Miracle-dz/UniFAR-FTUs huggingface dataset:
Health and Quality of Life Outcomes

Background: To determine the psychometric properties of the Hospital Anxiety and Depression Scale (HADS) in patients with breast cancer and determine the suitability of the instrument for use with this clinical group. Methods: A cross-sectional design was used. The study used a pooled data set from three breast cancer clinical groups. The dependent variables were HADS anxiety and depression sub-scale scores. Exploratory and confirmatory factor analyses were conducted on the HADS to determine its psychometric properties in 110 patients with breast cancer. Seven models were tested to determine model fit to the data. Results: Both factor analysis methods indicated that three-factor models provided a better fit to the data compared to two-factor (anxiety and depression) models for breast cancer patients. Clark and Watson's three factor tripartite and three factor hierarchical models provided the best fit. Conclusion: The underlying factor structure of the HADS in breast cancer patients comprises three distinct, but correlated factors, negative affectivity, autonomic anxiety and anhedonic depression. The clinical utility of the HADS in screening for anxiety and depression in breast cancer patients may be enhanced by using a modified scoring procedure based on a three-factor model of psychological distress. This proposed alternate scoring method involving regressing autonomic anxiety and anhedonic depression factors onto the third factor (negative affectivity) requires further investigation in order to establish its efficacy. Background A diagnosis of breast cancer is often accompanied by a significant and profound experience of psychological distress, the most commonly presenting symptoms being those of anxiety and depression [1]. Indeed, prevalence rates of clinically relevant levels of anxiety and depression in cancer patients have been estimated to be up to 45% [24]. It has been observed that psychological symptoms Published: 14 July 2005 Health and Quality of Life Outcomes 2005, 3:41 doi:10.1186/1477-7525-341 Received: 25 April 2005 Accepted: 14 July 2005 This article is available from: http://www.hqlo. com/content/3/1/41 © 2005 Rodgers et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Incorporating varying requirement priorities and costs in test case prioritization for new and regression testing

Test case prioritization schedules the test cases in an order that increases the effectiveness in achieving some performance goals. One of the most important performance goals is the rate of fault detection. Test cases should run in an order that increases the possibility of fault detection and also that detects the most severe faults at the earliest in its testing life cycle. Test case prioritization techniques have proved to be beneficial for improving regression testing activities. While code coverage based prioritization techniques are found to be taken by most scholars, test case prioritization based on requirements in a cost effective manner has not been taken for study so far. Hence, in this paper, we propose to put forth a model for system level test case prioritization (TCP) from software requirement specification to improve user satisfaction with quality software that can also be cost effective and to improve the rate of severe fault detection. The proposed model prioritizes the system test cases based on the six factors: customer priority, changes in requirement, implementation complexity, usability, application flow and fault impact. The proposed prioritization technique is experimented in three phases with student projects and two sets of industrial projects and the results show convincingly that the proposed prioritization technique improves the rate of severe fault detection.
Gaze-based infotainment agents

We propose an infotainment presentation system that relies on eyegaze as an intuitive and unobtrusive input modality. The system analyzes eye movements in real-time to infer users' attention, visual interest, and preference regarding interface objects. The application consists of a virtual showroom where a team of two highly realistic 3D agents presents product items in an entertaining and attractive way. The presentation flow adapts to the user's attentiveness and interest, or lack thereof, and thus provides a more personalized and user-attentive experience of the presentation.
New formulations of D = 10 supersymmetry and D8-O8 domain walls

We discuss a generalized form of IIA/IIB supergravity depending on all R-R potentials C(p) (p = 0,1,.,9) as the effective field theory of type IIA/IIB superstring theory. For the IIA case we explicitly break this R-R democracy to either p⩽3 or p⩾5, which allows us to write a new bulk action that can be coupled to N = 1 supersymmetric brane actions. The case of eight-branes is studied in detail using the new bulk & brane action. The supersymmetric negative-tension branes without matter excitations can be viewed as orientifolds in the effective action. These D8-branes and \mbox{O$8$-planes} are fundamental in type I' string theory. A BPS eight-brane solution is given which satisfies the jump conditions on the wall. It implies a quantization of the mass parameter in string units. Also, we find a maximal distance between the two walls, depending on the string coupling and the mass parameter. We derive the same results via supersymmetric flow equations.
Acquisition and maintenance of excellence: the challenges faced by Dutch top-level gymnasts throughout different stages of athletic development

Abstract The purpose of the present study is to identify the within-career challenges top-level gymnasts experience during the initiation, development and mastery stage of athletic development in training sessions, competition, and in daily life. In-depth interviews are used to explore the perceived challenges of 16 talented and elite gymnasts (M = 16.5 years, SD = 4.6 years). Participants are divided into three groups, according to the stage of their athletic development. Several challenges are perceived in all stages of athletic development (e.g. learning new elements, dealing with stress under pressure, dealing with distractions and managing their dual career). As the number of different challenges increases as the gymnasts reach the mastery stage, challenges seem to become more personal and specific than in previous stages. The study shows obvious differences in the nature of the perceived challenges for different stages of athletic development, which provides useful insights for those who work with talented and elite athletes.
Was the expansion of the marketing license for nicotine replacement therapy in the United kingdom to include smoking reduction associated with changes in use and incidence of quit attempts?

BACKGROUND In December 2009 and January 2010, the UK Medicines and Healthcare Products Regulatory Agency expanded the marketing license for a number of nicotine replacement therapies (NRTs) to include smoking reduction without an intention to stop completely. This study examined whether this was associated with a change in incidence of use of NRT for harm reduction (i.e., smoking reduction and/or temporary abstinence) and in smoking cessation activity. METHODS Data were taken from 10,497 smokers who took part in the Smoking Toolkit Study, which involves monthly representative household surveys of adults aged 16+ in England. Incidence of use of NRT for smoking reduction and/or temporary abstinence and attempts to stop smoking in 2009 was compared with the 2 years following the expansion of the marketing license. RESULTS Expansion of the license was not associated with an increase in incidence of NRT use for harm reduction, which was already substantial prior to the change. The odds of a quit attempt were lower in the second year following the license change relative to the year before, but there was no change in the success of quit attempts. CONCLUSIONS Expansion of the UK marketing license for NRT to include smoking reduction without the intention of quitting was not associated with an increase in use of NRT for this purpose. It was followed by a reduction in the incidence of quit attempts (but not their success) although this may have been a continuation of a pre-existing decline.
A Visual Data Mapping Tool for Software Components Interactions in Service-Oriented Architectures

With the spread of Service-Oriented Architectures, software components are exposed as Web services whose orchestration is gaining more and more importance. Several CASE tools and development frameworks have been put in place for representing conversations and composition without requiring designers to bother about implementation issues. However, as data sources for the exposed software components are arbitrary, data management problems within Web services interactions are often underestimated. This work addresses the topic of data mapping between XML contents of Web service messages and relational databases, which typically stores such information at the various peers. We propose a highlevel approach to this problem, by offering (a) a very simple and straightforward visual transformation model as a software layer that enables the communication between peers based on various data formats, and (b) a software tool that allows the designer to draw the transformation diagrams between the message contents and the database structure. We provide the description of an algorithm for the automatic translation of visual mappings to XSLT rules, and the approach application within the WebML modeling framework for Web services design.
FlexBFS: a parallelism-aware implementation of breadth-first search on GPU

In this paper, we present FlexBFS, a parallelism-aware implementation for breadth-first search on GPU. Our implementation can adjust the computation resources according to the feedback of available parallelism dynamically. We also optimized our program in three ways: (1)a simplified two-level queue management,(2)a combined kernel strategy and (3)a high-degree vertices specialization approach. Our experimental results show that it can achieve 3~20 times speedup against the fastest serial version, and can outperform the TBB based multi-threading CPU version and the previous most effective GPU version on all types of input graphs.
Impact of Mobile Acceleration on the Statistics of Rayleigh Fading Channel

Clarke's model of the received signal statistics in a mobile isotropic scattering environment assumes a constant mobile velocity, a consequence of which is that the autocorrelation function of the received signal and the Power Spectral Density (PSD) are independent of the absolute time. In this contribution we relax the assumption of constant mobile velocity and analyze the statistics of the channel when the mobile receiver has a constant acceleration. First, we derive expressions for a general scattering environment and, then, specialize them to the case of isotropic scattering environment. The autocorrelation and PSD of the channel are not only a function of the lag, τ , but the absolute time index, n as well. There are now two kinds of PSDs: The conventional PSD , based on the well-known Wiener-Khintchine theorem, gives the spectrum in the τ domain. The second PSD is concerned with the variation of the channel with time and gives the spectrum in the n domain. The simulation results suggest that the two PSDs show a pattern of periodicity which can be explained by considering asymptotic approximation of the Bessel function. Moreover, the magnitudes of the PSDs diminish with increasing τ or n such that the conventional PSD approaches uniform distribution over 0 to 2π when time n is large whereas the PSD of channel variation with time approaches zero for large τ . We give results on the basis of simulations and justify analytically, or heuristically. We also discuss different implications of these results.
Resolving species diversity in the red algal genus Callophyllis (Kallymeniaceae, Gigartinales) in Canada using molecular assisted alpha taxonomy

The COI-5P DNA barcode (the 5′ region of the mitochondrial cytochrome c oxidase I gene) has proven an effective tool for quickly screening large numbers of biological specimens and assigning them to genetic species groups for subsequent examination in an approach known as molecular-assisted alpha taxonomy (MAAT). In the present study, we applied MAAT to Canadian species of the red algal genus Callophyllis in order to resolve confusion surrounding this taxonomically perplexing group. A total of 563 Callophyllis specimens were examined (either molecularly, morphologically or both) – 504 from British Columbia along the Pacific coast of Canada and 59 from the U.S.A. , Australia and Chile. In total, 16 genetic species groups were resolved including 12 in Canada although only nine species are reported in the flora. Here we report range extensions of C. beringensis and C. radula from the NW Pacific, C. dissecta from California, U.S.A. and the Chilean species C. variegata (the type species) into the Canadian flora. Our results also uncovered cryptic diversity in the genus necessitating the description of C. schneideri Clarkston & G.W. Saunders sp. nov. Subsequent analyses of a subset of specimens using the internal transcribed spacer of the ribosomal cistron (ITS) resolved the same groups as COI-5P while the universal plastid amplicon (UPA, domain V of theplastid 23S rRNA gene) had poor resolution at the species level and in one case underestimated species diversity. Finally, large-subunit ribosomal DNA (LSU), nuclear elongation factor 2 (EF2), COI-5P and a combined LSU, EF2 and COI-5P alignment were subjected to phylogenetic analyses in order to investigate relationships among Canadian species of Callophyllis. A significant outcome was the resolution of two well-supported lineages for the monocarpogonial versus polycarpogonial species of this genus, as had been posited in the literature.
Kinesiophobia, self-efficacy and pain-related disability in patients with non-specific low back pain

Psychological factors like kinesiophobia and self-efficacy have been shown to be associated with pain and disability perception in patients with non-specific low back pain (NSLBP). The association among extent of kinesiophobia, self efficacy, pain intensity and disability in patients presenting with NSLBP and the predictor of disability among pain intensity, self-efficacy and kinesiophobia in these patients were investigated in this study. The research design was an analytical cross sectional survey involving 275 consecutively selected individuals diagnosed with NSLBP at a tertiary hospital in southwestern Nigeria. The main outcome measures used were: Quadruple Visual Analogue Scale (QVAS), Tampa Scale for Kinesiophobia (TSK), Revised Oswestry Disability Questionnaire (RODQ) and Self-Efficacy in Rehabilitation Scale (SER). The mean age of the participants was 51.62±13.4 years. The extent of kinesiophobia and measure of selfefficacy were high and above average as seen in 71.7% and 94.3% of the participants respectively. The mean scores on TSK, RODQ, SER and pain intensity were 39.45±5.91, 36.98±15.97, 98.68±21.4 and 7.35±1.94 respectively. Participants with high scores on TSK had significantly high scores on RODQ and low scores on SER. There was a significant positive association between extent of kinesiophobia, disability and selfefficacy (p<0.05). Self-efficacy, pain intensity and kinesiophobia significantly predicted extent of disability (p<0.05). Patients with NSLBP exhibited fear of re-injury (kinesiophobia). Patients with high level of kinesiophobia had increased pain intensity and reduced self-efficacy. High levels of kinesiophobia accompanied by increased pain intensity and decreased self-efficacy were significant predictors of pain related disability in patients with NSLBP. Keywords: Non-specific low back pain, self-efficacy, kinesiophobia, perceived disability
Achernar: Rapid Polarization Variability as Evidence of Photospheric and Circumstellar Activity

We present the results of a high-accuracy (σ ≈ 0.005%) polarization monitoring of the Be star Achernar that was carried out between 2006 July 7 and November 5. Our results indicate that after a near-quiescent phase from 1998 to 2002, Achernar is currently in an active phase and has built a circumstellar disk. We detect variations both in the polarization level and position angle on timescales as short as 1 hr and as long as several weeks. Detailed modeling of the observed polarization strongly suggests that the short-term variations originate from discrete mass ejection events which produce transient inhomogeneities in the inner disk. Long-term variations, on the other hand, can be explained by the formation of an inner ring following one or several mass ejection events.
Mechanizing KADS models of expertise with MODEL-K

To close the gap between knowledge level and symbol level, the MODEL-K language allows to specify KADS conceptual models and to refine them to operational systems. Since both activities may be arbitrarily interleaved, early prototyping is supported at the highest level. Systems written in MODEL-K contain their conceptual model, making them more transparent, easier to communicate to the expert, to explain to the user, and to maintain by the knowledge engineer.
Structural and functional salivary disorders in type 2 diabetic patients.

UNLABELLED Diabetes mellitus type 2 is the most common metabolic disorder and it causes an important morbimortality. The structural modifications in the parotid gland (sialosis) had already been described in these patients and could result in variations in the salivary composition, as well as an increase in periodontal and dental pathology. OBJECTIVES To compare the biochemical findings in the saliva and to correlate these biochemical disturbances with the morphologic findings previously described. PATIENTS AND METHODS Clinical information were gathered about 33 patients, 17 had type 2 diabetes. Samples of whole saliva were obtained for biochemical analysis and serum samples to determine metabolic control. RESULTS In the diabetics saliva we found urea and total proteins increased and reduced levels of microalbumina. Salivary glucose was only augmented in patients with poor metabolic control. Clinical symptoms of xerostomia were present in 76,4% and dental and periodontal disease in 100%. The parotid gland was characterised by the presence of small acini, lipid intracytoplasmic droplets, as well as adipose stroma infiltration. The acinar cytoqueratins expression was heterogeneous and very positive in the hyperplasic ducts. CONCLUSIONS These biochemical disorders in the saliva of the type 2 diabetic patients would be related with the structural changes previously observed in parotid glands.
Model-based Clustering of non-Gaussian Panel Data

In this paper we propose a model-based method to cluster units within a panel. The underlying model is autoregressive and non-Gaussian, allowing for both skewness and fat tails, and the units are clustered according to their dynamic behaviour and equilibrium level. Inference is addressed from a Bayesian perspective and model comparison is conducted using the formal tool of Bayes factors. Particular attention is paid to prior elicitation and posterior propriety. We suggest priors that require little subjective input from the user and possess hierarchical structures that enhance the robustness of the inference. Two examples illustrate the methodology: one analyses economic growth of OECD countries and the second one investigates employment growth of Spanish manufacturing firms
The Rocket Chip Generator Krste

Rocket Chip is an open-source Sysem-on-Chip design generator that emits synthesizable RTL. It leverages the Chisel hardware construction language to compose a library of sophisticated generators for cores, caches, and interconnects into an integrated SoC. Rocket Chip generates general-purpose processor cores that use the open RISC-V ISA, and provides both an in-order core generator (Rocket) and an out-of-order core generator (BOOM). For SoC designers interested in utilizing heterogeneous specialization for added efficiency gains, Rocket Chip supports the integration of custom accelerators in the form of instruction set extensions, coprocessors, or fully independent novel cores. Rocket Chip has been taped out (manufactured) eleven times, and yielded functional silicon prototypes capable of booting Linux.
Integrating knowledge management and human resources via skill management

Knowledge is more and more a key factor within companies. Nearly 40 percent of all employees are so called "knowledge workers". Distribution and inquest of knowledge within companies are supported by skill management systems. Although not all aspects and potentials of this instrument are yet utilized skill management systems have spread widely within business organizations. This paper summarizes the requirements, scopes and problems for skill management system within the company.
Learning in repeated auctions

Auction theory historically focused on the question of designing the best way to sell a single item to potential buyers, with the concurrent objectives of maximizing the revenue generated or the welfare created. Those results relied on some prior Bayesian knowledge agents have on each-other and/or on infinite computational power. All those assumptions are no longer satisfied in new markets such as online advertisement: similar items are sold repeatedly, agents are agnostic and try to manipulate each-other. On the other hand, statistical learning theory now provides tools to supplement those missing assumptions in the long run, as agents are able to learn from their environment to improve their strategies. This survey covers the recent advances of learning in repeated auctions, starting from the traditional economical study of optimal one-shot auctions with a Bayesian prior. We will then focus on the question of learning these mechanism from a dataset of the past values of bidders. The sample complexity as well as the computational efficiency of different methods will be studied. We will also investigate online variants where gathering those data has a cost to be integrated ("earning while learning"). In a second step, we will further assume that bidders are also adaptive to the mechanism as they interact repeatedly with the same seller. We will show how strategic agents can actually manipulate repeated auctions, at their own advantage. At the end of this stand-alone survey (reminders of the different techniques used are provided), we will describe new interesting direction of research on repeated auctions.