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Pollack, Samuela,Igo Jr., Robert P.,Jensen, Richard A.,Christiansen, Mark,Li, Xiaohui,Cheng, Ching-Yu,Ng, Maggie C.Y.,Smith, Albert V.,Rossin, Elizabeth J.,Segrè,, Ayellet V.,Davoudi, Samaneh,Ta American Diabetes Association 2019 Diabetes Vol.68 No.2
<P>To identify genetic variants associated with diabetic retinopathy (DR), we performed a large multiethnic genome-wide association study. Discovery included eight European cohorts (<I>n</I> = 3,246) and seven African American cohorts (<I>n</I> = 2,611). We meta-analyzed across cohorts using inverse-variance weighting, with and without liability threshold modeling of glycemic control and duration of diabetes. Variants with a <I>P</I> value <1 × 10<SUP>−5</SUP> were investigated in replication cohorts that included 18,545 European, 16,453 Asian, and 2,710 Hispanic subjects. After correction for multiple testing, the C allele of rs142293996 in an intron of nuclear VCP-like (<I>NVL</I>) was associated with DR in European discovery cohorts (<I>P</I> = 2.1 × 10<SUP>−9</SUP>), but did not reach genome-wide significance after meta-analysis with replication cohorts. We applied the Disease Association Protein-Protein Link Evaluator (DAPPLE) to our discovery results to test for evidence of risk being spread across underlying molecular pathways. One protein–protein interaction network built from genes in regions associated with proliferative DR was found to have significant connectivity (<I>P</I> = 0.0009) and corroborated with gene set enrichment analyses. These findings suggest that genetic variation in <I>NVL,</I> as well as variation within a protein–protein interaction network that includes genes implicated in inflammation, may influence risk for DR.</P>
Simulation of the Electrical Resistance Sintering of Hardmetal Powders
Juan Manuel Montes,Francisco J. de la Viña,Íñigo Agote,Thomas Schubert,Francisco G. Cuevas,Yadir Torres,José María Gallardo,Jesús Cintas 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.2
The simulation of the electrical resistance sintering (ERS) of hardmetal powders has been studied. The ERS process canproduce a quick consolidation of electrical conductive powders by the simultaneous application of pressure and electricalcurrent. A model of the process has been developed, integrating three actions, namely, thermal, mechanical and electrical,and taking into account the nature of both the powders and the die where powders are placed. The model has been implementedin COMSOL Multiphysics, a finite element commercial program. This paper deals with the model fundamentals andhardmetal particular aspects, such as modelling properties of mixed powders and its thermal behaviour. Other parameters inthe model have been tuned to optimally fit the initial experimental data. To check simulation results, measurable parametershave been monitored during experimental tests with WC–6 wt% Co. Once the model was completed and put to work, resultsare discussed.
Breathing-Dependent Redox Activity in a Tetrathiafulvalene-Based Metal–Organic Framework
Souto, Manuel,Romero, Jorge,Calbo, Joaquí,n,Vitó,rica-Yrezá,bal, Iñ,igo J.,Zafra, José,L.,Casado, Juan,Ortí,, Enrique,Walsh, Aron,Mí,nguez Espallargas, Guille American Chemical Society 2018 JOURNAL OF THE AMERICAN CHEMICAL SOCIETY - Vol.140 No.33
<P/><P>“Breathing” metal–organic frameworks (MOFs) that involve changes in their structural and physical properties upon an external stimulus are an interesting class of crystalline materials due to their range of potential applications including chemical sensors. The addition of redox activity opens up a new pathway for multifunctional “breathing” frameworks. Herein, we report the continuous breathing behavior of a tetrathiafulvalene (TTF)-based MOF, namely <B>MUV-2</B>, showing a reversible swelling (up to ca. 40% of the volume cell) upon solvent adsorption. Importantly, the planarity of the TTF linkers is influenced by the breathing behavior of the MOF, directly impacting on its electrochemical properties and thus opening the way for the development of new electrochemical sensors. Quantum chemical calculations and Raman spectroscopy have been used to provide insights into the tunability of the oxidation potential.</P>