Results 201 to 210 of about 119,352 (301)

Experimental and numerical study of liquid–liquid systems using the Euler–Lagrange/VOF approach

AIChE Journal, EarlyView.
Abstract Achieving stable liquid–liquid dispersions with controlled droplet size remains a challenge due to the complex interplay of dispersed phase viscosity, hydrodynamic conditions and interfacial interactions. This work presents a validated computational framework for droplet breakage and coalescence in liquid–liquid dispersions with variable ...
Pavel Krýsa, Vojtěch Koutník, Simon Kuhn, Miroslav Šoóš   +3 more
wiley   +1 more source

Cocaine- and amphetamine-regulated transcripts in two percomorphs: evolutionary conservation and energy-status dependent responses. [PDF]

Front Endocrinol (Lausanne)
Cabillon NAR, Koch L, Mizrahi N, Ben-Dor S, Segev-Hadar A, Meiri Ashkenazi I, Alupo G, Bitan A, Biran J.   +8 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Alternative set up strategies for upper tract robotic surgery with the Hugo RAS - experience from an early adopter institution. [PDF]

J Robot Surg
Keenan RA, Kelly R, Moran D, Bhatt NR, Breen KJ, McGuire BB.   +5 more
europepmc   +1 more source

Correction: Endophenotype trait domains for advancing gene discovery in autism spectrum disorder

Journal of Neurodevelopmental Disorders
Matthew W. Mosconi, Cassandra J. Stevens, Kathryn E. Unruh, Robin Shafer, Jed T. Elison   +4 more
doaj   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

The Role of Viral Pathogens in the Promotion of Epithelial-Mesenchymal Transition and Neoplastic Cell Invasion. [PDF]

Viruses
Tugizov S.
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Guideline of the German Society of Neurology (DGN): "diagnosis and therapy of HIV-1-associated neurological disorders". [PDF]

Neurol Res Pract
Hahn K, Arendt G, Eggers C, Granziera C, Maschke M.   +4 more
europepmc   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source