Deep learning for peptide identification from metaproteomics datasets (open access)

Deep learning for peptide identification from metaproteomics datasets

This article explores a proposed deep-learning-based algorithm called DeepFilter for improving peptide identifications from a collection of tandem mass spectra. The authors find that DeepFilter is believed to generalize properly to new, previously unseen peptide-spectrum-matches and can be readily applied in peptide identification from metaproteomics data.
Date: July 8, 2021
Creator: Feng, Shichao; Sterzenbach, Ryan & Guo, Xuan
System: The UNT Digital Library
Design of high SERS sensitive substrates based on branched Ti nanorods (open access)

Design of high SERS sensitive substrates based on branched Ti nanorods

Article reports a rational design of branched titanium (Ti) nanorods formed by glancing angle physical vapor deposition and their applications as substrates for surface-enhanced Raman scattering (SERS). The authors investigation provides a mechanism to fabricate sensitive SERS sensors of Ti nanorods that are known to be thermally and chemically stable and compatible with silicon-based electronics.
Date: July 8, 2022
Creator: Abayomi M. Yussuf, Nosirudeen; Li, Jianlin; Jung, Yung Joon & Huang, Hanchen
System: The UNT Digital Library
MXene/graphene oxide nanocomposites for friction and wear reduction of rough steel surfaces (open access)

MXene/graphene oxide nanocomposites for friction and wear reduction of rough steel surfaces

Article describes how development of solid lubricant materials that render reliable performance in ambient conditions, are amenable to industrial size and design complexities, and work on engineered surfaces is reported. This report presents the holistic exploration and correlation of structure-property-processing pertaining to the advancement of solid lubrication science.
Date: July 8, 2023
Creator: Macknojia, Ali Zayaan; Ayyagari, Aditya; Shevchenko, Elena V. & Berman, Diana
System: The UNT Digital Library