Miracle-dz/UniFAR-FTUs huggingface dataset:
OpenCL code generation for low energy wide SIMD architectures with explicit datapath

Energy efficiency is one of the most important aspects in designing embedded processors. The use of a wide SIMD processor architecture is a promising approach to build energy-efficient high performance embedded processors. In this paper, we propose a configurable wide SIMD architecture that utilizes explicit datapath to achieve high energy efficiency. To efficiently program the proposed architecture with a standard parallel programming language, we introduce a tool flow that can compile and map OpenCL programs onto it. The compiler in the proposed tool flow is able to analyze the static access patterns in OpenCL kernels and generate efficient mapping and code that utilizes the explicit datapath. Experimental results show that the proposed architecture is efficient. In a 128-PE processor, the proposed architecture is able to achieve over 200 times speed-up and reduce the energy consumption of register file and memory by over 90% compared to a RISC processor.
Virtual health card system

Electronic Health Records are key components to an efficient exploitation of information technologies in health care institutions. Nevertheless, several barriers that hinder its wide adoption subsists. The co-existence of dissimilar and incompatible health information systems and the absence of a unique central repository for personal medical data are some examples. This paper, we propose a web-based health records repository that allow citizens to have a unique virtual card that integrates all their personal clinical data. Privacy policies and the access control mechanisms are also discussed. Resumo Os registos médicos electrónicos são fundamentais para uma utilização eficiente das tecnologias de informação em instituições de saúde. No entanto, existem várias barreiras que atrasam a sua implementação em larga escala. A co-existência de sistemas de informação de saúde d́ıspares e incompat́ıveis, bem como a falta de um repositório central de informação médica pessoal, são alguns dos exemplos. Propomos um repositório médico, baseado em tecnologia web, disponibiliza aos cidadãos um cartão virtual único que agrega toda a sua informação médica. Questões relacionadas com a privacidade e mecanismos de controlo de acesso são também abordados.
Insights from the reconstitution of the divergent outer kinetochore of Drosophila melanogaster

Accurate chromosome segregation during mitosis and meiosis is crucial for cellular and organismal viability. Kinetochores connect chromosomes with spindle microtubules and are essential for chromosome segregation. These large protein scaffolds emerge from the centromere, a specialized region of the chromosome enriched with the histone H3 variant CENP-A. In most eukaryotes, the kinetochore core consists of the centromere-proximal constitutive centromere-associated network (CCAN), which binds CENP-A and contains 16 subunits, and of the centromere-distal Knl1 complex, Mis12 complex, Ndc80 complex (KMN) network, which binds microtubules and contains 10 subunits. In the fruitfly, Drosophila melanogaster, the kinetochore underwent remarkable simplifications. All CCAN subunits, with the exception of centromeric protein C (CENP-C), and two KMN subunits, Dsn1 and Zwint, cannot be identified in this organism. In addition, two paralogues of the KMN subunit Nnf1 (Nnf1a and Nnf1b) are present. Finally, the Spc105R subunit, homologous to human Knl1/CASC5, underwent considerable sequence changes in comparison with other organisms. We combined biochemical reconstitution with biophysical and structural methods to investigate how these changes reflect on the organization of the Drosophila KMN network. We demonstrate that the Nnf1a and Nnf1b paralogues are subunits of distinct complexes, both of which interact directly with Spc105R and with CENP-C, for the latter of which we identify a binding site on the Mis12 subunit. Our studies shed light on the structural and functional organization of a highly divergent kinetochore particle.
Optical Frequency Synthesis and Comparison with Uncertainty at the 10-19 Level

A femtosecond laser–based optical frequency synthesizer is referenced to an optical standard, and we use it to demonstrate the generation and control of the frequency of electromagnetic fields over 100 terahertz of bandwidth with fractional uncertainties approaching 1 part in 1019. The reproducibility of this performance is verified by comparison of different types of femtosecond laser–based frequency synthesizers from three laboratories.
Presenting a new method based on cooperative PSO to solve permutation problems: A case study of n-queen problem

Nowadays, we are involved with some problems with complex search space and nondeterministic answers. Therefore, methods which are able to find an optimal answer are very important. Particle swarm optimization (PSO) is one of these methods. In this paper, we present a new cooperative PSO method to solve permutation problems. In addition to eliminating disadvantages of standard PSO, this method provides parallel searching. In this method, every particle in the swarm is divided into some sub-particles, which make use of standard PSO to update their velocity. If a more optimum point than current position is found, sub-particles are updated. Due to primary studies on n-queen problem, which are presented in experimental results, our proposed method has exceeded standard PSO algorithm and other compared metaheuristic methods.
Inventory-Theoretic Model of Money Demand, Multiple Goods, and Price Dynamics

Despite the theoretical prediction based on sticky-price models, it is empirically suggested that the tie between the frequencies of price adjustment across goods and the relative price responses of goods (price index of specific goods over non-durable aggregate price index) to a monetary policy change is limited.We offer an alternative view of the price dynamics of goods. We develop a multi-sector extension of an inventory-theoretic model of money demand (segmented market model). In our model, the diversity in the characteristics of goods, that is, durability, luxuriousness and cash intensity (the portion of the payment that is paid by cash in the purchase of goods), yields the dispersion of relative prices responses to a monetary policy shock, across goods. The model implies that the relative prices of durables, luxuries and less cash-intensive goods tend to decline in a monetary contraction. We test the empirical plausibility of our model, using two approaches: a measure of monetary policy shock developed by Romer and Romer (2004), and a factor-augmented VAR used in Bernanke et al. (2005). In both econometric methodologies, we find that the data are consistent with our model, in terms of durability and luxuriousness.
Using introspective software-based testing for post-silicon debug and repair

As silicon process technology scales deeper into the nanometer regime, hardware defects are becoming more common, to the point of threatening yield rates and product lifetimes. Introspective software mechanisms hold great promise to address these reliability challenges with both low cost and high coverage. To address these challenges, we have developed a novel instruction set enhancement, called Access-Control Extensions (ACE), that can access and control a microprocessor's internal state. Using ACE technology, special firmware can periodically probe the microprocessor during execution to locate run-time faults, repair design errors (even those discovered in the field), and streamline manufacturing tests.
Development of Efficient Color Image Compression Technique using Modified JPEG 2000 Standard

A B S T R A C T The rapid growth of digital imaging applications, including desktop publishing, multimedia, teleconferencing, and high definition television (HDTV) has increased the need for effective and standardized image compression techniques. The most important problem in the communication of images through any channel is the huge amount of data and space taken by the images. The amount of data increased if the image is color image; hence most often the images are compressed before transmission. Lots of techniques are available for the Single channel image compression, i.e. for gray images. For still image compression, the “Joint Photographic Experts Group” or JPEG standard has been established by ISO (International Standards Organization) and IEC (International Electro-Technical Commission). Since then lots of work had been done on multi-channel image compression mostly based on JPEG compression. But rapid growth in modern communication demands the direct transmission and storage of color images with higher compression ratio and less mean square error (RMSE). The available JPEG standard can able to provide smaller root mean square error but not able to generate higher compression ratio. This arises the need of image compression techniques which can able to keep RMSE within an allowable range and simultaneously able to generate higher compression ratio (CR). This paper brought forward a mathematical modification on available JPEG 2000 image compression algorithm so that it can able to provide higher compression efficiency with allowable error rate and then the multichannel modified JPEG 2000 is implemented for color image compression using RGB color model.
A New Method for Estimation of the Source Coherency Structure of Wideband Sources

Based on the sources’ smoothed rank profile (SRP) and modified minimum description length (MMDL) principle, a method for estimation of the source coherency structure (SCS) and the number of wideband sources is proposed in this paper. Instead of focusing, we first use a spatial smoothing technique to pre-process the array covariance matrix of each frequency for de-correlating the sources and then use smoothed rank profile to determine the SCS and the number of wideband sources. We demonstrate the availability of the method by numerical simulations. Keywords—Wideband sources, source coherency structure (SCS), smoothed rank profile (SRP).
Bayesian Inference in the Presence of Determinism

In this paper, we consider the problem of performing inference on Bayesian networks which exhibit a substantial degree of determinism. We improve upon the determinismexploiting inference algorithm presented in [4], showing that the information brought to light by constraint propagation may be exploited to a much greater extent than has been previously possible. This is confirmed with theoretical and empirical studies.
Inexact newton preconditioning techniques for large symmetric eigenvalue problems

This paper studies a number of Newton methods and use them to define new secondary linear systems of equations for the Davidson eigenvalue method. The new secondary equations avoid some common pitfalls of the existing ones such as the correction equation and the Jacobi-Davidson preconditioning. We will also demonstrate that the new schemes can be used efficiently in test problems.
Techno‐economic analysis of FiWi access networks based on optimized source packet traffic

Fiber wireless access networks (FiWi) are capable of providing broadband 100 Mbit/s services with acceptable costs and can be considered as a competitive alternative to fiber to the home (FTTH). Techno‐economic analysis of viable FiWi architectures is needed in order to obtain the most suitable solution taking into account both technical and economical viewpoints. In this paper, a new approach to techno‐economic analysis of the FiWi networks is proposed. The proposed approach is based on the net present value calculation with the source packet traffic generation rate and traffic intensity as input parameters. As a precondition to net present value calculation, a traffic optimization procedure that assures the quality of experience is performed. Case study results indicate the usability of the proposed method.
An Integrated Partial Backlogging Inventory Model having Weibull Demand and Variable Deterioration rate with the Effect of Trade Credit

Demand considered in most of the classical inventory models is constant, while in most of the practical cases the demand changes with time. In this article, an inventory model is developed with time dependent two parameter weibull demand rate whose deterioration rate increases with time. Each cycle has shortages, which have been partially backlogged to suit present day competition in the market. Also the effect of permissible delay is also incorporated in this study. The total cost consists of ordering cost, inventory holding cost, shortage / backordering cost, lost sale cost and deterioration cost are formulated as an optimal control problem using trade credit policy. Optimal solution for the model is derived and the trade credit on the optimal replenishment policy are studied with the help of numerical examples.
Space Vector Pulse Width Modulation BasedSpeed Control of Induction Motor using FuzzyPI Controller

—This paper presents design and implements a voltage source inverter type space vector pulse width modulation (SVPWM) for control a speed of induction motor. In recent years, the field oriented control of induction motor drive is widely used in high performance drive system.It is due to its unique characteristics like high efficiency, good power factor and extremely rugged . This scheme leads to be able to adjust the speed of the motor by control the frequency and amplitude of the stator voltage, the ratio of stator voltage to frequency should be kept constant.The fuzzy logic controller is also introduced to the system for keeping the motor speed to be constant when the load varies.
The design of compassionate care.

AIMS AND OBJECTIVES To investigate the tension between individual and organisational responses to contemporary demands for compassionate interactions in health care. BACKGROUND Health care is often said to need more compassion among its practitioners. However, this represents a rather simplistic view of the issue, situating the problem with individual practitioners rather than focusing on the overall design of care and healthcare organisations, which have often adopted a production-line approach. DESIGN This is a position paper informed by a narrative literature review. METHODS A search of the PubMed, Science Direct and CINAHL databases for the terms compassion, care and design was conducted in the research literature published from 2000 through to mid-2013. RESULTS There is a relatively large literature on compassion in health care, where authors discuss the value of imbuing a variety of aspects of health services with compassion including nurses, other practitioners and, ultimately, among patients. This contrasts with the rather limited attention that compassionate practice has received in healthcare curricula and the lack of attention to how compassion is informed by organisational structures and processes. We discuss how making the clinic more welcoming for patients and promoting bidirectional compassion and compassion formation in nursing education can be part of an overall approach to the design of compassionate care. CONCLUSIONS We discuss a number of ways in which compassion can be enhanced through training, educational and organisational design, through exploiting the potential of brief opportunities for communication and through initiatives involving patients and service users, as well as practitioners and service leaders. RELEVANCE TO CLINICAL PRACTICE The development of contemporary healthcare systems could usefully address the overall design of compassionate care rather than blame individual practitioners for a lack of compassion.
Improving the Markowitz Model using the Notion of Entropy

The Mean-variance framework proposed by Markowitz is the most common model for portfolio selection problem. The most important concept in his theory is diversification. Diversification means designing an investment portfolio that reduces exposure risk by combining a variety of investments. But actually, the portfolios’ weights are often extremely concentrated on few assets when using mean-variance framework; this is a contradiction to the notion of diversification. Entropy is a well accepted measure of diversity. In this thesis, we discuss an improved mean-variance model based on maximum entropy theory (MVME). Entropy can be viewed as a measure of disparity from the uniform probability distribution. This approach can be viewed as a direct shrinkage of portfolio weights. The estimation errors, stability of portfolio weights, portfolio performance and degree of diversification for both mean-variance and the MVME framework are tested. Compared with the mean-variance framework, the improved model leads to a well diversified portfolio.
Bose-Einstein Condensation and Intermediate State of the Photon Gas

The possibility of the establishment of equilibrium between a photon and a dense photon bunch is studied. The condition of production of the Bose–Einstein condensate is obtained in the case when the density of plasma does not change. It is shown that the inhomogeneity of density of photons leads to a new intermediate state of the photon gas.
The Relationship Among Cultural Values, Emotional Intelligence And Job Outcomes

Changing customer needs, desires, and demands, emerging technologies, and intense competition among firms compel them to employ emotionally intelligent labour force from different cultural backgrounds and orientations to satisfy their customers, and stakeholders and become more competitive in their marketplace. In this respect, researchers on the notion of intelligence from cultural-psychology perspective have paid increasing attention to the interrelationship among cultural values, emotional intelligence and work-life outcomes. But still, the literature on emotional intelligence lacks both theoretical and empirical understanding of the process on how cultural values affects emotional intelligence variables. In a sense, there is a need that the effect of cultural values on emotional intelligence has been identified in the literature as an area which should be addressed. By studying 354 employees from multinational firms, we tested the process on how cultural values affects emotional intelligence variables. We also showed the emotional intelligence variables-job outcomes relationship. Finally, the managerial and theoretical implications of the study have been provided.
Una mirada a la Educación Ubicua

La incorporación de las Tecnologías de la información y la comunicación en el campo de la educación ha permitido grandes cambios en la forma tanto de enseñar como de aprender. Dicha incorporación ha llevado a generar nuevos escenarios en los cuales estos procesos se desarrollan de mejor manera. La educación Ubicua surge de la evolución de las Tecnologías de la Información y la Comunicación (TIC) y su incorporación dentro de los procesos de enseñanza-aprendizaje, buscando acercar el aprendizaje a contextos cercanos a los aprendices, logrando así una formación basada en el contexto. El artículo presenta un estado de arte acerca de la identificación de cuatro aspectos principales que deben ser tenidos en cuenta para la adecuada inclusión de la educación ubicua en un proceso de formación. Los cuatro aspectos identificados son: áreas de conocimiento en las cuales se puede aplicar, niveles educativos en los que se puede implementar, tecnologías de información que facilitan la implementación de recursos digitales para realizar este tipo de aprendizaje y se mencionan modelos de aprendizaje que intervienen en el aprendizaje ubicuo. Estos aspectos se abarcan desde la perspectiva de autores que han trabajado sobre los mismos, dando una visión de los aspectos que se deben considerar para una adecuada incorporación de la educación ubicua en un contexto adecuado. Al finalizar el artículo, se presenta mediante un mapa mental un contexto generalizado de lo expuesto y las conclusiones que se obtienen del desarrollo del mismo.
Detyrosination of tubulin regulates the interaction of intermediate filaments with microtubules in vivo via a kinesin-dependent mechanism.

Posttranslationally modified forms of tubulin accumulate in the subset of stabilized microtubules (MTs) in cells but are not themselves involved in generating MT stability. We showed previously that stabilized, detyrosinated (Glu) MTs function to localize vimentin intermediate filaments (IFs) in fibroblasts. To determine whether tubulin detyrosination or MT stability is the critical element in the preferential association of IFs with Glu MTs, we microinjected nonpolymerizable Glu tubulin into cells. If detyrosination is critical, then soluble Glu tubulin should be a competitive inhibitor of the IF-MT interaction. Before microinjection, Glu tubulin was rendered nonpolymerizable and nontyrosinatable by treatment with iodoacetamide (IAA). Microinjected IAA-Glu tubulin disrupted the interaction of IFs with MTs, as assayed by the collapse of IFs to a perinuclear location, and had no detectable effect on the array of Glu or tyrosinated MTs in cells. Conversely, neither IAA-tyrosinated tubulin nor untreated Glu tubulin, which assembled into MTs, caused collapse of IFs when microinjected. The epitope on Glu tubulin responsible for interfering with the Glu MT-IF interaction was mapped by microinjecting tubulin fragments of alpha-tubulin. The 14-kDa C-terminal fragment of Glu tubulin (alpha-C Glu) induced IF collapse, whereas the 36-kDa N-terminal fragment of alpha-tubulin did not alter the IF array. The epitope required more than the detyrosination site at the C terminus, because a short peptide (a 7-mer) mimicking the C terminus of Glu tubulin did not disrupt the IF distribution. We previously showed that kinesin may mediate the interaction of Glu MTs and IFs. In this study we found that kinesin binding to MTs in vitro was inhibited by the same reagents (i.e., IAA-Glu tubulin and alpha-C Glu) that disrupted the IF-Glu MT interaction in vivo. These results demonstrate for the first time that tubulin detyrosination functions as a signal for the recruitment of IFs to MTs via a mechanism that is likely to involve kinesin.
Chaotic Sequences Implementations on Residue Number Spread Spectrum System

generators implemented in spread spectrum communication system is analyzed and compared to those using conventional pseudo random code generators as maximum length, gold code generators. Image is used as a data source and the histogram of the spreaded image is analyzed. Applicability of different types of generators are studied by examining their autocorrelation, cross-correlation performance and the bit error rate for the communication system is evaluated for various codes. Finally, a residue number arithmetic is added to the system; this system is evaluated and compared to that of non residue number system, measuring the histogram of the spreaded image and the probability of error for the system is measured.
Isosurface Topology Simplification

Many high-resolution surfaces are created through isosurface extraction from volumetric representations, obtained by 3D photography, CT, or MRI. Noise inherent in the acquisition process can lead to geometrical and topological errors. Reducing geometrical errors during reconstruction is well studied. However, isosurfaces often contain many topological errors, in the form of tiny topological handles. These nearly invisible artifacts hinder subsequent operations like mesh simplification, compression, and parameterization. In this paper we present an efficient scheme for removing topological handles in an isosurface. Our scheme makes an axis-aligned sweep through the volume to locate handles, compute their sizes, and selectively remove them. Additionally, the algorithm is designed for out-of-core execution. It finds the handles by incrementally constructing and analyzing a surface Reeb graph. The size of a handle is measured as the shortest surface loop that breaks it. Handles are removed robustly by modifying the volume rather than attempting “mesh surgery. ” Finally, the volumetric modifications are spatially localized to preserve geometrical detail. We demonstrate topology simplification on several complex models, and show its benefit for subsequent surface processing. Additional