To examine whether age differentially modifies the physiological response to exercise in men and women, we performed gated radionuclide ventriculography with measurement of left ventricular volumes at rest and during peak upright cycle exercise in 200 rigorously screened healthy sedentary volunteers (121 men and 79 women) aged 22-86 yr from the Baltimore Longitudinal Study of Aging. At rest in ...

The bit error rate (BER) of visible light communications (VLC) based on emitting diodes (LEDs) has been limited due to the nonlinearity LED. Artificial neural networks (ANNs) predistorters were applied mitigate impacts LED nonlinearity. However, none them can efficiently approach performance linear VLC systems overfitting issue. In this paper, we for first time propose a predistorter with adapt...

Wepropose the reduced twin support vector regressor (RTSVR) that uses the notion of rectangular kernels to obtain significant improvements in execution time over the twin support vector regressor (TSVR), thus facilitating its application to larger sized datasets. & 2011 Elsevier B.V. All rights reserved.

The development of new and implementation existing methods field assessment winter wheat genotypes is one the key tasks modern breeding. use screening in breeding allows breeder to get a more objective assessment, as well increase volume studied samples several times. time spring vegetation recovery (TSVR) stages period wheat. Biometric spectral with onset TSVR establishing how plants certain g...

BACKGROUND Although cardiac output index (CI), stroke volume index (SVI), and total systemic vascular resistance (TSVR) are important hemodynamic parameters for the prognosis of chronic heart failure (CHF), they are difficult to measure in an outpatient setting. Whole body bioimpedance monitoring using a Non-Invasive Cardiac System (NICaS) allows for easy, non-invasive estimation of these param...

Zero-Shot Learning (ZSL) learns models for recognizing new classes. One of the main challenges in ZSL is domain discrepancy caused by category inconsistency between training and testing data. Domain adaptation most intuitive way to address this challenge. However, existing techniques cannot be directly applied into due disjoint label space source target domains. This work proposes Transferrable...

BACKGROUND The purpose of this study was to assess the advantages and disadvantages of 3D gray-scale and power Doppler ultrasound, including thin slice volume rendering (TSVR), applied for evaluation of thyroid nodules. METHODS The retrospective evaluation by two observers of volumes of 71 thyroid nodules (55 benign, 16 cancers) was performed using a new TSVR technique. Dedicated 4D ultrasoun...

Although the machine-learning model demonstrates high accuracy in wind speed prediction, it struggles to accurately depict fluctuation range of predicted values due inherent uncertainty sequences. To address this limitation and enhance reliability, we propose an effective interval prediction that combines twin support vector regression (TSVR), variational mode decomposition (VMD), slime mould a...

Abstract: In this paper a new algorithm to identify Auto-Regressive Exogenous Models (ARX) based on Twin Support Vector Machine Regression (TSVR) has been developed. The model is determined by minimizing two ε insensitive loss functions. One of them determines the ε1-insensitive down bound regressor while the other determines the ε2-insensitive up-bound regressor. The algorithm is compared to S...