Results 111 to 120 of about 229,295 (345)
sifds: Swedish inflation forecast data set 1999:Q2–2005:Q2 [PDF]
A data set consisting of 25 forecasts (1999–2005) by Sveriges Riksbank (RB) and 18 forecasts (2001–2005) by Konjunkturinstitutet (KI) for Swedish inflation rates measured as CPI and KPIX.Inflation forecast data; inflation data; Sweden; CPI; KPIX ...
Lundholm, Michael
core
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
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
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +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
ConvNTM: Conversational Neural Topic Model
, 2023 Topic models have been thoroughly investigated for multiple years due to their great potential in analyzing and understanding texts. Recently, researchers combine the study of topic models with deep learning techniques, known as Neural Topic Models (NTMs)
Li, Jinpeng +3 more
core +1 more source
Molecular Oncology, EarlyView.Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source
Journal of Big DataTopic modeling methods proved to be effective for inferring latent topics from short texts. Dealing with short texts is challenging yet helpful for many real-world applications, due to the sparse terms in the text and the high dimensionality ...
Mutasem K. Alsmadi +8 more
doaj +1 more source
Software framework for hyperparameters optimization of models with additive regularization
Научно-технический вестник информационных технологий, механики и оптикиThe processing of unstructured data, such as natural language texts, is one of the urgent tasks in the development of intelligent products. In turn, topic modeling as a method of working with unmarked and partially marked text data is a natural choice ...
M. A. Khodorchenko +3 more
doaj +1 more source