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The evolution of third-party logistics has sparked much academic interest over the years, with researchers looking at how the industry has grown and the factors that have contributed to it. The primary goal of this thesis is to examine the factors that have driven third-party logistics companies’ growth in Sweden for eighteen years (2002–2020). Growth in this thesis is considered as the growth of net sales. A total of 924 observations of ninety-five active third-party logistics companies operating in the Swedish market are analyzed in this thesis. An Ordinary Least Squares (OLS) linear regression analysis is carried out to examine the growth factors of third-party logistics companies in Sweden, taking into consideration the direct effect of the variables, number of employees, liabilities, operating profit, Earnings Before Interest and Taxes (EBIT), accessibility, technology, reverse logistics, service offer, customer relationship management (CRM), marketing, and distribution systems on the growth of net sales. Results from the OLS model shows that the size of the company, profitability, and the company's level of competence, has a significant positive influence on third-party logistics (3PL) company's growth.

The United States is the world's largest oil consumer demanding about twenty five percent of the total world oil production. Whenever there are difficulties to supply the increasing quantities of oil demanded by the market, the price of oil escalates leading to what is known as oil price spikes or oil price shocks. The last oil price shock which was the longest sustained oil price run up in history, began its course in year 2004, and ended in 2008. This last oil price shock initiated recognizable changes in transportation dynamics: transit operators realized that commuters switched to transit as a way to save gasoline costs, consumers began to search the market for more efficient vehicles leading car manufactures to close 'gas guzzlers' plants, and the government enacted a new law entitled the Energy Independence Act of 2007, which called for the progressive improvement of the fuel efficiency indicator of the light vehicle fleet up to 35 miles per gallon in year 2020. The past trend of gasoline consumption will probably change; so in the context of the problem a gasoline consumption model was developed in this thesis to ascertain how some of the changes will impact future gasoline demand. Gasoline demand was expressed in oil equivalent million barrels per day, in a two steps Ordinary Least Square (OLS) explanatory variable model. In the first step, vehicle miles traveled expressed in trillion vehicle miles was regressed on the independent variables: vehicles expressed in million vehicles, and price of oil expressed in dollars per barrel. In the second step, the fuel consumption in million barrels per day was regressed on vehicle miles traveled, and on the fuel efficiency indicator expressed in miles per gallon. The explanatory model was run in EVIEWS that allows checking for normality, heteroskedasticty, and serial correlation. Serial correlation was addressed by inclusion of autoregressive or moving average error correction terms. Multicollinearity was solved by first differencing. The 36 year sample series set (1970-2006) was divided into a 30 years sub-period for calibration and a 6 year "hold-out" sub-period for validation. The Root Mean Square Error or RMSE criterion was adopted to select the "best model" among other possible choices, although other criteria were also recorded. Three scenarios for the size of the light vehicle fleet in a forecasting period up to 2020 were created. These scenarios were equivalent to growth rates of 2.1, 1.28, and about 1 per cent per year. The last or more optimistic vehicle growth scenario, from the gasoline consumption perspective, appeared consistent with the theory of vehicle saturation. One scenario for the average miles per gallon indicator was created for each one of the size of fleet indicators by distributing the fleet every year assuming a 7 percent replacement rate. Three scenarios for the price of oil were also created: the first one used the average price of oil in the sample since 1970, the second was obtained by extending the price trend by exponential smoothing, and the third one used a longtime forecast supplied by the Energy Information Administration. The three scenarios created for the price of oil covered a range between a low of about 42 dollars per barrel to highs in the low 100's. The 1970-2006 gasoline consumption trend was extended to year 2020 by ARIMA Box-Jenkins time series analysis, leading to a gasoline consumption value of about 10 millions barrels per day in year 2020. This trend line was taken as the reference or baseline of gasoline consumption. The savings that resulted by application of the explanatory variable OLS model were measured against such a baseline of gasoline consumption. Even on the most pessimistic scenario the savings obtained by the progressive improvement of the fuel efficiency indicator seem enough to offset the increase in consumption that otherwise would have occurred by extension of the trend, leaving consumption at the 2006 levels or about 9 million barrels per day. The most optimistic scenario led to savings up to about 2 million barrels per day below the 2006 level or about 3 millions barrels per day below the baseline in 2020. The "expected" or average consumption in 2020 is about 8 million barrels per day, 2 million barrels below the baseline or 1 million below the 2006 consumption level. More savings are possible if technologies such as plug-in hybrids that have been already implemented in other countries take over soon, are efficiently promoted, or are given incentives or subsidies such as tax credits. The savings in gasoline consumption may in the future contribute to stabilize the price of oil as worldwide demand is tamed by oil saving policy changes implemented in the United States.

This study examines the impact of building use on the prevalence of illegal parking in Copenhagen. Illegal parking poses significant challenges to urban mobility, environmental sustainability, and urban aesthetics. By focusing on Copenhagen, a city renowned for its progressive urban policies and commitment to green mobility, this research investigates how different building use categories such as commercial, residential, institutional, industrial, leisure, and technical affect illegal parking incidents. Utilizing data from 2021 to 2023, the study employs spatial analysis and Ordinary Least Squares (OLS) regression to analyze the relationship between building use and illegal parking. The findings indicate that commercial buildings have the highest positive impact on illegal parking prevalence, followed by technical and institutional buildings. Conversely, residential buildings, while highly prevalent, show a less significant impact on illegal parking. The study underscores the importance of urban design and effective parking management in mitigating illegal parking. Proximity to public transportation hubs shows a complex relationship with illegal parking, highlighting the need for comprehensive strategies that address both parking demand and public transport accessibility. These findings provide valuable insights for urban planners and policymakers aiming to develop sustainable urban environments.

Cette thèse s'inscrit dans le domaine des problèmes inverses en traitement du signal. Elle est consacrée à la conception d'algorithmes de restauration et de séparation de signaux parcimonieux et à leur application à l'approximation de courbes de forces en microscopie de force atomique (AFM), où la notion de parcimonie est liée au nombre de points de discontinuité dans le signal (sauts, changements de pente, changements de courbure). Du point de vue méthodologique, des algorithmes sous-optimaux sont proposés pour le problème de l'approximation parcimonieuse basée sur la pseudo-norme l0 : l'algorithme Single Best Replacement (SBR) est un algorithme itératif de type « ajout-retrait » inspiré d'algorithmes existants pour la restauration de signaux Bernoulli-Gaussiens. L'algorithme Continuation Single Best Replacement (CSBR) est un algorithme permettant de fournir des approximations à des degrés de parcimonie variables. Nous proposons aussi un algorithme de séparation de sources parcimonieuses à partir de mélanges avec retards, basé sur l'application préalable de l'algorithme CSBR sur chacun des mélanges, puis sur une procédure d'appariement des pics présents dans les différents mélanges. La microscopie de force atomique est une technologie récente permettant de mesurer des forces d'interaction entre nano-objets. L'analyse de courbes de forces repose sur des modèles paramétriques par morceaux. Nous proposons un algorithme permettant de détecter les régions d'intérêt (les morceaux) où chaque modèle s'applique puis d'estimer par moindres carrés les paramètres physiques (élasticité, force d'adhésion, topographie, etc.) dans chaque région. Nous proposons finalement une autre approche qui modélise une courbe de force comme un mélange de signaux sources parcimonieux retardées. La recherche des signaux sources dans une image force-volume s'effectue à partir d'un grand nombre de mélanges car il y autant de mélanges que de pixels dans l'image / This thesis handles several inverse problems occurring in sparse signal processing. The main contributions include the conception of algorithms dedicated to the restoration and the separation of sparse signals, and their application to force curve approximation in Atomic Force Microscopy (AFM), where the notion of sparsity is related to the number of discontinuity points in the signal (jumps, change of slope, change of curvature).In the signal processing viewpoint, we propose sub-optimal algorithms dedicated to the sparse signal approximation problem based on the l0 pseudo-norm : the Single Best Replacement algorithm (SBR) is an iterative "forward-backward" algorithm inspired from existing Bernoulli-Gaussian signal restoration algorithms. The Continuation Single Best Replacement algorithm (CSBR) is an extension providing approximations at various sparsity levels. We also address the problem of sparse source separation from delayed mixtures. The proposed algorithm is based on the prior application of CSBR on every mixture followed by a matching procedure which attributes a label for each peak occurring in each mixture.Atomic Force Microscopy (AFM) is a recent technology enabling to measure interaction forces between nano-objects. The force-curve analysis relies on piecewise parametric models. We address the detection of the regions of interest (the pieces) where each model holds and the subsequent estimation of physical parameters (elasticity, adhesion forces, topography, etc.) in each region by least-squares optimization. We finally propose an alternative approach in which a force curve is modeled as a mixture of delayed sparse sources. The research of the source signals and the delays from a force-volume image is done based on a large number of mixtures since there are as many mixtures as the number of image pixels

Denna uppsats undersöker hur effektivt det vore att hedga svenska bostadspriser under tidsperioden 2005–2017 med hjälp av ett bostadsprisindex. Uppsatsen undersöker ickeperiodiserade och periodiserade hedgar genom tre olika hedgingstrategier i form av statisk, dynamisk och optimal hedge. Hedge ratios skattas via tre olika hedgingmetoder bestående av OLS, ECM och en naiv hedge. Genom att både använda ett nationellt och regionalt hedginginstrument analyseras skillnaden i hedgingeffektivitet i respektive region som hedgas. Hedgingeffektiviteterna bedöms i termer av reducerad varians vilket har fastställts genom justerad förklaringsgrad samt en alternativ beräkningsmetod för att presentera rättvisande resultat. Med avstamp i resultatet av hedgingeffektivitet och med hjälp av tidigare litteratur genomförs även en analys av förutsättningar för en bostadsprisderivatmarknad i Sverige. Genom studiens uppbyggda analysmodell påvisar undersökningen att ett nationellt hedginginstrument överlag är mer effektivt än ett regionalt hedginginstrument för att hedga bostadsprisrisken i Sverige för den undersökta tidsperioden. Våra resultat pekar på att svenska bostäder inhyser en stor grad av idiosynkratisk risk där den ohedgbara risken är beroende utav vilket hedginginstrument som används. Sammanfattningsvis finner vi det svårt att hedga all form av bostadsprisrisk på den svenska bostadsmarknaden. I dagsläget finns det ingen möjlighet för svenska hushåll att riskjustera sin exponering mot bostadsprisrisken. Ur ett transaktionskostnadsperspektiv anser vi att finansiell bildning kan vara en av de stora anledningarna till att en marknad för att riskjustera bostadsprisrisken inte finns. Dels saknas det kunskap för att applicera en hedge men bostadsägarna kan sakna vetskap om sitt egna behov av att skydda sig mot bostadsprisrisken.

Les flavan-3-ols et leurs polymères, les proanthocyanidines, appartiennent à une famille de flavonoïdes appelée les tannins condensés. Ces composés polyphénoliques jouent un rôle essentiel dans la qualité phytosanitaire des baies de raisin ainsi que dans les propriétés organoleptiques du vin (flaveur, astringence et couleur). La connaissance des mécanismes qui régissent leur biosynthèse est donc primordiale afin de mieux comprendre la mise en place de la typicité d’un vin. Ce mémoire est consacré à l’étude de l’une des enzymes responsables de la synthèse des flavan-3-ols : la leucoanthocyanidine réductase 1 de Vitis vinifera (VvLAR1). Dans une première partie, nous décrivons les conditions d’expression, de purification et de stabilité de l’enzyme recombinante. L’activité enzymatique est démontrée et la configuration 2R,3S des produits réactionnels caractérisée. La seconde partie de ce manuscrit décrit l’étude structurale de l’enzyme. Des monocristaux d’apoenzyme, de complexes binaires (VvLAR1 / NADPH) et d’un complexe ternaire (VvLAR1 / NADPH / (+)-catéchine) ont été obtenus. Les différentes structures permettent de décrire les modifications structurales associées à la fixation du coenzyme puis du produit. Un mécanisme catalytique basé sur les interactions intermoléculaires observées au sein du complexe ternaire est proposé. La troisième partie de ce mémoire est consacrée à la recherche de conditions expérimentales permettant la production et la stabilisation de la leucocyanidine en solution, un des substrats naturels de l’enzyme. Les résultats obtenus permettent une première approche de l’étude des propriétés cinétiques de la VvLAR1. / Flavan-3-ols and their polymerisation products, proanthocyanidins, belong to a flavonoid family named condensed tannins. These polyphenolic compounds play a major role in the protection of grape berries to intruders and in the organoleptic properties of wine (flavour, astringency and colour). Knowledge of the mechanisms which govern their biosynthesis is thus essential to better understand wine typical composition. The present thesis is devoted to the investigation of one of the two enzymes which catalyse the flavan-3-ols formation: leucoanthocyanidin reductase 1 from Vitis vinifera (VvLAR1). In the first part of the manuscript, we describe the expression, purification and stability conditions of the recombinant enzyme. The enzyme activity is demonstrated and the reaction product 2R,3S configuration is characterised. The second part of this report describes the structural studies of the enzyme. Monocrystals of the apoenzyme and of binaries (VvLAR1 / NADPH) and a ternary (VvLAR1 / NADPH / (+)-catechin) complexes were obtained. These different structures allow the description of the structural changes associated with the coenzyme and then the substrate binding. A catalytic mechanism, based on the intermolecular interactions within the ternary complex, is proposed. The last part of the work is devoted to the investigation of the experimental conditions leading to the stability of leucocyanidin in solution, one of the natural substrates of the enzyme. The results obtained allow a first study of the VvLAR1 kinetic properties.

This thesis provides a thorough analysis of the covered- and uncovered interest parity conditions (CIP, UIP) as well as the forward rate unbiasedness hypothesis (FRUH) for Sweden and the European Economic and Monetary Union (EMU). By studying data on interbank rates in Sweden (STIBOR) and the EMU (EURIBOR) as well as the corresponding spot- and forward exchange rates, monetary integration and country-specific risks are determined and analyzed with direct applications to the potential entry of Sweden into the EMU. As interest rate parity in general gives insight into market efficiency and frictions between the chosen regions, such points are discussed in addition to EMU entry. Drawing on past studies that mainly studied one condition in isolation, a nested formulation of interest rate parity is instead derived and tested using cointegration and robust estimation methods. The results point to a strict rejection of the FRUH for all horizons except the shortest and a case where CIP only holds for the 6-month horizon and partially over one year. This implies, based on the nested formulation, that UIP is rejected for all horizons as well. Ultimately, the study concludes that a Swedish entry into the EMU is not motivated given the lackluster results on UIP and due to the lack of monetary integration. / Den här uppsatsen presenterar en djupgående analys av det kurssäkrade- och icke-kurssäkrade ränteparitetsvillkoret samt den effektiva marknadshypotesen på valutaterminer för Sverige och den europeiska ekonomiska och monetära unionen (EMU). Genom att studera data på interbankräntor i Sverige (STIBOR) och EMU (EURIBOR) samt respektive spot- och valutaterminskurser så skattas och analyseras monetär integration samt landsspecifika risker med en direkt tillämpning på Sveriges eventuella inträde i EMU. Eftersom ränteparitet generellt ger insikt i marknadseffektivitet och friktioner regioner emellan, diskuteras även dessa punkter utöver ett eventuellt EMU-inträde. Genom att bygga på föregående studier som i huvudsak studerar ränteparitetsvillkoren var för sig, härleds en sekventiell formulering av villkoren som sedan testas med kointegration och robusta estimeringsmetoder. Resultaten ger att den effektiva marknadshypotesen strikt förkastas på alla tidshorisonter förutom på en dag respektive en vecka, samt att kurssäkrad ränteparitet håller på 6 och delvis 12 månaders sikt. Baserat på den sekventiella formuleringen så innebär detta att icke-kurssäkrad ränteparitet inte håller på någon tidshorisont. Slutligen, baserat på både resultat och diskussion, är ett svenskt inträde i EMU inte motiverbart givet negativa resultat för icke-kurssäkrad ränteparitet och avsaknaden av fullständig monetär integration mellan regionerna.

La sclérose en plaques (SP) est une maladie neuro-inflammatoire caractérisée par l’invasion de cellules immunitaires périphériques dans le système nerveux central (SNC), entraînant une perte de myéline à des endroits bien délimités appelés « plaques » ou lésions. Les processus neuroinflammatoires sont associés au dommage des neurones et oligodendrocytes (OLs) en SP. Les mécanismes sous-tendant cette dégradation des OLs par les cellules immunitaires en SP sont toutefois encore mal compris. Les lymphocytes T CD4 activés, notamment les sous-types proinflammatoires Th1 et Th17, jouent un rôle clé dans la pathobiologie de la SP et de son modèle murin l’encéphalite auto-immune expérimentale (EAE). Nous avons donc choisi d’investiguer leur contribution à l’endommagement des OLs en neuroinflammation. Pour ce faire, nous avons premièrement caractérisé les interactions entre les lymphocytes Th17 et les OLs matures in vivo à l’aide de l’imagerie intravitale chez la souris EAE (microscopie deux photons) et in vitro en utilisant des cultures primaires humaines. Ceci nous a permis de mettre en évidence que les lymphocytes pro-inflammatoires Th17 adhèrent de façon prolongée aux OLs et leur causent plus de dommage que les lymphocytes anti-inflammatoires Th2. Après avoir établi que le contact avec les lymphocytes Th17 entraîne tout d’abord la perte des prolongements cellulaires puis la mort des OLs, nous avons identifié deux mécanismes à l’origine de ces dommages. En effet, tandis que la sécrétion de glutamate par les lymphocytes Th17 à proximité des OLs entraîne une perte des prolongements cellulaires de ces derniers et une diminution de leur capacité à myéliniser, la sécrétion de granzyme B mène à la mort des OLs. Dans le but de comprendre comment prévenir les dommages causés par les lymphocytes Th17 aux OLs en SP, nous avons par la suite étudié les mécanismes sous-tendant le contact entre les deux types cellulaires. Comme nous avons confirmé que les OLs matures n’expriment pas le MHC II au niveau protéique, nous avons caractérisé l’expression par les OLs de molécules d’adhérence cellulaire (CAMs) qui seraient susceptibles de sous-tendre l’adhérence des lymphocytes Th17. Nous avons découvert que cette interaction est notamment médiée par ALCAM, et que bloquer cette molécule permet de diminuer le dommage aux OLs médié par les Th17 in vitro. A l’inverse, l’expression et/ou la sécrétion d’ICAM-1 par les OLs semble avoir un effet protecteur face aux lymphocytes Th17. En résumé, nous avons distingué de nouveaux mécanismes impliqués dans le dommage aux OLs en neuroinflammation et identifié de nouvelles cibles thérapeutiques prometteuses pour la protection des OLs en SP. / Multiple Sclerosis (MS) is a neuroinflammatory disease characterized by infiltration of immune cells into the central nervous system (CNS), demyelination in multifocal areas called “plaques” or lesions, and damage to neurons and oligodendrocytes (OLs). The mechanisms underlying immune-mediated injury to OLs in MS remains only partially understood. Activated CD4 T cells, in particular pro-inflammatory subsets Th1 and Th17, play an important role in the pathobiology of MS and its animal model experimental autoimmune encephalitis (EAE). We set out to investigate their contribution to immune-mediated oligodendrocytic damage in neuroinflammation. We first characterized the interactions between Th17 cells and mature OLs in vivo using live imaging of EAE mice (two photon microscopy) and in vitro using human primary cell cultures. We found that pro-inflammatory Th17 cells form prolonged contacts with OLs and cause greater harm compared to anti-inflammatory Th2 cells. After demonstrating that contact with Th17 cells leads first to destruction of cell processes and then death of OLs, we identified two mechanisms underlying these deleterious impacts. Indeed, while secretion of glutamate by Th17 cells in contact with OLs is associated with damage to OLs cell processes and impairment of their myelinating capacity, secretion of granzyme B leads to OLs death. To better understand how to prevent Th17-mediated OLs injury in MS, we next studied mechanisms involved in the interaction between these two cell types. As we confirmed that mature OLs do not express MHC II at the protein level, we characterized expression of cell adhesion molecules (CAMs) by OLs that could mediate Th17 cell adhesion. We discovered that ALCAM contributes to OLs and Th17 cells interactions, and that blocking this olecule reduces Th17-mediated OL damage in vitro. Inversely, ICAM-1 expression and/or secretion by OLs seems to have a protective effect in neuroinflammatory conditions. In summary, we have uncovered new mechanisms implicated in OLs njury in neuroinflammation and have identified potential novel therapeutic targets for neuroprotection in MS.

O objetivo deste trabalho foi estudar a aplicação de reator anaeróbio serial (RAS) no processamento de vinhaça de cana-de-açúcar para a remoção de matéria orgânica e produção de biogás, submetido ao aumento gradativo de carregamento orgânico. Para tanto, foi utilizado um reator composto por quatro câmaras em série denominadas C1, C2, C3 e C4, com capacidade de 5 L cada, totalizando um volume de 20 L. A primeira etapa do trabalho (Etapa 1) consistiu na operação e monitoramento do reator RAS partindo-se da aplicação da carga orgânica volumétrica (COV) de 0,5 kg DQO m-3.d-1 até a obtenção da COV de 2,5 kg DQO m-3.d-1. Na segunda etapa (Etapa 2) foram operados reatores em batelada sequencial, simulando a operação contínua do reator RAS, visando estudar o efeito do aumento de taxas de carregamento orgânico aplicado. O reator RAS operou sob baixos valores de COVglobal e COALglobal aplicados na Etapa 1, obtendo-se máximas de 2,50 kg DQO m-3.d-1 e 0,167 kg STV m-3.d-1, respectivamente. Os resultados obtidos da Etapa 1 indicam satisfatória remoção global média de matéria orgânica na forma de DQO, superiores a 90 %, propiciada pela adaptação da biomassa ao longo dos reatores sequenciais. O metano apresentou-se como o gás predominante na composição do biogás produzido, com valores acima de 75 %, que confirmam o estabelecimento do sistema metanogênico pleno. Em todos os compartimentos dos reatores sequenciais verificou-se maior abundância relativa para os domínios Archaea e Bacteria os gêneros Methanosaeta, produtores de metano e, T78, responsável pela degradação de açúcares, respectivamente. Principalmente para os reatores C3 e C4, observou-se adaptação de algumas populações para ambos os domínios Bacteria e Archaea indicado pelo menor índice de diversidade e aumento da dominância. O aumento das taxas de carregamento orgânico aplicado ao lodo, estipuladas nos ensaios em batelada na Etapa 2, propiciou o aumento dos valores de carga orgânica aplicada para todos os reatores. Com o aumento do carregamento orgânico aplicado, observa-se o aumento e acúmulo de ácidos orgânicos para todas as fases dos ensaios, principalmente o acético. A produção de metano foi significativa na operação dos reatores em batelada, principalmente em C1. De forma geral, os resultados obtidos demonstraram o bom desempenho do processamento da vinhaça de cana-de açúcar em reator compartimentado tipo RAS para a remoção de matéria orgânica e produção de biogás. / The aim of this study was to investigate the application of an anaerobic serial reactor (ASR) in the sugarcane stillage processing for the removal of organic matter and biogas production, submitted to the gradual increase in organic loading rate. ASR reactor consisted of four reactors operated in series (C1, C2, C3 and C4), each with a reaction volume of 5 L (total volume of 20 L). The first step (Step 1) consisted of reactor operation and monitoring; organic loading rate was gradually increased from 0.5 kg COD m-3d-1 up to 2.5 kg COD m-3 d-1. In the second step (Step 2), sequential batch reactors were operated, simulating the continuous ASR reactor operation, aiming to study the effect of the increase of organic load applied to sludge (OLS). The ASR reactor operated under low values of COVglobal and COALglobal applied in Step 1, obtaining a maximum 2.50 kg COD m-3d-1 and 0.167 kg TVS/m-3d-1, respectively. The results obtained from Step 1 indicated satisfactory removal of the global average organic matter in the form of COD more than 90 %, caused by adaptation of the biomass along the sequential reactors. Methane appeared to be the predominant gas in biogas composition, with values above 75%, which confirmed the establishment of the full methanogenic system. In all compartments of the sequential reactors, there was a higher relative abundance for the domains Archaea and Bacteria of the genera Methanosaeta, methane producers, and T78, which is responsible for degradation of sugars, respectively. Especially for the reactors C3 and C4, the adaptation of some populations for both domains Bacteria and Archaea indicated was observed by the lower diversity index and increase in dominance. The increase of the organic loading rates applied to the sludge, as established in the batch tests, increased the organic load values applied to all reactors. With the increase of organic loading applied, an increase in the accumulation of organic acids, mainly acetic, for all stages and the batch tests. Methane production was significant in the operation of batch reactors, mainly in the C1. In general, the results obtained showed good performance of the processing of the sugarcane stillage in serial reactor (ASR) for the removal of organic matter and biogas production.