Miracle-dz/UniFAR-FTUs huggingface dataset:
A SELF-REFLECTION IN DEVELOPING TEACHING PERFORMANCE AT THE CLASSROOM FOR ENGLISH FOREIGN LANGUAGE (EFL) TEACHERS

This paper deals with a topic self-reflection in developing teaching performance. Self-reflection is a vital skill to reflect and evaluate teachers’ teaching performance in the classroom. However, there are many teachers running monotonous classes because they do not make a self-reflection. This consideration explores teachers’ strengths and weaknesses in learning process. This research will help the teachers to maintain or eliminate critical incident on learning and teaching process. This research had been conducted at English Education Department, University of Muhammadiyah Yogyakarta. The respondents consist of some English Foreign Language (EFL) teachers. This research used qualitative research design. Then the researcher used interview as a research instrument to elaborate the information. The data becomes the parameter whether the respon-dents give agreements or disagreements to the case in using self-reflection. Considering the reasons above, the researcher makes an implication that self-reflection can be a good method for EFL teachers. The finding reveals that teachers who use self-reflection get better ways on how to explore well performance in the class-room. Writing journal is a kind of reflective language teaching that has been employed to enhance teachers’ skill in teaching. Therefore, self-reflection is also to engage systematic reflection on teaching. Keywords: Self-Reflection, Professional Development, Teaching Performance, Teaching Reflective
Performance Results for Analytic Models of Traac in Telecommunication Systems, Based on Multiple On-off Sources with Self-similar Behavior

A class of stochastic point processes, called N-Burst models, is introduced that describe traac in telecommunication systems as the superposition of up to N individual bursts. By using so called truncated Power-Tail distributions, exact results for performance parameters in analytic queueing models with self-similar arrival processes are derived and discussed in the second part of the paper. The observation of the mean Cell Delay and the Buuer Overrow Probability reveals distinct critical utilization values (blow-up points) at which both performance parameters radically increase when self-similar properties of the cell stream are involved. The cell-rate during the individual bursts has major impact: In the limits for very large or very low cell-rates, approximate models deliver adequate results. In real life however, network components are expected to operate in the intermediate region, where the blow-up points are contained. Thus, exact modeling on cell-level, as done in the N-Burst model, is shown to be essential.
Self-Sacrificial Leadership and Followers’ Affiliative and Challenging Citizenship Behaviors: A Relational Self-Concept Based Study in China

ABSTRACT Drawing from self-concept and implicit leadership theories, we propose a multilevel model to examine whether, why, and when self-sacrificial leadership motivates followers’ affiliative and challenging citizenship behaviors in China. Data from 329 full-time employees in 83 work groups provide support for the hypothesized model. Specifically, we demonstrated that self-sacrificial leadership was positively related to followers’ relational self-concept constructs of leader identification and leader-based self-esteem, which had differential, downstream implications for followers’ two types of citizenship behavior. Whereas leader identification was found to mediate the positive relationship between self-sacrificial leadership and affiliative citizenship behavior only, leader-based self-esteem mediated the positive relationships of self-sacrificial leadership with both affiliative and challenging citizenship behaviors. We further demonstrated individual power distance orientation as a significant cultural contingency in the above mediation relationships, which were found to exist among followers with low rather than high power distance orientations. We conclude by discussing the theoretical and practical implications of these findings.
Extension of a result by Moreau on stability of leaderless multi-agent systems.

The paper presents a result which relates connectedness of the interaction graphs in a multi-agent systems with the capability for global convergence to a common equilibrium of the system. In particular we extend a previously known result by Moreau by including the possibility of arbitrary bounded time-delays in the communication channels and relaxing the convexity of the allowed regions for the state transition map of each agent.
Persistence of the uncanny valley: the influence of repeated interactions and a robot's attitude on its perception

The uncanny valley theory proposed by Mori has been heavily investigated in the recent years by researchers from various fields. However, the videos and images used in these studies did not permit any human interaction with the uncanny objects. Therefore, in the field of human-robot interaction it is still unclear what, if any, impact an uncanny-looking robot will have in the context of an interaction. In this paper we describe an exploratory empirical study using a live interaction paradigm that involved repeated interactions with robots that differed in embodiment and their attitude toward a human. We found that both investigated components of the uncanniness (likeability and eeriness) can be affected by an interaction with a robot. Likeability of a robot was mainly affected by its attitude and this effect was especially prominent for a machine-like robot. On the other hand, merely repeating interactions was sufficient to reduce eeriness irrespective of a robot's embodiment. As a result we urge other researchers to investigate Mori's theory in studies that involve actual human-robot interaction in order to fully understand the changing nature of this phenomenon.
Characteristic initial data for a star orbiting a black hole

We take further steps in the development of the characteristic approach to enable handling the physical problem of a compact self-gravitating object, such as a neutron star, in close orbit around a black hole. We examine different options for setting the initial data for this problem and, in order to shed light on their physical relevance, we carry out short time evolution of this data. To this end we express the matter part of the characteristic gravity code so that the hydrodynamics are in conservation form. The resulting gravity plus matter relativity code provides a starting point for more refined future efforts at longer term evolution. In the present work we find that, independently of the details of the initial gravitational data, the system quickly flushes out spurious gravitational radiation and relaxes to a quasiequilibrium state with an approximate helical symmetry corresponding to the circular orbit of the star.
Coverage Based Testing with Test Purposes

Test purposes have been presented as a solution to avoid the state space explosion when selecting test cases from formal models. Although such techniques work very well with regard to the speed of the test derivation, they leave the tester with one important task that influences the quality of the overall testing process: Test purposes have to be formulated manually. In this paper, we present an approach that assists a test engineer with test purpose design in two ways: It allows automatic generation of coverage based test suites and can be used to automatically exercise those aspects of the system that manually test purposes missed. We consider coverage of LOTOS specifications, and show how labeled transition systems derived from such specifications have to be extended in order to allow the application of logical coverage criteria to LOTOS specifications. We then show how existing tools can be used to efficiently derive test cases and suggest how to use the coverage information to minimize test suites while generating them.
Unconstrained offline handwriting recognition using connectionist character N-grams

This work presents an unconstrained offline hand-written line recognition system based on hybrid HMM (Hidden Markov Model)/ANN (Artificial Neural Network) models. The particularity of the system lies in the use of an ensemble of connectionist/statistical character n-gram language models. These language models are trained with a text corpus at character level; therefore, no explicit lexicon is used during recognition. The recognizer is thus able to output words which do not belong to that corpus. The proposed system favorably behaves compared to using a standard character n-gram on the IAM database lines corpus and achieves error rates comparable to state-of-the-art lexicon-driven alternatives.
Please Scroll down for Article Visual Cognition Modulation of Reflexive Orienting to Gaze Direction by Facial Expressions

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Central limit theorems and diffusion approximations for multiscale Markov chain models

Ordinary differential equations obtained as limits of Markov processes appear in many settings. They may arise by scaling large systems, or by averaging rapidly fluctuating systems, or in systems involving multiple time-scales, by a combination of the two. Motivated by models with multiple time-scales arising in systems biology, we present a general approach to proving a central limit theorem capturing the fluctuations of the original model around the deterministic limit. The central limit theorem provides a method for deriving an appropriate diffusion (Langevin) approximation.
Influence of personality traits on Facebook engagement and their effects on socialization behavior and satisfaction with university life

ABSTRACT Several factors influence Facebook users’ engagement. This study investigates the correlations between Facebook engagement and users’ personality traits. This study also analyses the impact of Facebook engagement on students’ socialization behavior and their satisfaction with their university life. A dataset of 994 Malaysian students was collected and used for analysis. The outcome of the analysis illustrates that students’ personality traits have a positive influence on Facebook engagement. Subsequently, Facebook engagement was found to have an influence over students’ socialization behavior and their satisfaction with university life. The results can be used by educators as a guide for their curriculum development, i.e., consideration of wider usage of Facebook in conducting courses.
Code duplication in ROS launchfiles

The middleware for robotics ROS has become the de-facto standard for developing robot applications. Thanks to our experience using ROS we conjectured that the quality of code of ROS is low, yielding a poor user experience for ROS users and posing important barriers to robot software development. In this work we present a first quantification of code quality of the ROS ecosystem through an analysis of code duplication in launchfiles. Our experience led us to believe that these configuration files exhibit a significant amount of code duplication, and this study shows that it is indeed the case. We find that 25% of packages with multiple launchfiles have duplicated code, and that clones are highly similar.
Distribution of Melatonin MT1 Receptor Immunoreactivity in Human Retina

Melatonin is synthesized in the pineal gland and retina during the night. Retinal melatonin is believed to be involved in local cellular modulation and in regulation of light-induced entrainment of circadian rhythms. The present study provides the first immunohistochemical evidence for the localization of melatonin 1a-receptor (MT1) in human retina of aged subjects. Ganglion, amacrine, and photoreceptor cells expressed MT1. In addition, MT1 immunoreactivity was localized to cell processes in the inner plexiform layer and to central vessels of the retina, as well as to retinal vessels but not to ciliary or choroidal vessels. These results support a variety of cellular and vascular effects of melatonin in the human retina. Preliminary evidence from patients with Alzheimer's disease (AD) revealed increased MT1 immunoreactivity in ganglion and amacrine cells, as well as in vessels. In AD cases photoreceptor cells were degenerated and showed low MT1 expression.
Hamiltonian thermodynamics of black holes in generic 2D dilaton gravity

We consider the Hamiltonian mechanics and thermodynamics of an eternal black hole in a box of fixed radius and temperature in generic 2-D dilaton gravity. Imposing boundary conditions analoguous to those used by Louko and Whiting for spherically symmetric gravity, we find that the reduced Hamiltonian generically takes the form: $$ H(M,\phi_+) = \sigma_0 E(M,\phi_+) -{N_0\over 2\pi} S(M) $$ where $E(M,\phi_+)$ is the quasilocal energy of a black hole of mass $M$ inside a static box (surface of fixed dilaton field $\phi_+$) and $S(M)$ is the associated classical thermodynamical entropy. $\sigma_0$ and $N_0$ determine time evolution along the world line of the box and boosts at the bifurcation point, respectively. An ansatz for the quantum partition function is obtained by fixing $\sigma_0$ and $N_0$ and then tracing the operator $e^{-\beta H}$ over mass eigenstates. We analyze this partition function in some detail both generically and for the class of dilaton gravity theories that is obtained by dimensional reduction of Einstein gravity in n+2 dimensions with $S^n$ spherical symmetry.
Intracellular labeling and quantification process by magnetic resonance imaging using iron oxide magnetic nanoparticles in rat C6 glioma cell line.

OBJECTIVE To assess intracellular labeling and quantification by magnetic resonance imaging using iron oxide magnetic nanoparticles coated with biocompatible materials in rat C6 glioma cells in vitro. These methods will provide direction for future trials of tumor induction in vivo as well as possible magnetic hyperthermia applications. METHODS Aminosilane, dextran, polyvinyl alcohol, and starch-coated magnetic nanoparticles were used in the qualitative assessment of C6 cell labeling via light microscopy. The influence of the transfection agent poly-L-lysine on cellular uptake was examined. The quantification process was performed by relaxometry analysis in T1 and T2weighted phantom images. RESULTS Light microscopy revealed that the aminosilane-coated magnetic nanoparticles alone or complexed with poly-L-lysine showed higher cellular uptake than did the uncoated magnetic particles. The relaxivities of the aminosilane-coated magnetic nanoparticles with a hydrodynamic diameter of 50nm to a 3-T field were r1=(6.1±0.3)×10(-5) ms-1mL/µg, r2=(5.3±0.1)× 10(-4) ms(-1)mL/µg, with a ratio of r2 / r1 ≅ 9. The iron uptake in the cells was calculated by analyzing the relaxation rates (R1 and R2) using a mathematical relationship. CONCLUSIONS C6 glioma cells have a high uptake efficiency for aminosilane-coated magnetic nanoparticles complexed with the transfection agent poly-L-lysine. The large ratio r2 / r1 ≅ 9 indicates that these magnetic nanoparticles are ideal for quantification by magnetic resonance imaging with T2-weighted imaging techniques.
The $N$-point correlation functions of the COBE-DMR maps revisited

We calculate the two-, three- and (for the first time) four-point correlation functions of the COBE-DMR 4-year sky maps, and search for evidence of non-Gaussianity by comparing the data to Monte Carlo-simulations of the functions. The analysis is performed for the 53 and 90 GHz channels, and five linear combinations thereof. For each map, we simulate an ensemble of 10 000 Gaussian realizations based on an a priori best-fit scale-invariant cosmological power spectrum, the DMR beam pattern and instrument-specific noise properties. Each observed COBE-DMR map is compared to the ensemble using a simple 2 statistic, itself calibrated by simulations. In addition, under the assumption of Gaussian fluctuations, we find explicit expressions for the expected values of the four-point functions in terms of combinations of products of the two-point functions, then compare the observed four-point statistics to those predicted by the observed two-point function, using a redefined 2 statistic. Both tests accept the hypothesis that the DMR maps are consistent with Gaussian initial perturbations.
The dark matter distribution in disc galaxies

We use high-quality optical rotation curves of nine low-luminosity disc galaxies to obtain the velocity profiles of the surrounding dark matter haloes. We find that they increase linearly with radius at least out to the edge of the stellar disc, implying that, over the entire stellar region, the density of the dark halo is about constant. The properties of the mass structure of these haloes are similar to those found for a number of dwarf and low surface brightness galaxies, but provide a more substantial evidence of the discrepancy between the halo mass distribution predicted in the cold dark matter scenario and those actually detected around galaxies. We find that the density law proposed by Burkert reproduces the halo rotation curves, with halo central densities (ρ0∼1–4×10−24 g cm−3) and core radii (r0∼5–15 kpc) scaling as ρ0∝r0−2/3.
Overexpression of the Heterotrimeric G-Protein α-Subunit Enhances Phytochrome-Mediated Inhibition of Hypocotyl Elongation in Arabidopsis

Plant heterotrimeric G-proteins have been implicated in a number of signaling processes. However, most of these studies are based on biochemical or pharmacological approaches. To examine the role of heterotrimeric G-proteins in plant development, we generated transgenic Arabidopsis expressing the Gα subunit of the heterotrimeric G-protein under the control of a glucocorticoid-inducible promoter. With the conditional overexpression of either the wild type or a constitutively active version of Arabidopsis Gα, transgenic seedlings exhibited a hypersensitive response to light. This enhanced light sensitivity was more exaggerated in a relatively lower intensity of light and was observed in white light as well as far-red, red, and blue light conditions. The enhanced responses in far-red and red light required functional phytochrome A and phytochrome B, respectively. Furthermore, the response to far-red light depended on functional FHY1 but not on FIN219 and FHY3. This dependence on FHY1 indicates that the Arabidopsis Gα protein may act only on a discrete branch of the phytochrome A signaling pathway. Thus, our results support the involvement of a heterotrimeric G-protein in the light regulation of Arabidopsis seedling development.
Development and Validation of a Pilot Scale Enhanced Biosafety Level Two Containment for Performance Evaluation of Produce Disinfection Technologies

The development and validation of the Biosafety Level 2 (BSL-2) enhanced containment system located at the produce pilot plant facility of the U.S. Department of Agriculture—Eastern Regional Research Center is presented here. This multi-purpose containment is used to enclose pilot and pilot scale washing and sanitizing equipment for fruits and vegetables, or other decontamination equipment where aerosol generation is likely, and complete protection is required for researchers. This containment is operated under a negative pressure with all exhausted air (approximately eight containment air exchanges per hour) being passed in parallel through two hydrophobic HEPA filters. During operation, personnel are excluded from the containment, materials are introduced into and removed from the containment via pass-throughs, and equipment is operated via computer control and glove ports. At the completion of any series of processing trials, vegetative bacterial cells remaining within the containment, and in the processing water, are inactivated by raising the internal temperature of the containment, and all contents, including equipment, processing water and waste water to sufficiently inactivate all bacterial cells, except spore formers, using industrial steam at atmospheric pressure. We have demonstrated the feasibility and safety of conducting multiple trials using pathogenic bacteria with pilot scale processing equipment within the containment, and then inactivating surviving vegetative bacterial cells with the steam-in-place process. Furthermore, we validated pilot-scale surface pasteurization processing equipment capable of significantly reducing cell densities (in excess of 5 logs) of Salmonella on inoculated cantaloupes, using this BSL-2 enhanced containment system.
A set of benchmarks for modular testing of SOCs

This paper presents the ITC'02 SOC test benchmarks. The purpose of this new benchmark set is to stimulate research into new methods and tools for modular testing of SOCs and to enable the objective comparison of such methods and tools with respect to effectiveness and efficiency. The paper defines the benchmark format and naming scheme, and presents the benchmark SOCs. In addition, it provides an overview of the research problems that can be addressed and evaluated by means of this benchmark set. These research problems include the design of optimized test access infrastructures and test schedules.
Comparison-Induced Sequence Effects on Hedonic Evaluations

Hedonic evaluations and emotional reactions to experiences depend not only upon the conditions being experienced, but also upon the sequences in which conditions are experienced. The authors propose a comparison-induced distortion (CID) model of sequence effects on evaluation in which to-beevaluated exemplars are verbally compared (Choplin & Hummel, 2002; Choplin, 2007) to the most similar, recent exemplars. Predictions of this model were tested and pit against Helson’s (1964) adaptation-level theory, Parducci’s (1995) range-frequency theory, and Haubensak’s (1992) consistency model using a paradigm in which sequences periodically improved (i.e., improved for n trials, returned to the original state on a single trial, and improved for n trials again) or periodically deteriorated by small or large amounts. The results were consistent with the predictions of the proposed CID model of sequence effects and inconsistent with adaptation-level theory, range-frequency theory, and the
Determining optimal cadence for an individual road cyclist from field data

Abstract The cadence that maximises power output developed at the crank by an individual cyclist is conventionally determined using a laboratory test. The purpose of this study was two-fold: (i) to show that such a cadence, which we call the optimal cadence, can be determined using power output, heart-rate, and cadence measured in the field and (ii) to describe methodology to do so. For an individual cyclist's sessions, power output is related to cadence and the elicited heart-rate using a non-linear regression model. Optimal cadences are found for two riders (83 and 70 revolutions per minute, respectively); these cadences are similar to the riders’ preferred cadences (82–92 rpm and 65–75 rpm). Power output reduces by approximately 6% for cadences 20 rpm above or below optimum. Our methodology can be used by a rider to determine an optimal cadence without laboratory testing intervention: the rider will need to collect power output, heart-rate, and cadence measurements from training and racing sessions over an extended period (>6 months); ride at a range of cadences within those sessions; and calculate his/her optimal cadence using the methodology described or a software tool that implements it.