Results 71 to 80 of about 6,841,171 (281)

Patient‐Personalized Membrane‐Coated Magnetic Nanovectors: Probing the Biomimetic Interface for Targeted Tumor Theranostics

Advanced NanoBiomed Research, EarlyView.
This study presents a label‐free spectroscopic platform to evaluate membrane protein conformation on patient‐derived glioblastoma cell membrane‐coated magnetic nanovectors. This work demonstrates that preserving membrane protein integrity during nanoparticle fabrication enhances homotypic tumor targeting and reduces hard protein corona formation ...
Daniele De Pasquale, Michela Patrucco, Melike Belenli Gümüş, Alessandra Flori, Luca Menichetti, Stefania Moscato, Valentina Bonanni, Alessandra Gianoncelli, Milan Žižić, Pietro Fiaschi, Monica Truffelli, Andrea Bianconi, Melis Emanet, Gianmarco Ferri, Chiara Maria Mazzanti, Carlotta Pucci, Gianni Ciofani   +16 more
wiley   +1 more source

Brownian dynamics simulation of a hard-sphere suspension [PDF]

Physical Review E, 1999
In this paper we discuss the nonequilibrium shear viscosity of a suspension of hard spheres that is modeled by neglecting hydrodynamic interactions in a consistent way. The aim is to establish the true capabilities of this model in predicting the properties of real suspensions.
openaire   +1 more source

Radiative Hybrid Nanofluid Flow Over a Porous Riga Surface: A Fuzzy–ANN Modeling Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a fuzzy–ANN model to investigate the nonlinear thermal transport in a tangent hyperbolic (Tanh) hybrid nanofluid flow past a porous Riga surface, considering the effects of Rosseland diffusion, chemical reactions, and internal volumetric heating.
Azad Hussain, Rabia Zetoon, Reeha Iqbal
wiley   +1 more source

Leukocyte Motility Models Assessed through Simulation and Multi-objective Optimization-Based Model Selection.

PLoS Computational Biology, 2016
The advent of two-photon microscopy now reveals unprecedented, detailed spatio-temporal data on cellular motility and interactions in vivo. Understanding cellular motility patterns is key to gaining insight into the development and possible manipulation ...
Mark N Read, Jacqueline Bailey, Jon Timmis, Tatyana Chtanova   +3 more
doaj   +1 more source

Synergistic Effect on Enhanced Oil Recovery in High Salinity Carbonate Reservoirs Using a Novel PEI‐Functionalized Carbon Nanotube Nanocomposite

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Enhancing oil recovery (EOR) in mature reservoirs is hindered by high interfacial tension (IFT) and oil‐wet rock formations, especially under harsh, high‐salinity conditions. This study aims to overcome these limitations by synthesizing a novel carbon nanotube nanocomposite covalently grafted with polyethylenimine and non‐covalently ...
Mohamed Abu Shuheil, Dilipkumar S. Patel, N. Beemkumar, Tariq Abdulkader Alrihaim, Dhirendra Nath Thatoi, Ripendeep Singh, Rohit Kumar, Parminder Singh, Ahmad Khalid   +8 more
wiley   +1 more source

EspcTM: Kinetic Transition Network Based on Trajectory Mapping in Effective Energy Rescaling Space

Frontiers in Molecular Biosciences, 2020
The transition network provides a key to reveal the thermodynamic and kinetic properties of biomolecular systems. In this paper, we introduce a new method, named effective energy rescaling space trajectory mapping (EspcTM), to detect metastable states ...
Zhenyu Wang, Xin Zhou, Guanghong Zuo
doaj   +1 more source

Residual Strength Prediction of Chemically Reactive Two‐Phase Nanofluid Flow in a Bingham–Papanastasiou Rheological Theory Using a Morlet‐Based Wavelet Neural Network Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The behavior of nanofluid flow involving a zero‐mass flux condition has received considerable interest because of a realistic scenario. In reality, this condition confines the optimistic accumulation or disappearance of nanoparticles past a sheet, constructing a more physically realistic demonstration through several applications, such as heat
Umair Khan, Hamza Rauf, Aurang Zaib, J. K. Madhukesh   +3 more
wiley   +1 more source

Streamline and Isotherm Visual Analysis of Darcy–Forchheimer von Karman Spinning Flow of Maxwell Fluid Over a Stretching Disk With Quadratic Temperature‐Dependent Heat Source

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This research paper provides an extensive study of the effects of Darcy–Forchheimer von‐Karman spinning flow of Maxwell fluid across a stretching disk including the effect of heat generation based on a nonlinear function of temperature. The flow system is influenced by thermal radiations and Arrhenius activation energy.
Ebrahem A. Algehyne, Mounirah Areshi, Fahad Maqbul Alamrani, Zehba Raizah, Mustafa Bayram, Jihad Younis, Anwar Saeed   +6 more
wiley   +1 more source

Neural force functional for non-equilibrium many-body colloidal systems

Machine Learning: Science and Technology
We combine power functional theory and machine learning to study non-equilibrium overdamped many-body systems of colloidal particles at the level of one-body fields.
Toni Zimmermann, Florian Sammüller, Sophie Hermann, Matthias Schmidt, Daniel de las Heras   +4 more
doaj   +1 more source

Application of Fractional Brownian Motion (fBm) and Hurst Exponent Analysis in Financial Modeling: A Biophysics-Based FFT–MCMC Method

AppliedMath
Fractional Brownian motion (fBm) provides a powerful stochastic framework for modeling long-range temporal dependence that cannot be represented by classical Brownian motion.
Mohammad Ali Yousefi, Majid Monajjemi, Seyed Javad Mirabedini, Nayereh Zaghari, Fatemeh Mollaamin   +4 more
doaj   +1 more source