Results 71 to 80 of about 320,035 (309)
Network coding construction for a special class of three unicast sessions
For a special class of three unicast sessions, in which the maximum flow from each sender to each receiver is the same positive integer k, a network coding approach is proposed.
Baoxing PU
doaj +1 more source
Isometry and Automorphisms of Constant Dimension Codes [PDF]
We define linear and semilinear isometry for general subspace codes, used for random network coding. Furthermore, some results on isometry classes and automorphism groups of known constant dimension code constructions are ...
Trautmann, Anna-Lena
core
Universal and Robust Distributed Network Codes
Random linear network codes can be designed and implemented in a distributed manner, with low computational complexity. However, these codes are classically implemented over finite fields whose size depends on some global network parameters (size of the ...
Ho, Tracey +3 more
core +1 more source
Unraveling LINE‐1 retrotransposition in head and neck squamous cell carcinoma
The novel RetroTest method allows the detection of L1 activation in clinical samples with low DNA input, providing global L1 activity and the identification of the L1 source element. We applied RetroTest to a real‐world cohort of HNSCC patients where we reported an early L1 activation, with more than 60% of T1 patients showing L1 activity.
Jenifer Brea‐Iglesias +12 more
wiley +1 more source
The failure probability at sink node of random linear network coding [PDF]
4 pages, 1 figure, to appear in Proceedings of ICITIS ...
Fang-Wei Fu, Xuan Guang
openaire +2 more sources
EMT‐associated bias in the Parsortix® system observed with pancreatic cancer cell lines
The Parsortix® system was tested for CTC enrichment using pancreatic cancer cell lines with different EMT phenotypes. Spike‐in experiments showed lower recovery of mesenchymal‐like cells. This was confirmed with an EMT‐inducible breast cancer cell line.
Nele Vandenbussche +8 more
wiley +1 more source
On Design and Efficient Decoding of Sparse Random Linear Network Codes
While random linear network coding is known to improve network reliability and throughput, its high costs for delivering coding coefficients and decoding represent an obstacle where nodes have limited power to transmit and decode packets.
Ye Li, Wai-Yip Chan, Steven D. Blostein
doaj +1 more source
Enhanced algebraic error control for random linear network coding [PDF]
Error control is significant to network coding, since when unchecked, errors greatly deteriorate the throughput gains of network coding and seriously undermine both reliability and security of data. Two families of codes, subspace and rank metric codes, have been used to provide error control for random linear network coding.
Zhiyuan Yan, Hongmei Xie
openaire +2 more sources
Human cytomegalovirus infection is common in normal prostate epithelium, prostate tumor tissue, and prostate cancer cell lines. CMV promotes cell survival, proliferation, and androgen receptor signaling. Anti‐CMV pharmaceutical compounds in clinical use inhibited cell expansion in prostate cancer models in vitro and in vivo, motivating investigation ...
Johanna Classon +13 more
wiley +1 more source
Decrypting cancer's spatial code: from single cells to tissue niches
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source

