Miracle-dz/UniFAR-FTUs huggingface dataset:
A Global Goodness‐Of‐Fit Statistic for the Proportional Hazards Model

A simple alternative to the proportional hazards model is considered, whereby the regression coefficients can vary with time. It leads to a statistic which can be used for checking the assumption of proportional hazards. In the two‐sample problem, this statistic is the same as Schoenfeld's (1980); a conservative version, computationally simple, is proposed in this case.
Toward social constructivist understandings of IS success and failure: introducing a new computerized reservation system

This article is based on an intensive case study, the implementation of a computerized reservation system (CRS) in a transport organization, and adopts a non-essentialist stance to analyze its failure aspects. Providing a rich description of micro-level, organizational,and macro-level events and techno-economic networks enabled us to depart from managerialist and technologist accounts of the failure. The analysis draws on constructivism and the sociology of technology, more specifically actor-network theory and the notions of symmetry and translation. An effort is made to combine elements of both the global and the local in identifying a series of translations occurring in the case study. To complement actor-network theory, a critical analysis is also necessary to examine how power relationships are creating disadvantage and can further explain failure.
Search and optimization of the periodic gait of leg locomotion systems

— The task of reproducing artificial legged locomotion presents lots of challenges, most of them related to the system dynamics, which is non-linear, hybrid and under actuated. Recently the scope of legged locomotion changed from static stability to dynamical stability, in which the dynamics of the system plays an important role in the development of control algorithms that have as a main goal the construction of a stable limit cycle. This article projects a periodic control for trot without the air phase for a quadruped though the multiple shooting method with Hermite-Simpson direct collocation. The algorithm was first tested in a monopod where the control for hopping and forward hopping was searched, such that the optimization occurred after finding the periodic gait and for each case the stability of the control was determined through the Floquet Multipliers from Poincare's map. The quadruped system could not be wholly analyzed because the search for the periodic gait failed for the initial estimation, leaving this analysis for future researches.
Characterization of Lévy Processes by a duality formula and related results

Processes with independent increments are characterized via a duality formula, including Malliavin derivative and difference operators. This result is based on a characterization of infinitely divisible random vectors by a functional equation. A construction of the difference operator by a variational method is introduced and compared to approaches used by other authors for Lévy processes involving the chaos decomposition. Finally we extend our method to characterize infinitely divisible random measures. Introduction The term duality formula mentioned in the title refers to the duality relation between annihilation and creation operator on the Fock space. If X is a process with independent increments and HX the space of square integrable functionals that are σ(X)-measurable, thenHX has a chaos decomposition that is isomorphic to the Fock space, see Itô [11]. Thus the abstract duality relation on the Fock space has a probabilistic interpretation. For smooth, cylindrical test functionals F(X) = f (Xt1 , . . . ,Xtn ) and step functions βt = ∑k j=1 β j1(s j,s j+1](t) this means that the operators of annihilation F(X) 7→ DtF(X) + Ψt,qF(X) := n ∑ j=1 ∂ j f (Xt1 , . . . ,Xtn )1[0,t j](t) + F(X + q1[t,∞)) − F(X),
SUPERVISED DICTIONARY LEARNING By

It is now well established that sparse signal models are well suited to restoration tasks and can effectively be learned from audio, image, and video data. Recent research has been aimed at learning discriminative sparse models instead of purely reconstructive ones. This paper proposes a new step in that direction, with a novel sparse representation for signals belonging to different classes in terms of a shared dictionary and multiple discriminative class models. The linear variant of the proposed model admits a simple probabilistic interpretation, while its most general variant admits an interpretation in terms of kernels. An optimization framework for learning all the components of the proposed model is presented, along with experimental results on standard handwritten digit and texture classification tasks.
Trc150094 attenuates progression of nontraditional cardiovascular risk factors associated with obesity and type 2 diabetes in obese ZSF1 rats

: Chronic overnutrition and consequential visceral obesity is associated with a cluster of risk factors for cardiovascular disease and type 2 diabetes mellitus. Moreover, individuals who have a triad of hypertension, dysglycemia, and elevated triglycerides along with reduced high-density lipoprotein cholesterol have a greater residual cardiovascular risk even after factoring for the traditional risk factors such as age, smoking, diabetes, and elevated low-density lipoprotein cholesterol. In our previous study we demonstrated that TRC150094, when administered to rats receiving a high-fat diet, stimulated mitochondrial fatty acid oxidation (FAO) and reduced visceral adiposity, opening an interesting perspective for a possible clinical application. In the present study, oral administration of TRC150094 to obese Zucker spontaneously hypertensive fatty rats (obese ZSF1) improved glucose tolerance and glycemic profile as well as attenuated a rise in blood pressure. Obese ZSF1 rats treated with TRC150094 also showed reduced hepatic steatosis, reduced progression of nephropathy, and improved skeletal muscle function. At the cellular level, TRC150094 induced a significant increase in mitochondrial respiration as well as an increased FAO in liver and skeletal muscle, ultimately resulting in reduced hepatic as well as total body fat accumulation, as evaluated by magnetic resonance spectroscopy and magnetic resonance imaging, respectively. If reproduced in humans, these results could confirm that TRC150094 may represent an attractive therapeutic agent to counteract multiple residual cardiovascular risk components. end diastolic pressure-volume relationship; eSPVr, end systolic pressure-volume relationship; LV, left ventricular; PrSW, pre-recruitable stroke work.
Inverse eigenvalue problem for pseudo-symmetric Jacobi matrices with two spectra

ABSTRACT In this paper, we consider construction of a pseudo-symmetric Jacobi matrix. We denote the matrix obtained by deleting the mth row and column of matrix J by . Using two spectra, the spectrum of pseudo-symmetric Jacobi matrix J and spectrum of matrix , we propose an algorithm for constructing the original matrix J. We give sufficient conditions for uniqueness of the solution. Finally, a test problem is given.
On the resolution probability of conditional and unconditional maximum likelihood DOA estimation

The outlier production mechanism of maximum likelihood direction-of-arrival estimators is investigated. The objective is to provide an accurate description of the probability of resolution for both conditional and unconditional maximum likelihood methods in the small sample size regime. To that effect, the asymptotic behavior of these two cost functions is analyzed assuming that both the number of antennas and the number of available snapshots increase without bound at the same rate, so that both quantities are comparable in magnitude. The finite dimensional distributions of both conditional and unconditional cost functions are shown to be Gaussian in this asymptotic regime, and a closed form expression of the corresponding asymptotic covariance matrices is provided.
Invasive fungal rhinosinusitis in immunocompromised patients.

INTRODUCTION Invasive fungal rhinosinusitis (IFR) is one of the most important causes of morbidity and mortality in immunocompromised patients, principally those with cellular immunodeficiency, with mortality ranging from 50 to 80%. Prophylaxis and early diagnosis increase the chances of successful treatment. STUDY DESIGN Clinical prospective randomized study. AIM To present cases of IFR and to compare them with data reported in the literature. MATERIAL AND METHODS Analysis of eleven cases of IFR confirmed by pathologist examination. RESULTS Aspergillus was found to be the most prevalent pathogen. Symptoms ranged from high fever in most cases to nasal discharge, ulceration of the nasal mucosa, headache and periorbital edema. CONCLUSION The combination of amphotericin B and endoscopic surgery, associated or not with Caldwell-Luc surgery, showed good results. The use of liposomal amphotericin B also presented a satisfactory outcome.
I2C2W: Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition

Leveraging the advances of natural language processing, most recent scene text recognizers adopt an encoder-decoder architecture where text images are ﬁrst converted to representative features and then a sequence of characters via ‘direct decoding’. However, scene text images suffer from rich noises of different sources such as complex background and geometric distortions which often confuse the decoder and lead to incorrect alignment of visual features at noisy decoding time steps. This paper presents I2C2W, a novel scene text recognizer that is accurate and tolerant to various noises in scenes. I2C2W consists of an image-to-character module (I2C) and a character-to-word module (C2W) which are complementary and can be trained end-to-end. I2C detects characters and predicts their relative positions in a word. It strives to detect all possible characters including incorrect and redundant ones based on different alignments of visual features without the restriction of time steps. Taking the detected characters as input, C2W learns from character semantics and their positions to ﬁlter out incorrect and redundant detection and produce the ﬁnal word recognition. Extensive experiments over seven public datasets show that I2C2W achieves superior recognition performances and outperforms the state-of-the-art by large margins on challenging irregular scene text datasets.
Reflecting back, looking forward: the challenges for location-based learning

This final section of the report has been reproduced from “D3.1 The STELLAR Rendez-Vous I report and white papers”, published in 2009 by the STELLAR Network of Excellence. It is included here for completeness; we, as co-authors, felt that it was important to look back at the main contributions to theworkshop and also where the challenges lie for the future. This chapter addresses two critical questions: - What has been learned from this workshop, especially in respect to the STELLAR Grand Challenges (“Connecting learners”, “Orchestration” and “Contextualisation”)? - What are the new research questions and issues for location-based learning, with respect to the Grand Challenges (“Connecting learners”, “Orchestration”and “Contextualisation”)?
Supplementary Document : Multiplexed Illumination for Scene Recovery in the Presence of Global Illumination

This supplementary document includes the following sections. Section1 describes another multiplexed illumination method using a multiplexing scheme similar to that in Lemma 4.1 in the paper. The method also extracts N direct illuminations from2N + 1 images. Section2 shows detailed derivation of the SNR analysis results. Section 3 discusses about the pros and cons of direct/global separation using checkerboard and sinusoid patterns. Please refer to the project website (www.cis.rit.edu/jwgu/research/dem ux) for more direct/global separation results.
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning

We briefly derive the Laplace approximation to the marginal likelihood and discuss the additional correction term that would arise in online estimation. We derive the local Laplace approximation at an arbitrary point θ∗ similar to the standard Laplace approximation by a local quadratic approximation. Recall the Hessian Hθ = −∇θθ log p(D, θ|M) and define the gradient gθ = −∇θ log p(D, θ|M) of the MAP objective in Eq. 6. A second-order Taylor approximation around θ∗ to the log joint distribution is then given by
Machine Learning Phase Transition: An Iterative Methodology

We propose an iterative proposal to estimate critical points for statistical models based on configurations by combing machine-learning tools. Firstly, phase scenarios and preliminary boundaries of phases are obtained by dimensionality-reduction techniques. Besides, this step not only provides labelled samples for the subsequent step but also is necessary for its application to novel statistical models. Secondly, making use of these samples as training set, neural networks are employed to assign labels to those samples between the phase boundaries in an iterative manner. Newly labelled samples would be put in the training set used in subsequent training and the phase boundaries would be updated as well. The average of the phase boundaries is expected to converge to the critical temperature in this proposal. In concrete examples, we implement this proposal to estimate the critical temperatures for two q-state Potts models with continuous and first order phase transitions. Linear and manifold dimensionality-reduction techniques are employed in the first step. Both a convolutional neural network and a bidirectional recurrent neural network with long short-term memory units perform well for two Potts models in the second step. The convergent behaviors of the estimations reflect the types of phase transitions. And the results indicate that our proposal may be used to explore phase transitions for new general statistical models.
Representation and Pattern Matching Techniques for Music Data

In this paper we took an example of a short musical motif from monophonic music and present different ways of its transformation into sequence of symbols. Pitch and duration are the main attributes of the note. We comment, compare and evaluate this transformations and propose our method for musical representation. Using melodic and rhythmic vectors we extract representative melodies, evaluate similarity of motifs and present results.
Semiconductor Laser Complex Dynamics: From Optical Neurons to Optical Rogue Waves

Abstract : The PI has investigated the dynamics of semiconductor lasers with two main goals: i) to advance our understanding of nonlinear andstochastic phenomena and ii) to exploit the laser dynamics for innovative applications. The results of the project were published in 5 highimpactjournal papers and were presented as invited or contributed talks in several international conferences and workshops.
Efficient Sketches for EarthMover Distance , with Applications

We provide the first sub-linear sketching algorithm for estimating the planar Earth-Mover Distance with a constant approximation. For sets living in the two-dimensional grid [∆], we achieve space ∆ for approximation O(1/2), for any desired 0 < 2 < 1. Our sketch has immediate applications to the streaming and nearest neighbor search problems.
Wine Online: Search Costs Affect Competition on Price, Quality, and Distribution

A fundamental dilemma confronts retailers with stand-alone sites on the World Wide Web and those attempting to build electronic malls for delivery via the Internet, online services, or interactive television (Alba et al. 1997). For consumers, the main potential advantage of electronic shopping over other channels is a reduction in search costs for products and product-related information. Retailers, however, fear that such lowering of consumers’ search costs will intensify competition and lower margins by expanding the scope of competition from local to national and international. Some re-tailers’ electronic offerings have been constructed to thwart comparison shopping and to ward off price competition, dimming the appeal of many initial electronic shopping services. Ceteris paribus, if electronic shopping lowers the cost of acquiring price information, it should increase price sensitivity, just as is the case for price advertising. In a similar vein, though, electronic shopping can lower the cost of search for quality information. Most analyses ignore the offsetting potential of the latter effect to lower price sensitivity in the current period. They also ignore the potential of maximally transparent shopping systems to produce welfare gains that give consumers a long-term reason to give repeat business to electronic merchants (cf. Alba et al. 1997, Bakos 1997). We test conditions under which lowered search costs should increase or decrease price sensitivity. We conducted an experiment in which we varied independently three different search costs via electronic shopping: search cost for price information, search cost for quality information within a given store, and search cost for comparing across two competing electronic wine stores. Consumers spent their own money purchasing
Microscopic analysis of the energy, momentum, and spin distributions in a surface plasmon-polariton wave

We analyze the electromagnetic field near a plane interface between a conductive and a dielectric media, under conditions supporting surface plasmon-polariton (SPP) propagation. The conductive medium is described by the hydrodynamic electron-gas model that enables a consistent analysis of the field-induced variations of the electron density and velocity at the interface and its nearest vicinity. The distributions of electromagnetic dynamical characteristics: energy, energy flow, spin and momentum are calculated analytically and illustrated numerically, employing silver-vacuum interface as an example. A set of the"field"and material contributions to the energy, spin and momentum are explicitly identified and classified with respect to their physical origins and properties, and the orbital (canonical) and spin (Belinfante) momentum constituents are separately examined. In this context, a procedure for the spin-orbital momentum decomposition in the presence of free charges is proposed and substantiated. The microscopic results agree with the known phenomenological data but additionally show specific nanoscale structures in the near-interface behavior of the SPP energy and momentum, which can be deliberately created, controlled and used in nanotechnology applications.
Hamiltonian cycles in certain graphs and out-arc pancyclic vertices in tournaments

Diese Dissertation ist auf den Internetseiten der Hochschulbibliothek online verfügbar. Preface Graph theory is a delightful research area in discrete mathematics, and its results have many applications in computer science, social and natural science. The Hamiltonian problem is concerned with conditions under which a graph contains a spanning cycle. Named after Sir William Rowan Hamilton, this problem traces its origins to the 1850s. Although this problem is NP-complete, in the last 100 years many sufficient conditions for a graph to be Hamiltonian have been found and many related topics have also been discussed, for example, pancyclicity, proper colored Hamiltonian paths or cycles, etc. In the first part of this thesis, we introduce new sufficient conditions for a graph to be Hamiltonian and some other results on related topics. Chapter 1 will be devoted to an introduction of the terminology and some well-known results about Hamiltonian graphs. Generally speaking, there are two important types of sufficiency conditions with respect to the cyclic properties of graphs. The first is based on the so-called numerical conditions, of which probably degree conditions are the most well-known; structural conditions form the second important type. A typical example of the latter is forbidden subgraph conditions. In Chapter 2, we give some new sufficient conditions for a graph to be Hamiltonian by combining those two types. Let G = (V, E) be a connected graph. The distance between two vertices x and y in G, denoted by d G (x, y), is the length of a shortest path between x and y. A graph G is called almost distance-hereditary if each connected induced subgraph H of G has the property that d H (u, v) ≤ d G (u, v) + 1 for every pair of vertices u and v in H. In Section 2.1, we prove that every 2-connected, 2-heavy and almost distance-hereditary graph is Hamiltonian, where a graph G is 2-heavy if the degrees of at least two end vertices of each claw in G are greater than or equal to |V (G)| 2. In Section 2.2, we assume that G is a connected claw-free graph satisfying the following condition: For every maximal induced path P of length p ≥ 2 with end vertices u and v holds d(u) + d(v) ≥ |V (G)| − p + 2. Under this assumption, we prove that G has a 2-dominating induced cycle, and then G is Hamiltonian. …
New Efficient and Fast Method to Compute the Weights Enumerators of Some Large Doubly Even Self Dual Quadratic Residue Codes

Quadratic Residue codes are among the best codes. They have high capacity of error correction but they are very difficult to enumerate and therefore to analyse. Despite all developed methods in this domain, the weights enumerators of Quadratic Residue codes are known only for lengths less than or equal to 167. For the lengths 191 and 199 only estimations are available. In this paper, we present a new method based on the Multiple Impulse Method (MIM) and hash techniques to find the weights enumerators of Quadratic Residue codes having lengths in the form 8m-1, for an integer m. The proposed method Hash_MIM_Weights_Enumerators is validated on all Quadratic Residue codes of known weights enumerators; its reduced spatial and temporal complexities yields to new important results. So, the weights enumerators for the lengths 191, 199 and 223 are determined. These three codes are the best binary linear block codes in terms of minimum distance known until today and their analytical performances are remained unknowns in more than 60 years ago and they are available now.
Novel small molecule EGFR inhibitors as candidate drugs in non-small cell lung cancer

: In the last decade, better understanding of the role of epidermal growth factor receptor in the pathogenesis and progression of non-small cell lung cancer has led to a revolution in the work-up of these neoplasms. Tyrosine kinase inhibitors, such as erlotinib and gefitinib, have been approved for the treatment of non-small cell lung cancer, demonstrating an improvement in progression-free and overall survival, particularly in patients harboring activating EGFR mutations. Nevertheless, despite initial responses and long-lasting remissions, resistance to tyrosine kinase inhibitors invariably develops, most commonly due to the emergence of secondary T790M mutations or to the amplification of mesenchymal–epithelial transition factor (c-Met), which inevitably leads to treatment failure. Several clinical studies are ongoing (http://www. clinicaltrials.gov), aimed to evaluate the efficacy and toxicity of combined approaches and to develop novel irreversible or multitargeted tyrosine kinase inhibitors and mutant-selective inhibitors to overcome such resistance. This review is an overview of ongoing Phase I, II, and III trials of novel small molecule epidermal growth factor receptor inhibitors and combinations in non-small cell lung cancer patients.