Structure of milk triacylglycerols of five marsupials and one monotreme: Evidence for an unusual pattern common to marsupials and eutherians but not found in the echidna, a monotreme

1980 ◽  
Vol 65 (2) ◽  
pp. 427-430 ◽  
Author(s):  
Murray R. Grigor
Keyword(s):  
Unusual Pattern ◽  
Milk Triacylglycerols

Unusual Pattern of Lymphocytic Alveolitis with CD4+Predominance

2005 ◽  
Vol 17 (02) ◽  
pp. 66-67
Author(s):  
André Moreira ◽  
Josefina Rodrigues ◽  
Luís Delgado ◽  
António Morais ◽  
Maria Palmares ◽  
...  
Keyword(s):  
Unusual Pattern

scholarly journals An Unusual Pattern in Serum Protein Electrophoresis to Take in Mind: A Case Report

2021 ◽  
pp. e00200
Author(s):  
J.M. Gastélum-Cano ◽  
J. Fragoso-Flores ◽  
V.M. Noffal-Nuño ◽  
M. Deffis-Court
Keyword(s):  
Case Report ◽  
Serum Protein ◽  
Protein Electrophoresis ◽  
Serum Protein Electrophoresis ◽  
Unusual Pattern

scholarly journals A Resource-Allocating Network for Function Interpolation

1991 ◽  
Vol 3 (2) ◽  
pp. 213-225 ◽  
Author(s):  
John Platt
Keyword(s):  
Time Series ◽  
Learning Process ◽  
Gradient Descent ◽  
Chaotic Time Series ◽  
Local Region ◽  
Unusual Pattern ◽  
Network Parameters ◽  
Learning Patterns ◽  
Compact Representations

We have created a network that allocates a new computational unit whenever an unusual pattern is presented to the network. This network forms compact representations, yet learns easily and rapidly. The network can be used at any time in the learning process and the learning patterns do not have to be repeated. The units in this network respond to only a local region of the space of input values. The network learns by allocating new units and adjusting the parameters of existing units. If the network performs poorly on a presented pattern, then a new unit is allocated that corrects the response to the presented pattern. If the network performs well on a presented pattern, then the network parameters are updated using standard LMS gradient descent. We have obtained good results with our resource-allocating network (RAN). For predicting the Mackey-Glass chaotic time series, RAN learns much faster than do those using backpropagation networks and uses a comparable number of synapses.

Unusual pattern of mitochondrial DNA deletions in skeletal muscle of an adult human with chronic fatigue syndrome

1995 ◽  
Vol 4 (4) ◽  
pp. 751-754 ◽  
Author(s):  
Chunfang Zhang ◽  
Alessandra Baumer ◽  
Ian R. Mackay ◽  
Anthony W. Linnane ◽  
Phillip Nagley
Keyword(s):  
Skeletal Muscle ◽  
Mitochondrial Dna ◽  
Chronic Fatigue Syndrome ◽  
Chronic Fatigue ◽  
Unusual Pattern ◽  
Adult Human ◽  
Fatigue Syndrome ◽  
Dna Deletions

scholarly journals Malignant peripheral nerve sheath tumor of the tongue with an unusual pattern of recurrence

2017 ◽  
Vol 29 (2) ◽  
pp. 115-118 ◽  
Author(s):  
Soumyajit Roy ◽  
Ajeet Kumar Gandhi ◽  
Bharti Devnani ◽  
Lavleen Singh ◽  
Bidhu Kalyan Mohanti
Keyword(s):  
Peripheral Nerve ◽  
Nerve Sheath Tumor ◽  
Peripheral Nerve Sheath Tumor ◽  
Unusual Pattern ◽  
Nerve Sheath ◽  
Pattern Of Recurrence

scholarly journals Focal mid-ventricular anterior ballooning: An unusual pattern of Takotsubo cardiomyopathy

2015 ◽  
Vol 4 (2) ◽  
pp. 108-110 ◽  
Author(s):  
Selami Demirelli ◽  
Emrah Ermis ◽  
Engin Hatem ◽  
Abdulkadir Uslu ◽  
Lutfu Askin
Keyword(s):  
Takotsubo Cardiomyopathy ◽  
Unusual Pattern
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