27,433 research outputs found
Global anti-dumping incident against China Steel
No full textThe global steel anti-dumping incidents, which are aimed at China. From September 1, 2010 to December 31, 201
Global anti-dumping incident against China Steel
No full textThe global steel anti-dumping incidents, which are aimed at China. From September 1, 2010 to December 31, 201
Image Selection Code for Automated Dicentric Chromosome Identification
No full text<p>Image Selection for Metaphase Images in Automated Dicentric Chromosome Identification<br>
Author: Yanxin Li, Jin Liu<br>
Correspondence: Peter K. Rogan, Ph.D, [email protected]</p>
<p>This code is for the following paper:<br>
Accurate cytogenetic biodosimetry through automated dicentric chromosome curation and metaphase cell selection<br>
Jin Liu, Yanxin Li, Ruth Wilkins, Farrah Flegal, Joan H. Knoll, Peter K. Rogan</p>
<p>List of files and folders:<br>
DemoSample1: metaphase images for DemoSample1<br>
DemoSample2: metaphase images for DemoSample2<br>
DemoSample1.adcisample: ADCI sample file generated by ADCI software for DemoSample1.<br>
DemoSample2.adcisample: ADCI sample file generated by ADCI software for DemoSample2.<br>
ADCI sample files contain area and filters information of images which is required by Image Selection code.<br>
DemoScript.py: Image Selection code</p>
<p>Prerequisites for the Image Selection code:<br>
Python 2. Code is tested in Python 2.7.6<br>
NumPy</p>
<p>How to run:<br>
Run DemoScript.py. Make sure DemoSample1.adcisample and DemoSample2.adcisample are in the same folder as DemoScript.py.</p>
<p>Results:<br>
For each sample, the code will display image names in descending order of quality, measured by Group Bin Distance or Combined Z Score (using weight 434521).<br>
To evaluate the sorting, view metaphase images in DemoSample1 or DemoSample2 folders.</p>
Liu Kang
No full textLiu Kang: Essays on Art and Culture is a testament to the inexorable passion of an artist who knew no boundaries. This collection of essays, which Liu Kang wrote over 44 years, offers an insight into the artist’s myriad interests as well as his contributions as a first generation Nanyang artist and art educator. Translated into English for this volume, Liu Kang’s essays are accompanied by commentaries and photographs of the artist-author and his subjects
Improving ADM1 predictions via Bayesian analysis for continuous anaerobic digestion
No full textThe Anaerobic Digestion Model No.1 (ADM1) application for continuous anaerobic digestion is often constrained by challenges in reliably calibrating model parameters, especially when long-term data are unavailable. This study presents a Bayesian inference-based framework that enables ADM1 calibration using only initial-stage digester performance data. A custom Python implementation was developed, integrating modules for global sensitivity analysis, Bayesian calibration and parameter identifiability evaluation. Key microbial and ionic parameters were refined through Random Balance Designs–Fourier Amplitude Sensitivity Test (RBD-FAST), identifying sugar/acetate degraders and cation/anion levels in the inoculum as critical drivers of steady-state performance.
With informative priors derived from similar ADM1 studies, the model was calibrated with less than two hydraulic retention times of data and validated against steady-state performance data. It predicted pH and total chemical oxygen demand (tCOD) with mean percentage errors of 1.10 % and 5.38 % respectively. Biogas production trends were captured within the 95 % credible interval for 63.14 % of observations. Compared to uniform priors, the Bayesian approach with informative priors improved predictive accuracy. Jensen-Shannon divergence revealed that hydrolysis rates is the most identifiable for thermally hydrolysed sludge.
Unlike conventional ADM1 calibration approaches that require long-term steady-state data, this Bayesian framework achieves reliable predictions using only early-stage observations. By enabling accurate simulation of organic contaminant degradation and system stability from limited data, the framework supports risk-informed design and operation of anaerobic digesters and offers a solution for data-scarce industrial settings to improve safety, sustainability, and optimisation.Journal of Environmental Managemen
Supplemental Material, sup_1 - Iron Dyshomeostasis Induces Binding of APP to BACE1 for Amyloid Pathology, and Impairs APP/Fpn1 Complex in Microglia: Implication in Pathogenesis of Cerebral Microbleeds
No full textSupplemental Material, sup_1 for Iron Dyshomeostasis Induces Binding of APP to BACE1 for Amyloid Pathology, and Impairs APP/Fpn1 Complex in Microglia: Implication in Pathogenesis of Cerebral Microbleeds by Li Gong, Xiangzhu Tian, Jing Zhou, Qiong Dong, Yan Tan, You Lu, Jiayan Wu, Yanxin Zhao, and Xueyuan Liu in Cell Transplantation</p
FP Filter code for Automated Dicentric Chromosome Identification
No full text<p>MATLAB code and sample data for calculating FP filter scores of chromosomes segmented by ADCI, proposed in the following paper:</p>
<p>Authors: Jin Liu, Yanxin Li, Ruth Wilkins, Farrah Flegal, Joan H. Knoll, Peter K. Rogan. Title: Accurate cytogenetic biodosimetry through automated dicentric<br>
chromosome curation and metaphase cell selection.<br>
Journal: F1000 Research<br>
Year: 2017</p>
<p>Please cite this paper when using this software.</p>
<p>Thresholding of chromosomes based on outputted filter scores can identify and reduce the number of false positive dicentric chromosomes detected by automated<br>
machine learning methods.</p>
<p>Authors: Jin Liu, Yanxin Li<br>
Date: July 21, 2017<br>
Correspondence: [email protected]</p>
<p>Usage:<br>
Open and run FP_filter_demo.m in MATLAB R2014a to process data and output HTML files containing filter scores.</p>
<p>Input for the script are folders containing .mat files, where each file contains the ADCI chromosome structure information of one metaphase cell image. A<br>
sample of 10 such mat files from 3 datasets mentioned in the paper (HC_low, HC_high, CNL_low) are included in the Data folder for demo purposes.</p>
<p>Output for the script are .html files stored in the designated output folder. Within the output folder are a variable number of folders named "1", "2", etc.<br>
corresponding to the number of input folders provided. Within each such folder are 4 html files listing the filter scores of false negative dicentrics (FN),<br>
false positive dicentrics (FP), true negative dicentrics (TN), and true positive dicentrics (TP). Each html file contains a table, where each row corresponds<br>
to one chromosome, and columns include information such as the image name, location of the chromosome, the 8 filter scores described in the paper, cropped<br>
images of the chromosome, and a visualization of the chromosome width profile.</p>
<p>To process either 3 demo datasets, uncomment the corresponding line at the beginning of FP_filter_demo.m, as directed in the code comments. </p>
<p>Customizable script parameters include output_folder, which controls the output directory; analysed_dirs, which states the input folders containing .mat<br>
files; SVM_label, which labels the SVM used to classify the chromosomes; max_cap_TN, which limit the number of row entries in the TN file;<br>
separate_userscore_folder, which allows reference to a second set of .mat files to obtain user score information (the monocentric/dicentric classification<br>
score from human experts); userscore_dirs, which states the input folders of user score .mat files when separate_userscore_folder is enabled.</p>
<p>Dependencies:<br>
Chromosome skeletonization code is originally from ADCI v6.1; see the following paper:<br>
Subasinghe, A., Samarabandu, J., Li, Y., Wilkins, R., Flegal, F., Knoll, J. H. M., and Rogan, P. K. (2016) Centromere Detection of Human Metaphase Chromosome<br>
Images using a Candidate Based Method, F1000Research 5, 1565, 2016.<br>
This code in turn employs Bai's DCE skeleton pruning method, as described in:<br>
X. Bai, L. J. Latecki, and W.-Y. Liu: Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution. <br>
IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 29(3), pp. 449-462, 2007.</p>
Supplemental Material, Sup_1._mRS - Bridging Therapy Versus Direct Mechanical Thrombectomy in Patients with Acute Ischemic Stroke due to Middle Cerebral Artery Occlusion: A Clinical-Histological Analysis of Retrieved Thrombi
No full textSupplemental Material, Sup_1._mRS for Bridging Therapy Versus Direct Mechanical Thrombectomy in Patients with Acute Ischemic Stroke due to Middle Cerebral Artery Occlusion: A Clinical-Histological Analysis of Retrieved Thrombi by Li Gong, Xiaoran Zheng, Lijin Feng, Xiang Zhang, Qiong Dong, Xiaoyu Zhou, Haichao Wang, Xiaojun Zhang, Zhongwen Shu, Yanxin Zhao, and Xueyuan Liu in Cell Transplantation</p
Phoebus 10: A Journal of Art History
No full texttableOfContents: Homage to the Past: The Art of Yin Xiaofeng by Ralph Gabbard and Liu Liu.. pages 5-1
A pilot study of biomechanical and ergonomic analyses of risky manual tasks in physical therapy
No full textThe objective of this pilot study was to identify risk factors in physical therapy by performing quantitative ergonomic postural and biomechanical analyses of representative manual tasks. A total of 23 physical therapy students were recruited to perform six patient handling and joint mobilization tasks. Movement data were collected by a motion capture system. Biomechanical and ergonomic analyses were performed, including estimate of lumbar spine compression force, Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA). It was found that the low back compression forces of different transfer tasks were greater than the safety threshold. The ergonomic analysis showed that the three transfer tasks had high risk and the mobilization tasks had low to medium risk. Changes should be implemented to modify these body postures.
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