Miracle-dz/UniFAR-FTUs huggingface dataset:
A hipótese de eficiência de mercado e a performance dos fundos de ações brasileiros

Este trabalho teve como objetivo avaliar a performance dos fundos de acoes brasileiros referenciados ao Ibovespa, abrangendo o periodo de janeiro de 2000 a marco de 2007. Essa avaliacao foi feita pela otica do investidor, tendo como referencia as premissas da Hipotese de Eficiencia de Mercado (HEM). Os resultados apontaram que os fundos passivos tiveram desempenho inferior ao Ibovespa, enquanto os fundos ativos conseguiram rendimentos proximos ao Ibovespa. Os resultados dos fundos passivos e ativos apresentaram desempenho proximo ao que seria esperado, de acordo com a HEM, quando considerados os custos envolvidos. Ao mesmo tempo, os fundos ativos alavancados apresentaram rendimentos notadamente superiores ao do Ibovespa, ficando em desacordo ao que se poderia esperar pela HEM e pelos niveis de risco apresentados.
Financial Instability and the Euro Area Macroeconomic Dynamics

This paper characterizes the dynamics of the real effects of shocks in financial sector in the post-Euro introduction period. It does so by confronting a number of structural Bayesian vector autoregressions with several possible patterns of time variation in coefficients and disturbance variances. The results consistently show a one-time financial shock, in periods of 'financial turmoil', as having a negative effect on output more than twice as large as the one in 'tranquil' times. This results from changes only in the behavior of the financial system, as long as heteroskedasticity is properly taken into account. Changing dynamics turn out to be crucial in explaining macroeconomic variability.
Anatomy of a Semantic Web-enabled Recommender System

Interleaving reasoning and selection by knowledge summarization is a method to deal with the scalability in large-scale data searches and reasoning. Many existing methods have been developed to improve searches on large-scale data, which require high performance hardware support (with emphasizes on Parallelization and Cloud architectures). Because the scale of the semantic data grows faster than the hardware performance, only rely on the improvements of hardware and architecture innovation will not always work, especially in resource limited environments. Interleaving reasoning and selection by knowledge summarization does not rely on high-performance hardware. Instead of a global check on all the data, this method only explores partial data by using heuristic strategies. To achieve this goal, some preprocess need to be done offline, including dividing and summarization. The dividing process cut the original dataset into small chunks, and the summarization process gives the heuristic information to measure how far the target chunks are. For each query, the heuristic information is calculated with a function to estimate the possibility of the answers appearing in a chunk. When a query comes, the heuristic information will be used to find the chunks with high possibility of partially answering the query. Then the query will be executed against the found chunks, in descending order of their possibility. Interleaving reasoning and selection does not require completeness, so searches based on knowledge summarization can stop at any time, and the most possible chunks will be selected first to answer the query. This method enables personal computer or even mobile devices have the ability to deal with large-scale data, and some experiments on the RDF version of the MEDLINE dataset has been done to prove the proposed method. The summarization is to describe the original dataset with a quite small size. It can be expressed as ontologies in different perspectives. With these ontologies, and other external ontologies related to a query, this method can process the query with reasoning features. Based on this method, a prototype system named Knowledge Intensive Summarization System (KISS) is developed and the system indicates that the proposed method is potentially effective.
Kundenorientierte Mitgliederförderung durch Wettbewerb im Genossenschaftssektor

Neben den Volksund Raiffeisenbanken existieren in Deutschland mit den SpardaBanken und den PSD-Banken zwei weitere landesweit aktive kreditgenossenschaftliche Bankengruppen. Im vorliegenden Beitrag wird untersucht, inwieweit diese Institutsgruppen Gemeinsamkeiten und Unterschiede hinsichtlich der Umsetzung des Förderungsauftrags aufweisen. Da vor allem im Privatkundenbereich diese Genossenschaftsbanken im intrasektoralen Wettbewerb stehen, urteilt der Markt über die Attraktivität der verschiedenen Förderungskonzepte. Die Ausführungen schließen mit einer empirischen Überprüfung des Markterfolgs durch Maßnahmen der Mitgliederförderung.
Studying the Human Cortex Transcranial Magnetic Stimulation at the Interface with Other Techniques : A Powerful Tool for

Transcranial magnetic stimulation (TMS) has developed into a very powerful tool in the hands of basic and clinical neuroscientists alike to study function and dysfunction of the human brain noninvasively and painlessly. However, as a stand-alone technique, the potential of TMS to gain knowledge is relatively limited. This potential can be strongly enhanced by combining TMS with simultaneous measurements in other electrophysiological (EEG) or imaging modalities (PET, fMRI, NIRS, MRS) or by combining TMS with exposure to neuroactive drugs (pharmaco-TMS). This review provides an up-to-date synopsis of these combined approaches and highlights important examples that have advanced our understanding of how TMS interacts with neuronal networks in the human brain.
Some basic complexity results Lecturer :

Recall that in the closest vector problem we are given a lattice and a target vector (which is usually not in the lattice) and we are supposed to find the lattice point that is closest to the target point. More precisely, one can consider three variants of the CVP, depending on whether we have to actually find the closest vector, find its distance, or only decide if it is closer than some given number:
Da Legitimidade Democrática à Efetividade Social: análise do Conselho Administrativo de Recursos Fiscais - CARF

Com a preocupacao de se avaliar as possibilidades e os limites dos mecanismos de participacao para uma tatica emancipatoria dos trabalhadores, o presente artigo apresenta uma analise do Conselho Administrativo de Recursos Fiscais – CARF a partir dos conceitos advindos da ciencia politica no debate sobre representacao na sociedade civil. Apos, sugere uma analise de realidade que parte do concreto articulando particularidade e totalidade. Assim, contrapoe os conceitos que determinam a legitimidade democratica as determinacoes da realidade que conformam a efetividade social do CARF, desvelando seu carater de classe obscurecido pela aparencia da paridade formal entre sociedade civil e Estado.
Texture classification using random forests and support vector machines

Texture analysis is considered fundamental and important in the fields of pattern recognition, computer vision and image processing. Texture analysis mainly aims to computationally represent an intuitive perception of texture and to facilitate automatic processing of the texture information for artificial vision systems. In this paper, we have compared between texture classification methods based on the Random Forest (RF) and Support Vector Machine (SVM) classifiers by using various extraction feature methods namely bi-orthogonal wavelet transform, gray level histogram and co-occurrence matrices. Each of these methods has used to classify the image separately at first, and they have combined together secondly. Experiments were conducted on two different databases. The first texture database is CUReT and the second database was collected from Outex database. The results have revealed that, RF and SVM have yielded higher classification precision.
CIRCADIAN REGULATION OF PHOTOMORPHO- GENESIS

From a public lecture given in 1906 by Hermann Minkowski, former college teacher in mathematics to Albert Einstein soon after Einstein announced his special theory of relativity. In considering the environment of an organism we cannot consider the spatial environment alone – the dimension of time impinges upon all life on earth. The interaction between an organism and its spatial environment varies tremendously with time. This volume has already considered the range of responses to light throughout the life of a plant, from germination, through seedling establishment, control of plant architecture to transition to flowering. The stage in a seedling’s development plays a major role in determining how it will respond to a particular light treatment. The responses involved in inducing germination are very different from those involved in triggering flowering and yet the same photoreceptors may be involved at both stages. However, environmental responses vary not only over the course of development, they vary over a much shorter timescale – that of a single day. As the earth rotates, the immediate environment of a plant will vary considerably. In particular, temperature and light intensity will gradually change over the course of the day with dramatic transitions accompanying sunrise and sunset. A response to any environmental factor that is appropriate in the early part of the day may no longer be advantageous towards evening. This is most certainly the case for plant responses to light. For example, the light-activation of genes encoding the photosynthetic machinery is of great advantage at dawn but would be of little advantage at sunset. Early investigations showed that, in fact, plants are exquisitely adapted to deal with this problem. These light-responsive genes are no longer strongly induced by light at sunset – their response varies over the course of that day to give maximum advantage to the plant. Actually, many of the plant responses that have been discussed in this volume vary in their degree of responsiveness to light depending the time of day and, in this way, plants are exquisitely adapted to the earth’s rotation. “ ”
A GPS‐based three‐dimensional lightning mapping system: Initial observations in central New Mexico

A GPS‐based system has been developed that accurately locates the sources of VHF radiation from lightning discharges in three spatial dimensions and time. The observations are found to reflect the basic charge structure of electrified storms. Observations have also been obtained of a distinct type of energetic discharge referred to as positive bipolar breakdown, recently identified as the source of trans‐ionospheric pulse pairs (TIPPs) observed by satellites from space. The bipolar breakdown has been confirmed to occur between the main negative and upper positive charge regions of a storm and found to be the initial event of otherwise normal intracloud discharges. The latter is contrary to previous findings that the breakdown appeared to be temporally isolated from other lightning in a storm. Peak VHF radiation from the energetic discharges is observed to be typically 30 dB stronger than that from other lightning processes and to correspond to source power in excess of 100 kW over a 6 MHz bandwidth centered at 63 MHz.
Speech recognition co-processor

With computing trend moving towards ubiquitous computing propelled by the advances in embedded mobile processors and battery technology, speech recognition is becoming an essential part of embedded processor I/O device. Speech recognition is also used in command and control and automated customer service. Real time speech recognition application is both computation and memory intensive and it overwhelms even a high end multi-gigahertz processor to achieve real time performance. An embedded mobile device cannot support real time large vocabulary speech recognition application as the processors are less aggressive because of tighter power budget. Hardware solution to speech recognition, in the past, have mainly concentrated on building specialized hardware or ASIC accelerators to run software speech application faster but have largely ignored design for large vocabulary and power reduction. In this work, we propose a hardware-software co-design for real time large vocabulary speech recognition. Our design has custom ASIC blocks and RAM memories and a low power processor. The processor maintains a high level control over the blocks and processes parts of speech recognition application which is not computation and memory intensive. The custom ASIC computes the Gaussian probability and performs word search in the dictionary. The RAMs are used for storing the intermediate values and states. The design can handle large vocabulary speech recognition in real time on a mobile embedded device. Our word search uses innovative dictionary word layout in memory which reduces bandwidth by a factor of 11 compared to software implementation and by a factor of 4 compared to other ASIC implementation. One unit of our proposed design can perform 4x and 20x better than other proposed design of specialized hardware design for software speech application in computing the Gaussian probability and word search, respectively.
Birational automorphism groups and the movable cone theorem for Calabi-Yau manifolds of Wehler type via universal Coxeter groups

Thanks to the theory of Coxeter groups, we produce the first family of Calabi-Yau manifolds $X$ of arbitrary dimension $n$, for which ${\rm Bir}(X)$ is infinite and the Kawamata-Morrison movable cone conjecture is satisfied. For this family, the movable cone is explicitly described; it's fractal nature is related to limit sets of Kleinian groups and to the Apollonian Gasket. Then, we produce explicit examples of (biregular) automorphisms with positive entropy on some Calabi-Yau varieties.
Busca Genética de Funções de Pertinência em Controladores Nebulosos

In this paper we present a system that demonstrates the power of search and optimization of Genetic Algorithms in the generation of fuzzy membership functions. Results of experiments, concerning the control of the temperature and flow of water in showers, have proved the feasibility of finding, by genetic search, membership functions that allow controllers to work properly.
Preventivni programi usmjereni na smanjenje vršnjačkog nasilja u osnovnim školama na području Osječko-baranjske županije

Cilj ovog istraživanja je bio ispitati koji se preventivni programi usmjereni na smanjenje vrsnjackog nasilja provode u osnovnim skolama na podrucju Osjecko- baranjske županije te kakva im je uspjesnost. U istraživanju smo koristili anketni upitnik kreiran posebno u ovu svrhu. Istraživanje smo proveli sa strucnim suradnicima (pedagozi i psiholozi) zaposlenim u 67 osnovnih skola na podrucju Osjecko-baranjske županije. Rezultati istraživanja su pokazali da vecina skola (91%) u ovoj županiji provodi neki od programa prevencije vrsnjackog nasilja. Rezultati pokazuju i to da skole u kojima se preventivni program provodi vise godina uzastopno procjenjuju da u njihovim skolama dolazi do veceg smanjenja nasilja. Prema dobivenim podacima među skolama ne postoji statisticki znacajna razlika u procjeni uspjesnosti (smanjenju nasilja) obzirom na duljinu trajanja programa. Također, skole u kojima je veci broj razlicitih skupina sudionika bio ukljucen u provedbu ne procjenjuju veci uspjeh preventivnog programa u odnosu na skole s manjim brojem razlicitih skupina sudionika.
Strategie léčby bipolární afektivní poruchy

Cilem nasi prace bylo zjistit stavajici zvyklosti ve farmakoterapeutických postupech při lecbě bipolarni afektivni poruchy v ramci nasi ambulantni praxe a posoudit jejich ucelnost i ucinnost. Zaměřili jsme se take na rozhodovaci procesy při stanoveni lecby, a to zejmena ve vztahu k ordinaci antipsychotik. Klicova slova: bipolarni afektivni porucha
Abstract—millimeter-wave (mmw) Holographic Imaging Has Been Demonstrated Effective for Security Surveillance, Especially for Personnel Surveillance. However, Coherent Effects, Such As

speckle, and the low signal-to-noise (SNR) may destroy image clarity and make it difficult for automatic target recognition. In order to improve the image quality of MMW image, an iterative reconstruction method based on total variance regularization is presented in this paper. Experiments based on a 35 GHz MMW holographic imaging system have been done to verify the proposed method. The results preserve better edges and the disturbance of speckle and noise is reduced.
Hydrology and water quality of a drained loblolly pine plantation in coastal North Carolina

This paper evaluates 17 years (1 988-2004) of hydrologic and water quality data from a drained pine plantation in eastern North Carolina. The plantation age was 14 years at the beginning of the investigation (1988) and 30 years at the end (2004). The 17-year average rainfall of 1538 rnm was 1 1 % higher than the 50-year (1 95 1-2000) long-term data of 139 1 mm observed at the nearest US Weather Bureau station in Morehead City, NC. Annual rainfall (and drainage outflow expressed as a % of rainfall) varied from as low as 852 mm (5 % outflow) in the driest year (2001) to as high as 1308 mm (56% outflow) in the wettest year (2003), with an average of 33%. The daily outflows occurred much more frequently in winter resulting in 62% of rain as outflow than other seasons. The drainage outflow (runoff) on this watershed was primarily subsurface flow to drainage ditches and was related to water table depth as shown by a good correlation between the annual outflow and the average water table depth (R2 = 0.75), which in turn, also correlated well with the rainfall (R2 = 0.69). The water table depths tended to be close to the surface mostly during the winter and early spring, and during summer tropical storms, but were as deep as 2.5 m during the dry summer-fall periods. There was no relationship (R ~ = 0.01) between the annual average water table depth and the annual average evapotranspiration (ET), calculated as the difference between annual rainfall and outflow, indicating that the ET may not have been limited by soil moisture conditions during the study period at the site. This was also indicated by the estimated average annual ET of 997 mm, which was 2.8% higher than the Penman-Monteith based annual potential ET (PET) for a grass reference that varied between 782 mm to 1097 mm with an average of 970 mm. Although nitrogen (N) levels in drainage water were elevated after commercial thinning of the stand in late 1988 followed by fertilization, these elevated levels reduced substantially by 1995. Average annual concentrations of total N ranged from 0.57 mg L-l to 2.0 mg L-I with a lon-term average of 1.1 1 mg L". Annual average values for total P ranged k from 0.01 to 0.06 mg L-, with an average of 0.03 mg u'. The average annual total N and …
Filtering in Decision Systems

Classi catory data ltering is concerned with reducing data in size while preserving classication information. Düntsch and Gediga [2] presented a rst approach to this problem. Their technique collects values of a single feature into a single value. In this paper we present a novel approach to classi catory ltering, which can be regarded as a generalisation of Düntsch and Gediga's approach. This approach is aimed at collecting values of a set of features into a single value. We look at the problem abstractly in the context of lattice. We focus on hypergranules (arrays of sets) in a problem domain, and it turns out the collection of all hypergranules is a lattice. Our solution (namely LM algorithm) is formulated to nd a set of maximal elements for each class, which covers all elements in a given dataset and is consistent with the dataset. This is done through the lattice sum operation. In terms of decision systems, LM collects attributes values while preserving classi cation structure. To use the ltered data for classi cation, we present and justify two measures (C and C) for the relationship between two hypergranules. Based on the measures, we propose an algorithm (C2) for classi cation. Both algorithms are evaluated using real world datasets and are compared with C4.5. The result is analysed using statistical test methods and it turns out that there is no statistical difference between the two. Regression analysis shows that the reduction ratio is a strong indicator of prediction success.
Competition indicators for the UK deposit-taking sector

We use a new regulatory dataset to estimate competition in the UK deposit-taking sector. The novelty of this study is two-fold. First, the dataset allows us to explore trends in competition intensity over an extended, 24 year period from 1989 to 2013 using data for UK regulated firms which encompasses a wider range of firms than for previous studies. Second, we take a portmanteau approach and estimate a number of different performance-based competition measures common in the literature to support conclusions on the intensity of competition over the period. Our estimates of the Lerner index, the Panzar-Rosse H-statistic and the Boone indicator suggest that competition intensity was strong at the beginning of our sample, but became less intense in the early 2000s. However, the deposit-taker business model bundles together activities in several markets simultaneously, so strong competition in some markets can be offset by the extraction of market rents in others. Importantly, competition intensity decreased (and the ability of UK deposit takers to extract market rents from customers increased) in the period immediately ahead of the financial crisis (2003-2007).
A Compression Algorithm Based on the Classified Interpolative Block Truncation Coding and Vector Quantization

In this paper, the mean square error with block truncation coding (BTC) is analyzed to propose a classified interpolative BTC algorithm with VQ for improving the interpolative BTC with VQ [7]. The simulation results indicate that the bit rate and PSNR of this classified interpolative BTC algorithm with VQ are better than those of the interpolative BTC algorithm with VQ [7].
Résumé vidéo par regroupement de seams

Résumé Des millions de caméras de surveillance sont déployées dans les rues, les aéroports, etc. Des outils de résumé vidéo sont devenus indispensables pour traiter rapidement et à faible coût cette immense quantité d’informations. Nous proposons ici une approche de résumé vidéo par seam carving qui permet d’ajouter des contraintes sur les seams une fois ceux-ci calculés, ce qui laisse plus de flexibilité et permet de faire un résumé qui s’adapte mieux au contenu. Notre approche permet de faire rentrer dans la scène un objet alors que le précédent n’en est pas encore sorti et cela en diminuant très fortement les anachronismes temporels et les déformations géométriques des objets d’intérêt. Nous obtenons un très bon taux de réduction temporelle tout en préservant les objets d’intérêt.
Long time behaviour of a stochastic-Lagrangian particle system for the Navier-Stokes equations

Abstract. This paper is based on a formulation of the Navier-Stokes equations developed in arxiv:math.PR/0511067 (to appear in Commun. Pure Appl. Math), where the velocity field of a viscous incompressible fluid is written as the expected value of a stochastic process. In this paper, we take N copies of the above process (each based on independent Wiener processes), and replace the expected value with 1 N times the sum over these N copies. We prove that in two dimensions, this system has (time) global solutions with C initial data. Further, we show that as N → ∞ the system converges to the solution of Navier-Stokes equations on any finite interval [0, T ]. However for fixed N , we prove that this system retains roughly O( 1 N ) times it’s original energy t → ∞. For general flows, we only provide a lower bound to this effect. In the special case of shear flows, we compute the behaviour as t → ∞ explicitly.