Results 141 to 150 of about 217,450 (265)

A Review of Physics-Informed and Data-Driven Surrogate Models for Power Transformer Fault Diagnosis. [PDF]

Sensors (Basel)
Wan G, Yang K, Xiong F, Chen J.
europepmc   +1 more source

Feature Engineering for Surrogate Models of Consolidation Degree in Additive Manufacturing. [PDF]

Materials (Basel), 2021
Roy M, Wodo O.
europepmc   +1 more source

Partial FAK suppression promotes tumor growth, an effect reversed by macrophage p110δ PI3K inactivation

Molecular Oncology, EarlyView.
Partial inhibition of focal adhesion kinase (FAK) can paradoxically promote tumor growth, rather than simply producing a weaker antitumor effect than that observed with strong FAK suppression. In breast cancer and melanoma models, targeting p110δ PI3K, particularly in macrophages, counteracted these tumor‐promoting effects, highlighting the importance ...
Lydia Xenou, Niki Tzenaki, Anna Tsapara, Maria Tzardi, Evangelia A. Papakonstanti   +4 more
wiley   +1 more source

Separating predictive accuracy from functional behaviour in machine-learning surrogate models for geoengineering applications. [PDF]

Sci Rep
Żeruń M.
europepmc   +1 more source

4E analysis of a two-stage refrigeration system through surrogate models based on response surface methods and hybrid grey wolf optimizer. [PDF]

PLoS One, 2023
Ahmed R, Mahadzir S, Mota-Babiloni A, Al-Amin M, Usmani AY, Ashraf Rana Z, Yassin H, Shaik S, Hussain F.   +8 more
europepmc   +1 more source

The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer

Molecular Oncology, EarlyView.
Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad, Silvio Carlo Ermanno Tosatto, Emanuela Leonardi   +2 more
wiley   +1 more source

Mechanical validation of 3D-printed orthopaedic surrogate models for screw insertion training. [PDF]

Eur J Orthop Surg Traumatol
Thomassen A, Lee B, Granger M, Massey P, Chauvin B, Addevico F, Solitro G.   +6 more
europepmc   +1 more source

Machine learning as a tool to engineer microstructures: Morphological prediction of tannin-based colloids using Bayesian surrogate models. [PDF]

MRS Bull, 2022
Jin SA, Kämäräinen T, Rinke P, Rojas OJ, Todorović M.   +4 more
europepmc   +1 more source

APOBEC3 activity and DNA polymerase‐ε deficiency are associated with distinct IDH1 R132 hotspot mutations

Molecular Oncology, EarlyView.
Isocitrate dehydrogenase 1 (IDH1) mutations are highly recurrent in multiple human cancer types, including cholangiocarcinoma and glioma. IDH1 R132C is the most common IDH1 mutation in cholangiocarcinoma and likely arises from APOBEC3A‐ or APOBEC3B‐mediated deamination.
Kelly E. Butler, Bilal A. Lone, Ecem Unal, A. Rouf Banday   +3 more
wiley   +1 more source

A flexible framework for hyperparameter optimization using homotopy and surrogate models. [PDF]

Sci Rep
Abraham SJ, Maduranga KDG, Kinnison J, Carmichael Z, Hauenstein JD, Scheirer WJ.   +5 more
europepmc   +1 more source