Using short films for the effective promotion of entrepreneurship

Mass media formats such as films may affect attitude and behavior at social, group or individual level. Existing literature lack sufficient evidence and results on the way according to which, films may influence in a positive manner entrepreneurial attitude. Research and results reported herein provide insight with respect to different executional factor formats that can be used in the design of effective short-films aimed toward fostering positive entrepreneurial attitude. Drawing on a sample of 221 engineering students and by means of Conjoint Analysis, we launched an experimental investigation aiming to understand perceived preferences for different combinations of short films' executional characteristics. Results suggest that the source of the message is perceived as the most important factor for the construction of effective short films followed by the length of the film. Research results reported herein represent a first step towards the better understanding of the design and construction of effective audiovisual means for the promotion of entrepreneurship and hence maximize the use of limited funding sources

Anti-inflammatory activity of Chios mastic gum is associated with inhibition of TNF-alpha induced oxidative stress

<p>Abstract</p> <p>Background</p> <p>Gum of Chios mastic (<it>Pistacia lentiscus var. chia) </it>is a natural antimicrobial agent that has found extensive use in pharmaceutical products and as a nutritional supplement. The molecular mechanisms of its anti-inflammatory activity, however, are not clear. In this work, the potential role of antioxidant activity of Chios mastic gum has been evaluated.</p> <p>Methods</p> <p>Scavenging of superoxide radical was investigated by electron spin resonance and spin trapping technique using EMPO spin trap in xanthine oxidase system. Superoxide production in endothelial and smooth muscle cells stimulated with TNF-α or angiotensin II and treated with vehicle (DMSO) or mastic gum (0.1-10 μg/ml) was measured by DHE and HPLC. Cellular H₂O₂was measured by Amplex Red. Inhibition of protein kinase C (PKC) with mastic gum was determined by the decrease of purified PKC activity, by inhibition of PKC activity in cellular homogenate and by attenuation of superoxide production in cells treated with PKC activator phorbol 12-myristate 13-acetate (PMA).</p> <p>Results</p> <p>Spin trapping study did not show significant scavenging of superoxide by mastic gum itself. However, mastic gum inhibited cellular production of superoxide and H₂O₂in dose dependent manner in TNF-α treated rat aortic smooth muscle cells but did not affect unstimulated cells. TNF-α significantly increased the cellular superoxide production by NADPH oxidase, while mastic gum completely abolished this stimulation. Mastic gum inhibited the activity of purified PKC, decreased PKC activity in cell homogenate, and attenuated superoxide production in cells stimulated with PKC activator PMA and PKC-dependent angiotensin II in endothelial cells.</p> <p>Conclusion</p> <p>We suggest that mastic gum inhibits PKC which attenuates production of superoxide and H₂O₂by NADPH oxidases. This antioxidant property may have direct implication to the anti-inflammatory activity of the Chios mastic gum.</p

Epicardial adipose tissue measured by magnetic resonance imaging predicts abnormal adenosine stress cardiovascular magnetic resonance imaging and future adverse cardiovascular events

Background A growing body of evidence demonstrates a quantitative association between Epicardial Adipose Tissue (EAT), cardiometabolic risk factors and measures of coronary artery disease (CAD). It is still unclear, however, if EAT is predictive of abnormal functional stress tests and clinical outcomes. The aim of this study is to elucidate the relationship between the total volume of EAT, the detection of ischemia and/or infarct with Adenosine Stress Cardiovascular Magnetic Resonance imaging (AS-CMR), and combined future adverse cardiovascular events. Method

HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes

The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer learning approaches result in suboptimal performance when pre-training is done on natural images. We leveraged masked image modeling to create the first vision-based transformer model, HeartBEiT, for electrocardiogram waveform analysis. We pre-trained this model on 8.5 million ECGs and then compared performance vs. standard CNN architectures for diagnosis of hypertrophic cardiomyopathy, low left ventricular ejection fraction and ST elevation myocardial infarction using differing training sample sizes and independent validation datasets. We show that HeartBEiT has significantly higher performance at lower sample sizes compared to other models. Finally, we also show that HeartBEiT improves explainability of diagnosis by highlighting biologically relevant regions of the EKG vs. standard CNNs. Thus, we present the first vision-based waveform transformer that can be used to develop specialized models for ECG analysis especially at low sample sizes

Association of Systemic Inflammatory Response Syndrome With Cardiovascular Events After Mitral Transcatheter Edge-to-Edge Repair

Background: Systemic inflammatory response syndrome (SIRS) following cardiovascular interventions is associated with adverse events during hospitalization and follow-up. Mitral transcatheter edge-to-edge repair is increasingly utilized for treatment of mitral regurgitation (MR). We investigated whether SIRS following mitral transcatheter edge-to-edge repair may occur and be associated with adverse clinical outcomes. Methods and results: A total of 158 consecutive patients with severe MR undergoing mitral transcatheter edge-to-edge repair were studied. SIRS was defined by leukocytosis (≥12 × 109/L) and fever (≥38 °C) within 48 hours after intervention. Baseline inflammation was measured by absolute neutrophil and lymphocyte counts and neutrophil-lymphocyte ratio. The primary end point of major cardiovascular events was the composite of nonfatal myocardial infarction, nonfatal stroke, and all-cause death. Recurrent MR at follow-up was also recorded. The mean patient age was 80.8±8.8 years. Forty-four (27.9%) developed SIRS. Neutrophil-lymphocyte ratio correlated with onset of leukocytosis and fever (P=0.04). During a median follow-up of 12.5 (5.4-17.4) months, the primary end point occurred in 27 (17.1%) patients (6 myocardial infarction, 5 strokes, and 16 deaths). Patients with SIRS more often had severe MR (79.5% versus 62.7%, P=0.02) at follow-up. After adjustment for pertinent variables, SIRS (HR 2.73 [95% CI, 1.08-6.86]; P=0.03) was independently associated with major cardiovascular events. Conclusions: SIRS after mitral transcatheter edge-to-edge repair is a strong independent predictor of major cardiovascular events. Closer follow-up is warranted because patients with SIRS have more severe MR at follow-up

Soluble Urokinase Plasminogen Activator Receptor Level Is an Independent Predictor of the Presence and Severity of Coronary Artery Disease and of Future Adverse Events

Introduction Soluble urokinase plasminogen activator receptor (suPAR) is an emerging inflammatory and immune biomarker. Whether suPAR level predicts the presence and the severity of coronary artery disease (CAD), and of incident death and myocardial infarction (MI) in subjects with suspected CAD, is unknown. Methods and Results We measured plasma suPAR levels in 3367 subjects (67% with CAD) recruited in the Emory Cardiovascular Biobank and followed them for adverse cardiovascular (CV) outcomes of death and MI over a mean 2.1±1.1 years. Presence of angiographic CAD (≥50% stenosis in ≥1 coronary artery) and its severity were quantitated using the Gensini score. Cox\u27s proportional hazard survival and discrimination analyses were performed with models adjusted for established CV risk factors and C-reactive protein levels. Elevated suPAR levels were independently associated with the presence of CAD (P\u3c0.0001) and its severity (P\u3c0.0001). A plasma suPAR level ≥3.5 ng/mL (cutoff by Youden\u27s index) predicted future risk of MI (hazard ratio [HR]=3.2; P\u3c0.0001), cardiac death (HR=2.62; P\u3c0.0001), and the combined endpoint of death and MI (HR=1.9; P\u3c0.0001), even after adjustment of covariates. The C-statistic for a model based on traditional risk factors was improved from 0.72 to 0.74 (P=0.008) with the addition of suPAR. Conclusion Elevated levels of plasma suPAR are associated with the presence and severity of CAD and are independent predictors of death and MI in patients with suspected or known CAD