scholarly journals The theoretical and computational basis of focused sonic booms

1995 ◽  
Vol 97 (5) ◽  
pp. 3257-3258 ◽  
Author(s):  
Kenneth J. Plotkin
Keyword(s):  
Sonic Booms ◽  
Computational Basis

A Comparative Study of Indoor Human Response to Blast Noise and Sonic Booms

1998 ◽  
Author(s):  
Paul D. Schomer ◽  
John W. Sias ◽  
Domenic Maglieri
Keyword(s):  
Comparative Study ◽  
Human Response ◽  
Sonic Booms

On Sonic Booms: People vs Planes

Physics Today ◽  
1968 ◽  
Vol 21 (6) ◽  
pp. 9-9
Author(s):  
Cyril Stanley Smith
Keyword(s):  
Sonic Booms

QUANTUM COMPUTATIONAL SCHEMES GENERATED BY k-BOSON ALGEBRAS

2007 ◽  
Vol 05 (01n02) ◽  
pp. 229-234
Author(s):  
FRANCESCO A. RAFFA ◽  
MARIO RASETTI
Keyword(s):  
Cnot Gate ◽  
Logical Operators ◽  
Computational Schemes ◽  
Computational Basis

It is shown that a multiboson (k-boson) algebra can be conveniently utilized to generate a k-dimensional computational basis. The single qukit logical operators are given ∀k and two different constructions of the CNOT gate are presented.

Sonic Booms Shake Up Officials

Science ◽  
1968 ◽  
Vol 161 (3839) ◽  
pp. 343-343
Author(s):  
Marti Mueller
Keyword(s):  
Sonic Booms

Computational basis of decision-making impairment in multiple sclerosis

2021 ◽  
pp. 135245852110593
Author(s):  
Rodrigo S Fernández ◽  
Lucia Crivelli ◽  
María E Pedreira ◽  
Ricardo F Allegri ◽  
Jorge Correale
Keyword(s):  
Multiple Sclerosis ◽  
Decision Making ◽  
Computational Models ◽  
Iowa Gambling Task ◽  
Memory Impairments ◽  
Hierarchical Bayesian Analysis ◽  
Control Subjects ◽  
Neurocognitive Impairments ◽  
Neurocognitive Evaluation ◽  
Computational Basis

Background: Multiple sclerosis (MS) is commonly associated with decision-making, neurocognitive impairments, and mood and motivational symptoms. However, their relationship may be obscured by traditional scoring methods. Objectives: To study the computational basis underlying decision-making impairments in MS and their interaction with neurocognitive and neuropsychiatric measures. Methods: Twenty-nine MS patients and 26 matched control subjects completed a computer version of the Iowa Gambling Task (IGT). Participants underwent neurocognitive evaluation using an expanded version of the Brief Repeatable Battery. Hierarchical Bayesian Analysis was used to estimate three established computational models to compare parameters between groups. Results: Patients showed increased learning rate and reduced loss-aversion during decision-making relative to control subjects. These alterations were associated with: (1) reduced net gains in the IGT; (2) processing speed, executive functioning and memory impairments; and (3) higher levels of depression and current apathy. Conclusion: Decision-making deficits in MS patients could be described by the interplay between latent computational processes, neurocognitive impairments, and mood/motivational symptoms.

Sonic Booms

Science ◽  
1967 ◽  
Vol 158 (3799) ◽  
pp. 315-315
Author(s):  
Robert F. Marschner
Keyword(s):  
Sonic Booms
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