Public health impact of statin prescribing strategies based on JUPITER Modeling study from a population-based study.

OBJECTIVE: To evaluate the public health impact of statin prescribing strategies based on the Justification for the Use of Statins in Primary Prevention: An Intervention Trial Evaluating Rosuvastatin Study (JUPITER). METHODS: We studied 2268 adults aged 35-75 without cardiovascular disease in a population-based study in Switzerland in 2003-2006. We assessed the eligibility for statins according to the Adult Treatment Panel III (ATPIII) guidelines, and by adding "strict" (hs-CRP≥2.0mg/L and LDL-cholesterol <3.4mmol/L), and "extended" (hs-CRP≥2.0mg/L alone) JUPITER-like criteria. We estimated the proportion of CHD deaths potentially prevented over 10years in the Swiss population. RESULTS: Fifteen % were already taking statins, 42% were eligible by ATPIII guidelines, 53% by adding "strict", and 62% by adding "extended" criteria, with a total of 19% newly eligible. The number needed to treat with statins to avoid one CHD death over 10years was 38 for ATPIII, 84 for "strict" and 92 for "extended" JUPITER-like criteria. ATPIII would prevent 17% of CHD deaths, compared with 20% for ATPIII+"strict" and 23% for ATPIII + "extended" criteria (+6%). CONCLUSION: Implementing JUPITER-like strategies would make statin prescribing for primary prevention more common and less efficient than it is with current guidelines.

Integrating life cycle costs and environmental impacts of composite rail car-bodies for a Korean train

Background, aim, and scope A coupled Life Cycle Costing and life cycle assessment has been performed for car-bodies of the Korean Tilting Train eXpress (TTX) project using European and Korean databases, with the objective of assessing environmental and cost performance to aid materials and process selection. More specifically, the potential of polymer composite car-body structures for the Korean Tilting Train eXpress (TTX) has been investigated. Materials and methods This assessment includes the cost of both carriage manufacturing and use phases, coupled with the life cycle environmental impacts of all stages from raw material production, through carriage manufacture and use, to end-of-life scenarios. Metallic carriages were compared with two composite options: hybrid steel-composite and full-composite carriages. The total planned production for this regional Korean train was 440 cars, with an annual production volume of 80 cars. Results and discussion The coupled analyses were used to generate plots of cost versus energy consumption and environmental impacts. The results show that the raw material and manufacturing phase costs are approximately half of the total life cycle costs, whilst their environmental impact is relatively insignificant (3-8%). The use phase of the car-body has the largest environmental impact for all scenarios, with near negligible contributions from the other phases. Since steel rail carriages weigh more (27-51%), the use phase cost is correspondingly higher, resulting in both the greatest environmental impact and the highest life cycle cost. Compared to the steel scenario, the hybrid composite variant has a lower life cycle cost (16%) and a lower environmental impact (26%). Though the full composite rail carriage may have the highest manufacturing cost, it results in the lowest total life cycle costs and lowest environmental impacts. Conclusions and recommendations This coupled cost and life cycle assessment showed that the full composite variant was the optimum solution. This case study showed that coupling of technical cost models with life cycle assessment offers an efficient route to accurately evaluate economic and environmental performance in a consistent way.

Forecasting the Earth"s radiation belts and modeling solar energetic particle events: Recent results from SPACECAST

High-energy charged particles in the van Allen radiation belts and in solar energetic particle events can damage satellites on orbit leading to malfunctions and loss of satellite service. Here we describe some recent results from the SPACECAST project on modelling and forecasting the radiation belts, and modelling solar energetic particle events. We describe the SPACECAST forecasting system that uses physical models that include wave-particle interactions to forecast the electron radiation belts up to 3 h ahead. We show that the forecasts were able to reproduce the >2 MeV electron flux at GOES 13 during the moderate storm of 7-8 October 2012, and the period following a fast solar wind stream on 25-26 October 2012 to within a factor of 5 or so. At lower energies of 10- a few 100 keV we show that the electron flux at geostationary orbit depends sensitively on the high-energy tail of the source distribution near 10 RE on the nightside of the Earth, and that the source is best represented by a kappa distribution. We present a new model of whistler mode chorus determined from multiple satellite measurements which shows that the effects of wave-particle interactions beyond geostationary orbit are likely to be very significant. We also present radial diffusion coefficients calculated from satellite data at geostationary orbit which vary with Kp by over four orders of magnitude. We describe a new automated method to determine the position at the shock that is magnetically connected to the Earth for modelling solar energetic particle events and which takes into account entropy, and predict the form of the mean free path in the foreshock, and particle injection efficiency at the shock from analytical theory which can be tested in simulations.

Histone H1 expression varies during the Leishmania major life cycle.

The deduced amino acid sequence of Leishmania major sw3 cDNA reveals the presence of characteristic histone H1 amino acid motifs. However, the open reading frame is of an unusually small size for histone H1 (105 amino acids) because it lacks the coding potential for the central hydrophobic globular domain of linker histones present in other eukaryotes. Here, we provide biochemical evidence that the SW3 protein is indeed a L. major nuclear histone H1, and that it is differentially expressed during the life cycle of the parasite. Due to its high lysine content, the SW3 protein can be purified to a high degree from L. major nuclear lysates with 5% perchloric acid, a histone H1 preparative method. Using an anti-SW3 antibody, this protein is detected as a 17 kDa or as a 17/19 kDa doublet in the nuclear subfraction in different L. major strains. The nuclear localization of the SW3 protein is further supported by immunofluorescence studies. During in vitro promastigote growth, both the sw3 cytoplasmic mRNA and its protein progressively accumulate within parasites from early log phase to stationary phase. Within amastigotes, the high level of H1 expression is maintained but decreases when amastigotes differentiate into promastigotes. Together, these observations suggest that the different levels of this histone H1 protein could influence the varying degrees of chromatin condensation during the life-cycle of the parasite, and provide us with tools to study this mechanism.

Modeling and mitigation of supply-demand mismatches

In this thesis, I develop analytical models to price the value of supply chain investments under demand uncer¬tainty. This thesis includes three self-contained papers. In the first paper, we investigate the value of lead-time reduction under the risk of sudden and abnormal changes in demand forecasts. We first consider the risk of a complete and permanent loss of demand. We then provide a more general jump-diffusion model, where we add a compound Poisson process to a constant-volatility demand process to explore the impact of sudden changes in demand forecasts on the value of lead-time reduction. We use an Edgeworth series expansion to divide the lead-time cost into that arising from constant instantaneous volatility, and that arising from the risk of jumps. We show that the value of lead-time reduction increases substantially in the intensity and/or the magnitude of jumps. In the second paper, we analyze the value of quantity flexibility in the presence of supply-chain dis- intermediation problems. We use the multiplicative martingale model and the "contracts as reference points" theory to capture both positive and negative effects of quantity flexibility for the downstream level in a supply chain. We show that lead-time reduction reduces both supply-chain disintermediation problems and supply- demand mismatches. We furthermore analyze the impact of the supplier's cost structure on the profitability of quantity-flexibility contracts. When the supplier's initial investment cost is relatively low, supply-chain disin¬termediation risk becomes less important, and hence the contract becomes more profitable for the retailer. We also find that the supply-chain efficiency increases substantially with the supplier's ability to disintermediate the chain when the initial investment cost is relatively high. In the third paper, we investigate the value of dual sourcing for the products with heavy-tailed demand distributions. We apply extreme-value theory and analyze the effects of tail heaviness of demand distribution on the optimal dual-sourcing strategy. We find that the effects of tail heaviness depend on the characteristics of demand and profit parameters. When both the profit margin of the product and the cost differential between the suppliers are relatively high, it is optimal to buffer the mismatch risk by increasing both the inventory level and the responsive capacity as demand uncertainty increases. In that case, however, both the optimal inventory level and the optimal responsive capacity decrease as the tail of demand becomes heavier. When the profit margin of the product is relatively high, and the cost differential between the suppliers is relatively low, it is optimal to buffer the mismatch risk by increasing the responsive capacity and reducing the inventory level as the demand uncertainty increases. In that case, how¬ever, it is optimal to buffer with more inventory and less capacity as the tail of demand becomes heavier. We also show that the optimal responsive capacity is higher for the products with heavier tails when the fill rate is extremely high.

Implicit methods for qualitative modeling of gene regulatory networks.

Advancements in high-throughput technologies to measure increasingly complex biological phenomena at the genomic level are rapidly changing the face of biological research from the single-gene single-protein experimental approach to studying the behavior of a gene in the context of the entire genome (and proteome). This shift in research methodologies has resulted in a new field of network biology that deals with modeling cellular behavior in terms of network structures such as signaling pathways and gene regulatory networks. In these networks, different biological entities such as genes, proteins, and metabolites interact with each other, giving rise to a dynamical system. Even though there exists a mature field of dynamical systems theory to model such network structures, some technical challenges are unique to biology such as the inability to measure precise kinetic information on gene-gene or gene-protein interactions and the need to model increasingly large networks comprising thousands of nodes. These challenges have renewed interest in developing new computational techniques for modeling complex biological systems. This chapter presents a modeling framework based on Boolean algebra and finite-state machines that are reminiscent of the approach used for digital circuit synthesis and simulation in the field of very-large-scale integration (VLSI). The proposed formalism enables a common mathematical framework to develop computational techniques for modeling different aspects of the regulatory networks such as steady-state behavior, stochasticity, and gene perturbation experiments.

JPEG standard uniform quantization error modeling with applications to sequential and progressive operation modes

In this paper we propose a method for computing JPEG quantization matrices for a given mean square error or PSNR. Then, we employ our method to compute JPEG standard progressive operation mode definition scripts using a quantization approach. Therefore, it is no longer necessary to use a trial and error procedure to obtain a desired PSNR and/or definition script, reducing cost. Firstly, we establish a relationship between a Laplacian source and its uniform quantization error. We apply this model to the coefficients obtained in the discrete cosine transform stage of the JPEG standard. Then, an image may be compressed using the JPEG standard under a global MSE (or PSNR) constraint and a set of local constraints determined by the JPEG standard and visual criteria. Secondly, we study the JPEG standard progressive operation mode from a quantization based approach. A relationship between the measured image quality at a given stage of the coding process and a quantization matrix is found. Thus, the definition script construction problem can be reduced to a quantization problem. Simulations show that our method generates better quantization matrices than the classical method based on scaling the JPEG default quantization matrix. The estimation of PSNR has usually an error smaller than 1 dB. This figure decreases for high PSNR values. Definition scripts may be generated avoiding an excessive number of stages and removing small stages that do not contribute during the decoding process with a noticeable image quality improvement.

Regulation of the activity of DnaA and its role during the cell cycle of caulobacter crescentus

The initiation of chromosomal replication must be tightly regulated so that the genome is replicated only once per cell cycle. In most bacteria, DnaA binds to the origin of replication and initiates chromosomal replication. DnaA is a dual-function protein that also acts as an important transcription factor that regulates the expression of many genes in bacteria. Thus, understanding how this protein is regulated during the bacterial cell cycle is of major importance. The α-proteobacterium Caulobacter crescentus is an excellent model to study the bacterial cell cycle, mainly because it is possible to isolate synchronized cell cultures and because it initiates the replication of its chromosome once per cell cycle and at a specific time of the cell cycle. This latest feature is of special interest for the major aim of my thesis work, which focused on the temporal and spatial regulation of the activity of the essential DnaA protein in C. crescentus. In Escherichia coli, the Hda protein converts ATP-DnaA into ADP- DnaA by stimulating the ATPase activity of DnaA, to prevent over-initiation of chromosome replication. We propose that there exists a similar mechanism in C. crescentus, which is not only involved in the temporal control of chromosome replication, but also in the control of gene expression. First, we provided evidences indicating that the hydrolysis of the ATP bound to DnaA is essential for the viability of C. crescentus. Our results suggest that ATP-DnaA promotes the initiation of chromosome replication, since we found that cells over-expressing a DnaA protein with a mutated ATPase domain, DnaA(R357A), over-initiated chromosome replication, unlike cells expressing the wild-type DnaA protein at similar levels. By contrast, the DnaA(R357A) protein was less active than DnaA in promoting the transcription of three essential genes, suggesting that these may be more efficiently activated by ADP-DnaA than ATP-DnaA. We propose that the ATP-DnaA to ADP-DnaA switch down-regulates the initiation of DNA replication while activating the transcription of several essential genes involved in subsequent cell cycle events. Second, we studied the role of the HdaA protein, homologous to Hda, in promoting the ATP- DnaA to ADP-DnaA switch in C. crescentus. HdaA is essential for viability and its depletion in the cell leads to an over-replication of the chromosome, indicating that HdaA is a negative regulator of DNA replication. HdaA dynamically co-localizes with the replisome. In this work, we identified DnaN, the β-clamp of the DNA polymerase, as the replisome component that interacts directly with HdaA and that recruits HdaA to the replisome in live C. crescentus cells. We also showed that a mutant HdaA protein that cannot interact or co-localize with DnaN is not functional, indicating that HdaA is probably activated by DnaN. However, we found that another non-functional HdaA protein, mutated in the conserved Arginine finger of its AAA+ domain, was able to localize at the replisome, suggesting that the AAA+ domain of HdaA exerts its essential function after the recruitment of HdaA to the replisome. We propose that HdaA stimulates the ATPase activity of DnaA once DNA replication is ongoing, via its interaction with DnaN and the activity of the two conserved R fingers of DnaA and HdaA. Finally, we created different strains in which HdaA, DnaN or DnaA were over-produced. We observed that the over-production of HdaA seems to lead to a delay in chromosome replication, while the over-production of DnaN had an opposite effect. Our results also indicate that the over-production of DnaA may intensify the over-initiation phenotype of cells depleted for HdaA. We conclude that the dynamic interplay of HdaA and DnaN in the cell contributes to regulating the ATP-DnaA/ADP-DnaA ratio in the cell, to ensure once per cell cycle initiation of chromosomal replication in C. crescentus. Altogether, our work provided important information on the regulation of the activity of DnaA in C. crescentus. Since DnaA, HdaA and DnaN are well-conserved proteins, most of our findings are useful to understand how chromosome replication and gene expression are controlled by DnaA in many other bacterial species. - L'initiation de la réplication des chromosomes doit être précisément régulée de telle sorte que le génome ne soit répliqué qu'une seule fois par cycle cellulaire. Chez la plupart des bactéries, DnaA se lie à l'origine de réplication du chromosome et en initie sa réplication. DnaA est aussi un facteur de transcription qui régule l'expression de nombreux gènes bactériens. De ce fait, il est très important de comprendre comment DnaA est régulée au cours du cycle cellulaire bactérien. L'a-protéobactérie Caulobacter crescentus est un excellent modèle pour étudier le cycle cellulaire bactérien, essentiellement parce qu'il est aisé d'isoler des populations de cellules synchronisées à la même étape du cycle cellulaire et parce que cette bactérie n'initie la réplication de son chromosome qu'une seule fois et à un moment précis de son cycle. Cette dernière caractéristique est particulièrement pertinente pour l'objectif de mon travail doctoral, qui consistait à comprendre comment l'activité de la protéine essentielle DnaA est régulée dans l'espace et dans le temps chez C. crescentus. Chez Escherichia coli, la protéine Hda convertie DnaA-ATP en DnaA-ADP en stimulant l'activité ATPasique de DnaA, ce qui empêche la sur-initiation de la réplication du chromosome. Nous proposons qu'un mécanisme similaire existe chez C. crescentus. Il serait non seulement nécessaire au contrôle de la réplication du chromosome, mais aussi au contrôle de l'expression de certains gènes. Dans un premier temps, nous avons mis en évidence le fait que l'hydrolyse de l'ATP lié à DnaA est un processus essentiel à la viabilité de C. crescentus. Nos résultats suggèrent que DnaA-ATP initie la réplication du chromosome, comme nous avons observé que des cellules qui sur-expriment une protéine DnaA(R357A) mutée sans domaine ATPasique fonctionnel, sur-initie la réplication de leur chromosome, contrairement aux cellules qui sur-expriment la protéine DnaA sauvage à des niveaux équivalents. Au contraire, la protéine DnaA(R357A) était moins active que la protéine DnaA sauvage pour promouvoir la transcription de trois gènes essentiels, ce qui suggère que ces derniers sont peut-être plus efficacement activés par DnaA-ADP que DnaA-ATP. Nous proposons que la conversion de DnaA-ATP en DnaA-ADP réprime l'initiation de la réplication, tandis qu'elle active la transcription de plusieurs gènes impliqués dans des étapes plus tardives du cycle cellulaire. Dans un deuxième temps, nous avons étudié le rôle de la protéine HdaA, homologue à Hda, dans la conversion de DnaA-ATP en DnaA-ADP chez C. crescentus. Cette protéine est essentielle à la viabilité de C. crescentus et sa déplétion donne des cellules qui sur-initient la réplication de leur chromosome, suggérant que HdaA est un répresseur de la réplication du chromosome. HdaA co-localise de manière dynamique avec le réplisome. Lors de mon travail doctoral, nous avons démontré que DnaN, le β-clamp de l'ADN polymérase, est l'élément qui recrute HdaA au réplisome in vivo. Nous avons aussi montré qu'une protéine HdaA mutante qui ne peut pas interagir ou co-localiser avec DnaN, n'est pas fonctionnelle, ce qui suggère que HdaA est activée par DnaN. Nous avons néanmoins aussi isolé une autre protéine HdaA non fonctionnelle, dont une arginine conservée de son domaine AAA+ était mutée, mais qui pouvait toujours co-localiser avec le réplisome, ce qui suggère que le domaine AAA+ de HdaA est nécessaire après le recrutement de HdaA au réplisome. Nous proposons que HdaA stimule l'activité ATPasique de DnaA qu'une fois que la réplication a commencé, grâce à son interaction avec DnaN et aux deux arginines conservées des protéines HdaA et DnaA. Finalement, nous avons construit différentes souches sur-exprimant HdaA, DnaN ou DnaA. Nous avons observé que la sur-production de HdaA retarde la réplication du chromosome, tandis que la sur-production de DnaN a un effet opposé. Nos observations suggèrent aussi que la sur-expression de DnaA dans des cellules déplétées pour HdaA aggrave leur phénotype de sur-initiation. Nous en concluons que HdaA et DnaN collaborent étroitement et de manière dynamique pour réguler le rapport DnaA-ATP/DnaA-ADP dans la cellule, pour s'assurer que la réplication du chromosome ne soit initiée qu'une seule fois par cycle cellulaire chez C. crescentus. Globalement, notre travail a mis en évidence des informations importantes sur la régulation de l'activité de DnaA chez C. crescentus. Comme DnaA, HdaA et DnaN sont des protéines très conservées, la plupart de nos découvertes sont utiles pour mieux comprendre comment la réplication du chromosome bactérien et l'expression des gènes sont contrôlées par DnaA chez de nombreuses autres espèces bactériennes.

Environmental data mining and modeling based on machine learning algorithms and geostatistics

The paper presents some contemporary approaches to spatial environmental data analysis. The main topics are concentrated on the decision-oriented problems of environmental spatial data mining and modeling: valorization and representativity of data with the help of exploratory data analysis, spatial predictions, probabilistic and risk mapping, development and application of conditional stochastic simulation models. The innovative part of the paper presents integrated/hybrid model-machine learning (ML) residuals sequential simulations-MLRSS. The models are based on multilayer perceptron and support vector regression ML algorithms used for modeling long-range spatial trends and sequential simulations of the residuals. NIL algorithms deliver non-linear solution for the spatial non-stationary problems, which are difficult for geostatistical approach. Geostatistical tools (variography) are used to characterize performance of ML algorithms, by analyzing quality and quantity of the spatially structured information extracted from data with ML algorithms. Sequential simulations provide efficient assessment of uncertainty and spatial variability. Case study from the Chernobyl fallouts illustrates the performance of the proposed model. It is shown that probability mapping, provided by the combination of ML data driven and geostatistical model based approaches, can be efficiently used in decision-making process. (C) 2003 Elsevier Ltd. All rights reserved.

Software Process Modeling with Eclipse Process Framework

The software development industry is constantly evolving. The rise of the agile methodologies in the late 1990s, and new development tools and technologies require growing attention for everybody working within this industry. The organizations have, however, had a mixture of various processes and different process languages since a standard software development process language has not been available. A promising process meta-model called Software & Systems Process Engineering Meta- Model (SPEM) 2.0 has been released recently. This is applied by tools such as Eclipse Process Framework Composer, which is designed for implementing and maintaining processes and method content. Its aim is to support a broad variety of project types and development styles. This thesis presents the concepts of software processes, models, traditional and agile approaches, method engineering, and software process improvement. Some of the most well-known methodologies (RUP, OpenUP, OpenMethod, XP and Scrum) are also introduced with a comparison provided between them. The main focus is on the Eclipse Process Framework and SPEM 2.0, their capabilities, usage and modeling. As a proof of concept, I present a case study of modeling OpenMethod with EPF Composer and SPEM 2.0. The results show that the new meta-model and tool have made it possible to easily manage method content, publish versions with customized content, and connect project tools (such as MS Project) with the process content. The software process modeling also acts as a process improvement activity.

Modeling and Simulation ofReal-Time System as a Tool to Improve Capacity Management - Case Fenix

Tämän tutkimustyön kohteena on TietoEnator Oy:n kehittämän Fenix-tietojärjestelmän kapasiteettitarpeen ennustaminen. Työn tavoitteena on tutustua Fenix-järjestelmän eri osa-alueisiin, löytää tapa eritellä ja mallintaa eri osa-alueiden vaikutus järjestelmän kuormitukseen ja selvittää alustavasti mitkä parametrit vaikuttavat kyseisten osa-alueiden luomaan kuormitukseen. Osa tätä työtä on tutkia eri vaihtoehtoja simuloinnille ja selvittää eri vaihtoehtojen soveltuvuus monimutkaisten järjestelmien mallintamiseen. Kerätyn tiedon pohjaltaluodaan järjestelmäntietovaraston kuormitusta kuvaava simulaatiomalli. Hyödyntämällä mallista saatua tietoa ja tuotantojärjestelmästä mitattua tietoa mallia kehitetään vastaamaan yhä lähemmin todellisen järjestelmän toimintaa. Mallista tarkastellaan esimerkiksi simuloitua järjestelmäkuormaa ja jonojen käyttäytymistä. Tuotantojärjestelmästä mitataan eri kuormalähteiden käytösmuutoksia esimerkiksi käyttäjämäärän ja kellonajan suhteessa. Tämän työn tulosten on tarkoitus toimia pohjana myöhemmin tehtävälle jatkotutkimukselle, jossa osa-alueiden parametrisointia tarkennetaan lisää, mallin kykyä kuvata todellista järjestelmää tehostetaanja mallin laajuutta kasvatetaan.

Univariate versus multivariate modeling of panel data

Panel data can be arranged into a matrix in two ways, called 'long' and 'wide' formats (LFand WF). The two formats suggest two alternative model approaches for analyzing paneldata: (i) univariate regression with varying intercept; and (ii) multivariate regression withlatent variables (a particular case of structural equation model, SEM). The present papercompares the two approaches showing in which circumstances they yield equivalent?insome cases, even numerically equal?results. We show that the univariate approach givesresults equivalent to the multivariate approach when restrictions of time invariance (inthe paper, the TI assumption) are imposed on the parameters of the multivariate model.It is shown that the restrictions implicit in the univariate approach can be assessed bychi-square difference testing of two nested multivariate models. In addition, commontests encountered in the econometric analysis of panel data, such as the Hausman test, areshown to have an equivalent representation as chi-square difference tests. Commonalitiesand differences between the univariate and multivariate approaches are illustrated usingan empirical panel data set of firms' profitability as well as a simulated panel data.

Sulfaattiselluloosatehtaan rikki- ja natriumtase sekä kemikaalikierron malli

Tämän diplomityön kirjallisessa osassa on tarkasteltu sulfaattiselluloosatehtaan ympäristöpäästöjen vähentämiseen liittyvää ongelmallisuutta sekä luomaan pääpiirteittäinen kuvaus sulfaattiselluloosatehtaan kemikaalikierrosta lähinnä rikki- ja natriumyhdisteiden kiertoja huomioiden. Pääasiassa kemikaalisäästöjen ja ympäristösyiden vuoksi tehtävää kemikaalikierron sulkemista seuraa rikki- ja natriumtaseisiin sekä kemikaalikierron vierasaineisiin liittyviä ongelmia, kuten prosessilaitteistojen likaantumista, korroosiota ja hajukaasuyhdisteiden muodostumista. Diplomityön mallinnusosassa on luotu Metsä-Botnian Rauman sellutehtaan kemikaalikierron malli pohjautuen tehtaan virtauskaavioihin sekä muuhun tehtaalta saatuun prosessi-informaatioon. BALAS-simulointiohjelmiston avulla luotuja mallikaavioita on käytetty hyväksi tehtaan kokonais- rikki- ja natriumtaseiden laskennassa. Varsinainen simulointi on jätetty projektin aikataulullisten syiden vuoksi jatkoprojektin piiriin.