Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-transcendence, caring and their associations with well-being.

AIMS To examine the relationship between nursing staffs' self-transcendence and well-being in long-term care facilities and to investigate the mediating role of caring behaviours in the aforementioned relationship. BACKGROUND Factors associated with the well-being of healthcare providers influence the quality of care delivered. Although an increasing number of studies have shed light on the relationship between self-transcendence and subjective well-being, little is known of the mediating effect of caring behaviour in this relationship. DESIGN The cross-sectional design applied in this study included a questionnaire survey of long-term care facilities. METHODS Structural equation modelling with maximum likelihood estimation was used for empirical analysis of survey data obtained from 276 nurses and nurse-aids in 55 long-term care facilities. A bootstrapping method was used to analyse mediating effects. RESULTS Tests of the measurement model and hypothesized model showed an adequate goodness of fit to the sample data. The results showed that nursing staffs' self-transcendence was related to their caring behaviours and well-being. Moreover, caring behaviours partially mediated the relationship between self-transcendence and well-being. CONCLUSION Our findings provide insight into the influence of self-transcendence and caring behaviours on the well-being of nursing staffs in long-term care settings. Further studies are needed to clarify the role of circumstances national wide.
SequencesViewer : comment rendre accessible des motifs séquentiels de gènes trop nombreux ?

Les techniques d'extraction de connaissances appliquees aux gros volumes de donnees, issus de l'analyse de puces ADN, permettent de decouvrir des connaissances jusqu'alors inconnues. Or, ces techniques produisent de tres nombreux resultats, difficilement exploitables par les experts. Nous proposons un outil dedie a l'accompagnement de ces experts dans l'appropriation et l'exploitation de ces resultats. Cet outil est base sur trois techniques de visualisation (nuages, systemes solaire et treemap) qui permettent aux biologistes d'apprehender de grandes quantites de motifs sequentiels (sequences ordonnees de genes). / Techniques for extracting knowledge from huge volumes of data, obtained from DNA microarrays analysis, allow the discovery of previously unknown knowledge. However, these techniques produce many results not easily actionable by the experts. We propose a tool dedicated to the support of these experts in the process of appropriation and exploitation of these results. This tool is based on three visualization techniques (clouds, solar and treemap) that allow biologists to capture large amounts of sequential patterns (ordered sequences of genes).
Real time spatio temporal segmentation of RGBD cloud and applications

There is considerable research work going on segmentation of RGB-D clouds due its applications in tasks like scene understanding, robotics etc. The availability of inexpensive and easy to use RGB-D cameras and computational capabilities of GPUs has lead to development of numerous applications in this area. Recently proposed cloud segmentation methods are either slow in operation or do not operate in an online fashion making them unsuitable for applications in robotics. In this work we deal with the aforementioned problem. We propose a method to perform online segmentation of RGB-D scene. Our framework is built on dense scene mapping methods like Kinect fusion. It allows us to generate accurate and dense depth maps and provide camera pose information. Instead of directly operating on a large 3D point cloud we process individual RGB and depth frames which are assembled in a dense cloud in an incremental fashion. Pose information is used to integrate the segmentation maps into the global label cloud using GPU. We perform multi-view integration of segments as the camera is moved around in the scene by formulating the problem as weighted graph. We will discuss applications of our segmentation framework to perform real time and scalable object discovery and object detection.
Assessment of Hostile to Diarrheal Capability of Moringa Oleifera (Lam.) Clears Out

The target of present study was to assess in vivo hostile to diarrheal capability of Moringa oleifera takes off. Test was broke down for quantative estimation of phytochemicals and against diarrheal movement of ethanol concentrate, at 150 and 300 mg/kg body weight (b.w) was examined utilizing castor oil instigated model. Study uncovers that protein was most extreme in leaves (23.35%) trailed by fiber, starch, oil, sugar, alkaloid, tannin, flavanoid and phenolic. At doses of 150 and 300 mg/kg b.w extricate indicated noteworthy (p<0.01) action, when contrasted with control. In course of perception for 4 hour, oral measurement of 300 mg/kg b.w indicated surprising dosage subordinate postponement in onset of extensive loose bowels, diminish in the recurrence of cleansing, weight of wet stools, weight of aggregate stool and rate assurance. Concentrate, along these lines implies the potential clinical impact of concentrate in illness and should be broadened further for movement guided extraction/disconnection of the dynamic substance moiety.
Predicting the Lifespan and Retweet Times of Tweets Based on Multiple Feature Analysis

In social network services, such as Facebook, Google+, Twitter, and certain postings attract more people than others. In this paper, we propose a novel method for predicting the lifespan and retweet times of tweets, the latter being a proxy for measuring the popularity of a tweet. We extract information from retweet graphs, such as posting times; and social, local, and content features, so as to construct prediction knowledge bases. Tweets with a similar topic, retweet pattern, and properties are sequentially extracted from the knowledge base and then used to make a prediction. To evaluate the performance of our model, we collected tweets on Twitter from June 2012 to October 2012. We compared our model with conventional models according to the prediction goal. For the lifespan prediction of a tweet, our model can reduce the time tolerance of a tweet lifespan by about four hours, compared with conventional models. In terms of prediction of the retweet times, our model achieved a significantly outstanding precision of about 50%, which is much higher than two of the conventional models showing a precision of around 30% and 20%, respectively.
La rivalité historique entre une modélisation statique et dynamique des faits linguistiques

Le structuralisme linguistique et plus tard les modeles de Chomsky ont favorise une modelisation surtout logiciste et par le fait meme statique. Un resume critique de cette approche ouvre le debat. A la suite de propositions faites par le mathematicien Rene Thom, un petit nombre de linguistes et semioticiens ont elabore une strategie nouvelle pour la recherche des principes de la morphogenese et de l’evolution des structures linguistiques. Pour faciliter une comparaison de la strategie statique (logique, ensembliste) et de la strategie dynamique (catastrophiste, synergetique) quelques resultats de la modelisation dynamique sont resumes : la morphogenese d’un systeme de voyelles, les configurations d’attracteurs dans le noeud verbal de la phrase (l’actance) et les schemas de force dans la promesse. Au-dela d’une grammaire catastrophiste, la modelisation de l’enonciation fait apparaitre une dynamique de coordination. Enfin, la composition semantique demande un controle du chaos au sein des groupes neuronaux en interaction (synchronie). Cette comparaison methodologique mene a une reflexion sur la relation entre mathematique et linguistique en mettant en relief trois facons de voir cette relation. En conclusion la «controverse des catastrophes » des annees 1978, les reactions de Zeeman et Thom et les consequences pour une methodologie de la linguistique dynamique sont discutees.
Proposal for Extending the UPC Memory Copy Library Functions and Supporting Extensions to GASNet, v2.0

This document outlines a proposal for extending UPC’s point-to-point memcpy library with support for explicitly non-blocking transfers, and non-contiguous (indexed and strided) transfers. Various portions of this proposal could stand alone as independent extensions to the UPC library. The designs presented here are heavily inﬂuenced by analogous functionality which exists in other parallel communication systems, such as MPI, ARMCI, Titanium, and network hardware API’s such as Quadrics elan, Inﬁniband vapi, IBM LAPI and Cray X-1. Each section contains proposed extensions to the libraries in the UPC Language Speciﬁcation (section 7) and corresponding extensions to the GASNet communication system API.
Speech Enhancement Based on Linear Prediction and Correlation-Inputting Bias Free Equation Error ADF

In this paper, a speech enhancement technique to reduce background noise in noisy speech is proposed. We investigated the noise reconstruction system (NRS) based on linear prediction and system identification as a speech enhancement. Assuming that the background noise is generated from white noise by exciting a linear filter, the system identification estimates the background noise from estimated white noise. However, the white noise estimated by a linear prediction error filter (LPEF) includes residual speech, then the estimation accuracy of background noise is degraded at the system identification and the quality of enhanced speech is deteriorated. In order to reduce the influence of the residual speech, a lattice filter and a bias free equation error adaptive digital filter (ADF) are respectively introduced to the LPEF and system identification. The residual speech is reduced by the lattice filter which approximates a vocal-tract filter well. On the other hand, the bias free equation error ADF uses the cross-correlation between the whitened noise and a desired signal as a tap input. Since the speech does not have the correlation from the desired signal, the tap coefficients converge without the influence of speech.
Single-user channel estimation and equalization

There has been much interest in blind (self-recovering) channel estimation and blind equalization where no training sequences are available or used. In multipoint networks, whenever a link from the server to one of the tributary stations is interrupted, it is clearly not feasible (or desirable) for the server to start sending a training sequence to re-establish a particular link. In digital communications over fading/multipath channels, a restart is required following a temporary path interruption due to severe fading. During on-line transmission impairment monitoring, the training sequences are obviously not supplied by the transmitter. Consequently, the importance of blind channel compensation research is also strongly supported by practical needs. We present a comprehensive summary of research development on single-user channel estimation and equalization, focusing on both training-based and blind approaches. Our emphasis is on linear time-invariant channels.
Psicologia del color aplicada a los cursos virtuales para mejorar el nivel de aprendizaje en los estudiantes

La psicologia del color aplicada a l'elaboracio de la interficie que es dissenyi per a un curs virtual jugara un paper important en les possibilitats d'aprendre. Si no es elaborada de manera adequada, repercuteix immediatament en la motivacio i l'aprenentatge de l'estudiant. La interficie grafica ha de ser estimulant, explicitament, consistent i funcional, perque l'alumne l'entengui i explori facilment.
Mise au point du saucisson kasher à base d'huile végétale et de viande de volaille

Cette etude montre la possibilite d'utiliser la viande de volaille et de substituer totalement ou partiellement le gras de boeuf normalement incorpore dans le saucisson kasher, par l'huile vegetale. Divers melanges de gras a base d'huile de tournesol, de gras de boeuf et de gras de poulet ont servi a elaborer le saucisson kasher apres differents essais d'adaptation de schema de fabrication. Sur ces produits ont ete realises des tests organoleptiques, des analyses technologiques, physicochimiques et microbiologiques pour determiner les meilleurs proportions permettant d'obtenir un gras reconstitue satisfaisant du point de vue technologique et organoleptique sur produits finis. Le saucisson prepare avec l'huile de tournesol s'est avere le meilleur comme le montre l'evolution des caracteristiques organoleptiques et analytiques. Ce produit est capable de se conserver 10 jours sous regime de refrigeration.
Effect of a thromboxane A2 receptor antagonist, ramatroban (BAY u 3405), on inflammatory cells, chemical mediators and non-specific nasal hyperreactivity after allergen challenge in patients with perennial allergic rhinitis.

In some clinical studies performed in patients with perennial allergic rhinitis, ramatroban, a new thromboxane A2 receptor antagonist, significantly improved nasal symptoms. As yet the mechanism of action of this drug has not been fully elucidated. In the present study we investigated the effects of ramatroban on changes in nasal reactivity and levels of inflammatory cells and mediators in nasal lavage fluid after allergen challenge. Ramatroban was administered orally at a daily dose of 150 mg (b.i.d.) for 4 weeks to 11 patients with perennial allergic rhinitis exhibiting positive responses to nasal allergen challenge with house dust mite. Analysis of variance revealed that there was a significant decrease in eosinophil counts and eosinophil cationic protein levels in nasal lavage fluid when compared with values immediately before allergen challenge before and after ramatroban treatment. Histamine, tryptase and albumin levels were significantly decreased in analysis of variance before and after ramatroban treatment. The degree of nasal reactivity to histamine was also significantly decreased after the ramatroban treatment. These findings indicate that ramatroban decreases important pathogenic factors in allergic rhinitis, resulting in an improvement in nasal symptoms.
Traité des objets musicaux

2 Documents about the work Traité des objets musicaux (1966) / Pierre Schaeffer (1910-1995) . 2 Pages in data.bnf. fr . 2 Related authors . 2 This page in data.bnf. fr lab . 2 Sources and references . 2 Link to the main catalogue . 2 Sources
Observability based techniques to analyze and design user-interfaces : situation-awareness and displayed information

For continuous-time LTI systems under human control and under shared control, this thesis studies techniques to determine whether or not a given user-interface provides the information required to accomplish a certain task. It is well known that attaining Situation Awareness (SA) is essential to the safe operation of the systems involving human-automation interaction. Hence, through two different approaches, the work in this thesis evaluates and designs user-interfaces based on the satisfaction of SA requirements by the user. In the first approach, observability-based conditions under which a userinterface provides the user with adequate information to accomplish a given task are identified. The user is considered to be a special type of observer, with capabilities corresponding to different levels of knowledge regarding the input and output derivatives. Through this approach, the “user-observable/user-predictable” subspaces for systems under shared control are defined and formulated. In addition, state estimation is considered to incorporate a processing delay. Hence, the “delay-incorporating userobservable/user-predictable” subspaces are formulated and are compared with the space spanned by the combination of the states which create the task. If the task subspace does not lie in the relevant space, then the userinterface is incorrect, meaning that the user cannot accomplish the desired task with the given user-interface. In the second approach, to determine the required information to be displayed, a model of attaining SA for the users is proposed. In this model, the user is modeled as an extended delayed functional estimator. Then, the information needed for such an estimator to make correct estimations as well as the desired expansion of the functional of the states to let the user ii Abstract precisely reconstruct and accurately predict the desired task is determined. Additionally, it is considered that in practice, to attain the situation awareness, the estimation of the task states does not necessarily need to be precise but can be bounded within certain margins. Hence, the model of the user attaining SA is also modified as a “bounded-error delayed functional observation/prediction”. Such an observer/predictor has to exist for a system with a given user-interface, otherwise, the safety of the operation may be compromised.precisely reconstruct and accurately predict the desired task is determined. Additionally, it is considered that in practice, to attain the situation awareness, the estimation of the task states does not necessarily need to be precise but can be bounded within certain margins. Hence, the model of the user attaining SA is also modified as a “bounded-error delayed functional observation/prediction”. Such an observer/predictor has to exist for a system with a given user-interface, otherwise, the safety of the operation may be compromised.
A Language for Querying Source Code Repositories

approved: Martin Erwig The history of a software project plays a vital role in the software development process. Version control systems enable users of a software repository to look at the evolution of the source code, and see the changes that led to newer versions. Currently, version control systems provide commands that can be used to retrieve information about the history, such as, listing different versions, viewing the difference between two arbitrary versions, inspecting changes made in a specific version, and so on. These commands, in one way or the other, require users to first identify the version and then browse through the changes made in it. In this thesis, I present GitQL, a language for querying the history of files that are version-controlled by git. GitQL provides more general queries than git and enables users, for example, to look for specific changes in a file or just retrieve all the changes made to a specific text. GitQL is implemented based on vgrep, a generalization of grep that works on variational strings, which form the formal basis for version-controlled files. Finally, I evaluate the expressiveness of GitQL. ©Copyright by Deepthi S Kumar December 7, 2017 All Rights Reserved A Language for Querying Source Code Repositories
The Conversational Interface: Talking to Smart Devices

This book provides a comprehensive introduction to the conversational interface, which is becoming the main mode of interaction with virtual personal assistants, smart devices, various types of wearable, and social robots. The book consists of four parts. Part I presents the background to conversational interfaces, examining past and present work on spoken language interaction with computers. Part II covers the various technologies that are required to build a conversational interface along with practical chapters and exercises using open source tools. Part III looks at interactions with smart devices, wearables, and robots, and discusses the role of emotion and personality in the conversational interface. Part IV examines methods for evaluating conversational interfaces and discusses future directions.
Attention shift-based multiple saliency object segmentation

Abstract. Object segmentation is an important but highly challenging problem in computer vision and image processing. An attention shift-based multiple saliency object segmentation model, called ASMSO, is introduced. The proposed ASMSO could produce a pool of potential object regions for each saliency object and be applicable to multiple saliency object segmentation. The potential object regions are produced by combing the methods of gPb-owt-ucm and min-cut graph, whereas the saliency objects are detected by a visual attention model with an attention shift mechanism. In order to deal with various scenes, the model attention shift-based multiple saliency object segmentation (ASMSO) contains different features which include not only traditional features, such as color, uniform, and texture, but also a new position feature originating from proximity of Gestalt theory. Experiments on the training set of PASCAL VOC2012 segmentation dataset not only show that traditional color feature and the proposed position feature work much better than features of texture and uniformity, but also prove that ASMSO is suitable for multiple object segmentation. In addition, experiments on a traditional saliency dataset show that ASMSO could also be applied to traditional saliency object segmentation and performs much better than the state-of-the-art method.
Perceived exertion and dyspnea in pediatrics: a review of rating scales

Design of the study: literature review. Objective: to review and present different scales used to evaluate the perceived exertion and dyspnea in children and adolescents. Methodology: a literature review to researching in the electronic databases: Medline / PubMed and SPORTDiscus (EBSCO), no date restriction in the period of February to May 2013.Used the following keywords: child, Perceived exertion, dyspnea, scale. Publications that used and validated perceived exertion and / or dyspnea scales specific to children and adolescents were considered. Results: 154 studies were found, of which 12 were included in this review. Were identified a total of 15 validated scales in English and one in Portuguese, with the majority of them to build on the Borg scale. Each has its own peculiarities, considering the type of exercise and activity to be performed, the clinical situation to be assessed and the child’s age. Its proper application can portray reliable information and facilitate the active participation of this age group during different activities, assisting in the care and science. Conclusions: there is no scale considered the gold standard so far. All scales are elaborated with figures, verbal and numerical descriptors, to facilitate understanding of the children and allow them to have their own understanding of dyspnea and effort.
Developing an easy-to-use Query language for verification of lighting systems

Current day lighting systems are large scale heterogeneous distributed systems. These systems are not only large, but also subject to increased demands from its stakeholders. These systems are hard to test and errors are often found late in its development. TNO/ESI together with Philips Lighting has created a domain model of lighting systems to aid in system specification. We provide a (domain generic) framework for creation of easy to use property specification languages as well as a (domain specific) prototype (“the Query language”) for specification of behavioral lighting system properties. We have based our work on common patterns for property specifications and use a pattern library to create an easy to use and extensible language. We provide an extension of the translation of Gruhn and Laue (2006) in what we call monitors and rules that translate to both UPPAAL and a custom Co-simulation Framework. This extended translation may be reused across domains. Finally, we validate that our language is easy to use, show its value to Philips Lighting and show its extensibility.