863 research outputs found
An Algorithmic Framework for Computing Validation Performance Bounds by Using Suboptimal Models
Practical model building processes are often time-consuming because many
different models must be trained and validated. In this paper, we introduce a
novel algorithm that can be used for computing the lower and the upper bounds
of model validation errors without actually training the model itself. A key
idea behind our algorithm is using a side information available from a
suboptimal model. If a reasonably good suboptimal model is available, our
algorithm can compute lower and upper bounds of many useful quantities for
making inferences on the unknown target model. We demonstrate the advantage of
our algorithm in the context of model selection for regularized learning
problems
Holographic Entanglement and Causal Shadow in Time-Dependent Janus Black Hole
We holographically compute an inter-boundary entanglement entropy in a
time-dependent two-sided black hole which was constructed in hep-th/0701108 by
applying time-dependent Janus deformation to BTZ black hole. The black hole
contains "causal shadow region" which is causally disconnected from both the
conformal boundaries. We find that the Janus deformation results in an earlier
phase transition between the extremal surfaces and that the phase transition
disappears when the causal shadow is sufficiently large.Comment: PDFLaTeX, 1+24 pages, 5 figures, v2: minor changes, accepted by JHE
Establishment of evaluation method for fatigue life and fatigue characteristics for aluminum alloy/CFRP dissimilar heat welding joints by friction stir spot welding
内容の要約広島大学(Hiroshima University)博士(工学)Doctor of Engineeringdoctora
Attenuation of Immune-Mediated Renal Injury by Telmisartan, an Angiotensin Receptor Blocker and a Selective PPAR-γ Activator
Background/Aims: Anti-glomerular basement membrane (GBM) nephritis is characterized by activation of the renin-angiotensin system. This study aimed to determine the question of whether a temporary angiotensin II blockade at the initial stage of anti-GBM nephritis is able to attenuate the disease as well as differences in renoprotection among angiotensin II receptor blockers (ARBs) with distinct peroxisome proliferator-activated receptor (PPAR)-γ-modulating activities. Methods: C57BL/6J mice were immunized with rabbit IgG, followed by intravenous injection of rabbit anti-mouse antibodies. Mice were then treated with telmisartan, losartan, and telmisartan + GW9662 (a PPAR-γ antagonist) for 5 days, or hydralazine for 9 days. On days 8 and 13, mice were sacrificed to obtain tissues for histological analysis. Results: The temporary administration of telmisartan significantly suppressed glomerular damage compared to hydralazine. Losartan showed a similar effect but was less effective. Co-administration of GW9662 attenuated the renoprotective effect of telmisartan, almost to levels observed with losartan. In particular, it limited the decreased infiltration of inflammatory cells and preservation of capillaries in the glomeruli induced by telmisartan. Conclusion: Temporary angiotensin II blockade at the initial stage of anti-GBM disease dramatically inhibited its progression. In addition to a class effect of ARBs, telmisartan modified inflammation and endothelial damage in the kidney through its PPAR-γ-agonistic action
Engineering the substrate specificity of toluene degrading enzyme XylM using biosensor XylS and machine learning
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