An efficient algorithm to generate candidates in discovering frequent episodes

0 IntroductionData mining is widely used in many research fieldssuch as decision supporting systems[1], bio-informationanalysis[2]and knowledge engineering[3-5]. Most data col-lected from scientific experiments or telecommunicationnetworks have inherent sequential nature inthemand canthus be abstractly viewed as a sequence of events . Onebasic problemin miningsuchevent sequencesis discoveryof recurrent combinations of events , which are calledepisodes. Once frequent episodes are discovered,rul…     

关于新时期实验物理教学的几点思考

本文结合我校实际，对新时期实验物理教学中出现的一些问题和现象作了分析讨论。提出相应的措施和方法。     

Finding finer functions for partially characterized proteins by protein-protein interaction networks

Based on high-throughput data, numerous algorithms have been designed to find functions of novel proteins. However, the effectiveness of such algorithms is currently limited by some fundamental factors, including (1) the low a-priori probability of novel proteins participating in a detailed function; (2) the huge false data present in high-throughput datasets; (3) the incomplete data coverage of functional classes; (4) the abundant but heterogeneous negative samples for training the algorithms; and (5) the lack of detailed functional knowledge for training algorithms. Here, for partially characterized proteins, we suggest an approach to finding their finer functions based on protein interaction sub-networks or gene expression patterns, defined in function-specific subspaces. The proposed approach can lessen the above-mentioned problems by properly defining the prediction range and functionally filtering the noisy data, and thus can efficiently find proteins’ novel functions. For thousands of yeast and human proteins partially characterized, it is able to reliably find their finer functions (e.g., the translational functions) with more than 90% precision. The predicted finer functions are highly valuable both for guiding the follow-up wet-lab validation and for providing the necessary data for training algorithms to learn other proteins.     

Identification of the Angel -related elements in cyprinid fishes and their phylogenetic implications

Angel-related element belongs to the family of miniature inverted-repeat transposable elements (MITEs). In this paper we report the identification of an Angel- related element in the series Leuciscini of cyprinid fishes, which is located in the second intron of the growth hormone (GH) gene. We have also found that this element is absent in orthologous locus in the series Barbini of cyprinid fishes, that provides new evidence for the monophyly of the series Leuciscini. The insertion of Angel -related element into the GH gene might take place in the common ancestor of the series Leuciscini after its divergence from the series Barbini. The high sequence divergence and relatively broad species distribution of Angel-related elements implies that they might be ancient transposons which appeared about 26 million years ago.     

试论魏晋“深情”及其诗学意义

魏晋时期,伴随着理性世界的转变,人们的感性世界也发生了极大的变化,出现所谓的魏晋“深情”。这种以知识分子为情感主体的“深情”,既不同于《诗经》时代原发性的“民情”,也不同于儒家“发乎情,止乎礼义”的“性情”和道家“有人之形而无人之情”的“天情”,它是知识分子个体生命意识觉醒之后于天地宇宙中寻求心灵安顿和精神自由的情感,即人生和宇宙合而为一的生命超越之情。正是这种魏晋“深情”,把中国诗学引向强调“神与物游”和“情景相生”的抒情道路,并深深地刻上了宇宙情怀。     

Design and passive analysis of a novel softness display device

Simulating the softness property of object is quite a challenge in virtual reality system. A novel softness display system was developed based on the principle of deformable length of elastic element control （DLEEC）. In the system, the equivalent stiffness of the device is adjustable, and is inversely proportional to the third power of the deformable length of elastic beam. PD position control is employed to guarantee the accurate softness display. The softness of the virtual objects in large scale can be felt with the softness display device. Compared with other haptic devices, the device is passive and exert the react force only when the operator ＂actively touch＂ the virtual objects. The stability of the softness display system was analyzed. It was theoretical proved that the system satisfied the criteria of wide impedance range ＂Z-width＂, and the performance was superior to an active system. The experimental results were presented.     

核磁共振跟踪反应法研究5—O—乙酰基—2.3-双脱氧-D.L-呋喃戊糖基氯的合成

以乙酸四氢呋喃甲酯为原料,通过自由基氯化反应,合成双脱氧核苷类抗艾滋病药物的重要中间体化合物5—0—乙酰基—2.3—双脱氧—D.L—吹喃戊糖基氯.对于此种不稳定的中间体化合物,用~1HNMR跟踪监测反应物的方法,研究了改变反应时间、反应温度和反应物摩尔比对反应产物的影响,获得了最佳的反应条件,使其收率从10％提高到50％左右.     

医院污水处理系统中生物对金属富集的研究

本文分析了桂林南溪山医院污水处理系统中某些鱼类、藻类、底栖动物等水生生物的重金属含量,计算了各类生物的富集系数,发现不同种类的鱼,对五种重金属的富集顺序不同,相同种类的鱼对五种重金属的富集能力也各不相同,鱼的不同器官对重金属的富集能力也有较大的差异.     

呼和浩特地膜栽培番茄的细菌病害

查明危害呼和浩特地区地膜栽培中番茄的两种病害;番茄角斑病(Pseudomonas corrugota)和番茄溃疡病(Corynebocterium michigamens pv.michigganense)(Smith)Jensen.).国内文献没有见到对前者病害症状的描述.本文所提供的症状可用于诊断这两种细菌病害.