Miracle-dz/UniFAR-FTUs huggingface dataset:
The reliability and factorial validity of the Swedish version of the Recovery Experience Questionnaire

Abstract Recent research has indicated that recovery from work stress and effort might be crucial for health and well-being. Thus, a valid measurement of recovery becomes important. The main purpose of the present study was to empirically evaluate and seeking support for the hypothesized four-factor model of the Swedish version of Recovery Experience Questionnaire (REQ). The total sample (N = 680) was randomly split into two subsamples. The first subsample was used for finding the best-fitting model using an exploratory factor analysis and the second subsample was used to test the a priori model using confirmatory factor analysis. The results support the proposed four-factor structure of the scale for both males and females. Additionally, apart from high reliability estimates, this instrument proved to have good convergent and discriminant validity for all four factors. Implications for the use of the REQ in conjunction with recovery-focused interventions were discussed, as were limitations such as low response rate.
Personality traits and empathic abilities: a predictive study on medical students

Resumo: Algumas características do médico são importantes para a qualidade da relação que é estabelecida com o paciente. Entre elas, estão a empatia e a personalidade. O principal objetivo deste estudo foi investigar a associação entre empatia e personalidade na população de estudantes de medicina da Universidade Federal de Pernambuco (UFPE). Especialmente se os fatores da empatia podem prever os fatores da personalidade. Os participantes foram 197 alunos do curso de Medicina da UFPE que completaram os instrumentos de autorelatado: Escala Multidimensional de Reatividade Emocional (EMRE) para avaliação da empatia em seus quatro fatores (Consideração Empática, Angústia Pessoal, Fantasia e Tomada de Perspectiva) e Inventário dos Cinco Grandes Fatores da Personalidade (IGFP-5) para investigação dos fatores da personalidade (Neuroticismo, Extroversão, Abertura, Amabilidade e Conscienciosidade). Para avaliar o poder preditivo da empatia sobre personalidade foi realizada a Análise de Regressão, na qual se adotou o método Enter. A MANOVA foi realizada para avaliar a associação de empatia com as variáveis idade, período letivo e gênero, objetivo secundário deste estudo. Os resultados mostraram que Extroversão é predito positivamente pela Consideração Empática e negativamente pela Angústia Pessoal. Amabilidade foi predita por Consideração Empática e Tomada de Perspectiva. Neuroticismo foi predito por Preocupação Empática, e Fantasia foi predito negativamente por Tomada de Perspectiva. Abertura foi predita por Tomada de Perspectiva e nenhuma predição foi encontrada para Conscienciosidade. Os resultados indicaram associação positiva entre empatia e sexo feminino. Como conclusão deste estudo tem-se que determinados fatores da empatia são capazes de predizer fatores da personalidade específicos.
Skybridge: 3-D Integrated Circuit Technology Alternative to CMOS

Continuous scaling of CMOS has been the major catalyst in miniaturization of integrated circuits (ICs) and crucial for global socio-economic progress. However, scaling to sub-20nm technologies is proving to be challenging as MOSFETs are reaching their fundamental limits and interconnection bottleneck is dominating IC operational power and performance. Migrating to 3-D, as a way to advance scaling, has eluded us due to inherent customization and manufacturing requirements in CMOS that are incompatible with 3-D organization. Partial attempts with die-die and layer-layer stacking have their own limitations. We propose a 3-D IC fabric technology, Skybridge[TM], which offers paradigm shift in technology scaling as well as design. We co-architect Skybridge's core aspects, from device to circuit style, connectivity, thermal management, and manufacturing pathway in a 3-D fabric-centric manner, building on a uniform 3-D template. Our extensive bottom-up simulations, accounting for detailed material system structures, manufacturing process, device, and circuit parasitics, carried through for several designs including a designed microprocessor, reveal a 30-60x density, 3.5x performance per watt benefits, and 10X reduction in interconnect lengths vs. scaled 16-nm CMOS. Fabric-level heat extraction features are shown to successfully manage IC thermal profiles in 3-D. Skybridge can provide continuous scaling of integrated circuits beyond CMOS in the 21st century.
Radiation of the blackbody in the external field

The blackbody is considered in the external general field. The additional coefficients of stimulated emission and absorption are introduced into the Einstein mechanism. Then, the generalized Planck formula is derived. The Einstein and Debye formula for the specific heat is possible to generalize. The application of the theory to the sonoluminescence, the relic radiation and solar spectrum is discussed.
A 2.15GBit/s turbo code decoder for LTE advanced base station applications

The LTE standard [1], will soon be upgraded to LTE advanced, which will add new techniques like multi user MIMO using iterative demodulation, cooperative multi point reception (CoMP) and beam forming to increase the system throughput in the uplink of one cell. An eNodeB supporting multiple cells will require a throughput of multiple GBit/s. Thus a turbo code decoder with a very high throughput target while maintaining an excellent communications performance is required. The major challenge is the support of very high code rates and the stringent latency requirements. We present the first LTE advanced compliant LTE turbo code decoder with a throughput of 2.15GBit/s at frequency of 450MHz and area of 7.7mm2 in a 65nm process node with worst case P&R constraints. The decoder can perform 6 full iterations at a large window size of 192 at full throughput, which results in a highly competitive communications performance.
Implementing Strong Teens for Adolescent Girls in Residential Treatment: A Quasi-Experimental Evaluation

ABSTRACT Adolescents in residential treatment centers (RTCs) often have a severe mental illness as well as significant deficits in their social competencies. Strong Teens is a social and emotional learning (SEL) curriculum designed to decrease internalizing disorders by promoting emotional resilience and social competence. The curriculum has shown promising effects in educational settings. This study is the second to implement Strong Teens in residential treatment with high-risk adolescents. Using a quasi-experimental wait-list control design, therapists implemented Strong Teens with 36 adolescent girls in an RTC during group therapy. The researchers assessed changes in social and emotional knowledge, internalizing symptoms, and resilience using a split-plot repeated measures ANOVA, paired samples t-tests, and effect sizes. Although results indicated that Strong Teens did not affect the girls’ social and emotional knowledge, the intervention did show evidence of reducing their internalizing symptoms and increasing their resilience. In a social validity survey, most group therapists agreed with the goals and procedures of the curriculum but were less certain regarding the outcomes. We recommend that future studies of this population investigate which SEL topics are most suitable, identify the most favorable lesson times for RTC implementation, and explore student perspectives and experiences with Strong Teens.
Beyond the Memory Mechanism: Person-selective and Nonselective Processes in Recognition of Personally Familiar Faces

Special processes recruited during the recognition of personally familiar people have been assumed to reflect the rich episodic and semantic information that selectively represents each person. However, the processes may also include person nonselective ones, which may require interpretation in terms beyond the memory mechanism. To examine this possibility, we assessed decrease in differential activation during the second presentation of an identical face (repetition suppression) as an index of person selectivity. During fMRI, pictures of personally familiar, famous, and unfamiliar faces were presented to healthy subjects who performed a familiarity judgment. Each face was presented once in the first half of the experiment and again in the second half. The right inferior temporal and left inferior frontal gyri were activated during the recognition of both types of familiar faces initially, and this activation was suppressed with repetition. Among preferentially activated regions for personally familiar over famous faces, robust suppression in differential activation was exhibited in the bilateral medial and anterior temporal structures, left amygdala, and right posterior STS, all of which are known to process episodic and semantic information. On the other hand, suppression was minimal in the posterior cingulate, medial prefrontal, right inferior frontal, and intraparietal regions, some of which were implicated in social cognition and cognitive control. Thus, the recognition of personally familiar people is characterized not only by person-selective representation but also by nonselective processes requiring a research framework beyond the memory mechanism, such as a social adaptive response.
Heterogeneous cross-company defect prediction by unified metric representation and CCA-based transfer learning

Cross-company defect prediction (CCDP) learns a prediction model by using training data from one or multiple projects of a source company and then applies the model to the target company data. Existing CCDP methods are based on the assumption that the data of source and target companies should have the same software metrics. However, for CCDP, the source and target company data is usually heterogeneous, namely the metrics used and the size of metric set are different in the data of two companies. We call CCDP in this scenario as heterogeneous CCDP (HCCDP) task. In this paper, we aim to provide an effective solution for HCCDP. We propose a unified metric representation (UMR) for the data of source and target companies. The UMR consists of three types of metrics, i.e., the common metrics of the source and target companies, source-company specific metrics and target-company specific metrics. To construct UMR for source company data, the target-company specific metrics are set as zeros, while for UMR of the target company data, the source-company specific metrics are set as zeros. Based on the unified metric representation, we for the first time introduce canonical correlation analysis (CCA), an effective transfer learning method, into CCDP to make the data distributions of source and target companies similar. Experiments on 14 public heterogeneous datasets from four companies indicate that: 1) for HCCDP with partially different metrics, our approach significantly outperforms state-of-the-art CCDP methods; 2) for HCCDP with totally different metrics, our approach obtains comparable prediction performances in contrast with within-project prediction results. The proposed approach is effective for HCCDP.
A Low Percent Ethanol Method for Immobilizing Planarians

Planarians have recently become a popular model system for the study of adult stem cells, regeneration and polarity. The system is attractive for both undergraduate and graduate research labs, since planarian colonies are low cost and easy to maintain. Also in situ hybridization, immunofluorescence and RNA-interference (RNAi) gene knockdown techniques have been developed for planarian studies. However, imaging of live worms (particularly at high magnifications) is difficult because animals are strongly photophobic; they quickly move away from light sources and out of frame. The current methods available to inhibit movement in planarians include RNAi injection and exposure to cold temperatures. The former is labor and time intensive, while the latter precludes the use of many fluorescent reporter dyes. Here, we report a simple, inexpensive and reversible method to immobilize planarians for live imaging. Our data show that a short 1 hour treatment with 3% ethanol (EtOH) is sufficient to inhibit both the fine and gross movements of Schmidtea mediterranea planarians, of the typical size used (4–6 mm), with full recovery of movement within 3–4 hours. Importantly, EtOH treatment did not interfere with regeneration, even after repeated exposure, nor lyse epithelial cells (as assayed by H&E staining). We demonstrate that a short exposure to a low concentration of EtOH is a quick and effective method of immobilizing planarians, one that is easily adaptable to planarians of all sizes and will increase the accessibility of live imaging assays to planarian researchers.
Biological and Phylogenetic Characteristics of Yellow Fever Virus Lineages from West Africa

ABSTRACT The yellow fever virus (YFV), the first proven human-pathogenic virus, although isolated in 1927, is still a major public health problem, especially in West Africa where it causes outbreaks every year. Nevertheless, little is known about its genetic diversity and evolutionary dynamics, mainly due to a limited number of genomic sequences from wild virus isolates. In this study, we analyzed the phylogenetic relationships of 24 full-length genomes from YFV strains isolated between 1973 and 2005 in a sylvatic context of West Africa, including 14 isolates that had previously not been sequenced. By this, we confirmed genetic variability within one genotype by the identification of various YF lineages circulating in West Africa. Further analyses of the biological properties of these lineages revealed differential growth behavior in human liver and insect cells, correlating with the source of isolation and suggesting host adaptation. For one lineage, repeatedly isolated in a context of vertical transmission, specific characteristics in the growth behavior and unique mutations of the viral genome were observed and deserve further investigation to gain insight into mechanisms involved in YFV emergence and maintenance in nature.
Onset of secondary progressive phase and long-term evolution of multiple sclerosis

Objectives To assess factors affecting the rate of conversion to secondary progressive (SP) multiple sclerosis (MS) and its subsequent evolution. Methods Among 806 patients with relapsing remitting (RR) onset MS from the London Ontario database, we used Kaplan–Meier, Cox regression and multiple logistic regression analyses to investigate the effect of baseline clinical and demographic features on (1) the probability of, and the time to, SP disease, (2) the time to bedbound status (Disability Status Scale (DSS 8)) from onset of progression. Results The risk of entering the SP phase increased proportionally with disease duration (OR=1.07 for each additional year; p<0.001). Shorter latency to SP was associated with shorter times to severe disability. The same association was found even when patients were grouped by number of total relapses before progression. However, the evolution of the SP phase was not influenced by the duration of the RR phase. Male sex (HR=1.41; p<0.001), older age at onset (age ≤20 and 21–30 vs >30 HR=0.52 (p<0.001), 0.65 (p<0.001), respectively) and high early relapse frequency (1–2 attacks vs ≥3 HR=0.63 (p<0.001), 0.75 (p=0.04), respectively) predicted significantly higher risk of SP MS and shorter latency to progression. Times to DSS 8 from onset of progression were significantly shorter among those with high early relapse frequency (≥3 attacks), and among those presenting with cerebellar and brainstem symptoms. Conclusions The onset of SP MS is the dominant determinant of long-term prognosis, and its prevention is the most important target measure for treatment. Baseline clinical features of early relapse frequency and age at onset can be used to select groups at higher risk of developing severe disability based on the probability of their disease becoming progressive within a defined time period.
What is the largest Einstein radius in the universe

The Einstein radius plays a central role in lens studies as it characterizes the strength of gravitational lensing. In particular, the distribution of Einstein radii near the upper cutoff should probe the probability distribution of the largest mass concentrations in the universe. Adopting a triaxial halo model, we compute expected distributions of large Einstein radii. To assess the cosmic variance, we generate a number of Monte-Carlo realizations of all-sky catalogues of massive clusters. We find that the expected largest Einstein radius in the universe is sensitive to parameters characterizing the cosmological model, especially {sigma}{sub s}: for a source redshift of unity, they are 42{sub -7}{sup +9}, 35{sub -6}{sup +8}, and 54{sub -7}{sup +12} arcseconds (errors denote 1{sigma} cosmic variance), assuming best-fit cosmological parameters of the Wilkinson Microwave Anisotropy Probe five-year (WMAP5), three-year (WMAP3) and one-year (WMAP1) data, respectively. These values are broadly consistent with current observations given their incompleteness. The mass of the largest lens cluster can be as small as {approx} 10{sup 15} M{sub {circle_dot}}. For the same source redshift, we expect in all-sky {approx} 35 (WMAP5), {approx} 15 (WMAP3), and {approx} 150 (WMAP1) clusters that have Einstein radii larger than 2000. For a larger source redshift of 7,more » the largest Einstein radii grow approximately twice as large. While the values of the largest Einstein radii are almost unaffected by the level of the primordial non-Gaussianity currently of interest, the measurement of the abundance of moderately large lens clusters should probe non-Gaussianity competitively with cosmic microwave background experiments, but only if other cosmological parameters are well-measured. These semi-analytic predictions are based on a rather simple representation of clusters, and hence calibrating them with N-body simulations will help to improve the accuracy. We also find that these 'superlens' clusters constitute a highly biased population. For instance, a substantial fraction of these superlens clusters have major axes preferentially aligned with the line-of-sight. As a consequence, the projected mass distributions of the clusters are rounder by an ellipticity of {approx} 0.2 and have {approx} 40%-60% larger concentrations compared with typical clusters with similar redshifts and masses. We argue that the large concentration measured in A1689 is consistent with our model prediction at the 1.2{sigma} level. A combined analysis of several clusters will be needed to see whether or not the observed concentrations conflict with predictions of the at {Lambda}-dominated cold dark matter model. « less
For Better and for Worse? Effects of Access to High-Cost Consumer Credit

I provide empirical evidence that the effect of high-cost credit access on household material well-being depends on if a household is experiencing temporary financial distress. Using detailed data on household consumption and location, as well as geographic variation in access to high cost payday loans over time, I find that payday credit access improves wellbeing for households in distress by helping them smooth consumption. In periods of temporary financial distress—after extreme weather events like hurricanes and blizzards—I find that payday loan access mitigates declines in spending on food, mortgage payments, and home repairs. In an average period, however, I find that access to payday credit reduces well-being. Loan access reduces spending on nondurable goods overall and reduces housing- and food-related spending particularly. These results highlight the state dependent nature of the effects of high-cost credit as well as the consumption-smoothing role that it plays for households with limited access to other forms of credit.
Painlevé Representation of Tracy–Widom β Distribution for β = 6

: In Rumanov (J Math Phys 56:013508, 2015), we found explicit Lax pairs for the soft edge of beta ensembles with even integer values of β . Using this general result, the case β = 6 is further considered here. This is the smallest even β , when the corresponding Lax pair and its relation to Painlevé II (PII) have not been known before, unlike cases β = 2 and 4. It turns out that again everything can be expressed in terms of the Hastings–McLeod solution of PII. In particular, a second order nonlinear ordinary differential equation (ODE) for the logarithmic derivative of Tracy–Widom distribution for β = 6 involving the PII function in the coefﬁcients is found, which allows one to compute asymptotics for the distribution function. The ODE is a consequence of a linear system of three ODEs for which the local singularity analysis yields series solutions with exponents in the set 4 / 3, 1 / 3 and − 2 / 3.
RELIGIOUS BELIEFS AND THE UTILIZATION OF TRADITIONAL MEDICINE AMONG MEMBERS OF PENTECOSTAL CHURCHES IN EMURIN, OGUN

This study aims at determining the religiou medicine among members of Pentecostal Churches in Emure. The study was carried out using quota sampling technique. A semi containing 31 questions and an in used simultaneously to elicit information from church members. The research hypothesized that there was a significant relationship between the use of traditional medicine and the sex of respondents. Also there exists a significant relationshi between the denomination of respondents and the use of traditional medicine. Since p-value was greater than 0.05, both hypotheses were accepted. However it was discovered that 65.3% would opt for divine healing/prayers when initially confronted with illness.
Replicated Computational Results (RCR) Report for “Automatic Moment-Closure Approximation of Spatially Distributed Collective Adaptive Systems”

“Automatic Moment-Closure Approximation of Spatially Distributed Collective Adaptive Systems” by Feng, Hilston, and Galpin presents detailed simulation analysis results for three models of spatially distributed collective adaptive systems. In this replicated computational results report, the corresponding implementation together with a documentation that was provided to the reviewer by the authors are considered. The software was installed, and new simulation results were generated and compared to the original results. The installation of the software did not result in any problems, and the comparison of the results yielded that the published results are replicable.
Strategic Moves and Organizational Survival in Turbulent Environments

The main purpose of this paper is to examine the effect of strategic moves on the likelihood of organizational survival in a population of firms which has undergone continuous and radical transformations in its environment. To this end, the authors propose and test two competitive hypotheses which are the result of two other theoretical perspectives about the consequences of strategic change: the adaptation view (classic strategic management and dynamic capabilities) and the ecological approach. While from the former strategic change has a positive effect on the likelihood of organizational survival, from the ecological approach, strategic change implies an increase in the likelihood of organizational extinction. The sample used to test the two proposed hypotheses is the Spanish private banks population over the period 1983-1997. The results confirm the negative effect of strategic change on the likelihood of organizational extinction, in line with the conclusions of the adaptive perspective and other research carried out in different settings. This paper introduces two important methodological innovations: (a) the definition and measurement of strategic change by using a new cluster algorithm, MCLUST; and (b) the control of the non-observable heterogeneity using panel data models for logit regression.