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.

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.

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.

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.

Social support to mitigate perceived risk: moderating effect of trust

During a crisis period, the transmission of travel information is faster than ever via social media (Wut, T. M., Xu, J. B., & Wong, S.-m. (2021). Crisis management research (1985–2020) in the hospitality and tourism industry: A review and research agenda. Tourism Management, 85, 104307). Social media influencers provide opportunities to mitigate perceived risk and rebuild travel confidence. Based on both customer socialization theory and dual-process theory of cognitive reasoning, we propose that trust would moderate the relationship between social support from social media influencers and perceived risk. The research model was tested using 738 questionnaires collected from Chinese social media users. Findings from statistical analyses have shown significant relationships among the research variables, and the moderating role of cognitive and affective trust was supported. Our findings could provide implications regarding how to utilize social media influencers wisely to mitigate perceived risk in the post-COVID-19 period.

Collaboration in neonatal and paediatric clinical pharmacology: creating a peer-based mentoring platform in a pan-European clinical trial network

IntroductionIn recent years, substantial improvements in clinical trial facilitation have been made through a pan-European network conect4children (c4c), funded by the Innovative Medicines Initiative 2. Within c4c, collaboration and experience-based teaching were attainable due to live meetings and structured social interactions. Since the COVID-19 pandemic, meeting platforms were limited and strictly virtual, creating an artificial communication environment and a gap for young talent to interact and learn.MethodsIn light of c4c's main objective to build strong collaborations and connections between different national clinical trial networks, the younger generation was in need of support. In May 2021, the young investigators community (YIC) platform was launched to facilitate an informal teaching and connecting vehicle. However, interaction with the experienced and leading generation was lacking, in order to mentor the ‘starters' for a durable network.ResultsWithin the first year, the YIC created an open platform in which the 32 members could interact on a regular basis. Topics included involving medical students, how to build and prepare sustainable business plans and working and interacting with industry partners. Inspired by Erasmus+ funded Pathway project and McBride at al (2017) Mentorship profiling, a 4-page intake questionnaire for both mentor and mentee has been designed, that focuses on specific skills and a plan-of-action for the mentorship session, maximizing efficiency of the interaction.ConclusionWithin YIC, a questionnaire was designed to approach mentor and mentee selection, to be used to minimize the gap between young talent and the established community. The method could be beneficial to other national and international network

Games and Play SIG: Connecting Through Social and Playful Technologies

Games have always been popular for connecting people, from local single-player and couch co-op, to massively multiplayer online. Throughout the COVID-19 pandemic, remote games that involved and fostered social interactions and connections were a highlight among strategies for staying connected. For this year's games and play SIG, we come together to discuss the relevant and timely topic of social and playful technologies, and how they can be designed to best foster meaningful social connections over a distance. We bring together attendees from not only the games community, but also those in the broader field of CHI focusing on social and playful technologies. © 2023 Owner/Author.

COVID-19 Math: You, Me, R0 and Rolling Re-entry

Larson discusses the mathematical equation of the Covid-19 pandemic. He offers a mathematical formula to explain the spread, transmission and infection of the Covid-19. He also explains how measures such as social isolation can help protect the most vulnerable population such as the senior citizens and those with chronic medical conditions and asserts that with the significant number of re-openings, if done with meticulous care, will not increase the current value of infections. The author also emphasizes the importance of masks, social distancing and temperature checks and until vaccine is available, everything will be back to normal.

When reality bites: Local deaths and vaccine take-up

In this study, we investigate whether COVID-19 deaths that occurred before vaccination rollouts impact subsequent vaccination take-up. We use data on local vaccination rates and COVID-19-related deaths from England measured at high geographic granularity. We find that vaccination take-up as of November 2021 is positively associated with pre-vaccine COVID-19-related deaths, controlling for demographic, economic, and health-related characteristics of the localities, while including geographic fixed effects. In addition, the share of ethnic minorities in a locality is negatively associated with vaccination rates, and localities with a larger share of ethnic minorities increase their vaccination rates if they are exposed to more COVID-related-deaths. Further evidence on vaccination intention at the individual level from a representative sample corroborates these patterns. Overall, our evidence suggests that social proximity to victims of the disease triggers a desire to take protective measures against it.

Untangling the Integral Impact of Land Use Change, Economic, Ecological and Social Factors on the Development of Burabay District (Kazakhstan) during the Period 1999–2021

Long-term spatiotemporal Land Use and Land Cover (LULC) analysis is an objective tool for assessing patterns of sustainable development (SD). The basic purpose of this research is to define the Driving Mechanisms (DM) and assess the trend of SD in the Burabay district (Kazakhstan), which includes a city, an agro-industrial complex, and a national natural park, based on the integrated use of spatiotemporal data (STD), economic, environmental, and social (EES) indicators. The research was performed on the GEE platform using Landsat and Random Forest. The DM were studied by Multiple Linear Regression and Principal Component Analysis. SD trend was assessed through sequential transformations, aggregations, and integrations of 36 original STD and EES indicators. The overall classification accuracy was 0.85–0.97. Over the past 23 years, pasture area has changed the most (−16.69%), followed by arable land (+14.72%), forest area increased slightly (+1.81%), and built-up land—only +0.16%. The DM of development of the AOI are mainly economic components. There has been a noticeable drop in the development growth of the study area in 2021, which is apparently a consequence of the COVID-19. The upshots of the research can serve as a foundation for evaluating SD and LULC policy.

CRISIS: Cyber-Physical Social Distancing Based on Multi-Modal Data From Mobile Devices

Multi-modal sensors on mobile devices (e.g., smart watches and smartphones) have been widely used to ubiquitously perceive human mobility and body motions for understanding social interactions between people. This work investigates the correlations between the multi-modal data observed by mobile devices and social closeness among people along their trajectories. To close the gap between cyber-world data distances and physical-world social closeness, this work quantifies the cyber distances between multi-modal data. The human mobility traces and body motions are modeled as cyber signatures based on ambient Wi-Fi access points and accelerometer data observed by mobile devices that explicitly indicate the mobility similarity and movement similarity between people. To verify the merits of modeled cyber distances, we design the localization-free CybeR-physIcal Social dIStancing (CRISIS) system that detects if two persons are physically non-separate (i.e., not social distancing) due to close social interactions (e.g., taking similar mobility traces simultaneously or having a handshake with physical contact). Extensive experiments are conducted in two small-scale environments and a large-scale environment with different densities of Wi-Fi networks and diverse mobility and movement scenarios. The experimental results indicate that our approach is not affected by uncertain environmental conditions and human mobility with an overall detection accuracy of 98.41% in complex mobility scenarios. Furthermore, extensive statistical analysis based on 2-dimensional (2D) and 3-dimensional (3D) mobility datasets indicates that the proposed cyber distances are robust and well-synchronized with physical proximity levels. © 2002-2012 IEEE.

Blogged into the System: A Systematic Review of the Gamification in e-Learning before and during the COVID-19 Pandemic

Gamification is becoming more relevant, especially after the start of the COVID-19 pandemic and quarantine. The purpose of our paper is to analyse the changes which occurred in the effects of gamification on e-learning as a result of the COVID-19 quarantine emergence in the spring of 2020. This paper describes the scientific contributions about the game elements most frequently implemented and their effects on those that use e-learning platforms, as well as the factors that contribute to the development of effective gamification in e-learning before and during the pandemic. Drawing upon the PRISMA framework, a number of 103 articles were identified in two databases: the Web of Science and Scopus. This paper discusses the previous works associated with the corpus of knowledge built around gamification in the past decade. This research shows that before the COVID-19 pandemic, even though many papers were written on gamification in education prior to 2019, there is a trend regarding the multiple mentions of using storylines, challenges, or badges in order to create and maintain competition among users, which in turn may influence and increase the level of social interactions and the coalescence of communities.

Contextual Factors and Programme Theories Associated with Implementing Blue Prescription Programmes: A Systematic Realist Review

Nature-based social prescribing such as "blue prescription” promotes public health and health improvement of individuals with long-term health conditions. However, there is limited evidence explaining the relationship of contexts, mechanisms, and outcomes of implementing blue prescription programmes (BPPs) in health and social care settings that could inform policy and practice. We conducted a systematic realist review by searching PubMed, Web of Science, PsycInfo, Scopus, MEDLINE, and CINAHL for articles published in English between January 2000 and June 2022 about health and social care professionals providing referral to or prescription of blue space activities (e.g., swimming, fishing, surfing, etc.) with health-related outcomes. Components and descriptions of BPP implementation were extracted and used to develop themes of contextual factors used to develop programme theories and a logic model demonstrating the mechanisms of BPP implementation. Sixteen studies with adequate to strong quality were included from 8,619 records. After participating in BPPs referred to or prescribed by health and social care professionals, service users had improvements in their physical, cognitive (mental), social health, and proenvironmental knowledge. Service user-related contextual factors were referral information, free equipment, transportation, social support, blue space environments, and skills of service providers. Programme-related contextual factors were communication, multistakeholder collaboration, financing, and adequate service providers. Programme theories on service user enrolment, engagement, adherence, communication protocols, and programme sustainability explain the mechanisms of BPP implementation. BPPs could promote health and wellbeing if contextual factors and programme theories associated with service users' characteristics and programme delivery are considered in the design, delivery, and evaluation of BPPs. Our study was registered with PROSPERO (CRD42020170660).

The impact of social isolation on health and behavior in Drosophila melanogaster and beyond

Many organisms, including humans, have evolved dynamic social behaviors to promote survival. Public health studies show that isolation from social groups is a major risk factor for adverse health outcomes in humans, but these studies lack mechanistic understanding. Animal models can provide insight into the molecular and neural mechanisms underlying how social isolation impacts health through investigations using genetic, genomic, molecular, and neuroscience methods. In this review, we discuss Drosophila melanogaster as a robust genetic model for studying the effects of social isolation and for developing a mechanistic understanding of the perception of social isolation and how it impacts health.

Climate Change Learning at Junior and Senior High Schools on the Outer Islands of Indonesia: The Case on Sebatik Island

Apart from the COVID-19 pandemic, the world is currently under threat due to climate change. Based on the report from the Intergovernmental Panel on Climate Change (IPCC), since 1850 there has been an increase in temperature and sea level so that small islands, especially those that are located at the outermost boundaries of Indonesia, will sink. If this happens, Indonesia's territorial boundaries must be redefined since the outermost islands are marker of its boundaries. The awareness of the people living in the outer islands on environment and climate change is very much needed to cope with the impacts of climate change. Learning on climate change in schools is an important issue. This study analyses the learning process on climate change at junior and senior high school in Sebatik Island, an outer island in North Kalimantan Province which borders with Malaysia. This study was conducted through a qualitative descriptive approach while the data were obtained through interviews and document research. This study found that material on climate change is taught in Social Science subjects in grade VII (junior high school) and grade X (senior high school).

How COVID-19 Displaced Climate Change: Mediated Climate Change Activism and Issue Attention in the Swiss Media and Online Sphere

Issues continuously compete for attention in the news media and on social media. Climate change is one of the most urgent problems for society and (re)gained wide public attention in 2019 through the global climate strike protest movement. However, we hypothesize that the outbreak of the COVID-19 pandemic in early 2020 challenged the role of climate change as a routine issue. We use extensive news media and Twitter data to explore if and how the pandemic as a so-called killer issue has shifted public attention away from the issue of climate change in Switzerland. Results show that the climate debate fell victim to the impact of the COVID-19 pandemic in the news media and the Twitter-sphere. Given the vast dominance of the pandemic, there is a strong indication this finding applies similarly to various other issues. Additional hashtag co-occurrence analysis shows that some climate activists react to this development and try to connect the issue of climate change to the pandemic. We argue that suppression of climate change by the pandemic is a problem for its long-term resolution, as it seems to have turned climate change back into a struggling issue.

Challenges Facing Artificial Intelligence Adoption during COVID-19 Pandemic: An Investigation into the Agriculture and Agri-Food Supply Chain in India

The coronavirus (COVID-19) pandemic has witnessed a significant loss for farming in India due to restrictions on movement, limited social interactions and labor shortage. In this scenario, Artificial Intelligence (AI) could act as a catalyst for helping the farmers to continue with their farming. This study undertakes an analysis of the applications and benefits of AI in agri-food supply chain, while highlights the challenges facing the adoption of AI. Data were obtained from 543 farmers in Odisha (India) through a survey, and then interpreted using "Interpretive Structural Modelling (ISM)”;MICMAC;and "Step-Wise-Assessment and Ratio-Analysis (SWARA)”. Response time and accuracy level;lack of standardization;availability of support for big data;big data support;implementation costs;flexibility;lack of contextual awareness;job-losses;affordability issues;shortage of infrastructure;unwillingness of farmers;and AI safety-related issues are some challenges facing the AI adoption in agri-food supply chain. Implications were drawn for farmers and policy makers.