Results 71 to 80 of about 11,440 (300)

MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru   +13 more
wiley   +1 more source

Factored Edge-Valued Binary Decision Diagrams

open access: yes, 1997
Factored Edge-Valued Binary Decision Diagrams form an extension to Edge-Valued Binary Decision Diagrams. By associating both an additive and a multiplicative weight with the edges, FEVBDDs can be used to represent a wider range of functions concisely. As
Paul Tafertshofer, Massoud Pedram
core   +1 more source

EMPLOYING COMPLEXITY ESTIMATES OF BINARY DECISION DIAGRAMS IN THE SYNTHESIS OF LOGICAL CIRCUITS

open access: yesInformatika, 2016
A formula is suggested to evaluate the area of a logical circuit that is built in a given library of logical elements according to the BDD (Binary Decision Diagram) representation of a system of Boolean functions. The experimental results of synthesis of
N. A. Avdeev, P. N. Bibilo
doaj  

SENSE: Abstraction-Based Synthesis of Networked Control Systems [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2018
While many studies and tools target the basic stabilizability problem of networked control systems (NCS), nowadays modern systems require more sophisticated objectives such as those expressed as formulae in linear temporal logic or as automata on ...
Mahmoud Khaled   +2 more
doaj   +1 more source

Neurochemical Endpoints to Inform Early‐Stage Trials of Spinocerebellar Ataxia 2 and 3 in a Multisite Setting

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers   +19 more
wiley   +1 more source

Functional test generation using binary decision diagrams

open access: yes, 1987
This paper proposes an extension to the D-algorithm, for integrated circuits described using binary decision diagrams. An LSI/VLSI circuit is modeled as a network of interconnected modules such as counters, registers, ROMs, RAMs, decoders, and ...
Abadir, M.S., Reghbati, H.K.
core   +1 more source

Quantum and classical nondeterministic OBDDs

open access: yesУчёные записки Казанского университета: Серия Физико-математические науки
A model of nondeterministic ordered binary decision diagrams (NOBDDs) was analyzed. A method for proving a lower bound on the complexity of quantum NOBDDs was developed.
A. F. Gainutdinova
doaj   +1 more source

A rewriting approach to binary decision diagrams

open access: yesThe Journal of Logic and Algebraic Programming, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
H. Zantema (Hans)   +1 more
openaire   +4 more sources

Integration of Serum Neurofilament Light Chain and Cortical Dysfunction Improves Diagnostic Accuracy in ALS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether integration of serum neurofilament light chain (NfL) and cortical dysfunction improves diagnostic accuracy in amyotrophic lateral sclerosis (ALS) when applied alongside the Gold Coast criteria (GCC). Methods In this prospective study, 148 participants with suspected ALS were recruited (101 ALS and 47 with ALS ...
Aicee Dawn Calma   +16 more
wiley   +1 more source

Decision diagrams in machine learning: an empirical study on real-life credit-risk data. [PDF]

open access: yes
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result of which the produced classifiers might become too large to be ...
Files, CM   +3 more
core  

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