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Modern software systems increasingly consist of independent services that communicate with each other through their public interfaces. Requirements for systems are thus implemented through communication and collaboration between different its services. This creates challenges in how each requirement is to be tested. One approach to testing the communication procedures between different services is end-to-end testing. With end-to-end testing, a system consisting of multiple services can be tested as a whole. However, end-to-end testing confers many disadvantages, in tests being difficult to write and maintain. When end-to-end testing should adopted is thus not clear. In this research, an artifact for continuous end-to-end testing was designed and evaluated it in use at a case company. Using the results gathered from building and maintaining the design, we evaluated what requirements, advantages and challenges are involved in adopting end-to-end testing. Based on the results, we conclude that end-to-end testing can confer significant improvements over manual testing processes. However, because of the equally significant disadvantages in end-to-end testing, their scope should be limited, and alternatives should be considered. To alleviate the challenges in end-to-end testing, investment in improving interfaces, as well as deployment tools is recommended.

With the introduction of DNA sequencing over 40 years ago, we have been able to take a peek at our genetic material. Even though we have had a long time to develop sequencing strategies further, we are still unable to read the whole genome in one go. Instead, we are able to gather smaller pieces of the genetic material, which we can then use to reconstruct the original genome with a process called genome assembly. As a result of the genome assembly we often obtain multiple long sequences representing different regions of the genome, which are called contigs. Even though a genome often consists of a few separate DNA molecules (chromosomes), the number of obtained contigs outnumbers them substantially, meaning our reconstruction of the genome is not perfect. The resulting contigs can afterwards be refined by ordering, orienting and scaffolding them using additional information about the genome, which is often done manually by hand. The assembly process can also be guided automatically with the additional information, and in this thesis we are introducing a method that utilizes optical maps to aid us assemble the genome more accurately. A noticeable improvement of this method is the unification of the contigs, i.e. we are left with fewer but longer contigs. We are using an existing genome assembler called Kermit, which is designed to accept genetic maps as auxiliary long range information. Our contribution is the development of an assembly pipeline that provides Kermit with similar kind of information via optical maps. The initial results of our experiments show that the proposed genome assembly scheme can take advantage of optical maps effectively already during the assembly process to guide the reconstruction of a genome.

Modulimuodot ovat tietyt ehdot täyttäviä kuvauksia ylemmässä kompleksisessa puolitasossa. Modulimuodoilla on Fourier-kehitelmät, joissa ensimmäisen kertoimen ollessa 0 modulimuotoa kutsutaan kärkimuodoksi. Ramanujanin tau -kuvaus on määriteltävissä muun muassa painoa 12 olevan kärkimuodon Fourier-kehitelmän kertoimien avulla. Tässä tutkielmassa tarkastelemme eksponenttisummia, joiden kertoimet ovat Ramanujanin tau -kuvauksen arvoja, ja käymme läpi Matti Jutilan vuonna 1987 julkaiseman tuloksen, joka parantaa J. R. Wiltonin vuoden 1929 asymptoottista arviota näille summille optimaaliseen muotoon. Tutkielmassa syvennytään osaan Jutilan sivuuttamista yksityiskohdista ja pyritään selkiyttämään todistuksen yleistä rakennetta. Tutkielmassa myös huomataan, että Ramanujanin tau -kuvauskertoimiset eksponenttisummat muodostavat tuloksesta erityistapauksen, ja tulos on yleistettävissä koskemaan kaikkia eksponenttisummia, joissa kertoimet ovat jonkin kärkimuodon Fourier-kehitelmän kertoimia.

Finnish school choice policy is primarily an urban phenomenon. In practice, it is only possible in a few municipalities that have sufficient infrastructure for school markets. The municipalities in the capital region in particular face challenges of growing segregation manifested in socio-economic disparities, residential areas, and schools. The municipalities in the capital region have ended up with very different solutions when evaluating the most suitable school choice environment for their respective municipalities. One significant recent factor in shaping the current state of Finnish school choice policy is the Basic Education Act of 1999, which has partly enabled the development of various school choice environments between municipalities. The focus of the study is on the types of solutions that have been made in the municipalities of the capital region regarding the school choice environment, the desired future of the school choice environment in the municipalities, and how these goals are justified. For my Master's thesis, I used interview data collected in the School Markets and Segregation - The Societal Cost of School Choice research project. The data is the most recent interview material available, and it includes interviews with educational policy actors in the capital region. A total of nine educational policy actors from the capital region were interviewed for the study. Of the interviewees, three hold senior positions in metropolitan municipalities, three are in administrative positions in different municipalities, and three are members of municipal education boards. In analyzing the interview data, I employed two concepts by Kenneth Burke: "the Idea of the Negative" and the "Dramatistic Pentad" as analytical tools. Overall, the school choice environments in the examined municipalities differed from each other, and the current school choice environment seemed to be linked to the desired future school choice environments in the municipalities. The new frameworks for school choice environments formulated by the interviewees in the interview data varied to some extent based on the current school choice environment in the municipalities. The new frameworks for school choice environments outlined by the municipalities differed from each other. However, despite the current frameworks for school choice environments, there were a few common aspects that connected all municipalities regarding the new frameworks as well. None of the municipalities desired the public disclosure of school-specific learning outcomes or a completely unrestricted and unregulated new school choice environment.

The scholarship allotment problem describes the goal of strategically offering scholarships to prospective students of a university in a way that optimises the expected return for that investment. The goal of this thesis is to formulate the scholarship allotment problem in multiple variations of increasing complexity while also introducing algorithms to solve those variations optimally as efficiently as possible. The thesis also offers some insight into the way more complex variations and generalisations heighten the difficulty of finding an optimal solution in a reasonable amount of time. The main focus and the main tool used to tackle these problems is the classic knapsack algorithm and different variations of it, like multiple-choice knapsack and multidimensional knapsack. In addition to the theoretical side, the thesis contains an empirical study into the performance and feasibility of the algorithms introduced. Concrete implementations of the algorithms discussed are all available on a public GitHub repository online: https://github.com/SirVeggie/scholarship-allotment.

The need to understand causes behind business cycles and inflation, and their link to prevailing monetary policy is today essential. During recent years, the family of Dynamic Stochastic General Equilibrium (DSGE) models has emerged as the workhorse for characterizing these phenomena and their interlinkage, allowing a detailed, structurally microfounded modelling of economys general equilibrium and its dynamic response to exogenous, stochastic shocks. Traditionally, a central bank is assumed to be able to carry out its monetary policy influence towards the economy by altering the value of its conventional instrument, the nominal short-term interest rate. In the light of the recent financial crisis pushing those interest rates very low towards their zero lower bound, there has been a need, and correspondingly significant research towards designing unconventional instruments, with which a control could be retained also in the event of short-term interest rates becoming ineffective. One of these alternatives is called quantitative easing, which involves buying of government issued bonds. This Thesis presents a stylized, closed economy DSGE macromodel with nominal Calvo rigidities both in prices and wages. The model also incorporates a stylized financial sector. It then discusses how monetary policy instruments, namely the conventional nominal short-term interest rate, but also more unconventional government asset purchases, can be used in steering the economy in the presence of an exogenous shock shifting it away from its initial equilibrium. We simulate the developed macrosystem in the presence of exogenous shocks, and optimize the rules according to which the central bank uses its two instruments. Our results indicate that co-ordination between interest rate setting and quantitative easing is optimal, but before concluding on any specific policy principles, care should be taken in calibrating both the model of the economy and the metric evaluating welfare effects of the policy.

The optimal harvesting for a set of even-aged Dahurian Larch (Larix gmelinii) stands located in Aershan area of the northeast of Inner Mongolia, China, are studied. The effects of catastrophic pest outbreaks (i.e. Siberian moth) on the optimal harvesting plan are also studied, and the comparison on these two cases, namely deterministic and stochastic, are analyzed. The simulation is based on an individual-tree diameter growth model, an individual-tree height model, and model for the tree mortality for the coming 5-year period. Combined with the simulation system, the optimization model modified from Hyytiäinen et al. (2005) is able to find the number of thinnings, intensity of thinning, type of thinning, subject to given rotation lengths. In even-aged management, the objective variable is the bare land value with 3.5% discount rate. In addition, a scenario approach is applied when simulating the effects of catastrophes, i.e., pest outbreaks. Stochasticity here is represented by a set of scenarios. The timing of an insect outbreak is random. In order to know the frequency of insect outbreak, an exponential model is applied. The numerical results indicate that the probability that an outbreak at epidemic level will occur within an interval of 5 years is about 0.39. Within a 10-year interval the probability is about 0.63. It is nearly certain that an outbreak at epidemic level occurs within 45 years. The optimal solutions are presented separately for deterministic and stochastic cases. For the deterministic case, the results indicate that high bare land values were associated with stands of high basal area, tree diameters and height. Typically, the higher the mean annual increment and the site quality, the higher the bare land value. Meanwhile, the results show that the optimal rotation may vary considerably (40-58 yrs) at 3.5% interest rate depending on the initial stand state. In the stochastic case, considering the effect of catastrophe of pest outbreak, numerical results show that the optimum roation is shortened and the mean values of bare land value are about 14.8% to 25.6% lower compared with the deterministic case.

This study analyzes the optimal harvesting of single species uneven-aged Norway spruce (Picea abies (L.) Karst.), Scots pine (Pinus sylvestris L.), and birch (Betula pendula Roth. and B. pubescens Ehrh.) stands, in addition to mixed species stands with all three species. The analysis is based on an economic description of uneven-aged forestry using a size-structured transition matrix model and a single-tree model. The optimization problem is solved in its general dynamic form using gradient-based interior point methods. Similar analysis on uneven-aged birch, Scots pine and mixed species stands in Nordic conditions has not been published. Increasing the harvesting interval decreases the average annual volume yield. Assuming natural regeneration, this suggests that volume yield is maximized by uneven-aged rather than even-aged management. The present value of stumpage revenues is maximized after saw timber and pulpwood prices, interest rate, and a 15-year harvesting interval are included. The economically optimal solution with a 3% interest rate produces an annual yield of 1.9, 5.5 and 2.9 cubic meters (m3) for Scots pine, Norway spruce, and birch respectively in single species stands at site with average productivity. At less productive sites, the mixed species stand is heavily dominated by Norway spruce regardless of interest rate. At more productive sites on the other hand, increasing interest rate increases species diversity. Both the optimal volume yield and net present value maximization solutions converge to unique species- and site-type-specific steady-states with constant harvests. The transition matrix model typically used in optimization studies is computationally less demanding than the single-tree model, but the differences in optimal solutions are more remarkable than earlier studies show. Additionally, it appears that the investmentefficient optimization model may result in steady-state solutions that significantly differ from the correct solutions.

The purpose of this study was to define economically optimal stand structures and harvesting cycles for uneven-aged Scots pine (Pinus sylvestris L.) in Finland. According to a recent proposal by Ministry of Agriculture and Forestry, uneven-aged management will be included in the new Forest Act as an alternative for future forest management in Finland. Uneven-aged management is also planned to be included in the Forest management practice recommendations by the year 2014. However, only little knowledge exists on optimal uneven-aged management in Finland, particularly on uneven-aged Scots pine. This thesis aimed at filling the gap in knowledge regarding economically optimal management of uneven-aged Scots pine. So far, economic studies on uneven-aged Scots pine have been conducted only in a static optimization framework, where optimal stand structure is constrained with a classic “reversed-J” diameter distribution, and transition cuttings are limited to one single harvest. In this work, stand structures and harvesting cycles were optimized for maximum volume yield and maximum stumpage revenues by applying both static and dynamic optimization. Until now, no dynamic optimization has been conducted on uneven-aged Scots pine. Static optimization was applied for different growth sites from mesic sites in Southern Finland (MT1300) to sub-xeric sites in Central Finland (VT1100). Mesic sites in Southern Finland were also optimized in a dynamic framework. A density-dependent individual tree model with latest ecological growth models was applied in optimization. The large-scale nonlinear problems were solved by means of numerical computing with discrete-time formulations. Present value of stumpage revenues was maximized applying 1% and 3% discount rates. Economically optimal harvesting cycle became 40 years in Southern Finland (site MT1300), and even longer at more northern and less fertile site types. Results imply that it is not economically optimal to manage Scots pine with a traditional selection method with short harvesting cycles, but rather with a heavy harvesting regime including low after cut basal areas. When maximizing present value of stumpage revenues, optimal after cut basal areas in Southern Finland were as low as 5 m2 (1% discount rate) and 3.2 m2 (3% discount rate) per hectare. A proposal of Ministry of Agriculture and Forestry suggests minimum after cut basal areas of 10–11 m2 per hectare for Southern Finland, which clearly exceed the optima of this study. Contrary to the existing results for uneven-aged Scots pine, economically optimal stand structure did not follow the classic reversed-J diameter distribution.

Aquaculture is seen as an answer to the future’s projected demand increase of seafood. This offers possibilities for the Finnish society to benefit economically. Globally, environmental concerns are set to the pressure the future demand, since the sector’s production is jointly linked to creating negative outputs, nutrient emissions. These problems are especially present in Finland, which’s offshore aquaculture production occurs geographically in one of the world’s most eutrophicated seas, the Baltic Sea. Finnish aquaculture regulation is currently a type of “command and control”, which is seen as one of the main reasons why the domestic production has decreased drastically in 21st century. Continuing to utilize feed quotas may not sufficient and incentivizing for the producers which creates need to review other possible economic instruments. This research studies the possibility of utilizing auctioned emission permits. The work contributes to auction theory of incomplete information games while adding Baltic Sea elements such as abatement costs to our analyzed model. This thesis addresses three questions: How can the chosen auction models support sustainable growth of aquaculture in economically efficient way? What is the level of optimal price floor? Which auction form is expected to create highest revenue surplus for the society? The policy maker is interested in assessing which of the chosen auction models is best allocation tool under present asymmetrical information. To combat the missing information on production values per kilogram of nitrate, Monte Carlo-simulation is utilized to generate values for the bidding producers. The analysis creates premise of including price floor in the mechanism designs to guarantee sustainability. The price floor guarantees that the value of allocated permit will be at least the size of our adopted abatement costs, which originate from certain mussel cultivation farm located in Sankt Anna, Sweden. The effects of two potential price floors are analyzed. First, which secures sustainability and second, which maximizes expected revenue surplus. Our modelled results follow the findings of the theory. All chosen auction designs are expected to create similar results in allocating the emission permits. To secure that the allocated permits are sustainable, and that the allocation maximize society’s revenue surplus, the social planner should implement price floor which is strictly higher than his personal valuation of the permit. This removes the possibility of auction being ex-ante efficient. Even though in the chosen model setting the price floor’s level was not dependent on the level of buyers, the social planner should not ignore the aspect of competition. By designing a mechanism that enables easy entry for bidders to participate, the auctions are expected to attract higher levels of competition which can create results that are closer to competitive markets. This can decrease the role of price floor, which may ease mechanism designing. To get more accurate results in the Finnish scene, more detailed information on possible domestic aquaculture production values is needed