Results 121 to 130 of about 637,325 (290)
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
It Matters to the Viewer: Social Reviews of Books Adapted for Film
Digital StudiesOn the social reviewing platform Goodreads, reviewers simultaneously assess both book and film when reviewing books with a film adaptation. Using computational methods, we analyze 151,100 Goodreads book reviews about adapted titles and find that the ...
David Mimno +2 more
doaj +2 more sources
, 2010 The syntactic topic model (STM) is a Bayesian nonparametric model of language that discovers latent distributions of words (topics) that are both semantically and syntactically coherent. The STM models dependency parsed corpora where sentences are grouped into documents.
Boyd-Graber, Jordan, Blei, David M.
openaire +2 more sources
Potential therapeutic targeting of BKCa channels in glioblastoma treatment
Molecular Oncology, EarlyView.This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak +4 more
wiley +1 more source
A bibliometric analysis of One Health research, guided by the Joint Plan of Action, 2010–2024
CABI One HealthBackground: This study aimed to assess whether current research trends in One Health emphasise zoonotic and foodborne diseases and antimicrobial resistance, as has historically been the case, or whether they increasingly align with a more holistic ...
Martin Szomszor +8 more
doaj +1 more source
Dirichlet belief networks for topic structure learning
, 2018 Recently, considerable research effort has been devoted to developing deep architectures for topic models to learn topic structures. Although several deep models have been proposed to learn better topic proportions of documents, how to leverage the ...
Buntine, Wray +3 more
core
Molecular Oncology, EarlyView.Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon +13 more
wiley +1 more source
Future InternetIn higher education, institutional quality is traditionally assessed through metrics such as academic programs, research output, educational resources, and community services. However, it is important that their activities align with student expectations,
Abbirah Ahmed +2 more
doaj +1 more source
Conceptualization Topic Modeling
, 2017 Recently, topic modeling has been widely used to discover the abstract topics in text corpora. Most of the existing topic models are based on the assumption of three-layer hierarchical Bayesian structure, i.e. each document is modeled as a probability distribution over topics, and each topic is a probability distribution over words.
Tang, Yi-Kun +3 more
openaire +2 more sources