District-Created Response to Intervention in High School Mathematics: a Program Evaluation Integrating Social Cognitive Theory

The purpose of this dissertation was to investigate the effectiveness of students\u27 daily participation in a supplementary high school mathematics class, a Math Lab, as an intervention in mathematics. The study was conducted using three components that integrated Albert Bandura\u27s social cognitive learning theory about the reciprocal causality of personal, environmental, and behavioral elements of the learning process. Math Lab students were given adapted portions of the Motivated Strategies for Learning Questionnaire, MSLQ, of Pintrich et al. (as cited in Opdecam, Everaert, VanKeer, & Buysschaert, 2013) and a researcher-created survey. The math portion of the Measures of Academic Progress assessment was used to collect achievement data. The Math Lab was most effective for one year in Algebra I. Poverty and the primary ethnicity of the student affect the learning process in this intervention. Resource management was the only MSLQ subscale linked significantly to academic achievement. Students that take more than one year of a Math Lab were less motivated and less confident in their ability to utilize learning strategies in mathematics. Results showed the following high-quality instructional practices were the most influential on academic progress in mathematics: the use of hands-on materials, vocabulary techniques, providing appropriate levels of challenge, providing cumulative reviews, and personalized practice. When deciding how to best group students in the Math Lab teachers should chose the students\u27 partners for them, allow them to work alone, or create small groups of three to five students. Students should not be allowed to choose their own partners

Failure to account for behavioral variability significantly compromises accuracy in indirect population monitoring (advance online)

Abstract Indirect wildlife population surveying largely depends upon counts of artifacts of behavior (e.g., nests or dung). Likelihood to encounter these artifacts is derived from both artifact production and decay, and variability in production behavior is considered to contribute minimally to inaccuracy in wildlife estimation. Here, we demonstrate how ignoring behavioral variability leads to significant population misestimation, using an example of an endangered ape, the bonobo (Pan paniscus). Until now, a single estimate of nest construction rate has been used to extrapolate bonobo densities, assumed to be broadly representative of bonobo sign production behavior. We estimated nest construction rates across seasons and social groups at the Kokolopori Bonobo Reserve, Democratic Republic of the Congo, and find nest construction rates in bonobos to be highly variable across populations as well as seasonal within populations. Failure to account for this variability led to degradation in the accuracy of bonobo population density estimates, accounting for a likely overestimation of bonobo numbers by 34%, and at worst as high as 80%. With this example, we demonstrate that failure to account for inter- and intrapopulation behavioral variation compromises the ability to estimate both relative and absolute wildlife abundances. We argue that variation in sign production is but one of the several potential ways that behavioral variability can affect conservation monitoring, should be measured across contexts whenever possible, and must be considered in population estimation confidence intervals. With increasing attention to behavioral variability as a potential tool for conservation, conservationists must also account for the impact that behavioral variability can have upon wildlife population estimation. Our results underline the importance of observational research to wildlife monitoring schemes as a critical component of conservation management. We discuss the avenues through which behavioral variability is likely to impact wildlife monitoring accuracy and precision and propose potential approaches for accounting for behavioral variability in wildlife monitoring

Novel thin film polymer foaming technique for low and ultra low-k dielectrics

The results presented show a novel route for the preparation of thin ultra-low-k polymer films based on commercial and "non-exotic" (non-expensive) polyimide by a foaming technique. Dependent on the glass transition temperature of the polyimide mechanically and thermally stable (> 300 °C) films having porosities of ca. 40 % and k-values below 2.0 are formed. A further reduction into the ultra low k region may be accomplished by tailoring the shape of the pores from spherical into disc-like void

Persistent Emotional Extremes and Video Relay Service Interpreters

This mixed methods study explored how call content emotionally affects video interpreters (VIs) who work in Video Relay Service (VRS) and how this influences perceptions of job satisfaction and general well-being. The participants included 889 self-reported VIs who completed a survey containing open and closed-ended questions regarding their work. Whereas VRS call content can be extremely emotional for the non-deaf and deaf callers, whether positive or negative, the study seeks to identify a spectrum of coping strategies to perceived stressors brought about by these emotionally charged incidents. The study examined the frequency of these types of calls processed by the VI as well as information regarding coping methods the VIs utilized pre, during and post VRS call utilizing a constant comparison technique. The researchers found that interpreters who work in this setting experience emotional extremes that may influence longevity in the field. VIs are resourceful in their coping strategies which include debriefing, breaks, exercise and positive self-talk and reflection. Efficacy of coping strategies requires further study in a VRS setting. Suggestions for future studies focusing on VRS are recommended

Preliminary Study on the Application of Temperature Swing Adsorption in Aqueous Phase for Pesticide Removal

Temperature swing adsorption (TSA) is a well-established process for gas purification. In this work, the feasibility of TSA in aqueous phase was studied. This concept could enable in situ adsorbent regeneration and thus fostering sustainable decentralized adsorption processes applied to water treatment. The adsorption processes with the use of granular activated carbon (GAC) have been widely applied to remove the residual amounts of pesticides in water treatment. Amitrole was chosen as a typical pesticide in this study, GAC was selected as the main adsorbent for amitrole removal. Adsorption isotherm experiments were conducted at different temperatures of 20°C, 57°C and 94°C to identify the most appropriate sorptive – sorbent system for dynamic adsorption and TSA research. Once the isotherm experiments were accomplished, breakthrough curve experiments were subsequently investigated. Finally, TSA process was conducted with the activated carbon regeneration at the elevated temperature of 125°C. Consequently, initial obtained results proved the feasibility of the proposed TSA technique for pesticide removal in aqueous phase

Influence of Pyrolysis Parameters on the Performance of CMSM

Carbon hollow fiber membranes have been prepared by pyrolysis of a P84/S-PEEK blend. Proximate analysis of the precursor was performed using thermogravimetry (TGA), and a carbon yield of approximately 40% can be obtained. This study aimed at understanding the influence of pyrolysis parameters—end temperature, quenching effect, and soaking time—on the membrane properties. Permeation experiments were performed with N2, He, and CO2. Scanning electron microscopy (SEM) has been done for all carbon hollow fibers. The highest permeances were obtained for the membrane submitted to an end temperature of 750°C and the highest ideal selectivities for an end temperature of 700°C. In both cases, the membranes were quenched to room temperatur

Phase change material for temperature control and material storage

A phase change material comprising a mixture of water and deuterium oxide is described, wherein the mole fraction of deuterium oxide is selected so that the mixture has a selected phase change temperature within a range between 0.degree. C. and 4.degree. C. The mixture is placed in a container and used for passive storage and transport of biomaterials and other temperature sensitive materials. Gels, nucleating agents, freezing point depression materials and colorants may be added to enhance the characteristics of the mixture

Modelling the permeability of polymers: a neural network approach

In this short communication, the prediction of the permeability of carbon dioxide through different polymers using a neural network is studied. A neural network is a numeric-mathematical construction that can model complex non-linear relationships. Here it is used to correlate the IR spectrum of a polymer to its permeability. The underlying assumption is that the chemical information hidden in the IR spectrum is sufficient for the prediction. The best neural network investigated so far does indeed show predictive capabilities

Quantifying effective slip length over micropatterned hydrophobic surfaces

We employ micro-particle image velocimetry ($\mu$-PIV) to investigate laminar micro-flows in hydrophobic microstructured channels, in particular the slip length. These microchannels consist of longitudinal micro-grooves, which can trap air and prompt a shear-free boundary condition and thus slippage enhancement. Our measurements reveal an increase of the slip length when the width of the micro-grooves is enlarged. The result of the slip length is smaller than the analytical prediction by Philip et al. [1] for an infinitely large and textured channel comprised of alternating shear-free and no-slip boundary conditions. The smaller slip length (as compared to the prediction) can be attributed to the confinement of the microchannel and the bending of the meniscus (liquid-gas interface). Our experimental studies suggest that the curvature of the meniscus plays an important role in microflows over hydrophobic micro-ridges.Comment: 8 page

Impregnated membranes for direct methanol fuel cells at high methanol concentrations

Sulfonated poly(phthalazinone ether ketone) (SPPEK) impregnated Solupor® microporous film (SPPEK–PE) and pure SPPEK membranes with two different ion-exchange capacities (IECs) were prepared and characterized for use in DMFC applications. Swelling, proton conductivity, diffusion and DMFC experiments were performed at various methanol concentrations to understand the effect of impregnation of an ion-conductive polymer membrane to the fuel cell performance.\ud \ud Impregnating SPPEK into PE decreases swelling degree and methanol permeability of the membranes, but at the same time the proton conductivity. Unlike perfluorinated membranes, SPPEK–PE shows an increase in its DMFC performance at high methanol concentration and that makes it more attractive for mobile DMFC applications where high methanol concentrations are needed to compete with Li-ion batteries