Results 201 to 210 of about 398,051 (262)
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Annual Review of Plant Biology, 2007
Leaf senescence constitutes the final stage of leaf development and is critical for plants’ fitness as nutrient relocation from leaves to reproducing seeds is achieved through this process. Leaf senescence involves a coordinated action at the cellular, tissue, organ, and organism levels under the control of a highly regulated genetic program.
Lim, PO, Kim, HJ, Nam, HG
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Leaf senescence constitutes the final stage of leaf development and is critical for plants’ fitness as nutrient relocation from leaves to reproducing seeds is achieved through this process. Leaf senescence involves a coordinated action at the cellular, tissue, organ, and organism levels under the control of a highly regulated genetic program.
Lim, PO, Kim, HJ, Nam, HG
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Annual Review of Plant Biology, 2006
Leaves are extraordinarily variable in form, longevity, venation architecture, and capacity for photosynthetic gas exchange. Much of this diversity is linked with water transport capacity. The pathways through the leaf constitute a substantial (≥30%) part of the resistance to water flow through plants, and thus influence rates of transpiration and ...
Lawren, Sack, N Michele, Holbrook
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Leaves are extraordinarily variable in form, longevity, venation architecture, and capacity for photosynthetic gas exchange. Much of this diversity is linked with water transport capacity. The pathways through the leaf constitute a substantial (≥30%) part of the resistance to water flow through plants, and thus influence rates of transpiration and ...
Lawren, Sack, N Michele, Holbrook
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Leaf mines: their effect on leaf longevity
Oecologia, 1984The effects of a number of factors, notably leaf mining insects, on the longevity of beech and holm oak leaves have been studied. The regular monitoring of individually labelled leaves was complemented by analysis of leaf fall data. Both methods confirm that these mining insects have only a slight impact on their host trees.
I M, Pritchard, R, James
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Continuous leaf optimization for IMRT leaf sequencing
Medical Physics, 2016PurposeConventional step‐and‐shoot intensity modulated radiation therapy leaf sequencing methods, where a nonhomogeneous fluence map is converted to a set of apertures and associated intensities, assume that target fluence is stratified into a fixed number of discrete levels and/or aperture leaf positions are restricted to a discrete set of locations ...
Troy, Long +3 more
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Proceedings of the first international joint conference on Autonomous agents and multiagent systems part 3 - AAMAS '02, 2002
This paper introduces LEAF, a FIPA compliant software toolkit for developing learning based multiagent systems. The FIPA-OS agent development toolkit is extended to include support for learning agents using techniques such as reinforcement learning, Q-learning and neural networks.
Steven Lynden, Omer F. Rana
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This paper introduces LEAF, a FIPA compliant software toolkit for developing learning based multiagent systems. The FIPA-OS agent development toolkit is extended to include support for learning agents using techniques such as reinforcement learning, Q-learning and neural networks.
Steven Lynden, Omer F. Rana
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Leaf‐Critical and Leaf‐Stable Graphs
Journal of Graph Theory, 2016AbstractThe minimum leaf number ml(G) of a connected graph G is defined as the minimum number of leaves of the spanning trees of G if G is not hamiltonian and 1 if G is hamiltonian. We study nonhamiltonian graphs with the property for each or for each . These graphs will be called ‐leaf‐critical and l‐leaf‐stable, respectively.
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Proceedings of the 25th ACM international conference on Multimedia, 2017
To improve the discrimination of attribute representation, in this paper, we propose to extend the traditional attribute representations via embedding the latent high-order structure between attributes. Specifically, our aim is to construct the Latent Extended Attribute Features (LEAF) for visual classification.
Hua Zhang +3 more
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To improve the discrimination of attribute representation, in this paper, we propose to extend the traditional attribute representations via embedding the latent high-order structure between attributes. Specifically, our aim is to construct the Latent Extended Attribute Features (LEAF) for visual classification.
Hua Zhang +3 more
openaire +2 more sources