Miracle-dz/UniFAR-FTUs huggingface dataset:
Conceptualizing Professional Commitment-Based School Strategy : A Finnish Perspective

Core values inherent in the Finnish comprehensive education system can in many respects be interpreted to cluster and cohere around a Bildung discourse, which is paradoxically seen against the backdrop of the system’s stable high rank in PISA, the hallmark of an outcome discourse. Yet the point is that within the frames of a Bildung discourse, the themes in focus for curricula go beyond basic skills with a similarly strong focus on societal values and culture. At the process level, Finland is more deeply and strongly infused with a policy culture that is more compatible with the Bildung tradition than the Anglo-Saxon outcome discourse—with its core values of organizing and leading for relations and teaching. As noted by Finnish scholars, such cultural traits of the Finnish system are viable and can be interpreted as associated with institutional path dependency, anchored in longstanding agrarian and social-democratic values. The current paper interprets these cultural traits also as manifest at the local level around a school strategy model close to the one characterized as a professional commitment strategy in the early 1990s by the American scholars Susan Rosenholtz and Brian Rowan. The purpose of the paper, however, is to advance this theoretical understanding a step further towards a conceptual model of commitment-based school strategy. This paper is, thus, a pure conceptual piece. To elaborate the early insights from the 1990s further, a case drawn from Helsinki primary school is used as an empirical illustration.
Assessment of the Influence of Quercetin on the Activities of Selected Enzymes in Experimental Rats Under Oxidative Stress Due to Oxidized Dietary

Background. The kind and quality of dietary fat may influence the bioactivity of quercetin manifested as its effect on the activities of selected enzymes. Objectives. The aim of the study was to evaluate the effect of quercetin on the oxidative potential of blood and liver functions in rats under oxidative stress due to dietary fats. Material and Methods. The rats were fed diets with 8% content of fat and 0.5% addition of cholesterol. Subsequent evaluations involved the effect of quercetin on the activities of superoxide dismutase (SOD) in ery− throcytes and glutathione peroxidase (GPx) in full blood as well as those of alanine and asparginate aminotrans− ferases (ALT and AST, respectively) and alkaline phosphatase in plasma and liver extracts. The dietary source of prooxidants included oxidized sunflower oil and lard. The four−week experiment was performed on 80 male Buffalo rats, of which 40 were given a 0.075% addition of quercetin as a dietary supplement (60 quercetin per mg/kg of rat body mass). Results. Quercetin as well as the quality and kind of fat in the diet were found to exert a significant effect on the investigated parameters. The addition of quercetin resulted in a significant activation of SOD in the rats on a diet with fresh oil and decreased SOD activity in the rats fed oxidized lard. It decreased the activity of GPx in rats fed oxidized lard and oil. The activity of plasma alanine and asparginate aminotransferases was in the physiological range and did not indicate damage to the liver cells. Quercetin decreased significantly the activity of ALT in the plasma of rats on a diet containing oxidized oil. Quercetin reduced significantly plasma AP activity in rats fed fresh lard and increased its activity in rats on a diet containing oxidized oil. The changes in AP activity in plasma and in liver extracts followed the same directions. Quercetin exerted an unfavorable effect in the form of increased accu− mulation of fat in the liver cells, which was indicated by high levels of the de Ritis index. The degree of fatty degen− eration of the liver was differentiated and it depended on the kind and quality of the dietary fat. Conclusions. The direction of quercetin activity was determined by the kind of fat in the diet. Beneficial effects were observed only in selected groups of animals, i.e. decreased ALT activity was observed only in animals fed a diet with oxidized oil and increased SOD activity only in rats on a diet with fresh oil (Adv Clin Exp Med 2008, 17, 5, 503–512).
Do the drivers of innovation in KIBS differ with their knowledge base ?

Knowledge intensive business services (KIBS) are known to play a significant role in innovation systems. Past research has however mostly treated KIBS as a homogenous group. In this study, we apply a mix of qualitative and quantitative methods to examine a dataset comprising 362 KIBS firms active in the UK in three ? sectors? : architecture and engineering consulting; specialist design; and software and IT consulting. Partly through the application of content analysis techniques of information drawn from firms? websites, we identify the primary ? knowledge type? central to each firm, be that analytical, synthetic or symbolic knowledge. We also examine how the ? drivers? of innovation vary between firms with different knowledge types. The paper therefore contributes to the literature by developing a methodology for empirically identifying ? knowledge types? by utilising website information and by showing that the factors associated with innovation differ with the primary knowledge type of the firm. This contributes to understanding variety among KIBS. We also find that investments in design are particularly important for some innovation in KIBS, and discuss the need for further research on design as a ? driver? of innovation. [183 words]
The Mechanical Interpretation of Ocular Response Analyzer Parameters

Purpose Ocular Response Analyzer (ORA) is one of the most widely used devices in clinic, while the mechanical interpretations of parameters obtained from ORA have not been understood completely. The aim of this research is to explore the mechanical interpretation of ORA parameters. Methods Rabbits aged 3-24 months were measured with ORA in vivo and corneal strips uniaxial tensile tests to get ORA parameters and corneal biomechanical parameters (corneal elastic modulus, relaxation time, and relaxation limit). The mechanical interpretation of ORA parameters was cognized preliminarily by analyzing the correlation between ORA parameters and corneal biomechanical parameters. On the other hand, finite element method was applied to simulate ORA measurements with different corneal biomechanical parameters to obtain quantitative relationship between ORA parameters and corneal biomechanical parameters further. Results Biomechanical experimental results showed that Corneal Resistance Factor (CRF) was correlated with corneal elastic modulus and relaxation limit significantly, while the significant correlations between Corneal Hysteresis (CH) and corneal biomechanical parameters were not observed. Results of finite element analysis showed that both CH and CRF were correlated with corneal elastic modulus, relaxation limit, and relaxation time significantly. Besides, corneal elastic modulus was positively correlated with upslop1 and upslop2 and negatively correlated with w2. Conclusions For all ORA parameters, CH, CRF, the upslope, and the width of the peaks are parameters which may reflect corneal elastic properties. It is viable to cognize mechanical interpretation of ORA parameters by the comparisons of the data from ORA and biomechanical tests of rabbits with different ages and the simulations of ORA based on finite element methods. Further studies are needed to confirm the mechanical interpretation.
Pathomechanisms of Blood-Brain Barrier Disruption in ALS

The blood-brain barrier (BBB) and the blood-spinal cord barrier (BSCB) are responsible for controlling the microenvironment within neural tissues in humans. These barriers are fundamental to all neurological processes as they provide the extreme nutritional demands of neural tissue, remove wastes, and maintain immune privileged status. Being a semipermeable membrane, both the BBB and BSCB allow the diffusion of certain molecules, whilst restricting others. In amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases, these barriers become hyperpermeable, allowing a wider variety of molecules to pass through leading to more severe and more rapidly progressing disease. The intention of this review is to discuss evidence that BBB hyperpermeability is potentially a disease driving feature in ALS and other neurodegenerative diseases. The various biochemical, physiological, and genomic factors that can influence BBB permeability in ALS and other neurodegenerative diseases are also discussed, in addition to novel therapeutic strategies centred upon the BBB.
Diversity, specificity and molecular evolution of the lytic arsenal of Pseudomonas phages. In silico perspective.

Bacteriophages encode an arsenal of proteins to lyse bacteria by breaking their surface structures, constituting a promising alternative to antibiotics. However, the selection and bioengineering of endolysins and other phage lytic proteins needs to be assisted by a previous knowledge on their molecular characteristics. In this study all putative lytic proteins encoded in Pseudomonas phages were in silico examined to describe their diversity, host association and molecular evolution. A total of 491 proteins were identified among 223 phages, including endolysins, holins, pinholins, spanins, lipases and peptidases. Protein families and combination of functional domains were characteristic of phages belonging to the same genus, and these tended to infect a single host species. Clustering and phylogenetic analysis showed a protein grouping associated to bacterial host, and some functional domains being specific. Interestingly, most putative lytic proteins from phages infecting P. fluorescens and P. putida had negative net charges, opposed to most endolysins. Phage lifestyle also had an impact on protein variability, with transglycosylases, glucosamidases, holins and spanins from lysogenic phages clustering into monophyletic nodes, suggesting the effect of a different selection pressure as a result of the co-option of a new function in the lysogenized bacteria. This article is protected by copyright. All rights reserved.
Dynamic Vulnerability in Oscillatory Networks and Power Grids

Recent work found distributed resonances in driven oscillator networks and AC power grids. The emerging dynamic resonance patterns are highly heterogeneous and nontrivial, depending jointly on the driving frequency, the interaction topology of the network and the node or nodes driven. Identifying which nodes are most susceptible to dynamic driving and may thus make the system as a whole vulnerable to external input signals, however, remains a challenge. Here we propose an easy-to-compute Dynamic Vulnerability Index (DVI) for identifying those nodes that exhibit largest amplitude responses to dynamic driving signals with given power spectra and thus are most vulnerable. The DVI is based on linear response theory, as such generic, and enables robust predictions. It thus shows potential for a wide range of applications across dynamically driven networks, for instance for identifying the vulnerable nodes in power grids driven by fluctuating inputs from renewable energy sources and fluctuating power output to households.
Spreading protons in the heliosphere: a note on cross-field diffusion effects

We study how a high-speed solar wind stream embedded in a slow solar wind affects the transport and energy changes of solar energetic protons in interplanetary space, assuming different levels of cross-field diffusion. This is done using a particle transport model that computes directional particle intensities and first order parallel anisotropies in a background solar wind generated by the magnetohydrodynamic model EUHFORIA. In particular, we consider a mono-energetic 4 MeV proton injection over an extended region located at a heliographic radial distance of 0.1 AU. By using different values for the perpendicular proton mean free path, we study how cross-field diffusion may affect the energetic particle spread and intensity profiles near a high-speed solar wind stream and a corotating interaction region (CIR). We find that both a strong cross-field diffusion and a solar wind rarefaction region are capable of dispersing SEPs efficiently, producing overall low particle intensities which can in some cases prevent the SEPs from being detected in-situ, since their intensity may drop below the detected preevent intensity levels. We also discuss how accelerated particle populations form on the reverse and forward shock waves, separated by the stream interface inside the CIR. Under strong levels of cross-field diffusion, particles cross the SI and hence both accelerated particle populations merge together.
Common Fate for Animated Transitions in Visualization

The Law of Common Fate from Gestalt psychology states that visual objects moving with the same velocity along parallel trajectories will be perceived by a human observer as grouped. However, the concept of common fate is much broader than mere velocity; in this paper we explore how common fate results from coordinated changes in luminance and size. We present results from a crowdsourced graphical perception study where we asked workers to make perceptual judgments on a series of trials involving four graphical objects under the influence of conflicting static and dynamic visual factors (position, size and luminance) used in conjunction. Our results yield the following rankings for visual grouping: motion > (dynamic luminance, size, luminance); dynamic size > (dynamic luminance, position); and dynamic luminance > size. We also conducted a follow-up experiment to evaluate the three dynamic visual factors in a more ecologically valid setting, using both a Gapminder-like animated scatterplot and a thematic map of election data. The results indicate that in practice the relative grouping strengths of these factors may depend on various parameters including the visualization characteristics and the underlying data. We discuss design implications for animated transitions in data visualization.
Set-Based Models for Cryptocurrency Software

Formal methods (FM) are mathematics-based software development methods aimed at producing ``code for a nuclear power reactor''. That is, due application of FM can produce bug-free, zero-defect, correct-by-construction, guaranteed, certified software. However, the software industry seldom use FM. One of the main reasons for such a situation is that there exists the perception (which might well be a fact) that FM increase software costs. On the other hand, FM can be partially applied thus producing high-quality software, although not necessarily bug-free. In this paper we outline some FM related techniques whose application the cryptocurrency community should take into consideration because they could bridge the gap between ``loose web code'' and ``code for a nuclear power reactor''. We include relevant case studies in the area of cryptocurrency.
Effects of embedding a problem-posing-based learning guiding strategy into interactive e-books on students’ learning performance and higher order thinking tendency

ABSTRACT Owing to the popularity of tablet computers and smart phones, e-books have become an important medium for both formal and informal learning. However, conventional e-books are mainly designed to provide information in the form of multimedia, implying that students spend most of their time memorizing and comprehending what they read from e-books, while seldom engaging in higher order thinking. In this study, a problem-posing framework is proposed for developing an interactive e-book for guiding students to observe and pose questions. An experiment on an elementary school natural science course was conducted to demonstrate the effectiveness of the proposed approach. The participants were 46 fourth-grade students. From the experimental results, it was found that the problem-posing-guiding interactive e-book can significantly improve the students’ learning achievements, critical thinking tendency, and deep motive. It was also found that the proposed approach did not increase the students’ cognitive load owing to the provision of proper supports during the problem-posing process, which has generally been identified as a challenging task.
Pothole Detection Based on Disparity Transformation and Road Surface Modeling

Pothole detection is one of the most important tasks for road maintenance. Computer vision approaches are generally based on either 2D road image analysis or 3D road surface modeling. However, these two categories are always used independently. Furthermore, the pothole detection accuracy is still far from satisfactory. Therefore, in this paper, we present a robust pothole detection algorithm that is both accurate and computationally efficient. A dense disparity map is first transformed to better distinguish between damaged and undamaged road areas. To achieve greater disparity transformation efficiency, golden section search and dynamic programming are utilized to estimate the transformation parameters. Otsu’s thresholding method is then used to extract potential undamaged road areas from the transformed disparity map. The disparities in the extracted areas are modeled by a quadratic surface using least squares fitting. To improve disparity map modeling robustness, the surface normal is also integrated into the surface modeling process. Furthermore, random sample consensus is utilized to reduce the effects caused by outliers. By comparing the difference between the actual and modeled disparity maps, the potholes can be detected accurately. Finally, the point clouds of the detected potholes are extracted from the reconstructed 3D road surface. The experimental results show that the successful detection accuracy of the proposed system is around 98.7% and the overall pixel-level accuracy is approximately 99.6%.
Determinant role of size-dependent electron relaxation processes in the nonlinear luminescence emission of resonantly excited gold nanorods.

The two-photon luminescence (TPL) of gold nanoparticles (NP) was shown to result from the excitation of hot carriers, the plasmonic NP resonances playing an important role both for plasmon enhanced absorption and plasmon enhanced emission. However, the exact parameters enabling to control or optimize the NP nonlinear luminescence still need to be understood in detail. In this paper, we report the two-photon excited photoluminescence of single gold nanorods exhibiting identical aspect ratio (close to 4) and thus identical plasmonic resonances, but increasing volumes V (707 <V< 160 103 nm3 i.e. rod diameters varying between 6 and 40 nm). The two-photon luminescence intensity of a high number of colloidal nanorods was investigated at the single object level, combining polarization resolved TPL and simultaneously acquired topography. Non-monotonic TPL variations are evidenced, nanorods with an intermediate size (diameter around 10 nanometers) exhibiting the highest TPL signal intensity. A model is proposed considering both the local field enhancement effects at the NP and the size-dependent electron thermalization processes. BEM (Boundary Elements Method) simulations are used to compute the fields at both the transverse and longitudinal plasmon resonance. A good fitting of the experimental data is obtained considering integration of the fields over the whole the NP volume.
SIXTE: a generic X-ray instrument simulation toolkit

We give an overview of the SImulation of X-ray TElescopes (SIXTE) software package, a generic, mission-independent Monte Carlo simulation toolkit for X-ray astronomical instrumentation. The package is based on a modular approach for the source definition, the description of the optics, and the detector type such that new missions can be easily implemented. The targets to be simulated are stored in a flexible input format called SIMPUT. Based on this source definition, a sample of photons is produced and then propagated through the optics. In order to model the detection process, the software toolkit contains modules for various detector types, ranging from proportional counter and Si-based detectors, to more complex descriptions like transition edge sensor (TES) devices. The implementation of characteristic detector effects and a detailed modeling of the read-out process allow for representative simulations and therefore enable the analysis of characteristic features, such as for example pile-up, and their impact on observations. We present an overview of the implementation of SIXTE from the input source, the imaging, and the detection process, highlighting the modular approach taken by the SIXTE software package. In order to demonstrate the capabilities of the simulation software, we present a selection of representative applications, including the all-sky survey of eROSITA and a study of pile-up effects comparing the currently operating XMM-Newton with the planned Athena-WFI instrument. A simulation of a galaxy cluster with the Athena-X-IFU shows the capability of SIXTE to predict the expected performance of an observation for a complex source with a spatially varying spectrum and our current knowledge of the future instrument.
Phase transition and electronic structure investigation of MoS2-reduced graphene oxide nanocomposite decorated with Au nanoparticles

In this work a simple approach to transform MoS2 from its metallic (1T′ to semiconductor 2H) character via gold nanoparticle surface decoration of a MoS2 reduced graphene oxide (rGO) nanocomposite is proposed. The possible mechanism to this phase transformation was investigated using different spectroscopy techniques, and supported by density functional theory theoretical calculations. A mixture of the 1T′- and 2H-MoS2 phases was observed from the Raman and Mo 3d high resolution x-ray photoelectron spectra analysis in the MoS2-rGO nanocomposite. After surface decoration with gold nanoparticles the concentration of the 1T′ phase decreases making evident a phase transformation. According to Raman and valence band spectra analyzes, the Au nanoparticles (NPs) induce a p-type doping in MoS2-rGO nanocomposite. We proposed as a main mechanism to the MoS2 phase transformation the electron transfer from Mo 4dxy,xz,yz in 1T′ phase to AuNPs conduction band. At the same time, the unoccupied electronic structure was investigated from S K-edge near edge x-ray absorption fine structure spectroscopy. Finally, the electronic coupling between unoccupied electronic states was investigated by the core hole clock approach using resonant Auger spectroscopy, showing that AuNPs affect mainly the MoS2 electronic states close to Fermi level.
A hyper-runaway white dwarf in Gaia DR2 as a Type Iax supernova primary remnant candidate

Observations of stellar remnants linked to Type Ia and Type Iax supernovae are necessary to fully understand their progenitors. Multiple progenitor scenarios predict a population of kicked donor remnants and partially burnt primary remnants, both moving with relatively high velocity. But only a handful of examples consistent with these two predicted populations have been observed. Here we report the likely first known example of an unbound white dwarf that is consistent with being the fully cooled primary remnant to a Type Iax supernova. The candidate, LP 93-21, is travelling with a galactocentric velocity of $v_{\textrm {gal}} \simeq 605\, {\rm km}\, {\rm s}^{-1}$, and is gravitationally unbound to the Milky Way. We rule out an extragalactic origin. The Type Iax supernova ejection scenario is consistent with its peculiar unbound trajectory, given anomalous elemental abundances are detected in its photosphere via spectroscopic follow-up. This discovery reflects recent models that suggest stellar ejections likely occur often. Unfortunately the intrinsic faintness of white dwarfs, and the uncertainty associated with their direct progenitor systems, makes it difficult to detect and confirm such donors.