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Search Results: 1 - 10 of 23988 matches for " Yatao Jiang "
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Deep Exploration of Bifidobacteria through Metabolomics Study  [PDF]
Juan Li, Yatao Jiang, Yihao Shen, Qingzhi Li, Zhongke Sun
Journal of Biosciences and Medicines (JBM) , 2018, DOI: 10.4236/jbm.2018.65008
Abstract: Bifidobacteria are probiotic bacteria with multiple health-promoting properties for human being. The global market for probiotics, especially for bifidobacteria is booming. However, the entire market is still at an early stage as there is nearly no fine products developed yet except the whole bacterial cells. The maturation of metabolomics technologies make it possible to study complex mixture with high-throughput, comprehensive maps and libraries. Therefore, we prospect that metabolomics studies mainly based on liquid/gas chromatography-mass spectrometry (LC/GC-MS) can deepen our understanding in detail during the study of metabolic mechanisms of bifidobacteria. These studies can be conducted at three phases, including non-targeted, targeted metabolomic analysis of bifidobacteria, and specific metabolites production through metabolic engineering and fermentation. Metabolomic studies of bifidobacteria will allow us to fully explore their metabolic mechanisms and to utilize metabolites that contribute to human health. In particular, bifidobacteria derived conjugated linoleic acids and bacteriocins are two kinds of fined products that may have great potentials in the future and can be used as food additives.
Bioinformatic Survey of S-Layer Proteins in Bifidobacteria  [PDF]
Juan Li, Yihao Shen, Yatao Jiang, Le He, Zhongke Sun
Computational Molecular Bioscience (CMB) , 2018, DOI: 10.4236/cmb.2018.82003
Abstract: Surface layer (S-layer) proteins are one of the most commonly observed cell envelope components in both Archaea and Bacteria. It has versatile functions and holds considerable application potential in biotechnology. Bifidobacteria are representative probiotics conferring health promoting properties. However, there is little study of S-layer in bifidobacteria yet. The distribution and characteristics of S-layer in bifidobacteria are unknown. In this study, search for S-layer protein in the identical protein groups in NCBI yielded 49 hits belonging to bifidobacteria. These proteins were annotated as either “S-layer (domain) protein” or “putative S-layer (y) domain protein” that distributed among 26 species of Bifidobacterium genus. Multiple alignments suggest S-layer proteins are relatively conservative. Phylogenetic analysis of 24 S-layer (domain) protein sequences groups them into three distinct clusters, with the majority species in Cluster-2. S-layer (domain) protein has a universe motif DUF4381, though its function is unknown. Meanwhile, two other motifs CARDB and EphA2_TM involved in cell adhesion and cell signaling respectively, presented in most S-layer (domain) protein in bifidobacteria. All S-layer proteins have a typical N-terminal Sec-dependent signal peptide and a C-terminal trans-membrane region. Homological modeling of representative S-layer proteins from each cluster revealed a few unique structural features. All representative S-layer proteins have a plenty of β-meander motif that exclusively composed by β-barrel structural architectures linked together by hairpin loops.
Improved Cross Authentication Model Based on Threshold Method in Wireless Network
Yatao Yang,Shaoming Pan
International Journal of Distributed Sensor Networks , 2009, DOI: 10.1080/15501320802575013
Abstract: A novel cross authentication model is proposed based on (t, n) threshold method in Layered and Grouped Structure (LGS) wireless multi-hop network, the issues of cross authentication and secure communication between nodes in different trusted domains are settled. With no CA, new scheme of cross certificate being issued and validated is designed, by which, the node identification can be authenticated in different trusted domains.
A Modified Microstrip Wilkinson Power Divider with High Order Harmonics Suppression
Yatao Peng;Lijun Zhang;Yongqing Leng;Jin Guan
PIER C , 2013, DOI: 10.2528/PIERC12111605
Abstract: In this paper, a modified Wilkinson power divider structure with three order harmonics suppression is presented. The quarter-wavelength microstrip lines in the traditional Wilkinson power divider (WPD) are replaced by two transmission line segments with ends connected (TTLWEC). The TTLWEC performs the functions of impedance transformation and three order harmonics suppression. The design equations are deduced by odd- and even-mode theory. An example of power divider operating at 1 GHz is designed and fabricated based on the printed circuit board technology. The measured results of 3.13 dB insert loss (IL) and 35 dB return loss (RL) are obtained at the operating frequency, and the first, second and third harmonic harmonics suppressions are -38 dB, -44 dB and -39 dB, respectively, which agree well with the simulated results and validate the availability of the proposed structure.
A Compact Tri-Band Passband Filter Based on Three Embedded Bending Stub Resonators
Yatao Peng;Lijun Zhang;Yongqing Leng;Jin Guan
PIER Letters , 2013, DOI: 10.2528/PIERL12111804
Abstract: A microstrip tri-band bandpass filter (BPF) based on three embedded bending stub resonators (EBSRs) is proposed in this paper. Three resonant paths that resonate at three different frequencies can achieve three passbands. The lumped circuit models of the proposed filter are given for designing. The filter is extremely compact, whose area is about 0.047λ×0.12λ. There are two transmission zeros located between the first two passbands and a transmission zero between the second and third passbands, which results in good selectivity. For demonstrating the proposed filter structure, a filter at 0.9/2.14/3.6 GHz is designed and fabricated. The measured results are well agreed with simulated ones, which indicate the validity.
Improved Decoding Algorithm for BCH Code
Du Yatao,Zhong Zhi,Zhang Hailong,Gong Fang
Information Technology Journal , 2010,
Abstract: To improve the decoding speed and reduce the memory cost of the look-up table decoding method for binary BCH code, an improved decoding algorithm which can correct three possible errors in (15,5,7) BCH code is proposed. The algorithm makes use of the properties of system codes, the hamming weight of syndrome patterns and the look-up table to decode. The reduced look-up table contains syndrome patterns and corresponding error patterns which have errors occurred only in the message block of the received codeword, which makes the proposed algorithm reduce about 95% memory size compared with the traditional look-up table algorithm. Moreover, the hardware decoder based on this algorithm has a low complexity and a great fast decoding speed. The FPGA simulation shows that the decoding rate is 375 MHz at the 50 MHz system clock rate.
A Functional Representation Model Facilitating Design Space Expansion
Wei Xu,Ke Zhao,Yatao Li,Peitao Cheng
ISRN Mechanical Engineering , 2013, DOI: 10.1155/2013/686402
Abstract: This paper addresses the functional representation based on the event model. In the event model, the ontology is defined based on the theory of propositional logic to describe the connotation of the event, and the variant is defined based on the theories of domain relational calculus and set theory to express the variation range of the event, which is alterable part of the event under the constraints of the ontology. Function is an important concept in conceptual design and has its connotation and extension. The functional representation is proposed based on the event model. The ontology of event is used to describe the connotation of function and to reflect the stability of function. The variant of the event is used to represent the extension and to incarnate the variety of function. The extension of function is the change range of function under the constraints of the connotation. The proposed functional representation divides the function into the immutable part and the alterable part, facilitating the expansion of design space. A functional reasoning model is also put forward based on the event model to support the function reasoning on the computers. Finally, a simple case validates the feasibility of the model. 1. Introduction Product is the realization of functions. It is the core issue of product design to study and realize functions of products. The functional representation [1] is an important method to express a product and is vital in the whole design process. It is an important research content of the design theory and methodology. The functional representation functionally abstracts and describes the market demands and user requirements by computer analysis, highlights the design task, and facilitates finding out the novel design solutions. The basic concern of functional representation is how to represent the knowledge of functions [2]. The functional representation should meet the following three conditions.(1)The functional representation should be able to completely express the requirements of product design and should not lose information in the entire design process.(2)The functional representation should be convenient to realize the mapping and transformation functions to behaviours and structures.(3)The functional representation should contain constraint information. Constraints play a very important role in any design. The functional representation relies on constraints to limit the search space of design. In addition, the function serves as an important concept in the conceptual design and must have its connotation and extension.
Digitize Your Body and Action in 3-D at Over 10 FPS: Real Time Dense Voxel Reconstruction and Marker-less Motion Tracking via GPU Acceleration
Jian Song,Yatao Bian,Junchi Yan,Xu Zhao,Yuncai Liu
Computer Science , 2013,
Abstract: In this paper, we present an approach to reconstruct 3-D human motion from multi-cameras and track human skeleton using the reconstructed human 3-D point (voxel) cloud. We use an improved and more robust algorithm, probabilistic shape from silhouette to reconstruct human voxel. In addition, the annealed particle filter is applied for tracking, where the measurement is computed using the reprojection of reconstructed voxel. We use two different ways to accelerate the approach. For the CPU only acceleration, we leverage Intel TBB to speed up the hot spot of the computational overhead and reached an accelerating ratio of 3.5 on a 4-core CPU. Moreover, we implement an intensively paralleled version via GPU acceleration without TBB. Taking account all data transfer and computing time, the GPU version is about 400 times faster than the original CPU implementation, leading the approach to run at a real-time speed.
Parallel Coordinate Descent Newton Method for Efficient $\ell_1$-Regularized Minimization
Yatao Bian,Xiong Li,Yuncai Liu,Ming-Hsuan Yang
Computer Science , 2013,
Abstract: The recent years have witnessed advances in parallel algorithms for large scale optimization problems. Notwithstanding demonstrated success, existing algorithms that parallelize over features are usually limited by divergence issues under high parallelism or require data preprocessing to alleviate these problems. In this work, we propose a Parallel Coordinate Descent Newton algorithm using multidimensional approximate Newton steps (PCDN), where the off-diagonal elements of the Hessian are set to zero to enable parallelization. It randomly partitions the feature set into $b$ bundles/subsets with size of $P$, and sequentially processes each bundle by first computing the descent directions for each feature in parallel and then conducting $P$-dimensional line search to obtain the step size. We show that: (1) PCDN is guaranteed to converge globally despite increasing parallelism; (2) PCDN converges to the specified accuracy $\epsilon$ within the limited iteration number of $T_\epsilon$, and $T_\epsilon$ decreases with increasing parallelism (bundle size $P$). Using the implementation technique of maintaining intermediate quantities, we minimize the data transfer and synchronization cost of the $P$-dimensional line search. For concreteness, the proposed PCDN algorithm is applied to $\ell_1$-regularized logistic regression and $\ell_2$-loss SVM. Experimental evaluations on six benchmark datasets show that the proposed PCDN algorithm exploits parallelism well and outperforms the state-of-the-art methods in speed without losing accuracy.
Modified Gysel Power Divider with Harmonic Supperssion Performance
Jin Guan;Lijun Zhang;Zhengyu Sun;Yongqing Leng;Yatao Peng;Yuepeng Yan
PIER C , 2012, DOI: 10.2528/PIERC12062004
Abstract: This paper presents a modified Gysel power divider (PD) with harmonic suppression performance by utilizing equivalent Π-shaped, T-shaped and Π-T-hybrid-shaped open stubs transmission line (TL) models. Explicit closed-form expressions for generating parameters of the equivalent TL models are derived based on the ABCD matrix analysis. The proposed PD not only features suppression at the hoped harmonic frequencies and flexible layout, but also maintains Gysel PD's high power handling advantage. For demonstration, the simulated and experimental results of three proposed PDs at 1 GHz implemented on microstrip are given.
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