GATEKEEPING, GATEWATCHING, REALIMENTAÇÃO EM TEMPO REAL: novos desafios para o Jornalismo

Faz vários anos que se sabe como os blogueiros e outros comentaristas on-line independentes criticam, corrigem, e de outra maneira desafiam o jornalismo convencional, porém isto ainda não foi plenamente aceito pelos jornalistas; as hostilidades entre as empresas de mídia e a nova geração de jornalistas cidadãos continuam a irromper de vez em quando. O antigo monopólio de gatekeeping mantido pela mídia de massa tem sido desafiado pela nova prática de gatewatching: feita pelos blogueiros individuais e pelas comunidades de comentaristas que podem não fazer reportagem das notícias de primeira mão, porém fazem a curation e avaliam as notícias e outras informações fornecidas pelas fontes oficiais, e assim prestam um serviço importante. E isto ocorre atualmente com cada vez mais rapidez, quase em tempo real: usando as redes sociais mais recentes, que divulgam, compartilham, comentam, questionam e desacreditam as matérias noticiosas dentro de minutos, e usando plataformas adicionais que possibilitam a colaboração ad hoc rápida e eficaz entre os usuários. Quando centenas de voluntários podem provar dentro de alguns poucos dias que um ministro alemão foi culpado de plágio sério, quando o mundo inteiro fica sabendo de terremotos e tsunamis pelo Twitter – como é que o jornalismo consegue acompanhar tudo isto?

The measurement of adenosine and estrogen receptor expression in rat brains following ovariectomy using quantitative PCR analysis

In our laboratory we have developed a quantitative-polymerase chain reaction (Q-PCR) strategy to examine the differential expression of adenosine receptor (ADOR), A(1), A(2A), A(2B) and A(3), and estrogen receptors (ER) alpha and beta. Brain and uterine mRNA were first used to optimise specific amplification conditions prior to SYBR Green I real time analysis of receptor subtype expression. SYBR Green I provided a convenient and sensitive means of examining specific PCR amplification product in real time, and allowed the generation of standard curves from which relative receptor abundance could be determined. Real time Q-PCR analysis was then performed, to examine changes in receptor expression levels in brains of adult female Wistar rats 3-month post ovariectomy. Comparison with sham-operated age-matched control rats demonstrated both comparative and absolute-copy number changes in receptor levels. Evaluation of both analytical methods investigated 18S rRNA as an internal reference for comparative gene expression analysis in the brain. The results of this study revealed preferential repression of ADORA(2A) (>4-fold down) and consistent (>2-fold) down-regulation of ADORA(1), ADORA(3), and ER-beta, following ovariectomy. No change was found in ADORA(2B) or ER-alpha. Analysis of absolute copy number in this study revealed a correlation between receptor expression in response to ovariectomy, and relative receptor subtype abundance in the brain.

Sustaining social innovation enterprises through a design led innovation framework

Constant changes in the global economic environment require companies to revisit traditional assumptions about how businesses create and capture value (Teece, 2010). In recent years, management practice literature has focused largely on better understanding business models and business model innovation (Amit, Zott and Massa, 2010; Johnson, Christensen and Kagermann, 2008). Much has been written on the benefits of linking design and design thinking to organisational strategies and business transformation. However, very little has been researched and reported on regarding the impact of design led approaches to triple bottom-line opportunities such as, social innovation enterprise. In the context of this paper Design Led Innovation is defined as the tools and approaches which enable design thinking to be embedded as an element of cultural transformation within a business. Being Design Led requires a company to have a vision for top line growth founded on deep customer insights and expanded through customer and stakeholder engagements. The outcomes of this are then mapped to all aspects of the business, enabling the vision to be successfully implemented and achieved. It is the latter part of this definition where we believe Design Led Innovation has the greatest value in transforming social innovation enterprise into a sustainable business venture. However, we also acknowledge that enabling these firms to think strategically about their business model is difficult given the unique operational and funding challenges that often characterize many social enterprises. The purpose of this paper, therefore, is to pose the question, do sustainable innovation enterprise innovate their business model? And if so, how? It is the authors’ opinion that such enterprises only innovate at the product or system level without a complete understanding of the business model structure, which underpins the long term viability. However, in this paper we challenge this notion and explore if such firms can overcome their size and operational constraints to become sustainable enterprises using a design led approach. This is achieved through contextualizing business model innovation, briefly defining social innovation enterprise and profiling a new and emerging industry in Australia – Clean Technology. Future research challenges and opportunities are also presented.

Technicolor

In technicolor theories the scalar sector of the Standard Model is replaced by a strongly interacting sector. Although the Standard Model has been exceptionally successful, the scalar sector causes theoretical problems that make these theories seem an attractive alternative. I begin my thesis by considering QCD, which is the known example of strong interactions. The theory exhibits two phenomena: confinement and chiral symmetry breaking. I find the low-energy dynamics to be similar to that of the sigma models. Then I analyze the problems of the Standard Model Higgs sector, mainly the unnaturalness and triviality. Motivated by the example of QCD, I introduce the minimal technicolor model to resolve these problems. I demonstrate the minimal model to be free of anomalies and then deduce the main elements of its low-energy particle spectrum. I find the particle spectrum contains massless or very light technipions, and also technibaryons and techni-vector mesons with a high mass of over 1 TeV. Standard Model fermions remain strictly massless at this stage. Thus I introduce the technicolor companion theory of flavor, called extended technicolor. I show that the Standard Model fermions and technihadrons receive masses, but that they remain too light. I also discuss flavor-changing neutral currents and precision electroweak measurements. I then show that walking technicolor models partly solve these problems. In these models, contrary to QCD, the coupling evolves slowly over a large energy scale. This behavior adds to the masses so that even the light technihadrons are too heavy to be detected at current particle accelerators. Also all observed masses of the Standard Model particles can be generated, except for the bottom and top quarks. Thus it is shown in this thesis that, excluding the masses of third generation quarks, theories based on walking technicolor can in principle produce the observed particle spectrum.

Chemical mass closure and source-specific composition of atmospheric particles

It has been known for decades that particles can cause adverse health effects as they are deposited within the respiratory system. Atmospheric aerosol particles influence climate by scattering solar radiation but aerosol particles act also as the nuclei around which cloud droplets form. The principal objectives of this thesis were to investigate the chemical composition and the sources of fine particles in different environments (traffic, urban background, remote) as well as during some specific air pollution situations. Quantifying the climate and health effects of atmospheric aerosols is not possible without detailed information of the aerosol chemical composition. Aerosol measurements were carried out at nine sites in six countries (Finland, Germany, Czech, Netherlands, Greece and Italy). Several different instruments were used in order to measure both the particulate matter (PM) mass and its chemical composition. In the off-line measurements the samples were collected first on a substrate or filter and gravimetric and chemical analysis were conducted in the laboratory. In the on-line measurements the sampling and analysis were either a combined procedure or performed successively within the same instrument. Results from the impactor samples were analyzed by the statistical methods. This thesis comprises also a work where a method for the determination carbonaceous matter size distribution by using a multistage impactor was developed. It was found that the chemistry of PM has usually strong spatial, temporal and size-dependent variability. In the Finnish sites most of the fine PM consisted of organic matter. However, in Greece sulfate dominated the fine PM and in Italy nitrate made the largest contribution to the fine PM. Regarding the size-dependent chemical composition, organic components were likely to be enriched in smaller particles than inorganic ions. Data analysis showed that organic carbon (OC) had four major sources in Helsinki. Secondary production was the major source in Helsinki during spring, summer and fall, whereas in winter biomass combustion dominated OC. The significant impact of biomass combustion on OC concentrations was also observed in the measurements performed in Central Europe. In this thesis aerosol samples were collected mainly by the conventional filter and impactor methods which suffered from the long integration time. However, by filter and impactor measurements chemical mass closure was achieved accurately, and a simple filter sampling was found to be useful in order to explain the sources of PM on the seasonal basis. The online instruments gave additional information related to the temporal variations of the sources and the atmospheric mixing conditions.

Chemical and source characterisation of size-segregated urban air particulate matter

Recent epidemiological studies have shown a consistent association of the mass concentration of urban air thoracic (PM10) and fine (PM2.5) particles with mortality and morbidity among cardiorespiratory patients. However, the chemical characteristics of different particulate size ranges and the biological mechanisms responsible for these adverse health effects are not well known. The principal aims of this thesis were to validate a high volume cascade impactor (HVCI) for the collection of particulate matter for physicochemical and toxicological studies, and to make an in-depth chemical and source characterisation of samples collected during different pollution situations. The particulate samples were collected with the HVCI, virtual impactors and a Berner low pressure impactor in six European cities: Helsinki, Duisburg, Prague, Amsterdam, Barcelona and Athens. The samples were analysed for particle mass, common ions, total and water-soluble elements as well as elemental and organic carbon. Laboratory calibration and field comparisons indicated that the HVCI can provide a unique large capacity, high efficiency sampling of size-segregated aerosol particles. The cutoff sizes of the recommended HVCI configuration were 2.4, 0.9 and 0.2 μm. The HVCI mass concentrations were in a good agreement with the reference methods, but the chemical composition of especially the fine particulate samples showed some differences. This implies that the chemical characterization of the exposure variable in toxicological studies needs to be done from the same HVCI samples as used in cell and animal studies. The data from parallel, low volume reference samplers provide valuable additional information for chemical mass closure and source assessment. The major components of PM2.5 in the virtual impactor samples were carbonaceous compounds, secondary inorganic ions and sea salt, whereas those of coarse particles (PM2.5-10) were soil-derived compounds, carbonaceous compounds, sea salt and nitrate. The major and minor components together accounted for 77-106% and 77-96% of the gravimetrically-measured masses of fine and coarse particles, respectively. Relatively large differences between sampling campaigns were observed in the organic carbon content of the PM2.5 samples as well as the mineral composition of the PM2.5-10 samples. A source assessment based on chemical tracers suggested clear differences in the dominant sources (e.g. traffic, residential heating with solid fuels, metal industry plants, regional or long-range transport) between the sampling campaigns. In summary, the field campaigns exhibited different profiles with regard to particulate sources, size distribution and chemical composition, thus, providing a highly useful setup for toxicological studies on the size-segregated HVCI samples.

Search for a Light Higgs Boson in Central Exclusive Diffraction: Method and Detectors

By detecting leading protons produced in the Central Exclusive Diffractive process, p+p → p+X+p, one can measure the missing mass, and scan for possible new particle states such as the Higgs boson. This process augments - in a model independent way - the standard methods for new particle searches at the Large Hadron Collider (LHC) and will allow detailed analyses of the produced central system, such as the spin-parity properties of the Higgs boson. The exclusive central diffractive process makes possible precision studies of gluons at the LHC and complements the physics scenarios foreseen at the next e+e− linear collider. This thesis first presents the conclusions of the first systematic analysis of the expected precision measurement of the leading proton momentum and the accuracy of the reconstructed missing mass. In this initial analysis, the scattered protons are tracked along the LHC beam line and the uncertainties expected in beam transport and detection of the scattered leading protons are accounted for. The main focus of the thesis is in developing the necessary radiation hard precision detector technology for coping with the extremely demanding experimental environment of the LHC. This will be achieved by using a 3D silicon detector design, which in addition to the radiation hardness of up to 5×10^15 neutrons/cm2, offers properties such as a high signal-to- noise ratio, fast signal response to radiation and sensitivity close to the very edge of the detector. This work reports on the development of a novel semi-3D detector design that simplifies the 3D fabrication process, but conserves the necessary properties of the 3D detector design required in the LHC and in other imaging applications.

Straw Performance Studies and Quality Assurance for the ATLAS Transition Radiation Tracker

The Transition Radiation Tracker (TRT) of the ATLAS experiment at the LHC is part of the Inner Detector. It is designed as a robust and powerful gaseous detector that provides tracking through individual drift-tubes (straws) as well as particle identification via transition radiation (TR) detection. The straw tubes are operated with Xe-CO2-O2 70/27/3, a gas that combines the advantages of efficient TR absorption, a short electron drift time and minimum ageing effects. The modules of the barrel part of the TRT were built in the United States while the end-cap wheels are assembled at two Russian institutes. Acceptance tests of barrel modules and end-cap wheels are performed at CERN before assembly and integration with the Semiconductor Tracker (SCT) and the Pixel Detector. This thesis first describes simulations the TRT straw tube. The argon-based acceptance gas mixture as well as two xenon-based operating gases are examined for its properties. Drift velocities and Townsend coefficients are computed with the help of the program Magboltz and used to study electron drift and multiplication in the straw using the software Garfield. The inclusion of Penning transfers in the avalanche process leads to remarkable agreements with experimental data. A high level of cleanliness in the TRT s acceptance test gas system is indispensable. To monitor gas purity, a small straw tube detector has been constructed and extensively used to study the ageing behaviour of the straw tube in Ar-CO2. A variety of ageing tests are presented and discussed. Acceptance tests for the TRT survey dimensions, wire tension, gas-tightness, high-voltage stability and gas gain uniformity along each individual straw. The thesis gives details on acceptance criteria and measurement methods in the case of the end-cap wheels. Special focus is put on wire tension and straw straightness. The effect of geometrically deformed straws on gas gain and energy resolution is examined in an experimental setup and compared to simulation studies. An overview of the most important results from the end-cap wheels tested up to this point is presented.

Student perception of a new integrated anatomy practical program: Does students' prior learning make a difference?

While there is evidence that science and non-science background students display small differences in performance in basic and clinical sciences, early in a 4-year, graduate entry medical program, this lessens with time. With respect to anatomy knowledge, there are no comparable data as to the impact previous anatomy experience has on the student perception of the anatomy practical learning environment. A study survey was designed to evaluate student perception of the anatomy practical program and its impact on student learning, for the initial cohort of a new medical school. The survey comprised 19 statements requiring a response using a 5-point Likert scale, in addition to a free text opportunity to provide opinion of the perceived educational value of the anatomy practical program. The response rate for a total cohort of 82 students was 89%. The anatomy practical program was highly valued by the students in aiding their learning of anatomy, as indicated by the high mean scores for all statements (range: 4.04-4.7). There was a significant difference between the students who had and had not studied a science course prior to entering medicine, with respect to statements that addressed aspects of the course related to its structure, organization, variety of resources, linkage to problem-based learning cases, and fairness of assessment. Nonscience students were more positive compared to those who had studied science before (P levels ranging from 0.004 to 0.035). Students less experienced in anatomy were more challenged in prioritizing core curricular knowledge. © 2011 Wiley-Liss, Inc.

Primordial Perturbations from a Self-interacting Curvaton

Inflation is a period of accelerated expansion in the very early universe, which has the appealing aspect that it can create primordial perturbations via quantum fluctuations. These primordial perturbations have been observed in the cosmic microwave background, and these perturbations also function as the seeds of all large-scale structure in the universe. Curvaton models are simple modifications of the standard inflationary paradigm, where inflation is driven by the energy density of the inflaton, but another field, the curvaton, is responsible for producing the primordial perturbations. The curvaton decays after inflation as ended, where the isocurvature perturbations of the curvaton are converted into adiabatic perturbations. Since the curvaton must decay, it must have some interactions. Additionally realistic curvaton models typically have some self-interactions. In this work we consider self-interacting curvaton models, where the self-interaction is a monomial in the potential, suppressed by the Planck scale, and thus the self-interaction is very weak. Nevertheless, since the self-interaction makes the equations of motion non-linear, it can modify the behaviour of the model very drastically. The most intriguing aspect of this behaviour is that the final properties of the perturbations become highly dependent on the initial values. Departures of Gaussian distribution are important observables of the primordial perturbations. Due to the non-linearity of the self-interacting curvaton model and its sensitivity to initial conditions, it can produce significant non-Gaussianity of the primordial perturbations. In this work we investigate the non-Gaussianity produced by the self-interacting curvaton, and demonstrate that the non-Gaussianity parameters do not obey the analytically derived approximate relations often cited in the literature. Furthermore we also consider a self-interacting curvaton with a mass in the TeV-scale. Motivated by realistic particle physics models such as the Minimally Supersymmetric Standard Model, we demonstrate that a curvaton model within the mass range can be responsible for the observed perturbations if it can decay late enough.

Mass spectrometry and n-in-one analytics in early drug discovery: Combinatorial chemistry libraries, lipophilicity and absorption screening

This thesis describes current and past n-in-one methods and presents three early experimental studies using mass spectrometry and the triple quadrupole instrument on the application of n-in-one in drug discovery. N-in-one strategy pools and mix samples in drug discovery prior to measurement or analysis. This allows the most promising compounds to be rapidly identified and then analysed. Nowadays properties of drugs are characterised earlier and in parallel with pharmacological efficacy. Studies presented here use in vitro methods as caco-2 cells and immobilized artificial membrane chromatography for drug absorption and lipophilicity measurements. The high sensitivity and selectivity of liquid chromatography mass spectrometry are especially important for new analytical methods using n-in-one. In the first study, the fragmentation patterns of ten nitrophenoxy benzoate compounds, serial homology, were characterised and the presence of the compounds was determined in a combinatorial library. The influence of one or two nitro substituents and the alkyl chain length of methyl to pentyl on collision-induced fragmentation was studied, and interesting structurefragmentation relationships were detected. Two nitro group compounds increased fragmentation compared to one nitro group, whereas less fragmentation was noted in molecules with a longer alkyl chain. The most abundant product ions were nitrophenoxy ions, which were also tested in the precursor ion screening of the combinatorial library. In the second study, the immobilized artificial membrane chromatographic method was transferred from ultraviolet detection to mass spectrometric analysis and a new method was developed. Mass spectra were scanned and the chromatographic retention of compounds was analysed using extract ion chromatograms. When changing detectors and buffers and including n-in-one in the method, the results showed good correlation. Finally, the results demonstrated that mass spectrometric detection with gradient elution can provide a rapid and convenient n-in-one method for ranking the lipophilic properties of several structurally diverse compounds simultaneously. In the final study, a new method was developed for caco-2 samples. Compounds were separated by liquid chromatography and quantified by selected reaction monitoring using mass spectrometry. This method was used for caco-2 samples, where absorption of ten chemically and physiologically different compounds was screened using both single and nin- one approaches. These three studies used mass spectrometry for compound identification, method transfer and quantitation in the area of mixture analysis. Different mass spectrometric scanning modes for the triple quadrupole instrument were used in each method. Early drug discovery with n-in-one is area where mass spectrometric analysis, its possibilities and proper use, is especially important.

Suomen sahateollisuuden supistumisen ja tulevaisuuden kuvien aluetaloudelliset vaikutukset

Sahateollisuuden tuotantokapasiteetti on vähentynyt viime vuosina paljon. Syvä lama on leikannut vientiä ja myös rakentaminen on hiljentynyt. Tämä on pakottanut sopeuttamistoimiin samaan tapaan kuin massa- ja paperiteollisuuden kohdalla. Mikäli tällekin vuodelle suunnitellut toimet toteutuvat, yhteensä yksitoista sahaa ja seitsemän jalostetehdasta on suljettu. Kapasiteetin leikkaukset koskevat yhteensä kahtatoista maakuntaa ja viittätoista seutukuntaa. Puolet leikkauksista kohdistuu pieniin seutukuntiin, joka lisää aluetalouden sopeutumishaastetta. Tutkimuksessa on selvitetty sahojen ja jalostetehtaiden sulkemisten aluetaloudellisia vaikutuksia seutukuntien taloudelliseen kasvuun ja työllisyyteen. Sahateollisuuden menetyksiä verrattiin maakuntatasolla massa- ja paperiteollisuuden vastaaviin. Lisäksi tarkasteltiin alan kolmea tulevaisuuden kuvaa Suomen tasolla. Laskelmat suoritettiin alueellisella yleisen tasapainon RegFinDyn-simulointimallilla. Tarkasteluperiodi oli sulkemisten osalta vuodet 2004–2013 ja vuodet 2010–2014 tulevaisuuden kuvien kohdalla. Sulkemisten vaikutus seutukuntien taloudelliseen kasvuun näyttäisi jäävän suhteellisen pieneksi. Aluetalous sopeutuisi uuteen tilanteeseen muiden alojen kompensoidessa osan menetyksistä. Talouskasvun menetykset ovat yhteensä 173,8 miljoonaa euroa, jos Varkauden sahaa ei suljeta ja 184,7 miljoonaa, jos sulkeminen tapahtuu. Tilanne näyttäisi samalta työllisyyden suhteen. Työllisyyden menetykset ovat vastaavasti yhteensä 2 693 henkilötyövuotta tai 3 031. Menetysten osuus maakuntien yhteenlasketusta BKT:sta ja työllisyydestä on 0,3 %. Tämä on vähemmän kuin massa- ja paperiteollisuudessa. Ongelmalliseksi tilanteen tekee se, että molemmat alat ovat menettäneet talouskasvua ja työllisyyttä viidessä maakunnassa. ETLA:n sahateollisuuden ja rakentamisen tuotantoennusteiden samoin kuin PTT:n hintaennusteiden mukaan tulevaisuus näyttäisi valoisammalta. Laman pohjan saavuttamisen jälkeen sekä tuotanto että kv-hinnat alkaisivat vahvistua tästä vuodesta lähtien. Tulevaisuuden kuvat muodostettiin näiden suhdanne-ennusteiden pohjalta. Mikäli myönteinen kehitys toteutuisi, Suomen BKT voisi kasvaa yhteensä 300–900 miljoonalla eurolla vuoden 2014 loppuun mennessä. Työllisyys voisi vahvistua 1 000–5 000 henkilötyövuodella. Sahateollisuuden sopeuttaminen tulee jatkumaan, mikäli lama ei kohta hellitä. Alan kehitystä seurataan yleisellä tasolla, mutta myös sopeuttamisen aluetaloudellisten vaikutusten arviointia olisi syytä jatkaa.

Suomen metsäteollisuuden uusien mahdollisuuksien aluetaloudelliset vaikutukset

Biojalostamo lisäisi talouskasvua ja työllisyyttä Tutkimuksessa selvitettiin biojalostamotoiminnan aluetaloudellisia vaikutuksia Kymenlaakson ja Satakunnan maakuntiin. Biodieselin valmistus kohentaisi molemmilla alueilla talouskasvua yhteensä 3,0–3,5 prosenttiyksiköllä eli noin 200 miljoonalla eurolla vuoteen 2020 mennessä. Työllisyys paranisi Kymenlaaksossa 437 ja Satakunnassa 420 henkilötyövuodella. Biojalostamotoiminta näyttäisi tukevan työllisyyttä suhteellisesti vähemmän kuin talouskasvua johtuen alan pääomavaltaisuudesta. Kymenlaakso hyötyisi biojalostamosta hiukan enemmän kuin Satakunta johtuen aluetalouksien rakenteellisista eroista. Metsäteollisuuden menetyksiä voitaisiin kompensoida Kymenlaakso on kärsinyt metsäteollisuuden supistumisesta tähän asti suurimmat menetykset. Biojalostamon perustaminen Kymenlaaksoon voisi merkittävästi korvata paperin tuotannon laskusta aiheutuneita menetyksiä. Talouskasvun suhteen biojalostamo voisi korvata puolet menetyksistä. Työllisyysmenetyksistä biojalostamotoiminta pystyisi kompensoimaan noin neljäsosan. Tukien merkitystä biojalostamon aluetaloudellisiin vaikutuksiin selvitettiin tukityypeittäin ja -tasoittain. Sekä raaka-aine- että tuotantotukivaikutukset jäivät simuloinneissa vaatimattomiksi. Tukien tehottomuutta selittää niiden pienuus. Muut toimialat kärsivät biojalostamoalan tukemisesta, mikä vähentää tukien aluetaloudellista vaikuttavuutta. Toisaalta reaalimaailmassa tuet voivat olla ratkaisevassa asemassa bioenergia-alan käynnistyessä ja sen kehityksen alkumetreillä. Bioenergia-strategian mukainen kehitys tuottaisi tulosta Bioenergian käytön lisäämisen aluetaloudellista vaikuttavuutta tutkittiin Keski-Suomen maakuntaa koskevan tapaustutkimuksen avulla. Vaikutusten laskenta pohjautui maakunnan bioenergian käytön tavoitteiden mukaisiin määriin. Mikäli bioenergian käyttö kasvaisi Keski-Suomessa neljällä terawattitunnilla vuoteen 2015 mennessä, vaikutus talouskasvuun olisi yhteensä 0,5 prosenttiyksikköä eli 35 miljoonaa euroa. Maakunnan työllisyys paranisi yli 200 henkilötyövuodella. Todennäköisesti myönteisiä aluetalousvaikutuksia vahvistaisi vielä alueen energiaostoista johtuvien vuotojen väheneminen energiaomavaraisuuden kasvaessa. Keski-Suomelle voisi kertyä hyötyjä myös bioenergiateknologian alan laitevalmistuksen osaamisen lisääntymisen kautta. Biojalostamotoiminta on täysin uudenlaista toimintaa, joten tilastollista seurantatietoa tältä alalta ei ole käytettävissä. Julkisia teknis-taloudellisia selvityksiä biodieselin tuotannosta on saatavilla suhteellisen niukasti. Koska simuloinneista saadut tulokset perustuvat biojalostamolle oletettuun kustannusrakenteeseen, tuloksia on tästä syystä käsiteltävä vain suuntaa-antavina. Ruralia-instituutti suosittaa biojalostamotoiminnan aluetaloudellisten vaikutusten seuraamista ja laskelmien päivittämistä, kun tarkempaa tietoa biojalostamon tuotannon kustannuksista ja tuotteiden kysynnän rakenteesta on saatavilla. Biojalostamon kustannusrakenne. Biojalostamotoiminta kompensoisi noin puolet massa- ja paperiteollisuuden supistumisesta aiheutuneista talouskasvun menetyksistä Kymenlaaksossa.

Brain oscillatory responses, working memory and cognitive developmental stages in 11- and 14-year-old children: an ERD/ERS study

Aim: So far, most of the cognitive neuroscience studies investigating the development of brain activity in childhood have made comparisons between different age groups and ignored the individual stage of cognitive development. Given the wide variation in the rate of cognitive development, this study argues that chronological age alone cannot explain the developmental changes in brain activity. This study demonstrates how Piaget s theory and information on child s individual stage of development can complement the age-related evaluations of brain oscillatory activity. In addition, the relationship between cognitive development and working memory is investigated. Method: A total of 33 children (17 11-year-olds, 16 14-year-olds) participated in this study. The study consisted of behavioural tests and an EEG experiment. Behavioral tests included two Piagetian tasks (the Volume and Density task, the Pendulum task) and Raven s Standard Progressive Matrices task. During EEG experiment, subjects performed a modified version of the Sternberg s memory search paradigm which consisted of an auditorily presented memory set of 4 words and a probe word following these. The EEG data was analyzed using the event-related desynchronization / synchronization (ERD/ERS) method. The Pendulum task was used to assess the cognitive developmental stage of each subject and to form four groups based on age (11- or 14-year-olds) and cognitive developmental stage (concrete or formal operational stage). Group comparisons between these four groups were performed for the EEG data. Results and conclusions: Both age- and cognitive stage-related differences in brain oscillatory activity were found between the four groups. Importantly, age-related changes similar to those reported by previous studies were found also in this study, but these changes were modified by developmental stage. In addition, the results support a strong link between working memory and cognitive development by demonstrating differences in memory task related brain activity and cognitive developmental stages. Based on these findings it is suggested that in the future, comparisons of development of brain activity should not be based only on age but also on the individual cognitive developmental stage.