Comment on E2 Contribution to the 8B ---> p + 7Be Coulomb Dissociation Cross Section [K. Langanke and T.D. Shoppa, Phys. Rev. C49(1994)R1771, ER(1994)] [PDF]
Phys.Rev.C52:1706-1708,1995, 1994 The E2 cross section calculated by Langanke and Shoppa for the Riken experiment on the Coulomb Dissociation of 8B uses E2 nuclear matrix elements from one specific model. Other nuclear models predict a considerably smaller E2 cross section (by a pproximately a factor of 3 to 4), and Langanke and Shoppa appear to assume the most optimistic scenario ...
arxiv +1 more source
Prostaglandin E2 promotes features of replicative senescence in chronically activated human CD8+ T cells. [PDF]
, 2014 Prostaglandin E2 (PGE2), a pleiotropic immunomodulatory molecule, and its free radical catalyzed isoform, iso-PGE2, are frequently elevated in the context of cancer and chronic infection.
Chou, Jennifer P +4 more
core +2 more sources
A study to evaluate the efficacy of combined prostaglandins and vaginal estradiol compared to prostaglandin alone in labor induction [PDF]
, 2020 Background: Induction of labor (IOL) is a process where labor is initiated artificially before its spontaneous onset for the delivery of feto placental unit by mechanical or pharmacologic methods.Methods: The present Hospital based prospective randomized
B., Anjana, Sheikh, Saniya
core +2 more sources
Blood, 2008 Recently, a number of clinical trials used either mesenchymal stem cells (MSCs) or natural killer (NK) cells in an attempt to improve the effectiveness of hematopoietic stem cell transplantation (HSCT).
G. Spaggiari +5 more
semanticscholar +1 more source
Internal Language Model Adaptation with Text-Only Data for End-to-End Speech Recognition [PDF]
Interspeech 2022, Incheon, Korea, 2021 Text-only adaptation of an end-to-end (E2E) model remains a challenging task for automatic speech recognition (ASR). Language model (LM) fusion-based approaches require an additional external LM during inference, significantly increasing the computation cost. To overcome this, we propose an internal LM adaptation (ILMA) of the E2E model using text-only
arxiv
An Inflammatory Mediator, Prostaglandin E2, in Colorectal Cancer
Cancer Journal, 2013 It is widely accepted that intake of dietary fats and chronic inflammation are risk factors for developing colorectal cancer. Arachidonic acid is a major component of animal fats, and the bioactive lipids produced from this substrate play critical roles ...
Dingzhi Wang, R. Dubois
semanticscholar +1 more source
Evidence that the E2-isoprostane, 15-E2t-isoprostane (8-iso-prostaglandin E2) is formed in vivo
Journal of Lipid Research, 1998 D2/E2-isoprostanes are prostaglandin D2/E2-like compounds that are produced in vivo as non-enzymatic products of free radical catalyzed peroxidation of arachidonic acid.
Jason D. Morrow +4 more
doaj
Ascorbic acid enhances the inhibitory effect of aspirin on neuronal cyclooxygenase-2-mediated prostaglandin E2 production [PDF]
Journal of Neuroimmunology 174(1-2): 39-51 (2006), 2007 In the present study, we show that ascorbic acid dose-dependently inhibited interleukin-1beta (IL-1beta)-mediated PGE2 synthesis in the human neuronal cell line, SK-N-SH. Furthermore, in combination with aspirin, ascorbic acid augmented the inhibitory effect of aspirin on PGE2 synthesis. However, ascorbic acid had no synergistic effect along with other
arxiv
Modular End-to-end Automatic Speech Recognition Framework for Acoustic-to-word Model [PDF]
arXiv, 2020 End-to-end (E2E) systems have played a more and more important role in automatic speech recognition (ASR) and achieved great performance. However, E2E systems recognize output word sequences directly with the input acoustic feature, which can only be trained on limited acoustic data.
arxiv
Exploring Non-Autoregressive End-To-End Neural Modeling For English Mispronunciation Detection And Diagnosis [PDF]
arXiv, 2021 End-to-end (E2E) neural modeling has emerged as one predominant school of thought to develop computer-assisted language training (CAPT) systems, showing competitive performance to conventional pronunciation-scoring based methods. However, current E2E neural methods for CAPT are faced with at least two pivotal challenges.
arxiv