Results 91 to 100 of about 555,379 (343)
Embedding diagrams in stationary spacetimes [PDF]
arXiv, 2023 We find the spatial and dynamic embedding diagrams in some stationary spacetimes. The spatial embeddings include the NUT, pure NUT and Kerr spacetimes. In the case of pure NUT spacetime, the spatial embedding equations are solved in terms of the elliptic integrals.
arxiv
Molecular and functional profiling unravels targetable vulnerabilities in colorectal cancer
Molecular Oncology, EarlyView.We used whole exome and RNA‐sequencing to profile divergent genomic and transcriptomic landscapes of microsatellite stable (MSS) and microsatellite instable (MSI) colorectal cancer. Alterations were classified using a computational score for integrative cancer variant annotation and prioritization.
Efstathios‐Iason Vlachavas +15 more
wiley +1 more source
Information and Computation, 1995 AbstractWe prove exact results on dilations in cycles for important parallel computer interconnection networks such as complete trees, hypercubes, and 2- and 3- dimensional meshes. Moreover, we show that trees, X-trees, n-dimensional meshes, pyramids, and trees of meshes have the same dilations both in the path and in the cycle.
Ondrej Sýkora +3 more
openaire +2 more sources
Molecular Oncology, EarlyView.Cancer stem cells are associated with aggressive disease, but a deep characterization of such markers is lacking in endometrial cancer. This study uses imaging mass cytometry to explore putative cancer stem cell markers in endometrial tumors and corresponding organoid models.
Hilde E. Lien +7 more
wiley +1 more source
Digital Content Security by Butterfly and Elliptic Curve Cryptography with Channel Optimization [PDF]
International Journal of Mathematical, Engineering and Management SciencesAs more and more services and solutions are utilizing digital data, it becomes imperative to provide strong security mechanisms to safeguard sensitive content with a rapidly growing number of users.
Kartikey Pandey, Deepmala Sharma
doaj +1 more source
Stochastic variation in the FOXM1 transcription program mediates replication stress tolerance
Molecular Oncology, EarlyView.Cellular heterogeneity is a major cause of drug resistance in cancer. Segeren et al. used single‐cell transcriptomics to investigate gene expression events that correlate with sensitivity to the DNA‐damaging drugs gemcitabine and prexasertib. They show that dampened expression of transcription factor FOXM1 and its target genes protected cells against ...
Hendrika A. Segeren +4 more
wiley +1 more source
Neural-based Noise Filtering from Word Embeddings [PDF]
arXiv, 2016 Word embeddings have been demonstrated to benefit NLP tasks impressively. Yet, there is room for improvement in the vector representations, because current word embeddings typically contain unnecessary information, i.e., noise. We propose two novel models to improve word embeddings by unsupervised learning, in order to yield word denoising embeddings ...
arxiv
Semantics and Pragmatics, 2009 Over the last decade, various proposals have been made for supplanting the classical Gricean theory of scalar implicature with conventionalist (i.e. lexicalist or syntax-based) treatments. In contradistinction to the classical view, conventionalist theories predict that scalar inferences occur systematically and freely in embedded positions. We present
Geurts, B., Pouscoulous, N.
openaire +5 more sources
Molecular Oncology, EarlyView.Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim +8 more
wiley +1 more source
Dynamic Bernoulli Embeddings for Language Evolution [PDF]
arXiv, 2017 Word embeddings are a powerful approach for unsupervised analysis of language. Recently, Rudolph et al. (2016) developed exponential family embeddings, which cast word embeddings in a probabilistic framework. Here, we develop dynamic embeddings, building on exponential family embeddings to capture how the meanings of words change over time.
arxiv