Miracle-dz/UniFAR-FTUs huggingface dataset:
Stream Scheduling

Media applications can be cast as a set of computation kernels operating on sequential data streams. This representation exposes the structure of an application to the hardware as well as to the compiler tools. Stream scheduling is a compiler technology that applies knowledge of the high-level structure of a program in order to target stream hardware as well as to perform high-level optimizations on the application. The basic methods used by stream scheduling are discussed in this paper. In addition, results on the Imagine stream processor are presented. These show that stream programs executed using an automated stream scheduler require on average 98% of the execution time that hand-optimized assembly versions of the same programs require.
On the Privacy of Euclidean Distance Preserving Data Perturbation

We examine Euclidean distance preserving data perturbation as a tool for privacy-preserving data mining. Such perturbations allow many important data mining algorithms, with only minor modification, to be applied to the perturbed data and produce exactly the same results as if applied to the original data, e.g. hierarchical clustering and k-means clustering. However, the issue of how well the original data is hidden needs careful study. We take a step in this direction by assuming the role of an attacker armed with two types of prior information regarding the original data. We examine how well the attacker can recover the original data from the perturbed data and prior information. Our results offer insight into the vulnerabilities of Euclidean distance preserving transformations.
Riemann surfaces and Schrodinger potentials of gauged supergravity

Supersymmetric domain-wall solutions of maximal gauged supergravity are classified in 4, 5 and 7 dimensions in the presence of non-trivial scalar fields taking values in the coset SL(N, R)/SO(N) for N=8, 6 and 5 respectively. We use an algebro-geometric method based on the Christoffel-Schwarz transformation, which allows for the characterization of the solutions in terms of Riemann surfaces whose genus depends on the isometry group. The uniformization of the curves can be carried out explicitly for models of low genus and results into trigonometric and elliptic solutions for the scalar fields and the conformal factor of the metric. The Schrodinger potentials for the quantum fluctuations of the graviton and scalar fields are derived on these backgrounds and enjoy all properties of supersymmetric quantum mechanics. Special attention is given to a class of elliptic models whose quantum fluctuations are commonly described by the generalized Lame potential \mu(\mu+1)P(z) + \nu(\nu+1)P(z+\omega_1)+ \kappa(\kappa+1)P(z+\omega_2) + \lambda(\lambda+1)P(z+\omega_1 +\omega_2) for the Weierstrass function P(z) of the underlying Riemann surfaces with periods 2\omega_1 and 2\omega_2, for different half-integer values of the coupling constants \mu, \nu, \kappa, \lambda.
System design of a computer for time sharing applications

In the late spring and early summer of 1964 it became obvious that greater facility in the computing system was required if time-sharing techniques were to move from the state of an interesting pilot experiment into that of a useful prototype for remote access computer systems. Investigation proved computers that were immediately available could not be adapted readily to meet the difficult set of requirements time-sharing places on any machine. However, there was one system that appeared to be extendible into what was desired. This machine was the General Electric 635. The 635 is a single address stored program computer with a word length of 36 bits. It possessed many of the characteristics that were deemed necessary for the application of a computer to time-sharing. The three most important characteristics are: 1. A clean and comprehensive order code, 2. a multiprocessor capability, and 3. nonsynchronous design.
Traditional KMS : the four competence challenges

Ever since man first shared the knowledge of how to make fire with his fellow human beings, the management of knowledge has been employed by masters training their apprentices and by parents teaching their children. Managing knowledge is hence no new phenomenon. In recent years, however, the importance of knowledge in business and industry has risen dramatically, and shifted from being one resource amongst many to becoming the primary resource. Being able to effectively manage this resource has thus received the attention of many chief executives and Knowledge Management (KM) as a concept has become a vividly debated topic. Although knowing is a profoundly human ability, and acknowledging that an organization’s ability to apply its knowledge depends heavily on social factors, many commentators have argued that information technology (IT) can have a positive influence on an organization’s KM processes. Attempts have been made to design and apply many sorts of IT artefacts for creating, storing, transferring, and applying knowledge, and software vendors offer a multitude of KM systems (KMS). Practical results from KMS research, however, suggest that these systems often fail when implemented in the everyday practice of modern organizations. One possible explanation for the under-utilization that I have come across in my research is the imbalance between the additional workload required by the organizational members and accuracy and timeliness of the content needed for the KMS to be attractive (see Lindgren and Stenmark, 2002). This imbalance leads to a maintenance problem, which in turn results in systems that are of little use. Although KMS maintenance has been acknowledged as an important research issue, it remains a serious practical problem for organizations and there is little advice to be found in the literature. However, as indicated in my recent research, there are ways forward (see Stenmark & Lindgren, 2004). It is widely recognized that contributions from all organizational members are an important prerequisite for successful KMS (see e.g. Hahn and Subramani, 2000). Concurring with this, I argue that KMS must be designed so that the technology itself actively affords user participation. Drawing upon experiences from my work with three KMS implementations at Volvo in Sweden and lessons learned from the field of Computer Supported Collaborative Work (CSCW) in the 1980s, I present general design principles describing how KMS can be integrated with everyday work to leverage user practices. The objective is to demonstrate how KMS can be designed to better support knowledge application in organizational knowledge work processes and at the same time avoid the maintenance problem mentioned above.
Detection of five common CFTR mutations by rapid-cycle real-time amplification refractory mutation system PCR.

Cycle Real-Time Amplification Refractory Mutation System PCR, Eugene Dempsey, David E. Barton, and Fergus Ryan ( Department of Biological Sciences, Dublin Institute of Technology, Dublin, Ireland; 2 National Centre for Medical Genetics and Department of Paediatrics, University College Dublin, Our Lady’s Hospital for Sick Children, Crumlin, Dublin, Ireland; * address correspondence to this author at: Department of Biological Sciences, Dublin Institute of Technology, Kevin St., Dublin 8, Ireland; e-mail fergus.x.ryan@dit.ie)
An adaptive Cost-sensitive Classifier

Balancing Recall and Precision of rare class in cost-sensitive classification is a general problem. In this paper, we propose a novel cost-sensitive learning algorithm, named Adaptive Cost Optimization (AdaCO), which uses the resampling and genetic algorithm to build convex combination composite classifiers. In every base classifier's building, we use G-mean over Recall and Precision of rare class as the fitness function to find the optimal balance point in a reasonable misclassification costs space. We empirically evaluate and compare AdaCO with Cost-sensitive SVM (C-SVM in short) and CostSensitiveClassifier (CSC in short) over 6 realistic imbalanced bi-class datasets from UCI. The experimental results show that AdaCO does not sacrifice one class for the sake of the other, but produces high predictions on both classes.
Theoretical Impact of the Injection of Material Into the Myocardium: A Finite Element Model Simulation

Background— To treat cardiac injuries created by myocardial infarcts, current approaches seek to add cells and/or synthetic extracellular matrices to the damaged ventricle to restore function. Because definitive myocardial regeneration remains undemonstrated, we propose that cardiac changes observed from implanted materials may result from altered mechanisms of the ventricle. Methods and Results— We exploited a validated finite element model of an ovine left ventricle with an anteroapical infarct to examine the short-term effect of injecting material to the left ventricular wall. The model's mesh and regional material properties were modified to simulate expected changes. Three sets of simulations were run: (1) single injection to the anterior border zone; (2) therapeutic multiple border zone injections; and (3) injection of material to the infarct region. Results indicate that additions to the border zone decrease end-systolic fiber stress proportionally to the fractional volume added, with stiffer materials improving this attenuation. As a potential therapy, small changes in wall volume (≈4.5%) reduce elevated border zone fiber stresses from mean end-systole levels of 28.2 kPa (control) to 23.3 kPa (treatment), similar to levels of 22.5 kPA computed in remote regions. In the infarct, injection improves ejection fraction and the stroke volume/end-diastolic volume relationship but has no effect on the stroke volume/end-diastolic pressure relationship. Conclusions— Simulations indicate that the addition of noncontractile material to a damaged left ventricular wall has important effects on cardiac mechanics, with potentially beneficial reduction of elevated myofiber stresses, as well as confounding changes to clinical left ventricular metrics.
Exact Expectations of Minimal Spanning Trees for Graphs With Random Edge Weights

Two methods are used to compute the expected value of the length of the minimal spanning tree (MST) of a graph whose edges are assigned lengths which are independent and uniformly distributed. The first method yields an exact formula in terms of the Tutte polynomial. As an illustration, the expected length of the MST of the Petersen graph is found to be 34877/12012 = 2.9035. A second, more elementary, method for computing the expected length of the MST is then derived by conditioning on the length of the shortest edge. Both methods in principle apply to any finite graph. To illustrate the method we compute the expected lengths of the MSTs for complete graphs.
The most common way to capture the Dynamic 3 D Scene Reconstruction in Outdoor Environments

A number of systems have been developed for dynamic 3D reconstruction from multiple view videos over the past decade. In this paper we present a system for multiple view reconstruction of dynamic outdoor scenes transferring studio technology to uncontrolled environments. A synchronised portable multiple camera system is composed of off-the-shelf HD cameras for dynamic scene capture. For foreground extraction, we propose a multi-view trimap propagation method which is robust against dynamic changes in appearance between views and over time. This allows us to apply state-of-the-art natural image matting algorithms for multi-view sequences with minimal interaction. Optimal 3D surface of the foreground models are reconstructed by integrating multi-view shape cues and features. For background modelling, we use a line scan camera with a fish eye lens to capture a full environment with high resolution. The environment model is reconstructed from a spherical stereo image pair with sub-pixel correspondence. Finally the foreground and background models are merged into a 3D world coordinate and the composite model is rendered from arbitrary viewpoints. We show that the proposed system generates high quality scene images with dynamic virtual camera actions.
Anatomic Findings in a Case of Ventricular Pre‐Excitation (WPW) Terminating in Complete Atrioventricular Block

1. Electrocardiographic and detailed histological studies are presented of a case of ventricular pre-excitation with progressive A-V and intraventricular block terminating in complete A-V dissociation.2. Whereas the demonstration of a tract which leads from the atrial septal musculature to the A-V bundle bypassing the A-V node explains the short P-R interval, the delta wave is accounted for by the demonstration of unusually copious Mahaim fibers from the A-V bundle to the posterior portion of the muscular ventricular septum.3. Thus, this appears to be the first demonstration of Mahaim fibers responsible for A-V transmission in the pre-excitation syndrome.4. The correlation of the data permitted reconstruction of anatomic changes preceding, and responsible for, the gradual progression of the atrioventricular and intraventricular conduction disorder.5. On the basis of this correlation it would appear that the two characteristic criteria of ventricular pre-excitation, shortened P-R and the delta wave, may in some cases have a different anatomic background. A separation of these parameters permits an explanation of certain atypical and puzzling aspects encountered in the syndrome of ventricular pre-excitation and related conditions.
Open-Domain Conversation with a NAO Robot

In this demo, we present a multimodal conversationsystem, implemented using a Nao robot and Wikipedia. The system was developed at the 8th International Workshop on Multimodal Interfaces in Metz, France, 2012. The system is based on an interactive, open-domain spoken dialogue systemcalled WikiTalk, which guides the user through conversations based on the link structure of Wikipedia. In addition to speech interaction, the robot interacts with users by tracking their faces and nodding/gesturing at key points of interest within the Wikipedia text. The proximity detection capabilities of the Nao,as well as its tactile sensors were used to implement context-based interrupts in the dialogue system.
An 850 μm Survey for Dust around Solar-Mass Stars

We present the results of an 850 μm JCMT/SCUBA survey for dust around 13 nearby solar-mass stars. The dust mass sensitivity ranged from 5 × 10-3 to 0.16 M⊕. Three sources were detected in the survey, one of which (HD 107146) has been previously reported. One of the other two submillimeter sources, HD 104860, was not detected by IRAS and is surrounded by a cold, massive dust disk with a dust temperature and mass of Tdust = 33 K and Mdust = 0.16 M⊕, respectively. The third source, HD 8907, was detected by IRAS and ISO at 60-87 μm and has a dust temperature and mass of Tdust = 48 K and Mdust = 0.036 M⊕, respectively. We find that the deduced masses and radii of the dust disks in our sample are roughly consistent with models for the collisional evolution of planetesimal disks with embedded planets. We also searched for residual gas in two of the three systems with detected submillimeter excesses and place limits on the mass of gas residing in these systems. When the properties measured for the detected excess sources are combined with the larger population of submillimeter excess sources from the literature, we find strong evidence that the mass in small grains declines significantly on a ~200 Myr timescale, approximately inversely with age. However, we also find that the characteristic dust radii of the population, obtained from the dust temperature of the excess and assuming blackbody grains, is uncorrelated with age. This is in contrast to self-stirred collisional models for debris disk evolution, which predict a trend of radius increasing with age tage ∝ R. The lack of agreement suggests that processes beyond self-stirring, such as giant planet formation, play a role in the evolutionary histories of planetesimal disks.
Harmonic analysis of distributed generation in Smart City Búzios project

The commercial and industrial sectors have come up against paradigm changes that concern the need for improving their activities, in order to develop processes with less environmental impact, sustainable and energy-efficient, aiming at reducing energy consumption. Technologies based on renewable sources for power generation, such as solar and wind, have emerged as an alternative for these sectors. With the development of distributed generation technologies, such as photovoltaic cells, wind turbines, and so on, it is necessary to identify and classify the disturbances that embedded electronic systems in these technologies may cause on distributed grids. This paper presents some data collected and analyzed on the Smart City Búzios project, where were installed three small wind turbines and solar photovoltaic systems in different grid points. This work presents and discusses some data collected on these systems regarding harmonic analysis. In the remaining of this paper is discussed data related to: vertical wind turbines, photovoltaic system for charging electric vehicles, photovoltaic system feeding computerized command center and photovoltaic system powering LED lamps in public area.
Pain and psychology: Do we need to change the way we treat patient?

May it be a physical or psychological pain! If the patient is not able to communicate about his/her condition that does not mean that he/she is not having pain. Whenever we experience pain, there is an unpleasant sensation, which is an emotional aspect. According to this definition, pain may be present even if there is no tissue damage and thus, the definition avoids binding pain to the actual stimuli. In short, pain has sensory, emotional, and cognitive aspects, and it impacts patients’ function, affective status, and quality of life. [2]
Human Studies in the Pathophysiology of Migraine: Genetics and Functional Neuroimaging

The expansion of technologies available for the study of migraine pathophysiology has evolved greatly over the last 15 years. Two areas of rapid progress are investigations focusing on the genetics of migraine and others utilizing novel functional neuroimaging techniques. Genetic studies are increasingly focusing on sporadic migraine and the utilization of unbiased searches of the human genome to identify novel variants associated with disease susceptibility. At the same time, neuroimaging studies have provided novel insights into the altered neuronal and network dynamics of the migrainous brain. These 2 parallel approaches provide complementary insights into the complexity and heterogeneity of migraine.
A note on the radius of robust feasibility for uncertain convex programs

In this paper, the notion of the radius of robust feasibility is considered for a convex program with general convex and compact uncertainty set. An exact calculating formula for the radius of robust feasibility is given for this uncertain convex program. Moreover, we give a necessary and sufficient condition for robust feasibility for uncertain convex programs to be positive. We also give some examples to illustrate our results.
The C-flash and the ignition conditions of type Ia

Thanks to a stellar evolution code that is able to compute through the C flash we link the binary population synthesis of single degenerate progenitors of Type Ia supernovae (SNe Ia) to their physical condition at the time of ignition. We show that there is a large range of possible ignition densities and we detail how their probability distribution depends on the accretion properties. The low-density peak of this distribution qualitatively reminds of the clustering of the luminosities of Branch-normal SNe Ia. We tighten the possible range of initial physical conditions for explosion models: they form a one-parameter family, independent of the metallicity. We discuss how these results may be modified if we were to relax our hypothesis of a permanent Hachisu wind or if we were to include electron captures.
Unsupervised face image retrieval using adjacent weighted component-based patches

Face Image Retrieval (FIR) remains a challenging problem in many real word applications due to various pose and illumination alterations of face images. State-of-the-art systems attain good precision by utilizing Bag-of-Visual-Words (BoVW) retrieval model, but their average precision (AP) decline rapidly while retrieving face images, primarily because they disregard face-specific features, and generate low discriminative visual words, mainly at the quantization level. In this paper, we employ facial patch-based features to preserve more discriminative features at patch-level in order to achieve a higher precision. We take advantage of the TF-IDF voting scheme to give more weights to more discriminative facial features. First, features are extracted from facial components instead of the whole face which preserves more informative and person-specific features. Then, an adjacent patch-based comparison is performed to preserve more discriminative features at patch-level while scoring candidate face images. Finally, a weighting approach is implemented to give even more discrimination to different features from different face components. Experimental results on 1,000 face images from LFW (Labeled Faces in the Wild) indicate the superiority of proposed approach by means of higher mean average precision (mAP).
The X‐ray eclipse of OY Car resolved with XMM–Newton: X‐ray emission from the polar regions of the white dwarf

We present the XMM–Newton X-ray eclipse light curve of the dwarf nova OY Car. The eclipse ingress and egress are well resolved for the first time in any dwarf nova placing strong constraints on the size and the location of the X-ray emitting region. We find good fits to a simple linear eclipse model, giving ingress/egress durations of 30 ± 3 s (Δφorb= 0.0054 ± 0.0005). Remarkably, this is shorter than the ingress/egress duration of the sharp eclipse in the optical, as measured by Wood et al. (1989) and ascribed to the white dwarf (43 ± 2 s). We also find that the X-ray eclipse is narrower than the optical eclipse by 14 ± 2 s, which is precisely the difference required to align the second and third contact points of the X-ray and optical eclipses. We discuss these results and conclude that X-ray emission in OY Car arises most likely from the polar regions of the white dwarf.
The challenge of continuous mobile context sensing

In this paper, we highlight the challenge of continuously sensing context data from mobile phones. In particular, we show that the energy cost of this type of continuous sensing is extremely high if a) accuracy is desired, and b) power optimisations do not work well if multiple tasks are sensing concurrently. Our results are derived from our experience in building the LiveLabs context sensing platform. We present results for different types of sensing tasks; ranging from simple sensing using just one sensor all the way to multi-sensor sensing performed by concurrent high-level tasks. We end with a discussion of the challenges of supporting multi-task sensing across heterogeneous devices and operating systems.
The Expert System of Product Design Based on CBR and GA

This paper presents a simultaneous optimization method of a case-based reasoning (CBR) system using a genetic algorithm (GA) for product designing. Prior research proposed many hybrid models of CBR and the GA for product design. However, those models were not good at aiding at creative designing. In this study, CBR and GA combine with a algorithm process for simulation of directed similarity association according to human being's thought models. Experimental results show that the new hybrid model outperforms other conventional approaches for creative design.