Miracle-dz/UniFAR-FTUs huggingface dataset:
Author ' s personal copy Numerical continuation methods for studying periodic travelling wave ( wavetrain ) solutions of partial differential equations

Periodic travelling waves (wavetrains) are an important solution type for many partial differential equations. In this paper I review the use of numerical continuation for studying these solutions. I discuss the calculation of the form and stability of a given periodic travelling wave, and the calculation of boundaries in a two-dimensional parameter plane for wave existence and stability. I also describe the automated implementation of these numerical continuation procedures via the software package WAVETRAIN (http://www.ma. hw.ac.uk/wavetrain). I conclude by discussing ongoing work on numerical continuation methods for determining the absolute stability of periodic travelling waves. 2011 Elsevier Inc. All rights reserved.
Accelerating Diffusions 1

Let U be a given function defined on R d and π(x) be a density function proportional to exp −U (x). The following diffusion X(t) is often used to sample from π(x), dX(t) = −∇U (X(t)) dt + √ 2 dW (t), X(0) = x0. To accelerate the convergence, a family of diffusions with π(x) as their common equilibrium is considered, dX(t) = (−∇U (X(t)) + C(X(t))) dt + √ 2 dW (t), X(0) = x0. Let LC be the corresponding infinitesimal generator. The spectral gap of LC in L 2 (π) (λ(C)), and the convergence exponent of X(t) to π in variational norm (ρ(C)), are used to describe the convergence rate, where λ(C) = Sup{real part of µ : µ is in the spectrum of LC , µ is not zero}, ρ(C) = Inf ρ : |p(t, x, y) − π(y)| dy ≤ g(x)e ρt. Roughly speaking, LC is a perturbation of the self-adjoint L0 by an antisymmetric operator C · ∇, where C is weighted divergence free. We prove that λ(C) ≤ λ(0) and equality holds only in some rare situations. Furthermore, ρ(C) ≤ λ(C) and equality holds for C = 0. In other words, adding an extra drift, C(x), accelerates convergence. Related problems are also discussed. 1. Introduction. In this paper we prove that by simply adding a weighted divergence-free drift to a reversible diffusion, the convergence to equilibrium is accelerated. In other words, from an algorithmic point of view, the non-reversible algorithm performs better. The analysis is related to the study of antisymmetric perturbations of self-adjoint infinitesimal generators.
Unsupervised Modeling of Users' Interests from their Facebook Profiles and Activities

User interest profiles have become essential for personalizing information streams and services, and user interfaces and experiences. In today's world, social networks such as Facebook or Twitter provide users with a powerful platform for interest expression and can, thus, act as a rich content source for automated user interest modeling. This, however, poses significant challenges because the user generated content on them consists of free unstructured text. In addition, users may not explicitly post or tweet about everything that interests them. Moreover, their interests evolve over time. In this paper, we propose a novel unsupervised algorithm and system that addresses these challenges. It models a broad range of an individual user's explicit and implicit interests from her social network profile and activities without any user input. We perform extensive evaluation of our system, and algorithm, with a dataset consisting of 488 active Facebook users' profiles and demonstrate that it can accurately estimate a user's interests in practice.
Impact of thermal cycling on high voltage coils used in marine generators using FEA methods

Premature failures of stator insulation account for a large percentage of repairs of marine generator systems. The failure mechanisms of such faults have been presented in many parts of the literature. Partial discharge activity, thermal degradation, thermal cycling, harmonics and transients are some examples of such failure mechanisms. Whilst there has been an insight into the failure mechanisms, there is still no definite answer to how these defects manifest in the first place. Most of the failures that have been identified within literature are on end windings, especially slot ends. Some failure mechanisms have also been linked with thermal cycling. Frequent and rigorous stop/start cycles stress coils by inducing mechanical forces between elements of the coil and housing owing to differential thermal expansion. This differential expansion is dependent on the rate of rise of temperature and also the different coefficients of thermal expansion of the materials. The present paper will evaluate the thermal degradation of insulation systems used on marine generators using Finite Element Analysis (FEA) methods. On board temperature measurements of stator coils during a high speed run are used as one of the parameters within the FEA simulations, to investigate if there is any risk of differential thermal expansions during such an operational cycle. Different ramp rates are also analyzed within the FEA simulations to understand the effect of uneven thermal expansions and the risk of material degradation of the insulation in coils on marine systems. A brief review of the standards available for thermal cycling and testing are also presented within the paper.
A Novel Algorithm for Building Concept Lattice

Concept lattice is a method for data analysis in order to describe a natural attributes of information representation in hierarchical structure model. The key success for knowledge representation with concept lattice is the algorithm to generate the set of all formal concepts and then their construction. Thus, this paper improves and focuses on building concept lattice with providing theoretical FCA from presenting algorithm. The complexity of proposed algorithm for building the set of formal concepts is quadratic function. In addition, the complexity of algorithm for building concept lattice is O(|F | + |m 2 ∗ p|). The result shows that our proposed is better than mostly works by using time complexity analysis.
Molecular Cell Previews Reversal of Fortune : Rad 5 to the Rescue

show that the association of SRp38 with 14-3-3 proteins, a family of highly conserved phospho-serine/threonine binding proteins, protects SRp38 from dephosphorylation under nonstressconditions. Importantly, thiscomplex dissociates upon heat shock. As with every new exciting finding, some important issues are still left to be addressed. One intriguing question remaining is whether the mechanism underlying splicing arrest during mitosis is similar to that described for heat shock. Furthermore, SRp38 protein expression is nearly absent in some tissues (e.g., heart, kidney, and liver [Shin and Manley, 2002]) raising the question of how these cell types regulate mRNA splicing in response to heat shock. The most remarkable finding of the work from Shi and Manley (2007) is that the specificity of SRp38 dephosphorylation following heat shock is mainly due to the differential activity of SR protein kinases on different SR proteins. This work has now established a complex pathway that controls SRp38 phosphorylation status and regulates its activity with high specificity in response to heat shock.
Analysis of Gene Expression

DNA microarray technology is a new and powerful tool for studying a genome-wide gene expression in many organisms. This technology is a high throughput, highly parallel RNA expression assay technique that permits quantitative analysis of RNAs transcribed from both known and unknown genes. This review describes array manufacturing, experimental design, and its application to gene discovery and expression. Microarray technology is rapidly becoming a central platform for functional genomics.
A DOMAIN AND PLATFORM INDEPENDENT ARCHITECTURE FOR PRESENTATION OF AFFECTIVE BEHAVIORS OF ANIMATED PEDAGOGICAL AGENTS

Resumo: This article presents the architecture and the implementation of a module responsible for the presentation of verbal (speech) and corporal (animation) behaviors of animated pedagogical agents. This module is independent of domain and application, being able to be inserted in any learning environment apart of its application domain, and independent of platform, making possible that it can be executed in different operational systems. It was implemented as a reactive agent in Java (what makes it independent of platform), called Body agent, that communicates with the agent’s mind using the agents communication language FIPA-ACL. This last capacity of the agent allows it to be inserted in other intelligent learning environments, if they are also able to communicate in FIPA-ACL. Abstract: This article presents the architecture and the implementation of a module responsible for the presentation of verbal (speech) and corporal (animation) behaviors of animated pedagogical agents. This module is independent of domain and application, being able to be inserted in any learning environment apart of its application domain, and independent of platform, making possible that it can be executed in different operational systems. It was implemented as a reactive agent in Java (what makes it independent of platform), called Body agent, that communicates with the agent’s mind using the agents communication language FIPA-ACL. This last capacity of the agent allows it to be inserted in other intelligent learning environments, if they are also able to communicate in FIPA-ACL.
I Know What You Did Last Summer: Risks of Location Data Leakage in Mobile and Social Computing. I Know What You Did Last Summer: Risks of Location Data Leakage in Mobile and Social Computing

Advances in mobile and web technologies have brought unwanted access to often sensitive data, ranging from our personal details, where we work, where we live and even behavioral patterns. The increasing use of social networks and location-aware mobile applications raise a number of concerns, including the issue of ensuring users " privacy. In order to explore those concerns we conducted an exploratory study in re-identifying people based on their movements and publicly available information. We observed anonymous users of a location-based social networking application in their natural environment and demonstrated how to re-identify them based on that data. In addition to discovering location-based private data, we were also able to find quite a number of facts from their private lives. This article reports on the methodology we used, ethical issues related to informed consent and user " s reaction to the fact of being re-identified.
Introduction to Supersymmetry

These are expanded notes of lectures given at the summer school "Gif 2000" in Paris. They constitute the first part of an "Introduction to supersymmetry and supergravity" with the second part on supergravity by J.-P. Derendinger to appear soon. The present introduction is elementary and pragmatic. I discuss: spinors and the Poincar\'e group, the susy algebra and susy multiplets, superfields and susy lagrangians, susy gauge theories, spontaneously broken susy, the non-linear sigma model, N=2 susy gauge theories, and finally Seiberg-Witten duality.
Essential Tremor: A Neurodegenerative Disease?

Background Essential tremor (ET) is one of the most common neurological disorders among adults, and is the most common of the many tremor disorders. It has classically been viewed as a benign monosymptomatic condition, yet over the past decade, a growing body of evidence indicates that ET is a progressive condition that is clinically heterogeneous, as it may be associated with a spectrum of clinical features, with both motor and non-motor elements. In this review, I will describe the most significant emerging milestones in research which, when taken together, suggest that ET is a neurodegenerative condition. Methods A PubMed search conducted in June 2014 crossing the terms “essential tremor” (ET) and “neurodegenerative” yielded 122 entries, 20 of which included the term “neurodegenerative” in the article title. This was supplemented by articles in the author's files that pertained to this topic. Results/Discussion There is an open and active dialogue in the medical community as to whether ET is a neurodegenerative disease, with considerable evidence in favor of this. Specifically, ET is a progressive disorder of aging associated with neuronal loss (reduction in Purkinje cells) as well as other post-mortem changes that occur in traditional neurodegenerative disorders. Along with this, advanced neuroimaging techniques are now demonstrating distinct structural changes, several of which are consistent with neuronal loss, in patients with ET. However, further longitudinal clinical and neuroimaging longitudinal studies to assess progression are required.
LEADERSHIP AND WELL-BEING IN THE ALGARVE HOSPITALITY

The well-being of staff within organisations is particularly important in relation to human resources and management. Organisations need to develop behaviours that increase well-being amongst employees. The study in progress aims to explain well-being-promoting leadership demonstrating the differences between leaders that promote well-being and leaders that do not, as well as to explain well-being in the five-star hospitality as a product of the actions of leaders. A qualitative methodology has been employed in order to elaborate a questionnaire (well-being promoting leadership scale – ELPB) that is proofed against the common problem organisations face when people's actions do not match their words. A pilot study was carried out in two Algarve hotels in May, 2010. The aim was to test the methodology by applying the ELPB scale in real-case scenarios, as well as undertaking interviews with employees and managers. The pilot study permitted analysis of the staff's perception of a well-being-promoting leader, therefore resulting in two dimensions that allow for a differentiation of the staff's perception of leaders.
Safety by a Sensor-Based Timely Perception: An Interdisciplinary Approach for Walking Robots

Introduction It is a difficult task for walking robots in unknown environments to maintain a safe system behaviour, in particular for walking robots with less than 6 legs on ground with different soil properties. To encounter the drawbacks [ID,KO] of mechanical approaches maintaining the problem of postural control, we propose a new biomechanical approach. The approach addresses difficult problems like breakthrough (fig.1) or sagging and supports walking by an intelligent way of control. Therefore interdisciplinary investigations in soil physics [HA], motion behaviour of vertebrates [SGS], and acoustics[SF] elucidate the area of interest. The following approach is based on these investigations and gives a better understanding of motion control. One step to control the interface between body and surface can be achieved by analysing characteristic data at specific events while acting on ground.
Dual Assessment of Data Quality in Customer Databases

Quantitative assessment of data quality is critical for identifying the presence of data defects and the extent of the damage due to these defects. Quantitative assessment can help define realistic quality improvement targets, track progress, evaluate the impacts of different solutions, and prioritize improvement efforts accordingly. This study describes a methodology for quantitatively assessing both impartial and contextual data quality in large datasets. Impartial assessment measures the extent to which a dataset is defective, independent of the context in which that dataset is used. Contextual assessment, as defined in this study, measures the extent to which the presence of defects reduces a dataset’s utility, the benefits gained by using that dataset in a specific context. The dual assessment methodology is demonstrated in the context of Customer Relationship Management (CRM), using large data samples from real-world datasets. The results from comparing the two assessments offer important insights for directing quality maintenance efforts and prioritizing quality improvement solutions for this dataset. The study describes the steps and the computation involved in the dual-assessment methodology and discusses the implications for applying the methodology in other business contexts and data environments.
Utilizing Intrabolus Pressure and Esophagogastric Junction Pressure to Predict Transit in Patients With Dysphagia

Background/Aims High-resolution manometry (HRM), with a greatly increased number of recording sites and decreased spacing between sites, allows evaluation of the dynamic simultaneous relationship between intrabolus pressure (IBP) and esophagogastric junction (EGJ) relaxation pressure. We hypothesized that bolus transit may occur when IBP overcomes integrated relaxation pressure (IRP) and analyzed the relationships between peristalsis pattern and the discrepancy between IBP and IRP in patients with dysphagia. Methods Twenty-two dysphagia patients with normal EGJ relaxation were examined with a 36-channel HRM assembly. Each of the 10 examinations was performed with 20 and 30 mmHg pressure topography isobaric contours, and findings were categorized based on the Chicago classification. We analyzed the relationships between peristalsis pattern and the discrepancy between IBP and IRP. Results Twenty-two patients were classified by the Chicago classification: 1 patient with normal EGJ relaxation and normal peristalsis, 8 patients with intermittent hypotensive peristalsis and 13 patients with frequent hypotensive peristalsis. A total of 220 individual swallows were analyzed. There were no statistically significant relationships between peristalsis pattern and the discrepancy between IBP and IRP on the 20 or 30 mmHg isobaric contours. Conclusions Peristalsis pattern was not associated with bolus transit in patients with dysphagia. However, further controlled studies are needed to evaluate the relationship between bolus transit and peristalsis pattern using HRM with impedance.
Active Information Gathering in InfoSleuth

InfoSleuth is an agent-based system that can be configured to perform many different information management activities in a distributed environment. InfoSleuth agents provide a number of complex query services that require resolving ontology-based queries over dynamically changing, distributed, heterogeneous resources. These include distributed query processing, locationindependent single-resource updates, event and information monitoring, statistical or inferential data analysis, and trend discovery in complex event streams. It has been used in numerous applications, including the Environmental Data Exchange Network and the Competitive Intelligence System. < "= > ! @? : Multi-agent systems, agent-based systems, information agents, heterogeneous data, query processing, information subscription.
Analogical Estimation

Analogy lets us make inferences from a better known example on to a less known one. Analogical estimation is a specific kind of analogical inference, namely, inferring the quantitative value of an unknown based on a known value from a similar example. We present Analogical Estimator, a computational model of analogical estimation. A key claim of this work is that we don’t need a separate mechanism to capture the role of quantitative values in similarity. We need better representations, specifically, symbolic representations of quantity that capture the essential qualitative distinctions
Production policies under deteriorating process conditions

This paper examines a single-stage production system that manufactures multiple products under deteriorating equipment conditions. The machine condition worsens with production, and improves with maintenance. The condition of the process can be in any one of several discrete states, and transitions from state to state follow a semi-Markov process. In many production environments, the quality or yield of output depends heavily on the condition of the production process. The problem considers the trade-offs between manufacturing products that have a higher profit, a longer processing time, and therefore, a higher deterioration probability versus products that have a smaller profit, shorter processing time with a lower process deterioration probability. The firm needs to determine the optimal production choice in each state in a way that maximizes the long-run expected average reward per unit time. The paper makes three sets of contributions. First, it introduces the concept of critical ratios for the firm's manufacturing decision at each state regarding whether to switch from one product to another. Second, through the use of critical ratios, the main result shows that the optimal production choice for each state can be determined independently of the actions taken in other states, despite the complex interconnections between the production decisions and state transitions. Third, the paper provides generalizations that illustrate the depth, scope and richness of the proposed solution technique by extending the model in the number of machine states, to settings where maintenance is performed in intermediate states, and to settings where transition probabilities are influenced by both mean and variance of processing times.
Corpus-based Learning of Lexical Resources for German Named Entity Recognition

This paper explores the use of unlabeled data in a knowledge-poor approach to German NER. German is especially interesting for NER since not only names but all nouns are capitalized. Therefore, large and reliable lexical resources are necessary to develop and adapt systems for NER. Motivated by a model of word form observance, distinguishing three levels of different granularity, a method for the automatic creation of domain-sensitive lexical resources for NER is proposed. The approach uses linear SVMs and is based solely on an annotated corpus of reasonable size and a large amount of unlabeled data.
Methodology and convergence rates for functional linear regression

In functional linear regression, the slope "parameter" is a function. Therefore, in a nonparametric context, it is determined by an infinite number of unknowns. Its estimation involves solving an ill-posed problem and has points of contact with a range of methodologies, including statistical smoothing and deconvolution. The standard approach to estimating the slope function is based explicitly on functional principal components analysis and, consequently, on spectral decomposition in terms of eigenvalues and eigen-functions. We discuss this approach in detail and show that in certain circumstances, optimal convergence rates are achieved by the PCA technique. An alternative approach based on quadratic regularisation is suggested and shown to have advantages from some points of view.
Aggregation and arithmetic operations on fuzzy natural number-valued multisets

In this paper we propose the extension of some aggregation or arithmetic operations between discrete fuzzy numbers to discrete fuzzy number-valued multisets such as the addition, the union and the intersection and, even, the order. For this reason, we prove or recall some properties of discrete fuzzy numbers and we undertake their study on multisets.
Islamic knowledge ontology creation

Ontology is one of the essential topics in the scope of an important area of current computer science and Semantic Web. Ontologies present well defined, straightforward and standardized form of the repositories (vast and reliable knowledge) where it can be interoperable and machine understandable. There are many possible utilization of ontologies from automatic annotation of web resources to domain representation and reasoning task. Ontology is an effective conceptualism used for the semantic web. However there is none of the research try to construct an ontology from Islamic knowledge which consist of Holy Quran, Hadiths and etc. Therefore as a first stage, in this paper we try to propose a simple methodology in order to extract a concept based on Al-Quran. Finally, we discuss about the experiment that have been conducted.