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  • AERODYNAMICS
  • Elasticity
  • Inorganic Chemistry
  • Life and Medical Sciences
  • Polymer and Materials Science
  • 2015-2019  (9)
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  • 1
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2017-02-10
    Description: Author: Jake Yeston
    Keywords: Inorganic Chemistry
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2017-01-27
    Description: Author: Jake Yeston
    Keywords: Inorganic Chemistry
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2017-01-27
    Description: Polynitrogens have the potential for ultrahigh-performing explosives or propellants because singly or doubly bonded polynitrogens can decompose to triply bonded dinitrogen (N2) with an extraordinarily large energy release. The large energy content and relatively low activation energy toward decomposition makes the synthesis of a stable polynitrogen allotrope an extraordinary challenge. Many elements exist in different forms (allotropes)—for example, carbon can exist as graphite, diamond, buckyballs, or graphene. However, no stable neutral allotropes are known for nitrogen, and only two stable homonuclear polynitrogen ions had been isolated until now—namely, the N3− anion (1) and the N5+ cation (2). On page 374 of this issue, Zhang et al. (3) report the synthesis and characterization of the first stable salt of the cyclo-N5− anion, only the third stable homonuclear polynitrogen ion ever isolated. Author: Karl O. Christe
    Keywords: Inorganic Chemistry
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2016-04-23
    Description: The microtubule (MT) cytoskeleton can transmit mechanical signals and resist compression in contracting cardiomyocytes. How MTs perform these roles remains unclear because of difficulties in observing MTs during the rapid contractile cycle. Here, we used high spatial and temporal resolution imaging to characterize MT behavior in beating mouse myocytes. MTs deformed under contractile load into sinusoidal buckles, a behavior dependent on posttranslational "detyrosination" of alpha-tubulin. Detyrosinated MTs associated with desmin at force-generating sarcomeres. When detyrosination was reduced, MTs uncoupled from sarcomeres and buckled less during contraction, which allowed sarcomeres to shorten and stretch with less resistance. Conversely, increased detyrosination promoted MT buckling, stiffened the myocyte, and correlated with impaired function in cardiomyopathy. Thus, detyrosinated MTs represent tunable, compression-resistant elements that may impair cardiac function in disease.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Robison, Patrick -- Caporizzo, Matthew A -- Ahmadzadeh, Hossein -- Bogush, Alexey I -- Chen, Christina Yingxian -- Margulies, Kenneth B -- Shenoy, Vivek B -- Prosser, Benjamin L -- HL089847/HL/NHLBI NIH HHS/ -- HL105993/HL/NHLBI NIH HHS/ -- R00-HL114879/HL/NHLBI NIH HHS/ -- R01EB017753/EB/NIBIB NIH HHS/ -- T32AR053461-09/AR/NIAMS NIH HHS/ -- T32HL007954/HL/NHLBI NIH HHS/ -- New York, N.Y. -- Science. 2016 Apr 22;352(6284):aaf0659. doi: 10.1126/science.aaf0659.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physiology, Pennsylvania Muscle Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA. ; Department of Materials Science and Engineering, University of Pennsylvania School of Engineering and Applied Science, Philadelphia, PA 19104, USA. ; Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA. ; Department of Physiology, Pennsylvania Muscle Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA. bpros@mail.med.upenn.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27102488" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Desmin/metabolism ; Elasticity ; Heart Failure/metabolism/physiopathology ; Humans ; Male ; Mice ; Microtubules/*metabolism ; Models, Biological ; *Myocardial Contraction ; Myocytes, Cardiac/metabolism/*physiology ; Peptide Synthases/genetics/metabolism ; *Protein Processing, Post-Translational ; RNA, Small Interfering/genetics ; Rats ; Rats, Sprague-Dawley ; Sarcomeres/metabolism ; Tubulin/*metabolism ; Tyrosine/*metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-09-09
    Description: Author: Jake Yeston
    Keywords: Inorganic Chemistry
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-11-11
    Description: Author: Jake Yeston
    Keywords: Inorganic Chemistry
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2022-05-25
    Description: © The Author(s), 2014. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Journal of Ecology 103 (2015): 202–218, doi:10.1111/1365-2745.12334.
    Description: Schedules of survival, growth and reproduction are key life-history traits. Data on how these traits vary among species and populations are fundamental to our understanding of the ecological conditions that have shaped plant evolution. Because these demographic schedules determine population growth or decline, such data help us understand how different biomes shape plant ecology, how plant populations and communities respond to global change and how to develop successful management tools for endangered or invasive species. Matrix population models summarize the life cycle components of survival, growth and reproduction, while explicitly acknowledging heterogeneity among classes of individuals in the population. Matrix models have comparable structures, and their emergent measures of population dynamics, such as population growth rate or mean life expectancy, have direct biological interpretations, facilitating comparisons among populations and species. Thousands of plant matrix population models have been parameterized from empirical data, but they are largely dispersed through peer-reviewed and grey literature, and thus remain inaccessible for synthetic analysis. Here, we introduce the compadre Plant Matrix Database version 3.0, an open-source online repository containing 468 studies from 598 species world-wide (672 species hits, when accounting for species studied in more than one source), with a total of 5621 matrices. compadre also contains relevant ancillary information (e.g. ecoregion, growth form, taxonomy, phylogeny) that facilitates interpretation of the numerous demographic metrics that can be derived from the matrices. Large collections of data allow broad questions to be addressed at the global scale, for example, in genetics (genbank), functional plant ecology (try, bien, d3) and grassland community ecology (nutnet). Here, we present compadre, a similarly data-rich and ecologically relevant resource for plant demography. Open access to this information, its frequent updates and its integration with other online resources will allow researchers to address timely and important ecological and evolutionary questions.
    Keywords: Big data ; Comparative approach ; Elasticity ; Matrix population model ; Open access ; Plant population and community dynamics ; Population growth rate ; Sensitivity ; Transient dynamics
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
    Format: application/msword
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  • 8
    Publication Date: 2015-01-13
    Description: The mechanical mismatch between soft neural tissues and stiff neural implants hinders the long-term performance of implantable neuroprostheses. Here, we designed and fabricated soft neural implants with the shape and elasticity of dura mater, the protective membrane of the brain and spinal cord. The electronic dura mater, which we call e-dura, embeds interconnects, electrodes, and chemotrodes that sustain millions of mechanical stretch cycles, electrical stimulation pulses, and chemical injections. These integrated modalities enable multiple neuroprosthetic applications. The soft implants extracted cortical states in freely behaving animals for brain-machine interface and delivered electrochemical spinal neuromodulation that restored locomotion after paralyzing spinal cord injury.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Minev, Ivan R -- Musienko, Pavel -- Hirsch, Arthur -- Barraud, Quentin -- Wenger, Nikolaus -- Moraud, Eduardo Martin -- Gandar, Jerome -- Capogrosso, Marco -- Milekovic, Tomislav -- Asboth, Leonie -- Torres, Rafael Fajardo -- Vachicouras, Nicolas -- Liu, Qihan -- Pavlova, Natalia -- Duis, Simone -- Larmagnac, Alexandre -- Voros, Janos -- Micera, Silvestro -- Suo, Zhigang -- Courtine, Gregoire -- Lacour, Stephanie P -- New York, N.Y. -- Science. 2015 Jan 9;347(6218):159-63. doi: 10.1126/science.1260318.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Bertarelli Foundation Chair in Neuroprosthetic Technology, Laboratory for Soft Bioelectronic Interfaces, Centre for Neuroprosthetics, Institute of Microengineering and Institute of Bioengineering, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland. ; International Paraplegic Foundation Chair in Spinal Cord Repair, Centre for Neuroprosthetics and Brain Mind Institute, EPFL, Switzerland. Pavlov Institute of Physiology, St. Petersburg, Russia. ; International Paraplegic Foundation Chair in Spinal Cord Repair, Centre for Neuroprosthetics and Brain Mind Institute, EPFL, Switzerland. ; Translational Neural Engineering Laboratory, Center for Neuroprosthetics and Institute of Bioengineering, EPFL, Lausanne, Switzerland. ; Bertarelli Foundation Chair in Neuroprosthetic Technology, Laboratory for Soft Bioelectronic Interfaces, Centre for Neuroprosthetics, Institute of Microengineering and Institute of Bioengineering, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland. International Paraplegic Foundation Chair in Spinal Cord Repair, Centre for Neuroprosthetics and Brain Mind Institute, EPFL, Switzerland. ; School of Engineering and Applied Sciences, Kavli Institute for Bionano Science and Technology, Harvard University, Cambridge, MA, USA. ; Laboratory for Biosensors and Bioelectronics, Institute for Biomedical Engineering, University and ETH Zurich, Switzerland. ; Translational Neural Engineering Laboratory, Center for Neuroprosthetics and Institute of Bioengineering, EPFL, Lausanne, Switzerland. The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa 56025, Italy. ; International Paraplegic Foundation Chair in Spinal Cord Repair, Centre for Neuroprosthetics and Brain Mind Institute, EPFL, Switzerland. gregoire.courtine@epfl.ch stephanie.lacour@epfl.ch. ; Bertarelli Foundation Chair in Neuroprosthetic Technology, Laboratory for Soft Bioelectronic Interfaces, Centre for Neuroprosthetics, Institute of Microengineering and Institute of Bioengineering, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland. gregoire.courtine@epfl.ch stephanie.lacour@epfl.ch.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25574019" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Biocompatible Materials/therapeutic use ; Brain-Computer Interfaces ; Drug Delivery Systems/*methods ; *Dura Mater ; Elasticity ; Electric Stimulation/*methods ; Electrochemotherapy/*methods ; *Electrodes, Implanted ; Locomotion ; Mice ; Mice, Inbred Strains ; Motor Cortex/physiopathology ; Multimodal Imaging ; Neurons/physiology ; Paralysis/etiology/physiopathology/*therapy ; Platinum ; *Prostheses and Implants ; Silicon ; Spinal Cord/physiopathology ; Spinal Cord Injuries/complications/physiopathology/*therapy
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2015-07-25
    Description: Superelastic conducting fibers with improved properties and functionalities are needed for diverse applications. Here we report the fabrication of highly stretchable (up to 1320%) sheath-core conducting fibers created by wrapping carbon nanotube sheets oriented in the fiber direction on stretched rubber fiber cores. The resulting structure exhibited distinct short- and long-period sheath buckling that occurred reversibly out of phase in the axial and belt directions, enabling a resistance change of less than 5% for a 1000% stretch. By including other rubber and carbon nanotube sheath layers, we demonstrated strain sensors generating an 860% capacitance change and electrically powered torsional muscles operating reversibly by a coupled tension-to-torsion actuation mechanism. Using theory, we quantitatively explain the complementary effects of an increase in muscle length and a large positive Poisson's ratio on torsional actuation and electronic properties.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Liu, Z F -- Fang, S -- Moura, F A -- Ding, J N -- Jiang, N -- Di, J -- Zhang, M -- Lepro, X -- Galvao, D S -- Haines, C S -- Yuan, N Y -- Yin, S G -- Lee, D W -- Wang, R -- Wang, H Y -- Lv, W -- Dong, C -- Zhang, R C -- Chen, M J -- Yin, Q -- Chong, Y T -- Zhang, R -- Wang, X -- Lima, M D -- Ovalle-Robles, R -- Qian, D -- Lu, H -- Baughman, R H -- New York, N.Y. -- Science. 2015 Jul 24;349(6246):400-4. doi: 10.1126/science.aaa7952.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas, Richardson, TX 75080, USA. Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou University, Changzhou 213164, China. Jiangnan Graphene Research Institute, Changzhou 213149, China. ; Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas, Richardson, TX 75080, USA. Jiangnan Graphene Research Institute, Changzhou 213149, China. ; Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas, Richardson, TX 75080, USA. Applied Physics Department, State University of Campinas, Campinas, SP 13081-970, Brazil. ; Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou University, Changzhou 213164, China. Micro/Nano Science and Technology Center, Jiangsu University, Zhenjiang 212013, China. ; Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas, Richardson, TX 75080, USA. ; High-Performance Materials Institute, Florida State University, Tallahassee, FL 32310, USA. ; Applied Physics Department, State University of Campinas, Campinas, SP 13081-970, Brazil. ; Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou University, Changzhou 213164, China. Jiangnan Graphene Research Institute, Changzhou 213149, China. ; Jiangnan Graphene Research Institute, Changzhou 213149, China. Institute of Materials Physics, Tianjin University of Technology, Tianjin 300384, China. ; Jiangnan Graphene Research Institute, Changzhou 213149, China. ; School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China. Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA. ; Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA. ; Lintec of America, Nano-Science and Technology Center, Richardson, TX 75081, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26206929" target="_blank"〉PubMed〈/a〉
    Keywords: *Elastic Tissue ; Elasticity ; Electric Capacitance ; *Electronics ; *Muscle, Skeletal ; *Nanotubes, Carbon ; Torsion, Mechanical
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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