133 research outputs found
Mechanical Behavior of Large-Diameter Adjacent Shield Tunnelling Bridge Piles: A Case Study of Chunfeng Tunnel
No full textWhen a large-diameter shield crosses through bridge piles, stress and deformation of the bridge piles caused by tunnel excavation occurs. This is a an exciting topic of engineering research into the construction of subways. We considered an 15.8 m large-diameter shield machine made in China to excavate the Chunfeng tunnel as the background of our research. First, based on the previous engineering experience, reinforcement measures of the shield crossing the bridge piles were investigated. PLAXIS 3D finite element software was used to simulate the process of shield tunnelling through the piles of Hongling Interchange No. 1 Bridge. We analyzed the mechanical characteristics of the piles in the process of shield tunnelling through the bridge piles and evaluated the reliability of the reinforcement measures. Finally, combined with field monitoring data, the accuracy of the model and the rationality of the treatment measures were verified. This research considered a successful case of 15.8 m large-diameter adjacent shield tunnelling bridge piles. Analysis of the stratum and the mechanical behavior of bridge piles in the process of crossing provides a theoretical reference for engineering measures on similar projects in the future
Effects of family participatory dignity therapy on the psychological well-being and family function of patients with haematological malignancies and their family caregivers: a randomised controlled trial
No full textThis dataset contains all relevant data from one randomised controlled trail of family participatory dignity therapy on patients with haematological malignancies and their family caregivers. Here, we provide a copy of the original data of our research for reviewers to check and review. Notably, we cannot report all outcomes in our manuscript due to the word limit of the journal. The data can only be used for academic exchange and sharing. Those who intend to use the data need to contact the corresponding author and obtain consent before using them
Computational Frameworks for Subject-specific Prediction of Vertebral Fracture Risk
No full textThe full text of this item is not available at this time because the author has placed this item under an embargo until December 20, 2024.Aging leads to a significant decrease in bone mineral density (BMD), loss of muscle mass and strength, high risk for falls, and fractures. These musculoskeletal (MSK) changes significantly and negatively affect quality of life. Osteoporosis is a systemic skeletal disease in adults characterized by natural bone loss. Currently, about 20 million Americans over the age of 50 have osteoporosis while the prevalence increased from ∼10 million to >14 million people in 2020. Osteoporosis-related fractures affect nearly 2 million Americans annually and 9 million worldwide. Vertebral fractures, the hallmark of osteoporosis, cause substantial back pain and disability. Dual-energy X-ray absorptiometry (DXA) is the clinical gold-standard imaging technique for the estimation of 2D areal BMD (aBMD) as a surrogate for fracture risk. Quantitative computed tomography (QCT) provides a 3D measure of BMD and can more accurately describe bone heterogeneity and structure, addressing some of the disadvantages of DXA. When QCT is combined with finite element analysis (FEA) it can successfully be used to assess fracture properties of bones such as stiffness and failure loads. Besides bone properties, other can also affect the risk for fracture, including but not limited to spine curvatures and spinal loads. Skeletal muscle mass decline in older individuals can eventually result in altered spine curvature. Evaluation of spine loads can explain how loading on the various spine regions varies with physiological activities and over time, potentially leading to vertebral fractures. To address in vivo measurement challenges, MSK models can be developed to predict the loading of the intersegmental vertebral bodies during daily living activities.Biomedical Engineerin
Zhong Ying Duizhao Lu Xun Jiuti Shi (Lu Xun's Classical-style Poetry: a bilingual version)
No full textThis monograph addresses issues and debates that have arisen in Chinese, Japanese, and Western scholarly circles over the last sixty years concerning the exegesis, analysis, annotation and translation of Lu Xun's old-style poetry. The author discusses his approach to Chinese-English literary translation, arguing for the importance of the preservation of both mood (yijing 意境) and music (shenyun 神韵), criticizing the approach of translators who claim to present "plain and literal" versions in English, but in fact do not. The author's arguments are substantiated by his own translations, which are compared with those of other authorities, including William Jenner, former Professor of Chinese at the ANU and David Y. Chen, Professor Emeritus at The Ohio State University. This book was awarded a research publication grant by the Chinese State Publication Bureau in 2017 (重磅｜2017年度国家出版基金拟资助项目名单出炉). The author was the founder of Chinese-English literary translation studies at UNSW
Research on the bidirectional battery pack energy equalizer with a double cuk chopper circuits
No full text提升上海民办高校辅导员领导力的路径探索 (Ti sheng Shanghai min ban gao xiao fu dao yuan ling dao li de lu jing tan suo)
No full text在高校教育管理活动过程中，辅导员被赋予了“把学生培养成为德、智、体、美全面发展”、“社会主义合格的建设者与可靠接班人”的重要历史使命，承担着教育学生、管理学生、引导学生并积极开展思想政治教育的根本任务。辅导员的领导力水平直接关系到学生的健康成长和全面发展，影响到其个人岗位工作的执行效果与长远发展。然而，辅导员，尤其是民办高校的辅导员，受到多方面因素影响，领导力的培育意识和发展水平，与现实要求存在着比较大的差距。民办高校辅导员领导力提升存在着非常迫切的要求。在研究方法的选择上，本文采用文献法、案例法和访谈法相结合的研究方法。通过与上海民办高校一线辅导员代表、辅导员主管部门负责人代表、上海市教育主管部门个别同志等访谈的形式，对上海民办高校辅导员领导力提升的现实需求进行评估，并充分参考新加坡南洋理工大学的具体案例启示，围绕“上海民办高校辅导员领导力提升”角度，进行相关的分析研究。在研究的理论选择上，本文选用基于改善社会的领导理论和服务型领导理论为基础，基于上海民办高校辅导员领导力的现实发展水平与实际工作能力要求，提出以民办高校辅导员自我认知为核心，通过内部与外部两个途径相互作用，提升民办高校辅导员学习力、民办高校辅导员执行力、民办高校辅导员创新力与民办高校辅导员影响力的上海民办高校辅导员领导力提升模型，并提出领导力提升策略。从研究的结构来看，第一章介绍研究的背景与现状，明确研究的问题，提出研究方法并阐明研究意义。第二章在梳理领导力理论的基础上，就本文选择的基于改善社会的领导理论与服务型领导理论，进行阐述。第三章提出上海民办高校辅导员领导力提升模型，并对新加坡南洋理工大学的案例进行分析。第四章从挖掘内在潜力和创新外部机制两个角度，提出上海民办高校辅导员领导力提升策略
Heavenly Patterns
No full textForthcoming chapter in Monographs in Tang official history: Perspectives from the technical treatises of the History of Sui (Sui shu), ed. Daniel Patrick Morgan and Damien Chaussende, with the collaboration of Karine Chemla.International audienceThe ‘Tianwen zhi’ 天文志 (Heavenly Patterns Treatise) is a repetitive and fractured genre. Much of the contents from one treatise to another are the same, and the treatise’s typical division into a history, a star catalogue, and an annals of observed phenomena make it difficult to read as a whole. To approach the question of Li Chunfeng’s 李淳風 (602–670) hand in shaping the Sui shu 隋書 ‘Tianwen zhi’, this study avails itself to collation. Isolating what contents Li’s Sui shu treatise shares word for word with the Jin shu 晉書, Song shu 宋書, and Han shu 漢書, I focus on the handful of passages that Li Chunfeng has added, excised, and rearranged on the basis of his sources. In doing so, several patterns emerge, the most notable among them being that Li has taken Shen Yue’s 沈約 (441–513) regressivist history of ‘heaven’s form’ (tianti 天體) cosmology in the Song shu and rearranged it, without acknowledgement, into a progressivist argument against its author. This and other evidence of Li Chunfeng’s editorial hand serves as a reminder of how what we often treat as a reference work should be read more carefully as a piece of historiographical argumentation.Le « Tianwen zhi » 天文志 (traité sur les Signes célestes) est un genre répétitif et fracturé. La plupart du contenu d’un traité à l’autre est le même, et la structure qu’ils présentent (historique, catalogue d’étoiles, annales d’observations de phénomènes célestes) les rendent difficiles à lire de manière globale. Afin de comprendre le rôle de Li Chunfeng 李淳風 (602–670) dans la rédaction du « Tianwen zhi » du Sui shu 隋書, la présente étude recours à la collation. En isolant les passages du traité du Sui shu que l’on retrouve mot pour mot dans ceux du Jin shu 晉書, du Song shu 宋書 et du Han shu 漢書, je mets l’accent sur ce que Li Chunfeng a ajoutés, enlevés et réarrangés par rapport à ses sources. Ce faisant, on constate quelques tendances dans son œuvre. La plus notable d’entre elles est le fait que Li Chunfeng a repris du Song shu de Shen Yue 沈約 (441-513) son histoire pessimiste de la régression de la cosmologie de la « forme du Ciel » (tianti 天體) depuis le temps des Sages, et l’a réarrangée, sans le dire, en un discours sur le progrès humain dirigé contre son auteur. Cet indice, ainsi que d’autres éléments du travail éditorial de Li Chunfeng, doivent nous rappeler que ce que nous voyons souvent comme un simple ouvrage de référence devrait être lu comme l’une des pièces d’un débat historiographique
Nurses and Holistic Modalities
No full textHolistic nursing practices holism and holistic modalities to create a healing space and optimize the healing process. Holistic nurses employ a complementary and integrative focus in their work and help patients access their greatest healing potential. This article supports that nursing professionals embrace acupuncture and alternative therapy as a great gift that inspire them to extend their already extraordinary healing power. An overview of the history of Traditional Chinese Medicine and the development and milestones of acupuncture and moxibustion in past dynasties is presented. In particular, the development of Traditional Chinese Medicine and acupuncture in the last 20 years, as well as how social and economic conditions have impacted their expansion, is discussed
Improving collaborative video recommendation: methods addressing the data sparsity
No full textPh.D.Recommender systems are becoming increasingly indispensable nowadays in solving the information overload problem and providing users with personalized information and services, such as video recommendation in Youtube and Netix. Collaborative Filtering (CF) is one of the most widely used techniques, which predicts a user's interest from feedbacks of similar users or items. However, it is challenging to achieve accurate recommendation for users with little or no historical feedback, known as data sparsity problem. The aim of this thesis is to improve the performance of collaborative (CF-based) video recommendation by addressing the data sparsity problem.In this thesis, we first propose a social-group-based algo rithm to produce personalized video recommendation by ranking candidate videos from the groups a user is affiliated with. We implement the algorithm in the Tencent Video service system, and the online A/B testing results show that the proposed algorithm not only improves the click-through rate, but also recommends more diverse videos.Then, we propose another method to enhance the neighborhood based collaborative filtering by using a hybrid tree-encoded linear model to predict how like-minded two users are in viewing videos, based on their demographic, social, and temporal information. Besides, tag-based user profiling is adopted to measure user-user similarity. The experimental results validate the strength of our prediction model and tag-based user profiling scheme in practical recommender systems.Thirdly, we propose a transfer learning model by using multisite information to address the data sparsity problem. Specifically, we propose a generative model of Multi-site Probabilistic Factorization (MPF) to model user preferences in multiple video websites. Extensive recommendation validation shows that the MPF model can significantly improve recommendation accuracy compared to several other state-of-the-art factorization models. Our findings provide insights on the value of integrating user data from multiple sites, which stimulates potential collaborations between video service providers. Furthermore, to justify the general applicability of this model and understand the underlying market forces that lead to what we observe, we model user demand and ISP strategies based on evidence from data, and arrive at a two-CP-two-video-type game that can be used to explain the observed market equilibrium with multiple service providers.推薦系統在解決信息過載問題和提供個性化信息服務中正日益變得不可或缺，例如Netflix和Youtube中的視頻推薦。協同過濾是最常用的推薦方法之一，它通過相似用戶的行為或對相似物品的反饋來預測目標用戶的興趣。然而，對於沒有或只有很少歷史喜好反饋信息的用戶來說，做出準確的推薦仍是一個挑戰。這種挑戰被稱之為數據稀疏性問題。本論文的目標是研究如何通過解決數據稀疏性問題來提高協同過濾視頻推薦的效果。在本論文中，我們首先提出一種基於社交群的算法來提供個性化視頻推薦。該算法是通過對來自目標用戶參與的社交群內的候選視頻進行排序來生成推薦結果。我們將該算法實現在騰訊視頻服務系統中，並進行了在線的A/B測試實驗，實驗結果表明該推薦算法不僅可以提高點擊率，還可以推薦更多樣性的視頻結果。此外，我們又提出一種增強基於鄰域的協同過濾的方法。該方法使用一個基於人口統計學、社交和歷史信息的混合樹模型編碼線性模型來預測兩個用戶在觀影方面的相似度。同時，我們採用基於標簽的用戶畫像來測量用戶間的興趣相似度。實驗結果驗證了我們的預測模型以及基於標簽的用戶畫像方法在實際推薦系統中的有效性。我們提出的第三種方法是用多站點遷移學習來解決數據稀疏性問題。具體來說，我們提出了一個生成模型——多站點概率矩陣分解，來對用戶在多個視頻網站的觀影偏好進行建模。大量推薦系統實驗的實驗結果表明，該模型相比于其他幾個先進的矩陣分解方法在推薦準確性上有顯著提升。我們的這一結果可以為多站點數據合併協作的價值提供借鑒。此外，為了證明該模型的通用性以及理解視頻市場的潛在運行機制，我們基於從實際數據中獲得的線索對用戶需求和視頻服務商策略進行了建模。進而，我們得到了一個雙內容提供方雙視頻類型的博弈問題，該博弈問題的分析結果可以用來解釋我們所觀察到的視頻市場平衡特點。Yang, Chunfeng.Thesis Ph.D. Chinese University of Hong Kong 2017.Includes bibliographical references (leaves 158-172).Abstracts also in Chinese.Title from PDF title page (viewed on 21, October, 2019)
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