202 research outputs found
A well-to-wire life cycle assessment of Canadian shale gas for electricity generation in China
No full textChina relies heavily on coal for power generation, and the demand for coal in a country of this size makes China the world’s largest carbon dioxide emitter; hence China is pursuing greener pathways for power generation. Importing shale gas in the form of LNG from Canada is one such pathway. It starts with the recovery of shale gas in Canada and its export to China. This paper quantifies well-to-wire (WTW) greenhouse gas (GHG) emissions per kilowatt hour (kWh) of Canadian shale gas-fuelled electricity in China through models. WTW emissions include emissions from recovery, processing, transmission, liquefaction, marine shipping, re-gasification, power plant operations, and electricity transmission and distribution. Four Canadian shale gas reserves - Montney, Horn River, Liard, and Cordova - are considered. The results show that the WTW GHG emissions of Canadian shale gas-fired combined cycle technology range from 567-610 gCO2/kWh (57-62% of the GHG emissions from China’s present coal-fired electricity), and total well-to-port (WTP) GHG emissions (emissions from recovery, processing, and transmission to a liquefaction facility) range from 7.68 to 13.4 gCO2e/MJ. Sensitivity analysis results show that venting emissions during raw gas processing, flaring rates during well completion, and lifetime productivity of the gas significantly influence WTP emissions
DisQ: Disentangling Quantitative MRI Mapping of the Heart
No full textQuantitative MRI (qMRI) of the heart has become an important clinical tool for examining myocardial tissue properties. Because heart is a moving object, it is usually imaged with electrocardiogram and respiratory gating during acquisition, to “freeze” its motion. In reality, gating is more-often-than-not imperfect given the heart rate variability and nonideal breath-hold. qMRI of the heart, consequently, is characteristic of varying image contrast as well as residual motion, the latter compromising the quality of quantitative mapping. Motion correction is an important step prior to parametric mapping, however, a long-standing difficulty for registering the dynamic sequence is that the contrast across frames varies wildly: depending on the acquisition scheme some frames can have extremely poor contrast, which fails both traditional optimization-based and modern learning-based registration methods. In this work, we propose a novel framework named DisQ, which Disentangles Quantitative mapping sequences into the latent space of contrast and anatomy, fully unsupervised. The disentangled latent spaces serve for the purpose of generating a series of images with identical contrast, which enables easy and accurate registration of all frames. We applied our DisQ method to the modified Look-Locker inversion recovery (MOLLI) sequence, and demonstrated improved performance of T1 mapping. In addition, we showed the possibility of generating a dynamic series of baseline images with exactly the same shape, strictly registered and perfectly “frozen". Our proposed DisQ methodology readily extends to other types of cardiac qMRI such as T2 mapping and perfusion.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.ImPhys/Medical Imagin
Identification of carbon responsibility factors based on energy consumption from 2005 to 2020 in China
No full textElectrocardiographic Imaging
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
Electrocardiographic Imaging
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
Efficient Bayesian Uncertainty Estimation for nnU-Net
No full textThe self-configuring nnU-Net has achieved leading performance in a large
range of medical image segmentation challenges. It is widely considered as the
model of choice and a strong baseline for medical image segmentation. However,
despite its extraordinary performance, nnU-Net does not supply a measure of
uncertainty to indicate its possible failure. This can be problematic for
large-scale image segmentation applications, where data are heterogeneous and
nnU-Net may fail without notice. In this work, we introduce a novel method to
estimate nnU-Net uncertainty for medical image segmentation. We propose a
highly effective scheme for posterior sampling of weight space for Bayesian
uncertainty estimation. Different from previous baseline methods such as Monte
Carlo Dropout and mean-field Bayesian Neural Networks, our proposed method does
not require a variational architecture and keeps the original nnU-Net
architecture intact, thereby preserving its excellent performance and ease of
use. Additionally, we boost the segmentation performance over the original
nnU-Net via marginalizing multi-modal posterior models. We applied our method
on the public ACDC and M&M datasets of cardiac MRI and demonstrated improved
uncertainty estimation over a range of baseline methods. The proposed method
further strengthens nnU-Net for medical image segmentation in terms of both
segmentation accuracy and quality control
Stochastic optimization with decisions truncated by random variables and its applications in operations
No full textWe study stochastic optimization problems with decisions truncated by random variables and its applications in operations management. The technical difficulty of these problems is that the optimization problem is not convex due to the truncation. We develop a transformation technique to convert the original non-convex optimization problems to convex ones while preservation some desired structural properties, which are useful for characterizing optimal decision policies and conducting comparative statics. Our transformation technique provides a unified approach to analyze a broad class of models in inventory control and revenue management. In additional, we develop efficient algorithms to solve the transformed stochastic optimization problem.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-08-01The student, Xiangyu Gao, accepted the attached license on 2017-06-23 at 09:21.The student, Xiangyu Gao, submitted this Dissertation for approval on 2017-06-23 at 09:23.This Dissertation was approved for publication on 2017-06-26 at 13:18.DSpace SAF Submission Ingestion Package generated from Vireo submission #11220 on 2017-09-29 at 11:13:44Made available in DSpace on 2017-09-29T16:39:09Z (GMT). No. of bitstreams: 3
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Fashion in neutral
No full textLAUREA SPECIALISTICALa trasversalità della moda neutra, la sua forte connotazione che, pur mantenendo nella sua specificità un “understatement” tipico dei movimenti e dei fenomeni culturali che non s’impongono con la forza del loro apparire ma con l’essenzialità delle idee e con l’innovazione che esse portano, sono questi solo alcuni degli aspetti che vengono valutati ed analizzati nel corso della ricerca.
Il fenomeno neutrale o unisex quale “smussatore” di differenze di genere dell’abbigliamento, svolgendo un ruolo di grande importanza, prima nel campo sociale e poi nel suo microcosmo moda, rende possibile argomentazioni e dinamiche improponibili in precedenza. Il sesso di appartenenza si sfuma in contorni non definibili ma di forte richiamo e non è più il punto di partenza per l’opera creativa dell’artista/designer.
Forme e dimensioni entrano a far parte di un mondo fino a prima surreale ma col passare del tempo sempre più accettato nella società progressista. L’etica e l’estetica del gusto fanno parte nell’unisex di un “continuum” imprescindibile dai movimenti sociali che l’hanno prima abbozzato, poi definito e successivamente consacrato.
Attraverso l’analisi delle origini storiche dei tre tipi di abbigliamento neutro, la ricerca ha voluto interpretare l’inevitabilità dell’affermarsi della moda neutra, il suo modo di imporsi come pure le caratteristiche e gli obiettivi prefissati per uno sviluppo futuro. E’ stata esaminata la matrice psicologica degli aspetti unixex nella moda, insieme alle motivazioni che spingono il consumatore/fruitore. Le interrelazioni tra ruolo sociale e valore estetico dell’abbigliamento neutro ci hanno dimostrato e insegnato la morale che scaturisce da un tale fenomeno. Le contrapposizioni tolleranza-consuetudine e stile di vita modo di essere/vestire hanno gettato una luce sulla forza dirompente di questo segmento moda che naturalizza e liberalizza il modo di vestire dell’individuo fungendo da catalizzatore per “essere” in una società con meno pregiudizi.
Dinamiche psicosociali nella moda neutra e semplici atteggiamenti istintivi comunque sempre correlati si fondono in uno scenario affascinante e nel contempo conturbante che, se gestito in modo efficiente da tutti colori che si sentono e vogliono esserne coinvolti, sarà in grado di trasmettere grandi emozioni sempre e comunque in una dimensione di “undesrtatement”
Research on curriculum and instruction in digital intelligence empowered engineering education based on first principles
No full textFacing the challenges of cultivating complex and innovative engineering talents, this study explores the innovation of engineering education and teaching empowered by digital intelligence based on first principles. By deconstructing the core connotations of education and learning, it emphasizes that university education needs to stimulate students‘ proactive exploration abilities and metacognitive development while respecting individual differences and implementing tailored teaching. The study finds that the first principles of education (holistic education) and learning (active construction) jointly drive the realization of educational goals through a six-dimensional dialectical unity. To further address the current problems in engineering education, such as insufficient student motivation and insufficient scientific nature of teaching evaluation, the study constructs a four-dimensional implementation path integrating digital intelligence. This includes using big data analysis to understand student learning situations and intelligent agents to achieve smart companion learning, using AI algorithms to recommend resources for personalized learning path planning, using project-led teaching to enhance engineering innovation training, and improving the digital capability development system for teachers to promote the knowledge graph integration of teaching resources. The study shows that digital intelligence technology, by reconstructing the resource supply model and optimizing process evaluation standards, has become a key way to implement first principles teaching strategies. It not only promotes teaching from “experience-driven” to “data-driven” but also supports lifelong capability development through the full life cycle learning portrait. Based on theoretical research, the study also demonstrates the promoting effect of digital intelligence empowerment on students' ability development through the innovative teaching practice of mechanical engineering students in the past 3 years
Quantifying sexual mixing by HIV status and pre-exposure prophylaxis (PrEP) use among men who have sex with men
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