Key Elements Affecting the Library's CFU Concentration in Taiwan

Public libraries are popular gathering places, so understanding the factors that contribute to colony-forming unit (CFU) concentrations and how to minimize them is essential. This study aimed to investigate the factors that affect CFU concentrations in a public library, using air sampling (Bioluminescent ATP-assay) and statistical analysis software (SPSS) to collect and analyze data. The findings indicated that the CFU concentration in the library was significantly influenced by the air quality surrounding the building, the number of library visitors, and the hygiene and health of both visitors and employees. Additionally, indoor temperature and humidity were found to be key factors affecting CFU concentration. These findings suggest the need for better ventilation and air filtration systems, as well as regular cleaning and disinfection in public libraries. Furthermore, research is recommended to investigate other potential factors that may impact indoor air quality in public spaces.

GMI, a fungal immunomodulatory protein, ameliorates SARS-CoV-2 envelope protein-induced inflammation in macrophages via inhibition of MAPK pathway

Clinically, COVID-19 is often accompanied by a severe immune response (cytokine storm) which produces a large number of cytokines, such as TNF-α, IL-6 and IL-12, and consequently causes acute respiratory distress syndrome (ARDS). GMI is a type of fungal immunomodulatory protein that is cloned from Ganoderma microsporum and acts as modulating immunocyte for various inflammatory diseases. This study identifies GMI as a potential anti-inflammatory agent and determines the effects of GMI on the inhibition of SARS-CoV-2-induced cytokine secretion. Functional studies showed that SARS-CoV-2 envelop (E) protein induces inflammatory process in murine macrophages RAW264.7 and MH-S cells and in phorbol 12-myristate 13-acetate (PMA)-stimulated human THP-1 cells. GMI exhibits a strong inhibitory effect for SARS-CoV-2-E-induced pro-inflammatory mediators, including NO, TNF-α, IL-6, and IL-12 in macrophages. GMI reduces SARS-CoV-2-E-induced intracellular inflammatory molecules, such as iNOS and COX-2, and inhibits SARS-CoV-2-E-stimulated phosphorylation of ERK1/2 and P38. GMI also downregulates pro-inflammatory cytokine levels in lung tissue and serum after the mice inhale SARS-CoV-2-E protein. In conclusion, this study shows that GMI acts as an agent to alleviate SARS-CoV-2-E-induced inflammation.

Collaborative Filtering Model of Graph Neural Network Based on Random Walk

This paper proposes a novel graph neural network recommendation method to alleviate the user cold-start problem caused by too few relevant items in personalized recommendation collaborative filtering. A deep feedforward neural network is constructed to transform the bipartite graph of user–item interactions into the spectral domain, using a random wandering method to discover potential correlation information between users and items. Then, a finite-order polynomial is used to optimize the convolution process and accelerate the convergence of the convolutional network, so that deep connections between users and items in the spectral domain can be discovered quickly. We conducted experiments on the classic dataset MovieLens-1M. The recall and precision were improved, and the results show that the method can improve the accuracy of recommendation results, tap the association information between users and items more effectively, and significantly alleviate the user cold-start problem.

Effectiveness and Safety of Lianhua Qingwen Capsules for COVID-19: A Propensity-Score Matched Cohort Study.

As a traditional Chinese medicine, Lianhua Qingwen capsules have been widely used to treat Coronavirus Disease 2019 (COVID-19). This study was aimed to demonstrate the association between treatment with Lianhua Qingwen capsules and the clinical outcomes of hospitalized patients with COVID-19. This retrospective study was conducted at four hospitals in Central China. Data of hospitalized COVID-19 patients were collected between December 19, 2019 and April 26, 2020. Based on whether Lianhua Qingwen capsules were used, patients were classified into Lianhua Qingwen and non-Lianhua Qingwen (control) groups. To control for confounding factors, we used conditional logistic regression in a propensity-score matched (PSM) cohort (1 : 1 balanced), as well as logistic regression without matching as sensitivity analysis. A total of 4918 patients were included, 2760 of whom received Lianhua Qingwen capsules and 2158 of whom did not. In the PSM model, after adjusting for confounders, the in-hospital mortality was similar between the Lianhua Qingwen group and the control group (6.8% vs. 3.3%, adjusted OR, 0.66 [95% CI, 0.38-1.15], p = 0.138). The negative conversion rate of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection was higher in the Lianhua Qingwen group (88.3% vs. 96.1%, adjusted OR, 4.02 [95% CI, 2.58-6.25], p < 0.001). The incidence of acute liver injury was comparable between the two groups (14.0% vs. 11.5%, adjusted OR: 0.85 [95% CI, 0.71-1.02], p = 0.083), and the incidence of acute kidney injury was lower in the Lianhua Qingwen group (5.3% vs. 3.0%, adjusted OR: 0.71 [95% CI, 0.50-1.00], p = 0.048). Treatment with Lianhua Qingwen capsules was not significantly associated with in-hospital mortality in COVID-19 patients. In the Lianhua Qingwen group, the negative conversion rate of SARS-CoV-2 infection was higher and the incidence of acute kidney injury was lower than in the control group.

A bibliometric analysis of telerehabilitation services for patients with stroke.

Background: Routine rehabilitation services were disrupted by the COVID-19 pandemic outbreak. Telehealth was identified as an alternative means to provide access to these services. This bibliometric study aimed to analyze the scientific literature to discover trends and topics in the potential applications of telerehabilitation for patients with stroke. Methods: The Web of Science electronic database was searched to retrieve relevant publications on telerehabilitation. Bibliometric data, including visual knowledge maps of authors, countries, institutions, and references, were analyzed in CiteSpace. Visualization maps were generated in VOSviewer to illustrate recurrent keywords and countries actively involved in this research area. Results: The analysis was performed based on 6,787 publications. The number of publications peaked between 2019 and 2021, coinciding with the years of the COVID-19 outbreak. A total of 113 countries in Europe, North America, Asia, and Oceania had at least one publication in this research field, implying global attention in this research area. Nine of the top 10 most productive countries are developed countries, indicating a potentially higher capability to implement a telerehabilitation program. Conclusion: The potential benefits and diversity of telerehabilitation are already highly visible from clinical studies, and further improvements in these technologies are expected to enhance functionality and accessibility for patients. More relevant research is encouraged to understand the barriers to increased adaptation of telerehabilitation services, which will finally translate into a significant therapeutic or preventive impact.

Factors Affecting Preventive Behaviors for Safety and Health at Work during the COVID-19 Pandemic among Thai Construction Workers.

Occupational health and safety risks are of major concerns in construction industry. The COVID-19 outbreak provides an additional risk that could drastically affect the safety risks and health of construction workers. Understanding the factors that affect the health and safety of construction workers is significant in reducing risky behaviors and enhancing worker preventive behaviors. Via integrating the Protection Motivation Theory (PMT) and the extended Theory of Planned Behavior (TPB), this study investigates the factors that affect preventive behaviors among construction workers during the COVID-19 pandemic in Bangkok, Thailand. A total of 610 Thai construction workers participated in an online questionnaire survey, which consisted of nine factors with 43 questions. Structure equation modeling (SEM) was adopted to analyze the causal relationships among the latent variable. The SEM results indicated that organizational support and knowledge about COVID-19 had significant (p < 0.0001) direct influences on perceived vulnerability and perceived severity. In addition, perceived vulnerability and perceived severity had significant direct influences on perceived behavioral control. Perceived severity had significant (p < 0.0001) direct influence on attitude towards behavior. Moreover, perceived behavioral control and attitude towards behavior had significant (p < 0.0001) direct influence on intention to follow the preventive measure. Furthermore, the intention to follow the preventive measure had significant (p < 0.0001) direct influences on the COVID-19 preventive behavior. Of note, organizational support and knowledge about COVID-19 had significant (p < 0.0001) indirect influence on COVID-19 preventive behavior. The findings of this study may assist project managers/supervisors and authorities in the construction industry in understanding the challenge during COVID-19 and possible similar epidemics in the future. In addition, conducting effective strategies would improve construction industry safety and promote preventive behaviors among construction workers.

A bibliometric analysis of telerehabilitation services for patients with stroke

Background Routine rehabilitation services were disrupted by the COVID-19 pandemic outbreak. Telehealth was identified as an alternative means to provide access to these services. This bibliometric study aimed to analyze the scientific literature to discover trends and topics in the potential applications of telerehabilitation for patients with stroke. Methods The Web of Science electronic database was searched to retrieve relevant publications on telerehabilitation. Bibliometric data, including visual knowledge maps of authors, countries, institutions, and references, were analyzed in CiteSpace. Visualization maps were generated in VOSviewer to illustrate recurrent keywords and countries actively involved in this research area. Results The analysis was performed based on 6,787 publications. The number of publications peaked between 2019 and 2021, coinciding with the years of the COVID-19 outbreak. A total of 113 countries in Europe, North America, Asia, and Oceania had at least one publication in this research field, implying global attention in this research area. Nine of the top 10 most productive countries are developed countries, indicating a potentially higher capability to implement a telerehabilitation program. Conclusion The potential benefits and diversity of telerehabilitation are already highly visible from clinical studies, and further improvements in these technologies are expected to enhance functionality and accessibility for patients. More relevant research is encouraged to understand the barriers to increased adaptation of telerehabilitation services, which will finally translate into a significant therapeutic or preventive impact.

Discussion on the advantages of acupuncture and moxibustion in the prevention and treatment of COVID-19

COVID-19 belongs to the plague category of Traditional Chinese Medicine. It has been confirmed in many ancient books and modern clinical studies that the acupuncture and moxibustion can cure the plague. Containing COVID-19, National Health Commission of the People's Republic of China and National Administration of Traditional Chinese Medicine Jointly issued the Diagnosis and Treatment of Corona Virus Disease-19(7th edition). It mentions the treatment program of acupuncture and moxibustion participating in the prevention and treatment of COVID-19. Liu Baoyan's team analyzed the ideas of acupuncture and moxibustion treatment for COVID-19. However, the clinical advantages of acupuncture and moxibustion still need to be further clarified. In the treatment of many clinical symptoms of COVID-19, acupuncture therapy has a good clinical effect, so the purpose of our discussion on the advantages is to improve the clinical accuracy and efficacy of COVID-19.

A Dataset Auditing Method for Collaboratively Trained Machine Learning Models.

Dataset auditing for machine learning (ML) models is a method to evaluate if a given dataset is used in training a model. In a Federated Learning setting where multiple institutions collaboratively train a model with their decentralized private datasets, dataset auditing can facilitate the enforcement of regulations, which provide rules for preserving privacy, but also allow users to revoke authorizations and remove their data from collaboratively trained models. This paper first proposes a set of requirements for a practical dataset auditing method, and then present a novel dataset auditing method called Ensembled Membership Auditing (EMA). Its key idea is to leverage previously proposed Membership Inference Attack methods and to aggregate data-wise membership scores using statistic testing to audit a dataset for a ML model. We have experimentally evaluated the proposed approach with benchmark datasets, as well as 4 X-ray datasets (CBIS-DDSM, COVIDx, Child-XRay, and CXR-NIH) and 3 dermatology datasets (DERM7pt, HAM10000, and PAD-UFES-20). Our results show that EMA meet the requirements substantially better than the previous state-of-the-art method. Our code is at: https://github.com/Hazelsuko07/EMA.

Review of action mechanisms of acupuncture on post-traumatic stress disorder

Post-traumatic stress disorder(PTSD) is a kind of mental disorder caused by severe traumatic events. It has a high incidence, a serious of impacts on the physical and mental health of patients. Especially in the current situation of COVID-19, the researches on PTSD are particularly important, but the choice of drugs available for PTSD is limited and it is often accompanied by adverse reactions. In the field of acupuncture, there are many clinical research evidences suggested that PTSD is a predominant disease of acupuncture. However, its action mechanisms have not been fully elucidated, so the possible mechanisms of acupuncture in treating PTSD were discussed.

The COVID-19 pandemic and energy transitions: Evidence from low-carbon power generation in China.

The Corona Virus Disease 2019 (COVID-19) has led to a decline in carbon emissions or an improvement in air quality. Yet little is known about how the pandemic has affected the "low-carbon" energy transition. Here, using difference-in-differences (DID) models with historical controls, this study analyzed the overall impact of COVID-19 on China's low-carbon power generation and examined the COVID-19 effect on the direction of the energy transition with a monthly province-specific, source-specific dataset. It was found that the COVID-19 pandemic increased the low-carbon power generation by 4.59% (0.0648 billion kWh), mainly driven by solar and wind power generation, especially solar power generation. Heterogeneous effects indicate that the pandemic has accelerated the transition of the power generation mix and the primary energy mix from carbon-intensive energy to modern renewables (such as solar and wind power). Finally, this study put forward several policy implications, including the need to promote the long-term development of renewables, green recovery, and so on.

Association of Prognostic Nutritional Index with Severity and Mortality of Hospitalized Patients with COVID-19: A Systematic Review and Meta-Analysis.

The associations of prognostic nutritional index (PNI) with disease severity and mortality in patients with coronavirus disease 2019 (COVID-19) remain unclear. Electronic databases, including MEDLINE, EMBASE, Google scholar, and Cochrane Library, were searched from inception to 10 May 2022. The associations of PNI with risk of mortality (primary outcome) and disease severity (secondary outcome) were investigated. Merged results from meta-analysis of 13 retrospective studies (4204 patients) published between 2020 and 2022 revealed a lower PNI among patients in the mortality group [mean difference (MD): -8.65, p < 0.001] or severity group (MD: -5.19, p < 0.001) compared to those in the non-mortality or non-severity groups. A per-point increase in PNI was associated with a reduced risk of mortality [odds ratio (OR) = 0.84, 95% CI: 0.79 to 0.9, p < 0.001, I2 = 67.3%, seven studies] and disease severity (OR = 0.84, 95% CI: 0.77 to 0.92, p < 0.001, I2 = 83%, five studies). The pooled diagnostic analysis of mortality yielded a sensitivity of 0.76, specificity of 0.71, and area under curve (AUC) of 0.79. Regarding the prediction of disease severity, the sensitivity, specificity, and AUC were 0.8, 0.61, and 0.65, respectively. In conclusion, this study demonstrated a negative association between PNI and prognosis of COVID-19. Further large-scale trials are warranted to support our findings.

No Control, No Consumption: Association of Low Perceived Control and Intention to Accept Genetically Modified Food.

Based on compensatory control theory, the aim of this study was to examine the effects of perceived control on people's acceptance of genetically modified (GM) foods by using both correlational and experimental methods. Compensatory control theory proposes that the lower an individual's perceived control, the higher their need for structure, order, and certainty. Therefore, based on beliefs about GM foods that make some people less certain that those foods are as safe as traditional foods, we hypothesized that individuals with lower levels of perceived control are more inclined to reject GM foods. The analysis of questionnaire responses in Study 1 revealed that individuals' sense of control negatively predicted their risk perception of GM foods, while the need for structure played a mediating role. In Study 2, using a between-subject design, we manipulated participants' perceived control (higher vs. lower) and subsequently measured their risk perception and purchasing preferences for GM foods. The results in Study 2 show that under lower control conditions, individuals recognize higher risks related to GM foods, which, in turn, decreases their willingness to purchase GM foods. These results not only suggest that perceived control is a potential influential personal factor of the acceptance of GM foods but also extend the scope of the application of compensatory control theory.

Association between Fibrinogen-to-Albumin Ratio and Prognosis of Hospitalized Patients with COVID-19: A Systematic Review and Meta-Analysis.

Although the fibrinogen-to-albumin ratio (F/R ratio) has been used as an inflammation marker to predict clinical outcomes in patients with cardiovascular diseases, its association with the prognosis of patients with coronavirus disease 2019 (COVID-19) remains unclear. Electronic databases including EMBASE, MEDLINE, Google Scholar, and Cochrane Library were searched from inception to 20 June 2022. The associations of F/R ratio with poor prognosis (defined as the occurrence of mortality or severe disease) were investigated in patients with COVID-19. A total of 10 studies (seven from Turkey, two from China, one from Croatia) involving 3675 patients published between 2020 and 2022 were eligible for quantitative syntheses. Merged results revealed a higher F/R ratio in the poor prognosis group (standardized mean difference: 0.529, p < 0.001, I2 = 84.8%, eight studies) than that in the good prognosis group. In addition, a high F/R ratio was associated with an increased risk of poor prognosis (odds ratio: 2.684, I2 = 59.5%, five studies). Pooled analysis showed a sensitivity of 0.75, specificity of 0.66, and area under curve of 0.77 for poor prognosis prediction. In conclusion, this meta-analysis revealed a positive correlation between F/A ratio and poor prognostic outcomes of COVID-19. Because of the limited number of studies included, further investigations are warranted to support our findings.

Impact analysis of COVID-19 pandemic control measures on nighttime light and air quality in cities.

The COVID-19 pandemic has profoundly affected human society on a global scale. COVID-19 pandemic control measures have led to significant changes in nighttime light (NTL) and air quality. Four cities that were severely impacted by the pandemic and that implemented different pandemic control measures, namely, Wuhan (China), Delhi (India), New York (United States), and Rome (Italy), were selected as study areas. The Visible Infrared Imaging Radiometer Suite (VIIRS) and air quality data were used to study the variation characteristics of NTL and air quality in the four cities in 2020. NTL brightness in Wuhan, Delhi, New York, and Rome decreased by 8.88%, 17.18%, 8.21%, and 6.33%, respectively, compared with pre-pandemic levels; in the resumption phase Wuhan and Rome NTL brightness recovered by 13.74% and 3.38%, but Delhi and New York decreased by 16.23% and 4.99%. Nitrogen dioxide (NO2) concentrations in the lockdown periods of Wuhan, Delhi, New York, and Rome decreased by 65.07%, 68.75%, 55.59%, and 56.81%, respectively; PM2.5 decreased by 49.25%, 69.40%, 52.54%, and 66.67%. Air quality improved, but ozone (O3) concentrations increased significantly during the lockdown periods. The methods presented herein can be used to investigate the impact of pandemic control measures on urban lights and air quality.

Association of Prognostic Nutritional Index with Severity and Mortality of Hospitalized Patients with COVID-19: A Systematic Review and Meta-Analysis

The associations of prognostic nutritional index (PNI) with disease severity and mortality in patients with coronavirus disease 2019 (COVID-19) remain unclear. Electronic databases, including MEDLINE, EMBASE, Google scholar, and Cochrane Library, were searched from inception to 10 May 2022. The associations of PNI with risk of mortality (primary outcome) and disease severity (secondary outcome) were investigated. Merged results from meta-analysis of 13 retrospective studies (4204 patients) published between 2020 and 2022 revealed a lower PNI among patients in the mortality group [mean difference (MD): −8.65, p < 0.001] or severity group (MD: −5.19, p < 0.001) compared to those in the non-mortality or non-severity groups. A per-point increase in PNI was associated with a reduced risk of mortality [odds ratio (OR) = 0.84, 95% CI: 0.79 to 0.9, p < 0.001, I2 = 67.3%, seven studies] and disease severity (OR = 0.84, 95% CI: 0.77 to 0.92, p < 0.001, I2 = 83%, five studies). The pooled diagnostic analysis of mortality yielded a sensitivity of 0.76, specificity of 0.71, and area under curve (AUC) of 0.79. Regarding the prediction of disease severity, the sensitivity, specificity, and AUC were 0.8, 0.61, and 0.65, respectively. In conclusion, this study demonstrated a negative association between PNI and prognosis of COVID-19. Further large-scale trials are warranted to support our findings.

Comparative bioactivity evaluation and chemical profiling of different parts of the medicinal plant Glycyrrhiza uralensis.

Glycyrrhiza uralensis is a popular medicinal plant worldwide. Its roots and rhizomes are used as the traditional Chinese medicine Gan-Cao. However, little is known on medicinal potential and chemistry of the other parts of the plant. In this work, the biological activities and chemical components of the roots, stems, leaves, and seeds of G. uralensis were investigated comparatively. The four parts exhibited different but noticeable biological activities. The chemicals in the four parts were globally characterized by liquid chromatography coupled with mass spectrometry (LC/MS) on a Thermo Vanquish UHPLC system connected to a Q-Exactive quadrupole Orbitrap mass spectrometer. By integrating molecular networking, compound spectral matching, MS2LDA-based substructure recognition, and reference standards comparison, a total of 1301 compounds were rapidly characterized. Three flavonoid C-glycosides were purified and their structures were identified by NMR spectroscopic analysis. Orthogonal partial least squares-discriminate analysis (OPLS-DA) further revealed 196 differential chemicals for the four parts. This work will promote the medicinal resource utilization of G. uralensis.

Renal artery thrombosis in SARS-CoV-2 infection: a case report.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is identified as the pneumonia and acute respiratory distress syndrome caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). The intravascular thrombotic phenomena related to the COVID-19 are emerging as an important complication that contribute to significant mortality. CASE PRESENTATION: We present a 62-year-old man with severe COVID-19 and type 2 diabetes. After symptomatic and supportive treatment, the respiratory function was gradually improved. However, the patient suddenly developed abdominal pain, and the enhanced CT scan revealed renal artery thrombosis. Given the risk of surgery and the duration of the disease, clopidogrel and heparin sodium were included in the subsequent treatment. The patient recovered and remained stable upon follow-up. CONCLUSIONS: Thrombosis is at a high risk in patients with severe COVID-19 pneumonia because of hypercoagulable state, blood stasis and endothelial injury. Thrombotic events caused by hypercoagulation status secondary to vascular endothelial injury deserves our attention. Because timely anticoagulation can reduce the risk of early complications, as illustrated in this case report.

Influence of Information Sources on Chinese Parents Regarding COVID-19 Vaccination for Children: An Online Survey.

(1) Aims: This study explored the mechanism by which exposure to different information sources on social media influences Chinese parents' intention to vaccinate their children against COVID-19. (2) Methods: We developed a research framework based on the Stimulus-Organism-Response (SOR) theory to illustrate how exposure to information sources on social media increases vaccine confidence and, as a result, parents' intentions regarding pediatric vaccination. The partial least square structural equation modeling (PLS-SEM) method was used to test the data collected through an online survey (687 valid samples). (3) Results: The government approval of vaccines fuels vaccination confidence and acts as a mediator between (a) mass media, government new media, and key opinion leaders, and (b) perceived effectiveness and side effects (safety) of vaccines. (4) Conclusions: The mass media, government new media, and key opinion leaders are crucial sources for encouraging parents to vaccinate their children since they boost the vaccination trust. The focus of COVID-19 vaccination promotion should be to strengthen parents' trust in the government, combined with publicizing the effectiveness and side effects (safety) of vaccines.