Miracle-dz/UniFAR-FTUs huggingface dataset:
JBeaver: análisis y generación de analizadores de dependencias

JBeaver es un sistema de analisis y generacion de analizadores de dependencias. Podemos crear corpora de entrenamiento, entrenar a un sistema automatico de aprendizaje y por ultimo realizar analisis y evaluarlos tanto grafica como estadisticamente. Todo ello siendo este un sistema autonomo, facil de usar, portable, con un alto rendimiento y por supuesto, debido a su caracter didactico y de investigacion, publico y gratuito. El sistema consta de tres modulos funcionales: Entrenamiento: Crea corpora de dependencias a partir de arboles de constituyentes mediante la transformacion del algoritmo de Gelbukh (Universidad Autonoma de Mexico). Realiza el entrenamiento de la herramienta de aprendizaje automatico Maltparser_0. 4 por medio del corpus de dependencias, generando un modelo.Evalua los resultados para garantizar la calidad del entrenamiento, usando las metricas: Label attachment score (LAS), Unlabel attachment score (UAS) y Label accuracy. Analisis : Etiqueta cada token de un texto con sus part-of-speach (categorias gramaticales). Analiza el texto de entrada, ya etiquetado, gracias al modelo creado en el entrenamiento. Evalua los resultados para garantizar la calidad del analisis, usando las metricas: Label attachment score (LAS), Unlabel attachment score (UAS) y Label accuracy. Graco: Muestra en forma de arbol todas las frases que seleccionemos tanto del analisis como del entrenamiento. Existen dos formas de visualizacion: Por pasos (para observar su creacion) Directamente.
An update on administration of herbal drugs in renal failure patients

End-stage kidney disease is a condition that patients need dialysis or renal transplant and neither is completely able to compensate natural kidney function. They always suffer from unsatisfied situation. Hemodialysis receiver patients usually are susceptible to hemo-incompatibility induced oxidative stress due to interaction of patient blood and artificial kidney, which greatly reduce physical function and accelerate cardiovascular events. Oxidative injury related to chronic azotemia induces endothelial dysfunction and increases pro-inflammatory pathways. Therefore, recently much attention has been directed toward administration of natural antioxidant components to improve renal dysfunction and minimize complications in chronic kidney disease patients. The administration of medicinal plants due to containing various vitamins and bioactive substance is common in renal failure patients in the world, but they may aggravate unpredictably function and structure of kidney by interstitial fibrosis and tubular atrophy and also glomerulosclerosis. Therefore, it is crucial to evaluate attentively the possible side effects of various herbal drugs in end-stage renal disease and especially in dialysis patients. Core tip The administration of medicinal plants due to containing various vitamins and bioactive substance is common in renal failure patients in the world, but they may aggravate unpredictably function and structure of kidney by interstitial fibrosis and tubular atrophy and also glomerulosclerosis. Therefore, it is crucial to evaluate attentively the possible side effects of various herbal drugs in end-stage renal disease and especially in dialysis patients. Dehghan-Shahreza F. An update on administration of herbal drugs in renal failure patients. J Prev Epidemiol. 2017;2(1):e03.
A vertically resolved, monthly mean, ozone database from 1979 to 2100 for constraining global climate model simulations

A new global three-dimensional (latitude, pressure, time) zonal mean monthly mean ozone database, from 1979 to 2100, has been created. The database extends from 87.5°S to 87.5°N at a 5° latitude resolution and from 878 hPa to 0.0460 hPa in 70 pressure levels ∼1 km apart. The full period is divided into two sub-periods, viz: (1) observations from 1979 to 2006 obtained from several sources of high vertical resolution ozone profile measurements, and (2) extensions from 2007 to 2100 based on chemistry climate model (CCM) projections. At each latitude and pressure level the CCM ozone time series are shifted and scaled to better match the measurements from 1997 to 2006 to ensure a smooth transition from observations to model output. This new database is expected to provide ozone boundary conditions suitable for long-term global climate model simulations.
STUDY OF VO 2 MAX DURING PHASES OF MENSTRUATION IN YOUNG FEMALE ATHLETES

Context: The menstrual cycle is a natural monthly event in young women, coordinated by the hypothalamic-pituitary ovarian axis and may influence physiological and pathological changes that occur throughout the life time of the woman. There is a cyclical change in sex hormones during the course of menstrual cycle that have the potential effects on exercise capacity and performance through numerous mechanisms, such as substrate metabolism, cardiorespiratory function, thermoregulation, psychological factors and injuries. Consequently hormone level changes may theoretically lead to either improved or decreased performance at various times throughout the menstrual cycle. Physiological indices such as heart rate, tension, VO 2max and aerobic power are of the main indicators of exercise performance, a potential change in these indices over the menstrual cycle will have large practical implications for female athletes. VO 2 max is highly predictive of endurance performance, hence the present study was done to evaluate whether there is any changes in the VO 2 max during phases of menstruation in young female athletes. Aim: The present study was done to evaluate the VO 2 max during phases of menstruation in young female athletes. Settings and Design: The present study was a cross sectional study consisting of 30 healthy female athletes of 17-20 years of age. Materials and Methods: This study was conducted in the Department of Physiology, Adichunchanagiri institute of medical sciences after the institutional ethical clearance and written consent from each participant. VO 2 max (maximum oxygen uptake) was indirectly assessed by the Astrand nomogram method from submaximal exercise data obtained using Harvard step test during all the three phases of menstrual cycle. Results: The parameters were analyzed for statistical significance using Students't' test and p<0.05 was considered the level of significance. There were no significant changes in the VO 2 max during all the phases of menstrual
Molecular Dynamics Simulations of NAD+ in Solution

Molecular dynamics simulations in explicit solvent have been performed to investigate the conformational preferences of NAD + in solution. Two simulations, started from different initial conformations, generated similar results. Transitions between different folded forms of the molecule were observed. The simulations predict that the predominant form of NAD + in solution is a folded conformation characterized by a nicotinamide-adenine inter-ring distance of 0.52 nm, an angle of 148° between the aromatic ring planes, parallel glycosyl bond vectors, and the nicotinamide B side facing the adenine ring. Analysis of the NAD + conformations generated during the simulations suggests that folded conformations are favored over extended ones due to the reduction in solvent-accessible surface area, while differences between folded conformations correlate with changes in the solvation properties of the nicotinamide group. The simulation results are consistent with NMR relaxation data, and they argue against previous proposals that intimate, parallel ring stacking is the hallmark of the folded conformation of NAD + .
Impactof Integrated Organic Nutrient Handlingon Fruit Yields and Quality of Strawberry cv. Kurdistan in Iran

This study was conducted during 2008-2009 to investigate the influence of different organic nutrient combinations on yields and quality of strawberry cv. Kurdistan in Iran. The experiment comprised of five organic nutrient treatment combinations including the recommended dose of N, P and K through chemical fertilizer as control. Treatment N2 (manure+Azotobacter+ woodash+phosphorus solubilizing bacteria+oil cake) improvedsignificantly quality of fruit about diameter (3.11cm), length (3.95 cm), volume (20.397 cm3), weight (11.11g), total sugars (7.95%), total soluble solids (TSS) (9.01o Brix), acidity (0.857), TSS: acidity ratio) (11.12) and yields (238.95 g/plant).
Sfrp1 demarcates the anterior neural plate and promotes eye development in the chick embryo

Secreted frizzled related proteins (SFRPs) are a new class of signaling molecules that antagonize the activity of Wnt proteins. However, the full range of SFRP activities and mechanisms of action are not fully understood. In our search for molecules which may participate in the development of the eye, we have isolated the chick homologue of Sfrp1. Here we show that in chick, Sfrp1 has a widespread and dynamic expression in the most anterior portion of the embryo. At later stages of development, Sfrp1 continues to be expressed with a pattern that is consistent with a function in cell fate determination and differentiation in both the eye and the neural tube. On the basis of this expression pattern, we have analyzed possible roles of Sfrp1 in the development of chick embryos. With in vitro and in vivo experiments, we show here that Sfrp1 has a dual function in the development of the chick retina: it promotes axon outgrowth and increases neuronal differentiation, while inhibiting cell proliferation.
New Trends in Sound Synthesis and Automatic Tuning of Electronic Musical Instruments

This paper is divided in two parts: first part corresponds to a review of newest sound synthesis techniques, while the second part contains the development of an automatic tuning system based on a fuzzy logic controller intended to emulate the human expertise in this field. As part of this work, two new concepts will be introduced: first, the idea of “tuning” a synthesized musical instrument, and second, the application of automatic tuning procedures by means of intelligent systems. If we consider the synthesis as a whole process which involves the reproduction of every aspect that determines the realistic sound of the musical instruments, tuning the synthesizer as a human expert does becomes meaningful.
Interaction between Salmonella and Plants: Potential Hosts and Vectors for Human Infection

Fruits and vegetables are important for a healthy diet. However, when eaten raw and contaminated with human pathogens (HPs) they may cause a disease outbreak. Contamination with HPs can occur along the entire farm-to-fork production chain and Salmonella enterica is one of the most common foodborne pathogens. A range of biotic and abiotic environmental factors can influence the complex interactions between Salmonella and plants. Moreover, the outcome of experiments largely depends on the experimental design and parameters or methods employed, and on top, on the accom - panying plant microbiome and the genetic equipment of the plant and the Salmonella strain. Particularly mobile genetic elements contribute to the diversification and adap - tation of Salmonella to the plant environment. So far, little is known about the key pro cesses and factors influencing the attachment and potential internalization of Salmonella in plants and the plant specific responses. It is therefore important to better under stand the ecology of Salmonella in the soil and plant environment, in order to propose practicable recommendations for prevention of foodborne diseases. This also requires improved sensitivity and specificity of detection methods. In this chapter, we present the current knowledge, research needs, and methodology regarding the complex inter actions between Salmonella and plants.
CHOSEN ASPECTS OF RISK MANAGEMENT OCCUPATIONAL

In the present chapter there are discussed the threats appearing in the diagnostic and therapeutic process with particular consideration of ionizing radiation. The implementation of medical e-records, while creating the conditions of sharing them with patients and the medical staff, reduces the decision-making risk in the process of providing hospital services. Restructuring radiological diagnostics allows for the elimination of emission of dangerous substances and the implementation of eco-friendly procedures. The implementation of the process-based approach in servicing X-ray apparatus and controlling the dose of ionizing radiation brings about the quality, accuracy and effectiveness of the diagnosis. The process of reduction of the occupational exposure to cytostatic drugs is an essential element of total management of the public hospital.
Simultaneous likelihood-based bootstrap confidence sets for a large number of models

The paper studies a problem of constructing simultaneous likelihood-based confidence sets. We consider a simultaneous multiplier bootstrap procedure for estimating the quantiles of the joint distribution of the likelihood ratio statistics, and for adjusting the confidence level for multiplicity. Theoretical results state the bootstrap validity in the following setting: the sample size n is fixed, the maximal parameter dimension p_max and the number of considered parametric models K are s.t. (log⁡K )^12 p_max^3/n is small. We also consider the situation when the parametric models are misspecified. If the models' misspecification is significant, then the bootstrap critical values exceed the true ones and the simultaneous bootstrap confidence set becomes conservative. Numerical experiments for local constant and local quadratic regressions illustrate the theoretical results.
Multigrid methods and automatic segmentation: an application to CT images of the liver

We consider a segmentation problem which arises in medical imaging and liver surgery. The model problem is based on an active contour without edges technique formulated in a level set dictionary. Previous work indicates that a feasible solution can be obtained solving the gradient descent equation associated to the original minimization problem but the convergence of the algorithm is too slow for practical clinical purposes. Here, we study the implementation of multigrid methods to the elliptic problem and the numerical results are compared with the parabolic approach.
Forecasting the Index of Financial Safety (IFS) of South Africa using neural networks

This paper investigates neural network tools, especially the nonlinear autoregressive model with exogenous input (NARX), to forecast the future conditions of the Index of Financial Safety (IFS) of South Africa. Based on the time series that was used to construct the IFS for South Africa (Matkovskyy, 2012), the NARX model was built to forecast the future values of this index and the results are benchmarked against that of Bayesian Vector-Autoregressive Models. The results show that the NARX model applied to IFS of South Africa and trained by the Levenberg-Marquardt algorithm may ensure a forecast of adequate quality with less computation expanses, compared to BVAR models with different priors.
Comparison the understanding of nurses and patients from tension associated with Type 2 diabetes

Introduction: The differences in the understanding of diabetes patients and health care staffs about psychological problems in patients with diabetes can be faced planning for the care of these patients with difficulty. In the literature review, no study was found that has investigated the understanding of the patients and medical personnel from psychological problems related to diabetes. Thus, the purpose of this study was to compare the perception of nurses and diabetic patients about tension associated with diabetes in patients with type 2 diabetes. Methods: In this descriptive-comparison study that was conducted in the internal wards of three educational hospitals affiliated to Tabriz University of Medical Sciences, 105 patients with type 2 diabetes and 101 nurses participated by convenience sampling. For data collection from researcher made Check list and problems with diabetes' questionnaires were used. Software SPSS version 13 and t-test for independent samples was used for statistical analysis. Results: The findings showed that the reported total score of tension by patients was 46 and a reported score by nurses was 65 that this difference was statistically significant (P = 0.001). Also, except for one item in other cases, nurses also reported tension level of the patients with diabetes more than themselves. Conclusion: Existence of differences between view point of the patients with diabetes and their nurses about the tension levels in patients with diabetes can create disturbance in providing of nursing care for these patients. More studies are needed to investigate the reasons for such differences.
Total and partial cloud amount detection during summer 2005 at Westerland (Sylt, Germany)

The detection of cloudiness is investigated by means of partial and total cloud amount estimations from pyrgeometer radiation measurements and visible all-sky imager observations. The measurements have been performed in Westerland, a seaside resort on the North Sea island of Sylt, Germany, during summer 2005. An improvement to previous studies on this subject resulting in the first time partial cloud amounts (PCAs), defined as cloud amounts without high clouds calculated from longwave downward radiation (LDR) according to the APCADA algorithm (Durr and Philipona, 2004), are validated against both human observations from the National Meteorological Servive DWD at the nearby airport of Sylt and digital all-sky imaging. The aim is to establish the APCADA scheme at a coastal midlatitude site for longterm observations of cloud cover and to quantify errors resulting from the different methods of detecting cloudiness. Differences between the resulting total cloud amounts (TCAs), defined as cloud amount for all-cloud situations, derived from the camera images and from human observations are within ±1 octa in 72% and within ±2 octa in 85% of the cases. Compared to human observations, PCA measurements, according to APCADA, underestimate the observed cloud cover in 47% of all cases and the differences are within ±1 octa in 60% and ±2 octa in 74% of all cases. Since high cirrus clouds can not be derived from LDR, separate comparisons for all cases without high clouds have been performed showing an agreement within ±1(2) octa in 73(90)% for PCA and also for camera-derived TCA. For this coastal mid-latitude site under investigation, we find similar though slightly smaller agreements to human observations as reported by Durr and Philipona (2004). Though limited to daytime, the cloud cover retrievals from the sky imager are not really affected by cirrus clouds and provide a more reliable cloud climatology for all-cloud conditions than APCADA.
The Reliability of a Video Analysis System (PnO Clinical Movement Data) and the Universal Goniometer in the Measurement of Hip, Knee, and Ankle Sagittal Plane Motion among Healthy Subjects

IntroductionThroughout the rehabilitation process, measuring joint range of motion (ROM) is essential to understand joint kinematics. The universal goniometer (UG) is the most common tool used in the clinical setting for joint ROM measurement. However, a review of the literature examining the reliability of the UG has demonstrated considerable variation in results and highlighted the necessity of introducing a more reliable tool. This study aimed to investigate the reliability of a two-dimensional video analysis system, PnO Clinical Movement Data (PnO CMD), compared with the UG. MethodsThree testers examined ROM of eight healthy candidates. Passive sagittal plane motion of the hip, knee, and ankle joint was measured with and without markers. Intraclass correlation coefficient (ICC) values greater than 0.60 were considered to be satisfactory. ResultsMost intratester ICC values for PnO CMD were found to be above the satisfactory limit (ICC = 0.60–0.99). Intratester ICC values for the UG ranged considerably (ICC = 0.34–0.94), and some values were below the satisfactory limit. Intertester ICC values across all the joints for PnO CMD with markers were found to be above the satisfactory limits (ICC = 0.94–0.99). Discussion and ConclusionsPnO Clinical Movement Data was found to be more reliable than the UG. Use of markers was found to increase the reliability. The present work introduces the use of advanced technology in joint ROM measurement.
High-Resolution Estimation of Summer Surface Air Temperature in the Canadian Arctic Archipelago

In the Canadian high Arctic patterns of temperature are poorly resolved at the mesoscale. This issue is addressed using a model to estimate mean summer surface air temperature at high spatial resolution. The effects on temperature of site elevation and coastal proximity were selected for parameterization. The spatial basis is a 1km resolution digital elevation model of the region. Lapse rates and resultant wind estimates were obtained from upper-air ascents. These were used to estimate the change in temperature with elevation based on the digital elevation model. Advection effects are handled using resultant winds, air temperature above the ocean, and distance to coast. Model results for 14-day runs were compared to observed data. The two effects captured much of the mesoscale variability of the Arctic climate, as shown by verification with point observational data. Sensitivity analyses were performed on the model to determine response to alterations in lapse rate calculation, sea surface temperature, and wind field generation. The model was most sensitive to the lapse rate calculation. The best results were obtained using a moderate lapse rate calculation, moderate wind field, and variable sea surface temperature.
After Backyard Environmentalism

This article develops a model of environmental regulation that promises to be at once more flexible, democratic, and effective than the familiar methods of central command or market-based control. Local units—such as firms, factories, or regional ecosystem management authorities—enjoy the autonomy to determine their environmental protection goals and methods to reach them. In exchange for this latitude, they report their plans and progress to central authorities that monitor local planning efforts and pool the information generated by them to formulate minimum performance standards and identify effective practices. This arrangement produces contextually tailored regulation, rich information feedback, and continuous adjustment of ends and means in light of new learning. Elements of this model have been adopted in large-scale reforms in areas as diverse as toxics use reduction, endangered species protection, and ecosystem management. Writ large, this model entails a fundamental reorientation of government institutions that the authors call neo-Madisonian.