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Communicating and understanding climate induced environmental changes can be challenging, especially using traditional representations such as graphs, maps or photos. Immersive visualizations and expe...
Background and Aims Improved modelling of carbon assimilation and plant growth to low soil moisture requires evaluation of underlying mechanisms in the soil, roots, and shoots. The feedback between pl...
Maintaining the activity and function of the shallow root system of plants is essential for withstanding drought stress, but the associated mechanism is poorly understood. By investigating sap flow in...
Plants live in fixed locations and have evolved adaptation mechanisms that integrate multiple responses to various environmental signals. Among the different components of these response pathways, rec...
Direct pyrolysis of polymer nanospheres usually leads to severe particle aggregation, uncontrolled surface morphology, and poor solvent dispersibility of the carbonaceous analogues. The successful man...
A branching random walk is a system of particles, where each particle gives birth to new particles of the next generation, which move on $\mathbb R^d$ according to some probability law. In this talk, ...
We study multi-period inventory control systems in which managers face seasonal demands with unknown distributions and make inventory decisions based on past demand data. It can be shown that a data-d...
Extremum seeking control(ESC)is a class of data-driven optimization algorithms which can drive the output of an unknown dynamic system to its optimal value with respect to some cost function by using ...
Tourism managers and practitioners rely on accurate demand forecasting and well-informed management guidance. Given the pandemic's consequences on tourism, future analysis in the during-epidemic era i...
We consider a joint production-service planning problem with demand uncertainty, where the manufacturer aims to determine the portfolio of products with the associated service levels and the capacity ...
This talk focuses on the even-triggered cooperative control problem of heterogeneous multi-agent systems (MASs) using data-based reinforcement learning (RL) algorithm. To lower the communication and c...
On 13 July, CELESTA will be launched into space: this microsatellite is the first space mission driven by CERN, in collaboration with the University of Montpellier and the European Space Agency (ESA).
In an oceanic omen for climate change’s intensifying effects, Cornell-led research shows that seagrass – through large swaths of intertidal meadows in the Pacific Northwest – suffers from a lesion-fil...
Dzyaloshinskii-Moriya(DM)相互作用,是一种反对称自旋交换作用,于上个世纪六十年代由I. Dzyaloshinskii利用唯象理论提出,并由T. Moriya在超交换相互作用中考虑自旋轨道耦合而发展的微观理论,被用来解释磁性体系中诸多新奇物理现象(自旋玻璃中的各向异性场、多铁性材料中的磁电耦合、自旋波的非对称色散关系、非共线磁结构等)。近十几年来,由于DM相互作用而实现的螺旋...
New research about the fate of krill -- one of the most abundant species on Earth -- during this century has important implications for not only the Antarctic food web, but for the largest commercial ...

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