Галерея 3025947

Галерея 3025947




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Галерея 3025947

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Number of cores and mm² per conductor






Benefits




High electrical performance due to 4 kV test voltage

Multifunctional application possibilities








Application range




Plant engineering Industrial machinery Heating and air-conditioning systems

In EMC-sensitive environments (electromagnetic compatibility)

Mainly used in dry, damp and wet interiors (including water-oil mixtures), but not for outdoor use

For fixed installation under medium mechanical load conditions, and applications with occasional flexing at free, non-continuously recurring movement without tensile load or compulsory guidance

Note: for the use of AWM (Appliance Wiring Material) cables in industrial machinery (USA) according to NFPA 79: please see the catalogue appendix table T29








Product features




Flame-retardant according to IEC 60332-1-2 and UL 1581 §1061 Cable Flame Test

Oil-resistant according to EN 50363-4-1: TM5

High degree of screening low transfer impedance (max. 250 Ω/km at 30 MHz)


























Norm references / Approvals




UL AWM Style 21098 CSA AWM I A/B II A/B

Multi-standard cables have conductor strands with nominal sizes in mm² or AWG/kcmil. The master size is mentioned in the table below, while the equivalent size of the other system can be found in the Appendix T16 of this catalogue. For this related secondary size the cross-section of the conductor mostly works out to be greater than the specified nominal value.








Product Make-up




Fine-wire strand made of bare copper wires

PVC core insulation

Cores twisted in layers

PVC inner sheath, grey

Tinned-copper braiding

PVC outer sheath, high oil-resistance, grey (similar to RAL 7001)














Classification ETIM 5





ETIM 5.0 Class-ID: EC000104

ETIM 5.0 Class-Description: Control cable


















Classification ETIM 6





ETIM 6.0 Class-ID: EC000104

ETIM 6.0 Class-Description: Control cable


















Core identification code





Black with white numbers acc. to VDE 0293-334


















Conductor stranding





Fine wire according to VDE 0295, class 5/IEC 60228 class 5
















































Minimum bending radius





Occasional flexing: 20 x outer diameter

Fixed installation: 6 x outer diameter


















Nominal voltage





HAR U0/U: 300/500 V

UL/CSA: 600 V


















Test voltage





4000 V


















Protective conductor





G = with GN-YE protective conductor

X = without protective conductor


















Temperature range





Occasional flexing: -5°C to +70°C UL/CSA: -5°C to +90°C

Fixed installation: -40°C to +70°C UL/CSA: +90°C














Protective cable conduit systems and cable carrier systems
Data communication systems for ETHERNET technology
Number of cores and mm² per conductor
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: Max Mustermann
ÖLFLEX® 191 CY - PVC control cable with UL/CSA AWM, oil-resistant, screened and flexible for various applications, UL/CSA: 600V
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BMC Plant Biol



v.11; 2011



PMC3025947










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Published online 2011 Jan 10. doi: 10.1186/1471-2229-11-7
1 Center for Grapevine Biotechnology, William H. Darr School of Agriculture, Missouri State University, Mountain Grove, MO 65711, USA
2 The Donald Danforth Plant Science Center, St. Louis, MO 63132, USA
3 College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing 100083, PR China
4 Department of Plant and Soil Sciences, University of Kentucky, Lexington, KY 40546, USA
Received 2010 Oct 12; Accepted 2011 Jan 10.
Copyright ©2011 Ali et al; licensee BioMed Central Ltd.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Additional file 1 Principal Component Analysis (PCA) of the eighteen set of microarray hybridization data . Six stages (Stage 33 to 38) are denoted by different colors. Filled rectangle, rectangle, and filled circle represent three biological replicates.
GUID: 0466C1B7-4755-4023-8689-57E1CA762CE3
Additional file 2 Hierarchical cluster analyses of the eighteen sets of data for assessing the quality of the data .
GUID: 02F6FB6C-2F5E-48BC-A888-D5557807187E
Additional file 3 Pearson correlation coefficient analysis of the eighteen set of data in pair-wise .
GUID: CE0C712B-4CF2-4982-AAD1-9CD607BC104D
Additional file 4 A list of 15,823 probe sets that exhibited significant variations along six stages (at p-value ≤ 0.001) . This list of probe sets was generated by conducting ANOVA on error-weighted intensity experiment definitions (EDs). Sequence description: Brief narrative description of gene annotation; Grand average: the average value of each probe set intensity across all factor levels in the ANOVA, and this average was computed after error-weighting; The Pooled Variance: the within mean square for each gene-analysis level item across all factor levels; Group p-value: the probability that the null hypothesis--that expression levels or differential expression ratio levels are not significantly different across factor levels--is not true. A low p-value indicates high confidence that the gene's expression level or ratio level is significantly different across the groups defined in the ANOVA.
GUID: 5E909D95-8A21-4030-87F2-71EA0D4B9130
Additional file 5 A list of 3,352 probe sets that exhibited significant variations along six stages (at p-value ≤ 0.001) with a ratio of more than 2 . The legends of each column are the same as in Additional file 4 . This list of probe sets was determined by conducting error-weighted ANOVA.
GUID: 0CDED939-42C5-4B2B-9322-82DD508B6526
Additional file 6 Cluster analysis of the transcript abundance of the differentially expressed 2,359 unigenes across six developmental berry skin stages .
GUID: D1CBD22B-9067-4F1A-9FCA-5A0607A8EB0C
Additional file 7 GenBank accession number, Genoscope number, TC number, GeneChip ID number, primer sequences, expected size and sequences of amplified DNA fragments of the genes that were analyzed in the berry skin of Norton and Cabernet Sauvignon by the quantitative real-time PCR (qPCR) . The qPCR-amplified DNA fragments were sequenced to verify the identity of each amplicon. Correlation coefficient analysis of the transcript levels between qPCR and microarray was also included.
GUID: 30EE142F-E668-40F1-AD91-88667AA83D6B
Coombe B, McCarthy M. Dynamics of grape berry growth and physiology of ripening. Aust J Grape Wine Res. 2000; 6 :131–135. doi: 10.1111/j.1755-0238.2000.tb00171.x. [ CrossRef ] [ Google Scholar ] Conde C, Silva P, Fontes N, Dias A, Tavares R, Sousa M, Agasse A, Delrot S, Geros H. Biochemical changes throughout grape berry development and fruit and wine quality. Food. 2007; 1 :1–22. [ Google Scholar ] Davies C, Boss P, Robinson S. Treatment of grape berries, a nonclimacteric fruit with a synthetic auxin, retards ripening and alters the expression of developmentally regulated genes. Plant Physiol. 1997; 115 :1155–1161. [ PMC free article ] [ PubMed ] [ Google Scholar ] Symons G, Davies C, Shavrukov Y, Dry I, Reid J, Thomas M. Grapes on steroids. Brassinosteroids are involved in grape berry ripening. Plant Physiol. 2006; 140 :150–158. doi: 10.1104/pp.105.070706. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ] Chervin C, El-Kereamy A, Roustan J, Latche A, Lamon J, Bouzayen M. Ethylene seems required for the berry development and ripening in grape, a non-climacteric fruit. Plant Sci. 2004; 167 :1301–1305. doi: 10.1016/j.plantsci.2004.06.026. [ CrossRef ] [ Google Scholar ] Coombe B. Research on development and ripening of the grape berry. Am J Enol Vitic. 1992; 43 :101–110. [ Google Scholar ] Deluc L, Grimplet J, Wheatley M, Tillett R, Quilici D, Osborne C, Schooley D, Schlauch K, Cushman J, Cramer G. Transcriptomic and metabolite analyses of Cabernet Sauvignon grape berry development. BMC Genomics. 2007; 8 (1):429. doi: 10.1186/1471-2164-8-429. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ] Pilati S, Perazzolli M, Malossini A, Cestaro A, Dematte L, Fontana P, Dal Ri A, Viola R, Velasco R, Moser C. Genome-wide transcriptional analysis of grapevine berry ripening reveals a set of genes similarly modulated during three seasons and the occurrence of an oxidative burst at veraison. BMC Genomics. 2007; 8 (1):428. doi: 10.1186/1471-2164-8-428. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ] Grimplet J, Deluc L, Tillett R, Wheatley M, Schlauch K, Cramer G, Cushman J. Tissue-specific mRNA expression profiling in grape berry tissues. BMC Genomics. 2007; 8 :187. doi: 10.1186/1471-2164-8-187. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ] Dixon RA, Xie DY, Sharma SB. Proanthocyanidins: a final frontier in flavonoid research? New Phytol. 2005; 165 :9–28. doi: 10.1111/j.1469-8137.2004.01217.x. [ PubMed ] [ CrossRef ] [ Google Scholar ] Adams DO. Phenolics and Ripening in Grape Berries. Am J Enol Vitic. 2006; 57 (3):249–256. [ Google Scholar ] Ficke A, Gadoury DM, Seem RC, Dry IB. Effects of ontogenic resistance upon establishment and growth of Uncinula necator on grape berries. Phytopathology. 2003; 93 :556–563. doi: 10.1094/PHYTO.2003.93.5.556. [ PubMed ] [ CrossRef ] [ Google Scholar ] Ficke A, Gadoury DM, Seem RC, Godfrey D, Dry IB. Host barriers and responses to Uncinula necator in developing grape berries. Phytopathology. 2004; 94 :438–445. doi: 10.1094/PHYTO.2004.94.5.438. [ PubMed ] [ CrossRef ] [ Google Scholar ] Gadoury DM, Seem RC, Ficke A, Wilcox WF. Ontogenic resistance to powdery mildew in grape berries. Phytopathology. 2003; 93 :547
Замужняя женщина показала сиськи
Эсперанца Гомез знает как разбудить любимого
Опытная дамочка принимает участие в сумасшедших оргиях и ей это очень нравится

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