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The portal is a collection of Arctic science websites covering topics on society, environment, economics, reference and organizations. The portal is designed for use by researchers, decision makers and the general public.

• What is a facelift? History and semantics
• The facial aging
• Facelift anatomy
• Evaluating and understanding the cosmetic surgery patient in the preoperative experience
• The surgical facility
• Facelift and neck lift : the procedure
• Deep plane facelift and deep neck lift
• Abbreviated facelift and neck lift procedures : short scar facelift
• My theory of facelift surgery
• Facelift and neck lift : history and my current deep plane technique
• Minimally invasive management of the neck muscles and cervicomental angle using a percutaneous suture suspension system--MyEllevate
• Facelift complications : recognition, treatment, and prevention.

"Improved surgical techniques and increasing patient expectations have transformed the field of cosmetic facial surgery, and The Art and Science of Facelift Surgery, 2nd Edition, brings you up to speed with today's best and latest procedures. This highly practical resource features a superbly illustrated print reference with step-by-step procedures accompanied by surgical videos of each technique. Comprehensive, easy-to-follow instruction from internationally recognized expert Dr. Joe Niamtu III, with chapters by other internationally recognized colleagues, helps you achieve optimal outcomes on frequently requested procedures"-- publisher's description.

• Sect. 1: Mechanisms of drug action and therapeutic principles
• Sect. 2: Chemical mediators and drugs affecting autonomic and neuromuscular synapses
• Sect. 3: Drug treatment for disorders affecting the central nervous system
• Sect. 4: Drug therapy for pain management
• Sect. 5: Treatment of inflammatory, allergic and immunological disorders
• Sect. 6: Drug treatment for cardiovascular diseases
• Sect. 7: Endocrine pharmacology
• Sect. 8: Chemotherapy
• Sect. 9: Speical considerations.

Brody's Human Pharmacology is a well-established and much-loved textbook that guides students of medicine, pharmacology and other health professions through pharmacology from both basic and clinical perspectives. What can be a very difficult and complex topic is divided into easily digestible chapters, each of which is clearly structured from a therapeutic overview to mechanisms of action, relationships to clinical responses, pharmacokinetics, pharmacovigilance, new developments, and clinical relevance for all health professionals.

Get up to speed on a new unified approach to building machine learning (ML) systems with batch data, real-time data, and large language models (LLMs) based on independent, modular ML pipelines and a shared data layer. With this practical book, data scientists and ML engineers will learn in detail how to develop, maintain, and operate modular ML systems. Author Jim Dowling introduces fundamental MLOps principles and practices for developing and operating reliable ML systems and describes the key data platform that you'll use to build and operate your ML systems: the feature store. Through examples, you'll look at how the feature store helps solve the hardest problem in ML--the data. When building systems, you'll move seamlessly from managing incremental datasets for training and fine-tuning to real-time data access and retrieval-augmented generation for online ML systems. With this book, you'll be able to: Make the leap from training ML models to building ML systems Develop an ML system as modular feature, training, and inference pipelines Design, develop, and operate batch ML systems, real-time ML systems, and fine-tuned LLM systems with retrieval-augmented generation Learn the problems a feature store for ML solves when building ML systems Understand the principles of MLOps for developing and safely updating ML systems Jim Dowling is CEO of Hopsworks and an associate professor at KTH Royal Institute of Technology in Stockholm, Sweden.

How digital social reading apps are powerfully changing -- and nurturing -- the way we read. Conventional wisdom would have us believe that digital technology is a threat to reading, but in "Digital Social Reading," Federico Pianzola argues that reading socially through digital media can help people grow a passion for reading and, in some cases, even enhance text comprehension. Digital social reading (DSR) is a term that encompasses a wide variety of practices related to the activity of reading and using digital technologies and platforms (websites, social media, mobile apps) to share thoughts and impressions about books with others. This book is the first systematization of DSR practices, drawing on case studies from Wattpad, AO3, and Goodreads on a worldwide scale. Using a combination of qualitative and computational methods, Pianzola offers fresh insight into the reading experience on the scale of big data. He discusses the impact of digital technology on reading skills and shows that a change of methodological perspective is necessary to understand the positive potential of DSR for promoting reading more broadly. He argues that it is not just the medium that changes, but also the context and the attitudes of readers. He also believes that grassroots media and open, bottom-up communities are crucial to the success of many reading practices today, especially with young audiences.

• Back
• Upper limb
• Thorax
• Abdomen
• Pelvis and perineum
• Lower limb
• Neck and head

"Grant's Dissector provides step-by-step human cadaver dissection procedures for students to perform the dissections in lab and to recognize important relationships revealed through dissection. Each chapter is consistently organized beginning with a Dissection Overview, followed by detailed Dissection Instructions, and concluding with a Dissection Follow-up. The Dissection Overview provides a blueprint of what needs to be accomplished during the dissection session and includes relevant surface anatomy as well as concise coverage of osteology. Dissection Instructions offer a logical sequence and numbered steps for the dissection. The Dissection Follow-up emphasizes important features of the dissection and encourages students to reflect on and synthesize the information"-- Provided by publisher

An edited collection that explores what emotions we have when encountering robots, how we react emotionally to them in different contexts, and why these emotional responses are so important. Do robots, or the AI that is driving them, have emotions That is a hotly debated topic -- both in science fiction, where such assertions are a staple of the narrative, and in tech development, where it often makes headlines. But what about how we humans emotionally respond to robots Are our emotional responses any less important when it comes to how the robots we encounter today are designed In "How the Robot Made Me Feel," Ericka Johnson asks the authors in this collection to critically examine our emotional and affective responses to robots, and what such an examination would do to the way roboticists use (or toy with) our emotions in their design decisions. The narrative arch of this anthology follows the question of just whose emotions are being engaged through robotic interactions, why, and for what design ends. Of course, the answer is that it is our emotions which are interesting. And these emotions are not universal, despite the historically universalist paradigm of AI and how robotic emotions work. Emotions are contingent, to borrow a commonly used phrase in feminist technoscience. They are placed in space, time, and cultural context. And understanding how they are produced and engaged with will help clarify many of the political aspects of robotic interaction that are currently concealed by the shiny and allegedly neutral surfaces of robots.

How Taiwan rose to global prominence in high tech manufacturing, from computer maker to the world's leading chip manufacturer. How did Taiwan, a former Japanese colony and the last fortress of the defeated Chinese Nationalists, ascend to such heights in high tech manufacturing In Island Tinkerers , Honghong Tinn tells the critical history of how hobbyists and enthusiasts in Taiwan, including engineers, technologists, technocrats, computer users, and engineers-turned-entrepreneurs, helped transform the country with their hands-on engagement with computers. Rather than engaging in wholesale imitation of US sources, she explains, these technologists tinkered with imported computing technology and experimented with manufacturing their own versions, resulting in their own brand of successful innovation. Defying the stereotype of "the West innovates, and the East imitates," Tinn tells the story of Taiwanese technologists' efforts over the past six decades. Beginning in the 1960s, they grappled with the "black-boxed" computers that were newly available through international technical aid programs. Shortly after, multinational corporations that outsourced transistor and integrated circuit assembly overseas began employing Taiwanese engineers and factory workers. Island tinkerers developed strategies to adapt, modify, assemble, and work with computers in an innovative manner. It was through this creative and ingenious tinkering with computers that they were able to gain a better understanding of the technology, opening the door to future manufacturing endeavors that now include Acer, Foxconn, Asus, and Taiwan Semiconductor Manufacturing Company (TSMC).

An empirical approach to constructing macroeconomic models. Macroeconomic Modeling presents an empirically-based approach to the construction of macroeconomic models -- the Cowles Commission approach -- as a response to the backlash that has taken place since the late 1970s to this methodology. The emphasis in the literature has been on tightly specified theoretical models, which lack realism. In this book, Ray Fair develops models to analyze a variety of issues and events in macroeconomics and the U.S economy, and he explains the econometric techniques needed to estimate those models. Many of the results are either contrary to results from the theoretical models or cannot be examined by the theoretical models because they omit many important features of the economy. Fair covers a broad range of topics, including inflation and unemployment; the size of wealth effects; the behavior of the Federal Reserve and its effects on the economy; the effects of fiscal policy; Okun's law; and contractions and expansions. Macroeconomic Modeling will appeal equally to graduate students and researchers as well as macroeconomic policy makers.