Miracle-dz/UniFAR-FTUs huggingface dataset:
ARDWARE I MPLEMENTATION OF A G ENERAL P URPOSE F UZZY C ONTROLLER

A general purpose, fuzzy logic-based controller is proposed. Its main features are low cost, high speed, and adaptability to different applications. The two first characteristics are obtained resorting to an active-rule driven strategy to implement simplified inference mechanism. Adaptability is insured by the capability to choose among different defuzzification methods. quent supports to give more importance to crisper, rather than fuzzier, consequents [3]. Defuzzification methods have also been proposed which take into account the shape of fuzzy sets. The Level Grading Method (LGM) uses expression (2) to evaluate the controller output, but with w i proportional to consequent supports in its activation levels [4]. Unfortunately, hardware implementation of this method is difficult even if triangular memberships functions are used. This is unlike Yager’s method (YM), where the rule conclusions ci are calculated according to the corresponding activation level [5]. For triangular fuzzy sets, the controller output again depends on two parameters:
Non-linear prediction of rendering workload for grid infrastructure

Grid computing clusters a wide variety of geographically distributed resources. As a result it can be considered as a promising platform for solving large scale intensive problems. For this reason, it can be viewed as oneof the hottest issues in the computer society. A computational intensive application which can be gained from such a Grid infrastructure, is rendering, a process dealing with creating realistic computer-generated image and with many applications ranging from simulation to design and entertainment. To implement, however, a rendering process in a Grid infrastructure prediction of its computational complexity is required. In this paper, this is addressed by using several neural network modules, each of which is appropriate for a given rendering process. For this reason, a feature vector is constructed initially, to describe with high efficiency the parameters affecting the complexity of a rendering algorithm. The feature vector is estimated by parsing a file in a RIB format. Then, prediction is performed using a neural network model. Predictions for three types of rendering algorithms are examined; the ray tracing, the radiosity and the Monte Carlo irradiance analysis.
Hammer Time!: A Low-Cost, High Precision, High Accuracy Tool to Measure the Latency of Touchscreen Devices

We report on the Latency Hammer, a low-cost yet highaccuracy and high-precision automated tool that measures the interface latency of touchscreen devices. The Hammer directly measures latency by triggering a capacitive touch event on a device using an electrically actuated touch simulator, and a photo sensor to monitor the screen for a visual response. This allows us to measure the full end-toend latency of a touchscreen system exactly as it would be experienced by a user. The Hammer does not require human interaction to perform a measurement, enabling the acquisition of large datasets. We present the operating principles of the Hammer, and discuss its design and construction; full design documents are available online. We also present a series of tools and equipment that were built to assess and validate the performance of the Hammer, and demonstrate that it provides reliable latency measurements.
On the relative complexities of some geometric problems

We consider the relative complexities of a large number of computational geometry problems whose complexities are believed to be roughly (n4=3). For certain pairs of problems, we show that the complexity of one problem is asymptotically bounded by the complexity of the other. Almost all of the problems we consider can be solved in time O(n ) or better, and there are (n) lower bounds for a few of them in specialized models of computation. However, the best known lower bound in any general model of computation is only (n logn). The paper is naturally divided into two parts. In the rst part, we consider a large number of problems that are harder than Hopcroft's problem. These problems include various ray shooting problems, sorting line segments in IR, collision detection in IR, and halfspace emptiness checking in IR. In the second, we survey known reductions among problems involving lines in three-space, and among higher dimensional closestpair problems. Some of our results rely on the introduction of formal in nitesimals during reduction; we show that such a reduction is meaningful in the algebraic decision tree model.
Global optimization by center-concentrated sampling

The simulated annealing method is one of the probabilistic methods for optimization which attract much attention. The simulated annealing process can be analyzed as a time inh~ mogeneous Markov chain (or process), Several estimations of the convergence rate of the Markov chain (or process) are known. The estimations are, however, very small when the temperature becomes low. The author introduces a novel Markov process for continuous optimization. This Markov process is proved to converge rapidly when the temperature is low, provided some condition holds for the sampling density, a structural factor of the Markov process. The author offers an algorithm for simulation of the process, and some numerical experiments are carried out. The theoretical arguments and the results of the experiments show that annealing is not essential to such a probabilistic approach to continuous optimization.
Efficacy of SCH-56592 in a temporarily neutropenic murine model of invasive aspergillosis with an itraconazole-susceptible and an itraconazole-resistant isolate of Aspergillus fumigatus

SCH-56592 (SCH) is a novel triazole antifungal agent with excellent in vitro activity against Aspergillus. We compared three doses (5, 10, and 25 mg/kg of body weight) of SCH with itraconazole (ITZ; 25 mg/kg) and amphotericin B (AB; 5 mg/kg) in a temporarily neutropenic murine model of disseminated aspergillosis (lungs and kidneys) against one ITZ-susceptible (AF71) and one ITZ-resistant (AF90) isolate of Aspergillus fumigatus. Treatment started 24 h after infection and lasted for 10 days. Dosing regimens for SCH were once daily for 10 days, those for ITZ were three times daily for 2 days and then twice daily for 3 to 10 days, and those for AB were once daily on days 1, 2, 4, and 7. Both isolates killed 90% of control mice. Kidneys and lungs from survivors were cultured on day 11. Against AF71, all three doses of SCH and ITZ yielded a 90 to 100% survival rate and AB yielded 40% survival (P < or = 0.01 to 0.0001 for all treatment groups compared with the controls). All three doses of SCH were superior to AB in cultures of lung and kidney tissue samples (P < or = 0.01 to 0.0002) and SCH at 25 mg/kg was superior to ITZ in cultures of kidneys (P = 0.01). Against AF90, the highest dose of SCH (25 mg/kg) resulted in a 100% survival rate, compared with 60 and 20% survival rates for the groups treated with SCH at 10 and 5 mg/kg, respectively. Treatment with ITZ yielded no survivors. AB therapy achieved a 50% survival rate. SCH at 25 mg/kg (P < 0.001), SCH at 10 mg/kg (P < or = 0.005), and AB (P < 0.05) were superior to ITZ in cultures of lungs and kidneys. There was a correlation between the MICs of SCH and quantitative organ culture results and between the minimum fungicidal concentration of AB with quantitative organ culture results. SCH appears to be a highly effective anti-Aspergillus compound in this model. There appears to be a degree of cross-resistance between itraconazole and SCH.
Efficient exploration of pan-cancer networks by generalized covariance selection and interactive web content

Statistical network modeling techniques are increasingly important tools to analyze cancer genomics data. However, current tools and resources are not designed to work across multiple diagnoses and technical platforms, thus limiting their applicability to comprehensive pan-cancer datasets such as The Cancer Genome Atlas (TCGA). To address this, we describe a new data driven modeling method, based on generalized Sparse Inverse Covariance Selection (SICS). The method integrates genetic, epigenetic and transcriptional data from multiple cancers, to define links that are present in multiple cancers, a subset of cancers, or a single cancer. It is shown to be statistically robust and effective at detecting direct pathway links in data from TCGA. To facilitate interpretation of the results, we introduce a publicly accessible tool (cancerlandscapes.org), in which the derived networks are explored as interactive web content, linked to several pathway and pharmacological databases. To evaluate the performance of the method, we constructed a model for eight TCGA cancers, using data from 3900 patients. The model rediscovered known mechanisms and contained interesting predictions. Possible applications include prediction of regulatory relationships, comparison of network modules across multiple forms of cancer and identification of drug targets.
Bacterial secreted effectors and caspase-3 interactions

Apoptosis is a critical process that intrinsically links organism survival to its ability to induce controlled death. Thus, functional apoptosis allows organisms to remove perceived threats to their survival by targeting those cells that it determines pose a direct risk. Central to this process are apoptotic caspases, enzymes that form a signalling cascade, converting danger signals via initiator caspases into activation of the executioner caspase, caspase‐3. This enzyme begins disassembly of the cell by activating DNA degrading enzymes and degrading the cellular architecture. Interaction of pathogenic bacteria with caspases, and in particular, caspase‐3, can therefore impact both host cell and bacterial survival. With roles outside cell death such as cell differentiation, control of signalling pathways and immunomodulation also being described for caspase‐3, bacterial interactions with caspase‐3 may be of far more significance in infection than previously recognized. In this review, we highlight the ways in which bacterial pathogens have evolved to subvert caspase‐3 both through effector proteins that directly interact with the enzyme or by modulating pathways that influence its activation and activity.
Foveal Visual Strategy during Self-Motion Is Independent of Spatial Attention

Translational self-motion disturbs the stability of retinal images by inducing a pattern of retinal optic flow that cannot be compensated globally by a single eye movement. The eyes must rotate by different amounts, depending on which spatial location needs to be stabilized on the retina. However, compensatory eye movements during steady fixation are always such as to maintain visual acuity on the fovea at the expense of significant image slip on the peripheral retina. We investigated whether such a foveal visual strategy during translation is hard-wired or whether it embeds enough flexibility to also allow for behaviorally relevant objects outside the foveae to be stabilized preferentially on the retinas. Monkeys were moved forward or backward and leftward or rightward passively in darkness while planning a saccade or bar release to peripheral dimmed targets. By comparing the eye movements made during these tasks with those under conditions of steady fixation, we found that the motion-induced eye movements depended only on current fixation. This was true even during the last milliseconds just before a saccade to the peripheral target. We conclude that the foveal stabilization strategy is invariant and solely dependent on current eye position, a strategy that is optimal for both processing speed and efficiency in the extraction of heading information from retinal flow during self-motion.
Beyond the Laboratory: Clinical Implications for Statin Pleiotropy

Results from large-scale clinical trials of lipid lowering with 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase inhibitors (statins) have led to a revolution in the management of atherosclerosis. In addition to their potent effect on serum lipid levels, statins influence several other cellular pathways, including those involving inflammatory, oxidative, and thrombotic processes. These effects clearly have the potential to beneficially modify the atherogenic process, and it has been suggested that they contribute to the impressive results seen in the clinical trials. We review the clinical evidence for benefits of statin therapy that are distinct from their effect on lipid biology. In particular, we address three key issues: the role of statins in diseases not traditionally associated with elevated cholesterol levels; whether clinical benefits are seen with statin therapy before an effect on lipid levels; and whether the magnitude of clinical benefit observed with statin therapy is unrelated to the degree of cholesterol reduction. At present, low-density–lipoprotein lowering seems to be the primary mechanism underlying the clinical benefits of statin therapy and should remain the focus of risk-reduction strategies in clinical practice.
Third-Degree Stochastic Dominance and the von-Neumann-Morgenstern Independence Property

This paper is an investigation of the third-degree stochastic dominance order which has been introduced in the context of risk analysis and is now receiving an increased attention in the area of inequality measurement. After observing that this partial order fails to satisfy the von Neumann-Morgenstern property in the space of random variables, we introduce strong and local third-degree stochastic dominance. We motivate these two new binary relations and offer a complete and simple characterizations in the spirit of the Lorenz characterization of the second-degree stochastic order. The paper compares our results with the closest literature. JEL Classification Numbers: D31, D63.
Development of an Opinion Blog Mining System

Current search engines apply numerous innovative searching methods that are adhered to retrieve documents or web pages containing certain queried keywords along with their synonyms. Alternatively, the user might be interested in not just finding relevant documents or web pages to a query but also extracting the opinions or reviews commented previously on some topic, this is called opinion mining. This research aims to develop an opinion blog mining system, in general, the development process of Opinion system involves employing different models and schemes related to several computer science disciplines such as data mining, databases, social networks and information retrieval. Also, this research proposes a new opinion mining method that passes several phases that include the crawling of the reviews related to a certain search Query based on user. The expected system will be developed using the . NET 2008 environment.
Multimodal ubiquitous localization: a GPS/WiFi/GSM-based lightweight solution

Localization is a key support service for all users of mobile devices. We envision a lightweight localization service for Smartphones that overcomes the limitations of existing GPS-based approaches, namely their high energy cost and their issues with coverage. Our localization service uses GPS only if available and necessary, and employs other methods, such as WiFi and GSM, to achieve its goal of ubiquitous and energy-efficient operation. In this paper, we discuss our preliminary results as well as our future research directions.
BAYESIAN BASED SENTIMENT ANAYSIS OF TWITTER FEEDS

: In this paper we propose to scale the supervised learning approach of sentiment analysis of twitter data to huge volumes of training data. We achieve the same using MapReduce, an aggregation framework proposed by Google. The solution helps to achieve higher accuracy and we arrive at the best case of evaluation when Naïve Bayes learning is used and the technology can be escalated into real world analysis of Twitter feeds. The usage of sentiment analysis in recommendation engines is also discussed.
Between aesthetics and utility: designing ambient information visualizations

Unlike traditional information visualization, ambient information visualizations reside in the environment of the user rather than on the screen of a desktop computer. Currently, most dynamic information that is displayed in public places consists of text and numbers. We argue that information visualization can be employed to make such dynamic data more useful and appealing. However, visualizations intended for non-desktop spaces will have to both provide valuable information and present an attractive addition to the environment - they must strike a balance between aesthetical appeal and usefulness. To explore this, we designed a real-time visualization of bus departure times and deployed it in a public space, with about 300 potential users. To make the presentation more visually appealing, we took inspiration from a modern abstract artist. The visualization was designed in two passes. First, we did a preliminary version that was presented to and discussed with prospective users. Based on their input, we did a final design. We discuss the lessons learned in designing this and previous ambient information visualizations, including how visual art can be used as a design constraint, and how the choice of information and the placement of the display affect the visualization.
Structured interconnect architecture: a solution for the non-scalability of bus-based SoCs

Multi-Processor (MP-SoC) platforms are emerging as the latest trend in SoC design. Monolithic bus-based interconnect architectures will not be able to support the clock cycle requirements of these high performance SoCs. Systems having multiple smaller buses, integrated through repeaters or bridges, are possible alternatives. But these kinds of solutions are ad-hoc in nature. By adopting a more structured network-based design paradigm, specific clock cycle requirements can easily be met. The precise focus of this paper is to show how the butterfly fat tree (BFT) can meet this objective when used as the overall MP-SoC interconnect architecture, thereby offering an attractive alternative for SoC interconnect that does not suffer from the non-scalability aspect of the buses in regards to the clock cycle.
Games with Unawareness

Abstract We provide a tool to model and solve strategic situations where players’ perceptions are limited, as well as situations where players realize that other players’ perceptions may be limited and so on. We define normal, repeated, incomplete information, and extensive form games with unawareness using a unified methodology. A game with unawareness is defined as a collection of standard games (of the corresponding form). The collection specifies how each player views the game, how she views the other players’ perceptions of the game and so on. The modeler’s description of perceptions, the players’ description of other players’ perceptions, etc. are shown to have consistent representations. We extend solution concepts such as rationalizability and Nash equilibrium to these games and study their properties. It is shown that while unawareness in normal form games can be mapped to incomplete information games, the extended Nash equilibrium solution is not mapped to a known solution concept in the equivalent incomplete information games, implying that games with unawareness generate novel types of behavior.
Institucionalizar las políticas de inclusión digital: los programas de Argentina, Perú y Uruguay en perspectiva comparada

Basado en una investigacion de tesis doctoral, este articulo pretende explicar las razones de la institucionalizacion de los programas de inclusion digital, al comparar las modalidades de gestion e implementacion de los planes Ceibal (Uruguay) y Conectar Igualdad (Argentina), todavia vigentes, con el proyecto Una Computadora por nino de Peru, abandonado a principio de los anos 2010. Sostenemos que la preparacion logistica es determinante, como lo es tambien la arquitectura institucional. Concretamente, demostramos que los paises que innovaron en materia administrativa, favoreciendo la participacion de la sociedad civil y buscando mayor cooperacion interinstitucional, lograron perennizar sus politicas publicas. Revelamos igualmente que el rol de la autoridad politica (el presidente) es importante. Segun nuestro postulado, estos programas son interesantes a estudiar porque ilustran el “regreso del Estado” en materia de inversion social, asi como permiten apreciar su eficacidad a la hora de implementar politicas publicas presentadas como “revolucionarias”.
The Features of Copper Metabolism in the Rat Liver during Development

Strong interest in copper homeostasis is due to the fact that copper is simultaneously a catalytic co-factor of the vital enzymes, a participant in signaling, and a toxic agent provoking oxidative stress. In mammals, during development copper metabolism is conformed to two types. In embryonic type copper metabolism (ETCM), newborns accumulate copper to high level in the liver because its excretion via bile is blocked; and serum copper concentration is low because ceruloplasmin (the main copper-containing protein of plasma) gene expression is repressed. In the late weaning, the ETCM switches to the adult type copper metabolism (ATCM), which is manifested by the unlocking of copper excretion and the induction of ceruloplasmin gene activity. The considerable progress has been made in the understanding of the molecular basis of copper metabolic turnover in the ATCM, but many aspects of the copper homeostasis in the ETCM remain unclear. The aim of this study was to investigate the copper metabolism during transition from the ETCM (up to 12-days-old) to the ATCM in the rats. It was shown that in the liver, copper was accumulated in the nuclei during the first 5 days of life, and then it was re-located to the mitochondria. In parallel with the mitochondria, copper bulk bound with cytosolic metallothionein was increased. All compartments of the liver cells rapidly lost most of their copper on the 13th day of life. In newborns, serum copper concentration was low, and its major fraction was associated with holo-Cp, however, a small portion of copper was bound to extracellular metallothionein and a substance that was slowly eluted during gel-filtration. In adults, serum copper concentration increased by about a factor of 3, while metallothionein-bound copper level decreased by a factor of 2. During development, the expression level of Cp, Sod1, Cox4i1, Atp7b, Ctr1, Ctr2, Cox17, and Ccs genes was significantly increased, and metallothionein was decreased. Atp7a gene’s activity was fully repressed. The copper routes in newborns are discussed.
Nonlinear control of a doubly fed induction generator for wind energy conversion

Abstract—This paper deals with a variable speed device to produce electrical energy on a power network, based on a doubly-fed induction generator (DFIG) used in wind energy conversion systems. In the first place, we developed a model of the doubly fed induction machine. In order to control the power flowing between the stator of the DFIG and the power network, a control law is synthesized using two types of controllers : adaptive fuzzy logic and sliding mode. Their respective performances are compared in terms of power reference tracking, response to sudden speed variations, sensitivity to perturbations and robustness against machine parameters variations.