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Search Results: 1 - 10 of 61154 matches for " YU Jianlin "
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Experimental Studies of Impacts of Reference Point and Its Change on Individual Value  [PDF]
Jianjiang Qian, Yong Zhao, Jianlin Yu
Theoretical Economics Letters (TEL) , 2014, DOI: 10.4236/tel.2014.49100
Abstract: Prospect theory believes that value judgments of decision-makers are associated with reference point. Based on this intuition, this paper analyzes the impacts of reference point as well as its change on individual value with two risk selection experiments, which are at the same wealth level but have different reference points. Experiments find that reference point has significant influences on value function and decision weight at the same wealth level. Moreover, via the value function diagram, we find that the value of a certain wealth level rising from a relatively low reference point is higher than the value of the same wealth level declining from a relatively high reference point which initially is raised from the lower reference one. Intuitively, it also explains that the changes of the reference point will lead to a decline in the overall value of decision-maker.
Understanding Hawking radiation in the framework of open quantum systems
Hongwei Yu,Jianlin Zhang
Physics , 2008, DOI: 10.1103/PhysRevD.77.029904
Abstract: We study the Hawking radiation in the framework of open quantum systems by examining the time evolution of a detector (modelled by a two-level atom) interacting with vacuum massless scalar fields. The dynamics of the detector is governed by a master equation obtained by tracing over the field degrees of freedom from the complete system. The nonunitary effects are studied by analyzing the time behavior of a particular observable of the detector, i.e., its admissible state, in the Unruh, Hartle-Hawking, as well as Boulware vacua outside a Schwarzschild black hole. We find that the detector in both the Unruh and Hartle-Hawking vacua would spontaneously excite with a nonvanishing probability the same as what one would obtain if there is thermal radiation at the Hawking temperature from the black hole, thus reproducing the basic results concerning the Hawking effect in the framework of open quantum systems.
A multi-template combination algorithm for protein comparative modeling
Jianlin Cheng
BMC Structural Biology , 2008, DOI: 10.1186/1472-6807-8-18
Abstract: Here we develop an effective multi-template combination algorithm for protein comparative modeling. The algorithm selects templates according to the similarity significance of the alignments between template and target proteins. It combines the whole template-target alignments whose similarity significance score is close to that of the top template-target alignment within a threshold, whereas it only takes alignment fragments from a less similar template-target alignment that align with a sizable uncovered region of the target.We compare the algorithm with the traditional method of using a single top template on the 45 comparative modeling targets (i.e. easy template-based modeling targets) used in the seventh edition of Critical Assessment of Techniques for Protein Structure Prediction (CASP7). The multi-template combination algorithm improves the GDT-TS scores of predicted models by 6.8% on average. The statistical analysis shows that the improvement is significant (p-value < 10-4). Compared with the ideal approach that always uses the best template, the multi-template approach yields only slightly better performance. During the CASP7 experiment, the preliminary implementation of the multi-template combination algorithm (FOLDpro) was ranked second among 67 servers in the category of high-accuracy structure prediction in terms of GDT-TS measure.We have developed a novel multi-template algorithm to improve protein comparative modeling.Protein structure prediction is one of the most important problems in structural bioinformatics [1-3]. Comparative (or homology) modeling is currently the most accurate and practical structure prediction method [4-19].In general comparative modeling involves four steps [11,20,21]: (1) identify a homologous template protein for a target protein; (2) generate an alignment between the template and the target; (3) create a model based on the alignment and the template structure; (4) evaluate and refine the model. The two key factors determ
A neural network approach to ordinal regression
Jianlin Cheng
Computer Science , 2007,
Abstract: Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe a simple and effective approach to adapt a traditional neural network to learn ordinal categories. Our approach is a generalization of the perceptron method for ordinal regression. On several benchmark datasets, our method (NNRank) outperforms a neural network classification method. Compared with the ordinal regression methods using Gaussian processes and support vector machines, NNRank achieves comparable performance. Moreover, NNRank has the advantages of traditional neural networks: learning in both online and batch modes, handling very large training datasets, and making rapid predictions. These features make NNRank a useful and complementary tool for large-scale data processing tasks such as information retrieval, web page ranking, collaborative filtering, and protein ranking in Bioinformatics.
The use of stable isotopes to partition evapotranspiration fluxes into evaporation and transpiration

Shichun Zhang,Xuefa Wen,Jianlin Wang,Guirui Yu,Xiaomin Sun,

生态学报 , 2010,

LU Wenzhi,YU Jianlin,GONG Xiaonan,

岩石力学与工程学报 , 2010,
Abstract: 柔性基础、垫层、复合地基、下卧层土体的共同作用一直没有得到较好的考虑。将四者作为一个共同作用的系统,假设桩土界面之间存在相对滑移且同一水平面上地基土沉降不同,考虑系统四部分界面上的应力与变形协调,对典型单元体建立荷载传递基本微分方程并给出其解答,从而得到表征复合地基性状的沉降和桩土应力比等的求解公式;与某工程实测成果及按现行规范推荐方法计算所得结果对比表明该解答是合理的,柔性基础下桩体复合地基中的桩土荷载分担比、荷载传递机制等均与刚性基础下的复合地基不同,工程设计中要高度重视和运用等沉面和中性面的概念;最后对进一步的解析法研究提出了建议。
Anomalous compressibility behavior of chromium monoaresenide under high pressure
Zhenhai Yu,Wei Wu,Jinggeng Zhao,Chunyu Li,Jinguang Cheng,Lin Wang,Jianlin Luo
Physics , 2014,
Abstract: CrAs was firstly observed possessing the bulk superconductivity (Tc~2 K) under high pressure (0.8 GPa) in the very recent work (Wei Wu, et al. Nature Communications 5, 5508 (2014)). To explore the correlation between the structure and the superconductivity, the high-pressure structure evolution of CrAs was investigated using angle dispersive X-ray diffraction (XRD) method with small steps of ~0.1 GPa in a diamond anvil cell (DAC) up to 1.8 GPa. In the pressure range covered by our current experiment, the structure of CrAs keeps stable. However, the lattice parameters exhibit anomalous compression behaviors. With the pressure increasing, the lattice parameters a and c both show a process of first increasing and then decreasing, and the lattice parameter b goes through a quick contract at 0.35 GPa, which suggests a pressure-induced isostructural phase transition occurs in CrAs around this pressure point. Above the phase transition pressure, the axial compressibilities of CrAs present remarkable anisotropy. The compressibilities along the a- and c-axis are about an order of magnitude smaller than that along the b-axis, which is closely related to the different stacking modes in CrAs6 octahedron along different crystallographic axes. A schematic band model was used for addressing above anomalous compression behavior in CrAs.
Study on the Innovation Incubation Ability Evaluation of High Technology Industry in China from the Perspective of Value-Chain  [PDF]
Li Zuo, Jianlin Zhou, Fengmei Wei
Open Journal of Social Sciences (JSS) , 2018, DOI: 10.4236/jss.2018.69017
Abstract: This paper establishes the evaluation model of innovation incubation ability by using optimal combination weight and analyzes the innovation incubation ability of high technology industry based on data from 31 provinces during the period of 2008-2012. The results show that from general prospective, the innovation incubation ability of high technology industry enters into the slow development phase in accord with “W” shape in China; from the regional prospective, Guangdong, Jiangsu and Beijing are in the lead; Tibet, Ningxia lag behind other regions; the rank of some regions is changeful; from sub-ability prospective, while resource investment ability and research and development ability overall show a downward trend, economic transformation ability shows a upward trend; besides, research and development ability makes more important contribution to the innovation incubation ability of high technology industry.
Effect of potassium fertilization on the photosynthetic characteristics of the leaf of winter wheat population during its grain-filling stage

QI Hua,YU Guirui,CHENG Yisong,WANG Jianlin,

应用生态学报 , 2003,
Abstract: Six years field trials with or without potassium application showed that under potassium application, the maximum photosynthetic rate (Pmax), light saturation point (LSP) and light compensation point (LCP) of the flag leaf of winter wheat during its grain-filling stage increased, the apparent photon utilization efficiency (alpha) decreased, and the dark respiration rate (Rd) increased slightly. For the daily variation of net photosynthetic rate (Pn) of winter wheat with and without potassium application, it appears a single peak curve, whether the weather condition was sunny or cloudy. "Stomatal factor" was the main cause of the decrease of net photosynthetic rate (Pn) in the before noon and afternoon of sunny days and in the whole day of cloudy days, while "non-stomatal factor" was the main cause for the decrease of Pn around midday in sunny days.
Composite foundation’s optimization design of settlement’s surrogate models based on support vector machines

CHEN Changfu
, LI Xin, GONG Xiaonan, YU Jianlin

- , 2018,
Abstract: 复杂复合地基优化设计缺乏明确可靠的沉降计算公式,很难建立有明确表达式的优化设计数学模型,若直接基于数值模拟来建立模型,则计算工作量巨大。为此,提出一种基于支持向量机沉降代理模型的复合地基优化设计方法。该法基于均匀设计理念,设计多个数值实验加固方案,建立复合地基三维有限元模型,分析路堤荷载作用下复合地基沉降及差异沉降;再采用最小二乘支持向量机(LSSVM)对沉降进行回归分析,建立复合地基沉降、差异沉降的等代模型;以复合地基加固费用为目标函数,以各沉降指标为控制参数,建立复合地基优化设计数学模型;基于遗传算法搜索最优的加固方案,并输出满足设计要求的最经济复合地基方案。将该法用于岸边软土区复合地基优化设计,验证了该法的可行性。
During the optimization design of the complex composite foundations, it was difficult to establish a mathematical model with explicit expressions as a result of lacking explicit settlement formulas. On the other hand, a large amount of computation was required if only numerical simulation method was used to establish the optimization models. Therefore, a composite foundation’s optimization design method of settlement’s surrogate models was introduced. To establish the three dimensional finite element models of the composite foundations, many numerical experimentations were designed based on uniform design, and the settlements and differential settlements of the composite foundations were calculated. The surrogate models of the composite foundations were established based on the least squares support vector machine. The mathematical models of the composite foundations were established by using the costs of the composite foundations as the object functions and the settlements as the constraints. Based on the genetic algorithms, the most economic strengthening scheme was searched and exported, which satisfies the allowable settlements. The reliability of this method has been proved by using in the optimization design of the composite foundation in shore
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