Books, Interests, Links by Science

Formal Science . Computer Science . Computer Systems . Computer Networks

1. Network Programmability and Automation: Skills for the Next-Generation Network Engineer, Jason Edelman
2. Software-Defined Networking (SDN) with OpenStack, Sriram Subramanian
3. SDN: Software Defined Networks: An Authoritative Review of Network Programmability Technologies, Thomas D. Nadeau

Formal Science . Computer Science . Computer Systems . Computer Security and Cryptography 

1. Cryptography Engineering: Design Principles and Practical Applications, Niels Ferguson
2. Applied Cryptography: Protocols, Algorithms and Source Code in C, Bruce Schneier
3. Serious Cryptography: A Practical Introduction to Modern Encryption, Jean-Philippe Aumasson
4. Kerberos: The Definitive Guide: The Definitive Guide, Jason Garman
5. Hadoop Security: Protecting Your Big Data Platform, Ben Spivey
6. Network Security: Private Communications in a Public World (Radia Perlman Series in Computer Networking and Security), Mike Speciner
7. Getting Started with OAuth 2.0: Programming Clients for Secure Web API Authorization and Authentication, Ryan Boyd

Formal Science . Computer Science .  Computer Systems . Computer Architecture and Engineering 

1. Clean Architecture: A Craftsman's Guide to Software Structure and Design (Robert C. Martin Series), Robert C. Martin
2. Building Evolutionary Architectures: Support Constant Change, Neal Ford
3. Cloud Native Infrastructure: Patterns for Scalable Infrastructure and Applications in a Dynamic Environment, Justin Garrison

Formal Science . Computer Science .  Theoretical Computer Science .  Programming Language Theory . Programming Languages

1. Concurrency in Go: Tools and Techniques for Developers, Katherine Cox-Buday
2. Introducing Go: Build Reliable, Scalable Programs, Caleb Doxsey
3. Programming Rust: Fast, Safe Systems Development, Jim Blandy
4. Switching to Angular - Third Edition: Align with Angular version 5 and Google's long-term vision for Angular, Minko Gechev
5. C# 4.0 in a Nutshell: The Definitive Reference, Joseph Albahari
6. An Introduction to Functional Programming Through Lambda Calculus (Dover Books on Mathematics), Greg Michaelson
7. Programming Scala: Scalability = Functional Programming + Objects, Dean Wampler
8. Learning SPARQL: Querying and Updating with SPARQL 1.1, Bob DuCharme
9. Core Java, Volume II--Advanced Features (Core Series Book 2), Cay S. Horstmann
10. Core Java Volume I--Fundamentals (Core Series Book 1), Cay S. Horstmann
11. R Tutorial with Bayesian Statistics Using OpenBUGS, Chi Yau
12. Professional JavaScript for Web Developers, Nicholas C. Zakas
13. Practical Object-Oriented Design in Ruby: An Agile Primer (Addison-Wesley Professional Ruby Series), Sandi Metz
14. Learning Python: Powerful Object-Oriented Programming, Mark Lutz
15. Programming: Principles and Practice Using C++, Bjarne Stroustrup
16. The C++ Programming Language, Bjarne Stroustrup
17. The Art of R Programming: A Tour of Statistical Software Design, Norman Matloff
18. AngularJS, Brad Green
19. R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks), Paul Teetor
20. Programming Pig: Dataflow Scripting with Hadoop, Alan Gates
21. Python in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly)), Alex Martelli
22. Node: Up and Running: Scalable Server-Side Code with JavaScript, Tom Hughes-Croucher
23. Programming Hive: Data Warehouse and Query Language for Hadoop, Edward Capriolo
24. Programming F#: A comprehensive guide for writing simple code to solve complex problems (Animal Guide), Chris Smith
25. The C++ Standard Library: A Tutorial and Reference, Nicolai M. Josuttis
26. C++ Primer Plus (Developer's Library), Stephen Prata
27. JavaScript: The Definitive Guide: Activate Your Web Pages (Definitive Guides), David Flanagan
28. LINQ to Objects Using C# 4.0: Using and Extending LINQ to Objects and Parallel LINQ (PLINQ) (Addison-Wesley Microsoft Technology Series), Troy Magennis
29. Programming Entity Framework, Julia Lerman

Formal Science . Computer Science .  Theoretical Computer Science .  Programming Language Theory . Programming Languages . Application Programming Interfaces

1. GraphQL API Design (API-University Series Book 5), Matthias Biehl
2. OData Programming Cookbook for .NET Developers, Steven Cheng
3. Mastering OpenLDAP: Configuring, Securing and Integrating Directory Services, Matt Butcher

Formal Science . Computer Science . Software Engineering . Software development  . Microservices (Technique)

1. Building Microservices with Go: Develop seamless, efficient, and robust microservices with Go, Nic Jackson
2. Microservice Architecture: Aligning Principles, Practices, and Culture, Irakli Nadareishvili
3. RESTful Web APIs: Services for a Changing World, Leonard Richardson
4. Production-Ready Microservices: Building Standardized Systems Across an Engineering OrganizationSusan J. Fowler
5. Domain-Driven Design: Tackling Complexity in the Heart of Software, Eric Evans
6. REST in Practice: Hypermedia and Systems Architecture, Ian Robinson
7. Building Microservices: Designing Fine-Grained Systems, Sam Newman
8. RESTful Web Services, Leonard Richardson
9. Service Design Patterns: Fundamental Design Solutions for SOAP/WSDL and RESTful Web Services (Addison-Wesley Signature Series (Fowler)), Robert Daigneau
10. RESTful .NET: Build and Consume RESTful Web Services with .NET 3.5, Jon Flanders

Formal Science . Computer Science . Computer Applications . Artificial Intelligence 

1. Neuroplasticity (The MIT Press Essential Knowledge series), Moheb Costandi
2. Machine Learning with Neural Networks: An In-depth Visual Introduction with Python: Make Your Own Neural Network in Python: A Simple Guide on Machine Learning with Neural Networks, Michael Taylor
3. Neural Network Methods for Natural Language Processing (Synthesis Lectures on Human Language Technologies), Yoav Goldberg
4. Artificial General Intelligence: 10th International Conference, AGI 2017, Melbourne, VIC, Australia, August 15-18, 2017, Proceedings (Lecture Notes in Computer Science), Everitt
5. Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Aurélien Géron
6. Superintelligence: Paths, Dangers, StrategiesNick BostromDeep Learning (NONE), Ian Goodfellow
7. Theoretical Aspects of Evolutionary Computing (Natural Computing Series), Kallel
8. Computational Intelligence, Evolutionary Computing and Evolutionary Clustering Algorithms, Terje Kristensen
9. Genetic and Evolutionary Computing: Proceedings of the Tenth International Conference on Genetic and Evolutionary Computing, November 7-9, 2016 Fuzhou ... in Intelligent Systems and Computing, Pan
10. Reinforcement Learning and Approximate Dynamic Programming for Feedback Control (IEEE Press Series on Computational Intelligence), Lewis
11. Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series), Richard S. Sutton
12. Bayesian Reasoning and Machine Learning,  David Barber
13. Computer Vision – ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II (Lecture Notes in Computer Science), Hua
14. Computer Vision And Image Processing, Virender Singh
15. Computer and Machine Vision: Theory, Algorithms, Practicalities, E. R. Davies
16. Feature Extraction and Image Processing for Computer Vision, Mark Nixon
17. Mastering OpenCV with Practical Computer Vision Projects, Daniel Lélis Baggio
18. OpenCV Essentials, Oscar Deniz Suarez
19. Algorithms for Image Processing and Computer Vision, J. R. Parker
20. Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics, Justin Solomon
21. Multiple View Geometry in Computer Vision, Richard Hartley
22. Programming Computer Vision with Python: Tools and algorithms for analyzing images, Jan Erik Solem
23. Computer Vision: Algorithms and Applications (Texts in Computer Science), Richard Szeliski
24. Computer Vision, Simon J. D. Prince
25. Machine Learning With Random Forests And Decision Trees: A Visual Guide For Beginners, Scott Hartshorn
26. Speech and Language Processing, Daniel Jurafsky
27. Fundamentals of Machine Learning for Predictive Data Analytics (The MIT Press), John D. Kelleher
28. Getting Started with TensorFlow, Giancarlo Zaccone
29. Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python), LazyProgrammer
30. Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow (Machine Learning in Python), LazyProgrammer
31. Deep Learning in Python Prerequisites: Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python (Machine Learning in Python), LazyProgrammer
32. Make Your Own Mandelbrot, Tariq Rashid
33. Make Your Own Neural Network, Tariq Rashid
34. Artificial Intelligence: A Modern Approach, 3/e, Stuart Russell
35. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, Pedro Domingos
36. Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks, Jeff Heaton
37. Machine Learning: An Algorithmic Perspective, Second Edition (Chapman & Hall/Crc Machine Learning & Pattern Recognition), Stephen Marsland
38. On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines, Jeff Hawkins
39. Computational Cognitive Neuroscience, Michael Frank
40. Artificial Intelligence for Humans, Volume 2: Nature-Inspired Algorithms, Jeff Heaton
41. Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms, Jeff Heaton
42. A.I. and Genius Machines, Scientific American Editors
43. Machine Learning for Hackers: Case Studies and Algorithms to Get You Started, Drew Conway
44. Pattern Classification: Pattern Classification Pt.1, David G. Stork

Formal Science . Computer Science .  Computer Systems . Concurrent, Parallel and Distributed Systems 

1. Containers in OpenStack: Leverage OpenStack services to make the most of Docker, Kubernetes and Mesos, Pradeep Kumar Singh
2. Openstack for Architects, Michael Solberg
3. Infrastructure as Code: Managing Servers in the Cloud, Kief Morris
4. The Kubernetes Book: Version 2.2 - January 2018, Nigel Poulton
5. Docker Deep Dive, Nigel Poulton
6. Terraform: Up and Running: Writing Infrastructure as Code, Yevgeniy Brikman
7. Kubernetes: Up and Running: Dive into the Future of InfrastructureKelsey Hightower
8. Getting Started with Kubernetes, Jonathan Baier
9. Cloud Architecture Patterns: Using Microsoft Azure, Bill Wilder
10. ZooKeeper: Distributed Process Coordination, Flavio Junqueira
11. Docker: Up & Running: Shipping Reliable Containers in Production, Karl Matthias
12. Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions (Addison-Wesley Signature Series (Fowler)), Gregor Hohpe
13. Distributed Computing Through Combinatorial Topology, Maurice Herlihy
14. Distributed Algorithms: An Intuitive Approach (The MIT Press), Wan Fokkink
15. Learning Spark: Lightning-Fast Big Data Analysis, Holden Karau

Formal Science . Computer Science .  Computer Systems . Computer Storage

1. Software Defined Storage with OpenStack Swift, Joe Arnold

Formal Science . Computer Science . Computer Applications . Blockchain 

1. Blockchain For Dummies (For Dummies (Computers)), Tiana Laurence
2. Blockchain: The History, Mechanics, Technical Implementation And Powerful Uses of Blockchain Technology (blockchain guide, smart contracts, financial technology, blockchain programming), Matthew Adams

Formal Science . Computer Science . Computer Systems . Databases 

1. Microsoft SQL Server 2012 Performance Tuning Cookbook, Ritesh Shah
2. SQL Server 2012 Query Performance Tuning (Expert's Voice in SQL Server), Grant Fritchey
3. SQL Server 2008 Query Performance Tuning Distilled (Expert's Voice in SQL Server), Sajal Dam
4. Microsoft SQL Server 2008 R2 Unleashed, Ray Rankins

Formal Science . Computer Science . Computer Systems . No-SQL Databases 

1. Graph Databases: New Opportunities for Connected Data, Ian Robinson
2. Practical RDF: Solving Problems with the Resource Description Framework, Shelley Powers
3. MongoDB: The Definitive Guide, Kristina Chodorow
4. Cassandra: The Definitive Guide, Eben Hewitt
5. HBase: The Definitive Guide: Random Access to Your Planet-Size Data, Lars George
6. Apache Hadoop YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop 2 (Addison-Wesley Data & Analytics Series), Arun Murthy
7. Hadoop Operations: A Guide for Developers and Administrators, Eric Sammer
8. MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems, Donald Miner
9. Hadoop: The Definitive Guide, Tom White
10. NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence, Pramod J. Sadalage

Formal Science . Computer Science , Software Engineering . Software engineering management 

1. Effective DevOps: Building a Culture of Collaboration, Affinity, and Tooling at Scale, Jennifer Davis
2. Site Reliability Engineering: How Google Runs Production Systems, Betsy Beyer

Formal Science . Computer Science , Software Engineering . Software configuration management 

1. Learning Puppet 4: A Guide to Configuration Management and Automation, Jo Rhett
2. Ansible: Up and Running: Automating Configuration Management and Deployment the Easy Way, Lorin Hochstein
3. Learning Chef: A Guide to Configuration Management and Automation, Mischa Taylor

Formal Science . Computer Science , Software Engineering . Software engineering process 

1. Jenkins: The Definitive Guide: Continuous Integration for the Masses, John Ferguson Smart
2. Ant: The Definitive Guide: Complete Build Management for Java, Steve Holzner
3. Version Control with Git: Powerful tools and techniques for collaborative software development, Jon Loeliger
4. Maven: The Definitive Guide: The Definitive Guide, Sonatype Company
5. Ry's Git Tutorial, Ryan Hodson
6. Puppet Continuous Delivery, Bill Ward
7. Vagrant: Up and Running: Create and Manage Virtualized Development Environments, Mitchell Hashimoto
8. Salt Essentials: Getting Started with Automation at Scale, Craig Sebenik

Formal Science . Computer Science . Computer Systems . Computer Architecture and Engineering 

1. Learning the bash Shell: Unix Shell Programming (In a Nutshell (O'Reilly)), Cameron Newham
2. Software Engineering for Real-Time Systems: Lindentree Edition, Jim Cooling
3. Real-time Operating Systems: Book 1 - The Theory (The engineering of real-time embedded systems), Jim Cooling
4. Real-Time Embedded Systems Fundamentals, Tom Sheppard
5. Real-Time Systems Design and Analysis: Tools for the Practitioner, Phillip A. Laplante
6. Preemptive Kernel Development with Task Management and Switch Based on Priority, Yankee Bush Software LLC
7. Real-time Systems Scheduling 1: Fundamentals (Networks and Telecommunications), Chetto
8. Real-time Systems Scheduling 2: Focuses (Networks and Telecommunications Series), Chetto
9. Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, Byron Ellis
10. The Official Ubuntu Server Book, Kyle Rankin
11. Ubuntu Unleashed 2014 Edition: Covering 13.10 and 14.04, Matthew Helmke
12. Advanced Windows Debugging, Mario Hewardt

Formal Science . Computer Science .  Computer Applications . Enterprise Resource Planning

1. Modeling Business Processes: A Petri Net-Oriented Approach (Information Systems), Wil van der Aalst
2. Process Mining: Discovery, Conformance and Enhancement of Business Processes, van der Aalst
3. Supply Chain Management (4th Edition), Sunil Chopra
4. Enterprise Resource Planning, Bret Wagner
5. Essentials of Business Processes and Information Systems, Simha R. Magal
6. Accounting Information Systems, James A. Hall

Formal Science . Computer Science .  Theoretical Computer Science . Data Structures and Algorithms 

1. The Art of Computer Programming: Volume 3: Sorting and Searching, Donald E. Knuth
2. The Art of Computer Programming, Volume 1, Fascicle 1: MMIX -- A RISC Computer for the New Millennium, Donald E. Knuth
3. The Art of Computer Programming, Volume 4A: Combinatorial Algorithms, Part 1, Donald E. Knuth
4. Art of Computer Programming, Volume 2: Seminumerical Algorithms, Donald E. Knuth
5. The Art of Computer Programming: Volume 1: Fundamental Algorithms, Donald E. Knuth
6. The Boost C++ Libraries, Boris Schäling
7. Effective STL: 50 Specific Ways to Improve Your Use of the Standard Template Library (Addison-Wesley Professional Computing Series), Scott Meyers
8. The Algorithm Design Manual, Steven S Skiena
9. Introduction to Algorithms (The MIT Press), Thomas H. Cormen

Formal Science . Computer Science .  Theoretical Computer Science . Information Theory 

1. An Introduction to Information Theory: Symbols, Signals and Noise (Dover Books on Mathematics), John R. Pierce
2. Advanced Topics in Information Retrieval (The Information Retrieval Series Book 33), Melucci

Formal Science . Computer Science , Software Engineering

1. HTML & XHTML: The Definitive Guide: The Definitive Guide (Definitive Guides), Chuck Musciano
2. Developing Web Widget with HTML, CSS, JSON and AJAX, Rajesh Lal

1. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics), Trevor Hastie
2. Big Data Analytics Beyond Hadoop: Real-Time Applications with Storm, Spark, and More Hadoop Alternatives (FT Press Analytics), Vijay Srinivas Agneeswaran

Science

1. A Look Back: The Best of 2012, Scientific American Editors

Empirical Science . Natural science , Physics . 

1. Physics, Jackson PhD
2. Physics of the Future: How Science Will Shape Human Destiny and Our Daily Lives by the Year 2100, Michio Kaku
3. Causality, Judea Pearl

Empirical Science .  Natural science . Physics . Classical

1. Principles of Electrodynamics (Dover Books on Physics), Melvin Schwartz
2. Electrodynamics and Classical Theory of Fields and Particles (Dover Books on Physics), A. O. Barut
3. Classical Dynamics (Dover Books on Physics), Donald T. Greenwood
4. Classical Mechanics: 2nd Edition (Dover Books on Physics), H.C. Corben

Empirical Science . Natural science , Physics . Modern

1. Introduction to Quantum Mechanics with Applications to Chemistry (Dover Books on Physics), Linus Pauling
2. Modern Quantum Chemistry: Introduction to Advanced Electronic Structure Theory (Dover Books on Chemistry), Attila Szabo
3. Quantum Physics For Dummies, Steven Holzner
4. String Theory For Dummies, Andrew Zimmerman Jones
5. QED: The Strange Theory of Light and Matter, Richard Feynman
6. Introducing Particle Physics: A Graphic Guide (Introducing...), Tom Whyntie
7. Introducing Quantum Theory: A Graphic Guide (Introducing...), J.P. McEvoy
8. The Quantum World: Quantum Physics for Everyone, Kenneth W. Ford
9. String Theory: Volume 2, Superstring Theory and Beyond, Joseph Polchinski
10. String Theory: Volume 1, An Introduction to the Bosonic String, Joseph Polchinski
11. What Is Relativity?: An Intuitive Introduction to Einstein's Ideas, and Why They Matter, Jeffrey Bennett
12. The Einstein Theory of Relativity, H.A. Lorentz
13. A Brief History of Time, Stephen Hawking
14. The Elegant Universe: Superstrings, Hidden Dimensions, and the Quest for the Ultimate Theory, Brian Greene
15. The Higgs Boson: Searching for the God Particle, Scientific American Editors
16. A Question of Time, Scientific American Editors
17. Quantum Theory (Dover Books on Physics), David Bohm
18. Ideas And Opinions, Albert Einstein
19. Schaum's Outline of Quantum Mechanics, Second Edition (Schaum's Outlines), Yoav Peleg

Empirical Science . Natural science , Physics . Astrophysics

1. Possibilities in Parallel: Seeking the Multiverse, Scientific American Editors
2. The Philosophy of Space and Time (Dover Books on Physics), Hans Reichenbach
3. The illustrated theory of everything: The Origin and Fate of the Universe, Stephen W. Hawking
4. Parallel Worlds: A Journey Through Creation, Higher Dimensions, and the Future of the Cosmos, Michio Kaku
5. The Hidden Reality: Parallel Universes and the Deep Laws of the Cosmos, Brian Greene
6. The Fabric of the Cosmos: Space, Time, and the Texture of Reality, Brian Greene

Empirical Science . Natural science , Physics . Theoretical

1. Theoretical Physics (Dover Books on Physics), Georg Joos

Empirical Science . Natural science , Biology

1. Biology (Quick Study: Academic), Randy Brooks PhD
2. Neuroscience For Dummies, Frank Amthor
3. The Selfish Gene: 40th Anniversary edition (Oxford Landmark Science), Richard Dawkins
4. Genetics: From Genes to Genomes (Hartwell, Genetics), Leland Hartwell
5. The Future of the Mind: The Scientific Quest to Understand, Enhance, and Empower the Mind, Michio Kaku
6. Neuroscience: Exploring the Brain, Mark F. Bear
7. How to Create a Mind: The Secret of Human Thought Revealed, Ray Kurzweil
8. Genomes 3, Brown
9. Molecular Biology of the Cell, 5th EditionBruce Alberts
10. Fundamental Neuroscience, Squire
11. Mobile DNA: Finding Treasure in Junk (FT Press Science), Haig H. Kazazian
12. Genome: The Autobiography of a Species in 23 Chapters, Matt Ridley
13. Remember When?: The Science of Memory, Scientific American Editors
14. Forever Young: The Science of Aging, Scientific American Editors
15. Delphi Complete Works of Charles Darwin (Illustrated) (Series Five Book 22), Charles Darwin

Empirical Science . Natural science , Chemistry

1. Chemistry, Mark D. Jackson PhD
2. Organic Chemistry, L. G. Wade
3. Chemistry: The Central Science, Theodore E. Brown
4. Biochemistry, Jeremy M. Berg

Empirical Science . Social Science . Economics

1. Microeconomics (Quickstudy: Business), John C. Mijares Ph.D
2. Macroeconomics (Quickstudy: Business), John C. Mijares Ph.D
3. Game Theory: An Introduction, Steven Tadelis
4. Networks, Crowds, and Markets, David Easley
5. Game Theory 101: The Complete Textbook, William Spaniel
6. Games and Decisions: Introduction and Critical Survey (Dover Books on Mathematics), R. Duncan Luce

Empirical Science . Social Science . Sociology

1. Sociology: Exploring the Architecture of Everyday LifeNewman David M.Sociology, John J. Macionis
2. Essentials of Sociology, James M. Henslin

Empirical Science . Social Science . Psychology

1. Unmasking The Face, Wallace V. Friesen
2. What Every BODY is Saying: An Ex-FBI Agent’s Guide to Speed-Reading People, Joe Navarro
3. The Definitive Book of Body Language: The Hidden Meaning Behind People's Gestures and Expressions, Barbara Pease
4. Get the Truth: Former CIA Officers Teach You How to Persuade Anyone to Tell All, Philip Houston
5. Spy the Lie: Former CIA Officers Teach You How to Detect Deception, Philip Houston

Empirical Science . Social Science . Anthropology 

1. Anthropology, Carol R. Ember

Empirical Science  . Social Science . Education

1. The Science of Education: Back to School, Scientific American

Empirical Science . Applied science . Medicine

1. Williams Textbook of Endocrinology E-Book, Shlomo Melmed
2. Eat Fat, Get Thin: Why the Fat We Eat Is the Key to Sustained Weight Loss and Vibrant Health, Hyman M.D.
3. The Blood Sugar Solution 10-Day Detox Diet: Activate Your Body's Natural Ability to Burn Fat and Lose Weight Fast, Hyman M.D.
4. Understanding Autism: The Search for Answers, Scientific American Editors
5. Basic Immunology Updated Edition E-Book: Functions and Disorders of the Immune System (Basic Immunology: Functions and Disorders of the Immune System), Abul K. Abbas

Empirical Science . Applied science . Engineering

1. The Future of Energy: Earth, Wind and Fire, Scientific American Editors