40,238 research outputs found
LEAF CARBON-ISOTOPE DISCRIMINATION AND VEGETATIVE RESPONSES OF DRYAS-OCTOPETALA TO TEMPERATURE AND WATER MANIPULATIONS IN A HIGH ARCTIC POLAR SEMIDESERT, SVALBARD
Surface Effects of Flame Spreading over Igniting Composite Solid Propellants Constituents
Flame spreading over surface of igniting composite solid propellant constituent
Statistical Shape Analysis using Kernel PCA
©2006 SPIE--The International Society for Optical Engineering. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
The electronic version of this article is the complete one and can be found online at: http://dx.doi.org/10.1117/12.641417DOI:10.1117/12.641417Presented at Image Processing
Algorithms and Systems, Neural Networks, and Machine Learning, 16-18 January 2006, San Jose, California, USA.Mercer kernels are used for a wide range of image and signal processing tasks like de-noising, clustering, discriminant analysis etc. These algorithms construct their solutions in terms of the expansions in a high-dimensional feature space F. However, many applications like kernel PCA (principal component analysis) can be used more effectively if a pre-image of the projection in the feature space is available. In this paper, we propose a novel method to reconstruct a unique approximate pre-image of a feature vector and apply it for statistical shape analysis. We provide some experimental results to demonstrate the advantages of kernel PCA over linear PCA for shape learning, which include, but are not limited to, ability to learn and distinguish multiple geometries of shapes and robustness to occlusions
Diagnostics of accelerating plasma Semiannual progress report, 1 Mar. - 31 Aug. 1968
Plasma diagnostics in electromagnetically driven shock tubes using laser scattering methods as compared to spectroscopic technique
Effects of fear-avoidance beliefs on Chinese patients with neck pain.
Key Messages 1. The Chinese version of the Fear-Avoidance Beliefs Questionnaire (FABQ) has good content validity, testretest reliability, internal consistency, construct validity, responsiveness, and factor structure. Thus, fear-avoidance beliefs can be used in Chinese patients with neck pain. 2. The validated FABQ facilitates future research on the effects of fear-avoidance behaviour on patients with neck pain and hence a better service for and evaluation of patients with neck pain can be provided. It may also facilitate cross-cultural studies on this common problem between western and Chinese populations. 3. The construct of fear-avoidance beliefs can be applied to patients with neck pain. 4. The fear-avoidance beliefs are an important psychosocial measure in predicting future disability level and return to complete work capacity (immediately and 3 months after physiotherapy).published_or_final_versio
A lightweight assessment method for medical device software processes
This paper outlines the MDevSPICE-Adept process assessment method. MDevSPICE-Adept is a lightweight process assessment method that has been created for the MDevSPICE software process assessment model which is currently being developed for the medical device industry. MDevSPICE is a fully validated release of a medical device software process assessment model (formerly known as Medi SPICE), which was developed by the authors. While the MDevSPICE process assessment model is detailed and comprehensive, there is industry demand for a lightweight medical device software process assessment method. To address this requirement the MDevSPICE-Adept method has been developed. Details on how this has taken place and the procedures for implementing an MDevSPICE-Adept process assessment are presented. Information is also provided regarding how an MDevSPICE process assessment was undertaken in an Irish based medical device company. A summary of the issues identified from this process assessment and the actions taken to facilitate process improvement is also presented. Finally, plans for future work are discussed
PowerAqua: fishing the semantic web
The Semantic Web (SW) offers an opportunity to develop novel, sophisticated forms of question answering (QA). Specifically, the availability of distributed semantic markup on a large scale opens the way to QA systems which can make use of such semantic information to provide precise, formally derived answers to questions. At the same time the distributed, heterogeneous, large-scale nature of the semantic information introduces significant challenges. In this paper we describe the design of a QA system, PowerAqua, designed to exploit semantic markup on the web to provide answers to questions posed in natural language. PowerAqua does not assume that the user has any prior information about the semantic resources. The system takes as input a natural language query, translates it into a set of logical queries, which are then answered by consulting and aggregating information derived from multiple heterogeneous semantic sources
KIAA1114, a full-length protein encoded by the trophinin gene, is a novel surface marker for isolating tumor-initiating cells of multiple hepatocellular carcinoma subtypes
Identification of novel biomarkers for tumor-initiating cells (TICs) is of critical importance for developing diagnostic and therapeutic strategies against cancers. Here we identified the role of KIAA1114, a full-length translational product of the trophinin gene, as a distinctive marker for TICs in human liver cancer by developing a DNA vaccine-induced monoclonal antibody targeting the putative extracellular domain of KIAA1114. Compared with other established markers of liver TICs, KIAA1114 was unique in that its expression was detected in both alpha fetoprotein (AFP)-positive and AFP-negative hepatocellular carcinoma (HCC) cell lines with the expression levels of KIAA1114 being positively correlated to their tumorigenic potentials. Notably, KIAA1114 expression was strongly detected in primary hepatic tumor, but neither in the adjacent non-tumorous tissue from the same patient nor normal liver tissue. KIAA1114(high) cells isolated from HCC cell lines displayed TIC-like features with superior functional and phenotypic traits compared to their KIAA1114(low) counterparts, including tumorigenic abilities in xenotransplantation model, in vitro colony- and spheroid-forming capabilities, expression of stemness-associated genes, and migratory capacity. Our findings not only address the value of a novel antigen, KIAA1114, as a potential diagnostic factor of human liver cancer, but also as an independent biomarker for identifying TIC populations that could be broadly applied to the heterogeneous HCC subtypes.X1110Nsciescopu
Ab initio diffusional potential energy surface for CO chemisorption on Pd{110} at high coverage: Coupled translation and rotation
[[abstract]]The ground statepotential energy surface for CO chemisorption across Pd{110} has been calculated using density functional theory with gradient corrections at monolayer coverage. The most stable site corresponds well with the experimental adsorption heat, and it is found that the strength of binding to sites is in the following order: pseudo-short-bridge>atop>long-bridge>hollow. Pathways and transition states for CO surfacediffusion, involving a correlation between translation and orientation, are proposed and discussed.[[notice]]補正完畢[[journaltype]]國外[[booktype]]紙本[[countrycodes]]US
Brain potentials evoked by intraepidermal electrical stimuli reflect the central sensitization of nociceptive pathways
Central sensitization (CS), the increased sensitivity of the central nervous system to somatosensory inputs, accounts for secondary hyperalgesia, a typical sign of several painful clinical conditions. Brain potentials elicited by mechanical punctate stimulation using flat-tip probes can provide neural correlates of CS, but their signal-to-noise ratio is limited by poor synchronisation of the afferent nociceptive input. Additionally, mechanical punctate stimulation does not activate nociceptors exclusively. In contrast, low-intensity intra-epidermal electrical stimulation (IES) allows selective activation of type-II Aδ mechano-heat nociceptors (II-AMHs), and elicits reproducible brain potentials. However, it is unclear whether hyperalgesia from IES occurs and co-exists with secondary mechanical punctate hyperalgesia, and whether the magnitude of the EEG responses evoked by IES within the hyperalgesic area is increased. To address these questions, we explored the modulation of the psychophysical and EEG responses to IES by intra-epidermal injection of capsaicin in healthy human subjects. We obtained three main results. First, the intensity of the sensation elicited by IES was significantly increased in participants who developed robust mechanical punctate hyperalgesia after capsaicin injection (i.e., responders), indicating that hyperalgesia from IES co-exists with punctate mechanical hyperalgesia. Second, the N2 peak magnitude of the EEG responses elicited by IES were significantly increased after the intra-epidermal injection of capsaicin in responders only. Third, a receiver-operator characteristics analysis showed that the N2 peak amplitude is clearly predictive of the presence of CS. These findings suggest that the EEG responses elicited by IES reflect secondary hyperalgesia, and therefore represent an objective correlate of CS
- …
