Results 111 to 120 of about 1,803,633 (138)

Time-Dependent CO₂-Brine-Rock Interaction Effect on Sand Onset Prediction: A Case Study of Dolomite-Rich Sandstone in Air Benakat Formation, South Sumatra, Indonesia. [PDF]

ACS Omega
Abdul Aziz P, Marhaendrajana T, Nurhandoko BEB, Siagian UWR.   +3 more
europepmc   +1 more source

Roles of small GTPases in cardiac hypertrophy (Review). [PDF]

Mol Med Rep
Wang X, Nie X, Wang H, Ren Z.
europepmc   +1 more source

The G Protein Estrogen Receptor (GPER) is involved in the resistance to the CDK4/6 inhibitor palbociclib in breast cancer. [PDF]

J Exp Clin Cancer Res
Talia M, Cirillo F, Scordamaglia D, Di Dio M, Zicarelli A, De Rosis S, Miglietta AM, Capalbo C, De Francesco EM, Belfiore A, Grande F, Rizzuti B, Occhiuzzi MA, Fortino G, Guzzo A, Greco G, Maggiolini M, Lappano R.   +17 more
europepmc   +1 more source

Application fo Stackelberg equilibrium theory to n-person games(Nonlinear Analysis and Mathematical Economics)

Application fo Stackelberg equilibrium theory to n-person games(Nonlinear Analysis and Mathematical Economics)
openaire  

Real-time 3D temperature reconstruction in microwave cancer hyperthermia from scarce temperature measurements. [PDF]

Nat Commun
Gaffoglio R, Giordanengo G, Righero M, Zucchi M, Firuzalizadeh M, Musacchio Adorisio G, Bellone A, Vallan A, Perrone G, Vecchi G.   +9 more
europepmc   +1 more source

Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma. [PDF]

PLoS One
Hasan MAM, Maniruzzaman M, Huang J, Shin J.   +3 more
europepmc   +1 more source

Spatial domains identification in spatial transcriptomics using modality-aware and subspace-enhanced graph contrastive learning. [PDF]

Comput Struct Biotechnol J
Gui Y, Li C, Xu Y.
europepmc   +1 more source

Hierarchical Bayesian modeling of multi-region brain cell count data

Dimmock S, Exley BMS, Moore G, Menage L, Delogu A, Schultz SR, Warburton EC, Houghton C, O’Donnell C.   +8 more
europepmc   +1 more source

A mathematical estimation of the structural parameter for prediction of Forward Osmosis (FO) performance

Journal of Water Process Engineering, 2021
Abstract Forward osmosis (FO) is an emerging novel filtration technology used to reclaim water from waste streams or concentrate the valuable component. Accurate water flux prediction of FO is essential to facilitate process optimization and scale-up of membrane systems The overall objective of this investigation was to propose and confirm a model ...
Woo-Ju Kim, Dennis R. Heldman
openaire   +2 more sources