Equivalent formulations of the Müntz-Szász completeness condition for systems of complex exponentials

New results pertaining to the completeness of a system of complex exponentials in L_p spaces are presented. It is shown that the well-known Müntz-Szász condition can be interpreted in terms of an equivalence relation, thereby proving that the standard Müntz-Szász formulation is equivalent with certain alternative formulations.     

A three-phase method for patent classification

An automatic patent categorization system would be invaluable to individual inventors and patent attorneys, saving them time and effort by quickly identifying conflicts with existing patents. In recent years, it has become more and more common to classify all patent documents using the International Patent Classification (IPC), a complex hierarchical classification system comprised of eight sections, 128 classes, 648 subclasses, about 7200 main groups, and approximately 72,000 subgroups. So far, however, no patent categorization method has been developed that can classify patents down to the subgroup level (the bottom level of the IPC). Therefore, this paper presents a novel categorization method, the three phase categorization (TPC) algorithm, which classifies patents down to the subgroup level with reasonable accuracy. The experimental results for the TPC algorithm, using the WIPO-alpha collection, indicate that our classification method can achieve 36.07% accuracy at the subgroup level. This is approximately a 25,764-fold improvement over a random guess.     

H∞ filtering for linear neutral systems with mixed time-varying delays and nonlinear perturbations

In this paper, the problem of H_∞ filtering for neutral systems with mixed time-varying delays and nonlinear perturbations is investigated. Some new delay-dependent sufficient conditions are presented to ensure that the filtering error system is asymptotically stable with a prescribed level of H_∞ noise attenuation. In addition, the design procedures for the existence of such filter are presented in terms of a set of linear matrix inequalities (LMIs). Slack variables and convex combination technique are adopted to reduce the conservatism of obtained results. Finally, three numerical examples are given to illustrate the effectiveness of the proposed method.     

A generalized cluster centroid based classifier for text categorization

In this paper, a Generalized Cluster Centroid based Classifier (GCCC) and its variants for text categorization are proposed by utilizing a clustering algorithm to integrate two well-known classifiers, i.e., the K-nearest-neighbor (KNN) classifier and the Rocchio classifier. KNN, a lazy learning method, suffers from inefficiency in online categorization while achieving remarkable effectiveness. Rocchio, which has efficient categorization performance, fails to obtain an expressive categorization model due to its inherent linear separability assumption. Our proposed method mainly focuses on two points: one point is that we use a clustering algorithm to strengthen the expressiveness of the Rocchio model; another one is that we employ the improved Rocchio model to speed up the categorization process of KNN. Extensive experiments conducted on both English and Chinese corpora show that GCCC and its variants have better categorization ability than some state-of-the-art classifiers, i.e., Rocchio, KNN and Support Vector Machine (SVM).     

Design of mixed H2-dissipative observers with stochastic resilience for discrete-time nonlinear systems

A linear matrix inequality based mixed H₂-dissipative type state observer design approach is presented for smooth discrete time nonlinear systems with finite energy disturbances. This observer is designed to maintain H₂ type estimation error performance together with either H_∞ or a passivity type disturbance reduction performance in case of randomly varying perturbations in its gain. A linear matrix inequality is used at each time instant to find the time-varying gain of the observer. Simulation studies are included to explore the performance in comparison to the extended Kalman filter and a previously proposed constant gain observer counterpart.     

Data management in cognitive financial systems

This publication discusses ways of using cognitive analyses for semantically interpreting economic figures. A semantic analysis making use of mathematical linguistic algorithms in order to extract meaning from sets of analysed data is illustrated with an example of a class of cognitive systems designed to analyse economic figures, or more precisely, financial ratios. The cognitive analysis systems presented in this publication are discussed as exemplified by the class of Cognitive Financial Analysis Information Systems (CFAIS). This publication proposes algorithms executed by a broad class of automatic data interpretation and understanding systems designed for the in-depth semantic analysis and interpretation of the results obtained. This will be done by defining new system classes as applications supporting decision-making processes, useful in various areas of knowledge.     

An LMI approach to robust H∞ filtering for uncertain systems with time-varying distributed delays

In this paper, the problem of robust H_∞ filtering for uncertain systems with time-varying distributed delays is considered. The uncertainties under discussion are time varying but norm bounded. Based on the Lyapunov stability theory, sufficient condition for the existence of full order H_∞ filters is proposed by linear matrix inequality (LMI) approach such that the filtering error system is asymptotically sable and satisfies a prescribed attenuation level of noise. A numerical example is given to demonstrate the availability of the proposed method.     

H∞ filtering for nonlinear systems via neural networks

A novel H_∞ filter design methodology has been presented for a general class of nonlinear systems. Different from existing nonlinear filtering design, the nonlinearities are approximated using neural networks, and then are modeled based on linear difference inclusions, which makes the structure of the desired filter simpler and parameter turning easier and has the advantages of guaranteed stability, numeral robustness, bounded estimation accuracy. A unified framework is established to solve the addressed H_∞ filtering problem by exploiting linear matrix inequality (LMI) approach. A numerical example shows that the filtering error systems will work well against bounded error between a nonlinear dynamical system and a multilayer neural network.     

Information and communication technologies (ICTs) and farmers’ decision-making across the agricultural supply chain

Using a case study of the Indian Tobacco Company's (ITC) e-Choupal initiative, the paper empirically analyses the role of information delivery through information and communication technology (ICT) in enhancing decision-making capabilities of Indian farmers. Users of e-Choupal show significantly better decision-making aptitudes, as compared to non-users, on various agricultural practices across the agricultural supply chain. Further, socio-demographic background's of the users such as education levels, the social category they belong to, income level's, and landholding size also play a significant role in impacting decision-making aptitudes. The impact is particularly prominent in production planning and post-harvest and marketing related decisions. Policy implications of these findings are discussed. The study emphasizes the importance of designing ICT enabled information systems to suit the socio-demographic profile of the user groups.     

Character n-gram application for automatic new topic identification

The widespread availability of the Internet and the variety of Internet-based applications have resulted in a significant increase in the amount of web pages. Determining the behaviors of search engine users has become a critical step in enhancing search engine performance. Search engine user behaviors can be determined by content-based or content-ignorant algorithms. Although many content-ignorant studies have been performed to automatically identify new topics, previous results have demonstrated that spelling errors can cause significant errors in topic shift estimates. In this study, we focused on minimizing the number of wrong estimates that were based on spelling errors. We developed a new hybrid algorithm combining character n-gram and neural network methodologies, and compared the experimental results with results from previous studies. For the FAST and Excite datasets, the proposed algorithm improved topic shift estimates by 6.987% and 2.639%, respectively. Moreover, we analyzed the performance of the character n-gram method in different aspects including the comparison with Levenshtein edit-distance method. The experimental results demonstrated that the character n-gram method outperformed to the Levensthein edit distance method in terms of topic identification.     

The tipping point: F-score as a function of the number of retrieved items

One of the best known measures of information retrieval (IR) performance is the F-score, the harmonic mean of precision and recall. In this article we show that the curve of the F-score as a function of the number of retrieved items is always of the same shape: a fast concave increase to a maximum, followed by a slow decrease. In other words, there exists a single maximum, referred to as the tipping point, where the retrieval situation is ‘ideal’ in terms of the F-score. The tipping point thus indicates the optimal number of items to be retrieved, with more or less items resulting in a lower F-score. This empirical result is found in IR and link prediction experiments and can be partially explained theoretically, expanding on earlier results by Egghe. We discuss the implications and argue that, when comparing F-scores, one should compare the F-score curves’ tipping points.     

阿拉善盟肉苁蓉产品供给服务评估

为协调阿拉善盟梭梭林资源保护和人工接种肉苁蓉产业开发的矛盾,兼顾当地野生肉苁蓉产品的＂产出能力＂和百姓的＂获取难易＂两个因素,构建了基于GIS的野生肉苁蓉产品供给服务及价值的空间表达评估技术框架。研究结果表明：2008年,阿盟野生肉苁蓉供给服务总量为503.05t/a,仅为理论总产出量的3.66%;供给服务总价值达0.25亿元;赛汉陶来苏木、东风镇、乌力吉苏木和吉兰泰镇能够最为方便的获得最多的野生肉苁蓉产品,建议有条件的开展人工接种肉苁蓉的开发利用;而阿拉腾敖包和达来呼布镇大部分梭梭林受当地百姓采挖肉苁蓉的影响较弱,开发与保护的矛盾不明显,建议有条件的进行梭梭林围栏封育。     

我国体育学术期刊的国际传播力与举措——以《运动与健康科学》为例

【目的】 分析SCI/SSCI收录期刊《运动与健康科学(英文)》提升国际传播力的成功举措,为我国体育学术期刊增强国际传播能力、树立品牌提供可行路径。【方法】 采用文献资料法,揭示我国体育学术期刊在增强国际传播能力过程中存在的问题,重点分析《运动与健康科学(英文)》提升国际传播力的有效做法。【结果】 我国体育学术期刊要实现国际传播能力的整体提升,须从围绕学科热点组稿约稿、善于运用新媒体、突出中国特色报道重点等方面入手,借助国际出版平台或构建我国体育学术期刊联盟对外传播。【结论】 有效、精准的国际传播力提升措施,对学术期刊国际影响力的快速提升及品牌的树立发挥了巨大作用。     

Kinetics of Inhibition of Monoamine Oxidase Using <Emphasis Type="Italic">Cymbopogon martinii</Emphasis> (Roxb.) Wats.: A Potential Antidepressant Herbal Ingredient with Antioxidant Activity

The study was designed to evaluate the antioxidant activity and effect of Cymbopogon martinii (Roxb.) Wats. (Poaceae) leaves on the activity of monoamine oxidase and kinetics of enzyme inhibition. Ethanol extract of C. martinii and rat brain mitochondrial monoamine oxidase preparation ware used to study the kinetics of enzyme inhibition using double reciprocal Lineweaver–Burk plot. The DPPH was used as a source of free radical to evaluate antioxidant potential. It is observed that, the ethanolic extract of C. martinii inhibits the monoamine oxidase activity with competitive mode of inhibition. The V _max (0.01 mM/min) remained constant while, K _m varied from 21.00 ± 1.1, 43.33 ± 1.5 and 83.33 ± 1.4 mM for 100–500 μg/ml concentration of C. martinii. The K _i values were calculated to be 90.00 ± 0.87, 75.00 ± 0.69, 68.18 ± 0.68 μg for 100–500 μg/ml concentration of C. martini. It also shows a significant DPPH (1,1-diphenyl-2-picryl hydrazine) radical scavenging (IC₅₀ = 0.34 ± 0.05 mg/ml) and reducing activity (IC₅₀ = 0.70 ± 0.22 mg/ml). The C. martini can be considered as a possible source of MAO inhibitor used in the treatment of depression and other neurological disorders.     

Comparative political communication research in the digital epoch: A typology of national communication spaces

Abstract

This study makes a systematic effort to connect digital communication research with comparative political analysis. It explores the concurrence of global influence and national resilience in digital spheres, integrating the homogenizing tendencies of networked connectedness and globalization with heterogeneous configurations of national political communication spaces, which are strongly influenced by enduring social contexts. Drawing on the process-oriented actor-connector-interlocutor model, this study uses three sets of indicators to classify national political communication spaces. It conceptualizes three distinctive types of political communication spaces – “symmetrical and fully-fledged,” “vigorous but censored,” and “infertile and unresponsive” – and identifies their characteristics, internal logics, and their linkages to other communication spaces. It offers a systematic and applicable framework that may be used in future studies on cross-national comparisons of political communication processes in digital spheres.     

Delineation of the Structural Elements of Oriental Liver Fluke PLA2 Isoforms for Potent Drug Designing

Clonorchis sinensis or the Chinese liver fluke is one of the most prevalent parasites affecting a major population in the oriental countries. The parasite lacks lipid generating mechanisms but is exposed to fatty acid rich bile in the liver. A secretory phospholipase A₂, an enzyme that breaks down complex lipids, is important for the growth of the parasite. The enzyme is also implicated in the pathogenesis leading up to the hepatic fibrosis and its complications including cancer. The five isoforms of this particular enzyme from the parasite therefore qualify as potential drug targets. In this study, a detailed structural and ligand binding analysis of the isoforms has been done by modeling. The overall three dimensional structures of the isoforms are well conserved with three helices and a β-wing stabilized by four disulfide bonds. There are characteristic differences at the calcium binding loop, hydrophobic channel and the C-terminal domain that can potentially be exploited for drug binding. But the most significant feature pertains to the catalytic site where the isoforms exhibit three variations of either a histidine-aspartate-tyrosine or histidine-glutamate-tyrosine or histidine-aspartate-phenylalanine. Molecular docking studies show that isoform specific residues and their conformations in the substrate binding hydrophobic channel make unique interactions with certain inhibitor molecules resulting in a perfect tight fit. The proposed ligand molecules have a predicted affinity in micro-molar to nano-molar range. Interestingly, few of the ligand binding interaction patterns is in accordance to the phylogenetic studies to thereby establish the usefulness of evolutionary mechanisms in aiding ligand design. The molecular diversity of the parasitic PLA₂ described in this study provides a platform for personalized medicine in the therapeutics of clonorchiasis.

Electronic supplementary material

The online version of this article (doi:10.1007/s12291-013-0377-1) contains supplementary material, which is available to authorized users.     

f(x)指数:期刊学术影响力评价新指标

[目的]为丰富期刊学术影响力评价指标体系,提出了一种新的期刊学术影响力评价指标-f(x)指数。[方法]以《中国科技期刊引证报告》2012年期刊目录中的34种图书情报学期刊为例,通过CNKI获取各期刊2012年的载文量、篇被引频次,利用excel、c++计算相应评价指标的得分,并根据f(x)指数的得分对期刊进行排名。[结果]与当年遴选出的CSSCI核心期刊相比,评价结果准确率达94.12%;对各指标进行相关分析,发现f(x)指数与包括影响因子在内的多种期刊评价指标存在较强的正相关。[结论]f(x)指数利用对数函数的性质,考虑了期刊的载文量、总被引、篇均被引等因素,考虑了低被引和高被引论文的差异性,可作为期刊学术影响力评价的指标。     

科技期刊封面图文信息的视觉传播研究——以《科学美国人(国际版)》为例

【目的】 探究《科学美国人(国际版)》封面图文信息的视觉传播特点,为我国科技期刊封面设计迈向精品化与国际化提供借鉴。【方法】 从社会符号学的视角出发,运用多模态话语分析理论,采用定量与定性分析相结合的研究方法,对2006—2016年该期刊129幅封面图文关系进行信息传播的解读与分析。【结果】 在理论应用过程中对原理论进行补充和修正,同时弥补了社会符号学和视觉传播双重视域下科技期刊封面的研究缺憾,为我国科技期刊的封面设计提供另类思路。【结论】 科技期刊应树立、坚守期刊品牌的视觉形象,注重文字模态和图像模态的相互配合,使封面科学信息的视觉传播效果最大化和最优化。     

Wikipedia bi-linear link (WBLM) model: A new approach for measuring semantic similarity and relatedness between linguistic concepts using Wikipedia link structure

Wikipedia links its articles by manually defined semantic relations called the Wikipedia hyperlink (link) structure. The existing Wikipedia link-based semantic similarity (SS) and semantic relatedness (SR) computation models, such as Wikipedia one-way link (WOLM) model and Wikipedia two-way link (WTLM) model, do not assess the strengths of the relationships between a candidate concept and its links (out-links or in-links). These models treat all the links as equally important even though some links are semantically more influential than others and should be given more importance. This phenomenon reduces the accuracy of these models. This paper presents the Wikipedia bi-linear link (WBLM) model that extends the previously proposed WOLM and WTLM models. The WBLM model explores the Wikipedia link structure as a semantic graph and discovers the strongly (bi-linear links) and weakly (out-links or in-links) connected links of a candidate concept. It improves the link-based vector representations of concepts by assigning weights to their connected links according to the strengths of their semantic associations. The experimental results demonstrate that the proposed WBLM model significantly improves the SS and SR computation accuracy of the WOLM model (6.9%, 8%, 24%, 17.3%, 31.2%, 30.6%, 26.5%, and 35.4%) and WTLM model (1.2%, 3.9%, 7.1%, 9.9%, 11%, 6.3%, 12.7%, and 13%), in terms of linear correlations with human judgments on gold standard benchmarks, including MC30, RG65, WS203, SimLex, 353All, MTurk287, MTurk771, and MEN3000, respectively. Moreover, this research offers a deep insight into the Wikipedia link structure and provides an adequate base for understanding it as a semantic graph.     

异地终审会:提高科技期刊学术质量及影响力的新举措

【目的】探讨异地终审会提高科技期刊学术质量和影响力的效果。【方法】 2015年4-6月,在总结《中国实用妇科与产科杂志》8年来异地终审会效果的基础上,通过查阅既往文献,比较异地终审会与本地终审会的差异,以及异地终审会在提高期刊学术质量及影响力方面的优势。【结果】与本地终审会相比,异地终审会专家学科知识涵盖更全面,可减小审稿的地域局限性;减轻本地编委终审压力,调动异地编委审稿积极性;更加强了编辑部与编委的沟通和联系;扩大了期刊的学术质量和影响力,提高了被引频次和影响因子。【结论】异地终审会可以达到提高期刊学术质量和影响力的目的。