Results 41 to 50 of about 770,485 (338)
Molecular Oncology, EarlyView.Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Blending the physical and the digital through conceptual spaces [PDF]
, 2009 The rise of the Internet facilitates an ever increasing growth of virtual, i.e. digital spaces which co-exist with the physical environment, i.e. the physical space. In that, the question arises, how physical and digital space can interact synchronously.
Benn, Neil +3 more
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A Fully Abstract Symbolic Semantics for Psi-Calculi
, 2010 We present a symbolic transition system and bisimulation equivalence for psi-calculi, and show that it is fully abstract with respect to bisimulation congruence in the non-symbolic semantics.
A. M. Pitts +26 more
core +3 more sources
A Logic for Constraint-based Security Protocol Analysis [PDF]
, 2006 We propose PS-LTL, a pure-past security linear temporal logic that allows the specification of a variety of authentication, secrecy and data freshness properties.
Corin, R.J., Etalle, S., Saptawijaya, A.
core +5 more sources
Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib
Molecular Oncology, EarlyView.WNTinib, a Wnt/CTNNB1 inhibitor, was tested in hepatoblastoma (HB) experimental models. It delayed tumor growth and improved survival in CTNNB1‐mutant in vivo models. In organoids, WNTinib outperformed cisplatin and showed enhanced efficacy in combination therapy, supporting its potential as a targeted treatment for CTNNB1‐mutated HB.
Ugne Balaseviciute +17 more
wiley +1 more source
Temporal Feature Selection with Symbolic Regression [PDF]
, 2017 Building and discovering useful features when constructing machine learning models is the central task for the machine learning practitioner. Good features are useful not only in increasing the predictive power of a model but also in illuminating the ...
Fusting, Christopher Winter
core +1 more source
Tayub as a Symbolic Interaction Medium in Sedekah Bumi Ritual in Pati Regency
Harmonia: Journal of Arts Research and Education, 2014 This study aims to find, understand, and describe the process of symbolic interaction in sedekah bumi ritual and the supporting symbols of Tayub as the symbolic interaction medium in the ritual.
Sisca Dwi Suryani
doaj +1 more source
Stats, 2021 This paper presents an unsupervised feature selection method for multi-dimensional histogram-valued data. We define a multi-role measure, called the compactness, based on the concept size of given objects and/or clusters described using a fixed number of
Manabu Ichino +2 more
doaj +1 more source
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Non-Symbolic Fragmentation [PDF]
, 2002 This paper reports on the use of non-symbolic fragmentation of data for securing communications. Non-symbolic fragmentation, or NSF, relies on breaking up data into non-symbolic fragments, which are (usually irregularly-sized) chunks whose boundaries do ...
Ashman, Helen +4 more
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