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Technical recommendations for analyzing oxylipins by liquid chromatography-mass spectrometry

Author(s): Schebb NH; Kampschulte N; Hagn G; Plitzko K; Meckelmann SW; Ghosh S; Joshi R; Kuligowski J; Vuckovic D; Botana MT; Sánchez-Illana Á; Zandkarimi F; Das A; Yang J; Schmidt L; Checa A; Roche HM; Armando AM; Edin ML; Lih FB; Aristizabal-Hena ...

Several oxylipins are potent lipid mediators that regulate diverse aspects of health and disease and whose quantitative analysis by liquid chromatography-mass spectrometry (LC-MS) presents substantial technical challenges. As members of the lipidomics community, we developed technical recommendat ...

Article GUID: 40392938


Semantically-Enhanced Feature Extraction with CLIP and Transformer Networks for Driver Fatigue Detection

Author(s): Gao Z; Chen X; Xu J; Yu R; Zhang H; Yang J;

Drowsy driving is a leading cause of commercial vehicle traffic crashes. The trend is to train fatigue detection models using deep neural networks on driver video data, but challenges remain in coarse and incomplete high-level feature extraction and network architecture optimization. This paper pioneers the use of the CLIP (Contrastive Language-Image Pre- ...

Article GUID: 39771685


Identifying personalized barriers for hypertension self-management from TASKS framework

Author(s): Yang J; Zeng Y; Yang L; Khan N; Singh S; Walker RL; Eastwood R; Quan H;

Objective: Effective management of hypertension requires not only medical intervention but also significant patient self-management. The challenge, however, lies in the diversity of patients' personal barriers to managing their condition. The objective of this research is to identify and categorize personalized barriers to hypertension self-management ...

Article GUID: 39143621


Deep model integrated with data correlation analysis for multiple intermittent faults diagnosis.

Author(s): Yang J, Xie G, Yang Y, Zhang Y, Liu W

ISA Trans. 2019 May 30;: Authors: Yang J, Xie G, Yang Y, Zhang Y, Liu W

Article GUID: 31174854


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