775 research outputs found
Supplemental Material - Identification of monocyte-associated biomarkers in systemic lupus erythematosus and their pan-cancer analysis
No full textSupplemental Material for Identification of monocyte-associated biomarkers in systemic lupus erythematosus and their pan-cancer analysis by Huiting Chen, Jinxuan He, Linwei Wang, Yanbin Lin, Zhixiang Mou, Xiaoxuan Huang, and Lan Chen in Lupus.</p
sj-docx-1-chl-10.1177_17475198231180835 – Supplemental material for Synthesis and anti-leukemia activity of phorbol 13,20-diesters and phorbol 12,13,20-triesters
No full textSupplemental material, sj-docx-1-chl-10.1177_17475198231180835 for Synthesis and anti-leukemia activity of phorbol 13,20-diesters and phorbol 12,13,20-triesters by Yan Wang, Yu Shan, Rui Feng, Siyu Wang, Linwei Li, Shu Xu, Yu Chen, Xu Feng, Jinyue Luo and Fei Liu in Journal of Chemical Research</p
Modelling of waste heat recovery of a biomass combustion plant through ground source heat pumps- development of an efficient numerical framework
Get PDFDevelopment of a reliable and convenient dynamic modelling approach for ground source heat pumps remains as an important unresolved issue. As a remedy, in this work a novel, computationally-efficient modelling framework is developed and rigorously validated. This is based upon an implicit computational modelling approach of the ground together with an empirical modelling of heat and fluid flow inside U-tube ground heat exchangers and waste heat calculations. The coupled governing equations are solved simultaneously and the influences of parameters on the performance of the whole system are evaluated. The outcomes of the developed framework are, first, favorably compared against two different existing cases in the literature. Subsequently, the underground storage and recovery process of the waste heat through flue gases generated by a biomass combustion plant are modelled numerically. This reveals the history of temperature distributions in the ground under different configurations of the system. The results show that for a biomass combustion plant generating flue gases at 485.9 K as waste heat with the mass flow rate of 0.773 kg/s, the extracted heat from the ground is increase by 7.6%, 14.4% and 23.7% per unit length of the borehole corresponding to 40 °C, 50 °C and 60 °C storage temperatures. It is further shown that the proposed storage system can recover a significant fraction of the thermal energy otherwise wasted to the atmosphere. Hence, it practically offers a sizable reduction in greenhouse gas 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
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
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
Stochastic optimization with decisions truncated by random variables and its applications in operations
Get PDFWe 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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Efficient Bayesian Uncertainty Estimation for nnU-Net
Get PDFThe 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
正學理想與天人回環 : 論船山思想的核心問題與視野
No full textThis dissertation tries to bring into view the central problem and horizon of Wang Fu-chih’s thought, namely Correct-Learning Ideal and Heaven-Human Circle, which, functioning as the underlying path, will lead us to the deepest area of Wang Fu-chih’s thought. Corresponding to this line, the main content of this dissertation is divided into three parts.Part I contains two chapters. Chapter I demonstrates Wang Fu-chih’s ideal of Correct-Learning, which can be prescribed by three interrelated features, i.e., the virtuously setting down of life and death, fulfilling the humanity and practicing the genuine learning. Chapter II explicates the horizon of Heaven-Human Circle and its constituents, i.e., Heaven as the ultimate ground of original emerging, Human as the self-extending of intentionality and In-between as the space for operating freedom. A fair understanding of this horizon is decisive for any successful interpretation of Chuanshan’s thought.Corresponding to chapter II, Part II includes three chapters which respectively deal with Chuanshan’s comprehension of the way of Heaven, the nature of humanity and the cultivation of humanistic praxis. These three chapters analyze in a descriptive manner certain basic themes of Chuanshan’s doctrine of Heaven, Human and the “In” between them.Part III, which corresponds to Chapter I, also has three chapters. Chapter VI elucidates Chuanshan’s reconstruction of the orthodox of Confucianism; certain prominent figures of Confucianism are extraordinarily dealt with there. Chapter VII copes with Chuanshan’s critique and elevation of Daoism, the thought of Lao Tzu and Chuang Tzu as exemplar is mainly discussed. Chapter VIII deals with Chuanshan’s rough critique of Buddhism and his appraisal of Yogacara as well, which implicates a new way of elevating Buddhism to genuine learning.Besides these, this dissertation encompasses an introduction and an epilogue as well. The former demonstrates the theme, the phenomenological method of this research and also its arrangement of content. The latter discusses briefly the position of Wang Fu-chih’s thought in the background of the genuine history of Chinese thought. This in turn points to a further unfolding of Wang Fu-chih’s thought in the future.</p
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-Sheet Microscopy
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