1In the name of Allah, the Gracious, the Merciful. Ùą Ű§Ù„Ù’Ű­ÙŽÙ…Ù’ŰŻÙ لِلَّهِ Ű±ÙŽŰšÙ‘Ù Ű§Ù„Ù’ŰčÙŽŰ§Ù„ÙŽÙ…ÙÙŠÙ†. 2 Praise be to Allah, Lord of the Worlds. ÙŁ Ű§Ù„Ű±Ù‘ÙŽŰ­Ù’Ù…ÙŽÙ°Ù†Ù Ű§Ù„Ű±Ù‘ÙŽŰ­ÙÙŠÙ…. 3 The Most Gracious, the Most Merciful. Ù€ Ù…ÙŽŰ§Ù„ÙÙƒÙ يَوْمِ Ű§Ù„ŰŻÙ‘ÙÙŠÙ†Ù. 4 Master of the Day of Judgment. Ù„ SysmĂ€ Finland - sunrise, sunset, dawn and dusk times for the whole year in a graph, day length and changes in lengths in a table. Basic information, like local time and the location on a world map, are also featured. KHÔNGPHáșąI NGÆŻá»œI THÀNH CÔNG MỚI DÙNG SIM SỐ ĐáșžP MÀ CHÍNH SIM SỐ ĐáșžP Đà GIÚP HỌ THÀNH CÔNG ChĂșng tĂŽi chuyĂȘn mua bĂĄn sim số đáșčp Nháș­n lĂ m sim theo yĂȘu Kannonkoski Finland - sunrise, sunset, dawn and dusk times for the whole year in a graph, day length and changes in lengths in a table. Basic information, like local time and the location on a world map, are also featured. Localiserplus prĂ©cisĂ©ment un numĂ©ro commençant par 01 Si vous avez reçu un appel avec un numĂ©ro commençant par 01, il est possible de connaĂźtre de maniĂšre plus prĂ©cise la rĂ©gion d'oĂč View Insert. Format. Data. Tools. Public on the web. Anyone on the Internet can find and access. No sign-in required. nHKwvKw. Review . 2022 Jan;431300-328. doi Epub 2021 Feb 21. Ida E SĂžnderby 1 2 3 , Sophia I Thomopoulos 4 , Dennis van der Meer 2 5 , Daqiang Sun 6 7 , Julio E Villalon-Reina 4 , Ingrid Agartz 8 9 10 , Katrin Amunts 11 12 , Celso Arango 13 14 , Nicola J Armstrong 15 , Rosa Ayesa-Arriola 14 16 , Geor Bakker 17 18 , Anne S Bassett 19 20 21 , Dorret I Boomsma 22 23 , Robin BĂŒlow 24 , Nancy J Butcher 21 25 , Vince D Calhoun 26 , Svenja Caspers 11 27 , Eva W C Chow 19 21 , Sven Cichon 11 28 29 , Simone Ciufolini 30 , Michael C Craig 31 , Benedicto Crespo-Facorro 32 , Adam C Cunningham 33 , Anders M Dale 34 35 , Paola Dazzan 36 , Greig I de Zubicaray 37 , Srdjan Djurovic 1 38 , Joanne L Doherty 33 39 , Gary Donohoe 40 , Bogdan Draganski 41 42 , Courtney A Durdle 43 , Stefan Ehrlich 44 , Beverly S Emanuel 45 , Thomas Espeseth 46 47 , Simon E Fisher 48 49 , Tian Ge 50 51 , David C Glahn 52 53 , Hans J Grabe 54 55 , Raquel E Gur 56 57 , Boris A Gutman 58 , Jan Haavik 59 60 , Asta K HĂ„berg 61 62 , Laura A Hansen 63 , Ryota Hashimoto 64 65 , Derrek P Hibar 66 , Avram J Holmes 67 68 , Jouke-Jan Hottenga 22 , Hilleke E Hulshoff Pol 69 , Maria Jalbrzikowski 70 , Emma E M Knowles 51 71 , Leila Kushan 72 , David E J Linden 73 74 , Jingyu Liu 26 75 , Astri J Lundervold 76 , Sandra Martin-Brevet 41 , Kenia MartĂ­nez 13 14 77 , Karen A Mather 78 79 , Samuel R Mathias 53 71 , Donna M McDonald-McGinn 45 80 81 , Allan F McRae 82 , Sarah E Medland 83 , Torgeir Moberget 84 , Claudia Modenato 41 85 , Jennifer Monereo SĂĄnchez 73 86 87 , Clara A Moreau 88 , Thomas W MĂŒhleisen 11 12 29 , Tomas Paus 89 90 , Zdenka Pausova 91 , Carlos Prieto 92 , Anjanibhargavi Ragothaman 93 , CĂ©line S Reinbold 29 94 , Tiago Reis Marques 30 95 , Gabriela M Repetto 96 , Alexandre Reymond 97 , David R Roalf 56 , Borja Rodriguez-Herreros 98 , James J Rucker 36 , Perminder S Sachdev 78 99 , James E Schmitt 100 , Peter R Schofield 79 101 , Ana I Silva 74 102 , Hreinn Stefansson 103 , Dan J Stein 104 , Christian K Tamnes 2 9 105 , Diana Tordesillas-GutiĂ©rrez 14 106 , Magnus O Ulfarsson 103 107 , Ariana Vajdi 72 , Dennis van 't Ent 22 , Marianne B M van den Bree 33 , Evangelos Vassos 108 , Javier VĂĄzquez-Bourgon 14 16 109 , Fidel Vila-Rodriguez 110 , G Bragi Walters 103 111 , Wei Wen 78 , Lars T Westlye 3 46 112 , Katharina Wittfeld 54 55 , Elaine H Zackai 45 80 , KĂĄri StefĂĄnsson 103 111 , Sebastien Jacquemont 88 113 , Paul M Thompson 4 , Carrie E Bearden 6 114 , Ole A Andreassen 2 , ENIGMA-CNV Working Group; ENIGMA Deletion Syndrome Working Group Collaborators, Affiliations PMID 33615640 PMCID PMC8675420 DOI Free PMC article Review Effects of copy number variations on brain structure and risk for psychiatric illness Large-scale studies from the ENIGMA working groups on CNVs Ida E SĂžnderby et al. Hum Brain Mapp. 2022 Jan. Free PMC article Abstract The Enhancing NeuroImaging Genetics through Meta-Analysis copy number variant ENIGMA-CNV and Deletion Syndrome Working Groups 22q-ENIGMA WGs were created to gain insight into the involvement of genetic factors in human brain development and related cognitive, psychiatric and behavioral manifestations. To that end, the ENIGMA-CNV WG has collated CNV and magnetic resonance imaging MRI data from ~49,000 individuals across 38 global research sites, yielding one of the largest studies to date on the effects of CNVs on brain structures in the general population. The 22q-ENIGMA WG includes 12 international research centers that assessed over 533 individuals with a confirmed deletion syndrome, 40 with duplications, and 333 typically developing controls, creating the largest-ever CNV neuroimaging data set. In this review, we outline the ENIGMA infrastructure and procedures for multi-site analysis of CNVs and MRI data. So far, ENIGMA has identified effects of the distal, and distal CNVs on subcortical and cortical brain structures. Each CNV is associated with differences in cognitive, neurodevelopmental and neuropsychiatric traits, with characteristic patterns of brain structural abnormalities. Evidence of gene-dosage effects on distinct brain regions also emerged, providing further insight into genotype-phenotype relationships. Taken together, these results offer a more comprehensive picture of molecular mechanisms involved in typical and atypical brain development. This "genotype-first" approach also contributes to our understanding of the etiopathogenesis of brain disorders. Finally, we outline future directions to better understand effects of CNVs on brain structure and behavior. Keywords brain structural imaging; copy number variant; diffusion tensor imaging; evolution; genetics-first approach; neurodevelopmental disorders; psychiatric disorders. © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. Figures FIGURE 1 Copy number variants. CNV carriers may have a deletion one copy of region D, red or duplication three copies of region D, blue compared with the normal copy number two copies of region D, black. Reciprocal CNVs are a deletion and duplication occurring at the same locus FIGURE 2 World map of the ENIGMA‐CNV and 22q‐ENIGMA WG study sites. A full list of participating cohorts and members for ENIGMA‐CNV and 22q‐ENIGMA may be found at the respective webpages and Both working groups consist of international teams of clinicians, neuroscientists, engineers, bioinformaticians, statisticians, computer scientists, and geneticists who pool their resources to conduct large‐scale neuroimaging studies of CNVs FIGURE 3 The overall procedure for participation in ENIGMA‐CNV and 22q‐ENIGMA FIGURE 4 The subcortical findings from ENIGMA‐CNV, 22q‐ENIGMA and selected ENIGMA psychiatric working groups. Averaged left and right subcortical volume case versus non‐carriers NC Cohen's d effect size estimates for the ENIGMA SCZ van Erp et al., 2016, ADHD Hoogman et al., 2017, ASD van Rooij et al., 2018, 22q11DS Ching et al., 2020, CNV van der Meer, 2019, distal CNV SĂžnderby et al., 2018, and the distal CNV in review studies. 22q+Psy vs. 22q‐Psy indicates a comparison from Ching et al. 2020 where a subset of individuals with deletion syndrome with a history of psychosis were compared to a matched group of individuals with deletion without a history of psychosis. Significant group differences are indicated by an asterisk *; the plot includes vertical 95% confidence intervals FIGURE 5 Cortical findings from the ENIGMA‐CNV, 22q‐ENIGMA, and selected ENIGMA psychiatric working groups. Copy number variant CNV analyses for deletion or duplication carriers vs non‐carriers for the CNVs ICV‐corrected; van der Meer et al., 2019, distal CNVs ICV‐corrected; in review and 22q11DS Sun et al., 2018. 22q11DS results include 22q11DS psychosis deletion Del+Psy vs non psychosis deletion Del‐Psy; left hemisphere shown. Behaviorally defined disorders analyses Results are shown from case‐control studies from ASD's mega‐analysis left hemisphere shown; van Rooij et al., 2018, all ages in ADHD combined children, adolescents and adults; Hoogman et al., 2017, all types of epilepsies combined left hemisphere shown; Whelan et al., 2018, and schizophrenia SCZ; left hemisphere shown; van Erp et al., 2018. Only significant results are shown Similar articles Quantifying the Effects of Copy Number Variants on Brain Structure A Multisite Genetic-First Study. Martin-Brevet S, RodrĂ­guez-Herreros B, Nielsen JA, Moreau C, Modenato C, Maillard AM, Pain A, Richetin S, JĂžnch AE, Qureshi AY, ZĂŒrcher NR, Conus P; European Consortium; Simons Variation in Individuals Project VIP Consortium, Chung WK, Sherr EH, Spiro JE, Kherif F, Beckmann JS, Hadjikhani N, Reymond A, Buckner RL, Draganski B, Jacquemont S. Martin-Brevet S, et al. Biol Psychiatry. 2018 Aug 15;844253-264. doi Epub 2018 Mar 27. Biol Psychiatry. 2018. PMID 29778275 Genotype-phenotype associations in children with copy number variants associated with high neuropsychiatric risk in the UK IMAGINE-ID a case-control cohort study. Chawner SJRA, Owen MJ, Holmans P, Raymond FL, Skuse D, Hall J, van den Bree MBM. Chawner SJRA, et al. Lancet Psychiatry. 2019 Jun;66493-505. doi Epub 2019 May 2. Lancet Psychiatry. 2019. PMID 31056457 Effects of eight neuropsychiatric copy number variants on human brain structure. Modenato C, Kumar K, Moreau C, Martin-Brevet S, Huguet G, Schramm C, Jean-Louis M, Martin CO, Younis N, Tamer P, Douard E, ThĂ©bault-Dagher F, CĂŽtĂ© V, Charlebois AR, Deguire F, Maillard AM, Rodriguez-Herreros B, Pain A, Richetin S; European Consortium; Simons Searchlight Consortium, Melie-Garcia L, Kushan L, Silva AI, van den Bree MBM, Linden DEJ, Owen MJ, Hall J, LippĂ© S, Chakravarty M, Bzdok D, Bearden CE, Draganski B, Jacquemont S. Modenato C, et al. Transl Psychiatry. 2021 Jul 20;111399. doi Transl Psychiatry. 2021. PMID 34285187 Free PMC article. Lessons Learned From Neuroimaging Studies of Copy Number Variants A Systematic Review. Modenato C, Martin-Brevet S, Moreau CA, Rodriguez-Herreros B, Kumar K, Draganski B, SĂžnderby IE, Jacquemont S. Modenato C, et al. Biol Psychiatry. 2021 Nov 1;909596-610. doi Epub 2021 Jun 15. Biol Psychiatry. 2021. PMID 34509290 Review. Animal models of psychiatric disorders that reflect human copy number variation. Nomura J, Takumi T. Nomura J, et al. Neural Plast. 2012;2012589524. doi Epub 2012 Jul 30. Neural Plast. 2012. PMID 22900207 Free PMC article. Review. Cited by Cross disorder comparisons of brain structure in schizophrenia, bipolar disorder, major depressive disorder, and deletion syndrome A review of ENIGMA findings. Cheon EJ, Bearden CE, Sun D, Ching CRK, Andreassen OA, Schmaal L, Veltman DJ, Thomopoulos SI, Kochunov P, Jahanshad N, Thompson PM, Turner JA, van Erp TGM. Cheon EJ, et al. Psychiatry Clin Neurosci. 2022 May;765140-161. doi Epub 2022 Feb 26. Psychiatry Clin Neurosci. 2022. PMID 35119167 Review. Translational Study of Copy Number Variations in Schizophrenia. Cheng MC, Chien WH, Huang YS, Fang TH, Chen CH. Cheng MC, et al. Int J Mol Sci. 2021 Dec 31;231457. doi Int J Mol Sci. 2021. PMID 35008879 Free PMC article. Primary Psychosis Risk and Protective Factors and Early Detection of the Onset. Brasso C, Giordano B, Badino C, Bellino S, Bozzatello P, Montemagni C, Rocca P. Brasso C, et al. Diagnostics Basel. 2021 Nov 19;11112146. doi Diagnostics Basel. 2021. PMID 34829493 Free PMC article. Review. The Enhancing NeuroImaging Genetics through Meta-Analysis Consortium 10 Years of Global Collaborations in Human Brain Mapping. Thompson PM, Jahanshad N, Schmaal L, Turner JA, Winkler AM, Thomopoulos SI, Egan GF, Kochunov P. Thompson PM, et al. Hum Brain Mapp. 2022 Jan;43115-22. doi Epub 2021 Oct 6. Hum Brain Mapp. 2022. PMID 34612558 Free PMC article. References Abdellaoui, A. , Ehli, E. A. , Hottenga, J. J. , Weber, Z. , Mbarek, H. , Willemsen, G. , 
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NeuroImage, 166, 400–424. - PMC - PubMed Publication types MeSH terms Grant support RC2 MH089951/MH/NIMH NIH HHS/United States MR/S003444/1/MRC_/Medical Research Council/United Kingdom U01 MH119758/MH/NIMH NIH HHS/United States R01 MH107108/MH/NIMH NIH HHS/United States RC2 MH089995/MH/NIMH NIH HHS/United States R01 MH078111/MH/NIMH NIH HHS/United States T32 AG058507/AG/NIA NIH HHS/United States U54 EB020403/EB/NIBIB NIH HHS/United States MOP-79518/CIHR/Canada R01 MH120174/MH/NIMH NIH HHS/United States C06 RR020547/RR/NCRR NIH HHS/United States MOP-111238/CIHR/Canada R01 MH119185/MH/NIMH NIH HHS/United States R01 MH090553/MH/NIMH NIH HHS/United States P41 EB015922/EB/NIBIB NIH HHS/United States U24 DA041147/DA/NIDA NIH HHS/United States U01 MH087626/MH/NIMH NIH HHS/United States U01 MH119736/MH/NIMH NIH HHS/United States FDN 143290/CIHR/Canada R01 MH094524/MH/NIMH NIH HHS/United States DH_/Department of Health/United Kingdom R01 MH085953/MH/NIMH NIH HHS/United States 100,202/Z/12/Z/WT_/Wellcome Trust/United Kingdom K01 ES026840/ES/NIEHS NIH HHS/United States U24 MH068457/MH/NIMH NIH HHS/United States R01 MH078143/MH/NIMH NIH HHS/United States U54 EB020403/NH/NIH HHS/United States MOP-74631 /CIHR/Canada R01 MH100900/MH/NIMH NIH HHS/United States MOP-89066/CIHR/Canada U01 MH119737/MH/NIMH NIH HHS/United States MOP-97800 /CIHR/Canada WT_/Wellcome Trust/United Kingdom R01 AG058464/AG/NIA NIH HHS/United States R01 MH083824/MH/NIMH NIH HHS/United States MR/L010305/1/MRC_/Medical Research Council/United Kingdom U01 MH101723/MH/NIMH NIH HHS/United States U01 MH087636/MH/NIMH NIH HHS/United States P01 HD070454/HD/NICHD NIH HHS/United States LinkOut - more resources Full Text Sources Europe PubMed Central Ovid Technologies, Inc. PubMed Central Wiley eScholarship, California Digital Library, University of California Other Literature Sources scite Smart Citations Medical MedlinePlus Health Information Miscellaneous NCI CPTAC Assay Portal The Kustomer Platform Customer Support Software Built for Modern Brands Legacy CRMs were built to manage cases, not customers. You shouldn’t have to pay more for operational solutions and modern communication tools in order to provide quality support. With Kustomer, you don’t have to. Request Live Demo Start Free Trial Self-Service Automate 40% of Your Conversations Without Compromising Quality Embrace AI and deflect support volume across your digital channels with automation and knowledge management that helps customers help themselves. Learn More About Customer Service Automation We’re offering free access to a few premium features when you sign up for our Enterprise Plan. 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Le code couleur CMJN se prĂ©sente sous la forme de 4 codes chacun reprĂ©sentant le pourcentage de la couleur utilisĂ©e. Les couleurs primaires de la synthĂšse soustractive sont le cyan, le magenta et le jaune. MalgrĂ© que ces derniĂšres soient Ă  la base de toutes les couleurs, le noir obtenu par leur mĂ©lange n’étant pas parfait, une quatriĂšme cartouche d’encre est ajoutĂ©e avec un noir pur. Les quatre codes reprĂ©sentent respectivement le dosage du cyan, du magenta, du jaune et du noir. Choisir couleur CMJN = Bleu et nuances de bleu - Code CMJN Nom de la couleur Aperçu de la couleur Code couleur CMJN Bleu 100%, 100%, 0%, 0% Aigue-marine 51%, 0%, 0%, 3% Azur 100%, 50%, 0%, 0% Azur 85%, 37%, 0%, 20% Azur clair 52%, 14%, 0%, 5% Azurin 33%, 52%, 0%, 0% Bleu acier 69%, 24%, 0%, 27% Bleu ardoise 26%, 21%, 0%, 45% Bleu barbeau 52%, 34%, 0%, 32% Bleu bleuet 52%, 34%, 0%, 32% Bleu bondi 100%, 18%, 0%, 29% Bleu cĂ©leste 84%, 17%, 0%, 7% Bleu cĂ©rulĂ©en 94%, 32%, 0%, 9% Bleu cĂ©rulĂ©en 71%, 33%, 0%, 28% Bleu charrette 28%, 18%, 0%, 22% Bleu charron 82%, 19%, 0%, 51% Bleu charron 28%, 18%, 0%, 22% Bleu ciel 53%, 29%, 0%, 0% Bleu cobalt 73%, 47%, 0%, 51% Bleu de Berlin 61%, 26%, 0%, 64% Bleu de France 79%, 39%, 0%, 9% Bleu de minuit 100%, 50%, 0%, 60% Bleu de Prusse 61%, 26%, 0%, 64% Bleu denim 96%, 56%, 0%, 0% Bleu des mers du sud 100%, 0%, 0%, 20% Bleu dragĂ©e 13%, 5%, 0%, 0% Bleu Ă©gyptien 90%, 69%, 0%, 35% Bleu Ă©lectrique 83%, 54%, 0%, 0% Bleu guĂšde 44%, 25%, 0%, 40% Bleu horizon 23%, 14%, 0%, 35% Bleu majorelle 56%, 64%, 0%, 14% Bleu marine 96%, 55%, 0%, 70% Bleu maya 54%, 23%, 0%, 2% Bleu minĂ©ral 61%, 26%, 0%, 64% Bleu nuit 86%, 95%, 0%, 58% Bleu outremer 100%, 100%, 2%, 3% Bleu outremer 72%, 100%, 0%, 40% Bleu paon 96%, 17%, 0%, 44% Bleu persan 60%, 100%, 0%, 0% Bleu pĂ©trole 64%, 11%, 0%, 68% Bleu roi 79%, 39%, 0%, 9% Bleu saphir 99%, 73%, 0%, 29% Bleu sarcelle 100%, 0%, 0%, 44% Bleu smalt 100%, 67%, 0%, 40% Bleu tiffany 74%, 5%, 38%, 0% Bleu turquin 52%, 34%, 0%, 46 CĂŠrulĂ©um 84%, 17%, 0%, 7% Canard 97%, 10%, 0%, 40% CĂ©rulĂ© 52%, 14%, 0%, 5% Cyan 52%, 0%, 13%, 0% Cyan 83%, 0%, 0%, 2% FumĂ©e 17%, 7%, 0%, 12% GivrĂ© 38%, 0%, 0%, 18% Indigo 51%, 89%, 0%, 3% Indigo 57%, 100%, 0%, 58% Indigo du web 42%, 100%, 0%, 49% Klein 100%, 87%, 0%, 0% Klein 74%, 82%, 0%, 51% Lapis-lazuli 76%, 38%, 0%, 39% Lavande 36%, 44%, 0%, 7% Pastel 44%, 25%, 0%, 40% Pervenche 20%, 20%, 0%, 0% Turquoise 85%, 0%, 8%, 1% Blanc et nuances de blanc - Code CMJN Nom de la couleur Aperçu de la couleur Code couleur CMJN Blanc 0%, 0%, 0%, 0% AlbĂątre 0%, 0%, 0%, 0% Argile 0%, 0%, 0%, 6% Azur brume 6%, 0%, 0%, 0% Beige clair 0%, 0%, 10%, 40% Blanc cassĂ© 0%, 0%, 11%, 0% Blanc cĂ©ruse 0%, 0%, 0%, 0% Blanc crĂšme 0%, 5%, 27%, 1% Blanc d'argent 0%, 0%, 0%, 0% Blanc de lait 0%, 0%, 1%, 1% Blanc de lin 0%, 4%, 8%, 2% Blanc de platine 0%, 4%, 21%, 2% Blanc de plomb 0%, 0%, 0%, 0% Blanc de Saturne 0%, 0%, 0%, 0% Blanc de Troyes 0%, 0%, 6%, 0% Blanc de Zinc 3%, 0%, 0%, 0% Blanc d'Espagne 0%, 0%, 6%, 0% Blanc d'ivoire 0%, 0%, 17%, 0% Blanc Ă©cru 0%, 0%, 12%, 0% Blanc lunaire 4%, 0%, 0%, 0% Blanc neige 0%, 0%, 0%, 0% Blanc opalin 5%, 0%, 0%, 0% Blanc-bleu 0%, 0%, 0%, 0% Coquille d'oeuf 0%, 8%, 11%, 1% Cuisse de nymphe 0%, 9%, 6%, 0% Brun et nuances de brun - Code CMJN Nom de la couleur Aperçu de la couleur Code couleur CMJN Brun 0%, 34%, 81%, 64% Acajou 0%, 51%, 79%, 47% Alezan 0%, 38%, 77%, 35% Ambre 0%, 19%, 100%, 6% Auburn 0%, 61%, 92%, 38% BasanĂ© 0%, 22%, 53%, 45% Beige 0%, 14%, 37%, 22% Beige clair 0%, 0%, 10%, 40% Beigeasse 0%, 5%, 30%, 31% Bistre 0%, 30%, 49%, 76% Bistre 0%, 18%, 42%, 48% Bitume 0%, 22%, 49%, 69% Blet 0%, 34%, 81%, 64% Brique 0%, 65%, 80%, 48% Bronze 0%, 20%, 73%, 62% Brou de noix 0%, 46%, 94%, 75% Bureau 0%, 19%, 54%, 58% Cacao 0%, 23%, 40%, 62% Cachou 0%, 43%, 74%, 82% CafĂ© 0%, 34%, 99%, 73 % CafĂ© au lait 0%, 22%, 61%, 53% Cannelle 0%, 30%, 58%, 51% Caramel 0%, 60%, 100%, 51% ChĂątaigne 0%, 15%, 30%, 50% ChĂątain 0%, 22%, 53%, 45% Chaudron 0%, 38%, 89%, 48% Chocolat 0%, 36%, 62%, 65% Citrouille 0%, 45%, 80%, 13% Fauve 0%, 54%, 95%, 32% Feuille-morte 0%, 47%, 72%, 40% GrĂšge 0%, 7%, 19%, 27% Gris de maure 0%, 10%, 36%, 59% LavalliĂšre 0%, 38%, 76%, 44% Marron 0%, 53%, 100%, 65% MordorĂ© 0%, 34%, 81%, 47% Noisette 0%, 42%, 73%, 42% Orange brĂ»lĂ©e 0%, 58%, 100%, 20% Puce 0%, 72%, 88%, 69% Rouge bismarck 0%, 77%, 94%, 35% Rouge tomette 0%, 57%, 70%, 32% Rouille 0%, 43%, 85%, 40% Sang de boeuf 0%, 93%, 100%, 55% Senois 0%, 55%, 74%, 45% SĂ©pia 0%, 17%, 29%, 34% SĂ©pia 0%, 21%, 43%, 32% Tabac 0%, 47%, 81%, 38% Terre de Sienne 0%, 41%, 63%, 44% Terre d'ombre 0%, 7%, 27%, 62% Terre d'ombre 0%, 25%, 73%, 43% Vanille 0%, 8%, 32%, 12% Gris et nuances de gris - Code CMJN Nom de la couleur Aperçu de la couleur Code couleur CMJN Gris 0%, 0%, 0%, 62% Ardoise 16%, 12%, 0%, 58% Argent 0%, 0%, 0%, 19% Argile 0%, 0%, 0%, 6% Bis 0%, 6%, 15%, 54% Bistre 0%, 30%, 49%, 76% Bistre 0%, 18%, 42%, 48% Bitume 0%, 22%, 49%, 69% CĂ©ladon 21%, 0%, 9%, 35% ChĂątaigne 0%, 15%, 30%, 50% Etain oxydĂ© 0%, 0%, 0%, 27% Etain pur 0%, 0%, 0%, 7% FumĂ©e 17%, 7%, 0%, 12% GrĂšge 0%, 7%, 19%, 27% Gris acier 0%, 0%, 0%, 31% Gris anthracite 72%, 65%, 61%, 61% Gris de Payne 15%, 7%, 0%, 53% Gris fer 0%, 0%, 0%, 48% Gris fer 0%, 0%, 0%, 50% Gris Perle 0%, 0%, 0%, 19% Gris Perle 4%, 0%, 2%, 80% Gris souris 0 %, 0 %, 0 %, 38 % Gris tourterelle 0%, 8%, 8%, 27% Mastic 0%, 1%, 19%, 30% Pinchard 0%, 0%, 0%, 20% Plomb 6%, 1%, 0%, 49% Rose Mountbatten 0%, 280%, 0%, 40% Taupe 0%, 10%, 29%, 73% Tourdille 0%, 1%, 8%, 24% Jaune et nuances de jaune - Code CMJN Nom de la couleur Aperçu de la couleur Code couleur CMJN Jaune 0%, 0%, 100%, 0% Ambre 0%, 19%, 100%, 6% Aurore 0%, 20%, 62%, 0% Beurre 0%, 5%, 55%, 6% Beurre frais 0%, 4%, 45%, 0% BlĂ© 0%, 8%, 79%, 9% Blond 0%, 17%, 49%, 11% Boutton d'or 0%, 13%, 93%, 1% Bulle 0%, 11%, 41%, 7% Caca d'oie 0%, 0%, 94%, 20% Chamois 0%, 8%, 41%, 18% Champagne 0%, 4%, 27%, 2% Chrome 7%, 0%, 95%, 0% Chrome 0%, 0%, 98%, 0% Citron 3%, 0%, 76%, 0% Fauve 0%, 54%, 95%, 32% Flave 0%, 0%, 34%, 10% Fleur de soufre 0%, 0%, 58%, 0% Gomme-gutte 0%, 35%, 94%, 6% Jaune aurĂ©olin 0%, 12%, 72%, 6% Jaune banane 0%, 13%, 97%, 18% Jaune canari 4%, 0%, 95%, 6% Jaune chartreuse 13%, 0%, 100%, 0% Jaune de cobalt 0%, 6%, 100%, 0% jaune de Naples 0%, 6%, 26%, 0% Jaune d'or 0%, 10%, 97%, 6% Jaune impĂ©rial 0%, 11%, 79%, 0% Jaune mimosa 0%, 2%, 57%, 0% Jaune moutarde 4%, 0%, 100%, 19% Jaune nankin 0%, 9%, 57%, 3% Jaune olive 0%, 0%, 100%, 50% Jaune paille 0%, 11%, 72%, 0% Jaune poussin 0%, 8%, 62%, 3% MaĂŻs 0%, 13%, 54%, 0% Mars 0%, 12%, 65%, 7% Mastic 0%, 1%, 19%, 30% Miel 0%, 18%, 95%, 15% Ocre jaune 0%, 22%, 82%, 13% Ocre rouge 0%, 31%, 58%, 13% Or 0%, 18%, 94%, 0% Orpiment 0%, 17%, 89%, 1% Poil de chameau 0%, 34%, 81%, 29% Queue de vache 0%, 8% 43% 24% Queue de vache 0%, 10%, 31%, 34% Sable 0%, 8%, 25%, 12% Safran 0%, 12%, 91%, 5% Soufre 0%, 0%, 58%, 0% Topaze 0%, 6%, 54%, 2% Vanille 0%, 8%, 32%, 12% VĂ©nitien 0%, 27%, 64%, 9% Noir et nuances de noir - Code CMJN Nom de la couleur Aperçu de la couleur Code couleur CMJN Noir 0%, 0%, 0%, 100% Aile de corbeau 0%, 0%, 0%, 100% Brou de noix 0%, 46%, 94%, 75% Cassis 0%, 93%, 75%, 83% Cassis 0%, 97%, 78%, 77% Dorian 77%, 26%, 39%, 59 EbĂšne 0%, 0%, 0%, 100% Noir animal 0%, 0%, 0%, 100% Noir charbon 0%, 0%, 0%, 100% Noir d'aniline 18%, 41%, 0%, 91% Noir de carbone 0%, 26%, 47%, 93% Noir de fumĂ©e 0%, 26%, 47%, 93% Noir de jais 0%, 0%, 0%, 100% Noir d'encre 0%, 0%, 0%, 100% Noir d'ivoire 0%, 0%, 0%, 100% Noiraud 0%, 36%, 70%, 82% RĂ©glisse 0%, 20%, 33%, 82 Orange et nuances de orange - Code CMJN Nom de la couleur Aperçu de la couleur Code couleur CMJN Orange 0%, 46%, 93%, 7% Abricot 0%, 45%, 79%, 10% Aurore 0%, 20%, 62%, 0% Bis 0%, 6%, 21%, 5% Bisque 0%, 11%, 23%, 0% Carotte 0%, 56%, 85%, 5% Citrouille 0%, 45%, 80%, 13% Corail 0%, 73%, 100%, 9% Cuivre 0%, 42%, 100%, 30% Gomme-gutte 0%, 35%, 94%, 6% Mandarine 0%, 36%, 72%, 0% Melon 0%, 32%, 90%, 13% OrangĂ© 0%, 34%, 100%, 2% Orange brĂ»lĂ©e 0%, 58%, 100%, 20% Roux 0%, 54%, 95%, 32% Safran 0%, 12%, 91%, 5% Saumon 0%, 43%, 66%, 3% Tangerine 0%, 73%, 89%, 0% TannĂ© 0%, 49%, 99%, 35% Vanille 0%, 8%, 32%, 12% Ventre de biche 0%, 14%, 24%, 9% Rose et nuances de rose - Code CMJN Nom de la couleur Aperçu de la couleur Code couleur CMJN Rose 0%, 57%, 38%, 1% Bisque 0%, 11%, 23%, 0% Cerise 0%, 78%, 55%, 13% Chair 0%, 23%, 32%, 0% Coquille d'oeuf 0%, 8%, 11%, 1% Cuisse de nymphe 0%, 9%, 6%, 0% Framboise 0%, 78%, 64%, 22% Fushia 0%, 75%, 42%, 1% HĂ©liotrope 13%, 55%, 0%, 0% Incarnadin 0%, 41%, 37%, 0% Magenta 0%, 100%, 0%, 0% Magenta foncĂ© 0%, 100%, 0%, 50% Magenta fushia 0%, 100%, 47%, 14% Mauve 0%, 46%, 0%, 17% PĂȘche 0%, 25%, 28%, 1 Rose balais 0%, 46%, 27%, 23% Rose bonbon 0%, 74%, 37%, 2% Rose dragĂ©e 0%, 25%, 17%, 0% Rose Mountbatten 0%, 280%, 0%, 40% Rose thĂ© 0%, 47% 58%, 0% Rose vif 0%, 100%, 50%, 0% Saumon 0%, 43%, 66%, 3% Rouge et nuances de rouge - Code CMJN Nom de la couleur Aperçu de la couleur Code couleur CMJN Rouge 0%, 100%, 100%, 0% Amarante 0%, 72%, 59%, 43% Bordeaux 0%, 94%, 76%, 57% Brique 0%, 65%, 80%, 48% Cerise 0%, 94%, 94%, 27% Corail 0%, 73%, 100%, 9% Ecarlate 0%, 100%, 100%, 7% Fraise 0%, 75%, 75%, 25% Fraise Ă©crasĂ©e 0%, 78%, 78%, 36% Framboise 0%, 78%, 64%, 22% Fushia 0%, 75%, 42%, 1% Grenadine 0%, 76%, 73%, 9% Grenat 0%, 90%, 82%, 57% Incarnadin 0%, 41%, 37%, 0% Incarnat 0%, 56%, 51%, 0% Magenta 0%, 100%, 0%, 0% Magenta foncĂ© 0%, 100%, 0%, 50% Magenta fushia 0%, 100%, 47%, 14% Mauve 0%, 46%, 0%, 17% Nacarat 0%, 63%, 63%, 1% Ocre rouge 0%, 31%, 58%, 13% Passe-velours 0%, 72%, 59%, 43% Pourpre 0%, 91%, 59%, 38% Prune 0%, 84%, 36%, 49% Rose vif 0%, 100%, 50%, 0% Rouge alizarine 0%, 96%, 100%, 22% Rouge anglais 0%, 86%, 95%, 3% Rouge bismarck 0%, 77%, 94%, 35% Rouge bourgogne 0%, 88%, 88%, 58% Rouge capucine 0%, 63%, 70%, 0% Rouge cardinal 0%, 83%, 91%, 28% Rouge carmin 0%, 100%, 84%, 41% Rouge cinabre 0%, 89%, 99%, 14% Rouge cinabre 0%, 72%, 85%, 1% Rouge coquelicot 0%, 96%, 100%, 22% Rouge cramoisi 0%, 100%, 84%, 41% Rouge cramoisi 0%, 91%, 73%, 14% Rouge d'Andrinople 0%, 90%, 99%, 34% Rouge d'aniline 0%, 100%, 100%, 8% Rouge de falun 0%, 81%, 81%, 50% Rouge de mars 0%, 86%, 95%, 3% Rouge Ă©crevisse 0%, 83%, 99%, 26% Rouge feu 0%, 89%, 100%, 0% Rouge feu 0%, 71%, 100%, 0% Rouge garance 0%, 93%, 93%, 7% Rouge groseille 0%, 95%, 86%, 19% Rouge ponceau 0%, 96%, 100%, 22% Rouge rubis 0%, 92%, 58%, 12% Rouge sang 0%, 95%, 95%, 48% Rouge tomate 0%, 82%, 90%, 13% Rouge tomette 0%, 57%, 70%, 32% Rouge turc 0%, 90%, 99%, 34% Rouge vermillon 0%, 89%, 99%, 14% Rouge vermillon 0%, 72%, 85%, 1% Rouge-violet 0%, 89%, 33%, 22% Rouille 0%, 43%, 85%, 40% Sang de boeuf 0%, 93%, 100%, 55% Senois 0%, 55%, 74%, 45% Terracotta 0%, 62%, 55%, 20% Vermeil 0%, 96%, 87%, 13% Zizolin 9%, 98%, 0%, 53% Vert et nuances de vert - Code CMJN Nom de la couleur Aperçu de la couleur Code couleur CMJN Vert 100%, 0%, 100%, 0% Aigue-marine 51%, 0%, 0%, 3% Asperge 23%, 0%, 43%, 37% Bleu sarcelle 100%, 0%, 0%, 44% Canard 97%, 10%, 0%, 40% CĂ©ladon 21%, 0%, 9%, 35% GivrĂ© 38%, 0%, 0%, 18% Glauque 35%, 0%, 12%, 39% Hooker 66%, 0%, 90%, 69% Jade 42%, 0%, 38%, 9% Kaki 0%, 13%, 71%, 42% Menthe 88%, 0%, 58%, 28% Menthe Ă  l'eau 66%, 0%, 43%, 2% Sinople 86%, 0%, 86%, 42% Turquoise 85%, 0%, 8%, 1% Vert absinthe 43%, 0%, 66%, 13% Vert amande 34%, 0%, 45%, 23% Vert anglais 58%, 0%, 47%, 78% Vert anis 37%, 0%, 92%, 0% Vert avocat 34%, 0%, 98%, 49% Vert bouteille 92%, 0%, 92%, 58% Vert chartreuse 21%, 0%, 80%, 3% Vert citron 100%, 0%, 100%, 0% Vert de chrome 58%, 0%, 47%, 78% Vert de gris 10%, 0%, 10%, 35% Vert de vessie 72%, 0%, 88%, 53% Vert d'eau 27%, 0%, 25%, 5% Vert Ă©meraude 100%, 0%, 59%, 16% Vert empire 100%, 0%, 69%, 66% Vert Ă©pinard 41%, 0%, 0%, 69% Vert gazon 63%, 0%, 78%, 38% Vert impĂ©rial 100%, 0%, 69%, 66% Vert kaki 12%, 0%, 63%, 46% Vert lichen 31%, 0%, 35%, 24% Vert lime 38%, 0%, 78%, 1% Vert malachite 81%, 0%, 47%, 37% Vert mĂ©lĂšse 50%, 0%, 35%, 56% Vert militaire 13%, 0%, 34%, 60% Vert mousse 35%, 0%, 43%, 38% Vert olive 21%, 0%, 75%, 45% Vert opaline 32%, 0%, 11%, 13% Vert perroquet 76%, 0%, 69%, 5% Vert pin 99%, 0%, 8%, 53% Vert pistache 22%, 0%, 53%, 4% Vert poireau 54%, 0%, 36%, 35% Vert pomme 74%, 0%, 82%, 21% Vert prairie 59%, 0%, 72%, 16% Vert prasin 54%, 0%, 36%, 35% Vert printemps 100%, 0%, 50%, 0% Vert sapin 89%, 0%, 51%, 68% Vert sauge 34%, 0%, 28%, 38% Vert smaragdin 100%, 0%, 59%, 16% Vert tilleul 21%, 0%, 61%, 18% Vert vĂ©ronĂšse 21%, 0%, 59%, 56% Vert viride 51%, 0%, 16%, 49% Violet et nuances de violet - Code CMJN Nom de la couleur Aperçu de la couleur Code couleur CMJN Violet 33%, 100%, 0%, 40% AmĂ©thyste 19%, 54%, 0%, 35% Aubergine 0%, 100%, 27%, 78% Bleu persan 60%, 100%, 0%, 0% Byzantin 0%, 73%, 13%, 26% Byzantium 0%, 63%, 12%, 56% Cerise 0%, 78%, 55%, 13% Colombin 0%, 35%, 12%, 58% Fushia 0%, 75%, 42%, 1% Glycine 9%, 27%, 0%, 14% Gris de lin 11%, 14%, 0%, 7% HĂ©liotrope 13%, 55%, 0%, 0% Indigo 51%, 89%, 0%, 3% Indigo 57%, 100%, 0%, 58% Indigo du web 42%, 100%, 0%, 49% Lavande 36%, 44%, 0%, 7% Lie de vin 0%, 83%, 60%, 33% Lilas 13%, 51%, 0%, 18% Magenta 0%, 100%, 0%, 0% Magenta foncĂ© 0%, 100%, 0%, 50% Magenta fushia 0%, 100%, 47%, 14% Mauve 0%, 46%, 0%, 17% OrchidĂ©e 0%, 49%, 2%, 15% Parme 11%, 31%, 0%, 9% Pourpre 0%, 91%, 59%, 38% Prune 0%, 84%, 36%, 49% Rose bonbon 0%, 74%, 37%, 2% Rose vif 0%, 100%, 50%, 0% Rouge-violet 0%, 89%, 33%, 22% Violet d'Ă©vĂȘque 0%, 46%, 12%, 55% Violine 0%, 96%, 18%, 37% Zizolin 9%, 98%, 0%, 53% Pour partager Express conversion Choisir couleur HTML = RGB = CMJN = HSV = heure en minute Changer d'unitĂ©s Format PecisiĂłn Remarque Les rĂ©sultats fractionnaires sont arrondis au 1/64. Pour une rĂ©ponse plus prĂ©cise, veuillez sĂ©lectionner dĂ©cimal » dans les options au-dessus du rĂ©sultat. Remarque Vous pouvez augmenter ou diminuer la prĂ©cision de cette rĂ©ponse en sĂ©lectionnant le nombre de chiffres significatifs souhaitĂ©s dans les options au-dessus du rĂ©sultat. Remarque Pour obtenir un rĂ©sultat dĂ©cimal exact, veuillez sĂ©lectionner dĂ©cimal » dans les options au-dessus du rĂ©sultat. Formule affichĂ©e Convertissez Minutes Ă  Heure Voir le procĂ©dĂ© Montrer le rĂ©sultat au format exponentiel Minutes Convertissez Minutes Ă  Heure Heure table de minute en heure Minutes Heure 0min 1min 2min 3min 4min 5min 6min 7min 8min 9min 10min 11min 12min 13min 14min 15min 16min 17min 18min 19min Minutes Heure 20min 21min 22min 23min 24min 25min 26min 27min 28min 29min 30min 31min 32min 33min 34min 35min 36min 37min 38min 39min Minutes Heure 40min 41min 42min 43min 44min 45min 46min 47min 48min 49min 50min 51min 52min 53min 54min 55min 56min 57min 58min 59min Il y a actuellement 2605 Ă©leveurs enregistrĂ©s

33 1 87 64 13 48