Exploring the value of trust between teams of special education teachers and paraprofessionals

This phenomenological study explores the value of trust between teams of special education teachers and paraprofessionals. The study delves into their lived experiences, focusing on characteristics and behaviors that build, sustain, destroy and restore trust between them. There are multiple studies on trust in education, however, there is relatively little literature published on the value of trust among individuals committed to providing support for transition-aged students within various Los Angeles County school districts. Existing theories and models on trust have similar characteristics that span across diverse industries. As a result, clear-cut guidelines have enabled members of a team to be aware of how trust impacts their working environment. Purposive sampling provided teams of special education professionals who possessed a depth of knowledge of the subject matter and experience in the classroom. Individual face-to-face, semi-structured interviews were conducted with 12 participants focusing on how they make meaning of the role and value of trust with their special education colleagues. As a result, 165 coded passages were grouped into the following nine themes: (a) characteristics of a trustworthy colleague, (b) importance of trust, (c) outcome of trust, (d) outcome of a lack of trust, (e) building trust, (f) sustaining trust, (g) destroying trust and (h) restoring trust. Two study conclusions emerged. Conclusion one, trust increases communication, respect and collaboration between special education colleagues, as well as enhances student success. Conclusion two, a lack of trust negatively impacts the special education environment, as well as relevant stakeholders, which include: students, parents, special education teachers, paraprofessionals and administrators. Recommendations include participation in team development trainings, as well as personal and professional development that focus on acquiring the characteristics of a trustworthy colleague. Additionally, special education professionals benefit from establishing a shared primary focus of student success. Moreover, the onus of setting the tone of trust falls on the special education teacher. Lastly, special education professionals should relinquish the characteristics that diminish trust. This study provides researchers and professionals in the field of special education with insight into the tools needed to have better working relationships so that they can effectively serve special needs students

On the electrical properties of transparent electrodes

In this paper we present the electrical properties of the typical transparent electrodes (ITO, AZO, IZO, FTO, PEDOT:PSS, etc.) prepared by different methods such as: spray pyrolysis, sputtering, sol-gel, thermal oxidation, PLD, etc. The modifications of electrical properties of electrodes during the sun exposure of the devices may explain some of problems arising in the I-V characterization of third-generation solar cells. The electrical resistivity stability of transparent electrode thin films as a function of the temperature is analysed in detail

The numerical solution of forward–backward differential equations: Decomposition and related issues

NOTICE: this is the author’s version of a work that was accepted for publication in Journal of computational and applied mathematics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of computational and applied mathematics, 234,(2010), doi: 10.1016/j.cam.2010.01.039This journal article discusses the decomposition, by numerical methods, of solutions to mixed-type functional differential equations (MFDEs) into sums of “forward” solutions and “backward” solutions

A Calibrated Time Domain Envelope Measurement System for the Behavioral Modeling of Power Amplifiers

This paper presents a set-up which enables the generation and the calibrated time domain measurements of complex envelopes of modulated signals at both ports of non linear microwave power amplifiers. The architecture of the characterization tool is given. Examples of error corrected time domain envelopes at the input / output RF ports of a 36 dBm output power – 30dB power gain L-band SSPA are shown. Futhermore, the use of this characterization tool and a suitable processing of measurement data are applied to a novel measurement based behavioral modeling approach of non linear devices accounting for memory effects

Molecular and behavioural evidence for gene flow between host races of the larch budmoth Zeiraphera diniana

Larch and pine associated populations of Zeiraphera diniana (Lepidoptera: Tortricidae) differ in a number of heritable traits, but pheromone-mediated cross-attraction occurs between them in the wild. Using a quartet mate choice design (one male and one female of each type per cage) we estimate that, following cross-attraction by pheromones, the subsequent probability of hybridization is approximately 28%. We also examined molecular data, and were unable to distinguish between the races on the basis of 695bp of mitochondrial COI, tRNA-leucine, and COII gene sequence. Both results support earlier field studies suggesting that larch- and pine-feeding populations are host races that hybridize at an appreciable level in the wild. The shared mitochondrial haplotypes we observed are also consistent with ongoing and successful gene flow between the two host races

Viriato: a Fourier-Hermite spectral code for strongly magnetised fluid-kinetic plasma dynamics

We report on the algorithms and numerical methods used in Viriato, a novel fluid-kinetic code that solves two distinct sets of equations: (i) the Kinetic Reduced Electron Heating Model (KREHM) equations [Zocco & Schekochihin, Phys. Plasmas 18, 102309 (2011)] (which reduce to the standard Reduced-MHD equations in the appropriate limit) and (ii) the kinetic reduced MHD (KRMHD) equations [Schekochihin et al., Astrophys. J. Suppl. 182:310 (2009)]. Two main applications of these equations are magnetised (Alfvenic) plasma turbulence and magnetic reconnection. Viriato uses operator splitting (Strang or Godunov) to separate the dynamics parallel and perpendicular to the ambient magnetic field (assumed strong). Along the magnetic field, Viriato allows for either a second-order accurate MacCormack method or, for higher accuracy, a spectral-like scheme composed of the combination of a total variation diminishing (TVD) third order Runge-Kutta method for the time derivative with a 7th order upwind scheme for the fluxes. Perpendicular to the field Viriato is pseudo-spectral, and the time integration is performed by means of an iterative predictor-corrector scheme. In addition, a distinctive feature of Viriato is its spectral representation of the parallel velocity-space dependence, achieved by means of a Hermite representation of the perturbed distribution function. A series of linear and nonlinear benchmarks and tests are presented, including a detailed analysis of 2D and 3D Orszag-Tang-type decaying turbulence, both in fluid and kinetic regimes.Comment: 42 pages, 15 figures, submitted to J. Comp. Phy

Semantic 3D scene interpretation: A framework combining optimal neighborhood size selection with relevant features

3D scene analysis by automatically assigning 3D points a semantic label has become an issue of major interest in recent years. Whereas the tasks of feature extraction and classification have been in the focus of research, the idea of using only relevant and more distinctive features extracted from optimal 3D neighborhoods has only rarely been addressed in 3D lidar data processing. In this paper, we focus on the interleaved issue of extracting relevant, but not redundant features and increasing their distinctiveness by considering the respective optimal 3D neighborhood of each individual 3D point. We present a new, fully automatic and versatile framework consisting of four successive steps: (i) optimal neighborhood size selection, (ii) feature extraction, (iii) feature selection, and (iv) classification. In a detailed evaluation which involves 5 different neighborhood definitions, 21 features, 6 approaches for feature subset selection and 2 different classifiers, we demonstrate that optimal neighborhoods for individual 3D points significantly improve the results of scene interpretation and that the selection of adequate feature subsets may even further increase the quality of the derived results

Quantum Heating of a nonlinear resonator probed by a superconducting qubit

We measure the quantum fluctuations of a pumped nonlinear resonator, using a superconducting artificial atom as an in-situ probe. The qubit excitation spectrum gives access to the frequency and temperature of the intracavity field fluctuations. These are found to be in agreement with theoretical predictions; in particular we experimentally observe the phenomenon of quantum heating

Tropical polyhedra are equivalent to mean payoff games

We show that several decision problems originating from max-plus or tropical convexity are equivalent to zero-sum two player game problems. In particular, we set up an equivalence between the external representation of tropical convex sets and zero-sum stochastic games, in which tropical polyhedra correspond to deterministic games with finite action spaces. Then, we show that the winning initial positions can be determined from the associated tropical polyhedron. We obtain as a corollary a game theoretical proof of the fact that the tropical rank of a matrix, defined as the maximal size of a submatrix for which the optimal assignment problem has a unique solution, coincides with the maximal number of rows (or columns) of the matrix which are linearly independent in the tropical sense. Our proofs rely on techniques from non-linear Perron-Frobenius theory.Comment: 28 pages, 5 figures; v2: updated references, added background materials and illustrations; v3: minor improvements, references update

Entrepreneurial orientation and firm performance in the context of upper echelon theory.

Entrepreneurial Orientation (EO) is a firm-level phenomenon, which involves the firm’s prospects to take risks, be proactive, and be innovative. Most of the research assumes a positive EO-performance relationship adopting the EO-as-advantage perspective without providing enough theoretical foundations of the way EO enhances performance. This paper provides insights into the EO and firm performance relationship looking into the EO-as-experimentation perspective. Through EO-as-experimentation perspective, we argue for the importance of looking into the differential effects of each of the EO dimensions on firm performance in active and inactive firms. We hypothesized that the effect of each of the proactiveness and innovativeness dimension of EO on firm performance is positive among active firms and negative among inactive firms. Whereas risk taking dimension of EO is negative among active and inactive firms. Based on the results of firm fixed effect regression some empirical support for the hypotheses is presented and discussed