Miracle-dz/UniFAR-FTUs huggingface dataset:
PROBABILISTIC GRAPHICAL MODEL SUPPORTING EARLY DIAGNOSIS OF AUTISM SPECTRUM DISORDER

Bayesian networks are recognized as a suitable tool for modelling diagnostic problems. The power of this modelling is that it can combine knowledge coming from dif- ferent sources. For example, in case of medical domain, the expert knowledge can be merged along with the medical data. This paper presents a Bayesian network model for early diag- nosis of autism. The model was built based on the medical literature and then was revised by two domain experts. Our tool is dedicated to parents that can perform an early diagnosis of their child before visiting a specialist.
A dynamic instance binding mechanism supporting run-time variability of role-based software systems

Role-based approaches gain more and more interest for modeling and implementing variable software systems. Role models clearly separate static behavior represented by players and dynamic behavior modeled as roles which can be dynamically bound and unbound to players at run time. To support the execution of role-based systems, a dynamic binding mechanism is required. Especially, since instances of the same player type can play different roles in a single context, the binding mechanism is required to operate at instance level. In this paper, we introduce a mechanism called dynamic instance binding for implementing a runtime for role-based systems. It maintains a look-up table that allows the run-time system to determine and invoke the currently active role binding at instance level. We explain dynamic instance binding mechanism in detail and demonstrate that it is flexible enough to support both adaptation and evolution of software systems at run time.
Discovery of extended VHE gamma-ray emission from the asymmetric pulsar wind nebula in MSH 15-52 with H.E.S.S

The Supernova Remnant MSH 15-52 has been observed in very high energy (VHE) gamma-rays using the H.E. S.S. 4-telescope array located in Namibia. A gamma-ray signal is detected at the 25 sigma level during an exposure of 22.1 hours live time. The image reveals an elliptically shaped emission region around the pulsar PSR B1509-58, with semi-major axis 6' in the NW-SE direction and semi-minor axis 2' approximately. This morphology coincides with the diffuse pulsar wind nebula as observed at X-ray energies by ROSAT. The overall energy spectrum from 280 GeV up to 40 TeV can be fitted by a power law with photon index Gamma = 2.27 +/- 0.03(stat.) +/- 0.20(syst.). The detected emission can be plausibly explained by inverse Compton scattering of accelerated relativistic electrons with soft photons.
On Genes, Insects, and Crystals: Determining Marginal Diversification Effects With Nature Based Algorithms

A popular argument states that most of the diversification in a portfolio can be obtained with a rather small number of securities. In this paper we present three algorithms to approach the underlying NP-hard problem of portfolio optimization with a cardinality constraint. All three of these algorithms are based on evolutionary processes found in nature: Genetic Algorithms, Ant Systems, and Simulated Annealing. We find that either of the algorithms is well suited to solve the problem. In addition, we show for the stocks in the FT-SE 100 that a small number of well selected stocks might well cause a better diversification than a large number of more or less arbitrarily picked stocks despite their respective weights in the portfolio being optimized.
Impact of the Discovery of Human Zinc Deficiency on Health

The essentiality of zinc was recognized 46 years ago. Zinc deficiency resulting in growth retardation, hypogonadism, immune dysfunction and cognitive impairment affects nearly 2 billion subjects in the developing world. High phytate content of the cereal proteins consumed in the developing world, results in decreased availability of zinc for absorption. Zinc therapy has been very successful and life saving measure in patients with acrodermatitis enteropathica and Wilson's disease. Beneficial therapeutic responses of zinc supplementation have been ovserved in acute diarrhea in children, chronic hepatitis C, shigellosis, leprosy, leishmaniasis, and common cold. Zinc supplementation was effective in decreasing incidences of infection in elderly and patients with sickle cell disease. Zinc supplementation was effective in preventing blindness in 25% of the elderly with dry type of age related macular degeneration. Zinc supplementation in the elderly decreased oxidative stress and decreased generation of inflammatory cytokines. Zinc is an intracellular signaling molecule in monocytes, dendritic cells and macrophages and it plays an important role in cell-mediated immune functions and oxidative stress. Zinc is also an anti-inflammatory agent. These unique properties of zinc may have significant therapeutic benefits in several diseases in humans. In many diseases concurrent zinc deficiency may complicate the clinical features, affect adversely immunological status, increase oxidative stress and increase generation of inflammatory cytokines. Oxidative stress and chronic inflammation may play important causative roles in many chronic diseases, including atherosclerosis, several malignancies, neurological disorders, and auto-immune diseases. It is therefore, important that status of zinc is assessed and zinc deficiency corrected in these chronic diseases. A controlled clinical trial of zinc supplementation in these disorders in order to document the preventive and therapeutic effects of zinc is warranted.
Global industrial relations

Introduction Part 1: Regional Variations in Global Industrial Relations Systems 1. Industrial Relations in North America 2. Industrial Relations in Latin America 3. Industrial Relations in Western Europe 4. Industrial Relations in Eastern Europe 5. Industrial Relations in the Middle East 6. Industrial Relations in Australia and New Zealand 7. Industrial Relations in Asia 8. Industrial Relations in the Indian Subcontinent 9. Industrial Relations in Africa Part 2: Contemporary Themes in Global Industrial Relations 10. International Trends in Unionization 11. International Labour Standards 12. International Collective Bargaining 13. International Conflict: A Comparative Analysis of Strike Trends 14. The Juridification of Industrial Relations 15. Multinationals, Globalization and Industrial Relations
Black hole entropy is Noether charge.

We consider a general, classical theory of gravity in $n$ dimensions, arising from a diffeomorphism-invariant Lagrangian. In any such theory, to each vector field ${\ensuremath{\xi}}^{a}$ on spacetime one can associate a local symmetry and, hence, a Noether current ($n\ensuremath{-}1$)-form j and (for solutions to the field equations) a Noether charge ($n\ensuremath{-}2$)-form Q, both of which are locally constructed from ${\ensuremath{\xi}}^{a}$ and the fields appearing in the Lagrangian. Assuming only that the theory admits stationary black hole solutions with a bifurcate Killing horizon (with bifurcation surface $\ensuremath{\Sigma}$), and that the canonical mass and angular momentum of solutions are well defined at infinity, we show that the first law of black hole mechanics always holds for perturbations to nearby stationary black hole solutions. The quantity playing the role of black hole entropy in this formula is simply $2\ensuremath{\pi}$ times the integral over $\ensuremath{\Sigma}$ of the Noether charge ($n\ensuremath{-}2$)-form associated with the horizon Killing field. Furthermore, we show that this black hole entropy always is given by a local geometrical expression on the horizon of the black hole. We thereby obtain a natural candidate for the entropy of a dynamical black hole in a general theory of gravity. Our results show that the validity of the "second law" of black hole mechanics in dynamical evolution from an initially stationary black hole to a final stationary state is equivalent to the positivity of a total Noether flux, and thus may be intimately related to the positive energy properties of the theory. The relationship between the derivation of our formula for black hole entropy and the derivation via "Euclidean methods" also is explained.
Sri Lanka's Trade Policies: Back to Protectionism

In 1977 Sri Lanka was the first of the South Asian countries to decisively move away from the protectionist import-substitution trade policies that for many years had damaged their economic efficiency and hobbled their economic growth. Albeit with back-tracking episodes, Sri Lanka's liberalising trade policy reforms-especially reductions in the average level of import tariffs- were broadened and extended during the following 23 years. Together with other economic reforms this supported the rapid growth of manufactured exports, and made it possible for the economy to grow at moderate to high rates despite continuing political turmoil and civil war. Protectionist pressures began to build in 2001, however, and starting in November 2004, the relatively open trade policies of the past were explicitly and systematically reversed. By 2009, mainly through the proliferation of a variety of para-tariffs, Sri Lanka's tariff policies were just as protective as they had been more than 20 years earlier. The principal purpose of this paper is to describe, quantify and analyse these developments. The paper concludes by pointing out the serious potential damage of the protectionist trade policies to Sri Lanka's future economic growth, and the resulting subversion of its preferential trade agreements, especially the agreements with India (ILFTA), Pakistan (PSFTA) and with the South Asian countries as a group (SAFTA). It also comments on the resulting breaches of Sri Lanka's WTO commitments (especially in agriculture), and the more general issues that the unfettered use of para-tariffs by Sri Lanka and Bangladesh raise for the world multilateral trading system.
FPGA Implementation of Quadtree Partitioning Iterated Function Systems Applied to Medical Images

Owing to the growth of technology there is a need for high performance and high capacity systems to efficiently utilize the bandwidth during transmission of images. Hence Compression of medical Images is required for data storage and transmission. One such compression algorithms which is found effective for medical images is fractal image compression. Fractal image compression (FIC) is a lossy compression method. In fractal image compression, an image is coded as a set of contractive transformations in a complete metric space. The set of contractive transformations is guaranteed to produce an approximation to the original image. The demerits of this technique are that it has a long encoding time and a short decoding time. This paper addresses this problem through an optimal technique for Fractal image compression. An effective architecture for Quad-tree based partitioning of images is Modeled using HDL and synthesized using Xilinx 13.1 ISE simulator. This reduces the implementation cost as well as design time cycle The developed HDL design operates at 139.99 MHz and consumes less than 2W on Virtex 5-FPGA Board (XC5VLX110t-FF1136). The results showed that using the architecture designed for quad-tree Partitioning of image the encoding time was reduced considerably to 2.775 ns when compared to the SOFTWARE implementation of quad-tree Fractal Image Compression using Matlab. The architecture is designed for an 8× 8 image and can be extended for any size image.
Analiza transmisji szoków dla rynków giełdowych Czech, Węgier i Polski w okresie globalnego kryzysu

Kryzys, który wybuchł w USA w 2008 r. , przeniósł się na rynki w innych regionach świata, m.in. do krajów Europy Środkowo-Wschodniej. Po wygaśnięciu negatywnych skutków kryzysu w USA na światowych rynkach finansowych pojawiła się niepewność związana z kryzysem strefy euro. W niniejszym artykule prezentowane są oszacowania transmisji stóp zwrotu, szoków i zmienności w okresie boomu gospodarczego oraz w różnych fazach kryzysu finansowego, uzyskane za pomocą modelu VAR-GARCH-BEKK. Przeprowadzone badanie obejmuje podokresy zarówno stabilności, jak i niestabilności na rynkach kapitałowych Czech, Polski i Węgier. Uzyskane wyniki wskazują na wzrost powiązań pomiędzy stopami zwrotu z indeksów giełdowych w tych krajach w czasie kryzysu w porównaniu z okresem stabilności. Rezultaty oszacowań wskazują także na różnice pomiędzy krajami Grupy Wyszehradzkiej w przechodzeniu przez fazy kryzysu finansowego, mimo że inwestorzy często traktują Polskę, Czechy i Węgry jako jednolitą grupę.
A Layered Coalitional Game Framework of Wireless Relay Network

The wireless relay network (WRN) has recently emerged as an effective way to increase communication capacity and extend a coverage area with low cost. In the WRN, multiple service providers (SPs) can cooperate to share their resources (e.g., relay nodes and spectrum) to achieve higher utility in terms of revenue. Such cooperation can improve the capacity of the WRN and, thus, throughput for terminal devices (TDs). However, this cooperation can be realized only if fair allocation of aggregated utility, which is the sum of the utility of all the cooperative SPs, can be achieved. In this paper, we investigate the WRN consisting of SPs at the upper layer and TDs at the lower layer and present a game-theoretic framework to address the cooperation decision-making problem in the WRN. Specifically, the cooperation of SPs is modeled as an overlapping coalition formation game, in which SPs should form a stable coalitional structure and obtain a fair share of the aggregated utility. We also study the problem of allocating aggregated utility based on the concept of the Shapley value, which stabilizes the cooperation of SPs in the WRN. The cooperation of TDs is modeled as a network formation game, in which TDs establish links among each other to form a stable network structure. Numerical results demonstrate that the proposed distributed algorithm obtains the aggregated utility approximating the optimal solutions and achieves good convergence speed.
Overlapping communities in social networks

Traditionally, methods to identify community structure in networks have focused on partitioning the vertex set into a number of disjoint groups. However, recently proposed methods have included mechanisms to account for possible overlap between communities. These approaches have taken a wide variety of forms, resulting in a lack of consensus as to what characteristics overlapping communities should have. Additionally, the application of algorithms which account for community overlap are often justified via intuitive rather than empirical arguments. In this text, each of the issues mentioned above is examined. From previous literature, a minimal set of axioms which overlapping communities should satisfy is presented. Additionally, a modification of a previously published algorithm, iterative scan, is introduced to ensure that these properties are met. Finally, the overlap between communities discovered in a large, real world communication network is examined. The analysis offers empirical justification tha.
New insights into innate immune control of systemic candidiasis

Systemic infection caused by Candida species is the fourth leading cause of nosocomial bloodstream infection in modern hospitals and carries high morbidity and mortality despite antifungal therapy. A recent surge of immunological studies in the mouse models of systemic candidiasis and the parallel discovery and phenotypic characterization of inherited genetic disorders in antifungal immune factors that are associated with enhanced susceptibility or resistance to the infection have provided new insights into the cellular and molecular basis of protective innate immune responses against Candida. In this review, the new developments in our understanding of how the mammalian immune system responds to systemic Candida challenge are synthesized and important future research directions are highlighted.
Integrating Partial-Order Planning into the Orca Schema-Based Mission Controller

Reasoning about plans and actions is fundamental to intelligent control of real-world systems such as AUVs. These plans can come from a library of existing plans or from creating a new plan if no appropriate plan exists for the situation. The Orca project [Turner, 1994] is an ongoing effort to create an intelligent system for mission-level control of autonomous underwater vehicles. Orca’s primary means of achieving goals is to retrieve existing plans from memory and to apply them by doing their steps. This paper describes our effort to integrate partial-order planning into Orca’s schema-based planning mechanism. With this work, Orca first looks for an appropriate plan in its repertoire of plans to achieve a goal or a set of goals. If such a plan is not available, it considers more general plans. For some goals, even a generalized plan may not be readily available. In such cases, Orca uses partial-order planning to generate a specific plan “from scratch” for the problem-solving situation. This paper describes our implementation of such a planner and its seamless integration into Orca’s schema-based reasoning mechanism. Orca is now capable of creating new plans if necessary, criticizing and patching a plan (if needed) just prior to execution of the plan, and handling conjunctive, disjunctive, and negated goals.
A Pushing Approach for Data Synchronization in Cloud to Reduce Energy Consumption in Mobile Devices

With the increase in smartphone sales and the use of clouds, data synchronization is an essential activity in the mobile applications that aim to keep data up-to-date with information from the application server. This paper proposes an analysis of the main approaches for data synchronization concerning energy, which are the polling and pushing techniques. The results show a substantial gain in terms of energy consumption for the pushing technique when compared to the polling technique in mobile applications. An experimental environment based on Arduino and INA219 that allows current and voltage acquisition of 138 samples per second was used. Results showed a significant increase of 187% in terms of energy consumption when the polling technique was applied, which was more advisable than the use of the polling technique when one or more requests in a forty minute range are not necessary to be made.
Regions of attraction and recursive feasibility in robust MPC

For linear systems with multiplicative uncertainty, a formulation of robust model predictive control in a lifted space is given and is proven to give better or equal performance to any tube MPC approach that uses the same parameterisation of the input. Then a tube MPC controller is formulated that ensures recursive feasibility through the use of terminal sets in the degrees of freedom available to the controller. This is shown to give performance comparable to the lifted approach while avoiding an exponential growth in computation.
A Semantic Geo-Tagged Multimedia-Based Routing in a Crowdsourced Big Data Environment

Traditional routing algorithms for calculating the fastest or shortest path become ineffective or difficult to use when both source and destination are dynamic or unknown. To solve the problem, we propose a novel semantic routing system that leverages geo-tagged rich crowdsourced multimedia information such as images, audio, video and text to add semantics to the conventional routing. Our proposed system includes a Semantic Multimedia Routing Algorithm (SMRA) that uses an indexed spatial big data environment to answer multimedia spatio-temporal queries in real-time. The results are customized to the users' smartphone bandwidth and resolution requirements. The system has been designed to be able to handle a very large number of multimedia spatio-temporal requests at any given moment. A proof of concept of the system will be demonstrated through two scenarios. These are 1) multimedia enhanced routing and 2) finding lost individuals in a large crowd using multimedia. We plan to test the system's performance and usability during Hajj 2015, where over four million pilgrims from all over the world gather to perform their rituals.
Corporate Finance Workbook: A Practical Approach

Part I: Learning Outcomes, Summary Overview, and Problems. Chapter 1. Corporate Governance. Chapter 2. Capital Budgeting. Chapter 3. Cost of Capital. Chapter 4. Capital Structure and Leverage. Chapter 5. Dividends and Dividend Policy. Chapter 6. Working Capital Management. Chapter 7. Financial Statement Analysis. Chapter 8. Mergers and Acquisitions. Part II: Solutions. Chapter 1. Corporate Governance. Chapter 2. Capital Budgeting. Chapter 3. Cost of Capital. Chapter 4. Capital Structure and Leverage. Chapter 5. Dividends and Dividend Policy. Chapter 6. Working Capital Management. Chapter 7. Financial Statement Analysis. Chapter 8. Mergers and Acquisitions. About the CFA Program.
MolRec at CLEF 2012 - Overview and Analysis of Results

We present the results and analysis of our chemical struc- ture recognition system, MolRec, in the CLEF 2012 chemical structure recognition task. MolRec analyses a diagram image, extracts vectorised components from the image and applies a rule based system to construct an internal representation of the chemical structure. This internal repre- sentation can then be exported to MOL or SMILE format. The task assigned in CLEF was to analyse two sets of chemical diagram images clipped from patent documents. The rst set is of 965 diagram im- ages, the results of which could be evaluated automatically using Open- Babel. The second set is a more challenging collection of 95 images which include elements not supported by OpenBabel and which therefore have to be evaluated manually. On the rst set, MolRec achieved recognition rates of between 94.91% and 96.18% over 4 runs with slightly dierent parameters. On the more exacting second set, MolRec's recognition rate was between 46.32% and 58.95%. Overall the results testied to high performance on a large sample of quite complex diagrams but also to the challenges posed by the more dicult images that appear in real patent documents.
Bounded attitude stabilization of rigid bodies without attitude estimation and velocity measurement

Practically, the attitude control of rigid bodies necessitates the estimation of the orientation and the measurement of the angular velocity. Consequently, the computational cost of the control loop is relatively high. In the present paper, two bounded control laws for attitude stabilization are proposed; the first one is designed without attitude estimation but using angular velocities measurements while the second control law does not even need angular velocity measurement. Based on saturation functions, the control laws are highly simple. Only the measurements of at least two non-collinear directional sensors are needed, which makes this new strategy suitable for embedded implementations. Moreover, the control laws are bounded, preventing the saturation of actuators and increasing their efficiency. The global convergence of the control law is proved. Simulations with some robustness tests (sensors noise and external disturbances) are performed.