Results 71 to 80 of about 771,325 (233)

Modelling Emotion Based Reward Valuation with Computational Reinforcement Learning [PDF]

open access: yes, 2019
We show that computational reinforcement learning can model human decision making in the Iowa Gambling Task (IGT). The IGT is a card game, which tests decision making under uncertainty.
Child, C. H. T., Koluman, C., Weyde, T.
core  

Solcore: A multi-scale, python-based library for modelling solar cells and semiconductor materials

open access: yes, 2018
Computational models can provide significant insight into the operation mechanisms and deficiencies of photovoltaic solar cells. Solcore is a modular set of computational tools, written in Python 3, for the design and simulation of photovoltaic solar ...
Alonso-Álvarez, D.   +5 more
core   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

open access: yesMolecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero   +11 more
wiley   +1 more source

Pseudo-potential lattice Boltzmann model for large density and viscosity ratio fluids

open access: yesAIP Advances, 2022
The flow of two immiscible fluid components with large density and viscosity ratios is considered. Using the pseudo-potential lattice Boltzmann model with a non-ideal equation of state and a mixture viscosity formulation, we can develop a model that ...
G. G. Pereira
doaj   +1 more source

Improving PARP inhibitor efficacy in bladder cancer without genetic BRCAness by combination with PLX51107

open access: yesMolecular Oncology, EarlyView.
Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz   +15 more
wiley   +1 more source

Kinematic-gravity model of geodynamo

open access: yesГеофизический журнал, 2013
Based on the results of solving the inverse problem of magnetometry and analysis of some known models of the Earth magnetic field generation a model is proposed in which the current producing magnetic field is the vortex motion of positively charged ...
V.A. Kochnev
doaj   +1 more source

Cytoplasmic p21 promotes stemness of colon cancer cells via activation of the NFκB pathway

open access: yesMolecular Oncology, EarlyView.
Cytoplasmic p21 promotes colorectal cancer stem cell (CSC) features by destabilizing the NFκB–IκB complex, activating NFκB signaling, and upregulating BCL‐xL and COX2. In contrast to nuclear p21, cytoplasmic p21 enhances spheroid formation and stemness transcription factor CD133.
Arnatchai Maiuthed   +10 more
wiley   +1 more source

Computational modelling of void growth in swelled hydrogels [PDF]

open access: yes, 2017
The nature and the large notable distinguishing features of polymeric gels explain their pervasive use as biomaterials in both regenerative medicine and tissue engineering.
Elkolli, M., Gangloff, S.C., Siad, L.
core  

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

open access: yesMolecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra   +10 more
wiley   +1 more source

Computational and Mathematical Modelling of the EGF Receptor System [PDF]

open access: yes, 2008
This chapter gives an overview of computational and mathematical modelling of the EGF receptor system. It begins with a survey of motivations for producing such models, then describes the main approaches that are taken to carrying out such modelling, viz.
A Citri   +31 more
core   +1 more source

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