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| 1 | Inverted duplication including Endothelin 3 closely related to dermal hyperpigmentation in Silkie chickens显示文摘The dermal hyperpigmentation phenotype in chickens is controlled by the dominant fibromelanosis allele.One of the ten unique characteristics of Silkie chickens is the fibromelanosis phenotype,which is pigmentation in the dermal layer of the skin and connective tissue.In this study,we found a mutation of fibromelanosis,a genomic rearrangement that included an inverted duplication of endothelin3(EDN3),is responsible.We show that,as a stimulator of melanoblast proliferation,EDN3 expression was increased in silkie embryos and in both skin and muscle throughout adulthood.EDN3 expression led to an increase in expression of the downstream genes EDNRB2 and TYRP2,and was closely relate with the hyperpigmentation phenotype.We examined eight different Chinese chicken breeds showing hyperpigmentation and conclude that this structural genetic variant exists in all fibromelanosis chicken breeds. | Ming TIAN Suyun FANG Yanqiang WANG Xiaorong GU Chungang FENG Rui HAO Xiaoxiang HU Ning LI | 2014 | Frontiers of Agricultural Science and Engineering2014，1，2： | 1 |
| 2 | Retinomorphic hardware for in-sensor computing显示文摘Rapid developments in the Internet of Things and Artificial Intelligence trigger higher requirements for image perception and learning of external environments through visual systems.However,limited by von Neumann's bottleneck,the physical separation of sense,memory,and processing units in a conventional personal computer-based vision system tend to consume a significant amount of energy,time latency,and additional hardware costs.By integrating computational tasks of multiple functionalities into the sensors themselves,the emerging bio-inspired neuromorphic visual systems provide an opportunity to overcome these limitations.With high speed,ultralow power and strong adaptability,it is highly desirable to develop a neuromorphic vision system that is based on highly precise in-sensor computing devices,namely retinomorphic devices.We here present a timely review of retinomorphic devices for visual in-sensor computing.We begin with several types of physical mechanisms of photoelectric sensors that can be constructed for artificial vision.The potential applications of retinomorphic hardware are,thereafter,thoroughly summarized.We also highlight the possible strategies to existing challenges and give a brief perspective of retinomorphic architecture for in-sensor computing. | Guangdi Feng Xiaoxu Zhang Bobo Tian Chungang Duan | 2023 | InfoMat2023，5，9： | 1 |
| 3 | A 3D Nonhydrostatic Compressible Atmospheric Dynamic Core by Multi-moment Constrained Finite Volume Method显示文摘A 3D compressible nonhydrostatic dynamic core based on a three-point multi-moment constrained finite-volume (MCV) method is developed by extending the previous 2D nonhydrostatic atmospheric dynamics to 3D on a terrainfollowing grid. The MCV algorithm defines two types of moments: the point-wise value (PV) and the volume-integrated average (VIA). The unknowns (PV values) are defined at the solution points within each cell and are updated through the time evolution formulations derived from the governing equations. Rigorous numerical conservation is ensured by a constraint on the VIA moment through the flux form formulation. The 3D atmospheric dynamic core reported in this paper is based on a three-point MCV method and has some advantages in comparison with other existing methods, such as uniform third-order accuracy, a compact stencil, and algorithmic simplicity. To check the performance of the 3D nonhydrostatic dynamic core, various benchmark test cases are performed. All the numerical results show that the present dynamic core is very competitive when compared to other existing advanced models, and thus lays the foundation for further developing global atmospheric models in the near future. | Qingchang QIN Xueshun SHEN Chungang CHEN Feng XIAO Yongjiu DAI Xingliang LI | 2019 | Advances in Atmospheric Sciences2019，36，10： | 0 |
| 4 | Genomic regions associated with the sex-linked inhibitor of dermal melanin in Silkie chicken显示文摘A unique characteristic of the Silkie chicken is its fibromelanosis phenotype.The dermal layer of its skin,its connective tissue and shank dermis are hyperpigmented.This dermal hyperpigmentation phenotype is controlled by the sex-linked inhibitor of dermal melanin gene(ID)and the dominant fibromelanosis allele.This study attempted to confirm the genomic region associated with ID.By genotyping,ID was found to be closely linked to the region between GGA_rs16127903 and GGA_rs14685542(8406919 bp)on chromosome Z,which contains ten functional genes.The expression of these genes was characterized in the embryo and 4 days after hatching and it was concluded that MTAP,encoding methylthioadenosinephosphorylase,would be the most likely candidate gene.Finally,target DNA capture and sequence analysis was performed,but no specific SNP(s)was found in the targeted region of the Silkie genome.Further work is necessary to identify the causal ID mutation located on chromosome Z. | Ming TIAN Rui HAO Suyun FANG Yanqiang WANG Xiaorong GU Chungang FENG Xiaoxiang HU Ning LI | 2014 | Frontiers of Agricultural Science and Engineering2014，1，3： | 0 |
| 5 | A Positivity-preserving Conservative Semi-Lagrangian Multi-moment Global Transport Model on the Cubed Sphere显示文摘A positivity-preserving conservative semi-Lagrangian transport model by multi-moment finite volume method has been developed on the cubed-sphere grid.Two kinds of moments(i.e.,point values(PV moment) at cell interfaces and volume integrated average(VIA moment) value) are defined within a single cell.The PV moment is updated by a conventional semi-Lagrangian method,while the VIA moment is cast by the flux form formulation to assure the exact numerical conservation.Different from the spatial approximation used in the CSL2(conservative semi-Lagrangian scheme with second order polynomial function) scheme,a monotonic rational function which can effectively remove non-physical oscillations is reconstructed within a single cell by the PV moments and VIA moment.To achieve exactly positive-definite preserving,two kinds of corrections are made on the original conservative semi-Lagrangian with rational function(CSLR)scheme.The resulting scheme is inherently conservative,non-negative,and allows a Courant number larger than one.Moreover,the spatial reconstruction can be performed within a single cell,which is very efficient and economical for practical implementation.In addition,a dimension-splitting approach coupled with multi-moment finite volume scheme is adopted on cubed-sphere geometry,which benefitsthe implementation of the 1 D CSLR solver with large Courant number.The proposed model is evaluated by several widely used benchmark tests on cubed-sphere geometry.Numerical results show that the proposed transport model can effectively remove nonphysical oscillations and preserve the numerical nonnegativity,and it has the potential to transport the tracers accurately in a real atmospheric model. | Jie TANG Chungang CHEN Xueshun SHEN Feng XIAO Xingliang LI | 2021 | Advances in Atmospheric Sciences2021，38，9： | 0 |
| 6 | An Adaptive Nonhydrostatic Atmospheric Dynamical Core Using a Multi-Moment Constrained Finite Volume Method显示文摘An adaptive 2 D nonhydrostatic dynamical core is proposed by using the multi-moment constrained finite-volume(MCV) scheme and the Berger-Oliger adaptive mesh refinement(AMR) algorithm. The MCV scheme takes several pointwise values within each computational cell as the predicted variables to build high-order schemes based on single-cell reconstruction. Two types of moments, such as the volume-integrated average(VIA) and point value(PV), are defined as constraint conditions to derive the updating formulations of the unknowns, and the constraint condition on VIA guarantees the rigorous conservation of the proposed model. In this study, the MCV scheme is implemented on a height-based, terrainfollowing grid with variable resolution to solve the nonhydrostatic governing equations of atmospheric dynamics. The AMR grid of Berger-Oliger consists of several groups of blocks with different resolutions, where the MCV model developed on a fixed structured mesh can be used directly. Numerical formulations are designed to implement the coarsefine interpolation and the flux correction for properly exchanging the solution information among different blocks. Widely used benchmark tests are carried out to evaluate the proposed model. The numerical experiments on uniform and AMR grids indicate that the adaptive model has promising potential for improving computational efficiency without losing accuracy. | Pei HUANG Chungang CHEN Xingliang LI Xueshun SHEN Feng XIAO | 2022 | Advances in Atmospheric Sciences2022，39，3： | 0 |
| 7 | Associative learning of a three-terminal memristor network for digits recognition显示文摘Imitating the associative intelligence of the biological brain is attractive but is poorly achieved in hardware because the complex tunable connection in neural networks is difficult to reproduce. We develop a circuit composed of a three-terminal memristor network to reproduce the biological conditioning process artificially. The synaptic weight between co-firing neurons is strengthened simultaneously by generating a feedback signal from the integrate-and-fire neuron to the gate of the synaptic memristor. The network allows the multi-associative capacity of recalling more than one digit in one circuit. Both single and multi-associative learning for recalling digital images are achieved. Furthermore, all 10 digital images from “0” to “9” are successfully recalled in an associative network with such paralleling circuits. Assisted by this associative layer, a typical classification network effectively improves the recognition rate for fragmentary digital images.Our work sheds light on brain-inspired artificial associative memory and provides a strategy for applications,such as object recognition with partial features and similar scenes. | Yiming REN Bobo TIAN Mengge YAN Guangdi FENG Bin GAO Fangyu YUE Hui PENG Xiaodong TANG Qiuxiang ZHU Junhao CHU Chungang DUAN | 2023 | Science China(Information Sciences)2023，66，2： | 0 |
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