Acute and long-term effects of peroxisome proliferator-activated receptor-γ activation on the function and insulin secretory responsiveness of clonal beta-cells

Thiazolidinediones (TZDs) are used as antidiabetic therapy. The purpose of the present study was to examine whether the TZD rosiglitazone has direct actions on pancreatic beta-cells that contribute to its overall effects. Effects of acute and prolonged (48 h) exposure to rosiglitazone, as a model glitazone compound, were assessed in clonal pancreatic BRIN-BD11 beta-cells maintained in standard, glucotoxic and lipotoxic cultures. In acute 20-min incubations, rosiglitazone (0.2-100 M) did not alter basal or glucose-stimulated insulin secretion. However, rosiglitazone (6.25 M) enhanced (p

Long-term inhibition of return of attention

During search of the environment, the inhibition of the return (IOR) of attention to already-examined information ensures that the target will ultimately be detected. Until now, inhibition was assumed to support search of information during one processing episode. However, in some situations search may have to be completed long after it was begun. We therefore propose that inhibition can be associated with an episode encoded into memory such that later retrieval reinstates inhibitory processing and encourages examination of new information. In two experiments in which attention was drawn to face stimuli with an exogenous cue, we demonstrated for the first time the existence of long-term IOR. Interestingly, this was the case only for faces in the left visual field, perhaps because more efficient processing of faces in the right hemisphere than the left hemisphere results in richer, more retrievable memory representations.

Long-term drivers of broadband traffic in next-generation networks

This paper is concerned with long-term (20+ years) forecasting of broadband traffic in next-generation networks. Such long-term approach requires going beyond extrapolations of past traffic data while facing high uncertainty in predicting the future developments and facing the fact that, in 20 years, the current network technologies and architectures will be obsolete. Thus, "order of magnitude" upper bounds of upstream and downstream traffic are deemed to be good enough to facilitate such long-term forecasting. These bounds can be obtained by evaluating the limits of human sighting and assuming that these limits will be achieved by future services or, alternatively, by considering the contents transferred by bandwidth-demanding applications such as those using embedded interactive 3D video streaming. The traffic upper bounds are a good indication of the peak values and, subsequently, also of the future network capacity demands. Furthermore, the main drivers of traffic growth including multimedia as well as non-multimedia applications are identified. New disruptive applications and services are explored that can make good use of the large bandwidth provided by next-generation networks. The results can be used to identify monetization opportunities of future services and to map potential revenues for network operators. © 2014 The Author(s).

The Long-Term impact of Business Support? - Exploring the Role of Evaluation Timing using Micro Data

The original contribution of this work is threefold. Firstly, this thesis develops a critical perspective on current evaluation practice of business support, with focus on the timing of evaluation. The general time frame applied for business support policy evaluation is limited to one to two, seldom three years post intervention. This is despite calls for long-term impact studies by various authors, concerned about time lags before effects are fully realised. This desire for long-term evaluation opposes the requirements by policy-makers and funders, seeking quick results. Also, current ‘best practice’ frameworks do not refer to timing or its implications, and data availability affects the ability to undertake long-term evaluation. Secondly, this thesis provides methodological value for follow-up and similar studies by using data linking of scheme-beneficiary data with official performance datasets. Thus data availability problems are avoided through the use of secondary data. Thirdly, this thesis builds the evidence, through the application of a longitudinal impact study of small business support in England, covering seven years of post intervention data. This illustrates the variability of results for different evaluation periods, and the value in using multiple years of data for a robust understanding of support impact. For survival, impact of assistance is found to be immediate, but limited. Concerning growth, significant impact centres on a two to three year period post intervention for the linear selection and quantile regression models – positive for employment and turnover, negative for productivity. Attribution of impact may present a problem for subsequent periods. The results clearly support the argument for the use of longitudinal data and analysis, and a greater appreciation by evaluators of the factor time. This analysis recommends a time frame of four to five years post intervention for soft business support evaluation.

The long-term impact of business support? - Exploring the role of evaluation timing using micro data

The original contribution of this work is threefold. Firstly, this thesis develops a critical perspective on current evaluation practice of business support, with focus on the timing of evaluation. The general time frame applied for business support policy evaluation is limited to one to two, seldom three years post intervention. This is despite calls for long-term impact studies by various authors, concerned about time lags before effects are fully realised. This desire for long-term evaluation opposes the requirements by policy-makers and funders, seeking quick results. Also, current ‘best practice’ frameworks do not refer to timing or its implications, and data availability affects the ability to undertake long-term evaluation. Secondly, this thesis provides methodological value for follow-up and similar studies by using data linking of scheme-beneficiary data with official performance datasets. Thus data availability problems are avoided through the use of secondary data. Thirdly, this thesis builds the evidence, through the application of a longitudinal impact study of small business support in England, covering seven years of post intervention data. This illustrates the variability of results for different evaluation periods, and the value in using multiple years of data for a robust understanding of support impact. For survival, impact of assistance is found to be immediate, but limited. Concerning growth, significant impact centres on a two to three year period post intervention for the linear selection and quantile regression models – positive for employment and turnover, negative for productivity. Attribution of impact may present a problem for subsequent periods. The results clearly support the argument for the use of longitudinal data and analysis, and a greater appreciation by evaluators of the factor time. This analysis recommends a time frame of four to five years post intervention for soft business support evaluation.

Education 2.0: Exploring the challenges of Corvinus University in the long tail economy of global higher education

Our basic storyline is how the business and economics higher education landscape has changed with the introduction of the Bologna programs. We borrowed the fashionable long tail concept from e-business, and used it for modeling the new landscape of internationalization of universities. Internationalization, mobility, and the appearance of the internet generation at the gates of our universities in our opinion has brought us to a new e-era which, appropriately to our web analogies we might as well call Education 2.0.In our paper first we show the characteristics of the long tail model of the Bologna-based European higher education and potential messages for strategy making in this environment. We illustrate that benchmarking university strategies situated in the head of the long tail model will not always provide strategic guidance for universities sitting in the tail. For underlining some key concerns in the Hungarian niche, we used Corvinus University as a case study to illustrate some untapped challenges of the Hungarian Bologna reform. We explored three areas which are crucial elements of the “tail” strategy in our opinion: a) the influence of state regulation, b) social situations and impacts and c) internal university capabilities.

Karl Marx és Karl Menger néhány gondolata a pénz eredetéről = The thoughts of Karl Marx and Karl Menger about the origin of money

Kisebb bizonytalankodás után a legtöbb közgazdászhallgató a pénz funkcióinak felsorolásába kezd, ha megkérdezik, hogyan határozná meg a pénz fogalmát. A gyakorlatiasabb, vagy a számvitel iránt elkötelezettebb diákok esetleg felidézik a banki mérleget és – részben helyesen – a pénzt kötelezettségként helyezik el benne. Mintha azonban még mindig egy kicsit pironkodnánk, hogy nem találjuk a megfelelő definíciót. És ez már így megy évszázadok óta. Jelen tanulmányban két XIX. századi közgazdász – Karl Marx és Karl Menger – néhány pénzelméleti következtetését igyekszem összehasonlítani, figyelembe véve az általuk képviselt közgazdasági elmélet alapvető eltéréseit. A mára általánosan elfogadottá váló szubjektív értékelmélet és a kissé elfeledett munkaérték-elmélet látszólag teljesen eltérő feltevéseire alapozva a két gondolkodó egészen hasonló eredményre jutott. Számukra a pénz nem egy egyszerű eszköz, sem követelés és kötelezettség, ahogyan most elkönyvelnénk, hanem áru. Eredetét nem állami törvényekből vezetik le, hanem társadalmi konszenzus során létrejött jelenségnek tekintik a pénzt, ami fölötte áll a törvényeknek, eredendően nem jelképet testesít meg, hanem különleges jószágként válik alkalmassá értékjel kifejezésére. / === / If being asked how to define money most students of economics would start listing the functions of money, or those students with more practical insight would place money as liability in the balance sheet of banks. It seems, however, as if we were still embarrassed by not finding the right definition. In the present study I am endeavouring to give a brief overview of various theoretical findings on the essence of money in the economy preceding the 19th century and then compare some money theoretical conclusions of two economists – Karl Marx and Karl Menger – considering the major differences of the economic theories represented by them. On the basis of the premises of the widely accepted subjective value theory and the somewhat forgotten labour theory of value the two 19th century thinkers came to rather similar results. For them money is not a simple means of payment, nor liability or claim, the way we would account for them now, but a special commodity. They do not attach its creation to the appearance of state laws on money as a legal tender but regard it as a social phenomenon which became capable of expressing a value token due to its peculiar characteristics.

The long term preservation of an 18th century gene bank heritage

The allée is one of the oldest instruments and forms of landscape architecture, which has often been used from the Antiquity for the expression of visual and functional relationships, for the delimitation of space, or for the pictorial creation of movement. The several hundred years old allées of the late baroque age, which still live among us as the witnesses of bygone times, represent a special value throughout Europe. The longevity and the respectable size as such bestow a certain value upon the trees. However, the allées also stand for a garden art, landscape, culture historical and natural value, which in a summarized way are called cultural heritage. Furthermore, the gene pool of the proven longevous, high tolerance tree specimens is a natural and genetic heritage of scientific signification. The age of the trees and allées is finite. Even with a careful and professional care, the renewal is inevitable, which, beyond technical problems of landscape architecture might raise many scientific, nature conservation, yes, esthetical and ethical questions. This is why there is no universal methodology, but there are aspects and examination procedures of general validity with the help of which a renewal can be prepared. The renewal concept of the lime tree allée in Nagycenk aims at the protection and the transmission of the value-ensemble embodied in the allée. One part of the value-ensemble is the spiritual, cultural heritage, the extraordinary value of the landscape-scaled, landscape architectural creation planted and taken care of by the Széchenyis. On the other hand the two and a half centuries old trees represent an inestimable botanical and genetic wealth. Its transmission and preservation is a scientifically important program coming up to the Széchenyi heritage. After the registration of the originally planted old trees, the complete nursery material of the “Széchenyi limes” necessary for the replanting can be produced by vegetative propagation. The gradual replacement of the stand with its own propagation material, by the carefully raised nursery trees of the same age can be a model for the gene-authentic renewal method – a novelty even at an international level.

Long-Term Effects of Adding Nutrients to an Oligotrophic Coastal Environment

Management of ecological disturbances requires an understanding of the time scale and dynamics of community responses to disturbance events. To characterize long-term seagrass bed responses to nutrient enrichment, we established six study sites in Florida Bay, USA. In 24 plots (0.25 m2) at each site, we regularly added nitrogen (N) and phosphorus (P) in a factorial design for 7 years. Five of the six sites exhibited strong P limitation. Over the first 2 years, P enrichment increased Thalassia testudinum cover in the three most P-limited sites. After 3 years, Halodule wrightii began to colonize many of the P-addition plots, but the degree of colonization was variable among sites, possibly due to differences in the supply of viable propagules. Thalassia increased its allocation to aboveground tissue in response to P enrichment; Halodule increased in total biomass but did not appear to change its aboveground: belowground tissue allocation. Nutrient enrichment did not cause macroalgal or epiphytic overgrowth of the seagrass. Nitrogen retention in the study plots was variable but relatively low, whereas phosphorus retention was very high, often exceeding 100% of the P added as fertilizer over the course of our experiments. Phosphorus retentions exceeding 100% may have been facilitated by increases in Thalassia aboveground biomass, which promoted the settlement of suspended particulate matter containing phosphorus. Our study demonstrated that lowintensity press disturbance events such as phosphorus enrichment can initiate a slow, ramped successional process that may alter community structure over many years.

Long-term mortality of hospitalized pneumonia in the EPIC-Norfolk cohort

Peer reviewed

Long-term mortality of hospitalized pneumonia in the EPIC-Norfolk cohort

Peer reviewed

Long-term mortality of hospitalized pneumonia in the EPIC-Norfolk cohort

Peer reviewed

Long term effects of gestational hypertension and pre-eclampsia on kidney function : Record linkage study

This research was funded by the Chief Scientists Office, Scotland (CZH/4/659).

Can a Broader Education Narrow the Gap? Evidence on Non-Academic Features of Schooling

Empirical studies of education programs and systems, by nature, rely upon use of student outcomes that are measurable. Often, these come in the form of test scores. However, in light of growing evidence about the long-run importance of other student skills and behaviors, the time has come for a broader approach to evaluating education. This dissertation undertakes experimental, quasi-experimental, and descriptive analyses to examine social, behavioral, and health-related mechanisms of the educational process. My overarching research question is simply, which inside- and outside-the-classroom features of schools and educational interventions are most beneficial to students in the long term? Furthermore, how can we apply this evidence toward informing policy that could effectively reduce stark social, educational, and economic inequalities?

The first study of three assesses mechanisms by which the Fast Track project, a randomized intervention in the early 1990s for high-risk children in four communities (Durham, NC; Nashville, TN; rural PA; and Seattle, WA), reduced delinquency, arrests, and health and mental health service utilization in adolescence through young adulthood (ages 12-20). A decomposition of treatment effects indicates that about a third of Fast Track’s impact on later crime outcomes can be accounted for by improvements in social and self-regulation skills during childhood (ages 6-11), such as prosocial behavior, emotion regulation and problem solving. These skills proved less valuable for the prevention of mental and physical health problems.

The second study contributes new evidence on how non-instructional investments – such as increased spending on school social workers, guidance counselors, and health services – affect multiple aspects of student performance and well-being. Merging several administrative data sources spanning the 1996-2013 school years in North Carolina, I use an instrumental variables approach to estimate the extent to which local expenditure shifts affect students’ academic and behavioral outcomes. My findings indicate that exogenous increases in spending on non-instructional services not only reduce student absenteeism and disciplinary problems (important predictors of long-term outcomes) but also significantly raise student achievement, in similar magnitude to corresponding increases in instructional spending. Furthermore, subgroup analyses suggest that investments in student support personnel such as social workers, health services, and guidance counselors, in schools with concentrated low-income student populations could go a long way toward closing socioeconomic achievement gaps.

The third study examines individual pathways that lead to high school graduation or dropout. It employs a variety of machine learning techniques, including decision trees, random forests with bagging and boosting, and support vector machines, to predict student dropout using longitudinal administrative data from North Carolina. I consider a large set of predictor measures from grades three through eight including academic achievement, behavioral indicators, and background characteristics. My findings indicate that the most important predictors include eighth grade absences, math scores, and age-for-grade as well as early reading scores. Support vector classification (with a high cost parameter and low gamma parameter) predicts high school dropout with the highest overall validity in the testing dataset at 90.1 percent followed by decision trees with boosting and interaction terms at 89.5 percent.

Short and Long Term Representation of an Unfamiliar Tone Distribution

We report on a study conducted to extend our knowledge about the process of gaining a mental representation of music. Several studies, inspired by research on the statistical learning of language, have investigated statistical learning of sequential rules underlying tone sequences. Given that the mental representation of music correlates with distributional properties of music, we tested whether participants are able to abstract distributional information contained in tone sequences to form a mental representation. For this purpose, we created an unfamiliar music genre defined by an underlying tone distribution, to which 40 participants were exposed. Our stimuli allowed us to differentiate between sensitivity to the distributional properties contained in test stimuli and long term representation of the distributional properties of the music genre overall. Using a probe tone paradigm and a two-alternative forced choice discrimination task, we show that listeners are able to abstract distributional properties of music through mere exposure into a long term representation of music. This lends support to the idea that statistical learning is involved in the process of gaining musical knowledge.