Association studies between COVID-19 and SSc-ILD

Severe COVID-19 patients may develop pulmonary fibrosis, similar to SSc-ILD disease, suggesting a potential link between the two diseases. However, there are limited treatment options for SSc-ILD-type diseases. Therefore, investigating pathological markers of the two diseases can provide valuable insights for treating related conditions. RNA sequencing technology offers high throughput and precision. However, the bimodal nature of RNA-Seq data cannot be accurately captured by commonly used algorithms such as DESeq2. To address this issue, the Beta-Poisson model has been developed to identify differentially expressed genes. Unlike the classical DESeq2 algorithm, the Beta-Poisson model introduces a Beta distribution to construct a new hybrid distribution in place of the Gamma distribution of the Gamma-Poisson distribution, effectively characterizing the bimodal features of RNA-Seq data. The transcriptomes of SARS-CoV infection and SSc-ILD disease in the lung epithelial cell dataset were analyzed to identify common differentially expressed genes of SARS-CoV and SSc-ILD disease. Gene function and signaling pathway enrichment analysis and protein-protein interaction (PPI) network were used to identify common pathways and drug targets for SSc-ILD with COVID-19 infection. The results show that there are 50 differentially expressed genes in common between COVID-19 and SSC-ILD. The functions of these genes are mainly enriched in immune system response, interferon signaling pathway and other related signaling pathways, and enriched in biological processes such as cell defense response to virus and interferon regulation. Based on the detection of hub genes based on PPIs network, it is predicted that STAT1, ISG15, IRF7, MX1, EIF2AK2, DDX58, OAS1, OAS2, IFIT1 and IFIT3 are the key genes involved in the pathological phenotype of the two diseases. Based on the key genes, the interaction of transcription factor (TF) and miRNA with common differentially expressed genes is also identified. The possible pathological markers of the two diseases and related molecular regulatory mechanisms of disease treatment are revealed to provide theoretical basis for the treatment of the two diseases. © 2023 Editorial Office of Journal of Shenzhen University. All rights reserved.

Breaking the Ice with Group Flow: A Collaborative VR Serious Game for Relationship Enhancement

It is usually hard for unfamiliar partners to rapidly 'break the ice' in the early stage of relationship establishment, which hinders the development of relationship and even affects the team productivity. To solve this problem, we proposed a collaborative serious game for icebreaking by combining immersive virtual reality (VR) with brain-computer interface based on the team flow framework. We designed a multiplayer collaboration task with the theme of fighting COVID-19 and proposed an approach to improve empathy between team members by sharing their real-time mental state in VR;in addition, we propose an EEG-based method for dynamic evaluation and enhancement of group flow experience to achieve better team collaboration. Then, we developed a prototype system and performed a user study. Results show that our method has good ease of use and can significantly reduce the psychological distance among team members. Especially for unfamiliar partners, both functions of mental state sharing and group flow regulation enhancement can significantly reduce the psychological distance. © 2023 IEEE.

Spatial Interactions and the Spread of COVID-19: A Network Perspective

We use unique data on the travel history of confirmed patients at a daily frequency across 31 provinces in China to study how spatial interactions influence the geographic spread of pandemic COVID-19. We develop and simultaneously estimate a structural model of dynamic disease transmission network formation and spatial interaction. This allows us to understand what externalities the disease risk associated with a single place may create for the entire country. We find a positive and significant spatial interaction effect that strongly influences the duration and severity of pandemic COVID-19. And there exists heterogeneity in this interaction effect: the spatial spillover effect from the source province is significantly higher than from other provinces. Further counterfactual policy analysis shows that targeting the key province can improve the effectiveness of policy interventions for containing the geographic spread of pandemic COVID-19, and the effect of such targeted policy decreases with an increase in the time of delay.

Video-Based Online Interactive System Using CNN Segmentation Method

In recent years, the COVID-19 has made it difficult for people to interact with each other face-to-face, but various kinds of social interactions are still needed. Therefore, we have developed an online interactive system based on the image processing method, that allows people in different places to merge the human region of two images onto the same image in real-time. The system can be used in a variety of situations to extend its interactive applications. The system is mainly based on the task of Human Segmentation in the CNN (convolution Neural Network) method. Then the images from different locations are transmitted to the computing server through the Internet. In our design, the system ensures that the CNN method can run in real-time, allowing both side users can see the integrated image to reach 30 FPS when the network is running smoothly. © 2023 IEEE.

Agricultural Social Networks: An Agricultural Value Chain-Based Digitalization Framework for an Inclusive Digital Economy

Sustainable agriculture is the backbone of food security systems and a driver of human well-being in global economic development (Sustainable Development Goal SDG 3). With the increase in world population and the effects of climate change due to the industrialization of economies, food security systems are under pressure to sustain communities. This situation calls for the implementation of innovative solutions to increase and sustain efficacy from farm to table. Agricultural social networks (ASNs) are central in agriculture value chain (AVC) management and sustainability and consist of a complex network inclusive of interdependent actors such as farmers, distributors, processors, and retailers. Hence, social network structures (SNSs) and practices are a means to contextualize user scenarios in agricultural value chain digitalization and digital solutions development. Therefore, this research aimed to unearth the roles of agricultural social networks in AVC digitalization, enabling an inclusive digital economy. We conducted automated literature content analysis followed by the application of case studies to develop a conceptual framework for the digitalization of the AVC toward an inclusive digital economy. Furthermore, we propose a transdisciplinary framework that guides the digitalization systematization of the AVC, while articulating resilience principles that aim to attain sustainability. The outcomes of this study offer software developers, agricultural stakeholders, and policymakers a platform to gain an understanding of technological infrastructure capabilities toward sustaining communities through digitalized AVCs.

Kaleidoscope: A Reflective Documentation Tool for a User Interface Design Course

Documentation can support design work and create opportunities for learning and reflection. We explore how a novel documentation tool for a remote interaction design course provides insight into design process and integrates strategies from expert practice to support studio-style collaboration and reflection. Using Research through Design, we develop and deploy Kaleidoscope, an online tool for documenting design process, in an upper-level HCI class during the COVID-19 pandemic, iteratively developing it in response to student feedback and needs. We discuss key themes from the real-world deployment of Kaleidoscope, including: tensions between documentation and creation;effects of centralizing discussion;privacy and visibility in shared spaces;balancing evidence of achievement with feelings of overwhelm;and the effects of initial perceptions and incentives on tool usage. These successes and challenges provide insights to guide future tools for design documentation and HCI education that scaffold learning process as an equal partner to execution. © 2023 Owner/Author.

Introduction

Taking for granted new perspectives of nationalism in China's twenty-first-century global politics, this book introduces the everyday micro and macro-social levels of political, cultural, and economic behaviours and practices of individuals and States in society. It analyses the transformations surrounding the public domain of States and their national boundaries. Indeed, examples ranging from the UK's withdrawal from the European Union (EU) to the global social contexts of the COVID-19 pandemic, including China's politics of the Belt and Road Initiative (BRI), have shown evidence of growing "global nationalism”. By putting the case of China's BRI, the book advances the multi-scale dimensions of nationalism. It inserts the double face of foreign public policy and global Chinese activities. Based on a sociological-political perspective, the book reveals interactions emerging from "inside” and "outside” domains of States and their public actions. It also shows evidence of the role of culture in the global political economy. In addition, China's BRI puts forward distinct roles of culture, interests, and economy. These interactions run as the key features of the reception of the Chinese foreign policy. Specifically, technologies, development projects, trade, agro-industry, cyber-technologies, expertise, labour, military, and individuals and States' normative ambitions disclose new perspectives on nationalism and political economy. Contributors in this book explore these transactions between nationalism and economic politics by drawing on different cases from Africa, the Middle East, Europe, Asia, and Latin America. © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022.

Safety of Pharmacotherapy in COVID-19 Patients: A Literature Review.

The safety of COVID-19 pharmacotherapy is a relevant issue, first of all, because of the current lack of experience with using particular medicinal products and with off-label prescribing. The aim of the study was to analyse information on potential adverse drug reactions (ADRs) and their predictors in etiology- and pathogenesis-oriented COVID-19 therapy. According to literature data, the main clinically significant risk factors for COVID-19 patients to develop an ADR are the duration of their hospital stay, combined use of antivirals, polypharmacy, and their history of drug allergies. The most common adverse reactions to antivirals, to virus-neutralising antibodies, and to human anti-COVID-19 immunoglobulin and convalescent plasma are, respectively, gastrointestinal and hepatobiliary disorders;gastrointestinal disorders, neurological disorders, and allergic reactions;and transfusion reactions (fever, chills, etc.). For pathogenesis-oriented therapy with systemic glucocorticosteroids, the most characteristic ADR is hyperglycaemia. Janus kinase inhibitors and interleukin inhibitors are most often associated with gastrointestinal disorders and hypertransaminasemia;neutropenia is also characteristic of a number of interleukin inhibitors. Haemostatic adverse reactions to anticoagulants depend on the patient's dosing regimen and condition. Drug-drug interactions are a common problem in COVID-19 treatment, with the combination of nirmatrelvir and ritonavir showing the largest number of significant interactions attributed to their pharmacokinetics. Currently, there is data on the role of pharmacogenetic biomarkers in the safety and clinical outcomes of COVID-19 therapy. Thus, to improve the safety of COVID-19 therapy, an integrated approach is needed that will take into account both the clinical, demographic, and pharmacogenetic predictors of ADRs and the risk of drug-drug interactions.Copyright © 2023 Safety and Risk of Pharmacotherapy. All rights reserved.

Social Contacts and Compliance with SARS-CoV-2 Distancing Measures in the First Lockdown 2020 among Refugees from Syria and Afghanistan in Vienna

The article deals with the impact of the SARS-CoV-2 pandemic and related measures on the social interactions of refugees from Afghanistan and Syria in Vienna during the first lockdown in March/April 2020. The focus is on the challenges for these vulnerable groups in the field of tension between the contact minimisation prescribed in the Corona regulations of the federal government on the one hand and cramped housing conditions, precarious labour market positions, homeschooling and the "digital divide” on the other. Further focal points are how refugees deal with the measures of "social/physical distancing”, its consequences in view of the colliding cultural norms, the extent of contact reduction and its causal factors. The empirical basis was provided by a quantitative online survey and qualitative interviews with refugees as well as experts from refugee support NGOs and organisations from both groups of origin, who were involved in the underlying project within the framework of a community-based participatory approach. Contrasting with the criticism sometimes voiced in the media that primarily certain groups with a migration background have been less compliant with the measures to contain the pandemic, a more differentiated picture is drawn. Above all, the factors of family status, age and housing conditions have had a strong influence on compliance with the distancing measures. The inaccessibility of public space, which is a particularly important resource for the refugees, as well as the discontinuation of social services offered by NGOs have particularly affected these vulnerable groups. © 2022 Austrian Geographical Society. All rights reserved.

Enumerating happiness index during COVID-19 lockdowns using artificial intelligence techniques

Happiness index is an all-inclusive methodology to assess well-being and happiness aspects of human resilience and sustainability. Pandemic like COVID-19 has brought deep level changes to human lifestyle and social behaviours. The world has been reshaped and life has more than likely changed permanently. This has led to calls for mental health, yet there is a dire need to introspect the mental state of health and behavioural changes. Happiness index is calculated based on factors such as GDP, freedom to make choice, health life expectancy and social support. These factors are analysed using datasets from social media with machine learning algorithms to map human response to the pandemic. This research focuses on use of artificial intelligence on the impact of lockdowns due to COVID-19 on the global happiness index.

Local Factors and COVID-19 Severity: Typological Analysis of Urban Districts in Russia

The COVID-19 pandemic has demonstrated that the lack of consideration of the local specifics of territories, such as the specifics of socio-economic interactions, labor market characteristics, leads to serious social or economic consequences when developing response measures to epidemiological threats. The creation of a typology of territories (urban districts / okrugs) makes it possible to more accurately select measures to regulate socio-economic interactions in the event of future complications of the epidemiological situation. Clustering of municipalities according to a set of local factors that significantly explain the severity of the pandemic in the first year made it possible to identify three types of urban districts that differ in population size and intensity of socio-economic interactions (SEI): these are key service centers with a high intensity of SEI, local centers with medium SEI intensity, small towns with low SEI intensity. © 2023 Spatial Economics. All rights reserved.

LIVED EDUCATIONAL EXPERIENCE OF YOUNG ADULTS WITH CHILDHOOD- AND ADULT-ONSET SYSTEMIC LUPUS ERYTHEMATOSUS: A MULTI-CENTER CANADIAN QUALITATIVE STUDY

BackgroundEducation and employment established in young adulthood predict future lifetime socioeconomic achievements. Young adults with Systemic Lupus Erythematosus (SLE) have physical, cognitive and mental health issues and other comorbidities that may impact employment.ObjectivesTo understand the lived experiences of young adults with SLE (YASLE), as students, and to assess their perceived barriers from SLE.MethodsYASLE were recruited from two Lupus clinics in Toronto and Winnipeg. Semi-structured qualitative interviews were conducted individually via secure video conferencing. As this study was conducted during the coronavirus pandemic, participants were also asked about the pandemic impacts on their education experiences. All interviews were transcribed verbatim, double-coded and analysed using a reflexive thematic approach.ResultsTwelve participants (2 males), 9 of childhood- and 3 adult-onset SLE (cSLE, aSLE) were interviewed. Nine participants (82%) were <25 years old. Five also worked while studying. Five were Asians, 5 were White, 2 of other ethnicities. Half have severe disease (central nervous system or renal involvement). Median duration of disease was 4.0 (25th-75th percentile, 1.8- 5.3) years. The impacts of SLE on their education experience emerged in 5 themes:1) Challenges imposed by SLE: Difficulties adjusting to the diagnosis, physical and cognitive symptoms of SLE. While most participants disclosed their diagnosis to their schools, some expressed hesitation.2) Changes in aspirations: Education/career goals were modified by reducing course load or shifting to more sedentary or less cognitively demanding careers.3) Coping and acceptance: More adaptive than maladaptive coping strategies were used to manage their SLE, including self-acceptance, pacing, planning and avoidance. All strived to do well in their studies despite SLE and were hopeful for their futures.4) Facilitating factors for education success: Family and friends' social support, individualized accommodations from school and parental financial support were identified.5) Pandemic impacts: Virtual learning and flexible schedules enabled participants to adapt their schedules according to their physical conditions (e.g. pain, fatigue). However, fewer opportunities to interact in-person were viewed as challenges. Participants want hybrid options to continue even after the pandemic.ConclusionSLE affected students' performance through physical symptoms, fatigue and cognitive dysfunction. Ongoing social and school supports help to support them. Maintaining the remote learning options may increase accessibility for them. These results identified opportunities for developing future supportive interventions for YASLE patients in their schooling which then better prepare them for future employment.References[1]Jetha A, Badley E, Beaton D, Fortin PR, Shiff NJ, Gignac MA. Unpacking early work experiences of young adults with rheumatic disease: an examination of absenteeism, job disruptions, and productivity loss. Arthritis care & research. 2015;67:1246-54.[2]E. F Lawson, A. O. Hersh, L. Trupin, E. von Scheven, M. J. Okumura, J. Yazdany, et al. Educational and vocational outcomes of adults with childhood and adult onset systemic lupus erythematosus: nine years of follow-up. Arthritis Care Res 2014;66: 717-24.Acknowledgements:NIL.Disclosure of InterestsMike Golding: None declared, Fareha Nishat: None declared, Kaitlyn Merrill: None declared, Ramandeep Kaur: None declared, Jennifer Stinson: None declared, Jennifer Protudjer Speakers bureau: Nutricia (Food allergy university, Nov 2022), Consultant of: Novartis 2021, allergy products, Roberta Woodgate: None declared, Christine Peschken: None declared, Diane Lacaille: None declared, Umut Oguzoglo: None declared, Zahi Touma: None declared, Lily Lim Speakers bureau: Pfizer Feb 2023. Not drug related and not related to this .

Trust is crucial in lockdown—and beyond

Loss of income and education, unemployment, uncertainty, social isolation, and domestic violence are just some of the emerging negative outcomes of the mass closure of businesses and schools, with disproportionate effect on people with fewer resources and poorer health, they say. John Appleby says the data are incomplete, too uncertain, and too fast moving to support reliable conclusions (doi:10.1136/bmj.m1607), a concern echoed by Sheila Bird, who says the UK's reporting of swab tests is "a travesty of science” (doi:10.1136/bmj.m1664). Sufficient capacity for this crucial element of communicable disease control is one of the three criteria set out in the joint European road map towards lifting restrictions (doi:10.1136/bmj.m1549), yet it doesn't feature among the UK government's five tests.

Pharmacokinetic evaluation of drug-drug interactions in the treatment of COVID-19.

Objective: The COVID-19 pandemic, which started in Wuhan, China and affected the whole world, still represents a unique global challenge with its contagiousness and lethality. The symptoms of COVID-19 patients may differ depending on the severity of the disease. According to the report published by the Ministry of Health Coronavirus Research Advisory Board on the diagnosis, treatment and control of COVID-19, drug combination therapy (hydroxychloroquine, lopinavir / ritonavir and favipiravir) is recommended by health authorities. Drug-drug interaction is a possible situation as a result of simultaneous use of these drugs, which are metabolized by cytochrome P 450 enzymes (CYP), which are mostly found in the liver, with some other drugs. In this review, we aimed to show the pharmacokinetic drug-drug interactions of the drugs used in the treatment of COVID-19, especially by indicating the metabolism pathways. Result and Discussion: The COVID-19 pandemic adversely affects social life, economic and financial markets worldwide. Appropriate treatment protocols are of great importance but taking drug-drug interactions into account in treatment practices prevents unwanted results in patient treatment.Copyright © 2021 University of Ankara. All rights reserved.

Future time perspective and leisure activities during the COVID-19 pandemic period

This study examines the effect of future time perspective and risk attitude on leisure activities during the COVID-19 pandemic period, using the data from the 2020 Taiwan Social Change Survey. We show that people with high future time perspective tend to reduce the frequency of out-of-home leisure activities, whereas increase at-home online activities. The results indicate that, other than risk consideration, how people sense time plays a crucial role on the choices of leisure activities.

Aligning Medical Monitoring and Data Science

COVID-19 creates unique challenges for medical monitors The clinical research community is experiencing unprecedented challenges when it comes to treating COVID-19 and its associated symptoms, particularly tracking the impact of offlabel use of existing medicines, repurposed drugs, new standard of care protocols, and new therapies under investigation. To protect patients' safety throughout the course of a study in this environment, the role of medical monitoring should be redefined from an analog process perspective that heavily relies on reviewing spreadsheets, to utilizing modern review methodologies that focus on data science. To adapt to this need, medical monitoring needs to move from data handling in silos using old-school methods to new methods that enable the synchronous interaction of data monitors with stakeholders who handle data.

Identification of host factors that bind to the 5 ' end of the MERS-CoV RNA genome

Plain language summaryMERS-CoV is a virus that causes a severe illness in the nose, mouth and throat of humans. It is a zoonotic virus, which means that it can spread from animals to humans. MERS-CoV was first found in Saudi Arabia in 2012 and continues to pose a threat to public health. Interactions between the virus and human cells and proteins are important to establishing infection. Understanding these interactions is important for the development of drugs to treat viral infections. Here, we have identified some proteins that interact with MERS-CoV. Tweetable A proteomic approach for the identification of cellular proteins that interact with the 5 '-terminal region of MERS-CoV RNA genome. #MERS-CoV #RNA_viruses. Aim: The aim of this study was to identify host factors that interact with the 5 ' end of the MERS-CoV RNA genome. Materials & methods: RNA affinity chromatography followed by mass spectrometry analysis was used to identify the binding of host factors in Vero E6 cells. Results: A total of 59 host factors that bound the MERS-CoV RNA genome in non-infected Vero E6 cells were identified. Most of the identified cellular proteins were previously reported to interact with the genome of other RNA viruses. We validated our mass spectrometry results using western blotting. Conclusion: These data enhance our knowledge about the RNA-host interactions of coronaviruses, which could serve as targets for developing antiviral therapeutics against MERS-CoV.

Online Availability of a Robot Therapy for Children with Autism

In this paper we will present a case in which a robot therapy for children with autism was transferred from clinic to home conditions. The developed application enables the children to continue with the interventions in home conditions. This proved especially important in the COVID-19 pandemic. The application also allows monitoring of the child's activities, through which the therapist can later analyze the patient's behavior and offer appropriate therapy. The application shows reliable results and gives promise to develop beyond the user case we are considering. © 2023 IEEE.

The Pivotal Role of Galectin-3 in Viral Infection: A Multifaceted Player in Host-Pathogen Interactions.

Galectin-3 (Gal-3), a beta-galactoside-binding lectin, plays a pivotal role in various cellular processes, including immune responses, inflammation, and cancer progression. This comprehensive review aims to elucidate the multifaceted functions of Gal-3, starting with its crucial involvement in viral entry through facilitating viral attachment and catalyzing internalization. Furthermore, Gal-3 assumes significant roles in modulating immune responses, encompassing the activation and recruitment of immune cells, regulation of immune signaling pathways, and orchestration of cellular processes such as apoptosis and autophagy. The impact of Gal-3 extends to the viral life cycle, encompassing critical phases such as replication, assembly, and release. Notably, Gal-3 also contributes to viral pathogenesis, demonstrating involvement in tissue damage, inflammation, and viral persistence and latency elements. A detailed examination of specific viral diseases, including SARS-CoV-2, HIV, and influenza A, underscores the intricate role of Gal-3 in modulating immune responses and facilitating viral adherence and entry. Moreover, the potential of Gal-3 as a biomarker for disease severity, particularly in COVID-19, is considered. Gaining further insight into the mechanisms and roles of Gal-3 in these infections could pave the way for the development of innovative treatment and prevention options for a wide range of viral diseases.

SARS-CoV-2 NSP13 interacts with host IRF3, blocking antiviral immune responses.

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), poses an unprecedented threat to human health since late 2019. Notably, the progression of the disease is associated with impaired antiviral interferon (IFN) responses. Although multiple viral proteins were identified as potential IFN antagonists, the underlying molecular mechanisms remain to be fully elucidated. In this study, we firstly demonstrate that SARS-CoV-2 NSP13 protein robustly antagonizes IFN response induced by the constitutively active form of transcription factor IRF3 (IRF3/5D). This induction of IFN response by IRF3/5D is independent of the upstream kinase, TBK1, a previously reported NSP13 target, thus indicating that NSP13 can act at the level of IRF3 to antagonize IFN production. Consistently, NSP13 exhibits a specific, TBK1-independent interaction with IRF3, which, moreover, is much stronger than that of NSP13 with TBK1. Furthermore, the NSP13-IRF3 interaction was shown to occur between the NSP13 1B domain and IRF3 IRF association domain (IAD). In agreement with the strong targeting of IRF3 by NSP13, we then found that NSP13 blocks IRF3-directed signal transduction and antiviral gene expression, counteracting IRF3-driven anti-SARS-CoV-2 activity. These data suggest that IRF3 is likely to be a major target of NSP13 in antagonizing antiviral IFN responses and provide new insights into the SARS-CoV-2-host interactions that lead to viral immune evasion.