The Joint Rex Breed Advisory Committee DEVON
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Incidence of Diabetes Mellitus in Insured Swedish Cats in Relation to Age, Breed and Sex
J Vet Intern Med 2015;29:1342–1347 Incidence of Diabetes Mellitus in Insured Swedish Cats in Relation to Age, Breed and Sex M. Ohlund,€ T. Fall, B. Strom€ Holst, H. Hansson-Hamlin, B. Bonnett, and A. Egenvall Background: Diabetes mellitus (DM) is a common endocrinopathy in cats. Most affected cats suffer from a type of diabe- tes similar to type 2 diabetes in humans. An increasing prevalence has been described in cats, as in humans, related to obesity and other lifestyle factors. Objectives: To describe the incidence of DM in insured Swedish cats and the association of DM with demographic risk factors, such as age, breed and sex. Animals: A cohort of 504,688 individual cats accounting for 1,229,699 cat-years at risk (CYAR) insured by a Swedish insurance company from 2009 to 2013. Methods: We used reimbursed insurance claims for the diagnosis of DM. Overall incidence rates and incidence rates strat- ified on year, age, breed, and sex were estimated. Results: The overall incidence rate of DM in the cohort was 11.6 cases (95% confidence interval [CI], 11.0–12.2) per 10,000 CYAR. Male cats had twice as high incidence rate (15.4; 95% CI, 14.4–16.4) as females (7.6; 95% CI, 6.9–8.3). Domestic cats were at higher risk compared to purebred cats. A significant association with breed was seen, with the Bur- mese, Russian Blue, Norwegian Forest cat, and Abyssinian breeds at a higher risk compared to other cats. No sex predisposi- tion was found among Burmese cats. -
Coat Color and Cat Outcomes in an Urban U.S. Shelter
animals Article Coat Color and Cat Outcomes in an Urban U.S. Shelter Robert M. Carini 1,*, Jennifer Sinski 2 and Jonetta D. Weber 1 1 Department of Sociology, University of Louisville, Louisville, KY 40292, USA; [email protected] 2 Department of Sociology, Bellarmine University, Louisville, KY 40205, USA; [email protected] * Correspondence: [email protected] Received: 30 August 2020; Accepted: 21 September 2020; Published: 23 September 2020 Simple Summary: There is continuing debate as to whether individuals prefer companion cats of varying coat colors, and if so, how color preferences may affect whether cats in shelters are euthanized, adopted, or transferred to another organization. This study analyzed outcomes for nearly 8000 cats admitted to an urban public shelter in Kentucky, USA from 2010 through 2011. While coat color overall was not an important predictor of cat outcomes, a tiered pattern among particular colors was detected. Specifically, black and white cats experienced the highest and lowest chances of euthanasia, respectively, while brown and gray cats experienced more middling chances. Orange cats’ relative chances of euthanasia were more difficult to gauge, but orange and white cats had similar euthanasia and adoption outcomes in the most nuanced model. In addition, there has been persistent speculation that the public’s interest in—and preference for—black cats might spike before Halloween due to cats’ associations with the holiday. However, the present study found that a subsample of more than 1200 entirely black cats did not experience improved chances of adoption or transfer to a rescue organization in October compared to other months. -
British Journal of Nutrition (2011), 106, S113–S115 Doi:10.1017/S0007114511001802 Q the Authors 2011
Downloaded from British Journal of Nutrition (2011), 106, S113–S115 doi:10.1017/S0007114511001802 q The Authors 2011 https://www.cambridge.org/core A pilot study of the body weight of pure-bred client-owned adult cats Ellen Kienzle* and Katja Moik Animal Nutrition and Dietetics, Ludwig-Maximilians-Universita¨tMu¨nchen, Scho¨nleutner Strasse 8, 85764 Oberschleißheim, . IP address: Germany (Received 15 October 2010 – Revised 23 February 2011 – Accepted 7 March 2011) 170.106.34.90 Abstract , on A total of 539 pure-bred and seventy-five cats without a pedigree were weighed and scored at cat shows or in veterinary surgeries. Data from normal-weight cats with a body condition score (BCS) of 5 (ideal) were only used. Breeds were grouped into five classes. For female 26 Sep 2021 at 09:46:00 cats, the mean weight for these groups were as follows: very light (2·8 kg); light (3·2 kg); medium (3·5 kg); large (4·0 kg); giant (4·9) kg. For male cats, the corresponding values were 3·6, 4·2, 4·3, 5·1 and 6·1 kg. Siamese/Oriental Shorthair were identified as a very light breed, the Norwegian Forest and the Siberian Cat as a large breed and the Maine Coon as a giant breed. Males and females of the same breed did not always belong to the same class. In some breeds, individuals of the same sex were found in two different classes. The percentage of intact overweight cats (BCS .5) was low (7 % of intact males, 3 % of intact females). -
2014 ACF GM – Ap P10a
EMS BREED CODING SYSTEM (ACF) SRS = Selkirk Rex Shorthair The FIFe’s Easy Mind System (EMS) simplifies and SRL = Selkirk Rex Longhair replaces the combination of letters and numbers SIN = Singapura SNO = Snowshoe used to identify cats. In the EMS the codes are SOM = Somali uniform across breeds. A genetic black cat, for SPH = Sphynx example, is always identified by the small letter “n” TOS = Tonkinese no matter what its breed. A bi-coloured cat, regardless of breed, is always identified by a “03” in Recognised Colours: its code. The first part of the EMS code, written in The second part of the EMS code, which identifies a uppercase letters, denotes the breed. cat’s colour, is always written in lower case letters. a = blue Recognised Breeds b = chocolate Group 1: c = lilac EXO = Exotic d = red PER = Persian e = cream MCO = Maine Coon f = black tortie NFO = Norwegian Forest g = blue tortie RAG = Ragdoll h = chocolate tortie SBI = Birman (breed is actually ‘Sacred Birman’) j = lilac tortie SIB = Siberian m = caramel or apricot (The “m”, when added to TUV = Turkish Van EMS-codes for diluted colour varieties indicates that the cat is a Dilute modifier (Dm) colour based on Group 2: one of the dilute colours: caramel - blue, lilac, fawn BAL = Balinese + “m”- or apricot- cream, blue-tortie, lilac-tortie or OLH = Oriental longhair fawn-tortie + “m”. So lilac based caramel is cm, OSH = Oriental shorthair while a blue based is am). SIA = Siamese n = black (“n” comes from the French noir, meaning PEB = Peterbald black, including full expression burmilla) seal (in Group 3: Himalayan-patterned cats), brown (Burmese, some ABY = Abyssinian Burmillas – n 31 - and Tonkinese – n 32) tawny (in ACS = American Curl Shorthair Abyssinians and Somalis) ACL = American Curl Longhair o = cinnamon AMS = American Shorthair p = fawn AUM= Australian Mist q = cinnamon tortoiseshell BEN = Bengal r = fawn tortoiseshell BOM = Bombay (Shorthair. -
Pdf) Must Be Completed by the of the Genus and Species of the Probiotic Strain by Using a Manufacturer Or Distributor and Submitted to FDA
Peer-Reviewed Journal Tracking and Analyzing Disease Trends pages 1661–1826 EDITOR-IN-CHIEF D. Peter Drotman Managing Senior Editor EDITORIAL BOARD Polyxeni Potter, Atlanta, Georgia, USA Dennis Alexander, Addlestone Surrey, United Kingdom Senior Associate Editor Barry J. Beaty, Ft. Collins, Colorado, USA Brian W.J. Mahy, Atlanta, Georgia, USA Ermias Belay, Atlanta, GA, USA Martin J. Blaser, New York, New York, USA Associate Editors Christopher Braden, Atlanta, GA, USA Paul Arguin, Atlanta, Georgia, USA Carolyn Bridges, Atlanta, GA, USA Charles Ben Beard, Ft. Collins, Colorado, USA Arturo Casadevall, New York, New York, USA David Bell, Atlanta, Georgia, USA Kenneth C. Castro, Atlanta, Georgia, USA Corrie Brown, Athens, Georgia, USA Thomas Cleary, Houston, Texas, USA Charles H. Calisher, Ft. Collins, Colorado, USA Anne DeGroot, Providence, Rhode Island, USA Michel Drancourt, Marseille, France Vincent Deubel, Shanghai, China Paul V. Effl er, Perth, Australia Ed Eitzen, Washington, DC, USA David Freedman, Birmingham, AL, USA Daniel Feikin, Baltimore, MD, USA Peter Gerner-Smidt, Atlanta, GA, USA Kathleen Gensheimer, Cambridge, MA, USA K. Mills McNeill, Kampala, Uganda Duane J. Gubler, Singapore Nina Marano, Atlanta, Georgia, USA Richard L. Guerrant, Charlottesville, Virginia, USA Martin I. Meltzer, Atlanta, Georgia, USA Stephen Hadler, Atlanta, GA, USA David Morens, Bethesda, Maryland, USA Scott Halstead, Arlington, Virginia, USA J. Glenn Morris, Gainesville, Florida, USA David L. Heymann, London, UK Patrice Nordmann, Paris, France Charles King, Cleveland, Ohio, USA Tanja Popovic, Atlanta, Georgia, USA Keith Klugman, Atlanta, Georgia, USA Didier Raoult, Marseille, France Takeshi Kurata, Tokyo, Japan Pierre Rollin, Atlanta, Georgia, USA S.K. Lam, Kuala Lumpur, Malaysia Dixie E. -
1455189355674.Pdf
THE STORYTeller’S THESAURUS FANTASY, HISTORY, AND HORROR JAMES M. WARD AND ANNE K. BROWN Cover by: Peter Bradley LEGAL PAGE: Every effort has been made not to make use of proprietary or copyrighted materi- al. Any mention of actual commercial products in this book does not constitute an endorsement. www.trolllord.com www.chenaultandgraypublishing.com Email:[email protected] Printed in U.S.A © 2013 Chenault & Gray Publishing, LLC. All Rights Reserved. Storyteller’s Thesaurus Trademark of Cheanult & Gray Publishing. All Rights Reserved. Chenault & Gray Publishing, Troll Lord Games logos are Trademark of Chenault & Gray Publishing. All Rights Reserved. TABLE OF CONTENTS THE STORYTeller’S THESAURUS 1 FANTASY, HISTORY, AND HORROR 1 JAMES M. WARD AND ANNE K. BROWN 1 INTRODUCTION 8 WHAT MAKES THIS BOOK DIFFERENT 8 THE STORYTeller’s RESPONSIBILITY: RESEARCH 9 WHAT THIS BOOK DOES NOT CONTAIN 9 A WHISPER OF ENCOURAGEMENT 10 CHAPTER 1: CHARACTER BUILDING 11 GENDER 11 AGE 11 PHYSICAL AttRIBUTES 11 SIZE AND BODY TYPE 11 FACIAL FEATURES 12 HAIR 13 SPECIES 13 PERSONALITY 14 PHOBIAS 15 OCCUPATIONS 17 ADVENTURERS 17 CIVILIANS 18 ORGANIZATIONS 21 CHAPTER 2: CLOTHING 22 STYLES OF DRESS 22 CLOTHING PIECES 22 CLOTHING CONSTRUCTION 24 CHAPTER 3: ARCHITECTURE AND PROPERTY 25 ARCHITECTURAL STYLES AND ELEMENTS 25 BUILDING MATERIALS 26 PROPERTY TYPES 26 SPECIALTY ANATOMY 29 CHAPTER 4: FURNISHINGS 30 CHAPTER 5: EQUIPMENT AND TOOLS 31 ADVENTurer’S GEAR 31 GENERAL EQUIPMENT AND TOOLS 31 2 THE STORYTeller’s Thesaurus KITCHEN EQUIPMENT 35 LINENS 36 MUSICAL INSTRUMENTS -
Registration Rules & Related Standing Rules
The International Cat Association, Inc. Registration Rules & Related Standing Rules PREFACE to By-Laws, Registration Rules, Show Rules, Standing Rules, Uniform Color Descriptions and Standards The By-Laws take precedence over ALL other Rules, followed by the Registration Rules, Show Rules, Standing Rules, and Uniform Color Descriptions, in that order. The Registration Rules, Show Rules, Standing Rules, and Uniform Color Descriptions shall take precedence over any individual Breed Standard UNLESS that Standard is MORE restrictive than the general rules applying to ALL breeds, in which case the Standard shall take precedence. i ii REGISTRATION RULES TABLE OF CONTENTS ARTICLE ONE - Definitions . 1 ARTICLE TWO - Registration Records . 2 ARTICLE THREE - Recognition of Breeds for Registration. 3 ARTICLE FOUR - Names of Colors and Color Codes . 18 ARTICLE FIVE - Assignment of Gender . 19 ARTICLE SIX - Registration Status . 20 ARTICLE SEVEN - Eligibility for Registration . 26 ARTICLE EIGHT - Cattery Name. 37 ARTICLE TEN - Litter Registrations. 43 ARTICLE ELEVEN - Non-domestic Felines . 44 ARTICLE TWELVE - Amendments to Registration Rules . 45 Index. 46 Index of Changes to Registration Rules . 48 Related Standing Rules are inserted and italicized. iii iv ARTICLE ONE - Definitions 31.1 The word "cat" as used in these rules governing registration shall be understood as referring to any domestic feline (Felis domesticus) regardless of age or gender. Non-domestic felines will be specifically designated when appropriate. 31.2 The word "breed" shall be defined as a sub-population of cats which differ from other cats with respect to certain genetically determined characteristics which all members of the defined sub-population share in common. These characteristics are described in the written "standard" for the breed. -
LOOF STANDARDS Table of Contents
LOOF STANDARDS Table of contents ABYSSINIAN & S OMALI MAINE C OON AMERICAN B OBTAIL S HORTHAIR & L ONGHAIR MANX & C YMRIC AMERICAN C URL S HORTHAIR & L ONGHAIR MUNCHKIN S HORTHAIR & L ONGHAIR AMERICAN S HORTHAIR NORWEGIAN F OREST C AT AMERICAN W IREHAIR OCICAT ASIAN , E NGLISH B URMESE & B URMILLA PERSIAN & E XOTIC S HORTHAIR BENGAL PETERBALD BIRMAN PIXIE B OB S HORTHAIR & L ONGHAIR BOMBAY & A MERICAN B URMESE RAGDOLL BRITISH S HORTHAIR & L ONGHAIR RUSSIAN & N EBELUNG CALIFORNIA S PANGLED C AT SAVANNAH CEYLON SCOTTISH & H IGHLAND CHARTREUX SELKIRK CHAUSIE SIAMESE , O RIENTAL , B ALINESE & M ANDARIN CORNISH R EX & C ALIFORNIAN R EX SIBERIAN DEVON R EX SINGAPURA DONSKOY SNOWSHOE EUROPEAN S HORTHAIR SOKOKE EGYPTIAN M AU SPHYNX GERMAN R EX THAI HAVANA B ROWN TONKINESE S HORTHAIR & L ONGHAIR JAPANESE B OBTAIL S HORTHAIR & L ONGHAIR TURKISH A NGORA KORAT TURKISH V AN KURILIAN B OBTAIL S HORTHAIR & L ONGHAIR YORK C HOCOLATE LAPERM S HORTHAIR & L ONGHAIR LOOF standards TABLE OF CONTENTS English translation of version revised 29 November 2010 LOOF standards TABLE OF CONTENTS English translation of version revised 29 November 2010 ABYSSINIAN & SOMALI HEAD = 30 points royal look. Medium in size, males are Profile = 5 proportionally larger than females. Muzzle = 5 Well muscled, the Abyssinian and the Skull = 5 Somali are supple and agile like Ears = 5 panthers and show a great interest in Eye shape = 5 their environment. Their ticked coat Neck = 5 has the quality to reflect the light. Because of his hair length, the Somali BODY = 35 points may seem a bit heavier than he really Torso = 10 is. -
An Image Is Worth More Than a Thousand Words: Towards Disentanglement in the Wild
An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild Aviv Gabbay Niv Cohen Yedid Hoshen School of Computer Science and Engineering The Hebrew University of Jerusalem, Israel Project webpage: http://www.vision.huji.ac.il/zerodim Abstract Unsupervised disentanglement has been shown to be theoretically impossible without inductive biases on the models and the data. As an alternative approach, recent methods rely on limited supervision to disentangle the factors of variation and allow their identifiability. While annotating the true generative factors is only required for a limited number of observations, we argue that it is infeasible to enumerate all the factors of variation that describe a real-world image distribution. To this end, we propose a method for disentangling a set of factors which are only partially labeled, as well as separating the complementary set of residual factors that are never explicitly specified. Our success in this challenging setting, demonstrated on synthetic benchmarks, gives rise to leveraging off-the-shelf image descriptors to partially annotate a subset of attributes in real image domains (e.g. of human faces) with minimal manual effort. Specifically, we use a recent language-image embedding model (CLIP) to annotate a set of attributes of interest in a zero-shot manner and demonstrate state-of-the-art disentangled image manipulation results. 1 Introduction High-dimensional data (e.g. images) is commonly assumed to be generated from a low-dimensional latent variable representing the true factors of variation [3, 28]. Learning to disentangle and identify these hidden factors given a set of observations is a cornerstone problem in machine learning, which has recently attracted much research interest [17, 22, 5, 29]. -
Using Petlink's Mass Import Feature
Using PetLink’s Mass Import Feature Instructions for Animal Professionals (Shelters, Rescues and Humane Societies) Overview PetLink offers Mass Import of multiple prepaid microchip registrations and transfers of ownership for Animal Professionals, so that you can upload pet data in bulk, saving valuable time entering individual records. PetLink’s Mass Import is based on a simple, easy to use Microsoft Excel spreadsheet template, where owner and pet data are input into one document, which then can be uploaded into PetLink directly at one time. Mass Import enables immediate registration, and eliminates the need for individual registration and transfer of ownership forms that have to be mailed or faxed to PetLink. Mass Import also helps ensure that pet owner contact data Guardian: remains in secure hands. We are committed to our customers’ Linking You, Your Clients and Pets privacy; Mass Import creates an efficient and effective means to complete registration or transfer of ownership quickly By using PetLink’s Mass Import feature, your facility will and ensures that the privacy of both you and your clients is automatically be listed as “guardian” for every pet registered - protected. Your facility will receive a confirmation report and something that a pet owner or adopter cannot edit. This adds your each individual pet owner will receive a PetLink welcome email facility as a permanent contact in case the pet is ever found far following a successful import. from home but its family cannot be reached. It helps ensure that you can remain involved in the pet’s care and in making decisions In order to use Mass Import, your facility needs to have a valid, on how it is to be treated and possibly rehomed if that animal is free, Animal Professional account with PetLink. -
Genetic Assignment of Domestic Cats to Breeds and Worldwide Random-Bred Populations
doi: 10.1111/age.12008 Variation of cats under domestication: genetic assignment of domestic cats to breeds and worldwide random-bred populations J. D. Kurushima, M. J. Lipinski, B. Gandolfi, L. Froenicke, J. C. Grahn, R. A. Grahn and L. A. Lyons Department of Health & Reproduction, School of Veterinary Medicine, University of California – Davis, Davis, CA, 95616, USA. Summary Both cat breeders and the lay public have interests in the origins of their pets, not only in the genetic identity of the purebred individuals, but also in the historical origins of common household cats. The cat fancy is a relatively new institution with over 85% of its 40–50 breeds arising only in the past 75 years, primarily through selection on single-gene aesthetic traits. The short, yet intense cat breed history poses a significant challenge to the development of a genetic marker–based breed identification strategy. Using different breed assignment strategies and methods, 477 cats representing 29 fancy breeds were analysed with 38 short tandem repeats, 148 intergenic and five phenotypic single nucleotide polymorphisms. Results suggest the frequentist method of Paetkau (single nucleotide polymorphisms = 0.78, short tandem repeats = 0.88) surpasses the Bayesian method of Rannala and Mountain (single nucleotide polymorphisms = 0.56, short tandem repeats = 0.83) for accurate assignment of individuals to the correct breed. Additionally, a post-assignment verification step with the five phenotypic single nucleotide polymor- phisms accurately identified between 0.31 and 0.58 of the misassigned individuals raising the sensitivity of assignment with the frequentist method to 0.89 and 0.92 for single nucleotide polymorphisms and short tandem repeats respectively. -
The New Magazine For
The new magazine for Articles and pictures of fanciers and breeders The first online magazine by www.devon-rex.eu This is the third issue of the first free online magazine for all Rex and Sphynx fanciers. The articles are written by fanciers, breeders and judges from various countries, some “newbees” and some “old dogs” and everything in between. What they have in common is the love for Rex and Sphynx cats. In this issue: Cattery Vom Hause Hamann 2 Cattery Smooth Operator 4 Cattery Made in Belgium 5 Cornish Rex vs German Rex 8 Cattery Volna Urala 11 Cattery Goblin’s 12 How and why a Devon Rex came into our lives 15 The laPerm 17 Cattery Aquilaaltairral 19 Incorrect pedigrees 21 Pawpeds 22 Registration of litters with different males in CFA 24 Cattery Kyapark about import en export 25 Do not copy anything from this magazine without permission of the author. The authors are responsible for the content of the articles. http://www.devon-rex.eu 1 Cattery Vom Hause Hamann If anyone told me thirty years ago, one day German Rex will be your passion, I definitely would have looked surprised. In reality there were at that time only very few breeders in the former DDR, just Cattery Vom Grund (Barensfeld) and Cattery Vom Jagdrain (Kania) and also very poor pictures in the few available books. Indeed I did buy my first German Rex in October 1982, Serena Vom Grund, a black female. Serena, Reni, was a dream in black. She was to me the perfect German Rex.