Results 71 to 80 of about 9,378 (263)
Ordered Binary Decision Diagrams as Knowledge-Bases
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Takashi Horiyama, Toshihide Ibaraki
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Arterial Spin‐Labeling MRI at the Cortical‐CSF Interface: A Novel Biomarker in Alzheimer Disease
ABSTRACT Background/Objective Arterial spin‐labeling (ASL) MRI can measure perfusion signal adjacent to CSF spaces and may provide information regarding CSF‐adjacent water transport physiology. We developed an automated pipeline to extract cortical‐CSF interface (IF) perfusion for comparison between Alzheimer disease (AD) and cognitively normal ...
Mona Asghariahmadabad +22 more
wiley +1 more source
ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno +19 more
wiley +1 more source
On the error resilience of ordered binary decision diagrams
Ordered Binary Decision Diagrams (OBDDs) are a data structure that is used in an increasing number of fields of Computer Science (e.g., logic synthesis, program verification, data mining, bioinformatics, and data protection) for representing and manipulating discrete structures and Boolean functions.
Anna Bernasconi 0001 +2 more
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White Matter and Perivascular Imaging Changes in Alzheimer's Disease and Cerebral Amyloid Angiopathy
ABSTRACT Objective Peak‐width of skeletonized mean diffusivity (PSMD) and diffusion tensor imaging–analysis along the perivascular space (DTI‐ALPS), reflecting white matter integrity and glymphatic function, are altered in Alzheimer's disease (AD).
Debina Laishram +3 more
wiley +1 more source
Truth tables to binary decision diagrams [PDF]
Model transformation tools have reached a considerable level of maturity in the core features, and are currently developing in many directions. Some tools are focusing on providing higher performance for large models or complex transformations. Others focus on bidirectionality, visualisation, traceability, or verifiability, among other research ...
Antonio García-Domínguez, Georg Hinkel
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ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato +7 more
wiley +1 more source
Binary-Decision-Diagrams for Set Abstraction
Whether explicit or implicit, sets are a critical part of many pieces of software. As a result, it is necessary to develop abstractions of sets for the purposes of abstract interpretation, model checking, and deductive verification. However, the construction of effective abstractions for sets is challenging because they are a higher-order construct. It
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Learning ordered binary decision diagrams
We study the learnability of ordered binary decision diagrams (obdds). We give a polynomial-time algorithm using membership and equivalence queries that finds the minimum obdd for the target respecting a given ordering. We also prove that both types of queries and the restriction to a given ordering are necessary if we want minimality in the output ...
Gavaldà Mestre, Ricard +1 more
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Endothelial Cell Proteins as Biomarkers in Susac Syndrome
ABSTRACT Objective Susac syndrome (SS) is a rare CD8+ T cell–mediated microangiopathy affecting the brain, retina, and auditory labyrinth. Endothelial injury is thought to be a central mechanism; however, no circulating disease biomarkers are known. We performed targeted proteomic profiling to identify circulating endothelial‐associated proteins as ...
Rohit Benjamin +11 more
wiley +1 more source

