A5101858403- Graph Theory and Algorithms
- RNA modifications and cancer
- Advanced Graph Neural Networks
- Parallel Computing and Optimization Techniques
- Genomics and Phylogenetic Studies
- Advanced Proteomics Techniques and Applications
- Plasmonic and Surface Plasmon Research
- RNA and protein synthesis mechanisms
- Terahertz technology and applications
- Machine Learning in Materials Science
- Optical Network Technologies
- Planetary Science and Exploration
- Epigenetics and DNA Methylation
- Music Technology and Sound Studies
- Advanced Memory and Neural Computing
- ZnO doping and properties
- Turtle Biology and Conservation
- Advanced Biosensing Techniques and Applications
- Acoustic Wave Resonator Technologies
- Biochemical and Molecular Research
- Scientific Research and Discoveries
- Monoclonal and Polyclonal Antibodies Research
- Software System Performance and Reliability
- Semiconductor materials and devices
- Identification and Quantification in Food
Washington University in St. Louis
2020-2024
Zhejiang Ocean University
2024
Chinese Academy of Sciences
2020-2021
University of Chinese Academy of Sciences
2021
Institute of Semiconductors
2020-2021
The terahertz (THz) metamaterial biosensor has great potential for label-free and rapid specificity testing. Here, we designed two highly sensitive structures to detect the carcinoembryonic antigen (CEA) of cancer biomarker in early stages. There was about 29 GHz (500 ng/ml) resonance shift CEA with an insert grate metamaterial, which consistent simulation results. Moreover, concentration gained through relationship between marker frequency (Δ ƒ ). Our design detection methods may provide a...
Glycans modify protein, lipid, and even RNA molecules to form the regulatory outer coat on cells called glycocalyx. The changes in glycosylation have been linked initiation progression of many diseases. Thus, while significance is well established, a lack accessible methods characterize glycans has hindered ability understand their biological functions. Mass spectrometry (MS)-based generally at core most glycan profiling efforts; however, modern data-independent acquisition (DIA), which...
A comprehensive platform, SWAMNA, is reported, enabling general researchers to obtain information about nucleoside modifications.
The development of FPGA-based applications using HLS is fraught with performance pitfalls and large design space exploration times. These issues are exacerbated when the application complicated its dependent on input data set, as often case graph neural network approaches to machine learning. Here, we introduce HLPerf, an open-source, simulation-based evaluation framework for dataflow architectures that both supports early shortens cycle. We apply methodology GNNHLS, HLS-based benchmark...
Abstract Protein arginylation is an essential posttranslational modification (PTM) catalyzed by arginyl-tRNA-protein transferase 1 (ATE1) in mammalian systems. Arginylation features a post-translational conjugation of arginyl to protein, making it extremely challenging differentiate from translational arginine residues with the same mass protein sequence. Here we present general activity-based profiling (ABAP) platform for unbiased discovery substrates and their precise sites. This method...
The Advanced Particle-astrophysics Telescope (APT) is a planned space-based observatory designed to localize MeV TeV transients such as gamma-ray bursts in real time using onboard computational hardware. Antarctic Demonstrator for APT (ADAPT) prototype high-altitude balloon mission scheduled fly during the 2025-26 season. Gamma-ray-induced scintillations CsI tiles will be captured by perpendicular arrays of optical fibers running across both tile surfaces, well SiPM-based edge detectors...
Spatial overlap between the electromagnetic field and analytes is a key factor to improve sensitivity of label-free optical sensors. However, are limited by plasma local or decaying resonant mode outside cavity. In this paper, constructing bowtie triangle ring (BTR) metal microstructure array, high electric-field enhanced terahertz (THz) metamaterials (MMs) absorber proposed demonstrated. By tuning length splits BTR structure, greatly confined fields could be obtained in channel, resulting...
Herein, we designed several structures of GaAs/AlGaAs extended gate high electron mobility transistors (EG-HEMT) for cTnI detection, in order to explore the mechanism bio-detection, limit detection (LOD) as well application clinical detection. The experiment carried out that 50y structure EG-HEMT biosensor, whose electrode is 50 times large gate, has highest biological regulation ability ( δ). Meanwhile, concentration range using biosensor about 100 fg ml <sup...
We present GNNHLS, an open-source framework to comprehensively evaluate GNN inference acceleration on FPGAs via HLS, containing a software stack for data generation and baseline deployment FPGA implementations of 6 well-tuned HLS kernels. Evaluating 4 graph datasets with distinct topologies scales, the results show that GNNHLS achieves up 50.8× speedup 423× energy reduction relative CPU baselines. Compared GPU baselines, 5.16× 74.5× reduction.
The classification of the Uranoscopidae species is controversial and
The interest in MS-based analysis of modified nucleic acids is increasing due to the application therapeutics. However, there are few available integrated platforms for characterizing acid modifications. Herein, we report a general mass spectrometry-based SWATH platform identify and quantify both RNA DNA modifications, which call Analysis Modified Nucleic Acids (SWAMNA). SWAMNA incorporates search engine, NuMo Finder, enabling modifications native permethylated form. will aid discoveries...
The article investigates the use of near-memory processing to perform data integration tasks. Based on observation that most workloads have regular memory access patterns and varying computation intensities, authors develop a architecture accelerate execution transformation reduce their energy needs.
Short distance optical communication is challenging in significant part because the expense of constructing effective systems high. We describe an data system that designed to operate over very short distances (neighboring chips on a board) and compatible with traditional CMOS fabrication, substantially decreasing cost build relative previous approaches. Polarization division multiplexing exploited increase achievable rates.
The parallel execution of many graph algorithms is frequently dominated by data communication overheads between compute nodes. This bottleneck becomes even more pronounced in Near-Memory Processing (NMP) architectures with multiple memory cubes as local accesses are less expensive. Existing near-memory typically use partitioning methods a fixed vertex assignment, which limits their potential to improve performance and reduce energy consumption. Here, we argue that an NMP-based processing...
With the ever-growing popularity of Graph Neural Networks (GNNs), efficient GNN inference is gaining tremendous attention. Field-Programming Gate Arrays (FPGAs) are a promising execution platform due to their fine-grained parallelism, low-power consumption, reconfigurability, and concurrent execution. Even better, High-Level Synthesis (HLS) tools bridge gap between non-trivial FPGA development efforts rapid emergence new models. In this paper, we propose GNNHLS, an open-source framework...