The Nazar Dual Audio 720p Download Torrent
Gema Shisila
Simão, Teresa (2016).Bimetallic nanoparticles synthetized by pulsed laser ablation in liquids as a contrast agent for dual imaging by CT and MRI.Thèse.Québec, Université du Québec, Institut national de la recherche scientifique, Doctorat en sciences de l'énergie et des matériaux, 126 p.
Electron beam powder bed fusion (PBF-EB) is increasingly attracting attention for manufacturing the near-net shape parts due to its incomparable merits, such as free residual stress and superior mechanical performance. Nickel Titanium (NiTi) as the most widely used functional alloy, has not been systematically explored for manufacturing using PBF-EB despite the perfect vacuum and high temperature manufacturing environment. Therefore, this research explores the various aspects of PBF-EB for enabling the manufacturing of NiTi parts.
Surahammars Bruks AB produces non-oriented electrical steel used in several types of motors and generators. Because of recent years exponentially growing market for electrical vehicles, non-oriented electrical steel used in electrical vehicle motors is becoming an increasingly important product. Magnetic properties of the steel are very important for the efficiency of the vehicle. After cold rolling, the steel coil is annealed, which is the final manufacturing step. After final annealing, the steel is cooled gently to avoid detrimental effects on the final product. Still, it is believed that residual stresses are created in the steel during cooling, which gives worse magnetic properties in the finished material. The purpose of this thesis is to investigate the detrimental effects from the non-optimized cooling of the coil and their effect on power losses. The second part of the work will focus on optimizing the cooling. Production trials were performed to test different cooling strategies. Magnetic measurements were performed and evaluated. Single strips were measured in the rolling direction (RD) and compared with Epstein measurements. Results showed possible improvement in power losses by using gentler cooling. Results also showed increased losses and changed loss pattern as an effect of cutting the material into single strips. Cutting the material into strips changed losses differently for RD losses compared to losses in the transverse direction (TD). These results showed the importance of understanding and improving power losses in both RD and TD.
Calls for changes in higher education are omnipresent and motivated by major challenges for society. Several of these challenges, for example those related to digitalization and sustainability, falls into the category of emerging and transformative challenges. The breadth and width of such challenges is too large to be handled by a single individual or even a small group of individuals. Instead, their solution requires an adaptive leadership with relevant activities at all organizational levels. From research literature and previous successful change processes, it is known that change leaders in the middle are key players during such transformations. In engineering education (and in fact in any other education aiming for a profession), it is natural that this role is taken by a program director who already has a responsibility for the quality and the development of an engineering program. In this work, I will approach the role of a program director from a logical perspective using arguments based on a simple comparison between available time and total time required to create the desired change. It is obvious that large challenges demand a substantial amount of time to find an acceptable solution, which is outside of the reach for any single individual, I will also discuss the crucial role of persons in the middle for obtaining successful change related to large challenges. Finally, I will also try to give some answers to the question how a program director in the role as a person in the middle can survive in this pressing situation. I will point towards the needs for some competence in agile change management, the ability to create structures and collaborative efforts that promote agile actions, the need for making coherence and using inclusion strategies and the necessity of networking. I will also emphasize the importance that universities support internal and external networking structures.
This study aims to investigate the feasibility of a neural network for temporal super-resolution and denoising of 4D Flow MRI data. To achieve this, we propose a residual convolutional neural network (based on the 4DFlowNet from Ferdian et al.) providing an end-to-end mapping from temporal low resolution space to high resolution space. The network is trained on patient-specific cardiac models created with computational-fluid dynamic (CFD) simulations covering a full cardiac cycle. For clinical contextualization, performance is assessed on clinical patient data. The study shows the potential of the 4DFlowNet for temporal-super resolution with an average relative error of 16.6 % on an unseen cardiac domain, outperforming deterministic methods such as linear and cubic interpolation. We find that the network effectively reduces noise and recovers high-transient flow by a factor of 2 on both in-silico and in-vivo cardiac datasets. The prediction results in a temporal resolution of 20 ms, going beyond the general clinical routine of 30-40 ms. This study exemplifies the performance of a residual CNN for temporal super-resolution of 4D flow MRI data, providing an option to extend evaluations to aortic geometries and to further develop different upsampling factors and temporal resolutions.
aa06259810