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図書
図書
1. Introduction to heterogeneous catalysis. 2nd ed (: hardcover)
Roel Prins ... [et al]
出版情報: Hackensack, New Jersey : World Scientific, c2022  xviii, 392 p. ; 24 cm
シリーズ名: Advanced textbooks in chemistry
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Preface
About the Authors
Introduction / 1：
Catalysis and Catalysts / 1.1：
Heterogeneous and Homogeneous Catalysis / 1.2：
Production of Ammonia / 1.3：
Kinetics and Thermodynamics / 1.3.1：
Activity, Selectivity and Stability / 1.3.2：
H2 Production / 1.3.3：
Ammonia Synthesis / 1.3.4：
Relevance of Catalysis / 1.4：
References
Questions
Catalyst Preparation and Characterisation / 2：
Supported Catalysts / 2.1：
Crystal Structures / 2.2：
Crystal Lattices / 2.2.1：
X-ray Diffraction / 2.2.2：
Aluminas / 2.3：
Aluminium Hydroxides and Oxyhydroxides / 2.3.1：
Transition Aluminas / 2.3.2：
¿-Al2O3 / 2.3.3：
Surface of ¿-Al2O3 / 2.3.4：
Lewis acid sites / 2.3.5.1：
Brønsted acid sites / 2.3.5.2：
Surface reconstruction / 2.3.5.3：
Silica / 2.4：
Preparation of Supported Catalysts / 2.5：
Adsorption / 3：
Physisorption / 3.1：
Adsorption on Surfaces / 3.1.1：
Langmuir Adsorption Isotherm / 3.1.2：
Multilayer Adsorption, BET / 3.1.3：
Surface Diffusion / 3.2：
Chemisorption / 3.3：
Chemical Bonding / 3.3.1：
Dissociative Chemisorption / 3.3.2：
Kinetics / 4：
Langmuir-Hinshelwood Model / 4.1：
Monomolecular Reaction / 4.1.1：
Surface reaction is rate-determining / 4.1.1.1：
Adsorption of the reactant or product is rate-determining / 4.1.1.2：
Bimolecular Reaction / 4.1.2：
Influence of Diffusion / 4.2：
Bifunctional Catalysis / 4.3：
Metal Surfaces / 5：
Surface Structures / 5.1：
Surface Analysis / 5.2：
X-ray Photoelectron Spectroscopy / 5.2.1：
Auger Electron Spectroscopy / 5.2.2：
Surface Sensitivity / 5.2.3：
Surface Enrichment / 5.3：
Metal Binding / 5.4：
Metal Catalysis / 6：
Dissociation of H2 / 6.1：
Hydrogenation of Ethene / 6.2：
Synthesis of CO and H2 / 6.3：
Hydrogenation of CO / 6.4：
CO Hydrogenation to Hydrocarbons / 6.4.1：
CO dissociation / 6.4.1.1：
Methanation / 6.4.1.2：
Fischer-Tropsch reaction / 6.4.1.3：
Hydrogenation of CO and CO2 to Methanol / 6.4.2：
CO hydrogenation to methanol / 6.4.2.1：
CO2 hydrogenation to methanol / 6.4.2.2：
Hydrogenation of N2 to Ammonia / 6.5：
Fe Catalyst / 6.5.1：
Ru Catalyst / 6.5.2：
Volcano Curves / 6.6：
Catalysis by Solid Acids / 7：
Solid Acid Catalysts / 7.1：
Zeolites / 7.1.1：
Amorphous Silica-Alumina / 7.1.2：
Reactions of Hydrocarbons / 7.2：
Reactions of Alkenes and Alkanes / 7.2.1：
Isomerisation of Pentane, Hexane and Butene / 7.2.2：
Alcohols from Alkenes / 7.3：
Alkylation of Aromatics / 7.4：
Ethylation and Propylation of Benzene / 7.4.1：
Methylation of Toluene / 7.4.2：
Isomerisation, Disproportionation, Transalkylation / 7.4.3：
Gasoline Production / 7.5：
Fluid Catalytic Cracking and Hydrocracking / 7.5.1：
Methanol to Hydrocarbons / 7.5.2：
Reforming of Hydrocarbons by Bifunctional Catalysis / 7.5.3：
Cleaning of Fuels by Hydrotreating / 8：
Hydrotreating / 8.1：
Hydrotreating Catalysts / 8.2：
Metal Sulfides / 8.2.1：
Structure of sulfided Co-Mo/Al2O3 and Ni-Mo/Al2O3 / 8.2.1.1：
Active sites / 8.2.1.2：
Metal Phosphides / 8.2.2：
Reaction Mechanisms / 8.3：
Hydro desulfurisation / 8.3.1：
Hydrodenitrogenation / 8.3.2：
Hydrodeoxygenation / 8.3.3：
Hydrotreating of Mixtures / 8.3.4：
Hydrotreating Processes / 8.4：
Hydrodesulfurisation of Naphtha / 8.4.1：
Hydrotreating of Diesel / 8.4.2：
Residue Hydro conversion / 8.4.3：
Oxidation Catalysis / 9：
CO Oxidation / 9.1：
Mechanism / 9.1.1：
Three-way Catalysis / 9.1.2：
Production of Sulfuric and Nitric Acid / 9.2：
Sulfuric Acid / 9.2.1：
Nitric Acid / 9.2.2：
Selective Catalytic Reduction / 9.2.3：
Oxidation of Hydrocarbons / 9.3：
Oxidation by Oxygen / 9.3.1：
Oxidation by Hydroperoxide / 9.3.2：
Selective Partial Oxidation of Hydrocarbons / 9.3.3：
Oxidation of propene to acrylic acid and acrylonitrile / 9.3.3.1：
Oxidation of C4 and C6 molecules / 9.3.3.2：
Platform Chemicals / 9.4：
Electrocatalysis / 10：
Fundamental Aspects / 10.1：
Electrochemical Cells / 10.2.1：
Cell and Electrode Potentials / 10.2.2：
The Nernst Equation / 10.2.3：
Overpotential / 10.2.4：
Electrode Kinetics / 10.2.5：
Experimental Methods and Techniques / 10.3：
Three-Electrode Cell Configuration / 10.3.1：
Techniques for Electrocatalyst Evaluation / 10.3.2：
Linear Sweep Voltammetry and Cyclic Voltammetry / 10.3.3：
Electrochemical Impedance Spectroscopy / 10.3.4：
Rotating Disc Electrode / 10.3.5：
The Electro chemically Active Surface Area / 10.3.6：
Electrocatalysis for the Production of Sustainable Fuels and Chemicals / 10.4：
Development of Electrocatalysts / 10.4.1：
Hydrogen Evolution Reaction / 10.4.2：
Oxygen Evolution Reaction / 10.4.3：
CO2 Electroreduction / 10.4.4：
Other Electrochemical Processes / 10.4.5：
Answers
Index
Preface
About the Authors
Introduction / 1：
2.

図書
図書
2. A student's guide to Python for physical modeling. 2nd ed (: pbk)
Jesse M. Kinder and Philip Nelson
出版情報: Princeton : Princeton University Press, c2021  xiii, 223 p. ; 26 cm
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Let's Go
Getting Started with Python / 1：
Algorithms and algorithmic thinking / 1.1：
Algorithmic thinking / 1.1.1：
States / 1.1.2：
What does a = a + 1 mean? / 1.1.3：
Symbolic versus numerical / 1.1.4：
Launch Python / 1.2：
IPython console / 1.2.1：
Error messages / 1.2.2：
Sources of help / 1.2.3：
Good practice: Keep a log / 1.2.4：
Python modules / 1.3：
Import / 1.3.1：
From … import / 1.3.2：
NumPy and PyPlot / 1.3.3：
Python expressions / 1.4：
Numbers / 1.4.1：
Arithmetic operations and predefined functions / 1.4.2：
Good practice: Variable names / 1.4.3：
More about functions / 1.4.4：
Organizing Data / 2：
Objects and their methods / 2.1：
Lists, tuples, and arrays / 2.2：
Creating a list or tuple / 2.2.1：
NumPy arrays / 2.2.2：
Filling an array with values / 2.2.3：
Concatenation of arrays / 2.2.4：
Accessing array elements / 2.2.5：
Arrays and assignments / 2.2.6：
Slicing / 2.2.7：
Flattening an array / 2.2.8：
Reshaping an array / 2.2.9：
T2 Lists and arrays as indices / 2.2.10：
Strings / 2.3：
Raw strings / 2.3.1：
Formatting strings with the format () method / 2.3.2：
T2 Formatting strings with % / 2.3.3：
Structure and Control / 3：
Loops / 3.1：
For loops / 3.1.1：
While loops / 3.1.2：
Very long loops / 3.1.3：
Infinite loops / 3.1.4：
Array operations / 3.2：
Vectorizing math / 3.2.1：
Matrix math / 3.2.2：
Reducing an array / 3.2.3：
Scripts / 3.3：
The Editor / 3.3.1：
T2 Other editors / 3.3.2：
First steps to debugging / 3.3.3：
Good practice: Commenting / 3.3.4：
Good practice: Using named parameters / 3.3.5：
Good practice: Units / 3.3.6：
Contingent behavior: Branching / 3.4：
The if statement / 3.4.1：
Testing equality of floats / 3.4.2：
Nesting / 3.5：
Data In, Results Out / 4：
Importing data / 4.1：
Obtaining data / 4.1.1：
Bringing data into Python / 4.1.2：
Exporting data / 4.2：
Data files / 4.2.1：
Visualizing data / 4.3：
The plot command and its relatives / 4.3.1：
Log axes / 4.3.2：
Manipulate and embellish / 4.3.3：
Replacing curves / 4.3.4：
T2 More about figures and their axes / 4.3.5：
T2 Error bars / 4.3.6：
3D graphs / 4.3.7：
Multiple plots / 4.3.8：
Subplots / 4.3.9：
Saving figures / 4.3.10：
T2 Using figures in other applications / 4.3.11：
First Computer Lab / 5：
HIV example / 5.1：
Explore the model / 5.1.1：
Fit experimental data / 5.1.2：
Bacterial example / 5.2：
Random Number Generation and Numerical Methods / 5.2.1：
Writing your own functions / 6.1：
Defining functions in Python / 6.1.1：
Updating functions / 6.1.2：
Arguments, keywords, and defaults / 6.1.3：
Return values / 6.1.4：
Functional programming / 6.1.5：
Random numbers and simulation / 6.2：
Simulating coin flips / 6.2.1：
Generating trajectories / 6.2.2：
Histograms and bar graphs / 6.3：
Creating histograms / 6.3.1：
Finer control / 6.3.2：
Contour plots, surface plots, and heat maps / 6.4：
Generating a grid of points / 6.4.1：
Contour plots / 6.4.2：
Surface plots / 6.4.3：
Heat maps / 6.4.4：
Numerical solution of nonlinear equations / 6.5：
General real functions / 6.5.1：
Complex roots of polynomials / 6.5.2：
Solving systems of linear equations / 6.6：
Numerical integration / 6.7：
Integrating a predefined function / 6.7.1：
Integrating your own function / 6.7.2：
Oscillatory integrands / 6.7.3：
T2 Parameter dependence / 6.7.4：
Numerical solution of differential equations / 6.8：
Reformulating the problem / 6.8.1：
Solving an ODE / 6.8.2：
Other ODE solvers / 6.8.3：
Vector fields and streamlines / 6.9：
Vector fields / 6.9.1：
Streamlines / 6.9.2：
Second Computer Lab / 7：
Generating and plotting trajectories / 7.1：
Plotting the displacement distribution / 7.2：
Rare events / 7.3：
The Poisson distribution / 7.3.1：
Waiting times / 7.3.2：
Images and Animation / 8：
Image processing / 8.1：
Images as NumPy arrays / 8.1.1：
Saving and displaying images / 8.1.2：
Manipulating images / 8.1.3：
Displaying data as an image / 8.2：
Animation / 8.3：
Creating animations / 8.3.1：
Saving animations / 8.3.2：
HTML movies
T2 Using an encoder
Conclusion / 8.3.3：
Third Computer Lab / 9：
Convolution / 9.1：
Python tools for image processing / 9.1.1：
Averaging / 9.1.2：
Smoothing with a Gaussian / 9.1.3：
Denoising an image / 9.2：
Emphasizing features / 9.3：
T2 Image files and arrays / 9.4：
Advanced Techniques / 10：
Dictionaries and generators / 10.1：
Dictionaries / 10.1.1：
Special function arguments / 10.1.2：
List comprehensions and generators / 10.1.3：
Tools for data science / 10.2：
Series and data frames with pandas / 10.2.1：
Machine learning with scikit-learn / 10.2.2：
Next steps / 10.2.3：
Symbolic computing / 10.3：
Wolfram Alpha / 10.3.1：
The SymPy library / 10.3.2：
Other alternatives / 10.3.3：
First passage revisited / 10.3.4：
Writing your own classes / 10.4：
A random walk class / 10.4.1：
When to use classes / 10.4.2：
Get Going
Installing Python / A：
Install Python and Spyder / A.1：
Graphical installation / A.1.1：
Command line installation / A.1.2：
Setting up Spyder / A.2：
Working directory / A.2.1：
Interactive graphics / A.2.2：
Script template / A.2.3：
Restart / A.2.4：
Keeping up to date / A.3：
Installing FFmpeg / A.4：
Installing ImageMagick / A.5：
Command Line Tools / B：
The command line / B.1：
Navigating your file system / B.1.1：
Creating, renaming, moving, and removing files / B.1.2：
Creating and removing directories / B.1.3：
Python and Conda / B.1.4：
Text editors / B.2：
Version control / B.3：
How Git works / B.3.1：
Installing and using Git / B.3.2：
Tracking changes and synchronizing repositories / B.3.3：
Summary of useful workflows / B.3.4：
Troubleshooting / B.3.5：
Jupyter Notebooks / B.4：
Getting started / C.1：
Launch Jupyter Notebooks / C.1.1：
Open a notebook / C.1.2：
Multiple notebooks / C.1.3：
Quitting Jupyter / C.1.4：
T2 Setting the default directory / C.1.5：
Cells / C.2：
Code cells / C.2.1：
Graphics / C.2.2：
Markdown cells / C.2.3：
Edit mode and command mode / C.2.4：
Sharing / C.3：
More details / C.4：
Pros and cons / C.5：
Errors and Error Messages / D：
Python errors in general / D.1：
Some common errors / D.2：
Python 2 versus Python 3 / E：
Division / E.1：
Print command / E.2：
User input / E.3：
More assistance / E.4：
Under the Hood / F：
Assignment statements / F.1：
Memory management / F.2：
Functions / F.3：
Scope / F.4：
Name collisions / F.4.1：
Variables passed as arguments / F.4.2：
Summary / F.5：
Answers to "Your Turn" Questions / G：
Acknowledgments
Recommended Reading
Index
Let's Go
Getting Started with Python / 1：
Algorithms and algorithmic thinking / 1.1：
3.

図書
図書
3. E2S2-CREATE and AIChE Waste Management Conference 2019 : Singapore 11-13 March 2019 (: pbk)
E2S2-CREATE and AIChE Waste Management Conference ; American Institute of Chemical Engineers ; E2S2-CREATE
出版情報: New York : AIChE , Red Hook, NY : Printed from e-media with permission by Curran Associates, 2021, c2019  62 p. ; 28 cm
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4.

図書
図書
4. Bioinorganic chemistry : a short course. 3rd ed (: pbk)
Rosette M. Roat-Malone
出版情報: Hoboken, N.J. : John Wiley & Sons, c2020  xxii, 328 p. ; 23 cm
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Preface
Acknowledgments
Biography
About the Companion Page
Inorganic Chemistry And Biochemistry Essentials / 1：
Introduction / 1.1：
Essential Chemical Elements / 1.2：
Inorganic Chemistry Basics / 1.3：
Electronic and Geometric Structures of Metals in Biological Systems / 1.4：
Thermodynamics and Kinetics / 1.5：
Bioorganometallic Chemistry / 1.6：
Inorganic Chemistry Conclusions / 1.7：
Introduction to Biochemistry / 1.8：
Proteins / 1.9：
Amino Acid Building Blocks / 1.9.1：
Protein Structure / 1.9.2：
Protein Function, Enzymes, and Enzyme Kinetics / 1.9.3：
DNA and RNA Building Blocks / 1.10：
DNA and RNA Molecular Structures / 1.10.1：
Transmission of Genetic Information / 1.10.2：
Genetic Mutations and Site-Directed Mutagenesis / 1.10.3：
Genes and Cloning / 1.10.4：
Genomics and the Human Genome / 1.10.5：
CRISPR / 1.10.6：
A Descriptive Example: Electron Transport Through DNA / 1.11：
Cyclic Voltammetry / 1.11.1：
Summary and Conclusions / 1.12：
Questions and Thought Problems / 1.13：
References
Computer Hardware, Software, Computational Chemistry Methods / 2：
Introduction to Computer-Based Methods / 2.1：
Computer Hardware / 2.2：
Computer Software for Chemistry / 2.3：
Chemical Drawing Programs / 2.3.1：
Visualization Programs / 2.3.2：
Computational Chemistry Software / 2.3.3：
Molecular Dynamics (MD) Software / 2.3.3.1：
Mathematical and Graphing Software / 2.3.3.2：
Molecular Mechanics (MM), Molecular Modeling, and Molecular Dynamics (MD) / 2.4：
Quantum Mechanics-Based Computational Methods / 2.5：
Ab-Initio Methods / 2.5.1：
Semiempirical Methods / 2.5.2：
Density Functional Theory and Examples / 2.5.3：
Starting with Schrödinger / 2.5.3.1：
Density Functional Theory (DFT) / 2.5.3.2：
Basis Sets / 2.5.3.3：
DFT Applications / 2.5.3.4：
Quantum Mechanics/Molecular Mechanics (QM/MM) Methods / 2.5.4：
Conclusions on Hardware, Software, and Computational Chemistry / 2.6：
Databases, Visualization Tools, Nomenclature, and other Online Resources / 2.7：
Important Metal Centers In Proteins / 2.8：
Iron Centers in Myoglobin and Hemoglobin / 3.1：
Structure and Function as Determined by X-ray Crystallography and Nuclear Magnetic Resonance / 3.1.1：
Cryo-Electron Microscopy and Hemoglobin Structure/Function / 3.1.3：
Cryo-Electron Microscopy Techniques / 3.1.3.1：
Structures Determined Using Cryo-Electron Microscopy / 3.1.3.3：
Model Compounds / 3.1.4：
Blood Substitutes / 3.1.5：
Iron Centers in Cytochromes / 3.2：
Cytochrome c Oxidase / 3.2.1：
Cytochrome c Oxidase (CcO) Structural Studies / 3.2.2：
Cytochrome c Oxidase (CcO) Catalytic Cycle and Energy Considerations / 3.2.3：
Proton Channels in Cytochrome c Oxidase / 3.2.4：
Cytochrome c Oxidase Model Compounds / 3.2.5：
Iron-Sulfur Clusters in Nitrogenase / 3.3：
Nitrogenase Structure and Catalytic Mechanism / 3.3.1：
Mechanism of Dinitrogen (N2) Reduction / 3.3.3：
Substrate Pathways into Nitrogenase / 3.3.4：
Nitrogenase Model Compounds / 3.3.5：
Functional Nitrogenase Models / 3.3.5.1：
Structural Nitrogenase Models / 3.3.5.2：
Copper and Zinc in Superoxide Dismutase / 3.4：
Superoxide Dismutase Structure and Mechanism of Catalytic Activity / 3.4.1：
A Copper Zinc Superoxide Dismutase Model Compound / 3.4.3：
Methane Monooxygenase / 3.5：
Soluble Methane Monooxygenase / 3.5.1：
Particulate Methane Monooxygenase / 3.5.3：
Hydrogenases, Carbonic Anhydrases, Nitrogen Cycle Enzymes / 3.6：
Hydrogenases / 4.1：
[NiFe]-hydrogenases / 4.2.1：
[NiFe]-hydrogenase Model Compounds / 4.2.2.1：
[FeFe]-hydrogenases / 4.2.3：
[FeFe]-Hydrogenase Model Compounds / 4.2.3.1：
[Fe]-hydrogenases / 4.2.4：
[Fe]-Hydrogenase Model Compounds / 4.2.4.1：
Carbonic Anhydrases / 4.3：
Carbonic Anhydrase Inhibitors / 4.3.1：
Nitrogen Cycle Enzymes / 4.4：
Nitric Oxide synthase / 4.4.1：
Nitric Oxide Synthase Structure / 4.4.2.1：
Nitric Oxide Synthase Inhibitors / 4.4.2.3：
Nitrite Reductase / 4.4.3：
Reduction of Nitrite Ion to Ammonium Ion / 4.4.3.1：
Reduction of Nitrite Ion to Nitric Oxide / 4.4.3.3：
Nanobioinorganic Chemistry / 4.5：
Introduction to Nanomaterials / 5.1：
Analytical Methods / 5.2：
Microscopy / 5.2.1：
Scanning Electron Microscopy (SEM) / 5.2.1.1：
Transmission Electron Microscopy (TEM) / 5.2.1.2：
Scanning Transmission Electron Microscopy (STEM) / 5.2.1.3：
Cryo-Electron Microscopy / 5.2.1.4：
Scanning Probe Microscopy (SPM) / 5.2.1.5：
Atomic Force Microscopy (AFM) / 5.2.1.6：
Super-Resolution Microscopy and DNA-PAINT / 5.2.1.7：
Förster Resonance Energy Transfer (FRET) / 5.2.2：
DNA Origami / 5.3：
Metallized DNA Nanomaterials / 5.4：
DNA-Coated Metal Electrodes / 5.4.1：
Plasmonics and DNA / 5.4.3：
Bioimaging with Nanomaterials, Nanomedicine, and Cytotoxicity / 5.5：
Imaging with Nanomaterials / 5.5.1：
Bioimaging using Quantum Dots (QD) / 5.5.3：
Nanoparticles in Therapeutic Nanomedicine / 5.5.4：
Clinical Nanomedicine / 5.5.4.1：
Some Drugs Formulated into Nanomaterials for Cancer Treatment: Cisplatinum, Platinum(IV) Prodrugs, and Doxorubicin / 5.5.4.2：
Theranostics / 5.6：
Nanoparticle Toxicity / 5.7：
Metals In Medicine, Disease States, Drug Development / 5.8：
Platinum Anticancer Agents / 6.1：
Cisplatin / 6.1.1：
Cisplatin Toxicity / 6.1.1.1：
Mechanism of Cisplatin Activity / 6.1.1.2：
Carboplatin (Paraplatin) / 6.1.2：
Oxaliplatin / 6.1.3：
Other cis-Platinum(II) Compounds / 6.1.4：
Nedaplatin / 6.1.4.1：
Lobaplatin / 6.1.4.2：
Heptaplatin / 6.1.4.3：
Antitumor Active Trans Platinum compounds / 6.1.5：
Platinum Drug Resistance / 6.1.6：
Combination Therapies: Platinum-Containing Drugs with Other Antitumor Compounds / 6.1.7：
Platinum(IV) Antitumor Drugs / 6.1.8：
Satraplatin / 6.1.8.1：
Ormaplatin / 6.1.8.2：
Iproplatin, JM9, CHIP / 6.1.8.3：
Platinum(TV) Prodrugs / 6.1.9：
Multitargeted Platinum(IV) Prodrugs / 6.1.9.1：
Platinum(IV) Prodrugs Delivered via Nanoparticles / 6.1.9.2：
Ruthenium Compounds as Anticancer Agents / 6.2：
Ruthenium(III) Anticancer Agents / 6.2.1：
Ruthenium(II) Anticancer Agents / 6.2.2：
Mechanism of Ruthenium(II) Anticancer Agent Activity / 6.2.3：
Ruthenium Compounds Tested for Antitumor Activity / 6.2.4：
Iridium and Osmium Antitumor Agents / 6.3：
Other Antitumor Agents / 6.4：
Gold Complexes / 6.4.1：
Titanium Complexes / 6.4.2：
Copper Complexes / 6.4.3：
Bismuth Derivatives as Antibacterials / 6.5：
Disease States, Drug Discovery, and Treatments / 6.6：
Superoxide Dismutases (SOD) in Disease States / 6.6.1：
Amyotrophic Lateral Sclerosis / 6.6.2：
Wilson's and Menkes Disease / 6.6.3：
Alzheimer's disease / 6.6.4：
Role of Amyloid ß Protein / 6.6.4.1：
Interactions of Aß Peptides with Metals / 6.6.4.2：
Alzheimer's Disease Treatments / 6.6.4.3：
Other Disease States Involving Metals / 6.7：
Copper and Zinc Ions and Cataract Formation / 6.7.1：
As2O3, used in the Treatment of Acute Promyelocytic Leukemia (APL) / 6.7.2：
Vanadium-based Type 2 Diabetes Drugs / 6.7.3：
Index / 6.8：
Preface
Acknowledgments
Biography
5.

図書
図書
5. Offshore Technology Conference (OTC 2022) : Houston, Texas, USA 2-5 May 2022 (v. 2 : pbk)
Offshore Technology Conference
出版情報: Richardson, Tex. : Offshore Technology Conference , Red Hook, NY : Printed by Curran Associates, 2022  p. 714-1429 ; 28 cm
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6.

図書
図書
6. 2nd International Conference on Microbiome Engineering (ICME 19) : Boston, Massachusetts, USA, 2-4 December 2019 (: pbk)
International Conference on Microbiome Engineering ; American Institute of Chemical Engineers
出版情報: New York : AIChE , Red Hook, NY : Printed from e-media with permission by Curran Associates, 2020. c2019  [3], 40, [2] p. ; 28 cm
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7.

図書
図書
7. AAAI technical tracks : computer vision I (pt. 2)
National Conference on Artificial Intelligence ; Association for the Advancement of Artificial Intelligence
出版情報: Palo Alto, Calif. : Association for the Advancement of Artificial Intelligence , Red Hook, NY : Printed with permission by Curran Associates, 2021  p. 1343-1797 ; 27 cm
シリーズ名: 35th AAAI Conference on Artificial Intelligence (AAAI-21) : online 2-9 February 2021 ; v. 2
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8.

図書
図書
8. Single-particle cryo-EM of biological macromolecules
edited by Robert M Glaeser, Eva Nogales, Wah Chiu
出版情報: Bristol : IOP Publishing, c2021  1 v. ; 27 cm
シリーズ名: Biophysical Society-IOP series
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Editor biographies
Section authors
Introduction and overview / 1：
Visualizing biological molecules to understand life's principles / 1.1：
A brief historical perspective on scattering-based structural biology methods / 1.1.1：
Unique capabilities of cryo-EM: polymers and viruses / 1.1.2：
Unique capabilities of cryo-EM: integral membrane proteins / 1.1.3：
Unique capabilities of cryo-EM: large assemblies / 1.1.4：
Unique capabilities of cryo-EM: scarce samples / 1.1.5：
Unique capabilities of cryo-EM: compositionally heterogeneous samples / 1.1.6：
Unique capabilities of cryo-EM: conformationally complex samples / 1.1.7：
Current limits of cryo-EM and things yet to come / 1.1.8：
Recovery of 3D structures from images of weak-phase objects / 1.2：
The signal that we care about is attributed to elastic scattering of electrons / 1.2.1：
The electron accumulates information as it passes through a specimen / 1.2.2：
The image wave function, and thus the image intensity, suffers from imperfections in the microscope optics / 1.2.3：
Intermediate summary: the image intensity is linear in the projected Coulomb potential of the object / 1.2.4：
Structure-factor phases, as well as amplitudes, are retained in the computed Fourier transforms of image intensities / 1.2.5：
The projection theorem: the Fourier transform of an image corresponds to a 2D 'central' section within the 3D Fourier transform of the object / 1.2.6：
The 3D object can be reconstructed from multiple projections / 1.2.7：
Similarities and differences between sub-tomogram averaging and single-particle cryo-EM / 1.2.8：
References
Sample preparation / 2：
Overview / 2.1：
Initial screening of samples in negative stain / 2.2：
Introduction / 2.2.1：
Negative staining for TEM / 2.2.2：
Purpose of negative staining when starting a project / 2.2.3：
Techniques for the preparation of negatively stained samples / 2.2.4：
Use of data processing to provide feedback to optimize samples for cryo-EM / 2.2.5：
Standard method of making grids for cryo-EM / 2.3：
Grids and support films / 2.3.1：
Plasma cleaning or 'glow discharging' grids / 2.3.2：
Types of apparatus used for plunge freezing / 2.3.3：
Blotting and plunging the grid using plunge freezers / 2.3.4：
Common issues faced in making grids for cryo-EM imaging / 2.3.5：
Requirement to make very thin specimens for cryo-EM / 2.4：
Inelastic electron scattering causes the image quality to deteriorate with increasing sample thickness values / 2.4.1：
The projection approximation may fail if the sample is too thick / 2.4.2：
Areas of a grid where the sample is obviously too thick can, and should be, avoided during data collection / 2.4.3：
Areas where the sample is much too thin, perhaps even air-dried, can sometimes be avoided just on the basis of their subjective appearance / 2.4.4：
Current strategies for optimizing preparation of cryo-grids / 2.5：
Behavior of particles in the thin film environment / 2.5.1：
Approaches to alter particle behavior in the thin film / 2.5.2：
New technologies for sample preparation / 2.5.3：
Data collection / 3：
Radiation damage in cryo-EM / 3.1：
Interaction cross sections, elastic, and inelastic interactions / 3.2.1：
Cryoprotection and primary, secondary, and tertiary radiation damage / 3.2.3：
Radiation damage dependence on electron energy / 3.2.4：
Practical implications of radiation damage: image averaging in cryo-EM / 3.2.5：
Resolution dependence and exposure weighting / 3.2.6：
Radiation damage versus beam-induced motion and charging / 3.2.7：
Low-dose protocols for recording images / 3.3：
Automated low-dose imaging / 3.3.1：
Improving throughput / 3.3.2：
Electron exposure levels used during high-resolution data collection / 3.3.3：
Practical considerations: defocus. stigmation, coma-free illumination, and phase plates / 3.4：
Why do we need to defocus the microscope? / 3.4.1：
Effects of defocus on the image and its information content / 3.4.2：
Defocus variation is necessary to obtain uniform information coverage in reciprocal space / 3.4.3：
Optical correction of astigmatism and coma aberrations / 3.4.4：
Use of phase plates to improve image contrast and the expected benefits / 3.4.5：
Practical considerations: movie-mode data acquisition / 3.5：
Magnification and resolution / 3.5.1：
Dose rate / 3.5.2：
Strategies for motion correction / 3.5.3：
Total dose or exposure time / 3.5.4：
File size of movie datasets / 3.5.5：
Summary / 3.5.6：
Data processing / 4：
Automated extraction of particles / 4.1：
From micrographs to particles / 4.2.1：
Manual selection / 4.2.2：
Unbiased automated approaches / 4.2.3：
Particle extraction / 4.2.4：
Cleaning up the results through classification / 4.2.5：
CTF estimation and image correction (restoration) / 4.3：
CTF estimation / 4.3.1：
Image correction / 4.3.2：
Magnification distortion / 4.3.3：
Concluding remarks / 4.3.4：
Merging data from structurally homogeneous subsets / 4.4：
How many particle images are needed for a 3D reconstruction? / 4.4.1：
Obtaining a 3D reconstruction / 4.4.2：
Acknowledgments
3D classification of structurally heterogeneous particles / 4.5：
Global 3D classification / 4.5.1：
Masked 3D classification / 4.5.3：
3D classification of particles with pseudo-symmetry / 4.5.4：
Dealing with continuous motions / 4.5.5：
Conclusion / 4.5.6：
Preferred orientation: how to recognize and deal with adverse effects / 4.6：
Protein interaction with the air-water interface / 4.6.1：
Preferred orientation and its effects in cryo-EM / 4.6.2：
Quantifying preferred orientation and its effects on cryo-EM reconstructions / 4.6.3：
Overcoming the effects of preferred orientation / 4.6.4：
Areas of research / 4.6.5：
B factors and map sharpening / 4.7：
An ideal 3D reconstruction has a predictable radial amplitude spectrum / 4.7.1：
Actual 3D reconstructions feature dampened amplitudes at high frequencies / 4.7.2：
Several factors contribute to signal decay at high frequencies / 4.7.3：
Gaussian falloff, parametrized by a B factor, is a useful model of signal loss / 4.7.4：
Estimating B factors / 4.7.5：
Sharpening a map / 4.7.6：
A single inverse Gaussian filter using a global B factor does not always lead to the optimal map / 4.7.7：
Optical aberrations and Ewald sphere curvature / 4.8：
Further considerations on the aberration function ¿(s) / 4.8.1：
Common types of aberrations / 4.8.2：
Practical considerations for aberration correction / 4.8.3：
Thick objects and the Ewald sphere / 4.8.4：
Ewald sphere correction / 4.8.5：
Map validation / 5：
Measures of resolution: FSC and local resolution / 5.1：
The 'gold-standard' FSC / 5.2.1：
Resolution thresholds / 5.2.2：
FSC artifacts due to masking, filtration, and CTF / 5.2.3：
Local resolution / 5.2.4：
Resolution anisotropy / 5.2.5：
Recognizing the effect of bias and over-fitting / 5.3：
Introduction and nature of the problem arising from iterative refinement / 5.3.1：
Assessing the consistency of maps with projection data / 5.3.2：
Detecting over-fitting at high resolution in maps and effect on the FSC / 5.3.3：
Local over-fitting / 5.3.4：
Estimates of alignment accuracy / 5.3.5：
Correlation and the signal-to-noise ratio (SNR) / 5.4.1：
Analysis of alignment accuracy with synthetic data / 5.4.2：
The relationship between alignment accuracy and resolution / 5.4.3：
Estimating alignment accuracy from tilt pairs / 5.4.4：
Estimating alignment accuracy from the reconstructed map / 5.4.5：
Estimating alignment accuracy from projection-matching results / 5.4.6：
Discussion / 5.5：
Acknowledgements
Model building and validation / 6：
Using known components or homologs: model building / 6.1：
Identifying known/modeled structures of individual subunits / 6.2.1：
Rigid-body fitting / 6.2.2：
Flexible fitting / 6.2.3：
Building atomistic models in cryo-EM density maps / 6.3：
Building models into cryo-EM density maps / 6.3.1：
Model refinement / 6.3.3：
Model validation / 6.3.4：
Model uncertainty / 6.3.5：
Model deposition / 6.3.6：
Revisiting the cryo-EM model challenge / 6.3.7：
Toward the future / 6.3.8：
Conclusions / 6.3.9：
Quality evaluation of cryo-EM map-derived models / 6.4：
Map-model metrics / 6.4.1：
Model-only metrics / 6.4.3：
Summary and conclusions / 6.4.4：
Acknowledgment
How algorithms from crystallography are helping electron cryo-microscopy / 6.5：
Map improvement / 6.5.1：
Map interpretation and model building / 6.5.3：
Model optimization / 6.5.4：
Validation / 6.5.5：
Validation-guided corrections / 6.5.6：
Archiving structures and data / 6.5.7：
Single-particle cryo-EM structure deposition / 6.6.1：
Preparing files for deposition / 6.6.3：
Data validation / 6.6.4：
Sample sequence and ligands / 6.6.5：
Deposition using OneDep / 6.6.6：
Post-deposition: what happens next? / 6.6.7：
Accessing cryo-EM structure data / 6.6.8：
Editor biographies
Section authors
Introduction and overview / 1：
9.

図書
図書
9. SPE Annual Technical Conference and Exhibition 2019 : Calgary, Canada 30 September-2 October 2019 (v. 2 : pbk)
SPE Technical Conference and Exhibition ; Society of Petroleum Engineers of AIME
出版情報: Richardson, Tex. : Society of Petroleum Engineers , Red Hook, NY : Printed from e-media with permission by Curran Associates, 2020, c2019  p. 737-1473 ; 28 cm
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10.

図書
図書
10. The collected works of Anatole Katok : in 2 volumes (v. 2)
Svetlana Katok...[et al.]
出版情報: Hackensack, NJ : World Scientific Publishing Co. Pte. Ltd., c2024  lxxv, 1309-2540 p. ; 26 cm
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目次情報:
Cohomology and Geometric Rigidity
Measure Rigidity
Cohomology and Geometric Rigidity
Measure Rigidity
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