Miracle-dz/UniFAR-FTUs huggingface dataset:
La enseñanza de la lectura y la escritura académicas mediante programas a lo largo del curriculum universitario: opción teórica, didáctica y de gestión

En este trabajo se aborda el desarrollo de la lectura y la escritura academicas y profesionales en el nivel universitario. En primer lugar, se justifica su ensenanza en Argentina, atendiendo al sistema universitario local, las caracteristicas de los estudiantes y las del discurso que deben abordar en ese nivel, lo que vuelve generalizable el planteo a otros contextos. Luego, se presenta como opcion pedagogica la instalacion de programas de lectura y escritura a lo largo de la carrera universitaria y sus requerimientos teoricos, metodologicos y de gestion: una teoria del aprendizaje, una teoria de contexto y lenguaje, una propuesta didactica y una de gestion academica. Se presenta la teoria del aprendizaje a traves del lenguaje de la Linguistica Sistemico Funcional (LSF); como teoria del lenguaje, se propone la teoria de genero y discurso en el marco de la LSF; como opcion didactica, la adaptacion de la pedagogia basada en generos formulada por la Escuela de Sydney y su adecuacion al contexto universitario argentino. Luego, se explicitan las caracteristicas de diseno de un programa, los problemas que presenta para su gestion y propuestas para su superacion. Finalmente, se enuncian algunos resultados de su implementacion.
Quantitative Spectroscopy of O Stars at Low Metallicity: O Dwarfs in NGC 346

We present the results of a detailed analysis of the properties of dwarf O-type stars in a metal-poor environment. High-resolution, high-quality ultraviolet and optical spectra of six O-type stars in the H II region NGC 346 have been obtained from a spectroscopic survey of O stars in the SMC. Stellar parameters and chemical abundances have been determined using non-LTE (NLTE) line-blanketed photospheric models calculated with TLUSTY. Additionally, we have modeled the spectra with the NLTE line-blanketed wind code CMFGEN to derive wind parameters. Stellar parameters, chemical abundances, and in particular iron abundances obtained with the two NLTE codes compare quite favorably. This consistency demonstrates that basic photospheric parameters of main-sequence O stars can be reliably determined using NLTE static model atmospheres. With the two NLTE codes, we need to introduce a microturbulent velocity to match the observed spectra. Our results hint at a decrease of the required microturbulent velocity from a value close to the sonic velocity in early O stars to a low value in late O stars. As in several recent studies of Galactic, LMC, and SMC stars, we derive effective temperatures lower than predicted from the widely used relation between spectral type and Teff, resulting in lower stellar luminosities and lower ionizing fluxes. From evolutionary tracks in the H-R diagram, we find the age 3 × 106 yr for NGC 346. A majority of the stars in our sample reveal CNO cycle-processed material at their surface during the main-sequence stage, thus indicating fast stellar rotation and/or very efficient mixing processes. We obtain an overall metallicity Z = 0.2 Z☉, in good agreement with other recent analyses of SMC stars. We study the dependence of the mass-loss rate on the stellar metallicity and find a satisfactory agreement with recent theoretical predictions for the three most luminous stars of the sample. The wind momentum-luminosity relation for our sample stars derived for these stars agrees with previous studies. However, the three other stars of our sample reveal very weak signatures of mass loss. We obtain mass-loss rates that are significantly lower than 10-8 M☉ yr-1, below the predictions of radiative line-driven wind theory by an order of magnitude or more. Furthermore, evidence of clumping in the wind of main-sequence O stars is provided by O V λ1371. As in previous studies of O star winds, we are unable to reproduce this line with homogeneous-wind models, but we have achieved very good fits with clumped models. Clumped-wind models systematically yield lower mass-loss rates than theoretical predictions.
CLOSED-LOOP INPUT SHAPING IN DISCRETE-TIME LTI SYSTEMS

Introduction For linear time-invariant (LTI) setpoint control systems, input shaping is a powerful technique to reduce residual vibrations in those systems as shown in [1]. The targeting trajectory can be optimized (e.g. minimize targeting time or energy consumption) through convex optimization techniques. A broad overview of real-time or nearly real-time applications has been given in [2]. Input shaping is usu-
Interference analysis among modernized GNSS

As the development and modernization of the Global Navigation Satellite System (GNSS), more and more navigation signals are occupying the same frequency band which is limited by International Telecommunications Union (ITU). Analysis and mitigation of interference among GNSS are becoming a hot topic. In this paper, we model three satellite navigation systems: GPS, Galileo and Compass based on the constellations and signals parameters published. According to the interference analysis methodology of GNSS recommended by ITU, the interference among these three navigation systems are simulated and analyzed. The simulation results show that: (1) Binary offset carrier (BOC) modulation signals introduced by the modernization of GNSS can mitigate the interferences over intrasystem. (2) The interference of intrasystem is much more serious than the interference of intersystem at most cases. This gives a good compatibility among navigation systems. (3) For GPS L1C, Galileo E1OS and Compass B1C1, the interference of intersystem is bigger than the interference of intrasystem, this give a common platform for these three navigation systems to interoperate with each other.
Modelling Geometric Deformations in Epi Time Series

Even after realignment there is residual movement-related variance present in fMRI time-series, causing loss of sensitivity and, potentially, also specificity. One cause is the differential deformation of the sampling matrix, by field inhomogeneities, at different object positions, i.e. a movement-by-inhomogeneity interaction. This has been addressed previously by using empirical field measurements. In the present paper we suggest a forward model of how data is affected by an inhomogeneous field at different object positions. From this model we derive a method to solve the inverse problem of estimating the field inhomogeneities, and their derivatives with respect to object position, directly from the EPI data and estimated realignment parameters. The field is modelled as a linear combination of cosine basis fields, that facilitates a fast way of implementing the necessary matrix operations. Simulations suggest that the solution is tractable, and that the fields are estimable given the deformed images and knowledge of the relative positions at which they have been acquired. An experiment on a subject performing voluntary movements in the scanner yielded plausible estimates of the deformation fields and their application to " unwarp " the time series significantly reduced movement-related variance.
Taxonomy of tree based classification algorithm

In this paper we are suggesting improvements over an existing C4.5 Algorithm. This is a very popular tree based classification algorithm, used to generate decision tree from a set of training examples. The heuristic function used in this algorithm is based on the concept of information entropy. We are proposing two new heuristic functions which are better than the one used by C4.5 Algorithm by some way or the other. First heuristic function is better in terms of execution time. Second heuristic function is more realistic, gives importance to realistic attributes and thus gives more accurate and reasonable results. So in this way we are proposing two new improvements over J48/C4.5 Algorithm. Throughout the paper we will be using two case studies (examples), one of weather and the other one of student classification for comparing the performance of algorithms.
Vocabulary-independent word confidence measure using subword features

This paper discusses how to compute word-level confidence measures based on sub-word features for large-vocabulary speaker-independent speech recognition. The performance of confidence measure using features at word, phone and senone level is experimentally studied. A framework of transformation function based system using sub-word features is proposed for high performance confidence estimation. In this system, discriminative training is used to optimize the parameters of the transformation function. In comparison to the baseline, experiments show that the proposed system reduces the equal error rate by 15%, with up to 40% false acceptance error reduction at various fixed false rejection rate. The combination of multiple features under the proposed framework is also discussed.
Prediction of neurological outcome after cardiopulmonary resuscitation by serial determination of serum neuron-specific enolase.

AIMS Data on the diagnostic accuracy of neuron-specific enolase (NSE) as marker of hypoxic brain damage are conflicting. The purpose of this prospective observational cohort study was to explore the prognostic value of serum NSE after cardiopulmonary resuscitation (CPR) and to define the most sensitive cutoff value with a specificity of 100% for the prediction of persistent coma. METHODS AND RESULTS Serum NSE concentrations were serially determined in 227 consecutive unconscious patients after CPR who were classified according to the best Glasgow-Pittsburgh cerebral performance categories (CPC, 1-4) achieved within 6 months follow-up. Sixteen patients were excluded due to incomplete NSE data and 34 due to death under analgesia sedation. The prevalence of poor neurological outcome (persistent coma, CPC 4) in our 177 analysed patients was 33%. At a specificity of 100%, a peak NSE concentration above 80 ng/mL predicted persistent coma with a sensitivity of 63%, a positive predictive value of 100%, a negative predictive value of 84%, and a predictive accuracy of 88%. CONCLUSION A peak serum NSE concentration exceeding 80 ng/mL is a highly specific but only moderately sensitive marker for a poor neurological outcome after CPR.
Deterministic phase guarantees for robust recovery in incoherent dictionaries

This paper presents a relaxation of an assumption usually imposed in the recovery of sparse vectors with random support in pairs of orthonormal bases or incoherent dictionaries by basis pursuit. The assumption requires the phases of the entries of the sparse vector to be chosen randomly in [0, 2π). This paper provides probabilistic recovery guarantees for deterministic phases. We prove that, if a phase pattern is fixed, then a sparse vector with random support and corresponding phases can be recovered with high probability. As a result, the phases can take any distribution and can be dependent, as long as they are independent of the support. Furthermore, this improvement does not come at the expense of the maximum recoverable sparsity.
Imaginary reality gaming: ball games without a ball

We present imaginary reality games, i.e., games that mimic the respective real world sport, such as basketball or soccer, except that there is no visible ball. The ball is virtual and players learn about its position only from watching each other act and a small amount of occasional auditory feed-back, e.g., when a person is receiving the ball. Imaginary reality games maintain many of the properties of physical sports, such as unencumbered play, physical exertion, and immediate social interaction between players. At the same time, they allow introducing game elements from video games, such as power-ups, non-realistic physics, and player balancing. Most importantly, they create a new game dynamic around the notion of the invisible ball. To allow players to successfully interact with the invisible ball, we have created a physics engine that evaluates all plausible ball trajectories in parallel, allowing the game engine to select the trajectory that leads to the most enjoyable game play while still favoring skillful play.
Bodo Heimann Model-based Feedforward Control in Industrial Robotics

Simple linear joint controllers are still used in typical industrial robotic systems. The use of these controllers leads to non-negligible dynamic path deviations for applications that require high path accuracy. These deviations result from the strong influence of nonlinearities, such as multi-body dynamics and gear friction. Sophisticated nonlinear control algorithms, known from the literature, are still not used because they usually require an expensive change of the control architecture. Therefore, different compensation methods are compared in this paper which reduce the path deviations by correction of the desired trajectory. This means that no torque interface is required, only an interface for path corrections is necessary. Such an interface normally exists so that the methods can simply be implemented within standard industrial controls. Using the industrial robot Siemens manutec-r15 the methods are experimentally compared with respect to their efficiency and practical applicability. Starting from this, one method is chosen for application to the stateof-the-art industrial robot KUKA KR15. The algorithm is based on a complete nonlinear dynamic model of the robot. It is integrated into the standard control KRC1. The experimental results prove the efficiency and the industrial applicability of the method. KEY WORDS—Industrial robots, modelling, dynamics, feedforward control
Discussion Paper No . 2003 / 84 Loan Processing Costs and Information Asymmetries — Implications for Financial Sector Development and Economic Growth

The paper presents a model in which credit-constrained firms might delay the adoption of new and more productive technologies because of the very high external financing costs they face. Our point of departure is that the efficiency of the banking system can have a profound impact on real resource and investment allocation not only directly, by reducing the amount of resources channelled to the credit market, but also indirectly by affecting entrepreneurs’ investment decisions. Along these lines of reasoning we develop a model of information asymmetries in the credit market in which high costs of processing bank loan applications might obstruct investments in high-tech projects and favour, instead, low-return, self-financed investments in mature sectors. The result is that these kinds of costs have a negative impact on the average capital productivity and on the rate of economic growth. In specific circumstances, the combination of these . /.
Statistical Optimality in Multipartite Ranking and Ordinal Regression

Statistical optimality in multipartite ranking is investigated as an extension of bipartite ranking. We consider the optimality of ranking algorithms through minimization of the theoretical risk which combines pairwise ranking errors of ordinal categories with differential ranking costs. The extension shows that for a certain class of convex loss functions including exponential loss, the optimal ranking function can be represented as a ratio of weighted conditional probability of upper categories to lower categories, where the weights are given by the misranking costs. This result also bridges traditional ranking methods such as proportional odds model in statistics with various ranking algorithms in machine learning. Further, the analysis of multipartite ranking with different costs provides a new perspective on non-smooth list-wise ranking measures such as the discounted cumulative gain and preference learning. We illustrate our findings with simulation study and real data analysis.
Definition of spam 2.0: New spamming boom

The most widely recognized form of spam is e-mail spam, however the term “spam” is used to describe similar abuses in other media and mediums. Spam 2.0 (or Web 2.0 Spam) is refereed to as spam content that is hosted on online Web 2.0 applications. In this paper: we provide a definition of Spam 2.0, identify and explain different entities within Spam 2.0, discuss new difficulties associated with Spam 2.0, outline its significance, and list possible countermeasure. The aim of this paper is to provide the reader with a complete understanding of this new form of spamming.
Dynamic Field of View Reduction Related to Subjective Sickness Measures in an HMD-based Data Analysis Task

Various factors influence the degree of cybersickness a user can suffer in an immersive virtual environment, some of which can be controlled without adapting the virtual environment itself. When using HMDs, one example is the size of the field of view. However, the degree to which factors like this can be manipulated without affecting the user negatively in other ways is limited. Another prominent characteristic of cybersickness is that it affects individuals very differently. Therefore, to account for both the possible disruptive nature of alleviating factors and the high interpersonal variance, a promising approach may be to intervene only in cases where users experience discomfort symptoms, and only as much as necessary. Thus, we conducted a first experiment, where the field of view was decreased when people feel uncomfortable, to evaluate the possible positive impact on sickness and negative influence on presence. While we found no significant evidence for any of these possible effects, interesting further results and observations were made.
Fuzzy-based-admittance controller for safe natural human–robot interaction

ABSTRACT In recent years, a great amount of research on physical human–robot interaction has been conducted, and mainly concentrated on safety issues to minimize the risk of accidents to the operator during the cooperation between human and robot. Unfortunately, the identification of inertia and damping matrices in the dynamic admittance model is time-consuming, which is still an open problem of previous admittance controllers. Additionally, the natural cooperation is that cooperative movements are implemented in every degree of freedom in space, which is rarely concerned while it is important to implement more complex cooperative movements, and to help operator feels naturally during the cooperation. This paper presents an alternative admittance controller based on inference mechanism of fuzzy logic to eliminate the identification of inertia and damping matrices during the process of controller formulation in which the end-effector’s velocity is adaptively adjusted via external wrench (force/torque measured by a sensor mounted on end-effector) and power transmitted by the robot. Moreover, the proposed controller also considers end-effector’s full DOF to guarantee the natural human–robot interaction. The fuzzy-admittance controller is evaluated by an experimental set-up of teaching task using 6-DOF manipulator in which manipulator moves passively via the human impact on real-time force/torque sensor mounted on end-effector. GRAPHICAL ABSTRACT
Role of fault branches in earthquake rupture dynamics

[1] We analyze earthquake ruptures propagating along a straight “main” fault and encountering a finite-length branch fault. Such intersections are often observed in natural fault systems. The predicted effects of the interaction with the branch that we report can be remarkable; they can strongly perturb the propagation velocity on the main fault and, in some cases, even arrest that propagation. Earlier work (Kame et al., 2003; Bhat et al., 2004) emphasized the role of the fault pre-stress state, branch geometry (i.e., branching angle), and the incoming rupture velocity at the branching junction in determining whether the rupture would follow the branch or continue on the main fault or both, through simulations which did not let a rupture on the branch encounter a barrier or a fault end (called ‘infinite’ branch cases henceforth). In this study we look at “finite” branch cases, and study the effect also of branch length, with rupture being blocked from propagation beyond the branch end. It is known that sudden stoppage of a dynamic rupture front leads to the propagation of large dynamic stress perturbations in the medium. These have been known to nucleate or terminate ruptures on adjacent fault segments (Harris et al., 1991; Harris and Day, 1993, 1999; Harris et al., 2002; Fliss et al., 2005, among others). We thus anticipate interaction between the rupture on the main fault and the branched one at two stages, when the rupture is propagating on the branch and when it is suddenly blocked at the branch end. We show that in general rupture termination on a compressional branch little affects propagation on the main fault compared to the infinite branch cases. For branches on the extensional side, we show in some cases, that whereas an infinite' branch would have allowed (or stopped) rupture propagation on the main fault, a finite branch stops (or allows) propagation on the main fault. Such results have a dependence on branch length that we document. We also illustrate branch-related complexities in rupture velocity evolution which could be one of the sources of the high-frequency content of strong ground motion record. Complexities in the slip distribution, often associated with a presumed heterogeneous strength distribution along the fault, can also be observed when rupture is terminated on a branch.
Learning while filtering documents

This paper examines the problems of learning queries and dissemination thresholds from relevance feedback in a dynamic information filtering environment. It revisits the EG algorithm for learning queries, identifying several problems in using it reliably for information filtering, and providing solutions. It also presents a new algorithm for learning dissemination thresholds automatically, from the same relevance feedback information used to learn queries.
Twitch response of intact human tibialis anterior muscle to doublet stimulation at graded strengths

The purpose of this project was to determine if the properties of doublet force twitches change with recruitment level. Isometric, human tibialis anterior force twitches were measured in response to singlet and doublet stimulation at several recruitment levels for eight healthy subjects. All doublets showed nonlinear force summation. When normalized to singlet responses at the equivalent recruitment level, doublet peak force, torque-time integral, half pulse width and half decay time changed with recruitment while start time and contraction time did not. Although the number of subjects was small, the results suggest that caution must be exercised when extending doublet properties at full recruitment to partial recruitment conditions.
A Trust-related and Energy-concerned Distributed MANET clustering design

Clustering solution is the most widely used layer-structure in mobile ad-hoc networks (MANETs) nowadays. This paper presents a concise trust-related and energy-concerned distributed MANET clustering protocol-TEDMC, which selects cluster heads according to their trust values and residual energy. TEDMC effectively extends the message of HELLO and needn¿t any assumptions about node distribution or location-awareness. Simulation results show that TEDMC can effectively resist malicious nodes as well as avoid the instability caused by energy deficiency. Which validates the good distributing character of cluster heads with TEDMC protocol environments.