Results 71 to 80 of about 52,865,053 (238)
KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer
Molecular Oncology, EarlyView.Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan +16 more
wiley +1 more source
Statistically validated network for analysing textual data
Applied Network ScienceThis paper presents a novel methodology, called Word Co-occurrence SVN topic model (WCSVNtm), for document clustering and topic modeling in textual datasets.
Andrea Simonetti +3 more
doaj +1 more source
Introducing a global dataset on conflict forecasts and news topics
Data & PolicyAbstractThis article provides a structured description of openly available news topics and forecasts for armed conflict at the national and grid cell level starting January 2010. The news topics, as well as the forecasts, are updated monthly at conflictforecast.org and provide coverage for more than 170 countries and about 65,000 grid cells of size 55 ×
Hannes Mueller +2 more
openaire +4 more sources
Molecular Oncology, EarlyView.RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
Enhanced Fault Diagnosis Method for Tractors Using Random Forest Algorithm [PDF]
Advances in Engineering and Intelligence SystemsIn this study, we initially introduce a robust method to categorize large groups of educators into distinct communities, termed "genres," based on their shared instructional preferences.
Milad Mohebbi, Yalda Mohebbi
doaj +1 more source
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
TR-GPT-CF: A Topic Refinement Method Using GPT and Coherence Filtering
Applied SciencesTraditional topic models are effective at uncovering patterns within large text corpora but often struggle with capturing the contextual nuances necessary for meaningful interpretation.
Ika Widiastuti, Hwan-Seung Yong
doaj +1 more source
Language Model-Driven Topic Clustering and Summarization for News Articles
IEEE Access, 2019 Topic models have been widely utilized in Topic Detection and Tracking tasks, which aim to detect, track, and describe topics from a stream of broadcast news reports.
Peng Yang, Wenhan Li, Guangzhen Zhao
doaj +1 more source
Molecular Oncology, EarlyView.Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura +19 more
wiley +1 more source
MATEC Web of Conferences, 2018 Aiming at the problem that the lack of accurate and efficient off-topic detection model for current Automated English Scoring System in China, an unsupervised off-topic essay detection model based on hybrid semantic space was proposed. Firstly, the essay
Huang Guimin +3 more
doaj +1 more source