837 research outputs found

    The development of the reflective practitioner through digital storytelling

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    This paper presents a multiple case study on the use of digital storytelling to support the development of reflection and digital skills in professional education. Students from two universities, one group studying health and social care, the other training to be teachers, were asked to produce two artefacts, at the beginning and end of their respective modules, in which they reflected on the aspects of professional and personal learning. The artefacts, some of which were produced in groups, others by individual students, were analysed for recurring themes, levels of reflection and digital competence, particularly in the use of open educational resources. Findings from the analysis support the use of digital storytelling methods to develop a range of key skills pertinent to professional education in general but concluded that the deeper levels of reflection may be most evident in individual artefacts produced in the later stages of professional education. The study provides some important insights for teaching and learning in professional education as it suggests that digital storytelling provides a highly engaging way of introducing both reflective and open educational practices

    Development of electron-beam equipment and technology of layer welding of the wire in the conditions of additive technologies

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    Immunotoxins are powerful tools to specifically eliminate deviated cells. Due to the side effects of the original immunotoxins, they were only considered for the treatment of cancer as in these cases, the potential favourable effect outweighed the unwanted toxic side effects. Over time, many improvements in the construction of immunotoxins have been implemented that circumvent, or at least strongly diminish, the side effects. In consequence this opens the way to employ these immunotoxins for the treatment of non-life threatening diseases. One such category of disease could be the many chronic inflammatory disorders in which an uncontrolled interaction between inflammatory cells leads to chronicity. In several of these chronic conditions, activated macrophages, which are characterised by an increased expression of CD64, are known to play a key role. In this review we discus the data presently available on elimination of activated macrophages through CD64 immunotoxins in several animal models for chronic disease. A chemically linked complete antibody with the plant toxin Ricin-A, proved very effective and provided proof of concept. Subsequently, the development towards genetically engineered, fully human, multivalent single chain based immunotoxins that have diminished immunogenicity, is discussed. The data show that the specific elimination of activated macrophages through CD64 is indeed beneficial for the course of disease. As opposed to other methods used to inactivate or eliminate macrophages, with the CD64 based immunotoxins only the activated population is killed. This may open the way to apply these immunotoxins as therapeutics in chronic inflammatory disease

    An active learning approach for statistical spoken language understanding

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    The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-25085-9_67In general, large amount of segmented and labeled data is needed to estimate statistical language understanding systems. In recent years, different approaches have been proposed to reduce the segmentation and labeling effort by means of unsupervised o semi-supervised learning techniques. We propose an active learning approach to the estimation of statistical language understanding models that involves the transcription, labeling and segmentation of a small amount of data, along with the use of raw data. We use this approach to learn the understanding component of a Spoken Dialog System. Some experiments that show the appropriateness of our approach are also presented.Work partially supported by the Spanish MICINN under contract TIN2008-06856-C05-02, and by the Vicerrectorat d’Investigació, Desenvolupament i Innovació of the Universitat Politècnica de València under contract 20100982.García Granada, F.; Hurtado Oliver, LF.; Sanchís Arnal, E.; Segarra Soriano, E. (2011). An active learning approach for statistical spoken language understanding. En Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer Verlag (Germany). 7042:565-572. https://doi.org/10.1007/978-3-642-25085-9_67S5655727042De Mori, R., Bechet, F., Hakkani-Tur, D., McTear, M., Riccardi, G., Tur, G.: Spoken language understanding: A survey. IEEE Signal Processing Magazine 25(3), 50–58 (2008)Fraser, M., Gilbert, G.: Simulating speech systems. Computer Speech and Language 5, 81–99 (1991)Gotab, P., Bechet, F., Damnati, G.: Active learning for rule-based and corpus-based spoken labguage understanding moldes. In: IEEE Workshop Automatic Speech Recognition and Understanding (ASRU 2009), pp. 444–449 (2009)Gotab, P., Damnati, G., Becher, F., Delphin-Poulat, L.: Online slu model adaptation with a partial oracle. In: Proc. of InterSpeech 2010, Makuhari, Chiba, Japan, pp. 2862–2865 (2010)He, Y., Young, S.: Spoken language understanding using the hidden vector state model. Speech Communication 48, 262–275 (2006)Ortega, L., Galiano, I., Hurtado, L.F., Sanchis, E., Segarra, E.: A statistical segment-based approach for spoken language understanding. In: Proc. of InterSpeech 2010, Makuhari, Chiba, Japan, pp. 1836–1839 (2010)Riccardi, G., Hakkani-Tur, D.: Active learning: theory and applications to automatic speech recognition. IEEE Transactions on Speech and Audio Processing 13(4), 504–511 (2005)Segarra, E., Sanchis, E., Galiano, M., García, F., Hurtado, L.: Extracting Semantic Information Through Automatic Learning Techniques. International Journal of Pattern Recognition and Artificial Intelligence 16(3), 301–307 (2002)Tur, G., Hakkani-Tr, D., Schapire, R.E.: Combining active and semi-supervised learning for spoken language understanding. Speech Communication 45, 171–186 (2005

    Spectroscopy of 13B via the 13C(t,3He) reaction at 115 AMeV

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    Gamow-Teller and dipole transitions to final states in 13B were studied via the 13C(t,3He) reaction at Et = 115 AMeV. Besides the strong Gamow-Teller transition to the 13B ground state, a weaker Gamow-Teller transition to a state at 3.6 MeV was found. This state was assigned a spin-parity of 3/2- by comparison with shell-model calculations using the WBP and WBT interactions which were modified to allow for mixing between nhw and (n+2)hw configurations. This assignment agrees with a recent result from a lifetime measurement of excited states in 13B. The shell-model calculations also explained the relatively large spectroscopic strength measured for a low-lying 1/2+ state at 4.83 MeV in 13B. The cross sections for dipole transitions up to Ex(13B)= 20 MeV excited via the 13C(t,3He) reaction were also compared with the shell-model calculations. The theoretical cross sections exceeded the data by a factor of about 1.8, which might indicate that the dipole excitations are "quenched". Uncertainties in the reaction calculations complicate that interpretation.Comment: 11 pages, 6 figure

    A high efficiency, low background detector for measuring pair-decay branches in nuclear decay

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    We describe a high efficiency detector for measuring electron-positron pair transitions in nuclei. The device was built to be insensitive to gamma rays and to accommodate high overall event rates. The design was optimized for total pair kinetic energies up to about 7 MeV.Comment: Accepted for publication by Nucl. Inst. & Meth. in Phys. Res. A (NIM A

    Convective overshooting and production of s-nuclei in massive stars during their core He-burning phase

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    With the "post-processing" technique we explore the role of the convective overshooting on the production of s-nuclei in stellar models of different initial mass and metallicity (15MZAMS/M2515 \leq M_{ZAMS}/M_{\odot} \leq 25; 104Z0.0210^{-4} \leq Z \leq 0.02), considering a range of values for the parameter ff, which determines the overall efficiency of convective overshooting.We find enhancements in the production of s-nuclei until a factor 6\sim 6 (measured as the average overproduction factor of the 6 s-only nuclear species with 60A9060\lesssim A\lesssim90) in all our models of different initial mass and metallicity with ff in the range 0.010.0350.01{-}0.035 (i.e. models with overshooting) compared to the production obtained with "no-overshooting" models (i.e. models with the same initial mass and metallicity, but f=105f=10^{-5}). Moreover the results indicate that the link between the overshooting parameter ff and the s-process efficiency is essentially monotonic in all our models of different initial mass and metallicity. Also evident is the higher s-process efficiency when we progressively increase for a given f value both the mass of the models from 15 M_\odot to 25 M_\odot and the Z value from 104^{-4} to 0.02. We also briefly discuss the possible consequences of these results for some open questions linked to the s-process weak component efficiency, as well as a "rule of thumb" to evaluate the impact of the convective overshooting on the yields of a generation of stars.Comment: 12 pages, 6 figures, A&A accepted (corrected typos plus minor changes in order to fulfill the guidelines for A&A manuscripts

    An interdisciplinary approach to the development of professional identity through digital storytelling in health and social care and teacher education

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    The present article presents a study based on an interdisciplinary approach to research into reflection on identity construction. This multiple case study explores the narrative of professional identities in digital artefacts. It is aimed at exploring in what way digital storytelling can be used as a suitable pedagogical strategy for the construction of professional identity. The students involved in the innovative learning activity comprise two groups of Health and Social Care students in the UK, two groups of Primary Education student teachers and one group of Secondary Education student teachers in Spain. Thematic analysis is used to identify the topics addressed by students in exploring their professional identities, including values and the process of learning itself. Finally, the lessons learned from this interdisciplinary approach to reflection on identity and the implications these have not only for teaching and learning design but also for future collaborative research projects, are set out in the discussion and conclusions

    Cellulose hydrolysis-hydrogenolysis to ethyleneglycol and propyleneglycol over Ru and heteropolyacid catalysts

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    Еthylene and propylene glycols (EG and PG) are widely used in industry to produce cooling systems and other valuable chemical products. But PG is non-toxic, therefore it is used in industries where EG can not be used: pharmaceutical, food, etc. This polyols produced by "one-pot" method, which is one of the promising and effective methods for producing alcohols from cellulose under harsh conditions. The purpose of this study was to determine the optimal composition of the solid bifunctional catalyst and the conditions of its preparation for the hydrolysis-hydrogenolysis of cellulose. Catalists are Ru-HPA/ZrO[2], RuHPA/Nb[2]O[5] and Ru/CsHPK. As a result of the study, the most promising catalyst system is 1%Ru/Cs[3.5]H[0.5]SiW[12]O[40]. In the presence of 1%Ru/CsHPA, the yield of 25% EG and 11% PG was detected (EG and PG selectivity is 60 and 27%). The activity of the catalysts was studied in the presence of Ca(OH)[2]
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