LEADER 02558nam 22006134a 450 001 9910455943003321 005 20200520144314.0 010 $a1-280-50546-X 010 $a9786610505463 010 $a600-00-0379-X 010 $a1-60129-413-1 035 $a(CKB)111087028237634 035 $a(EBL)267483 035 $a(OCoLC)228124786 035 $a(SSID)ssj0000130448 035 $a(PQKBManifestationID)11159708 035 $a(PQKBTitleCode)TC0000130448 035 $a(PQKBWorkID)10081708 035 $a(PQKB)10200073 035 $a(MiAaPQ)EBC267483 035 $a(Au-PeEL)EBL267483 035 $a(CaPaEBR)ebr10155204 035 $a(CaONFJC)MIL50546 035 $a(OCoLC)560210906 035 $a(EXLCZ)99111087028237634 100 $a20020404d2002 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aCooperative systems design$b[electronic resource] $ea challenge of the mobility age /$fedited by Mireille Blay-Fornarino ... [et al.] 210 $aAmsterdam ;$aWashington, DC $cIOS Press$dc2002 215 $a1 online resource (304 p.) 225 1 $aFrontiers in artificial intelligence and applications ;$vv. 74 300 $aDescription based upon print version of record. 311 $a0-585-45861-8 311 $a1-58603-244-5 320 $aIncludes bibliographical references and index. 327 $aCover; Title page; Preface; Conference Committee; Program Committee; Additional Reviewers and Sponsors; Contents; Invited Speaker; Cooperation for Multi-Dimension Context; Tools and Techniques for Cooperative Systems Design; Cooperative Engineering; Cooperative Case Studies; Cooperative Knowledge Management and Context; Which Kind of Artifacts for Cooperation?; Panel Abstracts; Author Index 330 $aA collection of papers from the COOP 2002 conference. This conference was mainly devoted to the following issues: the gap between virtual and ""material"" artefacts in human collaboration; collaboration among mobile actors; the WWW as a platform for co-operative systems; and more. 410 0$aFrontiers in artificial intelligence and applications ;$vv. 74. 606 $aSystem design$vCongresses 608 $aElectronic books. 615 0$aSystem design 676 $a004.2/1 701 $aBlay-Fornarino$b Mireille$0989919 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910455943003321 996 $aCooperative systems design$92264186 997 $aUNINA LEADER 04131nam 2200673Ia 450 001 9910642833703321 005 20230213211508.0 010 $a0-470-51328-4 010 $a1-282-34590-7 010 $a9786612345906 010 $a0-470-51329-2 035 $a(CKB)1000000000377310 035 $a(EBL)470473 035 $a(OCoLC)609849385 035 $a(SSID)ssj0000310915 035 $a(PQKBManifestationID)11242174 035 $a(PQKBTitleCode)TC0000310915 035 $a(PQKBWorkID)10313036 035 $a(PQKB)10773224 035 $a(MiAaPQ)EBC470473 035 $a(EXLCZ)991000000000377310 100 $a19870625d1986 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aSynthetic peptides as antigens$b[electronic resource] 210 $aChichester $cWiley$d1986 215 $a1 online resource (320 p.) 225 1 $aCiba Foundation symposium ;$v119 300 $aEditors: Ruth Porter (organizer) and Julie Whelan. 300 $a"Symposium on Synthetic Peptides as Antigens, held at the Ciba Foundation, London, 4-6 June 1985." 311 $a0-471-99838-9 311 $a0-471-91203-4 320 $aIncludes bibliographies and indexes. 327 $a""Synthetic peptides as antigens""; ""Contents""; ""Contributors""; ""Introduction""; ""Regulation of in vivo immune responses: few principles and much ignorance""; ""Raising antibodies by coupling peptides to PPD and immunizing BCG-sensitized animals""; ""Selection by site-directed antibodies of small regions of peptides which are ordered in water""; ""Influence of local structure on the location of antigenic determinants in tobacco mosaic virus protein""; ""The importance of conformation and of equilibria in the interaction of globular proteins and their fragments with antibodies"" 327 $a""Three-dimensional analyses of the binding of synthetic chemotactic and opioid peptides in the Mcg light chain dimer""""The delineation of peptides able to mimic assembled epitopes""; ""Experimental basis for the development of a synthetic vaccine against Plasmodium falciparum malaria sporozoites""; ""Antigenic repeat structures in proteins of Plasmodium fakiparum""; ""Synthetic peptides with antigenic specificity for bacterial toxins""; ""Use of synthetic peptides as immunogens for developing a vaccine against human chorionic gonadotropin"" 327 $a""The use of synthetic peptides in the delineation of immunoglobulin antigenic epitopes and Fc effector functions""""Characterization of the human c-myc protein using antibodies prepared against synthetic peptides""; ""Epitope mapping of human recombinant interferon alpha molecules by monoclonal antibodies""; ""Final general discussion""; ""Chairmana???s summing-up""; ""Index of contributors""; ""Subject index"" 330 $aSymposium on Synthetic Peptides as Antigens, held at the Ciba Foundation, London, 4-6 June 1985 The subject of this symposium was proposed by P. Dukor and D. G. Braun Editors: Ruth Porter (Organizer) and Julie Whelan G. L. Ada Introduction J. H. Humphrey Regulation of in vivo immune responses: few principles and much ignorance Discussion P. J. Lachmann, L. Strangeways, A. Vyakarnam and G. I. Evan Raising antibodies by coupling peptides to PPD and immunizing BCG-sensitized animals Discussion H. J. Dyson, K. J. Cross, J. Ostresh, R. A. Houghten, I. A. Wilson, P. E. Wright and R. A. Lerne 410 0$aCiba Foundation symposium ;$v119. 606 $aPeptides$vCongresses 606 $aPeptides$xSynthesis$vCongresses 606 $aAntigens$vCongresses 615 0$aPeptides 615 0$aPeptides$xSynthesis 615 0$aAntigens 676 $a616.0792 676 $a658.4010971 701 $aPorter$b Ruth$064811 701 $aWhelan$b Julie$0322651 712 12$aSymposium on Synthetic Peptides as Antigens$f(1985 :$eCiba Foundation) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910642833703321 996 $aSynthetic peptides as antigens$93005977 997 $aUNINA LEADER 01824nam 2200469 a 450 001 9910700990303321 005 20120420120022.0 035 $a(CKB)5470000002413120 035 $a(OCoLC)786284675 035 $a(EXLCZ)995470000002413120 100 $a20120420d2011 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWater resources of Lafayette Parish$b[electronic resource] /$f[by Robert B. Fendick, Jr., Jason M. Griffith, and Lawrence B. Prakken] ; in cooperation with the Louisiana Department of Transportation and Development 205 $aRev. July 2011. 210 1$a[Reston, Va.] :$cU.S. Dept. of the Interior, U.S. Geological Survey,$d2011. 215 $a1 online resource (6 unnumbered pages) $ccolor illustrations, maps (one color) 225 1 $aFact sheet ;$v2010-3048 300 $aTitle from title screen (viewed on Apr. 20, 2012). 320 $aIncludes bibliographical references (pages 5-6). 606 $aWater-supply$zLouisiana$zLafayette Parish 606 $aWater quality$zLouisiana$zLafayette Parish 606 $aGroundwater$zLouisiana$zLafayette Parish 606 $aLand use$xEnvironmental aspects$zLouisiana$zLafayette Parish 615 0$aWater-supply 615 0$aWater quality 615 0$aGroundwater 615 0$aLand use$xEnvironmental aspects 700 $aFendick$b Robert B$01390581 701 $aGriffith$b Jason M$01397776 701 $aPrakken$b Lawrence B$01388230 712 02$aLouisiana.$bDepartment of Transportation and Development. 712 02$aGeological Survey (U.S.) 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910700990303321 996 $aWater resources of Lafayette Parish$93510408 997 $aUNINA LEADER 02021oam 2200517I 450 001 9910704140403321 005 20151209072726.0 035 $a(CKB)5470000002438262 035 $a(OCoLC)886560290 035 $a(EXLCZ)995470000002438262 100 $a20140812d1987 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMineral resources of the Cinder Cones Wilderness Study Area, San Bernardino County, California /$fHoward G. Wilshire [and five others] 210 1$a[Reston, Va.] :$cDepartment of the Interior, U.S. Geological Survey,$d1987. 210 2$aWashington :$cUnited States Government Printing Office. 215 $a1 online resource (v, 13 pages) $cmaps (1 color) 225 1 $aU.S. Geological Survey bulletin ;$v1712-B 225 1 $aMineral resources of wilderness study areas--central California desert conservation area ;$vch. B 225 1 $aStudies related to wilderness--Bureau of Land Management wilderness study areas 300 $aTitle from title screen (viewed Aug. 11, 2014). 320 $aIncludes bibliographical references. 606 $aMines and mineral resources$zCalifornia$zCinder Cones Wilderness 606 $aGeology$zCalifornia$zCinder Cones Wilderness 606 $aGeology$2fast 606 $aMines and mineral resources$2fast 607 $aCinder Cones Wilderness (Calif.) 607 $aCalifornia$zCinder Cones Wilderness$2fast 615 0$aMines and mineral resources 615 0$aGeology 615 7$aGeology. 615 7$aMines and mineral resources. 700 $aWilshire$b Howard Gordon$f1926-$01118847 712 02$aGeological Survey (U.S.), 801 0$bCOP 801 1$bCOP 801 2$bOCLCO 801 2$bOCLCF 801 2$bGPO 906 $aBOOK 912 $a9910704140403321 996 $aMineral resources of the Cinder Cones Wilderness Study Area, San Bernardino County, California$93478046 997 $aUNINA LEADER 04998nam 2200661Ia 450 001 9911006671003321 005 20200520144314.0 010 $a1-281-05519-0 010 $a9786611055196 010 $a0-08-053256-X 035 $a(CKB)1000000000383887 035 $a(EBL)318223 035 $a(OCoLC)190795160 035 $a(SSID)ssj0000072073 035 $a(PQKBManifestationID)11120420 035 $a(PQKBTitleCode)TC0000072073 035 $a(PQKBWorkID)10091627 035 $a(PQKB)10431408 035 $a(MiAaPQ)EBC318223 035 $a(EXLCZ)991000000000383887 100 $a19950413d1995 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGlobal optimization methods in geophysical inversion /$fMrinal Sen and Paul L. Stoffa 210 $aAmsterdam ;$aNew York $cElsevier$dc1995 215 $a1 online resource (294 p.) 225 1 $aAdvances in exploration geophysics ;$v4 300 $aDescription based upon print version of record. 311 $a0-444-81767-0 320 $aIncludes bibliographical references (p. 269-277) and index. 327 $aFront Cover; Global Optimization Methods in Geophysical Inversion; Copyright Page; Contents; Preface; Chapter 1. Preliminary Statistics; 1.1. Random variables; 1.2. Random numbers; 1.3. Probability; 1.4. Probability distribution, distribution function and density function; 1.5. Joint and marginal probability distributions; 1.6. Mathematical expectation, moments, variances, and covariances; 1.7. Conditional probability; 1.8. Monte Carlo integration; 1.9. Importance sampling; 1.10. Stochastic processes; 1.11. Markov chains 327 $a1.12. Homogeneous, inhomogeneous, irreducible and aperiodic Markov chains1.13. The limiting probability; Chapter 2. Direct, Linear and Iterative-linear Inverse Methods; 2.1. Direct inversion methods; 2.2. Model based inversion methods; 2.3. Linear/linearized inverse methods; 2.4. Iterative linear methods for quasi-linear problems; 2.5. Bayesian formulation; 2.6. Solution using probabilistic formulation; 2.7. Summary; Chapter 3. Monte Carlo Methods; 3.1. Enumerative or grid search techniques; 3.2. Monte Carlo inversion; 3.3. Hybrid Monte Carlo-linear inversion 327 $a3.4. Directed Monte Carlo methodsChapter 4. Simulated Annealing Methods; 4.1. Metropolis algorithm; 4.2. Heat bath algorithm; 4.3. Simulated annealing without rejected moves; 4.4. Fast simulated annealing; 4.5. Very fast simulated reannealing; 4.6. Mean; 4.7. Using SA in geophysical inversion; 4.8. Summary; Chapter 5. Genetic Algorithms; 5.1. A classical GA; 5.2. Schemata and the fundamental theorem of genetic algorithms; 5.3. Problems; 5.4. Combining elements of SA into a new GA; 5.5. A mathematical model of a GA; 5.6. Multimodal fitness functions, genetic drift; 5.7. Uncertainty estimates 327 $a5.8. Evolutionary programming5.9. Summary; Chapter 6. Geophysical Applications of SA and G A; 6.1. 1-D Seismic waveform inversion; 6.2. Pre-stack migration velocity estimation; 6.3. Inversion of resistivity sounding data for 1-D earth models; 6.4. Inversion of resistivity profiling data for 2-D earth models; 6.5. Inversion of magnetotelluric sounding data for 1-D earth models; 6.6. Stochastic reservoir modeling; 6.7. Seismic deconvolution by mean field annealing and Hopfield network; Chapter 7. Uncertainty Estimation; 7.1. Methods of Numerical Integration 327 $a7.2. Simulated annealing: The Gibbs' sampler7.3. Genetic algorithm: The parallel Gibbs' sampler; 7.4. Numerical examples; 7.5. Summary; References; Subject Index 330 $aOne of the major goals of geophysical inversion is to find earth models that explain the geophysical observations. Thus the branch of mathematics known as optimization has found significant use in many geophysical applications. Both local and global optimization methods are used in the estimation of material properties from geophysical data. As the title of the book suggests, the aim of this book is to describe the application of several recently developed global optimization methods to geophysical problems. The well known linear and gradient based optimization methods have been summari 410 0$aAdvances in exploration geophysics ;$v4. 606 $aGeological modeling 606 $aGeophysics$xMathematical models 606 $aInverse problems (Differential equations) 606 $aMathematical optimization 615 0$aGeological modeling. 615 0$aGeophysics$xMathematical models. 615 0$aInverse problems (Differential equations) 615 0$aMathematical optimization. 676 $a550/.1/13 700 $aSen$b Mrinal K$01714149 701 $aStoffa$b Paul L.$f1948-$0530386 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911006671003321 996 $aGlobal optimization methods in geophysical inversion$94392111 997 $aUNINA