Results 91 to 100 of about 88,502 (304)
Induction and Analysis of Anti-CD40-induced Colitis in Mice
Bio-Protocol, 2019 Colon inflammation or colitis affects more than 1 million people worldwide. Several pre-clinical models, including chemical-induced (i.e., DSS, TNBS) or pathogen-induced (i.e., Citrobacter rodentium) have been used to study mechanisms involved in the ...
Barbara Joyce-Shaikh +2 more
doaj +1 more source
Frontiers in Cell and Developmental Biology, 2021 The super healer Murphy Roths Large (MRL) mouse represents the “holy grail” of mammalian regenerative model to decipher the key mechanisms that underlies regeneration in mammals.
Gautier Tejedor +8 more
doaj +1 more source
Element content and daily intake from dietary supplements (nutraceuticals) based on algae, garlic, yeast fish and krill oils—Should consumers be worried? [PDF]
, 2016 The authors would like to thank Agilent Technologies for the loan of the 8800 ICP-QQQ used in this study. Michael Stiboller thanks European Union’s Lifelong Learning Programme ‘Leonardo da Vinci’: “ALUMNI UNI GRAZ MOBILITY PROGRAMME 2013-2015” for ...
Feldmann, Jorg +4 more
core +1 more source
Journal of Pharmaceutical and Biomedical Analysis Open, 2023 Polysaccharide activation by periodate oxidation to form aldehydes, followed by conjugation with proteins via reductive amination is a general procedure to make polysaccharide-protein conjugate vaccines.
Weidong Tong +4 more
doaj
PLoS ONE, 2021 ObjectiveAdult elastic cartilage has limited repair capacity. MRL/MpJ (MRL) mice, by contrast, are capable of spontaneously healing ear punctures. This study was undertaken to characterize microbiome differences between healer and non-healer mice and to ...
Cassandra Velasco +7 more
doaj +1 more source
Uniform State Abstraction For Reinforcement Learning [PDF]
arXiv, 2020 Potential Based Reward Shaping combined with a potential function based on appropriately defined abstract knowledge has been shown to significantly improve learning speed in Reinforcement Learning. MultiGrid Reinforcement Learning (MRL) has further shown that such abstract knowledge in the form of a potential function can be learned almost solely from ...
arxiv
An MRL-Based Design Solution for RIS-Assisted MU-MIMO Wireless System under Time-Varying Channels [PDF]
arXiv, 2023 Utilizing Deep Reinforcement Learning (DRL) for Reconfigurable Intelligent Surface (RIS) assisted wireless communication has been extensively researched. However, existing DRL methods either act as a simple optimizer or only solve problems with concurrent Channel State Information (CSI) represented in the training data set.
arxiv
mSphere, 2016 Candida auris, first described in 2009, has since emerged as an important, multidrug-resistant, nosocomial agent of candidemia, with large outbreaks reported worldwide and high mortality rates associated with therapeutic failure.
Andrew M. Borman +2 more
doaj +1 more source
MRL order, log-concavity and an application to peacocks [PDF]
Stochastic Processes and their Applications, 2015, vol. 125, issue
4, pages 1282-1306, 2015 We provide an equivalent log-concavity condition to the mean residual life (MRL) ordering for real-valued processes. This result, combined with classical properties of total positivity of order 2, allows to exhibit new families of integrable processes which increase in the MRL order (MRL processes).
arxiv
Multirole Logic (Extended Abstract) [PDF]
, 2017 We identify multirole logic as a new form of logic in which conjunction/disjunction is interpreted as an ultrafilter on the power set of some underlying set (of roles) and the notion of negation is generalized to endomorphisms on this underlying set.
Wu, Hanwen, Xi, Hongwei
core