Results 181 to 190 of about 11,594,401 (253)

Effects of hybrid metal oxide nanoparticles on the tribological and emission attributes of algae‐derived biofuel in compression ignition engines

Environmental Progress &Sustainable Energy, EarlyView.
Abstract The growing demand for sustainable fuels has accelerated the development of algae‐derived biodiesel for compression‐ignition engines. In this study, Chlorella vulgaris methyl ester (AME) exhibited physicochemical properties comparable to diesel and satisfied ASTM D6751 fuel quality requirements, making it suitable for blending.
T. Jayakumar, A. Kumaravadivel, I. Rahamathullah, J. Arunprasad   +3 more
wiley   +1 more source

The Simplest Complexity: The Story of the Three-Body Problem. [PDF]

Entropy (Basel)
Kol B.
europepmc   +1 more source

Next‐Generation Seismic Performance Assessment Through Multi‐Component Ground Motion Compatible Intensifying Artificial Acceleration

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Despite the crucial need for fully quantitative risk assessment of large‐scale structures, their performance is typically assessed through deterministic or semi‐quantitative approaches. The main preventing factor is the computational burden of probabilistic seismic analyses.
M. Amin Hariri‐Ardebili, Giacomo Sevieri, Carlo Resta, Golsa Mahdavi, Anna De Falco, Siamak Sattar, Sissy Nikolaou   +6 more
wiley   +1 more source

Wafer-scale conformal metasurface optics. [PDF]

Nat Commun
Martin-Monier L, Chang S, Fröch JE, Li Z, Ranno L, Dao KP, Ueno A, Sia JXB, Zheng H, Burns P, Gu T, Song YM, Majumdar A, Hu J.   +13 more
europepmc   +1 more source

Machine Learning Modeling of Drill Cuttings Transport Based on Computational Fluid Dynamics Simulation Data

Energy Science &Engineering, EarlyView.
Machine learning surrogates accurately predict drill cuttings transport from computational fluid dynamics data, with Reynolds number dominating system behavior. While tree‐based models excel in accuracy, Gaussian process regression provides physically consistent, smooth predictions essential for reliable drilling simulations.
Kathrin Skinder, Mostafa M. Abdelhafiz, Khizar Shahid, Gunther Brenner   +3 more
wiley   +1 more source

Cross‐protective effect of a multicomponent fusion protein vaccine during a natural episode of Streptococcus zooepidemicus respiratory disease in ponies

Equine Veterinary Journal, EarlyView.
Abstract Background Streptococcus equi subspecies zooepidemicus is a highly diverse opportunistic pathogen of horses, associated with respiratory disease and endometritis. Objectives To characterise S. zooepidemicus isolates recovered from young ponies during a natural episode of respiratory disease, and to determine if vaccination with Strangvac®, a ...
Romain Paillot, J. Richard Newton, Sonia Gonzalez Medina, Sara Frosth, Lars Frykberg, Margareta Flock, Bengt Guss, Jan‐Ingmar Flock, Andrew S. Waller   +8 more
wiley   +1 more source

Energy-Efficient Hierarchical Federated Learning in UAV Networks with Partial AI Model Upload Under Non-Convex Loss. [PDF]

Sensors (Basel)
Li H, Wang S, Du Y, Li R, Fan X, Luo C.
europepmc   +1 more source

Validation of a novel instrumented hoof boot with pressure sensors using force plate gait kinetics in horses at walk and trot

Equine Veterinary Journal, EarlyView.
Abstract Background Force plates (FP) are considered the gold standard for quantitative equine gait evaluation but are limited to experimental use. An instrumented hoof boot (IHB) with pressure sensors and an inertial measurement unit would allow clinicians to objectively assess kinetic parameters and gait symmetry.
Jasmin Keller, Max J. Hassenstein, Klaus Jung, Florian Geburek   +3 more
wiley   +1 more source

Tree Height Prediction Using a Double Hidden-Layer Neural Network and a Mixed-Effects Model. [PDF]

Plants (Basel)
Shen J, Lei X, Li Y, Pan Y, Wang G.
europepmc   +1 more source

Effect of Microchannel Geometry on Nanoparticle Deposition in Nanofluid Flow

International Journal for Numerical Methods in Fluids, EarlyView.
This study numerically analyzed nanoparticle deposition in microchannels with varying geometries. Deposition per unit area decreases significantly with increasing bend angle (28.612 to 8.941 between 30° and 120°) and bend radius (11.922 to 4.769 between 0.2 and 0.4 mm). Acute bends and small radii enhance centrifugal forces and flow separation, leading
Meng Wang, Kai Zhang, Juanli Zhang, Jay Wang   +3 more
wiley   +1 more source