Miracle-dz/UniFAR-FTUs huggingface dataset:
Discussion Paper No . 646 VICKEREY ALLOCATION RULE WITH INCOME EFFECT

We consider situations where a society tries to efficiently allocate several homogeneous and indivisible goods among agents. Each agent receives at most one unit of the good. For example, suppose that a government wishes to allocate a fixed number of licenses to operate in its country to private companies with highest abilities to utilize the licenses. Usually companies with higher abilities can make more profits by licenses and are willing to pay higher prices for them. Thus, auction mechanisms are often employed to extract the information on companies' abilities and to allocate licenses efficiently. However, if prices are too high, they may damage companies' abilities to operate. Generally high prices may change the benefits agents obtain from the goods unless agents' preferences are quasi-linear, and we call it " income effect ". In this paper, we establish that on domains including nonquasi-linear preferences, that is, preferences exhibiting income effect, an allocation rule which satisfies Pareto-efficiency, strategy-proofness, individual rationality, and nonnegative payment uniquely exists and it is the Vickrey allocation rule. 1 This article is dedicated to the memory of the late Jennifer Mao, who motivated Serizawa to analyze the problem addressed in this article. We thank the participants of the Seventh International Meeting of Social Choice and Welfare (2004, July) and Rokko Forum of Kobe University (2005 December) for their useful comments on the first version, and we also thank Professor Masaki Aoyagi for his helpful comments.
An intelligent cane walker robot based on force control

In this research, an intelligent cane walker robot is proposed to assist walking comfortably and conveniently. Firstly, a dynamic model describing the robot walking is established to analysis the relationship between input from user and output from sensors. Then the user's intention is obtained via the neural network by making the research on application of the movement and analyzing the information of force and status in ordinary cane. The intelligent cane walker robot can be designed in line with user's gait and intention. What's more, the strategy based on the force control is proposed to improve the accuracy of movement. Simulation results of robot movement show that, the strategy is efficient and feasible.
Visualization of web spaces: state of the art and future directions

The World Wide Web is a dominant global communication medium and knowledge repository. It is used by a great number of people with a variety of computer skills hence its usability is critical. As with many large information collections, the challenge with web usability is understanding the structure of a collection of information objects (web pages) to find relevant ones for satisfying a specific information need. Web sites are organized in a hyperlinked structure that somewhat addresses this challenge. However, this "connectedness" also causes the now well-known "lost in cyberspace" phenomenon where one may get confused within the complex organization of a web site. Meanwhile, information exploration on the web is not limited to browsing a web site. The problem of finding relevant information applies to a collection of pages that come from various web sites as in the case of the results of a "less than perfectly constructed" search query. Information visualization has been proposed as a way to cope with these problems by taking advantage of people's innate perceptual skills to support their cognitive skills. Many paradigms have been proposed for the visual presentation of web spaces (i.e. structured or unstructured collection of web pages). This study surveys these paradigms to provide a map of where the research in this field is, and what directions future research and practice can take. For this, we introduce a classification scheme to help in the systematic understanding of web visualization and for providing a framework for the development of future visualizations.
Detection, prediction, and avoidance of dynamic obstacles in urban environments

We present an approach for robust detection, prediction, and avoidance of dynamic obstacles in urban environments. After detecting a dynamic obstacle, our approach exploits structure in the environment where possible to generate a set of likely hypotheses for the future behavior of the obstacle and efficiently incorporates these hypotheses into the planning process to produce safe actions. The techniques presented are very general and can be used with a wide range of sensors and planning algorithms. We present results from an implementation on an autonomous passenger vehicle that has traveled thousands of miles in populated urban environments and won first place in the DARPA Urban Challenge.
A linguistic gap in translation: A case of English to Xichangana/Xitsonga of Zimbabwe

This study falls under the discipline of translation studies, which may sometimes be referred to as applied cultural linguistics. The aim of this study is to critically analyse linguistic challenges encountered in translations between Zimbabwean Xichangana/Xitsonga and English. In this study a qualitative approach is employed. The instruments used for data collection are interviews and document analysis. Thematic content analysis was employed to analyse the data. The theoretical framework which was taken into consideration is the linguistic theory since the focus of this study is on linguistic matters in translation. What gave rise to this research is the observation that many official documents in Zimbabwe are written in English and then translated mostly into either Chishona or isiNdebele, while formerly marginalised languages such as Xichangana are neglected. In fact, where translations are done into these marginalised languages, they are abridged versions of the original documents which are translated in full in the formerly so-called national languages. As a result, translation work in this language still lags behind and shows that there are still some linguistic challenges. This paper therefore seeks to find solutions to these challenges and to improve the quality of translations involving this language.
Viewing all models as “probabilistic”

In order to apply the Minimum Description Length Principle, one must associate each model in the model class under consideration with a corresponding code. For probabilistic model classes, there is a principled and generally agreed-upon method for doing this; for non-probabilistic model classes (i.e. classes of functions together with associated error functions) it is not so clear how to do this. Here, we present a new method for associating codes with models that works for probabilistic and non-probabilistic model classes alike. Our method can be re-interpreted as mapping arbitrary model classes to associated classes of probability distributions. The method can therefore also be applied in a Bayesian context. In contrast to earlier proposals by Barron, Yamanishi and Rissanen and to the ad-hoc solutions found in applications of MDL, our method involveslearning the optimal scaling factor in the mapping from models to codes/probability distributions from the data at hand. We show that this method satisfies several optimality properties. We present several theorems that suggest that with the help of our mapping of models to codes, one can successfully learn using MDL and/or Bayesian methods when (1) almost arbitrary model classes and error functions are allowed, and (2) none of the models in the class under consideration are close to the ‘truth’ that generates the data.
An Epsilon Hierarchical Fuzzy Twin Support Vector Regression

The research presents epsilon hierarchical fuzzy twin support vector regression based on epsilon fuzzy twin support vector regression and epsilon twin support vector regression. Epsilon FTSVR is achieved by incorporating trapezoidal fuzzy numbers to epsilon TSVR which takes care of uncertainty existing in forecasting problems. Epsilon FTSVR determines a pair of epsilon insensitive proximal functions by solving two related quadratic programming problems. The structural risk minimization principle is implemented by introducing regularization term in primal problems of epsilon FTSVR. This yields dual stable positive definite problems which improves regression performance. Epsilon FTSVR is then reformulated as epsilon HFTSVR consisting of a set of hierarchical layers each containing epsilon FTSVR. Experimental results on both synthetic and real datasets reveal that epsilon HFTSVR has remarkable generalization performance with minimum training time.
Min-max model predictive control of a laboratory plant

This work describes the application of a Min-Max predictive controller to a control laboratory plant. Min-max formulations of Model Based Predictive Control (MBPC) are one of the possible approaches in the literature to deal with the control of plants subject to bounded uncertainties. One of the drawbacks of Min-Max MBPC is the amount of calculation required to find a control sequence. The controller used in this paper is relatively efficient numerically: the control sequence is calculated solving a linear programming problem with a reasonable number of constraints. This allows the calculation time to be small enough to apply the controller to reasonably fast real systems. The Min-Max MBPC was tested on-line in a two-tank laboratory plant under different working situations to check the robustness, stability and general performance of the designed controller. The results are quite encouraging.
Contextual Anomaly Detection in Text Data

We propose using side information to further inform anomaly detection algorithms of the semantic context of the text data they are analyzing, thereby considering both divergence from the statistical pattern seen in particular datasets and divergence seen from more general semantic expectations. Computational experiments show that our algorithm performs as expected on data that reflect real-world events with contextual ambiguity, while replicating conventional clustering on data that are either too specialized or generic to result in contextual information being actionable. These results suggest that our algorithm could potentially reduce false positive rates in existing anomaly detection systems.
A first investigation into the effectiveness of Tactons

This paper reports two experiments relating to the design of Tactons (or tactile icons). The first experiment investigated perception of vibro-tactile "roughness" (created using amplitude modulated sinusoids), and the results indicated that roughness could be used as a parameter for constructing Tactons. The second experiment is the first full evaluation of Tactons, and uses three values of roughness identified in the first experiment, along with three rhythms to create a set of Tactons. The results of this experiment showed that Tactons could be a successful means of communicating information in user interfaces, with an overall recognition rate of 71%, and recognition rates of 93% for rhythm and 80% for roughness.
Robust phase unwrapping by convex optimization

The 2-D phase unwrapping problem aims at retrieving a “phase” image from its modulo 2π observations. Many applications, such as interferometry or synthetic aperture radar imaging, are concerned by this problem since they proceed by recording complex or modulated data from which a “wrapped” phase is extracted. Although 1-D phase unwrapping is trivial, a challenge remains in higher dimensions to overcome two common problems: noise and discontinuities in the true phase image. In contrast to state-of-the-art techniques, this work aims at simultaneously unwrap and denoise the phase image. We propose a robust convex optimization approach that enforces data fidelity constraints expressed in the corrupted phase derivative domain while promoting a sparse phase prior. The resulting optimization problem is solved by the Chambolle-Pock primal-dual scheme. We show that under different observation noise levels, our approach compares favorably to those that perform the unwrapping and denoising in two separate steps.
Steel–concrete composite shear walls using precast high performance fiber reinforced concrete panels

In this research, seismic performance of composite steel plate shear walls (CSPSWs) using high performance fiber reinforced concrete (HPFRC) panels is experimentally and numerically investigated. Three one‐story one‐bay CSPSW specimens using precast HPFRC panels were designed and fabricated for cyclic quasi‐static experiments. The HPFRC panels of composite shear wall specimens did not have any steel rebars. The main purpose of the study was to understand the effects of rigid and semirigid HPFRC panels on the seismic behavior of the system. Shear capacity, ultimate shear strength, lateral stiffness, energy dissipation, and ductility ratios of the specimens are evaluated.
Transcriptional regulators TRIM28, SETDB1, and TP53 are aberrantly expressed in porcine embryos produced by in vitro fertilization in comparison to in vivo- and somatic-cell nuclear transfer-derived embryos

In vitro embryo production is important for research in animal reproduction, embryo transfer, transgenics, and cloning. Yet, in vitro‐fertilized (IVF) embryos are generally developmentally delayed and are inferior to in vivo‐derived (IVV) embryos; this discrepancy is likely a result of aberrant gene expression. Transcription of three genes implicated to be important in normal preimplantation embryo development, TRIM28, SETDB1, and TP53, was determined by quanitative PCR in IVF, somatic‐cell nuclear transfer (SCNT), parthenogenetic, and IVV porcine oocytes and embryos. There was no difference in TRIM28 or SETDB1 abundance between oocytes matured in vitro versus in vivo (P > 0.05), whereas TP53 levels were higher in in vitro‐matured oocytes. TRIM28 increased from metaphase‐II oocytes to the 4‐cell and blastocyst stages in IVF embryos, whereas IVV embryos showed a reduction in TRIM28 abundance from maturation throughout development. The relative abundance of TP53 increased by the blastocyst stage in all treatment groups, but was higher in IVF embryos compared to IVV and SCNT embryos. In contrast, SETDB1 transcript levels decreased from the 2‐cell to blastocyst stage in all treatments. For each gene analyzed, SCNT embryos of both hard‐to‐clone and easy‐to‐clone cell lines were more comparable to IVV than IVF embryos. Knockdown of TRIM28 also had no effect on blastocyst development or expression of SETDB1 or TP53. Thus, TRIM28, SETDB1, and TP53 are dynamically expressed in porcine oocytes and embryos. Furthermore, TRIM28 and TP53 abundances in IVV and SCNT embryos are similar, but different from quantities in IVF embryos. Mol. Reprod. Dev. 81: 552–556, 2014. © 2014 The Authors. Published by Wiley Periodicals, Inc.
Spontaneous Erection and Ejaculation Caused by Escitalopram

Sexual dysfunction (SD) caused by antidepressants is a common problem encountered in psychiatry outpatient clinics. Documented frequency of this side effect varies in accordance with physician’s inquiry. While questioning about sexual side effects, physicians mostly consider the loss of sexual desire and delay in erection and ejaculation. However, the fact that some selective serotonin reuptake inhibitors (SSRIs) can cause spontaneous erection or spontaneous ejaculation without erection, should not be neglected. This study presents a case of 40-year-old male patient with spontaneous erection and spontaneous ejaculation after escitalopram therapy. It was observed that when treatment with escitalopram was discontinued and citalopram was initiated, these current sexual side effects have changed and loss of sexual desire and delay in ejaculation has begun. The present case is regarding the different sexual side effects caused by similar drugs in the same patient.
Sommario/ Abstract

Questo lavoro affronta il problema di selezionare e comporre risorse di elarning nel Semantic Web. Il punto di partenza e` costituito dal framework SCORM, utilizzato per la rappresentazione di learning object. Viene avanzata una proposta per arricchire la rappresentazione con informazione di tipo semantico, riguardante le competenze che consente l'uso di tecniche di ragionamento automatico, ottenendo in questo modo forme diadattatività derivate dall'area di ricerca sugli adaptive educational hypermedia. La descrizione delle strategie di insegnamento basata sulle competenze piuttosto che su risorse specifiche apre la via a scenari di Semantic Web in cui le risorse di learning sono distribuite sulla rete ed i sistemi di ragionamento possono automaticamente selezionarle e comporle a seconda delle esigenze degli utenti. I vantaggi sono un aumento del riutilizzo delle risorse e una maggiore apertura dei sistemi. In this work the problem of selecting and composing learning resources in the Semantic Web is considered. The starting point is the SCORM framework, used for learning object representation. A proposal is done for enriching the representation with semantic information about competences, that enables the use of automated reasoning techniques, thus achieving forms of adaptation taken from the fields of adaptive educational hypermedia. The description of learning strategies based on competences, rather than on specific resources, opens the way to Semantic Web scenarios where learning resources are distributed over the network and reasoning systems can automatically select and compose them according to the user's needs. The advantages are an increase of reuse of the resources and a greater openness.
Determination of Some Morphological Traits and Genetic Factor of Two Species of Liriomyza spp (Diptera: Agromyzidae) on the Climbing Beans and Tomato Crops

This study was carried out to study some morphological parts of adult male of Liriomyza spp, including the antenna, the femur and the middle vein (Cu Al), as well as the shape of mines that larvae made them on the leaves. Results showed that there were two species of L.bryoinae on tomato crop and L.sativae on climbing beans crop, this was agreed with the molecular study that it was conducted using the RAPD Random Amplification of Polymorphic DNA based on the PCR technique to determine genetic variability of DNA that it was extraction from adults and pupae and obtained a quantity of it ranged from (35-556.9) mg and purity ranged between (1.7-2). The RAPD markers were studied using 19 random primers, 13 of which showed a bands and 6 of them didn’t show any bands, the total number of bands loci were 53 loci, 23 of which were main bands and 30 were polymorphism and genetic analysis was performed based on these results. The genetic distance was found and lowest was (0.125) among adults and pupae of bean crop and higher distance was (0.323) the among the adults and the pupae of the tomato crop and the genetic distance between the tomato pupae and bean pupae was (0.185), according to this values the genetic relationship was found which was the tomato adult's species was independent and the genetic relationship between Adults and pupae have closest. Results showed that the pupae which were taken from the crops, there are two species of Liriomyza spp .
Transdisciplinarity in Information Systems: Extended Reflections

In this paper, we review the concept of transdisciplinarity with emphasis on its value for Information Systems (IS) theory and practice. In keeping with prevailing research on this topic, we study the relation between IS research and concepts originating from theoretical debates around disciplinarity. In particular, we attempt to deepen the understanding of transdisciplinarity as a means of overcoming (or extending) prevailing disciplinary undertakings. We attempt to locate the concept, thus, within the theoretical ambit of IS, especially concerning issues of relevance and impact ‐ two fundamental properties of transdisciplinarity. We build towards new or extended applications of transdisciplinary in the Information Systems with reference to Information and Communication Technology for Development (ICT4D). In conclusion, we note the disciplinary competencies that underpin transdisciplinary approaches.
Self-Employment as a Career Choice: Attitudes, Entrepreneurial Intentions, and Utility Maximization

This paper investigates the relationship between career choice and people's attitudes toward income, independence, risk, and work effort. Entrepreneurs are often described in terms of the strength or weakness of their attitudes in these dimensions. Conjoint analysis was used to determine the significance and nature of these attitudes in choosing one Job over another. We also investigated the effect these attitudes have on the intention to start one's own business. Significant relationships were found between the utility expected from a job and the independence, risk, and income it offered. Similarly, the strength of intention to become self-employed was significantly related to the respondents' tolerance for risk and their preference for independence.
Parallel controlled conspiracy number search

Tree search algorithms play an important role in many applications in the field of artificial intelligence. When playing board games like chess etc., computers use game tree search algorithms to evaluate a position. In this paper, we present a procedure that we call Parallel Controlled Conspiracy Number Search (Parallel CCNS). Shortly, we describe the principles of the sequential CCNS algorithm, which bases its approximation-results on irregular subtrees of the entire game tree. We have parallelized CCNS and implemented it in our chess program P. ConNerS, which now is the first in the world, that could win a high-ranked Grandmaster chess-tournament. We add experiments that show a speedup of about 50 on 159 processors running on an SCI-workstation-cluster.
Dynamics of over-constrained rigid and flexible multibody systems

the present paper deals with the problems of dynamic simulation of over-constrained multibody systems applied in different motion and power transferring mechanical devices, self-locking mechanisms, etc. The elasticity of the links is taken into account. Generalized Newton-Euler dynamic equations are applied for the case of finite element discretization of flexible links. An approach of decomposition of the mechanisms in the singular configurations is proposed. Relative and absolute nodal coordinates are used. The method substitutes the kinematic constraints by elastic forces. An example of dynamic analysis of over-constrained mechanisms is presented.
Sparse Probabilistic Linear Discriminant Analysis for Speaker Verification

This paper introduces an approach based on a generative model named Sparse Probabilistic Linear Discriminan-t Analysis in speaker veriﬁcation. The model provides an alternative approach to deal with the non-Gaussian behavior of the latent variables, directly assuming they are based on Laplace prior. This distribution encourages the model to set many latent variables to zero. An expectation-maximization algorithm is derived to train model with a variational approximation to a range of heavy-tailed distributions whose limit is the Laplace. The variational approximation is also used to compute of likelihood ratio. This approach performed well on the tel-tel extended condition of the NIST 2010 Speaker Recognition Evaluation, and is competitive compared to the Gaussian Probabilistic Linear Discriminant Analysis, in terms of normalized Decision Cost Function and Equal Error Rate