LEADER 05816nam 2200709 450 001 9910464545203321 005 20200520144314.0 010 $a3-03826-392-3 035 $a(CKB)3710000000092851 035 $a(EBL)1910708 035 $a(SSID)ssj0001336155 035 $a(PQKBManifestationID)11750376 035 $a(PQKBTitleCode)TC0001336155 035 $a(PQKBWorkID)11295193 035 $a(PQKB)10455819 035 $a(MiAaPQ)EBC1910708 035 $a(Au-PeEL)EBL1910708 035 $a(CaPaEBR)ebr10846267 035 $a(OCoLC)899159010 035 $a(EXLCZ)993710000000092851 100 $a20140317h20142014 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdvanced research on material science, environment science and computer science III $eselected peer reviewed papers from the 2014 3rd International Conference on Material Science, Environment Science and Computer Science (MSESCS 2014), January 11-12, 2014, Wuhan, China /$fedited by Helen Zhang, David Jin and X.J. Zhao 210 1$aDurnten-Zurich, Switzerland :$cTrans Tech Publications Ltd,$d[2014] 210 4$dİ2014 215 $a1 online resource (742 p.) 225 1 $aAdvanced materials research,$x1022-6680 ;$vvolume 886 300 $aDescription based upon print version of record. 311 $a3-03835-011-7 320 $aIncludes bibliographical references and index. 327 $aAdvanced Research on Material Science, Environment Science and Computer Science III; Preface and Committee; Table of Contents; Chapter 1: Materials Science and Processing of Materials; Research on Formability of AZ31B Magnesium Alloy at Room Temperature; Effect of Mineralizer Concentration on ZnO Crystals Synthesized by Hydrothermal Method; Corrosion Inhibition of Sodium Hexametaphosphate for Carbon Steel in KCl Solution; The Effect of the Electro-Deposition Temperature to the Texture of Silicon Steel Sample; Studies on Synthesis Mechanism of Fe-Si Alloy 327 $aEffect of Temperature and Pressure on the Nitrogen Content of High Nitrogen SteelEffect of Bottom Blowing Time and Bottom Blowing Rate on the Nitrogen Content of High Nitrogen Steel; Effect of Extrusion on Mechanical Properties of Spray Forming 8009 Heat Resistant Aluminum Alloy; Research on the Second Phase of Spray Forming Al-8.5Fe-1.3V-1.7Si Aluminum Alloy; Alloy Design of New Ni-Based Structural Materials for Electrolytic Reduction and its Corrosion Behavior in Lithium Molten Salt 327 $aNumerical Simulation and Optimization of ""Non-Catalytic Reduction"" Process for Circulating Fluidized Bed Boiler Based on Properties of MaterialsA Study of the Fire Resistance against Structural Materials of H-Section Made of SS 400 by Boundary Conditions at High Temperature; Experimental Research on Lead-Zinc Separation of Refractory Lead-Zinc Ore; Effect of Subcritical Quenching on Microstructure and Mechanical Properties of EH36 Alloy; A Comparable Study on the Effects of Pristine and Functionalized Single-Walled Carbon Nanotubes on Schwann Cells 327 $aEffect of Aging Treatment on the Microstructures and the Magnetic Properties of the Sintered Nd-Fe-B MagnetProgress on Mg2Si Thermoelectric Materials; Experimental Fabrication and Property Research of Thermo-Sensitive Organic-Inorganic Hybrid Nano-Microcapsule; Indirect Enzyme-Linked Immune Method for the Detection of Binders in Ancient Chinese Textiles; Characterization of a Novel Zeolite Synthesized from Coal Fly Ash; Preparation and Process Research of Starch/Thatch Composite; Study on the Microstructure and Properties of WC Steel Bonded Carbide by Composite Electroslag Remelting 327 $aInfluence of Heat Treatment Process to Advanced Steel Matrix Composites of Engineering Machinery EquipmentSERS-Active Ag Decorated Polymer Nanorod Substrate Fabricated by the Combination of Photochemical Reduction and Nanoimprint Technology; Study on Wear Behavior of Plasma Arc Cladding of Tunneling Machine Pick; Behavior of Flow Stress of Al-Mn Alloy during Hot Compression; Structure Characterization of Fe-21Cr-17Mn-2Mo-Nb-0.83N Alloy Processed by Surface Mechanical Nanocrystallization; Experimental Study on Geometric Optimization of Thermoelectric Generation 327 $aDynamic Characteristic of AlN Precipitate in Production of High Strength and Low Carbon Steel in FTSR Technology 330 $aCollection of selected, peer reviewed papers from the 2014 3rd International Conference on Material Science, Environment Science and Computer Science, (MSESCS 2014), January 11-12, 2014, Wuhan, China. The 160 papers are grouped as follows: Chapter 1: Materials Science and Processing Materials; Chapter 2: Chemical Technologies and Materials; Chapter 3: Environmental Engineering; Chapter 4: Microbiology, Biomaterials and Biotechnologies; Chapter 5: Engineering Solutions for Machinery; Chapter 6: Technologies in Energy Supply and Saving; Chapter 7: Data Processing and Algorithms of Computational 410 0$aAdvanced materials research ;$vvolume 886. 606 $aMaterials science$xResearch$vCongresses 606 $aMaterials science$vCongresses 606 $aComputer science$vCongresses 606 $aEnvironmental sciences 608 $aElectronic books. 615 0$aMaterials science$xResearch 615 0$aMaterials science 615 0$aComputer science 615 0$aEnvironmental sciences. 676 $a620.11 702 $aZhang$b Helen 702 $aJin$b David 702 $aZhao$b X. J. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910464545203321 996 $aAdvanced research on material science, environment science and computer science III$91978700 997 $aUNINA LEADER 04735nam 2200409z- 450 001 9910136807503321 005 20210212 035 $a(CKB)3710000000631072 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/61049 035 $a(oapen)doab61049 035 $a(EXLCZ)993710000000631072 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aTowards an Integrated Approach to Measurement, Analysis and Modeling of Cortical Networks 210 $cFrontiers Media SA$d2016 215 $a1 online resource (264 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-762-X 330 $aThe amount of data being produced by neuroscientists is increasing rapidly, driven by advances in neuroimaging and recording techniques spanning multiple scales of resolution. The availability of such data poses significant challenges for their processing and interpretation. To gain a deeper understanding of the surrounding issues, the Editors of this e-Book reached out to an interdisciplinary community, and formed the Cortical Networks Working Group. The genesis of this e-Book thus began with this Working Group through support from the National Institute for Mathematical and Biological Synthesis in the USA. The Group consisted of scientists from neuroscience, physics, psychology and computer science, and meetings were held in person (a detailed list of the group members is presented in the Editorial that follows). At the time we started, in 2010, the term "big data" was hardly in existence, though the volume of data we were handling would certainly have qualified. Furthermore, there was significant interest in harnessing the power of supercomputers to perform large scale neuronal simulations, and in creating specialized hardware to mimic neural function. We realized that the various disciplines represented in our Group could and should work together to accelerate progress in Neuroscience. We searched for common threads that could define the foundation for an integrated approach to solve important problems in the field. We adopted a network-centric perspective to address these challenges, as the data are derived from structures that are themselves network-like. We proposed three inter-twined threads, consisting of measurement of neural activity, analysis of network structures deduced from this activity, and modeling of network function, leading to theoretical insights. This approach formed the foundation of our initial call for papers. When we issued the call for papers, we were not sure how many papers would fall into each of these threads. We were pleased that we found significant interest in each thread, and the number of submissions exceeded our expectations. This is an indication that the field of neuroscience is ripe for the type of integration and interchange that we had anticipated. We first published a special topics issue after we received a sufficient number of submissions. This is now being converted to an e-book to strengthen the coherence of its contributions. One of the strong themes emerging in this e-book is that network-based measures capture better the dynamics of brain processes, and provide features with greater discriminative power than point-based measures. Another theme is the importance of network oscillations and synchrony. Current research is shedding light on the principles that govern the establishment and maintenance of network oscillation states. These principles could explain why there is impaired synchronization between different brain areas in schizophrenics and Parkinson's patients. Such research could ultimately provide the foundation for an understanding of other psychiatric and neurodegenerative conditions. The chapters in this book cover these three main threads related to cortical networks. Some authors have combined two or more threads within a single chapter. We expect the availability of related work appearing in a single e-book to help our readers see the connection between different research efforts, and spur further insights and research. 606 $aNeurosciences$2bicssc 610 $acortical networks 610 $aemergent properties 610 $aGraph measures 610 $aneural dynamics 610 $aneural synchrony 615 7$aNeurosciences 700 $aA. Ravishankar Rao$4auth$01322471 702 $aGuillermo A. Cecchi$4auth 702 $aEhud Kaplan$4auth 906 $aBOOK 912 $a9910136807503321 996 $aTowards an Integrated Approach to Measurement, Analysis and Modeling of Cortical Networks$93035045 997 $aUNINA