Search results for "processing"
showing 10 items of 8572 documents
High frequency of a non-functional TAP1/LMP2 promoter polymorphism in human tumors
2002
The Tap1 and Tap2 genes encoding for a heterodimeric peptide transporter play a key role in antigen processing and presentation. The TAP complex mediates the transport of peptides generated by the IFN-gamma-inducible proteasome subunits LMP2, 7 and 10 from the cytosol into the endoplasmic reticulum (ER), where they bind to MHC class I molecules. In contrast to the frequent polymorphisms within the rat Tap genes which exert functional differences, polymorphic regions within the human Tap genes have been demonstrated, but not systematically analyzed in terms of their functional significance. Both the Tap1 and Lmp2 genes are transcribed from a bidirectional intergenic promoter which is regulat…
Isolation of naturally processed peptides recognized by cytolytic T lymphocytes (CTL) on human melanoma cells in association with HLA-A2.1.
1994
Cytolytic T lymphocyte (CTL) clones have previously been derived from peripheral blood of melanoma patient SK29(AV). They lyse autologous melanoma cells but not autologous Epstein-Barr virus (EBV)-transformed B lymphocytes. Immunoselection experiments indicate that these CTL clones recognize 4 different antigens (Aa, Ab, B, C) in association with a single HLA restriction element, HLA-A2.1. While the expression of antigens B and C appears to be confined to SK29-melanoma cells, antigens Aa and Ab are shared by a high proportion of allogeneic HLA-A2-positive melanoma lines. HLA-A2.1 and total HLA class I molecules have now been purified from SK29-melanoma cells using affinity chromatography an…
Unmanned aerial system imagery and photogrammetric canopy height data in area-based estimation of forest variables
2015
In this paper we examine the feasibility of data from unmanned aerial vehicle (UAV)-borne aerial imagery in stand-level forest inventory. As airborne sensor platforms, UAVs offer advantages cost and flexibility over traditional manned aircraft in forest remote sensing applications in small areas, but they lack range and endurance in larger areas. On the other hand, advances in the processing of digital stereo photography make it possible to produce three-dimensional (3D) forest canopy data on the basis of images acquired using simple lightweight digital camera sensors. In this study, an aerial image orthomosaic and 3D photogrammetric canopy height data were derived from the images acquired …
Relating Hyperspectral Airborne Data to Ground Measurements in a Complex and Discontinuous Canopy
2015
The work described in this paper is aimed at validating hyperspectral airborne reflectance data collected during the Regional Experiments For Land-atmosphere EXchanges (REFLEX) campaign. Ground reflectance data measured in a vineyard were compared with airborne reflectance data. A sampling strategy and subsequent ground data processing had to be devised so as to capture a representative spectral sample of this complex crop. A linear model between airborne and ground data was tried and statistically tested. Results reveal a sound correspondence between ground and airborne reflectance data (R2 > 0.97), validating the atmospheric correction of the latter.
A novel thermoeconomic analysis under dynamic operating conditions for space heating and cooling systems
2019
Abstract Thermoeconomic analysis allows for a deep understanding of the cost formation process within an energy system, providing insights into the possible routes for improvement. Several thermoeconomic approaches are well-established for application in systems with steady operating conditions, such as power plants, while a limited number of applications to air-conditioning systems in buildings have been proposed, due to the difficulties in dealing with very irregular load profiles and unsteady plant operating conditions. This study investigates the potential of Thermoeconomics as a support for decision making in building energy systems, proving its capability to identify trade-offs betwee…
GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation
2018
In this paper, we propose a fully automatic MRI cardiac segmentation method based on a novel deep convolutional neural network (CNN) designed for the 2017 ACDC MICCAI challenge. The novelty of our network comes with its embedded shape prior and its loss function tailored to the cardiac anatomy. Our model includes a cardiac center-of-mass regression module which allows for an automatic shape prior registration. Also, since our method processes raw MR images without any manual preprocessing and/or image cropping, our CNN learns both high-level features (useful to distinguish the heart from other organs with a similar shape) and low-level features (useful to get accurate segmentation results).…
The automated assesment of artery hemodynamic parameters from ultrasound video
2012
The custom designed video processing software for analysis of B-mode and Doppler-mode ultrasound video has been proposed in this work. The software allows adjusting user-defined thresholds and tolerance levels to enhance contour detection in noisy and artifacted ultrasound images. The developed software is able to evaluate 16 hemodynamic parameters (artery diameter, pulse rate and flow velocity related parameters) in each cardiac cycle. The measurements were performed intermittently recording artery diameter (B-mode) and flow velocity (Doppler-mode). Software has validated in femoral artery measurements. The hemodynamic parameters computed by software were consistent with those obtained by …
An integrated approach based on uniform quantization for the evaluation of complexity of short-term heart period variability: Application to 24 h Hol…
2007
We propose an integrated approach based on uniform quantization over a small number of levels for the evaluation and characterization of complexity of a process. This approach integrates information-domain analysis based on entropy rate, local nonlinear prediction, and pattern classification based on symbolic analysis. Normalized and non-normalized indexes quantifying complexity over short data sequences (â¼300 samples) are derived. This approach provides a rule for deciding the optimal length of the patterns that may be worth considering and some suggestions about possible strategies to group patterns into a smaller number of families. The approach is applied to 24 h Holter recordings of …
Comparison between doppler-echocardiography and uncalibrated pulse contour method for cardiac output measurement. a multicenter observational study
2016
Objectives: Echocardiography and pulse contour methods allow, respectively, noninvasive and less invasive cardiac output estimation. The aim of the present study was to compare Doppler echocardiography with the pulse contour method MostCare for cardiac output estimation in a large and nonselected critically ill population. Design: A prospective multicenter observational comparison study. Setting: The study was conducted in 15 European medicosurgical ICUs. Patients: We assessed cardiac output in 400 patients in whom an echocardiographic evaluation was performed as a routine need or for cardiocirculatory assessment. Interventions: None. Measurements and Main Results: One echocardiographic car…
Pulse rate variability measurement with camera-based photoplethysmography
2021
Electrocardiogram (ECG) has been used by doctors and biomedical researchers to measure cardiac parameters such as Heart Rate (HR) and Heart Rate Variability (HRV). HR is a medical index for health monitoring and the HRV is a sign to reflect the activities of Autonomic Nervous System (ANS) and can be used for emotion recognition applications. Recently, remote photoplethysmography (rPPG) has evolved as a non-contact technique for measuring vital cardiac signs. Compared with ECG, this technique is non-invasive, low-cost, comfortable and possibly utilized in long-term monitoring. It has great potential in remote health assessment and emotion detection. However, the rPPG is a video-based method,…