise testing remain uncertain. Purpose(s): This study aims to assess the impact of mask-wearing on the physiological parameters during treadmill exercise testing. Method(s): Patients who underwent treadmill exercise test using the Bruce protocol for the diagnosis of ischemic heart disease were retrospectively examined between 2020 and 2021. A propensity score matching was performed to adjust the baseline characteristics of patients with and without mask. Blood pressure, heart rate, exercise duration, and the interpretation of stress test were compared. The ischemic ST-segment response was defined as flat or downsloping depression of the ST seg-ment >0.1 mV below baseline and lasting longer than 0.08 second. Nondiagnostic result of treadmill exercise test was defined as absence of ischemic ST-segment response in which the 90% of maximal predicted heart rate for age and sex was not achieved. Result(s): Following 1:1 propensity score matching, a total of 3,996 patients were enrolled for analysis, including 1,998 patients who performed treadmill exercise testing with masks, and 1,998 without masks. Baseline characteristics were similar between the two groups (mean age, 56.1+/-12.1 years;38.7% female;mean body mass index, 25.5+/-3.9 kg/m2). At baseline, patients with masks had significantly higher heart rate (84.8+/-14.7 bpm vs. 82.5+/-14.0 bpm;p<0.001) and lower systolic blood pressure (130.4+/-19.0 mmHg vs. 132.4+/-18.7 mmHg;p=0.001) than those without masks. Patients with masks conducted significantly shorter duration of exercise (435+/-128 seconds vs. 481+/-133 seconds;p<0.001), achieved significantly lower measurement of peak heart rate (149.5+/-17.1 bpm vs. 152.7+/-17.0 bpm;p<0.001), and had significantly lower rate-pressure products (26,366+/-5,207 mmHg bpm vs. 27,629+/-5,242 mmHg*bpm;p<0.001) than those without masks. The proportion of patients who were unable to complete stage II of the Bruce protocol was significantly higher among patients with masks (15.1% vs. 9.0%;p<0.001). The proportion of nondiagnostic result was significantly higher among patients with mask (12.2% vs. 8.8%;p<0.001), whereas the proportion of positive ischemic STsegment response rate was significantly higher among patients without mask (28.1% vs. 23.3%;p=0.001). Conclusion(s): Our study demonstrated that performing treadmill exercise test with mask could significantly decrease the duration of exercise, reduce the maximal achieved heart rate, decease the rate-pressure product, and thus reduce the diagnostic power of treadmill exercise testing.

Dynamical linkages between the Brent oil price and stock markets in BRICS using quantile connectedness approach

The Quantile connectedness approach, which allows for a detailed scrutinization of the connectedness, to analysis the connectedness for oil price and BRICS stock markets. Russia and South Africa plays the net transmitting roles, and similar evidence is obtained in Brazil after 2010. Brent oil, India, and Shanghai are net recipients for most time. The extent of the connectedness is further stronger when facing up the market slump such as the global financial crisis, European debt crisis, and Covid-19 periods. For investors, practitioners, and financial institutions, periodically changing the assets allocating can follow noted above evidence. © 2023 Elsevier Inc.

Effectiveness assessment of patient-centered measures for chronic disease management during COVID-19 epidemic

Purpose The disruption of routine treatment, including the interruption of medication, might be deteriorating chronic conditions during disasters such as the COVID-19 epidemic. This study aims to assess the effectiveness of patient-centered measures for patients with chronic diseases during the COVID-19 epidemic. Method This was a cross-sectional study to analyze the effectiveness of chronic disease prescriptions issued by hospital-based clinicians, prescription refilling rate, the utilization rate of reservation for picking-up medicine, and the rate of returning to the hospital for refilling prescriptions as scheduled at a tertiary care hospital in Taiwan by using chi-square test. The enrolled outpatients received managed care from January to June of 2019 and 2020. The SAS (v8.2) statistical software was used for analysis. Results The percentage of chronic disease prescriptions issued by physicians out of a total number of outpatient visits increased to 66.0% significantly, and the rate of patients who returned to the hospital to refill chronic disease prescriptions decreased to 52.4%. The utilization rate of reservation service for prescription refills increased significantly from 3.9% to 10.5%. There is a significant difference in age groups and specialties visited by patients who made prescription refill reservations. The top five specialties are cardiovascular medicine, metabolic diseases, and endocrinology, neurology, urology, orthopedics, and rehabilitation. The specialties with the highest increase in reservation rate are psychiatry, gastroenterology, gynecology and pediatrics, and rheumatology. Discussion Most of the chronic disease continuous prescription users are the elderly, but the elderly are at high risk of severe COVID-19. Adopted patient-centered measures for preparedness to go out with medication such as outdoor drug dispensing counters, walk or drive-through pharmacies and online reservations for prescription refilling were effective, which can help elderly with the stable chronic disease obtain medication on schedule and reduce the risk of coronavirus exposure. National Health Insurance Administration should add the prescription refilling records to health insurance cards for further evaluating medicine adherence when prescriptions are revised. © 2022, Gerontechnology. All Rights Reserved.

Effects of Antecedent Precipitation Amount and COVID-19 Lockdown on Water Quality along an Urban Gradient

Water quality is affected by multiple spatial and temporal factors, including the surrounding land characteristics, human activities, and antecedent precipitation amounts. However, identifying the relationships between water quality and spatially and temporally varying environmental variables with a machine learning technique in a heterogeneous urban landscape has been understudied. We explore how seasonal and variable precipitation amounts and other small-scale landscape variables affect E. coli, total suspended solids (TSS), nitrogen-nitrate, orthophosphate, lead, and zinc concentrations in Portland, Oregon, USA. Mann-Whitney tests were used to detect differences in water quality between seasons and COVID-19 periods. Spearman's rank correlation analysis was used to identify the relationship between water quality and explanatory variables. A Random Forest (RF) model was used to predict water quality using antecedent precipitation amounts and landscape variables as inputs. The performance of RF was compared with that of ordinary least squares (OLS). Mann-Whitney tests identified statistically significant differences in all pollutant concentrations (except TSS) between the wet and dry seasons. Nitrate was the only pollutant to display statistically significant reductions in median concentrations (from 1.5 mg/L to 1.04 mg/L) during the COVID-19 lockdown period, likely associated with reduced traffic volumes. Spearman's correlation analysis identified the highest correlation coefficients between one-day precipitation amounts and E. coli, lead, zinc, and TSS concentrations. Road length is positively associated with E. coli and zinc. The Random Forest (RF) model best predicts orthophosphate concentrations (R-2 = 0.58), followed by TSS (R-2 = 0.54) and nitrate (R-2 = 0.46). E. coli was the most difficult to model and had the highest RMSE, MAE, and MAPE values. Overall, the Random Forest model outperformed OLS, as evaluated by RMSE, MAE, MAPE, and R-2. The Random Forest was an effective approach to modeling pollutant concentrations using both categorical seasonal and COVID data along with continuous rain and landscape variables to predict water quality in urban streams. Implementing optimization techniques can further improve the model's performance and allow researchers to use a machine learning approach for water quality modeling.

Airborne migration behaviour of SARS-CoV-2 coupled with varied air distribution systems in a ventilated space

Air distribution system could critically affect SARS-CoV-2 transmission in indoor space;therefore, this study aims at demonstrating numerical characteristics of SARS-CoV-2 migration with varied air distribution system configurations. Seven cases were investigated regarding three major aspects: how fast suspended particles can be removed from the ventilated space or changed into deposited particles;how much particles are attached to various object surfaces which leads to an infection by touching fomite. All cases were analyzed through computational fluid dynamics (CFD). Both different shapes (round or linear diffusers) and installation locations (ceiling or floor) of inlet and outlet diffusers were investigated. Results showed that different air distribution system would lead to different dispersion profiles of infectious particles and different deposition pattern of particles on interior surfaces. With the same air flow rate, linear-diffuser would perform better for CO2 extraction while requiring less time to remove or collide the same magnitude of suspended droplets compared to round-diffuser. However, how quickly removed or suspended droplets collide is not proportional to how less the number of total particles are remained. Two additional cases with double sized space possessing best ventilation configuration were also examined to explore potential application of the best-ventilated configuration to various spatial expansion cases.

A Matched-Group Comparison of Interventions for COVID-19 During the First and Second Waves of the COVID-19 Pandemic in a County Hospital in Chicago

Background. The COVID-19 pandemic continually challenges the scientific community to develop and evaluate viable treatments. In May 2020, remdesivir became the first medication to receive emergency use authorization for the treatment of COVID-19, while dexamethasone became standard of care for patients requiring supplementary oxygen in late 2020. Methods. This was a retrospective observational study of hospitalized adult patients with confirmed coronavirus disease 2019 (COVID-19) admitted in the first wave (3/2020-7/2020) and second wave (10/2020-1/2021) at Cook County Hospital. Variables on demographic, clinical data and outcomes were extracted from the EMR. The measured intervention was use of dexamethasone with remdesivir during the second wave;patients were matched by age and diabetic status to patients in the first wave who had received only remdesivir. The primary outcome was mortality;secondary outcomes were ICU admission and intubation. Conditional logistic regression was used to examine associations between use of dexamethasone and each outcome, controlling for glucose levels, use of remdesivir and severity of disease. Results. 621 patients were admitted in the first wave (3/2020-7/2020) versus 355 in the second wave (12/2020-1/2021). Median age was 55 years and 56 years, respectively. Most patients were Hispanic and Black. In the first wave, 296 patients (48%) were admitted with severe COVID-19 (defined as oxygen saturation on room air at or below 94%) versus 163 patients (46%) in the second wave. Logistic regression showed no association between use of dexamethasone and ICU admission, mortality or intubation. Use of remdesivir showed no association with any of the outcomes. Glucose and severe/critical disease were strongly associated with ICU admission (p=0.01 and p=0.003) and mortality (p=0.06 for both). Conclusion. Despite promising medications, in this study the mortality and disease severity of COVID-19 was very similar to that seen in the first wave. This could be due to patients presenting with more advanced disease and undiagnosed or poorlycontrolled comorbidities that may offset the potential benefit of these treatments. Enhancing access to care and decreasing health inequalities may be more worthwhile than finding a 'miracle drug'.

Impact of coronavirus disease 2019 on the HIV testing and health care delivery at a university hospital in Taiwan, 2020-2021

Background: To contain the coronavirus disease 2019 (Covid-19) pandemic, non-pharmacologic interventions, including lockdown and social distancing, may have adverse impact on access to HIV testing and care. This study investigated the impact of Covid-19 on HIV testing and care at a major hospital in Taiwan in 2020-2021. Method(s): The numbers of clients seeking anonymous HIV voluntary counseling and testing were compared 2 years before (2018-2019) and 2 years after Covid-19 outbreak (2020-2021). People living with HIV (PLWH) who sought care at the hospital during 2018-2021 were included to examine the status of HIV care delivery and disposition. Result(s): The annual number of HIV screening tests performed had significantly decreased from 2507 to 2794 in 2018 and 2019, respectively, to 2161 and 1737 in 2020 and 2021, respectively. The rate of discontinuation of HIV care among PLWH was 3.7% in 2019, which remained unchanged in 2020 (3.7%) and 2021 (3.8%). The respective percentage of annual plasma HIV RNA testing <2 times increased from 8.4% to 7.8% in 2018 and 2019 to 7.0% and 10.7% in 2020 and 2021, so was that of annual syphilis testing <2 times (10.1% and 8.8%-7.9% and 12.0%). The rates of plasma HIV RNA <200 copies/ml ranged from 97.0% to 98.1% in 2018-2021. Conclusion(s): During the Covid-19 pandemic, access to HIV counseling and testing was significantly limited. While the number of HIV-related testing decreased, the impact of Covid-19 on the continuity of antiretroviral therapy and viral suppression among PLWH appeared to be minimal in Taiwan. Copyright © 2022

Activity and environmental sensor application: Tonometry aided arrhythmia detection system

Early stage arrhythmia detection is very important to prevent progress. However, under COVID-19 hospital accessibility deeply decreased and the risk of arrhythmia raised. Thus, we attached our activity sensor and environmental sensor attached to commercial tonometry system: Daeyomedi lifeplus. Tonometry system is one of the most accurate cardiovascular diseases detection system but it is very hard to make it portable. Photoplethysmogram sensors are less accurate than tonometry system but they are very small and can fit into the watch size. Environmental sensors are collecting additional data, temperature, humidity, carbon dioxide level, micro dust and Volatile Organic Compounds. Our IoT sever system collects all data from DMP lifeplus, activity sensor and environmental sensor. Processing data with implemented algorithms for service was developed as well. We successfully attached DMP lifeplus to our activity and environmental sensor. This work shows that our activity and environmental sensors can be attached to other medical system and enlarge the medical service area. © 2022 IEEE.

[Diagnostic value of rapid antigen testing for the detection of SARS-CoV-2 infection].

Objective: To investigate the diagnostic value of rapid antigen test based on colloidal gold immunochromatographic assay for the detection of SARS-CoV-2 infection in symptomatic patients. Methods: From May 20 to June 5 2022, 76 hospitalized children and their 55 accompanying family members with confirmed SARS-CoV-2 infection in the COVID-19 isolation unit of the Children's Hospital of Fudan University (designated referral hospital for SARS-CoV-2 infection in Shanghai) enrolled. Their nasopharyngeal swab specimens were consecutively collected. The samples were tested for SARS-CoV-2 nucleic acid by real-time quantitative. SARS-CoV-2 antigen was tested by immunochromatography. The correlation between the antigen detection results and the change of the cycle threshold (Ct) values were evaluated, as well as the sensitivity and specificity of SARS-CoV-2 antigen detection at different periods after the onset of the disease. Kappa consistency test was conducted to investigate the consistency between the 2 diagnostic methods. Results: Of the enrolled SARS-CoV-2 symptomatic infections, 76 were children, including 41 males and 35 females, with an age of 5 (2, 9) years; 55 were accompanying families, including 8 males and 47 females, with an age of 38 (32, 41) years. All 478 samples were simultaneously tested for SARS-CoV-2 antigen and nucleic acid. In any period from disease onset to negative conversion of viral nucleic acid, the overall sensitivity of the rapid antigen test was 48.2% (119/247), the specificity was 98.3% (227/231), and antigen test and nucleic acid test showed moderate consistency (κ=0.46, P<0.05). The sensitivity of antigen test was 100% (82/82) when the Ct value was ≤25. And the sensitivity of antigen test was 8/10, 4/15 and 8.3% (3/36) when the Ct value was 26, 30 and 35, respectively. All antigen tests were negative when Ct value was >35. During the period of 1-2 days, 3-5 days, 6-7 days, 8-10 days and >10 days after onset, the sensitivity and specificity of SARS-CoV-2 antigen test were 5/8 and 5/5, 90.2% (37/41) and 5/5, 88.9% (24/27) and 2/5, 45.0% (36/80) and 94.1% (32/34), 18.7% (17/91) and 98.9% (183/185) respectively. The Ct values of nasopharyngeal swabs were<26 during 2 to 7 days after onset, 28.7±5.0 on day 8, 34.5±2.9 on day 13 and > 35 after 14 days, respectively. Conclusion: SARS-CoV-2 antigen test in the patients with SARS-CoV-2 infection shows acceptable sensitivity and specificity within 7 days after onset of disease, and the sensitivity was positively correlated with viral load and negatively correlated with onset time.

COVID-19 Public Health Strategy Implementation for the Hospitality Industry in Taiwan

This study attempts to explore the public health strategies that hotels in Taiwan have applied during the covid-19 pandemic crisis. This empirical study develops a list of public health strategy practices from a pilot study using in-depth interviews, followed by a questionnaire survey. The research samples are 4-star and 5-star hotels in Taiwan, which are the most popular hotel choices for domestic and international travellers. Out of 127 hotels, 76 hotel owners, general managers, or executive managers participated in the survey. The findings illustrate the frequency of public health strategies that hotels have used during the coronavirus crisis. It shows that the most popular strategy is strengthening hygiene and cleanliness in hotel operations to offer reassuring lodging services and accommodation products. The results also show there is no significance difference in implementation of the various public health practices regarding hotel location, nationality ofmain customers, hotel performance, annual f&b revenue, or annual room sales. This study suggests hotels implement public health strategies to limit the spread of disease, regain customers' trust and promote the hotel during and after the covid-19 pandemic. The paper concludes with recommendations for crisis management and crisis preparation for the hospitality industry. © 2022 University of Primorska. All rights reserved.

NONLINEAR DEPENDENCE BETWEEN ECONOMIC POLICY UNCERTAINTY AND FDI INFLOWS IN CHINA

Foreign direct investment (FDI) is the most reliable form of international capital flows, and it may be notably prone to increased uncertainty because of its high fixed costs. In this paper, we use the rolling window causality and the quantile-based Granger causality method to investigate the nonlinear dependence between economic policy uncertainty (EPU) and foreign direct investment (FDI) inflows in China for the period between 1999:M06 to 2021:M12. The empirical findings of the study show that EPU exerts a negative impact on FDI inflows during the majority of the time periods that have been studied. However, during the U.S subprime crisis in US, the effect was positive. That is, it can be inferred that the FDI inflows are not always hampered by the Chinese government's economic policy uncertainty. We enlarged our study with the quantile-based Granger causality method to assess robustness. In view of the recent dynamic economic condition and COVID-19 pandemic, the results suggest China's government should focus on more openness and improving its domestic business environment to enhance foreign investors' trust and avoid a possible drop-off in FDI inflows. © 2022, Bucharest University of Economic Studies. All rights reserved.

Household Structure Projection: A Monte-Carlo based Approach

The kernel of an agent based simulation system for spreading of infectious disease needs a so called household structure (HSD) of the area being simulated which contains a list of households with the age of each member in the household being recorded. Such a household structure is available in a Census that is usually released every 10 years. Previous researches have shown the changing of the household structure has a great impact on disease spreading patterns. It is observed that the changing of the household structure e.g., the average citizen ages and household size, is at a faster speed. However, serious infectious diseases, such as SARS (year 2002), H1N1 (year 2009) and COVID-19 (year 2019), occur with a higher frequency now than previous eras. For example, it would be bad to use HSD2010 built using Census 2010 to simulate COVID-19. In view of this situation, we need a better way to obtain a good household structure in between the Census years in order for an agent-based simulation system to be effective. Note that though a detailed Census is not available every year, aggregated information such as the number of households with a particular size, and the number of people of a particular age are usually available almost monthly. Given HSDx, the household structure for year x, and the aggregated information from year y where y > x, we propose a Monte-Carlo based approach "patching" HSDx to get an approximated HSDy. To validate our algorithm, we pick x and y - x + 10 which both Censuses are available and find out the root-mean-square error (RMSE) between Census's HSDy and generated HSDy is fairly small for x = 1990 and 2000. The spreading patterns obtained by our simulation system have good matches. We hence obtain HSD2020 to be used in your system for studying the spreading of COVID-19.