Estimation of the variation in the integrated hydraulic conductivity around the Tunåsen infiltration facility - An investigation of the effects of uncertainties in existing information Almost half of Sweden’s drinking water volume is produced from groundwater. The main fraction of this is extracted from eskers, some of which allow for very large extraction rates. Despite this, the groundwater volume is not sufficient in some areas. This has led to an extensive use of artificial recharge. In Uppsala, the total volume added through artificial recharge is divided between four infiltration facilities. The largest of these facilities is Tunåsen basin infiltration facility, which is situated along the Uppsala esker. For Tunåsen as well as for other recharge facilities, it is of great importance that the infiltrated water is allowed a sufficient transport time before it is extracted further down the flow path. This is in order to ensure that the water obtains characteristics similar to those of natural groundwater. A way to estimate the transport time is to model the groundwater flow in the area between the infiltration facility and the extraction site. However, due to the fact that groundwater flow in eskers often is very complex, modeling such a system requires data of high quality and resolution. The aim of this master’s thesis was to document the variation in estimated values of integrated horizontal hydraulic conductivity and to investigate how the variation was affected by uncertainties connected to existing information for the area between the Tunåsen infiltration facility and the extraction sites in Storvad and Galgbacken. The thesis was done as a pilot study for Uppsala vatten och avfall AB’s upcoming construction of a high-resolution model of the Uppsala and Vattholma eskers. The investigation began with a literature review, from which existing information was compiled. An integrated horizontal hydraulic conductivity was calculated based on two types of information: descriptions of the layers in borehole profiles and information from sieve analyses. The obtained values were then compared to a rough estimate based on information about groundwater flow and hydraulic gradient. The compilation of existing material showed that the largest uncertainties were related to borehole profiles. This was due to the use of different ways to describe soil layers and to lack of information of a soil layer’s true grain size composition. The calculations of integrated hydraulic conductivity showed the largest variation when based on descriptions of borehole profiles. The calculations that were made based on sieve analyses as well as the rough estimate based on groundwater flow and hydraulic gradient showed a smaller variation. However, without the existence of measurements of the actual hydraulic conductivity, it is impossible to say for certain how the documented uncertainties affect the variation. In the upcoming work with the construction of the high-resolution model it is therefore of great importance that such information is obtained, for example by performing pumping tests. / Skattning av den integrerade hydrauliska konduktivitetens variation kring Tunåsens infiltrationsanläggning - En utredning av påverkan från möjliga osäkerheter i befintlig information I Sverige utgörs nästan hälften av den totala dricksvattenvolymen av grundvatten. Den största delen av grundvattnet utvinns ur rullstensåsar, vilka i vissa fall tillåter mycket stora uttag. Trots detta är grundvattenvolymen på vissa håll inte tillräcklig. Detta har lett till att den naturliga grundvattenmängden i sex procent av landets grundvattentäkter kompletteras genom konstgjord infiltration. I Uppsala sker konstgjord infiltration på fyra platser, där Tunåsens infiltrationsanläggning belägen på Uppsalaåsen är den största. För Tunåsen såväl som för andra områden där konstgjord infiltration används, är det av stor betydelse att det infiltrerade vattnet har en tillräckligt lång transporttid mellan infiltrations- och uttagspunkt för att möjliggöra att det får grundvattenliknande egenskaper innan det pumpas upp. Ett sätt att uppskatta denna transporttid är genom att modellera grundvattenflödet i området mellan infiltrationsanläggningen och den eller de grundvattentäkter där vattnet pumpas upp. Till följd av att grundvattenströmningen i rullstensåsar ofta är komplex, ställer dock en modellering av ett sådant område stora krav på både kvalitet och upplösning hos den information från vilken modellen byggs upp. Syftet med detta examensarbete var att dokumentera variationen i en skattad integrerad horisontell hydraulisk konduktivitet och utvärdera hur denna påverkades av osäkerheter relaterade till den idag befintliga informationen för området mellan Tunåsens infiltrationsanläggning och Storvads respektive Galgbackens grundvattentäkt. Detta gjordes som en förstudie till Uppsala vatten och avfall ABs kommande arbete med upprättandet av en noggrann modell över hela Uppsala- och Vattholmaåsen. Arbetet började med en litteraturstudie och en informationsinsamling, genom vilka den idag tillgängliga informationen sammanställdes. Utifrån den sammanställda informationen beräknades sedan värden på hydraulisk konduktivitet baserat på beskrivningarna i de upprättade lagerföljderna och baserat på information från tidigare utförda siktanalyser. De beräknade värdena jämfördes därefter med värden framtagna genom en överslagsberäkning baserad på information om grundvattenflöde och hydraulisk gradient. Sammanställningen av befintlig information visade på att de mest betydande osäkerheterna var relaterade till jordlagerdata, där de kunde kopplas till såväl användandet av olika beskrivningssätt i lagerföljderna som till brister i informationen om verklig kornstorleksfördelning. Skattningarna av integrerad horisontell hydraulisk konduktivitet resulterade i störst variation när de baserades på jordlagerföljderna, då det högsta värdet i många fall var 107 gånger så stort som det lägsta. De beräkningar som utfördes på siktanalyser visade på en mer begränsad variation, vilket även var fallet för överslagsberäkningarna. Utan mätningar på den verkliga hydrauliska konduktiviteten går det dock inte att säkert avgöra hur mycket de funna osäkerheterna påverkar variationen. Inför utvecklingen av den kommande modellen är det därför nödvändigt att komplettera den idag befintliga informationen med ny data, till exempel genom att provpumpningar utförs.

La Mer d’Iroise est observée depuis 2006, par des radars à haute fréquence (HF) qui estiment les courants de surface. Ces mesures ont une finesse temporelle et spatiale pour permettre de capturer la dynamique fine du domaine côtier. Ce travail de thèse vise à la conception et l’application d’une méthode d’assimilation de ces données dans un modèle numérique réaliste pour optimiser le frottement sur le fond et corriger l’état du modèle afin de mieux représenter la circulation résiduelle de marée et les positions des fronts d’Ouessant en mer d’Iroise. La méthode d’assimilation de données utilisée est le Filtre de Kalman d’Ensemble dont l’originalité est l’utilisation d’une modélisation stochastique pour estimer l’erreur du modèle. Premièrement, des simulations d’ensemble ont été réalisées à partir de la perturbation de différents paramètres du modèle considérés comme sources d’erreur : le forçage météo, la rugosité de fond, la fermeture turbulente horizontale et la rugosité de surface. Ces ensembles ont été explorés en termes de dispersion et de corrélation d’ensemble. Un Lisseur de Kalman d’Ensemble a ensuite été utilisé pour optimiser la rugosité de fond (z0) à partir des données de courant de surface et d’un ensemble modèle réalisé à partir d’un z0 perturbé et spatialisé. La méthode a d’abord été testée en expérience jumelle puis avec des observations réelles. Les cartes du paramètre z0, optimisés, réalisées avec des observations réelles, ont ensuite été utilisées dans le modèle sur une autre période et les résultats ont été comparés avec des observations sur la zone. Enfin, des expériences jumelles ont été mises en place pour corriger l’état modèle. Deux méthodes ont été comparées, une prenant en compte la basse fréquence en filtrant la marée des données et du modèle pour réaliser l’analyse ; l’autre prenant en compte tout le signal. Avec ces expériences, on a tenté d’évaluer la capacité du filtre à contrôler à la fois la partie observée du vecteur d’état (courant de surface) et la partie non-observée du système (température de surface). / The Iroise Sea has been observed since 2006 by High Frequency (HF) radars, which estimate surface currents. These measurements offer high resolution and high frequency to capture the dynamics of the coastal domain. This thesis aims at designing and applying a method of assimilation of these data in a realistic numerical model to optimize the bottom friction and to correct the model state in order to improve the representation of the residual tidal circulation and the positions of the Ushant fronts in the Iroise Sea. The method of data assimilation used is the Ensemble Kalman Filter. The originality of this method is the use of a stochastic modeling to estimate the model error. First, ensemble simulations were carried out from the perturbation of various model parameters which are the model error sources: meteorological forcing, bottom friction, horizontal turbulent closure and surface roughness. These ensembles have been explored in terms of dispersion and correlation. An Ensemble Kalman smoother was used to optimize the bottom friction (z0) from the surface current data and from an ensemble produced from a perturbed and spatialized z0. The method is tested with a twin experiment and then with real observations. The optimized maps of parameter z0, produced with the real currents, were used in the model over another period and the results were compared with independent observations. Finally, twin experiments were conducted to test the model state correction. Two approaches were compared; first, only the low frequency, by filtering the tide in the data and in the model, is used to perform the analysis. The other approach takes the whole signal into account. With these experiments, we assess the filter's ability to control both the observed part of the state vector (currents) and the unobserved part of the system (Sea surface Temperature).

This thesis focuses on explanations of terms relating to public works and dividing it by the value of contracts. The main objective is to analyze the amount of intermediate values of public works contracts, tenders Administration and maintenance of roads in the South Moravian Region four levels of the process, ie the expected value, control budget, the price in the contract for work and real value. The practical part of this process will be demonstrated from historical data procurement of the years 2009, 2010 and 2011.

Double sampling procedure is adapted from a statistical branch called acceptance sampling. The first Shewhart-type double sampling monitoring scheme was introduced in the statistical process monitoring (SPM) field in 1974. The double sampling monitoring scheme has been proven to effectively decrease the sampling effort and, at the same time, to decrease the time to detect potential out-of-control situations when monitoring the location, variability, joint location and variability using univariate or multivariate techniques. Consequently, an overview is conducted to give a full account of all 76 publications on double sampling monitoring schemes that exist in the SPM literature. Moreover, in the review conducted here, these are categorized and summarized so that any research gaps in the SPM literature can easily be identified. Next, based on the knowledge gained from the literature review about the existing designs for monitoring the process mean, a new type of double sampling design is proposed. The new charting region design lead to a class of a control charts called a side-sensitive double sampling (SSDS) monitoring schemes. In this study, the SSDS scheme is implemented to monitor the process mean when the underlying process parameters are known as well as when they are unknown. A variety of run-length properties (i.e., the 5th, 25th, 50th, 75th, 95th percentiles, the average run-length (𝐴𝑅𝐿), standard deviation of the run-length (𝑆𝐷𝑅𝐿), the average sample size (𝐴𝑆𝑆) and the average extra quadratic loss (𝐴𝐸𝑄𝐿) metrics) are used to design and implement the new SSDS scheme. Comparisons with other established monitoring schemes (when parameters are known and unknown) indicate that the proposed SSDS scheme has a better overall performance. Illustrative examples are also given to facilitate the real-life implementation of the proposed SSDS schemes. Finally, a list of possible future research ideas is given with hope that this will stimulate more future research on simple as well as complex double sampling schemes (especially using the newly proposed SSDS design) for monitoring a variety of quality characteristics in the future. / Statistics / M. Sc. (Statistics)

The doctoral thesis deals with design of non-invasive methods for estimated reliability analysis of power oil transformers. Such procedures also solve two-state and multistate reliability problems together with applying of gained reliability characteristics in planning further operation of these non-rotating electrical machines. Reliability module for diagnostic system, which is developed at the training workplace, is designed in conclusion of this thesis. All the above procedures were verified on data obtained from diagnostic measurements of ten power oil transformers operating in different power plants in the Czech Republic.

Background: Higher protein diets, especially from animal sources, have seen a rise in popularity due to potential metabolic. This may have consequences for kidney function particularly in rising middle class populations who are allocating more income towards meat. The objective of this systematic review and meta-analysis was to evaluate the effects of higher versus lower protein intake on glomerular filtration rate (GFR) in adult populations without renal impairment. Methods: Search strategies were developed and electronic databases searched: MEDLINE and EMBASE. Data were extracted up until June 3, 2015. The main outcome measure was GFR and a random effect model (Cochrane’s Review Manager Version 5.3) was used to pool mean differences in GFR values. Results: Database searches yielded 25 trials from 1914 articles that were eligible for analysis based on inclusion/exclusion criteria. 12 studies were randomized controlled trials and 11 studies were crossover trials. As a result of data presented, 2 crossover studies were treated as 4 trials to result in 25 total trials. A total of 810 subjects from 25 trials were included in this systematic review and meta-analyses. The age of participants was 24-62 years and their BMI was 21-36 kg/m2. Higher protein compared to lower protein-containing diets were associated with increased GFR values [mean difference (MD): 8.33 ml/min (95% CI 4.87 to 11.79), P < 0.00001] but this was less pronounced when assessing change from baseline GFR values [MD: 4.71 ml/min (95% CI 0.06 to 9.36), P = 0.05]. Moreover, significant heterogeneity was present and funnel plot asymmetry indicated potential publication bias in both meta-analyses. Conclusion: Higher protein diets were associated with increased GFR, however, these results were inconclusive due to significant heterogeneity and overestimation by random effect analyses. There is still no clear evidence that high protein diets negatively impact renal function in healthy populations. / Thesis / Master of Science (MSc) / Globally, the leading causes of mortality in industrialized countries are cardiovascular disease (CVD), stroke, and type 2 diabetes (T2D). Deaths from these chronic diseases now outpace deaths due to malnutrition. Being overweight and obese increases the risk of both morbidity and mortality from CVD, stroke, and T2D. Global rates of overweight and obesity have now reached ‘epidemic’ proportions and the World Health Organization has stated that, “… [a] global epidemic of overweight and obesity – ‘globesity’ – is taking over many parts of the world. If immediate action is not taken, millions will suffer from an array of serious health disorders.” Over the past 20-30 years, the popularity of higher protein energy restricted diets have grown due to the potential benefits regarding weight loss, appetite regulation, and maintenance of lean (muscle) mass. Additionally, the expansion of the global ‘middle-class’ has resulted in families allocating more income towards meat products as a primary protein source in their diet. A health concern is that higher protein intake may have an adverse effect on kidney function. In individuals with chronic kidney disease, higher protein diets have been shown to result in further renal impairment. However, the effects of increased protein intake in healthy populations are unclear. The aim of this systematic review and meta-analysis was to compare higher versus lower protein diets on kidney function in healthy populations based on the literature to date. This was accomplished by looking at changes in glomerular filtration rate (the rate at which kidneys filter blood), which is the ‘gold standard’ marker of kidney function.

Market prices in the liberalized European electricity system play a crucial role in promoting competition, ensuring grid stability, and maximizing profits for market participants. Accurate electricity price forecasting algorithms have, therefore, become increasingly important in this competitive market. However, existing evaluations of forecasting models primarily focus on overall accuracy, overlooking the underlying causality of the predictions. The thesis explores two state-of-the-art forecasters, the deep neural network (DNN) and the Lasso Estimated AutoRegressive (LEAR) models, in the EPEX-BE and Nord Pool markets. The aim is to understand if their predictions can be trusted in more general settings than the limited context they are trained in. If the models produce poor predictions in extreme conditions or if their predictions are inconsistent with reality, they cannot be relied upon in the real world where these forecasts are used in downstream decision-making activities. The results show that for the EPEX-BE market, the DNN model outperforms the LEAR model in terms of overall accuracy. However, the LEAR model performs better in predicting negative prices, while the DNN model performs better in predicting price spikes. For the Nord Pool market, a simpler DNN model is more accurate for price forecasting. In both markets, the models exhibit behaviours inconsistent with reality, making it challenging to trust the models’ predictions. Overall, the study highlights the importance of understanding the underlying causality of forecasting models and the limitations of relying solely on overall accuracy metrics. / Priserna på den liberaliserade europeiska elmarknaden spelar en avgörande roll för att främja konkurrens, säkerställa stabilitet i elnätet och maximera aktörernas vinster. Exakta prisprognoalgoritmer har därför blivit allt viktigare på denna konkurrensutsatta marknad. Existerande utvärderingar av prognosverktyg fokuserar emellertid på den övergripande noggrannheten och förbiser de underliggande orsakssambanden i prognoserna. Denna rapport utforskar två moderna prognosverktyg, DNN (Deep Neural Network) och LEAR (Lasso Estimated AutoRegressive) på elmarknaderna i Belgien respektive Norden. Målsättningen är att förstå om deras prognoser är pålitliga i mer allmänna sammanhang än det begränsade sammahang som de är tränade i. Om modellerna producerar dåliga prognoser under extrema förhållanden eller om deras prognoser inte överensstämmer med verkligheten så kan man inte förlita sig på dem i den verkliga världen, där prognoserna ligger till grund för beslutsfattande aktiviteter. Resultaten för Belgien visar att DNN-modellen överträffar LEAR-modellen när det gäller övergripande noggrannhet. LEAR-modellen presterar dock bättre när det gäller att förutse negativa priser, medan DNN-modellen presterar bättre när det gäller prisspikar. På den nordiska elmarknaden är en enklare DNN-modell mer noggrann för prisprognoser. På båda marknaden visar modellerna beteenden som inte överensstämmer med verkligheten, vilket gör det utmanande att lita på modellernas prognoser. Sammantaget belyser studien vikten av att förstå de underliggande orsakssambanden i prognosmodellerna och begränsningarna med att enbart förlita sig på övergripande mått på noggrannhet.

Queueing theory is widely used in practical queuing applications. It can be applied for specific models of queuing systems, especially the ones that follow the Markovian property. Its purpose is to predict system behaviour in order to be used for performance optimization. In this case study, it was used to evaluate an extended queuing model with agents serving multiple queues. The purpose was to try to capture more variability and input factors into the theoretical model and test its applicability on more extended models. The main objective was to use relevant queuing theory models to estimate the wait time using real contact center data. Different from the theoretical model, the service rates of the system model depended on how many queues an agent served concurrently, which increased the complexity of the model. The obtained results demonstrated some limitations that made the models too restrictive to be applied to a model with multi-skilled agents that were not equally available. Moreover, it was shown that heuristical approaches might be more suitable for more complex queuing systems that are not covered in queueing theory models. / Köteori används i stor utsträckning i praktiska kö-applikationer. Den kan tillämpas för specifika modeller av kö-system, speciellt de som följer Markovegenskapen. Dess syfte är att förutse systembeteende för att kunna användas för prestandaoptimering. I denna fallstudie användes den för att utvärdera en utökad kömodell med agenter som betjänade flera köer. Syftet var att försöka fånga mer variabilitet och inputfaktorer i den teoretiska modellen och testa dess tillämplighet för mer utökade modeller. Huvudmålet var att använda relevanta kö-teorimodeller för att estimera väntetiden med användning av riktiga contact center data. Till skillnad från den teoretiska modellen, betjäningsintensiteten för systemmodellen berodde på hur många köer en agent betjänade samtidigt, vilket ökade komplexiteten av modellen. De erhållna resultaten visade begränsningar som gjorde modellen för restriktiv för att appliceras på en modell med fler-kvalificerade agenter som inte var lika tillgängliga. Utöver detta så visade det sig att heuristiska metoder kan vara mer lämpliga för mer komplicerade system som inte täcks av kö-teori modeller.

Le virus de l'immunodéficience humaine (VIH) est à l’origine d’une infection chronique, elle-même responsable du développement du syndrome d'immunodéficience acquise (SIDA), un état de grande vulnérabilité où le corps humain est à la merci d’infections opportunistes pouvant s’avérer fatales. Aujourd’hui, 30 ans après la découverte du virus, même si aucun vaccin n’a réussi à contrôler la pandémie, la situation s’est grandement améliorée. Conséquemment à l’arrivée de traitements antirétroviraux hautement actifs (HAART) à la fin des années 1990, la mortalité associée au VIH/SIDA a diminué et un plus grand nombre de personnes vivent maintenant avec l'infection. La présente thèse avait pour objectif d’aborder trois situations problématiques, en dépit de l’efficacité reconnue des HAART, plus particulièrement la faible charge virale persistante (LLV) et sa relation avec l’échec virologique, ainsi que les effets de certains antirétroviraux (ARV) sur les fonctions rénale et hépatique. Les objectifs précis étaient donc les suivants : 1) étudier le risque d’échec virologique à long terme chez les patients sous HAART dont la charge virale est indétectable comparativement aux patients affichant une LLV persistante; 2) évaluer sur le long terme la perte de fonction rénale associée à la prise de ténofovir (TDF) 3) étudier sur le long terme l'hyperbilirubinémie associée à la prise d’atazanavir (ATV) et ses autres déterminants possibles. Afin d’atteindre les trois objectifs susmentionnés, une cohorte de 2 416 patients atteints du VIH/SIDA, suivis depuis juillet 1977 et résidant à Montréal, a été utilisée. Pour le premier objectif, les résultats obtenus ont montré un risque accru d’échec virologique établi à >1000 copies/ml d’ARN VIH chez tous les patients qui présentaient une LLV persistante de différentes catégories durant aussi peu que 6 mois. En effet, on a observé qu’une LLV de 50-199 copies/ml persistant pendant six mois doublait le risque d’échec virologique (Hazard ratio (HR)=2,22, Intervalle de confiance (CI) 95 %:1,60–3,09). Ces résultats pourraient modifier la façon dont on aborde actuellement la gestion des patients affichant une LLV, et plus particulièrement une LLV de 50-199 copies/ml, pour laquelle aucune recommandation clinique n’a encore été formulée en raison du manque de données. Pour le deuxième objectif, on a observé une augmentation du risque de perte de fonction rénale de l’ordre de 63 % (HR=1,63; 95% CI:1,26–2,10) chez les patients sous TDF comparativement aux patients traités avec d’autres ARV. La perte de fonction rénale directement attribuable à la prise de TDF, indique que cette perte est survenue au cours des premières années de l’exposition du patient au médicament. D’une perspective à long terme, cette perte est considérée comme modérée. Enfin, pour ce qui est du troisième objectif, on a constaté que l’incidence cumulative d’hyperbilirubinémie était très élevée chez les patients sous ATV, mais que cette dernière pouvait régresser lorsque l’on mettait fin au traitement. L’hyperbilirubinémie à long terme observée avec la prise d’ATV n’a été associée à aucun effet néfaste pour la santé. Dans l’ensemble, la présente thèse a permis de mieux comprendre les trois situations problématiques susmentionnées, qui font actuellement l’objet de débats au sein de la communauté scientifique, et d’éclairer sous un jour nouveau la gestion des patients séropositifs sous traitement médicamenteux. / Human immonudeficiency virus (HIV) is a virus causing a chronic infection responsible for Acquired Immunodeficiency Syndrome (AIDS), a state of vulnerability of the body where different opportunistic infections will ultimately be fatal. About 30 years after the discovery of the virus, even if no vaccine is available to control the pandemia, situation has changed for the best. With the arrival of highly active anti-retroviral therapy (HAART) in the late 90's, a reduction in HIV/AIDS mortality rate and growing number of persons living with the infection were observed. The overall objective of this thesis was to address three problematic situations, despite recognised HAART efficacy, especially low-level viremia (LLV) and its relationship with virologic failure, and the impacts of certain antiretrovirals (ARV) on kidney and hepatic functions. The specific objectives were: 1) to study the risk of virologic failure in long-term perspective in undetectable patients under HAART in comparison to patients with persistent LLV; 2) to evaluate the long-term loss of kidney function related to tenofovir (TDF) exposure 3) to evaluate long-term hyperbilirubinemia related to atazanavir (ATV) exposure and other possible determinants. In order to address the three specific objectives, a cohort of patients 2416 living with HIV/AIDS followed in Montreal since July 1977 was used. For the first objective, analyses and results shown an increased risk of virological failure defined as >1000 copies/mL of HIV RNA, for all categories of persistent LLV as soon as 6 months of persistent duration. Persistent LLV of 50-199 copies/mL for 6 months doubled the risk of virologic failure (Hazard ratio (HR)=2,22, Confidence interval (CI) 95%: 1,60-3,09). The results shed new light for the management of patients with LLV, especially for LLV of 50-199 copies/mL, for which no clinical recommendation is currently available due to a lack of data. For the second objective, an increased risk of loss of kidney function of 63% (HR=1.63; 95% CI:1.26–2.10) associated to TDF exposure in comparison to patients taking other ARV was observed. The cumulative eGFR loss directly attribuable to TDF also shown that this loss occured during the first years of exposure. This loss was mild in a long-term perspective. For the third objective, it has been shown that the cumulative incidence of hyperbilirubinemia in ATV users was very high and that regression was possible if ATV exposure was ended. Long-term hyperbilirubinemia related to ATV use was not associated with adverse health outcome. Overall, this thesis allowed a better understanding of these three problematics currently debated in scientific literature and shed new lights on management of HIV positive patients under therapy.

The gastrointestinal tract (GIT) regulates nutrient uptake, secretes hormones and has a crucial gut flora and enteric nervous system. Of relevance for these functions are the G protein-coupled receptors (GPCRs) and the solute carriers (SLCs). The Adhesion GPCR subfamily is known to mediate neural development and immune system functioning, whereas SLCs transport e.g. amino acids, fatty acids (FAs) and drugs over membranes. We aimed to comprehensively characterize Adhesion GPCR and SLC gene expression along the rat GIT. Using qPCR we measured expression of 78 SLCs as well as all 30 Adhesion GPCRs in a twelve-segment GIT model. 21 of the Adhesion GPCRs had a widespread (≥5 segments) or ubiquitous (≥11 segments) expression. Restricted expression patterns were characteristic for most group VII members. Of the SLCs, we found the majority (56 %) of these transcripts to be expressed in all GIT segments. SLCs were predominantly found in the absorption-responsible gut regions. Both Adhesion GPCRs and SLCs were widely expressed in the rat GIT, suggesting important roles. The distribution of Adhesion GPCRs defines them as a potential pharmacological target. FAs constitute an important energy source and have been implicated in the worldwide obesity increase. FAs and their ratios – indices for activities of e.g. the desaturase enzymes SCD-1 (SCD-16, 16:1n-7/16:0), D6D (18:3n-6/18:2n-6) and D5D (20:4n-6/20:3n-6) – have been associated with e.g. overall mortality and BMI. We examined whether differences in FAs and their indices in five lipid fractions contributed to obesity susceptibility in rats fed a high fat diet (HFD), and the associations of desaturase indices between lipid fractions in animals on different diets. We found that on a HFD, obesity-prone (OP) rats had a higher SCD-16 index and a lower linoleic acid (LA) proportions in subcutaneous adipose tissue (SAT) than obesity-resistant rats. Desaturase indices were significantly correlated between many of the lipid fractions. The higher SCD-16 may indicate higher SCD-1 activity in SAT in OP rats, and combined with lower LA proportions may provide novel insights into HFD-induced obesity. The associations between desaturase indices show that plasma measurements can serve as proxies for some lipid fractions, but the correlations seem to be affected by diet and weight gain.