Diagnosis of hypertrophic cardiomyopathy accompanied with primary aldosteronism-Case report.

Hypertrophic cardiomyopathy (HCM) is known to be the most prevalent genetic cardiac condition. However, there have been limited reports on the diagnosis of HCM accompanied by secondary hypertension and the subsequent systematic therapy. In this case report, we present the case of a 65-year-old male patient who presented with recurring chest discomfort during physical activity, along with refractory hypertension. Cardiac magnetic resonance imaging (MRI) and transthoracic echocardiogram(TTE) revealed the presence of HCM in this individual. Further investigation revealed hypokalemia, elevated aldosterone levels, decreased plasma renin activity, and an aldosterone-to-renin ratio above 30. These findings strongly indicated primary aldosteronism (PA) as an additional condition affecting this patient. Through the utilization of whole exome sequencing, we successfully identified a suspected pathogenic gene TTN as the underlying cause of the patient's condition. The presence of HCM accompanied by secondary hypertension due to PA resulted in significant enlargement of the left ventricle, particularly the ventricular septum. While certain genetic mutations may suggest a potential link to cardiomyopathy development, they cannot definitively establish a direct association between HCM and PA.

Passive estimation of target velocity based on cross-spectrum histogram.

In underwater acoustic target parameter estimation, the cross-spectrum method estimates the velocity of the target by the interference structure of the cross-correlated fields in two ranges. However, with the increase in interference in the marine environment, the performance of conventional cross-spectrum target velocity estimation methods gradually declines or even fails. To solve this problem, a cross-spectrum histogram method that combines the multi-line spectrum characteristics of the target is proposed in this paper. First, each frequency point of all line spectra is compensated by the cross-spectrum compensation method. Then the target velocity estimation value is obtained by performing probability distribution statistics on the velocity estimation results for all frequency points. Under different signal-to-noise ratios, simulations and experiments are carried out to verify the effectiveness of the proposed method. The results show that the proposed method is still effective in estimating the target velocity when the conventional method fails.

A scholarly network of AI research with an information science focus: Global North and Global South perspectives.

This paper primarily aims to provide a citation-based method for exploring the scholarly network of artificial intelligence (AI)-related research in the information science (IS) domain, especially from Global North (GN) and Global South (GS) perspectives. Three research objectives were addressed, namely (1) the publication patterns in the field, (2) the most influential articles and researched keywords in the field, and (3) the visualization of the scholarly network between GN and GS researchers between the years 2010 and 2020. On the basis of the PRISMA statement, longitudinal research data were retrieved from the Web of Science and analyzed. Thirty-two AI-related keywords were used to retrieve relevant quality articles. Finally, 149 articles accompanying the follow-up 8838 citing articles were identified as eligible sources. A co-citation network analysis was adopted to scientifically visualize the intellectual structure of AI research in GN and GS networks. The results revealed that the United States, Australia, and the United Kingdom are the most productive GN countries; by contrast, China and India are the most productive GS countries. Next, the 10 most frequently co-cited AI research articles in the IS domain were identified. Third, the scholarly networks of AI research in the GN and GS areas were visualized. Between 2010 and 2015, GN researchers in the IS domain focused on applied research involving intelligent systems (e.g., decision support systems); between 2016 and 2020, GS researchers focused on big data applications (e.g., geospatial big data research). Both GN and GS researchers focused on technology adoption research (e.g., AI-related products and services) throughout the investigated period. Overall, this paper reveals the intellectual structure of the scholarly network on AI research and several applications in the IS literature. The findings provide research-based evidence for expanding global AI research.

A Co-word Analysis of Selected Science Education Literature: Identifying Research Trends of Scaffolding in Two Decades (2000-2019).

This study aims to identify research trends of scaffolding in the field of science education. To this end, both descriptive analysis and co-word analysis were conducted to examine the selected articles published in the Social Science Citation Index journals from 2000 to 2019. A total of 637 papers were retrieved as research samples through rounds of searching in Web of Science database. Overall, this study reveals a growing trend of science educators' academic publications about scaffolding in the recent two decades. In these sample papers, from 1,487 non-repeated keywords, we extracted 286 author-defined keywords shared by at least two studies as a benchmark dictionary. A series of co-word analyses were then conducted based on the dictionary to reveal the underlying co-occurring relationships of the words in title and abstract of the sample papers. Results showed that "scaffolding," "support," and "design" were the top three most frequently used keywords during 2000 and 2019. Visualization of co-word networks in each 5-year period further helps clarify both educators' common research foci and relevant research trends. Derived discussion and potential research directions are also provided.

Factors influencing university teachers' use of a mobile technology-enhanced teaching (MTT) platform.

The main purpose of this study was to examine the critical factors influencing university teachers' use of a mobile technology-enhanced teaching (MTT) platform during the new coronavirus (COVID-19) epidemic. An integrated model with multiple factors drawing from the theoretical models and learning theories was proposed in this study to examine university teachers' intentions to use an MTT platform. The multiple factors included the individual factor (e.g., growth mindset, help seeking, and self-efficacy), the social factor (e.g., social norms), and the technological acceptance factor (e.g., perceived usefulness and perceived ease of use). The survey method was used to collect data on university teachers' perceptions of the MTT platform use, and a two-step structural equation modeling approach was used for the data analysis. Based on the path analysis of a total of 214 valid responses, the results identified that growth mindset, help seeking, and self-efficacy from the individual factor, as well as perceived usefulness from the technology acceptance factor were the significant determinants of university teachers' intentions to adopt the MTT. The contributions of this study are twofold. First, the proposed model was derived from multiple literature sources, providing a sound theoretical foundation to understand MTT platform use from an academic angle. Second, university teachers' viewpoints are a unique observation of their actual platform use, providing practical insights into the improvement and maintenance of MTT-related platforms for all educators. The findings are especially valuable during the post-COVID-19 era.

An Empirical Exploration of Sports Sponsorship: Activation of Experiential Marketing, Sponsorship Satisfaction, Brand Equity, and Purchase Intention.

The purpose of this study is to investigate the relationship between the activation of experiential marketing, satisfaction with sponsored sporting events, brand equity, and subsequent product purchase intentions in a small-scale sponsorship campaign. Survey data were collected from 238 actual runners in the terminal rest area after they had completed a race. Structural equation modeling with the bootstrap method was carried out to examine the proposed hypotheses. Results revealed that in terms of product purchase intention, brand equity was the most influential factor, followed by experiential marketing activation and satisfaction with the sponsorship. Specifically, experiential marketing activation significantly influenced the sports sponsorship and the sponsor's brand equity; however, satisfaction showed an insignificant effect on purchase intention. In addition, the mediation test shows that brand equity is an important mediator of experience marketing and satisfaction to product purchase intention. Findings provide some empirical insights into how small-scale sponsorship can benefit sponsoring companies, including intangible brand assets and tangible product consumption. The results could encourage more companies to organize small-scale sponsorship races and to present brand-related experiences (e.g., experiencing product packaging, on-the-spot experience areas). In this way, opportunities may be provided to attract more runners (or potential consumers) to participate in the event and have a deeper brand experience. This study contributes to a better understanding of the effectiveness of small-scale sponsorship in Asia to increase the generalization of the small sponsorship literature. Small-scale sporting events can bring public attention and economic benefits to the host company, and encourage more people to participate, thereby resulting in long-term social and health benefits in the community.

Directions of the 100 most cited nursing student education research: A bibliometric and co-citation network analysis.

AIMS: To identify and analyze the 100 most cited articles on nursing student education (NSE) that were published in nursing journals. BACKGROUND: The citation frequency of an article indicates its scientific impact. Analyzing highly cited articles on NSE enabled researchers to identify mainstream research types and acquire relevant information and knowledge. DESIGN: A retrospective bibliometric analysis with co-citation network analysis. DATA SOURCES: We searched for journal articles on NSE from the Web of Science, and analyzed the 100 most cited articles (date of search: June 3, 2020). REVIEW METHODS: The theme, article type, journal, country, source of institutional articles, and publication year were counted and analyzed. The citation relationships among the most 100 cited articles of NSE were calculated and visualized. RESULTS: Articles included in this study were mostly empirical quantitative studies with a cross-sectional design, and were published in international nursing journals between 2000 and 2020. Their authors were mostly from the United States and the United Kingdom. According to the co-citation network analysis, four main research directions were identified: workplace mental health, simulation learning, spiritual care, and medication administration. CONCLUSION: Workplace mental health was the major research topic on NSE. This research topic has spanned two decades (2000-2020). These articles were mainly published in the Journal of Advanced Nursing and Nurse Education Today. Some recent research topics, such as simulation learning and spiritual care were also identified. Findings provide a fresh review of the highly cited NSE articles, including the visualization of the NSE network.

H2S inhibits angiotensin II-induced atrial Kv1.5 upregulation by attenuating Nox4-mediated ROS generation during atrial fibrillation.

Our previous study demonstrated that angiotensin II (Ang II) upregulates the expression of Kv1.5, a promising target for atrial fibrillation (AF) therapy, by activating ROS-dependent P-Smad2/3 and P-ERK 1/2. A recent study showed that hydrogen sulfide (H2S) may modulate the effects of angiotensin II (Ang II) by inhibiting the NADPH oxidase 4 (Nox4)-ROS signaling in the heart. The present study aimed to determine whether H2S is involved in the regulation of atrial Kv1.5 via ROS-related mechanisms in AF. Cultured neonatal rat atrial myocytes and a beagle model of AF were used for this study. In the neonatal rat atrial myocytes, quantitative PCR and enzyme immunoassays revealed that the mRNA expression levels of angiotensinogen, angiotensin-converting enzyme, and Ang II type I receptor (AT1R) and the Ang II supernatant concentration were significantly increased by hydrogen peroxide (H2O2) incubation, and these H2O2-induced alterations were reversed by diphenyleneiodonium, apocynin and H2S supplementation. Flow cytometry and Western blotting revealed that blockade of H2S biosynthesis using dl-propargylglycine increased ROS production and the expression of Ang II and Kv1.5. Sodium hydrosulfide (an exogenous H2S donor) and Nox4 siRNA inhibited Ang II-induced ROS production and Ang II-induced expression of Kv1.5, P-Smad2/3, P-ERK 1/2. Sodium hydrosulfide suppressed the Ang II-induced upregulation of Nox4. In our beagle AF model, 24 h of rapid atrial pacing (RAP) increased the atrial Ang II concentration, ROS production and the protein expression of Nox4, Kv1.5, P-Smad2/3 and P-ERK 1/2. These RAP-induced changes were inhibited by H2S supplementation and losartan (an AT1R blocker) pretreatment. In conclusion, our study indicates that H2S downregulates Ang II-induced atrial Kv1.5 expression by attenuating Nox4-related ROS-triggered P-Smad2/3 and P-ERK 1/2 activation during AF. H2S supplementation would be beneficial for AF treatment via the suppression of atrial Kv1.5 expression.

The secretion patterns and roles of cardiac and circulating arginine vasopressin during the development of heart failure.

OBJECTIVE: The aim of this study is to investigate local cardiac and circulating AVP secretion during heart failure and to determine whether AVP mediates ventricular remodeling. METHODS: We assessed cardiac function and AVP levels of post-myocardial infarction (MI) heart-failure rats 3 weeks (n = 10), 4 weeks (n = 10), 6 weeks (n = 10), 9 weeks (n = 15) after the proximal left anterior descending coronary artery (LAD) ligation. Ten sham-operated rats were used as the control group. In vitro, cardiac microvascular endothelial cells (CMECs) were initiated from isolated Wistar rat hearts and subjected to Ang II to induce AVP expression and secretion. Besides, the effects of AVP stimulation on CMECs and cardiac fibroblasts (CFs) were studied using methylthiazol tetrazolium assay, Western blotting and real-time PCR. RESULTS: With cardiac dysfunction, plasma and local cardiac AVP, aldosterone levels increased over time, peaking at 9 weeks post-MI. AVP levels were negatively correlated with serum Na(+) and LVEF but positively correlated with LVEDD and myocardial hydroxyproline. In CMECs treated with Ang II, AVP mRNA and protein expression increased. In addition, AVP promoted CFs proliferation and up-regulated the expression of endothelin-1 and connective tissue growth factor. CONCLUSION: CMECs are the cellular sources of elevated local heart AVP stimulated with Ang II/AT1. An intrinsic cardiac AVP system exists. Local cardiac and circulating AVP secretion were enhanced by deteriorating cardiac function. AVP may promote ventricular remodeling. Thus, AVP could be an important mediator of myocardial fibrosis in late-stage heart failure.