981 resultados para math.GR


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20 pages

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20 pages

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27 pages, 6 figures

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The development of new materials for water purification is of universal importance. Among these types of materials are layered double hydroxides (LDHs). Non-ionic materials pose a significant problem as pollutants. The interaction of methyl orange (MO) and acidic scarlet GR (GR) adsorption on hydrocalumite (Ca/Al-LDH-Cl) were studied by X-ray diffraction (XRD), infrared spectroscopy (MIR), scanning electron microscope (SEM) and near-infrared spectroscopy (NIR). The XRD results revealed that the basal spacing of Ca/Al-LDH-MO was expanded to 2.45 nm, and the MO molecules were intercalated with a inter-penetrating bilayer model in the gallery of LDH, with 49o tilting angle. Yet Ca/Al-LDH-GR was kept the same d-value as Ca/Al-LDH-Cl. The NIR spectrum for Ca/Al-LDH-MO showed a prominent band around 5994 cm-1, assigned to the combination result of the N-H stretching vibrations, which was considered as a mark to assess MO- ion intercalation into Ca/Al-LDH-Cl interlayers. From SEM images, the particle morphology of Ca/Al-LDH-MO mainly changed to irregular platelets, with a “honey-comb” like structure. Yet the Ca/Al-LDH-GR maintained regular hexagons platelets, which was similar to that of Ca/Al-LDH-Cl. All results indicated that MO- ion was intercalated into Ca/Al-LDH-Cl interlayers, and acidic scarlet GR was only adsorped upon Ca/Al-LDH-Cl surfaces.

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The Accelerating Indigenous Mathematics (AIM) Program offered by the YuMi Deadly Centre from QUT accelerates the mathematics learning of underperforming students in Years 8 - 10 by a) apportioning Years 2-10 Australian Curriculum: Mathematics content into three years, and b) provides a teaching approach that accelerates the mathematical learning. The philosophy of the YuMi Deadly teaching approach for mathematics is one that requires a ‘body’, ‘hand’, ‘mind’ pedagogy. This presentation will provide examples of the “‘body’, ‘hand’, ‘mind’” mathematics pedagogy. In AIM classrooms, mathematics is presented this approach is having a positive impact. Students are willing ‘to have a go’ without shame; and they develop the desire to learn and improve their numeracy.

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Clinical studies have demonstrated an impairment of glucocorticoid receptor (GR)-mediated negative feedback on the hypothalamic-pituitary-adrenal (HPA) axis in patients with major depression (GR resistance), and its resolution by antidepressant treatment. Recently, we showed that this impairment is indeed due to a dysfunction of GR in depressed patients (Carvalho et al., 2009), and that the ability of the antidepressant clomipramine to decrease GR function in peripheral blood cells is impaired in patients with major depression who are clinically resistant to treatment (Carvalho et al. 2008). To further investigate the effect of antidepressants on GR function in humans, we have compared the effect of the antidepressants clomipramine, amytriptiline, sertraline, paroxetine and venlafaxine, and of the antipsychotics, haloperidol and risperidone, on GR function in peripheral blood cells from healthy volunteers (n=33). GR function was measured by glucocorticoid inhibition of lypopolysaccharide (LPS)-stimulated interleukin-6 (IL-6) levels. Compared to vehicle-treated cells, all antidepressants inhibited dexamethasone (DEX, 10-100nM) inhibition of LPS-stimulated IL-6 levels (p values ranging from 0.007 to 0.1). This effect was specific to antidepressants, as antipsychotics had no effect on DEX-inhibition of LPS-stimulated IL-6 levels. The phosphodiesterase (PDE) type 4 inhibitor, rolipram, potentiated the effect of antidepressants on GR function, while the GR antagonist, RU-486, inhibited the effect of antidepressants on GR function. These findings indicate that the effect of antidepressants on GR function are specific for this class of psychotropic drugs, and involve second messenger pathways relevant to GR function and inflammation. Furthermore, it also points towards a possible mechanism by which one maybe able to overcome treatment-resistant depression. Research in this field will lead to new insights into the pathophysiology and treatment of affective disorders.

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Tämä pro gradu -tutkielma on tehty osana Svenska i toppen -projektia, joka alkoi syksyllä 2008 Pohjoismaisten kielten ja pohjoismaisen kirjallisuuden laitoksella. Tutkimuksen tavoitteena on selvittää, mitkä tekijät vaikuttavat lukiolaisten näkökulmasta hyvien tulosten saavuttamiseen ruotsin ylioppilaskirjoituksissa kolmessa suomenkielisessä lukiossa, jotka sijaitsevat Turun, Tampereen ja Joensuun seuduilla. Lisäksi tavoitteena on selvittää, miten maantieteelliset tekijät vaikuttavat opiskelijoiden ruotsin kielen osaamiseen sekä mitä eroja on keskipitkän ja pitkän ruotsin oppimäärän opiskelijoiden asenteissa kieltä kohtaan. Tutkielman aineistona on kolme ryhmähaastattelua, joihin on osallistunut 14 lukiolaista, 11 tyttöä ja 3 poikaa. Haastattelut on tehty joulukuussa 2008 sekä tammi- ja maaliskuussa 2009. Haastatteluissa on käytetty strukturoitua kyselylomaketta, jossa kysytään opiskelijoiden näkemyksiä ruotsin opiskelusta. Tutkimusmenetelmänä on kvalitatiivinen tutkimusote, jossa on piirteitä kolmesta eri menetelmästä: tapaustutkimuksesta, etnografisesta tutkimuksesta sekä temaattisesta analyysistä. Tärkeimpänä teoriataustana on ruotsi toisena kielenä -tutkimus, oppiminen sosiokonstruktivistisena ilmiönä sekä motivaatiotutkimus. Tarkastelen kielenoppijaa luokkahuoneessa sosiaalisena osallistujana omassa oppimisprosessissaan. Oppiminen nähdään kokonaisuutena, johon kuuluu eri osa-alueita, esimerkiksi koulujen käytännöt, yhteisön vaikutus oppimiseen sekä opiskelijan identiteetin muokkautuminen kouluyhteisössä. Motivaatiota tarkastelen kielenoppimisen näkökulmasta, ja se koostuu erilaisista dynaamisista vaiheista, esimerkiksi tavoitteiden asettamisesta oppimisprosessin alussa, valintojen tekemisestä sekä motivaation ylläpitämisestä oppimisprosessin kuluessa. Tutkimuksen tulokset osoittavat, että suurin yksittäinen syy menestykseen opiskelijoiden näkökulmasta on opettaja, joka omalla toiminnallaan voi merkittävästi parantaa opiskelijoiden oppimisedellytyksiä. Työhön panostaminen, opiskelijoiden yksilöllinen kohtaaminen myös luokkahuoneen ulkopuolella ja esimerkiksi omien oppimateriaalien valmistaminen ovat opettajaan liittyviä tekijöitä, jotka voivat nostaa opiskelijoiden motivaatiota huomattavasti. Myös lukion maantieteellisellä sijainnilla on vaikutusta. Paikkakunnilla, joilla ruotsin kieltä käytetään vähän, korostuu opettajan rooli kielellisen oppimisympäristön luomisessa. Keskipitkän ja pitkän ruotsin opiskelijoiden välillä ei tutkimuksessa ilmene eroja asenteissa kieltä kohtaan.

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Digital image

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I detta arbete accentueras kunden som medverkande aktör vid tillkomsten av tjänster och specifikt då inom den konsumentorienterade sektorn, vilken är en naturlig del av vårt vardagsliv. Såväl kommersiella som icke-kommersiella tjänster beaktas och på denna grund står kundrollen i centrum. Detta är primärt parallellt med valet av perspektiv, vilket genomgående får en fundamental betydelse. Kunders aktiva medverkan framstår som en naturlig och väsentlig ingrediens inom tjänstesektorn, vilket understryks och poängteras i detta arbete inom ramen för en samlad bild av kunden i rollen som medverkande aktör. Därmed markeras betydelsen av att söka förstå fenomenet ”kundmedverkan” utifrån en helhetssyn och med denna utgångspunkt tydliggöra en helhet, en samlad bild, och de delar som bygger och formar denna. Tre ingredienser aktualiseras härvid som tongivande och dessa präglar den bild som i detta arbete framträder av kunden som medverkande part. I ett första steg klarläggs sådana aktiviteter som bygger och formar kundens medverkan. Denne engagerar sig och presterar olika aktiviteter, insatser, vilka framstår som ett fundament i fenomenet. På denna grund skapas och formas kundens input i tjänsteprocessen, dennes processbidrag. Därmed fokuseras kundens processnära funktion, samtidigt som vikten av att parallellt uppmärksamma insatser respektive processbidrag betonas. Vidare klarläggs de effekter som kan uppkomma för såväl kunden själv som tjänsteorganisationen och andra inblandade kunder. Olika typer av effekter lyfts fram och tydliggörs med koppling till bland annat tidsrelaterade inslag. Kunders inflytande på såväl kvalitetsupplevelser som produktivitet är härvid av naturligt intresse. Teoretisk analys och begreppsutveckling har varit tongivande inslag i forskningsstrategin, samtidigt som perspektivfrågan har intagit en avgörande position. Vidare har erfarenhetsbaserade bilder av ”kundens vardag” byggt en väsentlig grund, parallellt med teoretiska erfarenheter. I arbetet utvecklas och presenteras referensramar för kunders medverkan i tjänsteprocessen. Inom ramen för en samlad bild erbjuds härigenom möjligheter till analys av konsumentrelaterade verksamheter av skiftande karaktär. Detta framstår som väsentligt med hänsyn till de variationer som kan framträda inom tjänstesektorn.

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We say a family of geometric objects C has (l;k)-property if every subfamily C0C of cardinality at most lisk- piercable. In this paper we investigate the existence of g(k;d)such that if any family of objects C in Rd has the (g(k;d);k)-property, then C is k-piercable. Danzer and Gr̈ unbaum showed that g(k;d)is infinite for fami-lies of boxes and translates of centrally symmetric convex hexagons. In this paper we show that any family of pseudo-lines(lines) with (k2+k+ 1;k)-property is k-piercable and extend this result to certain families of objects with discrete intersections. This is the first positive result for arbitrary k for a general family of objects. We also pose a relaxed ver-sion of the above question and show that any family of boxes in Rd with (k2d;k)-property is 2dk- piercable.

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In today's API-rich world, programmer productivity depends heavily on the programmer's ability to discover the required APIs. In this paper, we present a technique and tool, called MATHFINDER, to discover APIs for mathematical computations by mining unit tests of API methods. Given a math expression, MATHFINDER synthesizes pseudo-code to compute the expression by mapping its subexpressions to API method calls. For each subexpression, MATHFINDER searches for a method such that there is a mapping between method inputs and variables of the subexpression. The subexpression, when evaluated on the test inputs of the method under this mapping, should produce results that match the method output on a large number of tests. We implemented MATHFINDER as an Eclipse plugin for discovery of third-party Java APIs and performed a user study to evaluate its effectiveness. In the study, the use of MATHFINDER resulted in a 2x improvement in programmer productivity. In 96% of the subexpressions queried for in the study, MATHFINDER retrieved the desired API methods as the top-most result. The top-most pseudo-code snippet to implement the entire expression was correct in 93% of the cases. Since the number of methods and unit tests to mine could be large in practice, we also implement MATHFINDER in a MapReduce framework and evaluate its scalability and response time.

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Today's programming languages are supported by powerful third-party APIs. For a given application domain, it is common to have many competing APIs that provide similar functionality. Programmer productivity therefore depends heavily on the programmer's ability to discover suitable APIs both during an initial coding phase, as well as during software maintenance. The aim of this work is to support the discovery and migration of math APIs. Math APIs are at the heart of many application domains ranging from machine learning to scientific computations. Our approach, called MATHFINDER, combines executable specifications of mathematical computations with unit tests (operational specifications) of API methods. Given a math expression, MATHFINDER synthesizes pseudo-code comprised of API methods to compute the expression by mining unit tests of the API methods. We present a sequential version of our unit test mining algorithm and also design a more scalable data-parallel version. We perform extensive evaluation of MATHFINDER (1) for API discovery, where math algorithms are to be implemented from scratch and (2) for API migration, where client programs utilizing a math API are to be migrated to another API. We evaluated the precision and recall of MATHFINDER on a diverse collection of math expressions, culled from algorithms used in a wide range of application areas such as control systems and structural dynamics. In a user study to evaluate the productivity gains obtained by using MATHFINDER for API discovery, the programmers who used MATHFINDER finished their programming tasks twice as fast as their counterparts who used the usual techniques like web and code search, IDE code completion, and manual inspection of library documentation. For the problem of API migration, as a case study, we used MATHFINDER to migrate Weka, a popular machine learning library. Overall, our evaluation shows that MATHFINDER is easy to use, provides highly precise results across several math APIs and application domains even with a small number of unit tests per method, and scales to large collections of unit tests.