Results 51 to 60 of about 704,956 (316)
ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar +7 more
wiley +1 more source
Weighted Graph-Based Two-Sample Test via Empirical Likelihood
In network data analysis, one of the important problems is determining if two collections of networks are drawn from the same distribution. This problem can be modeled in the framework of two-sample hypothesis testing.
Xiaofeng Zhao, Mingao Yuan
doaj +1 more source
Testing properties of signed graphs
In graph property testing the task is to distinguish whether a graph satisfies a given property or is "far" from having that property, preferably with a sublinear query and time complexity. In this work we initiate the study of property testing in signed graphs, where every edge has either a positive or a negative sign.
Florian Adriaens, Simon Apers
openaire +2 more sources
Comparison graph of test architectures. [PDF]
Comparison graph of test architectures.
Keewon Cho (7305599) +4 more
core +1 more source
ABSTRACT Neurodevelopmental and neurocognitive difficulties are prevalent among individuals with sickle cell disease and warrant prompt identification and support. This Special Report provides an executive summary of standards and recommendations for surveillance, screening, and evaluation for development and cognition across the lifespan developed by ...
Alyssa M. Schlenz +12 more
wiley +1 more source
GTST: A Python Package for Graph Two-Sample Testing
The GTST package is a python package for performing graph sample testing. The test infers whether two samples of graphs were generated from the same probability distribution or not.
Ragnar L. Gudmundarson, Gareth W. Peters
doaj +1 more source
Class Integration Test Order Generation Approach Fused with Deep Reinforcement Learning andGraph Convolutional Neural Network [PDF]
Class integration testing ensures normal interaction and collaboration between multiple classes in the software system and a reasonable class integration test order can reduce testing costs.Therefore,in order to reduce the testing cost of class ...
WANG Chenyuan, ZHANG Yanmei, YUAN Guan
doaj +1 more source
Background: Functional Near-Infrared Spectroscopy is an optical brain monitoring technique which uses NIRS to perform functional neuroimaging. It uses near-infrared light for measuring brain activity and to estimate the cortical hemodynamic activity in ...
V. Akila, Anita Christaline Johnvictor
doaj +1 more source
Self-Testing Graph States [PDF]
We give a construction for a self-test for any connected graph state. In other words, for each connected graph state we give a set of non-local correlations that can only be achieved (quantumly) by that particular graph state and certain local measurements.
openaire +3 more sources
Thermal-Safe Test Scheduling for Core-Based System-on-a-Chip Integrated Circuits [PDF]
Overheating has been acknowledged as a major problem during the testing of complex system-on-chip (SOC) integrated circuits. Several power-constrained test scheduling solutions have been recently proposed to tackle this problem during system integration.
Rosinger, Paul +2 more
core

