Miracle-dz/UniFAR-FTUs huggingface dataset:
Model the complex dependence structures of financial variables by using canonical vine

Financial variables such as asset returns in the massive market contain various hierarchical and horizontal relationships forming complicated dependence structures. Modeling and mining of these structures is challenging due to their own high structural complexities as well as the stylized facts of the market data. This paper introduces a new canonical vine dependence model to identify the asymmetric and non-linear dependence structures of asset returns without any prior independence assumptions. To simplify the model while maintaining its merit, a partial correlation based method is proposed to optimize the canonical vine. Compared with the original canonical vine, the new model can still maintain the most important dependence but many unimportant nodes are removed to simplify the canonical vine structure. Our model is applied to construct and analyze dependence structures of European stocks as case studies. Its performance is evaluated by measuring portfolio of Value at Risk, a widely used risk management measure. In comparison to a very recent canonical vine model and the 'full' model, our experimental results demonstrate that our model has a much better quality of Value at Risk, providing insightful knowledge for investors to control and reduce the aggregation risk of the portfolio.
Speech Recognition Using Probabilistic and Statistical Models

This paper presents an implementation of probabilistic and statistical models for speech recognition. Three models namely Gaussian mixture model, hidden markov model and Gaussian mixture model -- universal background model are discussed. In GMM, both speech identification of unknown isolated words and classification of unknown test patterns are discussed. In HMM, speech identification of isolated words are discussed. In GMM-UBM, speech identification of isolated words and speech classification of unknown test patterns are discussed. Isolated word recognizer build using all the three models for the recognition of isolated words can give 100% accuracy depending upon the initialization of the models. GMM-UBM is not found suitable for the classification of unknown test patterns.
Working to Improve the Consumer Price Index

In this paper, we first comment on the recent (1996) report of the Advisory Commission to Study the Consumer Price Index, appointed by the U.S. Senate Finance Committee, and the recommendations it contains. We then describe some of the initiatives currently underway at the Bureau of Labor Statistics -- some of which were undertaken before the appearance of the Advisory Commission's report, others of which are part of a Consumer Price Index improvement initiative that was included as part of the President's 1998 budget proposal -- which attempted to address the bias issues that were highlighted by the Advisory Commission.
The Neural Representation of Speed in Macaque Area MT/V5

Tuning for speed is one key feature of motion-selective neurons in the middle temporal visual area of the macaque cortex (MT, or V5). The present paper asks whether speed is coded in a way that is invariant to the shape of the moving stimulus, and if so, how. When tested with single sine-wave gratings of different spatial and temporal frequencies, MT neurons show a continuum in the degree to which preferred speed depends on spatial frequency. There is some dependence in 75% of MT neurons, and the other 25% maintain speed tuning despite changes in spatial frequency. When tested with stimuli constructed by adding two superimposed sine-wave gratings, the preferred speed of MT neurons becomes less dependent on spatial frequency. Analysis of these responses reveals a speed-tuning nonlinearity that selectively enhances the responses of the neuron when multiple spatial frequencies are present and moving at the same speed. Consistent with the presence of the nonlinearity, MT neurons show speed tuning that is close to form-invariant when the moving stimuli comprise square-wave gratings, which contain multiple spatial frequencies moving at the same speed. We conclude that the neural circuitry in and before MT makes no explicit attempt to render MT neurons speed-tuned for sine-wave gratings, which do not occur in natural scenes. Instead, MT neurons derive form-invariant speed tuning in a way that takes advantage of the multiple spatial frequencies that comprise moving objects in natural scenes.
Separation and recognition of overlapped latent images

Fingerprints are still the most important method for the recognition of criminal. Automatic Fingerprint Identification System (AFIS) has improved tremendously with storage, search and matching of fingerprints without human need. A fingerprint is an individual feature of all humans. No two fingers have identical ridge characteristics. In crime scenes, the latent images can be merged with some background images or more number of fingerprint images can be overlapped. Fingerprints obtained from crime places may be in low quality also. These kind of low quality, damaged and overlapped fingerprints create a tedious problem to identify and recognize the person. A critical step in AFIS is to automatically and reliably extract features from the fingerprint images. In this paper, we investigate the problem of retrieving the information of criminals using their images without human intervention. Our proposed work also describes the computational geometry to separate the overlapped images. The proposed work is planned to improve the performance of the system in terms of accuracy and speed with the increased number of samples for testing and training. This proposed research work tries to improve true acceptance rate, genuine acceptance rate and reduce false accept rate and false reject rate for latent images.
Far-Ultraviolet Spectral Images of the Vela Supernova Remnant

We present far-ultraviolet (FUV) spectral imaging observations of the Vela supernova remnant (SNR) obtained with the SPEAR/FIMS instrument. The Vela SNR extends ~8° in the FUV, and its global spectra are dominated by shock-induced emission lines. We find that the global FUV line luminosities can exceed the 0.1-2.5 keV soft X-ray luminosity by an order of magnitude. The global O VI : C III ratio shows that the Vela SNR has a relatively large fraction of slower shocks compared with the Cygnus Loop.
Efficient disparity map generation for moving multi-camera system using TOF depth sensor

In this paper, we propose an efficient disparity map generation method for multi-view video sequences captured by a forward moving multi-camera system. Forward camera moving increases the minimum and maximum disparity value of each frame with time. Thus, computational complexity can be increased and the quality of generated disparity can be degraded since the stereo matching operation has to deal with a wide range of the disparity candidates. In order to solve this problem, we employ a time-of-flight (TOF) depth sensor as a guide to find the minimum and maximum disparity values for each frame. Then, the stereo matching process for video sequences captured by the moving multi-camera system becomes simple without quality degradation.
Documenting Events in Metadata

In this paper we outline the importance of event-centric documentation for structuring cultural metadata and historical context. Historical analysis can be seen as an analysis of events involving participation of people and things, meeting each other and thus creating history. Event modeling is so abstract that it can be used to describe cultural items and documentations of scientific observations. This work aims to show how event modeling provides more accurate information about life histories, relates and aggregates relevant information, and so helps to a more effective search and retrieval than currently achieved with Dublin Core and VRA.
HiFlow3: a flexible and hardware-aware parallel finite element package

This paper describes the concept of the parallel finite element software package HiFlow3 [2]. HiFlow3 is driven by application requirements and aims at the solution of large-scale problems obtained by means of the finite element method for partial differential equations. By utilizing object-oriented concepts and the full capabilities of C++ the HiFlow3 project follows a modular and generic approach for building efficient parallel numerical solvers. It provides highly capable modules dealing with the mesh setup, finite element spaces, degrees of freedom, linear algebra routines, numerical solvers, and output data for visualization. Parallelism -- as the basis for high performance simulations on modern computing systems -- is introduced on two levels: coarse-grained parallelism by means of distributed grids and distributed data structures, and fine-grained parallelism by means of a hardware-aware cross-platform portable approach implemented in the linear algebra back-end. Modern numerical schemes in HiFlow3 are built on top of both levels of parallelism. Current projects using HiFlow3 are presented.
Modeling and Performance Evaluation of Hybrid Renewable Energy System Considering The Ageing of System Components

A new approach called ageing approach is presented in this paper while modeling and evaluation of the cost of the hybrid renewable energy system. The ageing effect of the system components directly affects the system performance which in turn affects the net present cost (NPC), generation cost (GC) and cost of energy (COE) of the hybrid system. Initially, the test system comprising hydro-wind-solar-fuel cell is considered without considering the ageing effect of the system components. The performance evaluation of the system is carried out with the help of an optimization technique called Bees algorithm (BA) and results of techno-economic feasibility analysis are presented. But this techno-economic analysis is not a true reflection of the real system because ageing of each component leads to the less efficient system. Therefore, system is again tested considering this ageing effect and modified results are reported. It is observed that the system performs with less efficiency and the cost of energy is high if ageing factor is considered. This result may lead to a real world implementation of the system more accurately and precisely.
The physical and physiological demands of small-sided games: How important is winning or losing?

The present study examined the effect that success (win) or failure (loss) during competitive small-sided games (SSG) has on physical and physiological demands. Twenty six outfield hurling players were monitored with GPS (4-Hz, VX Sport, New Zealand) and heart rate monitors (Polar Electro, Oy, Kempele, Finland). Total distance (m), high-speed distance (≥ 17 km·h-1; m), sprint distance (≥ 22 km·h-1; m) and peak velocities (km·h-1) during SSG were analysed. Time spent in different HR zones, maximum heart rate (HRmax), average HR and percentage of HRmax were also considered. Results showed significant effects for team success (win) on all collected variables, with successful teams showing significantly higher total distances (p = 0.013; d = 3.50 ± 0.30; very large) when compared to losing teams. Team success during SSG impacted high-speed performance with winning teams covering more distance (p = 0.002; d = 4.53 ± 0.46; very large). Similar trends were documented for physiological variables with significant effects reported for winning teams spending more time at higher percentages (≥95%) of HRmax when compared to losing teams (p = 0.013; d = 2.64 ± 0.34, very large). The current study has shown that success (win) or failure (loss) within SSG plays an important role for SSG design.
Tumor and Stem Cell Biology ING 5 Is a Tip 60 Cofactor That Acetylates p 53 in Response to DNA Damage

Posttranslational modification of p53 is a critical event in regulating the expression of its target genes. p53 is acetylated at lysine 120 (K120) by acetyltranferases Tip60 (KAT5) and hMOF (KAT8) in response to DNA damage. Identification of cofactors for these two enzymes will shed light on the mechanism by which cells make a choice between cell-cycle arrest and apoptosis. It has been reported that ING5, a member of the inhibitor of growth (ING) family, is involved in p53-dependent pathways, but its exact role is unknown. In this study, we found that ING5 expression was significantly increased and that ING5 assisted Tip60, but not hMOF, in acetylating p53 at K120 in response to DNA damage. ING5 had no effect on acetylation of p53 at K373/382, but it formed a complex with p53 and Tip60. ING5 was required for acetylation of p53 at K120, and p53 acetylated at K120 subsequently bound to the promoters of its target apoptotic genes, BAX and GADD45, to promote their expression and lead to apoptosis. Mutation of K120 to K120R abolished the effects of ING5 on p53-induced gene expression. Thus, we conclude that ING5 functions as a cofactor of Tip60 in the acetylation of p53 at K120 in response to DNA damage. Cancer Res; 73(12); 3749–60. 2013 AACR.
An Energy Manager for High Performance Computer Clusters

This paper presents a general energy management system for HPC clusters and cloud infrastructures that powers off cluster nodes when they are not being used, and conversely powers them on when they are needed. This system can be integrated with different HPC cluster middleware, such as Batch-Queuing Systems or Cloud Management Systems, by using a set of connectors, and is also able to deal with different mechanisms for powering on and off the computing nodes (such as Wake-on-Lan, Power Device Units, Intelligent Platform Management Interface or other infrastructure-specific mechanisms). While some existing Batch-Queuing Systems provide energy saving mechanisms, other popular choices lack this feature. Cloud management middleware do not generally provide this feature out of the box, and incorporating it implies making modifications to the middleware. The advantage of our approach is that it can be integrated with different resource management middleware, without needing any modification of that middleware. The paper describes the successful integration of the system proposed with the popular Torque/PBS management system, and also with the OpenNebula open source cloud management tool. Two real use-cases are presented, involving two different HPC clusters. These use cases show significant energy/costs savings of 38% and 16%.
Overlay Network Topology Reconfiguration in Byzantine Settings

Many fault-tolerant systems rely on overprovisioning of system resources to provide spare capacity that can compensate for faulty components. However, this approach often results in idle resources that would be otherwise unnecessary; these resources do not provide an effective contribution to the system functionality but they may adversely affect its performance (as in the case of unused replicas that take part in distributed protocols, generating more messages than would be necessary). In this paper we introduce a mechanism for reconfiguring an overlay network topology in Byzantine settings. Our protocols use backup nodes to replace failed ones while ensuring that a replacement node is able to join the network with a prescribed connectivity. We show that topology reconfiguration is a powerful mechanism that can be used for building intrusion-tolerant distributed systems.
Intelligent Traffic Light Control

Vehicular travel is increasing throughout the world, particularly in large urban areas. Therefore the need arises for simulating and optimizing traﬃc control algorithms to better accommodate this increasing demand. In this paper we study the simulation and optimization of traﬃc light controllers in a city and present an adaptive optimization al-gorithm based on reinforcement learning. We have implemented a traﬃc light simulator, Green Light District, that allows us to experiment with diﬀerent infrastructures and to compare diﬀerent traﬃc light controllers. Experimental results indicate that our adaptive traﬃc light controllers outperform other ﬁxed controllers on all studied infrastructures
Specification of generic APIs, or: why algebraic may be better than pre/post

Specification based on Floyd-Hoare logic, using pre- and post-conditions, is common in languages aimed at high integrity software. Such pre/postcondition specifications are geared towards verification of code. While this specification technique has proven quite successful in the past 40 years, it has limitations when applied to API specification, particularly specification of generic interfaces. API-oriented design and genericity is of particular importance in modern large-scale software development. In this situation, algebraic specification techniques have a significant advantage. Unlike pre/post-based specification, which deals with the inputs and outputs of one operation at a time, algebraic specification deals with the relationships between the different operations in an API, which is needed in the specification of generic APIs.
Neurophysiological evidence that musical training influences the recruitment of right hemispheric homologues for speech perception

Musicians have a more accurate temporal and tonal representation of auditory stimuli than their non-musician counterparts (Musacchia et al., 2007; Parbery-Clark et al., 2009a; Zendel and Alain, 2009; Kraus and Chandrasekaran, 2010). Musicians who are adept at the production and perception of music are also more sensitive to key acoustic features of speech such as voice onset timing and pitch. Together, these data suggest that musical training may enhance the processing of acoustic information for speech sounds. In the current study, we sought to provide neural evidence that musicians process speech and music in a similar way. We hypothesized that for musicians, right hemisphere areas traditionally associated with music are also engaged for the processing of speech sounds. In contrast we predicted that in non-musicians processing of speech sounds would be localized to traditional left hemisphere language areas. Speech stimuli differing in voice onset time was presented using a dichotic listening paradigm. Subjects either indicated aural location for a specified speech sound or identified a specific speech sound from a directed aural location. Musical training effects and organization of acoustic features were reflected by activity in source generators of the P50. This included greater activation of right middle temporal gyrus and superior temporal gyrus in musicians. The findings demonstrate recruitment of right hemisphere in musicians for discriminating speech sounds and a putative broadening of their language network. Musicians appear to have an increased sensitivity to acoustic features and enhanced selective attention to temporal features of speech that is facilitated by musical training and supported, in part, by right hemisphere homologues of established speech processing regions of the brain.
Codes from algebraic number fields

INTRODUCTION The geometry of numbers, coding theory, the Riemann hypothesis the list of key words for this lecture can be read as a partial history of the Stichting Mathematisch Centrum. The lecture itself attempts to reflect the spirit of the SMC by displaying a new connection between these subjects. Using ideas from the geometry of numbers one can construct a class of codes from algebraic number fields, and the study of the asymptotic properties of these codes depends on the generalized Riemann hypothesis. The construction described in this lecture is a generalization to algebraic number fields of the following idea to make a code. Let P be a finite set of prime numbers, and consider, for a suitable positive integer k, the set C of all elements
Enhanced Antigen Processing of Flagellin Fusion Proteins Promotes the Antigen-Specific CD8+ T Cell Response Independently of TLR5 and MyD88

Flagellin is a highly effective adjuvant for CD4+ T cell and humoral immune responses. However, there is conflicting data in the literature regarding the ability of flagellin to promote a CD8+ T cell response. In this article, we report that immunization of wild-type, TLR5−/−, and MyD88−/− adoptive transfer recipient mice revealed the ability of flagellin fusion proteins to promote OVA-specific CD8+ T cell proliferation independent of TLR5 or MyD88 expression by the recipient animal. Wild-type and TLR5−/− APCs were able to stimulate high levels of OVA-specific CD8+ T cell proliferation in vitro in response to a flagellin fusion protein containing full-length OVA or the SIINFEKL epitope and 10 flanking amino acids (OVAe), but not to OVA and flagellin added as separate proteins. This effect was independent of the conserved regions of flagellin and occurred in response to OVAe alone. Comparison of IFN-γ production by CD8+ effector cells revealed higher levels of SIINFEKL peptide–MHC I complexes on the surface of APCs that had been pulsed with OVAe–flagellin fusion proteins than on cells pulsed with OVA. Inhibition of the proteasome significantly reduced Ag-specific proliferation in response to OVAe fusion proteins. In summary, our data are consistent with the conclusion that flagellin–OVA fusion proteins induce an epitope-specific CD8+ T cell response by facilitating Ag processing and not through stimulatory signaling via TLR5 and MyD88. Our findings raise the possibility that flagellin might be an efficient Ag carrier for Ags that are poorly processed in their native state.
Toward Theme Development Analysis with Topic Clustering

Topic summarization and analysis is very important to understand an academic document collection and is very paramount for scientific research, which can help researchers find the hot field. Many scholars used the topic model to analyze the theme development, such as LDA. However, these methods need a pre-specified number of latent topics and manual topic labeling, which is usually difficult for people. Aiming to this problem, this paper proposes a method to analyze theme development with topic clustering. Different from the existing works, this paper uses the sliding window to cluster topics extracted in different time incrementally, the topic distance can be measured with KL-divergence. Some experiments on real data sets validate the effectiveness of our proposed method.
Fuzzy Cognitive Maps in modeling supervisory control systems

This paper investigates a hybrid methodology that combines fuzzy logic and neural networks, Fuzzy Cognitive Map (FCM), for modeling and controlling Supervisory Control Systems. A mathematical description of Fuzzy Cognitive Maps (FCM) will be presented and new construction methods will be extensively examined. A Fuzzy Cognitive Map will be developed to model and control a process example and the Supervisor-FCM model characteristics will be discussed. There is a going need for more autonomous and intelligent systems, especially in Complex Systems area, the application of Fuzzy Cognitive Maps for modeling the Supervisor may contribute to develop more sophisticated systems.
Parallelizing Motion JPEG 2000 with CUDA

Due to the rapid growth of Graphics Processing Unit (GPU) processing capability, using GPU as a coprocessor for assisting the CPU in computing massive data has become indispensable. Nvidia’s CUDA general-purpose graphical processing unit (GPGPU) architecture can greatly benefit single instruction multiple thread (SIMT) styled, computationally expensive programs. Video encoding, to an extent, is an excellent example of such an application which can see impressive performance gains from CUDA optimization. This paper details the experience of porting the motion JPEG 2000 reference encoder to the CUDA architecture. Each major structural/computational unit of JPEG 2000 is discussed in the CUDA framework and the results are provided wherever required. Our experimental results demonstrate that the CUDA based implementation works 20.7 times faster than the original implementation on the CPU.