- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- Geophysical Methods and Applications
- Advanced Memory and Neural Computing
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Insect Resistance and Genetics
- Neural dynamics and brain function
- Viral Infectious Diseases and Gene Expression in Insects
- CRISPR and Genetic Engineering
- High-pressure geophysics and materials
- earthquake and tectonic studies
- Neural Networks and Applications
- Ferroelectric and Negative Capacitance Devices
- Geophysics and Sensor Technology
- Neuroscience and Neural Engineering
- Circular RNAs in diseases
- RNA Research and Splicing
- Archaeology and ancient environmental studies
- Cryptography and Data Security
- RNA and protein synthesis mechanisms
- Privacy-Preserving Technologies in Data
- Animal Genetics and Reproduction
- Stochastic Gradient Optimization Techniques
Shenzhen Institutes of Advanced Technology
2021-2024
Chinese Academy of Sciences
2014-2024
Peng Cheng Laboratory
2024
Hunan University of Technology
2021-2024
Institute of Geology and Geophysics
2017-2021
University of Chinese Academy of Sciences
2017-2021
National Supercomputing Center in Shenzhen
2018
Institute of Geodesy and Geophysics
2014-2017
State Key Laboratory of Geodesy and Earth's Dynamics
2014
Jilin University
2010
Abstract Background Germ-line transformation of insects is now a widely used method for analyzing gene function and the development genetically modified strains suitable pest control programs. The most transposable element germ-line piggyBac . site integration transgene can influence expression due to effects nearby transcription enhancers or silent heterochromatic regions. Position be minimized by flanking with insulator elements. scs/scs' gypsy insulators from Drosophila melanogaster as...
Drosophila dosage compensate (equalize X-linked gene products) by doubling the transcription of most genes in males. The MSL (male-specific lethal) ribonucleoprotein complex consisting at least five proteins and two non-coding RNAs (roX1 roX2) is essential for this response. Recently it has been shown that roX1 roX2 each contain one chromatin entry site complex. In study we show insertion either or DNA sequences, upstream an insulated lacZ reporter controlled with constitutive armadillo...
Abstract With the development of artificial intelligence technology, privacy protection has become a prominent research direction. Homomorphic encryption is an important and promising technology in construction privacy-preserving neural networks. However, computing nonlinear activation functions remains challenging task context homomorphic encryption. Considering Sigmoid one most commonly used functions, this paper proposes polynomial approximation method for function applies it to scheme...
Linearized inversion algorithms are the main techniques in seismic imaging that apply single-scattering (Born) approximation to scattered field, and therefore, have difficulty handling strong perturbation of model parameters nonlinear multiple-scattering effects. To theoretically overcome these drawbacks linearization inverse scattering problem, we developed an approach deal with double-scattering inversion. We first used integral equation formulation associated field consisting single...
Four-component ocean-bottom node (OBN) surveys allow for the imaging of subsurface elastic properties oil and gas exploration in deepwater environments. However, sparse acquisition sampling high-quality OBN data is challenging. To alleviate this problem, a common-receiver domain 4C Gaussian beam migration method based on reciprocity transformation that considers monopole/dipole characters sources receivers developed. Common-receiver also computationally efficient an survey wherein number...
Although the pseudoacoustic wave equation has good accuracy in characterizing anisotropic propagation and obtaining interpretable seismic images, a high-precision multiparameter inversion accounting for anisotropy from compressional wavefields is still confronted with challenges, even simple transversely isotropic (TI) case, due to complicated relationship between properties pressure data. To reduce difficulty correctly inverting surface data media, an appropriate parameterization necessary....
The Sumatra subduction zone is located in the southwest of Suna plate, between Euro-Asia Plate and Indo-Austrilian Plates. With obliquely subducting toward Plate, complex tectonics, strong earthquakes volcanoes have been observed this area which has become a well experimental field used to study zone. In work, we employed receiver function method evaluate S-wave velocity structure beneath 5 broadband seismic stations along We selected 332 waveforms with intelligent software manual picking...
Spiking Neural Network (SNN) simulation is very important for studying brain function and validating the hypotheses neuroscience, it can also be used in artificial intelligence. Recently, GPU-based simulators have been developed to support real-time of SNN. However, these simulators' simulating performance scale are severely limited, due random memory access pattern global communication between devices. Therefore, we propose an efficient distributed heterogeneous SNN simulator based on...
Spiking neural network (SNN) simulators play an important role in system modeling and brain function research. They can help scientists reproduce explore neuronal activities regions, neuroscience, brain-like computing, other fields also be applied to artificial intelligence, machine learning, fields. At present, many using central processing unit (CPU) or graphics (GPU) have been developed. However, due the randomness of connections between neurons spiking events SNN simulation, this causes...
Remote sensing is a non-contact, long-distance detection technology. The reflection characteristics of seismic wave can be used to detect remote and non-contact targets. Based on the wave, underground structure in Tengchong Volcanic Area explored. In order further study deep magmatic activity crust volcanic area, we carried out one-year mobile observation. this paper, nine broadband stations were set up Area, 3350 receiver function waveforms collected. crustal thickness, average velocity...
Linearized algorithms based on the Born approximation are well-known and popular techniques for quantitative seismic imaging inversion. However, linearization methods usually suffer from some significant problems, such as computational cost required number of iterations, requirement background models, uncertain unstable multiparameter extraction, which make difficult to implement in practical applications. To avoid these we have developed an angle-domain generalized Radon transform (AD-GRT)...