MOTIVATION The classification of high-dimensional data is always a challenge to statistical machine learning. We propose a novel method named shallow feature selection that assigns each feature a probability of being selected based on the structure of training data itself. Independent of particular classifiers, the high dimension of biodata can be fleetly reduced to an applicable case for conse...

Identification of the associations between microRNA molecules and human diseases from large-scale heterogeneous biological data is an important step for understanding the pathogenesis of diseases in microRNA level. However, experimental verification of microRNA-disease associations is expensive and time-consuming. To overcome the drawbacks of conventional experimental methods, we presented a co...

We thank Light and Warburton (2005) [hereafter LW] for providing a context for us to further discuss and clarify our studies on the cost of new drug development (DiMasi et al., 2003 [hereafter DHG]; DiMasi et al., 1991b [hereafter DHGL]; Hansen, 1979). We disagree, however, with their analyses, comparators, and conclusions. Although LW suggest, through the invocation of selected reported cost f...

OBJECTIVE To translate the MD Anderson Dysphagia Inventory (MDADI) which is a self-administered questionnaire that assesses effect of dysphagia on the quality of life for patients with head and neck cancer, into Korean and to verify the validity and reliability of the Korean version of MDADI. METHODS We performed 6 steps for the cross-cultural adaptation which consisted of translation, synthe...

Land surface temperature (LST) plays an important role in many fields. However, the limited spatial resolution of current thermal sensors impedes the utilization of LSTs. Based on a theoretical framework of thermal sharpening, this report presents an Enhanced Generalized Theoretical Framework (EGTF) to downscale LSTs using multi-spectral (MS) and multi-resolution images. MS proxy-sharpening and...

This paper presents a new version of radiative transfer model called the Fast Line-by-Line Model (FLBLM), which is based on the Line-by-Line (LbL) and Monte Carlo (MC) methods and rigorously treats particulate and molecular scattering alongside absorption. The advantage of this model consists in the use of the line-by-line model that allows for the computing of high-resolution spectra quite qui...

Purpose – Slim and dexterous manipulators with long reaches can perform various exploration and inspection tasks in confined spaces. This paper aims to present the development of such a dexterous continuum manipulator for potential applications in the aviation industry. Design/methodology/approach – Benefiting from a newly conceived dual continuum mechanism and the improved actuation scheme, th...

Proteomic techniques are promising strategies in the surveillance of hepatocellular carcinoma (HCC). This study aimed to investigate the serum profiling with magnetic bead (MB) and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) and to further identify the biomarkers for HCC. Serum samples from 80 chronic hepatitis B (CHB) patients, 94 HCC concomita...

Capsule Discriminant functions based on morphometric variables provide a reliable method for sex identification of free-living and hacked young Ospreys. Aims To describe an easy, accurate and low-cost method for sex determination of fully grown nestling and fledgling Ospreys Pandion haliaetus based on morphometric measurements. Methods Four different measurements were taken in 114 birds (40–73 ...