371 research outputs found
Between environmental literature and ocean literature, Syaman Rapongan and Liao Hongji
No full textThe subject of the bachelor thesis is a literary analysis of selected works with oceanic subject matter by contemporary Taiwanese authors Syaman Rapongan (*1957) and Liao Hongji (*1957). Rapongan's novel The Eyes of the Sky (2012) and Liao Hongji's short story cycle Fishermen (1996) will be presented in the broader context of "bentu literature" (bentu wenxue; i.e., local Taiwanese literature) and closely related environmental and ocean literature. In the analytical part, the author will focus on the motivic construction in the work of Rapongan and Liao in relation to ocean and environmental themes. The main focus will be on the differences in the conception of the ocean and marine culture in Rapongan's work as a member of the indigenous tribe Tao, and Liao Hongji, whose origin is Han. The thesis further examines whether and how environmental and oceanic literature overlap, using Wu Mingyi's definition of environmental literature. Keywords Syaman Rapongan, Liao Hongji, ocean literature, environmental literature, bentu wenxu
sj-docx-1-jet-10.1177_15266028231212761 – Supplemental material for Covered Stents vs Bare Metal Stents for Aortoiliac Arterial Diseases: A Systematic Review and Meta-Analysis
No full textSupplemental material, sj-docx-1-jet-10.1177_15266028231212761 for Covered Stents vs Bare Metal Stents for Aortoiliac Arterial Diseases: A Systematic Review and Meta-Analysis by Chenlin Zeng, Zhaoyu Wu, Jiahao Lei, Hongji Pu, Peng Qiu, Zhaoxi Peng, Yijun Liu, Kaichuang Ye and Xinwu Lu in Journal of Endovascular Therapy</p
Between environmental literature and ocean literature, Syaman Rapongan and Liao Hongji
No full textThe subject of the bachelor thesis is a literary analysis of selected works with oceanic subject matter by contemporary Taiwanese authors Syaman Rapongan (*1957) and Liao Hongji (*1957). Rapongan's novel The Eyes of the Sky (2012) and Liao Hongji's short story cycle Fishermen (1996) will be presented in the broader context of "bentu literature" (bentu wenxue; i.e., local Taiwanese literature) and closely related environmental and ocean literature. In the analytical part, the author will focus on the motivic construction in the work of Rapongan and Liao in relation to ocean and environmental themes. The main focus will be on the differences in the conception of the ocean and marine culture in Rapongan's work as a member of the indigenous tribe Tao, and Liao Hongji, whose origin is Han. The thesis further examines whether and how environmental and oceanic literature overlap, using Wu Mingyi's definition of environmental literature. Keywords Syaman Rapongan, Liao Hongji, ocean literature, environmental literature, bentu wenxuePředmětem bakalářské práce je literárně-vědná analýza vybraných děl s oceánskou tematikou současných tchajwanských autorů Syamana Rapongana (*1957) a Liao Hongjiho (*1957). Raponganův román Oči Nebes (2012, přel. Šimonová, 2017) a Liao Hongjiho povídkový cyklus Rybáři (1996, přel. Krámská, 2017) budou představeny v širším kontextu "literatury bentu" (bentu wenxue; tj. místní taiwanské literatury) a s ní úzce související environmentální a oceánské literatury. V analytické části se autorka zaměří na motivickou výstavbu v tvorbě Rapongana a Liaoa ve vztahu s oceánskou a environmentální tematikou. Hlavní důraz bude kladen na rozdíly v pojetí oceánu a mořské kultury v tvorbě Rapongana jako příslušníka kmene původních obyvatel Tao, a Liao Hongjiho, jehož původ je hanský. Práce dále zkoumá, zda a jak se proudy environmentální a oceánské literatury překrývají, při čemž pracuje s definicí environmentální literatury podle Wu Mingyiho. Klíčová slova Syaman Rapongan, Liao Hongji, literatura oceánu, environmentální literatura, bentu wenxueKatedra sinologieDepartment of SinologyFilozofická fakultaFaculty of Art
Dynamic probabilistic models for efficient and generalizable human action recognition
No full textDecember 2024School of EngineeringHuman action recognition (HAR) focuses on identifying human actions in video data. It has numerous important applications such as surveillance and smart homes. Despite its significance, HAR is challenging due to the complex dynamic patterns associated with human actions, the presence of redundant and irrelevant data in input, the high computational efficiency requirements, and the necessity to recognize both known and unknown human actions. This thesis aims to combine state-of-the-art dynamic deep models with explicit uncertainty modeling to achieve accurate, robust, and efficient HAR. First, to address the complex dynamic patterns inherent in human actions, we integrate transformer models with uncertainty modeling for complex HAR. Using the self-attention mechanism of the transformer, our model captures intricate dependencies among atomic actions. Additionally, we extend the transformer into a probabilistic transformer by treating the attention scores as random variables to capture both data and model uncertainties. Evaluations of our model on benchmarks demonstrate its superiority over existing methods. Second, to mitigate the impact of the redundant and irrelevant data on HAR, we propose an uncertainty-based spatial-temporal attention mechanism for continuous action recognition. By explicitly modeling the mutual information between the predicted labels and features using uncertainty, we generate attention masks that enable the model to prioritize high-MI features, while disregarding redundant and irrelevant ones. Evaluations on continuous action recogntion benchmarks demonstrate the effectiveness of our approach. Third, to achieve both real-time HAR along with accurate uncertainty quantification (UQ), we introduce a Bayesian Evidential Deep Learning (BEDL) framework. By combining Bayesian and evidential deep learning, BEDL employs a knowledge distillation procedure to transfer accurate UQ from a Bayesian model to a deep evidential model, which performs fast inference and precise UQ. Experiments demonstrate the accuracy and efficiency of BEDL. Finally, we tackle the challenge of recognizing both known and unknown human actions. We propose a Bayesian open-setHAR method that utilizes a deep ensemble to estimate epistemic uncertainty, enabling the distinction between known and unknown actions. Additionally, we employ optical flow to guide the model's focus on high-motion regions. Our evaluations on benchmarks reveal that our method achieves superior performance.Ph
Exploring the Relationship Between Immune Cells and Non-Scarring Hair Loss: A Mendelian Randomization Study
No full textHongtao Liu, Xiao Huang, Hongji Wei, Yanchang Nong Clinical Medical School, Guangxi Health Science College, Nanning, People’s Republic of ChinaCorrespondence: Yanchang Nong, Clinical Medical School, Guangxi Health Science College, Nanning, People’s Republic of China, Email [email protected]: Non-scarring hair loss (NSHL) is a global health concern with increasing prevalence due to lifestyle changes and an aging population. It can cause psychological distress and affect quality of life.Objective: This study aimed to identify the associations between NSHL and immune cell phenotypes using a two-sample Mendelian randomization (MR) analysis, offering insights for future immune-based therapies for NSHL.Methods: We obtained immunocyte data from the IEU Open GWAS Project and NSHL data from the same database and used MR analysis to evaluate the causal association between each immunophenotype and NSHL. Three statistical methods were employed: the MR-Egger regression, weighted median estimation, and inverse variance weighting (IVW).Results: The MR resonance imaging identified 31 immunocyte phenotypes associated with NSHL. Among these, 19 immunocyte phenotypes were negatively associated with NSHL, indicating their protective effects. The remaining 12 immunocyte phenotypes were positive association. Sensitivity analyses suggested the robustness of all MR findings.Conclusion: These findings highlight a clear correlation between NSHL and immunity, demonstrating the significant role of certain immune cell phenotypes. This study offers a new direction for immune-based therapies in the treatment of NSHL.Keywords: non-scarring hair loss, immune cell, Mendelian randomization, immunotherap
Low-cost automated construction of vectorized high-definition road maps for intelligent vehicles
No full textAs intelligent vehicles (IVs) applications expand to large-scale and open road scenarios, vectorized high-definition maps (VHD maps) demonstrate greater potential than traditional metric maps. Despite substantial progress, the low-cost automated construction of VHD maps remains a serious challenge, which has slowed their practical application. In this dissertation, we tackle the issue of low-cost automated VHD map construction by enhancing Inverse Perspective Mapping (IPM) technology. We begin with a straightforward scenario, proposing a framework that improves IPM through pose-guided optimization, specifically addressing the automated creation of high-definition angular marking maps (HDAM maps). This framework not only enhances the accuracy of IPM-based mapping results but also refines the initial estimates of the IPM matrix. We then extend this framework to encompass more complex transportation scenarios, incorporating additional traffic elements such as common ground markings and lane lines. To illustrate the practical value of VHD maps in IV applications, we focus on the state estimation task of autonomous vehicles (AVs). We introduce a universal state correction system that relies solely on VHD maps, enabling AVs to achieve higher state estimation accuracy compared to traditional simultaneous localization and mapping (SLAM) methods. To optimize the use of VHD maps, we propose a query-based data exchange protocol, allowing multiple vehicles to share the same map data, aligning with the future trend of crowdsourced mapping. In summary, this dissertation advances the low-cost automated construction of VHD maps and demonstrates their extensive potential in IV applications, particularly through the example of AV state estimation. The development of low-cost automated VHD maps paves the way for their broader adoption. The practical application of VHD map in the field of AV proves that this map form is not merely theoretical but meets the current needs of IVs and is poised to replace traditional metric-based maps.</p
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