The postcrania of the vombatiform marsupial Ilaria illumidens from medial Miocene strata of South Australia are described and compared to those of other vombatiforms, with the observation that Ilaria shares a similar morphology of the manus and pes with living wombats. While this indicates a certain degree of fossorial activity, the size and vertebral morphology of Ilaria argue against a burrowing lifestyle. Another medial Miocene vombatiform, Ngapakaldia tedfordi, is described as having a plesiomorphic vombatiform skeleton similar in many ways to that of phalangeriform possums, but with adaptations for greater size and a plantigrade, terrestrial habitus. Besides stouter and more robust limbs, these adaptations are evident in the concave dorsal surface and laterally facing fibular facet of the astragalus that creates a less flexible upper ankle joint. For this study, a cladistic analysis was made using the postcrania of all the families in the Vombatiformes and several species representing outgroups, in order to establish synapomorphies uniting the group and to evaluate the position of these two genera within it. The results indicate that the ilariids and vombatids probably share a common ancestor, based on the similarity of the metapodials and phalanges, especially the uniquely identical morphology of the proximal metapodial facets. Ngapakaldia's similarity in form to phalangeriform possums reflects the arboreal ancestry of the vombatiform clade and indicates the plesiomorphic state from which the postcrania of other, more specialized vombatiform families (i.e., fossorial wombats and ilariids) are derived.
Applied Computing in Medicine and Health is a comprehensive presentation of on-going investigations into current applied computing challenges and advances, with a focus on a particular class of applications, primarily artificial intelligence methods and techniques in medicine and health. Applied computing is the use of practical computer science knowledge to enable use of the latest technology and techniques in a variety of different fields ranging from business to scientific research. One of the most important and relevant areas in applied computing is the use of artificial intelligence (AI) in health and medicine. Artificial intelligence in health and medicine (AIHM) is assuming the challenge of creating and distributing tools that can support medical doctors and specialists in new endeavors. The material included covers a wide variety of interdisciplinary perspectives concerning the theory and practice of applied computing in medicine, human biology, and health care. Particular attention is given to AI-based clinical decision-making, medical knowledge engineering, knowledge-based systems in medical education and research, intelligent medical information systems, intelligent databases, intelligent devices and instruments, medical AI tools, reasoning and metareasoning in medicine, and methodological, philosophical, ethical, and intelligent medical data analysis. Discusses applications of artificial intelligence in medical data analysis and classifications Provides an overview of mobile health and telemedicine with specific examples and case studies Explains how behavioral intervention technologies use smart phones to support a patient centered approach Covers the design and implementation of medical decision support systems in clinical practice using an applied case study approach
Nursing knowledge and practice is a comprehensive textbook which forms an ideal basis for foundation nursing students. The core emphasis in the organisation and presentation of knowledge in this third edition remains focused on the in-depth knowledge required by nurses to deliver care in the practice setting.The chapter contents encompass knowledge that applies to all branches of nursing e.g. Communication, Confusion, Aggression and Rehabilitation Safety and Risk, Infection Control, Medicines etc. The structure of all chapters is unique in integrating knowledge from subject areas often taught separately in the nursing curriculum. This enables the foundation student to integrate this range of knowledge in making decisions about the delivery of nursing care to patients/clients in all fields of nursing. Exercises are included to encourage reflection on practice and develop critical thinking skills. It also promotes the expansion of professional knowledge through the development of portfolio evidence.Building on the outstanding success of previous editions the authors have drawn extensively on current best evidence, including research, policy and substantial internet based resources, reflecting UK and international perspectives. • Each chapter begins with an overview of the content and concludes with a summary to help evaluate learning • Case studies reflect the diverse range of client needs and care settings of the four nursing branches and help relate theory to practice• Reflective exercises and suggestions for portfolio evidence, along with decision-making activities, promote reflection on personal experience and links to nursing practice using a problem-based approach• Current research is highlighted throughout, demonstrating the evidence-base for practice decisions.• Key web sites, annotated further reading and references encourage readers to pursue contemporary evidence that underpins competency-based practice. Full colour throughout Content fully updated in line with developments in clinical practice, teaching requirements and the evidence-base Free electronic ancillaries on Evolve enhance the knowledge provided in each chapter with additional information, exercises and resources An introductory chapter on ‘Nursing Knowledge and Practice’ explores the role and context of nursing, nationally and internationally, providing foundation information on core knowledge areas common to all nursing curricula.
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