Puheen suuntia luokkahuoneessa : Oppilaat osallistujina yläkoulun suomi toisena kielenä -tunnilla

This study describes how students influence their possibilities of participating in whole-class conversation. The main objective is to investigate the verbal and non-verbal resources used by students to modify the participant roles of the ongoing conversation. The resources studied are attention-getting devices such as hand-raising and address terms, recycling and other forms of collaborative talk, means of reference to persons, such as pronouns, as well as gaze and other embodied resources. The theoretical and methodological framework adopted in this study is that of conversation analysis. The data consist of ten videotaped lessons of Finnish as a second language in three secondary schools (grades 7 9) in southern Finland; the number of students per group varies from five to ten. Finnish has a triple role in the data as the medium of teaching, the target language, and the lingua franca used by the participants. The findings show that the multi-party context of the classroom conversation is both a disadvantage and an affordance for student participation. The students possess multiple tools to overcome and deal with the encumbrances posed by the large number of participants. They combine various techniques in order to actively compete for public turns, and they monitor the ongoing conversation carefully to adjust their participation to the activities of other participants. Sometimes the whole-class conversation splits into two separate conversations, but participants usually orient to the overlapping nature of the talk and tend to bring the conversations together rapidly. On the other hand, students skilfully make use of other participants and their talk to increase and diversify their own possibilities to participate. For example, they recycle elements of each other s turns or refer to the currently speaking student in order to gain access to the conversation. Students interact with each other even during the public whole-class conversation. Students orient to one another often even when talking to the teacher, but they also address talk directly to one another, as part of the public conversation. In this way students increase each other s possibilities of participation. The interaction is constantly multi-layered: in addition to the pedagogic agenda, the students orient to social goals, for example, by teasing each other and putting on humorous performances for their peer audience. The student student participation arises spontaneously from a genuine need to communicate and thus represents authentic language use: by talking to each other, often playfully, the students appropriate Finnish vocabulary, grammar, and expressions. In this way the structure of the interaction reflects the particular nature of Finnish as a second language lessons: all talk serves the pedagogic goal of enabling students to communicate in the target language.

An optimal weighted-average congestion based pricing scheme for enhanced QoS, , LNCS 4882, 2007

Pricing is an effective tool to control congestion and achieve quality of service (QoS) provisioning for multiple differentiated levels of service. In this paper, we consider the problem of pricing for congestion control in the case of a network of nodes under a single service class and multiple queues, and present a multi-layered pricing scheme. We propose an algorithm for finding the optimal state dependent price levels for individual queues, at each node. The pricing policy used depends on a weighted average queue length at each node. This helps in reducing frequent price variations and is in the spirit of the random early detection (RED) mechanism used in TCP/IP networks. We observe in our numerical results a considerable improvement in performance using our scheme over that of a recently proposed related scheme in terms of both throughput and delay performance. In particular, our approach exhibits a throughput improvement in the range of 34 to 69 percent in all cases studied (over all routes) over the above scheme.

Electrochemical Detection of Bisphenol A Using Graphene-Modified Glassy Carbon Electrode

Graphene's nano-dimensional nature and excellent electron transfer properties underlie its electrocatalytic behavior towards certain substances. In this light, we have used graphene in the electrochemical detection of bisphenol A. Graphene sheets were produced via soft chemistry route involving graphite oxidation and chemical reduction. X-ray diffraction, Fourier transform infra-red (FT-IR) and Raman spectroscopy were used for the characterization of the as-synthesized graphene. Graphene exhibited amorphous structure in comparison with pristine graphite from XRD spectra. FTIR showed that graphene exhibits OH and COOH groups due to incomplete reduction. Raman spectroscopy revealed that multi-layered graphene was produced due to low intensity of the 2D-peak. Glassy carbon electrode was modified with graphene by a simple drop and dry method. Cyclic voltammetry was used to study the electrochemical properties of the prepared graphene-modified glassy carbon electrode using potassium ferricyanide as a redox probe. The prepared graphene- modified glassy carbon electrode exhibited more facile electron kinetics and enhanced current of about 75% when compared to the unmodified glassy carbon electrode. The modified electrode was used for the detection of bisphenol A. Under the optimum conditions, the oxidation peak current of bisphenol A varied linearly with concentration over a wide range of 5 x 10(-8) mol L-1 to 1 x 10(-6) mol L-1 and the detection limit of this method was as low as 4.689 x 10(-8) M. This method was also employed to determine bisphenol A in a real sample

Texture and microstructure evolution during cold rolling of Cu-Fe laminates prepared by accumulative roll bonding

Multi-layered materials have been made from Cu-Fe with approximately equal volume fractions using the Accumulated Roll Bonding (ARB) technique with less than 1 μm thickness of the individual layers. The so-obtained multi-layers have been subjected to deformation by cold rolling to 25, 50, 75, 87 and 93% reduction in thickness. A detailed characterization has been carried out using X-ray diffraction (line profile analysis and texture measurement) and electron (scanning and transmission) microscopy. It has been found that Fe layers are disintegrated whereas Cu retains its continuity within a layer. Microstructural Characterization from X-Ray Line profile Analysis (XRDLPA) through Variance Method reveals that large amount of strain is initially carried by Cu layers during deformation. In the Cu-Fe layer, the texture is comparatively weaker in Cu layer and strong in Fe layers. Brass Component increases up to 75% reduction and then decreases, while the ratio of Cu/S and Bs/S remains almost constant through out the deformation. After 50% reduction, dynamic recovery is predominant as indicated by the increase in the amount of low angle grain boundaries and decrease in dislocation density. The presence of R component indicates continuous dynamic recovery and recrystallization (CDRR) at the advanced stage of deformation.

Protamine-carboxymethyl cellulose magnetic nanocapsules for enhanced delivery of anticancer drugs against drug resistant cancers

Multidrug resistance is a major therapeutic challenge faced in the conventional chemotherapy. Nanocarriers are beneficial in the transport of chemotherapeutics by their ability to bypass the P-gp efflux in cancers. Most of the P-gp inhibitors under phase II clinical trial are facing failures and hence there is a need to develop a suitable carrier to address P-gp efflux in cancer therapy. Herein, we prepared novel protamine and carboxymethyl cellulose polyelectrolyte multi-layered nanocapsules modified with Fe3O4 nanoparticles for the delivery of doxorubicin against highly drug resistant HeLa cells. The experimental results revealed that improved cellular uptake, enhanced drug intensity profile with greater percentage of apoptotic cells was attained when doxorubicin loaded magnetic nanocapsules were used in the presence of external magnetic field. Hence, we conclude that this magnetic field assisted nanocapsule system can be used for delivery of chemotherapeutics for potential therapeutic efficacy at minimal dose in multidrug resistant cancers. From the Clinical Editor: Many cancer drugs fail when cancer cells become drug resistant. Indeed, multidrug resistance (MDR) is a major therapeutic challenge. One way that tumor cells attain MDR is by over expression of molecular pumps comprising of P-glycoprotein (P-gp) and multidrug resistant proteins (MRP), which can expel chemotherapeutic drugs out of the cells. In this study, the authors prepared novel protamine and carboxymethyl cellulose polyelectrolyte multi-layered nanocapsules modified with Fe3O4 nanoparticles for the delivery of doxorubicin. The results show that there was better drug delivery and efficacy even against MDR tumor cells. (C) 2015 Elsevier Inc. All rights reserved.

应力波在多层介质中传播特性数值分析

通过与相关文献结果的对比,在验证了数值模拟应力波传播可行性的基础上,比较了应力波通过3层花岗岩和夹层为泡沫铝的3层介质后,发现后者应力波幅值的衰减远大于前者,应变能增加为前者的1.6倍,证明了软夹层在研究的速度量级上对能量耗散具有显著作用;在入射波波长为3层介质总厚度1/2的条件下,当泡沫铝的厚度占总厚度约0.2时,得出了3层介质的应变能约为系统总能量的60%,此时入射波波长为泡沫铝厚度的2.5倍,组合介质获得较佳的衰减性能.

Structure and diversity in Mytilus californianus (Mollusca: Bivalvia) communities

Mytilus californianus (Mollusca: Bivalvia), the California marine mussel, occurs in intertidal populations so derise that they are referred to as "Mussel beds." The mussel beds range in physical complexity from structurally simple, essentially mono-layered assemblages, to structurally complex, multi-layered assemblages. The internal environment within the bed varies accordingly. The mussel bed provides either directly or indirectly, habitat, food and shelter for a large community of associated invertebrates. This study examines the relationship between physical complexity of the mussel bed habitat and composition of the associated community.

Advanced Monte Carlo Simulation and Machine Learning for Frequency Domain Optical Coherence Tomography

Optical Coherence Tomography(OCT) is a popular, rapidly growing imaging technique with an increasing number of bio-medical applications due to its noninvasive nature. However, there are three major challenges in understanding and improving an OCT system: (1) Obtaining an OCT image is not easy. It either takes a real medical experiment or requires days of computer simulation. Without much data, it is difficult to study the physical processes underlying OCT imaging of different objects simply because there aren't many imaged objects. (2) Interpretation of an OCT image is also hard. This challenge is more profound than it appears. For instance, it would require a trained expert to tell from an OCT image of human skin whether there is a lesion or not. This is expensive in its own right, but even the expert cannot be sure about the exact size of the lesion or the width of the various skin layers. The take-away message is that analyzing an OCT image even from a high level would usually require a trained expert, and pixel-level interpretation is simply unrealistic. The reason is simple: we have OCT images but not their underlying ground-truth structure, so there is nothing to learn from. (3) The imaging depth of OCT is very limited (millimeter or sub-millimeter on human tissues). While OCT utilizes infrared light for illumination to stay noninvasive, the downside of this is that photons at such long wavelengths can only penetrate a limited depth into the tissue before getting back-scattered. To image a particular region of a tissue, photons first need to reach that region. As a result, OCT signals from deeper regions of the tissue are both weak (since few photons reached there) and distorted (due to multiple scatterings of the contributing photons). This fact alone makes OCT images very hard to interpret.

This thesis addresses the above challenges by successfully developing an advanced Monte Carlo simulation platform which is 10000 times faster than the state-of-the-art simulator in the literature, bringing down the simulation time from 360 hours to a single minute. This powerful simulation tool not only enables us to efficiently generate as many OCT images of objects with arbitrary structure and shape as we want on a common desktop computer, but it also provides us the underlying ground-truth of the simulated images at the same time because we dictate them at the beginning of the simulation. This is one of the key contributions of this thesis. What allows us to build such a powerful simulation tool includes a thorough understanding of the signal formation process, clever implementation of the importance sampling/photon splitting procedure, efficient use of a voxel-based mesh system in determining photon-mesh interception, and a parallel computation of different A-scans that consist a full OCT image, among other programming and mathematical tricks, which will be explained in detail later in the thesis.

Next we aim at the inverse problem: given an OCT image, predict/reconstruct its ground-truth structure on a pixel level. By solving this problem we would be able to interpret an OCT image completely and precisely without the help from a trained expert. It turns out that we can do much better. For simple structures we are able to reconstruct the ground-truth of an OCT image more than 98% correctly, and for more complicated structures (e.g., a multi-layered brain structure) we are looking at 93%. We achieved this through extensive uses of Machine Learning. The success of the Monte Carlo simulation already puts us in a great position by providing us with a great deal of data (effectively unlimited), in the form of (image, truth) pairs. Through a transformation of the high-dimensional response variable, we convert the learning task into a multi-output multi-class classification problem and a multi-output regression problem. We then build a hierarchy architecture of machine learning models (committee of experts) and train different parts of the architecture with specifically designed data sets. In prediction, an unseen OCT image first goes through a classification model to determine its structure (e.g., the number and the types of layers present in the image); then the image is handed to a regression model that is trained specifically for that particular structure to predict the length of the different layers and by doing so reconstruct the ground-truth of the image. We also demonstrate that ideas from Deep Learning can be useful to further improve the performance.

It is worth pointing out that solving the inverse problem automatically improves the imaging depth, since previously the lower half of an OCT image (i.e., greater depth) can be hardly seen but now becomes fully resolved. Interestingly, although OCT signals consisting the lower half of the image are weak, messy, and uninterpretable to human eyes, they still carry enough information which when fed into a well-trained machine learning model spits out precisely the true structure of the object being imaged. This is just another case where Artificial Intelligence (AI) outperforms human. To the best knowledge of the author, this thesis is not only a success but also the first attempt to reconstruct an OCT image at a pixel level. To even give a try on this kind of task, it would require fully annotated OCT images and a lot of them (hundreds or even thousands). This is clearly impossible without a powerful simulation tool like the one developed in this thesis.

Direito Internacional dos Investimentos e o Brasil: uma perspectiva a partir do padrão de tratamento justo e equitativo

O crescente fluxo global de investimentos estrangeiros coloca o tema da regulação dos investimentos estrangeiros no cerne das preocupações do Direito Internacional. Em uma estrutura formal com diversos níveis, o Direito Internacional dos Investimentos passa por constantes readaptações e reconstruções. Diversas alternativas teóricas têm sido propostas para responder aos muitos questionamentos relativos ao futuro do Direito Internacional dos Investimentos. Ao longo das décadas, o Brasil optou por manter-se isolado do regime internacional de regulação de investimentos estrangeiros, de maneira que a questão permaneceu regulada inteiramente por um mosaico normativo disperso entre normas constitucionais e infraconstitucionais. O crescente papel do Brasil como país exportador de capitais especialmente em virtude da expansão da indústria do petróleo e gás levou à recente revisão das diretrizes de política externa em matéria de investimentos estrangeiros. A decisão de negociar acordos internacionais de investimentos pode trazer diversas consequências para o ordenamento jurídico doméstico, dentre as quais se destaca a interferência do padrão de tratamento justo e equitativo no exercício do poder regulatório pelo Estado. A recorrente invocação do padrão de tratamento justo e equitativo contrasta com as incertezas sobre seu conteúdo. Ainda que possa existir uma compatibilidade teórica entre esse padrão de tratamento e o Direito brasileiro, a exposição às interpretações criativas dos tribunais arbitrais pode representar um risco para o Brasil, que deve cuidadosamente avaliar a pertinência de incluir uma cláusula do padrão de tratamento justo e equitativo nos acordos atualmente em negociação.

A computationally efficient software application for calculating vibration from underground railways

The PiP model is a software application with a user-friendly interface for calculating vibration from underground railways. This paper reports about the software with a focus on its latest version and the plans for future developments. The software calculates the Power Spectral Density of vibration due to a moving train on floating-slab track with track irregularity described by typical values of spectra for tracks with good, average and bad conditions. The latest version accounts for a tunnel embedded in a half space by employing a toolbox developed at K.U. Leuven which calculates Green's functions for a multi-layered half-space. © 2009 IOP Publishing Ltd.

Ultrahigh compression of water using intense heavy ion beams: laboratory planetary physics

Intense heavy ion beams offer a unique tool for generating samples of high energy density matter with extreme conditions of density and pressure that are believed to exist in the interiors of giant planets. An international accelerator facility named FAIR (Facility for Antiprotons and Ion Research) is being constructed at Darmstadt, which will be completed around the year 2015. It is expected that this accelerator facility will deliver a bunched uranium beam with an intensity of 5x10(11) ions per spill with a bunch length of 50-100 ns. An experiment named LAPLAS (Laboratory Planetary Sciences) has been proposed to achieve a low-entropy compression of a sample material like hydrogen or water (which are believed to be abundant in giant planets) that is imploded in a multi-layered target by the ion beam. Detailed numerical simulations have shown that using parameters of the heavy ion beam that will be available at FAIR, one can generate physical conditions that have been predicted to exist in the interior of giant planets. In the present paper, we report simulations of compression of water that show that one can generate a plasma phase as well as a superionic phase of water in the LAPLAS experiments.

An efficient electroluminescent (2,2 '-bipyridine mono N-oxide) europium(III) beta-diketonate complex

The multi-layered electroluminescent device consisting of Eu(TTA)(3)(2,2'-bipyridine mono N-oxide) (TTA = 2-thenoyltrifluoroacetonate) as the red dopant exhibited an impressive current and power efficiency at a brightness of 100 cd m(-2) and voltage-independent spectral stability.

柔性制造单元一种多层计划调度方法

柔性制造单元的计划与调度问题已有许多的讨论,但大都针对具体的系统以及对任务做某些假设,本文提出一种多层计划和调度的方法并对每层的功能进行讨论,这种方法的结构可应用于各类单元.同时提出三种机器资源的分配方法.文中给出了仿真结果表明此方法是比较有效的.

Holocaust w powieści Wasilija Grossmana "Życie i los"

Tematem artykułu jest książka bezpośrednio nie zaliczana do literatury Holocaustu, wybitna powieść Życie i los, rosyjskiego pisarza i dziennikarza Wasilija Grossmana, który dziś uznawany jest za jednego z najważniejszych twórców rosyjskich XX wieku. Życie i los okazuje się przykładem ujęcia dramatu Shoah na tle wojny jako części wielkiej Historii poddanej szaleństwom ideologii i polityki nazistów oraz terroru i rosnącego z drugiej strony antysemityzmu w państwie bolszewickim. Jednocześnie Zagłada pozostaje w tym utworze przede wszystkim tragedią konkretnych osób, widziana w porządku pojedynczej ludzkiej egzystencji, która nie daje się nigdy całkowicie sprowadzić do tego, co bezosobowe i masowe. Indywidualna perspektywa humanizuje obraz historii, ale też i go podważa w jego ogólnych strukturach i narracjach. Artykuł opisuje elementy, które składają się na żydowski wątek utworu. Dla jego odczytania ważny okazuje się szerszy kontekst biografii Grossmana i historia powstania oraz wydania powieści Życie i los. Jak widać – rosyjski pisarz dokonał dwóch znaczących gestów w odniesieniu do problemu reprezentacji Zagłady: z jednej strony zwrócił się ku konwencjom literackim, wykorzystał epicki rozmach, kompozycję wielowątkową i panoramiczne ujęcia wraz z ich koncepcją realizmu, wehikularności słowa, a jednocześnie wyszedł poza estetyczne ramy tekstu literackiego, wprowadził elementy lirycznych opisów i autobiograficzne akcenty oraz podkreślił etyczny wymiar całości – jako formy pamięci o tych niezliczonych ofiarach nie tylko Zagłady, ale i każdego XX wiecznego totalitaryzmu.

A post-structuralist analysis of Irish youth crime prevention policy with specific emphasis on the Garda youth diversion projects

Garda Youth Diversion Projects (GYDPs) have since their beginnings in the early 1990s gained an increasingly important role and now constitute a central feature of Irish youth justice provision. Managed by the Irish Youth Justice Service and implemented by the Gardai and a variety of youth work organisations as well as independent community organisations, GYDPs are located at the crossroads of welfarist and corporatist approaches to youth justice, combining diversionary and preventative aspects in their work. To date, these projects have been subjected to very little systematic analysis and they have thus largely escaped critical scrutiny. To address this gap, this thesis locates the analysis of GYDP policy and practice within a post-structuralist theoretical framework and deploys discourse analysis primarily based on the work of Michel Foucault. It makes visible the official youth crime prevention and GYDP policy discourses and identifies how official discourses relating to youth crime prevention, young people and their offending behaviour, are drawn upon, negotiated, rejected or re-contextualised by project workers and JLOs. It also lays bare how project workers and JLOs draw upon a variety of other discourses, resulting in multi-layered, complex and sometimes contradictory constructions of young people, their offending behaviour and corresponding interventions. At a time when the projects are undergoing significant changes in terms of their repositioning to operate as the support infrastructure underpinning the statutory Garda Youth Diversion Programme, the thesis traces the discursive shifts and the implications for practice that are occurring as the projects move away from a youth work orientation towards a youth justice orientation. A key contribution of this thesis is the insight it provides into how young people and their families are being constituted in individualising and sometimes pathologising ways in GYDP discourses and practices. It reveals the part played by the GYDP intervention in favouring individual and narrow familial causes of offending behaviour while broader societal contexts are sidelined. By explicating the very assumptions upon which contemporary youth crime prevention policy, as well as GYDP policy and practice are based, this thesis offers a counterpoint to the prevailing evidence-based agenda of much research in the field of Irish youth justice theory and youth studies more generally. Rather, it encourages the reader to take a step back and examine some of the most fundamental and unquestioned assumptions about the construction of young people, their offending behaviour and ways of addressing this, in contemporary Irish youth crime prevention policy and practice.