Results 121 to 130 of about 229,295 (345)
A Scalable Approach for Efficiently Generating Structured Dataset Topic Profiles
, 2014 The increasing adoption of Linked Data principles has led to an abundance of datasets on the Web. However, take-up and reuse is hindered by the lack of descriptive information about the nature of the data, such as their topic coverage, dynamics or evolution. To address this issue, we propose an approach for creating linked dataset profiles.
Besnik Fetahu +5 more
openaire +3 more sources
Molecular Oncology, EarlyView.Ixazomib inhibits proteasome‐mediated degradation of topoisomerase I induced by irinotecan, thereby restoring drug sensitivity and promoting tumor cell death in colorectal cancer. Irinotecan, a topoisomerase I (topoI) inhibitor, is widely used for colorectal cancer, but resistance remains a major clinical challenge.
Yuho Ebata +10 more
wiley +1 more source
IEEE AccessTopic modeling is an unsupervised learning technique, that is extensively used for discovering latent topics in huge text corpora. However, existing models often fall short in cross-lingual scenarios, particularly for morphologically rich and low ...
Sania Aftar +3 more
doaj +1 more source
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
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
TwiInsight: Discovering Topics and Sentiments from Social Media Datasets
CoRR, 2017 Social media platforms contain a great wealth of information which provides opportunities for us to explore hidden patterns or unknown correlations, and understand people's satisfaction with what they are discussing. As one showcase, in this paper, we present a system, TwiInsight which explores the insight of Twitter data.
Zhengkui Wang +4 more
openaire +2 more sources
Molecular Oncology, EarlyView.Both cg12821679MAPRE3 methylation and MAPRE3 expression are significantly associated with overall survival (OS) of non‐small cell lung cancer. Meanwhile, MAPRE3 expression significantly modified the effect of smoking cessation on OS. Smoking cessation benefits OS merely for patients with high MAPRE3 expression.
Chao Chen +14 more
wiley +1 more source
Analyzing OSHA Construction Accident Reports Using BERTopic Topic Modeling for Thematic Insights
BuildingsHazards at construction sites can lead to severe accidents, posing significant risks to worker safety, financial stability, and public confidence in industry safety standards.
Yuntao Cao +6 more
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
Discovering Topic Representative Terms for Short Text Clustering
IEEE Access, 2019 Clustering short texts are one of the most important text analysis methods to help extract knowledge from online social media platforms, such as Twitter, Facebook, and Weibo.
Shuiqiao Yang, Guangyan Huang, Borui Cai
doaj +1 more source