1000 resultados para 363.8
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El crucero se desarrolló en dos etapas, la primera en primavera 2010, de 4° a 11°25’S y la segunda en verano 2011, de 10°10’ a 17°23’S, entre 50 a 200 mn de la costa. La captura del recurso en la primera etapa fue 35.079,6 kg (25.669,1 kg de producción) y en la segunda 165.955,7 kg (123.229,5 kg de producción). La captura por unidad de esfuerzo por día de trabajo fluctuó de 2,9 a 4.292,6 kg/hora; 0,68 a 948,4 kg/línea; 0,07 a 99,8 kg/ línea*hora y 0,0017 a 2,4957 kg/pot*hora. La longitud del manto varió de 17 a 119 cm. Se registró hembras en estadio desovante III (51,5%), madurante II (21,6%); y machos en estadio evacuación III (85,1%) y virginales I (9,7%). Los grupos tróficos más importantes fueron: cefalópodos (% IRI= 66,4), crustáceos (% IRI= 23,7), peces (% IRI= 9,9). Las hembras presentaron: L∞ =111,233 cm LM, K=0,016, t0= 235 y los machos L∞ =99,718 cm LM, K=0,167 y t0=228,4; esta especie tiene una longevidad próxima o poco mayor a un año.
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BACKGROUND: The chemokine RANTES (regulated on activation, normal T-cell expressed and secreted)/CCL5 is involved in the pathogenesis of cardiovascular disease in mice, whereas less is known in humans. We hypothesised that its relevance for atherosclerosis should be reflected by associations between CCL5 gene variants, RANTES serum concentrations and protein levels in atherosclerotic plaques and risk for coronary events. METHODS AND FINDINGS: We conducted a case-cohort study within the population-based MONICA/KORA Augsburg studies. Baseline RANTES serum levels were measured in 363 individuals with incident coronary events and 1,908 non-cases (mean follow-up: 10.2±4.8 years). Cox proportional hazard models adjusting for age, sex, body mass index, metabolic factors and lifestyle factors revealed no significant association between RANTES and incident coronary events (HR [95% CI] for increasing RANTES tertiles 1.0, 1.03 [0.75-1.42] and 1.11 [0.81-1.54]). None of six CCL5 single nucleotide polymorphisms and no common haplotype showed significant associations with coronary events. Also in the CARDIoGRAM study (>22,000 cases, >60,000 controls), none of these CCL5 SNPs was significantly associated with coronary artery disease. In the prospective Athero-Express biobank study, RANTES plaque levels were measured in 606 atherosclerotic lesions from patients who underwent carotid endarterectomy. RANTES content in atherosclerotic plaques was positively associated with macrophage infiltration and inversely associated with plaque calcification. However, there was no significant association between RANTES content in plaques and risk for coronary events (mean follow-up 2.8±0.8 years). CONCLUSIONS: High RANTES plaque levels were associated with an unstable plaque phenotype. However, the absence of associations between (i) RANTES serum levels, (ii) CCL5 genotypes and (iii) RANTES content in carotid plaques and either coronary artery disease or incident coronary events in our cohorts suggests that RANTES may not be a novel coronary risk biomarker. However, the potential relevance of RANTES levels in platelet-poor plasma needs to be investigated in further studies.
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Colbertinus
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The Fiscal Division newsletter, published weekly during session and periodically during the interim.
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The Fiscal Division newsletter, published weekly during session and periodically during the interim.
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The Fiscal Division newsletter, published weekly during session and periodically during the interim.
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Eeva Murtomaa
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The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.
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Orders the implementation of a 10% across-the-board cut to state government spending.
