Watching with Argus eyes: Characterization of emotional and physiological responding in adults exposed to childhood maltreatment and/or recent adversity.

Exposure to adverse experiences is a well-established major risk factor for affective psychopathology. The vulnerability of deleterious sequelae is assumed in maladaptive processes of the defensive system, particularly in emotional processing. More specifically, childhood maltreatment has been suggested to be associated with the recruitment of specific and distinct defensive response profiles. To date, it remains unclear whether these are specific or generalizable to recent adversity in adulthood. This pre-registered study aimed to investigate the impact of exposure to childhood and recent adversity on emotional processing in 685 healthy adults with the "Affective Startle Modulation" Paradigm (ASM). First, we replicated higher trait anxiety and depression levels in individuals exposed to both types of adversity. Second, we observed increased general skin conductance reactivity in individuals exposed to recent adversity. Third, individuals exposed to childhood maltreatment showed reduced, while individuals exposed to recent adversity showed increased discrimination between pictures of negative and neutral valence, compared with non-exposed individuals in SCR. No association between exposure to adversity and fear potentiated startle was observed. Furthermore, explorative analyses revealed moderate dimensional and categorical agreement between two childhood maltreatment questionnaires and provide insight into potential adversity-type specific effects. Our results support experience-dependent plasticity in sympathetic nervous system reactivity and suggest distinct response profiles in affective modulation in individuals exposed to early versus recent adversity. We emphasize the need to further explore distinct adversity profiles to further our understanding on specific psychophysiological profiles and their potential implication for prevention and intervention.

Lymphocytes count, acute phase protein and renal function in COVID-19 patients as disease severity predictors

Coronavirus disease 2019 is an infection caused by severe acute respiratory syndrome coronavirus-2. The clinical spectrum of this illness ranges from asymptomatic infection to acute respiratory distress syndrome (ARDS), circulatory shock, multiorgan failure, and ultimately death. The aims of this study are to assess of lymphocyte count, to study of acute phase proteins inflammatory biomarker which include ferritin, lactate dehydrogenase, and D-dimer, and to study of renal function markers which include blood urea nitrogen and serum creatinine. The data accumulated throughout this selective case control study which were extended from September 1st, 2020, to December 1st, 2020. A total of 176 human serum samples were collected, and subdivided into four groups moderate, sever, critical and control, each group comprised of 44 individuals. Results: The data was analyzed using the SPSS-20 statistical package that was available (Statistical Packages for Social Sciences-version 20). The results showed a highly significant decrease in the mean of Lymphocyte in Covid-19 patients when compared to the control group, p.value = 0.000. But Lymphocyte showed no significant differences among moderate, severe, and critical groups p.value = 0.580, p.value = 192, p.value = 456 respectively, where all of them had low lymphocyte count. The means of lactate dehydrogenase, ferritin, and D-dimer a showed a highly significant increase in Covid-19 patients when compared to the control group, p.value = 0.000, p.value = 0.000, p.value = 0.000 respectively. The results showed a highly significant increase in BUN in COVID-19 patient when compared with control group, p.value = 0.001, but the creatinine doesn't show any significant differences in COVID-19 patient when compared with control group, p.value = 0.405. Lactate dehydrogenase showed highly significant increase in critical group when compared with moderate group, p.value = 0.004, and showed significant differences in severe group when compared with moderate group, p.value = 0.031, but did not show significant differences between severe and critical groups, p.value = 0.690. Ferritin and D-dimer showed highly significant increase in critical group when compared with moderate group, p.value = 0.009, p.value = 0.000 respectively, and severe group, p.value = 0.002, p.value = 0.000 respectively. While, showed no nay significant differences between severe and moderate groups, p.value = 0.579, p.value = 0.075 respectively. Urea showed highly significant increase in critical group when compared with sever group and moderate group, p.value = 0.000. Creatinine showed significant increase in critical group when compared with sever group and moderate group, p.value = 0.031, p.value = 0.034 respectively. Both urea and creatinine showed no significant differences between severe and moderate groups p.value = 0.747, p.value = 0.958 respectively. Conclusions: In COVID- 19 patients, lymphopenia is a prognostic factor, increase levels of acute phase protein lactate dehydrogenase, D-dimer, and ferritin associated with disease severity, and the blood urea nitrogen and serum creatinine among critical group were associated with disease severity. © 2023 Author(s).

Evaluating Barriers to Supply Chain Resilience in Vietnamese SMEs: The Fuzzy VIKOR Approach

This study aimed to determine and prioritize the critical barriers to supply chain resilience (SCR) in Vietnamese small and medium-size enterprises (SMEs), which play a crucial role in the global supply chain. Through a systematic literature review and expert consultation, 15 barriers to SCR were identified and evaluated by using the fuzzy VIKOR (ViseKriterijumska Optimizacija I Kompromisno Resenje) method. The findings provide novel insights into the challenges of enhancing resilience in the Vietnamese supply chain and categorize the barriers into three main categories: the resilience phase, strategy resilience, and the competencies required. The results indicated that a lack of financial resources and alternative sources of supply are the most pressing barriers related to the resilience phase group. In terms of strategy resilience, the lack of a skilled and competent workforce was found to be the most critical obstacle. Furthermore, government delays in supporting and enacting appropriate policies were found to be the most pressing issue related to the competencies required. These findings offer valuable recommendations for managers seeking to address these barriers and enhance the resilience of the Vietnamese supply chain after COVID-19. By prioritizing and solving these critical obstacles, Vietnamese SMEs can better prepare for and recover from potential challenges in the future. © 2023 by the authors.

Developing Supply Chain Capabilities Through Digitalization and Viability for Controlling the Ripple Effect

The COVID-19 pandemic affected all industries and presented manufacturing firms with enormous challenges, with considerable changes in consumer demand for goods and services. Supply chain management disruption caused by the COVID-19 outbreak resulted in several socio-economic roadblocks. The slow propagation of disruption risk results in a ripple effect along the entire chain. The lack of resilience and risk management capability is the prime cause, attributed to the unavailability of digital resources, skills, and knowledge. The main objective of this article is to develop supply chain capability for disruption risk management and supply chain resilience for competitive gain in terms of controlling the ripple effect. The resource-based view approach was used to develop the theoretical structure in this article. Supply chain digitalization and viability provide necessary resources to develop the capability for managing risk and resilience to tackle the impact of disruptions due to pandemics, war, recession, and other such massive challenges on the supply chain. Seven hypotheses were proposed and evaluated for relevance using structural equation modeling (SEM). In total, 199 valid responses to a survey on SEM were gathered and examined using the AMOS V-21 software. Our research findings supported all the proposed hypotheses, thereby generating positive theoretical evidence for practitioners to digitalize their supply chain for enhanced supply chain capabilities and effective control of the ripple effect. IEEE

The Data Visualization Analysis in Global Supply Chain Resilience Research During 2012–2022

Supply Chain Resilience (SCR), which is the capacity to return the supply chain to its starting condition, which is necessary when the system is compromised by hazards (externally), is one of the most critical supply chain management concerns in the worldwide post-COVID-19 era. This article aims to examine influential journals, publication types, research headings, scholars, and citation metrics in the SCR field, to assist researchers globally in better understanding the knowledge map of the subject and identifying frontiers. The findings indicate that SCR is an important and widespread issue in the post-COVID-19 era, with 2,278 articles published on the Web of Science over the study period. Tableau Public was used in data analytics during the research period. The finding of this research is that (1) the majority of publications were published in SCIE and/or SSCI. (2) The journal-published papers were easier than book, conference, and series publications. (3) Future researchers will be able to conduct more in-depth research on the Multi-topics of SCR, such as people, COVID-19, the food supply chain, and the service industry. (4) Numerous researchers have already participated in SCR-related research, establishing a solid academic community research foundation. This is a review of SCR research and research ideas to complete a future study on the resilience of China's agricultural product supply chain. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Challenges to infection control in early communication intervention: A scoping review.

BACKGROUND:  Personal protective equipment (PPE) and infection prevention and control (IPC) measures are crucial to preventing the spread of coronavirus disease 2019 (COVID-19). This study used a scoping review to investigate the challenges that exist when speech-language therapists (SLTs) use IPC measures for providing early communication intervention (ECI). OBJECTIVES:  To describe existing, recent literature on PPE and IPC measures used in early intervention through a scoping review (steps 1-5) and to consult local clinicians to investigate how SLTs who provide ECI in South Africa relate to these findings (step 6 of the scoping review). METHOD:  A scoping review was performed which followed the PRISMA-ScR framework. Because of limited literature on PPE and IPC measures used by SLTs in providing ECI, the inclusion criteria were adjusted to include PPE and IPC measures used by healthcare workers (HCWs) who provide early intervention to the population of infants and toddlers up to 3 years old. At the time of the review, articles were not older than 10 years and were published between 2011 and 2020. The scoping review included a consultation with South African SLTs who provide ECI, including during the COVID-19 pandemic. A pilot study was conducted prior to the consultations. Seventeen clinicians were included in total. Data from both the pilot study and main consultation were transcribed and analysed in the results using thematic analysis. RESULTS:  Fourteen articles were included in the study. The scoping review of existing literature identified challenges to implementing IPC measures, namely the care and behaviour of young children, infrastructure and system challenges, poor compliance and lack of training and a lack of standard IPC protocols. Clinicians in the consultation phase confirmed these challenges and reported that IPC measures did not consider ECI populations nor the settings in which services were provided. Suggestions from the literature for improved infection control included hand hygiene, improved supplies and infrastructure and education and training. Clinicians in the consultation added practical suggestions for implementing IPC measures within ECI, which included an increase in parent-led intervention as well as cleaning and disinfection strategies. CONCLUSION:  This study identified challenges and recommendations of SLTs who use PPE and IPC measures whilst providing ECI. Understanding these challenges can benefit ECI services and future research efforts focused on improving ECI services whilst maintaining IPC standards.

Supply Chain Resilience: Exploring the Research Trends Through a Bibliometric Approach

The incessant logistic restrictions due to the pandemic crisis have caused a great impact on the performance of the stakeholders in the supply chain. Thus, the field of supply chain resilience (SCR) has received increasing attention on minimizing the impact and improving the supply chain management system to sustain during a difficult situation. This paper explores the trends and performance of research on SCR within 10 years (2012 to 2021) using bibliometric analysis based on the dataset from the Scopus database. The evaluation of the performance of publication on SCR was analysed using Harzing’s platform, while the mapping of the bibliometric network was visualized using VOSviewer. The results of bibliometric analysis based on 405 publications show significant growth in the number of publications in the research domain of SCR from 2012–2021, with three topics that are persistent across the 10-year study period, namely risk management, sustainability, and agile management system. This paper hopes to contribute as a point of reference on the extant and emergent topics and methodology decisions for future studies on supply chain resilience, especially during an uncertain situation. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

A fuzzy synthetic evaluation of vulnerabilities affecting supply chain resilience of industrialized construction in Hong Kong

Purpose>Demands for Industrialized Construction (IC) have intensified with growing construction industry imperatives to (A) boost performance;(B) reduce reliance on “in-situ and on-site” operations;and (C) strengthen supply chain resilience (SCR) not just for survival but also to fulfill obligations to clients in the coronavirus disease 2019–induced (COVID-19–induced) “new normal”. In addressing these imperatives, this paper targets more effective leveraging of latent efficiencies of off-site-manufacture, based on findings from a Hong Kong (HK)–based study on assessing and improving SCR in IC in a high-density city.Design/methodology/approach>Starting with the identification of critical supply chain vulnerabilities (CSCVs), this study developed a multilevel–multicriteria mathematical model to evaluate the vulnerability levels of IC supply chains (SCs) in HK based on an in-depth questionnaire survey followed by experts' inputs and analyzing them using fuzzy synthetic evaluation (FSE).Findings>The overall vulnerability index indicates that IC in HK is substantially vulnerable to disruptions, while production-based vulnerabilities have the highest impact. Top management attention is needed to address these CSCVs in IC in HK.Originality/value>To the authors' knowledge, this is the first structured evaluation model that measures the vulnerability level of IC, providing useful insights to industry stakeholders for well-informed decision-making in achieving resilient, sustainable and performance-enhanced SCs.

Openness to Technological Innovation, Supply Chain Resilience, and Operational Performance: Exploring the Role of Information Processing Capabilities

Increasing volatility in the global economy since the 2009 financial crisis, including the USA-China trade war and recent COVID-19 outbreak, has compelled businesses to build resilience to respond quickly to unexpected disruptions. Consistent with organizational information processing theory (OIPT), we posit that openness to technological innovation helps to build information processing capabilities (i.e., interfunctional coordination and interpartner informational justice), which are required to build supply chain resilience (SCR) and improve performance. Structural equation modeling is used to analyze survey data gathered from 241 Chinese manufacturers. The results reveal interfunctional coordination and interpartner informational justice fully mediate the relationship between openness to technological innovation and SCR, and information processing capabilities and SCR are significantly and positively associated with operational performance. This article extends OIPT by elucidating the role of openness to technological innovation and enhances the SCR literature by providing empirical evidence of the important roles for information processing capabilities. The findings provide a unique information processing perspective to help managers broaden their solutions against disruptive events, and thus avoid or minimize potential negative impacts on firms.

Strategic Choices for Social Responsibility of Startups in China.

This study uses the structure-conduct-performance analytical framework in industrial organization theory to analyze Chinese startups' corporate social responsibility (CSR) assuming normalization after the COVID-19 pandemic. Specifically, we take the external impact of the pandemic on startups during the pandemic as a starting point for analyzing the changes in the structure of startups and their CSR performance. We find a positive correlation between the pandemic and the performance of startups. We propose that the CSR of startups is not simply altruism but must involve an "altruistic and self-interested" mechanism. Therefore, this study proposes that during the pandemic, startups need to rebuild their CSR model. Furthermore, the company's "economic man" and "social man" are interdependent; economic, ethical, and legal responsibilities are parallel and charitable responsibilities remain the highest pursuit amid the pandemic. The social responsibility of startups as the COVID-19 pandemic normalizes is a strategic choice.

Divergence between serum creatine and cystatin C in estimating glomerular filtration rate of critically ill COVID-19 patients.

BACKGROUND: The clinical use of serum creatine (sCr) and cystatin C (CysC) in kidney function evaluation of critically ill patients has been in continuous discussion. The difference between estimated glomerular filtration rate calculated by sCr (eGFRcr) and CysC (eGFRcysc) of critically ill COVID-19 patients were investigated in this study. METHODS: This is a retrospective, single-center study of critically ill patients with COVID-19 admitted in intensive care unit (ICU) at Wuhan, China. Control cases were moderate COVID-19 patients matched in age and sex at a ratio of 1:1. The eGFRcr and eGFRcysc were compared. The association between eGFR and death were analyzed in critically ill cases. The potential factors influencing the divergence between eGFRcr and eGFRcysc were explored. RESULTS: A total of 76 critically ill COVID-19 patients were concluded. The mean age was 64.5 ± 9.3 years. The eGFRcr (85.45 (IQR 60.58-99.23) ml/min/1.73m2) were much higher than eGFRcysc (60.6 (IQR 34.75-79.06) ml/min/1.73m2) at ICU admission. About 50 % of them showed eGFRcysc < 60 ml/min/1.73 m2 while 25% showed eGFRcr < 60 ml/min/1.73 m2 (χ2 = 10.133, p = 0.001). This divergence was not observed in moderate group. The potential factors influencing the divergence included serum interleukin-6 (IL-6), tumor necrosis factor (TNF-α) level as well as APACHEII, SOFA scores. Reduced eGFRcr (<60 mL/min/1.73 m2) was associated with death (HR = 1.939, 95%CI 1.078-3.489, p = 0.027). CONCLUSIONS: The eGFRcr was generally higher than eGFRcysc in critically ill COVID-19 cases with severe inflammatory state. The divergence might be affected by inflammatory condition and illness severity. Reduced eGFRcr predicted in-hospital death. In these patients, we advocate for caution when using eGFRcysc.

Social isolation is closely linked to a marked reduction in physical activity in male mice.

The effects of social isolation on an individual's behavior is an important field of research, especially as public health officials encourage social distancing to prevent the spread of pandemic disease. In this study we evaluate the effects of social isolation on physical activity in mice. Utilizing a pixel-based tracking system, we continuously monitored the movement of isolated mice compared with paired cage mates in the home cage environment. We demonstrate that mice that are socially isolated dramatically decrease their movement when separated from their cage mate, and especially in the dark cycle, when mice are normally most active. When isolated mice are re-paired with their original cage mate, this effect is reversed, and mice return to their prior levels of activity. These findings suggest a close link between social isolation and physical activity, and are of particular interest in the wake of coronavirus disease 2019, when many are forced into isolation. Social isolation may affect an individual's overall activity levels in humans too, which may have unintended effects on health that deserve further consideration.

Blockchain technologies to mitigate COVID-19 challenges: A scoping review.

Background: As public health strategists and policymakers explore different approaches to lessen the devastating effects of novel coronavirus disease (COVID-19), blockchain technology has emerged as a resource that can be utilized in numerous ways. Many blockchain technologies have been proposed or implemented during the COVID-19 pandemic; however, to the best of our knowledge, no comprehensive reviews have been conducted to uncover and summarise the main feature of these technologies. Objective: This study aims to explore proposed or implemented blockchain technologies used to mitigate the COVID-19 challenges as reported in the literature. Methods: We conducted a scoping review in line with guidelines of PRISMA Extension for Scoping Reviews (PRISMA-ScR). To identify relevant studies, we searched 11 bibliographic databases (e.g., EMBASE and MEDLINE) and conducted backward and forward reference list checking of the included studies and relevant reviews. The study selection and data extraction were conducted by 2 reviewers independently. Data extracted from the included studies was narratively summarised and described. Results: 19 of 225 retrieved studies met eligibility criteria in this review. The included studies reported 10 used cases of blockchain to mitigate COVID-19 challenges; the most prominent use cases were contact tracing and immunity passports. While the blockchain technology was developed in 10 studies, its use was proposed in the remaining 9 studies. The public blockchain technology was the most commonly utilized type in the included studies. All together, 8 different consensus mechanisms were used in the included studies. Out of 10 studies that identified the used platform, 9 studies used Ethereum to run the blockchain. Solidity was the most prominent programming language used in developing blockchain technology in the included studies. The transaction cost was reported in only 4 of the included studies and varied between USD 10-10 and USD 5. The expected latency and expected scalability were not identified in the included studies. Conclusion: Blockchain technologies are expected to play an integral role in the fight against the COVID-19 pandemic. Many possible applications of blockchain were found in this review; however, most of them are not mature enough to reveal their expected impact in the fight against COVID-19. We encourage governments, health authorities, and policymakers to consider all blockchain applications suggested in the current review to combat COVID-19 challenges. There is a pressing need to empirically examine how effective blockchain technologies are in mitigating COVID-19 challenges. Further studies are required to assess the performance of blockchain technologies' fight against COVID-19 in terms of transaction cost, scalability, and/or latency when using different consensus algorithms, platforms, and access types.