Automated formulation of optimisation models for steel beam structures

Over 70% of the total costs of an end product are consequences of decisions that are made during the design process. A search for optimal cross-sections will often have only a marginal effect on the amount of material used if the geometry of a structure is fixed and if the cross-sectional characteristics of its elements are property designed by conventional methods. In recent years, optimalgeometry has become a central area of research in the automated design of structures. It is generally accepted that no single optimisation algorithm is suitable for all engineering design problems. An appropriate algorithm, therefore, mustbe selected individually for each optimisation situation. Modelling is the mosttime consuming phase in the optimisation of steel and metal structures. In thisresearch, the goal was to develop a method and computer program, which reduces the modelling and optimisation time for structural design. The program needed anoptimisation algorithm that is suitable for various engineering design problems. Because Finite Element modelling is commonly used in the design of steel and metal structures, the interaction between a finite element tool and optimisation tool needed a practical solution. The developed method and computer programs were tested with standard optimisation tests and practical design optimisation cases. Three generations of computer programs are developed. The programs combine anoptimisation problem modelling tool and FE-modelling program using three alternate methdos. The modelling and optimisation was demonstrated in the design of a new boom construction and steel structures of flat and ridge roofs. This thesis demonstrates that the most time consuming modelling time is significantly reduced. Modelling errors are reduced and the results are more reliable. A new selection rule for the evolution algorithm, which eliminates the need for constraint weight factors is tested with optimisation cases of the steel structures that include hundreds of constraints. It is seen that the tested algorithm can be used nearly as a black box without parameter settings and penalty factors of the constraints.

Welding time models for cost calculations in the early stages of the design process

It is generally accepted that between 70 and 80% of manufacturing costs can be attributed to design. Nevertheless, it is difficult for the designer to estimate manufacturing costs accurately, especially when alternative constructions are compared at the conceptual design phase, because of the lack of cost information and appropriate tools. In general, previous reports concerning optimisation of a welded structure have used the mass of the product as the basis for the cost comparison. However, it can easily be shown using a simple example that the use of product mass as the sole manufacturing cost estimator is unsatisfactory. This study describes a method of formulating welding time models for cost calculation, and presents the results of the models for particular sections, based on typical costs in Finland. This was achieved by collecting information concerning welded products from different companies. The data included 71 different welded assemblies taken from the mechanical engineering and construction industries. The welded assemblies contained in total 1 589 welded parts, 4 257 separate welds, and a total welded length of 3 188 metres. The data were modelled for statistical calculations, and models of welding time were derived by using linear regression analysis. Themodels were tested by using appropriate statistical methods, and were found to be accurate. General welding time models have been developed, valid for welding in Finland, as well as specific, more accurate models for particular companies. The models are presented in such a form that they can be used easily by a designer, enabling the cost calculation to be automated.

Ion-exchange resins as stationary phase in reactive chromatography

Dynamic behavior of bothisothermal and non-isothermal single-column chromatographic reactors with an ion-exchange resin as the stationary phase was investigated. The reactor performance was interpreted by using results obtained when studying the effect of the resin properties on the equilibrium and kinetic phenomena occurring simultaneously in the reactor. Mathematical models were derived for each phenomenon and combined to simulate the chromatographic reactor. The phenomena studied includes phase equilibria in multicomponent liquid mixture¿ion-exchange resin systems, chemicalequilibrium in the presence of a resin catalyst, diffusion of liquids in gel-type and macroporous resins, and chemical reaction kinetics. Above all, attention was paid to the swelling behavior of the resins and how it affects the kinetic phenomena. Several poly(styrene-co-divinylbenzene) resins with different cross-link densities and internal porosities were used. Esterification of acetic acid with ethanol to produce ethyl acetate and water was used as a model reaction system. Choosing an ion-exchange resin with a low cross-link density is beneficial inthe case of the present reaction system: the amount of ethyl acetate as well the ethyl acetate to water mole ratio in the effluent stream increase with decreasing cross-link density. The enhanced performance of the reactor is mainly attributed to increasing reaction rate, which in turn originates from the phase equilibrium behavior of the system. Also mass transfer considerations favor the use ofresins with low cross-link density. The diffusion coefficients of liquids in the gel-type ion-exchange resins were found to fall rapidly when the extent of swelling became low. Glass transition of the polymer was not found to significantlyretard the diffusion in sulfonated PS¿DVB ion-exchange resins. It was also shown that non-isothermal operation of a chromatographic reactor could be used to significantly enhance the reactor performance. In the case of the exothermic modelreaction system and a near-adiabatic column, a positive thermal wave (higher temperature than in the initial state) was found to travel together with the reactive front. This further increased the conversion of the reactants. Diffusion-induced volume changes of the ion-exchange resins were studied in a flow-through cell. It was shown that describing the swelling and shrinking kinetics of the particles calls for a mass transfer model that explicitly includes the limited expansibility of the polymer network. A good description of the process was obtained by combining the generalized Maxwell-Stefan approach and an activity model that was derived from the thermodynamics of polymer solutions and gels. The swelling pressure in the resin phase was evaluated by using a non-Gaussian expression forthe polymer chain length distribution. Dimensional changes of the resin particles necessitate the use of non-standard mathematical tools for dynamic simulations. A transformed coordinate system, where the mass of the polymer was used as a spatial variable, was applied when simulating the chromatographic reactor columns as well as the swelling and shrinking kinetics of the resin particles. Shrinking of the particles in a column leads to formation of dead volume on top of the resin bed. In ordinary Eulerian coordinates, this results in a moving discontinuity that in turn causes numerical difficulties in the solution of the PDE system. The motion of the discontinuity was eliminated by spanning two calculation grids in the column that overlapped at the top of the resin bed. The reactive and non-reactive phase equilibrium data were correlated with a model derived from thethermodynamics of polymer solution and gels. The thermodynamic approach used inthis work is best suited at high degrees of swelling because the polymer matrixmay be in the glassy state when the extent of swelling is low.

A priori parameterisation of the CERES soil-crop models and tests against several European data sets

Mechanistic soil-crop models have become indispensable tools to investigate the effect of management practices on the productivity or environmental impacts of arable crops. Ideally these models may claim to be universally applicable because they simulate the major processes governing the fate of inputs such as fertiliser nitrogen or pesticides. However, because they deal with complex systems and uncertain phenomena, site-specific calibration is usually a prerequisite to ensure their predictions are realistic. This statement implies that some experimental knowledge on the system to be simulated should be available prior to any modelling attempt, and raises a tremendous limitation to practical applications of models. Because the demand for more general simulation results is high, modellers have nevertheless taken the bold step of extrapolating a model tested within a limited sample of real conditions to a much larger domain. While methodological questions are often disregarded in this extrapolation process, they are specifically addressed in this paper, and in particular the issue of models a priori parameterisation. We thus implemented and tested a standard procedure to parameterize the soil components of a modified version of the CERES models. The procedure converts routinely-available soil properties into functional characteristics by means of pedo-transfer functions. The resulting predictions of soil water and nitrogen dynamics, as well as crop biomass, nitrogen content and leaf area index were compared to observations from trials conducted in five locations across Europe (southern Italy, northern Spain, northern France and northern Germany). In three cases, the model’s performance was judged acceptable when compared to experimental errors on the measurements, based on a test of the model’s root mean squared error (RMSE). Significant deviations between observations and model outputs were however noted in all sites, and could be ascribed to various model routines. In decreasing importance, these were: water balance, the turnover of soil organic matter, and crop N uptake. A better match to field observations could therefore be achieved by visually adjusting related parameters, such as field-capacity water content or the size of soil microbial biomass. As a result, model predictions fell within the measurement errors in all sites for most variables, and the model’s RMSE was within the range of published values for similar tests. We conclude that the proposed a priori method yields acceptable simulations with only a 50% probability, a figure which may be greatly increased through a posteriori calibration. Modellers should thus exercise caution when extrapolating their models to a large sample of pedo-climatic conditions for which they have only limited information.

Supergravity models of (3+1)-dimensional QCD

The most general black M5-brane solution of eleven-dimensional supergravity (with a flat R4 spacetime in the brane and a regular horizon) is characterized by charge, mass and two angular momenta. We use this metric to construct general dual models of large-N QCD (at strong coupling) that depend on two free parameters. The mass spectrum of scalar particles is determined analytically (in the WKB approximation) and numerically in the whole two-dimensional parameter space. We compare the mass spectrum with analogous results from lattice calculations, and find that the supergravity predictions are close to the lattice results everywhere on the two dimensional parameter space except along a special line. We also examine the mass spectrum of the supergravity Kaluza-Klein (KK) modes and find that the KK modes along the compact D-brane coordinate decouple from the spectrum for large angular momenta. There are however KK modes charged under a U(1)×U(1) global symmetry which do not decouple anywhere on the parameter space. General formulas for the string tension and action are also given.

Soluble models in two-dimensional dilaton gravity

A one-parameter class of simple models of two-dimensional dilaton gravity, which can be exactly solved including back-reaction effects, is investigated at both classical and quantum levels. This family contains the RST model as a special case, and it continuously interpolates between models having a flat (Rindler) geometry and a constant curvature metric with a nontrivial dilaton field. The processes of formation of black hole singularities from collapsing matter and Hawking evaporation are considered in detail. Various physical aspects of these geometries are discussed, including the cosmological interpretation.

Comblike poly(a-alkyl g glutamate)s: computer simulation studies of an intermediate thermal phase.

Monte Carlo (MC) simulations have been used to study the structure of an intermediate thermal phase of poly(R-octadecyl ç,D-glutamate). This is a comblike poly(ç-peptide) able to adopt a biphasic structure that has been described as a layered arrangement of backbone helical rods immersed in a paraffinic pool of polymethylene side chains. Simulations were performed at two different temperatures (348 and 363 K), both of them above the melting point of the paraffinic phase, using the configurational bias MC algorithm. Results indicate that layers are constituted by a side-by-side packing of 17/5 helices. The organization of the interlayer paraffinic region is described in atomistic terms by examining the torsional angles and the end-to-end distances for the octadecyl side chains. Comparison with previously reported comblike poly(â-peptide)s revealed significant differences in the organization of the alkyl side chains.

Privacy-friendly Business Models for Location-Based Mobile Services

This paper presents a theoretical model to analyze the privacy issues around location based mobile business models. We report the results of an exploratory field experiment in Switzerland that assessed the factors driving user payoff in mobile business. We found that (1) the personal data disclosed has a negative effect on user payoff; (2) the amount of personalization available has a direct and positive effect, as well as a moderating effect on user payoff; (3) the amount of control over user's personal data has a direct and positive effect, as well as a moderating effect on user payoff. The results suggest that privacy protection could be the main value proposition in the B2C mobile market. From our theoretical model we derive a set of guidelines to design a privacy-friendly business model pattern for third-party services. We discuss four examples to show the mobile platform can play a key role in the implementation of these new business models.

Nuclear surface properties in relativistic effective field theory

We perform Hartree calculations of symmetric and asymmetric semi-infinite nuclear matter in the framework of relativistic models based on effective hadronic field theories as recently proposed in the literature. In addition to the conventional cubic and quartic scalar self-interactions, the extended models incorporate a quartic vector self-interaction, scalar-vector non-linearities and tensor couplings of the vector mesons. We investigate the implications of these terms on nuclear surface properties such as the surface energy coefficient, surface thickness, surface stiffness coefficient, neutron skin thickness and the spin-orbit force.

Mittausmenetelmien kehittaminen kuplakolonnille

Kuplakolonnireaktoreiden CFD-mallinnus on talla hetkella voimakkaasti kehittyva tutkimusalue. Kaksifaasivirtauksen luotettava simulointi ja mallintaminen on haastavaa kuplakolonnireaktorissa tapahtuvien ilmioiden monimutkaisuuden vuoksi. Reaktorin kayttaytymiseen vaikuttavat tekijat, kuten kolonnin hydrodynamiikka ja aineensiirto, tulee tuntea hyvin ennen mallien tekoa. Tassa tyossa on kokeellisesti tutkittu erilaisten mittausmenetelmien soveltuvuutta kuplakolonnin hydrodynamiikan tutkimiseen. Mittausmenetelmissa on keskitytty erityisesti CFD-mallien vaatimiin paikallisiin mittauksiin. Lisaksi tyossa on arvioitu mittausmenetelmien soveltuvuutta j a luotettavuutta CFD-mallien validointiin. Tyon kirjallisuusosassa on perehdytty kuplakolonnireaktorin hydrodynaamiseen kayttaytymiseen ja siihen vaikuttaviin tekijoihin. Naita ovat mm. reaktorityypit, kaasun dispergointi, virtaustyypit ja -alueet, kaasun tilavuusosuus, kaasukuplan koko ja kuplan nousunopeus. Mittauksia tehtiin kahdessa erikokoisessa kuplakolonnissa, joista pienemman halkaisija oli 0,078 m ja suuremman 0,182 m. Molempien kolonnien nestepinnan korkeus oli 4,62 m. Mittaukset tehtiin vesijohtovedella ja epaorgaanisella prosessiliuoksella. Hydrodynaamisista ominaisuuksista mitattiin kaasun tilavuusosuus, kaasukuplan koko seka kaasukuplan nousunopeus. Kaasun tilavuusosuusmittaukset tehtiin paaasiassa paine-eromittauksella ja joissakin tapauksissa pinnanmittausmenetelmalla. Kuplakoko- ja kuplan nousunopeusmittaukset tehtiin suumopeusvideokameralla ja laser Doppler-anemometrilla. Mittauksissa kaytettiin kahdeksaa erilaista kaasunjakolaitetta, joilla selvitettiin kaasunjakolaitteen ominaisuuksien vaikutusta kolonnin hydrodynamiikkaan. Tuloksista havaittiin, etta nestefaasin ominaisuuksilla oli suuri vaikutus kolonnin hydrodynaamiseen kayttaytymiseen. En kaasunjakolaitteilla vesijohtovedella mitatut hydrodynaamiset ominaisuudet eivat poikenneet paljoa toisistaan, kun taas prosessiliuoksella kaasunjakolaitteiden valille saatiin huomattavat erot. Mittausmenetelmista laser Doppler-anemometri ei kaytettavissa olleella optiikalla soveltunut kaasukuplien mittaamiseen. Kuplat olivat menetelmalle liian suuria. Suumopeusvideokamerallaja paine-eromittauksella paastiin hyviin tuloksiin.

Review of quantitative phase-digital holographic microscopy: promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders.

Quantitative phase microscopy (QPM) has recently emerged as a new powerful quantitative imaging technique well suited to noninvasively explore a transparent specimen with a nanometric axial sensitivity. In this review, we expose the recent developments of quantitative phase-digital holographic microscopy (QP-DHM). Quantitative phase-digital holographic microscopy (QP-DHM) represents an important and efficient quantitative phase method to explore cell structure and dynamics. In a second part, the most relevant QPM applications in the field of cell biology are summarized. A particular emphasis is placed on the original biological information, which can be derived from the quantitative phase signal. In a third part, recent applications obtained, with QP-DHM in the field of cellular neuroscience, namely the possibility to optically resolve neuronal network activity and spine dynamics, are presented. Furthermore, potential applications of QPM related to psychiatry through the identification of new and original cell biomarkers that, when combined with a range of other biomarkers, could significantly contribute to the determination of high risk developmental trajectories for psychiatric disorders, are discussed.

Giant monopole energies from a constrained relativistic mean-field approach

Background:Average energies of nuclear collective modes may be efficiently and accurately computed using a nonrelativistic constrained approach without reliance on a random phase approximation (RPA). Purpose: To extend the constrained approach to the relativistic domain and to establish its impact on the calibration of energy density functionals. Methods: Relativistic RPA calculations of the giant monopole resonance (GMR) are compared against the predictions of the corresponding constrained approach using two accurately calibrated energy density functionals. Results: We find excellent agreement at the 2% level or better between the predictions of the relativistic RPA and the corresponding constrained approach for magic (or semimagic) nuclei ranging from 16 O to 208 Pb. Conclusions: An efficient and accurate method is proposed for incorporating nuclear collective excitations into the calibration of future energy density functionals.

Glassy magnetic phase driven by short range charge and magnetic ordering in nanocrystalline La1/3Sr2/3FeO3-δ: Magnetization, Mössbauer, and polarized neutron studies

The charge ordered La1/3Sr2/3FeO3−δ (LSFO) in bulk and nanocrystalline forms are investigated using ac and dc magnetization, M¨ossbauer, and polarized neutron studies. A complex scenario of short-range charge and magnetic ordering is realized from the polarized neutron studies in nanocrystalline specimen. This short-range ordering does not involve any change in spin state and modification in the charge disproportion between Fe3+ and Fe5+ compared to bulk counterpart as evident in the M¨ossbauer results. The refinement of magnetic diffraction peaks provides magnetic moments of Fe3+ and Fe5+ are about 3.15 μB and 1.57 μB for bulk, and 2.7 μB and 0.53 μB for nanocrystalline specimen, respectively. The destabilization of charge ordering leads to magnetic phase separation, giving rise to the robust exchange bias (EB) effect. Strikingly, EB field at 5 K attains a value as high as 4.4 kOe for average size ∼70 nm, which is zero for the bulk counterpart. A strong frequency dependence of ac susceptibility reveals cluster-glass-like transition around ∼65 K, below which EB appears. Overall results propose that finite-size effect directs the complex glassy magnetic behavior driven by unconventional short-range charge and magnetic ordering, and magnetic phase separation appears in nanocrystalline LSFO.

Novel therapeutic strategies targeting regulatory T cells and downstream TCR signaling in transplantation

Avec plus de 100000 transplantations d'organes solides (TOS) par année dans le monde, la transplantation d'organes reste actuellement l'un des meilleurs traitements disponibles pour de nombreuses maladies en phase terminale. Bien que les médicaments immunosuppresseurs couramment utilisés soient efficaces dans le contrôle de la réponse immune engendrant le rejet aigu d'une greffe, la survie du greffon à long terme ainsi que la présence d'effets secondaires indésirables restent un enjeu considérable en clinique. C'est pourquoi il est nécessaire de trouver de nouvelles approches thérapeutiques innovantes permettant de contrôler la réponse immunitaire et ainsi d'améliorer les résultats à long terme. L'utilisation des lymphocytes T régulateurs (Treg), suppresseurs naturels de la réponse inflammatoire, a fait l'objet de nombreuses études ces dix dernières années, et pourrait être considérée comme un moyen intéressant d'améliorer la tolérance immunologique de la greffe. Cependant, l'un des obstacles de l'utilisation des Treg comme agent thérapeutique est leur nombre insuffisant non seulement en conditions normales, mais en particulier lors d'une forte réponse immune avec expansion de cellules immunitaires alloréactives. En raison des limitations techniques connues pour l'induction des Treg ex-vivo ou in vitro, nous avons dédié la première partie du travail de thèse à la détermination de l'efficacité de l'induction des Treg in vivo grâce à l'utilisation d'un complexe protéique IL-2/JES6-1 (IL2c). Nous avons montré que l'expansion des Treg par IL2c permettait d'augmenter la survie du greffon sur un modèle murin de transplantation de peau avec mismatch entre le donneur et le receveur pour le complexe majeur d'histocompatibilité (CMH). De plus, nous avons vu qu'en combinant IL2c à une inhibition à court terme de la voie de co-stimulation CD40L-CD40 (anti-CD154/MRl, administré au moment de la transplantation) pour empêcher l'activation des lymphocytes T, il est possible d'induire une tolérance robuste à long terme. Finalement, nos résultats soulignent l'importance de cibler une voie de co-stimulation bien particulière. En effet, l'utilisation d'IL2c combinée au blocage de la co-stimulation CD28-B7.1/2 (CTLA-4 Ig) n'induit qu'une faible prolongation de la survie de la greffe et n'induit pas de tolérance. L'application chez l'humain des traitements induisant la tolérance dans des modèles expérimentaux murins ou de primates n'a malheureusement pas montré de résultats probants en recherche clinique ; une des principales raisons étant la présence de lymphocytes B et T mémoires provenant du systeme d immunité acquise. C est pourquoi nous avons testé si la combinaison d'IL2c et MR1 améliorait la survie de la greffe dans des souris pré¬sensibilisées. Nous avons trouvé qu'en présence de lymphocytes B et T mémoires alloréactifs, l'utilisation d'IL2c et MR1 permettait une amélioration de la survie de la greffe de peau des souris immunocompétentes mais comparé aux souris receveuses naïves, aucune tolérance n'a pu être induite. Toutefois, l'ajout d'un traitement anti-LFA-1 (permettant de bloquer la circulation des lymphocytes T activées) a permis d'améliorer de manière significative la survie de la greffe. Cependant, le rejet chronique, dû à la présence de lymphocytes B activés/mémoires et la production d'anticorps donneur-spécifiques, n'a pas pu être évité. Cibler l'activation des lymphocytes T est la stratégie immunothérapeutique prépondérente après une TOS. C'est pourquoi dans la deuxième partie de cette thèse nous nous sommes intéressés au système de signalisation d'un récepteur des lymphocytes T qui dépend de la paracaspase Malti en tant que nouvelle stratégie immunosuppressive pour le contrôle des lymphocytes T alloréactifs. Nous avons montré que bien que l'inhibition de la signalisation du lymphocyte T en aval de Malti induise une tolérance envers un greffon de peau avec incompatibilités antigéniques mineures, cela ne permet cependant qu'une régulation partielle de l'alloréponse contre des antigènes du CMH. Nous nous sommes aussi intéressés spécifiquement à l'activité protéolytique de Malti. L'inhibition constitutive de l'activité protéolytique de Malti chez les souris Malti-ki s'est révélée délétère pour l'induction de la tolérance car elle diminue la fonction des Treg et augmente l'alloréactivité des cellules Thl. Cependant, lors de l'utilisation d'un inhibiteur peptidique de l'activité protéase de Malti in vitro, il a été possible d'observer une atténuation de l'alloéactivité des lymphocytes T ainsi qu'un maintien de la population des Treg existants. Ces résultats nous laissent penser que des études plus poussées sur le rôle de la signalisation médiée par Malti seraient à envisager dans le domaine de la transplantation. En résumé, les résultats obtenus durant cette thèse nous ont permis d'élucider certains mécanismes immunologiques propres à de nouvelles stratégies thérapeutiques potentielles dont le but est d'induire une tolérance lors de TOS. De plus, ces résultats nous ont permis de souligner l'importance d'utiliser des modèles davantage physiologiques contenant, notamment en tenant compte des lymphocytes B et T mémoires alloréactifs. -- Organ transplantation remains the best available treatment for many forms of end-stage organ diseases, with over 100,000 solid organ transplantations (SOT) occurring worldwide eveiy year. Although the available immunosuppressive (IS) drugs are efficient in controlling acute immune activation and graft rejection, the off-target side effects as well as long-term graft and patient survival remain a challenge in the clinic. Hence, innovative therapeutic approaches are needed to improve long-term outcome across immunological barriers. Based on extensive experimental data obtained over the last decade, it is tempting to consider immunotherapy using Treg; the natural suppressors of overt inflammatory responses, in promoting transplantation tolerance. The first hurdle for the therapeutic use of Treg is their insufficient numbers in non- manipulated individuals, in particular when facing strong immune activation and expanding alloreactive effector cells. Because of the limitations associated with current protocols aiming at ex-vivo expansion or in vitro induction of Treg, the aim of the first part of this thesis was to determine the efficacy of direct in vivo expansion of Treg using the IL-2/JES6- 1 immune complex (IL2c). We found that whilst IL2c mediated Treg expansion alone allowed the prolonged graft survival of fìlli MHC-mismatched skin grafts, its combination with short-term CD40L-CD40 co-stimulation blockade (anti-CD 154/MR1) to inhibit T cell activation administered at the time of transplantation was able to achieve long-term robust tolerance. This study also highlighted the importance of combining Treg based therapies with the appropriate co-stimulation blockade as a combination of IL2c and CD28-B7.1/2 co- stimulation blockade (CTLA-4 Ig) only resulted in slight prolongation of graft survival but not tolerance. The translation of tolerance induction therapies modelled in rodents into non-human primates or into clinical trials has seldom been successful. One main reason being the presence of pre-existing memory T- and B-cells due to acquired immunity in humans versus laboratory animals. Hence, we tested whether IL2c+MRl could promote graft survival in pre-sensitized mice. We found that in the presence of alloreactive memory T- and B-cells, IL2c+MRl combination therapy could prolong MHC-mismatched skin graft survival in immunocompetent mice but tolerance was lost compared to the naïve recipients. The addition of anti-LF A-1 treatment, which prevents the trafficking of memory T cells worked synergistically to significantly further enhance graft survival. However, late rejection mediated by activated/memory B cells and persistent donor-specific alloantibodies still occurred. Immunotherapeutic strategies targeting the activation of T cells are the cornerstone in the current immunosuppressive management after SOT. Therefore, in the next part of this thesis we investigated the paracaspase Malti-dependent T-cell receptor signalling as a novel immunosuppressive strategy to control alloreactive T cells in transplantation. We observed that although the inhibition of Malti downstream T signalling lead to tolerance of a minor H- mismatch skin grafts, it was however not sufficient to regulate alloresponses against MHC mismatches and only prolonged graft survival. Furthermore, we investigated the potential of more selectively targeting the protease activity of Malti. Constitutive inhibition of Malti protease activity in Malti-ki mice was detrimental to tolerance induction as it diminished Treg function and increased Thl alloreactivity. However, when using a small peptide inhibitor of Malti proteolytic activity in vitro, we observed an attenuation of alloreactive T cells and sparing of the pre-existing Treg pool. This indicates that further investigation of the role of Malti signalling in the field of transplantation is required. Collectively, the findings of this thesis provide immunological mechanisms underlying novel therapeutic strategies for the promotion of tolerance in SOT. Moreover, we highlight the importance of testing tolerance induction therapies in more physiological models with pre-existing alloreactive memory T and B cells.