Monitoring and predicting cotton leaf diseases using deep learning approaches and mathematical models. [PDF]
Rehman A, Akhtar N, Alhazmi OH.
europepmc +1 more source
Predictive immunoinformatics reveal promising safety and anti-onchocerciasis protective immune response profiles to vaccine candidates (Ov-RAL-2 and Ov-103) in anticipation of phase I clinical trials. [PDF]
Nebangwa DN +12 more
europepmc +1 more source
Thalamocortical functional connectivity and rapid antidepressant and antisuicidal effects of low-dose ketamine infusion among patients with treatment-resistant depression. [PDF]
Tu PC +7 more
europepmc +1 more source
A CRISPR/Cas9-based enhancement of high-throughput single-cell transcriptomics. [PDF]
Pandey AC +17 more
europepmc +1 more source
Enhancing in vivo cell and tissue targeting by modulation of polymer nanoparticles and macrophage decoys. [PDF]
Piotrowski-Daspit AS +10 more
europepmc +1 more source
Satisfiability of Quantitative Probabilistic CTL: Rise to the Challenge
Miroslav Chodil +2 more
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In this study, an inconsistency-tolerant hierarchical probabilistic computation tree logic (IHpCTL) is developed to establish a new extended model-checking paradigm referred to as IHpCTL model checking, which is intended to verify randomized, open, large, and complex concurrent systems.
Norihiro Kamide
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The Satisfiability and Validity Problems for Probabilistic CTL
Antonı́n Kučera
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