Capacitive Transfer Cable and Its Performance in Comparison with Conventional Solid Insulated Cable

© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.© 2019 IEEE. With the development of offshore wind power, long-distance cable transmission is required to transmit fluctuating power. A Capacitive Transfer System (CTS) cable was proposed to decrease the line reactance to increase the transmission capability by the designed dielectric layers between strands and special connection of the strands. Because of the dielectric layers between strands, the paths of eddy currents between strands are blocked. In addition, the dielectric layers between strands work as a long capacitor to cancel the line inductive reactance. The geometry design of CTS IV L model is demonstrated in COMSOL. Finally, a set of laboratory tests are carried out to verify the reactive power compensation

Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis

Rheumatoid arthritis (RA) affects millions world-wide. While anti-TNF treatment is widely used to reduce disease progression, treatment fails in Bone-third of patients. No biomarker currently exists that identifies non-responders before treatment. A rigorous community-based assessment of the utility of SNP data for predicting anti-TNF treatment efficacy in RA patients was performed in the context of a DREAM Challenge (http://www.synapse.org/RA_Challenge). An open challenge framework enabled the comparative evaluation of predictions developed by 73 research groups using the most comprehensive available data and covering a wide range of state-of-the-art modelling methodologies. Despite a significant genetic heritability estimate of treatment non-response trait (h(2) = 0.18, P value = 0.02), no significant genetic contribution to prediction accuracy is observed. Results formally confirm the expectations of the rheumatology community that SNP information does not significantly improve predictive performance relative to standard clinical traits, thereby justifying a refocusing of future efforts on collection of other data