Results 351 to 360 of about 5,123,051 (393)
Advanced Healthcare Materials, Volume 14, Issue 9, April 4, 2025.Microneedle‐assisted RA therapy with MC complexes in CCMNP effectively treats cartilage degradation and synovitis without visceral damage. The dual capability in therapeutic intervention and in situ monitoring inflammation through local pH and ROS levels facilitates the dynamic adjustment of treatment protocols and represents a paradigm shift in the RA
Lili Jin +6 more
wiley +1 more source
Oxidized Carbon Nanoparticles Enhance Cellular Energetics With Application to Injured Brain
Advanced Healthcare Materials, Volume 14, Issue 8, March 25, 2025.Oxidized carbon nanozymes (OCNs) that catalyze the dismutation of superoxide radical and oxidation of reduced nicotinamide adenine dinucleotide (NADH) to NAD+ promote glycolytic and mitochondrial energy metabolism under impaired conditions observed in traumatic brain injury with hemorrhage.
Karthik Mouli +11 more
wiley +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding
International Conference on Information and Knowledge Management, 2019Heterogeneous information network (HIN) embedding has gained increasing interests recently. However, the current way of random-walk based HIN embedding methods have paid few attention to the higher-order Markov chain nature of meta-path guided random ...
Yu He +5 more
semanticscholar +1 more source
Physica A: Statistical Mechanics and its Applications, 1982
The authors investigate the random walk of a particle on a one-dimensional chain which has been constructed by a random-walk procedure. Exact expressions are given for the mean-square displacement and the fourth moment after n steps. The probability density after n steps is derived in the saddle-point approximation, for large n.
Ryszard Kutner, Klaus W. Kehr
openaire +2 more sources
The authors investigate the random walk of a particle on a one-dimensional chain which has been constructed by a random-walk procedure. Exact expressions are given for the mean-square displacement and the fourth moment after n steps. The probability density after n steps is derived in the saddle-point approximation, for large n.
Ryszard Kutner, Klaus W. Kehr
openaire +2 more sources
KnightKing: a fast distributed graph random walk engine
Symposium on Operating Systems Principles, 2019Random walk on graphs has recently gained immense popularity as a tool for graph data analytics and machine learning. Currently, random walk algorithms are developed as individual implementations and suffer significant performance and scalability ...
Ke Yang +5 more
semanticscholar +1 more source
Physica A: Statistical Mechanics and its Applications, 1998
Abstract Random walks have been created using the pseudo-random generators in different computer language compilers (BASIC, PASCAL, FORTRAN, C++) using a Pentium processor. All the obtained paths have apparently a random behavior for short walks (∼214 steps). From long random walks (233 steps) different periods have been found, the shortest being 218
Josep Nogués +2 more
openaire +2 more sources
Abstract Random walks have been created using the pseudo-random generators in different computer language compilers (BASIC, PASCAL, FORTRAN, C++) using a Pentium processor. All the obtained paths have apparently a random behavior for short walks (∼214 steps). From long random walks (233 steps) different periods have been found, the shortest being 218
Josep Nogués +2 more
openaire +2 more sources
Biased random walk on a biased random walk
Physica A: Statistical Mechanics and its Applications, 1991Abstract We consider the random walk of a particle along topologically linear channels under the influence of a uniform drift force. The channels are generated by the usual biased random walk procedure. The resulting mean- and mean-square displacements of a particle are discussed.
Ryszard Kutner, Ryszard Kutner
openaire +2 more sources
Differencing of random walks and near random walks
Journal of Econometrics, 1977Abstract The traditional rationale for differencing time series data is to attain stationarity. For a nearly non-stationary first-order autoregressive process—AR (1) with positive slope parameter near unity—we were led to a complementary rationale. If one suspects near non-stationarity of the AR (1) process, if the sample size is ‘small’ or ‘moderate’
Harry V. Roberts, Nicholas J. Gonedes
openaire +2 more sources