Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards a cross-linguistic VerbNet-style lexicon for Brazilian Portuguese

This paper presents preliminary results of the Brazilian Portuguese Verbnet (VerbNet.Br). This resource is being built by using other existing Computational Lexical Resources via a semi-automatic method. We identiﬁed, automatically, 5688 verbs as candidate members of VerbNet.Br, which are distributed in 257 classes inherited from VerbNet. These preliminary results give us some directions of future work and, since the results were automatically generated, a manual revision of the complete resource is highly desirable.
Automatic online specification mining

Dynamic specification inference attempts to infer specifications of software's correct behaviors from execution traces. Automatic online specification mining (AOSM) automatically infers software specifications from online behaviors of in-field programs. Compared with off-line approaches, AOSM is more challenging. On the one hand, it is necessary to divide the evolving trace into small learning units, which we call scenario identification. On the other hand, if online programs encounter failure, erroneous traces which may make specifications inferred very possibly wrong will be produced. This paper gives the solutions of these two problems. For scenario identification, we extract sub-traces of methods issued by one method execution, and infer a FSM (Finite State Machine) model for each method. For the second problem, we assume that software functions are correct in most cases. So we utilize statistical approach to filter out failed software behavior. Meanwhile, based on such strategies, we present a framework for inferring specifications automatically for in-field software. The experiment result demonstrates that precision and completeness of specifications inferred by AOSM respectively have increases of 25% and 7.2% more than these inferred by off-line approach and that AOSM can effectively deal with software failure.
Spherical tag cloud for prompt keywords visualization

The current search task is gradually turning from traditional information retrieval to exploratory search. In view of the space and interactive constraints on the vertical list of search boxes for prompt keywords, this paper designs and implements a visualization method of the spherical tag cloud for prompt keywords list. Firstly, the method of generating the keywords is analyzed, and a simple organization storage mode is designed. Secondly, for the heat keywords data stored in one dimensional array of, a layout method is designed, which is diverging along the sphere from the North Pole. And, for the classification data stored in one dimensional vector, a fixed hemispherical pattern is designed, which is divided along the longitude. Lastly, the driving, restructuring and other convenient ways of interaction are designed. Test results show that the designed methods could better utilize the space, show more keywords, and find the needed keyword faster.
King Edward's Hospital Fund for London

The Prince of Wales moved the adoption of the Accounts, which was seconded by Sir Henry Burdett and supported by Sir Joseph Dimsdale, and carried unanimously. Mr. Danvers Power read the Draft Report of the Council for the year 1906. The Prince of Wales, in moving the adoption of the Report, said:? As at our last meeting in December I went fully into the various questions affecting the Fund, I do not propose to do more
Perfil do Conselho de Administração e o Desempenho das Companhias Brasileiras

O estudo tem por objetivo investigar como o perfil do conselho de administracao influencia o desempenho economico e o valor das companhias abertas no Brasil. A analise da pesquisa e desenvolvida a partir de evidencias quantitativas obtidas com base em procedimentos estatisticos de regressao linear multipla. Com isso o estudo e realizado em um conjunto de 180 empresas brasileiras de capital aberto listadas na BM&FBovespa, sendo considerado na analise, oito variaveis independentes de perfil do conselho de administracao das empresas e tres variaveis de controle. Apos a aplicacao das tecnicas estatisticas foi possivel identificar que a variavel idade do presidente do conselho relaciona-se positivamente com o desempenho, ou seja, uma maior experiencia profissional por parte do presidente proporciona melhores desempenhos. As variaveis, independencia e tamanho do conselho, estao negativamente relacionadas com o desempenho das companhias. Nao foram encontrados resultados estatisticamente significativos entre as variaveis independentes e o valor das empresas com base no Q de Tobin. Por fim, entende-se que a principal contribuicao da pesquisa esta no fato de produzir indicios de que o perfil e as caracteristicas dos conselheiros podem melhor explicar os efeitos positivos em termos de desempenho economico, conforme observado na variavel que explicou a relacao entre a experiencia do presidente e o desempenho das empresas.
Cell detection and discrimination by a microfluidic-integrated broadband microchamber

In the last years, the development of broadband microwave sensors for cell detection has become a great challenge. In this work, a broadband microchamber integrated with microfluidics is used for cell detection in the GHz range. Measurements of scattering parameters have been carried out, demonstrating the capability of the device to discriminate different number of cells between the electrodes. Stable and reliable results on Jurkat cell solutions have been achieved. An equivalent circuit model, dependent on the number of cells trapped within the channel, has been extracted from the experimental data sets. We demonstrate the possibility to detect and isolate the electrical contribution of biological cells.
Genotoxic Effects of Magnesium Deficiency in the Cardiovascular System and their Relationships to Cardiovascular Diseases and Atherogenesis

The authors present evidence for a novel, new hypothesis whereby magnesium deficiency (MgD) acts as a genotoxic agent which probably causes numerous, hertofore, unrecognized consequences, even over a short-term, on the physiological, molecular and biochemical machinery of cardiovascular tissues and cells. The end result of these genotoxic effects of MgD probably plays important roles in the etiology and generation of diverse cardiovascular diseases, atherosclerosis, inflammation, and strokes via alterations in the epigenome of cardiovascular tissues and cells. The importance of adequate water-borne and dietary levels of Mg is emphasized.
Temporal evolution of an ultrathin, noncrystalline ice deposit at crystallization near 160 K studied by FT-IR reflection-absorption spectroscopy

The temporal evolution of the OH stretching modes of a noncrystalline ice deposit upon annealing followed by crystallization near 160 K has been investigated by FT-IR reflection-absorption spectroscopy. Using the earlier theo- retical results from Whalley (E. Whalley. Can. J. Chem. 55, 3429 (1977)) and from Buch and Devlin (V. Buch and J.P. Devlin. J. Chem. Phys. 110, 3437 (1999)), the most prominent changes in these modes have been characterized for the first time. A dynamical picture of the structural transformation during crystallization has been developed, and it sup- ports the observation that crystallization proceeds directly from a noncrystalline to a crystalline state without any long- lived intermediate state structurally different from its noncrystalline predecessor.
BIOLOGICAL STRATEGIES TO ADDRESS AIR POLLUTION FROM BROILER PRODUCTION

Biological trial to minimize environmental pollution through different strategies in Vencobb® broiler was made with an emphasis to improve litter quality. 168 birds were randomly distributed in four groups viz one control and three treatments for 6 weeks. Control group was fed with standard protein diet (Bureau of Indian Standard) without addition of methanotrophic bacteria in litter. Other three groups were T1 (standard protein), T2 (low protein with balanced amino acids without enzyme), T3 (low protein with balanced amino acids and enzyme) and in all the above three treatments methanotrophic bacteria was added in litter. Production performance and Litter quality were assessed at second, fourth and sixth week of bird age. Biochemical Methane Potential (BMP) was recorded at sixth week of age. Comparative production performance showed that there was no significant difference among the treatments. Results of moisture, pH and nitrogen indicated that as protein and age increased moisture, pH and nitrogen content of litter also increased significantly (P≤ 0.05). Enzyme addition to low protein diets resulted in significant (P≤ 0.05) reduction in moisture, pH and nitrogen value of litter. Methylomonas methanica bacteria in litter lead to numerical reduction in per cent carbon, hydrogen and BMP value of litter but did not influence other litter parameters. Based on the results it was concluded that reduction of protein and supplementation of enzyme can reduce litter nitrogen, pH, carbon and hydrogen without affecting production performance which lead to reduction in gas production. Addition of methanotrophic bacteria in poultry litter had marginal effect on reducing methane emission.
I understand you feel that way, but I feel this way: the benefits of I-language and communicating perspective during conflict

Using hypothetical scenarios, we provided participants with potential opening statements to a conflict discussion that varied on I/you language and communicated perspective. Participants rated the likelihood that the recipient of the statement would react in a defensive manner. Using I-language and communicating perspective were both found to reduce perceptions of hostility. Statements that communicated both self- and other-perspective using I-language (e.g. ‘I understand why you might feel that way, but I feel this way, so I think the situation is unfair’) were rated as the best strategy to open a conflict discussion. Simple acts of initial language use can reduce the chances that conflict discussion will descend into a downward spiral of hostility.
Extracting urban water usage habits from smart meter data: a functional clustering approach

Through automated meter reading systems, recent development of smart grids offers the opportunity for an efficient and responsible management of water resources. The present paper describes a novel methodology for identifying relevant usage profiles from hourly water consumption series collected by smart meters located on a water distribution network. The proposed approach operates in two stages. First, an additive time series decomposition model is used in order to extract seasonal patterns from the time series. Then, two functional clustering approaches are used to group the extracted seasonal patterns into homogeneous clusters: a functional version of the well-known K-means algorithm, and a Fourier regression mixture-model-based algorithm. The two clustering strategies are applied to real world data from a smart grid deployed on a large water distribution network in France and a realistic interpretation of the consumption habits is given to each cluster.
Interpretation the Hepatotoxicity Based on Pharmacokinetics Investigated Through Oral Administrated Different Extraction Parts of Polygonum multiflorum on Rats

The liver injury induced by Polygonum multiflorum (PM) used for clinical treatment has recently received widespread attention. This study aimed to determine the hepatotoxicity of PM through pharmacokinetics studies. The extract of PM was separated to isolate the anthraquinone fraction, the tannin and polysaccharide fraction, the hydroxystilbene fraction, and the combined anthraquinone fraction. A rapid LC-MS/MS method was developed and validated to simultaneously analyze 2,3,5,4′-tetrahydroxystilbene-2-O-β-glucoside (TSG), emodin-8-O-β-D-glucopyranoside (EDG), and emodin in rat plasma, and was applied to the pharmacokinetics (PK) studies. The hepatotoxicity of different extracted parts of PM was evaluated through the levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), total bilirubin (TBil), direct bilirubin (DBil), and indirect bilirubin (IBil) in rat serum. The results showed that liver injury occurred in all the treated groups and that the hepatotoxicity performance of the total extract was different from other groups. The pharmacokinetic studies showed that the Cmax, Tmax, AUC, t1/2, and MRT of the major compounds of different extracted parts were significantly different in rat plasma at same dosage. Emodin-O-hex-sulfate, tetrahydroxystilbene-O-(galloyl)-hex, emodin (original and generated through EDG deglycosylation), and other free anthraquinones might be responsible for the hepatotoxicity of PM in vivo. PM extracts produced inhibitory effects on drug metabolic enzymes, include CYP3A4, CYP2C19, CYP2E1, UGT1A1, etc. And these effects may be related to its hepatotoxicity and pharmacokinetic behavior different. This information on hepatotoxicity and the pharmacokinetic comparison may be useful to understand the toxicological effects of PM.
Doing Geomorphometry with Pattern Analysis

We have developed a concept of pattern-based analysis of land-surface where a basic unit of analysis is a pattern of landform elements defined over an arbitrary local region referred to as a scene. The DEM is subdivided into a regular grid of scenes reducing its effective dimension by orders of magnitude. Scenes are described by histograms of local pattern primitive features and similarities between scenes are calculated using histogram distance measures. With scene histograms as cell attribute and histogram distance as a metric the grid-of-scenes can be analyzed much like the ordinary DEM including its segmentation and classification. The result is a framework for efficient and robust automatic classification of topography on continental or global scales using extensive DEM archives. The framework also supports spatial search for similar landscapes. The concept of pattern-based analysis is described and an example pertaining to automatic delineation of physiographic units in Poland is presented. In addition, a GeoWeb application for spatial search of landscapes in Poland is also discussed. To facilitate pattern-based analysis we have developed GeoPAT – a toolbox of GRASS GIS modules intended as a platform for experimentation with the pattern-based analysis of DEMs and other spatial datasets.
A Hybrid Spline-Based Parametric Model for the Yield Curve

Empirical evidence indicates that both nominal and real yield curves in important markets have segmentation between their short end and their longer-maturity segments. This segmentation might affect term structure estimation, introducing distortions in longer-maturity yields, especially in parametric models. In order to deal with such segmentation, we propose a new model that combines the flexibility of spline functions with the parsimoniousness of a parametric four-factor exponential model. The short end of the yield curve is fitted using a B-spline function, while longer segments are captured by the parametric model. We illustrate the benefits of the proposed model for pricing and risk management purposes, using two examples: the real yield curve in the Brazilian government index-linked bond market, and the US Treasury nominal yield curve. We show that, in both markets, our model is simultaneously able to fit the yield curve well and to provide unbiased Value at Risk estimates for all tested portfolios of bonds, outperforming an important parametric benchmark model frequently adopted by central banks.
An RGBD segmentation model for robot vision learned from synthetic data

The ability to segment objects for semantic reasoning about a complex scene is fundamental to interactive robot behaviors. However, most robot systems can only operate in unrealistic, structured environments. For robots to operate in unstructured, unknown environments and reason about interacting with the objects and agents of those environments, robots need to be able to segment the scene that they perceive. In this work, we examine the use of synthetic data to supplement training of complex deep models that do not on their own have enough labeled real-world training data. We train a state-ofthe-art deep neural network designed for scene segmentation on different combinations of the real and synthetic data and show our model being able to segment video frames from a robot in spite of the model not having been trained on robot data.
Multi-class stain separation using independent component analysis

Stain separation is the process whereby a full colour histology section image is transformed into a series of single channel images, each corresponding to a given stain's expression. Many algorithms in the field of digital pathology are concerned with the expression of a single stain, thus stain separation is a key preprocessing step in these situations. We present a new versatile method of stain separation. The method uses Independent Component Analysis (ICA) to determine a set of statistically independent vectors, corresponding to the individual stain expressions. In comparison to other popular approaches, such as PCA and NNMF, we found that ICA gives a superior projection of the data with respect to each stain. In addition, we introduce a correction step to improve the initial results provided by the ICA coefficients. Many existing approaches only consider separation of two stains, with primary emphasis on Haematoxylin and Eosin. We show that our method is capable of making a good separation when there are more than two stains present. We also demonstrate our method's ability to achieve good separation on a variety of different stain types.
A new medical image mosaic algorithm based on fuzzy sets recognition method

In the aspect of medical imaging, the large panoramic images can help doctors to conduct comprehensive and visual observation on the focus and the surrounding parts, so that image mosaicking has naturally become an issue which needs to be resolved intensively. This article proposed a new matching algorithm for image mosaic based on fuzzy sets recognition method to carry on regional characteristics matching combined medical imaging features. Taking perimeter, area, flat degrees, aspect ratio features as the regional characteristics, the right match point can be found with the use of fuzzy sets identification method, then a medical image mosaicking can be achieved by using eight parameter projective transformation principle and a gradual fade out of the method. On-the-spot experiments have proved that this algorithm is simple and easy to implement with strong robustness.
Survival and population size estimates of the red wolf

Evaluating anthropogenic mortality is important to develop conservation strategies for red wolf (Canis lupus) recovery. We used 26 years of population data in a generalized linear mixed model to examine trends in cause-specific mortality and a known-fate model in Program MARK to estimate survival rates for the reintroduced red wolf population in North Carolina, USA. We found the proportion of mortality attributable to anthropogenic causes, specifically mortality caused by gunshot during fall and winter hunting seasons (Oct–Dec), increased significantly since 2000 and became the leading cause of red wolf death. Mortality rates were greatest for red wolves <4 years of age, and we suspect inexperience with human activities (e.g., hunting) likely caused younger wolves to be more susceptible to opportunistic killing by hunters. Since 1987, the red wolf population steadily grew and peaked at an estimated 151 individuals during 2005 but declined to 45–60 by 2016. To reduce the negative effects of anthropogenic mortality and ensure long-term persistence of red wolves, the United States Fish and Wildlife Service (USFWS) will need to re-implement previous long-standing and proven management practices (e.g., Red Wolf Adaptive Management Plan) on public and private lands and cease issuing take permits. The USFWS will also need to establish an effective management response to mitigate gunshot mortality through stronger regulation of coyote (Canis latrans) hunting and provide adequate ecologically and biologically supported regulatory mechanisms to protect red wolves. Finally, the USFWS should enhance recovery by providing information and education about red wolves to hunters and the general public. © 2016 The Wildlife Society.
A new multi-symbol differential detection with linear interpolation based on symbol error position detection

In this paper, we propose a new multi-symbol differential detection (MSDD) with linear interpolation (LI) based on symbol error position detection (SEPD) in order to improve the performance of differential detection system. To reduce the effect of symbol error, we estimate a symbol error position, and then compensate it with LI. Simulation results show that providing the soft-output to Viterbi decoder improves BER performance considerably as compared to the conventional differential detector in the high speed mobile multi-path fading channel.
Standardized Extract of Mangifera Indica L. Leaves as an Antimycobacterial and Immunomodulatory Agent

Background: Mangifera indica L. ; the largest fruit-tree found in India, is an important component of indigenous medical systems. Mangifera indica L. leaves (MIL) have been reported to possess various biological activities and thus, can be a useful source of substances for drug development. Although the leaves have been traditionally used as antibacterial and immunomodulatory agent, there is a paucity of scientific data in support of their efficacy. The purpose of this study was an in-depth evaluation of antimycobacterial and immunomodulatory activity of a standardized extract of MIL. Material and Methods: The hexane extract of Mangifera indica L. leaves (HEMIL) was prepared and standardized. Chromatographic characterization of HEMIL was done using validated HPLC and GC-MS/MS technique. HEMIL was evaluated for antimycobacterial and immunomodulatory activity by using various in vitro and in vivo assays. Results and Discussion: HEMIL showed lupeol and stigmasterol content of 21.04 ± 0.03 mg/g and 16.99 ± 0.04 mg/g, respectively; and total terpenoids content of 112.55 ± 2.16 mg LE/g. GC-MS/MS characterization of the extract confirmed the presence of lupeol and stigmasterol and revealed five other phytochemical constituents. The safety of HEMIL was established in vitro and in vivo. HEMIL showed concentration-dependent inhibition of MTB as evident in REMA and radiorespirometry. HEMIL was also found efficacious in immunomodulatory evaluations using RAW 264.7 cells, human PBMCs, cyclophosphamide induced myelosuppressed mice and SRBCs stimulated mice. Conclusion: The promising results not only support the traditional claim of MIL as antibacterial and immunomodulatory agent but also provide data on their use in food supplements for immuno-pharmacological use.
IoB-DTN: A lightweight DTN protocol for mobile IoT applications to smart bike sharing systems

Information and communication are key to the intelligent city of tomorrow. Many technologies have been designed to connect smart devices to the Internet. In particular, public transport systems have been used to collect data from mobile devices. Public bike sharing systems have been introduced as part of the urban transportation system and could be used as the support of a mobile sensor network. In this paper, we introduce the "Internet of Bikes" IoB-DTN protocol which applies Delay/Disruption Tolerant Network (DTN) paradigm to the Internet of Things (IoT) applications running on urban bike sharing system based sensor network. We evaluate the performance of three variants of IoB-DTN with four buffer management policies. Our results show that limiting the number of packet copies sprayed in the network and prioritizing generated packets against relayed ones, improves on low loss rate and delivery delay in urban bicycle scenario.