Exploring pandemic metaphors in educational contexts: a survey on the language of teachers and educators in Reggio Emilia, Italy.

This study aimed to explore how metaphors were used to interpret the pandemic and to address its challenges in primary and secondary schools in Reggio Emilia, Italy. A questionnaire was administered to educators and teachers to understand how languages, images, and metaphors were used by themselves and their students to talk about the pandemic and their experiences of living with it. The goal of the questionnaire was to guide critical reflection and encourage more informed language choices. While the existing literature points out the alleged overuse of war metaphors and military frames in public discourse, our findings show that war metaphors are relatively frequent, with other metaphorical frames widely used by teachers and educators to foster resilient attitudes in students. Moreover, in their professional contexts, teachers and educators mostly use metaphorical frames involving resilient attitudes. Our interpretation of the results supports the hypothesis that the purposeful use and deliberate production of metaphors support the choice of metaphors with positive, constructive implications. Finally, some implications of these findings on the theory of metaphor and the methodology of the research are discussed.

Humanistic Effects of COVID-19 Pandemic on the Informal Sector in Zimbabwe

Antecedent evidence suggests that Zimbabwe's informal sector employs 95% of economically active adults. The informal sector closed operations due to COVID 19 lockdowns resulting in loss of income, unemployment and low standard of living. The informal sector lacks a model to use during natural disasters like COVID-19 pandemic. The chapter analyses the humanistic effects of the COVID-19 pandemic on the informal sector in Zimbabwe. The study used the collective five finger theory as a lens to view the phenomena. The researcher adopts a post-positivism paradigm that advocates a mixed-method approach. The chapter uses a descriptive research design to interview officials from the Ministry of Small and Medium Enterprise and Local Authorities and collect quantitative data from 200 informal traders in Gweru. Descriptive statistics were used to analyse quantitative data and thematic analyses for qualitative data. The results revealed that relaxed sector workers' standard of living declined due to business revenue falling. The study recommends adopting the proposed intervention strategies based on the Humanistic-Pandemic-Approach in the Informal sector guided by Ubuntu philosophy. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

The destructiveness of omnipotence and 'perverted containing': Psychoanalytic reflections on the dynamic between Donald Trump and his supporters

This chapter describes a model of 'perverted containing' to explain escalating destructive social processes rooted in phantasies of omnipotence and nourished by unconscious fears of annihilation, using the example of Donald Trump-a prime example of a destructive narcissistic populist who offers omnipotence as salvation. It combines Rosenfeld's theory of destructive narcissism and Bion's theory of the container/contained to describe the powerful dynamic existing between Trump and his voters in which the omnipotent appeal of the demagogue held his followers in thrall. Trump offers his supporters omnipotence as perverted containing. He embodies omnipotence as a person;therefore, he appears convincing, so people can easily believe in him-especially those who, on an early level of intensive anxieties, feelings of persecution, and longing for symbiosis, prefer to attach themselves to one person. Thus, he accommodates their desires to identify and bond symbiotically with one person in total consensus-without triangulation, without doubting and space to develop individual perception and judgment. In the 2020 COVID-19 crisis, Trump first used his usual means: distortion and denial of reality, self-praise and directing accusations towards the usual 'enemies'. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Older Adults Using Technology for Meaningful Activities During COVID-19: An Analysis Through the Lens of Self-Determination Theory

Restrictions during the COVID-19 pandemic significantly affected people's opportunities to engage in activities that are meaningful to their lives. In response to these constraints, many people, including older adults, turned to digital technologies as alternative ways to pursue meaningful activities. These technology-mediated activities, however, presented new challenges for older adults' everyday use of technology. In this paper, we investigate how older adults used digital technologies for meaningful activities during COVID-19 restrictions. We conducted in-depth interviews with 40 older adults and analyzed the interview data through the lens of self-determination theory (SDT). Our analysis shows that using digital technologies for meaningful activities can both support and undermine older people's three basic psychological needs for autonomy, competence, and relatedness. We argue that future technologies should be designed to empower older adults' content creation, engagement in personal interests, exploration of technology, effortful communication, and participation in beneficent activities. © 2023 ACM.

The impact of COVID-19 prevention and control measures on residential burglary hotspots: A case study of the core urban areas of Beijing

In order to analyze the impact of COVID-19 prevention and control measures on the hotspots of residential burglary, the data of crimes that occurred during the First Level Response period of Major Public Health Emergencies in Beijing in 2020 and the same period in 2019 were collected, and the changes of hotspots during the two periods were compared by using kernel density estimation and predictive accuracy index. Consequently, the environmental features such as street network, point of interest (POI) diversity, crime locations, and repeat victimization in significantly varied hotspot areas were investigated. The results show that: 1) After the outbreak of the pandemic, the occurrence of residential burglary in the core urban areas of Beijing dropped significantly, and daily occurrence of crimes during the First Level Response period in 2020 decreased by 66.8% compared with the same days in 2019. 2) The eight major hotspots that existed in 2019 apparently declined during the corresponding days in 2020, five of them basically disappeared, and three hotspots weakened. 3) The declined hotspots were generally clustered around traffic hubs, areas with high diversity of POIs, clustered crimes, and repeat victimizations. 4) Home isolation and social restriction strategies implemented during the First Level Response period reduced the opportunities of offenders, and the real-name inspection adopted in public places increased the exposure risk of offenders, which are the main reasons for the hotspots decline during the pandemic. This work has some implications for crime prevention and police resources optimization during the pandemic. © 2023, Editorial office of PROGRESS IN GEOGRAPHY. All rights reserved.

Rumor response strategy and rumor behavioral intention: The mediating roles of anxiety on Chinese social media during COVID-19

While social media has grown in popularity in today's society, and has facilitated the dissemination of accurate and valuable information, it also raises the equally pressing concern of rampant proliferation of rumors and false news. The recent global outbreak of COVID-19 witnessed the explosion of fake and misleading health rumors in social media. Governments are tasked with providing the public with the right information to influence their behavior and engagement in emergency decision-making and optimally address the risks of rumor influence. Therefore, it is important to choose an appropriate response strategy in a rumor-induced health crisis. This study has two main objectives: to identify effective rumor response strategies by the government to stem the spread of rumor during a health crisis, and to examine the role of anxiety in this process using the Situational Crisis Communication Theory (SCCT). Online quasi-experimental data was collected from 245 Chinese participants who were exposed to a false social media rumor that potato chips could spread COVID-19 and were randomly assigned to one of three rumor response strategies (denial, refute or attack). According to the one-way ANOVA results, the effect of the refute response on rumor-related behavior is the most positive, whereas the effects of denial and attack are not significantly different. The results of the mediation model using PROCESS Macro reveal that anxiety partially mediates the relationship between rumor response strategies and rumor-related behaviors (rumor dissemination intentions and behavior intention to consume products);the refute strategy reduces public anxiety and has a positive effect on public behavioral intentions. This study is relevant to COVID-19 rumor research with regard to government rumor response strategies on social media using data-based descriptive and quantitative analysis. © SEARCH Journal 2023.

A hybrid metaheuristic algorithm for the multi-objective location-routing problem in the early post-disaster stage

Disasters such as earthquakes, typhoons, floods and COVID-19 continue to threaten the lives of people in all countries. In order to cover the basic needs of the victims, emergency logistics should be implemented in time. Location-routing problem (LRP) tackles facility location problem and vehicle routing problem simultaneously to obtain the overall optimization. In response to the shortage of relief materials in the early post-disaster stage, a multi-objective model for the LRP considering fairness is constructed by evaluating the urgency coefficients of all demand points. The objectives are the lowest cost, delivery time and degree of dissatisfaction. Since LRP is a NP-hard problem, a hybrid metaheuristic algorithm of Discrete Particle Swarm Optimization (DPSO) and Harris Hawks Optimization (HHO) is designed to solve the model. In addition, three improvement strategies, namely elite-opposition learning, nonlinear escaping energy, multi-probability random walk, are introduced to enhance its execution efficiency. Finally, the effectiveness and performance of the LRP model and the hybrid metaheuristic algorithm are verified by a case study of COVID-19 in Wuhan. It demonstrates that the hybrid metaheuristic algorithm is more competitive with higher accuracy and the ability to jump out of the local optimum than other metaheuristic algorithms.

Research progress of antiviral material basis and mechanism of Compound Qinlan Oral Liquid.

Compound Qinlan Oral Liquid (,CQOL) is derived from Yinqiao San (), which is composed of Jinyinhua (Lonicerae Japonicae Flos), Huangqin (Scutellariae Radix), Lianqiao (Forsythiae Fructus) and Banlangen (Isatidis Radix). It is a common clinical herbal medicine for clearing heat and detoxification, and has antiviral effects. By reviewing the active ingredients of CQOL and the research progress on its anti-influenza virus and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) efficacy, with view to providing a basis for the clinical use of CQOL in treatment of respiratory diseases caused by SARS-CoV-2.Copyright © 2023 Editorial Office of Chinese Traditional and Herbal Drugs. All rights reserved.

An integrative framework for building organizational resilience through environmental scanning: a view of organizational information processing theory: MRN

PurposeThis study aims to investigate the impact of environmental scanning on organizational resilience through the mediation of organizational learning and innovation based on organizational information processing theory (OIPT) within Egyptian small and medium enterprises (SMEs) during the COVID-19 pandemic.Design/methodology/approachThis study adopted a cross-sectional design to collect the data used to carry out mediation analysis. A self-administered questionnaire was used to collect data from a sample consisting of 249 Egyptian SMEs. The smart partial least square structural equation modeling (PLS-SEM) technique was adopted to test the hypotheses.FindingsEnvironmental scanning does not have a direct effect on organizational resilience. However, organizational learning and innovation fully mediate the relationship between environmental scanning and organizational resilience.Research limitations/implicationsThe sample size was small, covering only Egyptian manufacturing SMEs. The results may differ in the service sector and other countries. The study was cross-sectional which is limited to tracing the long-term effects of environmental scanning, organizational learning and innovation on organizational resilience. Accordingly, a longitudinal study may be undertaken.Practical implicationsManagers in Egyptian SMEs should use signals from environmental scanning activities as input for learning and transforming business processes through innovation to develop organizational resilience.Originality/valueThis study is the first to investigate the role of environmental scanning in building organizational resilience through organizational learning and innovation based on the perspective of OIPT within Egyptian SMEs during the COVID-19 crisis.

Monitoring and Early Warning of SMEs' Shutdown Risk under the Impact of Global Pandemic Shock

The COVID-19 outbreak devastated business operations and the world economy, especially for small and medium-sized enterprises (SMEs). With limited capital, poorer risk tolerance, and difficulty in withstanding prolonged crises, SMEs are more vulnerable to pandemics and face a higher risk of shutdown. This research sought to establish a model response to shutdown risk by investigating two questions: How do you measure SMEs' shutdown risk due to pandemics? How do SMEs reduce shutdown risk? To the best of our knowledge, existing studies only analyzed the impact of the pandemic on SMEs through statistical surveys and trivial recommendations. Particularly, there is no case study focusing on an elaboration of SMEs' shutdown risk. We developed a model to reduce cognitive uncertainty and differences in opinion among experts on COVID-19. The model was built by integrating the improved Dempster's rule of combination and a Bayesian network, where the former is based on the method of weight assignment and matrix analysis. The model was first applied to a representative SME with basic characteristics for survival analysis during the pandemic. The results show that this SME has a probability of 79% on a lower risk of shutdown, 15% on a medium risk of shutdown, and 6% of high risk of shutdown. SMEs solving the capital chain problem and changing external conditions such as market demand are more difficult during a pandemic. Based on the counterfactual elaboration of the inferred results, the probability of occurrence of each risk factor was obtained by simulating the interventions. The most likely causal chain analysis based on counterfactual elaboration revealed that it is simpler to solve employee health problems. For the SMEs in the study, this approach can reduce the probability of being at high risk of shutdown by 16%. The results of the model are consistent with those identified by the SME respondents, which validates the model.

Concept Drift Adaptation Methods under the Deep Learning Framework: A Literature Review

With the advent of the fourth industrial revolution, data-driven decision making has also become an integral part of decision making. At the same time, deep learning is one of the core technologies of the fourth industrial revolution that have become vital in decision making. However, in the era of epidemics and big data, the volume of data has increased dramatically while the sources have become progressively more complex, making data distribution highly susceptible to change. These situations can easily lead to concept drift, which directly affects the effectiveness of prediction models. How to cope with such complex situations and make timely and accurate decisions from multiple perspectives is a challenging research issue. To address this challenge, we summarize concept drift adaptation methods under the deep learning framework, which is beneficial to help decision makers make better decisions and analyze the causes of concept drift. First, we provide an overall introduction to concept drift, including the definition, causes, types, and process of concept drift adaptation methods under the deep learning framework. Second, we summarize concept drift adaptation methods in terms of discriminative learning, generative learning, hybrid learning, and others. For each aspect, we elaborate on the update modes, detection modes, and adaptation drift types of concept drift adaptation methods. In addition, we briefly describe the characteristics and application fields of deep learning algorithms using concept drift adaptation methods. Finally, we summarize common datasets and evaluation metrics and present future directions.

Engaging university students in online learning: a regional comparative study from the perspective of social presence theory

This study investigates the factors influencing university students' online learning engagement from three distinct aspects, namely, behavioural, cognitive and emotional engagement. A comparison is drawn from university students in Asia who embraced online learning during the COVID-19 pandemic. An online survey was conducted on 495 university students in Mainland China, Hong Kong and Malaysia during the surge of the COVID-19 Omicron variant, which was considered more infectious but less deadly than previous variants. A consistent positive relationship between Satisfaction and Academic Performance is found in all the regions. Malaysia presents a unique situation as compared to Mainland China and Hong Kong whereby no association was found between Social Context and Online communication towards Student Engagement. The novelty of this study is attributed to the integration of Social Presence Theory in Student Engagement through the nature of online learning as a coping strategy to halt the spread of COVID-19 during the Omicron variant surge. © 2023, Beijing Normal University.

Social Distance with Tourists in U.S. Counties with the Highest Historical Numbers of Reported COVID-19 Cases

With destinations steadily ‘opening back up for business' (while COVID-19 cases are still high in many areas), there is an increasing need to consider residents. Integrating the cognitive appraisal theory and the affect theory of exchange, this work tests a structural model examining the degree to which residents' perceptions of COVID-19 precautionary measures explain emotions directed toward visitors, and ultimately their willingness to engage in shared behaviors with tourists. Data were collected from 530 residents in 25 U.S. counties with the highest percentages of historical COVID-19 cases per population. A total of 10 of the 12 tested hypotheses were significant, contributing to 60% and 85% of the variance explained in contending and accommodating emotions, and 53% and 50% of the variance explained in engaging in less intimate–distal and more intimate–proximal behaviors with tourists. The implications highlight the complementary use of the two frameworks in explaining residents' preference for engagement in less intimate–distal interactions with tourists.

Black Lives Experiencing Homelessness Matter: A Critical Conceptual Framework for Understanding How Policing Drives System Avoidance among Vulnerable Populations

This paper examines racialized encounters with the police from the perspectives of people experiencing homelessness in San Diego, California in 2020. By some estimates, homelessness doubled in San Diego during the first year of the COVID-19 pandemic. We conducted a survey of (n = 244) and interviews with (n = 57) homeless San Diegans during initial shelter-in-place orders, oversampling for Black respondents, whose voices are often under-represented despite high rates of homelessness nationally. Our respondents reported high rates of police contact, frequent lack of respect;overt racism, sexism, and homophobia;and a failure to offer basic services during these encounters. Centering our Black respondents' experiences of criminalization and racism in what Clair calls "criminalized subjectivity," we develop a conceptual framework that brings together critical theoretical perspectives on the role of race in the governance of poverty and crime. When people experiencing extreme poverty face apathy, disrespect, and discrimination from police—as our data show—the result is a reluctance to seek services and to engage with outreach when offered. This reinforces stereotypes of unhoused people as not "wanting" help or "choosing" to be homeless. We reflect on these findings and our framework for envisioning a system of public safety that supports and cares for—rather than punishes—the most vulnerable members of our society. [ FROM AUTHOR] Copyright of Public Integrity is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Port strategy and performance: empirical evidence from major container ports and implications for role of data analytics

Container ports operate in more challenging and volatile environments at present times. Events such as US-China trade tensions and the COVID-19 pandemic severely affect numerous container ports at various levels. Strategies pursued by container ports are key to port development and management amidst these challenges. Drawing on configuration theory, this research employs Fuzzy-set Qualitative Comparative Analysis to investigate the relation between port strategies and container throughput. The research contributes to the literature by proposing an approach to account for complexity of the port sector and offers insights into strategies adopted by major container ports. The research further identifies 10 port strategies and proposed indicators that can represent the essence of these strategies. Being able to represent strategies in a quantitative format is important for strategy analysis and performance evaluation. Results reveal that major container ports employ a combination of strategies which address both the supply and demand-side aspects of the port business. Growing digitalization and digitization coupled with advancements in information capture, diagnostics capabilities and predictive abilities means a greater role for data analytics to influence container port strategy and performance. Implications for port managers, policy makers and researchers from the perspective of port policy and management are proposed.

Hashtag framing and stakeholder targeting: An affordance perspective on China's digital public diplomacy campaign during COVID-19

Social media platforms such as Twitter provide opportunities for governments to connect to foreign publics and influence global public opinion. In the current study, we used social and semantic network analysis to investigate China's digital public diplomacy campaign during COVID-19. Our results show that Chinese state-affiliated media and diplomatic accounts created hashtag frames and targeted stakeholders to challenge the United States or to cooperate with other countries and international organizations, especially the World Health Organization. Telling China's stories was the central theme of the digital campaign. From the perspective of social media platform affordance, we addressed the lack of attention paid to hashtag framing and stakeholder targeting in the public diplomacy literature. [ FROM AUTHOR] Copyright of Journal of Information Technology & Politics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

When life imitates art: Watchlist and the impossible pandemic

Oscar Wilde (1891/1909) declared that it is not Art that imitates Life but Life that imitates Art. What happens when an artistic work, pitched as "soft sci-fi”, predicts something both decidedly unpleasurable and, later, alarmingly prophetic? Such is the case with Watchlist (2020), a new Australian theatrical work written prior to COVID-19, which warns of impending environmental catastrophe and ends with the release of a zoonotic pathogen. The debut production in 2021 was performed amid the global reality of the continuing pandemic which rendered the play a prescient cultural artefact and complicated the audience reception of the work. This study expands from Wilde's concept of counter-mimesis into the theoretical frameworks of Hans Robert Jauss (1982) and Susan Bennett (1997), who provide an alternative to author-centric, practice-led research while laying the blueprint for a dialectical exchange between Life and Art. The dialectical exchange is then explored in the genre of science fiction more broadly, including both literature and franchise filmmaking. Through this analysis, the authors break down the binary of Life and Art, building from Jauss and Bennett, to demonstrate the advantages of this alternative critical vocabulary. © 2023, Australasian Association of Writing Programs. All rights reserved.

Exploring actor-network theory in a volunteer tourism context: A delicate balance disrupted by COVID-19

Drawing from ethnographic fieldwork and using Actor-Network Theory (ANT), the authors trace the interactions of a primary actor and other agents within the context of the volunteer tourist experience at a children's home in Phnom Penh, Cambodia. This paper has two key objectives;first to sketch the volunteer tourism reality as it is shaped by the actions of different actors, and second to showcase how this sensitively balanced ecosystem was significantly disrupted by the Covid-19 pandemic. Staying true to the ANT approach and ‘following the actor' (Latour, 1993), the authors demonstrate how the volunteer tourist setting is relationally reproduced through the incessant alignment of different human and non-human actors and their sometimes conflicting interests and actions. By taking this radical approach, we reveal the need to reconsider the narrative that views all children in orphanages in the global South as victims and pawns of the ‘orphan industrial complex' and how the children's home in the study offers much-needed support to children and people that have no safety net. The study shows that these actors sometimes unknowingly become part of the network and serve a good cause while acting in pursuit of their own interests.

The Relationship between Air Travel Service Quality and Factors of Theory of Planned Behavior: Evidence from Low-Cost Airlines in Thailand

Despite an increased emphasis on improvement in airline service quality concerning consumer behavior, such as passenger repurchasing as a result of their behavioral intention over the last several decades, there is still much less concern with the nature of airline service quality than should exist in the so-called "logistics service quality” and less concern with examining the specific behavioral intention preceding repurchasing behavior together with the theory of planned behavior. As such, this study aims to explore these issues, along with the psychological factors of the theory of planned behavior, that can lead to repurchasing behavior via word-of-mouth intention (WOMI). With an online survey of 383 respondents experienced with flying, the results reveal that the logistics service quality and each determinant in the theory positively influence a passenger's repurchasing behavior through WOMI. Accordingly, service marketers can implement service design and apply integrated marketing communication by learning from repurchasing behavior that was formed by the given factors to retain their existing customers. Moreover, this study is the first to empirically and explicitly validate dimensions of airline services through the lens of logistics that are deemed fit with the nature of the airlines. It advances the understanding of theory approaching and connects what has hampered its advancement in a body of knowledge, simultaneously in a context of airline context where it should not be relegated to transportation and consumer and service orientation.