We address the problem of gauging the influence exerted by a given country on the global trade market from the viewpoint of complex networks. In particular, we apply the PWP method for computing indirect influences on the world trade network.

The fine-grained soil including the problematic ones can cause many difficulties in project accomplishment. Settlement and swelling are among the problems of the fine-grained soils. The present study compared the effects of the polypropylene waste plastic (PWP) and glass fiber reinforced polymer (GFRP) on geotechnical properties of the clayey soils for the subgrade design. To this end, the PWP ...

This paper presents a speech enhancement method, where an adaptive threshold is statistically determined based on Gaussian modeling of Teager energy (TE) operated perceptual wavelet packet (PWP) coe cients of noisy speech. In order to obtain an enhanced speech, the threshold thus derived is applied upon the PWP coe cients by employing a Gaussian pdf dependent custom thresholding function, which...

In many biomedical studies, the event of interest can occur more than once in a participant. These events are termed recurrent events. However, the majority of analyses focus only on time to the first event, ignoring the subsequent events. Several statistical models have been proposed for analysing multiple events. In this paper we explore and illustrate several modelling techniques for analysi...

Abstract To achieve the goal of sustainable employment, considering profile Portuguese working population (PWP), is needed a range strategies to ensure long, productive, and careers allied with better quality life, health, wellbeing, but also public health policies grounded on scientifically validated reliable data. This possible through comprehensive system approach that ensures workers will b...

In this paper, a 2-stage cascaded deep learning framework, Port Wave Prediction Network (PWPNet), is proposed for real-time prediction of significant wave height (SWH) distribution in port. The PWP-out model the first stage, predicting port-entrance parameters, utilizes three branches, branch using Long Short Term Memory (LSTM) module to learn temporal dependencies time sequences second and Win...

BACKGROUND Right ventricular (RV) afterload is an important risk factor for post-heart transplantation (HTx) mortality, and it results from the interaction between pulmonary vascular resistance (PVR) and pulmonary compliance (CPA). Their product, the RC time, is believed to be constant. An exception is observed in pulmonary hypertension because of elevated left ventricular (LV) filling pressure...