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51.
A uniform framework is presented for biembedding Steiner triple systems obtained from the Bose construction using a cyclic group of odd order, in both orientable and nonorientable surfaces. Within this framework, in the nonorientable case, a formula is given for the number of isomorphism classes and the particular biembedding of Ducrocq and Sterboul (preprint 18pp., 1978) is identified. In the orientable case, it is shown that the biembedding of Grannell et al. (J Combin Des 6 ( 7 ), 325–336) is, up to isomorphism, the unique biembedding of its type. Automorphism groups of the biembeddings are also given. 相似文献
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Enterococci, a type of lactic acid bacteria, are widely distributed in various environments and are part of the normal flora in the intestinal tract of humans and animals. Although enterococci have gradually evolved pathogenic strains causing nosocomial infections in recent years, the non-pathogenic strains have still been widely used as probiotics and feed additives. Enterococcus can produce enterocin, which are bacteriocins considered as ribosomal peptides that kill or inhibit the growth of other microorganisms. This paper reviews the classification, synthesis, antibacterial mechanisms and applications of enterocins, and discusses the prospects for future research. 相似文献
54.
Giampaolo Cicogna 《Nonlinear dynamics》2008,51(1-2):309-316
We consider the problem of performing the preliminary “symmetry classification” of a class of quasi-linear PDE’s containing
one or more arbitrary functions: we provide an easy condition involving these functions in order that nontrivial Lie point
symmetries be admitted, and a “geometrical” characterization of the relevant system of equations determining these symmetries.
Two detailed examples will elucidate the idea and the procedure: the first one concerns a nonlinear Laplace-type equation,
the second a generalization of an equation (the Grad–Schlüter–Shafranov equation) which is used in magnetohydrodynamics. 相似文献
55.
Borja Vargas David Cuesta-Frau Paula Gonzlez-Lpez María-Jos Fernndez-Cotarelo
scar Vzquez-Gmez Ana Cols Manuel Varela 《Entropy (Basel, Switzerland)》2022,24(4)
Body temperature is usually employed in clinical practice by strict binary thresholding, aiming to classify patients as having fever or not. In the last years, other approaches based on the continuous analysis of body temperature time series have emerged. These are not only based on absolute thresholds but also on patterns and temporal dynamics of these time series, thus providing promising tools for early diagnosis. The present study applies three time series entropy calculation methods (Slope Entropy, Approximate Entropy, and Sample Entropy) to body temperature records of patients with bacterial infections and other causes of fever in search of possible differences that could be exploited for automatic classification. In the comparative analysis, Slope Entropy proved to be a stable and robust method that could bring higher sensitivity to the realm of entropy tools applied in this context of clinical thermometry. This method was able to find statistically significant differences between the two classes analyzed in all experiments, with sensitivity and specificity above 70% in most cases. 相似文献
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Mengzhou Bi Zhen Guan Tengjiao Fan Na Zhang Jianhua Wang Guohui Sun Lijiao Zhao Rugang Zhong 《Molecules (Basel, Switzerland)》2022,27(6)
Dual-specific tyrosine phosphorylation regulated kinase 1 (DYRK1A) has been regarded as a potential therapeutic target of neurodegenerative diseases, and considerable progress has been made in the discovery of DYRK1A inhibitors. Identification of pharmacophoric fragments provides valuable information for structure- and fragment-based design of potent and selective DYRK1A inhibitors. In this study, seven machine learning methods along with five molecular fingerprints were employed to develop qualitative classification models of DYRK1A inhibitors, which were evaluated by cross-validation, test set, and external validation set with four performance indicators of predictive classification accuracy (CA), the area under receiver operating characteristic (AUC), Matthews correlation coefficient (MCC), and balanced accuracy (BA). The PubChem fingerprint-support vector machine model (CA = 0.909, AUC = 0.933, MCC = 0.717, BA = 0.855) and PubChem fingerprint along with the artificial neural model (CA = 0.862, AUC = 0.911, MCC = 0.705, BA = 0.870) were considered as the optimal modes for training set and test set, respectively. A hybrid data balancing method SMOTETL, a combination of synthetic minority over-sampling technique (SMOTE) and Tomek link (TL) algorithms, was applied to explore the impact of balanced learning on the performance of models. Based on the frequency analysis and information gain, pharmacophoric fragments related to DYRK1A inhibition were also identified. All the results will provide theoretical supports and clues for the screening and design of novel DYRK1A inhibitors. 相似文献
59.
基于Fisher判别分析的有监督特征提取和星系光谱分类 总被引:1,自引:2,他引:1
随着天文观测技术的进步、数据获取能力的提高和大型光谱巡天计划的相继实施,光谱数据的自动处理研究越来越受到重视和关注。文章在分析了文献中光谱自动分类研究的特点和无监督特征提取方法所固有的一些不足的基础上指出了光谱有监督特征提取研究的必要性。并重点研究了Fisher判别分析(FDA)有监督特征提取方法在星系光谱自动分类中的应用。该方法: (1) 具有突出的维数约减能力; (2) 能有效地融合训练数据的类别信息,并按照分类能力提取特征。实验表明,将FDA方法用于某些星系细分类不仅明显地提高了分类器的速度,而且具有良好的分类性能。因此,对于较大的光谱识别系统更能体现出该方法的优越性。 相似文献
60.
针对线上到线下(Online to Offline,O2O) 外卖路径优化问题,综合考虑其动态配送需求、货物区分等特点以及时间窗、载货量等约束条件,将商圈看作配送中心,将快递员数量与快递员总行驶时间作为最小化目标,提出了以商圈为中心的O2O动态外卖配送路径优化模型。采用周期性处理新订单的方法将相应的快递员路径的动态调整问题转化为一系列静态TSP子问题,设计了一种分阶段启发式实时配送路径优化算法框架,并给出了一个具体算法和一个数值计算实例。在VRP通用算例的基础上,以商圈为中心生成测试算例,对本文算法进行仿真实验,并与其他算法比较。结果表明:本文算法能充分利用新订单附近的快递员进行配送,并优化其配送路径,有效减少了快递员数量与快递员总行驶时间。 相似文献