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    43618 research outputs found

    Designing and Optimizing Hybrid-PM Variable Flux Machines

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    Research interest in variable flux machines has been steadily growing in recent years. Permanent magnet machines provide a high-power density and efficiency across the entire speed-torque curve. However, this type of machine experiences a drop in efficiency as it transitions into the high-speed region. On the other hand, eliminating the rare-earth permanent magnet used in the variable flux machine is increasingly garnering interest among researchers, especially in traction applications. The interest in this field is due to the scarcity of rare-earth magnets because of the limited availability of the elements necessary to produce these magnets, and because they originate predominantly from a single source. The permanent magnet-variable flux machines have the potential to reduce the rare-earth magnet utilization as well as improve the efficiency at a high-speed region. The non/reduced-rare-earth magnets, which are employed as variable permanent magnets, will fill the gap resulting from minimizing the utilization of the rare-earth permanent magnet. Hence, the amount of magnetic flux can be altered and regulated in these machines by intentionally demagnetizing or re-magnetizing the low-coercive force magnets. This dissertation proposes two novel hybrid permanent-magnet variable flux machines. In both machines, the NdFeB magnet is utilized as a high-coercive-force magnet, whereas the AlNiCo magnet and the new Iron Nitride (FeN) magnet are employed as a low-coercive-force magnet, alternately. The magnets are arranged in the rotor precisely in order to fully capitalize on the advantages of these magnets in the machines. The level of demagnetization of the low-coercive-force magnet with different sizes is explored in this study. Moreover, the equivalent magnetic circuit is established to analyze and understand the behavior of the magnetic system in each machine. The analytical solution of the magnetic circuit is determined and compared to the Finite Element Analysis (FEA) solution. In addition, the designs are investigated using FEA software to search for the potential enhancement in electromagnetic performance. An optimization process is used for both designs and the outcomes are compared to the Nissan Leaf conventional baseline IPM design machine. Furthermore, efficiency maps will be provided at various levels of demagnetization

    Self-Authorship in Teacher Candidates Learning to Create a Classroom of Respect and Rapport

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    ABSTRACT SELF-AUTHORSHIP IN TEACHER CANDIDATES LEARNING TO CREATE A CLASSROOM OF RESPECT AND RAPPORT Jacqueline Grajera Marquette University, 2024 Positive classroom climates set a foundation for equitable educational opportunities and, ultimately, social change (Whipp, 2013). This multi-modal two-phase study examined teacher candidate orientation of knowledge authority in creating a classroom environment marked by respectful relationships and genuine rapport at differing thresholds of field experience. Results of an adapted variation of Baxter Magolda and King’s (2001) Self-Authorship Survey (SAS) indicated that overall, when learning to cultivate a positive and supportive classroom environment, junior cohort study participants trusted the academia perspective of their university professor/advisor as knowledge authority, while the senior cohort perceived their own knowledge perspective as authoritative. The focal point of the study was the second phase- a qualitative follow-up semi-structured interview conducted with four (n=4) volunteers that featured the Self-Authoring interview protocol (Baxter Magolda & King, 2007). The interview assessed prior experiences that may have contributed to candidates’ initial body of knowledge, incongruent experiences between university philosophy and field placement reality, and resulting candidate communication patterns. Case study presentation and cross-case theme analysis raised important questions that challenge the notion of field experience\u27s role in teacher education and encourage future study. Findings include Feiman-Nemser and Buchmann\u27s (1985) two worlds pitfall continues to exist today, necessitating the understanding of the locus of TC knowledge authority in creating a positive and supportive classroom community. Context is crucial to fully appreciating knowledge authority orientation and interpreting if internal knowledge is a product of replication or reconceptualization of knowledge learned in coursework or field experience. Dichotomous experiences have the potential to either hamper or promote the development of a professional persona, dependent on the candidate\u27s ability to reflect and reframe them within context. Candidate interpersonal foundation for communication is rooted in feelings of safety and can insulate their epistemological foundation for knowledge and intrapersonal foundation for belief as they progress toward self-authorship. Teacher candidate Post-Covid 19 Field Placement may have affected their perceptions of teacher-mentor knowledge authority. Implications of these findings and future research are discussed

    Poem for Planeswalkers

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    Ennis Rook BashePoem for PlaneswalkersFandom: Magic the GatheringPoetryN/ACollection of the authorRating: Teen and upTags: magic the gathering, poetry, metaCreator\u27s notes: Magic: the Gathering is a trading card game. Its storyline focuses on people whose yearning for escape is so strong that it propels them through the Blind Eternities, the void between stars. They’re called Planeswalkers, and they’re the most powerful people in the multiverse. But their powers are often unhelpful when it comes to resolving their most pressing problems, such as overcoming dissociative amnesia, coping with grief, or facing guilt. As a social worker and certified therapeutic dungeon master (in the tabletop gaming sense,) I’m always interested in media properties that subtextually convey something about mental health. From my perspective, the question Magic: the Gathering asks is “What if no box could hold you? What if you could always instantly leave an uncomfortable situation… and what if you still stayed and fought?” -Ennis Rook Bash

    Global Challenges in Accessing Mental Health Services and Addressing the Impact of Alzheimer’s Disease and Depression

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    This research project focuses on developing a quantum sensing system that can detect biomarkers associated with health disorders, like Alzheimer’s and depression. Our goal is to create a sensitive and highly selective quantum sensing device using a diamond nitrogen vacancy (NV) center. To train and test our quantum machine learning algorithms we will preprocess data from the available Human Connectome Project dataset. This dataset forms the basis of our quantum-based methods. The core of our project revolves around developing quantum machine learning algorithms that utilize techniques such as Support Vector Machines and neural networks to diagnose health disorders using data from quantum sensors. The integrated quantum computing resources in our system will efficiently handle the volumes of generated data. We will tailor the quantum algorithms and software for platforms like IBM Qiskit ensuring they are well trained, optimized, precise and efficient in diagnosing these disorders. To evaluate their performance, we will compare them against AI and ML techniques using the Human Connectome Project dataset. In collaboration with health professionals and stakeholders we aim to explore applications while addressing implementation challenges and strategies, for translating our research into clinical practice. Our research project serves as a connection, between quantum technology, machine learning and mental health with the goal of enhancing precision and transforming the way we treat Alzheimer’s disease and depression. This interdisciplinary approach holds promise in improving the level of care and overall results, for individuals grappling with these health conditions

    Viscoelastic Properties of Thoraco-Abdominal Tissue Under Dynamic Compressive Loading

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    Finite element analysis is an effective tool for modeling the mechanical behavior of biologic structures, especially in scenarios where physical experimentation is impractical. The accuracy of these models depends on comprehensive mathematical formulations that describe tissue behavior using parameters derived from laboratory data. Currently there is a shortage of experimental data suitable for detailed parameter estimation. The goal of the current study was to generate a viscoelastic dataset using fresh harvested porcine tissue maintained under in vivo conditions, then provide a detailed constitutive model to capture the complex mechanical response. A sevohydraullic piston with a 5-mm spherical tip indenter was used to perform constrained and unconstrained load and hold tests on fresh porcine abdominothoracic tissues to characterize their stress relaxation behavior. Adipose, cardiac, costal cartilage, and lung tissue samples were loaded and then held at 10%, 20%, 35%, and 45% compressive strain over a 60 second duration. Elastic modulus was calculated over the loading period. Tissue type comparisons were made between normalized stress relaxation values at 11 discrete time points over the hold duration. Average relaxation curves were fit using a generalized quasilinear viscoelastic model (QLV) reported in the literature for biologic tissue. A tailored model was developed to improve the fit over the dynamic loading phase and initial relaxation period. Cartilage demonstrated the stiffest response (2.11 – 59.39 MPa), followed by adipose (0.50 – 2.15 MPa), cardiac (0.08 – 1.09 MPa), then lung tissue (9 – 170 kPa). These values aligned with previously established ranges reported in literature. Significant stress relaxation differences (p \u3c 0.05) were observed between all tissue types over the hold duration. As much as 32% relaxation was reported within the first 100 milliseconds. In three of the tissue groups, more than half of the total stress relaxation measured occurred within the first second. Between 50% and 92% total relaxation was measured across all groups at 60 seconds. 172 fresh abdominothoracic samples were reported over four tissue types at four distinct strain levels making this is one of the largest viscoelastic datasets reported to-date. This was the first study to present compressive stress relaxation viscoelastic properties of ventricular myocardium

    Zuckerberg Facebook post about Meta AI image generation and an imaginary meat shop

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    Figure 4

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    Control ELAV+Dcp-1 raw image files. They are in .nd2 format- Fig 4(a-d) Mutant ELAV+Dcp-1 raw image files. They are in .nd2 format- Fig 4(e-h) Colocalization data of Dcp-1 with ELAV in control and mutant brains are plotted in graph and stat analysis performed- Fig 4i All the imageJ calculations are also attached

    Figure 5

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    control CG network+Dcp-1 raw image files. They are in .nd2 format- Fig 5(a-d) mutant CG network+Dcp-1 raw image files. They are in .nd2 format- Fig 5(e-h) pie charts were made in the .doc file by taking the average percentage of DAPI stained cells- Fig 5(i-j) Number of DAPI stained cells in control and mutant brains plotted in graph and stat analysis included in prism file.- Fig 5k Object based analysis of control and mutant brains plotted in graph and stat analysis included in prism file.- Fig 5l All the imageJ calculations are also attached

    Remember One Thing Bind

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    NeatFreakGeekRemember One Thing Bind, 2024Fandom: Harry PotterFanfiction bind/videoN/ACollection of the creatorRating: General AudiencesTags: Harry Potter, Panville, Book binding, HandmadeCreator\u27s notes: This is a handmade, leather-bound copy of the Harry Potter fan fiction Remember One Thing written by PacificRimbaud.Never buy or sell bound fan fiction

    I’m A Star

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    Holly WoodI’m A Star, 2024 Fandom: Horror movie fandom, Pearl/X/Maxxxine Graphite/pencil and gel pen9 x 12 inCollection of the artist Rating: General Audiences Tags: Pearl, horror, horror movie, portrait, Mia GothCreator\u27s notes: This is a portrait of Mia Goth as Pearl in the movie Pearl during a pivotal moment of the movie where the main character’s identity is determined by others and redirects her life path. It’s a very emotional scene, and one of my favorite scenes in any film because of the raw emotion depicted

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