Faculty Opinions recommendation of Proposal of the reverse flow model for the origin of the eukaryotic cell based on comparative analyses of Asgard archaeal metabolism.

Conventional pattern-recognition algorithms for surface electromyography (sEMG)-based hand-gesture classification have difficulties in capturing the complexity and variability of sEMG. The deep structures of deep learning enable the method to learn high-level features of data to improve both accuracy and robustness of a classification. However, the features learned through deep learning are incomprehensible, and this issue has precluded the use of deep learning in clinical applications where model comprehension is required. In this paper, a generative flow model (GFM), which is a recent flourishing branch of deep learning, is used with a SoftMax classifier for hand-gesture classification. The proposed approach achieves 63 . 86 ± 5 . 12 % accuracy in classifying 53 different hand gestures from the NinaPro database 5. The distribution of all 53 hand gestures is modelled by the GFM, and each dimension of the feature learned by the GFM is comprehensible using the reverse flow of the GFM. Moreover, the feature appears to be related to muscle synergy to some extent.

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Inlet Reverse Flow Model and Prediction of Theoretical Head and Water Power of Mixed-Flow Pumps.

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B ◽

10.1299/kikaib.59.143 ◽

1993 ◽

Vol 59 (557) ◽

pp. 143-149 ◽

Cited By ~ 3

Author(s):

Junichi Kurokawa ◽

Jie Jiang ◽

Takaya Kitahora

Keyword(s):

Flow Model ◽

Reverse Flow ◽

Mixed Flow ◽

Water Power

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Siphon Flows in Stratified Coronal Loops

International Astronomical Union Colloquium ◽

10.1017/s0252921100025288 ◽

1994 ◽

Vol 144 ◽

pp. 185-187

Author(s):

S. Orlando ◽

G. Peres ◽

S. Serio

Keyword(s):

Heat Flux ◽

Scaling Laws ◽

Flow Model ◽

Supersonic Flows ◽

Coronal Loops ◽

Characteristic Parameters

AbstractWe have developed a detailed siphon flow model for coronal loops. We find scaling laws relating the characteristic parameters of the loop, explore systematically the space of solutions and show that supersonic flows are impossible for realistic values of heat flux at the base of the upflowing leg.

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Development of a Rapid Survey Method of Sampling and Analysis for Asbestos in Ambient Air

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100096400 ◽

1972 ◽

Vol 30 ◽

pp. 630-631 ◽

Cited By ~ 2

Author(s):

R. E. Heffelfinger ◽

C. W. Melton ◽

D. L. Kiefer ◽

W. M. Henry ◽

R. J. Thompson

Keyword(s):

Neutron Activation ◽

Ambient Air ◽

Survey Method ◽

Potential Hazard ◽

Transmission Microscopy ◽

Comparative Analyses ◽

Asbestos Fibers ◽

Controlled Conditions ◽

Unequivocal Identification ◽

Identification And Quantification

A methodology has been developed and demonstrated which is capable of determining total amounts of asbestos fibers and fibrils in air ranging from as low as fractional nanograms per cubic meter (ng/m3) of air to several micrograms/m3. The method involves the collection of samples on an absolute filter and provides an unequivocal identification and quantification of the total asbestos contents including fibrils in the collected samples.The developed method depends on the trituration under controlled conditions to reduce the fibers to fibrils, separation of the asbestos fibrils from other collected air particulates (beneficiation), and the use of transmission microscopy for identification and quantification. Its validity has been tested by comparative analyses by neutron activation techniques. It can supply the data needed to set emissions criteria and to serve as a basis for assessing the potential hazard for asbestos pollution to the populace.

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