Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Early Power and Timing Estimations of Massively Heterogeneous Computation Platforms to Create Optimized HPC Applications

The ever rising energy and accordingly cooling demands are a major hurdle for the scalability of today's supercomputers. We are challenged with the need to increase computation performance to cope with the rising complexity of calculations on the one hand and the need to keep the energy/cooling demand stable or in the best case even to reduce it. Recently, one widely discussed way to do this is the integration of heterogeneous computation devices into the supercomputer systems as these tend to have a far better performance/energy ratio for large classes of applications. The obvious drawback of heterogeneous systems is the additional design complexity for the software development in order to efficiently use these devices in terms of performance as well as power. For this reason we propose a flow, which assists the software developer at design time, offering immediate power- and performance-estimation. Such approaches are already known in the embedded world, helping there to select between different design possibilities, and will be used to get the best possible performance from a massively heterogeneous computation platform, while still keeping the energy consumption in mind.
An Algorithm for the Syllabification of Written Italian

The aim of the present notes is to describe an algorithm for the syllabification of written Italian that has been developed at Laboratorio di Linguistica. The present algorithm is of deterministic type and it is based upon the use of recursion and of binary tree in order to detect the boundaries of the syllables within each word.
Inhibitory Effect of Dry Needling on the Spontaneous Electrical Activity Recorded from Myofascial Trigger Spots of Rabbit Skeletal Muscle

Chen JT, Chung KC, Hou CR, Kuan CR, Chen SM, Hong CZ: Inhibitory effect of dry needling on the spontaneous electrical activity recorded from myofascial trigger spots of rabbit skeletal muscle. Am J Phys Med Rehabil 2000;80:729–735. Objective: Dry needling of myofascial trigger points can relieve myofascial pain if local twitch responses are elicited during needling. Spontaneous electrical activity (SEA) recorded from an active locus in a myofascial trigger point region has been used to assess the myofascial trigger point sensitivity. This study was to investigate the effect of dry needling on SEA. Design: Nine adult New Zealand rabbits were studied. Dry needling with rapid insertion into multiple sites within the myofascial trigger spot region was performed to the biceps femoris muscle to elicit sufficient local twitch responses. Very slow needle insertion with minimal local twitch response elicitation was conducted to the other biceps femoris muscle for the control study. SEA was recorded from 15 different active loci of the myofascial trigger spot before and immediately after treatment for both sides. The raw data of 1-sec SEA were rectified and integrated to calculate the average integrated value of SEA. Results: Seven of nine rabbits demonstrated significantly lower normalized average integrated value of SEA in the treatment side compared with the control side (P < 0.05). The results of two-way analysis of variance show that the mean of the normalized average integrated value of SEA in the treatment group (0.565 ± 0.113) is significantly (P < 0.05) lower than that of the control (0.983 ± 0.121). Conclusions: Dry needling of the myofascial trigger spot is effective in diminishing SEA if local twitch responses are elicited. The local twitch response elicitation, other than trauma effects of needling, seems to be the primary inhibitory factor on SEA during dry needling.
Exploring Personality Across Childhood Into Adulthood: Can One Describe and Predict a Moving Target?

Abelson, R. ( 1981). Psychological status of the script concept. American Psychologist, 36, 715-729. Bar-On, R. , & Parker, J. (Eds.). (in press). Handbook ofemotional intelligence. San Francisco: Jossey-Bass. Campos, J. J., Mumme, D. , Kermoian, R. , & Campos, R. G. (1994). A functionalist perspective on the nature of emotion. The development of emotion regulation: Monographs of the Society for Research in ChildDevelopment, 59(2,3, Serial No. 240) 284-303. Colby, A. , & Damon, W. (1992). Some do care: Contemporary lives of moral commitment. New York: Free Press. Frijda, N. (1986). The emotions. Cambridge, England: Cambridge University Press. Gibson, E. J. (1982). The concept of affordance in development: The renascence of functionalism. In A. W. Collins (Ed.), Theoretical perspectives on development: Minnesota Symposium on Child Psychology (Vol. 13). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc. Gottman, J., Katz, L. F. , & Hooven, C. (1997). Meta-emotion. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc. Mayer, J., & Salovey, P. (1997). What is emotional intelligence? In P. Salovey & D. Sluyter (Eds.), Emotional development and emotional intelligence (pp. 3-31). New York: Basic Books. Neisser, U. (1992). The development of consciousness and the acquisition of skill. In F. Kessel, P. M. Cole, & D. Johnson (Eds.), Self and consciousness: Multiple perspectives (pp. 1-18). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc. Saarni, C. (1999). The development of emotional competence. New York: Guilford. Saarni, C. (2000). The social context of emotional development. In M. Lewis &J. Haviland (Eds.), HandbookoofEmotions (2nd ed., pp. 306-322). New York: Guilford.
Nonparametric statistical inverse problems

We explain some basic theoretical issues regarding nonparametric statistics applied to inverse problems. Simple examples are used to present classical concepts such as the white noise model, risk estimation, minimax risk, model selection and optimal rates of convergence, as well as more recent concepts such as adaptive estimation, oracle inequalities, modern model selection methods, Stein's unbiased risk estimation and the very recent risk hull method.
On the permanence of vertices in network communities

Despite the prevalence of community detection algorithms, relatively less work has been done on understanding whether a network is indeed modular and how resilient the community structure is under perturbations. To address this issue, we propose a new vertex-based metric called "permanence", that can quantitatively give an estimate of the community- like structure of the network. The central idea of permanence is based on the observation that the strength of membership of a vertex to a community depends upon the following two factors: (i) the distribution of external connectivity of the vertex to individual communities and not the total external connectivity, and (ii) the strength of its internal connectivity and not just the total internal edges. In this paper, we demonstrate that compared to other metrics, permanence provides (i) a more accurate estimate of a derived community structure to the ground-truth community and (ii) is more sensitive to perturbations in the network. As a by-product of this study, we have also developed a community detection algorithm based on maximizing permanence. For a modular network structure, the results of our algorithm match well with ground-truth communities.
Painful semantic context modulates the relationship between action words and biological movement perception

ABSTRACT Studies have revealed a close relationship between action–word processing and the detection of point-light biological movements and that this effect can be modulated by the context of action-verb presentation. The goal of the present study was to further examine the extent to which motor representation activation plays a role in this relationship by testing the influence of painless/painful sentence understanding during a listening task. Participants judged the presence or absence of a point-light biological movement that was embedded in a scrambled mask after a congruent or incongruent action sentence was presented. The sentences varied according to the context of action-verb presentation (painful, painless). Perceptual judgments of human movements improved after a prior presentation of a congruent action sentence but only in the painless context. Thus, our findings show that pain included in a semantic context of sentence presentation can preclude the relationship between action–word understanding and point-light biological movement judgments.
Simulation study of microblog community structure based on BA scale-free network

Based on the analysis of the scale-free characteristics of microblog user network, we establish the topology model of micro blog community network combining based on BA scale-free network model. Simulation calculating helps us build the simulation network of realistic micro blog community and we explore the formation and change system of micro blog user network by adjusting related parameters.
Série Scientifique Scientific Series Regulation and Productivity in the Quebec Manufacturing Sector Regulation and Productivity in the Quebec Manufacturing Sector

Ce document est publié dans l'intention de rendre accessible les résultats préliminaires de la recherche effectuée au CIRANO, afin de susciter des échanges et des suggestions. Les idées et les opinions émises sont sous l'unique responsabilité des auteurs, et ne représentent pas nécessairement les positions du CIRANO ou de ses partenaires. This paper presents preliminary research carried out at CIRANO and aims to encourage discussion and comment. The observations and viewpoints expressed are the sole responsibility of the authors. They do not necessarily represent positions of CIRANO or its partners. CIRANO Le CIRANO est une corporation privée à but non lucratif constituée en vertu de la Loi des compagnies du Québec. Le financement de son infrastructure et de ses activités de recherche provient des cotisations de ses organisations-membres, d'une subvention d'infrastructure du ministère de l'Industrie, du Commerce, de la Science et de la Technologie, de même que des subventions et mandats obtenus par ses équipes de recherche. La Série Scientifique est la réalisation d'une des missions que s'est données le CIRANO, soit de développer l'analyse scientifique des organisations et des comportements stratégiques. CIRANO is a private non-profit organization incorporated under the Québec Companies Act. Its infrastructure and research activities are funded through fees paid by member organizations, an infrastructure grant from the Ministère de l'Industrie, du Commerce, de la Science et de la Technologie, and grants and research mandates obtained by its research teams. The Scientific Series fulfils one of the missions of CIRANO: to develop the scientific analysis of organizations and strategic behaviour. Les organisations-partenaires / The Partner Organizations Ministère de l'Industrie, du Commerce, de la Science et de la Technologie. École des Hautes Études Commerciales. École Polytechnique. Université de Montréal. Université Laval. McGill University. Université du Québec à Montréal. Bell Québec. La Caisse de dépôt et de placement du Québec. Hydro-Québec. Banque Laurentienne du Canada. Fédération des caisses populaires de Montréal et de l'Ouest-du-Québec. Téléglobe Canada. Resources and the Environment held in Quebec for their helpful comments. Financial support from the Social Sciences and Humanities Research Council of Canada and the Fonds FCAR is gratefully acknowledged. The usual disclaimer applies. Abstract / Résumé We investigate the impact of occupational safety and health (OSH) and environmental regulation on the rate of growth of total factor productivity (TFP) in the Quebec manufacturing sector during the 1985-88 period. Our results show that environmental regulation and OSH protective reassignments (a prevention policy …
Integrating Action Definitions into Concurrent Declarative Programming

The semantics of a process defines the actions it can execute. Thus actions constitute an essential notion for concurrent systems. In this paper, we tackle the problem of integrating the definition of actions within the context of concurrent constraint functional logic programming. We propose to define actions in a meta-language, where abstract data types of programs are available, as functions from constraint functional logic programs to themselves. We illustrate our approach through some examples and compare our approach to related work.
Differentiation of infectious bursal disease virus strains at a genomic level.

Reverse transcription-polymerase chain reaction (RT-PCR) followed by restriction fragment-length polymorphism (RFLP) analysis was tested in order to determine its accuracy and sensitivity for differentiation of infectious bursal disease virus (IBDV) strains. Two commercial vaccine strains and two Croatian field isolates were analysed. RT-PCR assay was used for amplification of a variable part of VP2 gene (422 bp) encoding for major neutralizing epitopes. Amplified VP2 fragments were further characterized by RFLP analysis using the SacI and TaqI restriction endonucleases. Both field isolates showed RFLP pattern similar to highly virulent European and Asian strains. Both vaccine strains had RFLP profiles different from that of the field isolates. Vaccinal strain 2512 had RFLP pattern similar to mild vaccinal strain pbg-98, and strain VMG-91 was similar to other classical vaccinal strains of intermediate pathogenicity. Introduction Infectious bursal, or Gumboro, disease is an acute, highly infectious viral disease of immature chickens. The etiological agent, infectious bursal
3D continuos hand motion reconstruction from dual EEG and EMG recordings

The precise reconstruction of continuous hand movements is a complex problem that remains unsolved to a large extent. In particular, this problem needs to be addressed to build reliable arm prosthesis for trans-humeral amputees. Current attempts using noninvasive techniques either had specifications that made them inapplicable to the real world or had low correlation values. In this study we use simultaneous EEG and EMG recordings showing the importance of combining both of them for reaching high accuracy in a real world applicable approach. We also analyse four different predictors to solve the problem. In this study with 16 subjects we obtained correlation values up to 0.875.
Unrevealing the structure of live BitTorrent swarms: Methodology and analysis

BitTorrent is one of the most popular application in the current Internet. However, we still have little knowledge about the topology of real BitTorrent swarms and how the traffic is actually exchanged among peers. This paper addresses fundamental questions regarding the topology of live BitTorrent swarms. For this purpose we have collected the evolution of the graph topology of 250 real torrents from its birth during a period of 15 days. Using this dataset we first demonstrate that real BitTorrent swarms are neither random graphs nor small world networks. Furthermore, we will see how some factors such as the torrent popularity affect the swarm topology. Secondly, the paper proposes a novel methodology in order to infer the clustered peers in real BitTorrent swarms, something that was not possible so far. Finally, we dedicate special effort to demonstrate that current BitTorrent swarms are experiencing a marked locality phenomenon at the overlay construction level (or connectivity graph). This locality effect is even more pronounced when we consider the exchange traffic relationships between peers. This suggests that an important portion of the BitTorrent traffic is currently confined within the ISPs. This opens a discussion regarding the relative gain of the locality solution proposed so far.
Towards Understanding Learning Behavior Patterns in Social Adaptive Personalized E-Learning Systems

Implicit user modeling has always long since played an important role in supporting personalized web-based e-learning environments and is increasingly important in other learning environments such as serious games. Its main concern is to unobtrusively and ubiquitously learn from a learner’s previous experiences and characteristics, in order to adapt the services to their personal needs. An empirical investigation for understanding learning behavior patterns forms the basis for establishing stronger implicit user modeling mechanisms and this study aims to get a better insight into types of learning behavior. The proposed usage of data mining and visualization elicited some interesting learning behavior patterns . We analyzed these from two perspectives: action frequency and action sequences , based on an expert-designed classification of behavior patterns that helped rank the various action categories according to significance from a user’s perspective. The initial results of the study are promising and suggest possible directions for further improving implicit user modeling.
‘I can’t see you any more’: A phenomenology of political Facebook unfriending

This study explores the phenomenology of politically motivated Facebook unfriending and is based on semi-structured in-depth interviews with 18 Jewish Israeli Facebook users who unfriended at least one Facebook friend during the Israel-Gaza conflict of 2014. This research contributes to two main theoretical concerns. The first is the emerging study of disconnectivity, and particularly unfriending. The second relates to the potential for social media to serve as platforms for political discussion. We ask: Is political unfriending part of a trend towards polarization, whereby we screen out political views we find unpalatable? Is it a normative statement about the acceptable limits of discourse? Or is it an apolitical act of consumer choice, more akin to changing channels on the TV than voting in an election? Two main groups of findings emerge from analysis of the interviews. First, unfriending can be conceptualized as metacommunicative. Through unfriending, users are saying something about unacceptable types of talk. Second, all of the interviewees said they unfriended someone because they simply couldn’t deal with seeing that person’s content any more. This was very often accompanied by metaphors of cleanliness. Through unfriending, Facebook users shape both the content and the style of expression to which they are exposed on their feed. Unfriending is thus conceptualized as a kind of boundary maintenance. However, unlike work that relates boundary maintenance to privacy and looks at what information we allow out, here we see unfriending as a mechanism for controlling what we allow in within a context of networked sociability.
Caught in the act: the lifetime of synaptic intermediates during the search for homology on DNA

Homologous recombination plays pivotal roles in DNA repair and in the generation of genetic diversity. To locate homologous target sequences at which strand exchange can occur within a timescale that a cell’s biology demands, a single-stranded DNA-recombinase complex must search among a large number of sequences on a genome by forming synapses with chromosomal segments of DNA. A key element in the search is the time it takes for the two sequences of DNA to be compared, i.e. the synapse lifetime. Here, we visualize for the first time fluorescently tagged individual synapses formed by RecA, a prokaryotic recombinase, and measure their lifetime as a function of synapse length and differences in sequence between the participating DNAs. Surprisingly, lifetimes can be ∼10 s long when the DNAs are fully heterologous, and much longer for partial homology, consistently with ensemble FRET measurements. Synapse lifetime increases rapidly as the length of a region of full homology at either the 3′- or 5′-ends of the invading single-stranded DNA increases above 30 bases. A few mismatches can reduce dramatically the lifetime of synapses formed with nearly homologous DNAs. These results suggest the need for facilitated homology search mechanisms to locate homology successfully within the timescales observed in vivo.
Embedded System for Speech Recognition and Image Processing

In recent years, the products of voice terminal and image retrieval show the intelligentized trend, but the mature commodities are rare in the market. This paper presents an embedded design method of intelligent voice terminal based on pattern recognition. The design adopts Samsung S3C2410 ARM as target board, Philips Uda1341TS as audio codec, embedded Linux OS as software platform, and speech recognition is implemented through small-vocabulary voice training. To improve the recognized effect, we use the image retrieval technology as an auxiliary tool, which helps speech recognition module create or more accurately find a personal voice-training library. By means of image recognition, the experimental results prove that the effect of speech recognition achieves an average increase of 10 percentages.
Edge Enhancement and Fine Feature Restoration of Segmented Objects using Pyramid Based Adaptive Filtering

A problem often encountered with multiresolution segmentation algorithms is that small or thin features of an object become lost. This is particularly evident in linked-pyramid structures and a method is required to restore these features. This paper shows that simple adaptive isotropic and non-isotropic filtering based on the inter-region signal-to-noise ratio can be used to iteratively re-establish the lost features. It is also shown that boundary placement is also improved and a balance between class certainty and boundary placement is achieved. A number of results are presented for synthetic and real images.
ISOLATED WORD DESCRIPTORS AS CONTROL PARAMETERS OF THE COMPUTER APPLICATIONS

This paper is an extended version of the MIT’06 conference contribution. During the conference, many inquiries about the used techniques were performed. Hence, in the paper some parts of investigations were explained and discussed, with greater accuracy. It is shown that the computer applications can be controlled by a human voice. The computer controlling processes are available by means of utterance of isolated words, where application events with the aid of user’s voice can be serviced. The voice usage can be convenient for blind or partially sighted users or for persons with limb paresis. The Microsoft application events, by means of the practicable Microsoft Windows firmware MSAA ® technology can be analysed. Such technology, together with isolated word descriptors, as voice recognition system, has been presented.
Identification of genetic variants involved in dyslexia pathogenesis by joint analysis of QTLs and epistasis

We conducted a GPU-based genome-wide interaction analysis (GWIA) in order to identify genetic susceptibility factors contributing to dyslexia. Dyslexia is a highly prevalent disorder, characterized by deficits in reading and spelling. We identified genetic interactions affecting susceptibility for altered cognitive skills in affected individuals. Our results show that the etiology of dyslexia is likely based on multi-genetic mechanisms. Thus, we suggest that GWIAs should be shifted further into the focus of investigations, for a better understanding of complex traits and genetics.
The Wiki: an environment to revolutionise employees' interaction with corporate knowledge

Some corporations have adopted a Wiki on their Intranets for employees to collectively store, edit and access work-related material such as reports, best-practice features, and documents. As such collaborative software moves from the social to the corporate arena, it is bound to challenge management authority, engaging the knowledge worker in a more participatory knowledge capability and environment. This paper explores the implication that this revolution has for the interaction of corporate users with technology that will lead to a profound change in organisational culture.