L’objectif de la présente étude est de soutenir l’utilisation d’une approche écologique pour l’analyse des données d’une évaluation standardisée. Nous implémentons cette approche en utilisant une Analyse de Classes Latentes (ACL) avec covariables sur les données du test de lecture du Programme d’Analyse des Systèmes Éducatifs de la CONFEMEN (PASEC) des élèves francophones de 6e année du primaire au Cameroun (N=617) et montrons comment une telle approche peut susciter un regard nouveau sur les résultats de cette évaluation. En effet, les programmes d’Évaluations standardisées à Larges Échelles (ELE) visent à évaluer les apprentissages et les compétences des individus et fournissent des données d’aide à la décision dans beaucoup de pays (Hogan, 2017 ; Loye, 2011 ; Wagemaker, 2014). Dans le cadre de ces ELE, les performances sont estimées uniquement sur la base des réponses que fournissent les candidats et donc de leurs capacités cognitives (Zumbo et al, 2015). Pourtant, de plus en plus de recherches suggèrent de considérer la performance à un test comme un phénomène qui se réalise dans un réseau interconnecté de connaissances, de caractéristiques individuelles et de contextes particuliers (McNamara, 2007 ; McNamara et Roever, 2006 ; Mislevy, 2018 ; Zumbo et al, 2015). L’approche écologique, qui s’inscrit dans cette perspective, s’intéresse aux hypothèses contextuelles, sociales et culturelles lors de l’estimation des performances à un test (McNamara, 2007 ; McNamara et Roever, 2006 ; Zumbo et al, 2015). Nos résultats mettent en évidence des écologies de performances en lecture qui varient en fonction des régions. Dans chacune de ces écologies, les profils de performances en lecture qui s’y dégagent dépendent des caractéristiques des élèves et des caractéristiques des milieux scolaires et extrascolaires dans lesquels ils évoluent. Nous mettons ainsi l’emphase sur le caractère situé des performances à un test permettant une lecture plus équitable des performances des différents candidats. Ce faisant, nous formulons des recommandations qui tiennent compte des réalités contextuelles des candidats contrairement aux recommandations uniformes souvent formulées à la suite des résultats aux ELE. / The purpose of this study is to support the use of an ecological approach for the analysis of standardized data assessment. This study is implimented by Latent Classes Analysis (ACL) with covariables on the test reading data of the « Programme d’Analyse des Systèmes Éducatifs de la CONFEMEN » (PASEC) french-speaking students of 6th grade primary school in Cameroon (N = 617) and shows how this approach can change the way we interpret the results of this study. Indeed, Standardized Large Scale Assessments (ELE) programs aim to appraise the learning and skills of individuals and provide decision support data in many countries (Hogan, 2017 ; Loye, 2011; Wagemaker, 2014). In the context of these ELEs, performance is estimated solely based on the responses provided by the candidates and therefore of their cognitive abilities (Zumbo et al, 2015). Yet a growing body of research suggests viewing test performance as a phenomenon that occurs in an interconnected network of knowledge, individual characteristics, and particular contexts (McNamara, 2007 ; McNamara and Roever, 2006 ; Mislevy, 2018 ; Zumbo et al. , 2015). The ecological approach, which is part of this perspective, is interested in the contextual, social and cultural hypotheses when estimating the performance of a test (McNamara and Roever, 2006 ; McNamara, 2007 ; Zumbo et al, 2015). Our results highlight reading performance ecologies that vary by region. In each of these ecologies, the reading performance profiles that emerge depend on the characteristics of the students and the characteristics of the school and out-of-school environments in which they operate. We therefore put the emphasis on the situated character of the performances on a test allowing a fairer reading of the performances of the different candidates. In doing so, we formulate recommendations that take into account the contextual realities of applicants, unlike the standard recommendations often made following ELE results.

In this dissertation, we study two important problems related to additive manufacturing (AM). In the first part, we investigate the economic feasibility of using AM to fabricate biomedical implants at the sites of hospitals AM versus traditional manufacturing (TM). We propose a cost model to quantify the supply-chain level costs associated with the production of biomedical implants using AM technology, and formulate the problem as a two-stage stochastic programming model, which determines the number of AM facilities to be established and volume of product flow between manufacturing facilities and hospitals at a minimum cost. We use the sample average approximation (SAA) approach to obtain solutions to the problem for a real-world case study of hospitals in the state of Mississippi. We find that the ratio between the unit production costs of AM and TM (ATR), demand and product lead time are key cost parameters that determine the economic feasibility of AM. In the second part, we investigate the AM facility deployment approaches which affect both the supply chain network cost and the extent of benefits derived from AM. We formulate the supply chain network cost as a continuous approximation model and use optimization algorithms to determine how centralized or distributed the AM facilities should be and how much raw materials these facilities should order so that the total network cost is minimized. We apply the cost model to a real-world case study of hospitals in 12 states of southeastern USA. We find that the demand for biomedical implants in the region, fixed investment cost of AM machines, personnel cost of operating the machines and transportation cost are the major factors that determine the optimal AM facility deployment configuration. In the last part, we propose an enhanced sample average approximation (eSAA) technique that improves the basic SAA method. The eSAA technique uses clustering and statistical techniques to overcome the sample size issue inherent in basic SAA. Our results from extensive numerical experiments indicate that the eSAA can perform up to 699% faster than the basic SAA, thereby making it a competitive solution approach of choice in large scale stochastic optimization problems.

<p>The broad implementation of three-dimensional full-core modeling, with pin-resolved detail, for computational simulation and analysis of nuclear reactors highlights the importance of accuracy and efficiency in simulation codes for accurate and precise analysis. The primary objective of this dissertation is to develop a high-fidelity code capable of solving time-dependent neutron transport problems with 3D whole-core pin-resolved detail in nuclear reactor cores. Additionally, the dissertation explores the optimization of the code's parallelism to enhance its computational efficiency. To reduce the computational intensity associated with the direct 3D calculation of the neutron transport equation, a high-fidelity neutron transport code called PANDAS-MOC is developed using the 2D/1D approach. The 2D radial solution is obtained using the 2D Method of Characteristics (MOC), the axial 1D solution is determined through the Nodal Expansion Method (NEM), and then two solutions are coupled using transverse leakages to find the 3D solution. The convergence of the iterative scheme is accelerated using the multi-level coarse finite different mesh (ML-CMFD) technique. The code's validation and verification are carried out using the C5G7-TD benchmark exercises.</p> <p><br></p> <p>The significant and innovative aspect of this work involves parallelizing and optimizing the PANDAS-MOC code. Three parallel models are developed and evaluated based on the distributed memory and shared memory architecture: MPI parallel model (PMPI), Segment OpenMP threading hybrid model (SGP), and Whole-code OpenMP threading hybrid model (WCP). When computing the steady state of the C5G7 3D core with the same resources, the obtained speedup relationship between the three models is PMPI \(>\) WCP \(>\) SGP, whereas the WCP model only consumed 60\% of the memory of the PMPI model. Furthermore, the hybrid reduction in the ML-CMFD solver and the parallelism design of the MOC sweep are significant issues that decreased the speedup of WCP. Therefore, this study also addresses further optimizations of these two modules.</p> <p><br></p> <p>Concerning the MOC parallelism, two improvements are discussed: No-atomic schedule and Additional Axial Decomposition (AAD) parallelism. The No-atomic schedule evenly distributed the workload among threads and removes the \textit{omp atomic} clause from the code by predefining the MOC calculation sequence for each launched OpenMP thread while ensuring a thread-safe parallel environment. It can significantly reduce the calculation time and improve parallel efficiency. Furthermore, AAD divides the axial layers and OpenMP threads into multiple groups and restricts each thread to work on the layers designated to the same group. </p> <p>Meanwhile, Flag-Save-Update reduction is designed to increase the computational efficiency of the hybrid MPI/OpenMP reduction operations in the ML-CMFD module. It is accomplished by using the global arrays and status flags and establishing a tree configuration of all threads, and it includes no implicit and explicit barriers. In the case of the C5G7 3D core, the parallel efficiency of the MOC solver is about 0.872 when using 32 threads (=\#MPI \(\times\)\#OpenMP), and the Flag-Save-Update reduction yielded better speedup than the traditional hybrid MPI/OpenMP reduction, and its superiority is more obvious as more OpenMP threads are utilized. As a result, the WCP model outperforms the PMPI model for the overall steady-state calculation.</p> <p><br></p> <p>This research also investigates parallelizable preconditioners to accelerate the convergence of the generalized minimal residual method (GMRES) in the CMFD solver. Preconditioners such as Incomplete LU factorization (ILU), Symmetric Successive Over-relaxation (SOR), and Reduced Symmetric Successive Over-Relaxation (RSOR), are implemented in PANDAS-MOC. Except for RSOR, others are unsuitable for hybrid MPI/OpenMP parallel machines due to their inherent sequential nature and dependency on computation order. Their counterparts using the Red-Black ordering algorithm, namely RB-SOR, RB-RSOR, and RB-ILU, are formatted and examined on benchmark reactors such as TWIGL-2D, C5G7-2D, C5G7-3D, and their corresponding subplane models (TWIGL-2D(5S), C5G7-2D(5S), C5G7-3D(5S)), with relaxed convergence criteria (\(10^{-3}\)). Results show that all preconditioners significantly reduce the required number of iterations to converge the GMRES solutions, and RB-SOR is the best one for most reactors. In the case of C5G7-3D(5S), preconditioners exhibit similar sublinear speedup but demonstrate varying runtimes across all tests for both MG-GMRES and 1G-GMRES. However, the speedup results in 1G-GMRES are more than twice as high as those in MG-GMRES. RB-RSOR has an optimal efficiency of 0.6967 at (4,8), while RB-SOR and RB-ILU have optimal efficiencies of 0.6855 and 0.7275 at (32,1), respectively.</p>

Additiv tillverkning eller 3D-utskrift som det även kallas är en produktionsprocess som kan erbjuda snabba prototyper med spännande och komplexa geometriska former. Under de senaste åren har expansionen för additiv tillverkning verkligen tagit fart och tekniken, kombinerat med nya progressiva material, blir alltmer efterfrågat. Jag har i detta examensarbete, tillsammans med Akademiska Hus och Stora Enso, undersökt potentiella produktionsmetoder för additiv tillverkning av storskaliga produkter i biokomposit. Det här samarbetet startade i mars 2022 och produkten som jag framställas är en ljudstol som jag valt att kalla Bönan. Den första versionen vi arbetade med visade sig vara för svår att producera med den additiva tekniken. Det är här mitt examensarbete tagit vid. I arbetet har jag undersökt hur mycket avkall jag som designer behöver göra för att produkten ska kunna produceras mer än bara en gång samt vilka moment som är essentiella för att ta en produkt från vision till produktion. Under examensarbetet har jag även fördjupat mina kunskaper inom additiv tillverkning genom att själv skriva ut småskaliga prototyper för att få en större inblick i produktionsprocessen och vilka tekniska aspekter som är fundamentala för att nå ett önskvärt slutresultat. Jag har även parallellt med detta haft kontinuerlig kontakt med Stora Enso och Akademiska hus och överlagt kring kommande steg i processen. Förhoppningsvis har mina fördjupade kunskaper inom additiv tillverkning och en mer holistiskt fokuserad utgångspunkt kunnat påverka verkshöjden på slutprodukten.

There has been a surge in demand for arable land as a resource for agricultural production for food and energy purposes. This surge can be attributed to increases in global food prices, climate change, population pressure, and escalating energy prices. The search for land has given rise to the practice of large-scale land acquisitions (LSLA). Due to misconceptions and old colonial views of land in Africa, the continent has become the most targeted region for these land acquisitions. The establishment of these projects in Africa is justified in the name of development. Paradoxically, LSLA has left local communities, especially women, in a more disadvantageous position than before. This qualitative study explores and relates LSLA to the right to food and participation. The thesis also critically engages with SDG – 2 to examine if large-scale projects comply with the goal’s purpose. This thesis aims to investigate the phenomenon of LSLA and how they impact women’s right to food and participation. The author has used qualitative content analysis as a method and relied on peer-reviewed studies on women and land-grabbing in three different countries. Compared to the previous research, the thesis results showed that the impacts of LSLA are gendered and have had severe consequences on women and their access and right to food. The support for business interests that are permeated in SDG – 2 has, based on the cases examined, also exacerbated rather than alleviated hunger which does not comply with the purpose of the goal.

Skewed bridges have exhibited poorer performance during lateral earthquake loading when compared to non-skewed bridges (Apirakvorapinit et al. 2012; Elnashai et al. 2010). Results from small-scale laboratory tests by Rollins and Jessee (2012) and numerical modeling by Shamsabadi et al. (2006) suggest that skewed bridge abutments may provide only 35% of the non-skewed peak passive resistance when a bridge is skewed 45°. This reduction in peak passive force is of particular importance as 40% of the 600,000 bridges in the United States are skewed (Nichols 2012). Passive force-deflection results based on large-scale testing for this study largely confirm the significant reduction in peak passive resistance for abutments with longitudinal reinforced concrete wingwalls. Large-scale lateral load tests were performed on a non-skewed and 45° skewed abutment with densely compacted sand backfill. The 45° skewed abutment experienced a 54% reduction in peak passive resistance compared to the non-skewed abutment. The peak passive force for the 45° skewed abutment was estimated to occur at 5.0% of the backwall height compared to 2.2% of the backwall height for the non-skewed abutment. The 45° skewed abutment displayed evidence of rotation, primarily pushing the obtuse side of the abutment into the backfill, significantly more than the non-skewed abutment as it was loaded into the backfill. The structural and geotechnical response of the wingwalls was also monitored during large-scale testing. The wingwall on the obtuse side of the 45° skewed abutment experienced nearly 6 times the amount of horizontal soil pressure and 7 times the amount of bending moment compared to the non-skewed abutment. Pressure and bending moment distributions are provided along the height of the wingwall and indicate that the maximum moment occurs approximately 20 in (50.8 cm) below the top of the wingwall. A comparison of passive force per unit width suggests that MSE wall abutments provide 60% more passive resistance per unit width compared to reinforced concrete wingwall and unconfined abutment geometries at zero skew. These findings suggest that changes should be made to current codes and practices to properly account for skew angle in bridge design.

<p>We study the effect of minute perturbations by using blowing jets at upstream and bio-inspired micro denticles on turbulence large-scale motions which are observed to be crucial in controlling heat transfer, noise and drag reduction. This work is divided into two phases. In first phase, we studied the effect of blowing perturbations at upstream on large-scale motions and associated co?herent vortical structures which are crucial in enhancing heat transfer by promoting mixing. The second phase is focused on impact of flow dynamics in preventing the biofouling using micro bioinspired structures and the importance of flow regime in designing the antifouling coating us?ing bioinspired structures is demonstrated, and subsequently, separation bubble dynamics and its characterization is carried out for a transonic channel imposed with pressure gradient to further expand our thesis outcomes to utilize micro bioinspired structures in aerospace applications, noise reduction, and to delay separation.</p> <p><br></p> <p>Extensive studies were focused on the importance of large-scale motions (LSM) and their con?tribution to TKE and turbulence mixing. Although there are studies focusing on the λ2 coherent vortical structures and large-scale motions separately, there are no studies addressing the control?ling using upstream perturbations on the large-scale motions and their associated λ2 vortices. In the first phase of our studies, we used the DNS data of channel flow for Reτ = 394 generated using in-house code. In these simulations, we created blowing perturbations using spanwise jets of low blowing ratio, 0.2, placed at upstream. The spatial large-scale motions are extracted using a a novel 3D adaptive Gaussian filtering technique developed based on Lee and Sung [1] for turbulent pipe flows. POD is used to extract the energetic large-scale motions and coherent vortical structures are extracted using λ2-criterion for its efficiency in educing coherent structures in cross flow jets. The results show that the upstream perturbations enhance streamwise heat flux via energetic LSM and also create a secondary peak of scalar production in the log-layer showing that the perturbations alter LSMs to enhance the heat transfer. Filtered large-scale field from Gaussian filtering technique have an integral length scale greater than 2h (where h is channel half-height) are used to obtain λ2 vortices. The resulted λ2 vortices are of ring-type and have higher signature of temperature than their counterpart. The pre-multiplied spectra shows that the upstream perturbations can excite the large-scale wave-numbers which are in the same order as the jet diameter and spacing between them. Simulations show the presence of secondary peak in the log-layer and increased turbulence production which are eminent of large-scales. Furthermore, our results suggest that jet spacing and diameter are crucial in exciting large-scale field to control turbulent flows.</p> <p><br></p> <p>Evans, Hamed, Gorumlu, et al. [2] modeled the denticles present on Mako shark skin into a diverging micro-pillars. They conducted experimental studies in a water tunnel using these on the back of airfoil exposed to an adverse pressure gradient flow. They observed that presence of these pillars reduced the re-circulation bubble (form drag) by 50%. They proposed a blowing and suction type mechanism by which the micro pillars interact with the boundary layer. However, the details of underlying interfacial mechanism is not completely understood. The unique impact of flow conditions on anti-biofouling and the corresponding mechanisms for the first time is illustrated. We employed commercially available bioinspired structures as micro-diverging pillars making it feasible to apply in real life. We demonstrated the underlying mechanism by which bio?inspired structures are responsible for anti-biofouling. To study the pressure gradient effects on the separation under transonic conditions, we performed direct numerical simulations (DNS) in a non?equilibrium flow created by a sinsuoidal contraction and also, we quantified the separation length,</p> <p>detachment, and attachment points of separation bubble imposed with various pressure gradients and their variation in the transonic and subsonic regimes. We noticed that the resultant shear at the attachement led to the enhancement of coherent structures which are extended into the outer layer under transonic flow which is quite different than the subsonic flow.</p>

L'activité neuronale partagée entre les différentes régions cérébrales permet d'estimer les patrons d'activation fonctionnelle à l'échelle de réseaux distribués, même en l'absence de paradigme. Constamment rapportés dans la population saine, les réseaux fonctionnels au repos (RSNs) peuvent être utilisés comme objet d'étude pour comprendre la contribution du développement sensoriel atypique sur la communication globale inter-réseau. À ce jour, peu d'études ont exploré l'organisation cérébrale au repos dans le contexte de la surdité. Pourtant, de multiples évidences soutiennent l'importance des entrées sensorielles en début de vie dans la consolidation de l'architecture fonctionnelle du cerveau. L'étude présentée dans ce mémoire a été développée et conceptualisée pour rendre compte de la relation entre la privation sensorielle et l'activité cérébrale spontanée entre les RSNs. À cette fin, 17 personnes avec une surdité congénitale de degré sévère à profond et 18 personnes entendantes non signeurs ont été recrutées et ont effectué 10 minutes d'enregistrement par imagerie magnétique fonctionnelle (IRMf) à l'état de repos. Les estimations de connectivité fonctionnelle de 17 RSNs extraites par une méthode de parcellisation fonctionnelle du cerveau ont été comparées entre les groupes. Le couplage entre les réseaux d'attention dorsale (DAN) et d'attention ventrale (VAN) était significativement plus élevé chez les participants qui présentent une surdité. Ces deux systèmes sont impliqués dans les tâches attentionnelles descendantes (« top-down ») et ascendantes (« bottom-up »), respectivement. Les résultats démontrent une réorganisation du cerveau au sein des réseaux associatifs et proposent une preuve potentielle des substrats neuronaux qui sous-tendraient les performances attentionnelles supérieures des personnes avec une surdité. / Neural activity shared between different brain regions allows estimation of functional activation patterns at the scale of distributed networks, even in the absence of a paradigm. Consistently reported in the healthy population, resting-state functional networks (RSNs) can be studied to understand the contribution of atypical sensory development on global inter-network communication. To date, few studies have explored brain organization at rest in the context of deafness. Yet, numerous evidence supports the importance of early sensory input in the consolidation of the brain's functional architecture. The study presented in this thesis was developed and conceptualized to report on the relationship between sensory deprivation and spontaneous brain activity between RSNs. To this end, 17 individuals with severe to profound congenital hearing loss and 18 non-signer hearing individuals were recruited and performed 10 minutes of functional magnetic imaging (fMRI) recording at rest. Functional connectivity estimates of 17 RSNs extracted by a functional brain parcellation method were compared between groups. The coupling between dorsal attention (DAN) and ventral attention (VAN) networks was significantly higher in deaf participants. These two systems are involved in topdown and bottom-up attentional tasks, respectively. The results demonstrate brain plasticity within associative networks and offer potential evidence of neural substrates that may underlie superior attentional performances observed in individuals with deafness.

Passive force-deflection behavior for densely compacted backfills must be considered in bridge design to ensure adequate resistance to both seismic and thermally induced forces. Current codes and practices do not distinguish between skewed and non-skewed bridge abutment geometries; however, in recent years, numerical models and small-scale, plane-strain laboratory tests have suggested a significant reduction in passive force for skewed bridge abutments. Also, various case studies have suggested higher soil stresses might be experienced on the acute side of the skew angle. For these reasons, three large-scale tests were performed with abutment skew angles of 0, 15 and 30 degrees using an existing pile cap [11-ft (3.35-m) wide by 15-ft (4.57-m) long by 5.5-ft (1.68-m) high] and densely compacted sand backfill confined by MSE wingwalls. These tests showed a significant reduction in passive force (approximately 38% as a result of the 15 degree skew angle and 51% as a result of the 30° skew angle. The maximum passive force was achieved at a deflection of approximately 5% of the backwall height; however, a substantial loss in the rate of strength gain was observed at a deflection of approximately 3% of the backwall height for the 15° and 30° skew tests. Additionally, the soil stiffness appears to be largely unaffected by skew angle for small displacements. These results correlate very well with data available from numerical modeling and small-scale lab tests. Maximum vertical backfill displacement and maximum soil pressure measured normal to the skewed backwall face were located on the acute side of the skew for the 15° and 30° skew test. This observation appears to be consistent with observations made in various case studies for skewed bridge abutments. Also, the maximum outward displacement of the MSE wingwalls was located on the obtuse side of the skew. These findings suggest that changes should be made to current codes and practices to properly account for skew angle in bridge design.

Bridge abutments are designed to withstand lateral pressures from thermal expansion and seismic forces. Current design curves have been seen to dangerously over- and under-estimate the peak passive resistance and corresponding deflection of abutment backfills. Similar studies on passive pressure have shown that passive resistance changes with different types of constructed backfills. The effects of changing the length to width ratio, or including MSE wingwalls determine passive force-deflection relationships. The purpose of this study is to determine the effects of the wall heights and of the MSE support on passive pressure and backfill failure, and to compare the field results with various predictive methods. To compare the effects of backfill geometries, three large-scale tests with dense compact sand were performed with abutment backfill heights of 3 ft (0.91 m), 5.5 ft (1.68 m), and 5.5 ft (1.68 m) confined with MSE wingwalls. Using an existing pile cap 11 ft (3.35 m) wide and 5.5 ft (1.68 m) high, width to height ratios for the abutment backfills were 3.7 for the 3ft test, and 2.0 for the 5.5ft and MSE tests. The failure surface for the unconfined backfills exhibited a 3D geometry with failure surfaces extending beyond the edge of the cap, increasing the "effective width", and producing a failure "bulb". In contrast, the constraint provided by the MSE wingwalls produced a more 2D failure geometry. The "effective width" of the failure surface increased as the width to height ratio decreased. In terms of total passive force, the unconfined 5.5ft wall provided about 6% more resistance than the 5.5ft MSE wall. However, in terms of passive force/width the MSE wall provided about 70% more resistance than the unconfined wall, which is more consistent with a plane strain, or 2D, failure geometry. In comparison with predicted forces, the MSE curve never seemed to fit, while the 3ft and 5.5ft curves were better represented with different methods. Even with optimizing between both the unconfined curves, the predicted Log Spiral peak passive forces were most accurate, within 12% of the measured peak resistances. The components of passive force between the unconfined tests suggest the passive force is influenced more by frictional resistance and less by the cohesion as the height of the backwall increases.