A5052902086- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Advanced machining processes and optimization
- Antenna Design and Analysis
- Advanced Surface Polishing Techniques
- Inertial Sensor and Navigation
- Microwave Engineering and Waveguides
- Advanced Multi-Objective Optimization Algorithms
- Metabolomics and Mass Spectrometry Studies
- Geophysics and Gravity Measurements
- Viral Infectious Diseases and Gene Expression in Insects
- Advanced Chemical Sensor Technologies
- Gene expression and cancer classification
- Energy Harvesting in Wireless Networks
- Electrochemical Analysis and Applications
- Molecular Biology Techniques and Applications
- Laser Material Processing Techniques
- Advanced Antenna and Metasurface Technologies
- Gene Regulatory Network Analysis
- Analytical Chemistry and Chromatography
- Advanced Sensor and Control Systems
- Satellite Communication Systems
- Microgrid Control and Optimization
- Financial Reporting and Valuation Research
- Space Satellite Systems and Control
China Astronaut Research and Training Center
2017-2025
Johns Hopkins University
2002-2024
University of Baltimore
2024
Naval University of Engineering
2023
Qi2
2006-2022
Wuhan Polytechnic University
2022
North China University of Water Resources and Electric Power
2022
Shandong University of Science and Technology
2022
Northeastern University
2021
China Electronics Technology Group Corporation
2020
Surface-enhanced laser desorption/ionization (SELDI) is an affinity-based mass spectrometric method in which proteins of interest are selectively adsorbed to a chemically modified surface on biochip, whereas impurities removed by washing with buffer. This technology allows sensitive and high-throughput protein profiling complex biological specimens.We screened for potential tumor biomarkers 169 serum samples, including samples from cancer group 103 breast patients at different clinical...
The integration of mass spectrometry-based proteomics with next-generation DNA and RNA sequencing profiles tumors more comprehensively. Here this "proteogenomics" approach was applied to 122 treatment-naive primary breast cancers accrued preserve post-translational modifications, including protein phosphorylation acetylation. Proteogenomics challenged standard cancer diagnoses, provided detailed analysis the ERBB2 amplicon, defined tumor subsets that could benefit from immune checkpoint...
We previously selected a panel of 3 breast cancer biomarkers (BC1, BC2, and BC3) from serum samples collected at single hospital based on their collective contribution to the optimal separation patients noncancer controls by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). The identities general applicability these markers, however, were unknown. In this study, we performed protein expression profiling obtained second hospital, included greater...
Abstract Protein expression profiling has been increasingly used to discover and characterize biomarkers that can be for diagnostic, prognostic or therapeutic purposes. Most proteomic studies published date have identified relatively abundant host response proteins as candidate biomarkers, which are often dismissed because of an apparent lack specificity. We demonstrate 2 previously markers early stage ovarian cancer, transthyretin inter‐alpha trypsin inhibitor heavy chain 4 (ITIH4),...
Currently, serum prostate-specific antigen (PSA) is used for the early detection of prostate cancer despite its low specificity in range 4−10 ng/mL. Because aberrant glycosylation a fundamental characteristic tumor genesis, objective this study was to investigate whether changes PSA may be improve PSA. We developed five lectin immunosorbant assays analyze patterns serum. Each assay sandwiches between monoclonal antibody and biotinylated then tags biotin complex using streptavidin SULFO TAG...
This report and a companion describe validation of the ability serum proteomic profiling via SELDI-TOF mass spectrometry to detect prostatic cancer. Details this 3-stage process have been described. describes development algorithm results blinded test for stage 1.We derived decision used in study from analysis samples patients with prostate cancer (n = 181) benign hyperplasia (BPH) 143) normal controls 220). We also set separate, geographically diverse 42 without Aliquots were subjected...
The Synthetic Biology Open Language (SBOL) is a standard that enables collaborative engineering of biological systems across different institutions and tools. SBOL developed through careful consideration recent synthetic biology trends, real use cases, consensus among leading researchers in the field members commercial biotechnology enterprises. We demonstrate discuss how set SBOL-enabled software tools can form an integrated, cross-organizational workflow to recapitulate design one largest...
Safety and stability are critical in manned space missions, requiring an environmental control life support system (ECLSS) of spacecraft to operate reliably. This study analyzed the time-series characteristics telemetry data, including total pressure, temperature, humidity, predict ECLSS’s operational state. Existing algorithms for forecasting, ARIMA, LSTM, TCN, NBEATS, often struggle with long-sequence forecasting discrepancies data distribution, which hinder their ability deliver accurate...
With the accelerating penetration of photovoltaics (PVs) and electric vehicles (EVs), distribution networks face risks voltage violations fluctuations. On one hand, conventional regulation resources like OLTC transformers capacitor banks feature slow response limited lifetime duration, making them incapable quickly responding to temporary issues created by PVs EVs. other EVs interact with power grid via fully controllable electronic converters capable real-time adjusting their operating...
Proteomics analysis is important for characterizing tissues to gain biological and pathological insights, which could lead the identification of disease-associated proteins disease diagnostics or targeted therapy. However, are commonly embedded in optimal cutting temperature medium (OCT) formalin-fixed paraffin-embedded (FFPE) order maintain tissue morphology histology evaluation. Although several proteomic analyses have been performed on FFPE using advanced mass spectrometry (MS)...
Abstract Summary: We have developed an integrated molecular network learning method, within a well-grounded mathematical framework, to construct differential dependency networks with significant rewiring. This knowledge-fused (KDDN) implemented as Java Cytoscape app, can be used optimally integrate prior biological knowledge measured data simultaneously both common and networks, quantitatively assign model parameters rewiring p-values provide user-friendly graphical results. The KDDN...
A novel design of a compact dual inverted C-shaped slots antenna for dual-band (IEEE 802.11b/g, 2.4{2.484GHz and IEEE 802.11a, 5.15{5.35/5.725{5.825GHz) WLAN applications is proposed in this paper. The based on -shaped feeding structure. These fundamental conflgurations are applied to achieve two operating bands with resonating frequencies at about 2.45GHz 5.5GHz cover the bands. fabricated tested. simulated measured results show that slot obtains independent operation 2.4{2.515GHz...
In this paper, we demonstrate that the superposition of two vortex beams with controlled topological charges can be realized by integrating holographic plates blazed grating. First, plate grating was designed and fabricated laser direct writing for generating well-separated beam. Then, relationship between periods discrete angles systemically investigated. Finally, through setting angle different revolving direction plates, composite fork-shaped field in a particular position. The (l = 1, 0,...
The mass spectrometer filament current sensor reflects the health status of by detecting real-time variation in current, providing an ideal means to monitor safe use filament. However, complex and changing environment inside outside often affects sensor, so it is important perform fault diagnosis calibration sensor. To address problems low identification accuracy high error a single due insufficient samples, convolutional neural network long short-term memory (CNN-LSTM)-based adaptive...
Due to the disadvantages such as complex calculation, low accuracy of estimation, and being non real time in present methods, a new real-time algorithm is developed for on-orbit magnetometer bias determination micro-satellites without attitude knowledge this paper. This method uses differential value approach. It avoids impact quartic nature iterative satisfy applications. Simulation results indicate that more accurate compared with other which are also tested by an experiment system using...
The food hygiene problems caused by bacterial biofilms in processing equipment are directly related to human life safety and health. Therefore, it is of great strategic significance study new sterilization technology. An acidic electrolyzed water (AEW) disinfectant an electrochemical technology which has the characteristics wide adaptability, high efficiency, environmental friendliness. However, since efficiency AEW for not ideal, necessary increase available chlorine content (ACC) AEW. A...
Favorable propagation (FP) defined as orthogonality of channel vectors associated with different users is a key assumption in massive MIMO systems. In this paper, theoretical analysis on asymptotically FP sparse millimeter-wave (mmWave) provided under the that angle arrival (AOA) follows wrapped Gaussian and truncated Laplacian distributions which are practical used to model AOA 3D standards. Further, we theoretically prove satisfied condition uniform distribution special case our results....