Search results for " distress"
showing 10 items of 351 documents
Sepsis and Coronavirus Disease 2019: Common Features and Anti-Inflammatory Therapeutic Approaches
2020
Great efforts are being made worldwide to identify the specific clinical characteristics of infected critically ill patients that mediate the associated pathogenesis, including vascular dysfunction, thrombosis, dysregulated inflammation, and respiratory complications. Recently, coronavirus disease 2019 has been closely related to sepsis, which suggests that most deaths in ICUs in infected patients are produced by viral sepsis. Understanding the physiopathology of the disease that lead to sepsis after severe acute respiratory syndrome coronavirus 2 infection is a current clinical need to improve intensive care-applied therapies applied to critically ill patients. Although the whole represent…
The Structure and Correlates of a Measure of Prosocial Moral Reasoning in Adolescents from Spain
2013
Examined the structure and correlates of a measure of prosocial moral reasoning in a sample of young and middle-aged adolescents. 1556 students (53% male, M age = 13.12, SD = .87) from Valencia, Spain completed paper-and-pencil measures of prosocial moral reasoning (PROM), empathy, prosocial behaviors, and aggression. As expected, a series of confirmatory factor and structural equation modeling analyses revealed a four-factor solution of the PROM to have the best fit (as compared to alternative models) among Spanish youth (across gender and grade). Moreover, higher level and other-oriented forms of prosocial moral reasoning were generally positively related to empathy and prosocial behavior…
Towards Low-Cost Pavement Condition Health Monitoring and Analysis Using Deep Learning
2020
Governments are faced with countless challenges to maintain conditions of road networks. This is due to financial and physical resource deficiencies of road authorities. Therefore, low-cost automated systems are sought after to alleviate these issues and deliver adequate road conditions for citizens. There have been several attempts at creating such systems and integrating them within Pavement management systems. This paper utilizes replicable deep learning techniques to carry out hotspot analyses on urban road networks highlighting important pavement distress types and associated severities. Following this, analyses were performed illustrating how the hotspot analysis can be carried out to…
Photogrammetric UAV technologies aimed at monitoring of infrastructures
2022
The research has three key concept: the first one is the application of data analysis using limited data sets to understand historical and future road maintenance interventions; the second one is the application of image based 3D modelling and analysis of pavement distresses; the third one is the application of deep learning to detect and pinpoint pavement distresses
Novel technologies to detect atelectotrauma in the injured lung
2010
ABSTRACTCyclical recruitment and derecruitment of lung parenchyma (R/D) remains a serious problem in ALI/ARDS patients, defined as atelectotrauma. Detection of cyclical R/D to titrate the optimal respiratory settings is of high clinical importance. Image-based technologies that are capable of detecting changes of lung ventilation within a respiratory cycle include dynamic computed tomography (dCT), synchrotron radiation computed tomography (SRCT), and electrical impedance tomography (EIT). Time-dependent intra-arterial oxygen tension monitoring represents an alternative approach to detect cyclical R/D, as cyclical R/D can result in oscillations of PaO2 within a respiratory cycle. Continuous…
Effect of A Healthy Body Image intervention on risk- and protective factors for eating disorders: A cluster randomized controlled trial
2021
Accepted manuscript version, licensed CC BY-NC-ND 4.0. Objective - To investigate the immediate and 12-months effects of a school-based intervention aiming to reduce risk and enhance protective factors for eating disorder development in high school boys and girls. Method - In total, 4,149 adolescents from 30 high schools were eligible for inclusion and 2,446 consented to participate and were randomly allocated to the Healthy Body Image (HBI) intervention or a control group (classes as usual). The HBI intervention is multicomponent consisting of three workshops targeting body image, social media usage and lifestyle. Linear mixed model and intention-to-treat analyses were applied to investiga…
Psychosocial work stressors and well-being: self-esteem and optimism as moderators in a one-year longitudinal sample
2003
The purpose of the present follow-up study was to investigate the roles of self-esteem and optimism in the relationship between psychosocial work stressors and well-being for a sample of Finnish employees (n=457). The data were obtained by means of questionnaires which were completed twice, in 1999 and 2000. The results of the moderated hierarchical regression analyses revealed that low levels of self-esteem and optimism had a direct negative effect on emotional exhaustion and mental distress among men employees. Furthermore, self-esteem moderated the relationships between poor organizational climate and emotional exhaustion and mental distress among male employees. Among female employees o…
Nanomedicine: A Diagnostic and Therapeutic Approach to COVID-19
2021
The SARS-CoV-2 virus is causing devastating morbidity and mortality worldwide. Nanomedicine approaches have a high potential to enhance conventional diagnostics, drugs and vaccines. In fact, lipid nanoparticle/mRNA vaccines are already widely used to protect from COVID-19. In this review, we present an overview of the taxonomy, structure, variants of concern, epidemiology, pathophysiology and detection methods of SARS-CoV-2. The efforts of repurposing, tailoring, and adapting pre-existing medications to battle COVID-19 and the state of vaccine developments are presented. Next, we discuss the broad concepts and limitations of how nanomedicine could address the COVID-19 threat. Nanomaterials …
Financial Fragility and Distress Propagation in a Network of Regions
2012
Building on previous works on business fluctuations, we model the propagation of financial distress in a network of regions, each populated by heterogeneous interacting firms and banks. In order to diversify risk, firm sell goods outside their own region and borrow from banks located there. However, this results in ties across regions which propagate financial distress across regional borders. We investigate how the average level of economic integration affects the probability of both individual and systemic failures. We find that the benefit of greater diversification is eventually offset by the effect of financial acceleration and contagion. In particular, beyond a certain level of integr…
Macro-uncertainty and financial stress spillovers in the Eurozone
2020
Abstract This paper studies macro-uncertainty and financial distress spillovers within the Eurozone. We propose a novel methodology to derive the indices of spillovers, by using a Global Vector autoregressive model fitted to data sampled at mixed-frequencies. We find that macro-uncertainty and financial stress are relatively disconnected in the Eurozone. We also show that connectedness between core and periphery Eurozone countries mainly operates through financial stress and it decreases since the outbreak of the Eurozone sovereign debt crisis (with an increasing role played by peripheral countries). As a result, investors and policymakers should monitor separately macro-uncertainty and fin…