Results 111 to 120 of about 11,586,854 (252)

Assessment of the pesticide active substance carvone (d‐/l‐carvone at a ratio of at least 100:1) for inclusion in Annex IV of Regulation (EC) No 396/2005

EFSA Journal, 2016
According to Article 12 of Regulation (EC) No 396/2005, the European Food Safety Authority (EFSA) was required to review the maximum residue levels (MRLs) currently established at European level for the pesticide active substance carvone (d‐/l‐carvone at
European Food Safety Authority (EFSA)
doaj   +1 more source

Quantifying multi‐institutional ADC measurement variability of 1.5 T MR‐Linacs: A phantom and in vivo study

Medical Physics, EarlyView.
Abstract Background Diffusion‐weighted imaging (DWI), a quantitative magnetic resonance imaging (qMRI) technique, has the potential to aid in disease characterization and treatment response monitoring. MR‐Linacs (MRLs) enable simultaneous DWI acquisitions during radiotherapy, uniquely aiding in the collection of large‐scale datasets for imaging ...
Madeline E. Carr, Kathryn E. Keenan, Michaela Beavan, Hilary Byrne, Satomi Higuchi, Amy Walker, Sarah Elliott, John Baines, Vikneswary Batumalai, Peter Metcalfe, Lois Holloway, Michael G. Jameson   +11 more
wiley   +1 more source

Modification of the existing maximum residue level for pyrimethanil in leek

EFSA Journal, 2016
In accordance with Article 6 of Regulation (EC) No 396/2005, the evaluating Member State (EMS), France, received an application from BASF to modify the existing maximum residue level (MRL) for the active substance pyrimethanil in leek. To accommodate for
European Food Safety Authority (EFSA)
doaj   +1 more source

Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning [PDF]

Presented at Adaptive Learning Agents workshop (ALA2018), July 14th, 2018, Stockholm, Sweden, 2017
We propose a fully distributed actor-critic algorithm approximated by deep neural networks, named \textit{Diff-DAC}, with application to single-task and to average multitask reinforcement learning (MRL). Each agent has access to data from its local task only, but it aims to learn a policy that performs well on average for the whole set of tasks. During
arxiv  

Uniform State Abstraction For Reinforcement Learning [PDF]

arXiv, 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  

Designing Advanced Electrolytes for High‐Voltage High‐Capacity Disordered Rocksalt Cathodes

Small, EarlyView.
Lithium batteries with high energy density are critical for advancing electric transportation and grid storage. By integrating simulations and experiments, advanced electrolytes with controlled solvation structures are developed. These electrolytes form ultrathin, stable, and robust protective interphases on high‐voltage, high‐capacity disordered ...
Ridwan A. Ahmed, Rohith Srinivaas Mohanakrishnan, Jingyang Wang, Krishna P. Koirala, Qian Zhao, Yanbao Fu, Ying Chen, Justin C. Rastinejad, Tianyu Li, Lirong Zhong, Mateusz Zuba, Carrie Siu, Ozgenur Kahvecioglu, Raphaële J. Clément, Bryan D. McCloskey, Vincent S. Battaglia, Kristin Persson, Chongmin Wang, Wu Xu   +18 more
wiley   +1 more source

Mutual Reinforcement Learning [PDF]

arXiv, 2019
Recently, collaborative robots have begun to train humans to achieve complex tasks, and the mutual information exchange between them can lead to successful robot-human collaborations. In this paper we demonstrate the application and effectiveness of a new approach called mutual reinforcement learning (MRL), where both humans and autonomous agents act ...
arxiv  

Targeting Nanotherapeutics for Highly Efficient Diagnosis and Treatment of Systemic Lupus Erythematosus through Regulation of Immune Response

Small Science, EarlyView.
Systemic lupus erythematosus (SLE) is characterized by the production of pathogenic autoantibodies, particularly antidouble‐stranded (ds) DNA antibodies, which contribute to multiorgan damage (lupus nephritis, LN). Herein, mesoporous silica loaded with SeC and surface‐modified ctDNA are constructed to target binding anti‐dsDNA antibodies, effectively ...
Ting Liu, Zhiming Lin, Xi Zhang, Yu Yang, Guanning Huang, Yanzi Yu, Bin Xie, Lizhen He, Tianfeng Chen   +8 more
wiley   +1 more source

Effectiveness of novel hybrid mangrove living shorelines is context dependent

Journal of Applied Ecology, EarlyView.
Our study highlights that the effectiveness of hybrid planting techniques is highly context dependent. The loss or absence of mangroves and other vegetative species may result in processes that challenge mangrove survival, in which the planting pods may not be able to overcome.
Amanda R. Hsiung, Benedikt Fest, Taylor Rubinstein, Stephen E. Swearer, Rebecca L. Morris   +4 more
wiley   +1 more source

Optimization of magnetic contrast layer for neutron reflectometry [PDF]

arXiv
Neutron reflectivity is a powerful technique for probing density profiles in films, with applications across Physics, Chemistry, and Biology. However, challenges arise when dealing with samples characterized by high roughness, unknown scattering length density (SLD) with low contrast, very thin layers, or complex multi-layered structures, that cannot ...
arxiv