Miracle-dz/UniFAR-FTUs huggingface dataset:
Multivariate distributions based on general moments expansions: evidence from exchange rates

This paper proposes multivariate Semi-Nonparametric distributions (SNP) based on the General Moments Expansion (GME) to model portfolio returns distribution. The multivariate GME is as exible as other multivariate SNP distributions based on Gram-Charlier series and thus is capable of capturing salient empirical regularities of nancial data but it present at least two important advantages: (i) it embodies a much simpler polynomial structure which simpli es the analytical tractability of the density, specially when positive transformations are implemented; and (ii) it straightforwardly admits the consideration of any non-Normal distribution used as basis with the only requirement of having nite moments up to the expansion order. We show that if the expansion uses the Gaussian distribution as basis the two-step estimation procedure introduced by Engle (2002) can also be formally implemented for the GME distribution, thus overcoming the curse of dimensionalityof multivariate volatility modeling. We compare the performance of di¤erent multivariate SNP alternatives showing that the GME-DCC model is very easy to implement and provides very accurate results for capturing portfolio returns distribution. JEL classi cation: C16, G1.
From text to XML by structural information extraction

Facing tremendous volume of semi-structured XML and non-structured free text, network information retrieval is one of the most research hotspots in dealing with these data more efficiently, precisely and uniformly. Many traditional IR methods ignore text semantics and their labeling result has usually only one level, lacking of context expression as well, therefore structure extraction from free text and its conversion to XML format are studied, with a CRF based algorithm SIECRF provided. Experiment results are analyzed, showing its efficiency to extracting text structure and has a good application future.
Stabilization of Inverse Miniemulsions by Silyl-Protected Homopolymers

Inverse (water-in-oil) miniemulsions are an important method to encapsulate hydrophilic payloads such as oligonucleotides or peptides. However, the stabilization of inverse miniemulsions usually requires block copolymers that are difficult to synthesize and/or cannot be easily removed after transfer from a hydrophobic continuous phase to an aqueous continuous phase. We describe here a new strategy for the synthesis of a surfactant for inverse miniemulsions by radical addition–fragmentation chain transfer (RAFT) polymerization, which consists in a homopolymer with triisopropylsilyl protecting groups. The protecting groups ensure the efficient stabilization of the inverse (water-in-oil, w/o) miniemulsions. Nanocapsules can be formed and the protecting group can be subsequently cleaved for the re-dispersion of nanocapsules in an aqueous medium with a minimal amount of additional surfactant.
Survey on performance of Adaptive Modulation scheme with cooperative Diversity in wireless systems

Adaptive Modulation and cooperative Diversity are considered as two of the most commonly deployed techniques for wireless communication, which aims to compensate the performance degradation and enhance the capacity as much as possible. In this survey, several studies and research works that were introduced in the literature will be investigated, aided by the followed methodology and main concepts in addition to the main outcomes and conclusions. A comparison will be held between these studies based on different criteria & performance metrics. An evaluation that investigates the effect of using AM with cooperative diversity in wireless communication system performance in terms of SE and throughput aided with improvement values will be introduced. Furthermore; some key points that may be considered by the wireless designers to obtain effective cooperative and AM communication scheme will also be highlighted.
Towards a New Massively Parallel Computational Model for Logic Programming

The semantics of logic programs is commonly deened as the least xed point of an appropriate meaning operator. In case of normal programs, however, some undesired results do occur and it has recently been suggested to apply metric methods in order to overcome these problems. We show in this paper that these metric methods can be directly implemented by recurrent connectionist networks giving rise to a new massively parallel computational model for logic programming.
Cross Cultural Aspects of Biometrics

In this paper we summarize our first research results in the field of Cross Culture user authentication. We will investigate intercultural aspects of biometrics, both of technical and legal nature. Besides biometric based user authentication, Human-to-Computer interfaces are an important part of our work. We present a methodology for intercultural and multimodal data recording and testing of different hypotheses.
Describing soil surface microrelief by crossover length and fractal dimension

Accurate description of soil surface topography is essential because different tillage tools produce differ- ent soil surface roughness conditions, which in turn affects many processes across the soil surface boundary. Advan- tages of fractal analysis in soil microrelief assessment have been recognised but the use of fractal indices in practice re- mains challenging. There is also little information on how soil surface roughness decays under natural rainfall condi- tions. The objectives of this work were to investigate the decay of initial surface roughness induced by natural rain- fall under different soil tillage systems and to compare the performances of a classical statistical index and fractal mi- crorelief indices. Field experiments were performed on an Oxisol at Campinas, S˜ ao Paulo State (Brazil). Six tillage square (RMS). Both algorithms, SMV and RMS, gave equiv- alent results for D and l indices, irrespective of trend removal procedure, even if some bias was present which is in accor- dance with previous work. Treatments with two tillage op- erations had the greatest D values, irrespective of evolution stage under rainfall and trend removal procedure. Primary tillage had the greatest initial values of RR and l. Differ- ences in D values between treatments with primary tillage and those with two successive tillage operations were signif- icant for oriented but not for random conditions. The sta- tistical index RR and the fractal indices l and D decreased with increasing cumulative rainfall following different pat- terns. The l and D decay from initial value was very sharp after the first 24.4 mm cumulative rainfall. For five out of six tillage treatments a significant relationship between D and l was found for the random microrelief conditions allowing a covariance analysis. It was concluded that using RR or l together with D best allow joint description of vertical and horizontal soil roughness variations.
Características motoras de escolares com Transtorno de Déficit de Atenção com Hiperatividade/Motor characteristics of students with Attention Deficit Hyperactivity Disorder

Introducao: Criancas com Transtorno do Deficit de Atencao com Hiperatividade (TDAH) apresentam dificuldades motoras acentuadas e possivelmente apresentam o Transtorno do Desenvolvimento da Coordenacao (TDC) como coocorrente. Objetivo: Identificar o perfil motor de escolares com diagnostico interdisciplinar de TDAH. Metodo: Participaram do estudo 46 escolares, de ambos os generos, na faixa etaria de 7 a 10 anos e 11 meses de idade, de escolas publicas municipais de cidades do interior de Sao Paulo, distribuidos em dois grupos: Grupo I (GI) - composto por 23 escolares, com diagnostico interdisciplinar de TDAH; Grupo II (GII) - composto por 23 escolares com desenvolvimento tipico e com bom desempenho academico. Os escolares foram pareados segundo genero e faixa etaria. Os grupos passaram por avaliacao motora (Moviment Assessment Battery for Children - Second Edition — Movement ABC-2). Os dados foram analisados estatisticamente visando a caracterizacao e comparacao intra e intergrupos do perfil motor dos escolares. Resultados: Os resultados mostraram que no GI estiveram presentes 43,48% com indicativo de Transtorno do Desenvolvimento da Coordenacao (TDC), sendo a Habilidade do Equilibrio a mais acometida. No GII, nao foram encontrados escolares com indicativo de TDC. E possivel destacar uma incidencia de TDC na populacao com TDAH, em aproximadamente 43%. Conclusao: Esses achados reforcam a importância de acoes voltadas ao atendimento e diagnostico precoce desta populacao pelos professores e profissionais da saude, objetivando uma melhora na qualidade de vida dessas criancas e familiares envolvidos.
Carving Up the Social World with Generics

Generics are sentences such as “tigers are striped,” “lions have manes,” and “mosquitoes carry West Nile virus. ” Generics express generalizations, but unlike quantified statements, generics do not carry information about howmany members of the kind or category have the property. For example, if asked “how many ravens are black? ” one could reply “all [or some, or most, etc] ravens are black,” but one cannot felicitously reply with the generic “ravens are black” (Carlson 1977). Generics have long been the subject of considerable discussion in linguistics and philosophy, as they, unlike quantified statements, are extremely difficult to analyze truth conditionally (e.g., Carlson, 1977; Carlson and Pelletier, 1995; Cohen, 1996, 2004; Greenberg, 2003; Lawler, 1973; Leslie, 2007, 2008; Pelletier and Asher, 1997). As a simple illustration of part of the difficulty, consider the generics “lions have manes” and “lions are male”—the former would seem true, while the latter is false, even though of course it is only ever male lions that have manes. Similarly, we might note that “mosquitoes carry West Nile virus” is true, while “books are paperbacks” is false, even though over eighty percent of books are paperbacks, yet only one percent of mosquitoes carry West Nile virus.
What does organizational change mean?: Speculations on a taken for granted category

Despite widespread research on why and how organisations change, what constitutes change is often taken for granted. Its definition is avoided. Studies based on individuals' rational choice imply that change flows from purposive actions in accordance with an objective, external reality whereas contextualism argues that change results from institutional pressures, isomorphisms, and routines. But both depict change as the passage of an entity, whether an organisation or accounting practices, from one identifiable and unique status to another. Despite their differences over whether reality is independent, concrete and external, or socially constructed, both assume that actors (or researchers) can identify a reality to trace the scale and direction of changes. This reflects modernist beliefs that organisational space and time are unique and linear. The paper takes issue with this and argues that 'a-centred organisations' and 'drift' should replace conventional definitions or organisations and change. The arguments are inspired by the arguments of the sociology of translation and constructivism, and insights from two case studies of Enterprise Resource Planning system implementations in large multinational organisations. The latter illustrate how defining change is problematic - as new systems gave rise to multiple spaces and times within the organisations. The paper traces the implications of this for control and accounting studies tout court.
An Evolutionary Tabu Search Algorithm And The NHL Scheduling Problem

AbstractWe present in this paper a new evolutionary procedure for solving general optimization problems that combines efficiently the mechanisms of genetic algorithms and tabu search. In order to explore the solution space properly interaction phases are interspersed with periods of optimization in the algorithm. An adaptation of this search principle to the National Hockey League (NHL) problem is discussed. The hybrid method developed in this paper is well suited for Open Shop Scheduling problems (OSSP). The results obtained appear to be quite satisfactory.
Federal Reserve Bank of Minneapolis Research Department Staff Report 454 Transition to Fdi Openness: Reconciling Theory and Evidence *

Empirical studies quantifying the economic effects of increased foreign direct investment (FDI) have not provided conclusive evidence that they are positive, as theory predicts. This paper shows that the lack of empirical evidence is consistent with theory if countries are in transition to FDI openness. Anticipated welfare gains lead to temporary declines in domestic investment and employment. Also, growth measures miss some intangible FDI, which is expensed from company profits. The reconciliation of theory and evidence is accomplished with a multicountry dynamic general equilibrium model parameterized with data from a sample of 104 countries during 1980–2005. Although no systematic benefits of FDI openness are found, the model demonstrates that the eventual gains in growth and welfare can be huge, especially for small countries. and the NBER, for their comments on earlier drafts of the paper. For editorial assistance, I thank Kathy Rolfe and Joan Gieseke. For helpful tips on parallelizing my codes, I thank Graham Candler. Codes, data, and a separate technical appendix are available at my website, www.minneapolisfed. org/research. The views expressed herein are those of the author and not necessarily those of the Federal Reserve Bank of Minneapolis or the Federal Reserve System.
A queue model to detect DDos attacks

With the development of network communication and collaboration, distributed denial-of-service (DDos) attack increasingly becomes one of the hardest and most annoying network security problems to address. In this paper, we present a new framework to detect the DDos attacks according to the packet flows of specific protocols. Our aim is to detect the attacks as early as possible and avoid the unnecessary false positive. A Gaussian parametrical mixture model is utilized to estimate the normal behavior and a queue model is adopted for detecting the attacks. Experiments verify that our proposed approach is effective and has reasonable accuracy
Run-time Support for Real-Time Multimedia in the Cloud

This paper summarizes key research findings in the area of real-time performance and predictability of multimedia applications in cloud infrastructures, namely: outcomes of the IRMOS European Project, addressing predictability of standard virtualized infrastructures; Osprey, an Operating System with a novel design suitable for a multitude of heterogeneous workloads including real-time software; MediaCloud, a novel run-time architecture for offering on-demand multimedia processing facilities with unprecedented dynamism and flexibility in resource management. The paper highlights key research challenges addressed by these projects and shortly presents additional questions lying ahead in this area.
Artificial Intelligence : Art or Science ?

Computer programs are new kinds of machines with great potential for improving the quality of life. In particular, expert systems could improve the ability of the small, weak and poor members of society to access the information they need to solve their problems. However, like most areas of computing, expert systems design is currently practiced as an art. In order to realise its potential it must also become an engineering science: providing the kinds of assurances of reliability that are normal in other branches of engineering. The way to do this is to put the techniques used to build expert systems and other artificial intelligence programs onto a sound theoretical foundation. The tools of mathematical logic appear to be a good basis for doing this, but we need to be imaginative in their use -not restricting ourselves to the kind of deductive reasoning usually thought of as 'logical', but investigating other aspects of reasoning, including uncertain reasoning, making conjectures and the guidance of inference.
Sideline Assessment Tools for the Evaluation of Concussion in Athletes: A Review.

Sports-related concussions, which have become more prevalent in the past decade, are an extremely common phenomenon in organized athletics and create a substantial economic burden on the health care system. Furthermore, they can have devastating impacts on the athletic careers and long-term health of athletes. However, concussion evaluation remains a controversy with respect to diagnosis, management, and return-to-play guidelines for sports-related concussions. This is especially true of the immediate evaluation of sports-related concussion on the sidelines, where decisions must be made quickly and effectively with limited diagnostic resources. Considerable effort has been directed toward developing reliable and valid sidelines assessment modalities for concussion evaluation with a goal of accurately determining whether an athlete requires rapid removal from or is able to return to competition. This paper discusses the role of the concussion specialist on the sidelines during athletic competition and examines the current tools and resources available for the sidelines assessment of concussion. Additionally, new technologies, including electronic applications for Smartphones and tablets, as well as future directions in sidelines assessment of concussion are examined.
An Efficient EM based Ontology Text-mining to Cluster Proposals for Research Project Selection

Both the internet and the intranets contain more resources and they are called as text documents. Research and Development (R&D) scheme selection is a type of decision-making normally present in government support agencies, universities, research institutes and technology intensive companies. Text Mining has come out as an authoritative technique for extracting the unknown information from large text document. Ontology is defined as a knowledge storehouse in which concepts and conditions are defined in addition to relationships between these concepts. Ontology's build the task of searching alike pattern of text that to be more effectual, efficient and interactive. The present method for combine proposals for selection of research project is proposed by ontology based text mining technique to the data mining approach of cluster research proposals support on their likeness in research area. This proposed method is efficient and effective for clustering research proposals. Though the research proposal regarding particular research area is cannot always be accurate. This study proposed an ontology based text mining to group research proposals, external reviewers based on their research area. The proposed method like Efficient Expectation-Maximization algorithm (EEM) is used to cluster the research proposal and gives better results in more efficient way.
Temperature changes in the Heihe River Basin based on high accuracy surface modelling

In the context of global warming, significant differences in temperature changes occur in different regions. Obtaining a more accurate temperature distribution is important for studying regional climate change. A high accuracy surface modeling (HASM) was introduced using the air temperature output from the weather research and forecasting (WRF) model as the driving field, and observation data from meteorological stations as the accuracy control conditions to obtain 30 years of high accuracy temperature fields in the Heihe River Basin. Verified by ground‐based observations, the WRF model has a limited ability to simulate temperature conditions and performs worse in low altitude areas and in winter. The fusion results of the HASM decrease the mean absolute error from 2.21 to 0.9°C and decrease the root mean square error from 2.58 to 1.16°C, thus significantly increasing the accuracy compared with the original simulation from the WRF model and resulting in a more reasonable temperature analysis. The Mann–Kendall test shows clear warming in the Heihe River Basin, but there is a mutation year of 1998 in winter and annual average. The space–time distributions of and variations in the temperature from the HASM results are also analysed by dividing the study period into three subperiods. The analysis shows consistent warming except for the winter 2001–2010 period compared with the winter 1991–2000 period, in which the northeast area of the lower reaches of the Heihe River Basin was cool. Temperature changes in the Heihe River Basin also show that the sparsely populated Gobi Desert in the north and the southern high mountains show extreme sensitivity to climate change.
MIWOCI 2010, Mittweida Workshop on Computational Intelligence

We introduce a modification of batch gradient descent, which aims at better convergence properties and more robust minimization. In the course of the descent, the procedure compares the performance of the actual configuration with that of a gliding average over the most recent positions. If the latter corresponds to a lower value of the optimization objective, minimization proceeds from there and the step size of the descent is decreased. Here we present the prescription from a practitioner’s point of view and refrain from a detailed mathematical analysis. First, the method is illustrated in terms of a low dimensional example. Moreover, we discuss its application in the context of machine learning, examples corresponding to multilayered neural networks and a recent extension of Learning Vector Quantization (LVQ) termed Matrix Relevance LVQ.
Deformable 3D Reconstruction with an Object Database

Deformable 3D reconstruction from 2D images requires prior knowledge on the scene structure. Template-free methods use generic prior knowledge such as piecewise smoothness but require multiple images with significant baseline. Template-based methods require only one image but handle only one object for which they need specific prior knowledge, namely a 3D template. We here propose a novel method that alleviates the strong assumptions of both the template-free and template-based methods: our method uses multiple templates to achieve deformable 3D reconstruction from only one image and for multiple objects. It uses object recognition to automatically discover what objects are visible in the input image and to select the appropriate templates for deformable 3D reconstruction. The object database is built offline. Crucially, this database does not only contain appearance descriptors as in existing object recognition frameworks, but also material properties to facilitate deformable 3D reconstruction. We show successful experimental results with objects made of various materials such as paper, cloth and plastic.
A proposal management of the legacy network environment using OpenFlow control plane

The Future Internet will arise from the convergence of new network concepts and combine technologies, services, media and content. It will offer flexibility and diversity with scalable content and services that are accessible through a wide range of interfaces and devices. However, the biggest challenge now is how to enable and test the proposed approaches so that they can be validated without sacrificing the current production infrastructure. The OpenFlow protocol allows production networking environments such as campus networks, metropolitan networks or R&D networks, to be used as experimental infrastructure hosting, future Internet architectures, software and protocols, in parallel with the production traffic. During rollout, there is a practical problem that arises with Legacy networks that do not support OpenFlow and need to be replaced/upgraded or refined by means of costly network re-engineering. This paper proposes a new OpenFlow architecture with new components, capable of managing Legacy-non-OpenFlow elements by offering a new solution that facilitates the management of Legacy technologies and allows them to be employed in FI experimentation environment and increase the number of experiment with the Legacy Network Environment using OpenFlow control.