Transmission network expansion planning considering repowering and reconfiguration

Transmission expansion planning (TEP) is a classic problem in electric power systems. In current optimization models used to approach the TEP problem, new transmission lines and two-winding transformers are commonly used as the only candidate solutions. However, in practice, planners have resorted to non-conventional solutions such as network reconfiguration and/or repowering of existing network assets (lines or transformers). These types of non-conventional solutions are currently not included in the classic mathematical models of the TEP problem. This paper presents the modeling of necessary equations, using linear expressions, in order to include non-conventional candidate solutions in the disjunctive linear model of the TEP problem. The resulting model is a mixed integer linear programming problem, which guarantees convergence to the optimal solution by means of available classical optimization tools. The proposed model is implemented in the AMPL modeling language and is solved using CPLEX optimizer. The Garver test system, IEEE 24-busbar system, and a Colombian system are used to demonstrate that the utilization of non-conventional candidate solutions can reduce investment costs of the TEP problem. (C) 2015 Elsevier Ltd. All rights reserved.

Complex networks analysis of language complexity

Methods from statistical physics, such as those involving complex networks, have been increasingly used in the quantitative analysis of linguistic phenomena. In this paper, we represented pieces of text with different levels of simplification in co-occurrence networks and found that topological regularity correlated negatively with textual complexity. Furthermore, in less complex texts the distance between concepts, represented as nodes, tended to decrease. The complex networks metrics were treated with multivariate pattern recognition techniques, which allowed us to distinguish between original texts and their simplified versions. For each original text, two simplified versions were generated manually with increasing number of simplification operations. As expected, distinction was easier for the strongly simplified versions, where the most relevant metrics were node strength, shortest paths and diversity. Also, the discrimination of complex texts was improved with higher hierarchical network metrics, thus pointing to the usefulness of considering wider contexts around the concepts. Though the accuracy rate in the distinction was not as high as in methods using deep linguistic knowledge, the complex network approach is still useful for a rapid screening of texts whenever assessing complexity is essential to guarantee accessibility to readers with limited reading ability. Copyright (c) EPLA, 2012

Homophobic discourse in blogs: Weaving of violence and network

This article aims at analyzing the effects of meaning installed in the discursive space of a blog, especially a formulation of discriminatory nature which was posted in November, 2011 and considerably discussed in other discursive spaces on the Internet. By means of French Discourse Analysis, we sought to track the memory networks and the ideological effects that are at play in the discourse on homosexuals posted by browsers-subjects and how they update the meanings already there in order to install effects of prejudice and hatred. Our interest is also to catch the meanings of violence inscribed in the electronic network and analyze the functioning of the language in motion in this space bordered by the imaginary in which it is possible to say anything. Hence, by means of the analyses performed in this study, we observed these effects of the subject's full freedom when he/she subscribes to the electronic network without fear of any punishment of any order. The discourses of intolerance and hatred posted on the blog by the subject give voice to a discursive confrontation observed by marks of agreement or indignation, supported by the discursive memory. Thus, we observed the interruption of regularities that break up with a supposed linearity in the discourse, putting the contradiction and the heterogeneous nature of the sayings on the net in motion.

The Design of XML-Based Model and Experiment Description Languages for Network Simulation

The Simulation Automation Framework for Experiments (SAFE) is a project created to raise the level of abstraction in network simulation tools and thereby address issues that undermine credibility. SAFE incorporates best practices in network simulationto automate the experimental process and to guide users in the development of sound scientific studies using the popular ns-3 network simulator. My contributions to the SAFE project: the design of two XML-based languages called NEDL (ns-3 Experiment Description Language) and NSTL (ns-3 Script Templating Language), which facilitate the description of experiments and network simulationmodels, respectively. The languages provide a foundation for the construction of better interfaces between the user and the ns-3 simulator. They also provide input to a mechanism which automates the execution of network simulation experiments. Additionally,this thesis demonstrates that one can develop tools to generate ns-3 scripts in Python or C++ automatically from NSTL model descriptions.

Analyzing online communication from a social network point of view: questions, problems, perspectives

This programmatic paper investigates the possibilities, chances, and risks of analyzing personal and professional online communication from the point of view of interactional sociolinguistics combined with modern social network analysis (SNA). Thus, it has two complementing goals: One is the exploration of adequate, innovative concepts and methods for analyzing online communication, the other is to use online communication and its ontological and functional specificities to enrich the conceptual and methodological background of SNA. The paper is organized in two parts. It begins with an introduction to recent developments in sociolinguistic social network analysis. Here, three interesting new concepts and tools are discussed: latent versus emergent networks (Watts 1991), coalitions (Fitzmaurice 2000a, Fitzmaurice 2000b), and communities of practice (Wenger 1998

Chinese Internet language: A sociolinguistic analysis of adaptations of the Chinese writing system

This paper examines the adaptations of the writing system in Internet language in mainland China from a sociolinguistic perspective. A comparison is also made of the adaptations in mainland China with those that Su (2003) found in Taiwan. In Computer-Mediated Communication (CMC), writing systems are often adapted to compensate for their inherent inadequacies (such as difficulty in input). Su (2003) investigates the creative uses of the writing system on the electronic bulletin boards (BBS) of two college student organizations in Taipei, Taiwan, and identifies four popular and creative uses of the Chinese writing system: stylized English, stylized Taiwanese-accented Mandarin, stylized Taiwanese, and the recycling of a transliteration alphabet used in elementary education. According to Coupland (2001; cited in Su 2003), stylization is “the knowing deployment of culturally familiar styles and identities that are marked as deviating from those predictably associated with the current speaking context”. Within this framework and drawing on the data in previous publications on Internet language and online sources, this study identifies five types of adaptations in mainland China’s Internet language: stylized Mandarin (e.g., 漂漂 piāopiāo for 漂亮 ‘beautiful’), stylized dialect-accented Mandarin (e.g., 灰常 huīcháng for 非常 ‘very much’), stylized English (e.g., 伊妹儿 yīmèier for ‘email’), stylized initials (e.g., bt 变态 biàntài for ‘abnormal’; pk, short form for ‘player kill’), and stylized numbers (e.g., 9494 jiùshi jiùshi 就是就是 ‘that is it’). The Internet community is composed of highly mobile individuals and thus forms a weak-tie social network. According to Milroy and Milroy (1992), a social network with weak ties is often where language innovation takes place. Adaptations of the Chinese writing system in Internet language provide interesting evidence for the innovations within a weak-tie social network. Our comparison of adaptations in mainland China and Taiwan shows that, in maximizing the effectiveness and functionality of their communication, participants of Internet communication are confronted with different language resources and situations, including differences in Romanization systems, English proficiency level, and attitudes towards English usage. As argued by Milroy and Milroy (1992), a weak-tie social network model can bridge the social class and social network. In the Internet community, the degree of diversity of the stylized linguistic varieties indexes the virtual and/or social status of its participants: the more diversified one’s Internet language is, the higher is his/her virtual and/or social status.

Gender and language in online job advertisements - a cross-cultural study

The aim of this project is to investigate the use of gender-fair language from a cross-linguistic perspective. Specifically, we are interested in whether the use of gender-fair language correlates with socio-economic rankings of gender equality and with structural features of a language. We decided to analyze online job advertisements, as they reflect common language use and can easily be compared across languages. Moreover, formulations in job advertisements have been shown to impact personnel selection via the way target groups are addressed and referred to. In the present study we examined to what extent job advertisements are formulated in a gender-fair way and how this correlates with factors such as language, culture as well as status and gender-typicality of the job advertised. The data consisted of job advertisements published online in four European countries which occupy different positions in socio-economic rankings of gender equality (World Economic Forum, 2011): Switzerland (10), Austria (rank 34), Poland (42), and Czech Republic (75). We randomly selected 100 job advertisements from four lines of business characterized by different proportions of female employees – steels/metals, science, restaurants/food services, and health care. The advertisements were analyzed with regard to the linguistic form of the job title and the remaining text; we also noted indicators of job status, reference to gender-typical traits, pictures of women/men and other information which might be relevant to the use of gender-fair language (e.g., equal opportunity policies). A first analysis of the data indicates that the phrasing of job titles is closely related to the gender-typicality of a profession. While mainly gender-fair forms are used in healthcare, masculine forms are used more often in the domain of steels and metals. Feminine forms only, however, are almost never used. Cultural differences as well as correlations with associated variables will be discussed.

Side effects of gender-fair language: How feminine job titles influence the evaluation of female applicants

In many languages, feminization has been used as a strategy to make language more gender-fair, because masculine terms, even in a generic function, exhibit a male bias. Up to date, little is known about possible side effects of this language use, for example, in personnel selection. In three studies, conducted in Polish, we analyzed how a female applicant was evaluated in a recruitment process, depending on whether she was introduced with a feminine or masculine job title. To avoid influences from existing occupations and terms, we used fictitious job titles in Studies 1 and 2: diarolożka (feminine) and diarolog (masculine). In Study 3, we referred to existing occupations that varied in gender stereotypicality. In all studies, female applicants with a feminine job title were evaluated less favorably than both a male applicant (Study 1) and a female applicant with a masculine job title (Studies 1, 2, and 3). This effect was independent of the gender stereotypicality of the occupation (Study 3). Participants' political attitudes, however, moderated the effect: Conservatives devaluated female applicants with a feminine title more than liberals (Studies 2 and 3).

The macro level effects of gender - (un)fair language in Polish

A recent analysis of more than 100 countries found that the extent to which their languages grammatically allowed for an asymmetric treatment of men and women correlated with socio-economic indices of gender inequality (Prewitt-Freilino, Caswell, & Laakso, 2012). In a set of four studies we examine whether the availability of feminine forms as indicated by the most recent dictionaries (1) predicts the actual percentage of women and gender wage gap for all professions registered in Poland; (2) predicts the longitudinal pattern of use of the occupational job-titles; (3) relates to social perception of the sample of 150 professions.

Gender-fair language in the context of leadership: Preventing the lack of fit for women

Women are still underrepresented in leadership due to a perceived a ‘lack of fit’. Thus, women are hired less likely, evaluated unfavorably or are less willing to take over a leadership role than their male counterparts. Because gender-fair language (e.g., feminine-masculine word pairs, German: ‘Geschäftsführerin/Geschäftsführer’, CEO, fem./CEO, masc.) leads to a higher mental inclusion of women compared to generic masculine forms (German: ‘Geschäftsführer’, CEO,masc.), we argue that masculine forms endorse the ‘lack of fit’ for women in leadership, whereas gender-fair language reduces it. Three studies support our assumption. Masculine forms led to a ‘lack of fit’ for women in leader selection: they were hired less likely (Study 1) and evaluated less favorably (Study 2) than their male counterparts. Moreover, women showed less willingness to apply when masculine forms were used in the advertisement for a leadership position. Contrary, no such gender-bias was obtained in case of gender-fair language.

Strategies to increase the use and approval of gender-fair language

When masculine forms are used to refer to men and women, this causes male-biased cognitive representations and behavioral consequences, as numerous studies have shown. This effect can be avoided or reduced with the help of gender-fair language. In this talk, we will present different approaches that aim at influencing people’s use of and attitudes towards gender-fair language. Firstly, we tested the influence of gender-fair input on people’s own use of gender-fair language. Based on Irmen and Linner’s (2005) adaptation of the scenario mapping and focus approach (Sanford & Garrod, 1998), we found that after reading a text with gender-fair forms women produced more gender-fair forms than women who read gender-neutral texts or texts containing masculine generics. Men were not affected. Secondly, we examined reactions to arguments which followed the Elaboration Likelihood Model (Petty &Cacioppo, 1986). We assumed that strong pros and cons would be more effective than weak arguments or control statements. The results indicated that strong pros could convince some, but not all participants, suggesting a complex interplay of diverse factors in reaction to attempts at persuasion. The influence of people’s initial characteristics will be discussed. Currently, we are investigating how self-generated refutations, in addition to arguments, may influence initial attitudes. Based on the resistance appraisal hypothesis (Tormala, 2008), we assume that individuals are encouraged in their initial attitude if they manage to refute strong counter-arguments. The results of our studies will be discussed regarding their practical implications.

Gender-fair Language Changes the Social Perception of Professional Groups: The Case of German and Italian.

Gender-fair language, including women and men, such as word pairs has a substantial impact on the mental representation, as a large body of studies have shown. When using exclusively the masculine form as a generic, women are mentally significantly less represented than men. Word pairs, however, lead to a higher cognitive inclusion of women. Surprisingly little research has been conducted to understand how the perception of professional groups is affected by gender-fair language. Providing evidence from an Italian-Austrian cross-cultural study with over 400 participants, we argue that gender-fair language impacts the perception of professional groups, in terms of perceived gender-typicality, number of women and men assumed for a profession, social status and average income. Results hint at a pervasive pay-off: on the one hand, gender-fair language seems to boost the mental representations in favor of women and professions are perceived as being rather gender-neutral. On the other hand professional groups are assigned lower salary and social status with word pairs. Implications of results are discussed.

What do we mean by Female and Male in Neurocognitive Experiments on Language?

For several years now, neuroscientific research has been striving towards fundamental answers to questions about the relevance of sex/gender to language processing in the brain. This research has been effected through the search for sex/gender differences in the neurobiology of language processing. Thus, the main aim has ever been to focus on the differentiation of the sexes/genders, failing to define what sex, what gender, what female or male is in neurolingustic research. In other words, although neuroscientific findings have provided key insights into the brain functioning of women and men, neuropsychology has rarely questioned the complexity of the sex/gender variable beyond biology. What does “female” or “male” mean in human neurocognition; how are operationalisations implemented along the axes of “femaleness” or “maleness”; or what biological evidence is used to register the variables sex and/or gender? In the neurosciences as well as in neurocognitive research, questions such as these have so far not been studied in detail, even if they are highly significant for the scientific process. Instead, the variable of sex/gender has always been thought as solely dichotomous (as either female or male), oppositional and exclusionary of each other. Here, this theoretical contribution sets in. Based on findings in neuroscience and concepts in gender theory, this poster is dedicated to the reflection about what sex/gender is in the neuroscience of language processing. Following this aim, two levels of interest will be addressed. First: How do we define sex/gender at the level of participants? And second: How do we define sex/gender at the level of the experimental task? For the first, a multifactorial registration (work in progress) of the variable sex/gender will be presented, i.e. a tool that records sex/gender in terms of biology and social issues as well as on a spectrum between femaleness and maleness. For the second, the compulsory dichotomy of a gendered task when neurolinguistically approaching our cognitions of sex/gender will be explored.

Jazz drummers recruit language-specific areas for the processing of rhythmic structure

Rhythm is a central characteristic of music and speech, the most important domains of human communication using acoustic signals. Here, we investigated how rhythmical patterns in music are processed in the human brain, and, in addition, evaluated the impact of musical training on rhythm processing. Using fMRI, we found that deviations from a rule-based regular rhythmic structure activated the left planum temporale together with Broca's area and its right-hemispheric homolog across subjects, that is, a network also crucially involved in the processing of harmonic structure in music and the syntactic analysis of language. Comparing the BOLD responses to rhythmic variations between professional jazz drummers and musical laypersons, we found that only highly trained rhythmic experts show additional activity in left-hemispheric supramarginal gyrus, a higher-order region involved in processing of linguistic syntax. This suggests an additional functional recruitment of brain areas usually dedicated to complex linguistic syntax processing for the analysis of rhythmical patterns only in professional jazz drummers, who are especially trained to use rhythmical cues for communication.