Results 101 to 110 of about 8,866,660 (204)

Looking to the Future: Prospective Life Cycle Assessment of Emerging Technologies

open access: yesChemistry – A European Journal, EarlyView.
This review explores prospective life cycle assessment (pLCA), an emerging methodology for evaluating the environmental impacts of technologies still in development. Key aspects are identified, including assessing technology maturity levels, upscaling methods, and generating future scenarios.
Alessandro Marson   +2 more
wiley   +1 more source

Annual Banned‐Substance Review 17th Edition—Analytical Approaches in Human Sports Drug Testing 2023/2024

open access: yesDrug Testing and Analysis, EarlyView.
Scenarios of drug exposure and administration as well as detection assays for drugs and methods of sports doping published between 2023 and 2024 are critically reviewed and evaluated in context with the Prohibited List 2024 as established by the World Anti‐Doping Agency.
Mario  Thevis   +2 more
wiley   +1 more source

Targeted review of maximum residue levels (MRLs) for profenofos

open access: yesEFSA Journal, 2023
In accordance with Article 43 of Regulation (EC) 396/2005, EFSA received a request from the European Commission to review the existing maximum residue levels (MRLs) for the non‐approved active substance profenofos in view of the possible lowering of the ...
European Food Safety Authority (EFSA)   +32 more
doaj   +1 more source

Matryoshka Representation Learning [PDF]

open access: yesarXiv, 2022
Learned representations are a central component in modern ML systems, serving a multitude of downstream tasks. When training such representations, it is often the case that computational and statistical constraints for each downstream task are unknown.
arxiv  

Modification of the existing maximum residue levels for copper compounds in fresh herbs and edible flowers

open access: yesEFSA Journal, 2020
In accordance with Article 6 of Regulation (EC) No 396/2005, the applicant LLG Sachsen‐Anhalt, Dez. Pflanzenschutz submitted a request to the competent national authority in Germany to modify the existing maximum residue levels (MRLs) for copper ...
EFSA (European Food Safety Authority)   +20 more
doaj   +1 more source

An MRL-Based Design Solution for RIS-Assisted MU-MIMO Wireless System under Time-Varying Channels [PDF]

open access: yesarXiv, 2023
Utilizing Deep Reinforcement Learning (DRL) for Reconfigurable Intelligent Surface (RIS) assisted wireless communication has been extensively researched. However, existing DRL methods either act as a simple optimizer or only solve problems with concurrent Channel State Information (CSI) represented in the training data set.
arxiv  

Recommendations for built marine infrastructure that supports natural habitats

open access: yesFrontiers in Ecology and the Environment, EarlyView.
The extent of built marine infrastructure—from energy infrastructure and ports to artificial reefs and aquaculture—is increasing globally. The rise in built structure coverage is concurrent with losses and degradation of many natural habitats. Although historically associated with net negative impacts on natural systems, built infrastructure—with ...
Avery B Paxton   +17 more
wiley   +1 more source

Review of the existing maximum residue levels for tau‐fluvalinate according to Article 12 of Regulation (EC) No 396/2005

open access: yesEFSA Journal, 2018
According to Article 12 of Regulation (EC) No 396/2005, EFSA has reviewed the maximum residue levels (MRLs) currently established at European level for the pesticide active substance tau‐fluvalinate.
European Food Safety Authority (EFSA)   +25 more
doaj   +1 more source

MRL order, log-concavity and an application to peacocks [PDF]

open access: yesStochastic Processes and their Applications, 2015, vol. 125, issue 4, pages 1282-1306, 2015
We provide an equivalent log-concavity condition to the mean residual life (MRL) ordering for real-valued processes. This result, combined with classical properties of total positivity of order 2, allows to exhibit new families of integrable processes which increase in the MRL order (MRL processes).
arxiv  

Uniform State Abstraction For Reinforcement Learning [PDF]

open access: yesarXiv, 2020
Potential Based Reward Shaping combined with a potential function based on appropriately defined abstract knowledge has been shown to significantly improve learning speed in Reinforcement Learning. MultiGrid Reinforcement Learning (MRL) has further shown that such abstract knowledge in the form of a potential function can be learned almost solely from ...
arxiv  

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