627 research outputs found
Reading Comprehension using Entity-based Memory Network
This paper introduces a novel neural network model for question answering,
the \emph{entity-based memory network}. It enhances neural networks' ability of
representing and calculating information over a long period by keeping records
of entities contained in text. The core component is a memory pool which
comprises entities' states. These entities' states are continuously updated
according to the input text. Questions with regard to the input text are used
to search the memory pool for related entities and answers are further
predicted based on the states of retrieved entities. Compared with previous
memory network models, the proposed model is capable of handling fine-grained
information and more sophisticated relations based on entities. We formulated
several different tasks as question answering problems and tested the proposed
model. Experiments reported satisfying results
Real-space observation of short-period cubic lattice of skyrmions in MnGe
Emergent phenomena and functions arising from topological electron-spin
textures in real space or momentum space are attracting growing interest for
new concept of states of matter as well as for possible applications to
spintronics. One such example is a magnetic skyrmion, a topologically stable
nanoscale spin vortex structure characterized by a topological index.
Real-space regular arrays of skyrmions are described by combination of
multi-directional spin helixes. Nanoscale configurations and characteristics of
the two-dimensional skyrmion hexagonal-lattice have been revealed extensively
by real-space observations. Other three-dimensional forms of skyrmion lattices,
such as a cubic-lattice of skyrmions, are also anticipated to exist, yet their
direct observations remain elusive. Here we report real-space observations of
spin configurations of the skyrmion cubic-lattice in MnGe with a very short
period (~3 nm) and hence endowed with the largest skyrmion number density. The
skyrmion lattices parallel to the {100} atomic lattices are directly observed
using Lorentz transmission electron microscopes (Lorentz TEMs). It enables the
first simultaneous observation of magnetic skyrmions and underlying
atomic-lattice fringes. These results indicate the emergence of
skyrmion-antiskyrmion lattice in MnGe, which is a source of emergent
electromagnetic responses and will open a possibility of controlling
few-nanometer scale skyrmion lattices through atomic lattice modulations
“Playboy Bunny” Sign of Congestive Heart Failure
In emergency, ultrasound has been widely used as a noninvasive and effective examination to evaluate congestive heart failure. We highlight “Playboy Bunny” sign as a reliable marker and an important clue to the diagnosis of passive hepatic congestion, caused by congestive heart failure
Sesamin catechol glucuronides exert anti-inflammatory effects by suppressing IFN-β and iNOS expression through the deconjugation in macrophage-like J774.1 cells
Sesamin, a representative sesame lignan, has health-promoting activities. Sesamin is converted into catechol derivatives and further into their glucuronides or sulfates in vivo, whereas the biological activities of sesamin metabolites remain unclear. We examined the inhibitory effects of sesamin metabolites on the lipopolysaccharide (LPS)-induced NO production in mouse macrophage-like J774.1 cells and found that a mono-catechol derivative SC1, (7α,7'α,8α,8'α)-3,4-dihydroxy-3',4'-methylenedioxy-7,9':7',9-diepoxylignane, has a much higher activity than sesamin and other metabolites. The inhibitory effects of SC1 glucuronides were time-dependently enhanced, associated with the intracellular accumulation of SC1 and the methylated form. SC1 glucuronides and SC1 attenuated the expression of inducible NO synthase (iNOS) and upstream interferon-β (IFN-β) in the LPS-stimulated macrophages. The inhibitory effects of SC1 glucuronides against NO production were canceled by the β-glucuronidase inhibitor and enhanced by the catechol- O-methyltransferase inhibitor. Our results suggest that SC1 glucuronides exert the anti-inflammatory effects by inhibiting the IFN-β/iNOS signaling through macrophage-mediated deconjugation
Cetuximab plus FOLFOX for Patients with Metastatic Colorectal Cancer with Poor Performance Status and/or Severe Tumor-Related Complications
Introduction: Cetuximab-based chemotherapy showed a statistically significantly higher response rate compared with chemotherapy such as FOLFOX. Therefore, FOLFOX plus cetuximab is suspected to be the best regimen to alleviate tumor-related symptoms with a high response rate. Case Report: Here we present the results of 8 consecutive patients with metastatic colorectal cancer with poor performance status and/or severe complications who were treated with first-line FOLFOX with cetuximab. Six of 8 patients achieved an apparent clinical benefit, including radiological response and symptoms improvement. Two patients with BRAF mutation could achieve neither clinical benefit nor radiological response. Conclusion: Although an optimal line of therapy with cetuximab is unclear yet with bevacizumab in mind, we propose that patients who need a tumor response to alleviate their symptoms due to advanced disease might be candidates for first-line cetuximab-based therapy as shown in our cases. Additionally, patients with BRAF mutant tumors might be important candidates for novel targeted therapy in the future to improve their poor prognosis
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