Fast linear iterations for distributed averaging
We consider the problem of finding a linear iteration that yields distributed averaging consensus
over a network, ie, that asymptotically computes the average of some initial values given …
over a network, ie, that asymptotically computes the average of some initial values given …
Thorium-doping–induced superconductivity up to 56 K in Gd1− xThxFeAsO
We report a new strategy to induce superconductivity in iron-based oxyarsenide. Instead of F-substitution
for O 2-, we employed Th 4+ doping in GdFeAsO with the consideration of" …
for O 2-, we employed Th 4+ doping in GdFeAsO with the consideration of" …
A prospective randomized trial comparing percutaneous local ablative therapy and partial hepatectomy for small hepatocellular carcinoma
…, JQ Li, Y Zheng, RP Guo, HH Liang, YQ Zhang, XJ Lin… - 2006 - journals.lww.com
Objective: To compare the results of percutaneous local ablative therapy (PLAT) with surgical
resection in the treatment of solitary and small hepatocellular carcinoma (HCC). Summary …
resection in the treatment of solitary and small hepatocellular carcinoma (HCC). Summary …
A scheme for robust distributed sensor fusion based on average consensus
We consider a network of distributed sensors, where where each sensor takes a linear
measurement of some unknown parameters, corrupted by independent Gaussian noises. We …
measurement of some unknown parameters, corrupted by independent Gaussian noises. We …
[PDF][PDF] Substrate and functional diversity of lysine acetylation revealed by a proteomics survey
…, Y Xu, H Ball, J Pei, T Cheng, Y Kho, H Xiao, L Xiao… - Molecular cell, 2006 - cell.com
Acetylation of proteins on lysine residues is a dynamic posttranslational modification that is
known to play a key role in regulating transcription and other DNA-dependent nuclear …
known to play a key role in regulating transcription and other DNA-dependent nuclear …
Low-rank tensor graph learning for multi-view subspace clustering
Graph and subspace clustering methods have become the mainstream of multi-view clustering
due to their promising performance. However, (1) since graph clustering methods learn …
due to their promising performance. However, (1) since graph clustering methods learn …
Multi-view subspace clustering via simultaneously learning the representation tensor and affinity matrix
Multi-view subspace clustering aims at separating data points into multiple underlying
subspaces according to their multi-view features. Existing low-rank tensor representation-based …
subspaces according to their multi-view features. Existing low-rank tensor representation-based …
Low-rank quaternion approximation for color image processing
… To preserve the spatial structures of images, Xiao and Zhou [30] proposed a two-dimensional
quaternion sparse principal component analysis method for color image recognition. …
quaternion sparse principal component analysis method for color image recognition. …
[PDF][PDF] Enhanced anti-lymphoma activity of CAR19-iNKT cells underpinned by dual CD19 and CD1d targeting
…, N Baxan, O Dubois, MS Chaudhry, X Xiao… - Cancer Cell, 2018 - cell.com
Chimeric antigen receptor anti-CD19 (CAR19)-T cell immunotherapy-induced clinical
remissions in CD19 + B cell lymphomas are often short lived. We tested whether CAR19-…
remissions in CD19 + B cell lymphomas are often short lived. We tested whether CAR19-…
Distributed average consensus with least-mean-square deviation
We consider a stochastic model for distributed average consensus, which arises in
applications such as load balancing for parallel processors, distributed coordination of mobile …
applications such as load balancing for parallel processors, distributed coordination of mobile …