Miracle-dz/UniFAR-FTUs huggingface dataset:
Fruidings from two national educational contexts

During the last decade in Belgium and the Netherlands, comprehensive reform of primary education emanated from central policy. In both cuntries the national authorities set up a program to encourage and facilitate the new primary school concept. This paper reports on 25 schools in the Netherlands and 52 in Belgium that acquired special funding and assistance. Research was based on the assumption that the school's response manifests itself in three ways: in the nature of the implementation agenda; in specially arranged structures to conduct the implementation activities; and in steering the flow of implementation work. Data were collected from interviews, questionnaires, observation, and document analysis. Respondents included principals and staff, external change facilitators, school inspectors, and policy makers. The first part provides an overview of national policy at the local school level, with attention to school/national policy interaction. Part 2 outlines and illustrates a profile of steering functionsdirection/concert clarification, directional pressure, assistance/support, and latitude definition. The concept of implementation as an intervention in the ongoing school organizational processes is examined in part 3, which describes the local concerns generated by comprehensive mandates for change. Part 4 accounts for differences in the two national repertoires of policy inducements and addresses the question of how a central policy program presents itself locally. A profile of policy inducements from the school's perspective is articulated. Two figures are j.ncluded. (29 references) (LMI) **It****Sm*A***V*R**ItRA**VC********************************************** Reproductions supplied by EDRS are the best that can De made from the original document. ***********************************************************A*It********* rrti3i1 U S DEPARTMENT Of EDUCATION LIHce c4 Educat.ona, gesea,c Is g rn3 imptCretriPrit E 0 A T1ONAt RE SOU"CES OWORMATION CENTER ,ERICI I fs,s aee,,me,t nas twet, reef o1uce<1 as 'ecea , 'Om IN, cle,soo o, iwgnr,ZAN. :III or.g. na3n0 3 M. ,"0, OI41^6)PS ',Ave Nee" "acie In ,PrIfOcluclq,0 4'0, 3' " 5'3,e0 rr "C' "4'. e'543' 3. (It N. pc0.53.,3, . l'! "PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) Symposium PAPER American Education Research Association San Francisco 1992 Schools invlementing a central reform policy Fruidings from two national educational contexts Rein van der Vegt, University of Utrecht, The Netherlands Roland Vandenberghe, University of Leuven, Belgium aril 1992 Utrecht/Leuven 3EST Crin Alb:1112LE 4mposium PAPER American Educational Research Association San Franc lico 1992 SCHOOLS IMPLEMENTING A CENTRAL REFORM POLICY: findings from two national educational contexts Rein van der Vegt, Univemity of Utrecht, The Netherlands Roland Vandenberghe, University of Leuven, Belgium
IC 2 S 2 2018 Submission : Predicting the Performance of Software Development Teams on GitHub

Although there are many prescriptive models of effective teamwork, accurately predicting team performance remains an open research challenge. In particular, modeling the behavior of virtual teams in which the members are dispersed geographically is of great importance in the modern workplace. The aim of our research is to use machine learning to predict the performance of virtual teams over long time periods. Our approach leverages features from the Espinosa et al. research on teams [1] in which they show that familiarity with team and task is beneficial to team performance. To study the performance of virtual teams, we use data from software developers who collaborate using GitHub1, a popular software repository and collaborative development tool [2]. Software development teams can store their open source software as a repository on GitHub and use the platform to support team communications such as reporting bugs and requesting new features. GitHub repositories typically have several collaborators working on the project as a virtual team. Collaborators make changes to the repository by committing their content. Any GitHub user can contribute to a repository through sending a pull request. Collaborators review pull requests and decide whether to accept or reject the requests [2]. Contributors can attach a comment to their commit or pull request to communicate a message. Unlike other communication channels, the list of public events is available to everyone; this transparency makes GitHub a unique platform to study team behavior [3]. In our project, we use team familiarity, task familiarity, and team complexity in order to predict the performance of teams, as measured by the popularity of their projects. Team familiarity is the knowledge of team members about each other; task familiarity is the knowledge about the task itself [1]. To measure team familiarity among collaborators of a GitHub repository, we investigate the past projects and communications of every pair of collaborators working on that repository. For example, if two collaborators have shared project history, or they have mentioned each other in comments, we score them as being more familiar with one another. To infer task familiarity on GitHub, we compare the past experiences of developers with characteristics of the repository such as programming language and topic. For instance, the number
Coping with illness

Volume I: Growth and Impact of Medical Sociology Part A: Historical Origins Part B: Theoretical Approaches Part C: Theories of the Middle Range Part D: New Directions Volume II: Social Dimensions of Health Part E: Social Change and Health Part F: Social Structures Part G: Health Inequalities Part H: Risk and Risk Behaviours Volume III: Coping with Chronic Illness and Disease Part I: Sick Role Part J: Therapeutic Relationships Part K: Chronic Illness and Stigma Part L: Disability and Disability Politics Volume IV: Health Policy and Care Part M: Models of Health Care Delivery Part N: Welfarism Part O: Globalism and Health Care Reform Part P: Evaluation
Voltage-operated Ca 2 F channels and the acrosome reaction : which channels are present and what do they do ?

Evidence from pharmacological studies suggests that induction of the acrosome reaction of mammalian spermatozoa by solubilized zona pellucida, and possibly by progesterone, is dependent upon Ca 2F influx through voltage-operated Ca2F channels. Studies on Ca 2F accumulation and membrane potential in ligand-stimulated or artificially depolarized spermatozoa support such a conclusion. Electrophysiological studies on rodent spermatogenic cells have revealed the presence of a ‘T’ type voltage-operated Ca2F current. This current has pharmacological attributes consistent with those of the putative channel responsible for Ca2F influx mediating the acrosome reaction. However, use of molecular techniques to study human and rodent testis and spermatogenic cells has detected the presence of three different voltage-operated Ca2F channel subunits. One of these (αlE) may generate T-currents, though this is currently disputed. Voltage-operated Ca2F channel structure and the relationship between channel subunit expression and the characteristics of consequent Ca 2F
The Empirical Evidence of Bias in Trials Measuring Treatment Differences

The findings and conclusions in this document are those of the authors, who are responsible for its contents; the findings and conclusions do not necessarily represent the views of AHRQ. Therefore, no statement in this report should be construed as an official position of AHRQ or of the U.S. The information in this report is intended to help health care decisionmakers—patients and clinicians, health system leaders, and policymakers, among others—make well-informed decisions and thereby improve the quality of health care services. This report is not intended to be a substitute for the application of clinical judgment. Anyone who makes decisions concerning the provision of clinical care should consider this report in the same way as any medical reference and in conjunction with all other pertinent information (i.e., in the context of available resources and circumstances presented by individual patients). This report may be used, in whole or in part, as the basis for development of clinical practice guidelines and other quality enhancement tools, or as a basis for reimbursement and coverage policies. AHRQ or U.S. Department of Health and Human Services endorsement of such derivative products may not be stated or implied. This document is in the public domain and may be used and reprinted without special permission. Citation of the source is appreciated. Persons using assistive technology may not be able to fully access information in this report. For assistance contact EffectiveHealthCare@ahrq.hhs. gov. None of the investigators have any affiliations or financial involvement that conflicts with the material presented in this report. ii Preface The Agency for Healthcare Research and Quality (AHRQ), through its Evidence-based Practice Centers (EPCs), sponsors the development of evidence reports and technology assessments to assist public-and private-sector organizations in their efforts to improve the quality of health care in the United States. The reports and assessments provide organizations with comprehensive, science-based information on common, costly medical conditions and new health care technologies and strategies. The EPCs systematically review the relevant scientific literature on topics assigned to them by AHRQ and conduct additional analyses when appropriate prior to developing their reports and assessments. To improve the scientific rigor of these evidence reports, AHRQ supports empiric research by the EPCs to help understand or improve complex methodologic issues in systematic reviews. These methods research projects are intended to contribute to the research base in and be used to improve the science of systematic reviews. They are not intended …
THE POWER OF SOME MULTNARIATE

The asymptotic power of the likelihood ratio test for cointegration is investigated for the error correction model with a drift term, which allows for a linear trend in the variables. The likelihood ratio test is compared with a detrended version of the test. In the detrended version the variables have been corrected for mean and linear trend before testing for cointegration. The two tests asymptotic distributions under the null hypothesis of cointegration and under local alternatives are found. By comparing local power properties of the two tests, it is argued that the detrending procedure leads to a loss in asymptotic power.1 1 I would like to thank SlZIren Johansen for his very helpful suggestions and comments. Also thanks to Bent Nielsen who kindly modified the simulation program [13] for the power simulations.
Characterization of Gd loaded chitosan-TPP nanohydrogels

Chitosan CS—tripolyphosphate TPP/hyaluronic acid HA nanohydrogels loaded with gadolinium chelates (GdDOTA ⊂ CS-TPP/HA NGs) synthesized by ionic gelation were designed for lymph node (LN) MRI. In order to be efficiently drained to LNs, nanogels (NGs) needed to exhibit a diameter f<100 nm. For that, formulation parameters were tuned, using (i) CS of two different molecular weights (51 and 37 kDa) and (ii) variable CS/TPP ratio (2<CS/ TPP<8). Characterization of NG size distribution by dynamic light scattering (DLS) and asymetrical flow-field-flow-fractionation (AF4) showed discrepancies since DLS diameters were consistently above 200 nm while AF4 showed individual nano-objects with f<100 nm. Such a difference could be correlated to the presence of aggregates inherent to ionic gelation. This point was clarified by atomic force Nanotechnology Nanotechnology 28 (2017) 055705 (15pp) doi:10.1088/1361-6528/aa5188 9 Author to whom any correspondence should be addressed. 0957-4484/17/055705+15$33.00 © 2016 IOP Publishing Ltd Printed in the UK 1 microscopy (AFM) in liquid mode which highlighted the main presence of individual nanoobjects in nanosuspensions. Thus, combination of DLS, AF4 and AFM provided a more precise characterization of GdDOTA⊂ CS-TPP/HA nanohydrogels which, in turn, allowed to select formulations leading to NGs of suitable mean sizes showing good MRI efficiency and negligible toxicity.
MULTICOMPONENT CLUSTER MANAGEMENT SYSTEM FOR THE COMPUTING CENTER AT IHEP

Cluster management system is a core part of any computing infrastructure. Such system includes components for allocating and controlling over resources for different computing tasks, components for configuration management and software distribution on the computing hardware, components for monitoring and management software for the whole distributed infrastructure. The main goals of such system are to create autonomic computing system with functional areas such as self-configuration, self-healing, self-optimization and self-protection or to help to reduce the overall cost and complexity of IT management by simplifying the tasks of installing, configuring, operating, and maintaining clusters. In the presented work current implementation of the multicomponent cluster management system for IHEP computing center will be shown. For the moment this system consists of event-driven management system, configuration management system, monitoring and accounting system and a ChatOps technology which is used for the administration tasks.
Alternatives to Antibiotics : Novel Strategies to Reduce Foodborne Pathogens in Organic Poultry

Organic poultry production is one of the fastest growing segments of organic agriculture with a 20% average annual increase since the establishment of the National Organic Program (NOP). Although most management practices in organic production are designed to promote bird health and prevent disease, the lack of consistent and long lasting organic therapeutics for enteric diseases can adversely influence bird health and wholesomeness of poultry products. Enteric diseases such as necrotic enteritis, and food safety concerns due to pathogens such as Salmonella and Campylobacter, are high priority issues for organic poultry producers. Although the conventional poultry industry is equipped with several interventions to control these pathogens in broiler chickens, organic poultry producers have access to only a limited number of antibacterials that are safe, effective and approved for organic poultry production. Therefore, there is a critical need for developing strategies to promote gut health and limit disease/pathogens in organicallyraised birds. Through an Organic Research and Extension Initiative (OREI, NIFA) funded project, a team of poultry researchers from across the United States have collaborated to target this issue and provide organic farmers with viable, easy to implement solutions that improve poultry health and safety. Research from our laboratories indicates that plant-based, food-grade, natural and environmentally-safe compounds such as β-resorcylic acid, eugenol and carvacrol have significant antimicrobial efficacy against poultry pathogens and could address food safety and disease concerns in organic production systems.
3 DYNAMIC MIXTURE-OF-EXPERTS MODELS FOR LONGITUDINAL AND DISCRETE-TIME SURVIVAL DATA Matias

We propose a general class of exible models for longitudinal data with special emphasis on discrete-time survival data. The model is a nite mixture model where the subjects are allowed to move between components through time. The time-varying probabilities of component memberships are modeled as a function of subject-speci c time-varying covariates. This allows for interesting within-subject dynamics and manageable computations even with a large number of subjects. Each parameter in the component densities and in the mixing function is connected to its own set of covariates through a link function. The models are estimated using a Bayesian approach via a highly e cient Markov Chain Monte Carlo (MCMC) algorithm with tailored proposals and variable selection in all sets of covariates. The focus of the paper is on models for discrete-time survival data with an application to bankruptcy prediction for Swedish rms, using both exponential and Weibull mixture components. The dynamic mixture-of-experts models are shown to have an interesting interpretation and to dramatically improve the out-of-sample predictive density forecasts compared to models with time-invariant mixture probabilities.
An Open Flow based Hybrid Control Plane in a Software Defined Network Environment

An OpenFlow control plane architecture characteristic of SDN limit the flow based scalability. To address the scalability problem, two control plane architectures such as flat and hierarchical methods for the improvement of the scalability of the SDN. However, two control plane architectures have issues: the Flat Architecture (FCPA) does not solve the time computing growth of the north bound (control plane), SDN network grows bigger in size; the Hierarchical Architecture (HCPA) problem with route path span. To address the two issues, propose a model named and known as (Orion) hybrid network model, Hybrid Control Plane Architecture (HYCPA) for scale software defined network environment. Hybrid Network model combines the control plane architectures of flat and hierarchical methods. In hybrid network model reduces the computing time and route span of north bound by constructing Abstract Hybrid Network View (AHNV). An Abstract Hybrid Routing Method (AHRM) is introduced to calculate the best route path. A hybrid Fast Reroute Method (HFRM) is constructed to achieve backup path for link removal and restore the previous original shortest path. Hybrid network model is implemented to verify the performance evaluation by calculating computing tine and route span with respect to number of links via the number of areas, flow rate and delay with respect to number of areas.
Detection of Herpes Simplex Virus Thymidine Kinose ond Latency-Associated Transcript Gene Sequences in Human Herpetic Corneas by Polymerase Chain Reaction Amplification

Herpes simplex virus (HSV) latency in sensory ganglion neurons is well documented, but the existence of extraneuronal corneal latency is less well defined. To investigate the possibility of extraneuronal latency during ocular HSV infection, corneal specimens from 18 patients with quiescent herpes simplex keratitis (HSK) were obtained at the time of keratoplasty. Polymerase chain reaction (PCR) amplification followed by southern blot hybridization with a radiolabeled oligonucleotide probe was done to detect the presence of HSV-1 genome in these human corneal samples. Two pairs of oligonucleotides from the region of the HSV thymidine kinase (TK) gene and the latency-associated transcript (LAT) gene were used as primers in the PCR amplification. The DNA sequences from either the TK or the LAT gene were identified in 15 of 18 HSK corneas (83%). These results demonstrate that the HSV genome was retained, at least in part, in human corneas during quiescent HSV infection, giving further support to the concept of corneal extraneuronal latency. Invest Ophthalmol Vis Sci 32:18081815, 1991
STANDARDS FOR DISTRIBUTED RENEWABLE ENERGY SOURCES INTEGRATION IN FUTURE ELECTRICITY DISTRIBUTION NETWORKS

Distributed Renewable Energy Sources (DRESs) such as wind and solar are becoming a promising alternative for the energy supply in modern (smart) electricity grids as part of future sustainable smart cities. Successful integration of DRESs requires efficient, resilient, and secure communication in order to satisfy the highly challenging and real-time constraints of smart city applications. Regardless of the various research solutions proposed in this context within the last decade, the relevant standardization is a non-trivial issue and is still in its infancy. In this position paper, we briefly review the currently employed DRES communications standards and identify the gaps in their present status. Finally, we discuss and suggest potential pathways for further improvement.
Stimulated Brillouin Scattering ( SBS ) Suppression Techniques in High Power Fiber Amplifiers

This paper explores the various methods to mitigate SBS in high power fiber amplifiers for military applications. The techniques presented include cascaded fibers with different Stokes shifts due to various Ge-dopant concentrations, using a thermal gradient across the fiber to broaden the gain, and finally, using frequency modulation of the pump beam to broaden the spectrum and increase threshold.
The Development of a Math Strategy in Spanish for Latino English Language Learners at Risk for Math Disabilities.

Math content for English Language Learners (ELLs) is unforgiving in terms of the constant need to build specific math and reading knowledge. As a result, ELLs may not only need math support but also reading comprehension support. The purpose of this study was to assess the effectiveness of a word problem solving strategy called Estratégica Dinámica de Matemáticas (EDM). EDM was designed to provide math strategy support in the native language based on students’ reading and language comprehension levels. A changing criterion multiple baseline design was used to instruct six second-grade Latino ELLs at risk for math disability. As compared with the baseline phase, EDM increased word problem solving for all participants. All students’ level of performance were maintained and generalized during follow-up sessions. This study has implications for a native language intervention that focuses on comprehension strategy training to facilitate word problem solving performance.
Guidance and Control of a Quadrotor towards a Moving Land Platform

Received: 05.05. 2017 Accepted: 12.08. 2017 Quadrotors are utilized in several military and civil applications. To improve the performance characteristics, their weight is desired to be kept at minimum. However, the battery which constitutes one of the major components of a quadrotor weighs more if its range is extended. When a moving destination point is considered as well, the power requirement becomes larger. Thus, a proper motion planning comes into the picture as a necessity for the quadrotor to reduce the total operation time and hence to lower the power consumption. In this study, a novel guidance-based motion planning scheme is proposed regarding two different guidance laws towards a moving land platform. Moreover, an effective two-stage control system is designed in a way compatible with the suggested guidance laws. The success of the constructed guidance and control algorithm is demonstrated by means of suitable computer simulations. Eventually, it is concluded that the linear homing guidance law leads to more satisfactory results than the other guidance approach utilized in this study, i.e. body pursuit guidance law.