Multi-objective route recommendation method based on Q-learning algorithm

With the continuous expansion of city scale and the advancement of transportation technology, route recommendations have become an increasingly common concern in academic and engineering circles. Research on route recommendation technology can significantly satisfy the travel demands of residents and city operations, thereby promoting the construction of smart cities and the development of intelligent transportation. However, most current route recommendation methods focus on generating a route satisfying a single objective attribute and fail to comprehensively consider other types of objective attributes or user preferences to generate personalized recommendation routes. This study proposes a multi-objective route recommendation method based on the reinforcement learning algorithm Q-learning, that comprehensively considers multiple objective attributes, such as travel time, safety risk, and COVID-19 risk, and generates recommended routes that satisfy the requirements of different scenarios by combining user preferences. Simultaneously, to address the problem that the Q-learning algorithm has low iteration efficiency and easily falls into the local optimum, this study introduces the dynamic exploration factor σ and initializes the value function in the road network construction process. The experimental results show that, when compared to other traditional route recommendation algorithms, the recommended path generated by the proposed algorithm has a lower path cost, and based on its unique Q-value table search mechanism, the proposed algorithm can generate the recommended route almost in real time. [ FROM AUTHOR]

Effect of Mg2+level on the functions of cd8+t lymphocytes and nk cells in patients with COVID-19

Objective:To investigate the changes of Mg2+ levels in serum and peripheral blood mononuclear cells (PB-MCs) of patients with COVID-19 and its effects on the functions of CD8+ T lymphocytes and NK cells.

Exploring the mechanism of action of licorice in the treatment of COVID-19 through bioinformatics analysis and molecular dynamics simulation

The mechanisms analysis of licorice in the treatment of COVID-19.

Spatial Humanities and Geo-computation for Social Sciences:Advances and Applications

Humanities and Social Sciences (HSS) are undergoing the transformation of spatialization and quantification. Geo-computation, with geoinformatics (including RS: Remote Sensing;GIS: Geographical Information System;GNSS: Global Navigation Satellite System), provides effective computational and spatialization methods and tools for HSS. Spatial Humanities and Geo-computation for Social Sciences (SH&GSS) is a field coupling geo-computation, and geoinformatics, with HSS. This special issue accepted a set of contributions highlighting recent advances in methodologies and applications of SH&GSS, which are related to sentiment spatial analysis from social media data, emotional change spatial analysis from news data, spatial analysis of social media related to COVID-19, crime spatiotemporal analysis, “double evaluation” for Land Use/Land Cover (LUCC), Specially Protected Natural Areas (SPNA) analysis, editing behavior analysis of Volunteered Geographic Information (VGI), electricity consumption anomaly detection, First and Last Mile Problem (FLMP) of public transport, and spatial interaction network analysis for crude oil trade network. Based on these related researches, we aim to present an overview of SH&GSS, and propose some future research directions for SH&HSS.

Extrapulmonary complications of COVID-19: A multisystem disease?

The outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been recently declared a pandemic by the World Health Organization. In addition to its acute respiratory manifestations, SARS-CoV-2 may also adversely affect other organ systems. To date, however, there is a very limited understanding of the extent and management of COVID-19-related conditions outside of the pulmonary system. This narrative review provides an overview of the current literature about the extrapulmonary manifestations of COVID-19 that may affect the urinary, cardiovascular, gastrointestinal, hematological, hematopoietic, neurological, or reproductive systems. This review also describes the current understanding of the extrapulmonary complications caused by COVID-19 to improve the management and prognosis of patients with COVID-19.

Clinical Features of COVID-19 Patients in Xiaogan City.

On February 6, 2020, Xiaogan City became the second most seriously affected city with coronavirus disease 2019 (COVID-19), outside Wuhan district, Hubei Province, China. The objectives are to study the clinical features of COVID-19 patients and assess the relationship between the severity of COVID-19, age, and C-reactive protein (CRP) levels. The retrospective data of 134 COVID-19 patients hospitalized in 3 hospitals of Xiaogan City, between February 1 and March 1, 2020, was collected. This study documented COVID-19 patients. Clinical data in terms of body temperature, history of travel, and direct contact with COVID-19 patients, and incubation period was collected. Out of the 134 patients, only 5 required intensive care. Moreover, 2 patients succumbed during this period. The median age of patients was 45 (33-56) years. The most common symptoms at the onset of disease were fever (66.4%), cough (33, 6%), and sore throat (14.7%). Amongst the medicines used, antiviral agents (92.3%) followed by the traditional Chinese medicine (89.5%) were most commonly used. In both the crude and adjusted (I to III) models, odds ratio and its 95% confidence interval for both age and CRP levels were > 1. Moreover, the smooth curve fitting graph reflected that the severity of COVID-19 was positively correlated with both age and CRP levels (all P value < 0.05). The signs and symptoms of COVID-19 patients were fairly moderate. The health care professionals treating the COVID-19 patients should be aware of the increased likelihood of progression to severe COVID-19 in elderly patients and those with high CRP levels.

Current status of the research on liver injury caused by SARS-CoV-2

The outbreak of viral pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Wuhan, China poses a major threat to public health. SARS-CoV-2 is highly homologous to severe acute respiratory syndrome-associated coronavirus and Middle East respiratory syndrome-associated coronavirus, all of which may cause severe respiratory symptoms. In addition to respiratory symptoms, a considerable proportion of patients with SARS and SARS-CoV-2 infection have varying degrees of liver injury, but their epidemiological features and pathogenesis remains unclear. This article summarizes the epidemiology of SARS-CoV-2 and elaborates on the current status of the research on SARS-CoV-2, possible mechanism of liver injury caused by SARS-CoV-2, and effective treatment regimens, so as to provide a reference and new research ideas for the prevention and treatment of liver injury in patients with SARS-CoV-2 infection.

COVID-19 and Liver Dysfunction: Current Insights and Emergent Therapeutic Strategies.

The outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has attracted increasing worldwide attention. Cases of liver damage or dysfunction (mainly characterized by moderately elevated serum aspartate aminotransferase levels) have been reported among patients with COVID-19. However, it is currently uncertain whether the COVID-19-related liver damage/dysfunction is due mainly to the viral infection per se or other coexisting conditions, such as the use of potentially hepatotoxic drugs and the coexistence of systemic inflammatory response, respiratory distress syndrome-induced hypoxia, and multiple organ dysfunction. Based on the current evidence from case reports and case series, this review article focuses on the demographic and clinical characteristics, potential mechanisms, and treatment options for COVID-19-related liver dysfunction. This review also describes the geographical and demographic distribution of COVID-19-related liver dysfunction, as well as possible underlying mechanisms linking COVID-19 to liver dysfunction, in order to facilitate future drug development, prevention, and control measures for COVID-19.

Serological Test is an Efficient Supplement for Detecting RNA to Confirm SARS-CoV-2 Infection (preprint)

To date, viral RNA detection is almost the only way to confirm SARS-CoV-2infectionin practice.However, variousreasons can cause low sensitivity for RNA detection, and thisposes aserious challenge to disease control. We tested the performance of detecting total antibody(Ab) and IgM levels in serum by the methods of chemiluminescence, enzyme-linked immunosorbent assay (ELISA), and colloidal golddetection. The datashowed that the sensitivity and specificity for detecting total Ab and IgM levels were high by all three methods, and the sensitivity was higher for detecting total Ab than for detecting IgM. Evidence from studieshas shown thatviral RNA testingcombinedwith serological testing could increase the diagnostic sensitivity while maintaining a high specificity. Specific serology testsfor SARS-CoV-2 havegreat value for clinical practice and public health.