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关键词： Segmentation   Boosting   Category attention  

摘要： With the development of machine learning and artificial intelligence, many convolutional neural networks (CNNs) based segmentation methods have been proposed for 3D cardiac segmentation. In this paper, we propose the category attention boosting (CAB) module, which combines the deep network calculation graph with the boosting method. On the one hand, we add the attention mechanism into the gradient boosting process, which enhances the information of coarse segmentation without high computation cost. On the other hand, we introduce the CAB module into the 3D U-Net segmentation network and construct a new multi-scale boosting model CAB U-Net which strengthens the gradient flow in the network and makes full use of the low resolution feature information. Thanks to the advantage that end-to-end networks can adaptively adjust the internal parameters, CAB U-Net can make full use of the complementary effects among different base learners. Extensive experiments on public datasets show that our approach can achieve superior performance over the state-of-the-art methods. (C) 2020 Elsevier Ltd. All rights reserved.

摘要： The article presents the monitoring of clinical care cases. Topics include look at the association between metformin use and vitamin B12 deficiency; simple tool for quantifying the chance of meeting HbA1c targets without adding medication; and prevalence of incidental haematological conditions in patients with extremely low HbA1c levels.

关键词： Sequential language learning   SLA   production   perception   stop voicing  

摘要： Research on the acquisition of L2 phonology in sequential language learners has stressed the importance of language use and input as a means to accurate production and perception;however, the two constructs are difficult to evaluate and control. This study focuses on the role of language use during the initial stages of development of phonetic categories related to stop voicing and analyzes the relationship between production and perception. Native English-speaking late learners of Spanish provided production/perception data on a weekly basis throughout the course of a seven-week immersion program in which L1 use was prohibited. The production/perception data were analyzed using generalized linear mixed effects models. Generalized additive mixed models were used to analyze and compare the learning trajectories of each modality. The analyses revealed phonetic learning in both production and perception over the course of the program. Perception gains paralleled those of native bilinguals by the conclusion of the program and preceded production gains. This study is novel in that it provides production/perception data in a semi-longitudinal design. Moreover, the beginning adult learners are examined in a learning context in which L1 use was minimal and L2 input was maximized. Taken together, the experiments suggest that L2 phonetic category formation can occur abruptly, at an early stage of development, is perceptually driven, and appears to be particularly fragile during the initial stages of learning.

关键词： attribution theory   environmental scanning   Linguistic Category Model   situational crisis communication theory   social media  

摘要： By applying the Linguistic Category Model (LCM) in crisis communication, this study explores the potential of verb tracking on social media to examine how linguistic categories can elucidate the intentional and/or unintentional communication of crisis attribution frames. Through a content analysis, linguistic categories used in both media posts reporting three clusters of crisis and public comments on Facebook were examined. Results indicated that linguistic abstraction in both media post and public comments describing the crisis varied based on crisis cluster, suggesting that the level of linguistic abstraction reflected perceived attribution of responsibility through stability, locus and controllability. Language used to describe preventable crisis tend to be more abstract than those used to describe accidental and victim crisis. Findings of this study empirically tested the integration of LCM in crisis communication and implied potential application of LCM in building automated environmental scanning and crisis prediction systems.

关键词： Fusion categories   Central Hopf monad   Character algebra   Ribbon categories  

摘要： A criterion for the Muger centralizer of a fusion subcategory of a braided non-degenerate fusion category is given. Along the way we extend some identities on the space of class functions of a fusion category introduced by Shimizu (J Pure Appl Algebra 221(9):2338-2371, 2017). We also show that in a modular tensor category the product of two conjugacy class sums is a linear combination of conjugacy class sums with rational coefficients.

关键词： Convolutional neural networks   Text classification   Contextual information   Word representation  

摘要： Convolutional neural networks (CNNs) are widely used in many natural language processing tasks, which employ some convolutional filters to capture useful semantic features of a text. However, a small window size convolutional filter is short of the ability to capture contextual information, simply increasing the window size may bring the problems of data sparsity and enormous parameters. To capture the contextual information, we propose to use the weighted sum operation to obtain contextual word representation. We present one implicit weighting method and two explicit category-aware weighting methods to assign the weights of the contextual information. Experimental results on five text classification datasets show the effectiveness of our proposed methods.

关键词： Two-term R[1]-rigid subcategories   Two-term (weak) R[1]-cluster tilting subcategories   T-rigid subcategories   Support T-tilting subcategories   Silting subcategories  

摘要： Let C be a triangulated category with shift functor [1] and Ra rigid subcategory of C. We introduce the notions of two-term R[1]-rigid subcategories, two-term (weak) R[1]-cluster tilting subcategories and two-term maximal R[1]-rigid subcategories. Our main result shows that there exists a bijection between the set of two-term R[1]-rigid subcategories of Cand the set of t-rigid subcategories of modR, which induces a one-to-one correspondence between the set of two-term weak R[1]-cluster tilting subcategories of Cand the set of support t-tilting subcategories of modR. This generalizes the main results in [15] where Ris a cluster tilting subcategory. When Ris a silting subcategory, we prove that the two-term weak R[1]-cluster tilting subcategories are precisely two-term silting subcategories in [9]. Thus the bijection above induces the bijection given by Iyama-Jorgensen-Yang in [9]. (C) 2020 Elsevier B.V. All rights reserved.