Published August, 2023
By Rishabha Malviya, Arun Kumar Singh and Deepika Yadav
Publisher: John Wiley & Sons Ltd (John Wiley & Sons Inc)
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Published July, 2023
By Kalyna Z. Bezchlibnyk-Butler, Ric M. Procyshyn and David D. Kim
Publisher: Hogrefe Publishing
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The classic reference to psychotropic medications for psychiatrists, psychologists, physicians, pharmacists, and nurses, packed with the latest drugs, completely revised sections, and much more.

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Published July, 2023
By Ning Li, Bin Yu and Caiyun Fu
Publisher: Elsevier (Academic Press Inc)
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Published June, 2023
By Samoon Ahmad
Publisher: Lippincott Williams & Wilkins (Wolters Kluwer Health)
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Published March, 2023
By Sherri Douville
Publisher: Taylor & Francis
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This book helps readers understand how to manage and transcend risks to drive the Quadruple Aim of improved patient experiences, better patient and business outcomes, improved clinician experience, and lower healthcare costs.

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Published March, 2023
By Sherri Douville
Publisher: Taylor & Francis
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This book helps readers understand how to manage and transcend risks to drive the Quadruple Aim of improved patient experiences, better patient and business outcomes, improved clinician experience, and lower healthcare costs.

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Published March, 2023
By David Lisle and Craig Hacking
Publisher: Taylor & Francis
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Imaging for Students delivers step-by-step guidance to the range of imaging techniques available, providing a clear explanation of how each imaging modality actually works, and including information on the associated risks and hazards.

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Published March, 2023
By Peter Atkins, Julio de Paula, George Ratcliffe and Mark Wormald
Publisher: Oxford University Press
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A balanced presentation of the concepts of physical chemistry, and their applications to biology and biochemistry. Written to straddle the worlds of physical chemistry and the life sciences, it shows how the tools of physical chemistry can elucidate biological questions.

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Published March, 2023
By Clive P. Page, Michael J. Parnham, M.J. Parnham, Clive Page, Jacques Bruinvels and M.J. J. Parnham
Publisher: Elsevier (Academic Press Inc)
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Published March, 2023
By Kimberly F. Sellers
Publisher: Cambridge University Press
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This is the first comprehensive introduction to the Conway-Maxwell-Poisson distribution and its contributions in statistical theory and computing in R, including its uses in count data modelling. An essential reference for academics in statistics and data science, as well as quantitative researchers and data analysts in applied disciplines.

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