Miracle-dz/UniFAR-FTUs huggingface dataset:
Peer victimisation and its relationships with perceptions of body composition

The present study examined the links between children's exposure to peer victimisation, in terms of type and frequency, their body composition and subjective perceptions of body composition. A total of 960 Swedish 10‐year‐olds (515 girls and 445 boys) completed questionnaires about their peer victimisation experiences, weight and height, and perceptions of shape and stature. Results showed that whereas overweight girls reported exposure to both appearance‐teasing and bullying, overweight boys mainly reported repeated experiences of appearance‐teasing. When examining the relative importance of body composition (weight and height) and perceptions of body composition on peer victimisation experiences, children's negative body perceptions were more strongly associated with the outcome than were body composition. This study hence stresses that children who are victimised also seem to battle unfavourable attitudes towards their physical selves, which may cause increasing concern as the child enters adolescence.
PRCA - A Parallel Relational Concept Analysis Framework

Relational Concept Analysis (RCA) extends standard Formal Concept Analysis (FCA) by taking relations between objects into account. The scalability of RCA learning on top of huge amounts of sensor data is a challenge for applications such as smart home system monitoring in ambient assisted living environments. One possible approach to improve scalability is to exploit the capabilities of modern parallel computing architectures such as multi-core CPUs. In this paper, we propose PRCA (Parallel Relational Concept Analysis), a novel framework for parallel relational concept learning. 1
Optimizing constraint-based mining by automatically relaxing constraints

In constraint-based mining, the monotone and anti-monotone properties are exploited to reduce the search space. Even if a constraint has not such suitable properties, existing algorithms can be re-used thanks to an approximation, called relaxation. In this paper, we automatically compute monotone relaxations of primitive-based constraints. First, we show that the latter are a superclass of combinations of both kinds of monotone constraints. Second, we add two operators to detect the properties of monotonicity of such constraints. Finally, we define relaxing operators to obtain monotone relaxations of them.
A Review: Simultaneous Localization and Mapping Algorithms for Mobile Robot

Simultaneous Localization and Mapping (SLAM) involves creating an environmental map based on sensor data, while concurrently keeping track of the robot’s current position. Efficient and accurate SLAM is crucial for any mobile robot to perform robust navigation. It is also the keystone for higher-level tasks such as path planning and autonomous navigation. The past two decades have seen rapid and exciting progress in solving the SLAM problem together with many compelling implementations of SLAM methods. In this paper, we will review the two common families of SLAM algorithms: Kalman filter with its variations and particle filters. This article complements other surveys in this field by reviewing the representative algorithms and the state-of-the-art in each family.
Short-term Treatment of Daumone Improves Hepatic Inflammation in Aged Mice

Chronic inflammation has been proposed as one of the main molecular mechanisms of aging and age-related diseases. Although evidence in humans is limited, short-term calorie restriction (CR) has been shown to have anti-inflammatory effects in aged experimental animals. We reported on the long-term treatment of daumone, a synthetic pheromone secreted by Caenorhabditis elegans in an energy deficient environment, extends the life-span and attenuates liver injury in aged mice. The present study examined whether late onset short-term treatment of daumone exerts anti-inflammatory effects in the livers of aged mice. Daumone was administered orally at doses of 2 or 20 mg/kg/day for 5 weeks to 24-month-old male C57BL/6J mice. Increased liver macrophage infiltration and gene expression of proinflammatory cytokines in aged mice were significantly attenuated by daumone treatment, suggesting that short-term oral administration of daumone may have hepatoprotective effects. Daumone also dose-dependently suppressed tumor necrosis factor-α (TNF-α)-induced nuclear factor-κB (NF-κB) phosphorylation in HepG2 cells. The present data demonstrated that short-term treatment of daumone has anti-inflammatory effects in aged mouse livers possibly through suppression of NF-κB signaling and suggest that daumone may become a lead compound targeting aging and age-associated diseases.
Complete genome sequence of Halopiger xanaduensis type strain (SH-6)

Complete genome sequence of Halopiger xanaduensis type strain (SH-6 T) Halopiger xanaduensis is the type species of the genus Halopiger and belongs to the euryarchaeal family Halobacteriaceae. H. xanaduensis strain SH-6, which is designated as the type strain, was isolated from the sediment of a salt lake in Inner Mongolia, Lake Shangmatala. Like other members of the family Halobacteriaceae, it is an extreme halophile requiring at least 2.5 M salt for growth. We report here the sequencing and annotation of the 4,355,268 bp genome, which includes one chromosome and three plasmids. This genome is part of a Joint Genome Institute (JGI) Community Sequencing Program (CSP) project to sequence diverse haloarchaeal genomes.
phangorn: phylogenetic analysis in R

Summary: phangorn is a package for phylogenetic reconstruction and analysis in the R language. Previously it was only possible to estimate phylogenetic trees with distance methods in R. phangorn, now offers the possibility of reconstructing phylogenies with distance based methods, maximum parsimony or maximum likelihood (ML) and performing Hadamard conjugation. Extending the general ML framework, this package provides the possibility of estimating mixture and partition models. Furthermore, phangorn offers several functions for comparing trees, phylogenetic models or splits, simulating character data and performing congruence analyses. Availability: phangorn can be obtained through the CRAN homepage http://cran.r-project.org/web/packages/phangorn/index.html. phangorn is licensed under GPL 2. Contact: klaus.kschliep@snv.jussieu. fr Supplementary information: Supplementary data are available at Bioinformatics online.
Risk Analysis of Blood Glucose Data: A Quantitative Approach to Optimizing the Control of Insulin Dependent Diabetes

Patients with Insulin-Dependent Diabetes are continuously involved in a clinical optimization process: to maintain strict glycemic control without increasing their risk for hypoglycemia. This study offers quantitative tools for on-line assessment of the quality of this optimization, based on self-monitoring of blood glucose (SMBG). Ninety-six adults with Insulin Dependent Diabetes Mellitus (IDDM), age 35 ± 8 yrs. , duration of diabetes 16 ± 10 yrs. , HbAlc 8.6 ± 1.8%, 43 of whom had a recent history of severe hypoglycemia (SH), while 53 did not, used Lifescan One Touch II meters for 135 ± 53 SMBG readings over a month. For the following six months the subjects recorded occurrence of SH. The two patient groups, with and without a history of SH, did not differ in age, duration of diabetes, HbAlc, insulin units/day, average BG or BG variability. We suggest a computational procedure based on a symmetrization of the BG measurement scale and on a superimposed BG risk function, that allows for computation of two glycemic control markers: the Low BG Index (LBGI) and the High BG Index (HBGI). The LBGI is associated with SH: the LBGI and the rate of change of the BG risk, classified correctly 77% of the subjects with vs. without a history of SH and accounted for 46% of the variance of future SH. The HBGI, in combination with age, duration of diabetes and daily insulin dose, accounted for 57% of the variance of patients' glycosylated hemoglobin. We conclude that the LBGI and the HBGI are accurate on-line SMBG measures for patients' glycemic control.
Exploring Visual Selective Attention towards Novel Stimuli in Alzheimer's Disease Patients

Background: Alzheimer's disease (AD) is associated with selective attention impairments, which could contribute to cognitive and functional deficits. Selective attention can be explored through examination of novelty preference. Aims: In this study, we quantified novelty preference in AD patients by measuring visual scanning behaviour using an eye tracking paradigm. Methods: Mild-to-moderate AD patients and elderly controls viewed slides containing novel and repeated images simultaneously. The outcome measure was time spent on specific images, with novelty preference defined by greater relative fixation time (RFT) on novel versus repeated images. Cognitive status (Standardized Mini-Mental State Examination, SMMSE) and attention (Digit Span, DS) were also measured. Results: AD patients (age 79.2 ± 6.7 years, SMMSE 22.2 ± 4.0, n = 41) and controls (age 76.2 ± 6.4 years, SMMSE 28.1 ± 2.0, n = 24) were similar in age, education and sex. Compared with controls, AD patients had lower RFT on novel than on repeated images (F1,63 = 11.18, p = 0.001). Further, reduced RFT was associated with lower scores on SMMSE (r63 = 0.288, p = 0.020) and DS (r63 = 0.269, p = 0.030). Within individuals, novelty preference was detected in 92.3% of patients and in 100% of controls. Conclusion: These findings suggest that novelty preference, measured by visual scanning behaviour, can differentiate cognitively healthy and impaired people and may offer a nonverbal, less cognitively demanding method of assessing selective attention.
Prognostic value of histone chaperone FACT subunits expression in breast cancer

Understanding the underlying reasons for tumor aggressiveness, such as why some tumors grow slowly and locally, while others rapidly progress to a lethal metastatic disease, is still limited. This is especially critical in breast cancer (BrCa) due to its high prevalence and also due to the possibility that it can be detected early. Several oncogenes and tumor suppressors have been identified and are used in the prognosis and treatment of BrCa. However, even with these markers, the outcome within BrCa subtypes is highly variable. Chromatin organization has long been acknowledged as a factor that plays an important role in tumor progression, but molecular mechanisms defining chromatin dynamics are largely missing. We have recently found that histone chaperone FACT (facilitates chromatin transcription) is overexpressed in ~18–20% of BrCa cases. FACT is elevated upon transformation of mammary epithelial cells and is essential for viability of tumor cells. BrCa cells with high FACT have a more aggressive transcriptional program than those with low FACT cells. Based on this we propose that FACT may be a marker of aggressive BrCa. In this study, we aimed to comprehensively characterize the pattern of FACT expression in BrCa in relation to other molecular and clinical prognostic markers. We developed and tested an assay for the detection and quantitation of protein levels of both FACT subunits, SSRP1, and SPT16, in clinical samples. We compared the value of mRNA and protein as potential markers of disease aggressiveness using a large cohort of patients (n=1092). We demonstrated that only SSRP1 immunohistochemical staining is a reliable indicator of FACT levels in tumor samples. High SSRP1 correlated with known markers of poor prognosis, such as negative hormone receptor status, presence of Her2, high-grade tumors, and tumors of later clinical stage. At the same time, no strong correlation between SSRP1 expression and survival was detected when all samples were analyzed together. Clear trend toward longer survival of patients with low or no SSRP1 expression in tumor samples was seen in several subgroups of patients, and most importantly significant association of high SSRP1 expression with shorter disease-free survival was detected in patients with early-stage and low-grade BrCa, the category of patients with the highest demand in predictive marker of disease progression.
Incorporating Writing in Criminal Justice Curriculum

While the ability to communicate in writing is important for criminal justice professionals, criminal justice educators continue to express concern about the poor writing and analytic skills of their students. To address this problem, instructors should routinely incorporate writing assignments into their classes, thereby providing students the opportunity to develop research and writing skills through practice. Some instructors identify a number of obstacles to assigning more writing, including lack of student interest. This paper describes one professor's experience assigning a series of papers in two small, introductory-level criminology classes (17 and 19 students) and concludes that criminal justice students are not only willing to take classes which include a substantial writing component, but also that they appreciate the professional value of writing about criminal justice issues.
Psychometric Properties of the Multidimensional-Multiattributional Causality Scale

This study investigated the construct validity of the dimensions of Multidimensional-Multiattributional Causality Scale (MMCS) based on Winner’s attribution model in both achievement and affiliation goal domains, using confirmatory factor analysis. Participants were 172 students enrolled in B.Ed and in Diploma Education courses at the University of Auckland. The results indicated that in the affiliation domain, all but stability models exhibited adequate fit, whereas in the achievement domain, only externality, stability, and controllability models showed good fit. This provides partial evidence that the MMCS can be used as a goal-specific measure rather than a general measure.
OASIS integral-field spectroscopy of the central kpc in 11 Seyfert 2 galaxies

We map narrow-line regions (NLRs) of 11 nearby Seyfert 2 galaxies with the optical integral-field spectrograph OASIS mounted at CFHT. We model emission-line profiles of 5 forbidden-line doublets and 2 Balmer lines, correcting for the underlying stellar absorption by reconstructing stellar spectra with synthetic evolutionary stellar population models. For each of the 11 targets, we present 2D maps of surface brightness in the observed emission lines, diagnostic line intensity ratios, gas kinematics (mean line-of-sight velocity and velocity dispersion), electron density, and interstellar reddening, and we plot spatially resolved spectral-diagnostic diagrams. The stellar data are represented by maps of mean line-of-sight (LOS) velocities and of the relative mass fractions of the young stellar populations. The gas velocity fields in 80% of the sample exhibit twisted S-shaped isovelocity contours, which are signatures of non-circular orbits and indicate non-axisymmetric gravitational potentials, gas motions out of the galactic plane, or possible outflows and inflows. Based on the kinematic measurements, we identified a possible nuclear ring or radial gas flow in NGC 262 (Mrk 348), not reported before. Eight of the eleven observed objects exhibit strongly asymmetric or multi-component emission-line profiles, in most cases confined to an elongated region passing through the galactic centre, perpendicular to the major axis of emission.
Using CLIL to enhance pupils’ experience of learning and raise attainment in German and health education: a teacher research project

This paper describes and evaluates an action research project carried out by a teacher in an English comprehensive school, where a class of 13- to 14-year-olds was taught personal, social and health education and German through content–language integrated learning (CLIL) over a six-week period. The purpose of the study was to explore how CLIL would influence both motivation and attainment by giving learners the opportunity (i) to experience language learning with a broader, more applied purpose; (ii) to experience success in TL interactions; and (iii) to use linguistic structures in a more ‘natural’ context. The findings of the study were mixed with regard to motivation, as pupils struggled to equate their continued lack of confidence after a short period of CLIL with their increased academic success. With regard to attainment, the most able pupils exceeded their previous achievements by at least one National Curriculum level, although little improvement was noted in the levels of the less able pupils. This could be attributed to the short time frame of the study, and the resulting lack of confidence referred to above. This research is also evidence of the developing role of practitioner–research in the academic community, the validity and importance ofwhich is also discussed.
A Meta-Analysis of Family Expressiveness and Children's Emotion Expressiveness and Understanding

SUMMARY We assessed associations between family styles of expressing emotion and children's expressive styles and skill in understanding emotion. We used a meta-analytic strategy for synthesizing the studies in these two areas, and we examined moderating variables of emotion valence, age group, and measurement diversity in the relationship between family expressiveness and outcomes in children. For emotional expressiveness, positive family expressiveness and positive children's expressiveness were consistently associated across age, but negative family expressiveness and negative children's expressiveness were linearly and curvilinearly related across age, with a U-shaped relationship. For emotion understanding, positive family expressiveness and children's understanding were not related at any age. Negative and negative-submissive family expressiveness and children's emotion understanding tended to be related across age, both linearly and curvilinearly (an inverted U-shaped relationship). Explanations for these relations and future goals for research are discussed.
Improved Perfect Space-Time Block Codes

Perfect space-time block codes (STBCs) are based on four design criteria-full-rateness, nonvanishing determinant, cubic shaping, and uniform average transmitted energy per antenna per time slot. Cubic shaping and transmission at uniform average energy per antenna per time slot are important from the perspective of energy efficiency of STBCs. The shaping criterion demands that the generator matrix of the lattice from which each layer of the perfect STBC is carved be unitary. In this paper, it is shown that unitariness is not a necessary requirement for energy efficiency in the context of space-time coding with finite input constellations, and an alternative criterion is provided that enables one to obtain full-rate (rate of nt complex symbols per channel use for an nt transmit antenna system) STBCs with larger normalized minimum determinants than the perfect STBCs. Further, two such STBCs, one each for 4 and 6 transmit antennas, are presented and they are shown to have larger normalized minimum determinants than the comparable perfect STBCs which hitherto had the best-known normalized minimum determinants.
Social Classification Occurs at the Subgroup Level

Although the categorization of novel social stimuli according to general qualities of gender, age, and race is known to be automatic and primordial, categorizing stimuli into more specific social subgroups (e.g., hippies or businesswomen) is much more informative and cognitively efficient. In this paper, we show that social stimuli are more likely to be grouped into subgroups with an intermediate degree of specificity than into broad, general categories or narrow, highly specific categories. Furthermore, we show that category membership at the intermediate subgroup level predicts social judgments more efficiently than category membership at a more general or more specific level. We discuss the consequences of our results for social cognition and cognitive categorization.
Country-Specific Associations Made by Consumers: A Dual-Coding Theory Perspective

Extant country-of-origin research has focused on the deliberate use of country-specific associations (CSAs) as a cognitive cue, captured by consumer responses to direct questioning. However, such responses only capture rational and verbally held aspects of CSAs and do not reveal emotional and nonverbally held aspects. Drawing from dual-coding theory, the authors (1) develop propositions about the existence of two distinct types of CSAs (rational and emotional) and the differences in consumers’ communication of these associations, (2) apply a three-stage qualitative design in two complementary studies to test these propositions, (3) link the identified CSAs to brand origin recognition and brand ownership, and (4) generate a consumer typology on how CSAs are communicated. Their results indicate that people tend to communicate rational CSAs verbally and emotional CSAs nonverbally. Whereas both rational and emotional associations positively affect consumers’ brand origin recognition accuracy, only emotional associations affect brand ownership. The authors consider theoretical and managerial implications in light of recent criticism on country-of-origin research and offer suggestions for further research.
The 39-kilodalton outer membrane protein of Proteus mirabilis is an OmpA protein and mitogen for murine B lymphocytes

Partial amino acid sequence analysis of a major outer membrane protein of Proteus mirabilis (39-kDa protein) indicates that it is an OmpA protein. The mitogenic activities of the 39-kDa protein for murine lymphocytes were also investigated with T lymphocytes isolated by passing spleen cells over columns of nylon wool fiber and B lymphocytes obtained by treating spleen cells with monoclonal antibodies to Thy1 plus complement. The 39-kDa protein showed little activity in stimulating T cells to proliferate but was strongly mitogenic for B cells.
European Organisation for the Safety of Air Navigation

These guidelines for Common AIS Staff Profiling (CASP) result from the CASP project, part of the Management Improvement initiative of the AIS AHEAD Programme. Staff Profiling builds upon task information to identify the knowledge, skills and experience (competencies) required for specific job roles. The task information is then further analysed to produce person specifications, job descriptions and to develop selection criteria and identify training needs. Staff Profiling enables Competency Management which requires establishing typical competency inventory information, organisational data (job families, job titles, proficiency standards, employee names, job/role descriptions, individuals’ CVs, and job and assignment history), along with organisation policies, standards, roles, responsibilities, forms and procedures. The challenge for the CASP project while addressing AIS/MAP and associated ARO functions was to produce generic guidelines that are applicable within any ECAC State AIS organisation. The CASP guidelines are composed of this CASP document and its associated CASP Repository. The CASP document gathers the results of the CASP Development Group (CASP-DG) work. It provides mappings of competencies with AIS/MAP work functions, explains the competency management processes, and enables the use and deployment of the CASP Repository. The CASP Repository, a Microsoft Excel database, holds at a functional, generic level the competency information that has been assembled, analysed and validated. CASP was reviewed and updated in 2010 following the INFO06 Focus Group activity.