Results 101 to 110 of about 311,957 (305)

Between-class Learning for Image Classification

open access: yes, 2018
In this paper, we propose a novel learning method for image classification called Between-Class learning (BC learning). We generate between-class images by mixing two images belonging to different classes with a random ratio.
Harada, Tatsuya   +2 more
core   +1 more source

Shaking Table System for Geotechnical Centrifuge

open access: yes, 2007
The shaking table system for geotechnical centrifuge, which can simulate sinusoidal and real seismic waves under a centrifugal force of 50 times earth gravity, is capable of providing significant data for the seismic design of structures. The shaking table can accommodate test specimens up to 250kg under 50G condition, so it can be used to perform ...
openaire   +5 more sources

Analytical solution of seismic power-based equation of motion

open access: yesHeliyon
This research proposes an innovative power-based equation of motion (PBEM) for the single degree of freedom (SDOF) system considering seismic excitation.
Md Foisal Haque
doaj   +1 more source

Seismic evaluation of ±800 kV UHVDC disconnect switch by shake table test

open access: yesThe Journal of Engineering, 2019
Disconnect switches, the widely used electrical substation apparatuses, however, were severely damaged in several earthquakes, causing huge economic losses.
Jiayi Wen, Qiang Xie
doaj   +1 more source

Composites of Shellac and Silver Nanowires as Flexible, Biobased, and Corrosion‐Resistant Transparent Conductive Electrodes

open access: yesAdvanced Functional Materials, EarlyView.
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein   +4 more
wiley   +1 more source

Region‐to‐Region Unidirectional Connection In Vitro Brain Model for Studying Directional Propagation of Neuropathologies

open access: yesAdvanced Functional Materials, EarlyView.
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang   +9 more
wiley   +1 more source

Efficient transient dynamic analysis of a crane bridge subjected to shake table tests using non-linear substructuring

open access: yesMechanics & Industry
The dynamic behavior of bridge cranes under earthquake is an essential issue for nuclear safety, requiring experimental data and validated numerical simulations.
Li Sijia, Brun Michael, Gravouil Anthony
doaj   +1 more source

Endothelial Cells Angiogenesis in Sulfated Glycosaminoglycan (GAG) Hydrogels Enhanced by Bioactive Glass‐Released Ions

open access: yesAdvanced Functional Materials, EarlyView.
A mechanically tunable hydrogel composed of gelatin, chondroitin sulfate and laminin promotes angiogenesis in vitro without the supplement of growth factors. Endothelial cells morphogenesis was further enhanced by medium conditioned with bioactive glass 58S‐released ions (Ca and Si), thus offering a promising strategy to vascularize 3D tissue ...
Marco Piazzoni   +13 more
wiley   +1 more source

Synthetic Nanobiology Actuated Lipometabolic Cell Factory for Autologous Tumor Immunotherapy

open access: yesAdvanced Functional Materials, EarlyView.
FA plays a crucial role in the interaction between tumor cells and the tumor microenvironment, especially for the immune response. A biocatalytic immunoenhancement strategy is developed to boost antitumor immunity by FA metabolic orientation to ceramide. Through the design of this delicate catalytic immunoenhancement strategy, the synthetic nanobiology
Shoujie Zhao   +8 more
wiley   +1 more source

On the Generalization Effects of Linear Transformations in Data Augmentation

open access: yes, 2020
Data augmentation is a powerful technique to improve performance in applications such as image and text classification tasks. Yet, there is little rigorous understanding of why and how various augmentations work.
Ré, Christopher   +3 more
core  

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