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DePuente V: Medical Dosage Calculations
For Dummies

Medical Dosage Calculations For Dummies

The previous edition was well-received by the vitreoretinal surgeon community. It is the premier clinical text on the principles of practical vitreoretinal surgery. This book is designed for the practicing vitreoretinal surgeon intent on learning new techniques, perfecting old techniques, and gaining of mastery of both routine and complex surgical situations.

The previous edition was well-received by the vitreoretinal surgeon community. It is the premier clinical text on the principles of practical vitreoretinal surgery. This book is designed for the practicing vitreoretinal surgeon intent on learning new techniques, perfecting old techniques, and gaining of mastery of both routine and complex surgical situations.

Vitreoretinal Surgical Techniques, Third Edition

Storytelling with Data Box Set

A Guide to Flourishing

Medical Science Educator Handbook

There is a growing need for academic enquiry acknowledging the challenges surrounding successful prescribing for mental health. This book focuses on the act and skills of psychiatric prescribing and its psychosocial context, bringing together differing views on prescribing, assessing the challenges, and identifying useful principles and guidelines together. Covering a multitude of topics including interpreting and handling uncertainty in the clinical evidence, accounting for phases of illness and natural course, collaborating with allied professionals, addressing the meaning of medications, minimising structural barriers to medications; accounting for interactive effects of dietary factors, supplements and alternative remedies, and shared decision-making approaches. Case vignettes and accompanying analysis frame the issues relevant for psychiatric prescribers and offering an approach that strikes a balance between the biological, psychological and social elements of prescribing. For psychiatrists, clinical psychologists and all those involved with the care of patients with mental health conditions.

The How, Why, and Why Not

Prescribing Psychiatric Medications

Enhance your learning and excel in exams with this essential guide to the Level 3 Diploma in Dental Nursing Revision Guide for Level 3 Diploma in Dental Nursing supports trainee dental nurses enrolled on the Level 3 Diploma in Dental Nursing. This guide corresponds to the 11 course units of the diploma and covers essential topics such as preparing for practice, infection control, treatment planning, anatomy, and supporting various dental procedures including imaging, endodontics, and extractions. This revision guide includes: The latest guidance, legislation, and governance within the dental sectorKnowledge questions, diagrams, working activities, and revision tipsGuidance on the end-point assessments and the synoptic testSpecific chapters related to each unit of the courseElements of the learner evidence portfolio that providers are looking for Revision Guide for Level 3 Diploma in Dental Nursing provides supportive information on the units within the qualification and acts as a revision tool to help prepare for formative and summative assessments. It is an invaluable resource for both trainee dental nurses and course providers.

Revision Guide for Level 3 Diploma in Dental Nursing

10 Simple Ways to Feel Great Every Day

Happy Mind, Happy Life

This book is the first one that shows how to accurately and efficiently solve time-varying problems in real-time or online using continuous- or discrete-time zeroing dynamics. The authors provide a comprehensive treatment of the theory of both static and dynamic neural networks. They develop, analyze, model, simulate, and compare zeroing dynamics models for the online solution of numerous time-varying problems, such as root finding, nonlinear equation solving, matrix inversion, matrix square root finding, quadratic optimization, and inequality solving.

Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising in many areas of science, engineering, and business. Compared with conventional gradient neural networks that only deal with static problems of constant coefficient matrices and vectors, the authors’ new method called zeroing dynamics solves time-varying problems. Zeroing Dynamics, Gradient Dynamics, and Newton Iterations is the first book that shows how to accurately and efficiently solve time-varying problems in real-time or online using continuous- or discrete-time zeroing dynamics. The book brings together research in the developing fields of neural networks, neural dynamics, computer mathematics, numerical algorithms, time-varying computation and optimization, simulation and modeling, analog and digital hardware, and fractals.The authors provide a comprehensive treatment of the theory of both static and dynamic neural networks. Readers will discover how novel theoretical results have been successfully applied to many practical problems. The authors develop, analyze, model, simulate, and compare zeroing dynamics models for the online solution of numerous time-varying problems, such as root finding, nonlinear equation solving, matrix inversion, matrix square root finding, quadratic optimization, and inequality solving.

Zeroing Dynamics, Gradient Dynamics, and Newton Iterations

Why Not Nonlinear Algebra: Math, Science, Applications And Funding

Active Learning for Collaborative Practice

Fundamentals of Nursing

While the field of Deep Learning has been advancing at frightening speeds during the last ten years, we do not have a plausible theoretical explanation of its success yet. One can safely say that Deep Learning works, but nobody really understands why. Nevertheless, starting around five years before now, a decent number of theoretical papers specifically concerning neural nets started to emerge at top machine learning venues. This makes us think that the core of Deep Learning theory has already started to crystallize.The goal of the present book is to present these core concepts of Deep Learning theory to readers so that they could directly dive into recent papers of this area. For this purpose, each chapter elaborates a simple model or a classical result in details first and then discusses possible generalizations and more recent developments of the same idea.We have to warn the reader that the present book is not a mathematical manuscript. Not all results here are stated as formal theorems and not all theorems are provided with complete and rigorous proofs. Many of the theorems of the book are proven up to some technical lemmas, while for some there is only a proof sketch. This conforms with the main idea of the book: present and illustrate concepts rather than reproduce all the results.The book, in its present form, covers the following topics: uniform generalization bounds, PAC-bayesian generalization bounds, double descent phenomena, infinitely-wide networks, implicit bias of gradient descent, loss landscape, gradient descent convergence guarantees, and initialization strategies.

Medical Dosage Calculations For Dummies

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