Miracle-dz/UniFAR-FTUs huggingface dataset:
Beyond the 22%: Gender Inequity in Regional Theatres’ Show Selections

ABSTRACT Although many U.S. regional theatres claim that gender parity factors prominently into their seasons’ show selections, women playwrights continually struggle to have their work produced. In this study, we explore the dissonance between theatre professionals’ stated intentions and actions with regard to gender parity in play selection. Interviews with theatre professionals reveal that the prioritization of organizational needs over gender inclusion perpetuates a silencing of women’s voices in American regional theatre. The inclusivity of theatres and other types of arts organizations may improve with a reanalysis of organizational structures and communication, as well as a refocusing on the organizations’ immediate communities.
Effects of explicit and implicit friendship attitudes on appraisals and cardiovascular reactivity during a negative event discussion

Decades of research provides evidence that social relationships are powerful predictors of health and mortality. One important moderator of the link between relationships and health is relationship quality, with supportive relationships often attenuating, and ambivalent relationships amplifying, reactivity that can cause wear-andtear on the cardiovascular system. While much work has examined self-report (explicit) attitudes regarding relationship quality and links to cardiovascular reactivity (CVR), no study to our knowledge has examined whether implicit attitudes have similar or different effects. The current study examined whether implicit friendship attitudes influenced cognitive appraisals and cardiovascular reactivity during a negative event discussion. Based on prior work, we predicted interacting with friends rated as either explicitly or implicitly supportive would reduce CVR, as well as increase perceptions of control, and decrease perceptions of threat and stress associated with the speaking task. However, when interacting with a friend rated as either explicitly or implicitly ambivalent, we predicted a pattern similar to what we have traditionally seen with explicitly-rated ambivalent ties to emerge, such that participants would experience increased CVR, lower perceptions of control, and higher perceptions of threat and stress associated with the speaking task. Results did not support these hypotheses and unexpectedly, demonstrated some effects opposite to what was anticipated based on prior work. We consider several study limitations that shed light on these unexpected results, as well as discuss cognitive
Attentional and Semantic Anticipations in Recurrent Neural Networks

Why are attentional processes important in the driving of anticipations? Anticipatory processes are fundamental cognitive abilities of living systems, in order to rapidly and accurately perceive new events in the environment, and to trigger adapted behaviors to the newly perceived events. To process anticipations adapted to sequences of various events in complex environments, the cognitive system must be able to run specific anticipations on the basis of selected relevant events. Then more attention must be given to events potentially relevant for the living system, compared to less important events. What are useful attentional factors in anticipatory processes? The relevance of events in the environment depend on the effects they can have on the survival of the living system. The cognitive system must then be able to detect relevant events to drive anticipations and to trigger adapted behaviors. The attention given to an event depends on i) its external physical relevance in the environment, such as time duration and visual quality, and ii) on its internal semantic relevance in memory, such as knowledge about the event (semantic field in memory) and anticipatory power (associative strength to anticipated associates). How can we model interactions between attentional and semantic anticipations? Specific types of distributed recurrent neural networks are able to code temporal sequences of events as associated attractors in memory. Particular learning protocol and spike rate transmission through synaptic associations allow the model presented to vary attentionally the amount of activation of anticipations (by activation or inhibition processes) as a function of the external and internal relevance of the perceived events. This type of model offers a unique opportunity to account for both anticipations and attention in unified terms of neural dynamics in a recurrent network.
Design and analysis of a newly brushless DC wind generator

This paper aims to the disadvantage of high adjustment rate and many ripples for PM synchronous generator in wind power generation system, presents a newly brushless dc wind generator, whose rotor adopts tangential structure and Ferrite material in permanent magnet to increase flux, and the stator is composed of Single-wave winding structure connected polyphase full wave non-controlled rectification bridge. The paper emphasizes on discussing the internal structure design and magnetic field analysis of the generator. A experiment is completed to compare the prototype with PM synchronous generator. the experimental results have confirmed the effectiveness and feasibility of the design.
Not just a blip in someone's life: integrating brokering practices into out-of-school programming as a means of supporting and expanding youth futures

Purpose This article makes a case for the importance of brokering future learning opportunities to youth as a programmatic goal for informal learning organizations. Such brokering entails engaging in practices that connect youth to events, programs, internships, individuals and institutions related to their interests to support them beyond the window of a specific program or event. Brokering is especially critical for youth who are new to an area of interest: it helps them develop both a baseline understanding of the information landscape and a social network that will respond to their needs as they pursue various goals. The paper aims to describe three critical levers for brokering well in informal settings: creating learning environments that allow trust to form between youth and educators and enable educators to develop an understanding of a young person’s interests, needs and goals; attending to a young person’s tendency (or not) to reach out to educators after a program is over to solicit assistance; and enabling potential brokers to efficiently locate appropriate future learning opportunities for each young person who approaches them. The authors also include a set of program practices for providers who wish to increase their brokering impact, as well as recommendations geared primarily toward organization leaders. The authors hope that this paper brings clarity and enhanced significance to the practice of brokering as a strategy to support youth pathways toward meaningful futures. Design/methodology/approach Insights presented here are the result of a participatory knowledge building and sharing process with a community of after-school providers known as the Mozilla Hive NYC Learning Network. The topic of discussion was how these providers might continue to support young people in their intensive project-based programs after the program was over. The authors of this article, acting as embedded research partners to Hive NYC, contributed insights to these discussions based on ethnographic fieldwork and case studies of high-school-age youth in the Hive NYC context. Findings The authors articulate a set of brokering practices and a conceptual model that communicates how brokering might lead to valued long-term outcomes for youth, including increased social capital. Originality/value The intent is that information and perspectives from this article will inform youth-serving practice and serve as a catalyst for further conversations and activities geared toward promoting youth pathways of learning and identity development.
Between Childhood Maltreatment and Shame

One of the most devastating long-term outcomes of childhood maltreatment is a sense of shame, which is connected to distress and reduced well-being. The aim of the current study was to examine a dual-path model and to test the relations between childhood maltreatment, shame, and well-being as mediated by both self-objectification and a sense of disrupted body boundaries among 531 female college/university students living in Israel. Results from the structural equation modeling analyses indicated that both self-objectification and disrupted body boundaries significantly mediated the association between childhood maltreatment and sense of shame. In addition, both were associated with reduced levels of well-being, through the mediating role of shame. Finally, we discuss the role these paths may play in the detrimental long-term effects of childhood maltreatment and how they may be targeted in clinical interventions for adult survivors.
A Robot that Learns to Communicate with Human Caregivers

We are developing an infant-like humanoid robot, Infanoid , to investigate the underlying mechanisms of social intelligence that will allow it to communicate with human beings and participate in human social activities. We propose an epigenetic model of social intelligence — how the robot acquires communicative behavior through interaction with its social environment, especially with human caregivers. The model has three stages: (1) the acquisition of intentionality, which enables the robot to intentionally use certain methods for obtaining goals, (2) identification with others, which enables it to indirectly experience other people’s behavior, and (3) social communication, in which the robot empathetically understands other people’s behavior by ascribing to the intention that best explains the behavior.
Stochastic analysis of mobile agent-based e-shopping

In this paper, we consider the problem of mobile agent-based e-shopping. We analyse the probability of success (the probability that an agent can find the destination shop) and the population growth of mobile agents. We found that though a single mobile agent may act randomly, the behaviour of all mobile agents as a whole has some stochastic properties. Our mathematical analysis provides a way to estimate user satisfaction and network performance. Since there is a trade-off between these two factors, managers can achieve maximum benefits by tuning the relevant parameters in our analysis according to the users' requirements and the characteristics of the network.
Constructing fuzzy rule-based systems with the R package “ frbs ”

Fuzzy sets as proposed by Zadeh (1965) are a generalization of classical set theory, in which objects, instead of just being members of a set or not, have a gradual degree of membership. Fuzzy rule-based systems (FRBS) have been used in the past successfully in many applications. They are competitive methods for classification and regression, especially for complex problems. One of their leading properties is that they are usually easy to interpret.
Conference on Electronics , Telecommunications and Computers – CETC 2013 Embedded system for individual recognition based on ECG Biometrics

Biometric recognition is emerging has an alternative solution for applications where the privacy of the information is crucial. This paper presents an embedded biometric recognition system based on the Electrocardiographic signals (ECG) for individual identification and authentication. The proposed system implements a real-time state-of-the-art recognition algorithm, which extracts information from the frequency domain. The system is based on a ARM Cortex 4. Preliminary results show that embedded platforms are a promising path for the implementation of ECG-based applications in real-world scenario. c © 2014 The Authors. Published by Elsevier Ltd. Selection and peer-review under responsibility of ISEL – Instituto Superior de Engenharia de Lisboa.
A review on concept evolution technique on data stream

In Recent years data stream classification has been an extensively studied research problem. Data streams are continuous and rapid flow of data. Data streams include Call center records, network traffic data , sensor data and so many other data. Main problem of data streams is its infinite length, concept drift temporal behavior, concept evolution and feature evolutions. It is impractical to store the historical data for training, Because the data streams which consists the historical data are infinite in length. There is a lot of work done on the existing challenges such as concept drift and infinite length, But less concentrated towards Concept evolution. when the new classes or novel classes are invoking in data streams, this scenario is called concept evolution. As we know the existing challenges are concept drift and infinite length, we address concept evolution detection in this paper. In this paper, enhance approach is used for detection of unseen classes in data stream using adaptive outlier detection, discrete Gini coefficient and multiple unseen classes detection.
A GENETICALLY INFORMED STUDY OF THE INTERACTION BETWEEN PRENATAL ALCOHOL EXPOSURE AND PARENTAL DEPRESSION IN RISK FOR CHILDREN’S EMERGING EXTERNALIZING PROBLEMS

Prenatal Alcohol Exposure (PAE) has been associated with children’s externalizing problems (e.g., D’Onofrio et al.,2007); however, it remains unclear whether low/moderate PAE has a meaningful effect on children’s outcomes. Perhaps low/moderate PAE increases children’s vulnerability to externalizing but only in the context of postnatal adversity, such as parental depression. An adoption study is advantageous for addressing questions about the independent influence of PAE, as genetic and postnatal contextual risk can be disentangled from one another and their interactive associations may be assessed. Primary aims of the current study were to examine independent and interactive associations between PAE and postnatal exposure to parental depressive symptoms in relation to child externalizing problems at early school-age, after accounting for inherited risk. The role of inhibitory control (IC) as a possible mediator of the relationship between PAE and externalizing was also examined. Study data came from the Early Growth and Development Study, a multi-site prospective longitudinal adoption study. Reported alcohol consumption was lower than expected. There was no evidence for an association between PAE and children’s externalizing, independently or in interaction with adoptive parent depression. There was also no effect of PAE on children’s IC. Adoptive mother and father depressive symptoms were independently associated with children’s externalizing. IC at 27 months was negatively related to child externalizing. Findings did not support the hypothesis that low/moderate PAE would be associated with children’s externalizing, regardless of the presence of postnatal contextual adversity. Study findings are novel because of the adoption design, in which the parents providing the postnatal environment were genetically unrelated to the child and did not provide the prenatal environment. However, adoptive families were relatively low-risk, thus findings may not generalize to families facing higher levels of postnatal contextual adversity.
Towards consistency-preserving model evolution

Model-based software development poses requirements on the quality of models which cannot yet be fulfilled by models in the standard object-oriented modeling language, the UML. In particular, the semantic consistency of UML models is an open issue. Model-based evolution, as one crucial aspect of model-based development, requires support for re-establishing the consistency of a new version of the model after an evolution step.In this position paper, we observe that, under certain assumptions, the new model can be shown to be consistent if a certain semantic relation holds between the replaced sub-models. Thereby, one can avoid a complete re-iteration of all consistency checks for the new model, concentrating instead on those parts that have been modified.
From interspace to interface: metaphoric nature of spaces in transition

Summary . more and more of our work, if we want to work towards sustaining cities, will be bound up with organizing hope, negotiating fears and mediating memories. Sandercock’s conviction leads urban designers, artists and planners into a position which invites them to engage beyond the physical and to deal with - or rather start from – mental and social dimensions of space and its uses. This paper considers a phenomenon of heterotopia in contemporary public spaces and sketches a methodology which enables designers to take into consideration human dimensions of hopes, fears, desires and memories. Transforming space throughout history, people assign new meanings to the artifacts by metaphorical transfer. Spaces in transition with undefined physical articulation and spontaneous use often enabled heterotopias, which influence feelings and change minds, attitudes and, finally, urban practices. These are communicated by spatially embodied images and imagined spaces. The paper introduces an idea of the research, inspired by findings of semiotics (F. de Saussure, R. Barthes, J. Lotman, B. Uspensky, U. Eco), symbolic anthropology (C. Geertz) and cognitive linguistics (G. Lakoff). Such research has to investigate, on the basis of selected case studies, the correlation between the metaphorical nature of an “embodied mind” [12] and spatially incarnated metaphor, to apply semiotic (semantic + syntactic + pragmatic) approach to urban planning, to elaborate appropriate research methodology and graphical tools (“semiotic mapping”). Using metaphor as a key for reconstructing human logic of built space, “city makers” together with politicians and artists as well as a diverse participation of the ordinary people, would be able to design identity (social and individual), feelings of Home, belonging and solidarity.
Integrating Walking and Vision to Increase Humanoid Robot Autonomy

This video demonstrates our current investigation in developing autonomous behaviors for humanoid robots. Our main goal is to develop functionalities as much generic as possible in order to realize useful behaviors. More particularly this video demonstrates our current status on extending a popular zero momentum problem (ZMP) preview control based pattern generator, and building some links between walking with vision.
Recomputing Coverage Information to Assist Regression Testing

This paper presents a technique that leverages an existing regression test selection algorithm to compute accurate, updated coverage data on a version of the software, Pi+1, without rerunning any test cases that do not execute the changes from the previous version of the software, Pi to Pi+1. The technique also reduces the cost of running those test cases that are selected by the regression test selection algorithm by performing a selective instrumentation that reduces the number of probes required to monitor the coverage data. Users of our technique can avoid the expense of rerunning the entire test suite on Pi+1 or the inaccuracy produced by previous approaches that estimate coverage data for Pi+1 or that reuse outdated coverage data from Pi. This paper also presents a tool, RECOVER, that implements our technique, along with a set of empirical studies on a set of subjects that includes several industrial programs, versions, and test cases. The studies show the inaccuracies that can exist when an application-regression test selection-uses estimated or outdated coverage data. The studies also show that the overhead incurred by selective instrumentation used in our technique is negligible and overall our technique provides savings over earlier techniques.
USE OF MARKER-LESS MOTION CAPTURE APPROACH FOR CONSTRUCTION FIELD WORKERS ’ BIOMECHANICAL ANALYSIS

We propose computer vision-based biomechanical analysis for construction field workers. Taking into account the fact that the number of fatalities in construction is the highest among all industries [1], and that the unsafe acts and behavior of workers cause 80% to 90% of accidents in construction [3,5,7], the systematic understanding of field construction workers’ unsafe behavior has great potential to contribute to the reduction of injuries and fatalities in construction. Though techniques do exist to study unsafe acts (e.g., surveys, focus groups, video analysis, and laboratory experiments), these techniques may not be suitable for measuring the physical demands exerted on workers under real conditions (i.e., biomechanical analysis). To address this issue, we aim to develop a computer visionbased marker-less biomechanical analysis system, which will extract workers’ skeletons (without any marker attached to the workers) captured from ordinary network surveillance video cameras; the skeletons will be used for biomechanical analysis with estimated force information. The paper first compares the accuracy of the proposed marker-less motion tracking system with that of a commercial system with ladder climbing in the lab. Second, it demonstrates how postures determined using marker-less motion tracking can be used to evaluate biomechanical loads for a quasi-static case.
Survey on Internet Spam : Classification and Analysis

In recent years spam detection and dealing with spam in information retrieval systems is a difficult task. This article surveys the classification of various spam in the internet based on their properties. The impact of various spams in social networks, email, image, content and links is discussed and the technique applied to prevent the spam in various areas is listed. A detailed analyzes of cloaking and redirection in web search is also given in this paper. Finally this article listed the things to be considered to construct the spam algorithms.
HI content and other structural properties of galaxies in the Virgo cluster from the Arecibo Legacy Fast ALFA Survey

We report the results of an HI blind survey of 80deg^2 of the Virgo cluster, based on the 08deg 10^7.5-8 M_sun; vi) less than 1% of early-type galaxies contain neutral hydrogen with M_HI>10^7.5-8 M_sun (di Serego Alighieri et al. 2007).
Self-Organized Settlements

In the present study we address the question of how persons or families occupy specific locations according to an attractiveness function between persons and flats. We suggest a mathematically formulated model in order to find optimal distributions of persons over flats. The model maximizes the global attractiveness of the ensemble and accounts for various conflicting situations. Its solutions show that, depending on initial conditions, both optimal as well as suboptimal configurations can be reached. An interpretation of the approach in terms of mental maps is offered.
Subchannel interference cancellation for GERAN/VAMOS systems

This paper is to study the subchannel interference cancellation for GERAN/VAMOS systems. Joint channel estimation and mono interference cancellation (MIC) are used to mitigate the intra-cell interference especially when the two VAMOS subchannels use the different transmit power. Simulation results show that the proposed joint channel estimation and MIC algorithms can reduce the intra-cell interference and improve the voice traffic channel condition of VAMOS systems.