High-yield resveratrol production 1 in Engineered Escherichia coli 2 3 Chin Giaw Lim a , Zachary L. Fowler a , Thomas Hueller b , 4 Steffen Schaffer b and Mattheos A.G. Koffas a† 5 6 a Department of Chemical and Biological Engineering 7 University at Buffalo, the State University of New York 8 Buffalo, NY 14260 9 10 b Evonik Degussa GmbH 11 Creavis Technologies & Innovation 12 Paul-Baumann-Stra...

THE SANDU FORMATION, consisting mainly of mudstone and marl, crops out sparsely in Guole Township, Jingxi County, southwestern Guangxi Province, China (Fig. 1). It yields a rich fauna of trilobite fossils, including species belonging to Shergoldia, Tamdaspis and Sinosaukia, which together indicate a late Furongian (latest Cambrian) age. These fossils are both abundant and well preserved. A larg...

Human aspects in collaboration of humans and robots, as common warehousing, are considered increasingly important objectives operations management. This work aims to let robots learn about human discomfort collaborative order picking robotic mobile fulfillment systems. To this end, a multi-agent reinforcement (MARL) approach that considers next traditional performance the reward function agents...

Results of laboratory tests on specimens produced from subsoil studies were evaluated tocharacterize geotechnical properties of Tabriz Marl. It was concluded that, Tabriz Marl may be considered as a high liquid limit silt or clay (MH & CH). Range of changes of index, physical and mechanical properties of the Tabriz Marl are comparatively vast. Correlation between these properties has been intro...

In the real world, people/entities usually find matches independently and autonomously, such as finding jobs, partners, roommates, etc. It is possible that this search for starts with no initial knowledge of environment. We propose use a multi-agent reinforcement learning (MARL) paradigm spatially formulated decentralized two-sided matching market independent autonomous agents. Having agents ac...

The effects of geological conditionwere assessed on density of Soil Organic Carbon (SOC) and Nitrogen (N)in a sequence of hillslope landscape, derived from different lithology i.e. loess deposit, reworked loess, marl with mixed siltstone and shale, reddish brown clay deposits and older loess in the semiarid area of northern Iran. However, other factors can influence SOC and N density such as la...

Recent advances in Multi-agent Reinforcement Learning (MARL) have made it possible to implement various tasks cooperative as well competitive scenarios through trial and error, deep neural networks. These successes motivate us bring the mechanism of MARL into Resilient Consensus (MARC) problem that studies consensus a network agents with faulty ones. Relying on natural characteristics system go...