Results 51 to 60 of about 555,379 (343)
Warped embeddings between Einstein manifolds [PDF]
Mod.Phys.Lett.A25:1521-1530,2010, 2010 Warped embeddings from a lower dimensional Einstein manifold into a higher dimensional one are analyzed. Explicit solutions for the embedding metrics are obtained for all cases of codimension 1 embeddings and some of the codimension n>1 cases. Some of the interesting features of the embedding metrics are pointed out and potential applications of the ...
arxiv +1 more source
Embeddings and Expansions [PDF]
Bulletin of the Belgian Mathematical Society - Simon Stevin, 2003 In this paper we sketch a general theory of embeddings for geometries with string diagrams, focusing on their hulls. An affine-like geometry, which we call expansion, is associated to every embedding. As we shall prove, the universal cover of the expansion of an embedding is the expansion of the hull of that embedding. Some applications of this theorem
openaire +3 more sources
FEBS Letters, EarlyView.Venom peptides have shown promise in treating pain. Our study uses computer screening to identify a peptide that targets a sodium channel (NaV1.7) linked to chronic pain. We produced the peptide in the laboratory and refined its design, advancing the search for innovative pain therapies.
Gagan Sharma +8 more
wiley +1 more source
Dual embedding with input embedding and output embedding for better word representation
Indonesian Journal of Electrical Engineering and Computer Science, 2022 Recent <span lang="EN-US">studies in distributed vector representations for words have variety of ways to represent words. We propose a various ways using input embedding and output embedding to better represent words than single model. We compared the performance in terms of word analogy and word similarity with each input and output embeddings ...
Yoonjoo Ahn, Eugene Rhee, Jihoon Lee
openaire +1 more source
Molecular Oncology, EarlyView.In this explorative biomarker analysis, we assessed serial sampling of circulating tumor cells (CTCs) with CellSearch in two randomized trials testing immune checkpoint inhibitors (ICIs) in metastatic breast cancer. Our data demonstrate a prognostic potential of CTCs, most apparent 4 weeks into ICI therapy.
Nikolai Kragøe Andresen +13 more
wiley +1 more source
Discrete Word Embedding for Logical Natural Language Understanding [PDF]
arXiv, 2020 We propose an unsupervised neural model for learning a discrete embedding of words. Unlike existing discrete embeddings, our binary embedding supports vector arithmetic operations similar to continuous embeddings. Our embedding represents each word as a set of propositional statements describing a transition rule in classical/STRIPS planning formalism.
arxiv
Osaka Journal of Mathematics, 2010 We discuss constant mean curvature bubbletons in Euclidean 3-space via dressing with simple factors, and prove that single bubbletons are not embedded.
openaire +6 more sources
Molecular Oncology, EarlyView.The LEXOVE prospective study evaluated plasma cell‐free extracellular vesicle (cfEV) dynamics using Bradford assay and dynamic light scattering in metastatic non‐small cell lung cancer patients undergoing first‐line treatments, correlating a ∆cfEV < 20% with improved median progression‐free survival in responders versus non‐responders.
Valerio Gristina +17 more
wiley +1 more source
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings [PDF]
arXiv, 2022 Given multiple source word embeddings learnt using diverse algorithms and lexical resources, meta word embedding learning methods attempt to learn more accurate and wide-coverage word embeddings. Prior work on meta-embedding has repeatedly discovered that simple vector concatenation of the source embeddings to be a competitive baseline. However, it
arxiv