Protein Secondary Structure Prediction with Dynamic Self-Adaptation Combination Strategy Based on Entropy

The algorithm based on combination learning usually is superior to a singleclassification algorithm on the task of protein secondary structure prediction. However,the assignment of the weight of the base classifier usually lacks decision-makingevidence. In this paper, we propose a protein secondary structure prediction method withdynamic self-adaptation combination strategy based on entropy, where the weights areassigned according to the entropy of posterior probabilities outputted by base classifiers.The higher entropy value means a lower weight for the base classifier. The final structureprediction is decided by the weighted combination of posterior probabilities. Extensiveexperiments on CB513 dataset demonstrates that the proposed method outperforms theexisting methods, which can effectively improve the prediction performance.

Bibliometry-Aware and Domain-Specific Features for Discovering Publication Hierarchically-Ordered Contexts and Scholarly-Communication Structures

Discovering publication hierarchically-ordered contexts is the main task in context-based searching paradigm. The proposed techniques to discover publication contexts relies on the availability of domain-specific inputs, namely a pre-specified ontology terms. A problem with this technique is that the needed domain-specific inputs may not be available in some scientific disciplines. In this paper, we propose utilizing a powerful input that is naturally available in any scientific discipline to discover the hierarchically-ordered contexts of it, namely paper citation and co-authorship graphs. More specifically, we propose a set of domain-specific bibliometry-aware features that are automatically computable instead of domain-specific inputs that need experts’ efforts to prepare. Another benefit behind considering bibliometric-features to adapt to the special characteristics of the literature environment being targeted, which in turn facilitates contexts membership decision making. One key advantage of our proposal is that it considers temporal changes of the targeted publication set.

Mobile and Context-Aware GeoBI Applications: A Multilevel Model for Structuring and Sharing of Contextual Information

With the requirements for high performance results in the today’s mobile, global, highly competitive, and technology-based business world, business professionals have to get supported by convenient mobile decision support systems (DSS). To give an improved support to mobile business professionals, it is necessary to go further than just allowing a simple remote access to a Business Intelligence platform. In this paper, the need for actual context-aware mobile Geospatial Business Intelligence (GeoBI) systems that can help capture, filter, organize and structure the user mobile context is exposed and justified. Furthermore, since capturing, structuring, and modeling mobile contextual information is still a research issue, a wide inventory of existing research work on context and mobile context is provided. Then, step by step, we methodologically identify relevant contextual information to capture for mobility purposes as well as for BI needs, organize them into context-dimensions, and build a hierarchical mobile GeoBI context model which (1) is geo-spatial-extended, (2) fits with human perception of mobility, (3) takes into account the local context interactions and information-sharing with remote contexts, and (4) matches with the usual hierarchical aggregated structure of BI data.

A single base permutation in any loop of a folded intramolecular quadruplex influences its structure and stability

The human telomere sequence (TTAGGG)4 folds into an unusual conformation possessing three G-tetrads linked by TTA loops. The first loop is a propeller loop while the second and third loops are transverse loops. Using Circular Dichroism (CD) spectroscopy, we have investigated the effect of sequence context on the structures and stabilities of intramolecular G-quadruplexes related to the human telomere sequence by considering all permutations of T and A within the loops. The results indicate that changing only one base in any one loop can have a dramatic effect on the conformation of the quadruplex as well as its melting temperature, Tm. Thus, each sequence studied has a unique CD spectrum and Tm. In general, variants with a modified second loop are the most stable while the wild type sequence is the least stable. The observed difference in CD spectra and melting temperature are discussed in terms of base stacking within the loop and stacking of the loop bases with adjacent G-tetrads.

A Study On the Structural Dimension of Middle Class Relational Identification in Chinese Context

Through in-depth interviews,this study makes an exploratory study on the dimension of the middle class relational identification in Chinese context by using the grounded theory.It is mainly composed of 4 dimensions:relational orientation,relational adaptation,relational evaluation and relational development.According to the four dimension model of middle class relational identification,the middle class relational identification in China is the cognitive and behavioral orientation that in the action of achieving a certain purpose,because of the perception of consistence with each other in role cognition and personal cognition,the middle class is willing to unite and trust,respect and understand and coordinate the conflict to adapt to this relationship,and then to form a positive evaluation of the relationship and a sense of belonging and commitment to this relationship.The construction of the structural dimension of middle class relational identification in China is conducive to explaining the endemic phenomena of Chinese middle class.

A Generic Description Model for the Structure of Atomic Nucleus with New Interpretation of the Strong Forces

The present investigation is motivated by finding and developing an easily understandable solution in the context of unified quantum and gravitational theories. Model-based methods are applied, with emphasis on structural descriptions by introducing some strong hypotheses. A subset of the introduced hypotheses led to a surprising understanding of the internal structure and construction of quarks, neutrons, protons and more complex atomic nuclei. The research work therefore focused mainly on the model-based interpretation of subatomic processes. The results obtained so far and presented in this paper are new. They consist of a generic description model for the structure of atomic nuclei. This model contains two important structural links that originate from the initial phase of the cosmological big bang. They hold atomic parts together and are involved in many known nuclear fusion and fission processes. Modifications of them, including the electron-positron annihilation process, are necessary and will be described. A new interpretation of the strong forces from the Standard Model is possible and will be given. In addition, the formation processes for electron and positron particles are considered. Based on the structural relationships, a deeper understanding of matter transformations (transmutations), early cosmological processes and dark matter has been achieved. All challenges of this work are the logical conclusions from the used hypotheses on two structural links. They need to be further investigated and verified by theoretical and experimental works. The postulated particle in this paper, as accompanying product in the electron-positron annihilation, will play a major role for the future investigations.

Self-adaptively inpainting gaps between electrical image pads according to the image fabric

Images created from measurements made by wireline microresistivity imaging tools have longitudinal gaps when the well circumference exceeds the total width of the pad-mounted electrode arrays.The gap size depends on the tool design and borehole size,and the null data in these gaps negatively aff ect the quantitative evaluation of reservoirs.Images with linear and texture features obtained from microresistivity image logs have distinct dual fabric features because of logging principles and various geological phenomena.Linear image features usually include phenomena such as fractures,bedding,and unconformities.Contrarily,texture-based image features usually indicate phenomena such as vugs and rock matrices.According to the characteristics of this fabric-based binary image structure and guided by the practice of geological interpretation,an adaptive inpainting method for the blank gaps in microresistivity image logs is proposed.For images with linear features,a sinusoidal tracking inpainting algorithm based on an evaluation of the validity and continuity of pixel sets is used.Contrarily,the most similar target transplantation algorithm is applied to texture-based images.The results obtained for measured electrical imaging data showed that the full borehole image obtained by the proposed method,whether it was a linear structural image refl ecting fracture and bedding or texture-based image refl ecting the matrix and pore of rock,had substantially good inpainting quality with enhanced visual connectivity.The proposed method was eff ective for inpainting electrical image logs with large gaps and high angle fractures with high heterogeneity.Moreover,ladder and block artifacts were rare,and the inpainting marks were not obvious.In addition,detailed full borehole images obtained by the proposed method will provide an essential basis for interpreting geological phenomena and reservoir parameters.

Towards a Smallest Scale of Context in Ontology Integration

In order to solve the ambiguity problems in the semantic context （structure, granularity or scale） emerging in the process of ontology integration application, this paper analyzes the essential characters of context structure, proposes a novel semantic context generating algorithm, which is implemented over VO-Editor（visual ontology editor）, from the satisfiability-based point of view, and proves that the context entity generated by this algorithm is smallest in scale and unique. It offers a feasible means for developers to handle context problems for ontology integration application.

The Effects of Organization Context, Investment Strategy, and Entry Mode on Management Performance： An Analysis of Taiwan Residents Enterprises in China Mainland

Among the top 1,000 Taiwan Residents enterprises in China listed by the database of Commercial Times in 2012, 763 of them witnessed revenue growth and 864 of them were in profits. This paper seeks to identify the reasons behind such a stellar performance by conducting an empirical study on the top 500 Taiwan Residents businesses in the database. The results suggest that： （1） the larger the investment into China, the better the business performances; （2） the higher the ownership by Taiwan Residents firms for the outward investments to China, the better the business performances; （3） compared to investments in IT, technology and machinery, the outward investments from Taiwan to China achieve better returns in commodity, energy, and mining; （4） compared to investments in Eastern, Central, and Western China, the investments in Chinese municipalities generate better returns.

属性偏序形式结构的数学形式化

属性偏序形式结构,作为一种基于人类认知原理和粒计算思想的知识发现和知识表示新理论,目前已有广泛的应用,但其理论基础缺乏抽象化数学化,这势必影响该理论的系统发展。针对上述问题,研究了属性偏序形式结构的数学形式化描述问题。首先,基于粒计算的思想提出了知识表示的形式化框架。在此基础上,通过定义对象集合的覆盖和最简覆盖,给出属性偏序形式结构的粒和粒群的概念,进而通过对粒衍生出粒群的充要条件的讨论,给出了属性偏序形式结构中的知识结构,从而完成属性偏序形式结构的数学形式化描述。最后,通过具体实例展示了利用数学形式化描述构造属性偏序形式结构的过程,并揭示了该过程所体现的人类认知规律。

不同活动情境下母亲词汇输入特征及其对儿童词汇发展的影响

语言学习的活动情境理论指出,儿童的语言学习嵌入在日常活动情境中。本研究基于这一理论,对汉语儿童与母亲在四种结构化情境下的互动情况进行了分析,发现活动情境、母亲语言特征以及儿童个体特征共同构成了影响汉语儿童词汇语义输入的环境系统。四种结构化活动情境共同推动母亲与儿童互动时产出更加丰富的词汇语义,但不同活动情境下母亲的词汇语义输入具有显著的差异;儿童的年龄和性别特征部分约束了母亲的语言输入特征;活动情境、儿童个体和母亲三个要素在推动儿童语义发展方面都有着不同的作用。研究同时发现,在互动过程中,母亲注重词汇输入的一致性、活动情境性和发展适宜性,但也存在回应敏感度低的问题。基于上述发现,本研究建议关注儿童语言发展的支持性环境系统,特别要营造高质量的结构化活动情境,并进一步提升母亲语言互动质量。

积极的阐释与消极的阐释

文本解读是人文学科的基本方法,文学阐释的很大一部分是对文学文本的阐释。“积极的阐释”与“消极的阐释”是文学阐释的两种理论姿态。“积极的阐释”频繁出场不仅是由于现代阐释学的转向,而且与理论的推动存在密切关系。文学之所以成为“积极的阐释”最为活跃的一个区域,很大程度上是因为阐释的理性语言与感性体验不对称。“积极的阐释”放弃文本的有机整体观念,并时常跨越审美愉悦的羁绊而另行制造各种新的话题。“历史语境”既是阐释发生变化的依据,也是阐释稳定持续的依据。多数“积极的阐释”作为失败的思想实验而沉没,而少数“积极的阐释”则可能充当某种文化革命的先声。

面向无人驾驶场景的实时语义分割算法研究

针对现有无人驾驶场景中分割精度与运行速度之间难以取得平衡的问题,提出一种新型的实时语义分割算法。首先,利用残差结构(Residual)构建出高效特征提取单元(EFEU)以更好地感知空间和语义信息;其次,采用了一种双边结构,其中空间分支结合池化操作保留浅层空间信息,上下文分支用来提供大的感受野,捕获深层上下文信息,两条分支在网络的不同阶段合并,以加强不同层次之间的信息传播。最后结合深度可分离卷积和通道重排操作构建上下文融合模块,将不同层次之间的信息进行融合,进一步提高模型的分割效果。在常用的数据集上进行实验,实验结果证明了所提方法的有效性。

宗族型传统聚落空间形态特征与保护研究——以山西省介休市南贾村为例

宗族型传统聚落往往基于单个或多个宗族聚居发展形成,宗族的兴衰变迁与行为活动影响着聚落本身的空间形态特征。文章对山西省介休市的宗族型传统聚落南贾村进行剖析,分析其宗族文脉与宗族结构,以及聚落空间形成演变中的不同阶段,解读南贾村的宗族结构与聚落空间形态特征的联系。并且根据研究和现场调研情况,对南贾村空间形态的现状进行总结,分析聚落空间保护中存在的问题和不足,基于宗族视角提出相应的保护策略方法,为宗族型传统聚落保护提供借鉴和参考。

大数据背景下社交平台伪健康信息传播影响因素研究

探究大数据背景下社交平台伪健康信息传播影响因素,为有关部门更好地制定伪健康信息管理策略提供参考与借鉴。整合S-O-R模型和MOA理论,引入个性化推荐这一新变量,构建社交平台伪健康信息传播影响因素模型,利用问卷调查和结构方程模型验证模型和假设的合理性。研究表明信息交换、健康关注度、信息质量、信息新颖和个性化推荐正向影响用户感知,进而正向影响用户伪健康信息传播行为,而健康信息素养负向影响用户伪健康信息传播行为,并据此提出管理社交平台伪健康信息传播的可行性建议。

创业情境下的效果推理研究述评与展望

传统因果逻辑以详实的分析、清晰的目标和准确的预测为基础,而现实中的创业情境通常面临不确定性环境、目标模糊和未来无法预测,此时因果逻辑不再适用。效果推理给解决不确定性创业情境下的决策问题带来新思路,也能为创业实践提供启示。通过对相关文献进行回顾和梳理,在分析效果推理概念内涵和结构测量的基础上,对其影响因素和作用机制等内容进行述评,以厘清现有研究可能存在的不足,明确后续研究方向,为未来的深入研究提供理论借鉴。研究结果不仅对效果推理理论相关研究具有重要学术价值,还能为不确定性情境下的创业实践提供指导性建议。

一种基于结构感知的肝血管分割模型

为了在缺乏大量肝血管标注信息的情况下增强肝血管结构分割,提出了局部-长距离-相邻信息融合模块,并将其嵌入U-Net的编码阶段,得到一种基于结构感知的肝血管分割网络。该模块有3个分支:提取特征图局部信息的残差卷积模块,利用自注意力机制提取特征图的全局信息的长距离提取模块,以及利用相邻切片补充上下文信息的相邻信息提取模块。通过将以上3个分支模块的输出特征图进行融合,可以有效提升网络的血管结构感知能力,缓解2D网络无法表征血管立体走向与3D网络训练数据不足的问题。分别在MICCAI十项全能数据集中的肝血管与肿瘤数据集和三甲医院收集标注的自采肝血管数据集上进行了广泛的对比实验。结果表明,与多种主流的分割算法相比,该算法取得了最优的血管分割性能。所提出的方法在MICCAI数据集上Dice值达到64.04%,在自采肝血管数据集上Dice值达到了72.07%。

舆论战的话语深层结构和语境重构趋向

[研究目的]新时代国际关系背景下的中西方舆论斗争形势依然严峻,分析对美舆论战的语境构成及新时代舆论场的重构趋向,对认清舆论战本质、争夺舆论场话语主导权、提高国际传播能力具有重大意义。[研究方法]结合语言学与传播学的相关理论,定义舆论战及其特质属性,从语场、语式、语旨三个语境维度解构舆论战的话语深层结构,并基于此分析新时代舆论战语境在三个维度的重构趋向,进而提出有效开展舆论战的攻防策略。[研究结论]对舆论斗争话语的深层结构分析有助于认清舆论战的本质,做到“知理”“会战”,进而制定相应的防御、进攻及进攻式防御策略,确保国家在国际舆论博弈中取得话语先导主导优势。

顺应论在《伊豆的舞女》汉译中的应用研究——以女性描写为例

《伊豆的舞女》是川端康成早期的小说成名之作,内容主要为纯真的爱情故事,其中独特的女性形象也值得研究。该文选择叶渭渠的《伊豆的舞女》汉译本为研究对象,结合顺应论的变异性、协商性和顺应性三个核心概念,以语境选择与顺应、结构选择与顺应为基础,对《伊豆的舞女》译本中部分女性描写的例子进行研究。在语言结构的对象中,对词汇、语序进行分类研究。在语境中,译者在理解原文的基础上结合文化,根据原文中的历史背景、社会规则以及人物所体现的内心世界进行分析,从而选择适合表达原文的译文。该文旨在探讨译者在翻译过程中如何实现翻译的选择和顺应,达到更好的翻译效果。

Deep structure beneath the southwestern section of the Longmenshan fault zone and seimogenetic context of the 4.20 Lushan M_S7.0 earthquake

Magnetotelluric measurements were carried out along two profiles across the middle and southwestern sections of the Longmenshan fault zone(LMSf)from 2009 to 2011,after the 2008 Wenchuan MW7.9 earthquake.The former profile crosses the Wenchuan event epicenter and the latter one crosses 2013 Lushan MS7.0 event epicenter.The data were analyzed using advanced processing techniques,including phase tensor and two-dimensional inversion methods,in order to obtain reliable 2-D profiles of the electrical structure in the vicinity of the two earthquakes.A comparison of the two profiles indicates both similarities and differences in the deep crustal structure of the LMSf.West of the southwestern section,a crustal high conductivity layer(HCL)is present at about 10 km depth below the Songpan-Garzêblock;this is about 10 km shallower than that under the middle section of the LMSf.A high resistivity body(HRB)is observed beneath the southwestern section,extending from the near surface to the top of upper mantle.It has a smaller size than the HRB observed below the middle section.In the middle section,there is a local area of decreased resistivity within the HRB but there is absence of this area.The 2013 Lushan earthquake occurred close to the eastern boundary of HRB and the Shuangshi-Dachuan fault,of which the seismogenic context has both common and different features in comparison with the 2008 Wenchuan event.On a large scale,the 2013 Lushan earthquake is associated with the HCL and deformation in the crust including HCL of the eastern Tibetan Plateau.In order to assess seismic risk,it is important to consider both the stress state and the detailed crustal structure in different parts of the LMSf.