Miracle-dz/UniFAR-FTUs huggingface dataset:
Formally measuring agreement and disagreement in ontologies

Ontologies are conceptual models of particular domains, and domains can be modeled differently, representing different opinions, beliefs or perspectives. In other terms, ontologies may disagree with some particular pieces of information and among themselves. Assessing such agreements and disagreements is very useful in a variety of scenarios, in particular when integrating external elements of information into existing ones. In this paper, we present a set of measures to evaluate the agreement and disagreement of an ontology with a statement or with other ontologies. While our work goes beyond the naive approach of checking for logical inconsistencies, it relies on a complete formal framework based on the semantics of the considered ontologies. The experiments realized on several concrete scenarios show the validity of our approach and the usefulness of measuring agreement and disagreement in ontologies.
Crime as a National Political Issue: 1964-76

An examination of crime, code name "law and order," as a major political issue over four presidential campaigns commencing in 1964 leads to a number of at least tentative conclusions: (1) Law and order has been a campaign issue primarily for conservative candidates challenging more liberal incumbents or incumbent administrations-for example, Gold water (1964), Nixon and Wallace (1968), and Reagan (1976). (2) The con servative proposals for handling crime have generally encompassed an ap proach to crime control based on the concepts of free will and retributive justice. (3) There are fundamental inconsistencies between the political philosophy of conservatism and certain law and order strategies for han dling crime. (4) The monopoly over this issue at the national level by can didates from the political right has had definite effects upon public policy regarding crime-effects that are likely to continue well into the future.
Improved Power Quality IHQRR-BIFRED Converter Fed BLDC Motor Drive

This paper presents an IHQRR (Integrated High Quality Rectifier Regulator) BIFRED (Boost Integrated Flyback Rectifier Energy Storage DC-DC) converter fed BLDC (Brushless DC) motor drive. A reduced sensor topology is derived by utilizing a BIFRED converter to operate in a dual DCM (Discontinuous Conduction Mode) thus utilizing a voltage follower approach for the PFC (Power Factor Correction) and voltage control. A new approach for speed control is proposed using a single voltage sensor. The speed of the BLDC motor drive is controlled by varying the DC link voltage of the front end converter. Moreover, fundamental frequency switching of the VSI’s (Voltage Source Inverter) switches is used for the electronic commutation of the BLDC motor which reduces the switching losses in the VSI. The proposed drive is designed for a wide range of speed control with an improved power quality at the AC mains which falls within the recommended limits imposed by international power quality standards such as IEC 61000-3-2.
Leisure Patterns and Health Among Recently Widowed Adults

ABSTRACT The purpose of this study was to examine how leisure involvement changes with the transition to widowhood and to determine if change in leisure involvement during this time has an impact on widows' physical and mental health. Adults age 50 and older who had transitioned into widowhood between Waves 1 and 2 or Waves 2 and 3 of the Americans' Changing Lives (ACL) dataset (N = 154) were included in the study. Results indicated that during this time widows experienced changes in their leisure repertoire (the types of leisure activities in which they participate), and the frequency of their leisure involvement. These changes in leisure behavior were associated with functional impairment, depressive symptoms, and life satisfaction, as well as their ability to cope with the loss of their spouse. Findings were interpreted in terms of effective strategies that appear to be employed by widows in utilizing leisure activities following loss of a spouse.
Fluency Has a Role in the Simple View of Reading

The Simple View of Reading (SVR) suggests that the components of reading comprehension are decoding and linguistic comprehension. Given research that suggests that fluency is a separate construct from decoding and linguistic comprehension in fourth grade, the aim of this study was to examine the role of fluency in the SVR model. Analyses of data from 248 fourth-grade children explored whether the influence of fluency on reading comprehension is direct or whether fluency plays an indirect role on reading comprehension as a mediator or moderator of decoding. Structural equation modeling and latent regression analyses revealed that reading fluency plays a mediating role in explaining the relation between decoding and reading comprehension. This novel finding is placed in the context of studies that reported either a direct effect or no effect of reading fluency in SVR.
Less-than-best-effort service for Community Wireless Networks: Challenges at three layers

Community Wireless Networks can be a way to make “Internet access for everyone” possible, by sharing a broadband Internet connection via WLAN. The underlying idea is to freely provide network access to anybody in the vicinity of the wireless access point via a Lower-than-Best-Effort (LBE) service, such that non-paying users interfere as little as possible with the “regular” Internet usage. Such a service faces challenges at various network layers; this paper discusses some of them, focusing on layers 2, 3 and 4.
Attention deficit hyperactivity disorder and sex: A test of two etiological models to explain the male predominance

Tested were two theoretical models, the polygenetic multiple-threshold model and the constitutional variability model, which were both developed to explain the male predominance of attention deficit hyperactivity disorder (ADHD). The differential correlates to ADHD predicted by these models were tested in a clinic-referred sample of 13 girls and 67 boys who were reliably diagnosed with ADHD using a multi-informant procedure. Our data were not consistent with the predictions made by the two models, including the shared assumption that girls with ADHD would show a more severe form of the disorder. However, boys with ADHD were more likely to have fathers with a childhood history of ADHD, which may provide the basis for alternative theories of the male predominance. In addition, girls with ADHD were younger at the time of referral than boys with ADHD, despite the fact that their parents reported the onset of symptoms no earlier in girls with ADHD, than in boys with ADHD.
Boundary moving horizon estimator for approximate models of parabolic PDEs

In this work, we focus on the state estimation of the parabolic stochastic partial differential equations (PDEs) with boundary observation. The standard Kalman filter as the optimal estimator with assumption of stochastic process features and known variances on state and output disturbances can not account for the naturally present constraints on the estimated states and state disturbances. Therefore, a motivation to explore the moving horizon estimator (MHE) in the distributed parameter system setting, comes from the idea to synthesize an estimator that provides the best state estimate in a deterministic sense when process and measurement disturbances are with unknown statistics and when process constraints on states and disturbances are present. We explore the parabolic PDEs model with boundary observation, and the spectral decomposition approach is employed to yield a finite dimensional system, which incorporates low dimensional approximation of the original infinite-dimensional system. The boundary moving horizon estimator (MHE) combined with Kalman filter is built to reconstruct accurately the low dimensional approximation of the PDE state based on the noise corrupted boundary observations and estimated bounds arising from the infinite-dimensional parabolic PDEs state representation. The issue of parabolic PDEs state constraints inclusion in the MHE with Kalman filter is demonstrated by relevant simulation study of reaction-diffusion parabolic PDEs process with disturbance constraints and demonstration of accurate PDE state reconstruction.
Skalen zur Selbstwirksamkeit und Entscheidungsbalance im Prozeß der Verhaltensänderung von Rauchern

Zusammenfassung. Im Kontext des transtheoretischen Modells von Prochaska werden in Anlehnung an amerikanische Originalversionen Skalen zur Erfassung der Konstrukte Selbstwirksamkeit und Entscheidungsbalance entwickelt sowie deren Testgute uberpruft. Die Stichprobe besteht aus 279 Jemals-Rauchern aus einer Gesamtheit von 592 Personen, die am “Check ab 35”, einer Gesundheitsuntersuchung nach § 25 SGB V, in 60 allgemeinarztlichen Praxen teilnahmen. Ihnen wurden u.a. folgende Skalen vorgelegt: Selbstwirksamkeits-Skala zur Raucherentwohnung (SER), Entscheidungsbalance-Skala zur Raucherentwohnung (EBR) und Skala zur Messung der Stufen der Verhaltensanderung nach Prochaska (Velicer, DiClemente, Prochaska & Brandenburg, 1985). Die SER ist eine eindimensionale Skala und besteht aus 9 Items mit einer inneren Konsistenz von α = 0.95 und Retest-Reliabilitat (6 Wochen) von r = 0.85. Die EBR ist zweidimensional, wobei mit jeweils 5 Items auf der einen Dimension die wahrgenommenen Vorteile und auf der anderen Dimension .
Statistical baseline assessment in cardiotocography

Cardiotocography (CTG) is the most common non-invasive diagnostic technique to evaluate fetal well-being. It consists in the recording of fetal heart rate (FHR; bpm) and maternal uterine contractions. Among the main parameters characterizing FHR, baseline (BL) is fundamental to determine fetal hypoxia and distress. In computerized applications, BL is typically computed as mean FHR±ΔFHR, with ΔFHR=8 bpm or ΔFHR=10 bpm, both values being experimentally fixed. In this context, the present work aims: to propose a statistical procedure for ΔFHR assessment; to quantitatively determine ΔFHR value by applying such procedure to clinical data; and to compare the statistically-determined ΔFHR value against the experimentally-determined ΔFHR values. To these aims, the 552 recordings of the “CTU-UHB intrapartum CTG database” from Physionet were submitted to an automatic procedure, which consisted in a FHR preprocessing phase and a statistical BL assessment. During preprocessing, FHR time series were divided into 20-min sliding windows, in which missing data were removed by linear interpolation. Only windows with a correction rate lower than 10% were further processed for BL assessment, according to which ΔFHR was computed as FHR standard deviation. Total number of accepted windows was 1192 (38.5%) over 383 recordings (69.4%) with at least an accepted window. Statistically-determined ΔFHR value was 9.7 bpm. Such value was statistically different from 8 bpm (P<10−19) but not from 10 bpm (P=0.16). Thus, ΔFHR=10 bpm is preferable over 8 bpm because both experimentally and statistically validated.
TCAD for analog circuit applications: virtual devices and instruments

Capabilities for analog modeling of advanced transistors are demonstrated based on tools and techniques developed specifically to support technology development. In addition, providing support for more accurate analog modeling, there is the opportunity to predict technology dependencies and therefore to selectively target technology optimization for analog performance. The term "technology files" is well-known among circuit designers and specifically means the relevant circuit modeling information that contains technology dependencies. Technology computer-aided design (TCAD) provides powerful analog capabilities to directly predict not only the technology files but also a wide range of other critical behavior information about devices and circuits that depend directly on technology.
Conceptual issues in hypnosis research: explanations, definitions and the state/non-state debate

The present paper aims to integrate existing streams of hypnosis research and theory into a broader context. A conceptual framework is presented that illustrates the range of explanatory approaches that are available to describe psychological phenomena in general, and this is applied to the discussion of hypnosis. In doing so, various approaches to hypnosis research are categorized and the scope and limitations of the theories derived from them are considered. The definition of hypnosis is also explored within this framework. The state/non-state debate is reconsidered in the context of the systems approach to states of consciousness described by Tart (1983/2000). Research agendas for hypnosis are clarified, and methodologies and directions for future research are suggested. Copyright © 2002 British Society of Experimental and Clinical Hypnosis
Knowledge-driven 3-D Extraction of the Masseter from MR Data

In this paper, we propose a knowledge-driven highly automatic methodology for extracting the masseter from magnetic resonance (MR) data sets for clinical purposes. The masseter is a muscle of mastication which acts to raise the jaw and clench the teeth. In our initial work, we designed a process which allowed us to perform 2-D segmentation of the masseter on 2-D MR images. In the methodology proposed here, we make use of ground truth to first determine the index of the MR slice in which we will carry out 2-D segmentation of the masseter. Having obtained the 2-D segmentation, we will make use of it to determine the region of interest (ROI) of the masseter in the other MR slices belonging to the same data set. The upper and lower thresholds applied to these MR slices, for extraction of the masseter, are determined through the histogram of the 2-D segmented masseter. Visualization of the 3-D masseter is achieved via volume rendering. Our methodology has been applied to five MR data sets. Validation was done by comparing the segmentation results obtained by using our proposed methodology against manual contour tracings, obtaining an average accuracy of 83.5%
Forcing the issue: new labour, new localism and the democratic renewal of police accountability

Abstract: The purpose of this article is to evaluate proposals contained in the government's Green Paper Policing: Building Safer Communities Together (Home Office 2003) and the White Paper Building Communities: Beating Crime (Home Office 2004) to re-invigorate the structure of police governance in the UK. After providing a brief overview of New Labour's initial attempts to modernise British policing, I analyse why and how the broader political discourse of ‘new localism’ came to frame the unfolding debate about the need to revitalise police accountability. The article then offers a critical evaluation of the latest Home Office attempt to reorganise the democratic structure of police governance in the UK.
Instructing people for training gestural interactive systems

Entertainment and gaming systems such as the Wii and XBox Kinect have brought touchless, body-movement based interfaces to the masses. Systems like these enable the estimation of movements of various body parts from raw inertial motion or depth sensor data. However, the interface developer is still left with the challenging task of creating a system that recognizes these movements as embodying meaning. The machine learning approach for tackling this problem requires the collection of data sets that contain the relevant body movements and their associated semantic labels. These data sets directly impact the accuracy and performance of the gesture recognition system and should ideally contain all natural variations of the movements associated with a gesture. This paper addresses the problem of collecting such gesture datasets. In particular, we investigate the question of what is the most appropriate semiotic modality of instructions for conveying to human subjects the movements the system developer needs them to perform. The results of our qualitative and quantitative analysis indicate that the choice of modality has a significant impact on the performance of the learnt gesture recognition system; particularly in terms of correctness and coverage.
BioChain : Using Lexical Chaining Methods for Biomedical Text Summarization

1 ABSTRACT Lexical chaining is a technique for identifying sem antically-related terms in a text. It is useful in document summarization in order to identify the top sentences most likely to contain the main ideas of a document or document set. These top sentences are t hen xtracted and combined in order to produce a summary of the document(s). To date, summarization w rk using lexical chains has been done using general purpose texts, such as news items, in combi nation with lexical resources, such as WordNet. To implement biomedical document summarization using l exical chaining, a chaining algorithm must first be implemented using biomedical lexical resources. The Unified Medical Language System (UMLS) provides resources, such as metathesaurus and seman tic network, as well as the text-to-concept mapping tool MetaMap Transfer, which are expected to be use ful for implementing chaining in the biomedical domain. The goal of the project is to produce a nov el concept chaining implementation in the biomedica l domain using UMLS lexicon and the ideas of lexical chaining. The results of chaining text concepts based on semantic types are then applied to biomedi cal ocument summarization, using both abstracts and full-text.
Circuit Level Design Approaches for Radiation- Hard Digital Electronics

In this paper, we present design based architectural techniques for radiation hardened digital electronics. These techniques can be applied at many levels of the design without any changes in the fabrication process technology. These are planned to just detect the presence of an upset in the system or although these are more complex to detect and correct the system error in the presence of an upset. Design based techniques are composed of some kind of redundancy which can be provided by extra components (hardware redundancy) or by an extra execution time or by different instants of data sampling (time redundancy), very often techniques implement a combination of both. We present a Triple Modular Redundancy (TMR) and Code word state preserving technique that ensure radiation tolerance.
MEG analysis of "theory of mind" in emotional vignettes comprehension.

OBJECTIVE Several studies suggested that an impaired "theory of mind" might play a key role in psychiatric disorders, such as autism and schizophrenia. Medial frontal lobe lesions of the right frontal lobe were reported to impair this ability. The aim of our study was to locate areas of the brain associated with the process of "theory of mind" in normal subjects. METHODS In order to index the activity of brain areas related to "theory of mind" reasoning in sixteen normal adults, we administered an emotional ("happy", "sad", "angry" and "neutral") vignettes comprehension task during magnetoencephalography (MEG) recordings and analyzed these data by using SAM (synthetic aperture magnetometry), SPM99 and the permutation method. Subjects were presented with eight different videotaped social situations (each emotion has two vignettes) and were asked to indicate which emotion they represented. RESULTS Statistically significant activation in the comparison of "happy"-"sad" and "angry"-"sad" was observed in the bilateral medial prefrontal cortices in the alpha frequency band. There were no significant differences in comparisons of each type of emotional vignette to the neutral vignettes, "happy"-"angry" comparison, and male-female comparisons. There was no significant difference in other frequency bands. CONCLUSION This result suggests that bilateral medial prefrontal cortex are involved in the comprehension of emotional states of others.
The ‘europeanisation’ of othering: children using ‘Europe’ to construct ‘others’ in Cyprus

The accession of the Republic of Cyprus to the European Union in 2004 was anticipated to be a ‘catalytic’ factor in developments towards a solution of the Cyprus problem at the political level. Within education, it was also seen as an opportunity for addressing diversity in a historically ethnocentric educational system through the introduction of a European dimension. Against this background, this article explores Greek-Cypriot children’s discourses about national others by drawing upon two sets of data collected in two studies of roughly seven years apart. Despite the different theoretical and methodological approaches of the two studies, and despite the temporal distance between them (almost three and a half years before and after Cyprus’s EU accession respectively), the concept of ‘Europe’ was mobilised by children in highly similar ways to distinguish, evaluate and hierarchise various others and to re-produce ethnic, racial, and Eurocentric stereotypes against national outgroups and their immigrant classmates from diverse ethnic and cultural backgrounds
Obese Locus in WNIN/Obese Rat Maps on Chromosome 5 Upstream of Leptin Receptor

WNIN/Obese (WNIN/Ob) rat a new mutant model of metabolic syndrome was identified in 1996 from an inbred Wistar rat strain, WNIN. So far several papers are published on this model highlighting its physical, biochemical and metabolic traits. WNIN/Ob is leptin resistant with unaltered leptin or its receptor coding sequences - the two well-known candidate genes for obesity. Genotyping analysis of F2 progeny (raised from WNIN/Ob × Fisher - 344) in the present study localized the mutation to a recombinant region of 14.15cM on chromosome 5. This was further corroborated by QTL analysis for body weight, which narrowed this region to 4.43 cM with flanking markers D5Rat256 & D5Wox37. Interval mapping of body weight QTL shows that the LOD score peak maps upstream of leptin receptor and shows an additive effect suggesting this as a novel mutation and signifying the model as a valuable resource for studies on obesity and metabolic syndrome.
Modeling the Creative Process: A Grounded Theory Analysis of Creativity in the Domain of Art Making

ABSTRACT: In recent years a number of researchers have attempted to model the cognitive, affective, behavioral, and contextual factors associated with the making of a work of art. However, very few studies have actually focused on understanding and describing what artists actually do during the creation of an artwork. Therefore, in this study grounded theory was used to investigate this phenomenon and to develop a descriptive model of the art-making process. In Study 1, 16 professional visual artists were interviewed over the course of making a work of art, which provided a descriptive database of their working processes from the inception to the completion of the artwork. Grounded theory was used to analyze the data and to develop a dynamic, descriptive model of the art-making process. A second study involving 9 artists was undertaken to determine the validity of this model. The results suggested that the model has adequate content validity and sufficient scope to accommodate the working processes of a range of artists.
Advances in Chinese Natural Language Processing and Language resources

In the past few years, there have been a significant number of activities in the area of Chinese Natural Language Processing (CNLP) including the language resource construction and assessment. This paper summarized the major tasks and key technologies in Natural Language Processing (NLP), which encompasses both text processing and speech processing by extension. The Chinese Language resources, including linguistic data, speech data, evaluation data and language toolkits which are elaborately constructed for CNLP related fields and some language resource consortiums are also introduced in this paper. Aimed to promote the development of corpus-based technologies, many resource consortiums commit themselves to collect, create and distribute many kinds of resources. The goal of these organizations is to set up a universal and well accepted Chinese resources database so that to push forward the CNLP.