Miracle-dz/UniFAR-FTUs huggingface dataset:
Scaling symbolic execution using ranged analysis

This paper introduces a novel approach to scale symbolic execution --- a program analysis technique for systematic exploration of bounded execution paths---for test input generation. While the foundations of symbolic execution were developed over three decades ago, recent years have seen a real resurgence of the technique, specifically for systematic bug finding. However, scaling symbolic execution remains a primary technical challenge due to the inherent complexity of the path-based exploration that lies at core of the technique. Our key insight is that the state of the analysis can be represented highly compactly: a test input is all that is needed to effectively encode the state of a symbolic execution run. We present ranged symbolic execution, which embodies this insight and uses two test inputs to define a range, i.e., the beginning and end, for a symbolic execution run. As an application of our approach, we show how it enables scalability by distributing the path exploration---both in a sequential setting with a single worker node and in a parallel setting with multiple workers. As an enabling technology, we leverage the open-source, state-of-the-art symbolic execution tool KLEE. Experimental results using 71 programs chosen from the widely deployed GNU Coreutils set of Unix utilities show that our approach provides a significant speedup over KLEE. For example, using 10 worker cores, we achieve an average speed-up of 6.6X for the 71 programs.
RichVSM: enRiched vector space models for folksonomies

People share millions of resources (photos, bookmarks, videos, etc.) in Folksonomies (like Flickr, Delicious, Youtube, etc.). To access and share resources, they add keywords called tags to the resources. As the tags are freely chosen keywords, it might not be possible for users to tag their resources with all the relevant tags. As a result, many resources lack sufficient number of relevant tags. The lack of relevant tags results into sparseness of data, and this sparseness of data makes many relevant resources unsearchable against user queries. In this paper, we explore two dimensions of semantic relationships between tags, based on the context and the distribution of tags. We exploit semantic relationships between tags to reduce sparseness in Folksonomies and propose different enriched vector space models. We also propose a vector space model Best of Breed which utilizes appropriate enrichment method based on the type of the query. We evaluate the proposed methods on a large dataset of 27 million resources, 92 thousand tags and 94 million tag assignments. Experimental results show that the enriched vector space models help in improving search, especially for the rare queries which have few relevant resources in the sparse data.
Rôle du jeûne et de la perturbation de la cascade de signalisation de l'insuline sur le clivage du précurseur de la protéine amyloïde (APP)

iii Table des matières . v Liste des tableaux . x Liste des figures . xi Liste des abréviations . xiv Remerciements . xix Chapitre 1 : Introduction . 1 Maladie d’Alzheimer . 2 Prévalence . 2 Étiologie . 2 Progression de la maladie . 3 La mémoire . 4 Maladie d’Alzheimer familiale et sporadique . 5 APP (précurseur de la protéine amyloïde) et la cascade amyloïde, cause potentielle de la maladie d’Alzheimer ? 10 Le précurseur de la protéine amyloïde (APP) . 10 Clivage non amyloïdogénique par l’alpha-secrétase . 12 Clivage amyloïdogénique par la bêta-secrétase . 12 La gamma-secrétase participe aux deux types de clivage . 14 Autres clivages de l’APP (précurseur de la protéine amyloïde) . 15 Fonctions des produits de clivage . 16 Fonctions du domaine intracellulaire de l’APP (APP intracellular domain – « AICD ») . 17 L’Aβ (bêta-amyloïde) et son agrégation en plaque amyloïde . 19 Souris transgéniques modèles de la maladie d’Alzheimer . 21
Fibromuscular dysplasia: state of the science and critical unanswered questions: a scientific statement from the American Heart Association.

Fibromuscular dysplasia (FMD) is nonatherosclerotic, noninflammatory vascular disease that may result in arterial stenosis, occlusion, aneurysm, or dissection.1–3 The cause of FMD and its prevalence in the general population are not known.4 FMD has been reported in virtually every arterial bed but most commonly affects the renal and extracranial carotid and vertebral arteries (in ≈65% of cases). 5 The clinical manifestations of FMD are determined primarily by the vessels that are involved. When the renal artery is involved, the most frequent finding is hypertension, whereas carotid or vertebral artery FMD may lead to dizziness, pulsatile tinnitus, transient ischemic attack (TIA), or stroke. There is an average delay from the time of the first symptom or sign to diagnosis of FMD of 4 to 9 years.5,6 This is likely because of a multitude of factors: the perception that this is a rare disease and thus FMD is not considered in the differential diagnosis, the reality that FMD is poorly understood by many healthcare providers, and the fact that many of the signs and symptoms of FMD are nonspecific, thus leading the clinician down the wrong diagnostic pathway. A delay in diagnosis can lead to impaired quality of life and poor outcomes such as poorly controlled hypertension and its sequelae, TIA, stroke, dissection, or aneurysm rupture. It should also be noted that FMD may be discovered incidentally while imaging is performed for other reasons or when a bruit is heard in the neck or abdomen in an asymptomatic patient without the classic risk factors for atherosclerosis. The first description of FMD is attributed to Leadbetter and Burkland7 in a 5½-year-old boy with severe hypertension and a renal artery partially occluded by an intra-arterial mass of smooth muscle. He underwent a unilateral nephrectomy of an …
"I'm just on my phone and they're watching TV": Quantifying mobile device use while watching television

In recent years, mobile devices have become a part of our daily lives--much like television sets had over the second half of the 20th century. Increasingly, people are using mobile devices while watching television. We set out to understand this behavior on a minute-by-minute quantified level as well as users' motivations and purposes of device use while watching television. We conducted a novel mixed-methods study inside seven households with fourteen instrumented phone and tablet devices, capturing all app launches and app use durations, correlated with the moment in the television program when they occurred. Surprisingly, we found little difference between the volume of device use during programs and commercials. Our two main findings are that 1) participants often joined family members in the TV room to physically be together; when they lack interest in the program, they spend the majority of the show on a secondary device and watch TV only during key moments. 2) Virtually none of participants' app and web use during TV consumption was directly related to the running show. With our study, we set the stage for larger-scale investigations into the details of mobile interactions while watching television. Our novel method will aid future work of the community as a means of fully understanding multi-device use alongside television consumption.
A Tool for Tuning Binarization Techniques

In this paper a user friendly tool appropriate to get user feedback for the application of binarization algorithms is presented. The human feedback is very useful in order to apply next the algorithm to similar images. The tool supports Image Selection and Display, Selection of Binarization Algorithm and Parameter Configuration, Feedback gathering and Creation of log file for further processing.
Reality mining via process mining

Reality mining project work on Ubiquitous Mobile Systems (UMSs) that allow for automated capturing of events. Reality Mining demonstrates the power of collecting not only communication information but also location and proximity data from mobile phones over an extended period. On the other hand Process mining aims at extracting information from event logs to capture the process as it is being executed. Process mining also supports analysis of the performance of processes including Qualitative and Quantitative analysis for captured process model. This paper introduces process mining to modeling and analyzing reality mining dataset.
Formalisering van informalisering. Veranderingen in omgangsvormen, vooral tussen de sexen in Nederland, 1930-1985

Formalization of Informalization. This article is concerned with changes in the relationship between the sexes, based upon a comparative analysis of the etiquette books published in the Netherlands from 1930 to 1985. In this period there was a gap of approximately thirteen years (1966-1979) during which - with one exception - all publishing and reprinting activity on this subject ceased. During this gap in the tradition of etiquette books there was an upsurge in the publication of books on liberation and self-realization, coupled with a relative loosening of the behavioural codes and ideals. In recent years (since the eighties) there appears to be a tightening of these codes and ideals, in general as well as in the relationship between the sexes. These changes are presented as developments in the sense of informalization and formalization, aspects of civilizing processes. The article commences with a short explanation of the concept of informalization, proceeds with the presentation of the results of the comparative analysis of these publications, an d concludes that nowadays a (re)-formalization of the preceeding informalization is taking place, a stage in the long-term process of informalization.
The relationship between cultural sentiments about gender and occupations and the gender composition of occupations

Building on prior theories of gender segregation in the labor market, this thesis investigates the mutually reinforcing forces of gender segregation at the macro-level – specifically, cultural beliefs about gender and occupational identities and structural arrangement of employment. I hypothesized that changes in gender distributions within occupations would be predicted by the distance in cultural meanings between gender and occupational identities and that those distributional changes would, in turn result in future changes in cultural meanings about gender and/or occupations. My data were only sufficient to test the first part of that argument and did not support the hypotheses. The (dis)consonance between gender identity and occupational identities meaning does not predict changes in the gender distributions within occupations over time, even after controlling for the main effects of the identities meanings. With new wave of data collected underway, studies can test the hypothesized reciprocal relationship in the future. INDEX WORDS: gender segregation, affective meaning, reciprocal relationship THE RELATIONSHIP BETWEEN CULTURAL SENTIMENTS ABOUT GENDER AND OCCUPATIONS AND THE GENDER COMPOSITION OF OCCUPATIONS
International Journal "information Theories & Applications" Vol.13 Infrawebs Semantic Web Service Development on the Base of Knowledge Management Layer

The paper gives an overview about the ongoing FP6-IST INFRAWEBS project and describes the main layers and software components embedded in an application oriented realisation framework. An important part of INFRAWEBS is a Semantic Web Unit (SWU) – a collaboration platform and interoperable middleware for ontology-based handling and maintaining of SWS. The framework provides knowledge about a specific domain and relies on ontologies to structure and exchange this knowledge to semantic service development modules. INFRAWEBS Designer and Composer are sub-modules of SWU responsible for creating Semantic Web Services using Case-Based Reasoning approach. The Service Access Middleware (SAM) is responsible for building up the communication channels between users and various other modules. It serves as a generic middleware for deployment of Semantic Web Services. This software toolset provides a development framework for creating and maintaining the full-life-cycle of Semantic Web Services with specific application support.
Ortholumen: Using Light for Direct Tabletop Input

Ortholumen is a light pen based tabletop interaction system that can employ all the pen's spatial degrees of freedom (DOF). The pen's light is projected from above onto a horizontal translucent screen and tracked by a Webcam sitting underneath, facing upwards; system output is projected back onto the same screen. The elliptic light spot cast by the pen informs the system of pen position, orientation, and direction. While this adds up to six DOFs, we have used up to four at a time. In order to better separate input and output light we employ polarizing filters on the Webcam and on the projector lens. Two applications, painting and map navigation, are presented. Ortholumen can be expanded to track multiple pens of the same or different colors. This would enable bi-manual input, collaboration, and placed pens as external memory. Visible light, as opposed to infrared or radio, may be perceived more directly by users. Ortholumen employs only low-cost parts, making the system affordable to home users.
Design of RF power delivery system for wireless BCI devices

RF power delivery (RFPD) system is based on transmission of high power radio frequency waves. This is an emerging, far field Wireless Power Transfer (WPT) method, that has many advantages over other WPT methods like Induction and Microwave based, because of its safety, lack of interference and high efficiency at medium distance ranges. In this paper, we analyze the design of wireless RF power delivery system that enables wireless brain computer interface (BCI) devices to be powered directly without need for large batteries which in addition to adding their weight, will need frequent replacements and recharging. We especially address the difficulties of implementing and outfitting this RFPD system on the wireless BCI devices, which have midrange power, distance requirements. This RFPD system will extend the effectiveness of BCI system, by bringing the most needed freedom of movement with uninterrupted power, and reduction in size, weight due to the battery elimination. This can provide power to multiple BCI devices simultaneously, and can also be made to recharge batteries of wireless sensors that are inaccessible to the electric grid. The performance of this RFPD system is simulated and analyzed with the Agilent's ADS.
A Patterns Based Reverse Engineering Approach for Java Source Code

The ever increasing number of platforms and languages available to software developers means that the software industry is reaching high levels of complexity. Model Driven Architecture (MDA) presents a solution to the problem of improving software development processes in this changing and complex environment. MDA driven development is based on models definition and transformation. Design patterns provide a means to reuse proven solutions during development. Identifying design patterns in the models of a MDA approach helps their understanding, but also the identification of good practices during analysis. However, when analyzing or maintaining code that has not been developed according to MDA principles, or that has been changed independently from the models, the need arises to reverse engineer the models from the code prior to patterns' identification. The approach presented herein consists in transforming source code into models, and infer design patterns from these models. Erich Gamma's cataloged patterns provide us a starting point for the pattern inference process. MapIt, the tool which implements these functionalities is described.
Design Patterns and Design Principles for Internal Domain-Specific Languages

Internal DSLs are a special kind of DSLs that use an existing programming language as their host. To build them successfully, knowledge regarding how to modify the host language is essential. In this chapter, the author contributes six DSL design principles and 21 DSL design patterns. DSL Design principles provide guidelines that identify specific design goals to shape the syntax and semantic of a DSL. DSL design patterns express proven knowledge about recurring DSL design challenges, their solution, and their connection to each other – forming a rich vocabulary that developers can use to explain a DSL design and share their knowledge. The chapter presents design patterns grouped into foundation patterns (which provide the skeleton of the DSL consisting of objects and methods), notation patterns (which address syntactic variations of host language expressions), and abstraction patterns (which provide the domain-specific abstractions as extensions or even modifications of the host language semantics). DOI: 10.4018/978-1-4666-2092-6.ch007
Personalizing an Implicit Measure of Job Satisfaction

Personalizing An Implicit Measure of Job Satisfaction by Brittany Boyd Advisor: Dr. Charles Scherbaum Implicit attitude measures have become increasingly popular over the last two decades due to their ability to circumvent a number of the limitations of explicit measures and predictive validity evidence for certain behaviors that is superior to explicit measures. However, a number of improvements have been suggested, including personalizing the implicit measure to better capture the participant’s attitude, not their general evaluation of constructs involved. This paper examined implicit job satisfaction with a modified version of a pre-established measure (IAT; Boyd, 2010), proposed a new personalized measure (P-IAT), and examined the relationships of these measures with organizationally-relevant attitudes and behaviors, within a sample of customer service employees. The IAT was found to significantly correlate with the P-IAT, explicit job satisfaction, job involvement, and counterproductive work behaviors. Correlations between the IAT and both organizational citizenship behaviors and counterproductive work behaviors were enhanced when the respondent was asked to provide ratings from someone else’s perspective, instead of their own. This modification attempted to examine a more psychologically distant construct, for which implicit measures should be more strongly related than explicit. The P-IAT was only significantly related to the IAT and voluntary absence. The relationship between the IAT and explicit job satisfaction was moderated by time-related metrics (years of work experience, months in current role, and age). There was a positive correlation between the IAT and explicit job satisfaction amongst participants with lower time metrics, but Running head: PERSONALIZING IMPLICIT JOB SATISFACTION . v amongst participants with higher time metrics, there was no relationship. Running head: PERSONALIZING IMPLICIT JOB SATISFACTION . vi
Focus group discussions.

This chapter provides an overview of focus group discussions as a research method. Using illustrative examples, the chapter discusses the appropriateness of the technique for accounting research. The chapter then highlights both the strengths and drawbacks of the technique and provides guidance on how to mitigate the drawbacks. The chapter concludes with advice on the practical considerations for running focus group discussions and articulates the unique data analysis considerations of the technique.
Quantum cosmology from superstrings

We consider classical superstring theories on flat four dimensional space-times, and where N = 4 or N = 2 supersymmetry is spontaneously broken. We obtain the thermal and quantum corrections at the string one-loop level and show that the back-reaction on the space-time metric induces a cosmological evolution. We concentrate on heterotic string models obtained by compactification on a T 6 torus and on T /Z2 orbifolds. The temperature T and the supersymmetry breaking scale M are generated via the Scherk-Schwarz mechanism on the Euclidean time cycle and on an internal spatial cycle respectively. The effective field theory corresponds to a no-scale supergravity, where the corresponding no-scale modulus controls the Susy-breaking scale. The classical flatness of this modulus is lifted by an effective thermal potential, given by the free energy. The gravitational field equations admit solutions where M , T and the inverse scale factor 1/a of the universe remain proportional. In particular the ratio M/T is fixed during time evolution. The induced cosmology is governed by a Friedmann-Hubble equation involving an effective radiation term ∼ 1/a and an effective curvature term ∼ 1/a, whose coefficients are functions of the complex structure ratio M/T .
Blind quantum computing with weak coherent pulses.

The universal blind quantum computation (UBQC) protocol [A. Broadbent, J. Fitzsimons, and E. Kashefi, in Proceedings of the 50th Annual IEEE Symposiumon Foundations of Computer Science (IEEE Computer Society, Los Alamitos, CA, USA, 2009), pp. 517-526. ] allows a client to perform quantum computation on a remote server. In an ideal setting, perfect privacy is guaranteed if the client is capable of producing specific, randomly chosen single qubit states. While from a theoretical point of view, this may constitute the lowest possible quantum requirement, from a pragmatic point of view, generation of such states to be sent along long distances can never be achieved perfectly. We introduce the concept of ϵ blindness for UBQC, in analogy to the concept of ϵ security developed for other cryptographic protocols, allowing us to characterize the robustness and security properties of the protocol under possible imperfections. We also present a remote blind single qubit preparation protocol with weak coherent pulses for the client to prepare, in a delegated fashion, quantum states arbitrarily close to perfect random single qubit states. This allows us to efficiently achieve ϵ-blind UBQC for any ϵ>0, even if the channel between the client and the server is arbitrarily lossy.
AR-vector models for free-text speaker recognition

In this paper, a new text-independent speaker ecognition method is proposed. This method uses a modeling of the spectral evolution of the speech signals, which is capable of processing some aspects of the inter-speaker variability : the AR-Vector models. Some inter-speaker measures are presented and their advantages/inconvenients are discussed. A training technique to learn discriminant AR-Vector models is proposed. The evaluation of this method is carried out on the TIMIT database recorded by cooperative speakers without any impostor. A series of text-independent speaker identification experiments are described. There is no specific corpus for the training sentences and the training corpus is different from the test corpus. Two speech qualities are tested (i.e., good quality and phone quality). The experiments with good speech quality give first-rate results (i.e, identification rate of 100% for 420 speakers) without using more than two sentences for each test.
GABIND: a GA approach to allocation and binding for the high-level synthesis of data paths

We present here a technique for allocation and binding for data path synthesis (DPS) using a Genetic Algorithm (GA) approach. This GA uses an unconventional crossover mechanism relying on a force directed data path binding completion algorithm. The data path is synthesized using some supplied design parameters. A bus-based interconnection scheme, use of multi-port memories, and provision for multicycling and pipelining are the main features of this system. The method presented here has been applied to standard benchmark examples and the results obtained are promising.