Results 141 to 150 of about 299 (260)

Anti‐Obesity Pharmacotherapy and Emerging Multimodal Interventions for Obstructive Sleep Apnea

Chronic Diseases and Translational Medicine, EarlyView.
Cellular and molecular mechanisms of obesity‐related obstructive sleep apnea (OSA). ADMA: asymmetric dimethyrarginine, NLRP3: nucleotide‐binding domain, leucine‐rich repeat family, Pyrin domain containing 3, TLR: toll‐like receptors, IL‐1β: interleukin‐1β, IL‐6: interleukin‐6; LPS: lipopolysacharide, ROS: reactive oxygen species, TNF‐α.
Anish Preshy, Cornelius J. Fernandez, Mohammad Hamid Nedai, Joseph M. Pappachan   +3 more
wiley   +1 more source

A promising approach to steady-state fusion: High-temperature superconducting strong-field stellarator with precise omnigenity. [PDF]

Innovation (Camb)
Xu G, Lu Z, Chen D, Wan B.
europepmc   +1 more source

Magnetic control of tokamak plasmas through deep reinforcement learning. [PDF]

Nature, 2022
Degrave J, Felici F, Buchli J, Neunert M, Tracey B, Carpanese F, Ewalds T, Hafner R, Abdolmaleki A, de Las Casas D, Donner C, Fritz L, Galperti C, Huber A, Keeling J, Tsimpoukelli M, Kay J, Merle A, Moret JM, Noury S, Pesamosca F, Pfau D, Sauter O, Sommariva C, Coda S, Duval B, Fasoli A, Kohli P, Kavukcuoglu K, Hassabis D, Riedmiller M.   +30 more
europepmc   +1 more source

Digital documentation of railway tunnel inspection in Austria

Civil Engineering Design, Volume 7, Issue 1, Page 3-8, March 2025.
Abstract Infrastructure, especially railway tunnels, require continuous inspection to ensure their safety. Furthermore, the detection of damages at an early stage can improve their service life. These tasks represent a major challenge for those involved and the tunnel down time is a disruption in operation.
Matthias J. Rebhan, Stefan S. Grubinger, Andreas Schüppel, Simona Deutinger, Gernot Schwarzenberger   +4 more
wiley   +1 more source

ST40 electromagnetic predictive studies supported by machine learning applied to experimental database. [PDF]

Sci Rep
Scarpari M, Minucci S, Sias G, Lombroni R, Buxton PF, Romanelli M, Calabrò G.   +6 more
europepmc   +1 more source

Copper‐ and Silver‐Catalyzed Reactions of Active Methylene Isocyanides: Facile Access to Highly Substituted Five‐ and Six‐Membered Heterocycles

Chemistry – A European Journal, EarlyView.
This review summarizes recent advances in copper‐ and silver‐catalyzed reactions of active methylene isocyanides for the synthesis of highly substituted five‐ and six‐membered heterocycles. Emphasis is placed on [3+n] cycloadditions, annulations, and asymmetric strategies, highlighting current limitations and future opportunities in heterocycle ...
Jimil George, Kyungsoo Oh
wiley   +1 more source

Optimization of a reactor for biostimulant production with emphasis on the economic aspects of hydrolysis

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Biostimulants are increasingly used in agriculture to promote plant growth, improve stress tolerance, and support sustainable farming practices. One common method of production is chemical hydrolysis of protein‐rich waste, such as tannery by‐products, offering an economical and eco‐friendly alternative to conventional raw materials.
Karel Kolomazník, Lubomír Šánek, Petr Dostálek, Clara Desroches   +3 more
wiley   +1 more source

Tungsten Molecular Species in Deuterium Plasmas in Contact with Sputtered W Surfaces. [PDF]

Molecules
Dinescu G, Craciun C, Stoica SD, Constantin C, Mitu BM, Acsente T.   +5 more
europepmc   +1 more source

The European roadmap towards fusion electricity. [PDF]

Philos Trans A Math Phys Eng Sci, 2019
Donné AJH.
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source