44,384 research outputs found
Xian xing jin na mi bang san jiao zhen lie zhong de ci deng li zi ti
No full textTao, Yuting = 綫性金納米棒三角陣列中的磁等離子體 / 陶煜庭.Thesis M.Phil. Chinese University of Hong Kong 2015.Includes bibliographical references.Abstracts also in Chinese.Title from PDF title page (viewed on 14, November, 2016).Tao, Yuting = Xian xing jin na mi bang san jiao zhen lie zhong de ci deng li zi ti / Tao Yuting
A Study of the Classical Landscape at the Wang River Villa of Wang Wei
No full textThe landscape of Wang Wei's Wang River Villa is examined by reviewing the essays and papers written about the poetical collaboration, the “Wang River Collection.” The purpose of this paper is to clarify the meaning of villa architecture in China. The author expects that this research will contribute to a mutual understanding between cultures. The villa was a Utopia for Wang. On the other hand, he was a pious Buddhist and Buddhistic concepts are reflected in the landscape. I consider the features of the classical landscape of Xie Lingyun and "Chu Ci," as written in “The Collection,” a reflection of the Buddhistic concept. When considering what the classics meant to Wang Wei, it is apparent that his villa is a representation of the classical landscape. It is not an imitation of the classical landscape, but a unique and original creation of art by Wang.departmental bulletin pape
Deep Bayesian survival analysis of rail useful lifetime
No full textReliable estimation of rail useful lifetime can provide valuable information for predictive maintenance in railway systems. However, in most cases, lifetime data is incomplete because not all pieces of rail experience failure by the end of the study horizon, a problem known as censoring. Ignoring or otherwise mistreating the censored cases might lead to false conclusions. Survival approach is particularly designed to handle censored data for analysing the expected duration of time until one event occurs, which is rail failure in this paper. This paper proposes a deep Bayesian survival approach named BNN-Surv to properly handle censored data for rail useful lifetime modelling. The proposed BNN-Surv model applies the deep neural network in the survival approach to capture the non-linear relationship between covariates and rail useful lifetime. To consider and quantify uncertainty in the model, Monte Carlo dropout, regarded as the approximate Bayesian inference, is incorporated into the deep neural network to provide the confidence interval of the estimated lifetime. The proposed approach is implemented on a four-year dataset including track geometry monitoring data, track characteristics data, various types of defect data, and maintenance and replacement (M&R) data collected from a section of railway tracks in Australia. Through extensive evaluation, including Concordance index (C-index) and root mean square error (RMSE) for evaluating model performance, as well as a proposed CW-index for evaluating uncertainty estimations, the effectiveness of the proposed approach is confirmed. The results show that, compared with other commonly used models, the proposed approach can achieve the best concordance index (C-index) of 0.80, and the estimated rail useful lifetimes are closer to real lifetimes. In addition, the proposed approach can provide the confidence interval of the estimated lifetime, with a correct coverage of 81% of the actual lifetime when the confidence interval is 1.38, which is more useful than point estimates in decision-making and maintenance planning of railroad systems.Railway Engineerin
Supplemental Material - Ensemble learning based on remote sensing data for monitoring agricultural drought in major winter wheat-producing areas of China
No full textSupplemental Material for Ensemble learning based on remote sensing data for monitoring agricultural drought in major winter wheat-producing areas of China by Lunche Wang, Yuefan Zhang, Xinxin Chen, Yuting Liu, Shaoqiang Wang and Lizhe Wang in Progress in Physical Geography: Earth and Environment</p
sj-pdf-1-ppg-10.1177_03091333221088018 – Supplemental Material for Prediction of winter wheat yield at county level in China using ensemble learning
No full textSupplemental Material, sj-pdf-1-ppg-10.1177_03091333221088018 for Prediction of winter wheat yield at county level in China using ensemble learning by Yuefan Zhang, Lunche Wang, Xinxin Chen, Yuting Liu, Shaoqiang Wang and Lizhe Wang in Progress in Physical Geography: Earth and Environment</p
First person – Yihua Wang
No full textFirst Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Yihua Wang is the first author on ‘Nuclear entry and export of FIH are mediated by HIF1α and exportin1, respectively’, published in Journal of Cell Science. Yihua is a Lecturer in Biological Sciences at the University of Southampton, studying cell signalling in lung fibrosis and cancer, drug target validation and gene function analysis
sj-pdf-1-iji-10.1177_03946320221086079 – Supplemental Material for Evodiamine suppresses the progression of non-small cell lung carcinoma via endoplasmic reticulum stress-mediated apoptosis pathway <i>in vivo</i> and <i>in vitro</i>
No full textSupplemental Material, sj-pdf-1-iji-10.1177_03946320221086079 for Evodiamine suppresses the progression of non-small cell lung carcinoma via endoplasmic reticulum stress-mediated apoptosis pathway in vivo and in vitro by Yuting Li, Yuming Wang, Xiaoqun Wang, Lulu Jin, Lu Yang, Jinli Zhu, Hongwu Wang, Fang Zheng, Huantian Cui, Xiaojiang Li and Yingjie Jia in International Journal of Immunopathology and Pharmacology.</p
Calibrating resistance factors of pile groups based on individual pile proof load tests
No full textPile load tests have been utilized to reduce the uncertainty of pile resistance, thus leading to a higher resistance factor used in the Load and Resistance Factor Design (LRFD). Previous studies have primarily focused on calibrating resistance factors for single piles based on load tests. This calibration hinges upon the resistance bias factor of single piles, defined as the ratio of measured resistance to predicted resistance. Due to the redundancy in the pile group system, it is conventionally assumed that if the individual piles within the group achieve a lower reliability index (e.g., 2.0–2.5), the pile group as a whole attains the target reliability index of 3. However, the approach is empirical as it does not consider system redundancy directly. Moreover, this empirical approach disregards the correlation between resistance bias factors of individual piles, which is inherently influenced by the spatial variability of soils. In this study, the random finite difference method (RFDM) is employed to evaluate the correlation between resistance bias factors of individual piles in spatially variable soils. The resultant correlation matrix is subsequentially employed in Bayes’ theorem to update resistance bias factors using individual pile load test results and their corresponding test locations. The updated resistance bias factors are then used for the direct calibration of resistance factors for pile groups within the framework of LRFD. A pile group subject to vertical loading in undrained clays is adopted for illustration. Comparative analyses between the proposed approach and the empirical approach demonstrate that the latter tends to overestimate the resistance factor. Furthermore, the proposed approach enables the determination of optimal locations for conducting subsequent load tests based on previous test results.</p
Supporting the research process through expanded library data services
No full textPurpose – The purpose of this paper is to describe how the authors gained a better understanding of the variety of library users' data needs, and how gradually some new data services were established based on current capabilities.Design/methodology/approach – This paper uses a case study of the new data services at the John Cotton Dana Library, at Rutgers, The State University of New Jersey, Newark campus, to demonstrate the possible ways to extend data reference services and provide data computing services. A content analysis of services records shows how each user group falls into the multiple data services levels and subcategories.Findings – Library users can be classified into many different categories, and each of these may have different needs. Research centers might have big projects involving data gathering and applications where a librarian can mainly provide consultation; while an individual faculty member or student might need the librarians as research partners, with help for their specific problems. Computing data services can involve group training and statistical analysis assistance, where researchers need emergent help. Data librarians can take various opportunities for data management education, thereby gradually raising awareness and cultivating better research habits among researchers.Originality/value – Library data computing services can make unique contributions to faculty and students' research and study. Institution, library and users' interaction determines the levels and extent of data services and is generalized from the description and analysis of typical data service examples. Classic concept of data services levels is applied to a concrete case of data services program, and sub-categories of each data services level and user types are developed based on the authors' services record.This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here at the RUcore: Rutgers University Community Repository . Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.Peer reviewe
The supporting information for Spatial Changes of Late Quaternary Slip Rates along the Gyaring Co Fault: Implications for Strain Partitioning and Deformation Modes in Central Tibet
No full textAuthor: Wang Duo, Hong Chang, Gongming Yin, Fei Han, Zebin Mao, Jinhua Du Wenjun Zheng and Xulong Wang
Corresponding author: Xulong Wang ([email protected])
Contents of this file
Text S1
Figures S1 to S3
Table S1
Introduction
The supporting information including sampling, pretreatments, all details of Optically Stimulated Luminescence (OSL) dating and collected rates and ages along strike-slip and normal faults in central Tibet.
Text S1 shows detailed OSL dating processing and analysis procedures.
Figures S1, S2 and S3 show OSL dating details at Kong Co, Aruo and Nacha site, respectively.
Table S1 shows the rates and ages of strike-slip and normal faults and their corresponding references in central Tibet
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