Miracle-dz/UniFAR-FTUs huggingface dataset:
A dance revolution? Responding to dominant discourses in contemporary integrated dance

This research is informed by 6 months of ethnographic fieldwork and 10 semi-structured interviews with 10 members of an integrated dance company. Through the use of Foucauldian theory and discourse analysis, we found that the discourses of legitimacy circulating in and through contemporary dance have typically excluded the bodies and artistic contributions of dancers with disabilities. The participants in this research provided examples of actively resisting dominant discourses of validity and professionalism in dance and also provided alternative discourses to what is regarded as the valid dancing body and aesthetic through their creation of integrated dance works. Their desire to gain recognition and appreciation as dance professionals, however, did at times create tensions with their equally strong desire to challenge dominant discourses of what professional dance and dancers should look like. As a result, this research furthers scholarly understandings of the ways in which persons with disabilities, and more specifically dancers with disabilities, negotiate societal discourses.
Evaluating Centering for Information Ordering Using Corpora

In this article we discuss several metrics of coherence defined using centering theory and investigate the usefulness of such metrics for information ordering in automatic text generation. We estimate empirically which is the most promising metric and how useful this metric is using a general methodology applied on several corpora. Our main result is that the simplest metric (which relies exclusively on NOCB transitions) sets a robust baseline that cannot be outperformed by other metrics which make use of additional centering-based features. This baseline can be used for the development of both text-to-text and concept-to-text generation systems.
Democratic Peace Theory and the Realist-Liberal Dichotomy: the Promise of Neoclassical Realism?

The idea of a separate (dyadic) peace among (liberal) democracies remains an alluring proposition for Western intellectuals and policy makers, despite criticism from non-Western circles. We contend that explanations of the democratic peace have degenerated into theoretical stalemate, with the structuralist bias depicted in (neo)realist theories and, conversely, the individualist nature of liberal theories of the democratic peace, providing little room for alternative conceptions. As a distinct theory of foreign policy in which the relationship between agents and structures, and their intersection across differing levels of analysis, is more fully explored, neoclassical realism could hold potential for transcending the explanatory dichotomies plaguing the theorisation of the democratic peace. Moreover, it could open up room for an alternative theoretical framework for theorising the dyadic peace and its implications for how peace-building initiatives are approached.
Quality at general practice consultations: cross sectional survey

Abstract Objectives: To measure quality of care at general practice consultations in diverse geographical areas, and to determine the principal correlates associated with enablement as an outcome measure. Design: Cross sectional multipractice questionnaire based study. Setting: Random sample of practices in four participating regions: Lothian, Coventry, Oxfordshire, and west London. Participants: 25 994 adults attending 53 practices over two weeks in March and April 1998. Main outcome measures: Patient enablement, duration of consultation, how well patients know their doctor, and the size of the practice list. Results: A hierarchy of needs or reasons for consultation was created. Similar overall enablement scores were achieved for most casemix presentations (mean 3.1, 95% confidence interval 3.1 to 3.1). Mean duration of consultation for all patients was 8.0 minutes (8.0 to 8.1); however, duration of consultation increased for patients with psychological problems or where psychological and social problems coexisted (mean 9.1, 9.0 to 9.2). The 2195 patients who spoke languages other than English at home were analysed separately as they had generally higher enablement scores (mean 4.5, 4.3 to 4.7) than those patients who spoke English only despite having shorter consultations (mean 7.1 (6.9 to 7.3) minutes. At individual consultations, enablement score was most closely correlated with duration of consultation and knowing the doctor well. Individual doctors had a wide range of mean enablement scores (1.1-5.3) and mean durations of consultation (3.8-14.4 minutes). Doctors' ability to enable was linked to the duration of their consultation and the percentage of their patients who knew them well and was inversely related to the size of their practice. At practice level, mean enablement scores ranged from 2.3 to 4.4 and duration of consultation ranged from 4.9 to 12.2 minutes. Correlations between ranks at practice level were not significant. Conclusions: It may be time to reward doctors who have longer consultations, provide greater continuity of care, and both enable more patients and enable patients more. Key messages 38% of practices approached on a random basis in four areas of the United Kingdom collected data for 2 weeks showing the feasibility of surveying the content and outcome of routine consultations in general practice At consultation level, enablement correlates best with the duration of consultations and how well the patient knows the doctor These correlates apply at doctor level as well—more enabling doctors work in smaller practices than less enabling doctors Case mix does not seem to be a determinant of enablement scores, but patients with more complex problems require longer consultations to achieve equal enablement Patterns of duration of consultation and enablement in patients who speak languages other than English are different and require further study
Racial differences in willingness to participate in HIV prevention clinical trials among university students in KwaZulu-Natal, South Africa

Students, especially women, are in the highest HIV incidence group in Sub-Saharan Africa. Willingness to participate is a crucial element in recruitment of participants for clinical trials, including HIV prevention trials. There is increasing incidence of HIV among university students, highlighting the importance of evaluating their willingness to participate in prevention trials. Assessment of willingness to participate assists in determining community preparedness for trials. This cross-sectional study aimed to evaluate willingness to participate and explore racial differences and factors associated with willingness to participate in HIV prevention research. The Clinical Research Involvement Scale and demographic questionnaire were administered online to university students aged 18–45 years at the University of KwaZulu-Natal in South Africa. The instruments evaluated associations between willingness to participate and age, gender, relationship status, parity, religion, education, student and employment status, and access to private health care. This study enrolled 636 participants, of which 509 records were analysable. Most students were willing to participate in HIV prevention research irrespective of race. However, Black students expressed greater intention to participate compared to White and Indian students. Racial differences in factors that affect intentions to participate were differences in risk perception and seeking access to better quality health care. The Clinical Research Involvement Scale is a reliable instrument in this population. Validity improved with removal of factors, motivation to comply, and outcome evaluations. These findings may not be generalizable to other student populations in Southern Africa.
A Journey into the Unknown; Taking the Fear Out of Structural Equation Modelling with AMOS for the First-Time User’

This paper is intended to act as a point of reference for early career researchers in Marketing (or first time users), by providing a consensus of the wide range of views and opinions on the topic, whilst highlighting and giving practical insights into the journey that the authors experienced when first using Structural Equation Modeling (SEM) with Analysis of MOment Structures (AMOS). It explains the basic principles involved and takes the reader from the initial processes of Model Building and Data Screening, through to the testing, assessment and modification of Measurement Models (CFA) and the final assessment of the Structural Model itself, in the hope that it will guide them away from the pitfalls and dangers of its misuse and misinterpretation and ensure success in their research projects.
Online Bridged Pruning for Real-Time Search with Arbitrary Lookaheads

Real-time search algorithms are relevant to timesensitive decision-making domains such as video games and robotics. In such settings, the agent is required to decide on each action under a constant time bound, regardless of the search space size. Despite recent progress, poor-quality solutions can be produced mainly due to state re-visitation. Different techniques have been developed to reduce such a re-visitation, with state pruning showing promise. In this paper, we propose a novel pruning approach applicable to the wide class of real-time search algorithms. Given a local search space of arbitrary size, our technique aggressively prunes away all states in its interior, possibly adding new edges to maintain the connectivity of the search space frontier. An experimental evaluation shows that our pruning often improves the performance of a base real-time search algorithm by over an order of magnitude. This allows our implemented system to outperform state-of-the-art real-time search algorithms used in the evaluation.
External Validation of the Lupus Impact Tracker in a Southeastern US Longitudinal Cohort With Systemic Lupus Erythematosus

To examine the external validity of the Lupus Impact Tracker (LIT), a systemic lupus erythematosus (SLE)‐specific, health‐related quality of life (HRQoL) tool in a population‐based cohort of patients with SLE in Atlanta, Georgia. We modeled the association of LIT scores with patient‐reported measures of SLE activity (Systemic Lupus Activity Questionnaire [SLAQ]) and organ damage (self‐administered Brief Index of Lupus Damage [SA‐BILD]). We investigated the association of LIT scores with general HRQoL using the Short Form 12 (SF‐12).
Analysing the color uniformity of the ATTD05 perceptual space

The aim of this work is to study the uniformity of the perceptual space of the multistage neural colour vision model ATTD05 by comparison with CIECAM02, which is the latest colour appearance model adopted by the CIE. A set of parameters describing the deformation suffered by the loci of constant chroma and hue of the Munsell Atlas, were used to measure the degree of uniformity of the space. From these results we can conclude that ATTD05 is, in general, more uniform as CIECAM02.
Towards automatic skill evaluation: Detection and segmentation of robot-assisted surgical motions

This paper reports our progress in developing techniques for “parsing” raw motion data from a simple surgical task into a labeled sequence of surgical gestures. The ability to automatically detect and segment surgical motion can be useful in evaluating surgical skill, providing surgical training feedback, or documenting essential aspects of a procedure. If processed online, the information can be used to provide context-specific information or motion enhancements to the surgeon. However, in every case, the key step is to relate recorded motion data to a model of the procedure being performed. Robotic surgical systems such as the da Vinci system from Intuitive Surgical provide a rich source of motion and video data from surgical procedures. The application programming interface (API) of the da Vinci outputs 192 kinematics values at 10 Hz. Through a series of feature-processing steps, tailored to this task, the highly redundant features are projected to a compact and discriminative space. The resulting classifier is simple and effective. Cross-validation experiments show that the proposed approach can achieve accuracies higher than 90% when segmenting gestures in a 4-throw suturing task, for both expert and intermediate surgeons. These preliminary results suggest that gesture-specific features can be extracted to provide highly accurate surgical skill evaluation.
Future Generation Computer Systems ( ) – Future Generation Computer Systems Enabling Cost-aware and Adaptive Elasticity of Multi-tier Cloud Applications

Available online xxxx Keywords: Cloud computing Elasticity Multi-tier applications Cost-aware criteria Adaptive scaling algorithm a b s t r a c t Elasticity (on-demand scaling) of applications is one of the most important features of cloud computing. This elasticity is the ability to adaptively scale resources up and down in order to meet varying application demands. To date, most existing scaling techniques can maintain applications' Quality of Service (QoS) but do not adequately address issues relating to minimizing the costs of using the service. In this paper, we propose an elastic scaling approach that makes use of cost-aware criteria to detect and analyse the bottlenecks within multi-tier cloud-based applications. We present an adaptive scaling algorithm that reduces the costs incurred by users of cloud infrastructure services, allowing them to scale their applications only at bottleneck tiers, and present the design of an intelligent platform that automates the scaling process. Our approach is generic for a wide class of multi-tier applications, and we demonstrate its effectiveness against other approaches by studying the behaviour of an example e-commerce application using a standard workload benchmark.
SPARQL-RW: transparent query access over mapped RDF data sources

The Web of Data is an open environment consisting of very large, inter-linked RDF datasets from various domains (e.g., DBpedia, GeoNames, ACM, PubMed, etc.) accessed through SPARQL queries. Establishing interoperability in this environment has become a major research challenge. This paper presents Sparql--Rw (SPARQL--ReWriting), a framework which provides transparent query access over mapped RDF datasets. The Sparql--Rw provides a generic method for SPARQL query rewriting, with respect to a set of predefined mappings between ontology schemas. To this end, it supports a set of rich and flexible mapping types and it is proved to provide semantics preserving queries.
What does the evidence tell us about adults with low intellectual functioning who deliberately set fires? A systematic review

Objective: The purpose of this paper was to systematically examine and integrate existing evidence to determine what is known about deliberate firesetting by adults with low intellectual functioning. Method:A set of specific inclusion and exclusion criteria were defined and a comprehensive search strategy of electronic databases was conducted. Results: Twelve studies met the specified inclusion criteria. Seven studies reported psychosocial characteristics of firesetters and five studies investigated the outcomes of firesetter treatment interventions. Quality assessment indicated the included studies provided low quality research evidence with a high to moderate risk of bias. Conclusions: The existing evidence provides limited understanding of firesetters with low intellectual functioning and it remains unclear whether epidemiological factors, assessment and treatment needs differ to firesetters with average or above intelligence. The extent to which modified assessment and intervention is effective with this group remains uncertain. Further high quality research endeavours are required before robust conclusions about deliberate firesetting by adults with low intellectual functioning can be delineated.
Leptin levels and adipose tissue percentage in adolescents with polycystic ovary syndrome

Abstract The main purpose of the research is to compare serum leptin (Lep) levels and adipose tissue percentage in adolescents diagnosed with polycystic ovary syndrome (PCOS) and those in healthy subjects. The results showed a greater percentage of patients with increased adipose tissue and significantly higher serum Lep levels in the PCOS group compared to the healthy controls. It was proved that there is a correlation between Lep and body mass index, body adipose tissue, waist circumference and HOMA index. PCOS in adolescents is a condition related to highly predominant overweight and obesity with exceeding level of body adipose tissue and higher serum Lep levels compared to healthy age-matched controls.
g: Is This Your Final Answer?

In many ways, it could be argued that the finding of a simple generalizable relation between cognitive ability and performance has inhibited progress in our attempts to understand the prediction of job performance. In this article, we focus on how the reliance on the cognitive ability-performance relation has yielded a flawed model of selection that is overly loaded on cognition. By pinpointing potential theoretical and empirical shortcomings in the relation between g and job performance, we hope to encourage and inspire further research on this important topic.
Actually in the Cinema: A Field Study Comparing Real 3D and 2D Movie Patrons' Attention, Emotion, and Film Satisfaction

While 3D movies and fantasy film genre rise in popularity, the empirical exploration of viewers' cognitive and emotional engagement with film is currently limited and entirely derived from laboratory-based studies of small samples. This study investigated the effect of stereoscopic realism (3D effect) on viewers' attention, emotion, and satisfaction by collecting data from 225 cinema patrons who were leaving the movie theatre having just viewed Thor. The viewers from the 3D condition rated their experience as more perceptually realistic and reported being less distracted during the film than their 2D counterparts. Yet no significant group differences were observed in self-reported emotional arousal or satisfaction with the whole experience. Further analysis revealed that perceptual realism was a better predictor of viewer satisfaction than emotional arousal. We consider the idea that these findings may be a function of the fantasy genre and call for researchers to extend this line of study.
Eigenmobilities in background electrolytes for capillary zone electrophoresis: IV. Computer program PeakMaster

We are introducing a computer implementation of the mathematical model of zone electrophoresis (CZE) described in Štědrý, M. , Jaroš, M. , Hruška, V. , Gaš, B. , Electrophoresis 2004, 25, 3071–3079 program PeakMaster. The computer model calculates eigenmobilities, which are the eigenvalues of the matrix tied to the linearized continuity equations, and which are responsible for the presence of system eigenzones (system zones, system peaks). The model also calculates other parameters of the background electrolyte (BGE) – pH, conductivity, buffer capacity, ionic strength, etc., and parameters of the separated analytes – effective mobility, transfer ratio, molar conductivity detection response, and relative velocity slope. This allows the assessment of the indirect detection, conductivity detection and peak broadening (peak distortion) due to electromigration dispersion. The computer model requires the input of the BGE composition, the list of analytes to be separated, and the system instrumental configuration. The output parameters of the model are directly comparable with experiments; the model also simulates electropherograms in a user‐friendly way. We demonstrate a successful application of PeakMaster for inspection of BGEs having no stationary injection zone.
There and back again: using fréchet-distance diagrams to find trajectory turning points

There is much interest in the automatic analysis of GPS trajectories, motivated amongst others by animal tracking, traffic modelling and tourism studies. Core questions involve for example detecting stopping points and flocking behaviour, and developing routing models. In this paper we consider turning points. We develop a formal definition of "turning point" based on analysing the structure of free-space diagrams for Fréchet distance. We give an efficient algorithm for computing an optimal set of turning points under this criterion. Our method is evaluated in the context of a current study on tourist preferences at Berchtesgaden National Park, Germany. We evaluate the suitability of our definition and the efficiency of our algorithm on a large set of real-world GPS trajectories collected by outdoor recreationists. A ground truth of turning points was established by hand for the complete data set. Experiments show that the runtime and quality of our method are suitable for practical applications.
2016 Ieee International Conference on Big Data (big Data) Community Detection with Partially Observable Links and Node Attributes

—Community detection has been an important task for social and information networks. Existing approaches usually assume the completeness of linkage and content information. However, the links and node attributes can usually be partially observable in many real-world networks. For example, users can specify their privacy settings to prevent non-friends from viewing their posts or connections. Such incompleteness poses additional challenges to community detection algorithms. In this paper, we aim to detect communities with partially observable link structure and node attributes. To fuse such incomplete information, we learn link-based and attribute-based representations via kernel alignment and a co-regularization approach is proposed to combine the information from both sources (i.e., links and attributes). The link-based and attribute-based representations can lend strength to each other via the partial consensus learning. We present two instantiations of this framework by enforcing hard and soft consensus constraint respectively. Experimental results on real-world datasets show the superiority of the proposed approaches over the baseline methods and its robustness under different observable levels. I. INTRODUCTION Recent years have witnessed an ever-growing number of information networks in a wide range of domains. Examples include computer networks, biological, semantic and social networks. In these networks, feature vectors are usually associated with nodes [23] [22] and links represent relationships between nodes. Community detection [12], [28], which aims at grouping similar objects into one community while partitioning dissimilar objects into different communities, is an important step to understand the characteristics of these networks. By identifying network communities, we are able to study the interactions between social groups [1], infer missing attribute values of nodes [2], [6], predict potential connections [5] between nodes, and identify nodes with similar functionalities [18]. Conventional community detection algorithms for network data are mainly designed for exploiting linkage information alone without taking advantage of the content information [20] [25]. However, in the era of big data, one can often collect node attributes, such as user profiles in social networks, properties of genes in biological networks and paper titles/abstracts in co-authorship networks. These node attributes can also provide important information for characterizing different communities. Therefore, it is critical