Psychometric Performance of the Fear of COVID-19 Scale (FCV-19S) and Its Validation in Czechia

The COVID-19 pandemic has brought significant changes to people's lives, causing high levels of anxiety, distress, and fear. In response, the "Fear of COVID-19” scale (FCV-19S) was developed in 2020 to measure the severity of fears related to COVID-19. This study assessed the psychometric properties of the Czech version of the FCV-19S, which was administered to a representative sample of 1372 participants, and confirmatory factor analysis (CFA) was conducted. The sample reflects the structure of a theoretical population aged 15–74 years and is composed of 50% males and 50% females. Moreover, univariate statistics were calculated, internal consistency was tested, and uni-dimensionality based on principal component analysis was performed. In addition, univariate statistical analyses were performed, internal consistency was tested, and univariate consistency was also assessed using principal component analysis. CFA indicated that the scale demonstrated very good standard indices;FCV-19S showed a high level of internal consistency, and it adequately differentiated the levels of fear among diverse subpopulations. The findings suggest that the Czech version of the FCV-19S is a valid and reliable instrument that has robust psychometric properties and can, therefore, be recommended for use in research. The availability of the Czech version of the FCV-19S will contribute to assessments of the impact of the COVID-19 pandemic on the Czech population, providing valuable information in guiding interventions aimed at reducing the negative psychological impacts of the pandemic.

A New Approach to Extracting Tourism Focus Points from Chinese Inbound Tourist Reviews after COVID-19

The number of inbound tourists in Japan has been increasing steadily in recent years. However, due to the COVID-19 pandemic, the number of inbound tourists decreased in 2020. This is particularly worrisome for Japan, as the number of inbound tourists is expected to reach 60 million per year by 2030. In order to help Japan's tourism industry to recover from the pandemic, we propose a method of identifying elements that attract the attention of inbound tourists (focus points) by analyzing reviews on tourist sites. We focus on Hokkaido, a popular area in Japan for tourists from China. Our proposed method extracts high-frequency n-gram patterns from reviews written by Chinese inbound tourists, showing which aspects are mentioned most often. We then use seven types of motivational factors for tourists and principal component analysis to quantify the focus points of each tourist destination. Finally, we estimate the focus points by clustering the n-gram patterns extracted from the tourists' reviews. The results show that our method successfully identifies the features and focus points of each tourist spot.

Enhancing Students' Entrepreneurial Competencies through Extracurricular Activities—A Pragmatic Approach to Sustainability-Oriented Higher Education

Entrepreneurship can provide a creative, disruptive, problem-solving-oriented approach to the current economic, environmental, and social challenges of the world. This article aims to provide an analysis about the way universities can have an impact on developing entrepreneurial competence in students through extracurricular activities. The research relies on a questionnaire survey of students at the University of Petrosani, who participated in a range of entrepreneurial activities both online during the COVID-19 pandemic and face-to-face afterwards. The methodology consisted of applying principal component analysis to reduce the dimensionality of the indicators, followed by classification of the respondents through cluster analysis and training of a feedforward neural network. After finishing the network-training process, the error was minimized, resulting in three classes of respondents. Furthermore, based on the three classes, follow-up conclusions, policies, and decisions can be issued regarding the perception of entrepreneurship at the societal level, which is beneficial for academia and entrepreneurs, as well as for future research undertaken in this field. The key conclusion of our research is that entrepreneurship education is a real facilitator of the transition to sustainable entrepreneurship. Students perceived meeting successful entrepreneurs as being among the most effective extracurricular activities, assessing online activities as useful, and the field of study proved to be an important factor in their entrepreneurial intention.

Characteristics of Urban Traffic Control Measures in China in the Background of COVID-19

The rapid global spread of the coronavirus disease 2019 (COVID-19) is now a reality. China has taken urban traffic control measures to prevent and control the epidemic, but this has prevented the flow of people between cities. This study investigates the mechanism of the impact of urban traffic control measures on the intercity population flow in China using the one-way causal measurement method. The results show that the impact of urban traffic control measures on the intercity flow of the population changes with time. Based on this, this study makes scientific suggestions for the government on how to reasonably undertake traffic control measures. [ FROM AUTHOR] Copyright of Journal of Advanced Computational Intelligence & Intelligent Informatics is the property of Fuji Technology Press 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.)

Barriers to integrating lean construction and integrated project delivery (IPD) on construction megaprojects towards the global integrated delivery (GID) in multinational organisations: lean IPD&GID transformative initiatives

PurposeThe architecture, engineering and construction (AEC) industry encounter substantial risks and challenges in its evolution towards sustainable development. International businesses, multinational AEC organisations, technical professionals, project and portfolio management organisations face global connectivity challenges between business units, especially during the outbreak of novel coronavirus pandemic, to manage construction megaprojects (CMPs). That raises the need to manage global connectivity as a main strategic goal of global organisations. This paper aims to investigate barriers to integrating lean construction (LC) practices and integrated project delivery (IPD) on CMPs towards the global integrated delivery (GID) transformative initiatives and develop future of work (FOW) global initiatives in contemporary multinational AEC organisations.Design/methodology/approachA two-stage quantitative and qualitative research approach is adopted. The qualitative research methodology consists of a literature review to appraise barriers to integrating LeanIPD&GID on CMPs. Barriers are arranged into six-factor clusters (FCs), with a conceptualisation of LeanIPD&GID, GID strategy placements and FOW global initiatives with multiple validations. This analysis also involved semi-structured interviews and focus group techniques. Stage two consisted of an empirical questionnaire survey that shaped the foundation of analysis and findings of 230 respondents from 23 countries with extensive cosmopolitan experience in the construction of megaprojects. The survey examined a set of 28 barriers to integrating LeanIPD&GID on CMPs resulting from a detailed analysis of extant literature after validation. Descriptive and inferential statistical tests were exploited for data analysis, percentage scoring analysis, principal component analysis (PCA) and eigenvalues were used to elaborate on clustered factors.FindingsThe research conceptualised LeanIPD&GID principles and proposed GID strategy placements for LeanIPD&GID transformative initiatives and FOW global initiatives. It concluded that the most significant barriers to integration of LeanIPD&GID on CMPs are "lack of mandatory building information modelling (BIM) and LC industry standards and regulations by governments”, "lack of involvement and support of governments”, "high costs of BIM software licenses”, "resistance of industry to change from traditional working practices” and "high initial investment in staff training costs of BIM”. PCA revealed the most significant FCs are "education and knowledge-related barriers”, "project objectives-related barriers” and "attitude-related barriers”. Awareness of BIM in the Middle East and North Africa (MENA) region is higher than LC and LC awareness is higher than IPD knowledge. Whilst BIM adoption in the MENA region is higher than LC;the second is still taking its first steps, whilst IPD has little implementation. LeanBIM is slightly integrated, whilst LeanIPD integration is almost not present.Originality/valueThe research findings, conclusion and recommendation and proposed GID strategy placements for LeanIPD&GID transformative initiatives to integrating LeanIPD&GID on CMPs. This will allow project key stakeholders to place emphasis on tackling LeanIPD&GID barriers identified in this research and commence GID strategies. The study has provided effective practical strategies for enhancing the integration of LeanIPD&GID transformative initiatives on CMPs.

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.

Genetic Variation of New Purple-Fleshed Sweet Potato (Ipomoea batatas L.) Genotypes in Indonesia by Multivariate Analysis

Purple-fleshed sweet potato (PFSP) is a major staple food and feed material in tropical countries. The pandemic of COVID-19 that encouraged healthy lifestyles worldwide further increases the importance of PFSP. Despite its importance, the investment in research to improve PFSP in Indonesia was left behind. The objective of the research was to estimate the genetic variation and genetic distance of new PFSP genotypes prior to variety release. The research trials were arranged in a randomized block design, with nine new PFSP genotypes from polycrosses breeding as treatments and three check varieties in four growing environments in West Java, i.e., Cilembu, Jatinangor, Maja, and Karangpawitan during one season. Agronomic traits data were analyzed by the multivariate analysis. The principal component analysis (PCA) showed high genetic variation of PFSP in four environments. The eigenvalue ranges from 1.92 to 5.29 in Cilembu which contributed to 80.958% variability, 0.543–6.177 which contributed variability to 92.135% in Jatinangor, 0.824–5.695 in Karangpawitan which contributed to 92.117%, and 0.822–4.797 in Maja which contributed to 86.133%. Storage root length, storage root diameter, number of roots per plant, total root weight per plant, number of marketable/commercial roots, marketable/commercial root weight, number of roots per plot, and total storage root weight have a discriminant value of more than 0.7 in PC 1. Agglomerative hierarchical clustering (AHC) showed a wide distribution obtaining two clusters in Cilembu with euclidean distance 1.92–5.29, Jatinangor 1.72–6.09, Karangpawitan 1.28–6.38, and Maja 2.05–5.09. High genetic variation in the four environments greatly supports to the development of PFSP new varieties. [ FROM AUTHOR] Copyright of International Journal of Agronomy is the property of Hindawi Limited 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.)

A CTS Team Approach to Topological Data Analysis of Electronic Health Records for Subtyping and Clinical Outcomes Prediction in Patients with COVID-19

OBJECTIVES/GOALS: Analysis and modeling of large, complex clinical data remain challenging despite modern advances in biomedical informatics. We aim to explore the potential of topological data analysis (TDA) to address such challenges in the context of COVID-19 outcomes using electronic health records (EHRs). METHODS/STUDY POPULATION: In this work, we develop TDA approaches to characterize subtypes and predict outcomes in patients with COVID-19 infection. First, data for >70,000 COVID-19 patients were extracted from the OneFlorida EHR database. Next, enhancements to the TDA algorithm Mapper were designed and implemented to adapt the technique to this type of data. Clinical variables, including patient demographics, vital signs, and lab values, were then used as input to conduct a population-level exploratory analysis with an emphasis on identifying phenotypic subtypes at increased risk of adverse outcomes such as major adverse cardiovascular events (MACE), mechanical ventilation, and death. RESULTS/ANTICIPATED RESULTS: Preliminary Mapper experiments have produced visual representations of the COVID-19 patient population that are well-suited to exploratory analysis. Such visualizations facilitate easy identification of phenotypic subnetworks that differ from the general population in terms of baseline variables or clinical outcomes. In this and subsequent work, we aim to fully characterize and quantify differences between these subnetworks to identify factors that may confer increased risk (or protection from) adverse outcomes. We also plan to validate and rigorously compare the efficacy of this TDA-based approach to common alternatives such as clustering, principal component analysis, and machine learning. DISCUSSION/SIGNIFICANCE: This work demonstrates the potential utility of TDA for the characterization of complex biomedical data. Mapper provides a novel means of exploring EHR data, which are otherwise difficult to visualize and can aid in identifying or characterizing patient subtypes in diseases such as COVID-19.

The Influence of Building Information Modelling Adoption in the Viability of Medium, Small and Micro Scale Construction Firms (MSMSCFs)

Identifying factors influencing the viability of medium, small, and micro scale construction firms (MSMSCFs) is a crucial precursor in positioning such firms to aid economic and infrastructural development, especially in developing countries. This article assesses viability factors that are influenced by building information modeling (BIM) in MSMSCFs amidst construction firms' viability factors. Out of a total of 177 workers surveyed from 59 MSMSCFs that were awarded construction project contracts in sampled institutions in Nigeria, 65 staff members from 31 MSMSCFs were accessed. The factors were ranked and reduced to significant ones through principal component analysis. Ten significant factors influence the viability of MSMSCFs and six of them are enhanced by BIM implementations. All eight component factors and 18 of the 27 variables with high factor loadings can be influenced by BIM implementation. BIM can potentially curb corruption in construction projects and enhance MSMSCFs' quality of service, clients' satisfaction, construction management and technology, professional performance, procurement practices, and prompt payment of work certificates. All stakeholders need to pay prompt attention to factors that can be influenced by BIM to improve the viability of MSMSCFs, thereby hastening BIM adoption and utilization, especially in developing countries.

Technological, healthcare and consumer funds efficiency: influence of COVID-19

This paper aims to analyze the efficiency of the funds in technological, healthcare, and consumer cyclical sectors based on the U.S. News & World Report rankings. We employed a Principal Component Analysis to select the indicators to explain efficiency. Then, we have used an alternative approach that combines Data Envelopment Analysis (DEA) with Multiple Criteria Decision Aiding, the Value-Based DEA, to assess the efficiency of funds for 1 year (2020), 3 years (2018–2020), and 5 years (2016–2020). The results highlight that in 2020 the number of efficient funds is much smaller than in previous periods and this can be justified by the effect of the COVID-19 pandemic crisis. The sectors with the most efficient funds are technology and healthcare. The factors that determine the efficiency of funds in the health sector and the technology sector are quite different, although they have not undergone major changes in the three periods considered. For managers, health funds are seen as low risk and hardly consider the return factors in all analyzed periods, which is often considered as benchmarks for inefficient funds. In the technology sector, Beta and Alpha are generally the indicators with the greatest weight in fund efficiency, showing that these funds beat the market in terms of returns and are less risky than the benchmark. This study seeks to complete the scarce existing literature on the subject, namely in the sectors under analysis, seeking to identify the indicators that fund managers ponder most to consider a fund as efficient. As far as we know, the joint efficiency analysis of these sectors and the impact they suffered from the COVID-19 pandemic are new in the literature.

Policy Analysis of Low-Carbon Energy Transition in Senegal Using a Multi-Criteria Decision Approach Based on Principal Component Analysis

Senegal has been investing in the development of its energy sector for decades. By using a novel multi-criteria decision analysis (MCDA) based on the principal component analysis (PCA) method, this paper develops an approach to determine the effectiveness of Senegal's policies in supporting low-carbon development. This was determined using six criteria (C1 to C6) and 17 policies selected from the review of Senegal's energy system. In order to determine the optimal weighting of the six criteria, a PCA is performed. In our approach, the best weighted factor is the normalized version of the best linear combination of the initial criteria with the maximum summarized information. Proper weighted factors are determined through the percentage of the information provided by the six criteria kept by the principal components. The percentage of information is statistically a fit of goodness of a principal component. The higher it is, the more statistically important the corresponding principal component is. Among the six principal components obtained, the first principal component (comp1) best summarizes the values of criteria C1 to C6 for each policy. It contains 81.15% of the information on energy policies presented by the six criteria and was used to rank the policies. Future research should take into account that when the number of criteria is high, the share of information explained by the first principal component could be lower (less than 50% of the total variance). In this case, the use of a single principal component would be detrimental to the analysis. For such cases, we recommend a higher dimensional visualization (using two or three components), or a new PCA should be performed on the principal components. This approach presented in our study can serve as an important benchmark for energy projects and policy evaluation.

Mutual Effects of Zinc Concentration and Ratio of Red-Blue Light on Growth and Nutritional Quality of Flowering Chinese Cabbage Sprouts

The nutritional quality and biomass of various sprouts can be enhanced by Zn and red-blue light, especially the Brassica sprouts. However, the combined effects of this two on sprouts are rarely reported. In this study, different Zn concentrations (0, 1.74, 3.48, 10.43 and 17.39 mM) were combined with two ratios of red-blue light-emitting diodes (LEDs) (R: B = 1:2, 1R2B;R: B = 2:1, 2R1B, at 70 μmol m−2 s−1 PPFD, 14 h/10 h, light/dark) to investigate their mutual effects on the growth, mineral elements, and nutritional quality in flowering Chinese cabbage sprouts (FCCS). Fresh weight, dry weight, contents of organic Zn, soluble sugar, vitamin C, total flavonoids, total polyphenol, FRAP (ferric ion-reducing antioxidant power) and DPPH (radical inhibition percentage of 1,1-diphenyl-2-picrylhydrazyl) were significantly increased by Zn supplement (10.43 and 17.39 mM) and 2R1B, while hypocotyl length and moisture content were decreased remarkably by Zn supplement. Total glucosinolates contents in the sprouts increased dramatically under 2R1B compared with 1R2B, while photosynthetic pigments contents decreased. Heat map and principal component analysis showed that 2R1B + 17.39 mM Zn was the optimal treatment for the accumulation of biomass and health-promoting compound in FCCS, suggesting that a suitable combination of light quality and Zn supplement might be beneficial to zinc-biofortified FCCS production.

ICT Usage in Enterprises in the Years 2010-2019 - Poland in Comparison with Other European Union Countries

Według Eurostatu termin technologie informacyjne i komunikacyjne (ICT), „obejmuje wszystkie środki techniczne stosowane do obsługi informacji i pomocy w komunikacji. Dotyczy to [...] sprzętu komputerowego i sieciowego, a także ich oprogramowania". Zarówno w ujęciu globalnym, jak i lokalnym wpływ ICT na gospodarkę i społeczeństwo jest ogromny. Zintensyfikowanie wykorzystania ICT w przedsiębiorstwach jest czynnikiem stymulującym wzrost go - spodarczy, wzmacnia konkurencyjność oraz innowacyjność biznesu, ma coraz większy wpływ na rynek pracy, podnosi zapotrzebowanie na kompetencje cyfrowe i specjalistów ICT. Sektor ICT jest obecnie najszybciej rozwijającym się, a jego wartość ma coraz znaczniejszy udział w PKB. Monitorowanie rozwoju wykorzystania ICT i analizowanie ich wpływu na rozwój gospodarczy i społeczny są kluczowe dla wszystkich rządów i władz lokalnych, by rozumieć transformacje, jakie wywołują te technologie oraz by formułować skuteczną politykę. Technologie informacyjne i komunikacyjne kształtują kierunek rozwoju współczesnego biznesu, przede wszystkim poprzez zwiększanie innowacyjności przedsiębiorstw, a dalej ich konkurencyjności. Głównym celem artykułu było zbadanie wykorzystania ICT w przedsiębiorstwach w Polsce na tle innych krajów Unii Europejskiej w latach 2010-2019 (przed pandemią COVID-19 oraz brexitem). Analizy oparto na danych dotyczących wykorzystania ICT w przedsiębiorstwach, publikowanych w bazach Eurostatu. Zmienne wybrano na podstawie przeglądu literatury oraz kryterium dostępności i kompletności danych. Zastosowano metody eksploracyjnej analizy wielowymiarowej: międzygrupową i wewnątrzgrupową analizę głównych składowych, jako że zbiór danych występuje w ujęciu trójwymiarowym (obiekty x zmienne x czas) w postaci tzw. kostki danych. Do prezentacji wyników wykorzystano mapy czynnikowe. We wszystkich krajach UE w latach 2010-2019 zaobserwowano systematyczne zintensyfikowanie wykorzystania ICT przez podmioty gospodarcze. Niestety, pomimo pozytywnego trendu Polska pozostała daleko za liderami UE i znalazła się w grupie tych krajów członkowskich, w których przedsiębiorstwa w najmniejszym stopniu wykorzystywały technologie informacyjno-komunikacyjne.Alternate :As Eurostat's glossary explains, the term Information and Communication Technologies (ICT): covers all technical means used to handle information and aid communication. This includes both computer and network hardware, as well as their software.' In both local and global perspective, the ICT impact on modern economies and societies is undeniable. Moreover, it is growing, as the usability and technical capabilities are expanding. The researchers recognised that the ICT expansion in enterprises is a stimulant for economic de - velopment, as it strengthens competitiveness and innovation. Its impact on labour markets is significant, and constantly increasing demand for digital competences and ICT specialists can be observed. In both global and local perspective, the ICT sector is growing dynamically along with its value share in GDP. Monitoring the development of ICT usage as well as analysing how it stimulates socio-economic transformations and growth are crucial for global leaders, governments and local authorities all over the world in order to formulate policy at all levels. Also, it plays a significant role in modern businesses expansion, as it strengthens innovativeness and competitiveness. The main objective of the paper is to study the ICT usage development in Poland against other EU countries from the enterprises' perspective in the years 2010-2019 (before the COVID-19 pandemic and Brexit). The research presented was based on Eurostat data. The variables were selected on the basis of the literature review on ICT usage, as well as the criterion of data availability and comprehensiveness. The exploratory data analysis methods dealing with three-way data structures, i.e. the between and within-class principal component analysis, were used, and the pre entation of the results was supported by factorial maps (scatterplots and biplots). In the analysed period, enterprises in all the European Union Member States intensified their ICT usage. Despite the positive trend from 2010 to 2019, Poland remained far behind the leading countries, and more precisely, was in the group of the least developed ones.

Forced telecommuting during the COVID-19 lockdown: the impact on corporate culture in Spain and Kazakhstan

PurposeThis paper studied organizational culture in two different countries during the COVID-19 lockdown, a stressful social and labor context that obliged entire working populations to telecommute from home. We considered how people have coped with this new scenario, bearing in mind that one of the most relevant aspects of organizational culture and climate is the face-to-face interactions that take place in offices. With telework, that important physical relationship disappears and, since body language has its own grammar, work-related messages logically become open to misunderstanding between leaders and subordinates, as well as among peers.Design/methodology/approachAn anonymous questionnaire (in Spanish and Russian) was distributed through the LinkedIn social media platform. The study intended to capture responses from white-collar professionals with managerial profiles, including those occupying high and medium-level positions, consultants, section directors, and project managers across different industries in both the countries. We collected 142 responses from Spain and 115 from Kazakhstan, with a total of 257 valid responses. Principal component's analysis (PCA), to obtain factorial axis was applied. We then performed a factor analysis of those principal components using Coheris Analytics SPAD 9.1.FindingsThe first finding herein points to the fact that the same experience had different consequences in these two different places, which can be traced back to national-cultural values. Spain and Kazakhstan share some common values and, at the same time, are culturally opposite. People fear uncertainty and one of the best ways to avoid this feeling is to provide them with technical and emotional support to manage a situation. During the COVID-19 lockdown, professionals from both countries expected their bosses to be assertive, driven, attentive and encouraging. And it seems they got just that. Secondly, a robust structure is mandatory for feeling secure: workers reported devoting more hours to telecommuting at home and even felt that their jobs were invading their personal lives, but they handled it because they knew to whom they should report. Procedures, rules, and methods were clear enough to avoid uncertainty. They even invented new rituals, patterns and practices that helped to reinforce their sense of belonging to the team. On top of this, in their responses, they noted that leaders acted consistently, even admirably, during lockdown and, for this reason, they gained their subordinates' respect.Research limitations/implicationsResponses from female participants more than doubled those from males in this sample. Women are assumed to prefer flexible working conditions so that they can better take care of children and/or elderly or dependent persons, but this could just be a long-standing bias. On the other hand, the incorporation of women into professional life has feminized work environments, translating into more concern for workers' personal circumstances and more awareness of the human relationships therein. Thus, independent of the country studied, gender is another factor to consider for future research.Practical implicationsThis article proposes further exploratory study of how organizational contexts are affected by unexpected, informal and even radical changes, as well as of organizations' ability to manage said changes by looking to their cultural values.Originality/valueFacing a common enemy— the coronavirus— seems to have made workers more positive and less prone to complaining. Workers have been resolute and have tried their best not only in their individual work, but also with their co-workers and teams. The data suggests that, even when analyzing two diverse countries in terms of their cultural historical, and sociological contexts, companies' reactions impacted their employees somewhat similarly and engendered similar responses. At the same time, the reactions of Spanish and Kazakhstani professionals vary on certain aspects, and, surprisingly, converge in terms of avoiding uncertainty, w ich suggests a conservative reaction in both countries. This study concludes that structure (clarity of procedures, norms, patterns) and leaders' recognition of their employees' efforts to overcome uncertainty were of utmost importance.

Corporate characteristics, audit quality and managerial entrenchment during the COVID-19 crisis: evidence from an emerging country

PurposeThe purpose of this paper is to investigate the relationship between some corporate characteristics, audit quality and managerial entrenchment in Tunisian companies.Design/methodology/approachThe multivariate regression model is used for hypothesis testing using a sample of 224 listed observations on Tunisian Stock Exchange during 2014–2020. An exploratory factor analysis of four variables (chief executive officer (CEO) duality, CEO tenure, CEO seniority and CEO age) is used for calculating a unique index assessing the managerial entrenchment.FindingsThe results show a negative and significant relationship between audit quality and managerial entrenchment. The authors also find that firm characteristics affect management entrenchment. Precisely, corporate financial performance and firm leverage show positive connections with managerial entrenchment (ME). Additional analysis confirms the negative impact of the coronavirus disease 2019 (COVID-19) pandemic on managerial entrenchment level.Practical implicationsThe study's findings have practical implications that may be useful to different stakeholders, policymakers and regulatory bodies interested in reducing management entrenchment. This study offers signals to shareholders about specific governance attributes, namely audit quality, that control the extent of manager's entrenchment.Originality/valueThe originality of this paper consists in focusing on developing countries, namely the Tunisian context;while the managerial entrenchment phenomena has been widely examined in developed markets. Moreover, contrary to the overwhelming majority of previous studies that has used individual indexes for evaluating the entrenchment, the authors calculate a mixed index of managerial entrenchment using the principal component analysis based on four governance mechanisms (CEO duality, CEO age, CEO seniority and CEO tenure).

Video games as a tool for ecological learning: the case of Animal Crossing

Amidst lockdown policies in response to the COVID-19 pandemic, many used video games as a method to maintain a connection with others while ensuring social distancing. A new edition of the Animal Crossing series of games had been released in March 2020 and beat sales and downloads records. The game focuses on living in a natural environment, building a house and a village, as well as capturing, exhibiting, and selling species to progress. Here we examine whether players gain species identification skills and whether it is transferred to real-life models. We used the results from a survey conducted from the end of March to early April 2020 on 200 people (72 players and 128 nonplayers of Animal Crossing). Participants were first asked to rank their personal interest in nature and then to identify species from photos. The photos displayed both organisms present in the game and organisms that were not. We expected players to obtain a slightly higher score than nonplayers for questions related to the species present in the game and a similar score in both groups for questions related to species not present in the game. Multivariate analyses (multiple linear regression and principal components analysis [PCA]) showed that players were better than nonplayers at identifying real-life species that were present in the game. The role of the species in the game design impacts the ability to identify the species in real life, such as plants having mainly a role of ornamentation. Additionally, this study suggests that survey participants could correctly assess their naturalistic knowledge in general. This article shows that video games can help enhance ecological learning, improve organisms identification, and might be used as a tool for education in conservation biology.

Case–control study of serum vitamin D concentrations in hospitalised patients with COVID-19 and hospitalised controls suffering with respiratory tract infections of differing aetiology

This study explored the prevalence of low serum vitamin D in patients admitted with acute respiratory tract infections (ARTIs) such as COVID-19. This study investigated whether patients with COVID-19 had lower serum vitamin D compared with patients with ARTIs of other aetiology. A case–control study was performed with cases of COVID-19 and controls of non-COVID-19 ARTIs. Patients were enrolled from a single general medical ward in a secondary care hospital between 15 April 2020 and 15 May 2020. Exclusion criteria were an oxygen requirement of >8 L/min. Data collected included serum 25-hydroxyvitamin D concentration, venous plasma glucose concentration and heamoglobin A1c. Outcomes measured were length of hospital stay, deaths, the need for high dependency and intensive care unit involvement. A total of 60 patients of five ethnic groups were enrolled, 85% (n=46) were of White-British ethnicity. The data analysis is based on these 46 patients of which 24 were non-COVID-19 patients with ARTI and 22 were patients with COVID-19. Overall, 80% of the study population had a serum vitamin D concentration below 50 nmol/L with median concentrations of 30 nmol/L and 35 nmol/L for patients with COVID-19 and non-COVID-19 ARTIs respectively. A Mann-Whitney sign-ranked test with respect to serum vitamin D concentration found no statistically significant difference between cases and controls, p=0.09. There was no significant difference in the length of stay, body mass index and rates of various comorbidities such as diabetes mellitus (DM), hypertension and lung disease in both study groups. However, DM was found to be associated with lower serum vitamin D concentrations. The results of this study support published literature showing an association between low serum vitamin D and ARTIs including COVID-19. However, this study did not identify patients with COVID-19 to have a statistically significant lower serum vitamin D concentration than non-COVID-19 patients with ARTI.

Positive Matrix Factorization as Source Apportionment of Paddy Soil Heavy Metals in Black Shale Areas in Western Zhejiang Province, China

The source apportionment of pollutants is the key to preventing and controlling the pollution caused by heavy metals in soils. The aim of this study was to investigate the main sources of heavy metals in the soils of black shale areas in western Zhejiang, China. Based on geostatistical spatial analysis, this research employed positive matrix factorization (PMF) for the source apportionment of heavy metals in paddy soil. The results showed that contaminated arable soils were concentrated in the western and southern study areas. At least five major sources of heavy metals were screened in this study: natural sources (39.66%), traffic emissions (32.85%), industrial emissions (9.23%), agricultural activities (9.17%), and mining (9.10%). To be specific, Cd was mainly from mining;As originated from agricultural inputs such as fertilizers and pesticides;and Hg, as an industrial pollutant, was transported by atmospheric deposition in the study area. The accumulation of Pb, Zn, and Cu was mainly influenced by natural sources and anthropogenic sources, i.e., traffic emissions, while that of Cr and Ni was controlled by natural sources.

Olympic Games, media coverage and brand image/performance from fan and gender perspectives

PurposeThe purpose of this paper is to explore and test certain assumptions concerning the role of the media in its coverage of the Olympic Games, US men's and women's basketball in particular, and its perceived impact on brand image of the athletes' performance from a fan's motivational and financial perspective.Design/methodology/approachUses and gratifications theory and sport fan motivation scales were used to identify potential impacts of media coverage and branding on athletic performance. Based on a study of 143 working professionals that identified themselves as Olympic sport fans in the Pittsburgh, PA metropolitan area, several hypotheses were tested.FindingsThe most to least important factor-based constructs found from a PCA (Principal Components Analysis)/factor analysis included competitiveness, fan commitment, media connections, media impacts, demographics and financial impacts. When using the construct athletic performance at the Olympic level as the dependent variable, results suggested that competitiveness, media connections and fan commitment were significant for males only, while only media connections for significant for females. Males were found to be more player-centric than females, willing to be more focused on the competitive nature of the Olympic Games and to dedicate more money for such activities.Originality/valueFocusing on Olympic Games and associated athletes' competitive nature opens a unique perspective from fan's gender perspective.

Functional, Multivariate Functional and Spatial PCA: Application to Covid-19 Data in the African Continent

Covid-19 pandemic has negatively impacted many areas, including the economy and health care facilities, and has left more than 5 million deaths worldwide. In this paper, we use functional data analysis methods to describe evolution of the number of cases and the number of deaths of Covid-19 in Africa. We perform functional principal component analysis, Multivariate functional component analysis and spatial component analysis to characterize better the phenomena and spatial data to determine the impact of a region's neighborhood on number of cases. The obtained results allow us to have a better knowledge of the evolution of the pandemic in African continent. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.