Miracle-dz/UniFAR-FTUs huggingface dataset:
Flutuações na produção industrial gaúcha e o cenário recessivo pós 2014

Este artigo objetiva estudar as flutuacoes na producao industrial gaucha, primeiramente, comparando seus movimentos com os periodos de recessao na economia brasileira, datados pelo Comite de Datacao de Ciclos Economicos (Codace), do Instituto Brasileiro de Economia (Ibre), da Fundacao Getulio Vargas (FGV), e, adicionalmente, por meio de metodos de filtragem — especificamente pelo filtro Hodrick-Prescott. Em complemento, apresentam-se, tambem, alguns indicadores selecionados relacionados ao setor. Por fim, utilizando-se dados da Federacao das Industrias do Estado do Rio Grande do Sul (FIERGS), analisa-se o comportamento do investimento no setor. A luz dos resultados, comenta-se o cenario enfrentado pela economia do Estado em 2015 e 2016. Palavras-chave: ciclos e flutuacoes; Rio Grande do Sul TITULO EM INGLES Fluctuations in Rio Grande do Sul's industrial production and the recession scenario after 2014 Abstract This paper aims to study the fluctuations in Rio Grande do Sul’s industrial production, firstly by comparing their movements with the recession periods in the Brazilian economy, dated by the Business Cycle Dating Committee (Codace), of the Brazilian Institute of Economics (Ibre) of the Getulio Vargas Foundation (FGV), and, additionally, through filtering techniques — specifically through the use of the Hodrick-Prescott filter. In addition, some selected indicators related to the industrial sector are presented. Finally, by using data from the Federation of Industries of Rio Grande do Sul (FIERGS), the author analyzes the behavior of industrial investment in the state and comments on the economic scenario faced by Rio Grande do Sul in 2015 and 2016. Keywords: cycles and fluctuations; the State of Rio Grande do Sul Artigo recebido em 19 abr 2017.
Parenting self-efficacy, parenting stress and child behaviour before and after a parenting programme

Aim To explore whether changes in parenting self-efficacy after attending a parenting programme are related to changes in parenting stress and child behaviour. Background Adverse parenting is a risk factor in the development of a range of health and behavioural problems in childhood and is predictive of poor adult outcomes. Strategies for supporting parents are recognised as an effective way to improve the health, well-being and development of children. Parenting is influenced by many factors including the behaviour and characteristics of the child, the health and psychological well-being of the parent and the contextual influences of stress and support. Parenting difficulties are a major source of stress for parents, and parenting self-efficacy has been shown to be an important buffer against parenting stress. Methods In all, 63 parents who had a child under the age of 10 years took part in the research. Of those, 58 returned completed measures of parenting self-efficacy, parenting stress and child behaviour at the start of a parenting programme and 37 at three-month follow-up. Findings Improvements in parenting self-efficacy and parenting stress were found at follow-up, but there was less evidence for improvements in child behaviour. The findings clearly suggest a relationship between parenting self-efficacy and parenting stress; parents who are feeling less efficacious experience higher levels of stress, whereas greater parenting self-efficacy is related to less stress. This study adds to the evidence that parent outcomes may be a more reliable measure of programme effectiveness than child outcomes at least in the short term.
Covering Algorithms, Continuum Percolation, and the Geometry of Wireless Networks.

Continuum percolation models where each point of a two-dimensional Poisson point process is the center of a disc of given (or random) radius r, have been extensively studied. In this paper, we consider the generalization in which a deterministic algorithm (given the points of the point process) places the discs on the plane, in such a way that each disc covers at least one point of the point process and that each point is covered by at least one disc. This gives a model for wireless communication networks, which was the original motivation to study this class of problems. We look at the percolation properties of this generalized model, showing the almost sure non-existence of an unbounded connected component of discs for small values of the density lambda of the Poisson point process, for any covering algorithm. In general, it turns out not to be true that unbounded connected components arise when lambda is taken sufficiently high. However, we identify some large families of covering algorithms, for which such an unbounded component does arise for large values of lambda. We show how a simple scaling operation can change the percolation properties of the model, leading to the almost sure existence of an unbounded connected component for large values of lambda, for any covering algorithm. Finally, we show that a large class of covering algorithms, that arise in many practical applications, can get arbitrarily close to achieving a minimal density of covering discs. We also show (constructively) the existence of algorithms that achieve this minimal density.
EDApplets: A Web Tool for Teaching Data Structures and Algorithmic Techniques

We present in this work the EDApplets tool, a Web–based application oriented to the teaching / learning of programming and algorithmics in engineering. Based on Java Applets technology, it provides the animation and visualization by traces of algorithms and data structures. The tool covers various aspects in teaching which may be directed to different kinds of learning styles: Active / thoughtful, methodical / intuitive, visual / oral, etc. Also, we present the methodological aspects that should be considered to put in place the tool in the classroom as a supplement to learning.
Sparse Bayesian kernel logistic regression

In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-parameterised such that an isotropic Gaussian prior over parameters in the kernel induced feature space is replaced by an isotropic Gaussian prior over the trans- formed parameters, facilitating a Bayesian analysis using standard meth- ods. The Bayesian approach allows the selection of "good" values for the usual regularisation and kernel parameters through maximisation of the marginal likelihood. Results obtained on a variety of benchmark datasets are provided indicating that the Bayesian kernel logistic regres- sion model is competitive, whilst having one less parameter to determine during model selection.
Access to health care among Hispanic/Latino children: United States, 1998-2001.

OBJECTIVE This report presents national estimates on access to health care for five subgroups of Hispanic/Latino children in the United States: Mexican, Puerto Rican, Cuban, Central or South American, and other Hispanic. For comparison, estimates are also presented for non-Hispanic white children. METHODS Data for persons of all ages in the U.S. civilian noninstitutionalized population are collected each year in the National Health Interview Survey (NHIS), which is conducted by the Centers for Disease Control and Prevention's National Center for Health Statistics. Each year, data are collected for approximately 100,000 persons in 40,000 households. In the 1998-2001 surveys combined, 53,510 interviews (14,284 Hispanic/Latino children) were completed by knowledgeable adults for a subsample of children under age 18 years, with an overall response rate of 80.2%. RESULTS Each year, an estimated 3.0 million (25.7%) Hispanic/Latino children lacked health insurance coverage at the time of interview, 1.6 million (14.1%) had no usual place to go for health care during the past year, and 1.4 million (17.6%) experienced unmet health care needs during the past year due to cost. Of the five Hispanic/Latino subgroups, Mexican children were most likely (30.4%) to lack health insurance coverage, followed by Central or South American children (23.8%) and other Hispanic children (18.6%). The percentage of children having a usual place to go for health care was highest for Cuban children (93.5%) and lowest for Mexican children (83.3%). The percentage of children who experienced unmet medical needs due to cost in the past year was 18.3% for Mexican children, 16.3% for Puerto Rican children, 12.8% for Central or South American children, and 8.3% for Cuban children. Lack of access to health care was most prevalent among Hispanic/Latino children who had poor or near poor poverty status, whose parents had less than a high school diploma, and who were foreign born. CONCLUSION Access to health care varied among subgroups of Hispanic/Latino children. Understanding subgroup differences may help community-based programs improve access to care among Hispanic/Latino children.
An Abstract Interpretation-Based Model of Tracing Just-in-Time Compilation

Tracing just-in-time compilation is a popular compilation technique for the efficient implementation of dynamic languages, which is commonly used for JavaScript, Python, and PHP. It relies on two key ideas. First, it monitors program execution in order to detect so-called hot paths, that is, the most frequently executed program paths. Then, hot paths are optimized by exploiting some information on program stores that is available and therefore gathered at runtime. The result is a residual program where the optimized hot paths are guarded by sufficient conditions ensuring some form of equivalence with the original program. The residual program is persistently mutated during its execution, for example, to add new optimized hot paths or to merge existing paths. Tracing compilation is thus fundamentally different from traditional static compilation. Nevertheless, despite the practical success of tracing compilation, very little is known about its theoretical foundations. We provide a formal model of tracing compilation of programs using abstract interpretation. The monitoring phase (viz., hot path detection) corresponds to an abstraction of the trace semantics of the program that captures the most frequent occurrences of sequences of program points together with an abstraction of their corresponding stores, for example, a type environment. The optimization phase (viz., residual program generation) corresponds to a transform of the original program that preserves its trace semantics up to a given observation as modeled by some abstraction. We provide a generic framework to express dynamic optimizations along hot paths and to prove them correct. We instantiate it to prove the correctness of dynamic type specialization and constant variable folding. We show that our framework is more general than the model of tracing compilation introduced by Guo and Palsberg [2011], which is based on operational bisimulations. In our model, we can naturally express hot path reentrance and common optimizations like dead-store elimination, which are either excluded or unsound in Guo and Palsberg’s framework.
Single nucleotide polymorphisms of ADH1B, ADH1C and ALDH2 genes and esophageal cancer: A population‐based case–control study in China

Alcohol drinking is a major risk factor for esophageal cancer (EC) and the metabolism of ethanol has been suggested to play an important role in esophageal carcinogenesis. Epidemiologic studies, including genomewide association studies (GWAS), have identified single nucleotide polymorphisms (SNPs) in alcohol dehydrogenases (ADHs) and aldehyde dehydrogenases (ALDHs) to be associated with EC. Using a population‐based case–control study with 858 EC cases and 1,081 controls conducted in Jiangsu Province, China, we aimed to provide further information on the association of ADH1B (rs1229984), ADH1C (rs698) and ALDH2 (rs671) polymorphisms with EC in a Chinese population. Results showed that ADH1B (rs1229984) was associated with EC with odds ratios (ORs) of 1.34 [95% confidence interval (CI): 1.08–1.66] for G‐allele carriers compared to A/A homozygotes. No heterogeneity was detected on this association across different strata of alcohol drinking and tobacco smoking. Statistical interaction between ALDH2 (rs671) and alcohol drinking on EC susceptibility in both additive and multiplicative scales was observed. Compared to G/G homozygotes, A‐allele carriers were positively associated with EC among moderate/heavy drinkers (OR = 1.64, 95% CI: 1.12–2.40) and inversely associated with EC among never/light drinks (OR = 0.75, 95% CI: 0.54–1.03). In addition, statistical interaction between ALDH2 and ADH1B polymorphisms on EC susceptibility among never/light drinkers was indicated. We did not observe association of ADH1C polymorphism with EC. In conclusion, our findings indicated that ADH1B (rs1229984) was associated with EC independent of alcohol drinking and tobacco smoking status and alcohol drinking interacted with ALDH2 (rs671) on EC susceptibility in this high‐risk Chinese population.
Measurements of the Atmospheric Mass, Energy, and Momentum Budgets Over a 500-Kilometer Square of Tropical Ocean

Abstract The atmospheric budgets of mass, water vapor, heat, momentum, and mechanical energy have been analyzed for a 5-day undisturbed period (June 22–26, 1969) during the Barbados Oceanographic and Meteorological Experiment (BOMEX). Data were obtained from rawinsondes launched every 1½ hr from the four corner ships of the BOMEX array. Computations were limited to the lowest 500 mb within a 500-km square centered at 15°N, 56°30′W. The mass budget is characterized by mean, low-level divergence and downward motion. Maximum divergence (5 × 10−6 s−1) is found approximately 80 mb above the surface and maximum subsidence near the base of the trade-wind inversion. The computed average evaporation is 6.0 mm/day. The computations show an upward flux of moisture through the trade inversion by subgrid-scale eddies, but the mean downward flux dominates, leading to a net downward transfer of moisture through the trade inversion. A surface stress of 0.065 Newtons (N)·m−2 is computed from the momentum balance with the .
Evaluation of a Framework for Measuring Efficency in Opportunistic Ad-hoc Networks

Opportunistic networks are the manifestation of wireless ad-hoc networks where there is no continuous end-to-end path. The forwarding of messages takes place via any nodes that are encountered, and therefore the measurement of message passing efficiency between nodes becomes challenging if a number of different protocols are to be compared and evaluated. Prior work has identified an evaluation framework that addresses this challenge. This article describes the construction of a simulation tool to assist the assessment of efficiency in opportunistic networks, and by way of an exemplar case study, a set of experimental results are discussed and evaluated. From this we conclude that Spray and Focus may be the way forward in this case.
Catabolism and biotechnological applications of cholesterol degrading bacteria

Cholesterol is a steroid commonly found in nature with a great relevance in biology, medicine and chemistry, playing an essential role as a structural component of animal cell membranes. The ubiquity of cholesterol in the environment has made it a reference biomarker for environmental pollution analysis and a common carbon source for different microorganisms, some of them being important pathogens such as Mycobacterium tuberculosis. This work revises the accumulated biochemical and genetic knowledge on the bacterial pathways that degrade or transform this molecule, given that the characterization of cholesterol metabolism would contribute not only to understand its role in tuberculosis but also to develop new biotechnological processes that use this and other related molecules as starting or target materials.
A medium-term intervention study on the impact of high- and low-fat snacks varying in sweetness and fat content: large shifts in daily fat intake but good compensation for daily energy intake

Thirty-six normal-weight, habitual snackers (eighteen males, eighteen females) completed a medium-term intervention study designed to examine the tendency of four different types of snacks, varying in nutrient (low- (LF) or high-fat (HF)) and sensory properties (sweet (SW) or non-sweet (NSW)), to influence the control of appetite and to adjust daily energy intake. Subjects were exposed to each snack category for a 3-week period and were asked to consume a minimum number of snacks each day so that at least 25% of their daily energy intake would be derived from the test snacks. Energy and macronutrient intakes from the test snacks were calculated every day and also from other eating episodes (using 3 d food diary records) during the third week of snack exposure. Subjects consumed more energy/d from the SW snacks than from the NSW snacks, with most energy being consumed from the HF/SW snacks (3213 kJ) and least energy from the LF/NSW snacks (1628 kJ). This differential snack intake remained stable across the whole snack exposure period. Total daily energy intake did not differ significantly during exposure to any of the four snack types. Furthermore, the encouragement to eat freely from the test snacks did not lead to daily overconsumption of energy when compared with pre-study intakes. Hence, the level of snack consumption was largely compensated for by the energy consumed from the rest of the eating pattern. Although daily energy intake during exposure to the HF snacks was an average of 364 kJ higher (NS) than that during exposure to the LF snacks, the clearest and most significant effect of snack consumption was on daily macronutrient intake. Appreciable consumption of the HF snacks raised the percentage of total daily energy intake consumed as fat from 37 to 41% (P < 0.01). In contrast, the LF snacks reduced daily fat intake to 33.5% (LF/SW, P < 0.05; LF/NSW, NS) of total daily energy. The results, therefore, suggest that, in habitual snackers, generous consumption of LF snacks, when compared with HF snacks, is an effective strategy to reduce fat intake so that it approaches the recommendations of dietary guidelines without increasing total daily energy intake.
Graph regularized dictionary for single image super-resolution

Super-resolution (SR) for single image is wild used in image processing areas. The learning-based methods use the co-trained dictionaries which contain low resolution and corresponding high resolution images to conduct SR. In this paper, a new dictionary for SR is proposed which adds the graph information between patches. Simulation results show that our scheme improved the dictionary and outperforms the existing classic SR algorithms in both subjective visually and quantitative evaluations.
Locked Nucleic Acid In situ Hybridization Analysis of miR-21 Expression during Colorectal Cancer Development

Purpose: To better understand microRNA miR-21 function in carcinogenesis, we analyzed miR-21 expression patterns in different stages of colorectal cancer development using in situ hybridization (ISH). Experimental Design: Locked nucleic acid (LNA)/DNA probes and a biotin-free tyramide signal amplification system were used in ISH analyses of miRNA expression. Conditions for specific detection of miR-21 were determined using human cell lines and miR-21–expressing lentiviral vectors. Expression was determined in 39 surgically excised colorectal tumors and 34 endoscopically resected colorectal polyps. Results: In the surgical samples, miR-21 expression was much higher in colorectal cancers than in normal mucosa. Strong miR-21 expression was also observed in cancer-associated stromal fibroblasts, suggesting miR-21 induction by cancer-secreted cytokines. Protein expression of PDCD4, a miR-21 target, was inversely correlated with miR-21 expression, confirming that miR-21 is indeed a negative regulator of PDCD4 in vivo. In the endoscopic samples, miR-21 expression was very high in malignant adenocarcinomas but was not elevated in nontumorigenic polyps. Precancerous adenomas also frequently showed miR-21 up-regulation. Conclusion: Using the LNA-ISH system for miRNA detection, miR-21 was detectable in precancerous adenomas. The frequency and extent of miR-21 expression increased during the transition from precancerous colorectal adenoma to advanced carcinoma. Expression patterns of miR-21 RNA and its target, tumor suppressor protein PDCD4, were mutually exclusive. This pattern may have clinical application as a biomarker for colorectal cancer development and might be emphasized by self-reinforcing regulatory systems integrated with the miR-21 gene, which has been previously shown in cell culture.
INVESTIGATION AND ANALYSIS ON DESIGNING CHINESE BALANCE CORPUS

Recently, the statistical methods have become the main methods in the research of computational linguistics and natural language processing. The corpus is the basis of the statistical method. How to keep the balance in corpus collection is an important issue. In this paper, we report the results of our investigation and analysis on some real corpus, and propose a scheme to keep the balance in corpus design. Suggestions for the composition in corpus design are also presented in this paper.
Microvasculature of the human fetal laryngeal anterior commissure.

The vascular pattern of the injected with Mercox human fetal larynges, especially of the anterior commissure and surrounding it area, was analysed within the horizontal and frontal sections under a light microscope. The main result of our study was confirmation of existence of the avascular "plane zero" situated above the anterior commissure, which separates that structure from the supraglottic tier. That finding i.e. avascular separation between teh middle and upper laryngeal compartments, already present in the fetal period, has clinical implications as far as the spread of neoplastic process within the larynx is cancerued.
Factor Modeling for Advertisement Targeting

We adapt a probabilistic latent variable model, namely GaP (Gamma-Poisson) [6], to ad targeting in the contexts of sponsored search (SS) and behaviorally targeted (BT) display advertising. We also approach the important problem of ad positional bias by formulating a one-latent-dimension GaP factorization. Learning from click-through data is intrinsically large scale, even more so for ads. We scale up the algorithm to terabytes of real-world SS and BT data that contains hundreds of millions of users and hundreds of thousands of features, by leveraging the scalability characteristics of the algorithm and the inherent structure of the problem including data sparsity and locality. Specifically, we demonstrate two somewhat orthogonal philosophies of scaling algorithms to large-scale problems, through the SS and BT implementations, respectively. Finally, we report the experimental results using Yahoo's vast datasets, and show that our approach substantially outperform the state-of-the-art methods in prediction accuracy. For BT in particular, the ROC area achieved by GaP is exceeding 0.95, while one prior approach using Poisson regression [11] yielded 0.83. For computational performance, we compare a single-node sparse implementation with a parallel implementation using Hadoop MapReduce, the results are counterintuitive yet quite interesting. We therefore provide insights into the underlying principles of large-scale learning.