Monday, December 26, 2011

Ebook , by Patricia Cornwell

Ebook , by Patricia Cornwell

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, by Patricia Cornwell

, by Patricia Cornwell


, by Patricia Cornwell


Ebook , by Patricia Cornwell

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, by Patricia Cornwell

Product details

File Size: 549361 KB

Print Length: 570 pages

Page Numbers Source ISBN: 1503936872

Publisher: Thomas & Mercer (February 28, 2017)

Publication Date: February 28, 2017

Language: English

ASIN: B01F733S30

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Amazon Best Sellers Rank:

#7,816 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

The book itself is probably interesting - if I could actually get all of it to download.I'm reading it on the Kindle app on my phone.I've tried turning the special effects function on, and off again, nothing works.Amazon, you really screwed this up!

This is a work of nonfiction, not a novel. In it, Patricia Cornwell restates her highly speculative assertion (as previously presented in her two earlier NF books: PORTRAIT OF A KILLER and CHASING THE RIPPER) that Walter Sickert, a famous British painter, was also the infamous Jack-the-Ripper. While she succeeds in demonstrating that Sickert was highly eccentric (but which truly great artist isn't to some extent?) she does NOT succeed in PROVING that he was a murderer, let alone that he was the notorious Ripper. Yes, there is typical and quite interesting -- though questionable -- Cornwellian forensic "evidence" presented, but even that cannot overcome other factors that would tend to make him a dubious suspect if not preclude him altogether. Much of this book is thus sheer conjecture and innuendo, but making the same argument over and over again doesn't necessarily make it any truer with each repetition. That Sickert COULD have been Jack doesn't mean he really WAS (as Cornwell asserts), unless there is solid proof. That level of proof is not here presented.I have read numerous other books about the Ripper murders over a long lifetime, more than a few of which also claimed to identify the "real" Jack; some of them actually made very compelling arguments for THEIR (varied and different) candidates. Rather recently, Russell Edwards in NAMING JACK THE RIPPER used forensic DNA evidence to support HIS candidate; I distrust some of his methodology and I am not recommending his book, but I do tend to be more inclined to believe his choice of perpetrator (someone who was frequently identified in the past by others as well). But being "more inclined" doesn't mean I am in any way fully convinced.Cornwell's book, while it was fascinating to read, also left me unconvinced; she tries too hard and passionately to be convincing but ultimately isn't. Of course, YOU might decide otherwise -- so by all means GIVE THE BOOK A TRY AND MAKE UP YOUR OWN MIND. After all, it IS well-written, and whether she's right or wrong, or whether you agree with her or not, it's still an intriguing case to read about, ponder, and discuss. In so doing, however, you may ALSO choose to read a more comprehensive work (such as THE COMPLETE JACK THE RIPPER by Donald Rumbelow), one that provides OBJECTIVE and IMPARTIAL information about ALL the possible Ripper suspects. You may be surprised at how your initial predilection for any one candidate (whether Sickert or someone else) might, ultimately, be swayed by examining other strong contenders.Again, Cornwell's book is worth reading, but, when all is said and done, the mystery of Jack-the-Ripper's true identity still remains unsolved (and maybe -- given corrupted and questionable evidence, such as even exists after all these years -- never will be resolved to everyone's satisfaction).ADDENDUM: If you are concerned about whether or not this book is worth purchasing (even at its low price) in light of Cornwell's previous ones you may have already read covering this same topic, remember this: If you purchase this as an ebook from the Kindle Store, read it within 7 days, and WITHIN THAT 7-DAY PERIOD decide it is not to your liking FOR ANY REASON, simply call Amazon customer support at 1-866-321-8851 (toll free) to return/remove it for a FULL REFUND. That way you cannot consider yourself gypped if you decide this was a less-than-honest effort to merely sell another book on a subject the author already covered. I do, however, think you will be pleased enough by this book -- whether you agree with Cornwell or not -- to keep it.

Surprisingly poor investigative reasoning from someone who ought to know better. Ms. Cornwell is so wedded to her theory that she is completely blinded to its flaws. On nearly every page there's an "aha" moment that turns into a "wha?" moment, thanks to the lack of evidentiary support for her logical leaps. There are much finer and less biased accounts out there - don't waste your time and money on this one.

Cornwell's work on the Ripper is entertaining - not in the manner of a master detective putting the pieces together. More in the manner of an eccentric aunt who comes to family get-togethers once every few years and, after drinking a few glasses of wine, will tell you exactly who killed Kennedy and why with the authority of someone who was there even though she wasn't born at the time.Cornwell's entire case is subjective and her facts are mostly insinuation.In fact, her book should be taught in classrooms as a classic example of how to create propaganda. She conflates Sickert and the Ripper constantly - not even separating the two in the most basic sense of the persona of the Ripper vs the persona of Sickert. Often she'll use the name Sickert when referring to the Rippers actions and call Sickert the Ripper when referring to Sickert's known actions. It was a little confusing at times.Facts about Sickert are placed next to possible activities of the Ripper - one example that made me laugh out loud is a bloody bakers knife that might have been from a Ripper crime next to "Sickert loved to bake". That sounds like evidence to me. Jeez.Its hard to say how she came to her conclusions about Sickert's inner life and relationships. Quotes about him are usually completely decontextualized - in one section a whole sentence is made out of multiple one or two word quotes. She does have a good explanation as to why she doesn't quote more extensively (the people who control these sources wouldn't give permission). I'd be more inclined to believe her version of these stories but her whole perspective of Sickert seems to be colored by the intense emotional response she had to his paintings. I looked at many of the paintings she references and I have to say I do NOT see what she sees.Suddenly everything is evidence of guilt, even stuff that was common (Sickert was intrigued by the Ripper, snubbed Oscar Wilde after his imprisonment and owned a red kerchief) and a few things that contradicted. Sickert didn't regularly date or mark location on his letters. SNEAKY. Sickert regularly made dated drawings that showed exactly where he was. Oh slipped up! He could have been near some Ripper killings. Sickert was a germophobe. Ripper probably killed in a manner that would make it easier to avoid bodily fluids. Ripper wrapped body parts in newspaper. Sickert wrapped paintings in newspaper. Sickert had multiple art studios. No one knew their locations so now they're bolt holes. Maybe they're near the murders? Who knows? Sounds incriminating to me. Ripper might have worn disguises. Sickert had a habit of wearing disguises. I mean, really?Supposedly she showed her evidence to an officer who said she had enough for a search warrant. I'd like to know what evidence that was, because I see no evidence.There are a few interesting points she makes. Its probable that Sickert (or someone close to him) wrote a couple of "Ripper letters". This isn't really surprising - based on what I've read about the time period Ripper letters were the Twitter parody accounts of the time. I've read at least one contemporary account (that unfortunately I don't remember the source for) that casually mentioned a relative who wrote Ripper letters and then watched for them in the papers. Its only significant because Cornwell has decided that most of the Ripper letters are "real". Her evidence? A handwriting expert that determined that most of the letters were written by the same person imitating different hands. Bizarrely in the book she actually points out at some length that handwriting isn't a science but still uses this determination as authorative. She doesn't appear to worry about or discuss any letters that she can't directly examine except for the From Hell letter (which is the most likely to be "legitimate" due to the included kidney).It does appear there were more Ripper killings that commonly acknowledged though I don't agree with all of the killings she places under that umbrella (usually due to the killings closeness to where Sickert might have been) and it does seem likely that some of the Ripper letters might have been written by other killers who were either copycats or triggered into fulfilling murderous desires after reading the detailed newspaper accounts. But her conclusions that all of them are legitimate is a stretch.There's also a strange undercurrent of anti-intellectualism. She lists off the many languages Sickert knew as if they were evidence. She claims very basic rhymes in Ripper letters are "too clever for an illiterate." Whenever she hits an investigative dead end she treats it like a purposeful act of the Ripper - as if he predicted her investigation and the kind of technology we'd have today.Cornwell appears to dislike Sickert intensely. I'm sure she would crisply say that she dislikes Sickert because she dislikes murderers. She handwaves away all arguments against her beliefs as people defending Sickert for their own reasons. I've heard some cynical views of why she's so intense on this issue (she did buy a lot of Sickert art and memorabilia before publishing her first book) - I tend to think she's a true believer.I'm not going to say Sickert was an angel - if her account is to be believed (and I'm not sure it is) it sounds like Sickert was a deeply unpleasant man who had his share of secrets. I suppose this book doesn't DISPROVE anything and Sickert has been linked to the Ripper murders before. But men have been cold to their wives, told wild third hand tales about famous murderers, and had strange habits without being murderers throughout human history. Even her most compelling evidence requires accepting a lot of assumptions.Anyway this is an entertaining book - even a thought provoking one. If you enjoy conspiracy theories as thought experiments this might be up your alley.

This book is an embellishment of Cornwell's previous book on the same topic- her thesis that artist Sir Walter Sickert was Jack the Ripper. The original was an informative account of the notorious London murderer, whose identity remains unknown, and contained some interesting circumstantial suggestions that Walter Sickert was the culprit.This book describes her subsequent attempts to prove her theory. It adds more circumstantial hints and even some extremely tenuous 'evidence' but it is really a hotch potch of anecdotes, a patchwork history of contemporary lives, and innuendo. She may believe passionately in her idea but it's time for her to drop it. Walter Sickert deserves better than to be maligned without a shred of proof.I enjoyed her first book, but found this one strangely offensive. Cornwell's obsession isn't worth the read.

I have never seen so many "what if's", "Possiblys" and "Could haves" in a book. I like Patricial Cornwell very much but I just couldn't get into the speculation.

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Download PDF My Double LifeBy Janette Rallison

Download PDF My Double LifeBy Janette Rallison

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My Double LifeBy Janette Rallison

My Double LifeBy Janette Rallison


My Double LifeBy Janette Rallison


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My Double LifeBy Janette Rallison

Her whole life, Alexia Garcia has been told that she looks just like rock star Kari Kingsley. But being a famous person's doppelganger hasn't turned out to be the teen fantasy you'd expect. People look at Alexia like she must be as ditzy as her counterpart. One day when Alexia's photo filters through the Internet, she's offered a job as Kari's double. This would seem like the opportunity of a lifetime--or at least a way to make some fast cash--but Alexia's mother has always warned her against celebrities. They can't be trusted. They'll use her.

Alexia can't resist the siren call of fame. Who could say no to Hollywood, hot guys, and . . . um, did we mention hot guys already? She flies off to L.A. and gets immersed in a celebrity life. Not only does she have to get used to getting anything she wants, she also romances the hottest lead singer on the charts and finds out that her own father is a singing legend. Through it all, Alexia must stay true to herself, which is hard to do when you are pretending to be somebody else!

This Prince and the Pauper retelling is teen comedy at its best.

Publishers Weekly has called Janette's YA contemporary romances "Hilarious."

  • Published on: 2013-05-12
  • Released on: 2013-05-12
  • Format: Kindle eBook

From School Library Journal
Gr 7-10–Half-Latina Alexia Garcia lives in Morgantown, WV, with her mother, a hotel housekeeping supervisor, and her grandmother. Now 18, she has long wondered about the identity of her father. After seeing Lexi's picture on the web, rock star Kari Kingsley's publicist asks Lexi to play Kari in concerts so she can complete an album. The reason that the teens so closely resemble one another is gradually revealed: they have the same father, a famous musician who was attracted to Lexi's mother because she reminded him of his deceased first wife and never knew she had his child. Although Lexi doubts the ethics of subbing for Kari in concerts, she does it to meet her dad. Being a stand-in is hard work and Lexi can barely leave the publicist's apartment–no one is to know she exists. That doesn't stop her from running into her idol, Grant Delray, and they fall in love. Tabloids run pictures of Lexi (in her Kari persona) with Grant, and she ends up in major trouble. When she finally encounters her dad, he's furious that an imposter has been playing his daughter. Amazingly, everything is tied up neatly. This novel doesn't do anything new with the fantasy of becoming a celebrity or being the daughter of one. It's pleasant but convoluted and its feel-good ending doesn't ring true.Tina Zubak, Carnegie Library of Pittsburgh, PA
© Copyright 2010. Library Journals LLC, a wholly owned subsidiary of Media Source, Inc. No redistribution permitted.

Review
"Good, clean, "Pop Star and the Pauper" fun." --Kirkus

About the Author
Janette Rallison is the author of the bestselling All’s Fair in Love, War and High School and a number of popular romantic comedies. She lives in Chandler, Arizona.

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Monday, December 5, 2011

Ebook Free Mastering Data Modeling: A User-Driven ApproachBy John Carlis

Ebook Free Mastering Data Modeling: A User-Driven ApproachBy John Carlis

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Mastering Data Modeling: A User-Driven ApproachBy John Carlis

Mastering Data Modeling: A User-Driven ApproachBy John Carlis


Mastering Data Modeling: A User-Driven ApproachBy John Carlis


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Mastering Data Modeling: A User-Driven ApproachBy John Carlis

Data modeling is one of the most critical phases in the database application development process, but also the phase most likely to fail. A master data modeler must come into any organization, understand its data requirements, and skillfully model the data for applications that most effectively serve organizational needs.


Mastering Data Modeling is a complete guide to becoming a successful data modeler. Featuring a requirements-driven approach, this book clearly explains fundamental concepts, introduces a user-oriented data modeling notation, and describes a rigorous, step-by-step process for collecting, modeling, and documenting the kinds of data that users need.


Assuming no prior knowledge, Mastering Data Modeling sets forth several fundamental problems of data modeling, such as reconciling the software developer's demand for rigor with the users' equally valid need to speak their own (sometimes vague) natural language. In addition, it describes the good habits that help you respond to these fundamental problems. With these good habits in mind, the book describes the Logical Data Structure (LDS) notation and the process of controlled evolution by which you can create low-cost, user-approved data models that resist premature obsolescence. Also included is an encyclopedic analysis of all data shapes that you will encounter. Most notably, the book describes The Flow, a loosely scripted process by which you and the users gradually but continuously improve an LDS until it faithfully represents the information needs. Essential implementation and technology issues are also covered.

  • Sales Rank: #1058878 in Books
  • Published on: 2000-11-19
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.10" h x .90" w x 7.20" l, 1.49 pounds
  • Binding: Paperback
  • 416 pages

From the Inside Flap

This book teaches you the first step of creating software systems: learning about the information needs of a community of stran

This book teaches you the first step of creating software systems: learning about the information needs of a community of strangers. This book is necessary because that step--known as data modeling--is prone to failure.

This book presumes nothing; it starts from first principles and gradually introduces, justifies, and teaches a rigorous process and notation for collecting and expressing the information needs of a business or organization.

This book is for anyone involved in the creation of information-management software. It is particularly useful to the designers of databases and applications driven by database management systems.

In many regards, this book is different from other books about data modeling. First, because it starts from first principles, it encourages you to question what you might already know about data modeling and data-modeling notations. To best serve users, how should the process of data modeling work? To create good, economical software systems, what kind of information should be on a data model? To become an effective data modeler, what skills should you master before talking with users?

Second, this book teaches you the process of data modeling. It doesn’t just tell you what you should know; it tells you what to do. You learn fundamental skills, you integrate them into a process, you practice the process, and you become an expert at it. This means that you can become a "content-neutral modeler," moving gracefully among seemingly unrelated projects for seemingly unrelated clients. Because the process of modeling applies equally to all projects, your expertise becomes universally applicable. Being a master data modeler is like being a master statistician who can contribute to a wide array of unrelated endeavors: population studies, political polling, epidemiology, or baseball.

Third, this book does not focus on technology. Instead, it maintains its focus on the process of discovering and articulating the users’ information needs, without concern for how those needs can or should be satisfied by any of the myriad technological options available. We do not completely ignore technology; we frequently mention it to remind you that during data modeling, you should ignore it. Users don’t care about technology; they care about their information. The notation we use, Logical Data Structures (LDS), encourages you to focus on users’ needs. We think a data modeler should conceal technological details from users. But historically, many data modelers are database designers whose everyday working vocabulary is steeped in technology. When technologists talk with users, things can get awkward. In the worst case, users quit the conversation, or they get swept up in the technological details and neglect to paint a complete picture of their technology-independent information needs. Data modeling is not equivalent to database design.

Another undesirable trend: historically, many organizations wrongly think that data modeling can be done only by long-time, richly experienced members of the organization who have reached the status of "unofficial archivist." This is not true. Modeling is a set of skills like computer programming. It can be done by anyone equipped with the skills. In fact, a skilled modeler who is initially unfamiliar with the organization but has access to users will produce a better model than a highly knowledgeable archivist who is unskilled at modeling.

This book has great ambitions for you. To realize them, you cannot read it casually. Remember, we’re trying to foster skills in you rather than merely deliver knowledge to you. If you master these skills, you can eventually apply them instinctively.

Study this book the way you would a calculus book or a cookbook. Practice the skills on real-life problems. Work in teams with your classmates or colleagues. Write notes to yourself in the margins. An ambitious book like this, well, we didn’t just make it up. For starters, we are indebted to Michael Senko, a pioneer in database systems on whose work ours is based. Beyond him, many people deserve thanks. Most important are the many users we have worked with over the years, studying data: Gordon Decker; George Bluhm and others at the U. S. Soil Conservation Service; Peter O’Kelly and others at Lotus Development Corporation; John Hanna, Tim Dawson, and other employees and consultants at US WEST, Inc.; Jim Brown, Frank Carr, and others at Pacific Northwest National Laboratory; and Jane Goodall, Anne Pusey, Jen Williams, and the entire staff at the University of Minnesota’s Center for Primate Studies. Not far behind are our students and colleagues. Among them are several deserving special thanks: Jim Albers, Dave Balaban, Leone Barnett, Doug Barry, Bruce Berra, Diane Beyer, Kelsey Bruso, Jake Chen, Paul Chapman, Jan Drake, Bob Elde, Apostolos Georgopolous, Carol Hartley, Jim Held, Chris Honda, David Jefferson, Verlyn Johnson, Roger King, Joe Konstan, Darryn Kozak, Scott Krieger, Heidi Kvinge, James A. Larson, Sal March, Brad Miller, Jerry Morton, Jose Pardo, Paul Pazandak, Doug Perrin, John Riedl, Maureen Riedl, George Romano, Sue Romano, Karen Ryan, Alex Safonov, Wallie Schmidt, Stephanie Sevcik, Libby Shoop, Tyler Sperry, Pat Starr, Fritz Van Evert, Paul Wagner, Bill Wasserman, George Wilcox, Frank Williams, Mike Young, and several thousand students who used early versions of our work. Thanks also go to Lilly Bridwell-Bowles of the Center for Interdisciplinary Studies of Writing at the University of Minnesota. Several people formally reviewed late drafts of this book and made helpful suggestions:Declan Brady, Paul Irvine Matthew C. Keranen, David Livingstone, and David McGoveran. And finally, thanks to the helpful and pat ent people at Addison-Wesley. Paul Becker, Mariann Kourafas, Mary T. O ’Brien, Ross Venables, Stacie Parillo, Jacquelyn Doucette, the copyeditor, Penny Hull, and the indexer, Ted Laux. How to Use This Book

To study this book rather than merely read it, you need to understand a bit about what kind of information it contains. The information falls into eight categories.

Introduction and justification. Chapters 1 and 2 define the data-modeling problem, introduce the LDS technique and notation, and describe good habits that any data modeler should exhibit. Chapters 22 and 24 justify in more technical detail some of the decisions we made when designing the LDS technique and notation.
Definitions. Chapter 4 defines the vocabulary you need to read everything that follows. Chapter 13 defines things more formally--articulating exactly what constitutes a syntactically correct LDS. Chapter 23 presents a formal definition of our Logical Data Structures in a format we especially like--as an LDS.
Reading an LDS. Chapter 3 describes how to translate an LDS into declarative sentences. The sentences are typically spoken to users to help them understand an in-progress LDS. Chapter 5 describes how to visualize and annotate sample data for an LDS.
Writing an LDS. Chapter 13 describes the syntax rules for writing an LDS. Chapter 14 describes the guidelines for naming the parts of an LDS. Chapter 15 describes some seldom-used names that are part of any LDS. Chapter 16 describes how to label parts of an LDS. (Labels and names differ.) Chapter 17 describes how to document an LDS.
LDS shapes and recipes. Chapter 7 introduces the concept of shapes and tells how your expertise with them can make you a master data modeler. Chapters 8 through 12 give an encyclopedic, exhaustive analysis of the shapes you will encounter as a data modeler. Chapter 26 describes some recipes--specific applications of the shapes to common problems encountered by software developers and database designers.
Process of LDS development. Chapters 6 and 21 give elaborate examples of the process of LDS development. Chapter 18 describes a step-by-step script, called The Flow, that you follow in your conversations with users. Chapters 19 and 20 describe steps you can take to improve an in-progress LDS at any time--steps that do not fit into the script in any particular place because they fit in every place. Considered as a whole, Chapters 18 through 20 describe the process of controlled evolution, the process by which you guide the users through a conversation that gradually improves the in-progress LDS. "Controlled" implies that the conversation is organized and methodical. "Evolution" implies that the conversation yields a continuously, gradually improving data model.
Implementation and technology issues. Chapter 22 describes in detail the forces that compel us to exclude constraints from the LDS notation. Many of these forces stem from implementation issues. Chapter 25 describes a technique for creating a relational schema from an LDS.
Critical assessment of the LDS technique and notation. Chapter 24 describes the decisions we made in designing the LDS technique and notation and

From the Back Cover

Data modeling is one of the most critical phases in the database application development process, but also the phase most likely to fail. A master data modeler must come into any organization, understand its data requirements, and skillfully model the data for applications that most effectively serve organizational needs.

Mastering Data Modeling is a complete guide to becoming a successful data modeler. Featuring a requirements-driven approach, this book clearly explains fundamental concepts, introduces a user-oriented data modeling notation, and describes a rigorous, step-by-step process for collecting, modeling, and documenting the kinds of data that users need.

Assuming no prior knowledge, Mastering Data Modeling sets forth several fundamental problems of data modeling, such as reconciling the software developer's demand for rigor with the users' equally valid need to speak their own (sometimes vague) natural language. In addition, it describes the good habits that help you respond to these fundamental problems. With these good habits in mind, the book describes the Logical Data Structure (LDS) notation and the process of controlled evolution by which you can create low-cost, user-approved data models that resist premature obsolescence. Also included is an encyclopedic analysis of all data shapes that you will encounter. Most notably, the book describes The Flow, a loosely scripted process by which you and the users gradually but continuously improve an LDS until it faithfully represents the information needs. Essential implementation and technology issues are also covered.

You will learn about such vital topics as:

  • The fundamental problems of data modeling
  • The good habits that help a data modeler be effective and economical
  • LDS notation, which encourages these good habits
  • How to read an LDS aloud--in declarative English sentences
  • How to write a well-formed (syntactically correct) LDS
  • How to get users to name the parts of an LDS with words from their own business vocabulary
  • How to visualize data for an LDS
  • A catalog of LDS shapes that recur throughout all data models
  • The Flow--the template for your conversations with users
  • How to document an LDS for users, data modelers, and technologists
  • How to map an LDS to a relational schema
  • How LDS differs from other notations and why

"Story interludes" appear throughout the book, illustrating real-world successes of the LDS notation and controlled evolution process. Numerous exercises help you master critical skills. In addition, two detailed, annotated sample conversations with users show you the process of controlled evolution in action.



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About the Author

John Carlis is on the faculty in the Department of Computer Science at the University of Minnesota. For the past twenty years he has taught, consulted, and conducted research on database systems, particularly in data modeling and database language extensions. Visit his homepage at www.cs.umn.edu/~carlis.

Joseph Maguire is an independent consultant and the creator of the forthcoming Web site www.logicaldatastructures.com. For the past 18 years he has been an employee or consultant for many companies, including Bachman Information Systems, Digital, Lotus, Microsoft, and US WEST.



020170045XAB04062001

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