Miracle-dz/UniFAR-FTUs huggingface dataset:
Gouvernance du développement régional: comment les régions peuvent-elles valoriser leur potentiel?

collaboration intercommunale, à améliorer les processus de développement régional et à renforcer la compétitivité d’une région (OCDE, 2006; Meadowcroft, 2007), la gouvernance régionale est également reconnue comme un outil permettant d’analyser le fonctionnement des processus de développement régional (Pütz et al., 2017). La notion de gouvernance régionale est utilisée ici comme un concept décrivant la manière dont les acteurs publics et privés – qui représentent les différents intérêts de la politique, de l’administration, de l’économie et de la société civile – coordonnent les processus de développement régional (Willi et al., 2018).
LONGITUDINAL DRIFT COMPRESSION OF INTENSE CHARGED PARTICLE BEAMS

To achieve high focal spot intensities in ion-beam-driven high energy density physics and heavy ion fusion applications, the ion beam must be compressed longitudinally by factors of ten to one hundred before it is focused onto the target. The longitudinal compression is achieved by imposing an initial velocity profile tilt on the drifting beam, and allowing the beam to compress longitudinally until the space-charge force or the internal thermal pressure stops the longitudinal compression of the charge bunch. In this paper, the problem of longitudinal drift compression of intense charged particle beams is analyzed analytically using a one-dimensional warm-fluid model describing the longitudinal beam dynamics. The hodograph transformation is used to transform the nonlinear fluid equations into a single, second-order, linear partial differential equation (PDE). The approximate general solution of this equation describing the intense beam system with stagnation point is obtained. THEORETICAL MODEL In the present analysis, we employ a one-dimensional warm-fluid model [1, 2] with adiabatic equation of state (ds/dt = 0, where s is the entropy per unit volume) to describe the longitudinal nonlinear beam dynamics with average electric field given by the g-factor model with ebEz = −ebg∂λ/∂x [3]. For example, for a transverselyspace-charge-dominated beam with flat-top density profile in the transverse plane, g ' 2 ln(rw/rb) [4, 3] while for a transversely-emittance-dominated beam g ' 2 ln(rw/rb)+α where the numerical coefficient α depends on the transverse beam-density profile. Here, λ(x, t) is the line density, eb is the charge of a beam particle, rw is the conducting wall radius, and rb is the beam radius. Generally, the beam radius, and therefore the g-factor, are functions of the line density and the external transverse focusing, and can change during the beam compression. Here we consider only the case of a transversely-emittancedominated beam when the beam radius, and therefore the g-factor, remain constant during compression. The macroscopic fluid equations for the line density λ(x, t), the average longitudinal beam velocity v(x, t), and the longitudinal line pressure p(x, t) are given by [1, 2]
A Multi-Object Feature Selection Based Text Detection and Extraction Using Skeletonized Region Optical Character Recognition in-Text Images

Information or content extraction from image is crucial task for obtaining text in natural scene images. The problem arise due to variation in images contains differential object to explore values like, background filling, saturation ,color etc. text projections from different styles varies the essential information which is for wrong understand for detecting characters.so detection of region text need more accuracy to identify the exact object. To consider this problem, to propose a multi-objective feature for text detection and localization based on skeletonized text bound box region of text confidence score. This contributes the intra edge detection, segmentation along skeleton of object reflective. the impact of multi-objective region selection model (MSOR) is to recognize the exact character of style matches using the bounding box region analysis which is to identify the object portion to accomplish the candidate extraction model.To enclose the text region localization of text resolution and hazy image be well identified edge smoothing quick guided filter methods. Further the region are skeletonized to morphing the segmented region of inter segmentation to extract the text.
Monitoring Service Adaptation and Customer Churn in the Beginning Phase of a New Service

This work focuses on the analytics and metrics of a service adaptation. Adaptation is analysed based on activity and churn behaviour. In a non-binding registration service, churn may not be a permanent phenomenon, but partial churn prediction could be more useful as a metric. Based on the findings service, adaptation remains similar as the customer base broadens. The burst type usage data are challenging for churn predictions, but combinations and merged variables benefit the analysis. As in the future, the findings may be integrated as part of a retention campaign or applied in the development of the service. Keywords–Data mining; Service adaptation; Customer churn; Customer lifetime; Logistic regression; Cross validation
Environmental Behaviours in the Czech Republic, Austria and Germany between 1993 and 2010: Macro-Level Trends and Individual-Level Determinants Compared

Comparing environmental behaviours in the neighbouring coun- tries of Austria, the Czech Republic and Germany, this article discusses the national and individual level determinants of private and public environmen- tal actions. For this purpose, survey data collected by the International Social Survey Programme (ISSP) in 1993, 2000 and 2010 are analysed. The analysis reveals that values are more important for public behaviour and socio-de- mographics are more important for private behaviour. At the macro-level, an initial gap can be reported: Public and private behaviours were less frequent in the Czech Republic and also to a certain extent in East Germany. The gap between these former socialist countries and Austria and Germany has de- creased over time. The convergence, however, happens at an overall low level of public behaviour and an overall high level of private behaviour.
Persistent ductus arteriosus and in-hospital morbidities in newborns of very low birth weight

Resultados: El ductus arterioso persistente (DAP) es el defecto cardiocirculatorio más frecuente en prematuros, está inversamente relacionado con la edad gestacional y el peso al nacimiento; y se asocia a diversas complicaciones. Evaluar la morbilidad asociada a la presencia de ductus arterioso persistente (DAP) en Recién Nacidos de muy bajo peso al nacer (RMBPN). Estudio retrospectivo de casos y controles anidado en una cohorte de RMBPN admitidos en la UCIN, de enero de 2013 a diciembre de 2015. Excluidos RN con malformaciones congénitas, fallecidos en sala de parto, fallecidos el primer día de vida asociados a asfixia perinatal severa y trasladados a otras instituciones. Las características basales fueron: peso, edad gestacional, sexo, control prenatal, hipertensión materna, embarazo múltiple, restricción del crecimiento, corticoide prenatal, ruptura prolongada de membranas, tipo de parto, Apgar. Las morbilidades analizadas fueron: distres respiratorio (SDR), hemorragia pulmonar, enterocolitis necrozante (ECN), hemorragia intraventricular (HIV), sepsis, soporte respiratorio, broncodisplasia pulmonar (DBP), ruptura alveolar, retinopatía del prematuro (ROP), días de internación y muerte. Se consignaron los datos en SSPS 17 y Epi info 7.2, se aplicó la prueba X2 o Fischer, t de Student o la prueba de Mann Whitney. Significancia p< 0,05 con intervalo de confianza 95%. Se incluyeron 131 RN, con DAP 62 y sin DAP 69, cuyas características basales fueron similares, salvo el uso de corticoides prenatales para el grupo sin DAP (p 0.035) RR 0,7 (0,5-0,9). Los RN con DAP tuvieron SDR (p 0,0003) RR 1,5 (1,1-1,9), hemorragia pulmonar (p 0,024) RR 8,9 (1,1-69), ventilación mecánica (p ABSTRACT
Food web properties in aquatic microcosms with litter mixtures are predictable from component species

Many aquatic systems depend on allochthonous organic matter. Quality of litter differs between plant species. Therefore, the composition of the surrounding veg- etation may influence litter decomposition and other processes in aquatic food webs. We recorded the abundance of insect larvae, as well as the diversity of cultivable fungi and bacteria, the metabolic diversity of the microflora, and leaf litter decomposition rates in aquatic outdoor microcosms, using litter from four broad-leaved tree species and a mixture of the four litter types. Diversity of fungi, abundance of bacteria and functional diversity of the microflora and decomposition differed between microcosms with litter from each of the four tree species. For microcosms with the mixture of litter, observed values of all measured variables did not differ from the expectations derived from microcosms with litter from only one tree species. We conclude that specific traits of the component litter species (e. g. C/N ratio) outweigh possible non-additive effects in mixtures. Our results contrast with findings in terrestrial systems where de- composition rates of mixtures are not always predictable from the rates measured for the component species.
Technical and Economic Assessment of Renewable Energy Sources for Telecom Application : A Case Study of Nepal

Telecommunication Networks have changed the way people live, work and play. Due to the massive demand of broadband services, the power solutions is an urgent requirement which are provided to these stations and networks through the use of grid electricity, conventional energy and alternative energy sources. In the urban areas, telecommunication network can be powered through the use of grid electricity, however, in rural areas grid electricity is not available or is available in few stations only and the use of conventional energy is costly as well. This paper gives an overview of existing power network of Base Transreceiver Station (BTS) of Nepal Telecom (NT) and present technical and economic assessment for proper selection of technologies on Diesel Generator (DG), hybrid DG/Battery and hybrid Photovoltaic PV/DG/Battery as a backup power supply in the urban areas, and hybrid PV/Wind with Battery backup, PV with Battery backup and PV with FuelCell/Electrolyzer/Battery backup in the rural areas.
Characteristics of Instructionally Effective School Districts

AbstractIn this article we present findings from our exploratory study of 12 instuctionally effective school districts (IESD) in California. Districts were identified on the basis of their ability to promote high levels of student achievement on standardized tests (aggregated to the district level) after controlling for socioeconomic status, previous achievement, and language proficiency. Studies on school improvment and organizational control and coordination provided the theories and frameworks that informed the study. The primary emphasis was on analysis of organizational structures and coupling mechanisms rather than on cultural linkages. Results are based on interviews with superintendents and analyses of selected documents. Seventeen themes or characteristics found in these IESD are discussed under the categories of (1) conditions, (2) climate factors, (3) characteristics of curriculum and instruction, and (4) organizational dynamics. Information about variations in these themes is also presented.We.
Innovation and Sustainability in Large-Scale Healthcare Improvement Collaborative – Seven Propositions for Achieving System-wide Innovation and Sustainability ABSTRACT: Change and reform in the Healthcare system, and policy determination to reduce costs has now necessitated a rethink and more innova

Change and reform in the Healthcare system, and policy determination to reduce costs has now necessitated a rethink and more innovation for this sector. In the healthcare sector, leadership needs to strengthen professionals who have the dual responsibility for ensuring the quality and effectiveness of healthcare and this requires new organisational forms beyond the traditional hierarchical organisational structures. Drawing upon strategic management and leadership discourse to underpin the study into sustainable and high performing systems, we then look at seven key lessons (propositions) from a mixed-methods study of a live city-wide large-scale collaborative in Leeds, UK. These seven propositions are framed in the context of leadership and strategy, however interesting and emergent findings also emerged as a result of the study. We thereby illuminate the challenges and opportunities to the collaboratives development in the context of global government calls for better healthcare management within the sector. We found that in the sustainability of such collaboratives, requires a more effective structure could be local city-wide collaborative in contrast to national or regional collaborative, however there are also several unknowns in such novel organisational structures. The shared and distributive form of leadership is underpinned with an energetic strategic leader who holds the centre whilst inspiring and empowering the collective nature of all members. This is also effectively achieved through promotion of a professional culture that is sustained through structured organisational learning. This paper adds to the small but growing body of knowledge in Improvement Collaboratives in the Health sector.
Detección de voz y música en un corpus a gran escala de eventos de audio

Acoustic event recognition is the ability to extract information about ocurrences from the sounds produced by them. Such is a basic skill for the human auditory system, but its development in computational intelligence is currently an active research field involving machine learning models such as neural networks. This Master’s Thesis aims to study the implementation of several neural network architectures to speech and music event recognition over a collection of 77,936 ten seconds audio segments (216 hours), obtained from the Google AudioSet dataset. These segments belong to YouTube videos. Two different approaches are proposed and compared: one of them is training two separated neural networks for speech event detection and music event detection, while the other one consists on training a joint neural network to tackle both tasks at the same time. Among the studied architectures, fully-connected networks, convolutional networks and LSTM (Long ShortTerm Memory) are included. Along this report, the organization of the dataset, the selection of the used segments and the design of the proposed models are described. Additionally, comparative results of the evaluated settings are provided in terms of performance and model complexity.
A REVIEW ON EUPHORBIA NERIIFOLIA PLANT

Medicinal plant usage is as old as humankind in the therapeutics. There are about 45,000 medicinal plants species in India. The officially documented plants with medicinal potential are 3000 but traditional practitioners use more than 6000. Bioactive compounds in plants have also been utilized for additional purposes, namely as arrow and dart poisons for hunting (several Aconitum species), poisons for murder, hallucinogens used for ritualistic purposes, stimulants for endurance, and hunger suppression, as well as inebriants and medicines. The plant chemicals (bioactive compounds) used for pharmacological or toxicological effects are largely the secondary metabolites. These secondary metabolites called bioactive compounds can be classified into several groups according to their chemical classes, such alkaloids, terpenoids, cardiac glycosides, saponins, steroids, limonoid, tannins, flavonoids, and phenolics [1]. In 18th century and before that, the plants are major source for the treatment of different diseases and infections.
Cardiac Sarcoidosis: F18FDG-PET/CT as the Most Helpful Tool in the Decision Making of Medical Management, and Assessment of Response to Treatment

We describe the case of a 32-year-old healthy man who presented to the Emergency Department (ED) with vomiting, dizziness, and diaphoresis in addition to transient episodes of loss of consciousness on the day of admission. The patient’s past medical history was unremarkable. Once in the ED triage vitals showed a heart rate of 254 beats per minute and an initial Electrocardiogram (EKG) showing stable monomorphic ventricular tachycardia. After conversion to sinus rhythm the patient was admitted where and after a long array of tests, the patient was diagnosed with cardiac sarcoidosis. Implantable Cardioverter-Defibrillators (ICD) was implanted and he was started on corticosteroids. The medical management of the patient’s treatment with corticosteroids was very challenging. Fludeoxyglucose positron emission tomography/ computed tomography (FDG-PET/CT) was the most helpful tool and the test of choice for the follow up in his medical management.
Environmental Regulations and Pollution Havens

Environmental concerns in the last decades have given rise to environmental regulations, especially in high-income countries. The pollution haven hypothesis argues that differences in environmental regulations unintentionally give the least regulated countries a comparative advantage in the production of pollution intensive goods, turning them into pollution havens. I use the Heckscher–Ohlin– Vanek (HOV) framework to analyse this argument for the five most pollution intensive industries. The empirical approach is developed by Quiroga et al. (n.d.) and includes a sulphur dioxide based measure of environmental endowment in the HOV regression. I use an unbalanced panel for 103 countries between 1995 and 2012. Two industries show significant support for the alternative hypothesis (the Porter hypothesis) which states that regulations, instead of giving firms a competitive disadvantage, spur them to innovation and increase their competitiveness. In conclusion, I argue that the strong support in favour of the pollution haven hypothesis found by Quiroga et al. is driven by Japan and that their result is not robust to the inclusion of heteroskedasticity-robust standard errors.
The Estimation of Financial Conditions Indices for the Major OECD Countries

Financial conditions indices (FCIs) have been developed to summarise financial conditions and also supplement more traditional macroeconomic forecasting. They capture market expectations but also quantitative and survey information. This paper seeks to provide up to date financial conditions indices for six countries, France, Germany, Italy, Japan, the United Kingdom and the United States, as well as the euro area, updating earlier results by the OECD. The addition of the period of the financial crisis period has made radical changes to the original results of the FCI estimation. Country-specific estimates provide a number of wrong signs and insignificant coefficients. We find in general that the panel (and NiGEM) based FCIs are more satisfactory. Furthermore, a promising avenue for further research is the dynamic factor/principal components approach. Estimation des indices des conditions financieres pour les grands pays de l'OCDE Les indices des conditions financieres (ICF) ont ete elabores afin de recapituler les conditions financieres et completer les previsions macroeconomiques plus classiques. Ils incluent les attentes des marches mais aussi le traitement des informations quantitatives et les donnees d’enquetes. Ce document vise a fournir les ICF les plus recents de six pays : Allemagne, Etats-Unis, France, Italie, Japon et Royaume-Uni, ainsi que la zone euro, et a actualiser les indices anterieurs etablis par l'OCDE. La prise en compte de la periode de la crise financiere a radicalement modifie les estimations initiales de l’ICF. Les estimations nationales livrent un certain nombre de faux signaux et de coefficients non significatifs. D’une maniere generale, nous pensons que les ICF estimes en panel (et a partir du modele econometrique NiGEM) donnent des resultats plus satisfaisants. En plus, l’analyse des facteurs dynamiques /analyse des composantes principales representent une approche prometteuse a explorer pour la suite des recherches.
Prosodie et intonation : notions de base et données neuro-psycholinguistiques

L a prosodie est un aspect determinant du langage parle qui permet de vehiculer un message linguistique et paralinguis-tique et que nous pouvons definir comme un systeme grammatical complexe (Beckman, 1996) dont les sous-composantes sont l'intonation, le phrase et l'accentuation (intonation, phrasing , prominence). D'un point de vue strictement phonetique, il s'agit principalement des modulations melodiques et rythmiques produites dans un enonce qui servent a vehiculer du sens pragma-tique (comme le focus de phrase) ou bien a marquer la frontiere des constituants syntaxiques. En effet, afin de saisir pleinement le sens ou la structure linguistique d'un enonce, les informations lexicales, syntaxiques et semantiques ne suffisent pas, et les modulations prosodiques doivent etre prises en compte. Par exemple, la meme phrase « Aujourd'hui il fait vraiment beau » peut vehicu-ler soit un sens litteral, si elle est prononcee avec une intonation assertive neutre, ou bien signifier son contraire si elle est pronon-cee avec une prosodie ironique (D'Imperio, Champagne-Lavau, Loevenbruck, et Fouillaud, 2013 ; Loevenbruck, Jannet, D'Impe-rio, Spini & Champagne-Lavau, 2013). La prosodie joue aussi un role dans la desambiguisation syntaxique, si on prend l'exemple « La vieille ferme la porte », qui peut etre prononce soit comme « La vieille ferme la porte » ou bien « La vieille ferme la porte » (ou la rupture prosodique est marquee par la barre verticale), qui different par la fonction de l'homophone « ferme » qui revet un role verbal dans la premiere phrase vs celui d'un adjectif dans la deuxieme. Il s'agit aussi des premiers aspects de la parole acquis par l'enfant, et ce a partir du stade prenatal (de Boysson-Bardies, 1996), qui lui permettront d'acceder au lexique (Gerken, 1996 ; Gerken, et Aslin, 2005 ; Jusczyk, Cutler, et Redanz, 1993 ; Jusc-zyk, et Kemler Nelson, 1996) ainsi qu'a d'autres structures lin-guistiques, telles que les constituants syntaxiques de haut niveau. Parmi les sous-systemes prosodiques, un aspect qui a retenu l'attention de nombreux chercheurs est l'intonation, ou les variations melodiques au cours de l'enonce qui peuvent etre utilisees pour apporter une valeur pragmatique contrastive (Beyssade, Delais-Roussarie, Marandin, et Rialland, 2004 ; Ladd, 1996/ 2008 ; Portes et Reyle, 2014). Dans le langage adulte, des patrons intonatifs contrastifs, tels que des accents melodiques categori-quement differents (qui different par exemple en alignement tonal, c'est-a-dire la position temporelle du pic melodique a l'interieur d'une syllabe accentuee, voir D'Imperio 2011 pour une revue), peuvent en effet determiner a eux seuls la valeur pragmatique d'un enonce telle que, par exemple, le contraste entre une question et une assertion, comme dans (1) ; ou signaler la portee du focus informationnel (large ou etroit) ou un contraste dans le discours, comme dans (2) ; ou bien desambiguiser un referent dans le discours (Ito et Speer, 2008), ce qui est exemplifie en (3). Plus specifiquement, une courbe melodique montante (voir 1b) est uti