Miracle-dz/UniFAR-FTUs huggingface dataset:
Counting gauge invariant operators in SQCD with classical gauge groups

We use the plethystic programme and the Molien-Weyl fomula to compute generating functions, or Hilbert Series, which count gauge invariant operators in SQCD with the SO and Sp gauge groups. The character expansion technique indicates how the global symmetries are encoded in the generating functions. We obtain a general expression of the character expansion for each theory with arbitrary numbers of colours and flavours. We study the orientifold action on SQCD with the SU gauge group and examine how it gives rise to SQCD with the SO and Sp gauge groups. We establish that the classical moduli space of SQCD is not only irreducible, but is also an affine Calabi-Yau cone over a weighted projective variety.
Research and Implementation of Single Memory Space under Clusters

In order to simplify the complexity of management and programming of clusters, this article provides a method of implementing single memory space under the clusters. It adopts hardware assisted virtualization technology of the modern mainstream processors, and combines with distributed shared memory algorithms to integrate multi-machine resources. It implements a single physical address space of COMA structure under hardware assisted strategy and unified management as well as utilization of multi-machine memory. And also the system design and implementation are described
Concerns, Expectations and Perception Regarding Stature, Physical Appearance and Psychosocial Functioning before and during High-Dose Growth Hormone Treatment of Short Pre-pubertal Children Born Small for Gestational Age

Background/Aims: Few data are available about parental concerns and psychosocial functioning of young children born small for gestational age (SGA) treated with growth hormone (GH). The present study focused on the perception of short stature and the concerns and expectations of the parents regarding GH treatment. Methods: Forty prepubertal short SGA children, randomized into a GH-treated and a GH-untreated group, and their parents were evaluated by a questionnaire and a semi-structured interview at start and after 2 years of follow-up. Results: Before start, 85% of the parents were concerned about short stature, 76% expected an increase in adult height of ≧10 cm and 81% expected a positive impact on well-being. Half of the parents expressed fears regarding GH treatment. After 2 years, more parents of treated children reported obvious growth and physical changes, and fewer parents reported teasing because of short stature. An improvement of well-being was reported by half of the parents of treated and untreated children. Fears about GH treatment disappeared almost completely. Conclusion: The perspective of GH treatment induced major adult height expectations. In treated children, the physical effects of GH treatment became obvious, teasing because of short stature decreased and initial concerns about short stature and GH therapy decreased.
The effect of a perceptual syntax on the learnability of novel concepts

Language theorists argue that the reason why spoken language is acquired so rapidly is that we have an innate predisposition for understanding linguistic structures. Theories of perception also hold that there may be deeply seated mechanisms for decomposing visual objects and analyzing them into both component parts and the structural interrelationships of those parts. We propose the theory that diagrams that activate the mechanisms for structural object perception should be similarly easy to learn. This builds on previous work in which we have developed diagramming principles based on the theory of structural object perception. We call these geon diagrams. We have previously shown that such diagrams are easy to remember and to analyze. To evaluate our hypothesis that geon diagrams should also be easy to understand we carried out an empirical study to evaluate the learnability of geon diagram semantics in comparison with the well-established UML convention. The results support our theory of learnability. Both "novices" and "experts" found the geon diagram syntax easier to apply in a diagram-to-textual description matching task than the equivalent UML syntax.
Overview of e-mail SPAM elimination and its efficiency

Permanently changing nature of SPAM (hereinafter only in the sense of unsolicited e-mail messages thus intentionally neglecting other SPAM types) causes that it is almost impossible to find any single mechanism protecting against SPAM for long-term periods. Multi-layer protection is usually applied to SPAM elimination therefore. Especially blacklisting and greylisting have been proven to be extremely useful because they can eliminate significant part of SPAM messages even before their delivery. The article gives an overview of existing SPAM elimination methods, motivates and describes multilayer anti-SPAM mechanisms and analyses the behavior and the efficiency of the key components of a multilayer system. Weaknesses of the analyzed methods (especially blacklisting and greylisting) are mentioned, too, and recommendations formulated, both based on the author's own measurements.
Brain injury, neuroinflammation and Alzheimer's disease

With as many as 300,000 United States troops in Iraq and Afghanistan having suffered head injuries (Miller, 2012), traumatic brain injury (TBI) has garnered much recent attention. While the cause and severity of these injuries is variable, severe cases can lead to lifelong disability or even death. While aging is the greatest risk factor for Alzheimer's disease (AD), it is now becoming clear that a history of TBI predisposes the individual to AD later in life (Sivanandam and Thakur, 2012). In this review article, we begin by defining hallmark pathological features of AD and the various forms of TBI. Putative mechanisms underlying the risk relationship between these two neurological disorders are then critically considered. Such mechanisms include precipitation and ‘spreading’ of cerebral amyloid pathology and the role of neuroinflammation. The combined problems of TBI and AD represent significant burdens to public health. A thorough, mechanistic understanding of the precise relationship between TBI and AD is of utmost importance in order to illuminate new therapeutic targets. Mechanistic investigations and the development of preclinical therapeutics are reliant upon a clearer understanding of these human diseases and accurate modeling of pathological hallmarks in animal systems.
Output-Sensitive 3D Line Integral Convolution

We propose a largely output-sensitive visualization method for 3D line integral convolution (LIC) whose rendering speed is mainly independent of the data set size and mostly governed by the complexity of the output on the image plane. Our approach of view-dependent visualization tightly links the LIC generation with the volume rendering of the LIC result in order to avoid the computation of unnecessary LIC points: early-ray termination and empty-space leaping techniques are used to skip the computation of the LIC integral in a lazy-evaluation approach; both ray casting and texture slicing can be used as volume-rendering techniques. The input noise is modeled in object space to allow for temporal coherence under object and camera motion. Different noise models are discussed, covering dense representations based on filtered white noise all the way to sparse representations similar to oriented LIC. Aliasing artifacts are avoided by frequency control over the 3D noise and by employing a 3D variant of MlPmapping. A range of illumination models is applied to the LIC streamlines: different codimension-2 lighting models and a novel gradient-based illumination model that relies on precomputed gradients and does not require any direct calculation of gradients after the LIC integral is evaluated. We discuss the issue of proper sampling of the LIC and volume-rendering integrals by employing a frequency-space analysis of the noise model and the precomputed gradients. Finally, we demonstrate that our visualization approach lends itself to a fast graphics processing unit (GPU) implementation that supports both steady and unsteady flow. Therefore, this 3D LIC method allows users to interactively explore 3D flow by means of high-quality, view-dependent, and adaptive LIC volume visualization. Applications to flow visualization in combination with feature extraction and focus-and-context visualization are described, a comparison to previous methods is provided, and a detailed performance analysis is included.
Robust speech recognition based on HMM composition and modified wiener filter

This paper combines the HMM composition method with a highly efficient noise reduction method to create a robust speech recognition technique for additive noise environments. Speech recorded by hands-free microphones in the real world suffer from 1) low Speech/Noise [S/N] and 2) changes in S/N. In particular, S/N varies with the speaker and from utterance to utterance even in a same noise environment. To deal with the low S/N, the proposed technique uses the modified Wiener filter (WF) method for noise reduction and so keeps S/N higher than is possible with spectral subtraction (SS), as well as minimizing speech distortion. To compensate the remaining additive noise, the proposed technique uses the HMM composition method with clean speech models and a noise model trained by the remaining noise. To offset the rapid changes in S/N where S/N may not be known, HMMs composed under various S/N conditions are run in parallel to obtain better recognition results; rapid response is achieved since adaptation to handle speech distortion is not necessary. The new technique shows a reduction in average recognition error of 21.6% under various noise conditions compared to using the basic HMM composition method.
A Knowledge-Based System for Automatic Program Construction

KEYWORDS; Automatic programming, Program refinement, Programming knowledge, Rules about programming, Know ledge -based systems. o the r module of the synthesis phase, an Eff iciency Expert known as LIBRA, is used to select from among these a l t e rna t i ves . The deve lopment of PECOS has required research along four d i rec t i ons : (1 ) the codif icat ion of a body of knowledge about programming; (2) the development of a model of program const ruc t ion appropriate for that knowledge; (3) t h e des ign of a representat ion scheme; and (4) the design and implementat ion of a system that can apply the know ledge to produce implementations of abstract a lgor i thms. No one aspect can be total ly isolated from any of the o the rs , but this paper will focus on the last. O v e r v i e w s of the knowledge base and the model of program cons t ruc t i on will be given, fol lowed by a brief description of t he represen ta t ion scheme. Finally, PECOS's control s t r u c t u r e wil l be discussed and an example of PECOS in opera t i on wil l be given.
No-reference lightweight estimation of 3D video objective quality

A no-reference (NR) method based on an artificial neural network (ANN) approach is proposed in this paper to estimate the objective quality of video-plus-depth streams subject to packet loss in depth data. A novel aspect of this method is the use of information only taken from packet headers, up to the network abstraction layer (NAL), requiring a very low complexity parsing of the compressed video streams. A maximum of seven packet-layer parameters were found to be enough to provide accurate objective quality estimates given by the structural similarity index (SSIM). The accuracy of the quality estimates, evaluated by comparison with the actual SSIM quality scores, is shown to be sufficiently high (e.g., Pearson Linear Correlation Coefficient over 0.92) for lightweight implementations of 3D video quality monitors at end-user receivers and also at network nodes.
A Study of Fault Management Algorithm and Recover the Faulty Node Using the FNR Algorithms for Wireless Sensor Network

In Wireless Sensor Network every Sensor node having a tendency to shut down ,due to computation power, Hardware Fail, Software Fail, environmental Condition and energy depletion. Fault Tolerance is a major problem in a wireless sensor Network. A Fault Management is key of Network Management. Fault management Algorithms is divided into fault detection, fault diagnosis and fault recovery.The fault detection schemes classified in a two types: Centralized Approach and Distributed Approach.Fault diagnosis is the whole process of fault management. In a Fault Diagnosis cover only three question like where the fault is located,what type of fault it is like node failure,how a fault does occurs. Fault recovery is the last phase of the fault management process. The various algorithms are available for the recover the Faulty Node like FNR Algorithm. The increase the Lifetime of WSN Using Fault Node Recovery Algorithm when Sensor Node is dead. Fault Node Recovery Algorithm it depend on Generic Algorithm and Grade Diffusion Algorithm. The algorithm can result in fewer replacements of sensor nodes and more reused routing paths. This Algorithm also increases the number of active nodes, reduces the rate of data loss and reduced energy consumption.
Ultrasound harmonic imaging with reducing speckle noise by an interlaced iterative frequency compounding approach

Speckle noise is a phenomenon inherent in any coherent imaging system and decreases the signal-to-noise ratio (SNR), which brings down the imaging quality. Speckle noise reduction is particularly important in the tissue harmonic imaging (THI) since it has the lower energy and the poorer SNR than the fundamental imaging (FI). Speckle can be reduced by frequency compounding (FC), which means incoherently averaging the images with different speckle patterns acquired by changing the center frequency of the pulse. As for the THI, the difference in the emission spectrum doubles when using the FC. In this paper, we propose an interlaced iterative frequency compounding (IIFC) method with the pulse inversion (PI) technique. The new method brings a good speckle suppression performance while the high frame rate is retained. To illustrate the performance of our method, experiments have been conducted on the simulated data. A nonlinear simulation platform based on the full-wave model is used in the harmonic imaging simulation. Results show that our method brings the SNR an improvement of up to 22% in comparison with the single frame THI while maintaining a far better performance in both terms of resolution and contrast than the FI. We also demonstrate that our method for THI retains the high frame rate although using PI.
Synthesis of CNO elements in standard BBN

We perform an analysis of the CNO elements production in a standard big bang nucleosynthesis (BBN) scenario. The goal is to provide a sound estimate on the very low but yet poorly explored abundance of such elements (with critical importance in Population III Stars). We examine the synthesis channels for these elements in the Wagoner-Kawano code (already critically revised and updated in recent analysis); in light of the findings on CNO elements productions in BBN we add 4 nuclides and more than 200 reactions to the existing network; our results show no major discrepancies with the ones from smaller nuclear network. The robustness of the standard BBN predictions—Population III Stars were metal-free—is confirmed.
Statistical Robustness of Voting Rules

We introduce a notion of “statistical robustness” for voting rules. We say that a voting rule is statistically robust if the winner for a profile of ballots is most likely to be the winner of any random sample of the profile, for any positive sample size. We show that some voting rules, such as plurality, veto, and random ballot, are statistically robust, while others, such as approval, score voting, Borda, single transferable vote (STV), Copeland, and Maximin are not statistically robust. Furthermore, we show that any positional scoring rule whose scoring vector contains at least three different values (i.e., any positional scoring rule other than t-approval for some t) is not statistically robust.
WHAT HAPPENS WHEN GIRLS, GIFTED IN SCIENCE, GROW UP

A major problem with the research concerning female achievement in post-secondary education and career attainment, is the undue emphasis on deficit or comparison models, serving to instill the notion of female deficit or underachievement in comparison to male peers. This work, though informative, needs to be balanced with information about how females who are gifted and/or successful in a given field or discipline have been able to accomplish this. The purpose of the present research was to investigate the sources that contribute to the dynamic interaction of achievement-related decisions, career and adult life-role choices of females and males talented in the sciences using the Eccles model. Specifically, the overall study entails an examination of the key personal and educational factors that contribute to high achievement in the sciences, the factors favorable to the pursuit of programs and careers in science and related disciplines, the impact of the Shad Valley program on the advancement of interest and expertise for females and males gifted in the sciences, and, in particular, factors influencing female life-role choices in adulthood. The total sample consisted of 117 males and females from an initial subject pool of Shad Valley Program applicants. Two groups of subjects (males [n=51] and females [n=65]) were drawn for the years 1981 to 1985 (Time band 1); 1986 to 1990 (Time band 2); and 1991 to 1995 (Time band 3), with equal representation from across Canada. In stage 1, three questionnaires (University of Michigan, Study of Adolescent Life Transitions [adapted]; Values Inventory; and The Salience Inventory) were mailed out and completed by all subjects. In stage 2, telephone interviews were later carried out with approximately one half of these subjects. The present paper reports on several aspects of the latter telephone interview component. Specifically, stage 2a consists of general telephone interview data for the total sample of interviewed males and females (n=64), and for stage 2b, a more detailed overview of the responses of younger (n=5) and older (n=5) female interview responses on selected questions will be provided. The results and discussion sections for stage 2a and 2b are organized by the five broad categories of achievements, individual perceptions of how their math/science abilities impact several areas of their lives, social influences, life satisfaction, and exciting/regretful experiences. The analysis for stage 2a is focused on gender differences, and stage 2b is focused on differences in the responses of younger versus older female subjects. The paper concludes with a discussion of the major findings from this aspect of the overall research project
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes

Video footage of real crowded scenes still poses severe challenges for automated surveillance. This paper evaluates clustering methods for finding independent dominant motion fields for an observation period based on a recently published real-time optical flow algorithm. We focus on self-tuning spectral clustering and Isomap combined with k-means. Several combinations of feature vector normalizations and distance measures (Euclidean, Mahanalobis and a general additive distance) are evaluated for four image sequences including three publicly available crowd datasets. Evaluation is based on mean accuracy obtained by comparison with a manually defined ground truth clustering. For every dataset at least one approach correctly classified more than 95% of the flow vectors without extra tuning of parameters, providing a basis for an automatic analysis after a view-dependent setup.
International Conference on Intelligent and Advanced Systems 2007 Improving the Performance of Fixed Broadband Beamformer Using Auxiliary Elements

A novel technique for improving directivity pattern and for reducing the sidelobes of a uniform delay-and-sum (DS) broadband beamformer array is considered. This technique involves the addition of two auxiliary elements, which together produce a broadband cosine pattern used for pattern reconfiguration. The amplitude of the excitation and the distance between two elements of the auxiliary array controls the performance of the resulting broadband pattern. Thus, this technique can be easily implemented in real world. Simulation results, show that the proposed technique produces results that are significantly favorable than conventional broadband DS beamformer array. Moreover, the directivity pattern of the proposed technique has been improved over the entire frequency range of interest.
Dimensiones de apoyo social asociadas al síndrome de burnout en docentes de media académica

espanolObjetivo. Determinar la asociacion entre las dimensiones de apoyo social con las manifestaciones del sindrome de burnout, en docentes de media academica del Caribe colombiano. Metodo. En esta investigacion de diseno ex post facto participaron 235 docentes de varias instituciones educativas, quienes fueron evaluados mediante el Maslach Burnout Inventory-Educator Survery y el cuestionario MOS de apoyo social. Resultados. Se encontro que el 23% de los docentes aquejo agotamiento emocional y el 22.5% despersonalizacion. Los niveles de apoyo social se mostraron con intensidad alta o media. Ademas, se observaron asociaciones significativas entre las dimensiones de apoyo y la despersonalizacion, mientras que la realizacion personal se asocio con formas emocionales, sociales e instrumentales de soporte. Conclusion. Se discute la implicacion del apoyo social como un elemento relevante a considerar en la intervencion preventiva del burnout en el profesorado. EnglishObjective. To determine the relationship between social support dimensions and burnout syndrome cases in high school teachers of the Colombian Caribbean. Method. 235 teachers of different schools participated in this ex post facto research design and they were evaluated through the Maslach Burnout Inventory-Educator Survey and MOS questionnaire. Results. It was found that 23% of the teachers were affected by emotional exhaustion and 25.5% by depersonalization. Social support levels showed medium and high intensity. Furthermore, meaningful associations were observed between the different dimensions of support and depersonalization, while the personal fulfillment was associated with emotional, social and instrumental forms of Support Conclusion. The implication of social support as a relevant fact to be considered in preventive intervention of burnout in teachers is discussed. portuguesEscopo. Determinar a associacao entre as dimensoes de apoio social com as manifestacoes do sindrome de burnout em professores de media academica do Caribe colombiano. Metodologia. Nesta pesquisa de desenho ex post facto participaram 235 professores de diferentes instituicoes educativas, os quais foram avaliados mediante o Maslach Burnout Inventory-Educator Survey e o Questionario MOS de apoio social. Resultados. Foi encontrado que o 23% dos professores apresentou esgotamento emocional e 22.5% despersonalizacao. Os niveis de apoio social foram mostrados com intensidade alta ou media. Alem, foram observadas associacoes significativas entre as diferentes dimensoes de apoio e a despersonalizacao, enquanto que a realizacao pessoal foi associada com formas emocionais, sociais e instrumentais de suporte. Conclusao. Foi discutida a implicacao de apoio social como um elemento relevante a considerar na intervencao preventiva do burnout no professorado.