No abstract

Reduction ascending aortoplasty shows good early results in patients with aortic valve disease and dilatation of the ascending aorta. Redilatation tends to happen in patients with BAV, and long-term follow-up is necessary.

To tackle phishing attacks, recent research works have resorted to the application of machine learning (ML) algorithms, yielding promising results. Often, a binary classification model is trained on labeled datasets of benign and phishing URLs (and contents) obtained via crawling. While phishing classifiers have high accuracy (precision and recall), they, however, are also prone to adversarial attacks wherein an adversary tries to evade the ML-based classifier by mimicking (feature values of) benign web pages. Based on this observation, in our work, we propose a simple approach to build a robust phishing page detection system. Our detection system, based on voting, employs multiple models, such that each model is trained by inserting (controlled) noises in a subset of randomly selected features from the full feature set. We conduct comprehensive experiments using real datasets, and based on a number of evasive strategies, evaluate the robustness of, both, the traditional native ML model and our proposed detection system. The results demonstrate that our proposed system, on one hand, performs close to the native model when there is no adversarial attack, and on the other hand, is more robust against evasion attacks than the native model.

Here, we demonstrate the design and application of a multifunctional piezoelectric composite nanofiber membrane. In this study, the most widely used electrospinning method, by adding a small amount of 1-allyl-3-butylimidazolium tetrafluoroborate ionic liquids and ferric chloride hexahydrate (FeCl 3 Á6H 2 O) to regulate the structure and properties of polyacrylonitrile (PAN), the mechanical properties, piezoelectric properties, dielectric properties, and ferroelectric properties of composite nanofibers were improved. The results show that the piezoelectric properties of PAN composite fibers are greatly improved under the action of dual fillers. At 10 3 Hz, the dielectric constant of the PAN composite fiber is as high as 8.24, which is three times that of the pure PAN fiber. The sensor made from the composite nanofibers exhibits excellent sensitivity and high saturation polarization. At low pressure (<1 kPa), the sensitivity of the composite fiber is as high as 0.51 kPa. When we tap the sensor with our finger, the PAN composite fiber produces high piezoelectric output (5.7 V). The results show that the composite nanofibers have great potential in energy storage devices and flexible piezoelectric sensors, among other fields.

No abstract