13 research outputs found

    Teaching English Pragmatics by Taking a Sociocultural Stance

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    This study investigated the effects of sociocultural instruction on developing the speech act of criticizing. The participants were second language learners in two English learning classrooms as experimental and control groups. The participants in the experimental group operated under the basic principles of the socio-cultural approach with interactive tasks, cooperation, and scaffolding. They were asked to read and criticize a peer’s work orally. For this group, the teacher provided fined tuned instruction and mediated individual tutor feedback. For both the experimental and control groups, the learners’ pragmatic development was measured through pre-tests, immediate and delayed posttests performance of discourse completion and role-play tests. The researchers analyzed the results of tests through statistical procedures such as paired and independent t-tests. The results revealed that the experimental group significantly improved and performed better than the control group, indicating the successfulness of sociocultural instruction. Next, the researchers interviewed the participants to find about their feelings. After interviewing the participants, the researchers found positive feelings of learners about this kind of instruction including low degrees of stress, high levels of excitement, fun, motivation, and clarity that provided another evidence for worthwhile impacts of sociocultural instruction.   ===================================================================================== COPYRIGHTS  ©2019 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.  ====================================================================================

    Discovery of large genomic inversions using long range information

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    Background: Although many algorithms are now available that aim to characterize different classes of structural variation, discovery of balanced rearrangements such as inversions remains an open problem. This is mainly due to the fact that breakpoints of such events typically lie within segmental duplications or common repeats, which reduces the mappability of short reads. The algorithms developed within the 1000 Genomes Project to identify inversions are limited to relatively short inversions, and there are currently no available algorithms to discover large inversions using high throughput sequencing technologies. Results: Here we propose a novel algorithm, Valor, to discover large inversions using new sequencing methods that provide long range information such as 10X Genomics linked-read sequencing, pooled clone sequencing, or other similar technologies that we commonly refer to as long range sequencing. We demonstrate the utility of Valor using both pooled clone sequencing and 10X Genomics linked-read sequencing generated from the genome of an individual from the HapMap project (NA12878). We also provide a comprehensive comparison of Valor against several state-of-the-art structural variation discovery algorithms that use whole genome shotgun sequencing data. Conclusions: In this paper, we show that Valor is able to accurately discover all previously identified and experimentally validated large inversions in the same genome with a low false discovery rate. Using Valor, we also predicted a novel inversion, which we validated using fluorescent in situ hybridization. Valor is available at https://github.com/BilkentCompGen/Valor. © 2017 The Author(s)

    Methodology for the modelling of thermally activated building components in low exergy design

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    There is still an obvious and indisputable need for an increase in the efficiency of energy utilisation in buildings. Heating, cooling and lighting appliances in buildings account for more than one third of the world’s primary energy demand and there are great potentials, which can be obtained through better applications of the energy use in buildings. This thesis focuses on the development of methods and models for heat and mass transfer processes in buildings, which have a vital impact on the energy utilisation. These models can be used in optimisation procedures aiming at increasing efficiency in the energy use, i.e. at minimising consumption of the necessarily supplied high quality energy, i.e. exergy, in buildings. Through the use of the method of analysing exergy flows in buildings, similar to the analysis applied on other thermodynamic systems, such as power stations, it is possible to identify the potential of increased efficiency in energy utilisation. It has been shown that calculations based on the energy conservation and primary energy concept alone are inadequate for gaining a full understanding of all important aspects of energy utilisation processes. Thus, a method for exergy analyses, based on a combination of the first and second laws of thermodynamics, is presented and an assessment tool has been developed for a better understanding and design of energy flows in buildings. Ventilation heat losses account for a significant fraction of the overall heating energy use in buildings. The implementation of natural ventilation strategies allows for the possibility of supplying indoor space with the required fresh air volume, without any fan power. Because of the ability to create high air flows, the use of natural ventilation can be beneficial to for night cooling processes. All in all, it is important to estimate the expected air flow rates during the design and planning stage of a building. That is why a model, based on earlier published works on single sided natural ventilation on tilting windows, has been developed for natural cross ventilation conditions with tilting windows. There are also building service system solutions which can help to reduce exergy consumption caused by the heating and cooling of rooms. The thermally activated building components are examples of these systems; they use very low temperature differences between the heat carrier medium and the room to be tempered. Earlier derived models of such systems are not always satisfactory for the design of all system configuration or new regulation strategies. The developed macro element modelling (MEM) approach is based on research conducted on the modelling of dynamic heat flows in solid constructions with discrete resistances and capacitances. In this work, it has been expanded by the simultaneous modelling of heat carrier flows and used on the thermally activated components. A methodology for modelling thermally activated components has been developed and verified. Optimised resistance-capacitance (RC) networks combined to so-called macro elements are used to model the solid parts of the system, the fluid temperatures are calculated under the precondition of a linear variation of mass node temperature between the calculation nodes. It has been demonstrated and verified that the MEM method is generally suitable for modelling the dynamic behaviour of combined systems with a heat carrier flow and solid construction parts with substantial heat storage capacity
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