Results 61 to 70 of about 1,793,034 (245)
CELL: a Python package for cluster expansion with a focus on complex alloys
npj Computational MaterialsWe present the Python package CELL, which provides a modular approach to the cluster expansion (CE) method. CELL can treat a wide variety of substitutional systems, including one-, two-, and three-dimensional alloys, in a general multi-component and ...
Santiago Rigamonti +4 more
doaj +1 more source
Towards a Compositional Framework for Describing Human Phenotypes
Advanced Science, EarlyView.The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu +11 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source
AN EDITOR FOR 3D MEDICAL VOLUME IMAGES
TASK Quarterly, 1997 An editor for 3D medical images is presented. It allows to visualise anatomical atlases as well as modality images. Objects are delineated slice by slice as a stack of contours edited on the basis of Catmull-Rom splines.
RUDI DEKLERCK +2 more
doaj
Unusual cause of abdominal pain: the disconnected tube after laparoscopic adjustable gastric banding
The Pan African Medical Journal, 2017 Laparoscopic adjustable gastric banding (LAGB) is a well recognised and valid option in the treatment of morbid obesity. The objective of this procedure is to restrict the overall food intake.
Ahmed Bensaad, Christophe Fircket
doaj +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Advanced Intelligent Discovery, EarlyView.Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Lista de invitados de las Jornadas Arco Iris
, 1992 Lista de invitados de las Jornadas Arco ...
Grupo Arco Iris, Partido Andalucista
core +1 more source
, 2017 <p><a href="http://scitools.org.uk/iris/docs/v1.13.0/index.html">http://scitools.org.uk/iris/docs/v1.13.0/index.html</a> <a href="http://scitools.org.uk/iris/docs/v1.13.0/whatsnew/1.13.html">http://scitools.org.uk/iris/docs/v1.13 ...
lbdreyer
core +1 more source
Advanced Intelligent Discovery, EarlyView.Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source