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Prediction of Research Topics Using Ensemble of Best Predictors from Similar Dataset
{"references": ["J. S. Armstrong, \"Combining Forecasts\", Principles of Forecasting: A Handbook for Researchers and Practitioners, Kluwer Academic Publishers, 2001.", "D. Berndt, & J. Clifford, J., \"Using dynamic time warping to find patterns in time series\".
Budi, Indra+2 more
openaire +2 more sources
ABSTRACT Since the January 2021 attack on the US Capitol, the influence of White Christian nationalism (WCN) has become even more pronounced and concerning. Adult educators and the public need a better understanding of whether and how WCN can be unlearned, and the roles ordinary citizens and adult educators can play in this process.
Esther Prins
wiley +1 more source
Abstract Background The dose‐averaged linear energy transfer (LETD) in proton therapy (PT) has in pre‐clinical studies been linked to the relative biological effectiveness (RBE) of protons. Until recently, the most common PT delivery method in prostate cancer has been double‐scattered PT, with LETD only available through dedicated Monte Carlo (MC ...
Rasmus Klitgaard+7 more
wiley +1 more source
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan+6 more
wiley +1 more source
A Hybrid Technique to Classify Trending Topic on Twitter Dataset [PDF]
Pramod S Nair+2 more
openaire +2 more sources
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien+8 more
wiley +1 more source
Abstract Purpose Volumetric‐modulated arc therapy (VMAT) treatment planning allows a compromise between a sufficient coverage of the planning target volume (PTV) and a simultaneous sparing of organs‐at‐risk (OARs). Particularly in the case of lung tumors, deciding whether it is possible or worth spending more time on further improvements of a treatment
Johann Brand+4 more
wiley +1 more source
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du+7 more
wiley +1 more source
TextNetTopics (Yousef et al. in Front Genet 13:893378, 2022. https://doi.org/10.3389/fgene.2022.893378 ) is a recently developed approach that performs text classification-based topics (a topic is a group of terms or words) extracted from a Latent ...
Daniel Voskergian+2 more
doaj +1 more source