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Ocular Surface
This book has been conceived to aid eye care practitioners such as ophthalmologists and optometrists as well as other eye care or research professionals such as biologists, biochemists and medical doctors interested in the Ocular Surface. This text is divided into four main sections. The first section is dedicated towards the anatomy and physiology of the ocular surface (defining ocular surface concept, tear film structure, corneal and conjunctival anatomy, etc.). The second section covers the most common ocular surface disorders (dry eye, anterior and posterior blepharitis, keratitis, ocular allergy, cicatricial conjunctivitis, and the ocular surface alterations related with Glaucoma treatment). The third section delineates the therapeutic care of these disorders, including topical, systemic and surgical treatment options and the fourth section addresses the relationship of the ocular surface and contact lenswear (describing the indications for contact lenses wear, their complications and managing the adverse effects related with contact lens-wear).
Manual de Optometría
1. Agudeza visual -- 2. Sensibilidad al contraste -- 3. Campo visual -- 4. Visión cromática -- 5. Acomodación -- 6.Ametropías -- 7. Miopía -- 8. Hipermetropía -- 9. Astigmatismo -- 10. Presbicia -- 11. Anisometropía y aniseiconía -- 12. Historia clínica en optometría -- 13. Refracción objetiva: retinoscopia -- 14. Refracción subjetiva -- 15. Topografía corneal -- 16. Exploración del polo anterior -- 17. Exploración del fondo de ojo -- 18. Exploración pupilar -- 19. Medida de la presión intraocular -- 20. Musculos extraoculares. Leyes de motilidad -- 21. Desarrollo visual. Ambliopía. Nistagmus -- 22. Estrabismo -- 23. Forias -- 24. Exploración del sistema motor -- 25. Exploración del sistema sensorial -- 26. Relación acomodación-convergencia -- 27. Disfunciones acomodativas -- 28. Sistemas analíticos -- 29. Neutralización del problema binocular -- 30. optometría de atención primaria.
Handbook of the Fundamentals of Financial Decision Making
This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Manageme...
Astigmatism
This book explores the development, optics and physiology of astigmatism and places this knowledge in the context of modern management of this aspect of refractive error. It is written by, and aimed at, the astigmatism practitioner to assist in understanding astigmatism and its amelioration by optical and surgical techniques. It also addresses the integration of astigmatism management into the surgical approach to cataract and corneal disease including corneal transplantation.
El País
None
Federated Learning
How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.
Directory of Graduate Research
Faculties, publications and doctoral theses in departments or divisions of chemistry, chemical engineering, biochemistry and pharmaceutical and/or medicinal chemistry at universities in the United States and Canada.
Statistical Mechanics of Complex Networks
Networks can provide a useful model and graphic image useful for the description of a wide variety of web-like structures in the physical and man-made realms, e.g. protein networks, food webs and the Internet. The contributions gathered in the present volume provide both an introduction to, and an overview of, the multifaceted phenomenology of complex networks. Statistical Mechanics of Complex Networks also provides a state-of-the-art picture of current theoretical methods and approaches.
