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Indolyl Alkaloid Derivatives, Nb-Acetyltryptamine and Oxaline from a Marine-Derived Fungus
YongLi,XiFengLi,DongSooKim,HongDaeChoi,ByengWhaSon 대한약학회 2003 Archives of Pharmacal Research Vol.26 No.1
Indolyl alkaloids, Nb-acetyltryptamine (1) and the known oxaline (2) have been isolated from the organic extract of the broth of an unidentified fungus collected from the surface of the marine red alga Gracilaria verrucosa. The structure of Nb-acetyltryptamine (1) was assigned on the basis of comprehensive spectroscopic analyses.
A Density Peak Clustering Algorithm Based on Information Bottleneck
Yongli Liu,Congcong Zhao,Hao Chao 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.6
Although density peak clustering can often easily yield excellent results, there is still room for improvementwhen dealing with complex, high-dimensional datasets. One of the main limitations of this algorithm is itsreliance on geometric distance as the sole similarity measurement. To address this limitation, we drawinspiration from the information bottleneck theory, and propose a novel density peak clustering algorithm thatincorporates this theory as a similarity measure. Specifically, our algorithm utilizes the joint probabilitydistribution between data objects and feature information, and employs the loss of mutual information as themeasurement standard. This approach not only eliminates the potential for subjective error in selectingsimilarity method, but also enhances performance on datasets with multiple centers and high dimensionality. To evaluate the effectiveness of our algorithm, we conducted experiments using ten carefully selected datasetsand compared the results with three other algorithms. The experimental results demonstrate that our informationbottleneck-based density peaks clustering (IBDPC) algorithm consistently achieves high levels of accuracy,highlighting its potential as a valuable tool for data clustering tasks.
Incremental fuzzy clustering based on a fuzzy scatter matrix
Yongli Liu,Hengda Wang,Tianyi Duan,Jingli Chen,Hao Chao 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.2
For clustering large-scale data, which cannot be loaded into memory entirely, incremental clustering algorithmsare very popular. Usually, these algorithms only concern the within-cluster compactness and ignore thebetween-cluster separation. In this paper, we propose two incremental fuzzy compactness and separation (FCS)clustering algorithms, Single-Pass FCS (SPFCS) and Online FCS (OFCS), based on a fuzzy scatter matrix. Firstly, we introduce two incremental clustering methods called single-pass and online fuzzy C-meansalgorithms. Then, we combine these two methods separately with the weighted fuzzy C-means algorithm, sothat they can be applied to the FCS algorithm. Afterwards, we optimize the within-cluster matrix and betweenclustermatrix simultaneously to obtain the minimum within-cluster distance and maximum between-clusterdistance. Finally, large-scale datasets can be well clustered within limited memory. We implemented experimentson some artificial datasets and real datasets separately. And experimental results show that, compared withSPFCM and OFCM, our SPFCS and OFCS are more robust to the value of fuzzy index m and noise.
Fine Mapping and Candidate Gene Analysis of the Floury Endosperm Gene, FLO(a), in Rice
Yongli Qiao,Song-I Lee,Rihua Piao,Wenzhu Jiang,함태호,진중현,Zhongze Piao,Longzhi Han,강시용,Hee-Jong Koh 한국분자세포생물학회 2010 Molecules and cells Vol.29 No.2
In addition to its role as an energy source for plants, ani-mals and humans, starch is also an environmentally friendly alternative to fossil fuels. In rice, the eating and cooking quality of the grain is determined by its starch properties. The floury endosperm of rice has been ex-plored as an agronomical trait in breeding and genetics studies. In the present study, we characterized a floury endosperm mutant, flo(a), derived from treatment of Oryza sativa ssp. japonica cultivar Hwacheong with MNU. The innermost endosperm of the flo(a) mutant exhibited floury characteristics while the outer layer of the endosperm appeared normal. Starch granules in the flo(a) mutant formed a loosely-packed crystalline structure and X-ray diffraction revealed that the overall crystallinity of the starch was decreased compared to wild-type. The FLO(a) gene was isolated via a map-based cloning approach and predicted to encode the tetratricopeptide repeat domain-containing protein, OsTPR. Three mutant alleles contain a nucleotide substitution that generated one stop codon or one splice site, respectively, which presumably disrupts the interaction of the functionally conserved TPR motifs. Taken together, our map-based cloning approach pin-pointed an OsTPR as a strong candidate of FLO(a), and the proteins that contain TPR motifs might play a significant role in rice starch biosynthetic pathways.
PSA: A Photon Search Algorithm
Yongli Liu,Renjie Li 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.2
We designed a new metaheuristic algorithm named Photon Search Algorithm (PSA) in this paper, which ismotivated by photon properties in the field of physics. The physical knowledge involved in this paper includesthree main concepts: Principle of Constancy of Light Velocity, Uncertainty Principle and Pauli ExclusionPrinciple. Based on these physical knowledges, we developed mathematical formulations and models of theproposed algorithm. Moreover, in order to confirm the convergence capability of the algorithm proposed, wecompared it with 7 unimodal benchmark functions and 23 multimodal benchmark functions. Experimentalresults indicate that PSA has better global convergence and higher searching efficiency. Although theperformance of the algorithm in solving the optimal solution of certain functions is slightly inferior to that ofthe existing heuristic algorithm, it is better than the existing algorithm in solving most functions. On balance,PSA has relatively better convergence performance than the existing metaheuristic algorithms.
Global stability of the positive equilibrium of a mathematical model for unstirred membrane reactors
Yongli Song,Tonghua Zhang 대한수학회 2017 대한수학회보 Vol.54 No.2
This paper devotes to the study of a diffusive model for unstirred membrane reactors with maintenance energy subject to a homogeneous Neumann boundary condition. It shows that the unique constant steady state is globally asymptotically stable when it exists. This result further implies the non-existence of the non-uniform steady state solution.
Highly elastic aerogel derived from spent coffee grounds as oil removal adsorbent
Yongli Chen,Weijie Cai,Meng Zhang,Meiying Xie,Fengzhi Tan,Fan Yang 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.6
In the face of increasing environmental pollution, aerogels have emerged as valuable materials for potentialoil/water separation. However, many of the currently developed aerogels have unsatisfactory compressibility, high costand a single hydrophobic modification method, which limits larger-scale application. In this work, a type of aerogelwith compressible, inexpensive, and fully biodegradable features was designed via a novel zirconium chloride modificationstrategy. Typically, a series of aerogels (HCSW-1, HCSW-2, and HCSW-3) were readily prepared from a mixture ofspent coffee grounds, waste paper and sodium alginate. The prepared aerogels exhibited good elasticity, low density(0.024 g cm3), high porosity (98.3%), efficient oil/water separation and good oil uptake (23-44 times of its weight). Inaddition, the as-prepared aerogels can be easily recycled several times, thus meeting the demand of actual oil/waterseparation. Such prominent results provide a new perspective for the development of efficient hydrophobic aerogels inthe treatment of offshore oil spills and industrial wastewater.