Miracle-dz/UniFAR-FTUs huggingface dataset:
Propiedades psicométricas del test de adjetivos de Pitcher para la evaluación del liderazgo

The psychometric properties of Pitcher Adjective Test, to assess leadership, were obtained. Participants were 400 health workers in the cities of Bogota, Cali, Bucaramanga and Barranquilla, in Colombia. By applying a logistic model, with difficulty and discrimination parameters, they were analyzed the properties of the items. The function of information of the test resulted more informative at the intermediate level (from -1.4 to 1.6), the indicators of difficulty and discrimination, were appropriate. A marginal reliability coefficient of . 94 was obtained. Multiple correspondence analysis drew a two-dimension solution of leadership and by a latent class analysis, with a partial credit model, participants were classified into three leadership styles. According to this, it is concluded that psychometric properties are appropriate, and Pitcher Adjective Test is of interest, yielding a classification that does not correspond with those commonly used.
An older adult perspective on digital legacy

A number of technologies have been developed to help users manage their digital legacy, however few user contributions in this space have been solicited from older adults. This is surprising given that older people may have to cope with a digital inheritance but be poorly equipped to do so. The current paper describes three phases of research that explore older adults understanding of and preferences for digital legacy. In phase I, we conducted a large-scale scoping exercise designed to elicit relevant scenarios around digital legacy. In phase II, we presented older adults with a selection of legacy prompts and provocations in order to promote a discussion of digital bequests. In phase III we used life-logging scenarios as prompts in an inter-generational workshop designed to elicit discussion between digital natives and older adults. This work contributes to our understanding of digital legacy from the perspective of older adults and emphasises the importance they place on family, personalisation and control of digital legacy support.
The Long-Run Labor-Market Consequences of Civil War: Evidence from the Shining Path in Peru

This study exploits district-level variation in the timing and intensity of civil war violence to investigate whether early life exposure to civil wars affects labor-market outcomes later in life. In particular, we examine the impacts of armed conflict in Peru, a country that experienced the actions of a tenacious, brutally effective war machine, the Shining Path, between 1980 and 1995. This study finds that the most sensitive period to early life exposure to civil war violence is the first 36 months of life. A 1 standard deviation increase in civil war exposure leads to a 5% fall in adult monthly earnings, 3.5% reduction in the probability of working in formal jobs, and 6% reduction in the probability of working in large firms. Substantial heterogeneity in the earnings impacts emerges when considering variation in the type of civil war violence. Overall, forced disappearances emerge as the most hurtful measure of violence in the long run. Sexual violations disproportionately affected the wages of women, while torture and forced disappearances disproportionately affected the wages of men. Evidence on intervening pathways suggests that short-run health along with schooling and household wealth are important channels in connecting early life exposure to civil war and adult earnings.
Child-directed speech: relation to socioeconomic status, knowledge of child development and child vocabulary skill*

ABSTRACT This study sought to determine why American parents from different socioeconomic backgrounds communicate in different ways with their children. Forty-seven parent–child dyads were videotaped engaging in naturalistic interactions in the home for ninety minutes at child age 2 ; 6. Transcripts of these interactions provided measures of child-directed speech. Children's vocabulary comprehension skills were measured using the Peabody Picture Vocabulary Test at 2 ; 6 and one year later at 3 ; 6. Results indicate that: (1) child-directed speech with toddlers aged 2 ; 6 predicts child vocabulary skill one year later, controlling for earlier toddler vocabulary skill; (2) child-directed speech relates to socioeconomic status as measured by income and education; and (3) the relation between socioeconomic status and child-directed speech is mediated by parental knowledge of child development. Potential mechanisms through which parental knowledge influences communicative behavior are discussed.
Negative Caregiving Experience: A Predictor of High Expressed Emotion Among Caregivers of Relatives With Schizophrenia

With the advent of deinstitutionalization, caregivers have increasingly assumed greater responsibility for the care of their mentally ill relatives, with the consequent negative caregiving experience a likely cause of stress manifested in heightened expressed emotion (EE). This article reports the findings of a survey to identify predictors of high EE among caregivers of relatives with schizophrenia based on the stress-coping model. Caregivers' appraisal of difficult behaviors and dependency were identified as the primary predictor of critical comments and emotional overinvolvement, respectively. Implications for clinical intervention, policy changes, and future research are discussed.
Obesity and sexual dysfunction in younger Danish men.

INTRODUCTION Proportion of populations that are overweight and obese are on the rise and generally affecting more than 50% of the adult Western male population. It is, therefore, of interest to look at possible associations between obesity and sexual function in a homogeneous population. AIM To examine a possible association between sexual disorders (erectile dysfunction, ejaculatory disorders, and sexual desire disorders) and obesity among younger men born and living in Denmark. METHODS A community-based cross-sectional study of sexual health among Danish younger men. Questionnaires were mailed to 3,300 men, aged 20-45 years and divided into six 5-year age cohorts. Odds ratios were calculated using logistic regression modeling. In total, 863 men (26%) responded anonymously. A similar set of data from 600 older men aged 50-75 years and from same community was used for comparison. MAIN OUTCOME MEASURES The associations between self-reported erectile, ejaculatory and desire disorders, and body mass index (BMI) were examined, stratified by age group and smoking status. RESULTS The material was found to be generally representative of the Danish population of men of similar age in regard to height, weight, smoking status, and alcohol consumption. Erectile dysfunction (ED) was more prevalent among these younger and older men with higher BMI, but only significant among men 20-45 years old, with an odds ratio of 2.74 (95% confidence interval 1.1-6.8). The prevalence of ED was higher among the younger obese nonsmokers than obese smokers. Premature ejaculation, retarded ejaculation, and sexual desire disorders were all unrelated to overweight or obesity. CONCLUSION Obesity (BMI > or = 30 kg/m(2)) seems associated with ED among younger men aged 20-45 years. Health programs directed toward preventing obesity in younger men may benefit from informing about an almost three-fold occurrence of erectile dysfunction associated with obesity.
Multiobjective economic model predictive control of mechanical pulping processes

We present a multiobjective economic model predictive control (m-econ MPC) strategy to mitigate high electrical energy demands of a two-stage mechanical pulping (MP) process. The nonlinear MP process considered in this paper consists of a primary and a secondary refiner. In the proposed m-econ MPC technique, economic performance is optimized during dynamic transitions while a stabilizing constraint is used to ensure convergence to steady-state operating points. Through simulations, we demonstrate that the m-econ MPC can reduce the energy consumed by mechanical pulping processes by up to 27%.
Kernel Manifold Alignment for Domain Adaptation

The wealth of sensory data coming from different modalities has opened numerous opportunities for data analysis. The data are of increasing volume, complexity and dimensionality, thus calling for new methodological innovations towards multimodal data processing. However, multimodal architectures must rely on models able to adapt to changes in the data distribution. Differences in the density functions can be due to changes in acquisition conditions (pose, illumination), sensors characteristics (number of channels, resolution) or different views (e.g. street level vs. aerial views of a same building). We call these different acquisition modes domains, and refer to the adaptation problem as domain adaptation. In this paper, instead of adapting the trained models themselves, we alternatively focus on finding mappings of the data sources into a common, semantically meaningful, representation domain. This field of manifold alignment extends traditional techniques in statistics such as canonical correlation analysis (CCA) to deal with nonlinear adaptation and possibly non-corresponding data pairs between the domains. We introduce a kernel method for manifold alignment (KEMA) that can match an arbitrary number of data sources without needing corresponding pairs, just few labeled examples in all domains. KEMA has interesting properties: 1) it generalizes other manifold alignment methods, 2) it can align manifolds of very different complexities, performing a discriminative alignment preserving each manifold inner structure, 3) it can define a domain-specific metric to cope with multimodal specificities, 4) it can align data spaces of different dimensionality, 5) it is robust to strong nonlinear feature deformations, and 6) it is closed-form invertible, which allows transfer across-domains and data synthesis. To authors’ knowledge this is the first method addressing all these important issues at once. We also present a reduced-rank version of KEMA for computational efficiency, and discuss the generalization performance of KEMA under Rademacher principles of stability. Aligning multimodal data with KEMA reports outstanding benefits when used as a data pre-conditioner step in the standard data analysis processing chain. KEMA exhibits very good performance over competing methods in synthetic controlled examples, visual object recognition and recognition of facial expressions tasks. KEMA is especially well-suited to deal with high-dimensional problems, such as images and videos, and under complicated distortions, twists and warpings of the data manifolds. A fully functional toolbox is available at https://github.com/dtuia/KEMA.git.
Obsessive-compulsive disorder in children and adolescents

Background Obsessive-compulsive disorder (OCD) is a common psychiatric condition that usually emerges during childhood or adolescence. Over 80% of individuals with OCD have their onset before age 18 years. Epidemiologic studies suggest a prevalence of 1 -2 for adolescents. Method This article reviews current knowledge of paediatric OCD in the following areas: age of onset, nosology and classification, subtypes, prevalence, aetiology, pathophysiology, assessment, prognosis and treatment. Results Essential components of treatment include long-term commitment, care management and illness education. Specific components of treatment include cognitive-behavioural therapy, parent behaviour management training and medication. Conclusions The most effective treatments are selective serotonin reuptake inhibitors (e.g. fluvoxamine, sertraline) and exposure/response prevention.
Phase Responses to Light Pulses in Mice Lacking Functional per or cry Genes

The phase-resetting properties of the circadian system in mice with a functional deletion in mCry1, mCry2, mPer1, or mPer2 were studied in 2 experiments. In experiment 1, mCry1 -/- and mCry2 -/- mice as well as mPer1 Brdm1 and mPer2 Brdm1 mutant mice were exposed to 15-min light pulses during the 1st cycle following entrainment, either early (external time [ExT] 20) or late (ExT 4) in the subjective night. In experiment 2, a full PRC was measured for all these strains by exposure to light pulses of the same duration and intensity in free-running conditions in constant darkness. Directly after entrainment (experiment 1), mPer1 Brdm1 animals did not show significant phase advances by a light pulse in the late subjective night (ExT 4), as in the study by Albrecht et al. In the same experiment, mPer2 Brdm1 mice became arrhythmic too frequently to reliably measure their phase responses. Mice with a targeted gene disruption in mCry1 or mCry2 showed increased phase delays compared to wild type after exposure to a light pulse in the early subjective night (ExT 20). Otherwise, phase shifts were not significantly affected. In free run (experiment 2), all genotypes did show phase advances and phase delays. The mPer2 Brdm1 mutant PRC was above the mPer1 Brdm1 mutant and wild-type PRC (i.e., less delayed and more advanced) at most circadian phases. The mPer1 Brdm1 mutant PRC was not distinguishable from the wildtype PRC. The mCry2 -/- mice showed much smaller phase delays than did mCry1 -/- mice in the subjective evening (delay phase). In general, mPer2 Brdm1 mutant mice were more accelerated by light compared to mPer1 Brdm1 and wildtype control mice, whereas mCry1 -/- mice were more delayed by light than were mCry2 -/- mice.
Development of radioimmunoassayable beta-endorphin and methionine-enkephalin binding sites in regions of rat brain.

The development profiles of [3H]methionine-enkephalin ([3H]Met-enk) binding sites and radioimmunoassayable (RIA) beta-endorphin in regions of rat brain were determined. The amount [3H]Met-enk bound reached its maximum in the 1st week after birth in the cerebellum, in the brainstem at the 2nd week, and in the whole forebrain at the 3rd week, that of RIA beta-endorphin reached its highest level at day 2 postpartum (p.p.) in the cerebellum. at days 7-15 p.p. in the whole forebrain, and at days 17-21 p.p. in the brainstem. These findings suggest that both the development of RIA beta-endorphin and [3H]met-enk sites in rat brain follow a caudal to rostral sequence. Also, the close interrelationship between the elevation and decline in the amount of [3H]Met-enk bound and RIA beta-endorphin levels in each brain region suggests that these two components are important entities of the central nervous system.
Collaborative Mapping of a Parametric Design Space

We utilize a high-dimensional parametric design space to support a novel and intuitive method for 3D modeling. Users visually explore the design space and pick models using a continuous, map-like interface. We leverage models created by the user community to learn underlying structure in the space via kernel density estimation. This mapping of the space is maintained by a server that synchronizes all the deployed design tools. The tools leverage the mapping to allow users with no prior modeling experience to easily create unique designs by interpolating between and extrapolating from landmark models. The result is a self-reinforcing design system that becomes easier to use as more people participate. Our prototype tree modeling tool was downloaded by over six thousand users from more than eighty countries in the month following its release. Over fifteen hundred trees were voluntarily picked from the roughly hundred dimensional tree space. We report on usage patterns gathered through this deployment and on subsequent user surveys.
Rat Serum Carboxylesterase

Multiple forms of carboxylesterase have been identified in rat liver, and five carboxylesterases (designated hydrolases A, B, C, S, and egasyn) have been cloned. Hydrolases A, B, C and egasyn all have a C-terminal consensus sequence (HXEL) for retaining proteins in the endoplasmic reticulum, and these carboxylesterases are found in rat liver microsomes. In contrast, hydrolase S lacks this C-terminal consensus sequence and is presumed to be secreted. In order to test this hypothesis, a polyclonal antibody was raised against recombinant hydrolase S from cDNA-directed expression in Escherichia coli. In addition to hydrolases A, B, and C (57-59 kDa), this antibody recognized a 67-kDa protein in rat liver microsomes and a 71-kDa protein in rat serum. The 71-kDa protein detected in rat serum was also detected in the extracellular medium from primary cultures of rat hepatocytes. Non-denaturing gel electrophoresis with staining for esterase activity showed that a serum carboxylesterase comigrated with the 71-kDa protein. Immunoprecipitation of the 71-kDa enzyme from rat serum decreased esterase activity toward 1-naphthylacetate and para-nitrophenylacetate. The 71-kDa protein immunoprecipitated from rat serum had an N-terminal amino acid sequence identical to that predicted from the cDNA encoding hydrolase S, providing further evidence that hydrolase S is synthesized in and secreted by the liver. The levels of the 67-kDa protein in rat liver microsomes and the levels of the 71-kDa protein in rat serum were co-regulated. Deglycosylation of microsomes and serum converted the 67- and 71-kDa proteins to a 58-kDa peptide, which matches the molecular mass calculated from the cDNA for hydrolase S. These results suggest that the 67-kDa protein in liver microsomes is a precursor form of hydrolase S that undergoes further glycosylation before being secreted into serum. In rats, liver appears to be the only source of hydrolase S because no mRNA encoding hydrolase S could be detected in several extrahepatic tissues. Serum carboxylesterases have been found to play an important role in lipid metabolism and detoxication of organophosphates, therefore, the secretion of hydrolase S and the modulation of its expression by xenobiotics may have physiological as well as toxicological significance.
Saphenous nerve injury after endovenous laser ablation of incompetent greater saphenous vein: An electroneuromyography study

Aim To determine whether endovenous laser ablation of incompetent greater saphenous vein causes a detectable impairment in saphenous nerve conduction. Material and methods Thirty-five patients (mean age: 44.78 ± 8.6, male/female ratio: 16/19) who were operated on for incompetent greater saphenous veins, underwent electroneuromyography before and two weeks after the operation. Dysesthesia was questioned as to whether having unpleasant abnormal sensation after the operation. Positive electroneuromyography findings for saphenous nerve injury included a sensory nerve action potential amplitude <2 µV or a nerve conduction velocity <48.0 m/s or a latency onset >5.0 ms. Results Thirty-four patients were available at two-week follow-up. All patients achieved complete proximal closure. Three patients (8.8%) had dysesthesia at two weeks. Mean electroneuromyography values were not significantly different between preoperative and postoperative period. Postoperatively, none of the patients had abnormal sensory nerve action potential or latency onset, whereas nerve conduction velocity decreased below the lower limit in two patients. These two patients were not among those having dysesthesia and they had no other complaints. Conclusion Injury to saphenous nerve seems not likely during endovenous laser ablation of incompetent greater saphenous veins, as evidenced by normal electroneuromyography values found after the operation.
Weighted Frequent Gene Co-expression Network Mining to Identify Genes Involved in Genome Stability

Gene co-expression network analysis is an effective method for predicting gene functions and disease biomarkers. However, few studies have systematically identified co-expressed genes involved in the molecular origin and development of various types of tumors. In this study, we used a network mining algorithm to identify tightly connected gene co-expression networks that are frequently present in microarray datasets from 33 types of cancer which were derived from 16 organs/tissues. We compared the results with networks found in multiple normal tissue types and discovered 18 tightly connected frequent networks in cancers, with highly enriched functions on cancer-related activities. Most networks identified also formed physically interacting networks. In contrast, only 6 networks were found in normal tissues, which were highly enriched for housekeeping functions. The largest cancer network contained many genes with genome stability maintenance functions. We tested 13 selected genes from this network for their involvement in genome maintenance using two cell-based assays. Among them, 10 were shown to be involved in either homology-directed DNA repair or centrosome duplication control including the well- known cancer marker MKI67. Our results suggest that the commonly recognized characteristics of cancers are supported by highly coordinated transcriptomic activities. This study also demonstrated that the co-expression network directed approach provides a powerful tool for understanding cancer physiology, predicting new gene functions, as well as providing new target candidates for cancer therapeutics.
Non-Hyperbolic Dynamics: a Family of Special Functions 1

The last twenty years have seen an explosion of interest in the study of non-linear systems. Discrete dynamical systems, in particular one–dimensional,have been the subject of much active research, but only few results are knownto be valid in any dimension. Moreover, very little is known so far on non–hyperbolic dynamics [1–4]. In this paper we introduce some theorems for a class of non–hyperbolicﬁxed points on R
Wavefront Engineering with Phase Discontinuities: Designer Interfaces for High Performance Planar Optical Components

Abstract : The PI and his group opened up new directions of research: the generation of vector beams with metasurfaces that control amplitude, phase andpolarization of wavefronts, the detection of wavefronts using metasurfaces, new metasurfaces for controlling surface plasmon wavefronts and highperformance device applications of metasurfaces on graphene. In the vector beam area they generated radially polarized light with a singlenanostructured metasurface and showed broadband operation from the visible to the near infrared. The PIs team designed holographic metasurfacesthat detect the orbital angular momentum of vortex beams and integrated them into commercial silicon photodiodes. They studied surfaceplasmon wakes, showing that they can be steered using a one dimensional metamaterial made of rotated apertures, and demonstrated fishboneplasmonic couplers that enable polarization-controlled tunable directional coupling of light into surface plasmon polaritons. Both bidirectionaland unidirectional launching of the latter were demonstrated along with polarization-selective coupling in dielectric waveguide withembedded fishbone couplers. They investigated metasurfaces on graphene and observed greatly enhanced performance in detectors and modulators.
Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection

Hedge cues were detected using a supervised Conditional Random Field (CRF) classifier exploiting features from the RASP parser. The CRF's predictions were filtered using known cues and unseen instances were removed, increasing precision while retaining recall. Rules for scope detection, based on the grammatical relations of the sentence and the part-of-speech tag of the cue, were manually-developed. However, another supervised CRF classifier was used to refine these predictions. As a final step, scopes were constructed from the classifier output using a small set of post-processing rules. Development of the system revealed a number of issues with the annotation scheme adopted by the organisers.