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Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure.Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value.

How Sex and Gender Impact Clinical Practice: An Evidence-Based Guide to Patient Care enables primary care clinicians by providing a framework to understand differences and better care for patients in

Physiologically Based Pharmacokinetic (PBPK) Modeling: Methods and Applications in Toxicology and Risk Assessment presents foundational principles, advanced techniques and applications of PBPK modelin

Provide quality care for clients from culturally diverse backgrounds! Transcultural Nursing, 8th Edition shows you how to apply assessment and intervention strategies to individuals from a variety of

Ensure you thoroughly understand the most important issues you'll face when entering practice! Loved for its humor, readability, and inviting cartoons, Nursing Today: Transitions and Trends, 10th Edit

Emotion in Posttraumatic Stress Disorder provides an up-to-date review of the empirical research on the relevance of emotions, such as fear, anxiety, shame, guilt, and disgust to posttraumatic stress

Prepare for psychiatric nursing care with this comprehensive, evidence-based text Varcarolis' Foundations of Psychiatric-Mental Health Nursing: A Clinical Approach, 9th Edition makes it easy to understand the complexities of psychiatric disorders and how to provide quality mental and behavioral health care. Clinical chapters follow the nursing process framework and progress from theory to application, preparing you for practice with real-world examples. Other notable features include illustrated explanations of the neurobiology of disorders, DSM-5 criteria for major disorders, and nursing care plans. From clinical nurse specialist and lead author Dr. Margaret Jordan Halter, this bestselling text includes new Next Generation NCLEX(R) content to prepare you for success on your PMHN certification exam.Case Study and Nursing Care Plan boxes include real-life vignettes of patients with specific psychiatric disorders.Evidence-Based Practice boxes describe recent research studies and how thei

Track your performance of clinical nursing skills with convenient checklists! Skills Performance Checklists makes it easy to document and assess your proficiency in all of the more than 200 skills and

Learn the concepts and skills you need to provide excellent nursing care! Fundamentals of Nursing, 10th Edition prepares you to succeed as a nurse by providing a solid foundation in critical thinking,

Saunders Comprehensive Veterinary Dictionary, 5th Edition includes the veterinary technical and scientific words and phrases you might encounter in practice. With well over 60,000 main and subentries

A step-by-step guide to practical care planning and management of a wide variety of clinical case scenarios encountered in the primary and secondary dental care setting. Covering all the core aspects

Are you looking for a new way of learning skills? Do you want to learn how to problem solve and think conceptually? Stein and Hollen’s Concept-Based Clinical Nursing Skills: Fundamental to Advanced co

Elasticity: Theory, Applications, and Numerics, Fourth Edition, continues its market-leading tradition of concisely presenting and developing the linear theory of elasticity, moving from solution methodologies, formulations, and strategies into applications of contemporary interest, such as fracture mechanics, anisotropic and composite materials, micromechanics, nonhomogeneous graded materials, and computational methods. Developed for a one- or two-semester graduate elasticity course, this new edition has been revised with new worked examples and exercises, and new or expanded coverage of areas such as treatment of large deformations, fracture mechanics, strain gradient and surface elasticity theory, and tensor analysis. Using MATLAB software, numerical activities in the text are integrated with analytical problem solutions.Online ancillary support materials for instructors include a solutions manual, image bank, and a set of PowerPoint lecture slides.