存在强不可交的分支度

结合K Ambos Spies构造强不可交度的方法和分支度构造方法证明了定理

增强超立方体的分支连通度

利用r-分支(边)连通度作为可靠性的重要度量,对增强超立方体网络的可靠性进行分析,得到了r-分支(边)连通度,证明了cκ_(2)(Q_(n,k))=cλ_(2)(Q_(n,k))=n+1,其中2≤k≤n-1,cκ_(3)(Q_(n,k))=2n,cλ_(3)(Q_(n,k))=2n+1,其中4≤k≤n-1,cκ_(4)(Q_(n,k))=3n-2,其中4≤k≤n-1,cλ_(4)(Q_(n,k))=3n-1,其中6≤k≤n-1.

酶法测定葛根支链淀粉分支化度

通过异淀粉酶和普鲁兰酶分别对葛根支链淀粉β 限制糊精进行彻底的脱支水解 ,测得葛根支链淀粉的分支化度为 1 2∶1。 2种酶对脱支反应作用有不同的影响 ,异淀粉酶的酶活对脱支反应的影响较大 ,而普鲁兰酶的酶活影响相对较小。为保证脱支反应进行完全 ,对保温时间进行了研究。结果表明 ,在酶促反应条件下 ,使反应液中的还原力达到一定值 ,对于1mg/mL葛根支链淀粉 β 限制糊精 ,异淀粉酶和普鲁兰酶的用量分别不得少于 1 2U/mL和0 4U/mL ,保温时间分别不得少于 15h和 2 0h。

在d-r.e.度结构中真d-r.e.分支度的弱稠密性

证明了对任意r.e .度v <u ,存在真d r .e .度c ,使得c在d r .e .度结构中可分支 ,且v <c<u .

增广立方体的分支连通度

主要证明了当n≥4时,增广立方体AQn的3-分支连通度是4n-6,以及当n≥9时,增广立方体AQn的4-分支连通度是6n-12。

折叠交叉立方体的分支连通度

r-分支连通度(边连通度)是衡量大型互连网络可靠性和容错性的一个重要参数.设G是连通图且r是非负整数,如果G中存在某种点子集(边子集)使得G删除这种点子集(边子集)后得到的图至少有r个连通分支.则所有这种点子集(边子集)中基数最小的点子集(边子集)的基数称为图G的r-分支连通度(边连通度),记作cκr(G)(cλr(G)).n-维折叠交叉立方体FCQn是由交叉立方体CQn增加2n-1条边后所得.这篇文章确定了折叠交叉立方体FCQn的r-分支连通度,其中r=2,3.

复合酶法修饰糯米淀粉分支结构及其物化性能研究

目的提高糯米淀粉的物化性质及其加工性能。方法以糯米淀粉为受体,以不同直链淀粉(小麦、玉米、大米)或麦芽糖为供体,采用α-淀粉酶和分支酶复合酶,对糯米淀粉进行分子结构修饰,测定改性前后糯米淀粉的分支度、溶解度、糊化和老化性质。结果糯米淀粉通过复合酶法改性能够显著地提高改性淀粉的分支度;改性后的淀粉易于糊化,且糊化液的均匀性和透明度较好。通过DSC测定改性前后热力学性质,发现改性淀粉未出现吸收峰,表明淀粉结晶区中的长链被破坏,从而形成高短链数的改性淀粉;淀粉经过改性后得到可溶性淀粉。结论糯米淀粉加入供体物质,通过复合酶对淀粉进行改性,能够提高改性淀粉的分支度和短链数,制备出具有良好物化特性的改性淀粉。

水热抽提玉米芯半纤维素结构变化及对酶解行为影响

为提高富含木聚糖的农业废弃物再利用-高效制备低聚木糖,该研究以玉米芯为原料,通过水热预处理结合乙醇分级沉淀获得不同组分半纤维素,并利用分子质量测定、糖基结构及红外表征了半纤维素组分的基本特征,研究了半纤维素结构变化及对酶解效果的影响。结果显示,当利用3倍体积的乙醇分离半纤维素时,木聚糖的得率达到最大为48.67%,醇沉获得的各木聚糖组分由木糖、葡萄糖、甘露糖等组成;分支度(木糖/阿拉伯糖)为6.61~16.10,木聚糖的沉淀主要受到木聚糖的分子质量和分支度2个因素的影响。以不同组分进行酶促反应动力学实验结果表明,分子质量分布系数较小同时分支度最小的组分,其K m及V max分别为(5.43±0.31)mg/mL和(154.9±2.33)U/mg,表现出的催化适应性明显高于其他组分,此结果显示分子质量及分支度可能是影响酶解效率的关键因素。

食(药)用真菌多糖的研究

药用真菌和食用真菌多糖具有重要的经济和医药价值。探讨了药(食)用真菌多糖的化学特性、结构与功能的关系及其开发利用前景。

食药用菌多糖生物活性与结构的关系

食药用菌多糖作为具有提高免疫能力的生物 活性物质，受到各国研究人员的重视，已成为许多学科 研究的热点。本文扼要地从结钩等几方面简述了食药用 菌活性多糖与结构的关系，旨在为食药用菌多糖的结构 分析、开发等提供参考。

牡蛎糖原的研究(II)——牡蛎糖原的分子结构

本文应用酶法研究了牡蛎糖原的精细分子结构。结果显示牡蛎糖原的分子结构参数-平均链长,外链和内链平均长分别为13、9和3;用异淀粉酶和普鲁兰酶对牡蛎糖原的β-极限糊精进行顺序脱支,结果表明牡蛎糖原的A,B链比值为0.88:1.0,分支化度为1.88。

结合主题依存特征和Bigram的汉语语言建模方法

在 Bigram语言模型建模过程中 ,语言被看作符号集序列 ,没有考虑语言本身具有的语法和语义结构特征 .虽然在线的文本训练数据迅速增长 ,但语言模型的性能却很难再获得大幅度的提高 .基于统计方法语言建模的基本原理 ,提出了一种结合 Bigram和主题依存特征的中文语言建模方法 .初步实验结果表明 ,该方法可有效地补充 Bigram模型提取特征的不足 。

Research on Guaranteed Scheduling Algorithms

Guaranteed scheduling is necessary for hard real time systems, because each process of them must meet their deadline, or a serious consequence will result.In this paper we discuss two guaranteed schedule algorithms:backtracking and branch and bound,introduce the process to find the optimal solution by both methods,propose the concept of logical node and physical node.Through some experiments for different process sets,we have made comparisons between the two algorithms in branch nodes,comparing time,topology of the search tree,memory size needed,etc.

矿井通风网络风量智能调控研究

现有矿井通风网络风量智能优化算法在求解调风参数时普遍存在模型复杂、收敛速度慢、易陷入局部最优等缺陷,同时也缺乏与调风分支优化选择相结合的研究。针对上述问题,提出了一种基于改进天牛须搜索(BAS)算法的矿井通风网络风量智能调控方法。首先,以用风分支的风量需求为优化目标,构建风量优化调节数学模型,针对该模型中的风量调节约束条件,采用不可微精确罚函数并结合模拟退火算法优化惩罚项,实现模型的去约束化。然后,通过求解灵敏度矩阵,结合风量灵敏度和分支支配度理论选择最优的调节分支集,确定其风阻调节范围,并作为模型的初始解集。最后,基于改进BAS算法求解出最优调风参数,进而控制对应的调风设施,实现风量调控。基于矿井通风实验平台对该方法的可靠性进行实验验证,结果表明:相比于标准BAS算法和粒子群优化(PSO)算法,改进BAS算法综合寻优性能更优越,解得的风量平均值和最优解均高于PSO算法和标准BAS算法,平均运行时间虽略长于标准BAS算法,但远短于PSO算法,平均收敛代数最多,精度最高,容易跳出局部循环得到最优解;在设定风量调节目标后,基于改进BAS算法的矿井通风网络风量智能调控方法可快速精准求解出待调分支的风量最优值,调节后的分支风量满足矿井安全生产的调风要求,风量上调高达46.5%。

Observational bifurcation of Wyrtki Jets and its influence on the salinity balance in the eastern Indian Ocean

The eastward-propagation phenomenon from GPS-tracking drifters is characterized by strong Wyrtki Jets（WJs）,with a maximum velocity of over 1.3 m s^（-1）.Based on data gathered during a 2014 spring sea cruise in the Indian Ocean,the trajectories show the WJs bifurcate at the equator near the eastern boundary and flow northward and southward in two narrow strong currents.Surface currents reverse and flow westward in the east of the bifurcation longitude.In addition,Aquarius satellite data show the high-salinity water flows eastward from the western Indian Ocean,associated with WJs.Salinity budget analyses in the mixed layer using salinity data from Argo and currents data from OSCAR indicate that the WJs do indeed transport the high-salinity water eastward at the equator,and WJs bifurcation transports high-salinity water away from the equator and suppresses the Bay of Bengal and Java coast from freshening.Therefore,the WJs and WJs bifurcation play an important role in maintaining the salinity balance in the eastern Indian Ocean.

A High-order Accuracy Explicit Difference Scheme with Branching Stability for Solving Higher-dimensional Heat-conduction Equation

A high-order accuracy explicit difference scheme for solving 4-dimensional heatconduction equation is constructed. The stability condition is r = △t/△x^2 = △t/△y^2 = △t/△z^2 = △t/△w^2 〈 3/8, and the truncation error is O（△t^2 ＋ △x^4）.

Clinical evaluation of serum concentrationsof intercellular adhesion molecule-1 in patients with colorectal cancer

AIM： To investigate the correlation between the serum soluble intercellular adhesion molecule-1 （sICAM-1） and the clinicopathologic features and to evaluate the possible prognostic significance of sICAM-1 concentration in colorectal cancer.METHODS： A total of 56 patients （mean age 57.3 years） having transitional cell carcinoma of the colorectal and 25 control patients （mean age 42.6 years） were enrolled in the study. The serum samples of the patients were obtained on the day before surgery. Sera were obtained by centrifugation, and stored at -80℃ until assay. Serum concentrations of ICAM-1 were measured with enzymelinked immunoassay. Differences between the two groups were analyzed by Student＇s t-test.RESULTS： No significant increase of serum slCAM-1 could be demonstrated in the Dukes A1 patients （352.63±61.82μg/L） compared to the control group （345.72±49.81 μg/L,/〉〉0.05）, Dukes A1 patients （352.63±61.82 μg/L）compared to Dukes A2,3 patients （491.17±86.36μg/L,P〈0.05）. Furthermore, the patients with Dukes B had significantly higher serum concentrations of sICAM-1 than those of the control group （496.82±93.04μg/L vs 345.72±49.81μg/L, P〈0.01）. Compared with Dukes A2,3,B colorectal cancer patients, patients with more advanced clinical stage （Dukes C and D） had higher levels of sICAM-1 （743.68±113.74 μg/L vs491.17±86.36μg/L and 496.82±93.04 μg/L, P〈0.001）. The difference was statistically significant in sICAM-1 levels between patients with positive lymph node status and those without lymph node involvement （756.25±125.57μg/L vs 445.62±69.18 μg/L, P〈0.001）.Patients with poorly differentiated colorectal cancer had a higher level of slCAIVl-1 than those with differentiated and highly differentiated cancer （736.49±121.97μg/L vs410.23±67.47 μg/L, P〈0.001）.CONCLUSION： In this study, serum ICAM-1 levels were found to be related to tumor presence, clinical stages,and grade. Increased ICAM-1 in patients with colorectal cancer which should be considered when the diagnostic and/or prognostic usefulness of soluble ICAM-1 is to be evaluated, sICAM-1 should prove useful for monitoring malignant disease stage and for evaluating the effectiveness of various therapeutic approaches for colorectal carcinomas.

An Algorithm to Find K Shortest Path

In this figure, it finds a vertex to another vertex k shortest path algorithm. Provided there are n vertices and edges in the diagram. If the path loops, the time complexity of the algorithm is allowed O（w ＋ n log 2 n ＋ kw log 2 k）. If the request path does not contain the loop, the time complexity of the algorithm O（kn（w ＋ n log2 n）＋ kw log2 k）. The algorithm utilizes a simple extension of the Dijkstra algorithm determined the end of the length of the shortest path to the other vertices, and then, based on these data, branch and bound method to identify the required path. Experimental results show that the actual running time has relations with the structure of FIG.

Effective forecast of Northeast Pacific sea surface temperature based on a complementary ensemble empirical mode decomposition–support vector machine method

The sea surface temperature （SST） has substantial impacts on the climate; however, due to its highly nonlinear nature, evidently non-periodic and strongly stochastic properties, it is rather difficult to predict SST. Here, the authors combine the complementary ensemble empirical mode decomposition （CEEMD） and support vector machine （SVM） methods to predict SST. Extensive tests from several different aspects are presented to validate the effectiveness of the CEEMD-SVM method. The results suggest that the new method works well in forecasting Northeast Pacific SST at a 12-month lead time, with an average absolute error of approximately 0.3℃ and a correlation coefficient of 0.85. Moreover, no spring predictability barrier is observed in our experiments.

The Study on Scaling Function of L^2(R^s)

In this paper, using the orthonormal multiresolution analysis（MRA） of L^2（R^s）, we get two important properties of the scaling function with dilation matrix A = MI of L^2 （R^s）. These properties axe chaxacterized by some inequalities and equalities.