Results 71 to 80 of about 1,551,832 (303)
Molecular Oncology, EarlyView.CD226+CD8+ T cells express elevated levels of RUNX2, exhibit higher proliferation capacity, cytokines and cytolytic molecules expression, and migratory capacity. In contrast, CD226−CD8+ T cells display an exhausted phenotype associated with the increased expression of co‐inhibitory receptors and impaired effector functions.
Maryam Rezaeifar +4 more
wiley +1 more source
Machine learning for semi-automated scoping reviews
Intelligent Systems with Applications, 2023 Scoping reviews are a type of research synthesis that aim to map the literature on a particular topic or research area. Though originally intended to provide a quick overview of a field of research, scoping review teams have been overwhelmed in recent ...
Sharon Mozgai +6 more
doaj
Bibliometric Analysis to Scan and Scrape New Datasets: It’s all about that BASS
International Journal of Population Data Science, 2017 Objectives The main objective of this poster is to present a pilot project in determining emerging population health themes and identifying key research-enabling datasets ahead of time.
Karen Tingay +2 more
doaj +1 more source
IEEE Access, 2022 The imbalanced datasets and their classification has pulled in as a hot research topic over the years. It is used in different fields, for example, security, finance, health, and many others.
Abeer S. Desuky +4 more
doaj +1 more source
Molecular Oncology, EarlyView.Triacsin C inhibition of the acyl‐CoA synthetase long chain (ACSL) family decreases multiple myeloma cell survival, proliferation, mitochondrial respiration, and membrane potential. Made with Biorender.com. Multiple myeloma (MM) is an incurable cancer of plasma cells with a 5‐year survival rate of 59%.
Connor S. Murphy +12 more
wiley +1 more source
Detecting Topic and Sentiment Trends in Physician Rating Websites: Analysis of Online Reviews Using 3-Wave Datasets [PDF]
, 2021 Adnan Muhammad Shah +2 more
openalex +1 more source
Discovering topics in text datasets by visualizing relevant words
, 2017 When dealing with large collections of documents, it is imperative to quickly get an overview of the texts' contents. In this paper we show how this can be achieved by using a clustering algorithm to identify topics in the dataset and then selecting and visualizing relevant words, which distinguish a group of documents from the rest of the texts, to ...
Horn, Franziska +4 more
openaire +2 more sources
Topic Grouper: An Agglomerative Clustering Approach to Topic Modeling [PDF]
arXiv, 2019 We introduce Topic Grouper as a complementary approach in the field of probabilistic topic modeling. Topic Grouper creates a disjunctive partitioning of the training vocabulary in a stepwise manner such that resulting partitions represent topics. It is governed by a simple generative model, where the likelihood to generate the training documents via ...
arxiv
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings [PDF]
arXiv, 2021 Growing polarization of the news media has been blamed for fanning disagreement, controversy and even violence. Early identification of polarized topics is thus an urgent matter that can help mitigate conflict. However, accurate measurement of topic-wise polarization is still an open research challenge.
arxiv
Molecular Oncology, EarlyView.Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley +1 more source