Miracle-dz/UniFAR-FTUs huggingface dataset:
Stille krachten van de verzorgingsstaat: De precaire professionalisering van de sociaal-culturele beroepen

‘Geitenwollen sokken’, dat is het beeld dat lange tijd aan ze kleefde: jongerenwerkers, sociaal-cultureel werkers, opbouwwerkers en vormingswerkers. Het beeld dateert uit de jaren zestig en zeventig, de periode waarin deze sociaal-culturele professionals het meest van zich lieten horen. Minder bekend is dat ze de ‘uitvinders’ zijn van allerlei vernieuwingen, zoals dorps- en buurthuizen, bibliotheken, speeltuinen, activering van werkelozen, kinderopvang, volwasseneneducatie, poppodia, buurtbemiddeling en community arts. In ‘Stille krachten van de verzorgingsstaat’ beschrijft Marcel Spierts de stormachtige ontwikkeling van de sociaal-culturele beroepen na de Tweede Wereldoorlog. Hij laat zien hoe de naoorlogse politieke en culturele elite deze kersverse professionals opzadelde met torenhoge verwachtingen ten aanzien van modernisering en individuele ontplooiing. Hoe in de jaren zestig en zeventig het werk radicaliseerde, en in de decennia daarna de ontnuchtering en bezuinigingen volgden. Maar ook hoe na de politieke moorden van deze eeuw de belangstelling voor het werk terugkeerde. Opmerkelijk daarbij is hoe jongerenwerkers, sociaal-cultureel werkers, opbouwwerkers en vormingswerkers er in al die stormen toch in slagen om hun professionaliteit, vakmanschap en ambachtelijkheid naar een hoger plan te tillen.
Out of this world : why literature matters to girls

Language and Literacy Series The author analyzes the way the girls discuss pleasure in becoming "the eye" of the reader, use film to decode the genres of literature, master forms such as fantasy and Gothic, describe the differences between reading and viewing films, and identify only with animal rather than human characters. Blackford intertwines the vivid voices of her girl respondents with her own story of moving beyond her feminist and multicultural assumptions of how children are shaped by the stories we tell in literature.
CITE NLM: natural-language searching in an online catalog

L'acces public au catalogue online de la National Library of Medicine (NLM) par l'intermediaire du prototype CITE (Computerized information transfer in english) offre des possibilites uniques de recherche telles que: entree des questions en langage naturel, affichage automatique des vedettes matieres medicales, strategie de recherche tres rigoureuse, sortie classee des documents, feedback de pertinence immediat possible de l'utilisateur final permettant un affinement de la recherche. Le systeme permet aussi des options pour la presentation des resultats (titres, abstracts etc.) (INTD)
C Programmer's Guide to Serial Communications

From the Publisher: Comprehensive coverage of serial communications for all intermediate and advanced C programmers. This new edition provides a new perspective on incorporating serial communications with C. Includes new information about Windows and DOS serial communications Discusses the basics of serial communications, ASCII, and RS-232 technology Filled with inside information to bring developers up-to-date on the latest developments in serial communications
The impact of ownership structure on bank productivity and efficiency: Evidence from semi-parametric Malmquist Productivity Index

Abstract The present study employs the state of the art bias-corrected Malmquist Productivity Index method to examine the sources of efficiency and productivity of the foreign and domestic banks operating in the Malaysian banking sector. The preferred methodology enables us to isolate efforts to catch up to the frontier (efficiency change) from shifts in the frontier (technological change [TECHCH]). The results indicate that the Malaysian banking sector has exhibited productivity progress mainly attributed to technological progress. The empirical findings suggest that both the domestic and foreign banks have exhibited productivity progress albeit at different quantum attributed mainly to progress in TECHCH.
Assessing Risk Perception, Self-Efficacy, and Entrepreneurial Attitudes and Intentions: Implications for Entrepreneurship Education

Entrepreneurship appears important as an economic and social phenomenon because it increases economic efficiencies, brings innovation, creates jobs (Shane and Venkataraman, 2000). Despite decades of research, we still have only a limited understanding of the process that lead an individual to become an entrepreneur (Markman, Balkin and Baron, 2002). The number of public and private initiatives to train and educate people to be more entrepreneurial have multiplied on both sides of the Atlantic (see for example Fayolle 2000a; Katz, 2003; Kuratko, 2005). Facing this multiplication of entrepreneurship education programmes and the increasing resources allocated to those initiatives it does appear strong needs to evaluate, compare and improve the design of such programmes. The aim of this research, through the understanding of the perceived risk and self-efficacy constructs and their impact on individual's entrepreneurial intention, is to study the possibility to orientate the design, the pedagogy and the contents of entrepreneurship education programmes in order they take wider and deeper into account these key dimensions.Social psychology and cognitive theories offer several understandings of the role of some beliefs and attitudes in the phenomenon of new venture creation. Among all the factors that may influence entrepreneurial cognition, we have chosen to emphasize the role of two particular concepts supposed to impact one's orientation of starting a new venture: risk perception and self-efficacy.To do this, we incorporated scales measuring risk perception and self-efficacy in an existing instrument used to assess entrepreneurship teaching programmes based on the theory of planned behaviour (see Fayolle, 2003; Fayolle and Gailly, 2004; Fayolle, 2005; Fayolle et al., 2005). We suggest that risk perception and self-efficacy, as well as the antecedents of entrepreneurial behaviour described in the theory of planned behaviour (attitudes, subjective norms, perceived behavioural control, and intentions), may consist useful indicators to monitor in order to evaluate and improve entrepreneurship teaching programmes.However, due to the timing of our research and its initial ambition, this work constitutes only a first step: testing our extended framework and proposed tools of measure. The discussion of the results will be done at the light of our main aim and so, the implications will address educational questions both at the theoretical and the practical levels.
Impremention of Design tool for class E switching circuits using Spice

This paper presents a design tool for class E switching circuits using Spice. This design tool is implemented by using the software of PSpice and OPTIMUS. Because of automatic calculations of bias points included in PSpice, two kinds of algorithm are prepared. One is a fast algorithm for the circuit design with ideal switch models, and the other is a slow algorithm with active device models. Both algorithms achieve high accurate designs for class E switching circuits. Moreover, easy operation is realized for the designers by using graphical user interface in OPTIMUS. We can show the validity of the proposed design procedure from two design examples.
Role of Water and Ions on the Dynamical Transition of RNA

We have performed molecular dynamics simulations of hydrated polycrystalline powder hammerhead ribozyme at various temperatures from 50 to 300 K to determine the role of water and ions on the dynamical transition of RNA. Calculated mean-square displacement as a function of temperature is in agreement with existing neutron scattering experiments. Using this model, we were able to investigate the role of water and monovalent ion structure and dynamics on the appearance of anharmonic motions in RNA as a function of temperature. Compared to experimental and simulation results of proteins under similar environmental conditions, the amplitude of motions in RNA are smaller. While the structure and dynamics of monovalent ions interacting with RNA infer a stronger coupling than that of water, it is found that the relaxation of water from the surface of RNA is sufficient for the increase in anharmonic motions above the dynamical transition temperature. The nature and temperature dependence of fast and slow hydrogen.
Trust your science? Open your data and code

Reproducibility in the computational sciences seems to be capturing everyone’s attention. Movements to address the reliability of published computational results are arising in fields as disparate as geophysics, political science, fluid dynamics, computational harmonic analysis, fMRI research, and bioinformatics. Open data and code in climate modeling has taken on a new priority since ClimateGate in 2009 (i.e., www.nature.com/ news/2010/101013/full/467753a.html), and Amstat News has recounted efforts to ensure reproducibility in genomics research in the wake of the termination of clinical trials at Duke University in December of 2010 (see http://magazine.amstat.org/blog/2011/01/01/ scipolicyjan11). These efforts are essential to addressing the “credibility crisis” in science. It is impossible to believe most of the computational results presented at conferences and in published papers today. Even mature branches of science, despite all their efforts, suffer severely from the problem of errors in final published conclusions. Traditional scientific publication is incapable of finding and rooting out errors in scientific computation, and standards of verifiability must be developed. A smattering of these efforts will give a sense of the scope at which the community is addressing this issue. The Institute of Medicine of the National Academies is undertaking a consensus study titled “Review of Omics-Based Tests for Predicting Patient Outcome in Clinical Trials,” (see www.iom.edu/Activities/Research/OmicsBasedTests. aspx), and sessions on reproducibility were held at SIAM Geosciences 2011, this year’s AAAS annual meeting, and SIAM Computing in Science and Engineering 2011. Also, a three-day workshop is to be held at Applied Mathematics Perspectives this month. In 2009, stakeholders from biology, computational chemistry, geophysics, law, astronomy, and other fields collectively drafted a declaration on data and code sharing in the computational sciences (www.computer.org/portal/web/csdl/doi/10.1109/ MCSE.2010.113 and www.stanford.edu/~vcs/ Conferences/RoundtableNov212009). Since January of this year, the National Science Foundation has required data management plans to be peer reviewed with every grant application. Open access to data and software are relevant to advancing trustworthy science and are discussed in the 2010 reauthorization of the America Competes Act (see http://blog.stodden.net/2011/05/27/regulatory-steps-toward-open-science-and-reproducibility-weneed-a-science-cloud). As we embrace and tackle this issue across the computational sciences, concepts are inevitably labeled with different terms and different concepts are emphasized. I will touch on the semantic and substantive differences in the various approaches to reliability in computational and dataenabled sciences.
Modeling irregularly spaced residual series as a continuous stochastic process

In this paper, the background and functioning of a simple but effective continuous time approach for modeling irregularly spaced residual series is presented. The basic equations were published earlier by von Asmuth et al. (2002), who used them as part of a continuous time transfer function noise model. It is shown that the methods behind the model are build on two principles: The first is the fact that the equations of a Kalman filter degenerate to a form that is equivalent to “conventional” autoregressive moving average (ARMA) models when the modeled data are considered to be free of measurement errors. This assumption, in comparison to the “full” Kalman filter, also yields a better prediction efficiency (Ahsan and O'Connor, 1994). The second is the mathematical equivalence between discrete time AR parameters and continuous exponentials and the point that continuous time models provide an elegant solution for modeling irregularly spaced observations (e.g., Harvey, 1989). Because simple least squares methods do not apply in case of modeling irregular data, a sum of weighted squared innovations (ΣWΣI) criterion is introduced and derived from the likelihood function of the innovations. In an example application it is shown that the estimates of the ΣWΣI criterion converge to maximum likelihood estimates for larger sample sizes. Finally, we propose to use the so‐called innovation variance function as an additional diagnostic check, next to the well‐known autocorrelation and cross‐correlation functions.
Cautiousness Caps Curiosity: The Influence of Risk on Attitude towards Product Subscription Models

Product subscription models have grown in popularity among retailers and consumers. We show that risk perception plays a central role in consumers’ evaluation of product subscriptions. Contrasting with predefined subscriptions, where contents are known to consumers prior to delivery, surprise subscriptions, where contents are unknown to consumers prior to delivery, carry an inherent risk for consumers to receive unwanted products. Surprise-related research, however, has not yet touched upon surprise as a retailing mechanism. Based on Prospect Theory, we delineate that consumers prefer predefined subscriptions in shorter and surprise subscriptions in longer delivery intervals. The degree of perceived risk thus caps the frequency in which consumers prefer recurring subscription deliveries. We show how retailers can manipulate associated risk through the introduction of a free-return option in order to increase consumers’ propensity to select surprise subscriptions in higher frequencies.
Real-time Physical Simulation of Wind Energy Conversion Systems

The real-time wind turbine simulators are enabling the testing of wind energy conversion systems’ (WECS) control units and of the associated control algorithms in a controlled environment. It is known that a simulator can predict the behaviour of an industrial system subjected to certain operating conditions before its real-world implementation. But, the main motivation of using physical simulators for wind energy applications, resides within another argument. It is about the fact that a dedicated laboratory setup can provide something that does not exist in real-world applications: controllable wind velocity. So, a wind turbine physical simulator offers a prime mover which behaves as a “wind-turbinepowered-like shaft” (Nichita et al., 2002), allowing the static and dynamic characteristics replication of a mathematically-modelled wind turbine. This is the great advantage of such simulator as it replaces very expensive parts – such as the turbine rotor and the drive train – operating in a stochastic environment by conveniently-controlled electrical motors, operating in a controlled environment. This allows the repetitive experiments being carried out independently from wind and meteorological conditions in a most safe laboratory environment. Besides its prime mover, all of the physical WECS elements are present in the physical simulator as they are in the real-world application. Therefore, the electromechanical part of the generation chain exhibits the real phenomena presented in a wind power system. In this way the above-listed advantages are not faded by replicating a simplified electrical behaviour and a WECS-dedicated control unit will interact with a genuine wind power system. When analyzing the concerned literature, one can note that the preliminary experimental validation of WECS control laws is always performed on wind turbine simulators. This is a reason for quite rich literature being dedicated to this subject. One can find two types of papers dealing with small-scale WECS simulators for different generation configurations. The first category is composed of works focusing on test rig building aspects (Leithead et al., 1994; Battaioto et al., 1996; Rodriguez-Amenedo et al., 1998; Diop et al., 1999a; Akhmatov et
Optimizing Cash Management Model Using Computational Intelligence

In today’s technical era, the financial organizations have great challenges to optimize the cash management process. Maintaining minimum cash leads to customer frustration. At the same time, upholding excess cash is a loss to the organization. Hence, soft computing based cash management solutions are required to maintain optimal cash balance. An Artificial Neural Network (ANN) is one such technique which plays a vital role in the fields of cognitive science and engineering. In this study, a novel ANN-based cash Forecasting Model (ANNCFM) has been proposed to identify the cash requirement on daily, weekly and monthly basis. The six cash requirement parameters: Reference Year (RY), Month of the Year (MOY), Working Day of the Month (WDOM), Working Day of the Week (WDOW), Salary Day Effect (SDE) and Holiday Effect (HDE) were fed as input to ANNCFM. Trials were carried out for the selection of ANNCFM network parameters. It was found that number of hidden neurons, learning rate and the momentum when set to 10, 0.3 and 0.95, respectively yielded better results. Mean Absolute Percentage Error (MAPE) and Mean Squared Error (MSE) were used to evaluate the performance of the proposed model. MSE that was less than 0.01 proves the capability of the proposed ANNCFM in estimating the cash requirement.
Monolingual bias in second language acquisition research

This paper questions whether second language (L2) acquisition research lives up to its claim to deal with the learner’s language as an independent system. First the paper describes the original assumption that learners have independent grammars and sees whether the terminology of L2 acquisition research fits with this. Then it measures some typical L2 research methodologies against this assumption. It argues that the independence of the L2 user is a necessary tenet for L2 acquisition research that has to be properly accommodated within the field, adopting the practice of bilingualism research
Development of a distributed process control programming tool for function block description

Production plants have been complicated by the diversification of products. In order to control complicated production plants, distributed process control is a powerful approach. In the development of a distributed process control system, it is difficult to develop its software because distributed controllers complicatedly interact with each other. For that reason, the function block model, which is the specification language for distributed process control logic, is being standardized in IEC61499-1. A distributed process control programming tool for function block description is proposed. It is possible to describe control programs hierarchically by using function blocks. The GUI of this tool supplies multi-windows which can simultaneously display function blocks on different hierarchical levels. In this tool, inputted programs can also be verified by a simulation. This tool is applied to the control program description of an automatic carrier system. It has been confirmed that the control program is completely described and simulated by using this tool.
Modelling multimodal genre in print media : A case study of tourist brochures

This paper aims to show how the Genre and Multimodality (GeM) model (Bateman 2008) can be applied to the study of multimodal meaning-making and genre as higher level organizational concept in print media. The theoretical framework of the GeM model combines the methodologies of corpus and text linguistics and document design in a multi-layered and cross-referenced XML-based annotation schema, which is suited for the systematical analysis required in modelling the complex phenomenon of genre in print media. An analysis of a series of five tourist brochures published between 1967 and 1988 for the purpose of advertising the city of Helsinki serves as the basis for a discussion of the patterns that may be identified in the rhetorical, layout and navigational structures in this particular print media genre. The semiotic resources of language and image convey ideational meaning for the purpose of construing a persuasive image of the locations, and to guide the reader to and around the location. Consistent patterns in layout and realisation information (typographical and visual features) are used to make the document accessible to the reader. The findings imply that while identifying patterns that may be attributed to the genre of tourist brochure is possible, many of the features can also exist in other print media genres, which suggest that the concept of genre itself is fuzzy and may contain overlapping features. A prototypical model of genre provides a context for more detailed studies of multimodal semiotics, but further investigations and comparative studies are required to in order to work towards a functioning definition genre in print media.
( 2 SAJIB ) organized by the ISCB-SC RSG-Argentina

The 2nd Argentine Symposium of Young Bioinformatics Researchers (2SAJIB, according to its acronym in Spanish) took place on November 2017 in Buenos Aires, Argentina. SAJIB is the main annual student-based activity in the field of Bioinformatics and Computational Biology in Argentina and one of the largest in Latin America. Here we summarize the main activities and outcomes from the 2nd SAJIB that gathered together young students and researchers from all over the country and featured recognized Principal Investigators both from the local and international scenes. PeerJ Preprints | https://doi.org/10.7287/peerj.preprints. 3504v2 | CC BY 4.0 Open Access | rec: 4 Jan 2018, publ: 4 Jan 2018
Informal support and depressive symptoms among the aged in Kangwha,Korea

The aim of this study is to provide a relatively in‑depth analysis of informal support process among the elderly in Kangwha Korea. Con‑ crete purposes of this study were as follows :investigating the demo‑ graphic characteristics and depressive symptoms of the elderly;examin‑ ing the mutual support process between elderly and support system ;and finally evaluating informal social support process affecting depressive symptoms of the elderly. Based on the findings the conclusion of this research is that an exchange process between the focal person (elderly and the support system. Informal support is also effective in decreasing depressive symptoms. In particular the result indicate that structural support significantly decrease depressive symptomsboth directly and indirectly through functional support. This study could contribute as a baseline model to study and develop further networking and network intervention using informal support system.