Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification

We concern the problem of learning a Mahalanobis distance metric for improving nearest neighbor classification. Our work is built upon the large margin nearest neighbor (LMNN) classification framework. Due to the semidefiniteness constraint in the optimization problem of LMNN, it is not scalable in terms of the dimensionality of the input data. The original LMNN solver partially alleviates this problem by adopting alternating projection methods instead of standard interior-point methods. Still, at each iteration, the computation complexity is at least O(D3) (D is the dimension of input data). In this work, we propose a column generation based algorithm to solve the LMNN optimization problem much more efficiently. Our algorithm is much more scalable in tha tat each iteration, it does not need full eigen-decomposition. Instead, we only need to find the leading eigen value and its corresponding eigen vector, which is of O(D2) complexity. Experiments show the efficiency and efficacy of our algorithms.
Feature-based matching of animated meshes. (Correspondance de maillages dynamiques basée sur les caractéristiques)

Correspondance de forme est un probleme fondamental dans de nombreuses disciplines de recherche, tels que la geometrie algorithmique, vision par ordinateur et l'infographie. Communement definie comme un probleme de trouver injective/ multivaluee correspondance entre une source et une cible, il constitue une tâche centrale dans de nombreuses applications y compris le transfert de attributes, recuperation des formes etc. Dans recuperation des formes, on peut d'abord calculer la correspondance entre la forme de requete et les formes dans une base de donnees, puis obtenir le meilleure correspondance en utilisant une mesure de qualite de correspondance predefini. Il est egalement particulierement avantageuse dans les applications basees sur la modelisation statistique des formes. En encapsulant les proprietes statistiques de l'anatomie du sujet dans le model de forme, comme variations geometriques, des variations de densite, etc., il est utile non seulement pour l'analyse des structures anatomiques telles que des organes ou des os et leur variations valides, mais aussi pour apprendre les modele de deformation de la classe d'objets. Dans cette these, nous nous interessons a une enquete sur une nouvelle methode d'appariement de forme qui exploite grande redondance de l'information a partir des ensembles de donnees dynamiques, variables dans le temps. Recemment, une grande quantite de recherches ont ete effectuees en infographie sur l'etablissement de correspondances entre les mailles statiques (Anguelov, Srinivasan et al. 2005, Aiger, Mitra et al. 2008, Castellani, Cristani et al. 2008). Ces methodes reposent sur les caracteristiques geometriques ou les proprietes extrinseques/intrinseques des surfaces statiques (Lipman et Funkhouser 2009, Sun, Ovsjanikov et al. 2009, Ovsjanikov, Merigot et al. 2010, Kim, Lipman et al., 2011) pour elaguer efficacement les paires. Bien que l'utilisation de la caracteristique geometrique est encore un standard d'or, les methodes reposant uniquement sur l'information statique de formes peuvent generer dans les resultats de correspondance grossierement trompeurs lorsque les formes sont radicalement differentes ou ne contiennent pas suffisamment de caracteristiques geometriques. [. ]
Efficiency Enhancement of General AC Drive System by Remanufacturing Induction Motor With Interior Permanent-Magnet Rotor

Alternating-current motor drive systems consume the majority of global electricity, but most of them are still not efficient enough. This paper proposes a complete solution to the efficiency enhancement of general induction motor (IM) drive systems with the least cost and a high reliability. On the motor side, the squirrel-cage rotors of IMs are replaced with optimally designed interior permanent-magnet (PM) rotors without damping windings; meanwhile, other assemblies remained unchanged. Stators with both wye- and delta-connected windings are investigated, and super premium efficiency (IE4) is achieved on all the remanufactured motors in this paper. On the drive side, the maximum efficiency per ampere algorithm is realized based on the position-sensorless control to better exert the motor efficiency and reduce the system cost. For applications where an original IM is used under a grid drive, this paper safely switches the remanufactured interior PM synchronous motors from an inverter to the grid drive. A total of seven prototypes with different rated powers and velocities are remanufactured, and various experiments are provided as the verifications of the effectiveness and practicability of the proposed solution.
Counselors' Use of Functional Assessment: A Survey of Pennsylvania Counselors.

As people with disabilities are becoming more included in society, professional counselors are required to develop skills and identify tools to assess, counsel, and advocate for these clients. This article presents Pennsylvania counselors' definition of functional assessment and procedures, techniques, and instruments currently in use. Most counselors (70.5%) who responded to a survey questionnaire reported they do not use functional assessments. Counselors who did use functional assessments provided 182 definitions. A preliminary classification for the term "functional assessment" establishes two predominant domains that answer the questions "What" and "Why". Sub-categories established include: cognitive, social, emotional, activities of daily living, behavioral, academic, vocational, leisure, physical, and progress and change. Appendix A contains the Functional Assessment Survey and Appendix B presents a Preliminary List of Functional Assessments identified in the survey. (Contains 4 tables and 31 references.) (Author/JDM) Reproductions supplied by EDRS are the best that can be made from the original document. Running head: FUNCTIONAL ASSESSMENT Counselors' Use of Functional Assessment: A Survey of Pennsylvania Counselors Mildred D. Lane Duquesne University
Development of a ground-based Synthetic Aperture Radar for land deformation monitoring

Hazards involving ground movements and instabilities such as landslides, falling rocks or earth-falls can lead to considerable human and economic losses. Continuous monitoring of such regions can give insight into mechanisms and triggers of hazardous events. This paper discusses the design and development of a ground-based millimetre-wave Synthetic Aperture Radar (SAR) for land deformation monitoring. The proposed system will operate at 35 GHz with change detection capability of 10 mm using interferometry technique. It will be mounted on a 1.5 m linear guided rail for continuous monitoring of a test site at Cameron Highland, Malaysia.
Recurrent neural networks with fixed time convergence for linear and quadratic programming

In this paper, a new class of recurrent neural networks which solve linear and quadratic programs are presented. Their design is considered as a sliding mode control problem, where the network structure is based on the Karush-Kuhn-Tucker (KKT) optimality conditions with the KKT multipliers considered as control inputs to be implemented with fixed time stabilizing terms, instead of common used activation functions. Thus, the main feature of the proposed network is its fixed convergence time to the solution. That means, there is time independent to the initial conditions in which the network converges to the optimization solution. Simulations show the feasibility of the current approach.
Incremental Theory of Intelligence Moderated the Relationship between Prior Achievement and School Engagement in Chinese High School Students

School engagement plays a prominent role in promoting academic accomplishments. In contrast to the relative wealth of research that examined the impact of students’ school engagement on their academic achievement, considerably less research has investigated the effect of high school students’ prior achievement on their school engagement. The present study examined the relationship between prior achievement and school engagement among Chinese high school students. Based on the Dweck’s social-cognitive theory of motivation, we further examined the moderating effect of students’ theories of intelligence (TOIs) on this relationship. A total of 4036 (2066 girls) students from five public high school enrolled in grades 10 reported their high school entrance exam achievement in Chinese, Math and English, school engagement, and TOIs. Results showed that (a) students’ prior achievement predicted their behavioral, emotional, and cognitive engagement, respectively, and (b) the association between prior achievement and behavioral, emotional, and cognitive engagement is strong for students with an incremental theory but not for those with an entity theory in the emotional and cognitive engagement. These findings suggest that prior achievement and incremental theory were implicated in relation to adolescents’ school engagement. Implications and future research directions were discussed.
A Two-stage Speaker Adaptation Approach for Subspace Gaussian Mixture Model based Nonnative Speech Recognition

Nonnative speech recognition is becoming more and more important as many speech applications are deployed world wide. Meanwhile, due to the large population of nonnative speakers, speaker adaptation remains the most practical way for providing high performance speech services. Subspace Gaussian Mixture Model (SGMM) has recently been shown to yield superior performance on various native speech recognition tasks. In this paper, we investigated different speaker adaptation techniques of SGMM for nonnative speech recognition. A two-stage direct model adaptation approach has been proposed based on the analysis of SGMM model parameter functionalities. Our initial experiments have also veriﬁed that the proposed approach is much more effective than the traditional feature-space Maximum Likelihood Linear Regression(MLLR) on SGMM based nonnative speaker adaptation tasks.
Study of Market Scale and Share Estimation Methodology on Effective Feasibility Analysis of Government R&D Program Related to Information Technology

Standardizing the various benefits and performance features of the different government R&D programs is difficult. Associated Research results and benefit distinctions from preliminary feasibility data were used to draw benefit estimation hindrance factors. Analytic Hierarchy Process is used to identify the relative importance rank of benefit estimation hindrance factors. If Independence between benefit estimation hindrance factors fails to satisfy the evaluation criteria then, a model based on the fuzzy measure is applied. This is for drawing optimal evaluation results, In order to know the correlation between benefit distinctions and benefit estimation hindrance factors ordered digit model is utilized. In this paper, the R&D program related to Information Technology was classified into four categories. Finally a methodology for extracting a relevant market scale and a market share data is proposed.
Iterative DOA Estimation Using Subspace Tracking Methods and Adaptive Beamforming

To understand radio propagation structures and consider signal recovering techniques in mobile communications, it is most effective to estimate the signal parameters (e.g., DOA) of individual incoming waves. Also, in radar systems, it is required to discriminate the desired signal from interference. As one of the high-resolution DOA estimators, MUSIC and ESPRIT have attracted considerable attention in recent years. They need the eigenvectors of the correlation matrix and therefore we have to execute the EVD (eigenvalue decomposition) of correlation matrix. However, the EVD generally brings us a heavy computational load and as a result it is difficult to realize the real-time DOA estimator, which will be useful as a multibeam-forming algorithm for adaptive antennas. This paper focuses on MUSIC and ESPRIT using subspace tracking methods, such as BiSVD, PAST. and PASTd, to carry out iterative DOA estimation. Then, they are compared through computer simulation. Adaptive beamforming based on DCMP and MLM is also mentioned and an example is shown.
Fast Sequential FPGA Startup Based on Partial and Dynamic Reconfiguration

Due to their their high flexibility and their increasing logic resources, FPGAs can be found in a wider application range as in recent years. But especially in application domains, where only a very restricted power budget is available, FPGAs still have to compete with other solutions. To reduce the power consumption to a minimum, many devices use different kinds of power saving modes, called sleep modes. In those modes they sacrifice functionality for the benefit of a lower consumption. Taking this idea to the extreme, many devices are only powered when it is necessary. If not, they are released from their power supply and do not drain current at all. The realization of such a sleep mode for a SRAM-based FPGA leads to difficulties. This is caused due to the fact, that the volatile memory is used to save the configuration of the device. The configuration has to be reloaded into the device every time when reattaching the power to the FPGA. This circumstance leads to restrictions for the device deployment in some electronic systems since in many cases the time a device may use to wake up is strictly limited. In several use cases, the configuration time of a SRAM based FPGA exceeds this limitation. This paper describes to decrease the configuration time of a design by exploiting the method of dynamic and partial reconfiguration in order to enable the usage of a sleep mode. With the presented method, the configuration time of any Xilinx SRAM based FPGA from the identical series (e.g. Spartan) is independent from the size of the used device.
A Statistically − based Switching Algorithm for ATM Network

Computer networking technologies support high−speed transmission of information and services for multimedia applications that include voice, video and data traffic in a single access path. One of these technologies is Asynchronous Transfer Mode (ATM), which is a switching technology for information processing over the network and is the choice of Integrated Services Digital Networks (B−ISDN). ATM is a cell−based switching technology that traditionally used static−priority switching algorithms. Static priority algorithms however result in starvation of low priority cells in the presence of higher priority ones. The use of dynamic priority algorithms resolved the starvation problem and improved end−to−end Quality of Service (QOS). However, dynamic priority algorithms require more hardware and execution time relative to static [1−6]. The proposed algorithm is dynamic and optimal as far as extra hardware requirement and additional running time are concerned. Computer simulation is used to demonstrate its superiority over some of the existing dynamic priority techniques.
The Locus of the Gratton Effect in Picture-Word Interference

Between-trial effects in Stroop-like interference tasks are linked to differences in the amount of cognitive control. Trials following an incongruent trial show less interference, an effect suggested to result from the increased control caused by the incongruent previous trial (known as the Gratton effect). In this study, we show that cognitive control not only results in a different amount of interference but also in a different locus of the interference. That is, the stage of the task that shows the most interference changes as a function of the preceding trial. Using computational cognitive modeling, we explain these effects by a difference in the amount of processing of the irrelevant dimension of the stimulus.
Expression of the duck a-enoiase / t-crystallin gene in transgenic mice

464 0892-6638/93/0007-0464/$01 . 50. © FASEB sra4cr In many vertebrates, metabolic enzymes have been directly recruited to an additional structural role as crystalllns in the eye lens. In some species the glycolytic enzyme a.enolase (aENO) attains high concentrations in the lens, as ‘r-ciystallin (WRY). A line of transgenic mice was constructed containing the entire duck aENO/’rCRY gene with 5’and 3’-flanldng regions and all introns. Full-sized duck aENO mRNA was expressed in the transgenic mice with the same pattern as the endogenous mouse aENO isozyme. Although there was no evidence for tissue preference, the concentration of enolase increased markedly in transgenic lens as well as in other tissues. In spite of this, transgenic lenses were transparent and the animals were normal in appearance. The increase in enolase levels in the transgenic lens mimics the stepped increase that might occur in the early stages of enzyme crystallin recruitment. These results demonstrate that lens transparency is sufficiently robust to be refractory to some increase in metabolic enzyme concentration without the need for compensatory adaptation. -Kixn, R. Y. ; Wistow, G. J. Expression of the duck a-enolase/’r-crystallin gene in transgenic mice. FASE8J. 7, 464-469; 1993.
Evaluating the Market and Welfare Impacts of Agricultural Policies in Developed Countries: Comparison of Partial and General Equilibrium Measures

We revisit the question of choosing partial equilibrium or general equilibrium modeling in applied policy analysis in the context of evaluating the effects of a complete phase-out of the Common Agricultural Policy (CAP) of the European Union. We compare the results of three modelsi¾—two three-sector general equilibrium models (one with an additional major distortion in the nonagricultural sector) and a two-sector partial equilibrium model. We find that the market effects of a complete phase-out of the CAP are quite comparable across these models. On the other hand, the measured welfare impacts may depend on the modeling choice.
Distinct Isoforms of the Cofactor BAG-1 Differentially Affect Hsc70 Chaperone Function*

In the mammalian cytosol and nucleus the activity of the molecular chaperone Hsc70 is regulated by chaperone cofactors that modulate ATP binding and hydrolysis by Hsc70. Among such cofactors is the anti-apoptotic protein BAG-1. Remarkably, BAG-1 is expressed as multiple isoforms, which are distinguished by their amino termini. We investigated whether distinct isoforms differ with respect to their Hsc70-regulating activity. By comparing the mainly cytosolic isoforms BAG-1M and BAG-1S, opposite effects of the two isoforms were observed in chaperone-assisted folding reactions. Whereas BAG-1M was found to inhibit the Hsc70-mediated refolding of nonnative polypeptide substrates, the BAG-1S isoform stimulated Hsc70 chaperone activity. The opposite effects are not due to differences in the regulation of the ATPase activity of Hsc70 by the two isoforms. Both isoforms stimulated ATP hydrolysis by Hsc70 in an Hsp40-dependent manner through an acceleration of ADP-ATP exchange. Our results reveal that the different amino termini of the distinct BAG-1 isoforms determine the outcome of an Hsc70-mediated folding event, most likely by transiently interacting with the polypeptide substrate. Employing isoforms of a cofactor with different substrate binding properties appears to provide the means to influence the chaperone function of Hsc70 in addition to modulating its ATPase cycle.
[Study of translation and reliability of the Wisconsin personality disorders inventory (WISPI-IV)].

INTRODUCTION The Wisconsin personality disorders inventory (WISPI-IV) is a self report instrument for the assessment of DSM-IV personality disorders. The aim of this study was to translate the WISPI-IV into Spanish and report its internal consistency and temporal stability. METHODS The Spanish version was obtained by translation and back translation method, using two independent translators. Then 270 subjects of both genders, between 18 nd 65 years of age, who knew how to read and write and accepted to participate voluntarily were selected and answered the instrument. A subgroup of 20 subjects completed the instrument for the second time, at fifteen days of the first application. The analysis of internal consistency and coefficients of temporal stability were calculated with Cronbach's alpha coefficients and Pearson's correlation, respectively. RESULTS All Spanish version WISPI-VI scales mean scores and internal consistency coefficients were similar to their original counterparts (alphas=0.64-0.86). Except for avoidant personality disorder scale, test-retest coefficients were also moderate to high and statistically significant (r = 0.46-0.92). CONCLUSIONS The Spanish version of the WISPI-IV behaved similarity with the English version, and demonstrated adequate internal consistency and temporal stability coefficients to evaluate the presence of personalisty disorders.
Criminality and psychiatric disorders.

THE WIDESPREAD concern over the apparently increasing crime rate needs no documentation. The extent of criminal behavior may be suggested by the following quotation from the 1967 report entitled The Challenge of Crime in a Free Society of the President's Commission on Law Enforcement and Administration of Justice. "In the United States today, one boy in six is referred to the juvenile court. A Commission survey shows that in 1965 more than two million Americans were received in prisons or juvenile training schools, or placed on probation. " The report estimates that the annual cost of crime in the United States is about 21 billion dollars, of which about 4.2 billion dollars are for public expenditures such as police, courts, and prisons. The role of psychiatry in understanding and modifying this extensive and costly criminal behavior is not clear and is a subject of controversy. Since 1959, the senior author,
AppTrends: A graph-based mobile app recommendation system using usage history

With the advent of smartphones, mobile phones have evolved from a simple communication tool to a multipurpose device that affects every aspect of our daily life. The expansion of the mobile application market has made it difficult for smartphone users to find applications that fit their needs. Most prior research on application recommendation provides a limited solution to the problem of application overload. These recommendation techniques, developed outside of the mobile environment, have a number of limitations such as cold start problem and domain disparity. In this paper, we propose AppTrends, which incorporates a graph-based technique for application recommendation in the Android OS environment. Our experiment results obtained from the field usage record of over 4 million applications clearly show that the proposed graph-based recommendation model is more accurate than the Slope One Model.