马克思辩证法：一种关系间性的思维方式

实践观点的思维方式作为马克思辩证法的思维方式,其实质是一种关系间性的思维方式。在马克思那里,"实践"意味着一种总体性的"关系间性",即人与自然的关系和人与人的关系这两种关系的关系。马克思对许多问题的理解都打上了"关系间性"的烙印。伴随着关系间性的思维方式的建立,马克思对传统实体存在论进行了根本性颠覆,进而确立了一种关系存在论。

医患关系的双主体性及其社会学内涵

对医患关系的双主体及其主体间性 ,对医患关系主体间性所涉及的多个层面 ,如技术、经济、人文、伦理、法律、管理等方面 ,作了比较系统的分析。本文认为 :医患关系不仅是医患间双主体的互动关系 ,而且是社会各种关系在医疗领域中的反映。从社会学视角分析医患关系的多层面性 ,对于调动医患双主体的能动作用 ,推动医学发展 ,具有重要的意义。

混合模式下高校课程思政师生主体间性探索

“互联网+教育”信息技术发展推动各类课程思政高质量建设与课堂教学模式创新。混合式模式下,课程思政与师生主体相辅相成,教师与学生作为主体,移动互联网技术充当客体,师生双主体间交往通过技术实现相互融合时,改变原每一对“主体-客体”关系本质上的“主体-客体-主体”单一向度,形成主体间性平等双向(多向)交往与互动的良好师生规约关系;通过师生共同创设与建构线上线下课程思政师生资源库或平台,选择与甄别显性与隐性线上线下课程思政学习资源,制定线上线下课程思政师生主体间性多样性评价方式,实现学生知识整理、加工、转化与内化为自身德行、素质与能力,个性化交互空间,达到高度参与、落实立德树人根本目标的途径。

艾米莉·狄金森的自然诗作:生态文学的典范

对于美国天才女诗人艾米莉.狄金森,世人了解最多的是其诗歌形式的怪诞奇丽及其超验主义和清教主义并举的相互矛盾的哲学思想。狄金森的诗作中自然诗歌就达500余首,在生态意识日益高涨、文学作品的生态学问题日益为人们所重视的今天,从生态批评的角度重新解读其自然诗歌,可以揭示出其自然诗歌的生态美学价值。狄金森诗作的生态思想主要体现在人与自然的"主体间性"关系、"自然的复魅"、审美性。她的自然诗是艺术性与生态性相结合的绿色文学的典范。

Employing temporal channel correlation in user selection for MIMO broadcast systems

Taking the time varying nature of wireless channels into account, two user selection schemes with lower complexity are developed for multiple-input multiple-output broadcast （MIMO BC）systems. According to the relationship between coherence time and Doppler frequency, an information frame is divided into several segments. At the beginning of each segment, the user selection is carded out with the greedy selection algorithm. In the simplified user selection algorithms employing the temporal correlation （SUSTC）, the selection results are applied for all the remaining slots in each segment. But in the improved simplified user selection algorithms employing the temporal correlation（ISUSTC）, at the remaining slots, users are kept with favorable channel conditions selected at the previous slot, and other users are updated from the candidate pool to communicate simultaneously. Simulations show that compared with the greedy user selection method, the proposed algorithms can reduce the selection complexity with a little sum capacity loss.

Improved delay-dependent stability criteria for stochastic systems with time-varying interval delay

The problem of the stability for a class of stochastic systems with time-varying interval delay and the norm-bounded uncertainty is investigated. Utilizing the information of both the lower and the upper bounds of the interval time-varying delay, a novel Lyapunov-Krasovskii functional is constructed. The delay-dependent sufficient criteria are derived in terms of linear matrix inequalities （LMIs）, which can be easily checked by the LMI in the Matlab toolbox. Based on the Jensen integral inequality, neither model transformations nor bounding techniques for cross terms is employed, so the derived criteria are less conservative than the existing results. Meanwhile, the computational complexity of the obtained stability conditions is reduced because no redundant matrix is introduced. A numerical example is given to show the effectiveness and the benefits of the proposed method.

口译修辞认知加工心智程序模型构建

以往的口译认知过程研究一直聚焦于译者的认知心理机制及思维过程,鲜有触及译者与发言人及听众间的主体间性关系及其深层认知机制的交互模式。仅从认知心理的视角解构口译过程的深层认知机制无法更好地阐释诸如口译主体间性活动模式、译员修辞心理的架构以及修辞策略形成等相关问题。从认知修辞的视角结合认知语用学、认知语义学相关范式建构各主体口译修辞认知加工的心智程序模型可以更好地阐释非线性的动态的口译三元关系(发言人-译员-听众)及其复杂的明示-推理交互模式的修辞性特征。

On-Off Intermittency Route to Chaos Synchronization and Spatial Periodic Synchronization of Chaos in Coupled Arrays of Chaotic Systems

Chaos synchronization of coupled nonlinear systems is ubiquitous in nature and science. Dynamic behaviors of coupled ring and linear arrays of unidirectionally coupled Lorenz oscillators are studied numerically. We find that chaos synchronization in circular arrays of chaotic systems can occur through the on off intermittent synchronization with a power law distribution of laminar phases. And in the coupled ring and linear array it is found that the chaotic rotating waves generated from the ring propagate with spatial periodic synchronization along the linear array.

Generalization Rough Set Theory

In order to avoid the discretization in the classical rough set theory, a generlization rough set theory is proposed. At first, the degree of general importance of an attribute and attribute subsets are presented. Then, depending on the degree of general importance of attribute, the space distance can be measured with weighted method. At last, a generalization rough set theory based on the general near neighborhood relation is proposed. The proposed theory partitions the universe into the tolerant modules, and forms lower approximation and upper approximation of the set under general near neighborhood relationship, which avoids the discretization in Pawlak's rough set theory.

Fundamental Theories of Spatial Similarity Relations in Multi-scale Map Spaces

Similarity relation is one of the spatial relations in the community of geographic information science and cartography.It is widely used in the retrieval of spatial databases, the recognition of spatial objects from images, and the description of spatial features on maps.However, little achievements have been made for it by far.In this paper, spatial similarity relation was put forward with the introduction of automated map generalization in the construction of multi-scale map databases;then the definition of spatial similarity relations was presented based on set theory, the concept of spatial similarity degree was given, and the characteristics of spatial similarity were discussed in detail, in-cluding reflexivity, symmetry, non-transitivity, self-similarity in multi-scale spaces, and scale-dependence.Finally a classification system for spatial similarity relations in multi-scale map spaces was addressed.This research may be useful to automated map generalization, spatial similarity retrieval and spatial reasoning.

A new measure for evaluating spatially related properties of traffic information credibility

With the wide applications of sensor network technology in traffic information acquisition systems,a new measure will be quite necessary to evaluate spatially related properties of traffic information credibility.The heterogeneity of spatial distribution of information credibility from sensor networks is analyzed and a new measure,information credibility function(ICF),is proposed to describe this heterogeneity.Three possible functional forms of sensor ICF and their corresponding expressions are presented.Then,two feasible operations of spatial superposition of sensor ICFs are discussed.Finally,a numerical example is introduced to show the calibration method of sensor ICF and obtain the spatially related properties of expressway in Beijing.The results show that the sensor ICF of expressway in Beijing possesses a negative exponent property.The traffic information is more abundant at or near the locations of sensor,while with the distance away from the sensor increasing,the traffic information credibility will be declined by an exponential trend.The new measure provides theoretical bases for the optimal locations of traffic sensor networks and the mechanism research of spatial distribution of traffic information credibility.

Dissolving Temporal Sequence： Spatial Form in James Joyce＇s Ulysses （＂Nausicaa＂ Episode）

In his 1945 study of Djuna Barne＇s Nightwood, Joseph Frank analyzes a crucial technique of modernist literature, the substitution of spatial relationships for temporal progression as a formal metaphor of thematic development. Starting with Gustave Flaubert and recognizing his efforts to duplicate the simultaneity of action possible in drama and later in film, Frank comments that since language proceeds in time, it is possible to approach this simultaneity of perception only by breaking up temporal sequence. While Flaubert introduces this method, it does not become a dominant form until James Joyce＇s Ulysses. According to Frank, spatialization of form in this novel provides an alternative to the chronological development normal to verbal structures, which can be read only in a linear fashion through time, unlike painting and the plastic arts, which can be visually apprehended instantaneously. Applied to Ulysses as a whole by Joseph Frank, the conception of spatial form might as well serve as a convenient point of departure for the analysis on much smaller, let＇s say, ＂episodic＂ scale. In ＂Nausicaa＂ episode, Joyce dissolves temporal sequence by cutting back and forth between the various levels of action in a slowly-rising crescendo to achieve the unified impact, the sense of simultaneous activity occurring in different places. For the duration of the episode the time-flow of the narrative is halted： various levels of action are juxtaposed independently of the progress of the narrative. Joyce, in this fragmentation of narrative structure, proceeded on the assumption that a unified spatial apprehension of not only separate episodes but his entire work would ultimately be possible.

A software cost model with maintenance and risk costs for safety-critical systems

According to the consequences of software failures, software faults remaining in safety-critical systems can be classified into two sets： common faults and fatal faults. Common faults cause slight loss when they are activated. A fatal fault can lead to significant loss, and even damage the safety-crltical system entirely when it is activated. A software reliability growth model for safety-critical systems is developed based on G - 0 model. And a software cost model is proposed too. The cost model considers maintenance and risk costs due to software failures. The optimal release policies are discussed to minimize the total software cost. A numerical exampie is provided to illustrate how to use the results we obtained.

The Project Siberian High in CMIP5 Models

The Siberian high(SH)experienced a decline from the 1970s to 1990s and a recovery in recent years.The evolution of the SH under global warming is unclear.In this study,41 Coupled Model Intercomparison Project Phase 5(CMIP5)climate models are evaluated in terms of their ability to simulate the temporal evolution of the SH in the 19th and 20th centuries and the spatial pattern of the SH during 1981–2005.The results show that 12models can capture the temporal evolution of the SH center intensity(SHCI)for 1872–2005.The linear correlation coefficient between the SHCI from the Twentieth Century Reanalysis and the simulated SHCI from the multi-model ensemble(MME)of the 12 models is 0.3 on annual and inter-annual scales(above the 99%confidence level).On decadal and multi-decadal time scales,the MME also captures the pronounced reduction(between 1981–2000and 1881–1900 period)and the recovery(during1991–2005)of the SH intensity.Finally,the future evolution of the SH is investigated using the MME of the 12models under the+4.5 and+8.5 W m-2 Representative Concentration Pathway(RCP)scenarios(RCP4.5 and RCP8.5).It is shown that the SHCI,similar to the SHCI in the 20th century,has no significant long-term trend in the 21st century under global warming(RCP8.5 scenario).At the end of 21st century(2081–2100),the SH shows stronger interannual variability than the SH at the end of20th century(1981–2000).The increased interannual variability likely favors the increased interannual variability in winter air temperature over midlatitude Eurasia at the end of 21st century.

Using Weights of Evidence in the Spatial Relation Between Infected Snails and Geographic Factors

Schistosomiasis is a serious public health problem in the middle-lower Yangtze River Basin in China. Study of spatial variation of snail distribution that is related to microgeographic factors can help to choose pertinent measures for snail extinguishment and environment rebuilding. This paper studied the theoretical architecture of weights-of-evidence approach. The case study was made for spatial relation between the occurrence of infected snails and geographic factor combinations in Waijiazhou marshland of Poyang Lake region in China. The multievidence data came from the geographical factor combinations by crossing operation of vegetation coverage grade layer, cattle route distance grade layer, and special environment layer (181 combinations in total) in GIS. The calculation of weight contrast index shows that high vegetation coverage, cattle route distance of <45 meters, and special geographic factor "ground depression" had direct spatial relation with the occurrence of infected snails. The verification by crossing operation in GIS indicated 72.45% of the infected snails concentrated on the areas of positive weight contrast index (sequenced in an order of weight contrast index from high to low), demonstrating the high efficiency of the model established in finding infected snails according to the geographic factor combinations that can be explicitly discerned in the study area.

Social cliques in male northern muriquis Brachyteles hypoxanthus

Analyses of spatial relationships and social interactions provide insights into the social structure of animal societies and the ways in which social preferences among and between dyads affect higher order social relationships. In this paper we de- scribe the patterns of spatial associations and social interactions among adult male northern muriquis in order to evaluate the dy- namics of their social networks above the dyadic levels. Systematic observations were made on the 17 adult males present in a multi-male/multi-female group from April 2004 through February 2005, and in July 2005. Analyses of their spatial relationships identified two distinct male cliques; some adult males （called ＂N＂ males） were more connected to the females and immatures than other adult males （＂MU＂ males）, which were more connected to one another. Affiliative interactions were significantly higher among dyads belonging to the same clique than to different cliques. Although frequencies of dyadic agonistic interactions were similarly low among individuals within and between cliques, MU males appeared to be subordinate to N males. Nonetheless, there were no significant differences in the copulation rates estimated for MU males and N males. Mutual benefits of cooperation between MU and N cliques in intergroup encounters might explain their ongoing associations in the same mixed-sex group

Direct estimation of rupture depths of earthquake faults from coseismic surface deformation

The rupture dimensions of earthquake faults are important parameters for characterizing earthquake ruptures and ground motions. Two key parameters to be determined are the rupture depth and dip angle of earthquake faults. Dislocation theory in an elastic half space indicates that if a seismic rupture directly runs up to the ground surface, there exist zero points of horizontal strain in the surface deformation, which correspond to the rupture depths, except for pure strike-slip faults. In this study, we use numerical simulations to investigate the possibility of inferring rupture depths from zero-strain points for cases of buried faults and heterogeneous media. The results show that the correspondence of zero-strain points to the rupture depths can be influenced by the heterogeneity of the underground media and the stress field. For buried faults, the correspondence relationship is approximately valid when the fault depth is <1 km. In addition, the range of earthquake fault dip angles can be estimated by horizontal displacements on the ground. We also study how to determine the rupture depths of faults from InSAR data after large earthquakes, and successfully apply the method to the 2008 Wenchuan earthquake. The method proposed here, which determines the parameters of fault geometry according to surface deformation, is simple and easy to perform. With independent of aftershocks, it can provide valuable constraints to kinematic inversions.

Nonresonance and Global Existence of Nonlinear Elastic Wave Equations with External Forces

This paper establishes the global existence of classical solution to the system of homogeneous,isotropic hyperelasticity with time-independent external force,provided that the nonlinear term obeys a type of null condition.The authors first prove the existence and uniqueness of the stationary solution.Then they show that the solution to the dynamical system converges to the stationary solution as time goes to infinity.

A NEW STATISTICAL APPROACH FOR THE ANALYSIS OF UNCERTAIN SYSTEMS

This paper addresses the issues of conservativeness and computational complexity of probabilistie robustness analysis. The authors solve both issues by defining a new sampling strategy and robustness measure. The new measure is shown to be much less conservative than the existing one. The new sampling strategy enables the definition of efficient hierarchical sample reuse algorithms that reduce significantly the computational complexity and make it independent of the dimension of the uncertainty space. Moreover, the authors show that there exists a one to one correspondence between the new and the existing robustness measures and provide a computationally simple algorithm to derive one from the other.