Results 71 to 80 of about 2,527,813 (283)

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

open access: yesMolecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley   +5 more
wiley   +1 more source

Bekenstein's generalized second law of thermodynamics: The role of the hoop conjecture

open access: yesPhysics Letters B, 2015
Bekenstein's generalized second law (GSL) of thermodynamics asserts that the sum of black-hole entropy, SBH=Ac3/4ħG (here A is the black-hole surface area), and the ordinary entropy of matter and radiation fields in the black-hole exterior region never ...
Shahar Hod
doaj   +1 more source

The green-leaved variant of Eucalyptus largiflorens: a story involving hybridization and observant local people [PDF]

open access: yes, 2010
Eucalyptus largiflorens (Black Box) is the most common tree in the Chowilla anabranch system on the Murray River floodplain. It typically has dull, glaucous, grey-green leaves.
Parsons, Robert F., Zubrinich, Tatia M.
core  

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns   +10 more
wiley   +1 more source

Building Uncertainty Models on Top of Black-Box Predictive APIs

open access: yesIEEE Access, 2020
With the commoditization of machine learning, more and more off-the-shelf models are available as part of code libraries or cloud services. Typically, data scientists and other users apply these models as “black boxes” within larger ...
Axel Brando   +3 more
doaj   +1 more source

Unbiased Black-Box Complexities of Jump Functions

open access: yes, 2014
We analyze the unbiased black-box complexity of jump functions with small, medium, and large sizes of the fitness plateau surrounding the optimal solution.
Doerr, Benjamin   +2 more
core   +2 more sources

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

open access: yesMolecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel   +6 more
wiley   +1 more source

Improved Bounds on Quantum Learning Algorithms

open access: yes, 2004
In this article we give several new results on the complexity of algorithms that learn Boolean functions from quantum queries and quantum examples. Hunziker et al.
A. Blumer   +16 more
core   +1 more source

Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra   +6 more
wiley   +1 more source

Black Box White Arrow

open access: yes, 2014
The present paper proposes a new and systematic approach to the so-called black box group methods in computational group theory. Instead of a single black box, we consider categories of black boxes and their morphisms. This makes new classes of black box
Borovik, Alexandre   +1 more
core  

Home - About - Disclaimer - Privacy