Miracle-dz/UniFAR-FTUs huggingface dataset:
NATURAL TURN-TAKING NEEDS NO MANUAL : COMPUTATIONAL THEORY AND MODEL , FROM PERCEPTION TO ACTION

t-minus-460 msec Beth and Alan are sitting at a Fifth Avenue outdoors restaurant in Manhattan. Alan is telling Beth an exciting story about his vacation in Nice. Alan presents the story through gesture and speech. Then Beth’s arm starts moving and her neck stiffens. We, the viewers, know that she’s surprised to see an elephant in the middle of Manhattan, and that in 460 milliseconds her arm and hand motion will turn into a welldefined deictic gesture, her eyebrows will rise, and her mouth will open with surprise, at which point Alan will most certainly recognize the signs and look over at the elephant. But right now, at t-minus-460 milliseconds, Beth’s gesture is barely recognizable as a communicative action, so Alan doesn’t know for sure. And thus, before that all happens, in the next 460 milliseconds, Alan has to decide what to do about Beth’s behavior. Should he stop telling his story? Or should he go on, in case Beth is simply adjusting her jacket?
A new 3D paradigm for metal artifact reduction in dental CT

The presence of metal artifacts in dental CT prevents the correct exploration and planning of dental interventions. This paper addresses a new paradigm in metal artifact reduction that uses the backprojected data available in the DICOM files. The method, based on variational image registration and morphological lambda reconstruction, enhances the image quality using not only the information of the artifacted image (horizontal approach) but also the information of adjoining images (vertical approach). Some preliminary results involving different CT scanners and patients are presented and discussed.
Health translations: A crowdsourced, gamified approach to translate large vocabulary databases

The health domain is rich in specific vocabulary and information structures. Previous work on this area includes the collection of this information in information systems. However, the language of these can limit their use. To overcome this, we present Health Translations, a web application that uses crowd-sourcing to translate a large vocabulary set that, currently, is only available in English. To increase usage, gamification methods are applied that reward both the quantity of collaboration and the quality of it. When completed, these translations can be made available without costs to the research community. This paper presents the platform as a responsive web application.
Identifying european monetary policy interactions: french and Spanish system with german variables

This paper develops the "identified VAR" models of France and Spain with German monetary variables to identify monetary policy shocks during the period when the exchange rate is controlled mostly by the ERM. Different identifying assumptions on the contemporaneous policy interactions are experimented. The impulse responses to monetary policy shocks and estimated parameters of monetary reaction function suggest that the identification scheme implying unilateral contemporaneous reaction of non-German monetary policies seem reasonable identifying assumptions in these countries.
On Finding Minimal Infrequent Elements in Multi-dimensional Data Defined over Partially Ordered Sets

We consider databases in which each attribute takes values from a partially ordered set (poset). This allows one to model a number of interesting scenarios arising in different applications, including quantitative databases, taxonomies, and databases in which each attribute is an interval representing the duration of a certain event occurring over time. A natural problem that arises in such circumstances is the following: given a database $\mathcal{D}$ and a threshold value $t$, find all collections of "generalizations" of attributes which are "supported" by less than $t$ transactions from $\mathcal{D}$. We call such collections infrequent elements. Due to monotonicity, we can reduce the output size by considering only \emph{minimal} infrequent elements. We study the complexity of finding all minimal infrequent elements for some interesting classes of posets. We show how this problem can be applied to mining association rules in different types of databases, and to finding "sparse regions" or "holes" in quantitative data or in databases recording the time intervals during which a re-occurring event appears over time. Our main focus will be on these applications rather than on the correctness or analysis of the given algorithms.
Understanding internet video sharing site workload: a view from data center design

In this paper we measured and analyzed the workload on Yahoo! Video, the 2nd largest U.S. video sharing site, to understand its nature and the impact on online video data center design. We discovered interesting statistical properties on both static and temporal dimensions of the workload including file duration and popularity distributions, arrival rate dynamics and predictability, and workload stationarity and burstiness. Complemented with queueing-theoretic techniques, we further extended our understanding on the measurement data with a virtual design on the workload and capacity management components of a data center assuming the same workload as measured, which reveals key results regarding the impact of Service Level Agreements (SLAs) and workload scheduling schemes on the design and operations of such large-scale video distribution systems.
Predicting defaults of highly-levered firms with an adapted Altman model

ABSTRACT The purpose of this paper is to analyse whether applying Altman's model, with specific adjustments to highly levered firms, can reliably predict bankruptcies one quarter, one year, and two years in advance. Our focus on highly levered firms is motivated by leverage-driven theories of financial crises, where highly levered firms are the early defaulters once the expansionary phase of the business cycle turns into a recessionary phase. We find high predictability of defaults of firms in the Real-estate and Holding-companies sectors in Israel one year before the recent crisis.
Improving Keyphrase Extraction Using Wikipedia Semantics

Keyphrase extraction plays a key role in various fields such as information retrieval, text classification etc. However, most traditional keyphrase extraction methods relies on word frequency and position instead of document inherent semantic information, often results in inaccurate output. In this paper, we propose a novel automatic keyphrase extraction algorithm using semantic features mined from online Wikipedia. This algorithm first identifies candidate keyphrases based on lexical methods, and then a semantic graph which connects candidate keyphrases with document topics is constructed. Afterwards, a link analysis algorithm is applied to assign semantic feature weight to the candidate keyphrases. Finally, several statistical and semantic features are assembled by a regression model to predict the quality of candidates. Encouraging results are achieved in our experiments which show the effectiveness of our method.
TUB @ MediaEval 2014 Visual Privacy Task: Reversible Scrambling on Foreground Masks

This paper describes our participation in the Visual Privacy Task of MediaEval 2014, which aims to obscure human occurrence in image sequences. As a result the recorded person should be unrecognisable, but if needed the obscured areas can be recovered. We use an approach which models the background and pseudo-randomly scrambles pixels within disjunct foreground areas. This technique is reversible and preserves the colour characteristic of each area. So, colourbased approaches will still be able to automatically distinguish between dierently dressed individuals. The evaluations of our results show that the privacy aspect got a high score in all three evaluation streams. The level of intelligibility and the pleasantness of our approach is below the average, since scrambling results in lower ‘aesthetic’ images.
Exploring Salvage Techniques for Multi-core Architectures

As process technology scales, both fabrication induced and in-operation hard faults will become more prevalent, limiting yield and effective product lifetime. The simultaneous emergence of chip multiprocessors (CMPs) and revitalization of machine virtualization offers several opportunities for hard failure tolerance. In this paper, we provide preliminary analysis of methods for lifetime recoverability on CMPs which contain partially functional execution cores. Speciﬁcally, we examine how processor virtualization can help a CMP architecture architecture overcome faults by migrating computation or virtualizing functionality which cannot be supported by the hardware as a result of failure.
MicroRNA-363 and GATA-1 are regulated by HIF-1α in K562 cells under hypoxia

The aim of the present study was to investigate regulatory relationships among hypoxia-inducible factor-1α (HIF-1α), microRNA and erythroid transcription factors. K562 cells were transfected with HIF-1α knockout or with overexpression lentivirus of plasmid (MOI 10). The cells were divided into 3 groups: the negative control, overexpressing and interference groups. The cells were cultured under normoxia and hypoxia. Expression of miR-17*, miR-363 and miR-574-5p in the three groups was determined by quantitative PCR. Expression levels of erythroid transcription factor mRNAs such as GATA-1/GATA-2 and nuclear factor-erythroid 2 (NF-E2) were measured using RT-qPCR while the protein expression was studied using western blot analysis. Under normoxia or hypoxia, the levels of miR-17*, miR-363 and miR-574-5p in the overexpression group were higher than those in the other groups. Differences were statistically significant (P<0.05). Under hypoxia, the level of miR-363 in the interference group was less than that in the negative control group and difference was statistically significant (P<0.05). The level of GATA-1 mRNA in the overexpression group was higher than that in the negative control group, however, in the interference group the level was lower than that in the overexpression group under both normoxic and hypoxic conditions. The level of GATA-2 mRNA in the interference group was higher than that in other two groups under normoxic or hypoxic conditions. The NF-E2 mRNA was reversely related to GATA-2. The levels of HIF-1α, GATA-1 and NF-E2 mRNAs in the negative control under hypoxia were higher than those of normoxia. The level of HIF-1α mRNA in the overexpression group in hypoxia was lower than that in normoxia, while the GATA-1 and GATA-2 mRNA showed a reverse association. The levels of HIF-1α and GATA-2 mRNA in the interference group under hypoxia were higher compared to those of normoxia. Differences were statistically significant (P<0.05). Western blot results suggested that GATA-1, GATA-2 and NF-E2 protein expression correlated with changes in their respective mRNA transcription levels. The results therefore suggested that GATA-l and miR-363 were involved in the regulation of hematopoiesis via the HIF-1α pathway in K562 cells under hypoxic condition. The hsa-miR-17* and hsa-miR-574-5p were not entirely dependent on HIF-1α, suggesting possible complex regulatory mechanisms involved in hypoxia.
Unfolding Cultural, Educational and Scientific Long-Tail Content in the Web

This project poster introduces the recently started EEXCESS project, which aims at Enhancing Europes eXchange in Cultural Educational and Scientific Resource. Europe has digitised vast amounts of cultural, scientific and educational content like for example scientific research, historical sound recordings, images of sculptures, films and sheet music. However, since content dissemination on the Web is driven by a small number of large central hubs like social networks or search engines, this cultural and scientific treasures has hardly been recognized by the general public or utilized in scientific and educational processes. EEXCESS aims to develop personalized and contextualized recommendation technologies to augment existing content dissemination channels (e.g. social media) and content creation process (e.g. blogging) for distributing high-quality educational, scientific and cultural content. In this project poster we present the underlying idea and related work with focus on user modeling and personalized, context-aware recommendation.
An Approach to Design and Analyze the Framework for Preventing Cyberbullying

The advent of the internet has paved the means for global communication. In today's world, social networking websites like Facebook, Twitter, SnapChat, and Reddit are an integral part of youth and kids. Being exposed to many strangers on their social network, today's youth and kids are vulnerable to cyberbullying attacks, more so than ever. It has been a growing concern for parents and government as it has steadily increased the mortality rates of youth and kids. Given the degree of freedom one can have on the internet, it's a pain to prevent cyberbullying efficiently.
Sexual Assault Prevention and Reporting on College Campuses in the US: A Review of Policies and Recommendations.

Objective: Sexual violence within the collegiate environment is a pressing issue within American society. One way to address sexual violence is through the adaptation and implementation of a sexual assault policy by colleges and universities. The purpose of this study is to review sexual misconduct and assault policies of ten public universities as well as federal policies in the US. This study contributes to increasing the knowledge of sexual assault policies on American campuses that would be helpful in the development of more effective prevention policies, increasing sexual assault reporting, and decreasing sexual assaults. Methods: The data included relevant legislation, and the university sexual assault and/or misconduct policies from ten selected public universities within the United States in Fall 2014. Results: The policies of the ten universities vary. Three of the universities do not have university policies that explicitly address sexual misconduct as assault. Sexual harassment policies tend to focus on the threat of violence, as opposed to perpetrated sexual violence itself. Conclusions: Further efforts in policy revisions need to be made so that more universities will not only implement sexual assault policies, but also implement more comprehensive policies.
Viscous dampers : practical application issues for the structural engineer

Only in recent years have fluid viscous dampers (FVDs) been incorporated into building designs and retrofits in the United States to control the seismic and wind response of structures. They have been found to be an effective way of introducing damping to a structure to decrease building displacements. However, in Japan and several other countries, the FVD technology has been incorporated into buildings since the early 1990s and has been used widely on a much smaller scale for decades in the nuclear, mechanical, and automotive industries. In the U.S., this can be due to the idea that much of the work being performed in academic institutions to understand and model their behavior and their interaction with the structure it is attached to is often impractical to the practicing engineer and repetitive, with each researcher deriving their own analytical model for use. There remains no rational methodology for determining the optimal damping for a building, with research focusing more on deriving analytical methods rather than procedural methods, which the practicing engineer is accustomed to. The technology, therefore, remains to be widely accepted or even considered. An attempt is made here to address some of the relevant issues that a practicing design engineer wishing to incorporate FVDs would need to consider. A discussion on the available guidelines for design, other energy dissipation alternatives, and current procedures being followed for FVD design and analysis is provided. Thesis Supervisor: Jerome J. Connor, Jr. Title: Professor of Civil and Environmental Engineering
Heart rate variability associated with different modes of lower abdominal muscle tension during Zen meditation

To understand the effect of lower abdominal muscle (LAM) tension modes on hemodynamic events elicited by deep Zen meditation during Zazen, we studied heart rate in 2 intermediate Zen meditators. The study took place over 9 sets of Zen meditations in a quiet, Zen practice hall. Each set of Zazen lasted at least for 25 minutes. The first sets were used for habituation, and the data obtained from the following eight sets were used for analysis, where 2 modes of LAM tension, i.e., intentional LAM contraction (LAMC) and LAM relaxation (LAMR), were allocated alternately. Power spectrum analysis showed distinctive change in frequency components. High frequency (HF) components increased for LAMC (p=0.05). Most notably, detrended fluctuations analysis (DFA) of HRV were around 1/2 for LAMC and 0.82 for LAMR. During Zen practice, we seat ourselves in a lotus posture with LAMC, practice lower abdominal (Tanden) breathing, and keep mind free from specific state of consciousness. We attribute the increase of HF components and decrease of DFA exponent in LAMC to the parasympathetic stimulation, and to the minimal use of antigravity muscles in the optimal posture generated by LAMC, as contrasted with the active use of antigravity muscles in the unstable posture during LAMR.
A hospital based dynamic platform workflow management

In this paper, we propose the use of dynamic compilation of web services to support workflow management in a hospital setting. Web services related to work practices belong to an organization that have been designed, built and stored in a web services repository. These web services can be shared with multiple functional units within the organization via the intranet or the Internet. The workflow of a health scenario will be presented. Work practice services that were selected will be compiled logically and optimally using the proposed dynamic compilation platform. The final outcome is presented as a web application. The web application can be compiled and recompiled as often as needed whenever changes to the requirements occur. This dynamic platform for workflow management (DPWFM) integrates the decision making process of workflow management for each functional unit in the organization to customize the workflow requirements that suits their needs.
EMERGENT BEHAVIOUR IN CO-EVOLUTIONARY DESIGN JOSIAH POON AND MARY LOU MAHER Key Centre of Design Computing Department of Architectural and Design Science

An important aspect of creative design is the concept of emergence. Though emergence is important, its mechanism is either not well understood or it is limited to the domain of shapes. This deficiency can be compensated by considering definitions of emergent behaviour from the Artificial Life (ALife) research community. With these new insights, it is proposed that a computational technique, called evolving representations of design genes, can be extended to emergent behaviour. We demonstrate emergent behaviour in a co-evolutionary model of design. This co-evolutionary approach to design allows a solution space (structure space) to evolve in response to a problem space (behaviour space). Since the behaviour space is now an active participant, behaviour may emerge with new structures at the end of the design process. This paper hypothesizes that emergent behaviour can be identified using the same technique. The floor plan example of (Gero & Schnier 1995) is extended to demonstrate how behaviour can emerge in a co-evolutionary design process.
The Phenomenon of Travelling Waves: A Review

As early as 1934 evidence appeared in animals that waves of activity do not always remain stationary but can actually spread over the whole cortex. In the next year some of the earliest studies on the EEG of man showed phase changes of alpha activity that could account for the TW, which later was described when apparatus was built to better view it, especially in the 1950s. The TW has been described mainly as alpha activity that appears to travel both in abnormal and also normal conditions, including the resting state. The phenomenon seems to be enhanced with either external stimuli or endogenous emotional states, which increase phase changes on different brain areas. The travel has been described in all directions from the frontal to the occipital pole, and early work suggests that the posterior-anterior direction may be more often found in abnormal mental states. The speed of travelling over the scalp has varied usually from 1-20 m/sec, but generally has been reported around 5 m/sec. Most investigators have reported that the positive phase is the one which most clearly travels. In exploring the phenomenon of the travelling wave, it is clear that maximal positivity and negativity of the alpha is not always on the occipital regions, as many clinical studies would imply; instead, the fronto-central areas in particular are often the focus of maximal alpha. (ABSTRACT TRUNCATED AT 250 WORDS)
Incremental Solving Techniques for SAT-based ATPG

Automatic test pattern generation (ATPG) based on the Boolean satisfiability (SAT) problem has recently been proven to be a beneficial complement to traditional methods. Efficient SAT techniques yield a robust fault classification. In this paper, we present methodologies to improve the efficiency of SAT-based ATPG. First, we give a detailed run time analysis of a state-of-the-art SAT-based ATPG tool. By only taking circuit partitions into account and applying incremental SAT solving, both SAT instance generation and SAT instance solving can be accelerated and the robustness of the ATPG process is increased. Besides the significant run time reduction of SAT-based ATPG, the methodology can additionally be used to improve the test set quality. The proposed techniques are applied for the stuck-at and for the transition fault model. A set of large industrial designs is used to show the efficiency of the approach.
An Extended Libor Market Model With Nested Stochastic Volatility Dynamics

In this paper we extend standard Libor Market Model (LMM) with nested stochastic volatilities. The stochastic volatility of each Libor follows a mean-reverting process as in Schoebel and Zhu (1999) or in Heston (1993) under the individual forward measure of each Libor. Other than the existing stochastic volatility models, every volatility in the extended LMM is correlated with its Libor individually, and the parameters of stochastic volatility are also different over all Libors, however, are nested by some deterministic functions. With a nesting function, the same type of parameter such as mean level in all volatility processes share a certain term structure. In this model set-up, we can still derive the stochastic processes for Libors and volatilities under an arbitrary forward measure. In line with the stochastic volatility models for equity options, we obtain a closed-form solution via Fourier transform for caplets and floorlets. Finally, we use factor representation to express Libors and swap rates by some independent factors, namely principle components. The approximated analytical pricing formula principal for swaption can then be derived by using the characteristic functions that are just a product of the characteristic function of each factor. The numerical implementation of the nested stochastic volatility model is efficient and identical to the existing stochastic volatility models.