Miracle-dz/UniFAR-FTUs huggingface dataset:
Chunking of repeated events in memory

Trois experiences portant sur l'apprentissage de paires associees (tâches de rappel) visent a expliquer l'effet de repetition selon l'hypothese du «shunking» de Belleza (rappel optimum produit par reelaboration d'un meme codage mnesique), en s'appuyant sur l'interaction entre l'effet des espacements entre repetition et l'effet de contexte
Emergence and realization of genius: The lives and works of 120 classical composers.

Building on a model of individual differences in career development, new predictions are proposed regarding the preparatory phase of a creative life. After data on an elite sample of 120 classical composers from the Renaissance to the 20th century were collected, productivity variables were defined in terms of both themes and works, and the "hits" in each category were identified according to actual popularity. The theory successfully provided a foundation for understanding the positive, negative, and null relationships among eminence, lifetime output, maximum annual output, and the ages of first lessons, first composition, first hit, best hit, last hit, maximum annual output, and death. On the basis of the results, further questions are raised regarding the early childhood roots of adulthood creativity.
Cross-situational generality and the interpersonal circumplex.

Four traits of the interpersonal circumplex, dominance, submissiveness, agreeableness, and quarrelsomeness, were measured using experience sampling. Participants monitored their behavior for 20 days. For each social interaction, they recorded behaviors and information about the situation. Two sets of situations, agentic and communal, were defined on the basis of information about the relationship' of the other person with the participant. Results suggested general guidelines for expectations about magnitudes of cross-situational generality. For these broad traits of the interpersonal circumplex, there was modest to low generality across agentic situations in which individuals varied in power and status (supervisor and co-worker)
The Mneme Persistent Object Store

THE MNEME PROJECT IS AN INVESTIGATION OF TECHNIQUES FOR INTEGRATING PROGRAMMING LANGUAGE AND DATABASE FEATURES TO PROVIDE BETTER SUPPORT FOR COOPERATIVE, INFORMATION-INTENSIVE TASKS SUCH AS COMPUTER AIDED SOFTWARE ENGINEERING. WE REPORT HERE ON THE MNEME PERSISTENT OBJECT STORE, DISCUSSING THE ORIGINAL DESIGN, THE CONSTRUCTION OF THE INITIAL PROTOTYPE, AND APPROACHES BEING CONSIDERED FOR THE NEXT PROTOTYPE. MNEME STORES `OBJECTS'', WITH A SIMPLE AND GENERAL FORMAT, AND PRESERVES THE IDENTITY OF OF THE OJBECTS AND THEIR STRUCTURAL RELATIONSHIPS. MNEME''S GOALS INCLUDE PORTABILITY, EXTENSIBILITY (ESPECIALLY WITH RESPECT TO OBJECT MANAGEMENT POLICIES), AND LOW OVERHEAD. THE MODEL OF MEMORY THAT MNEME AIMS TO PRESENT IS A SINGLE, COOPERATIVELY SHARED HEAP, DISTRIBUTED ACROSS A COLLECTION OF NETWORKED COMPUTERS.
Ignorance-Exposing Vulnerable Involvement, the Trust Creating Practice that Makes Executives Job-Competent

Executives’ acquisition of job competence suffers from power tempting its use to conceal their ignorance and associated incompetence as dark secrets and to survive in jobs by abuses and subterfuges. Such competence requires sensitivity to the unique contours of circumstances which inter alia require local know-how and phronesis (Greek for practical wisdom) unknown even to insider executives, as with promotion they take charge of unfamiliar units/functions. Ignorance-exposing vulnerable involvement in deliberations is required to gain employees’ trust, to learn through know-how and phronesis sharing, and to become job-competent, but this requires jeopardizing one’s authority until becoming job-competent. A multi-case study of five automatic processing plants by a management educated and experienced semi-native anthropologist untangles that only few of their outsider executives, 4 of 27 studied, chose such involvement and became job-competent. As the import of outsider executives is now common, this problem is worsening and calls for solutions that are suggested, besides recommendations for further study
Social Interactions and Automated Detection Tools in Cyberbullying

Face-to-Face bullying is a traditional form of bullying in which bullies attack victims through physical, verbal, or social attacks. Cyberbullying is a new form of bullying. Cyberbullies abuse digital media to attack victims (such as attacks through websites, social networking services, blogging, e-mail, instant messaging, chat rooms, and cell phones). Cyberbullying and face-to-face bullying share many similarities. For example, bullies achieve power over a victim in both cyberbullying and face-to-face bullying. On the other hand, cyberbullying has differences from face-to-face bullying that arise from characteristics of digital media such as anonymity and rapid spreading of attacks. This chapter highlights key concerns of cyberbullying stemming from the use of digital media and discusses existing models of face-to-face bullying which may aid in model cyberbullying. This chapter then introduces state-of-the-art research in automated tools to detect cyberbullying. Finally, this chapter concludes with future perspective of research in automated tools to detect cyberbullying.
The structure of empathy.

Factor analysis of Hogan's Empathy Scale, scored in Likert format, yielded four factors: Social Self-Confidence, Even Temperedness, Sensitivity, and Nonconformity. Correlations with 16 different personality measures and a set of 12 adjective rating scales confirmed the factors' unique psychological meanings. Empathy subscales, created from items loading primarily on one factor, accounted for roughly equal amounts of variance in Hogan's original Q-set empathy criterion, although the Sensitivity and Nonconformity factors appeared to be slightly more important. Implications discussed include ways to improve the scoring of the Empathy Scale for future research and several broader measurement issues: the costs and benefits of using sophisticated statistics, the importance of manifest item content, and the importance of scale homogeneity.
Ineffective parenting and childhood conduct problems : The moderating role of callous-unemotional traits

A sample of 6- to 13-year-old clinic-referred (n = 136} and volunteer (n = 30) participants was investigated for a potential interaction between the quality of parenting that a child receives and callous-unemotional traits in the child for predicting conduct problems. Ineffective parenting was associated with conduct problems only in children without significant levels of callous (e.g., lack of empathy, manipulativeness) and unemotional (e.g., lack of guilt, emotional constrictedness) traits. In contrast, children high on these traits exhibited a significant number of conduct problems, regardless of the quality of parenting they experienced. Results are interpreted in the context of a model that proposes that callous-unemotional traits designate a group of children with conduct problems who have distinct causal factors involved in the development of their problematic behavior. Hare, Harpur, and their colleagues developed a two-factor model of psychopathy that has been shown to be useful for studying severe and chronic patterns of adult antisocial behavior (Hare, Hart, & Harpur, 1991; Harpur, Hare, & Hakstian, 1989). The model specifies two partially independent psychological dimensions: One dimension includes the interpersonal characteristics (such as superficial charm, callous use of others, absence of empathy) and emotional style (absence of guilt, shallow emotions, lack of anxiety) that have been hallmarks of the psychopathic personality (see Cleckley, 1976; McCord & McCord, 1964). The second dimension includes the unstable and antisocial lifestyle (such as multiple marriages, poor employment history, multiple arrests, aggression) that defines antisocial personality disorder (American Psychiatric Association, 1994). Several studies have shown that these two dimensions are separable through factor analysis and, more importantly, they have different correlates that could suggest divergent etiologies (Hare et al., 1990; Harpur, Hakstian, & Hare, 1988; Harpur et al., 1989). This two-factor model was tested in clinic-referr ed children and, consistent with the findings in adult samples, two separable psychological dimensions emerged in factor analyses (Prick, O'Brien, Wootton, & McBurnett, 1994). One dimension involved a callous-unemotional (CU) interpersonal style, and the second dimension involved poor impulse control and conduct problems. This second dimension was highly associated with traditional behavioral definitions of conduct problems such as definitions of oppositional defiant disorder and conduct disorder (CD) from the revised third edition of the Diagnostic and
Extracurricular activities: Beneficial extension of the traditional curriculum or subversion of academic goals?

Effects of total extracurricular activity participation (TEAP) during the last 2 years of high school were examined using the large, nationally representative High School and Beyond data. After controlling background variables and sophomore outcomes, TEAP had small but statistically significant and positive relations with 17 of 22 senior and postsecondary outcomes (e.g., social and academic self-concept, educational aspirations, coursework selection, homework, absenteeism, academic achievement, and subsequent college attendance). Whereas there were small nonlinear components, increases in TEAP across almost the whole range of TEAP scores were associated with increases in benefits for most of the outcomes
THE LOGIC OF CONNECTIVE ACTION

From the Arab Spring and los indignados in Spain, to Occupy Wall Street (and beyond), large-scale, sustained protests are using digital media in ways that go beyond sending and receiving messages. Some of these action formations contain relatively small roles for formal brick and mortar organizations. Others involve well-established advocacy organizations, in hybrid relations with other organizations, using technologies that enable personalized public engagement. Both stand in contrast to the more familiar organizationally managed and brokered action conventionally associated with social movement and issue advocacy. This article examines the organizational dynamics that emerge when communication becomes a prominent part of organizational structure. It argues that understanding such variations in large-scale action networks requires distinguishing between at least two logics that may be in play: The familiar logic of collective action associated with high levels of organizational resources and the formation of collective identities, and the less familiar logic of connective action based on personalized content sharing across media networks. In the former, introducing digital media do not change the core dynamics of the action. In the case of the latter, they do. Building on these distinctions, the article presents three ideal types of large-scale action networks that are becoming prominent in the contentious politics of the contemporary era.
A novel representation and compression method in layered depth video

Layered depth video (LDV) is a sparse representation of MVD, which is considered as a promising 3D video format for supporting 3D video services. This format consists of one full view and additional residual data that represents side views. However, the amount of residual data becomes larger when the distance between the central view and side views increases. To address this problem, a new inpainting-based residual data generation method is proposed in this paper. Then, the inpainting-induced artifacts is considered as new residual data and the residual data of two side views is merged into one buffer to further reduce the amount of data. On the other hand, the block wise alignment is used for higher coding efficiency. And in order to fit the shape or distribution of residual data, a new compression algorithm for coding residual data is proposed. The experiments show high compression efficiency of the proposed method. The proposed method allows reduction of required bitrate of at least 30% comparing to classical LDV method, while they have the similar quality of intermediate virtual view in the terminal’s display.
Using Aspects to Convert Single User Applications into Multiple User Applications

paper details the process of converting a single user application into a multiple user application through the use of Aspect Oriented Programming (AOP). While AOP hopes to enable developers to capture crosscutting concerns (e.g., features that affect different classes and modules of source code ) my goal is to treat multiple user functionality as a cross cutting concern that should be easily added to a single user application. This primary contribution of this paper is the detailing of the issues encountered in the exercise of trying to apply aspects to existing single user applications. Through a detailed analysis of the issues encountered there is the potential to refine the design of current and future Aspect Oriented Tools.
Perceived consequences of risky behaviors: Adults and adolescents.

Adult and adolescent Ss were asked to list possible consequences of either accepting or declining opportunities to engage in various potentially risky behaviors (e.g., drinking and driving, skipping school to go to a mall). Response patterns were quite similar for these adults and adolescents, indicating shared beliefs about the possibilities. Although taking and avoiding a risk are logically complementary actions, they did not prove to be psychologically complementary. Other comparisons showed systematic differences in the consequences produced for one-time and regular (or repeated) versions of the same behaviors, as well as for open-ended and closed-ended response modes. These results are discussed in terms of their methodological implications for studying risk perceptions, their practical implications for influencing adolescents' risk behaviors, and their theoretical implications for understanding intellectual development
Patterns of lexical processing in a nonnative language.

In three experiments, native Cantonese speakers were asked to read words aloud, name pictures, and translate words. In the study, subjects with different degrees of proficiency in their nonnative language were used (i.e., proficient subjects, adult beginners, and second- and fourth-grade child beginners). The results show that all subjects were more efficient in reading words than in naming pictures when responding in their native language. When the response was in the nonnative language, the proficient subjects were equally efficient in both translating and picture-naming tasks. For the adult beginners, however, translating was faster than picture naming, whereas naming was faster than translating for the child beginners. These results were consistent with the idea that proficient subjects could directly access the meanings of words in the nonnative language, whereas beginners tended to use either corresponding words in the native language (i.e., the adult beginners) or pictorial representations (i.e., the child beginners) as media for such end. These results thus suggest that the proficiency of the nonnative language and the age or method of acquisition of the language are important determinants for the pattern of lexical processing in the nonnative language.
A Review On Clustering Of Streaming Data

Data stream clustering is an active research area that has recently used to discover knowledge from continuously generated large amounts of data. There are various data stream clustering algorithms have been developed and proposed to perform clustering on data stream. Clustering is the task of arrangement a set of objects so that objects in the identical group are more related to each other than to those in other groups (clusters). The data stream clustering imposes several challenges that need to be addressed; some of them are dealing with dynamic data, capable of performing processing on fast incoming objects, also capable to perform incremental processing of data objects, and ability to address time, memory and cost limitations. I. INTRODUCTION Clustering or discovering meaningful partitions of data based on a measure of similarity is a critical step in scientific data analysis and a fundamental problem in computer science. Clustering is a widely studied research problem in the data mining. It is the assignment of combination a set of objects such that objects in one group are more related to each other whereas unrelated objects are in other groups. Cluster is an ordered list of data having similarity and dissimilarity. Cluster analysis can be done by finding similarities between data and grouping similar data objects into clusters and dissimilar data objects into reservoir or other clusters. However, it is very difficult to adapt clustering algorithms having arbitrary shape to data streams because of data set has one pass constraints. A common approach within the machine learning community involves unsupervised learning of parameters that describe clusters and partitioning the data by associating every point or region with one or more clusters. In many situations, data is better and more easily characterized by a measure of pair wise similarities rather than defaulting to negative squared Euclidean distance, and in this case, clusters can instead be represented by an exemplar data point rather than domain-specific parameters.
Le rôle de la communication familiale et de l'estime de soi dans la délinquance adolescente

Cette etude examine les relations entre la communication de l’adolescent avec ses parents (communication ouverte ou problematique), l’estime de soi concue d’un point de vue multidimensionnel (estime de soi familiale, scolaire, sociale et physique) et les conduites delinquantes. On utilise deux echantillons independants : le premier est constitue par 414 filles et garcons de 12 a 17 ans et le second par 625 filles et garcons de 11 a 20 ans. Pour l’analyse des donnees on utilise la technique statistique des equations structurelles. Les resultats montrent un effet indirect de la communication familiale sur la conduite delinquante par l’intermediaire d’une relation importante avec l’estime de soi de l’adolescent. En outre, on observe un effet protecteur de l’estime de soi familiale et scolaire et un effet de risque de l’estime de soi sociale et physique, en relation avec les conduites delinquantes. Ces resultats sont discutes en reference aux travaux precedents, et dans la perspective des recherches a venir et des interventions aupres d’adolescents.
Social Impact and Social Preference as Determinants of Children's Peer Group Status

Three sociometric procedures, which utilize a two-dimensional social-impact and social-preference framework, were evaluated on three independent samples of fourthand fifth-grade children (N = 334, 173, 89). The stability and distribution of classification, the relationship between dimensions, the validation of dimensions, and the validation of classificatio n groups were considered. Overall, the Peery (1979) method appeared most problematic, due to both conceptual and practical drawbacks. The Coie, Dodge, and Coppotelli (1982) procedure was found to have nonexhaustive groups and had the potential of misrepresenting children's social networks when standardized scores were used. Furthermore, little support was found for the proposed controversial group in the Coie et al. classification system. An alternative two-dimensional sociometric model based on probability theory was proposed and was found to have excellent performance characteristics while still providing a constant frame of reference across social networks. The social reputational correlates of the impact and preference dimensions and the sociometric groups proposed by each model were also investigated. Although social impact and social preference are found to be reliable and valid determinants of peer group status, the need for alternative indicators of children's social standing in the peer group is discussed. The current empirical interest in children's friendships and peer relations has resulted in the increased use of sociometric classification schemes to categorize children both for nomothetic research and for clinical interventions. The further development of sociometric procedures and their appropriate use are important concerns for developmental and clinical psychologists because of the association between children's peer relations and subse
Encaminhamento multicaminho para suporte de engenharia de tráfego

Using a multipath routing scheme, traffic between each pair of nodes can be routed across several paths, balancing link loads and maximizing bandwidth utilization. How to calculate the multipath routing that optimize network utilization is a traffic engineering task. Because the traffic demand experienced in ISP networks can be highly dynamic and unprectictable, non dynamic traffic engineering solutions can’t fullfill the requirements of those networks. Some dynamic solutions have been proposed in the literature, but because they need to maintain distributed network state and systemically reconfigure it, they introduce too much overhead in the networks. In this work, we propose a new solution that combine both dynamic and non dynamic solutions, minimizing the overhead introduced by the dynamic solutions while being capable of dynamically absorb to unexpected traffic variations. By performing routing optimizations at (potentially) enlarged time intervals, and as result of this, letting the traffic between optimizations being routed in a potentially non optimal way, we can minimize the overhead introduced in the network. However this solution is only interesting if, during those periods, the deterioration of routing quality isn’t significant. To determine the deterioration of the routing quality, we developed a fast and simple multipath routing algotithm that maximizes network utilization and we simulate our solution using topologies of real backbone networks. In our simulations, we also use distortion functions of traffic matrices to simulate typical traffic variations. Our results show that deterioration of the routing quality between optimizations isn’t significant.
Economy of Interaction in Program Visualization: Designing Effective Visualization Tools for Reducing User's Cognitive Effort - Doctoral Dissertation, August 2002

Program visualization has the potential to be an important tool for people who seek to observe and understand the behavior of a running computation. This thesis focuses on alleviating barriers to the realization of this potential that pertain to the design of a visualization system and to insufficient knowledge about how people take advantage of program visualizations. Our major contribution is the design of a visualization approach capable of improving user’s performance through the use of economy of information and tasks. We present evidence from our empirical studies that this type of economy promotes animations capable of significantly improving. Read complete abstract on page 2.
The Big Cats

Puma concolor (mountain lion) It isn’t often that we get to see a mountain lion up close. They are shy and quiet. When we do find ourselves in the company of one of these great predators we are generally charged with a mix of excitement and fear. The worst thing that can happen to large mammal predators is that they become habituated to humans, lose their wariness of us, associate our presence with the availability of food. “A habituated mountain lion is a dead mountain lion”. Never ever feed them or do anything to make them think humans are anything but dangerous.