5,130 research outputs found
RDLS-SS-DWT v. 0.9
This fileset contains the implementation of RDLS-DWT and SS-DWT in JPEG 2000 (RDLS-SS-DWT v. 0.9), which was used in a research described in: R. Starosolski, “Application of reversible denoising and lifting steps to DWT in lossless JPEG 2000 for improved bitrates,” Signal Processing: Image Communication, Vol. 39, Part A, pp. 249-63, DOI: 10.1016/j.image.2015.09.013, 2015 and R. Starosolski, “Skipping selected steps of DWT computation in lossless JPEG 2000 for improved bitrates,” submitted. This software is intended for research purposes only; it is provided "as is"; author makes no warranty of any kind, either express or implied, with respect to this software. <br
SS Northland Echo
Photograph - A view of the steamboat, SS Northland Echo on the Athabasca River. Athabasca, Albert
SS Athabasca River - 02
Photograph - A view of the SS Athabasca River paddle steamer on the river, Athabasca, Albert
RIC-HSCT for MF/SS
Advanced-stage mycosis fungoides and Sezary syndrome (MF/SS) have a poor prognosis. Allogeneic hematopoietic stem cell transplantation (HSCT), particularly using a reduced-intensity conditioning (RIC) regimen, is a promising treatment for advanced-stage MF/SS. We performed RIC-HSCT in nine patients with advanced MF/SS. With a median follow-up period of 954days after HSCT, the estimated 3-year overall survival was 85.7% (95% confidence interval, 33.4-97.9%) with no non-relapse mortality. Five patients relapsed after RIC-HSCT; however, in four patients whose relapse was detected only from the skin, persistent complete response was achieved in one patient, and the disease was manageable in other three patients by the tapering of immunosuppressants and donor lymphocyte infusion, suggesting that graft-versus-lymphoma effect and "down-staging" effect from advanced stage to early stage by HSCT improve the prognosis of advanced-stage MF/SS. These results suggest that RIC-HSCT is an effective treatment for advanced MF/SS
SS Northland Sun at Mirror Landing, AB
Photograph - The paddle-wheeler, SS Northland Sun, docked at shore in Mirror Landing, Albert
SS Northland Light at Sawridge, AB
Photograph - Paddle-wheeler, SS Northland Light, docked at the shore. Sawridge, A
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Functional Modularity Methods and Applications for Human Diseases
Community detection in complex networks (graphs) has been the subject of investigation in numerous domains. In biological networks, communities are functionally contextual and often provide insights into mechanisms. Detecting communities and analyzing their biological functions is an important aspect of studying biological networks. Communities (aka modules) can yield useful insights into the structure of networks and serve as a basis for analyzing them at topological and functional levels. The work presented in this dissertation is aimed at community detection in human disease (specifically colorectal cancer) networks using different approaches, with the focus on analyzing their biological functions.The study begins with the exploration of existing community detection algorithms and evaluation of their findings on two important Protein-Protein Interaction (PPI) networks, namely, Saccharomyces cerevisiae (Yeast) and Homo sapiens (Human) at both topological and functional levels. The main criteria to assess the performance of each method are 1) appropriate community size (neither too small nor too large), 2) representation of only one or two broad biological functions within a community, 3) most genes from the network belonging to a pathway should also belong to only one or two communities, and 4) performance speed. These criteria enable us to select one of the best methods for detecting communities in biological networks.
Next, a gene expression microarray dataset of colorectal cancer (CRC) is analyzed to detect stage-specific biomarkers as well as modular mechanisms, potentially causal for the progression of CRC from normal to stages I to IV. Constructing unweighted and weighted correlation networks for each stage, communities are identified and compared topologically and functionally across stages. Short Time-series Expression Miner (STEM) algorithm is also used to detect potential biomarkers having a role in CRC. Constructing a drug-target-PPI network provides insight, in the light of analyzed data, into understanding the functional mechanisms for some of the current drugs used in CRC treatment.
Lastly, gene modules across stages of CRC are analyzed from a single cell transcriptomic dataset to decipher mechanistic changes likely contributing to tumor growth and cancer progression. Cell down-sampling process is firstly performed at stages pT2 to pT4 (as well as right colon) to make cell count equal across different stages and tissue sites. Functional modules at early stage (pT1) and also right colon are identified utilizing Weighted Gene Co- expression Network Analysis (WGCNA). In particular, WGCNA’s preservation statistics are used to detect gene modules that exhibit weak/strong preservation of network topology in late stages (pT234) vs. early stage (pT1) as well as left colon vs. right colon. Functional enrichment analysis of the non-preserved modules reveals mechanisms related to the initiation, progression and metastasis of CRC
Multicarrier DS-SS for GPS Pseudolites: Code-Acquisition Performance in the Presence of Data Modulation
In this paper we analyze the code acquisition performance of a multicarrier direct-sequence spread spectrum (DS-SS) system in the presence of data modulation (i.e., no pilot) on multipath Rayleigh fading channels. The motivation of this analysis arises from the possibility of beneficially using multicarrier DS-SS in Global Positioning System (GPS) pseudolites, where an unmodulated pilot is not available. Pseudolites are small, ground-based transmitters that emulate the signal structure of the GPS satellite transmitters, with the intention of augmenting the system performance. We consider equal gain combining (EGC) and selection combining (SC) of subcarrier correlator outputs for each timing hypothesis. We evaluate the probability of incorrect decision and mean acquisition time performance of the multicarrier DS-SS code acquisition scheme. We show that significant reduction in the mean acquisition time (MAT) can be achieved using the multicarrier DS-SS approach for GPS pseudolites
That's 'é' not 'þ' '?' or '☐': a user-driven context-aware approach to erroneous metadata in digital libraries
In this paper we present a novel system for user-driven integration of name variants when interacting with web-based information systems. The growth and diversity of online information means that many users experience disambiguation and collocation errors in their information searching. We approach these issues via a client-side JavaScript browser extension that can reorganise web content and also integrate remote data sources. The system is illustrated through three worked examples using existing digital libraries
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