Results 71 to 80 of about 637,299 (342)

Pericytes change function depending on glioblastoma vicinity: emphasis on immune regulation

open access: yesMolecular Oncology, EarlyView.
Pericytes alter their transcriptome depending on their proximity to the tumor core. In the tumor core, pericytes display a more active state with higher communication strength but with lower immune activation potential and a shift toward extracellular matrix production.
Carolina Buizza   +5 more
wiley   +1 more source

Stacking-BERT model for Chinese medical procedure entity normalization

open access: yesMathematical Biosciences and Engineering, 2023
Medical procedure entity normalization is an important task to realize medical information sharing at the semantic level; it faces main challenges such as variety and similarity in real-world practice.
Luqi Li   +5 more
doaj   +1 more source

Dynamical Stability of Slip-stacking Particles

open access: yes, 2014
We study the stability of particles in slip-stacking configuration, used to nearly double proton beam intensity at Fermilab. We introduce universal area factors to calculate the available phase space area for any set of beam parameters without individual
Eldred, Jeffrey, Zwaska, Robert
core   +2 more sources

Single‐cell transcriptomics redefines focal neuroendocrine differentiation as a distinct prostate cancer pathology

open access: yesMolecular Oncology, EarlyView.
Single‐cell transcriptomics of prostate cancer patient‐derived xenografts reveals distinct features of neuroendocrine (NE) subtypes. Tumours with focal NE differentiation (NED) share transcriptional programmes with adenocarcinoma, differing from large and small cell neuroendocrine prostate cancer (NEPC). Our work defines the molecular landscape of NEPC,
Rosalia Quezada Urban   +12 more
wiley   +1 more source

Stacking tunable interlayer magnetism in bilayer CrI3

open access: yes, 2019
Diverse interlayer tunability of physical properties of two-dimensional layers mostly lies in the covalent-like quasi-bonding that is significant in electronic structures but rather weak for energetics.
Chen, Dachuan   +6 more
core   +1 more source

Nitric oxide‐forming nitrite reductases in the anaerobic ammonium oxidizer Kuenenia stuttgartiensis

open access: yesFEBS Open Bio, EarlyView.
Anammox bacteria remove fixed nitrogen from their environment via anaerobic ammonium oxidation (anammox) with nitrite as electron acceptor and dinitrogen gas as product. The first anammox step is the conversion of nitrite to nitric oxide by nitrite reductase.
Femke J. Vermeir   +4 more
wiley   +1 more source

Daily reservoir inflow prediction using stacking ensemble of machine learning algorithms

open access: yesJournal of Hydroinformatics
The present study aims to evaluate the potentiality of Bidirectional Long Short-Term Memory (Bi-LSTM), Convolutional Neural Networks (CNNs), eXtreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM), and Random Forest (RF) for ...
Deepjyoti Deb   +2 more
doaj   +1 more source

Identification of Dementia With Lewy Bodies by Skin Biopsy in Recent‐Onset Cognitive Impairment

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Immunofluorescence for phosphorylated alpha‐synuclein in skin biopsy samples is an emerging biomarker in synucleinopathies comprising Dementia with Lewy bodies. In this pilot study, 19 patients with recent‐onset (≤ 18 months) cognitive impairment underwent skin biopsy at baseline, with follow‐up clinical re‐evaluation.
Alessandro Furia   +13 more
wiley   +1 more source

Radio Signal Modulation Recognition Method Based on Hybrid Feature and Ensemble Learning: For Radar and Jamming Signals

open access: yesSensors
The detection performance of radar is significantly impaired by active jamming and mutual interference from other radars. This paper proposes a radio signal modulation recognition method to accurately recognize these signals, which helps in the jamming ...
Yu Zhou   +3 more
doaj   +1 more source

An Empirical Evaluation of Stacked Ensembles With Different Meta-Learners in Imbalanced Classification

open access: yesIEEE Access, 2021
The selection of a meta-learner determines the success of a stacked ensemble as the meta-learner is responsible for the final predictions of the stacked ensemble.
Seng Zian   +2 more
doaj   +1 more source

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