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7 papers found.
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Janus electrode with simultaneous management on gas and liquid transport for boosting oxygen reduction reaction

Oxygen reduction efficiency holds the key for renewable energy technologies including fuel cells and metal-air batteries, which involves coupling diffusion-reaction-conduction processes at the interface of catalyst/electrolyte, and thus rational electrode design facilitating mass transportation stands as a key issue for fast oxygen reduction reaction (ORR). Herein, we report a...

Recurrent, low-frequency coding variants contributing to colorectal cancer in the Swedish population

, Annika Lindblom. Resources: Annika Lindblom. Supervision: Annika Lindblom. Validation: Xiang Jiao, Wen Liu, Patrick Bryant, Jenny Ringdahl. Writing ± original draft: Xiang Jiao, Annika Lindblom. 9 / 12

Molecular basis of dimer formation during the biosynthesis of benzofluorene-containing atypical angucyclines

Biology and Medicinal Chemistry, College of Pharmacy and Department of Chemistry, University of Texas at Austin, Austin, TX, 78712, USAHung-wen Liu AuthorsSearch for Chunshuai Huang in:Nature Research ... Zhang in:Nature Research journals • PubMed • Google Scholar Search for Cheng-Shan Yuan in:Nature Research journals • PubMed • Google Scholar Search for Hung-wen Liu in:Nature Research journals • PubMed

Affect and subjectivity

, knowledge, and cosmogony around food. Wen Liu is a PhD candidate in Critical Social Psychology at the Graduate Center, City University of New York. As a multidisciplinary scholar, she draws on queer theory

Pancreatic cancer clusters and arsenic-contaminated drinking water wells in Florida

Background We sought to identify high-risk areas of pancreatic cancer incidence, and determine if clusters of persons diagnosed with pancreatic cancer were more likely to be located near arsenic-contaminated drinking water wells. Methods A total of 5,707 arsenic samples were collected from December 2000 to May 2008 by the Florida Department of Health, representing more than 5,000...

Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

Background The binding between peptide epitopes and major histocompatibility complex proteins (MHCs) is an important event in the cellular immune response. Accurate prediction of the binding between short peptides and the MHC molecules has long been a principal challenge for immunoinformatics. Recently, the modeling of MHC-peptide binding has come to emphasize quantitative...

SVRMHC prediction server for MHC-binding peptides

Background The binding between antigenic peptides (epitopes) and the MHC molecule is a key step in the cellular immune response. Accurate in silico prediction of epitope-MHC binding affinity can greatly expedite epitope screening by reducing costs and experimental effort. Results Recently, we demonstrated the appealing performance of SVRMHC, an SVR-based quantitative modeling...