Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrating Software Lifecycle Models into a uniform Software Engineering Model

: Software lifecycle models differ in their artifacts as well as in the dependencies between the included tasks and activities. Therefore support-tools, which support these lifecycles, are typically specialized on a certain lifecycle. A tool for Scrum [5] for example may model user stories and sprints, but exclude risksless shift of the applied software lifecycle, e.g. from a heavyweight to an agile methodology. Furthermore existing tools are mostly isolated from the product model, which complicates traceability between modeling tasks and the objects of tasks, e.g. UML models [3]. This paper proposes a unified Meta-Model to integrate the software lifecycle model into the Rational-based Uniform Software Engineering model (RUSE) [8]. The meta-model aims at two goals, and further evaluation is required to determine to which degree they are satisfied. First the integration between process and product model should enable a complete traceability from tasks to their objects. Second in the meta-model every artifact in the project can be potentially part of the process model, which should allow to seamlessly shift the applied software lifecycle.
A French adaptation of the Infant–Toddler Social and Emotional Assessment

Objectif: Cet article presente les proprietes psychometriques de l'adaptation francaise de l'Infant Toddler Social and Emotional Assessment (ITSEA; Carter & Briggs-Gowan, 2000), appelee l'Evaluation Sociale et Emotionnelle de Jeunes Enfants (ESEJE; Bracha, Nicolazo & Bedjhet, 2000). Methodes: L'adaptation francaise a necessite une traduction et une retrotraduction et a ete administree a 179 parents dans des centres de PMI et a 115 parents dans des creches. Des analyses factorielles confirmatoires ont ete utilisees pour evaluer la structure factorielle et le model fit a ete evalue en utilisant trois indices standards. Une analyse de la variance a examine les effets de l'âge et du sexe sur les moyennes des domaines et des echelles. Resultats: Les analyses factorielles confirmatoires ont soutenu une structure factorielle comparable a celle rapportee pour l'ITSEA. Tous les domaines et la plupart des echelles font preuve d'une fiabilite intra-echelle adequate. Certains effets d'âge et de sexe sur le moyen differaient de ceux rapportes pour l'echantillon americain. Conclusion: Nos resultats preliminaires indiquent que l'ESEJE partage la meme structure factorielle que sa contrepartie anglaise et peut etre un outil prometteur pour la detection precoce de comportements problematiques et les delais dans l'acquisition des competences chez une population francaise.
Researching Technoscientific Concerns in the Making: Narrative Structures, Public Responses, and Emerging Nanotechnologies

In this paper I engage with debates on technoscientific governance, narrative, and emergent public attitudes. Building on a piece of social research addressing public responses to the social and ethical dimensions of emerging nanotechnologies, I develop a methodology and mode of analysis designed to take into account four distinctive features of nanotechnology discourse and its constitution in the public sphere, namely: its unfamiliarity; its promissory quality; its uncanniness; and its metaphysical assumptions of progress. Through an analysis of common narratives that shape and structure lay public responses to the technology, and in response to framings of how the technology and its applications are being crafted in the public domain, I argue that nanotechnologies offer a site for an intense future politics centred on dilemmas of body invasion, unanticipated risks, nature's revenge, control, inequalities, and pace of change. I conclude with a set of reflections on the role of the critical social sciences in such a future technopolitics.
Modelling unknown words in spontaneous speech

We describe our experiments with different acoustic and language models for unknown words in spontaneous speech. We propose a syllable based approach for the acoustic modelling of new words. Several models of different degrees of complexity are evaluated against each other. We show that the modelling of new words can decrease the error rate in the recognition of spontaneous human-to-human speech. In addition, the new word models can be used as a measure of confidence capable of detecting errors in the recognition of spontaneous speech. Although the best performance is reached by applying phonetic a-priori knowledge in the design of the acoustic models, a pure data-driven approach is proposed which performs only slightly less efficiently.
Modulation, Pre-Equalization and Pulse Shaping for PCM Voiceband Channels

For the past few decades, analog voiceband modems have been used extensively to carry digital information over the Public Switched Telephone Network (PSTN). Conventional voiceband modems treat the PSTN as an analog communication channel. However, today’s PSTN is mostly a digital network except for the basic telephone services provided via analog subscriber lines. The conventional model of analog voiceband channels is no longer adequate to characterize the physical connection between terminals with direct digital access to the network and voiceband modems connected to analog subscriber lines. Such a connection requires a different model in each direction. There are now international modem standards which support rates of up to 56 kbits/s for the down-stream channel. This dissertation examines the more challenging part of the voiceband communication channel, i.e., the up-stream direction connecting an analog subscriber to the digital network. The major source of distortion on the up-stream channel is quantization error caused by analog-to-digital conversion performed as part of the encoding to Pulse-Code Modulation (PCM) process. A bandpass filter prior to the PCM encoder restricts the bandwidth while the sampling rate of the PCM encoder is predetermined by the network. Signalling in the presence of such constraints lead to theoretical problems as well as practical concerns in modem design. Communication models that characterize PCM voiceband channels are developed. We investigate modulation design and related issues including index mapping, constellation design and constellation probability assignment to match the pre-determined structure of the detector at the receiver, i.e., the PCM encoder at the central office. We develop a framework for transmitter structures that can avoid or reduce Inter-Symbol Interference (ISI) at the receiver in order to sidestep the limited bandwidth of the up-stream channels and the fixed sampling rate of the up-stream channel. Techniques employed include linear filtering, spectral shaping and precoding to reduce the ISI, while limiting the average transmitted signal power. A filterbank structure for pre-equalizing channels with spectral nulls is also described. A new method for pulse shaping design is proposed. The new pulse shaping filters provide a compatible design that can be used for the up-stream PCM channel as well as to the cascade of the up-stream and the down-stream channels. Compared to conventional modem design, the proposed modulation and pre-equalization techniques together allow for an increase of the data transmission rates in the up-stream direction of up to 50%.
Mobile robot localization using stereo vision in outdoor environments under various illumination conditions

This paper proposes a new localization method for outdoor navigation using a stereo camera only. Vision-based navigation in outdoor environments is still challenging because of large illumination changes. To cope with various illumination conditions, we use 2D occupancy grid maps generated from 3D point clouds obtained by a stereo camera. Furthermore, we incorporate salient line segments extracted from the ground into the grid maps. This grid map building is not much affected by illumination conditions. On the grid maps, the robot poses are estimated using a particle filter that combines visual odometry and map-matching. Experimental results showed the effectiveness and robustness of the proposed method under various weather and illumination conditions.
Surface EMG Classification for Prosthesis Control - Fuzzy Logic vs. Artificial Neural Network

Electromyography control system (ECS) is a well-known technique for prosthesis control application. It consists of two main modules namely feature extraction and classification. This paper presents the investigation of the classification module in the ECS. The surface electromyographic (EMG) signals were recorded from flexor and extensor muscles of the forearm during wrist flexion and extension. Standard deviation and mean absolute value were used to extract information from the raw EMG signals. Two different classifiers, fuzzy logic and artificial neural network were used in investigating the surface EMG signals. The classifier is responsible to determine the movement of the subject’s limb during specific moment. The two classifiers were compared in terms of their performance.
The Art of Inaccuracy: Why Pianists' Errors Are Difficult to Hear

Pianists9 pitch errors were identified in a MIDI data base comprising more than 90,000 notes. Ten graduate student pianists had played four pieces (Schumann9s Traumerei, Debussy9s La fille aux cheveux de lin, Chopin9s Prelude in D-flat Major, and Grieg9s Erotik) three times from the score, after only a brief rehearsal. Pitch errors were classified exhaustively as substitutions, omissions, or intrusions. (A frequent form of intrusion was the "untying" of tied notes.) Nearly all errors occurred in nonmelody voices, often inside chords. The majority of the intrusions and nearly all substitutions seemed contextually appropriate. The repeated performances made it possible to distinguish consistent from unique errors. Consistent errors were more often omissions than intrusions, and consistent intrusions were more contextually appropriate than unique intrusions. Most errors seemed likely to be perceptually inconspicuous. This was confirmed in an error-detection experiment, in which eight pianists, some of whom had recently studied the test piece (the Chopin prelude), collectively detected only 38% of all objectively registered errors. Pitch errors, rather than being a categorical phenomenon (as a scorebased analysis might suggest), vary in the degree to which they violate the music, and their perceptibility is context-, listener-, and situation dependent. Members of a typical concert audience are likely to notice only a small fraction of a pianist9s inaccuracies, which is in part due to the contextual appropriateness of most errors.
The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice

Although the research on traffic prediction is an established field, most existing works have been carried out on traditional wired broadband networks and rarely shed light on cellular radio access networks (CRANs). However, with the explosively growing demand for radio access, there is an urgent need to design a traffic-aware energy-efficient network architecture. In order to realize such a design, it becomes increasingly important to model the traffic predictability theoretically and discuss the traffic-aware networking practice technically. In light of that perspective, we first exploit entropy theory to analyze the traffic predictability in CRANs and demonstrate the practical prediction performance with the state-of-the-art methods. We then propose a blueprint for a traffic-based software-defined cellular radio access network (SDCRAN) architecture and address the potential applications of predicted traffic knowledge into this envisioned architecture.
Population Georeferencing in England and Wales: Basic Spatial Units Reconsidered

In this paper the concern is with the increasing number of methods which are available for the georeferencing of population and socioeconomic data. The majority of routine users of such data will tend to treat georeferencing of a transparent process, and will not question the impacts which georeferencing methods may have on substantive applications. In this paper four levels of geographical resolution in England and Wales are considered, between the most detailed census geography and individual property locations, and the potential for the creation of hybrid georeferences by the combination of existing data products is explored. With examples from a study area in Cardiff, South Wales, the interrelationship of the major data products is explored, with reference to basic household counts and incidence data. On the basis of these experiments, the use of hybrid georeferencing systems is reconsidered, highlighting potential applications as well as problems of data standards, confidentiality, and comparability.
Novel Use of Ranolazine as an Antiarrhythmic Agent in Atrial Fibrillation

Objective: To review the limitations of current antiarrhythmic drugs in atrial fibrillation (AF) and discuss the rationale and clinical trials supporting the use of ranolazine in AF. Data Sources: MEDLINE was searched from 1980 to September 2016 using the terms ranolazine, atrial fibrillation, coronary artery bypass grafting, and valve surgery. Study Selection and Data Extraction: English-language studies and reviews assessing antiarrhythmic drugs, including ranolazine, were incorporated. Data Synthesis: The use of ranolazine monotherapy has been evaluated in 2 clinical trials. In the RAFFAELLO trial, higher doses of ranolazine showed a trend toward lower AF recurrence versus placebo (P = 0.053), but further evidence is needed to support its use as a sole therapeutic agent. Ranolazine has shown utility in a limited number of studies as an adjunctive agent, which is critical for those in whom standard therapy is inadequate or the adverse event profile precludes optimized standard therapy. In the HARMONY trial, ranolazine 750 mg and dronedarone 225 mg twice daily reduced the AF burden by 59.1% from baseline (P = 0.008 vs placebo). In a trial by Koskinas and colleagues, patients receiving ranolazine 1500 mg once and intravenous amiodarone had a higher conversion rate than those receiving amiodarone alone (P = 0.024). There are also promising studies for the prevention and treatment of post–cardiothoracic surgery AF, which require further investigation. Conclusions: Ranolazine’s pharmacological properties and available evidence suggest potential for its use in AF.
Non-Stationary Policy Learning in 2-Player Zero Sum Games

A key challenge in multiagent environments is the construction of agents that are able to learn while acting in the presence of other agents that are simultaneously learning and adapting. These domains require on-line learning methods without the benefit of repeated training examples, as well as the ability to adapt to the evolving behavior of other agents in the environment. The difficulty is further exacerbated when the agents are in an adversarial relationship, demanding that a robust (i.e. winning) non-stationary policy be rapidly learned and adapted. We propose an on-line sequence learning algorithm, ELPH, based on a straightforward entropy pruning technique that is able to rapidly learn and adapt to non-stationary policies. We demonstrate the performance of this method in a non-stationary learning environment of adversarial zero-sum matrix games.
Neuropsychological Approaches to Learning Disorders

It is impossible within the limits of a single chapter to review all of the research and writings in neuropsychology that are relevant to education. Therefore, studies and articles have been selected that demonstrate particular approaches, some of which are uniquely neuropsychological in character, to answering educational questions. The focus will not be on the technical aspects of conducting research, such as the advantages or disadvantages of factor analysis or the recommended control groups, although those points will be touched upon. Rather, this chapter will examine research that parallels the three levels of analysis proposed by Reitan (1964): (a) pathognomonic signs, (b) levels of performance, and (c) syndrome analysis. For the purposes of discussing articles, the pathognomonic signs approach will encompass the consideration of qualitative symptoms, and the syndrome analysis will include research on patterns of performance. Few studies can be categorized exclusively into only one of the levels, but this structure serves to focus attention on the more sophisticated approaches to the study of learning. In addition, this chapter will review specific studies and programs of research which serve as particularly productive models. Finally, dynamic developmental theories will be represented as examples of the level of sophistication in theory and model building to which research may aspire. In some respects, the building of neuropsychological models follows the "medical model" of science. One of the underlying assumptions is that the study of pathology will elucidate normal functioning. For example, Freud's theory of psychosexual development evolved from his clinical practice and was assumed to describe normal as well as disordered development. Yet, in the case of purely psychological theories, the assumption may not always be valid. Certainly, some caution is required. However, the link between the neuropsychological study of learning disorders and education of the normal child may well be established through an understanding of normal learning derived from investigations of disordered learning.
A Power Model for Intrusion Detection and Defense System in Ad Hoc Network

One of the most important networking problems is assuring the network and its resources performing as expected. If network’s behavior is unpredictable or unexpected, such a network is insecure. Therefore, to assure that a network performs as expected it must be secure. Many researchers in the field of network security have stated that network security is a process that tries to optimize two characteristics of secure systems. Two characteristics are integrity and confidentiality. Having integrity means the system and its information remain unaltered by accidents or malicious attacks while confidentiality means the data that is in the system must be available only to users who are authorized to access and manipulate the information or resources on the network. To assure that the network and its services are secure recommended practices call for system administrators to develop or implement a security system generally referred to as Intrusion Detection/Defense System (ID/DS). In this paper the main area of discussion is the identification of malicious node and store unique id of the malicious node in the memory. This paper proposed a solution by combining few solutions and distilling the best from the solutions so that it can provide a better solution. Finally this paper concludes with implementing the solutions and the results obtained by the experiments using trading example. It is expected that after developing and implementing ID/DS the network will be more resistant to intrusion. The full text of the article is not available in the cache. Kindly refer the IJCA digital library at www.ijcaonline.org for the complete article. In case, you face problems while downloading the full-text, please send a mail to editor at editor@ijcaonline.org
Primary angioplasty vs thrombolysis in elderly patients.

To the Editor: In their comparison of direct angioplasty and intravenous thrombolysis as reperfusion therapy for elderly patients with acute myocardial infarction, Dr Berger et al concluded that primary angioplasty is associated with modestly lower shortand long-term mortality. However, this conclusion is problematic because of the inherent limitations of data from the Cooperative Cardiovascular Project (CCP). The study sample of patients who underwent angioplasty is not comparable to the sample of patients who received thrombolytic therapy in several vital respects. The CCP data do not permit an intention-to-treat analysis and thus are susceptible to selection and survival biases. The database cannot identify patients who died while awaiting primary angioplasty or patients in whom primary angioplasty was not attempted after cardiac catheterization—a group that comprises 10% to 19% of the primaryangioplasty groups in randomized trials and has a mortality as high as 14.1%, several times the mortality of patients who actually undergo primary angioplasty. The CCP database lacks angioplasty times for one quarter of patients who underwent angioplasty on the day of admission without antecedent thrombolysis, a group apparently excluded from the study, which thus used a potentially nonrandom sample of primary angioplasty patients. In addition, electrocardiographic characteristics of the thrombolytic and angioplasty cohorts are significantly different. The thrombolytic cohort primarily consists of patients with electrocardiographic ST-segment elevation or left bundle-branch block in accord with standard clinical criteria, whereas the angioplasty cohort also includes patients without ST-segment elevation. Of the thrombolytic cohort, 68.0% had ST-segment elevation and 30.2% had new Q waves, compared with 61.6% and 23.5%, respectively, in the angioplasty cohort (P,.001 for each comparison). Patients in the CCP without STsegment elevation have a substantially better prognosis, with 30-day mortality of 13.5%, compared with 17.2% for patients with ST-segment elevation. There are similarly large survival differences according to the presence of new Q waves. Finally, the median interval between arrival at the hospital and angioplasty balloon inflation in the current study was 129 minutes compared with intervals of 76 to 78 minutes from randomization to balloon inflation in randomized trials, suggesting that community practice of primary angioplasty involves substantially greater delay than even the Global Use of Strategies to Open Occluded Arteries in Acute Coronary Syndromes (GUSTO-IIb) trial, the most inclusive trial. Subgroup analysis of the GUSTOIIb trial showed markedly higher mortality among patients with randomization-to-inflation intervals of longer than 90 minutes, so the finding of benefit in the CCP despite such delays heightens concern about underlying bias. These potential biases could substantially affect both crude and adjusted mortality estimates. Intention-to-treat analyses of comparable thrombolytic and primary angioplasty groups of elderly patients are still needed.
Stringy Higgs mechanism and the fate of open strings

We propose a refinement of the physical picture describing different vacua in bosonic string theory. The vacua with closed strings and open strings are connected by the string field theory version of the Higgs mechanism, generalizing the Higgs mechanism of an abelian gauge field interacting with a complex scalar. In accordance with Sen's conjecture, the condensation of the tachyon is an essential part of the story. We consider this phenomenon from the point of view of both a world-sheet sigma-model and the target-space theory. In the appendix the relevant remarks regarding the choice of the coordinates in the background independent open string field theory are given.
SpamCooling: A Parallel Heterogeneous Ensemble Spam Filtering System Based on Active Learning Techniques

Anti-spam technology is developing rapidly in recent years. With the emerging applications of machine learning in diverse fields, researchers as well as manufacturers around the world have attempted a large number of related algorithms to prevent spam. In this paper, we designed an effective anti-spam protection system, SpamCooling, based on the mechanism of active learning and parallel heterogeneous ensemble learning techniques. The system adopts a batch method to filter spam and can be easily incorporated with existing mail clients (MUA). It can actively obtain user feedbacks for providing users with personalized spam filtering experiences. The parallel heterogeneous ensemble method can help system achieve high spam detection rate as well as low ham misclassification rate.