Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Haeman Jang"'
Autor:
Robert G. Webster, K. M. Sturm-Ramirez, David A. Boltz, Richard J. Smeyne, Yun Jiao, Kennie R. Shepherd, Haeman Jang
Publikováno v:
Proceedings of the National Academy of Sciences. 106:14063-14068
One of the greatest influenza pandemic threats at this time is posed by the highly pathogenic H5N1 avian influenza viruses. To date, 61% of the 433 known human cases of H5N1 infection have proved fatal. Animals infected by H5N1 viruses have demonstra
Autor:
Justin D. Boyd, Ciaran J. Faherty, Richard J. Smeyne, Kennie R. Shepherd, Sally Slack, Yun Jiao, Haeman Jang
Publikováno v:
Brain Research. 1175:107-116
Parkinson's disease (PD) is a neurodegenerative disease whose hallmark pathological features include a selective loss of dopaminergic neurons in the midbrain. Recent studies have described the activation of a stress-induced signal cascade, c-Jun N-te
Publikováno v:
Neuroscience Letters. 401:188-193
As a model for molecular mimicry in neurological disease, we study people infected with human T-lymphotropic virus type 1 (HTLV-1) who develop HTLV-1 associated myelopathy/tropical spastic paraparesis (HAM/TSP), an immune-mediated disease of the cent
Autor:
Amar K. Pani, Jennifer L. McClaren, Richard J. Smeyne, Robert G. Webster, Ane Korff, David A. Boltz, Michelle Smeyne, Haeman Jang
Publikováno v:
The Journal of neuroscience : the official journal of the Society for Neuroscience. 32(5)
The A/VN/1203/04 strain of the H5N1 influenza virus is capable of infecting the CNS of mice and inducing a number of neurodegenerative pathologies. Here, we examined the effects of H5N1 on several pathological aspects affected in parkinsonism, includ
Purpose Given the recent paper by Jang et al. on “A Highly Pathogenic H5N1 Influenza Virus” which reported a novel animal model of parkinsonism, we aimed to perform a complete historical review of the 20th and 21st century literature on parkinson
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1f849f46bc51e2a73625ac88acfa3e0
https://europepmc.org/articles/PMC4684089/
https://europepmc.org/articles/PMC4684089/
Publikováno v:
Current Topics in Microbiology and Immunology ISBN: 3540255974
As amodel for molecular mimicry, we study patients infected with human T-lymphotropic virus type 1 (HTLV-1) who develop a neurological disease called HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP), a disease with important biolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6712f2b983acff3780d827fe70dd702
https://doi.org/10.1007/3-540-30791-5_7
https://doi.org/10.1007/3-540-30791-5_7
Publikováno v:
DNA Computing ISBN: 9783540209300
DNA
DNA
Affinity separation with magnetic beads is an important and widely used technique for DNA computing. We have designed and implemented an experimental lab-on-a-chip module for affinity-bead separation for DNA-based concept learning. Magnetic beads wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98b0aa6a5424b7dbbebd5497fae83311
https://doi.org/10.1007/978-3-540-24628-2_1
https://doi.org/10.1007/978-3-540-24628-2_1
Publikováno v:
DNA Computing ISBN: 9783540005315
DNA
DNA
Theorem proving is a classical AI problem having a broad range of applications. Since its complexity grows exponentially with the size of the problem, many researchers have proposed methods to parallelize the theorem proving process. Here, we use the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6a4f9152e8dd16ba81c799d251cd9bb
https://doi.org/10.1007/3-540-36440-4_14
https://doi.org/10.1007/3-540-36440-4_14
Publikováno v:
DNA Computing ISBN: 9783540005315
DNA
DNA
Version space is used in inductive concept learning to represent the hypothesis space where the goal concept is expressed as a conjunction of attribute values. The size of the version space increases exponentially with the number of attributes. We pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2f71a34b9030ec6d625a8a2c15ddfe6
https://doi.org/10.1007/3-540-36440-4_13
https://doi.org/10.1007/3-540-36440-4_13