Finansiella kriser tenderar att drabba ekonomin med ungefär tio års intervaller. Prisbubblor med tillhörande djupdykning på marknaden är således inget nytt fenomen. Denna störning i marknadsharmonin har funnits under flertalet sekler och historien har en benägenhet att upprepa sig. Bakgrunden till studien är således att öka förståelsen för bubbelfenomenet och att, om det är möjligt, förhindra att det händer igen. Syftet med studien är att påvisa faktorer som har haft signifikant betydelse för den så kallade IT-bubblans utveckling i Sverige och Finland under åren 1995-2000. Det övergripande syftet kan vidare indelas i två delsyften, vars mål dels är att påvisa vilken eller vilka finansiella teorier som bäst förklarar IT-bubblans utveckling, dels hitta faktorer som kan hjälpa oss att förutse likartade scenarier i framtiden. Studien fokuserar på länderna Sverige och Finland, och avgränsar sig därmed från övriga länder. Vidare studeras enbart börsbubblor och fall, varför övriga typer av finansiella kriser, så som exempelvis bankkriser utesluts. Metoden för att besvara det första delsyftet är att göra en analys av finansiella teorier för att lyfta fram faktorer som enligt dem kan ha haft avgörande betydelse för bubblans uppbyggnad. Metoden för det andra delsyftet är att bygga en statistisk modell med hjälp av de faktorer som resulterat av ovan nämnda analys, för att pröva deras relevans. Resultatet av vår studie har genererat en grupp bestående av fyra olika faktorer; makroekonomiska, institutionella, psykologiska faktorer och asymmetrisk information som bäst förklarar IT-bubblans uppkomst. Av dessa är den psykologiska faktorn den viktigaste, och samtidigt också den svåraste att förutsäga. Det är framförallt teorierna inom ”behavioural finance” som fokuserar på psykologiska effekter, varför de bäst förklarar händelseförloppet under IT-bubblan. Den statistiska modellen indikerar att antalet konkurser, hushållens totala utlåning och resultatet av samhällsekonomiska attitydundersökningar i fallet Sverige, samt antalet konkurser, nyregistrering av bilar, och slutligen konsumenternas attityd till stora köp och till att ta lån för tillfället, i fallet Finland, är variabler som vi kan vara uppmärksamma på för att försöka förutse börsbubblor. Den statistiska modellen är, som poängteras i arbetet, inte fulländad utan ytterligare studier fordras för att belägga detta ytterligare. / Every tenth year a financial crisis tend to interfere with an economy. Price bubbles with an accompanying market plunge are therefore not a new phenomenon. Such market disruptions have been causing problems for centuries, as history has a tendency to repeat itself. The intention with this study is to learn more about the bubble phenomenon and increase the knowledge in this area in order to, if possible, prevent such a thing from happening again. The purpose of the essay is to identify factors that significantly affected the development of the so called IT-bubble in Sweden and Finland during the years of 1995-2000. The previous purpose can be divided into two sub-purposes, namely; to point out which financial theory/theories that succeeds the best to explain the development of the IT-bubble, and additionally; to detect factors that can help us foreseeing similar scenarios in the future. The study concentrates on Sweden and Finland. Furthermore, only stock market bubbles are studied. As a consequence, other types of financial crises, for example bank crises, are excluded from this study. The method used to answer the first sub-purpose is an analysis of financial theories which enables us to find factors that according to theory could have caused the rise of the price bubble. In order to answer the second sub-purpose we take use of a statistical method. We have designed a statistical model based on the results of previous mentioned analysis. In this model we try the relevance of the detected factors from the theoretical analysis in order to investigate if theory manages to explain the birth of a stock market bubble. The result of our study has generated four different factors; macro economic; institutional; psychological and asymmetric information. These four categories showed importance for the development of the IT-bubble in Sweden and Finland. Out of the four factors, the psychological factor is said to be the most important, but in the mean time the hardest one to predict. The statistical model indicates that the number of bankruptcies, the total amount of household’s borrowing and results from attitude surveys in the case of Sweden, and the number of bankruptcies, new registrations of cars and finally consumers attitude towards making a big purchase at present, in the case of Finland are variables to be aware of when looking out for a stock market bubble. The statistical model, as pointed out in the study, is not perfect. Additional studies are necessary to confirm the results presented in this report.

Det finns olika aspekter som påverkar den ekonomiska tillväxten, där ibland inflation. Det har under många år pågått diskussioner om hur förhållandet mellan dessa två variabler ser ut. Denna uppsats analyserar sambandet mellan ekonomisk tillväxt och inflation. Utöver detta besvarar studien om inflation har någon statistisk signifikant relation till den ekonomiska tillväxten. I studien används paneldata från 19 OECD-medlemsländer från 1976 till 2020. För att analysera data utformas en regressionsmodell genom att använda BNP per capita som beroende variabel samt inkludera sju oberoende variabler (inflation, utländska direktinvesteringar, inhemska sparande, bytesvillkor, befolkningstillväxt, humankapital samt initial BNP). Resultatet från regressionsanalysen som utfördes genom fixed effects least squares dummy variable modellen tyder på ett negativt samband mellan inflation och BNP per capita. Däremot är resultatet enbart statistiskt signifikant om inte länder-, perioddummies eller initial BNP inkluderas. / There are various aspects that affect economic growth, including inflation. For many years, there have been discussions about the relationship between these two variables. This thesis analyzes the relation between economic growth and inflation. In addition, the study answers whether inflation has any statistically significant relation to economic growth. The study uses panel data from 19 OECD member countries from 1976 to 2020. To analyze the data, a regression model is designed by using ln GDP per capita as a dependent variable and including seven independent variables (inflation, foreign direct investment, domestic savings, terms of trade, population growth, human capital and initial GDP). The results of the regression analysis are conducted using the fixed effects least squares dummy variable model indicate a negative relationship between inflation and GDP per capita. However, the result is only shown to be statistically significant unless countries-, period dummies or initial GDP are included.

This paper discusses three case studies on the realization of spurious prepositions and argues that they illustrate a general interaction of convergence requirements of the morphological component with an economy condition that enforces faithfulness between the lexical items present in the numeration and the lexical items present in the PF output.

The study investigates the extent, development and nature of foreign direct investments in Sweden during the years 1895-1945. The work also has a qualitative aspect, which may be summarized as a question: Why do foreign companies undertake direct investments in Sweden? The basic premise has been that the companies' decisions are based on their own calculations regarding profit interests and structural conditions on the market, but these decisions are also influenced by various power relations. The aim is to discover partly the motives behind a company's readiness to enter the Swedish market, and partly the national and international power relations that furnished the institutional conditions favouring or hindering the making of direct investments in Sweden. The study shows that direct investments were much more extensive before 1945, above all before World War One, than has previously been assumed. Slightly more than half the direct investments were made by Denmark and Norway, and the greatest contribution from the major industrial nations was made by Germany. American direct investments increased in importance during the interwar years, and represented the greatest volume of activity in the foreign sector by the end of the 1930's. Manufacturing companies were the most important before World War One, as a result of direct investments in Swedish natural resources and the consumer goods industry. During the interwar years direct investments inclined more to forward linkage, and the majority were made in the chemical and engineering industries. Conditions in Sweden exerted most influence on direct investments before World War One - for example, Swedish tariff policy. Sweden's attempts to protect itself against the imperialism of the large industrial nations resulted moreover in 1916 in legislation which severely restricted the possibilities of making direct investments in the raw materials industry. After World War One, motives connected with specific countries and owneers were more important. At this time conflicts between American and European, primarily German, interests also entered the picture. One of the circumstances affecting direct investments was the increasing importance of the Scandinavian countries in the world market. This led to altered conditions between the Scandinavian countries, and partly to the realization by international business that Sweden must be seen as a market in its own right and not just as a sub-market in the Scandinavian region. / digitalisering@umu

Whiplash injuries as a result of rear impact are among the most common injuries in traffic accidents. This is why whiplash injuries have reached a high priority in the research area. In this study, the effects of head restraint position and impact pulse to the whiplash injury have been analyzed by performing whiplash tests using the sled test facility of METU-BILTIR Center Vehicle Safety Unit. Although there are many whiplash test protocols, the test sample has been prepared according to the most recent one, Euro NCAP Whiplash Test Protocol. Three different head restraint positions and three different impact pulses with different severities, totally nine tests have been performed. The tests are performed with a three point generic seat belt and an instrumented Hybrid III 50th percentile male adult crash test dummy is used as the occupant in driver seat of a light commercial vehicle. High speed cameras, sensors on the crash test dummy and a data acquisition system are used to take the test data. This test data has been analyzed and presented according to the defined whiplash assessment criteria and the performance scores of the particular seat for each test have been determined using the whiplash assessment criteria values according to the Euro NCAP Test Protocols.

In this thesis, a switched-current sigma-delta modulator (SDM) with op-amp active integrator is proposed. The major study is focused on using the op-amp to reduce the input impedance for high speed and high solution and utilizes the dummy switch to decrease the clock feedthrough (CFT) error. We use a sample-and-hold circuit which consists of an op-amp active memory cell and a dummy switch circuit to implement the integrator. It is applied to the building blocks of SDM. The modulator is a second order sigma-delta modulator. A current comparator transforms the current signal into digital voltage signal. A single-bit digital-to-analog (D/A) feedback circuit is used to convert the one-bit digital output to the SI integrator .The modulator is designed in the current mode technique. The delta-sigma modulator simulates using the parameters of the TSMC 0.35£gm CMOS process. The simulation results show that the signal to noise plus distortion ratio (SNDR) is 72 dB, the sampling rate is 10.24MHz, the oversampling ratio is 128, the power consumption is 21mW, the dynamic range is about 70dB, and the power supply is 3.3V. Furthermore, the circuit is verified by cadence-hspice simulation.

<p>Feedback control of Chest Acceleration or Chest Deflection is believed to be a good way of minimizing the risk of injury. In order to implement such a controller in a car, an observer estimating these responses is needed. The objective of the study was to develop a model of the dummy’s chest capable of estimating the Chest Acceleration and the Chest Deflection during frontal crashes in real time. The used sensor data come from car accelerometer and spindle rotation sensor of the belt, the data has been collected from dummies during crash tests. This study has accomplished the aims using a simple linear model of the chest using masses, springs and dampers. The parameters of the model have been estimated through system identification. Two types of black-box models have also been studied, one ARX model and one state-space model. The models have been tested and validated against data coming from different crash setups. The results show that all of the studied models can be used to estimate the dummy responses, the physical grey-box model and the black-box state-space model in particular.</p> / <p>Genom att använda återkoppling av storheterna bröstacceleration och bröstintryck antas man kunna minska risken för skador vid krockar i personbilar. För att kunna implementera detta behövs en observatör för dessa storheter. Målet med denna studie är att ta fram en modell för att kunna skatta accelerationen i bröstkorgen samt bröstintrycket i realtid i frontala krockar. Sensordata som använts kom från en accelerometer och en givare för att mäta rotationen i bältessnurran. Detta har gjorts genom att modellera bröstkorgen med linjära fjädrar och dämpare. Dess parametrar har skattats från data från krocktester från krockdockor. Två s.k. black-box-modeller har också tagits fram, en ARX-modell och en på tillståndsform. Modellerna har testats och validerats mha data från olika sorters krocktester. Resultaten visar att alla studerade modeller kan användas för att skatta de ovan nämnda storheterna, den fysikaliska modellen och black-box-modellen på tillståndsform fungerade bäst.</p>

Feedback control of Chest Acceleration or Chest Deflection is believed to be a good way of minimizing the risk of injury. In order to implement such a controller in a car, an observer estimating these responses is needed. The objective of the study was to develop a model of the dummy’s chest capable of estimating the Chest Acceleration and the Chest Deflection during frontal crashes in real time. The used sensor data come from car accelerometer and spindle rotation sensor of the belt, the data has been collected from dummies during crash tests. This study has accomplished the aims using a simple linear model of the chest using masses, springs and dampers. The parameters of the model have been estimated through system identification. Two types of black-box models have also been studied, one ARX model and one state-space model. The models have been tested and validated against data coming from different crash setups. The results show that all of the studied models can be used to estimate the dummy responses, the physical grey-box model and the black-box state-space model in particular. / Genom att använda återkoppling av storheterna bröstacceleration och bröstintryck antas man kunna minska risken för skador vid krockar i personbilar. För att kunna implementera detta behövs en observatör för dessa storheter. Målet med denna studie är att ta fram en modell för att kunna skatta accelerationen i bröstkorgen samt bröstintrycket i realtid i frontala krockar. Sensordata som använts kom från en accelerometer och en givare för att mäta rotationen i bältessnurran. Detta har gjorts genom att modellera bröstkorgen med linjära fjädrar och dämpare. Dess parametrar har skattats från data från krocktester från krockdockor. Två s.k. black-box-modeller har också tagits fram, en ARX-modell och en på tillståndsform. Modellerna har testats och validerats mha data från olika sorters krocktester. Resultaten visar att alla studerade modeller kan användas för att skatta de ovan nämnda storheterna, den fysikaliska modellen och black-box-modellen på tillståndsform fungerade bäst.

Background: The complexity of neurosurgical interventions demands innovative training solutions and standardized evaluation methods that in recent times have been the object of increased research interest. The objective is to establish an education curriculum on a phantom‑based training system incorporating theoretical and practical components for important aspects of brain tumor surgery. Methods: Training covers surgical planning of the optimal access path based on real patient data, setup of the navigation system including phantom registration and navigated craniotomy with real instruments. Nine residents from different education levels carried out three simulations on different data sets with varying tumor locations. Trainings were evaluated by a specialist using a uniform score system assessing tumor identification, registration accuracy, injured structures, planning and execution accuracy, tumor accessibility and required time. Results: Average scores improved from 16.9 to 20.4 between first and third training. Average time to craniotomy improved from 28.97 to 21.07 min, average time to suture improved from 37.83 to 27.47 min. Significant correlations were found between time to craniotomy and number of training (P < 0.05), between time to suture and number of training (P < 0.05) as well as between score and number of training (P < 0.01). Conclusion: The training system is evaluated to be a suitable training tool for residents to become familiar with the complex procedures of autonomous neurosurgical planning and conducting of craniotomies in tumor surgeries. Becoming more confident is supposed to result in less error‑prone and faster operation procedures and thus is a benefit for both physicians and patients.

Submitted by Jordano Vieira Rocha (jordanorocha@hotmail.com) on 2015-04-30T08:48:24Z No. of bitstreams: 1 Dissertação - Jordano Vieira Rocha.pdf: 1057882 bytes, checksum: 1ba84113f5ec0c31d9c99f3bebe4714d (MD5) / Approved for entry into archive by Suzinei Teles Garcia Garcia (suzinei.garcia@fgv.br) on 2015-04-30T13:02:56Z (GMT) No. of bitstreams: 1 Dissertação - Jordano Vieira Rocha.pdf: 1057882 bytes, checksum: 1ba84113f5ec0c31d9c99f3bebe4714d (MD5) / Made available in DSpace on 2015-04-30T17:23:54Z (GMT). No. of bitstreams: 1 Dissertação - Jordano Vieira Rocha.pdf: 1057882 bytes, checksum: 1ba84113f5ec0c31d9c99f3bebe4714d (MD5) Previous issue date: 2015-04-07 / This work assesses the forecasts of three nonlinear methods — Markov Switching Autoregressive Model, Logistic Smooth Transition Autoregressive Model, and Autometrics with Dummy Saturation — for the Brazilian monthly industrial production and tests if they are more accurate than those of naive predictors such as the autoregressive model of order p and the double differencing device. The results show that the step dummy saturation and the logistic smooth transition autoregressive can be superior to the double differencing device, but the linear autoregressive model is more accurate than all the other methods analyzed. / Este trabalho avalia as previsões de três métodos não lineares — Markov Switching Autoregressive Model, Logistic Smooth Transition Autoregressive Model e Autometrics com Dummy Saturation — para a produção industrial mensal brasileira e testa se elas são mais precisas que aquelas de preditores naive, como o modelo autorregressivo de ordem p e o mecanismo de double differencing. Os resultados mostram que a saturação com dummies de degrau e o Logistic Smooth Transition Autoregressive Model podem ser superiores ao mecanismo de double differencing, mas o modelo linear autoregressivo é mais preciso que todos os outros métodos analisados.