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Dirty Girl (Dirty Girl Duet, Book 1)By Meghan March

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[Read by Elena Wolfe and Sebastian York]

From USA Today bestselling author of hot romance comes the first book in the Dirty Girl Duet series.

Desperately seeking rich, famous, single guy with a giant c-ock to make my lying, cheating, should've-been-born-dick-less ex-boyfriend realize what he's just lost.

Oh, and I give great head. Just sayin'.

No man in his right mind would answer that ad.

Except thousands did.

My name is Greer Karas, and I should never be allowed near another bottle of booze again. Because when I drink, my friend and I do stupid things. Like take a page out of my older brother Creighton's playbook and post something completely asinine on the Internet. Waking up with a giant hangover to find my humiliating personal ad has gone viral is not my finest moment.

Cue my look of shock when one of Hollywood's hottest new bad boys, Cavanaugh Westman, comes knocking at my door and drops his pants to prove that he does indeed have a giant c-ock.

What he doesn't have is an explanation for why he disappeared from my life without a word three years ago, only to show up on the big screen two years later, killing bad guys in action flicks.

And now he wants me again.

What the hell do I do now?

• Published on: 2016-05-17
• Formats: Audiobook, CD
• Original language: English
• Number of items: 4
• Dimensions: 5.75" h x 5.25" w x .75" l,
• Running time: 18120 seconds
• Binding: Audio CD
• 1 pages

About the Author
Meghan March has been known to wear camo face paint and tromp around in woods wearing mud-covered boots, all while sporting a perfect manicure. She's also impulsive, easily entertained, and absolutely unapologetic about the fact that she loves to read and write smut. Her past lives include slinging auto parts, selling lingerie, making custom jewelry, and practicing corporate law. Writing books about dirty talking alpha males and the strong, sassy women who bring them to their knees is by far the most fabulous job she's ever had.

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It Could Happen to You, Volume 1 [IT COULD HAPPEN TO YOU V01] [Paperback] Paperback

• Sales Rank: #3449520 in Books
• Published on: 2011-07-01
• Binding: Paperback

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Features of statistical and operational research methods and tools being used to improve the healthcare industry

With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data-driven healthcare analytics in an effort to provide more personalized and smarter healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance healthcare quality and operational efficiency.

Organized into two main sections, Part I features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient-monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part II focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features:

• Contributions from well-known international experts who shed light on new approaches in this growing area

• Discussions on contemporary methods and techniques to address the handling of rich and large-scale healthcare data as well as the overall optimization of healthcare system operations

• Numerous real-world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry

• Plentiful applications that showcase analytical methods and tools tailored for successful healthcare systems modeling and improvement

The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate-level courses typically offered within operations research, industrial engineering, business, and public health departments.

HUI YANG, PhD, is Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests include sensor-based modeling and analysis of complex systems for process monitoring/control; system diagnostics/ prognostics; quality improvement; and performance optimization with special focus on nonlinear stochastic dynamics and the resulting chaotic, recurrence, self-organizing behaviors.

EVA K. LEE, PhD, is Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, Director of the Center for Operations Research in Medicine and HealthCare, and Distinguished Scholar in Health System, Health Systems Institute at both Emory University School of Medicine and Georgia Institute of Technology. Her research interests include health-risk prediction; early disease prediction and diagnosis; optimal treatment strategies and drug delivery; healthcare outcome analysis and treatment prediction; public health and medical preparedness; large-scale healthcare/medical decision analysis and quality improvement; clinical translational science; and business intelligence and organization transformation.

• Sales Rank: #1716062 in Books
• Published on: 2016-08-01
• Original language: English
• Dimensions: 9.50" h x 1.50" w x 6.40" l, 1.47 pounds
• Binding: Hardcover
• 630 pages

From the Back Cover

Features of statistical and operational research methods and tools being used to improve the healthcare industry

With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data-driven healthcare analytics in an effort to provide more personalized and smarter healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance healthcare quality and operational efficiency.

Organized into two main sections, Part I features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient-monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part II focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features:

• Contributions from well-known international experts who shed light on new approaches in this growing area

• Discussions on contemporary methods and techniques to address the handling of rich and large-scale healthcare data as well as the overall optimization of healthcare system operations

• Numerous real-world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry

• Plentiful applications that showcase analytical methods and tools tailored for successful healthcare systems modeling and improvement

The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate-level courses typically offered within operations research, industrial engineering, business, and public health departments.

HUI YANG, PhD, is Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests include sensor-based modeling and analysis of complex systems for process monitoring/control; system diagnostics/ prognostics; quality improvement; and performance optimization with special focus on nonlinear stochastic dynamics and the resulting chaotic, recurrence, self-organizing behaviors.

EVA K. LEE, PhD, is Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, Director of the Center for Operations Research in Medicine and HealthCare, and Distinguished Scholar in Health System, Health Systems Institute at both Emory University School of Medicine and Georgia Institute of Technology. Her research interests include health-risk prediction; early disease prediction and diagnosis; optimal treatment strategies and drug delivery; healthcare outcome analysis and treatment prediction; public health and medical preparedness; large-scale healthcare/medical decision analysis and quality improvement; clinical translational science; and business intelligence and organization transformation.

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“Astonishingly moving.”—Anne Tyler, New York Times Book Review   “A work of exceptional wisdom, maturity, and generosity, one in which the palpable humanity of its characters transcends any considerations of race or sex.”—Washington Post Book World   “There is no limit to the kind of readership to which this novel will appeal.”—Booklist   Avey Johnson—a black, middle-aged, middle-class widow given to hats, gloves, and pearls—has long since put behind her the Harlem of her childhood. Then on a cruise to the Caribbean with two friends, inspired by a troubling dream, she senses her life beginning to unravel—and in a panic packs her bag in the middle of the night and abandons her friends at the next port of call. The unexpected and beautiful adventure that follows provides Avey with the links to the culture and history she has so long disavowed.

• Amazon Sales Rank: #437889 in Books
• Brand: Plume
• Published on: 1984-04-16
• Released on: 1984-04-16
• Original language: English
• Number of items: 1
• Dimensions: 8.00" h x .50" w x 5.30" l,
• Binding: Paperback
• 256 pages

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Review Throwing into suitcases all she brought with her on this Caribbean cruise, Avey Johnson knows she has to go home. She wonders why she has been dreaming of her childhood, of the months of August spent on a small island with her great-aunt. Were these dreams of the Shout Ring and her great-aunt's stories of the slave ships from Africa causing the knots in Avey's stomach? Then, forced to wait overnight in Grenada for the plane home, Avey loses herself in memories of her marriage. It had been a "successful" marriage, taking her from Harlem to Brooklyn to White Plains, New York. But now she feels that her and her late husband's financial gains were made at the cost of their history and passion for life. The next morning, as she walks on the beach in a dream-like trance, emotionally drained from her night of memories, she encounters a man about to leave on his annual trip to his native island of Carriacou. His dancing the Juba dance triggers Avey's memories, and she is talked into going with him. On Carriacou, sixty-five-year-old Avey touches again the feelings of her family, her heritage, and comes to understand, in new ways, traditions she has long forgotten and the importance of knowing - and remembering - her past. -- For great reviews of books for girls, check out Let's Hear It for the Girls: 375 Great Books for Readers 2-14. -- From 500 Great Books by Women; review by Holly Smith

About the Author Paule Mashall is the author of Brown Girl, Brownstones, The Chosen Place, The Timeless People, Praisesong for the Widow, Soul Clap Hands and Sing, Reena and Other Stories, and Daughters. Born and raised in Brooklyn, New York, she is now Professor of English at Virginia Commonwealth University in Richmond, Virginia.

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