Results 91 to 100 of about 133,936 (292)
MEG Beamformer-Based Reconstructions of Functional Networks in Mild Cognitive Impairment
Subjects with mild cognitive impairment (MCI) have an increased risk of developing Alzheimer’s disease (AD), and their functional brain networks are presumably already altered. To test this hypothesis, we compared magnetoencephalography (MEG) eyes-closed
Maria E. López +13 more
doaj +1 more source
Scale-Free Networks Emerging from Weighted Random Graphs
We study Erd\"{o}s-R\'enyi random graphs with random weights associated with each link. We generate a new ``Supernode network'' by merging all nodes connected by links having weights below the percolation threshold (percolation clusters) into a single ...
A. S. Ioselevich +12 more
core +1 more source
A two‐phase workflow (OFAT screening followed by central composite design) maps how processing variables tune PFCE‐PLGA nanoparticle size, dispersity, surface charge, loading, and 19F‐MRI signal. In situ, time‐resolved synchrotron SAXS tracks albumin‐corona growth on intact dispersions and reveals PFCE‐dependent adsorption pathways.
Joice Maria Joseph +11 more
wiley +1 more source
In this paper, we present a new bicriteria approximation algorithm for the degreebounded minimum spanning tree problem. In this problem, we are given an undirected graph, a nonnegative cost function on the edges, and a positive integer B∗, and the goal is to find a minimumcost spanning tree T with maximum degree at most B∗.
Könemann, J., Ravi, R.
openaire +3 more sources
Bioengineered 3D hPSC‐Cholangiocyte Ducts With Physiological Signals for Biliary Disease Modeling
Tian and colleagues generated a bioengineered bile duct from human pluripotent stem cell (hPSC)‐derived intrahepatic cholangiocytes within a high‐throughput, 384‐well platform to systematically examine the influence of biliary physiological signals including fluid flow, stromal cells and bile acids, and models intrahepatic biliary disease progression ...
Britney Tian +10 more
wiley +1 more source
Development of stock correlation networks using mutual information and financial big data.
Stock correlation networks use stock price data to explore the relationship between different stocks listed in the stock market. Currently this relationship is dominantly measured by the Pearson correlation coefficient.
Xue Guo, Hu Zhang, Tianhai Tian
doaj +1 more source
We compare the existent methods including the minimum spanning tree based method and the local stellar density based method, in measuring mass segregation of star clusters.
Lin, Congping +3 more
core +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Task distribution algorithm based on community in mobile crowd sensing
A community-based task distribution algorithm was proposed to solve the problem of the validity of mobile crowd sensing (MCS) task distribution.By calculating the minimum spanning tree (MST),the connection parameter (CP) and the community convergence ...
Hao LONG +3 more
doaj +2 more sources
Optimal Network Analysis through Vertex Order Coloring of Intuitionistic Fuzzy Graph Operations
Intuitionistic fuzzy graphs IFGs are a powerful tool for modeling uncertainty and complex relationships. They offer versatile frameworks for addressing real-world challenges. In this research, we have introduced intuitionistic fuzzy vertex order coloring
A. Meenakshi +3 more
doaj +1 more source

