A5081459459- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Advanced Image and Video Retrieval Techniques
- Industrial Vision Systems and Defect Detection
- Metabolomics and Mass Spectrometry Studies
- Advanced Neural Network Applications
- Ovarian function and disorders
- Reproductive Biology and Fertility
- Synthesis and Catalytic Reactions
- Landslides and related hazards
- Advanced SAR Imaging Techniques
- Advanced Biosensing Techniques and Applications
- Optical Systems and Laser Technology
- Face and Expression Recognition
- Endometrial and Cervical Cancer Treatments
- Glioma Diagnosis and Treatment
- Advanced Text Analysis Techniques
- Single-cell and spatial transcriptomics
- Agriculture, Soil, Plant Science
- Genomics and Phylogenetic Studies
- Pharmacogenetics and Drug Metabolism
- Geology and Paleoclimatology Research
- Web Data Mining and Analysis
- Lipid metabolism and disorders
- Ultrasonics and Acoustic Wave Propagation
Wuhan University
2022-2024
Beijing Institute of Technology
2022-2024
Communication University of China
2022
Beijing University of Civil Engineering and Architecture
2022
Beijing University of Technology
2022
Background Ovarian reserve is an important factor determining female reproductive potential. The number and quality of oocytes in patients with diminished ovarian (DOR) are reduced, even if vitro fertilization-embryo transfer (IVF-ET) used to assist their pregnancy, the clinical pregnancy rate live birth still low. Infertility caused by reduced one most difficult problems field reproduction. Follicular fluid microenvironment for oocyte survival, metabolic characteristics follicular can be...
Characterizing the tumor microenvironment at molecular level is essential for understanding mechanisms of tumorigenesis and evolution. However, specificity blood proteome in localized region its linkages with other systems difficult to investigate. Here, we propose a spatially multidimensional comparative proteomics strategy using glioma as an example. The signature was specifically identified by situ collection arterial venous from brain comparison peripheral blood. Also, integrating...
Four-dimensional (4D) data-independent acquisition (DIA)-based proteomics is a promising technology. However, its full performance restricted by the time-consuming building and limited coverage of project-specific experimental library. Herein, we developed versatile multifunctional deep learning model Deep4D based on self-attention that could predict collisional cross section, retention time, fragment ion intensity, charge state with high accuracies for both unmodified phosphorylated...
Accurate lipid quantification is essential to revealing their roles in physiological and pathological processes. However, difficulties the structural resolution of isomers hinder further accurate quantification. To address this challenge, we developed a novel stable-isotope N-Me aziridination strategy that enables simultaneous qualification unsaturated isomers. The one-step introduction 1-methylaziridine structure not only serves as an activating group for C═C bond facilitate positional...
Endometriosis is a common, estrogen-dependent chronic gynecological disease that endangers the reproductive system and systemic metabolism of patients. We aimed to investigate differences in metabolic profiles follicular fluid between infertile patients with endometriosis controls. A total 25 controls who were similar age, BMI, fertilization method ovulation induction treatment recruited this study. Metabolomics analysis was performed by two methods high-performance liquid chromatography...
This study aimed to examine the differential variations in metabolic composition of follicular fluid (FF) among normal-weight patients with polycystic ovary syndrome (PCOS) and controls identify potential biomarkers that may offer insights into early identification management these patients.
Mass spectrometry (MS)-based lipidomic has become a powerful tool for studying lipids in biological systems. However, lipidome analysis at the single-cell level remains challenge. Here, we report highly sensitive workflow based on nanoflow liquid chromatography and trapped ion mobility (TIMS)-MS. This approach enables high-coverage identification of landscape single-oocyte level. By using proposed method, comprehensive lipid changes porcine oocytes during their maturation were revealed. The...
Abstract The biological functions of lipids largely depend on their chemical structures. position C=C bonds is an essential attribute that determines the structures unsaturated lipids. Here, we developed a new type derivatization method for bond using aziridination reaction. This cyclization in based direct N-Me reaction olefins N -methyl- O -tosylhydroxylamine (TsONHCH 3 ) as aminating reagent. When combined with tandem MS analysis, this novel activation approach enables accurate...
This paper presents a method based on the support vector regression (SVR) model and grey wolf optimizer (GWO) algorithm to efficiently predict monostatic radar cross-section (mono-RCS) of complex objects over wide angular range frequency band. Using only small-size mono-RCS data as training set construct SVR model, proposed can accurate under arbitrary incident angle entire three-dimensional space. In addition, wideband prediction capability is significantly enhanced by incorporating...
In recent years, current mainstream feature masking distillation methods mainly function by reconstructing selectively masked regions of a student network from the maps teacher network. these methods, attention mechanisms can help to identify spatially important and crucial object-aware channel clues, such that reconstructed features are encoded with sufficient discriminative representational power similar features. However, previous feature-masking address homogeneous knowledge without...
Abstract Four-dimensional (4D) data-independent acquisition (DIA)-based proteomics is an emerging technology that has been proven to have high precursor ion sampling efficiency and higher identification specificity. However, the current 4D DIA still dependent on building of project-specific experimental library which time-consuming limits coverage for identification/quantification. Herein, a workflow by using predicted multi-dimensional in silico was established. A deep learning model Deep4D...
Short texts such as posts on Microblog contain much semantic information time, attitude, well topics, and how to extract topics in these has been widely concerned recently. However, the one hand, most topic models are aimed at long texts, cannot show a good performance short because of its sparsity. On other traditional ignore time factor documents. Nevertheless, hot issues Internet have an opinion life cycle, around issue tend emerge, develop vanish rapidly period time. As result, ignoring...
In this paper, a method based on support vector regression (SVR) using radial basis function (RBF) and the particle swarm optimization (PSO) algorithm is proposed to accurately predict electromagnetic (EM) scattering fields versus any incident angle at specific frequency we are interested in. Compared with simulation results by FEKO of moment (MoM), can monostatic RCS root-mean-square error (RMSE) less than −9 dBsm.