Results 11 to 20 of about 3,753,442 (268)
Public Choice, 2023 AbstractNovel externalities are social activities for which the emerging cost (or benefit) of the spillover is unknown and must be discovered. Negative novel externalities have regained international salience following the COVID-19 pandemic. Such cases frequently are invoked as evidence of the limits of liberal political economy for dealing with public
Nick Cowen, Eric Schliesser
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Novel drugs--novel branding [PDF]
QJM, 2011 There has been increasing use of a number of different novel psychoactive substances (often referred to as ‘legal highs’) over the last few years. The drug that has received the most publicity is mephedrone.1 However, there were 41 new substances detected in Europe in 2010.2 These novel psychoactive substances are often purchased from Internet-based ...
Wood, D. M. +4 more
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Elastic temporal alignment for few‐shot action recognition
IET Computer Vision, 2023 Few‐shot action recognition aims to learn a classification model with good generalisation ability when trained with only a few labelled videos. However, it is difficult to learn discriminative feature representations for videos in such a setting.
Fei Pan +4 more
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Use Of Natural Gas Become a Petrochemical with Zeolite Catalyst [PDF]
E3S Web of Conferences, 2021 Methane is a hydrocarbon compound that can be used for various purposes. Currently, methane is widely used as fuel, and continues to be developed as a synthetic gas material and petrochemical products that have added value, one of which is formaldehyde ...
Susilowati S., Karaman Novel
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Raman Spectra and Bulk Modulus of Nanodiamond in a Size Interval of 2–5 nm
Nanoscale Research Letters, 2017 Nanodiamond in a 2–5-nm size interval (which is typical for an appearance of quantum confinement effect) show Raman spectra composed of 3 bands at 1325, 1600, and 1500 cm−1 (at the 458-nm laser excitation) which shifts to 1630 cm−1 at the 257-nm laser ...
Mikhail Popov +8 more
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Risk Minimization Against Transmission Failures of Federated Learning in Mobile Edge Networks
IEEE Access, 2020 A variety of modern AI products essentially require raw user data for training diverse machine learning models. With the increasing concern on data privacy, federated learning, a decentralized learning framework, enables privacy-preserving training of ...
Yuting Yan +5 more
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Birth Defects Research, 2022 AbstractBackgroundDeficiency of Conserved Oligomeric Golgi (COG) subunits (COG1–8) is characterized by both N‐ and O‐protein glycosylation defects associated with destabilization and mislocalization of Golgi glycosylation machinery components (COG‐CDG).
Cirnigliaro, Lara +10 more
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AIP Advances, 2021 This paper demonstrates the improvement of device linearity in AlGaN/GaN heterostructure field effect transistors (HFETs) using polarization Coulomb field (PCF) scattering and investigates the relationship between device linearity and PCF scattering ...
Yongxiong Yang +5 more
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Safe reinforcement learning for dynamical systems using barrier certificates
Connection Science, 2022 Safety control is a fundamental problem in policy design. Basic reinforcement learning is effective at learning policy with goal-reaching property. However, it does not guarantee safety property of the learned policy.
Qingye Zhao, Yi Zhang, Xuandong Li
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Low levels of classical BSE infectivity in rendered fat tissue
Veterinary Research, 2018 BSE infectivity in mesentery fat is most likely associated with embedded nervous tissue. To prove this mesentery containing celiac ganglion was taken from oral BSE infected cattle in different stages of the disease and from one control animal.
Christine Fast +4 more
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