Results 171 to 180 of about 9,392,573 (389)

Reframed GES with a Neural Conditional Dependence Measure

open access: yes, 2022
In a nonparametric setting, the causal structure is often identifiable only up to Markov equivalence, and for the purpose of causal inference, it is useful to learn a graphical representation of the Markov equivalence class (MEC).
Hu, Shoubo   +4 more
core  

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

open access: yesMolecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat   +8 more
wiley   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

open access: yesMolecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge   +17 more
wiley   +1 more source

The association between short-term emotion dynamics and cigarette dependence: A comprehensive examination of dynamic measures

open access: green, 2020
Anne Buu   +7 more
openalex   +2 more sources

MEASURING THE REDSHIFT DEPENDENCE OF THE COSMIC MICROWAVE BACKGROUND MONOPOLE TEMPERATURE WITH PLANCK DATA [PDF]

open access: green, 2012
Ivan De Martino   +6 more
openalex   +1 more source

A Measure of the System Dependence of Automated Metrics

open access: yesProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Automated metrics for Machine Translation have made significant progress, with the goal of replacing expensive and time-consuming human evaluations. These metrics are typically assessed by their correlation with human judgments, which captures the monotonic relationship between human and metric scores.
Pius von Däniken   +2 more
openaire   +2 more sources

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