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| http://dx.doi.org/10.5999/aps.2018.00178 | DOI Listing |
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Global niche partitioning of purine and pyrimidine cross-feeding among ocean microbes.
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Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Cross-feeding involves microbes consuming exudates of other surrounding microbes, mediating elemental cycling. Characterizing the diversity of cross-feeding pathways in ocean microbes illuminates evolutionary forces driving self-organization of ocean ecosystems. Here, we uncover a purine and pyrimidine cross-feeding network in globally abundant groups.
View Article and Find Full Text PDFImpact of Synchronized Radiofrequency and High-Intensity Facial Electrical Stimulation on Facial Muscles and the Superficial Fascial System in the Midface.
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Department of Dermatology, Erasmus Universiteit Rotterdam, Rotterdam, Netherlands.
Background: Midfacial aging involves skeletal changes, muscle weakening, and fat redistribution, resulting in volume loss, skin sagging, and deepened nasolabial folds. High-Intensity Facial Electrical Stimulation (HIFES) combined with Radiofrequency (RF) is a novel non-invasive method to address these changes by enhancing muscle mass and remodeling subcutaneous tissue.
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'Synchronicity of science, passion and art in orthopedic oncology'.
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Department of Orthopedic Oncology and Reconstructive Medicine, Nara Medical University, 840 Shijo-cho, Kashihara, Nara 634-8522, Japan. Electronic address:
Global network control from local information.
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Department of Physics and Astronomy, Northwestern University, Evanston, Illinois 60208, USA.
In the classical control of network systems, the control actions on a node are determined as a function of the states of all nodes in the network. Motivated by applications where the global state cannot be reconstructed in real time due to limitations in the collection, communication, and processing of data, here we introduce a control approach in which the control actions can be computed as a function of the states of the nodes within a limited state information neighborhood. The trade-off between the control performance and the size of this neighborhood is primarily determined by the condition number of the controllability Gramian.
View Article and Find Full Text PDFCollective behavior of an adapting synapse-based neuronal network with memristive effect and randomness.
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Center for Research, SRM Institute of Science and Technology, Ramapuram, Chennai, 600089 India.
This study delves into the examination of a network of adaptive synapse neurons characterized by a small-world network topology connected through electromagnetic flux and infused with randomness. First, this research extensively explores the existence of the global multi-stability of a single adaptive synapse-based neuron model with magnetic flux. The non-autonomous neuron model exhibits periodically switchable equilibrium states that are strongly related to the transitions between stable and unstable points in every whole periodic cycle, leading to the creation of global multi-stability.
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