Miracle-dz/UniFAR-FTUs huggingface dataset:
Symplectic SUSY gauge theories with antisymmetric matter.

We investigate the confining phase vacua of supersymmetric $Sp(2\NC)$ gauge theories that contain matter in both fundamental and antisymmetric representations. The moduli spaces of such models with $\NF=3$ quark flavors and $\NA=1$ antisymmetric field are analogous to that of SUSY QCD with $\NF=\NC+1$ flavors. In particular, the forms of their quantum superpotentials are fixed by classical constraints. When mass terms are coupled to $W_{(\NF=3,\NA=1)}$ and heavy fields are integrated out, complete towers of dynamically generated superpotentials for low energy theories with fewer numbers of matter fields can be derived. Following this approach, we deduce exact superpotentials in $Sp(4)$ and $Sp(6)$ theories which cannot be determined by symmetry considerations or integrating in techniques. Building upon these simple symplectic group results, we also examine the ground state structures of several $Sp(4) \times Sp(4)$ and $Sp(6) \times Sp(2)$ models. We emphasize that the top-down approach may be used to methodically find dynamical superpotentials in many other confining supersymmetric gauge theories.
Do Herding Behavior and Positive Feedback Effects Influence Capital Inflows? Evidence from Asia and Latin America

A considerable amount of research has focused on herding behavior vis-A -vis international capital, either by focusing on theory or by applying simple statistical analyses, but most studies have ignored factors that trigger international capital inflows. In essence, any connection between theory and empirical evidence has not been validated. In this paper, we test two primary drivers of capital inflows to emerging markets, namely herding behavior and positive feedback effects. Data from Asia and Latin America are used for our empirical study. There is significant evidence of positive feedback and herding behavior in both stable and highly volatile countries.
Polaronic aspects of the two-dimensional ferromagnetic Kondo model

The two-dimensional ferromagnetic Kondo model with classical core spins is studied via unbiased Monte Carlo simulations for a hole doping up to x = 12.5%. A canonical algorithm for finite temperatures is developed. We show that, with realistic parameters for the manganites and at low temperatures, the double-exchange mechanism does not lead to phase separation on a two-dimensional lattice but rather stabilizes individual ferromagnetic polarons for this doping range. A detailed analysis of unbiased Monte Carlo results reveals that the polarons can be treated as independent particles for these hole concentrations. It is found that a simple polaron model describes the physics of the ferromagnetic Kondo model amazingly well. The ferromagnetic polaron picture provides an obvious explanation for the pseudogap in the one-particle spectral function Ak(ω) observed in the ferromagnetic Kondo model.
LitRec vs. Movielens - A Comparative Study

Recommendation is an important research area that relies on the availability and quality of the data sets in order to make progress. This paper presents a comparative study between Movielens, a movie recommendation data set that has been extensively used by the recommendation system research community, and LitRec, a newly created data set for content literary book recommendation, in a collaborative filtering set-up. Experiments have shown that when the number of ratings of Movielens is reduced to the level of LitRec, collaborative filtering results degrade and the use of content in hybrid approaches becomes important.
Biological Nature of Knowledge in the Learning Organization

This paper combines ideas from disciplines ranging from physics, epistemology and philosophy of science to military affairs, to sketch a scientific framework for studying organizational learning, knowledge and memory. Threads are woven from this background into a generic analytical framework that reveals the biological nature of knowledge in learning organizations. There are many epistemological and conceptual difficulties surrounding the concept of autopoiesis, so most of the present work focuses on explaining it in generic terms, establishing an epistemological framework in which the autopoietic status of any kind of complex system can be evaluated, and then deriving generic concepts of memory, learning and knowledge within the autopoietic framework. The autopoietic status of human organizations is then tested in relation to this framework, and some of the direct implications regarding organizational learning and adaptation are highlighted.
Real Time Hand Tracking System

This paper investigates a real time gesture recognition system. Hand tracking is first step for gesture recognition and hand tacking system is based on video acquisition, skin colour segmentation, foreground detection and background elimination. The proposed Gesture Recognition Hand Tracking (GR-HT) system take less training time compared to existing system. Moreover, other feature of GR-HT system is less memory requirement. Disadvantage of GR-HT system is it is affected by environmental condition, to reduce the effects, we use Gaussian Mixture Model (GMM) for background elimination and foreground detection. The experimental result shows that the proposed GR-HT system achieves the results up to 98% in recognition and our work is a novel method for real time gesture recognition applications.
LICO: A Lexicon of Italian Connectives

English. This paper presents the first release of LICO, a Lexicon for Italian COnnectives. LICO includes about 170 discourse connectives used in Italian, together with their orthographical variants, part of speech(es), semantic relation(s) (according to the Penn Discourse Treebank relation catalogue), and a number of usage examples. Italiano. Questo contributo presenta la prima versione di LICO, un lessico di connettivi per l’italiano. LICO comprende circa 170 connettivi del discorso usati in italiano, di cui abbiamo raccolto varianti ortografiche, le parti del discorso, le relazioni semantiche (ricavate dal catalogo del Penn Discourse Treebank) espresse dal connettivo, e alcuni esempi d’uso.
Security and emotion: sentiment analysis of security discussions on GitHub

Application security is becoming increasingly prevalent during software and especially web application development. Consequently, countermeasures are continuously being discussed and built into applications, with the goal of reducing the risk that unauthorized code will be able to access, steal, modify, or delete sensitive data. In this paper we gauged the presence and atmosphere surrounding security-related discussions on GitHub, as mined from discussions around commits and pull requests. First, we found that security related discussions account for approximately 10% of all discussions on GitHub. Second, we found that more negative emotions are expressed in security-related discussions than in other discussions. These findings confirm the importance of properly training developers to address security concerns in their applications as well as the need to test applications thoroughly for security vulnerabilities in order to reduce frustration and improve overall project atmosphere.
Role of Antibodies in Immunity to Bordetella Infections

ABSTRACT The persistence of Bordetellapertussis and B. parapertussis within vaccinated populations and the reemergence of associated disease highlight the need to better understand protective immunity. The present study examined host immunity to bordetellae and addressed potential concerns about the mouse model by using a comparative approach including the closely related mouse pathogen B. bronchiseptica. As previously observed with B. pertussis, all three organisms persisted throughout the respiratory tracts of B-cell-deficient mice, indicating that B cells are required for bacterial clearance. However, adoptively transferred antibodies rapidly cleared B. bronchiseptica but not human pathogens. These results obtained with the mouse model are consistent with human clinical observations, including the lack of correlation between antibody titers and protection, as well as the limited efficacy of intravenous immunoglobulin treatments against human disease. Together, this evidence suggests that the mouse model accurately reflects substantial differences between immunities to these organisms. Although both B. pertussis and B. parapertussis are more closely related to B. bronchiseptica than they are to each other, they share the ability to resist rapid clearance from the lower respiratory tract by adoptively transferred antibodies, an adaptation that correlates with their emergence as human pathogens that circulate within vaccinated populations.
Scientific application-based performance comparison of SGI Altix 4700, IBM POWER5+, and SGI ICE 8200 supercomputers

The suitability of next-generation high-performance computing systems for petascale simulations will depend on various performance factors attributable to processor, memory, local and global network, and input/output characteristics. In this paper, we evaluate performance of new dual-core SGI Altix 4700, quad-core SGI Altix ICE 8200, and dual-core IBM POWER5+ systems. To measure performance, we used micro-benchmarks from High Performance Computing Challenge (HPCC), NAS Parallel Benchmarks (NPB), and four real-world applications- three from computational fluid dynamics (CFD) and one from climate modeling. We used the micro-benchmarks to develop a controlled understanding of individual system components, then analyzed and interpreted performance of the NPBs and applications. We also explored the hybrid programming model (MPI+OpenMP) using multi-zone NPBs and the CFD application OVERFLOW-2. Achievable application performance is compared across the systems. For the ICE platform, we also investigated the effect of memory bandwidth on performance by testing 1, 2, 4, and 8 cores per node.
Some Models and Tools for Open Systems

In computer science, there is a distinction between closed systems whose behavior is totally determined in advance and open systems that are systems that maintain a constant interaction with an unspecied environment. Closed systems are naturally modeled by transitions systems. Open systems have been modeled in various ways, including process algebras, I/O automata, \modules", and interfaces. Games provide a uniform setting in which all these models can be cast and compared. In this extended abstract, we discuss the features and costs related to the gamebased approach to open systems, referring to some of the existing models. Finally, we describe a new model of interface, called sociable interface, which is geared towards easier specication, improved reusability of models, and ecien t symbolic implementation.
Revisiting Popularity Characterization and Modeling of User-Generated Videos

This paper presents new results on characterization and modeling of user-generated video popularity evolution, based on a recent complementary data collection for videos that were previously the subject of an eight month data collection campaign during 2008/09. In particular, during 2011, we collected two contiguous months of weekly view counts for videos in two separate 2008/09 datasets, namely the ``recently-uploaded'' and the ``keyword-search'' datasets. These datasets contain statistics for videos that were uploaded within 7 days of the start of data collection in 2008 and videos that were discovered using a keyword search algorithm in 2008, respectively. Our analysis shows that the average weekly view count for the recently-uploaded videos had not decreased by the time of the second measurement period, in comparison to the middle and later portions of the first measurement period. The new data is used to evaluate the accuracy of a previously proposed model for synthetic view count generation for time periods that are substantially longer than previously considered. We find that the model yielded distributions of total (lifetime) video view counts that match the empirical distributions, however, significant differences between the model and empirical data were observed with respect to other metrics. These differences appear to arise because of particular popularity characteristics that change over time rather than being week-invariant as assumed in the model.
Physical Properties and Baryonic Content of Low-Redshift Intergalactic Lyα and O VI Absorption Line Systems: The PG 1116+215 Sight Line

We present Hubble Space Telescope and Far Ultraviolet Spectroscopic Explorer observations of the intergalactic absorption toward QSO PG 1116+215 in the 900-3000 Å spectral region. We detect 25 Lyα absorbers along the sight line at rest-frame equivalent widths Wr > 30 mÅ, yielding (dN/dz)Lyα = 166 ± 20 over an unblocked redshift path ΔzLyα = 0.150. Two additional weak Lyα absorbers with Wr ≈ 15-20 mÅ are also present. Eight of the Lyα absorbers have large line widths (b ≳ 40 km s-1). The detection of narrow O VI absorption in the broad Lyα absorber at z = 0.06244 supports the idea that the Lyα profile is thermally broadened in gas with T > 105 K. We find dN/dz ≈ 53 for broad Lyα absorbers with Wr ≳ 30 mÅ and b ≥ 40 km s-1. This number drops to dN/dz ≈ 40 if the line widths are restricted to 40 ≤ b ≤ 100 km s-1. If the broad Lyα lines are dominated by thermal broadening in hot gas, the amount of baryonic material in these absorbers is enormous, perhaps as much as half the baryonic mass in the low-redshift universe. We detect O VI absorption in several of the Lyα clouds along the sight line. Two detections at z = 0.13847 and z = 0.16548 are confirmed by the presence of other ions at these redshifts (e.g., C II-III, N II-III, N V, O I, O VI, and Si II-IV), while the detections at z = 0.04125, 0.05895, 0.05928, and 0.06244 are based upon the Lyα and O VI detections alone. We find (dN/dz) ≈ 18 for O VI absorbers with Wr > 50 mÅ toward PG 1116+215. The information available for 13 low-redshift O VI absorbers with Wr ≥ 50 mÅ along six sight lines yields (dN/dz) ≈ 13 and Ωb(O ) ≳ 0.0022 h, assuming a metallicity of 0.1 solar and an O VI ionization fraction f ≤ 0.2. The properties and prevalence of low-redshift O VI absorbers suggest that they too may be a substantial baryon repository, perhaps containing as much mass as stars and gas inside galaxies. The redshifts of the O VI absorbers are highly correlated with the redshifts of galaxies along the PG 1116+215 sight line, though few of the absorbers lie closer than ~600 h to any single galaxy. We analyze the kinematics and ionization of the metal-line systems along this sight line and discuss the implications of these observations for understanding the physical conditions and baryonic content of intergalactic matter in the low-redshift universe.
A global approach to path planning for redundant manipulators

An approach to the path planning of redundant manipulators is presented. The path planning problem is posed as a finite-time nonlinear control problem which can be solved by a Newton-Raphson type algorithm. This technique is capable of handling various goal task definitions, as well as incorporating both joint and task space constraints. The algorithm shows promising results in planning joint path sequences and Cartesian tip tracking and goal endpoint specifications. In contrast to local approaches, this algorithm is less prone to problems such as singularities and local minima. Applications to planar 3-R and 4-R arms, cooperating 3-R arms and a spatial nine-degrees-of-freedom arm are included. <<ETX>>
Power amplifiers and transmitters for RF and microwave

The generation of RF/microwave power is required not only in wireless communications, but also in applications such as jamming, imaging, RF heating, and miniature dc/dc converters. Each application has its own unique requirements for frequency, bandwidth, load, power, efficiency, linearity, and cost. RF power is generated by a wide variety of techniques, implementations, and active devices. Power amplifiers are incorporated into transmitters in a similarly wide variety of architectures, including linear, Kalm, envelope tracking, outphasing, and Doherty. Linearity can be improved through techniques such as feedback, feedforward, and predistortion.
IL-1R Type I-Dependent Hemopoietic Stem Cell Proliferation Is Necessary for Inflammatory Granulopoiesis and Reactive Neutrophilia1

Infections and inflammation trigger neutrophilias that are supported by a hematopoietic program of accelerated granulopoiesis known as emergency granulopoiesis. The intrinsic factors that drive reactive neutrophilias and emergency granulopoiesis have been inferred but not demonstrated. Here, we show that alum cannot elicit reactive neutrophilias in IL-1R type I (IL-1RI)−/− mice, whereas other inflammatory responses, including eosinophilia and Ab production, remain intact. Analysis of this specific impairment revealed an unanticipated role for IL-1RI in supporting increased proliferation by granulocyte/macrophage progenitors and, surprisingly, multipotent progenitors and hematopoietic stem cells (HSC). Indeed, HSC and multipotent progenitor proliferative responses were most suppressed in IL-1RI−/− mice, suggesting a critical role for their proliferation in inflammatory granulopoiesis. Whereas IL-1 drives increased HSC proliferation directly in vitro, IL-1RI expression by radiation-resistant host cells was both necessary and sufficient for alum-induced HSC, multipotent progenitor, and granulocyte/macrophage progenitor proliferation and reactive neutrophilias in radiation chimeric mice. Thus, IL-1 plays a necessary, but indirect, role in the support of alum-induced neutrophilias by expanding both pluripotent and myeloid progenitor compartments to accelerate granulopoiesis.
An Econometric Model of Alumni Giving: A Case Study for a Liberal Arts College

This econometric model of giving behavior will use the results from annual surveys on individual alumni in a case study based on the donations at a liberal arts college. By using pooled cross-section and time series data, we relate the size of contributions to individual characteristics of the alumnus and to campus and national events over time. Within the cross sectional data, we will look at the effects of household income, fraternity and sorority affili ation, family status, distance from the college, etc. Nationally, the factors that will be studied are the unemployment rate and the stock market crash, and changes in the tax laws. With a donation model, an educational institution can identify those factors which are important (and those which are not important), and measure the magnitude of the impacts. This will help liberal arts colleges determine which areas need to be stressed in fundraising efforts.
Informality: Causes, Consequences and Policy Responses

A stylized prediction of the development economics discourse is that informality will disappear with development. And yet in the last twenty years conventional measures of informality, far from declining, have either remained stagnant or have actually increased. What exactly is informality and what are its magnitudes and trends? What are the causes of informality and why is it not decreasing as predicted by standard theories of development? What are the consequences for inclusive economic growth of a large and increasing informal sector? What are feasible and desirable policy responses to informality? These are the questions which motivate this broad based survey and overview of informality, with particular focus on India.
That's my jam! Uma Análise Temporal sobre a Evolução das Preferências dos Usuários em uma Rede Social de Músicas

As preferências dos usuários são muito dinâmicas, uma vez que eles tendem a explorar uma vasta gama de informações e modificar seus gostos ao longo do tempo. Modelos existentes que capturam a evolução de preferências no domínio de músicas são muito restritos e não levam em conta a influência social. Este trabalho propõe uma análise sobre a evolução das preferências musicais dos usuários de uma rede social de músicas, utilizando redes temporais de similaridade. Como resultado, foi detectado que poucos usuários variam significativamente suas preferências. A tendência é que artistas e usuários semelhantes mantenham suas similaridades ao longo do tempo.
Examination of a memory access classification scheme for pointer-intensive and numeric programs

In recent work, we have described a data prefetch mechanism for pointer-intensive and numeric computations, and presented detailed measurements on a suite of benchmarks to quanti~ its performance potential] [HM94, Meh96]. In this paper we review a simple classification for memory access patterns on which the prefetch mechanism is based, and then take a close look at two codes from our suite. Focusing on just two programs allows us to display a wide range of slmulauon data. Results from this study several additional optimizations for future data prefetch mechanisms,
Microscopic Modelling Circadian and Bursty Pattern of Human Activities

Recent studies for a wide range of human activities such as email communication, Web browsing, and library visiting, have revealed the bursty nature of human activities. The distribution of inter-event times (IETs) between two consecutive human activities exhibits a heavy-tailed decay behavior and the oscillating pattern with a one-day period, reflective of the circadian pattern of human life. Even though a priority-based queueing model was successful as a basic model for understanding the heavy-tailed behavior, it ignored important ingredients, such as the diversity of individual activities and the circadian pattern of human life. Here, we collect a large scale of dataset which contains individuals’ time stamps when articles are posted on blog posts, and based on which we construct a theoretical model which can take into account of both ignored ingredients. Once we identify active and inactive time intervals of individuals and remove the inactive time interval, thereby constructing an ad hoc continuous time domain. Therein, the priority-based queueing model is applied by adjusting the arrival and the execution rates of tasks by comparing them with the activity data of individuals. Then, the obtained results are transferred back to the real-time domain, which produces the oscillating and heavy-tailed IET distribution. This microscopic model enables us to develop theoretical understanding towards more empirical results.
Guiding Hidden Layer Representations for Improved Rule Extraction From Neural Networks

The production of relatively large and opaque weight matrices by error backpropagation learning has inspired substantial research on how to extract symbolic human-readable rules from trained networks. While considerable progress has been made, the results at present are still relatively limited, in part due to the large numbers of symbolic rules that can be generated. Most past work to address this issue has focused on progressively more powerful methods for rule extraction (RE) that try to minimize the number of weights and/or improve rule expressiveness. In contrast, here we take a different approach in which we modify the error backpropagation training process so that it learns a different hidden layer representation of input patterns than would normally occur. Using five publicly available datasets, we show via computational experiments that the modified learning method helps to extract fewer rules without increasing individual rule complexity and without decreasing classification accuracy. We conclude that modifying error backpropagation so that it more effectively separates learned pattern encodings in the hidden layer is an effective way to improve contemporary RE methods.