Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing multiparty interaction support in Elva, an embodied tour guide

Although social research into group interaction has flourished since the 20th century, the technology of embodied conversational agents for handling multiparty interaction is still immature. In view of this, we aim at designing agent systems to support group interaction in virtual environments. We intensively researched group formation processes and leadership in terms of turn taking management and nonverbal behavior in facilitated casual social groups. Towards achieving agent autonomy and believability, we employ group interaction mechanisms in an integrated four-layer agent architecture. This approach takes into account group modeling. turn taking moderation and multimodal coordination mechanism to ensure appropriate coupling of the agent's perception and actions at the group level. We also present an application of an embodied tour guide, named Elva, in an interactive art gallery. The application demonstrates how an agent can act as a leader in coordinating and facilitating multiparty interaction in a facilitated casual social group, in particular, a tour group context.
A Sound and Complete Axiomatization of Majority-n Logic

Manipulating logic functions via majority operators recently drew the attention of researchers in computer science. For example, circuit optimization based on majority operators enables superior results as compared to traditional logic systems. Also, the Boolean satisfiability problem finds new solving approaches when described in terms of majority decisions. To support computer logic applications based on majority a sound and complete set of axioms is required. Most of the recent advances in majority logic deal only with ternary majority (MAJ- 3) operators because the axiomatization with solely MAJ-3 and complementation operators is well understood. However, it is of interest extending such axiomatization to n-ary majority operators (MAJ-n) from both the theoretical and practical perspective. In this work, we address this issue by introducing a sound and complete axiomatization of MAJ-n logic. Our axiomatization naturally includes existing majority logic systems. Based on this general set of axioms, computer applications can now fully exploit the expressive power of majority logic.
Avances en la Psicoterapia Analítica Funcional

El presente trabajo describe las variables que explican el proceso de cambio, los fundamentos y principios conductuales en los que se basa la Psicoterapia Analitica Funcional (FAP) y sus ultimos avances. Sus fundamentos son los objetivos de intervencion, es decir, las Conductas Clinicamente Relevantes (CCR) y tambien las cinco reglas terapeuticas propuestas. El analisis del proceso de cambio terapeutico propuesto permite comprender cuales son las variables para conceptualizar un caso clinico. FAP hace hincapie en la relacion cliente-terapeuta que da la oportunidad de moldear y reforzar las mejoras. Las lineas de investigacion sobre eficacia y efectividad son prometedoras. Se describen recientes estudios de efectividad con disenos de caso unico con medidas de la intervencion con resultados positivos. Su integracion con otras terapias de conducta de tercera generacion produce efectos sinergicos. Los avances expuestos de formas de evaluacion y metodos de intervencion dan oportunidades de innovar terapeuticamente y de evocar CCR necesarias para que se produzcan las mejoras.
Robust Speech Recognition by Model Adaptation and Normalization Using Pre-Observed Noise

Users require speech recognition systems that offer rapid response and high accuracy concurrently. Speech recognition accuracy is degraded by additive noise, imposed by ambient noise, and convolutional noise, created by space transfer characteristics, especially in distant talking situations. Against each type of noise, existing model adaptation techniques achieve robustness by using HMM-composition and CMN (cepstral mean normalization). Since they need an additive noise sample as well as a user speech sample to generate the models required, they can not achieve rapid response, though it may be possible to catch just the additive noise in a previous step. In the previous step, the technique proposed herein uses just the additive noise to generate an adapted and normalized model against both types of noise. When the user's speech sample is captured, only online-CMN need be performed to start the recognition processing, so the technique offers rapid response. In addition, to cover the unpredictable S/N values possible in real applications, the technique creates several S/N HMMs. Simulations using artificial speech data show that the proposed technique increased the character correct rate by 11.62% compared to CMN.
Low Lead Levels and Behavior Problems in Children

Children who survive lead poisoning are at risk for severe behavioral disorders resulting from damage to the central nervous system. Recent resarch has suggested that among children with lead levels below those associated with overt lead poisoning, behavioral disorders may also occur. The present study was undertaken to investigate possible relationships between lead levels and behavioral problems in children. Lead levels taken from hair samples in a group of children (N = 26) having behavioral problems as defined by teacher judgment were compared with lead levels taken from hair samples in a control group (N = 29) not having behavioral problems by teacher judgment. Subjects were drawn from the Upper Cumberland Region of Tennessee. There were no significant differences between the groups in socioeconomic status, sex, or ethnic group distributions. Mean age in the behavior problem group was 10.73 and in the controls, 8.68. Hair samples taken from the participants were analyzed for mineral content by induction-coupled plasma spectroscopy. Each child was also rated by his classroom teacher on the Walker Problem Behavior Identification Checklist (WPBIC). The group of behavior problem children had significantly higher hair lead levels (t = 3.37, 53, p < .001). Correlations were run between lead levels and WPBIC ratings for the 55 children. Lead levels correlated significantly and positively with the WPBIC scales measuring distractibility, aggression, disturbed peer relations, and immaturity. It was concluded that a continuing reexamination of lead poisoning levels is needed because lead levels previously thought harmless may be associated with neurobehavioral impairments.
The Emergence of Sexuality: Historical Epistemology and the Formation of Concepts

Preface 1. Closing up the Corpses 2. Sex and the Emergence of Sexuality 3. How to Do the History of Psychoanalysis: A Reading of Freud's Three Essays on the Theory of Sexuality 4. The Horror of Monsters 5. Styles of Reasoning: From the History of Art to the Epistemology of Science 6. The Epistemology of Distorted Evidence: Problems around Carlo Ginzburg's Historiography 7. Foucault and the Analysis of Concepts 8. On Epistemology and Archeology: From Canguilhem to Foucault Appendix: Foucault, Psychoanalysis, and Pleasure Notes Credits Index
Accelerating Dependency Graph Learning from Heterogeneous Categorical Event Streams via Knowledge Transfer

Dependency graph, as a heterogeneous graph representing the intrinsic relationships between different pairs of system entities, is essential to many data analysis applications, such as root cause diagnosis, intrusion detection, etc. Given a well-trained dependency graph from a source domain and an immature dependency graph from a target domain, how can we extract the entity and dependency knowledge from the source to enhance the target? One way is to directly apply a mature dependency graph learned from a source domain to the target domain. But due to the domain variety problem, directly using the source dependency graph often can not achieve good performance. Traditional transfer learning methods mainly focus on numerical data and are not applicable. In this paper, we propose ACRET, a knowledge transfer based model for accelerating dependency graph learning from heterogeneous categorical event streams. In particular, we first propose an entity estimation model to filter out irrelevant entities from the source domain based on entity embedding and manifold learning. Only the entities with statistically high correlations are transferred to the target domain. On the surviving entities, we propose a dependency construction model for constructing the unbiased dependency relationships by solving a two-constraint optimization problem. The experimental results on synthetic and real-world datasets demonstrate the effectiveness and efficiency of ACRET. We also apply ACRET to a real enterprise security system for intrusion detection. Our method is able to achieve superior detection performance at least 20 days lead lag time in advance with more than 70% accuracy.
Couple Dictionary Training for Image Super-resolution

In this paper, we propose a novel coupled dictionary training method for single image superresolution based on patch-wise sparse recovery, where the learned couple dictionaries relate the lowand high-resolution image patch spaces via sparse representation. The learning process enforces that the sparse representation of a low-resolution image patch in terms of the low-resolution dictionary can well reconstruct its underlying high-resolution image patch with the dictionary in the high-resolution image patch space. We model the learning problem as a bilevel optimization problem, where the optimization includes an -norm minimization problem in its constraints. Implicit differentiation is employed to calculate the desired gradient for stochastic gradient descent. We demonstrate that our coupled dictionary learning method can outperform the existing joint dictionary training method both quantitatively and qualitatively. Furthermore, for real applications, we speed up the algorithm approximately 10 times by learning a neural network model for fast sparse inference and selectively processing only those visually salient regions. Extensive experimental comparisons with state-of-the-art super-resolution algorithms validate the effectiveness of our proposed approach. Copyright (c) 2012 IEEE. Personal use of this material is permitted. However, permission to use this material for any other purposes must be obtained from the IEEE by sending request to pubs-permissions@ieee.org. Jianchao Yang, Zhaowen Wang, and Thomas Huang are with Beckman Institute, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Illinois, IL 61801, USA (e-mail: jyang29@ifp.illinois.edu; wang308@illinois.edu; huang@ifp.illinois.edu). Zhe Lin and Scott Cohen are with Adobe Systems Inc., San Jose, CA 95110, USA (e-mail: zlin@adobe.com; scohen@adobe.com) March 13, 2012 DRAFT IEEE TRANSACTIONS ON IMAGE PROCESSING 2
Candidate Genes of Cerebrovascular Disease and Sudden Sensorineural Hearing Loss

Auditory dysfunction is related to large/small vessel occlusions and hemorrhage. Sudden sensorineural hearing loss (SSNHL) frequently occurs with anterior inferior cerebellar artery occlusion proximal to the internal auditory artery. Moreover, SSNHL has various pathogenetic mechanisms, the main proposed mechanisms being vascular disease, membrane ruptures, infection, and autoimmunity. Tumor necrosis factor (TNF) is an important cytokine in the inflammation process of cerebrovascular diseases. In the current study, the possible effects of polymorphisms in TNF-α and TNF-β genes on SSNHL are evaluated. Two genetic polymorphisms in the TNF locus (TNF-α —308 G - ->A and TNF-β +252 A - ->G) were investigated as risk factors for SSNHL by determining their prevalence in 97 SSNHL patients and in 587 controls. A significant increase was found for the TNF-β allele 1 in SSNHL patients compared with the controls (χ 2 = 7.251, P = .007, odds ratio [OR] = 1.534, confidence interval [CI] = 1.12-2.10). These findings suggest that the TNF-β +252 locus plays an important role in the etiopathogenesis of SSNHL.
Morikuni Tobita Adipose-derived Stem Cells : Current Findings and Future Perspectives

Abstract: Adipose tissue is an abundant source of mesenchymal stem cells, which have shown promise in the field of regenerative medicine. Furthermore, these cells can be readily harvested in large numbers with low donor-site morbidity. During the past decade, numerous studies have provided preclinical data on the safety and efficacy of adipose-derived stem cells, supporting the use of these cells in future clinical applications. Various clinical trials have shown the regenerative capability of adipose-derived stem cells in subspecialties of medical fields such as plastic surgery, orthopedic surgery, oral and maxillofacial surgery, and cardiac surgery. In addition, a great deal of knowledge concerning the harvesting, characterization, and culture of adipose-derived stem cells has been reported. This review will summarize data from in vitro studies, pre-clinical animal models, and recent clinical trials concerning the use of adipose-derived stem cells in regenerative medicine.
Job Performance and Conscientiousness

The intention of the cram was to do research about the connection between of job performance and conscientiousness. In order to scrutinize the facts and figures primary data compilation method that is questionnaires was used. Much has been made of Conscientiousness as a predictor of job performance. This study empirically tested the predictions of the perspectives on the relationship between conscientiousness and job performance. The deduction of the mug up discovered that job performance and conscientiousness is certainly allied with each other and has effects as well. Overall, the outcome illustrates that decidedly conscientious personnel or recruits who lack interpersonal compassion may be futile, mainly in jobs requiring obliging swapping with others. As Conscientiousness is the personality trait that is distinct as being methodical, cautious, or attentive; it implies a craving to do a task, duty or assignment well. Conscientious people are regimented and well thought-out as contrasting to easy-going and unconcerned. They show a predisposition to show self-discipline, act devotedly, and aim for accomplishment.
Examining Potential Iatrogenic Effects of Group Treatment for Incarcerated Adolescents

Rates of substance use among juvenile offenders are disproportionately high and frequently associated with deviant and criminal behavior (Mulvey, Schubert, & Chassin, 2010). Despite the prevalence of group-based treatment for adolescent substance abuse (Young, Dembo, & Henderson, 2007), some authors caution that aggregation of high-risk youth may increase rather than decrease antisocial behavior, thus producing iatrogenic effects. The current study sought to identify the extent to which various group processes as rated by counselors, observers, and adolescents mediate the relationship between type of group treatment received while incarcerated and adolescents' substance use and conduct problems following their release. Of the group processes investigated, only deviancy training (i.e., peers reinforcing each others' antisocial acts during group sessions) was differentially impacted by treatment type as rated by counselors and observers. Treatment differences were not found when using adolescent ratings, suggesting that adolescents may be less able to meaningfully assess their own behaviors during group treatment. Using multiple mediation, simple mediation, and moderated mediation analyses, no evidence was found in support of the claim that deviancy training during group treatment is related to poorer outcomes, or iatrogenic effects. This finding remained consistent across the three different perspectives (i.e., observers, counselors, adolescents) of deviancy training for all substance use outcomes examined at 3and 6-months post-release. The indirect effect of treatment type was insignificant across all models examined. Findings indicate the effect of treatment on substance use outcomes post-release is not mediated by deviancy training, or any of the other group processes investigated.
Security software engineering in wireless sensor networks

Th ee ngineering of security is an essential discipline in software engineering. It requires one to embrace a holistic approach, as any weakness along the engineering process of the system may lead to future security breaches. It is in general difficult to achieve and becomes particularly acute in wireless sensor networks, owing to the stringent limitations in communication an dc omputational power. We survey the current state of the art on this topic and set forth issues that require further study. The analysis of current work covers general security issues of wireless sensor network research and discusse st he present achievements for engineering security with regards to earlier surveys in this domain. We also cover security capabilities of major implementation platforms, namely TinyOS and Sun SPOT TM ,a ndpresent available and required mechanisms that will become essential for software engineers.
Overlay Multicast Protocol for Delivering Layered Data Structure

This paper proposes an adaptive Overlay Multicast protocol for real-time group communication in a heterogeneous environment. Overlay multicast technology relies on end nodes by delegating the multicast functionality from routers in IP Multicast. Overlay multicast research has two major issues to consider: heterogeneous resource environment and instability of end nodes. In our protocol, data is divided into multiple layers using abstract layered data structure. The number of layers is used for the main metric to construct the multicast tree to satisfy the demand for end nodes resource environment. Furthermore, multi-path layer distribution method for fast recovery from multicast tree partition and congestion avoidance method are proposed to deal with the unstableness at end node.
Interactions between Multiple Recruitment Drivers: Post-Settlement Predation Mortality and Flow-Mediated Recruitment

Background Dispersal is a primary driver in shaping the future distribution of species in both terrestrial and marine systems. Physical transport by advection can regulate the distance travelled and rate of propagule supply to a habitat but post-settlement processes such as predation can decouple supply from recruitment. The effect of flow-mediated recruitment and predation on the recruitment success of an intertidal species, the eastern oyster Crassostrea virginica was evaluated in two-replicated field experiments. Two key crab species were manipulated to test predator identity effects on oyster mortality. Findings Recruitment was ∼58% higher in high flow compared to low flow, but predation masked those differences. Predation mortality was primarily attributed to the blue crab Callinectes sapidus, whilst the mud crab Panopeus herbstii had no effect on recruit mortality. Recruit mortality from predation was high when recruit densities were high, but when recruit density was low, predation effects were not seen. Under high recruitment (supply), predation determined maximum population size and in low flow environments, recruitment success is likely determined by a combination of recruitment and resource limitation but not predation. Conclusions Four processes are demonstrated: (1) Increases in flow rate positively affect recruitment success; (2) In high flow (recruitment) environments, resource availability is less important than predation; (3) predation is an important source of recruit mortality, but is dependent upon recruit density; and (4) recruitment and/or resource limitation is likely a major driver of population structure and functioning, modifying the interaction between predators and prey. Simultaneous testing of flow-mediated recruitment and predation was required to differentiate between the role of each process in determining population size. Our results reinforce the importance of propagule pressure, predation and post-settlement mortality as important determinants of population growth and persistence, but demonstrate that they should not be considered mutually exclusive.
On the application of independent modal-space control to internal variable based viscoelastic bar

A control strategy, based on the concept of independent modal-space control, is applied to suppress the vibration of a viscoelastic structure. The viscoelastic characteristic of the material is captured by the inclusion of internal variables, which have their foundation on thermodynamical principles. Although the internal variable based methodology is very effective in describing the damping of viscoelastic systems, one of its drawbacks is that it increases the number of degrees of freedom, leading to some difficulties in terms of computation efforts for high order systems. Proportional feedback control is analyzed and it is shown how the decoupling of the modes, provided by the independent modal-space control technique, results in a more effective control law. A linear quadratic regulator is used for the control of the first physical mode of the structure only, having a cost function to be minimized that can include restrictions on both the modal control force and modal coordinates. The modal quantities are found from the measured output by means of a modal Kalman filter. The approach is demonstrated on a one-dimensional viscoelastic bar. A finite element formulation of the problem is also carried out and described in the paper.
An intervention study to enhance girls' interest, self-concept, and achievement in physics classes

Many interest studies have shown the decline of students' interest in physics during secondary education, particularly among girls. Research into physics-related interests of students suggests applying different measures to reduce or reverse that trend such as: (a) suggesting curricular changes that do justice to the specific interests and experiences of girls, (b) improving the ability of teachers to support girls in the development of a positive physics related self-concept, and (c) changing to an organizational setting that gives girls a better chance to improve their self-concept about physics. The purpose of this study was to examine whether these hypothetically effective measures lead to an improvement of the situation for girls when implemented in the physics classroom. The intervention took a whole school year of some 60 one-hour lessons and comprised 12 experimental and 7 control classes of seventh graders (age about 13). Their immediate and long-term achievements, as well as their change of interest in physics, their subjectively experienced competence, and their physics-related self-concept were assessed by written tests at various stages of the intervention. The intervention proved successful and significantly improved most of these indicators for girls (and boys) in the experimental group. © 2002 Wiley Periodicals, Inc. J Res Sci Teach 39: 870–888, 2002