Results 151 to 160 of about 57,774 (174)

Hydrogel Viscoelasticity Modulates Cell Nascent Extracellular Matrix Deposition. [PDF]

Macromol Rapid Commun
Tan ML, Roy A, Plaster EM, Wolfenson H, Abraham A, Loebel C.   +5 more
europepmc   +1 more source

Neurochemical changes in GABA+, Glx, and the excitatory/inhibitory ratio in the calcarine cortex with healthy aging. [PDF]

Neuroimage
Salsano I, Glesinger RJ, John JA, Garrison GM, Horne LK, Ende GC, Rice DL, Coutant AT, Kress KA, Petts AJ, Oeltzschner G, Wilson TW.   +11 more
europepmc   +1 more source

Specific auxin and medium combinations alter <i>Saccharomyces cerevisiae</i> growth. [PDF]

MicroPubl Biol
Nnabuenyi N, Sands MA, Camlin NJ.
europepmc   +1 more source

Reviewer #1 (Public Review): Analysis of NIH K99/R00 awards and the career progression of awardees

openaire   +2 more sources

15-PGDH inhibition enhances hematopoietic regeneration during aging. [PDF]

Stem Cells
Chaudhary R, Cordova BA, Hong M, Klein BR, Contreras LA, Rashmil R, Goshevski F, Smith JNP, Taylor DJ, Pieper AA, Markowitz S, Desai AB.   +11 more
europepmc   +1 more source

Head and Neck Cancer in Fanconi Anemia: Clinical Challenges and Molecular Insights into a DNA Repair Disorder. [PDF]

Cancers (Basel)
Choi J, Jung M.
europepmc   +1 more source

Reviewer #2 (Public Review): Analysis of NIH K99/R00 Awards and the Career Progression of Awardees

openaire   +2 more sources

Reviewer #3 (Public Review): Analysis of NIH K99/R00 Awards and the Career Progression of Awardees

openaire   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Team R00 at Mowjaz Multi-Topic Labelling Task for Arabic Articles

2021 12th International Conference on Information and Communication Systems (ICICS), 2021
This paper describes the winning system for the Mowjaz Multi-Topic Labelling Task. The goal of the task is to classify articles based on their topics and predict multiple topics in one article. The proposed system is an ensemble model that consists of six BERT-Based models trained on different versions of the dataset. It achieved an F1-Micro score of 0.
Ahmed Qarqaz, Malak A. Abdullah
openaire   +1 more source