LEADER 03981nam 2200625Ia 450 001 9910144132603321 005 20170809163203.0 010 $a1-281-75888-4 010 $a9786611758882 010 $a3-527-61682-9 010 $a3-527-61683-7 035 $a(CKB)1000000000540643 035 $a(EBL)482141 035 $a(OCoLC)814514713 035 $a(SSID)ssj0000230975 035 $a(PQKBManifestationID)11173865 035 $a(PQKBTitleCode)TC0000230975 035 $a(PQKBWorkID)10197380 035 $a(PQKB)10763076 035 $a(MiAaPQ)EBC482141 035 $a(EXLCZ)991000000000540643 100 $a19940418d1993 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aQSAR : Hansch analysis and related approaches$b[electronic resource] /$fby Hugo Kubinyi 210 $aWeinheim ;$aNew York $cVCH$dc1993 215 $a1 online resource (254 p.) 225 1 $aMethods and principles in medicinal chemistry ;$vv. 1 300 $aDescription based upon print version of record. 311 $a3-527-30035-X 320 $aIncludes bibliographical references (p. [183]-210) and index. 327 $aQSAR: Hansch Analysis and Related Approaches; Content; 1. Introduction; 1.1. History and Development of QSAR; 1.2. Drug-Receptor Interactions; 2. Biological Data. The Additivity of Group Contributions; 3. Parameters; 3.1. Lipophilicity Parameters; 3.2. The Measurement of Partition Coefficients and Related Lipophilicity Parameters; 3.3. Lipophilicity Contributions and the Calculation of Partition Coefficients; 3.4. Polarizability Parameters; 3.5. Electronic Parameters; 3.6. Steric Parameters; 3.7. Other Parameters; 3.8. Indicator Variables; 4. Quantitative Models 327 $a4.1. The Extrathermodynamic Approach (Hansch Analysis)4.2. The Additivity Model (Free Wilson Analysis); 4.3. The Relationships between Hansch and Free Wilson Analysis (The Mixed Approach); 4.4. Nonlinear Relationships; 4.5. Dissociation and Ionization of Acids and Bases; 4.6. Other QSAR Approaches; 5. Statistical Methods; 5.1. Regression Analysis; 5.2. The Significance and Validity of QSAR Regression Equations; 5.3. Partial Least Squares (PLS) Analysis and Other Multivariate Statistical Methods; 6. Design of Test Series in QSAR; 7. Applications of Hansch Analysis; 7.1. Enzyme Inhibition 327 $a7.2. Other in vitro Data7.3. Pharmacokinetic Data; 7.4. Other Biological Data; 7.5. Activity-Activity Relationships; 8. Applications of Free Wilson Analysis and Related Models; 9. 3D QSAR Approaches; 9.1. Stereochemistry and Drug Action; 9.2. Active Site Interaction Models; 9.3. Comparative Molecular Field Analysis (CoMFA); 9.4. Molecular Similarity QSAR Analyses; 10. Summary and Conclusions; References; Index 330 $aFinding the new remedy for a certain disease: an inspired goal. QSAR, an invaluable tool in drug design, aids scientists to attain this aim.This book is a long-awaited comprehensive text to QSAR and related approaches. It provides a practice-oriented introduction to the theory, methods and analyses for QSAR relationships, including modelling-based and 3D approaches.Hugo Kubinyi is a leading expert in QSAR. Readers will benefit from the author's 20 years of practical experience, from his careful calculations and recalculations of thousands of QSAR equations. Among the topics cov 410 0$aMethods and principles in medicinal chemistry ;$vv. 1. 606 $aQSAR (Biochemistry) 606 $aPharmaceutical chemistry 608 $aElectronic books. 615 0$aQSAR (Biochemistry) 615 0$aPharmaceutical chemistry. 676 $a572.072 676 $a615 676 $a615.1901 700 $aKubinyi$b Hugo$096070 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910144132603321 996 $aQSAR : Hansch analysis and related approaches$92137944 997 $aUNINA LEADER 05495nam 22006615 450 001 9910842492803321 005 20250808083409.0 010 $a9783031512247 010 $a3031512243 024 7 $a10.1007/978-3-031-51224-7 035 $a(MiAaPQ)EBC31206084 035 $a(Au-PeEL)EBL31206084 035 $a(DE-He213)978-3-031-51224-7 035 $a(CKB)30815005100041 035 $a(OCoLC)1425971710 035 $a(EXLCZ)9930815005100041 100 $a20240308d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComplex Systems and Their Applications $eFourth International Conference (EDIESCA 2023) /$fedited by Eric Campos-Cantón, Guillermo Huerta-Cuellar, Ernesto Zambrano-Serrano, Esteban Tlelo-Cuautle 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (360 pages) 311 08$a9783031512230 311 08$a3031512235 327 $aPart 1: Artificial Intelligence Applied to Dynamics and Complexity -- Chapter 1. Classification of Chaotic Dynamics Through Time-Frequency Representations and Machine Learning -- Chapter 2. Optimization of echo state neural networks to solve classification problems -- Chapter 3. Deep Learning in the Expansion of the Urban Spot -- Part 2: Biomedical Advancements in Rehabilitation Through Complex Systems -- Chapter 4. Solving Inverse Kinematics Problem for Manipulator Robots Using Artificial Neural Network with Varied Dataset Formats -- Chapter 5. CRNN-based Classification of EMG Signals for the Rehabilitation of the Human Arm -- Chapter 6. LMI-based Design of a Robust Affine Control law for the Position Control of a Knee Exoskeleton Robot: Comparative Analysis of Stability Conditions -- Chapter 7. Position Control of Robotic Systems via Linear Controllers with Application to a Lower Limb Rehabilitation Exoskeleton Robot: Design and Comparative Analysis -- Part 3: Controlling Dynamical and Complex Systems -- Chapter 8. Synchronization of memristive Hindmarsh-Rose neurons connected by memristive synapses -- Chapter 9. A systematic approach for Multi-switching compound synchronization of non-identical chaotic systems using optimal control -- Chapter 10. Limit Cycle Generation by Inducing the Controllable Hopf Bifurcation -- Chapter 11. Cascading Timers: The new method to Solve the Sequential Problems Including Timers in Automation Systems -- Chapter 12. Mixed Sensitivity Control of Euler-Lagrange Models -- Part 4: Applications of Chaotic and Complex Systems -- Chapter 13. A New 4-D Four-Scroll Hyperchaotic System with Multistability, Coexisting Attractors and its Circuit Realization -- Chapter 14. Secure Communication System Based on Multi-Stability: Evaluation using the SCAMPER Method for Innovation Projects -- Chapter 15. An Image Compression and Encryption Approach with Convolutional Layers, Two Dimensional Sparse Recovery and Chaotic Dynamics -- Chapter 16. Comparative study of the viscoelastic behavior on PLA filaments, a fractional calculus approach -- Chapter 17. A New 4-D Highly Chaotic Two-Scroll System with a Hyperbola of Equilibrium Points and its Circuit Simulation. 330 $aThis book is a compilation of scientific articles written by recognized researchers participating in the Fourth Conference on the Study of Complex Systems and their Applications (EDIESCA 2023), held in Monterrey, Mexico. EDIESCA arose from the need for academic and research groups that carry out this scientific research to disseminate their results internationally. The study and characterization of systems with non-linear and/or chaotic behavior has been of great interest to researchers around the world, for which many important results have been obtained with various applications. The dynamic study of chaotic oscillators of different models, such as Rössler, Lorenz, and Chua, has generated important advances in the understanding of chemical reactions, meteorological behavior, design of electronic devices, and other applications. Topics at the event included applications for communications systems by masking techniques, financial behavior, networks analysis, nonlinear lasers, numerical modeling, electronic design, and other interesting topics in the area of complex systems. Additionally, there are results on numerical simulation and electronic designs to generate complex dynamic behaviors. 606 $aSystem theory 606 $aNonlinear optics 606 $aComputer networks 606 $aElectronic circuit design 606 $aComplex Systems 606 $aNonlinear Optics 606 $aComputer Networks 606 $aElectronics Design and Verification 615 0$aSystem theory. 615 0$aNonlinear optics. 615 0$aComputer networks. 615 0$aElectronic circuit design. 615 14$aComplex Systems. 615 24$aNonlinear Optics. 615 24$aComputer Networks. 615 24$aElectronics Design and Verification. 676 $a530.1 700 $aCampos Canto?n$b Eric$01732918 701 $aHuerta Cuellar$b Guillermo$00 701 $aZambrano Serrano$b Ernesto$01732920 701 $aTlelo-Cuautle$b Esteban$0788101 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910842492803321 996 $aComplex Systems and Their Applications$94147908 997 $aUNINA LEADER 03965nam 22008895 450 001 9910484959303321 005 20251117075935.0 010 $a3-319-11683-5 024 7 $a10.1007/978-3-319-11683-9 035 $a(CKB)3710000000269664 035 $a(SSID)ssj0001372533 035 $a(PQKBManifestationID)11787118 035 $a(PQKBTitleCode)TC0001372533 035 $a(PQKBWorkID)11303936 035 $a(PQKB)11777455 035 $a(DE-He213)978-3-319-11683-9 035 $a(MiAaPQ)EBC5588011 035 $a(MiAaPQ)EBC6306995 035 $a(Au-PeEL)EBL5588011 035 $a(OCoLC)895001163 035 $a(Au-PeEL)EBL6306995 035 $a(PPN)182097595 035 $a(EXLCZ)993710000000269664 100 $a20141024d2014 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial Evolution $e11th International Conference, Evolution Artificielle, EA 2013, Bordeaux, France, October 21-23, 2013. Revised Selected Papers /$fedited by Pierrick Legrand, Marc-Michel Corsini, Jin-Kao Hao, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XVII, 271 p. 74 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v8752 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-319-11682-7 327 $aTheory -- Ant colony optimization -- Applications -- Combinatorial and discrete optimization -- Memetic algorithms -- Genetic programming -- Interactive evolution -- Parallel evolutionary algorithms.- Swarm intelligence. 330 $aThis book constitutes the refereed proceedings of the 11th International Conference on Artificial Evolution, EA 2013, held in Bordeaux, France, in October 2013. The 20 revised papers  were carefully reviewed and selected from 39 submissions. The papers are focused to theory, ant colony optimization, applications, combinatorial and discrete optimization, memetic algorithms, genetic programming, interactive evolution, parallel evolutionary algorithms, and swarm intelligence. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v8752 606 $aArtificial intelligence 606 $aComputer science 606 $aAlgorithms 606 $aInformation storage and retrieval systems 606 $aNumerical analysis 606 $aPattern recognition systems 606 $aArtificial Intelligence 606 $aTheory of Computation 606 $aAlgorithms 606 $aInformation Storage and Retrieval 606 $aNumerical Analysis 606 $aAutomated Pattern Recognition 615 0$aArtificial intelligence. 615 0$aComputer science. 615 0$aAlgorithms. 615 0$aInformation storage and retrieval systems. 615 0$aNumerical analysis. 615 0$aPattern recognition systems. 615 14$aArtificial Intelligence. 615 24$aTheory of Computation. 615 24$aAlgorithms. 615 24$aInformation Storage and Retrieval. 615 24$aNumerical Analysis. 615 24$aAutomated Pattern Recognition. 676 $a006.3 702 $aLegrand$b Pierrick$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCorsini$b Marc-Michel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHao$b J.-K$g(Jin-Kao),$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMonmarche?$b Nicolas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLutton$b Evelyne$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchoenauer$b Marc$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484959303321 996 $aArtificial Evolution$9772178 997 $aUNINA