Results 241 to 250 of about 35,180,990 (360)
A novel Bayesian strategy for the identification of spatially varying material properties and model validation: an application to static elastography [PDF]
Phaedon‐Stelios Koutsourelakis
openalex +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
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
Multi-Task Cascade Forest Framework for Predicting Acute Toxicity across Species. [PDF]
Liu K +7 more
europepmc +1 more source
A Novel Jet Model: Magnetically Collimated, Radiation-Pressure Driven Jet [PDF]
Shun Takeuchi +2 more
openalex +1 more source
Genetic testing in epithelial ovarian cancer includes both germline and tumor‐testing. This approach often duplicates resources. The current prospective study assessed the feasibility of tumor‐first multigene testing by comparing tumor tissue with germline testing of peripheral blood using an 18‐gene NGS panel in 106 patients.
Elisabeth Spenard +12 more
wiley +1 more source
Model Validation and Model Error Modeling
To validate an estimated model and to have a good understanding of its reliability is a central aspect of System Identification. This contribution discusses these aspects in the light of model error models that are explicit descriptions of the model error.
openaire +1 more source
Deep inelastic scattering from gauge string duality in D3-D7 brane model [PDF]
C.A. Ballon Bayona +2 more
openalex +1 more source
ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang +8 more
wiley +1 more source
Enhancing mathematical modeling competencies through AI-powered VR. [PDF]
Gürefe N, Öksüz H, Sarpkaya Aktaş G.
europepmc +1 more source

