Analyzing the effects of helical flow in blood vessels using acoustofluidic-based dynamic flow generator.

The effects of helical flow in a blood vessel are investigated in a dynamic flow generator using surface acoustic wave (SAW) in the microfluidic device. The SAW, generated by an interdigital transducer (IDT), induces acoustic streaming, resulting in a stable and consistent helical flow pattern in microscale channels. This approach allows rapid development of helical flow within the channel without directly contacting the medium. The precise design of the window enables the creation of distinct unidirectional vortices, which can be controlled by adjusting the amplitude of the SAW. Within this device, optimal operational parameters of the dynamic flow generator to preserve the integrity of endothelial cells are found, and in such settings, the actin filaments within the cells are aligned to the desired state. Our findings reveal that intracellular Ca2+ concentrations vary in response to flow conditions. Specifically, comparable maximum intensity and graphical patterns were observed between low-flow rate helical flow and high-flow rate Hagen-Poiseuille flow. These suggest that the cells respond to the helical flow through mechanosensitive ion channels. Finally, adherence of monocytes is effectively reduced under helical flow conditions in an inflammatory environment, highlighting the atheroprotective role of helical flow. STATEMENT OF SIGNIFICANCE: Helical flow in blood vessels is well known to prevent atherosclerosis. However, despite efforts to replicate helical flow in microscale channels, there is still a lack of in vitro models which can generate helical flow for analyzing its effects on the vascular system. In this study, we developed a method for generating steady and constant helical flow in microfluidic channel using acoustofluidic techniques. By utilizing this dynamic flow generator, we were able to observe the atheroprotective aspects of helical flow in vitro, including the enhancement of calcium ion flux and reduction of monocyte adhesion. This study paves the way for an in vitro model of dynamic cell culture and offers advanced investigation into helical flow in our circulatory system.

How does COVID-19 differ from previous crises? A comparative study of health-related crisis research in the tourism and hospitality context.

The importance of the risk to tourism and hospitality operations from pandemic-related crises has increased. Therefore, the current study offers a literature review targeting tourism and hospitality stakeholders' perceptions of past diseases and has three objectives: (1) Explore major topics from previous research on infectious diseases using topic modeling; (2) compare non-COVID-19 and COVID-19 crises; (3) investigate research topics in the tourism and hospitality industries. To meet our research objectives, we reviewed published pandemic-related articles in the tourism and hospitality literature since the year 2000. Based on the results, we first identified nine key topics related to infectious diseases (i.e., policy, human resources, branding, resilience, technology, global or community change, risk perception, disease impact, and lifestyle). Second, we suggest the application of different topic weights in non-COVID-19 and COVID-19 research. Third, we found that it is appropriate to apply different topic weights in tourism and hospitality research.

A Retrospective Literature Review of Eating Disorder Research (1990-2021): Application of Bibliometrics and Topical Trends.

Despite the growing importance of eating disorders in society and academic literature, only a few bibliometric review studies using bibliometric analysis were available. Hence, this study aimed to explore and uncover hidden research topics and patterns in articles in terms of eating disorders over the last 30 years. In total, 4111 articles on eating disorders were analyzed using bibliometrics, network analyses, and structural topic modeling as the basis of mixed methods. In addition to general statistics about the journal, several key research topics, such as eating disorder (ED) treatment, ED symptoms, factors triggering ED, family related factors, eating behaviors, and social factors, were found based on topic correlations. This study found the key research variables that are frequently studied with EDs, such as AN, BN, BED, and ARFID. This study may help clinicians comprehend important risk factors associated with EDs. Moreover, the findings about key ED research topics and their association can be helpful for future studies to construct a comprehensive ED research framework. To our knowledge, this is the first study to use topic modeling in an academic journal on EDs and examine the diversity in ED research over 30 years of published research.

What Topics Do Members of the Eating Disorder Online Community Discuss and Empathize with? An Application of Big Data Analytics.

Given the stigma of eating disorders (EDs), anonymous online communities of individuals with EDs can play a critical role in their treatment. In our study, we aimed to identify prevalent topics related to EDs in one community. To discover latent topics in an online community dedicated to EDs, we applied an automated text-mining approach to topic modeling after collecting data from Reddit created between January 2011 and September 2020. As a result of topic modeling, topics regarding emotional support, informational support, and inquiries about EDs were discovered. In frequently asked questions and advice about EDs in the online community, community members empathized more with topics soliciting emotional support rather than informational support. Despite the importance of online communities, studies on this topic, especially those analyzing online conversations, have remained limited. By demonstrating the role of online communities in supplementary interventions, our findings can support clinicians in caring for patients with EDs.