Exploration of college students' psychological problems based on online education under COVID-19

As a result of the COVID-19 pandemic, many college students have been isolated at home and unable to walk into class as usual. This series of protective measures to avoid the spread of the disease may have an additional psychological impact on the lives of college students. The purpose of this study was to propose a strategy for using an intelligent online learning system based on content recommendations and electronic questionnaires in the educational domain. We invited 3000 isolated university students (47.6% male and 52.4% female) to an online trial. It proved to be effective in helping us intervene in students' psychological problems quickly, objectively, efficiently, and in real-time. In addition, our analysis of the data collected from the intelligent online learning system showed that the degree to which college students' psychological problems were affected by isolation was closely related to students' grade level, family background, major category, and computer proficiency. The current study suggests that the mental health of college students should be well monitored during segregation. Targeted psychological counseling is more necessary for students in upper grades, low-income families, liberal arts majors, and those with weak computer proficiency to reduce the emotional impact of segregation on students.

Traversing the storm: An interdisciplinary review of crisis leadership

An organizational crisis is a low-probability, high-impact event that threatens the survival of organizations and individuals, often with little warning. In response, people seek clarity, reassurance, and hope from organiza-tional leaders. Yet, crises also vary in nature and impact (e.g., a product failure versus the COVID-19 pan-demic), which presents diverse challenges to leaders and differing stakeholder perceptions. Based on a critical analysis of 69 empirical articles, we provide a comprehensive, systematic, interdisciplinary review of the crisis leadership literature. Our review utilizes the Coombs and Holladay (1996) crisis typology, where crises are categorized according to mutually exclusive attributional dimensions (i.e., internal-external and intentional-unintentional). We conduct a thematic analysis of crisis leadership within and across these four cri-sis categories and find that each is associated with a different leadership theme. We also examine the method-ological quality and rigor of the qualitative and quantitative articles in our review. Based on our findings, we also offer suggestions to guide future crisis leadership research, and provide guidance for organizational lead-ers in how to respond to various crises.

The effects of international research collaboration on the policy impact of research: A causal inference drawing on the journal Lancet

Research findings have been widely used as evidence for policy-making. The internationalisation of research activities has been increasing in recent decades, particularly during the COVID-19 pandemic. Previous studies have revealed that international research collaboration can enhance the academic impact of research. However, the effects that international research collaboration exerts on the policy impact of research are still unknown. This study aims to examine the effects of international research collaboration on the policy impact of research (as measured by the number of citations in policy documents) using a causal inference approach. Research articles published by the journal Lancet between 2000 and 2019 were selected as the study sample (n = 6098). The number of policy citations of each article was obtained from Overton, the largest database of policy citations. Propensity score matching analysis, which takes a causal inference approach, was used to examine the dataset. Four other matching methods and alternative datasets of different sizes were used to test the robustness of the results. The results of this study reveal that international research collaboration has significant and positive effects on the policy impact of research (coefficient = 4.323, p < 0.001). This study can provide insight to researchers, research institutions and grant funders for improving the policy impact of research. © The Author(s) 2023.

Clinical Efficacy of Modified Sanxiaoyin in Treatment of Mild or Moderate COVID-19 Patients:Based on Retrospective Analysis.

Objective: To retrospectively analyze the clinical data of 52 patients with coronavirus disease-2019 COVID-19 and explore the clinical efficacy of modified Sanxiaoyin on mild/moderate COVID-19 patients. Method(s): The propensity score matching method was used to collect the clinical data of mild or moderate COVID-19 patients enrolled in the designated hospital of the Second Hospital of Jingzhou from December 2019 to May 2020. A total of 26 eligible patients who were treated with modified Sanxiaoyin were included in the observation group,and the 26 patients treated with conventional method were the regarded as the control. The disappearance of clinical symptoms,disappearance time of main symptoms,efficacy on traditional Chinese medicineTCMsymptoms,hospitalization duration,laboratory test indicators,and CT imaging changes in the two groups were compared. Result(s): The general data in the two groups were insignificantly different and thus they were comparable. After 7 days of treatment,the disappearance rate of fever,cough, fatigue,dry throat,anorexia,poor mental state,and poor sleep quality in the observation group was higher than that in the control groupP<0.05,and the difference in the disappearance rate of expectoration and chest distress was insignificant. For the cases with the disappearance of symptoms,the main symptomsfever, cough,fatigue,dry throat,anorexia,chest distressdisappeared earlier in the observation group than in the control groupP<0.01. After 7 days of treatment,the scores of the TCM symptom scale of both groups decreasedP<0.01,and the decrease of the observation group was larger that of the control groupP<0.01. All patients in the two groups were cured and discharged. The average hospitalization duration in the observation group12.79+/-2.68dwas shorter than that in the control group15.27+/-3.11dP<0.01. The effective rate in the observation group92.31%,24/26was higher than that in the control group76.92%,20/26. After 7 days of treatment,the lymphocyteLYMcount increasedP<0.05,and white blood cellWBCcount and neutrophilNEUTcount decreased insignificantly in the two groups. Moreover,levels of C-reactive protein CRP,erythrocyte sedimentation rateESR,and procalcitoninPCTreduced in the two groups after treatmentP<0.01and the reduction in the observation group was larger than that in the control group P<0.01. Through 7 days of treatment,the total effective rate on pulmonary shadow in the observation group 90.00%,18/20was higher than that in the control group77.27%,17/22P>0.05and the improvement of lung shadow in the observation group was better than that in the control groupP<0.01. Conclusion(s):Modified Sanxiaoyin can significantly alleviate fever,cough,fatigue,anorexia,chest distress,poor sleep quality,and other symptoms of patients with mild or moderate COVID-19,improve biochemical indicators,and promote the recovery of lung function. This paper provides clinical evidence for the application of modified Sanxiaoyin in the treatment of mild or moderate COVID-19.Copyright © 2022, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.

Can Role-Based Public Leadership Promote Subordinate Taking Charge? The Role of Political Skills and Public Service Motivation

This paper focused on role-based public leadership's impact and internal mechanism on subordinate taking charge behavior (TCB). The explanatory model of rationality and value dual paths was proposed and verified through hierarchical regression and bootstrap tests, with the data from a questionnaire survey to the Bureau of Commerce. The main conclusions are as follows: (1) Public service motivation is a mediating variable between public leadership and TCB;(2) political skills have a double-edged sword effect. Political skills positively moderate the impact of public leadership on TCB. Meanwhile, it negatively moderates the effects of public leadership on public service motivation and the effects of public service motivation on TCB;(3) under the high political skill level of subordinates, public leadership has a direct impact on the TCB, while under the low political skill level of subordinates, the direct effect of public leadership on the TCB is insignificant.

Requesting a commitment in school teachers to teach in unprecedented ways: The mediating role of teacher agency

The necessity for the development and enhancement of teacher commitment to satisfying students' learning needs in response to the COVID crisis is increasingly highlighted. It is not known, however, how to increase commitment in schoolteachers to boost online teaching in light of the fact that they, too, are struggling to cope with the rapid, unexpected change. A total of 601 teachers from primary and secondary schools across China participated in this study, with an average teaching experience of 15.9 years. Structural equation modelling was used to verify the significance of contextual, cognitive, affective and behavioural factors in boosting teachers' commitment to online teaching. The findings demonstrated that teacher agency played a complete mediating role in the predicting power of other factors to teacher commitment. Therefore, it was recommended that attention be paid to the practice and opportunities for teacher agentic actions, which necessitates real encounters with online teaching, allowing teachers to act meaningfully and initiate a new set of teaching strategies. Practitioner notes What is already known about this topic The large-scale transition to emergency online teaching serves as the catalyst for creating a blended or hybrid model of education provision in the long term. How hard teachers work to perform at their best and overcome obstacles to support students' learning needs in new environment relies on the intensity of teacher commitment to change. Online and blended learning requires teachers to not only be prepared for a diverse learning environment but also to build and rebuild their own identity as future teachers. What this paper adds This study adds to our knowledge of how traditional F2F classroom teachers reinvented their roles and responsibilities in response to the pandemic-driven challenges based on real-world experiences. As a result of the COVID-19 lockdown school closures, schoolteachers' commitment to enhancing online teaching efforts has increased. The study highlights the complete mediating role of teacher agency in the predicting power of cognitive and affective factors to teacher commitment. Implications for practice and/or policy To learn more about how to be a good online teacher, future teachers need greater deliberate effort in diverse online teaching activities. Future teachers should be equipped with not only new technological and remote instructional strategies and skills, but also with confidence in, value for, and actual experiences with online teaching in a technology-rich environment. For teachers to obtain hands-on experience in integrating technology with distance teaching pedagogy at a time of rapid change, schools should have some days online and offer blended learning opportunities wherever possible. © 2023 British Educational Research Association.

Drum Up SUPPORT: Systematic Analysis of Image-Schematic Conceptual Metaphors

Conceptual metaphors represent a cognitive mechanism to transfer knowledge structures from one onto another domain. Image-schematic conceptual metaphors (ISCMs) specialize on transferring sensorimotor experiences to domains. Natural language is believed to provide evidence of such metaphors. However, approaches to verify this hypothesis largely rely on top-down methods, gathering examples by way of introspection, or on manual corpus analyses. In order to contribute towards a method that is systematic and can be replicated, we propose to bring together existing processing steps in a pipeline to detect ISCMs, exemplified for the image schema SUPPORT in the COVID-19 domain. This pipeline consists of neural metaphor detection, dependency parsing to uncover construction patterns, clustering, and BERT-based frame annotation of dependent constructions to analyze ISCMs. © 2022 Association for Computational Linguistics.

Imaging features of COVID-19: a series of 56 cases.

Objective: To evaluate the imaging features of CT scan in patients with COVID-19. Method(s): Clinical data of 56 patients with COVID-19 from January 17 to 19, 2020 admitted to Wenzhou Central Hospital and the Second Affiliated Hospital of Wenzhou Medical University were retrospectively reviewed. The clinical manifestations, lung imaging characteristics and treatment outcomes of patients with different severity were analyzed with SAS software. Result(s): Fever (92.8%, 52/56), dry cough (75.0%, 42/56) and asthenia (58.9%, 33/56) were the first symptoms in most of the patients;some patients also had shortness of breath (25.0%, 14/56) and pharyngeal pain (10.7%, 6/56). Chest high-resolution CT scan showed that in 42 moderate patients, ground glass-like high-density shadows in the lung were observed in 30 cases (71.4%);localized plaque consolidation shadows and bronchial inflation signs were observed in 10 cases (23.8%). In 12 severe patients, 11 had high-density patches involving multiple lung lobes (>=3). In 2 critically ill patients the patches and stripes involving the entire lung were observed;and cord-like high-density shadow, local consolidation and fibrosis were also shown. Conclusion(s): The multiple ground-glass changes outside the lungs are early imaging manifestations of COVID-19 patients. The increase in pulmonary lobe consolidation and fibrosis may indicate the disease progression, and the degree of lung consolidation and fibrosis is closely related to the disease severity.Copyright © 2020 by the Chinese Medical Association.

Imaging features of COVID-19: a series of 56 cases.

Objective: To evaluate the imaging features of CT scan in patients with COVID-19. Method(s): Clinical data of 56 patients with COVID-19 from January 17 to 19, 2020 admitted to Wenzhou Central Hospital and the Second Affiliated Hospital of Wenzhou Medical University were retrospectively reviewed. The clinical manifestations, lung imaging characteristics and treatment outcomes of patients with different severity were analyzed with SAS software. Result(s): Fever (92.8%, 52/56), dry cough (75.0%, 42/56) and asthenia (58.9%, 33/56) were the first symptoms in most of the patients;some patients also had shortness of breath (25.0%, 14/56) and pharyngeal pain (10.7%, 6/56). Chest high-resolution CT scan showed that in 42 moderate patients, ground glass-like high-density shadows in the lung were observed in 30 cases (71.4%);localized plaque consolidation shadows and bronchial inflation signs were observed in 10 cases (23.8%). In 12 severe patients, 11 had high-density patches involving multiple lung lobes (>=3). In 2 critically ill patients the patches and stripes involving the entire lung were observed;and cord-like high-density shadow, local consolidation and fibrosis were also shown. Conclusion(s): The multiple ground-glass changes outside the lungs are early imaging manifestations of COVID-19 patients. The increase in pulmonary lobe consolidation and fibrosis may indicate the disease progression, and the degree of lung consolidation and fibrosis is closely related to the disease severity.Copyright © 2020 by the Chinese Medical Association.

Could Celastrol Nanosystem be Suitable for the Treatment of COVID-19?

The COVID-19 pandemic occurred over two years and has not yet been finished. There are some possible Chinese medicines formulations used to prevent and treat COVID-19. Single pure herbal such as curcumin is the most common to combat SARS-CoV-2 with antioxidant, anti-inflammatory, antibacterial, antiviral, antitumor, and hepatoprotective properties. This short communication describes another single pure herbal, "Celastrol”, research progress and its nanosystem for the treatment of COVID-19. © 2022 by the authors.

Does economic power or leadership matter? The difference between male and female world leaders in managing pandemics

Factors that are typically associated with better disease prevention and control, such as the health care expenses and the wealth of a nation, are no longer reliable predictors of disease parameters during the Covid-19 pandemic. In fact, we see many developed nations suffering from more widespread infection, a higher mortality rate, and longer pandemic duration. We analyse the performance outcomes of female-led vs. male-led countries in response to the Covid-19 pandemic. We employ regression analysis based on the full sample as well as a propensity score matched sample emphasizing women's roles in society. In general, we provide some evidence that female-led countries exhibit lower numbers of total population-weighted cases and shorter pandemic duration. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

Detecting wildlife trafficking in images from online platforms: A test case using deep learning with pangolin images

E-commerce has become a booming market for wildlife trafficking, as online platforms are increasingly more accessible and easier to navigate by sellers, while still lacking adequate supervision. Artificial intelligence models, and specifically deep learning, have been emerging as promising tools for the automated analysis and monitoring of digital online content pertaining to wildlife trade. Here, we used and fine-tuned freely available artificial intelligence models (i.e., convolutional neural networks) to understand the potential of these models to identify instances of wildlife trade. We specifically focused on pangolin species, which are among the most trafficked mammals globally and receiving increasing trade attention since the COVID-19 pandemic. Our convolutional neural networks were trained using online images (available from iNaturalist, Flickr and Google) displaying both traded and non-traded pangolin settings. The trained models showed great performances, being able to identify over 90 % of potential instances of pangolin trade in the considered imagery dataset. These instances included the showcasing of pangolins in popular marketplaces (e.g., wet markets and cages), and the displaying of commonly traded pangolin parts and derivates (e.g., scales) online. Nevertheless, not all instances of pangolin trade could be identified by our models (e.g., in images with dark colours and shaded areas), leaving space for further research developments. The methodological developments and results from this exploratory study represent an advancement in the monitoring of online wildlife trade. Complementing our approach with other forms of online data, such as text, would be a way forward to deliver more robust monitoring tools for online trafficking. © 2023 The Author(s)

Could Celastrol Nanosystem be Suitable for the Treatment of COVID-19?

The COVID-19 pandemic occurred over two years and has not yet been finished. There are some possible Chinese medicines formulations used to prevent and treat COVID-19. Single pure herbal such as curcumin is the most common to combat SARS-CoV-2 with antioxidant, anti-inflammatory, antibacterial, antiviral, antitumor, and hepatoprotective properties. This short communication describes another single pure herbal, "Celastrol", research progress and its nanosystem for the treatment of COVID-19.

Geography-mediated institutionalised cultural capital: regional inequalities in graduate employment

This article investigates how regional inequalities shape the employment seeking experiences and behaviour of graduates by drawing on the case of Chinese Master's graduates under COVID19. Based on interviews with graduates who chose to work as the 'targeted selected graduates' (TSG) of University A, located in the underdeveloped regions of North-western China, we show how their employment seeking was jointly impacted by three different but inter-related fields, the national economic, higher education, and graduate employment fields. These students were situated in a unique juncture across these fields;while their elite credentials from University A qualified them for these elite TSG programmes, they were disadvantaged by being excluded from TSG recruitments at economically developed regions. Importantly, we highlight that institutionalised cultural capital in the form of academic credentials from elite HEIs does not work in a 'straightforward' manner, but it has to be considered in conjunction with the geo-economic locations of their HEIs. We, therefore, propose the notion of 'geography-mediated institutionalised cultural capital' to capture this significant but under-theorised aspect of the graduate employment scene. This conceptual innovation enlightens the analysis of regional differences in different countries by considering how official or unofficial regional authorities' interventions shape graduate employment.

Dynamic spillover effects among international crude oil markets from the time-frequency perspective

This research takes seven representative crude oil markets in the world, decomposes and reconstructs the yield series by CEEMDAN and Fine-to-coarse algorithm, and measures the markets' risk level by applying the DCC-GARCH-CoVaR model. We further construct a network spillover model based on TVP-VAR to investigate the return spillover and risk spillover effects among these oil markets in different time scales. The empirical results are as follows. (1) Integration within the international crude oil market is deepening, and return spillover and risk spillover are at high levels. (2) In the short run, Brent, Tapis, and Bonny crude oil markets are the main net exporters of return spillovers, while in the long run, Brent, WTI, and Dubai crude oil markets are global crude oil price benchmarks. (3) The risk level of each crude oil market under the full sample and high-frequency perspective is generally consistent, and the dynamic spillover effects between markets are relatively close, while the Brent and Tapis crude oil markets are the main net exporters of risk spillovers from the low-frequency perspective. (4) The impact of the same event on the spillover effect is heterogeneous in different time scales. For example, the spread of the COVID-19 epidemic in 2020 and the break-up of the "OPEC +” crude oil negotiations reduced the risk spillover level in the short term, but increased the risk spillover level in the long term. © 2022 Elsevier Ltd

Evolution of tourism risk perception: A bibliometrics analysis on multi-dimensional model

How can we establish a risk perception model and method to guide safety management has become an important issue that needs to be solved urgently in the field of tourism management. However, the solution to this issue is inseparable from the objective analysis, induction and deduction, and the analysis of the frontier trend towards the multidimensional model of tourism risk perception. In this paper, 211 articles from the Web of Science are selected as the research object, and the bibliometric analysis is applied to find: (1) Research on tourism risk perception based on multidimensional models can be divided into nascent, developmental, and mature stages;(2) The research on the multi-dimensional model of tourism risk perception has formed a group of academic groups with outstanding contributions and representative authors;(3) The research hotspots in multidimensional models of tourism risk perception focus on the comprehensive study of perceived risk, the outbreak of COVID-19, psychological risk, destination image, and behavioral intention. On this basis, this paper proposes some corresponding research suggestions to address the inadequacies of existing studies, and the research findings have significant theoretical implications for the construction of the theoretical system of tourism risk management. © 2022 The Author(s).