Results 121 to 130 of about 1,042,562 (308)
AlgorithmsThe increase in the number and complexity of interconnected systems requires new methods to identify potential threats in today’s hyperconnected world. This trend affects systems ranging from smart homes and Internet of Things (IoT) devices to critical ...
Paul-Vasile Vezeteu +2 more
doaj +1 more source
Pharmacological chromatin remodeling enhances response to estrogen therapy in ER+ breast cancer
Molecular Oncology, EarlyView.Estrogen therapy elicits clinical benefit in ~ 30% of patients with endocrine‐resistant estrogen receptor (ER)‐positive breast cancer. Based on findings that ER transcriptional activation underlies response to estrogen therapy, we tested the effects of epigenetic dysregulation via pharmacological inhibition of histone deacetylases (HDACi).
Anneka L. Johnson Thomas +16 more
wiley +1 more source
Molecular Oncology, EarlyView.Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
Supervised Community Accommodation: Final Report
, 2019 The Queensland Department of Child Safety, Youth and Women (DCSYW) commissioned researchers from the Griffith Criminology Institute (GCI) to evaluate the Supervised Community Accommodation (SCA) program.
Wood, William, Hayes, Hennessey
core
Semi-supervised latent variable models for sentence-level sentiment analysis [PDF]
, 2011 We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as a small amount of manually crafted sentence labels, to learn sentence-level
McDonald, Ryan, Täckström, Oscar
core
ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks
Existing self-supervised adversarial training (self-AT) methods rely on hand-crafted adversarial attack strategies for PGD attacks, which fail to adapt to the evolving learning dynamics of the model and do not account for instance-specific ...
Saini, Rajkumar +5 more
core +1 more source
Molecular Oncology, EarlyView.This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi +6 more
wiley +1 more source
Generative self-supervised learning for seismic event classification [PDF]
Deep learning has been widely applied to seismic signal classification, predominantly through supervised learning, typically relying on large labeled datasets. However, since the process of labeling large volumes of seismic data by domain experts is time-
Stankovic, Lina +4 more
core
fjmalmaraz/supervised-filters: Supervised Filters for EEG Signal.
, 2017 <p>This software reproduces calculations of standard power band filters (PBF) and DS filter, performed for the research paper" Supervised Filters for EEG Signal in Naturally Occurring Epilepsy Forecasting".
Francisco Javier Muñoz Almaraz +5 more
core +1 more source
A social institution supervisor’s professional establishment
Studia Humanitatis, 2016 The article covers the problem of а social sphere supervisor’s professional establishment. It is proven that professionalconsciousness (professional self-conception) includes one's image about themselves as a member of a professional community.
Astremska Iryna Volodymyrivna
doaj