The required beta cell research for improving treatment of type 2 diabetes.

In healthy individuals, insulin resistance is associated with physiological conditions such as pregnancy or body weight gain and triggers an increase in beta cell number and insulin secretion capacity to preserve normoglycaemia. Failure of this beta cell compensation capacity is a fundamental cause of diabetic hyperglycaemia. Incomplete understanding of the molecular mechanisms controlling the plasticity of adult beta cells mechanisms and how these cells fail during the pathogenesis of diabetes strongly limits the ability to develop new beta cell-specific therapies. Here, current knowledge of the signalling pathways controlling beta cell plasticity is reviewed, and possible directions for future research are discussed.

Repeated Double-Poling Sprint Training in Hypoxia by Competitive Cross-country Skiers.

PURPOSE: Repeated-sprint training in hypoxia (RSH) was recently shown to improve repeated-sprint ability (RSA) in cycling. This phenomenon is likely to reflect fiber type-dependent, compensatory vasodilation, and therefore, our hypothesis was that RSH is even more beneficial for activities involving upper body muscles, such as double poling during cross-country skiing. METHODS: In a double-blinded fashion, 17 competitive cross-country skiers performed six sessions of repeated sprints (each consisting of four sets of five 10-s sprints, with 20-s intervals of recovery) either in normoxia (RSN, 300 m; FiO2, 20.9%; n = 8) or normobaric hypoxia (RSH, 3000 m; FiO2, 13.8 %; n = 9). Before (pre) and after (post) training, performance was evaluated with an RSA test (10-s all-out sprints-20-s recovery, until peak power output declined by 30%) and a simulated team sprint (team sprint, 3 × 3-min all-out with 3-min rest) on a double-poling ergometer. Triceps brachii oxygenation was measured by near-infrared spectroscopy. RESULTS: From pretraining to posttraining, peak power output in the RSA was increased (P < 0.01) to the same extent (29% ± 13% vs 26% ± 18%, nonsignificant) in RSH and in RSN whereas the number of sprints performed was enhanced in RSH (10.9 ± 5.2 vs 17.1 ± 6.8, P < 0.01) but not in RSN (11.6 ± 5.3 vs 11.7 ± 4.3, nonsignificant). In addition, the amplitude in total hemoglobin variations during sprints throughout RSA rose more in RSH (P < 0.01). Similarly, the average power output during all team sprints improved by 11% ± 9% in RSH and 15% ± 7% in RSN. CONCLUSIONS: Our findings reveal greater improvement in the performance of repeated double-poling sprints, together with larger variations in the perfusion of upper body muscles in RSH compared with those in RSN.

Market versus limit orders in an imperfectly competitive security

This paper analyzes the choice between limit and market orders in animperfectly competitive noisy rational expectations economy. There is a uniqueinsider, who takes into account the effect their trading has on prices. If theinsider behaves as a price taker, she will choose market orders if her privateinformation is very precise and she will choose limit orders otherwise. On thecontrary, if the insider recognizes and exploits her ability to affect themarket price, her optimal choice is to place limit orders whatever the precisionof her private information.

Improving QPF by blending techniques at the Meteorological Service of Catalonia

The current operational very short-term and short-term quantitative precipitation forecast (QPF) at the Meteorological Service of Catalonia (SMC) is made by three different methodologies: Advection of the radar reflectivity field (ADV), Identification, tracking and forecasting of convective structures (CST) and numerical weather prediction (NWP) models using observational data assimilation (radar, satellite, etc.). These precipitation forecasts have different characteristics, lead time and spatial resolutions. The objective of this study is to combine these methods in order to obtain a single and optimized QPF at each lead time. This combination (blending) of the radar forecast (ADV and CST) and precipitation forecast from NWP model is carried out by means of different methodologies according to the prediction horizon. Firstly, in order to take advantage of the rainfall location and intensity from radar observations, a phase correction technique is applied to the NWP output to derive an additional corrected forecast (MCO). To select the best precipitation estimation in the first and second hour (t+1 h and t+2 h), the information from radar advection (ADV) and the corrected outputs from the model (MCO) are mixed by using different weights, which vary dynamically, according to indexes that quantify the quality of these predictions. This procedure has the ability to integrate the skill of rainfall location and patterns that are given by the advection of radar reflectivity field with the capacity of generating new precipitation areas from the NWP models. From the third hour (t+3 h), as radar-based forecasting has generally low skills, only the quantitative precipitation forecast from model is used. This blending of different sources of prediction is verified for different types of episodes (convective, moderately convective and stratiform) to obtain a robust methodology for implementing it in an operational and dynamic way.

BIO-INSPIRED COMPUTATIONAL TECHNIQUES APPLIED TO THE CLUSTERING AND VISUALIZATION OF SPATIO-TEMPORAL GEOSPATIAL DATA

The coverage and volume of geo-referenced datasets are extensive and incessantly¦growing. The systematic capture of geo-referenced information generates large volumes¦of spatio-temporal data to be analyzed. Clustering and visualization play a key¦role in the exploratory data analysis and the extraction of knowledge embedded in¦these data. However, new challenges in visualization and clustering are posed when¦dealing with the special characteristics of this data. For instance, its complex structures,¦large quantity of samples, variables involved in a temporal context, high dimensionality¦and large variability in cluster shapes.¦The central aim of my thesis is to propose new algorithms and methodologies for¦clustering and visualization, in order to assist the knowledge extraction from spatiotemporal¦geo-referenced data, thus improving making decision processes.¦I present two original algorithms, one for clustering: the Fuzzy Growing Hierarchical¦Self-Organizing Networks (FGHSON), and the second for exploratory visual data analysis:¦the Tree-structured Self-organizing Maps Component Planes. In addition, I present¦methodologies that combined with FGHSON and the Tree-structured SOM Component¦Planes allow the integration of space and time seamlessly and simultaneously in¦order to extract knowledge embedded in a temporal context.¦The originality of the FGHSON lies in its capability to reflect the underlying structure¦of a dataset in a hierarchical fuzzy way. A hierarchical fuzzy representation of¦clusters is crucial when data include complex structures with large variability of cluster¦shapes, variances, densities and number of clusters. The most important characteristics¦of the FGHSON include: (1) It does not require an a-priori setup of the number¦of clusters. (2) The algorithm executes several self-organizing processes in parallel.¦Hence, when dealing with large datasets the processes can be distributed reducing the¦computational cost. (3) Only three parameters are necessary to set up the algorithm.¦In the case of the Tree-structured SOM Component Planes, the novelty of this algorithm¦lies in its ability to create a structure that allows the visual exploratory data analysis¦of large high-dimensional datasets. This algorithm creates a hierarchical structure¦of Self-Organizing Map Component Planes, arranging similar variables' projections in¦the same branches of the tree. Hence, similarities on variables' behavior can be easily¦detected (e.g. local correlations, maximal and minimal values and outliers).¦Both FGHSON and the Tree-structured SOM Component Planes were applied in¦several agroecological problems proving to be very efficient in the exploratory analysis¦and clustering of spatio-temporal datasets.¦In this thesis I also tested three soft competitive learning algorithms. Two of them¦well-known non supervised soft competitive algorithms, namely the Self-Organizing¦Maps (SOMs) and the Growing Hierarchical Self-Organizing Maps (GHSOMs); and the¦third was our original contribution, the FGHSON. Although the algorithms presented¦here have been used in several areas, to my knowledge there is not any work applying¦and comparing the performance of those techniques when dealing with spatiotemporal¦geospatial data, as it is presented in this thesis.¦I propose original methodologies to explore spatio-temporal geo-referenced datasets¦through time. Our approach uses time windows to capture temporal similarities and¦variations by using the FGHSON clustering algorithm. The developed methodologies¦are used in two case studies. In the first, the objective was to find similar agroecozones¦through time and in the second one it was to find similar environmental patterns¦shifted in time.¦Several results presented in this thesis have led to new contributions to agroecological¦knowledge, for instance, in sugar cane, and blackberry production.¦Finally, in the framework of this thesis we developed several software tools: (1)¦a Matlab toolbox that implements the FGHSON algorithm, and (2) a program called¦BIS (Bio-inspired Identification of Similar agroecozones) an interactive graphical user¦interface tool which integrates the FGHSON algorithm with Google Earth in order to¦show zones with similar agroecological characteristics.

Rising to Greatness An Imperative for Improving Iowa’s Schools, 2011

In the early 1990s, the Cold War ended, Back to the Future III was in theaters, and Iowa led the nation in reading and mathematics. Times have changed. A decade into the 21st century, Iowa has conceded its place at the top. During the past 20 years, achievement trends illustrate Iowa’s slide from a national leader in PK-12 education to a national average―sometimes below average―performer as other states (and nations) have accelerated past the state. Iowa students’ futures are at risk. Collectively, Iowa students are not hitting the mark in mathematics and reading competency. Sure, Iowa has its share of super-achievers. But the mass of Iowa students—not just underprivileged or minority students, but many of the majority white, relatively affluent students as well—are falling short of what is needed to attain quality jobs, growing incomes, and secure livelihoods in today’s globally competitive world. The world has moved beyond the industrial age and information age and is now in the innovation age. Students must be armed not only with knowledge, but also with skills and insights needed to critically analyze and innovate. The pressing problems and grand opportunities the world faces require that many more people contribute as innovators and problem solvers, not order takers and implementers. Innovators will prosper. Order takers will stagnate. The days of an abundance of low-skill jobs have come to an end.

Market entry order and competitive advantage of the firm

A firm that wishes to launch a new product to the market is faced with a difficult task of deciding what the best moment for the launch is. Timing may also be critical when a firm plans to adopt new processes or intends to head for new markets. The critical question the firm needs to tackle is whether it will try to reach the so-called first-mover advantage by acting earlier than its rivals. The first-mover position may reward the entrant with various opportunities to gain competitive advantage over later movers. However, there are also great risks involved in the early market entry, and sometimes the very first entrant fails even before the followers enter the market. The follower, on the other hand, may be able to free-ride on the earlier entrants' investments and gain from the languished uncertainties that characterize the new markets. According to the current understanding the occurrence of entry order advantages depends not only on the mechanism and attributes in the firm's environment that provide the initial opportunities but also on the firm's ability to capitalize on these advantage opportunities. This study contributes to this discussion by analyzing the linkages between the asset base of the firm, characteristics of the operating environment and the firm's entry timing orientation. To shed light on the relationship between the entry timing strategy and competitive advantage, this study utilizes the concept of entry timing orientation. The rationale for choosing this type of approach arises from the inability of previously employed research tools to reach the underlying factors that result in entry timing advantage. The work consists of an introductory theoretical discussion on entry timing advantages and of four research publication. The empirical findings support the understanding that entry timing advantage is related to the characteristics of the firm's operating environment but may also be related to firm-specific factors. This in turn suggests that some of the traditional ways of detecting and measuring first-mover advantage - which to some extent ignore these dimensions - may be outdated.

Improving distributed simulation in a workstation environment

Technological development brings more and more complex systems to the consumer markets. The time required for bringing a new product to market is crucial for the competitive edge of a company. Simulation is used as a tool to model these products and their operation before actual live systems are built. The complexity of these systems can easily require large amounts of memory and computing power. Distributed simulation can be used to meet these demands. Distributed simulation has its problems. Diworse, a distributed simulation environment, was used in this study to analyze the different factors that affect the time required for the simulation of a system. Examples of these factors are the simulation algorithm, communication protocols, partitioning of the problem, distributionof the problem, capabilities of the computing and communications equipment and the external load. Offices offer vast amounts of unused capabilities in the formof idle workstations. The use of this computing power for distributed simulation requires the simulation to adapt to a changing load situation. This requires all or part of the simulation work to be removed from a workstation when the owner wishes to use the workstation again. If load balancing is not performed, the simulation suffers from the workstation's reduced performance, which also hampers the owner's work. Operation of load balancing in Diworse is studied and it is shown to perform better than no load balancing, as well as which different approaches for load balancing are discussed.

Assessing e-procurement System for Improving the Purchasing Operations

Diplomityön tavoitteena oli luoda suunnitelma elektronisen hankintatoimen aloittamiseksi, analysoimalla nykyisiä ostoprosesseja ja konsernin laajuista elektronista hankintajärjestelmää. Työ pohjautuu yritysten väliseen elektroniseen kauppaan, elektroniseen hankintatoimeen ja systeemisuunnitteluun liittyvään kirjallisuuteen. Työssä tehdyn suunnitelman tarkoituksena on auttaa Siemens Oy:tä siirtymään uuteen elektroniseen ostotoimintaan. Elektroniselle ostotoiminnalle suunniteltiin tavoitteet ja näitä vastaavat vaatimukset. Elektronisen hankintajärjestelmän analysointi perustuu kirjallisuudessa esitettyihin järjestelmän elinkaari-mallin vaiheisiin. Analysoinnin tarkoituksena oli saada selville järjestelmän soveltuvuus Siemens Oy: n liiketoimintaympäristöön, prosesseihin ja vaatimuksiin. Elektronisen hankintatoiminnan etuja ovat liiketoiminta prosessien johtamisen parantuminen, kustannusten väheneminen sekä taloudellisen suorituskyvyn lisääntyminen. Elektronisen hankintatoiminnan aloittaminen vaatii kuitenkin huolellista suunnittelua. Työssä tehdyt suunnitelmat ja analysoinnit auttavat arvioidessa järjestelmän sopivuutta Siemens Oy: n vaatimuksiin. Oikean ja toimivan järjestelmän valinta ei kuitenkaan takaa elektronisesta hankintatoiminnasta hyötymistä. Tärkeimpiä jatkotoimenpiteitä onkin suorittaa kustannus/hyöty analyysi ja arvioida toimittajien halukkuutta ja kykyjä osallistua markkinapaikkaan.

The accumulation of financial and social capital as a means to achieve a sustained competitive advantage for consumer co-operatives

By so far, scholars have discussed how the characteristics of consumer co-operatives (cooperative principles, values and the dual role of members as the users and owners) can potentially give them a competitive advantage over investor-owned firms (IOFs). In addition, concern for the community (as partly derived from locality and regionality) has been seen as a potential source of success for consumer co-operatives. On the other hand, the geographicbound purpose of consumer co-operation causes that consumer co-operative can be regarded as a challenging company form to manage. This is because, according to the purpose of consumer co-operation, co-operatives are obligated to 1) provide the owners with services and goods that are needed and do so at more affordable prices than their competitors do and/or 2) to operate in areas in which competitors do not want to operate (for example, because of the low profitability in certain area of business or region). Thus, consumer co-operatives have to operate very efficiently in order to execute this geographic-bound corporate purpose (e.g. they cannot withdraw from the competition during the declining stages of business). However, this efficiency cannot be achieved by any means; as the acceptance from the important regional stakeholders is the basic operational precondition and lifeline in the long run. Thereby, the central question for the survival and success of consumer co-operatives is; how should the consumer co-operatives execute its corporate purpose so it can be the best alternative to its members in the long run? This question has remained unanswered and lack empirical evidence in the previous studies on the strategic management of consumer cooperation. In more detail, scholars have not yet empirically investigated the question: How can consumer co-operatives use financial and social capital to achieve a sustained competitive advantage? It is this research gap that this doctoral dissertation aims to fulfil. This doctoral dissertation aims to answer the above questions by combining and utilizing interview data from S Group co-operatives and the central organizations in S Group´s network (overall, 33 interviews were gathered), archival material and 56 published media articles/reports. The study is based on a qualitative case study approach that is aimed at theory development, not theory verification (as the theory is considered as nascent in this field of study). Firstly, the findings of this study indicate that consumer co-operatives accumulate financial capital; 1) by making profit (to invest and grow) and 2) by utilizing a network-based organizational structure (local supply chain economies). As a result of financial capital accumulation, consumer co-operatives are able to achieve efficiency gains but also remain local. In addition, a strong financial capital base increases consumer co-operatives´ independence, competitiveness and their ability to participate in regional development (which is in accordance with their geographically bound corporate purpose). Secondly, consumer cooperatives accumulate social capital through informal networking (with important regional stakeholders), corporate social responsibility (CSR) behaviour and CSR reporting, pursuing common good, and interacting and identity sharing. As a result of social capital accumulation, consumer co-operatives are able to obtain the resources for managing; 1) institutional dependencies and 2) customer relations. By accumulating both social and financial capital through the above presented actions, consumer co-operatives are able to achieve sustained competitive advantage. Finally, this thesis provides useful ideas and new knowledge for cooperative managers concerning why and how consumer co-operatives should accumulate financial and social capital (to achieve sustained competitive advantage), while aligning with their corporate purpose.

Työkyvyn johtaminen : Case Pirkanmaan Osuuskauppa

Tämän tutkimuksen tarkoituksena oli tutkia miten Pirkanmaan Osuuskaupan esimiehet ymmärtävät työhyvinvoinnin merkityksen esimiestyössään ja mitä asioita heidän tulisi vielä kehittää työhyvinvointi osaamisessaan. Työkyvyn johtamista verrattiin Elinkeinoelämän keskusliiton luomaan työkyvynjohtamisen malliin. Tutkimuksen pohjalta laadittiin ehdotuksia, jotta esimiesten osaamista, ymmärtämystä ja kykyä hyödyntää työhyvinvoinnin välineitä voitaisiin kehittää ja ylläpitää oikeilla toimenpiteillä. Yrityksissä työhyvinvointiin on alettu kiinnittää entistä enemmän huomiota kiireisen työtahdin, työn vaatimusten sekä työurien mahdollisten pidentymisen vuoksi, jolloin työnantajan lisäksi vaaditaan myös työntekijöiltä panostusta työhyvinvointiin. Tutkimus toteutettiin käyttämällä laadullista menetelmää. Aineiston keruu tehtiin puolistrukturoidun teemahaastattelun avulla. Haastatteluihin valikoitui 4 esimiestä. Haastattelujen avulla kartoitettiin esimiesten tietoja ja näkemyksiä työhyvinvoinnista ja heidän työhyvinvointiosaamisen tasosta. Tutkimuksen avulla selvisi, että esimiesten keskuudessa työhyvinvoinnin ylläpitämiseen ja kehittämiseen panostetaan vähemmän kuin mitä olisi mahdollista. Suurimmiksi esteiksi työhyvinvoinnin toteuttamiselle muodostuivat aika, resurssit ja asenteet. Pirkanmaan Osuuskaupan johtamistyön ja toimintatapojen välillä on eroja verrattuna Elinkeinoelämän keskusliiton työkykyjohtamisen malliin. Esimiestyö on mahdollisuuksia täynnä oleva kilpailuetu, mutta samalla myös huomattava haaste.

Improving business processes in a globally dispersed make-to-order supply chain. Case study on outbound logistics in a Multinational Corporation

The purpose of this thesis is to find out how outbound logistics process can be improved by reducing unnecessary waste in a globally dispersed make-to-order (MTO) supply chain. The research problem was addressed by a multinational corporation that aims to find a solution for reducing unnecessary waste in their outbound logistics process. The focus is on customized products that are delivered via sea transportation. Theoretical framework for improving outbound logistics processes in globally dispersed MTO supply chain was created based on business process management, Porter’s value chain theory, value stream mapping and current reality tree. The empirical research was conducted by using constructive approach due to its ability to research a practical problem and to improve the existing practices. The data was collected from ten semi-structured interviews and three non-participant observations. By analysing the data and applying the theoretical framework, five types of waste were detected in the process that were seen to derive from six root causes. Practical solution was constructed to reduce the waste in the process by combining the existing literature with the ideas raising from empirical data. The results of this thesis suggest that a MNC with a globally dispersed MTO supply chain can improve its outbound logistics process by applying activities that enhance internal and external integration, collaboration and coordination, and increase predictability of the process. This research has practical relevance both for the case company as well as for other MNCs with globally dispersed MTO supply chains that aim to improve their outbound logistics processes. This research contributes to the BPM and CRA research by providing an evidence for their applicability in the new context.

Sähkösuodattimen mahdollisuudet sisäilman parantajana

Diplomityön tavoitteena oli selvittää, kuinka sähkösuodattimella voidaan vaikuttaa sisäilman laatuun ja kuinka kilpailukykyinen vaihtoehto pienkiinteistöissä sähkösuodatin on perinteisiin kuitusuodattimiin verrattuna. Teoriaosassa tarkasteltiin, kuinka ilman hengitettävät hiukkaset muodostuvat ja miten ne vaikuttavat sisäilman laatuun sekä ihmisten terveyteen. Tarkasteltiin hiukkasten koon, lukumäärän, massan ja pinta-alan yhteyksiä niiden terveysvaikutuksiin. Ultrapienet hiukkaset ovat terveydelle haitallisimpia, koska hiukkasten lukumäärä ja pinta-ala lisäävät terveyshaittoja enemmän kuin hiukkasten massa. Tutkittiin pienkiinteistöjen ilmanvaihtoratkaisuja ja erilaisia tuloilmanpuhdistus-menetelmiä. Soveltavassa osassa tarkasteltiin sähkösuodattimen toimintaa ja sen mahdollisuuksia sisäilman parantajana verrattuna perinteisiin kuitusuodattimiin. Tehtiin sähkösuodattimen ja kuitusuodattimen välinen elinkaarikustannusvertailu keskisuurelle omakotitalolle. Kirjallisuuden ja tutkimushavaintojen perusteella sähkösuodattimen suurin etu muihin suodattimiin verrattuna on sen kyky poistaa kaiken kokoisia, myös ultrapieniä, hengitettäviä hiukkasia ja siten tehokkaasti vähentää hengitettävien hiukkasten lukumäärää ja pinta-alaa. Tällä voi olla vaikutusta yleisten terveyshaittojen ja ympäristöherkkyyden ennaltaehkäisemisessä. Ympäristöherkkyyteen sairastuneiden oireiluun sähkösuodatin voi tuottaa helpotusta kotioloissa ja siirrettävän ilmanpuhdistimen avulla myös työpaikoilla. Elinkaarikustannusvertailun perusteella selvisi, että sähkösuodatin on kalliimmasta hinnastaan huolimatta kokonaiskustannuksiltaan selvästi edullisempi vaihtoehto kuin kuitusuodattimet. Sähkösuodattimen haasteena on uuden teknologian lanseeraaminen pientalorakentamiseen. Pienrakennusten tuloilman puhdistusmenetelmien kehittämisellä olisi mahdollista parantaa suomalaisten elämänlaatua ja saavuttaa merkittäviä säästöjä terveydenhoitokuluissa.

Improving the Scalability of Reduct Determination in Rough Sets

Rough Set Data Analysis (RSDA) is a non-invasive data analysis approach that solely relies on the data to find patterns and decision rules. Despite its noninvasive approach and ability to generate human readable rules, classical RSDA has not been successfully used in commercial data mining and rule generating engines. The reason is its scalability. Classical RSDA slows down a great deal with the larger data sets and takes much longer times to generate the rules. This research is aimed to address the issue of scalability in rough sets by improving the performance of the attribute reduction step of the classical RSDA - which is the root cause of its slow performance. We propose to move the entire attribute reduction process into the database. We defined a new schema to store the initial data set. We then defined SOL queries on this new schema to find the attribute reducts correctly and faster than the traditional RSDA approach. We tested our technique on two typical data sets and compared our results with the traditional RSDA approach for attribute reduction. In the end we also highlighted some of the issues with our proposed approach which could lead to future research.

Extensive characterization of Campylobacter jejuni chicken isolates to uncover genes involved in the ability to compete for gut colonization

Background: Campylobacter jejuni is responsible for human foodborne enteritis. This bacterium is a remarkable colonizer of the chicken gut, with some strains outcompeting others for colonization. To better understand this phenomenon, the objective of this study was to extensively characterize the phenotypic performance of C. jejuni chicken strains and associate their gut colonizing ability with specific genes. Results: C. jejuni isolates (n = 45) previously analyzed for the presence of chicken colonization associated genes were further characterized for phenotypic properties influencing colonization: autoagglutination and chemotaxis as well as adhesion to and invasion of primary chicken caecal cells. This allowed strains to be ranked according to their in vitro performance. After their in vitro capacity to outcompete was demonstrated in vivo, strains were then typed by comparative genomic fingerprinting (CGF). In vitro phenotypical properties displayed a linear variability among the tested strains. Strains possessing higher scores for phenotypical properties were able to outcompete others during chicken colonization trials. When the gene content of strains was compared, some were associated with different phenotypical scores and thus with different outcompeting capacities. Use of CGF profiles showed an extensive genetic variability among the studied strains and suggested that the outcompeting capacity is not predictable by CGF profile. Conclusion: This study revealed a wide array of phenotypes present in C. jejuni strains, even though they were all recovered from chicken caecum. Each strain was classified according to its in vitro competitive potential and its capacity to compete for chicken gut colonization was associated with specific genes. This study also exposed the disparity existing between genetic typing and phenotypical behavior of C. jejuni strains.