Miracle-dz/UniFAR-FTUs huggingface dataset:
Construcción y validación del inventario de competencias socioemocionales para adultos (ICSE)

Se presenta la construccion y validacion de un Inventario para medir las Competencias Socioemocionales en adultos (ICSE). De acuerdo a Bisquerra Alzina (2003), tales competencias se definen como un conjunto de conocimientos, capacidades, habilidades y actitudes necesarias para comprender, expresar y regular apropiadamente los fenomenos emocionales. Dado que no existe consenso acerca de las variables que conforman las competencias socioemocionales, se efectuo un analisis de las dimensiones que los principales autores en el tema han investigado, a fin de integrar aquellas que resultaron comunes en los diferentes planteos teoricos. En funcion de este criterio se definio operacionalmente el concepto como un constructo multidimensional conformado por las siguientes dimensiones: asertividad, autoeficacia, autonomia, conciencia emocional, comunicacion expresiva, empatia, optimismo, prosocialidad y regulacion emocional. El proceso de construccion del ICSE siguio los lineamientos de la International Test Commission y comprendio: (a) definicion conceptual y operacional del constructo, (b) elaboracion de los itemes, (c) analisis de la validez de contenido, (d) prueba piloto, (e) analisis y seleccion de reactivos y (f) estudio de las propiedades psicometricas de la version depurada. Se obtuvieron evidencias favorables acerca de la discriminacion de los itemes, validez factorial, validez concurrente y consistencia interna del instrumento. Este inventario puede cubrir un vacio importante ya que no existen instrumentos disenados y validados para medir este construc - to, aportando asi una herramienta valiosa, tanto pa ra ser utilizada en actividades de investigacion como en programas de intervencion y prevencion.
Type-2 Fuzzy Logic Controllers Optimization Using Genetic Algoritms and Particle Swarm Optimization

In this paper we apply bio-inspired optimization methods to design type-2 fuzzy logic controllers (FLC) to minimize the steady state error of linear systems. We test the optimal FLC obtained by the genetic algorithms and the PSO using benchmark plants. The bio-inspired methods are used to find the parameters of the membership functions of the FLC to obtain the optimal controller. Simulation results are implemented in Simulink showing the feasibility of the proposed approach.
The geometry of differential privacy: the sparse and approximate cases

We study trade-offs between accuracy and privacy in the context of linear queries over histograms. This is a rich class of queries that includes contingency tables and range queries and has been the focus of a long line of work. For a given set of d linear queries over a database x ∈ RN, we seek to find the differentially private mechanism that has the minimum mean squared error. For pure differential privacy, [5, 32] give an O(log2 d) approximation to the optimal mechanism. Our first contribution is to give an efficient O(log2 d) approximation guarantee for the case of (ε,δ)-differential privacy. Our mechanism adds carefully chosen correlated Gaussian noise to the answers. We prove its approximation guarantee relative to the hereditary discrepancy lower bound of [44], using tools from convex geometry. We next consider the sparse case when the number of queries exceeds the number of individuals in the database, i.e. when d > n Δ |x|1. The lower bounds used in the previous approximation algorithm no longer apply --- in fact better mechanisms are known in this setting [7, 27, 28, 31, 49]. Our second main contribution is to give an efficient (ε,δ)-differentially private mechanism that, for any given query set A and an upper bound n on |x|1, has mean squared error within polylog(d,N) of the optimal for A and n. This approximation is achieved by coupling the Gaussian noise addition approach with linear regression over the l1 ball. Additionally, we show a similar polylogarithmic approximation guarantee for the optimal ε-differentially private mechanism in this sparse setting. Our work also shows that for arbitrary counting queries, i.e. A with entries in {0,1}, there is an ε-differentially private mechanism with expected error ~O(√n) per query, improving on the ~O(n2/3) bound of [7] and matching the lower bound implied by [15] up to logarithmic factors. The connection between the hereditary discrepancy and the privacy mechanism enables us to derive the first polylogarithmic approximation to the hereditary discrepancy of a matrix A.
Discovery of five very low mass close binaries, resolved in the visible with lucky imaging *

We survey a sample of 32 M5-M8 stars with distance 1 were found, even though our survey is sensitive to Am ≤ 5 (well into the brown dwarf regime). The distribution of orbital radii is in broad agreement with previous results, with most systems at 1-5 au, but one detected binary is very wide at 46.8 ± 5.0 au. We also serendipitously imaged for the first time a companion to Ross 530, a metal-poor single-lined spectroscopic binary. We used the new Lucky Imaging system, LuckyCam, on the 2.5-m Nordic Optical Telescope to complete the 32 very low mass star Sloan Digital Sky Survey (SDSS) i' and z' survey in only 5 h of telescope time.
MOS-AK: Open Compact Modeling Forum Invited IWCM Paper

MOS-AK is an European, independent compact modeling forum created by a group of the engineers, researchers and compact modeling enthusiasts to promote advanced compact modeling techniques and the model standardization using the high level behavioral modeling languages such as VHDL-AMS and Verilog-A. This invited paper summarizes recent MOS-AK activities and presents advanced topics on the MOSEFTs modeling for low power, analog/RF as well as high voltage applications, gate-all-around MOSFETs ballistic nanoscale modeling solutions, multidomain microsystem modeling, discusses links between compact models and design methodologies and finally introduces elements of the compact models standardization. Index Terms — Standard compact model, surface potential based model, charge based model, MOSFET, HVMOS, PIN Diode, VDMOS, IGBT, MCT, VHDL-AMS, Verilog-AMS
Lubeluzole in Acute Ischemic Stroke Treatment: A Double-Blind Study With an 8-Hour Inclusion Window Comparing a 10-mg Daily Dose of Lubeluzole With Placebo

Background and Purpose This trial was a double-blind, placebo-controlled, phase III trial with an 8-hour inclusion window to assess the efficacy and safety of an intravenous loading dose of 7.5 mg followed by a daily intravenous dose of 10 mg lubeluzole for 5 days in acute ischemic stroke patients. Methods A total of 1786 patients were randomized: 901 to lubeluzole and 885 to placebo. Overall, 212 patients (23.5%) from the lubeluzole group and 213 (24.1%) from the placebo group discontinued the trial prematurely. In the lubeluzole group 201 patients (22.3%) discontinued because of adverse events compared with 193 patients (21.8%) in the placebo group. Results The primary population for the efficacy analysis comprised the core stroke patients (exclusion of older patients aged >75 years with severe stroke) in the 0- to 6-hour inclusion time window. The primary efficacy parameter was a 3-category functional status (Barthel Index 70 to 100/0 to 70/vegetative, dead) at week 12. In the lubeluzole group 207 patients (47.8%) were classified as mildly dependent/independent at week 12, 131 (30.3%) were moderately/severely dependent, and 95 (21.9%) were vegetative/dead. In the placebo group these numbers were 221 (54.4%), 112 (27.6%), and 73 (18.0%), respectively. Logistic regression analysis showed no statistically significant difference between the treatment groups (P =0.162). Additionally, for none of the secondary efficacy parameters (mortality at week 12, modified Rankin score, total Barthel score) was a statistically significant difference between the lubeluzole and placebo groups obtained. There were no statistically significant differences between the 2 treatments for all treated patients, patients included within the 6- to 8-hour window, and patients with severe strokes aged >75 years. Overall, of all treated patients, 401 (22.5%) died: 203 (22.5%) in the lubeluzole group and 198 (22.4%) with placebo. Of all subjects treated, 853 (95%) on lubeluzole and 826 (93%) on placebo reported an adverse event during their treatment period or within the next 2 days after discontinuation of treatment. The most frequently observed adverse events were fever (25.9% lubeluzole; 23.4% placebo), constipation (20.2%; 19.7%), and headache (17.6%; 21.2%). Imbalances were found for atrial fibrillation (1.8% lubeluzole; 1.1% placebo) and QT prolongation (0.9%; 0.2%). Conclusions This study failed to show an efficacy of lubeluzole in the treatment of acute stroke. On the other hand, lubeluzole treatment by the current dosage schedule was not associated with a significant safety problem.
Distributed cerebellar plasticity implements multiple-scale memory components of Vestibulo-Ocular Reflex in real-robots

The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. A biological inspired cerebellar model with distributed plasticity has been embedded into a real-time controller of a neurorobot. A cerebellum-driven task has been designed: the Vestibulo-Ocular Reflex (VOR), which produces eye movements stabilizing images on the retina during head movement. The cerebellar controller drives eye compensation, by providing joint torque based on network output activity. We compared a cerebellar controller with only the cortical plasticity and a cerebellar controller with also the plasticity mechanisms at deep nuclei, in VOR multiple sessions. The results were interpreted using a two state multi-rate model integrating two learning processes with different sensitivities to error and different retention strengths. The cerebellar model showed effective learning along task repetitions, allowing a fine timing and gain adaptation based on the head stimulus. The multisite plasticity proved superior to single-site plasticity in generating human-like VOR during acquisition, extinction and consolidation.
Development of probabilistic models for computing optimal distribution substation spare transformers

This paper presents probabilistic models developed based on the Poisson probability distribution for determining the optimal number of transformer spares for distribution transformer systems. The outage of a transformer is a random event and the probability mathematics can best describe this type of failure process. The developed models have been illustrated using illustrative 72-kV distribution transformer systems. Industry-average catastrophic transformer failure rate and a 1-year transformer repair or procurement time have been utilized in the examples considered in the paper. Among the models developed for determining the optimum number of transformer spares, the statistical economics model provides the best result as it attempts to minimize the total system cost including the cost of spares carried in the system.
Bias Reduction and Likelihood Based Almost-Exactly Sized Hypothesis Testing in Predestricted Regressions using the Restricted Likelihood

Difficulties with inference in predictive regressions are generally attributed to strong persistence in the predictor series. We show that the major source of the problem is actually the nuisance intercept parameter, and we propose basing inference on the restricted likelihood, which is free of such nuisance location parameters and also possesses small curvature, making it suitable for inference. The bias of the restricted maximum likelihood (REML) estimates is shown to be approximately 50% less than that of the ordinary least squares (OLS) estimates near the unit root, without loss of efficiency. The error in the chi-square approximation to the distribution of the REML-based likelihood ratio test (RLRT) for no predictability is shown to be null where | ρ | G (·) is the cumulative distribution function (c.d.f.) of a null random variable. This very small error, free of the autoregressive (AR) parameter, suggests that the RLRT for predictability has very good size properties even when the regressor has strong persistence. The Bartlett-corrected RLRT achieves an O ( n −2 ) error. Power under local alternatives is obtained, and extensions to more general univariate regressors and vector AR(1) regressors, where OLS may no longer be asymptotically efficient, are provided. In simulations the RLRT maintains size well, is robust to nonnormal errors, and has uniformly higher power than the Jansson and Moreira (2006, Econometrica 74, 681–714) test with gains that can be substantial. The Campbell and Yogo (2006, Journal of Financial Econometrics 81, 27–60) Bonferroni Q test is found to have size distortions and can be significantly oversized.
Anti-Inflammatory Activity of Sanghuangporus sanghuang Mycelium

Acute lung injury (ALI) is characterized by inflammation of the lung tissue and oxidative injury caused by excessive accumulation of reactive oxygen species. Studies have suggested that anti-inflammatory or antioxidant agents could be used for the treatment of ALI with a good outcome. Therefore, our study aimed to test whether the mycelium extract of Sanghuangporus sanghuang (SS-1), believed to exhibit antioxidant and anti-inflammatory properties, could be used against the excessive inflammatory response associated with lipopolysaccharides (LPS)-induced ALI in mice and to investigate its possible mechanism of action. The experimental results showed that the administration of SS-1 could inhibit LPS-induced inflammation. SS-1 could reduce the number of inflammatory cells, inhibit myeloperoxidase (MPO) activity, regulate the TLR4/PI3K/Akt/mTOR pathway and the signal transduction of NF-κB and MAPK pathways in the lung tissue, and inhibit high mobility group box-1 protein 1 (HNGB1) activity in BALF. In addition, SS-1 could affect the synthesis of antioxidant enzymes Heme oxygenase 1 (HO-1) and Thioredoxin-1 (Trx-1) in the lung tissue and regulate signal transduction in the KRAB-associated protein-1 (KAP1)/nuclear factor erythroid-2-related factor Nrf2/Kelch Like ECH associated Protein 1 (Keap1) pathway. Histological results showed that administration of SS-1 prior to induction could inhibit the large-scale LPS-induced neutrophil infiltration of the lung tissue. Therefore, based on all experimental results, we propose that SS-1 exhibits a protective effect against LPS-induced ALI in mice. The mycelium of S. sanghuang can potentially be used for the treatment or prevention of inflammation-related diseases.
The (ir)resistible rise of agency rents

The rents agents can extract from principals increase with the magnitude of incentive problems, which the literature usually takes as given. We endogenize it, by allowing agents to choose technologies that are more or less opaque and correspondingly prone to agency problems. In our overlapping generations model, agents compete with their predecessors. We study whether the presence of old-timers earning low rents can keep young managers' rent-seeking in check. With dynamic contracts, long horizons help principals incentivize agents. Hence, old agents are imperfect substitutes for young ones. This mutes down competition between generations, especially if compensation deferral is strong. As a result, young managers can opt for more opaque and complex technologies, and therefore larger rents, than their predecessors. Thus, in equilibrium, complexity and rents rise over time.
CONTEXT-AWARE PATIENT GUIDANCE DURING BLOOD PRESSURE SELF-MEASUREMENT

The importance of accurate measurement of blood pressure in the screening and management of hypertension during pregnancy is well established. Blood pressure levels can be measured manually by healthcare staff or by using a blood pressure self-measurement device, either at home or in the clinic. In order to be valid for diagnostic use the patient is required to follow a range of recommendations. However, these recommendations are not always followed. In an observational descriptive study we investigated the effect of introducing active patient guidance by providing contextaware feedback during the blood pressure self-measurement process. Preliminary results indicate that such active and context-aware guidance leads to more reliable measurements by inhibiting non-adherent patient behavior.
Clinical and electrocardiographic covariates of deceleration capacity in patients with ST-segment elevation myocardial infarction.

BACKGROUND Deceleration capacity (DC) is a novel electrocardiography (ECG) parameter characterizing the overall capacity of slowing down the heart rate. The aim of this study was to evaluate clinical and ECG covariates of DC in patients with the first episode of ST-segment elevation myocardial infarction (STEMI) treated with primary angioplasty. METHODS Deceleration capacity, heart rate variability (HRV) and heart rate turbulence (HRT) were assessed from 24-hour ECG Holter recordings in 70 patients (66 male, mean age 57 years) with STEMI. Deceleration capacity was evaluated as continuous or dichotomized (< or = 4.5 vs. > 4.5 ms) variable. RESULTS The median value of DC was 5.12 ms. Thirty patients (43%) had abnormal DC ( < or = 4.5 ms). The abnormal DC was more common in female, older and hypertensive patients. Although DC was not associated with either STEMI localization or left ventricular ejection fraction, it was significantly correlated with mean heart rate, standard HRV indices and HRT slope. Multivariate logistic regression showed that hypertension (OR = 3.23, 95% CI = 1.1-9.9, p = 0.039) and mean heart rate > 70 beats/minute (OR = 6.05, 95% CI = 2.0-18.4, p = 0.001) were independently associated with abnormal DC. CONCLUSIONS Deceleration capacity in patients with the first STEMI treated with primary angioplasty is influenced by age, gender, hypertension and heart rate, but not the location of myocardial infarction or left ventricular ejection fraction. Correlation between DC and HRV indices suggests that DC is related to autonomic modulation of heart rate.
A Proximal-Projection Method for Finding Zeros of Set-Valued Operators

In this paper we study the convergence of an iterative algorithm for finding zeros with constraints for not necessarily monotone set-valued operators in a reflexive Banach space. This algorithm, which we call the proximal-projection method is, essentially, a fixed point procedure, and our convergence results are based on new generalizations of the Browder's demiclosedness principle. We show how the proximal-projection method can be applied for solving ill-posed variational inequalities and convex optimization problems with data given or computable by approximations only. The convergence properties of the proximal-projection method we establish also allow us to prove that the proximal point method (with Bregman distances), whose convergence was known to occur for maximal monotone operators, still converges when the operator involved in it is monotone with sequentially weakly closed graph.
Air Pollution and Vegetation Change in Southern California Coastal Sage Scrub: A Comparison with Chaparral and Coniferous Forest 1

The coastal sage scrub (CSS) vegetation of southern California is rapidly converting to annual grasslands, perhaps in part because of air pollution. By contrast, chaparral and coniferous forest are subject to equally high levels of air pollution but are relatively stable. A comparative analysis of ozone and nitrogen deposition on plants of CSS, exotic annual grassland, chaparral, and coniferous forest shows these vegetation types have different susceptibilities to each pollutant. Historically high concentrations of ozone in the local mountains weakened pines, contributing to tree mortality. Native shrub seedlings had decreased growth in chambers with current-day levels of 150 ppb ozone. Under natural field conditions the shrubs may escape ozone injury by being physiologically active early in the season when ozone concentrations are below phytotoxic levels. Summer-active pines are more susceptible to ozone than summer-deciduous CSS shrubs and senescent annual grasses. Nitrogen deposition has different impacts from ozone because N accumulates on leaf and soil surfaces during the summer. Conifers are more susceptible to leaf-deposited nitric acid because they are physiologically active in summer, while chaparral may be less so because of thick cuticles and reduced summertime activity. Deciduous CSS and senescent grasses are less susceptible to direct leaf damage. However, N becomes available for root uptake after the first fall rains. Soil accumulations up to 87 µg/g extractable N have been measured in surface soil of CSS shrubland, levels that have caused mortality in the greenhouse. Grasses may escape the deleterious effects of high soil N levels because of their annual habit. Coniferous forest may have a higher threshold for N damage because of high stand biomass, high N immobilization in soil organic matter, and watershed N runoff. The resistance of chaparral to high N is less well understood, but may be due to higher biomass and slower growth rates than CSS and also high leachate losses of N.
The Centre for Market and Public Organisation Earnings Mobility and Inequality: an Integrated Framework Earnings Mobility and Inequality: an Integrated Framework

The Centre for Market and Public Organisation (CMPO) is a leading research centre, combining expertise in economics, geography and law. Our objective is to study the intersection between the public and private sectors of the economy, and in particular to understand the right way to organise and deliver public services. The Centre aims to develop research, contribute to the public debate and inform policy-making. CMPO, now an ESRC Research Centre was established in 1998 with two large grants from The Leverhulme Trust. In 2004 we were awarded ESRC Research Centre status, and CMPO now combines core funding from both the ESRC and the Trust. Abstract In this paper we propose an integrated framework for the analysis of earnings inequality and mobility, which enables the analysis of the distributional dimension of inequality reduction from mobility, an assessment of the economic drivers of mobility and a sense of which drivers are equalising and dis-equalising. In particular we are able to capture the extent to which life-cycle characteristics, key life events, job related characteristics, and changes in working time affect overall mobility and inequality. The framework also offers a bounded approach to isolating the underlying inequality reduction resulting from mobility from measurement error which can otherwise lead to a substantial upward bias. Using data from the Australian HILDA survey we find evidence of a sizable degree of earnings mobility in Australia over the years 2001/2 to 2008/9. The raw inequality reduction resulting from economic mobility was 0.148 Gini points from an initial estimate of 0.368, however, the bounded range based on two alternative versions of two stage estimation lies between 0.072 and 0.102 or between ¼ and 1/3 of original inequality. We show how the inequality reduction from mobility is primarily driven in the bottom part of the initial distribution, with the upper tail being particularly prone to measurement issues. A sizeable part of the identified mobility is simply driven by age-earnings growth that sees more rapid wage increases for younger workers and wage progression among women in notably stronger in reducing inequality because they start lower in distribution. Yet this rather smooth picture of earnings rising with age is shown to be substantially driven by a series of less frequent step changes associated with job-to-job moves, promotions and taking on more responsibility. There are also shocks which run against this equalising process, most notably job loss, which has substantial negative effects on …