Results 91 to 100 of about 3,938,305 (341)
arf3DS4: An Integrated Framework for Localization and Connectivity Analysis of fMRI Data
In standard fMRI analysis all voxels are tested in a massive univariate approach, that is, each voxel is tested independently. This requires stringent corrections for multiple comparisons to control the number of false positive tests (i.e., marking ...
Hilde M. Huizenga +4 more
doaj
Monte Carlo and spatial sampling effects in regional uncertainty propagation analyses [PDF]
Spatial uncertainty propagation analysis (UPA) aims at analysing how uncertainties in model inputs propagate through spatial models. Monte Carlo methods are often used, which estimate the output uncertainty by repeatedly running the model with inputs ...
Brus, D.J., Heuvelink, G.B.M.
core
Temporal and spatial evolution of ecological sustainability in Dongting Lake area based on the improved three-dimensional ecological footprint model [PDF]
艾赣雄 熊鹰
openalex +1 more source
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
A Network for Learning Kinematics with Application to Human Reaching Models [PDF]
A model for self-organization of the coordinate transformations required for spatial reaching is presented. During a motor babbling phase, a mapping from spatial coordinate directions to joint motion directions is learned.
Fiala, John C.
core +1 more source
We show that the majority of the 18 analyzed recurrent cancer‐associated ERBB4 mutations are transforming. The most potent mutations are activating, co‐operate with other ERBB receptors, and are sensitive to pan‐ERBB inhibitors. Activating ERBB4 mutations also promote therapy resistance in EGFR‐mutant lung cancer.
Veera K. Ojala +15 more
wiley +1 more source
MODEL KERUANGAN UNTUK IDENTIFIKASI KAWASAN RAWAN LONGSOR
This study aims to develop a spatial model based on Geographic Information System (GIS) that can be used to identify landslide prone areas. The model uses map overlay and tabular weighted methods involving seven variables, i.e.
Imam Buchori, Joko Susilo
doaj +1 more source
On Spatial Consensus Formation: Is the Sznajd Model Different from a Voter Model?
In this paper, we investigate the so-called ``Sznajd Model'' (SM) in one dimension, which is a simple cellular automata approach to consensus formation among two opposite opinions (described by spin up or down).
Albin P. S. +9 more
core +1 more source
Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung +17 more
wiley +1 more source
A Model of Colonic Crypts using SBML Spatial
The Spatial Processes package enables an explicit definition of a spatial environment on top of the normal dynamic modeling SBML capabilities. The possibility of an explicit representation of spatial dynamics increases the representation power of SBML ...
Antoniotti, Marco +2 more
core +2 more sources

