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Partial Attenuation of Respiratory Syncytial Virus with a Deletion of a Small Hydrophobic Gene Is Associated with Elevated Interleukin-1β Responses
ABSTRACT The small hydrophobic (SH) gene of respiratory syncytial virus (RSV), a major cause of infant hospitalization, encodes a viroporin of unknown function. SH gene knockout virus (RSV ΔSH) isExpand
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Inflammatory responses to influenza vaccination at the extremes of age
Age affects the immune response to vaccination, with individuals at the extremes of age responding poorly. The initial inflammatory response to antigenic materials shapes the subsequent adaptiveExpand
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The synergistic effects of combining TLR ligand based adjuvants on the cytokine response are dependent upon p38/JNK signalling
HighlightsComparison of cytokine responses to TLR ligands in human cells and tissue.Synergy in responses when R848 (TLR7/8 ligand) and GLA (TLR4 ligand) combined.Synergy was inhibited by blocking theExpand
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Identifying users and activities with cognitive signal processing from a wearable headband
TLDR
This paper studies the supervised classification of electroencephalogram (EEG) brain signals to identify persons and their activities with a reasonable degree of precision. Expand
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The impact of timing of maternal influenza immunization on infant antibody levels at birth
Pregnant women and infants are at an increased risk of severe disease after influenza infection. Maternal immunization is a potent tool to protect both these at‐risk groups. While the primary aim ofExpand
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Characteristics of CARMA1-BCL10-MALT1-A20-NF-κB expression in T cell-acute lymphocytic leukemia
  • Y. Ma, Ziwei Liao, +10 authors Y. Li
  • Biology, Medicine
  • European Journal of Medical Research
  • 11 November 2014
BackgroundKnowledge of the oncogenic signaling pathways of T-cell acute lymphoblastic leukemia (T-ALL) remains limited. Constitutive aberrant activation of the nuclear factor kappa B (NF-κB)Expand
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Evolutionary semi-supervised rough categorization of brain signals from a wearable headband
TLDR
This paper explores the possibility of using distance based semi-supervised learning for creating lower and upper approximations of biometric signals. Expand
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