1,722,011 research outputs found
An Optimal Real-time Pricing Algorithm for the Smart Grid: A Bi-level Programming Approach
Full text linkThis paper proposes an improved approach to our previous work [meng2012stackelberg]. [meng2012stackelberg] uses Stackelberg game to model the interactions between electricity retailer and its customers and genetic algorithms are used to obtain the Stackelberg Equilibrium (SE). In this paper, we propose a bi-level programming model by considering benefits of the electricity retailer (utility company) and its customer. In the upper level model, the electricity retailer determines the real-time retail prices with the aim to maximize its profit. The customer reacts to the prices announced by the retailer aiming to minimize their electricity bills in the lower level model. In order to make it more tractable, we convert the hierarchical bi-level programming problem into one single level problem by replacing the lower lever's problem with his Karush–Kuhn–Tucker (KKT) conditions. A branch and bound algorithm is chosen to solve the resulting single level problem. Experimental results show that both the bi-level programming model and the solution method are feasible. Compared with the genetic algorithm approach proposed in work [meng2012stackelberg], the branch and bound algorithm in this paper is more efficient in finding the optimal solution
Affective Norms for German as a Second Language (ANGL2)
No full textSocial Science Development Research Project of Hebei ProvinceNational Social Science Fund of China http://dx.doi.org/10.13039/501100012456China Scholarship Council http://dx.doi.org/10.13039/501100004543Double First Class Project of Beijing Foreign Studies Universit
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Affective and Psycholinguistic Norms for 1200 Two‐character Chinese Words
No full textABSTRACT The interplay between emotion and language has drawn increasing attention from researchers in various fields, such as psycholinguistics, neurolinguistics, and artificial intelligence. The classification of emotional words is crucial to experimental studies, as it serves as a fundamental step for unveiling the complex relationship between emotion and language. Hence, the current study introduces affective and psycholinguistic norms for 1200 two‐character Chinese words. The affective variables, including emotional prototypicality (EmoPro), valence, and arousal, as well as psycholinguistic variables (abstractness and familiarity), were rated by native speakers of Chinese using a 7‐point Likert scale. This set of norms, as far as we know, is the first one that provides words’ EmoPro together with other affective and psycholinguistic variables rated by the same group of participants. The results of inter‐rater reliability and correlation tests showed that this set of norms had good reliability and validity. The correlation between EmoPro and arousal was significant and strong. Valence and arousal exhibited an asymmetric U‐shaped relationship, with negative words being rated higher in arousal than positive ones. We also identified a quadratic relationship between EmoPro and valence, indicating that more prototypical emotion‐label words tend to trigger more extreme valence ratings. EmoPro significantly and positively correlated with abstractness, indicating that prototypical emotion‐label words tend to be more abstract. In addition, familiarity and word frequency predict lexical decision performance, whereas EmoPro does not after controlling for other variables. The present set of Chinese norms supports material selection in experimental research, enables cross‐linguistic comparisons, and has potential applications in natural language processing.摘要 情绪与语言的相互作用日益受到心理语言学、神经语言学及人工智能等多个领域研究者的关注。作为揭示情绪与语言复杂关系的基础, 情绪词分类对实验研究具有重要意义。因此, 本研究建立了包含1200 个汉语双字词的情绪及心理语言学词库。汉语母语者采用7 级李克特量表对情绪变量 (情绪典型性、效价和唤醒度) 和心理语言学变量 (抽象性和熟悉度) 进行评定。据我们所知, 这是首个由同批被试同时评定词汇情绪典型性及其他情绪与心理语言学变量的词库。评分者间信度及相关性检验结果表明, 该词库具有良好的信度和效度。情绪典型性与唤醒度之间存在显著的强相关性;效价与唤醒度呈现非对称U 型关系, 消极词的唤醒度显著高于积极词。此外, 情绪典型性与效价呈现二次函数关系, 表明更具典型性的情绪标签词往往引发更极端的效价评分。情绪典型性与抽象性显著正相关, 表明典型性高的情绪标签词通常更抽象。在控制其他变量后, 熟悉度和词频能有效预测词汇判断反应时, 而情绪典型性预测作用不显著。本汉语词库可为实验研究中的材料筛选提供支持, 促进跨语言比较, 并在自然语言处理中具有潜在应用价值。ABSTRACT The interplay between emotion and language has drawn increasing attention from researchers in various fields, such as psycholinguistics, neurolinguistics, and artificial intelligence. The classification of emotional words is crucial to experimental studies, as it serves as a fundamental step for unveiling the complex relationship between emotion and language. Hence, the current study introduces affective and psycholinguistic norms for 1200 two‐character Chinese words. The affective variables, including emotional prototypicality (EmoPro), valence, and arousal, as well as psycholinguistic variables (abstractness and familiarity), were rated by native speakers of Chinese using a 7‐point Likert scale. This set of norms, as far as we know, is the first one that provides words’ EmoPro together with other affective and psycholinguistic variables rated by the same group of participants. The results of inter‐rater reliability and correlation tests showed that this set of norms had good reliability and validity. The correlation between EmoPro and arousal was significant and strong. Valence and arousal exhibited an asymmetric U‐shaped relationship, with negative words being rated higher in arousal than positive ones. We also identified a quadratic relationship between EmoPro and valence, indicating that more prototypical emotion‐label words tend to trigger more extreme valence ratings. EmoPro significantly and positively correlated with abstractness, indicating that prototypical emotion‐label words tend to be more abstract. In addition, familiarity and word frequency predict lexical decision performance, whereas EmoPro does not after controlling for other variables. The present set of Chinese norms supports material selection in experimental research, enables cross‐linguistic comparisons, and has potential applications in natural language processing.摘要 情绪与语言的相互作用日益受到心理语言学、神经语言学及人工智能等多个领域研究者的关注。作为揭示情绪与语言复杂关系的基础, 情绪词分类对实验研究具有重要意义。因此, 本研究建立了包含1200 个汉语双字词的情绪及心理语言学词库。汉语母语者采用7 级李克特量表对情绪变量 (情绪典型性、效价和唤醒度) 和心理语言学变量 (抽象性和熟悉度) 进行评定。据我们所知, 这是首个由同批被试同时评定词汇情绪典型性及其他情绪与心理语言学变量的词库。评分者间信度及相关性检验结果表明, 该词库具有良好的信度和效度。情绪典型性与唤醒度之间存在显著的强相关性;效价与唤醒度呈现非对称U 型关系, 消极词的唤醒度显著高于积极词。此外, 情绪典型性与效价呈现二次函数关系, 表明更具典型性的情绪标签词往往引发更极端的效价评分。情绪典型性与抽象性显著正相关, 表明典型性高的情绪标签词通常更抽象。在控制其他变量后, 熟悉度和词频能有效预测词汇判断反应时, 而情绪典型性预测作用不显著。本汉语词库可为实验研究中的材料筛选提供支持, 促进跨语言比较, 并在自然语言处理中具有潜在应用价值
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