Adding Value to Message Mediation in Multioperator MMS Network Architecture

Mobiiliviestintään käytetystä lyhytsanomapalvelusta (Short Messaging Service, SMS) on tullut ilmiömäinen menestys. SMS-palvelulle on tulossa seuraaja, jota kutsutaan monimediaviestipalveluksi (Multimedia Messaging Service, MMS). MMS-viestit voivat sisältää useita erilaisia kuva-, ääni- ja videoformaatteja. Vaikka yhteensopimattomia SMS-keskuksia yhdistämään tarvitaan Intellitel Messaging Gatewayn kaltaisia sanomanvälitystuotteita, ei tällainen SMS-keskeinen lähestyminen sanomanvälitykseen ole MMS-kykyisen sanomanvälittimen kannalta järkevä ratkaisu. MMS-kykyisen sanomanvälittimen täytyy lisätä arvoa itse sanomanvälitysprosessiin, jotta tuotteesta tulisi menestyksekäs. Tässä työssä käsitellään MMS-sanomanvälityksen ongelmallisuuksia. Erityisesti painotetaan MMS-kykyisen sanomanvälittimen kehittämistä olemassaolevasta SMS-sanomanvälitintuotteesta, sekä selvitetään syitä arvonlisäyksen välttämättömyydelle. Työssä esitetään myös erilaisia arvonlisäystapoja MMS-sanomanvälitykseen. Eräitä esitetyistä arvonlisäystavoista käytetään käytännön osassa toteutetussa Nokian MMS-keskuksen MM7/VAS-rajapintaan kytkeytymään kykenevässä sanomanvälityskomponentissa.

Effects of manipulating Task Complexity on self-repairs during L2 oral production

This paper analyses the effects of manipulating the cognitive complexity of L2 oral tasks on language production. It specifically focuses on self-repairs, which are taken as a measure of accuracy since they denote both attention to form and an attempt at being accurate. By means of a repeated measures de- sign, 42 lower-intermediate students were asked to perform three different tasks types (a narrative, and instruction-giving task, and a decision-making task) for which two degrees of cognitive complexity were established. The narrative task was manipulated along +/− Here-and-Now, an instruction-giving task ma- nipulated along +/− elements, and the decision-making task which is manipu- lated along +/− reasoning demands. Repeated measures ANOVAs are used for the calculation of differences between degrees of complexity and among task types. One-way ANOVA are used to detect potential differences between low- proficiency and high-proficiency participants. Results show an overall effect of Task Complexity on self-repairs behavior across task types, with different be- haviors existing among the three task types. No differences are found between the self-repair behavior between low and high proficiency groups. Results are discussed in the light of theories of cognition and L2 performance (Robin- son 2001a, 2001b, 2003, 2005, 2007), L1 and L2 language production models (Levelt 1989, 1993; Kormos 2000, 2006), and attention during L2 performance (Skehan 1998; Robinson, 2002).

Palveluyrityksen strateginen ohjaus ja tavoiteasetanta tiimiorganisaatiossa. Case: Etelä-Karjalan Osuuspankki

Tutkielman tavoitteena oli selvittää talouden ohjauksen tila case -yrityksessä, pyrkiä tunnistamaan kehityskohteita ohjauksessa ja ehdottaa mallia, joka huomioi tunnistetut kehittämiskohteet. Teoriaosassa analysoidaan yrityksen ohjausta aiemman teoreettisen kirjoittelun perusteella ja esitetään käsitteet sekä viitekehys. Empiirisessä osassa analysoidaan case -yrityksen ohjauksen nykytilaa ja tunnistetaan kehityskohteita ohjauksessa. Tutkielmassa on käytetty sekä hermeneuttista että normatiivista tutkimusotetta Tutkimuksessa havaittiin strategian jalkautumisen jäävän puutteelliseksi ja tämän vaikeuttavan tavoitteiden takana olevan ajattelun ymmärtämistä. Tavoitteisiin sitoutumista vaikeutti myös näkemys, jonka mukaan tavoitteet tulivat liikaa annettuina tekijöinä. Tutkielman lopuksi kehitettiin case-yritykselle tavoiteasetantamalli, jonka nähtiin auttavan strategian jalkauttamista ja sitouttamista yrityksen myyntitavoitteisiin.

Reaalioptioajattelu tutkimus- ja tuotekehityshankkeita arvioitaessa

The exploitation of real option analysis and real options reasoning to the value of research and development programs was studied in the context of two companies listed and operating in Finland. The companies saw real option analysis as a complex tool to be used to value research and development programs. Materials which were analyzed by qualitative methods were collected using inquiries and interviews. Real options reasoning observed to be more feasible to analyze research and development programs lasting for a couple of years than real option analysis. Where an uncertain investment environment prevailed real options reasoning offer a strategic tool to the company and enable uniform evaluation of research and development programs. Real options reasoning offer a possibility to the companies to systematize and rationalize the management and valuation of technology options.

Assessing an Adolescent's Capacity for Autonomous Decision-Making in Clinical Care.

The purpose of this article is to provide policy guidance on how to assess the capacity of minor adolescents for autonomous decision-making without a third party authorization, in the field of clinical care. In June 2014, a two-day meeting gathered 20 professionals from all continents, working in the field of adolescent medicine, neurosciences, developmental and clinical psychology, sociology, ethics, and law. Formal presentations and discussions were based on a literature search and the participants' experience. The assessment of adolescent decision-making capacity includes the following: (1) a review of the legal context consistent with the principles of the Convention on the Rights of the Child; (2) an empathetic relationship between the adolescent and the health care professional/team; (3) the respect of the adolescent's developmental stage and capacities; (4) the inclusion, if relevant, of relatives, peers, teachers, or social and mental health providers with the adolescent's consent; (5) the control of coercion and other social forces that influence decision-making; and (6) a deliberative stepwise appraisal of the adolescent's decision-making process. This stepwise approach, already used among adults with psychiatric disorders, includes understanding the different facets of the given situation, reasoning on the involved issues, appreciating the outcomes linked with the decision(s), and expressing a choice. Contextual and psychosocial factors play pivotal roles in the assessment of adolescents' decision-making capacity. The evaluation must be guided by a well-established procedure, and health professionals should be trained accordingly. These proposals are the first to have been developed by a multicultural, multidisciplinary expert panel.

How to introduce connectance in a frame of an expression for diversity

Systems made of parts that are totally connected do not work, neither ecosys- tems nor artifacts. Relative connectance is inversely related to diversity, and both magnitudes can find a common frame of expression, in which some constant expressing the constraints of any organization might be embodied. If S is Simp- son's index, the expression (1 - S)IS as a measure of diversity offers some advantages or, at least, helps further reasoning. Such expression is the ratio between total interspecific possible interactions and possible intraspecific inter- actions.

Reuse of information for selection of methods and operating conditions for drying of pharmaceutical materials

Drying is a major step in the manufacturing process in pharmaceutical industries, and the selection of dryer and operating conditions are sometimes a bottleneck. In spite of difficulties, the bottlenecks are taken care of with utmost care due to good manufacturing practices (GMP) and industries' image in the global market. The purpose of this work is to research the use of existing knowledge for the selection of dryer and its operating conditions for drying of pharmaceutical materials with the help of methods like case-based reasoning and decision trees to reduce time and expenditure for research. The work consisted of two major parts as follows: Literature survey on the theories of spray dying, case-based reasoning and decision trees; working part includes data acquisition and testing of the models based on existing and upgraded data. Testing resulted in a combination of two models, case-based reasoning and decision trees, leading to more specific results when compared to conventional methods.

L'informatique: un outil remarquable pour l'enseignement de la médecine interne générale [The informatics: a remarkable tool for teaching general internal medicine].

INTERMED training implies a three week course, integrated in the "primary care module" for medical students in the first master year at the school of medicine in Lausanne. INTERMED uses an innovative teaching method based on repetitive sequences of e-learning-based individual learning followed by collaborative learning activities in teams, named Team-based learning (TBL). The e-learning takes place in a web-based virtual learning environment using a series of interactive multimedia virtual patients. By using INTERMED students go through a complete medical encounter applying clinical reasoning and choosing the diagnostic and therapeutic approach. INTERMED offers an authentic experience in an engaging and safe environment where errors are allowed and without consequences.

La influència dels continguts numèrics a l’hora de realitzar estratègies de càlcul mental

En aquesta recerca es presenta l’anàlisi de les estratègies que usen els alumnes de 4t de primària de l’escola Barnola d’Avinyó per a resoldre operacions de suma amb nombres de fins a dues xifres. A més, permet observar la seva evolució després d’haver dut a terme una unitat didàctica orientada a treballar i millorar de manera manipulativa i dinàmica, al llarg de set setmanes, els continguts numèrics. Per tant, amb els resultats obtinguts podem valorar si el fet de treballar continguts numèrics influencia en l’ús d’estratègies de càlcul mental i contrastar-ho amb diferents autors destacats en aquest àmbit.

A Write-Based Solver for SAT Modulo the Theory of Arrays

The extensional theory of arrays is one of the most important ones for applications of SAT Modulo Theories (SMT) to hardware and software verification. Here we present a new T-solver for arrays in the context of the DPLL(T) approach to SMT. The main characteristics of our solver are: (i) no translation of writes into reads is needed, (ii) there is no axiom instantiation, and (iii) the T-solver interacts with the Boolean engine by asking to split on equality literals between indices. As far as we know, this is the first accurate description of an array solver integrated in a state-of-the-art SMT solver and, unlike most state-of-the-art solvers, it is not based on a lazy instantiation of the array axioms. Moreover, it is very competitive in practice, specially on problems that require heavy reasoning on array literals

A cognitive hierarchy model of behavior in the action commitment game

We apply the cognitive hierarchy model of Camerer et al. (Q J Econ 119(3):861-898, 2004)-where players have different levels of reasoning-to Huck et al. (Games Econ Behav 38:240-264, 2002) discrete version of Hamilton and Slutsky (Games Econ Behav 2:29-46, 1990) action commitment game-a duopoly with endogenous timing of entry. We show that, for an empirically reasonable average number of thinking steps, the model rules out Stackelberg equilibria, generates Cournot outcomes including delay, and outcomes where the first mover commits to a quantity higher than Cournot but lower than Stackelberg leader. We show that a cognitive hierarchy model with quantal responses can explain the most important features of the experimental data on the action commitment game in (2002). In order to gauge the success of the model in fitting the data, we compare it to a noisy Nash model. We find that the cognitive hierarchy model with quantal responses fits the data better than the noisy Nash model.

Model-based objects recognition in industrial environments for autonomous vehicles control

Behavior-based navigation of autonomous vehicles requires the recognition of the navigable areas and the potential obstacles. In this paper we describe a model-based objects recognition system which is part of an image interpretation system intended to assist the navigation of autonomous vehicles that operate in industrial environments. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using a rule-based cooperative expert system

Model-based objects recognition in man-made environments

We describe a model-based objects recognition system which is part of an image interpretation system intended to assist autonomous vehicles navigation. The system is intended to operate in man-made environments. Behavior-based navigation of autonomous vehicles involves the recognition of navigable areas and the potential obstacles. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using CEES, the C++ embedded expert system shell developed in the Systems Engineering and Automatic Control Laboratory (University of Girona) as a specific rule-based problem solving tool. It has been especially conceived for supporting cooperative expert systems, and uses the object oriented programming paradigm