Results 91 to 100 of about 163,062 (337)

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito   +14 more
wiley   +1 more source

Cohabitation: Computation at 70, Cognition at 20 [PDF]

open access: yes, 2006
Zenon Pylyshyn cast cognition's lot with computation, stretching the Church/Turing Thesis to its limit: We had no idea how the mind did anything, whereas we knew computation could do just about everything. Doing it with images would be like doing it with
Harnad, Stevan
core  

Fairchild Symbol Computer [PDF]

open access: yesIEEE Annals of the History of Computing, 2008
Under the leadership of Gordon Moore, Fairchild Semiconductor embarked on the design of a high-level time-sharing computer, Symbol IIR. In the mid-1960s, the falling costs of semiconductors made hardware seem like the logical design choice to replace common software functions. Symbol embodied that design, but to what effect?
openaire   +1 more source

Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett   +8 more
wiley   +1 more source

Overfitting Reduction of Text Classification Based on AdaBELM

open access: yesEntropy, 2017
Overfitting is an important problem in machine learning. Several algorithms, such as the extreme learning machine (ELM), suffer from this issue when facing high-dimensional sparse data, e.g., in text classification. One common issue is that the extent of
Xiaoyue Feng   +5 more
doaj   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

open access: yesAdvanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez   +5 more
wiley   +1 more source

A Parallel Extension Rule-Based Algorithm for #SAT Problem Using Model-Counting Tree

open access: yesIEEE Access, 2018
The #SAT problem, which is also called model counting, is one of the most important problems in artificial intelligence and is challenging to the researchers.
Naiyu Tian   +4 more
doaj   +1 more source

Solution of polynomial Lyapunov and Sylvester equations

open access: yes, 2006
A two-variable polynomial approach to solve the one-variable polynomial Lyapunov and Sylvester equations is proposed. Lifting the problem from the one-variable to the two-variable context gives rise to associated lifted equations which live on finite ...
Peeters, Ralf, Rapisarda, Paolo
core  

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

open access: yesAdvanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat   +6 more
wiley   +1 more source

Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction

open access: yesIEEE Access, 2019
Knowledge extracted from the protein-protein interaction (PPI) network can help researchers reveal the molecular mechanisms of biological processes. With the rapid growth in the volume of the biomedical literature, manually detecting and annotating PPIs ...
Hao Zhang   +6 more
doaj   +1 more source

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