Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance
NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang +3 more
wiley +1 more source
Investigating new drugs from marine seaweed metabolites for cervical cancer therapy by molecular dynamic modeling approach. [PDF]
Islam SI +10 more
europepmc +1 more source
Long‐Term Follow‐Up of Chemotherapy‐Associated Biological Aging in Women With Early Breast Cancer
Women threated with adjuvant chemotherapy for early breast cancer have sustained long‐term increase in p16INK4a,, a robust marker of cell senescence, suggesting a chemotherapy‐associated age acceleration. p16INK4a as well as other biomarkers may identify patients at greatest risk for senescence‐related diseases of aging.
Hyman B. Muss +12 more
wiley +1 more source
Towards Sustainable and Dynamic Modeling Analysis in Korean Pine Nuts: An Online Learning Approach with NIRS. [PDF]
Li H, Jiang D, Dong W, Cheng J, Zhang X.
europepmc +1 more source
Computational Fluid Dynamic Modeling and Experimental Validation of Adsorption-Based CO<sub>2</sub> Separation From Flue Gas Using Porous Activated Carbon. [PDF]
Aliyu M +5 more
europepmc +1 more source
Type-3 fuzzy logic and Lyapunov approach for dynamic modeling and analysis of financial markets. [PDF]
Yan SR, Mohammadzadeh A, Ghaderpour E.
europepmc +1 more source
Routine immunization against Streptococcus pneumoniae and Haemophilus influenzae type B and antibiotic consumption in India: a dynamic modeling analysis. [PDF]
Kumar CK +6 more
europepmc +1 more source
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Marketing Science, 2020This paper investigates the underlying mechanisms of crowdfunding behavior (forward-looking delaying investment behavior and social interactions), which lead to the crowdfunding dynamics.
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A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the natural parameters of the multinomial distributions that represent the topics.
David M. Blei, John D. Lafferty
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Automation of excavation work calls for a robotic system able to perform the planned digging work that is responsive to interaction forces experienced during excavation. The development of automated excavation control methods requires a dynamic model to describe the evolution of the excavator motion with time.
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