Reinforcing Innovation Effectiveness. A New Methodological Approach for Policy Evaluation

Innovation is considered an important competitiveness factor for companies and a source of wealth for economies. Therefore it is an important subject of policy intervention and regional development. The understanding of what innovation is has evolved in the past decades away from a purely technological definition – of new products and processes introduced on the market, to a wider one including organizational and marketing aspects or incremental innovation in low tech production companies and more recently, innovation in services (European Commission, 2008). Today, innovation is present in the discourse of politicians and business leaders. They see innovation as a positive value and as a solution to solve social problems and company’s competitiveness, so organizations are encouraged to adopt innovative practices through incentives and innovation policies. The main purpose of this paper is to propose a new methodological approach for public policy supporting innovation evaluation in a territorial based analysis. A new methodology which intended to contribute to strengthen and reinforcing the innovation effectiveness in firms and territory development resulting from support of public mechanisms

GWAS identifies an NAT2 acetylator status tag single nucleotide polymorphism to be a major locus for skin fluorescence

Aims/hypothesis Skin fluorescence (SF) is a non-invasive marker of AGEs and is associated with the long-term complications of diabetes. SF increases with age and is also greater among individuals with diabetes. A familial correlation of SF suggests that genetics may play a role. We therefore performed parallel genome-wide association studies of SF in two cohorts. Methods Cohort 1 included 1,082 participants, 35–67 years of age with type 1 diabetes. Cohort 2 included 8,721 participants without diabetes, aged 18–90 years. Results rs1495741 was significantly associated with SF in Cohort 1 (p \u3c 6 × 10−10), which is known to tag theNAT2 acetylator phenotype. The fast acetylator genotype was associated with lower SF, explaining up to 15% of the variance. In Cohort 2, the top signal associated with SF (p = 8.3 × 10−42) was rs4921914, also in NAT2, 440 bases upstream of rs1495741 (linkage disequilibrium r 2 = 1.0 for rs4921914 with rs1495741). We replicated these results in two additional cohorts, one with and one without type 1 diabetes. Finally, to understand which compounds are contributing to the NAT2–SF signal, we examined 11 compounds assayed from skin biopsies (n = 198): the fast acetylator genotype was associated with lower levels of the AGEs hydroimidazolones of glyoxal (p = 0.017). Conclusions/interpretation We identified a robust association between NAT2 and SF in people with and without diabetes. Our findings provide proof of principle that genetic variation contributes to interindividual SF and thatNAT2 acetylation status plays a major role

Inférer les capacités de dispersion et de migration : de l'échelle locale à l'échelle globale -

Dans le contexte actuel de changements climatiques, il est important de pouvoir connaître au mieux les capacités de migration et de déplacement des espèces. Jusqu'à présent, on utilisait des approches empiriques pour évaluer cette dynamique. Aujourd'hui, la science devient plus prédictive, utilisant des approches basées sur des modèles intégrateurs, comme celui présenté ici, le noyau de dispersion, qui décrit la répartition spatiale des graines dispersées à partir d'une source

Markers of inflammation predict the long-term risk of developing chronic kidney disease: a population-based cohort study

In animal models, inflammatory processes have been shown to have an important role in the development of kidney disease. In humans, however, the independent relation between markers of inflammation and the risk of chronic kidney disease (CKD) is not known. To clarify this, we examined the relationship of several inflammatory biomarker levels (high-sensitivity C-reactive protein, tumor necrosis factor-α receptor 2, white blood cell count, and interleukin-6) with the risk of developing CKD in a population-based cohort of up to 4926 patients with 15 years of follow-up. In cross-sectional analyses, we found that all these inflammation markers were positively associated with the outcome of interest, prevalent CKD. However, in longitudinal analyses examining the risk of developing incident CKD among those who were CKD-free at baseline, only tumor necrosis factor-α receptor 2, white blood cell count, and interleukin-6 levels (hazard ratios comparing highest with the lowest tertile of 2.10, 1.90, and 1.45, respectively), and not C-reactive protein (hazard ratio 1.09), were positively associated with incident CKD. Thus, elevations of most markers of inflammation predict the risk of developing CKD. Each marker should be independently verified

Inflammatory, Hemostatic, and Other Novel Biomarkers for Diabetic Retinopathy: The Multi-Ethnic Study of Atherosclerosis

Objective— There are conflicting data regarding relationships of systemic biomarkers of inflammation, hemostasis, and homocysteine with diabetic retinopathy. We examined these relationships in the Multi-Ethnic Study of Atherosclerosis. Research design and methods— A total of 921 participants with diabetes were included. Diabetic retinopathy was graded from retinal photographs. We defined two outcomes: any diabetic retinopathy and vision-threatening diabetic retinopathy (severe nonproliferative diabetic retinopathy or worse). Systemic markers analyzed were C-reactive protein, homocysteine, fibrinogen, plasmin- 2-antiplasmin complex (PAP), interleukin-6, D-dimer, factor VIII, serum creatinine, and urinary albumin-to-creatinine (UAC) ratio. Results— Prevalence of diabetic retinopathy was 33.2% and vision-threatening diabetic retinopathy 7.1%. After adjusting for established risk factors (diabetes duration, A1C, systolic blood pressure, waist-to-hip ratio, and use of diabetes medications), fibrinogen (odds ratio 1.14 [95% CI 1.01–1.32], P 0.05) and PAP (1.25 [1.05–1.50], P0.01) were associated with any diabetic retinopathy, while PAP (1.54 [1.13–2.11], P 0.007) and homocysteine (1.57 [1.16– 2.11], P 0.003) were associated with vision-threatening diabetic retinopathy. Only PAP remained significant after additional adjustment for serum creatinine and UAC ratio. Area under receiver-operator characteristic curve (AUROC) for diabetic retinopathy was constructed for established and novel risk factors. Established risk factors accounted for a 39.2% increase of the AUROC, whereas novel markers (fibrinogen, PAP, homocysteine, serum creatinine, and UAC ratio) only accounted for an additional 2.2%. Conclusions— There were few associations of novel markers of inflammation, hemostasis, and homocysteine with diabetic retinopathy after controlling for established risk factors. These data suggest that there is limited clinical use of these biomarkers for prediction of diabetic retinopathy

Risk Prediction of Coronary Heart Disease Based on Retinal Vascular Caliber (from the Atherosclerosis Risk In Communities [ARIC] Study)

Recent studies show that retinal vascular signs such as quantitative retinal vascular caliber are associated with an increased risk of incident coronary heart disease (CHD), but whether these retinal vascular signs add to the prediction of CHD over and above traditional CHD risk factors has not been addressed. We investigated whether these signs add to the prediction of CHD over and above the Framingham risk score amongst people (n=9,155) without diabetes selected from the Atherosclerosis Risk in Communities (ARIC) study. Incident CHD was ascertained using standardized methods and retinal vascular caliber and other retinal signs were measured from retinal photographs. After a mean of 8.8 years of follow up, there were 700 incident CHD events. Women with wider retinal venular caliber (hazard ratio 1.27 per 1 standard deviation increase [95% confidence interval, 1.08, 1.50]) and narrower retinal arteriolar caliber (1.31 per 1 standard deviation decrease [1.10, 1.56]) had a higher risk of incident CHD after adjusting for the Framingham risk score variables. The area under the receiver operator characteristic curve increased from 0.695 to 0.706 (1.7% increase) with the addition of retinal vascular caliber to the Framingham risk model. The risk prediction models with and without the retinal vascular caliber both fitted the data and were well calibrated for women. In men, retinal vascular caliber was not associated with CHD risk after adjustment. Other retinal vascular signs were not associated with 10-year incident CHD in men or women. In conclusion, although retinal vascular caliber independently predicts CHD risk in women, the incremental predictive ability over that of the Framingham model is modest, and unlikely to translate meaningfully into clinical practice

Origins of the Ambient Solar Wind: Implications for Space Weather

The Sun's outer atmosphere is heated to temperatures of millions of degrees, and solar plasma flows out into interplanetary space at supersonic speeds. This paper reviews our current understanding of these interrelated problems: coronal heating and the acceleration of the ambient solar wind. We also discuss where the community stands in its ability to forecast how variations in the solar wind (i.e., fast and slow wind streams) impact the Earth. Although the last few decades have seen significant progress in observations and modeling, we still do not have a complete understanding of the relevant physical processes, nor do we have a quantitatively precise census of which coronal structures contribute to specific types of solar wind. Fast streams are known to be connected to the central regions of large coronal holes. Slow streams, however, appear to come from a wide range of sources, including streamers, pseudostreamers, coronal loops, active regions, and coronal hole boundaries. Complicating our understanding even more is the fact that processes such as turbulence, stream-stream interactions, and Coulomb collisions can make it difficult to unambiguously map a parcel measured at 1 AU back down to its coronal source. We also review recent progress -- in theoretical modeling, observational data analysis, and forecasting techniques that sit at the interface between data and theory -- that gives us hope that the above problems are indeed solvable.Comment: Accepted for publication in Space Science Reviews. Special issue connected with a 2016 ISSI workshop on "The Scientific Foundations of Space Weather." 44 pages, 9 figure

Metformin and carotid intima-media thickness in never-smokers with type 1 diabetes: the REMOVAL trial

Aim: To determine whether metformin's effects on carotid artery intima‐media thickness (cIMT) in type 1 diabetes differ according to smoking status. Methods: Regression model effect estimates for the effect of metformin versus placebo (double‐blind) on carotid IMT were calculated as a subgroup analysis of the REMOVAL trial. Results: In 428 randomized participants (227 never‐smokers, 201 ever‐smokers), averaged mean carotid IMT progression (per year) was reduced by metformin versus placebo in never‐smokers (−0.012 mm, 95% CI −0.021 to −0.002; p = .0137) but not in ever‐smokers (0.003 mm, 95% CI −0.008 to 0.014; p = .5767); and similarly in non‐current smokers (−0.008 mm, 95% CI −0.015 to −0.00001; p = .0497) but not in current smokers (0.013 mm, 95% CI −0.007 to 0.032; p = .1887). Three‐way interaction terms (treatment*time*smoking status) were significant for never versus ever smoking (p = .0373, prespecified) and non‐current versus current smoking (p = .0496, exploratory). Averaged maximal carotid IMT progression (per year) was reduced by metformin versus placebo in never‐smokers (−0.020 mm, 95% CI −0.034 to −0.006; p = .0067) but not in ever‐smokers (−0.006 mm, 95% CI −0.020 to 0.008; p = .4067), although this analysis was not supported by a significant three‐way interaction term. Conclusions: This subgroup analysis of the REMOVAL trial provides additional support for a potentially wider role of adjunct metformin therapy in cardiovascular risk management in type 1 diabetes, particularly for individuals who have never smoked cigarettes