Results 41 to 50 of about 9,992 (233)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Vortex of beam shift induced by mono-chiral interface states

New Journal of Physics, 2020
If an electron beam hits onto the interface of a Weyl-node-mismatch junction, a shift of the beam center on the interface happens when the beam is reflected or transmitted, where the junction consists of two materials of the same Weyl semimetal and one ...
Mou Yang, Quan-Teng Hou, Rui-Qiang Wang
doaj   +1 more source

Methodology for Risk Assessment of Part Load Resonance in Francis Turbine Power Plant [PDF]

, 2007
At low flow rate operation, Francis turbines feature a cavitating vortex rope in the draft tube resulting from the swirling flow of the runner outlet. The unsteady pressure field related to the precession of the vortex rope induces plane wave propagating
Allenbach, Philippe, Avellan, François, Greiveldinger, Bob, Herou, Jean-Jacques, Nicolet, Christophe, Simond, Jean-Jacques   +5 more
core  

Processing carbon nanotubes with holographic optical tweezers

, 2004
We report the first demonstration that carbon nanotubes can be trapped and manipulated by optical tweezers. This observation is surprising because individual nanotubes are substantially smaller than the wavelength of light, and thus should not be ...
Ashkin, Ashkin, Cheong, Curtis, Dai, Daniel M. Mueth, David G. Grier, Dufresne, Evan Tanner, Gahagan, Grier, He, Joseph Plewa, Korda, Lim, Nagahara, O’Connell, Simpson, Suehiro, Yu   +19 more
core   +1 more source

Sensor-based optimized control of the full load instability in large hydraulic turbines [PDF]

, 2018
Hydropower plants are of paramount importance for the integration of intermittent renewable energy sources in the power grid. In order to match the energy generated and consumed, Large hydraulic turbines have to work under off-design conditions, which ...
Egusquiza Estévez, Eduard, Egusquiza Montagut, Mònica, Presas Batlló, Alexandre, Valentín Ruiz, David, Valero Ferrando, Ma. del Carmen   +4 more
core   +2 more sources

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Низкочастотные пульсации давления в гидротурбинах, индуцированные вихревым жгутом [PDF]

, 1999
Выполнен анализ процесса пульсаций давления в гидротурбинах, составлена классификация отдельных компонентов. Рассмотрена физическая модель возникновения и движения вихревого жгута в отсасывающей трубе гидротурбины.
Бондаренко, Анатолий Васильевич, Гришин, Александр Мефодиевич   +1 more
core   +1 more source

The Role of Artificial Intelligence in Medication Management for Older Adults: A Systematic Review

AGING MEDICINE, EarlyView.
Artificial intelligence enhances medication management for older adults by improving adherence, personalizing treatment, and predicting risks. Despite benefits, challenges remain in usability, trust, ethics, and system integration. Successful adoption requires user‐centered design, ethical safeguards, and seamless healthcare integration to ensure safe,
Dipak Chandra Das, Moustaq Karim Khan Rony, Shovit Dutta, MD. Sami Al Zubair Zujbe, Tapan Bhattacharjee, Niloy Debnath, Shabbir Abdullah Maruf, Chowdhury Galib Mortuza, Farhana Rahman, Akash Das   +9 more
wiley   +1 more source

Research on the Flow Evolution and Runner Force Characteristics of a Pump-Turbine Under Cavitation Effects

Applied Sciences
Pump-turbines are critical for maintaining power grid stability, but they frequently suffer from flow instabilities induced by cavitation due to frequent operating condition changes.
Yanhao Li, Lei Chen, Jianwen Xu, An Yu
doaj   +1 more source

Modal analysis of vortex rope using dynamic mode decomposition

Physics of Fluids
The decelerating swirling flow in the draft tube of hydraulic turbines at part load conditions often results in a self-induced instability known as vortex rope. This phenomenon is associated with detrimental pressure pulsations in the hydropower system that need to be mitigated.
Saeed Salehi, Håkan Nilsson
openaire   +2 more sources