A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative.

BACKGROUND: Recently, artificial intelligence (AI)-based applications for chest imaging have emerged as potential tools to assist clinicians in the diagnosis and management of patients with coronavirus disease 2019 (COVID-19). OBJECTIVES: To develop a deep learning-based clinical decision support system for automatic diagnosis of COVID-19 on chest CT scans. Secondarily, to develop a complementary segmentation tool to assess the extent of lung involvement and measure disease severity. METHODS: The Imaging COVID-19 AI initiative was formed to conduct a retrospective multicentre cohort study including 20 institutions from seven different European countries. Patients with suspected or known COVID-19 who underwent a chest CT were included. The dataset was split on the institution-level to allow external evaluation. Data annotation was performed by 34 radiologists/radiology residents and included quality control measures. A multi-class classification model was created using a custom 3D convolutional neural network. For the segmentation task, a UNET-like architecture with a backbone Residual Network (ResNet-34) was selected. RESULTS: A total of 2,802 CT scans were included (2,667 unique patients, mean [standard deviation] age = 64.6 [16.2] years, male/female ratio 1.3:1). The distribution of classes (COVID-19/Other type of pulmonary infection/No imaging signs of infection) was 1,490 (53.2%), 402 (14.3%), and 910 (32.5%), respectively. On the external test dataset, the diagnostic multiclassification model yielded high micro-average and macro-average AUC values (0.93 and 0.91, respectively). The model provided the likelihood of COVID-19 vs other cases with a sensitivity of 87% and a specificity of 94%. The segmentation performance was moderate with Dice similarity coefficient (DSC) of 0.59. An imaging analysis pipeline was developed that returned a quantitative report to the user. CONCLUSION: We developed a deep learning-based clinical decision support system that could become an efficient concurrent reading tool to assist clinicians, utilising a newly created European dataset including more than 2,800 CT scans.

Being stressed in the family or married with work? A literature review and clustering of work-family conflict

PurposeWork-family conflict is an important topic which had an evolution, starting from a static definition, where work and family domains were divided, to a more dynamic and complex balance. COVID-19 has influenced society and created a significant distress among families and working activity, and this topic has been characterised by a major interest, considering some old definitions where this balance was considered problematic but not as an enriching opportunity.Design/methodology/approachThe authors used SCOPUS to find all records mentioning work-family conflict, by considering book, article and review, excluding conference paper and considering only records written in English language. After a duplicated and not pertinent record removal, the authors obtained a number of 675 records. The authors considered 437 records from SCOPUS to create a cluster map.FindingsUsing SCOPUS and VOSviewer the authors have clustered 5 different areas, which are regrouped in next clusters considering keywords with most co-occurrence and significancy: Work-life balance and burnout gender cluster job stress and performance social and family support job satisfaction.Research limitations/implicationsCluster map is origined only by SCOPUS database.Originality/valueThis work aims to find a state of art about this topic, creating hypothesis where this problem has been exacerbated by 2020 due to important society modifications created by COVID-19, where recent evolution of work-family balance has been complicated by papers which come back to consider this balance as problematic.

The role of spiritual mindset and gender in small business entrepreneurial success.

Introduction: Spirituality can be understood as a capital based on individual capabilities created by the application of intrinsic spiritual values, in order to use and develop human potential. The literature points out that spiritual capital increasingly influences and motivates entrepreneurs. Methods: In this paper, we investigate whether spirituality has a mediating role between psychological resilience, optimism and entrepreneurial success, and verify the gender differences. Our hypotheses are quantitatively tested on a sample of 233 micro and small Portuguese business owners during the pandemic crisis. Results: The main findings highlight that, while optimism and psychological resilience present a positive and significant relationship with entrepreneurial success in both genders, spirituality only impacts female entrepreneurial success. Discussion: Our study theoretically and empirically shows that the psychological resources and spirituality can be incorporated into new or existing programs designed to provide entrepreneurs with information on coping skills and how to engage in positive reorientation and reappraisal. In so doing, it improves the knowledge of the importance of psychological resources for the micro and small business' recoverability during the pandemic, which is deeply rooted in the entrepreneurial ability to excel during adversity.

University students involved in a sustainable world: assessing sustainable consumption in Spain

Purpose>To achieve sustainable development to protect the environment and society, an increasing number of scholars have conducted in-depth research on sustainable and responsible consumption behaviors. The outputs demonstrate that consumers are increasingly concerned and aware of the issues associated with the excessive use of resources. The purpose of this paper is to analyze the validity and reliability of the Sustainable Consumption Scale (SC-S) in the Spanish context.Design/methodology/approach>The adaptation of SC-S to Spanish was carried out in accordance with international methodological standards. The Spanish version of this scale was applied empirically to the research sample was composed of 962 university students (49.1% male and 50.9% female) from 54 Universities in 15 regions of Spain that participated in the study.Findings>The analyses carried out to verify the psychometric properties retained 16 items from the original proposal, grouped equally in three factors: Cognitive – six items;Affective – seven items;and Conative – four items. The scale presented adequate adjustment indexes, as well as optimal values of the different measures of reliability, recommended by the literature.Originality/value>This instrument can be used by the Spanish academic community, which will contribute to the assessment and prediction regarding a sustainable consumption attitude. From these screenings, it will be also possible to understand the impact and development of the objectives outlined by Agenda 2030.

Development and validation of a scale to evaluate students' future impact perception related to the coronavirus pandemic (C-19FIPS).

During the outbreak of the novel COVID-19 pandemic, economies around the world underwent unprecedented changes, which negatively limited young people's perceptions of their future. The study aims to describe the development and validation of the 10-item COVID-19 Future Impact Perception Scale (C-19FIPS), a measurement tool to assess future impact perception related to COVID-19, among university students. Inductive and deductive approaches were used at the phase of the scale development process. Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) applying two different SEM based analytical methods, covariance-based SEM (CB-SEM) and variance based SEM (PLS-SEM) were used to explore and predict the data. The EFA output generated two dimensions with 10 items. The dimensions are Personal Perception (C-19 PF) and Country Perception (C-19 CF) that reflects the notion of Future Impact Perception related to COVID-19. The result of the CFA confirmed the EFA result. Based on the reliability and validity check results, it is apparent that the scale demonstrates good psychometric properties. Evidence was also provided for convergent and discriminant validity. The study provided a short, valid and reliable measure to assess the impact of the COVID-19 pandemic on college students' future perceptions. Knowing how external situations influence the world of young people is useful for the development of targeted interventions that favor their well-being and that can support them in situations perceived as uncertain and risky. Limitations and future lines are discussed.

Language comprehension in the social brain: Electrophysiological brain signals of social presence effects during syntactic and semantic sentence processing

Although, evolutionarily, language emerged predominantly for social purposes, much has yet to be uncovered regarding how language processing is affected by social context. Social presence research studies the ways in which the presence of a conspecific affects processing, but has yet to be thoroughly applied to language processes. The principal aim of this study was to see how syntactic and semantic language processing might be subject to mere social presence effects by studying Event-Related brain Potentials (ERP). In a sentence correctness task, participants read sentences with a semantic or syntactic anomaly while being either alone or in the mere presence of a confederate. Compared to the alone condition, the presence condition was associated with an enhanced N400 component and a more centro-posterior LAN component (interpreted as an N400). The results seem to imply a boosting of heuristic language processing strategies, proper of lexico-semantic operations, which actually entails a shift in the strategy to process morphosyntactic violations, typically based on algorithmic or rule-based strategies. The effects cannot be related to increased arousal levels. The apparent enhancement of the activity in the precuneus while in presence of another person suggests that the effects conceivably relate to social cognitive and attentional factors. The present results suggest that understanding language comprehension would not be complete without considering the impact of social presence effects, inherent to the most natural and fundamental communicative scenarios.

Interpretable artificial intelligence framework for COVID-19 screening on chest X-rays.

COVID-19 has led to an unprecedented healthcare crisis with millions of infected people across the globe often pushing infrastructures, healthcare workers and entire economies beyond their limits. The scarcity of testing kits, even in developed countries, has led to extensive research efforts towards alternative solutions with high sensitivity. Chest radiological imaging paired with artificial intelligence (AI) can offer significant advantages in diagnosis of novel coronavirus infected patients. To this end, transfer learning techniques are used for overcoming the limitations emanating from the lack of relevant big datasets, enabling specialized models to converge on limited data, as in the case of X-rays of COVID-19 patients. In this study, we present an interpretable AI framework assessed by expert radiologists on the basis on how well the attention maps focus on the diagnostically-relevant image regions. The proposed transfer learning methodology achieves an overall area under the curve of 1 for a binary classification problem across a 5-fold training/testing dataset.

Psychological Factors that Lessen the Impact of COVID-19 on the Self-Employment Intention of Business Administration and Economics' Students from Latin America.

BACKGROUND: The 2019 coronavirus disease epidemic (Covid-19) is a public health emergency of international concern and poses a challenge to the labor market. The pandemic has a devastating and disproportionate effect on young workers, their interest in entrepreneurship, and their mental health. Research is needed to develop evidence-based strategies to improve coping and reduce adverse psychological problems. The objective of this study was to analyze the impact that Covid-19 pandemic perception and psychological need satisfaction have on university students and their self-employment intention. In addition, we also analyzed the role of moderation played by psychological aspects. These psychological factors (i.e., Optimism and Proactiveness) can also improve young people's mental health and well-being. METHODS: An explorative study (online survey) was conducted in March 2020 934 university students from Latin America. Regression analysis models were built to examine the relationships between Covid-19 pandemic perception, personality variables, and entrepreneurial intention. Mediation models, through the bootstrapping method, were performed to analyze the mediating role of proactiveness and optimism. RESULTS: Results indicate that students' perception of Covid-19 and psychological need satisfaction are associated with entrepreneurial intention. Additionally, the present study argues that proactiveness and optimism mediate these relationships. CONCLUSIONS: This study identifies psychological factors associated with a lower level of Covid-19 impact and that can be used for psychological interventions that result in an improvement in the mental health of these vulnerable groups during and after the Covid-19 pandemic. Theoretical and practical implications are discussed.