877 research outputs found
sj-docx-1-tct-10.1177_15330338221074501 - Supplemental material for A Comprehensive Evaluation of the Application of the Halcyon(2.0) IMRT Technique in Long-Course Radiotherapy for Rectal Cancer
No full textSupplemental material, sj-docx-1-tct-10.1177_15330338221074501 for A Comprehensive Evaluation of the Application of the Halcyon(2.0) IMRT Technique in Long-Course Radiotherapy for Rectal Cancer by Jiajun Zheng, Yuqing Xia and Li Sun in Technology in Cancer Research & Treatment</p
sj-docx-1-jbm-10.1177_03936155221078602 - Supplemental material for Prevalence of elevated Anti-p53 in Chinese patients with upper gastrointestinal or colorectal cancer
No full textSupplemental material, sj-docx-1-jbm-10.1177_03936155221078602 for Prevalence of elevated Anti-p53 in Chinese patients with upper gastrointestinal or colorectal cancer by Min Wang, Suhong Xie, Xiang Gao, Jingjing Feng, Minjie Deng, Jiajun Sun, Ying He, Horst Donner and
Renqun Lu, Lin Guo in The International Journal of Biological Markers</p
sj-docx-1-tau-10.1177_17562872231213720 – Supplemental material for Association of obesity and different metabolic status with prognosis in patients with bladder cancer: a retrospective cohort study
No full textSupplemental material, sj-docx-1-tau-10.1177_17562872231213720 for Association of obesity and different metabolic status with prognosis in patients with bladder cancer: a retrospective cohort study by Yingchun Dong, Yiping Cheng, Honglin Guo, Jiaxing Sun, Junming Han, Fang Zhong, Qihang Li, Dawei Wang, Wenbin Chen, Xiude Fan and Jiajun Zhao in Therapeutic Advances in Urology</p
Numerical convergence of pre-initial conditions on dark matter halo properties
No full text© 2021 The Author(s)Published by Oxford University Press on behalf of Royal Astronomical SocietyGenerating pre-initial conditions (or particle loads) is the very first step to set up a cosmological N-body simulation. In this work, we revisit the numerical convergence of pre-initial conditions on dark matter halo properties using a set of simulations which only differs in initial particle loads, i.e. grid, glass, and the newly introduced capacity constrained Voronoi tessellation (CCVT). We find that the median halo properties agree fairly well (i.e. within a convergence level of a few per cent) among simulations running from different initial loads. We also notice that for some individual haloes cross-matched among different simulations, the relative difference of their properties sometimes can be several tens of per cent. By looking at the evolution history of these poorly converged haloes, we find that they are usually merging haloes or haloes have experienced recent merger events, and their merging processes in different simulations are out-of-sync, making the convergence of halo properties become poor temporarily. We show that, comparing to the simulation starting with an anisotropic grid load, the simulation with an isotropic CCVT load converges slightly better to the simulation with a glass load, which is also isotropic. Among simulations with different pre-initial conditions, haloes in higher density environments tend to have their properties converged slightly better. Our results confirm that CCVT loads behave as well as the widely used grid and glass loads at small scales, and for the first time we quantify the convergence of two independent isotropic particle loads (i.e. glass and CCVT) on halo properties.11Nsciescopu
sj-docx-1-gpi-10.1177_13684302211051619 – Supplemental material for A world together: Global citizen identification as a basis for prosociality in the face of COVID-19
No full textSupplemental material, sj-docx-1-gpi-10.1177_13684302211051619 for A world together: Global citizen identification as a basis for prosociality in the face of COVID-19 by Zhechen Wang, Jolanda Jetten, Niklas K. Steffens, Belén Álvarez, Sarah V. Bentley, Bruno Gabriel Salvador Casara, Charlie R. Crimston, Octavia Ionescu, Henning Krug, Hema Preya Selvanathan, Porntida Tanjitpiyanond, Susilo Wibisono, Shuting Chen, Jiajun Wang, Xin Zhang and Shijin Sun in Group Processes & Intergroup Relations</p
Dark matter haloes in interacting dark energy models: Formation history, density profile, spin, and shape
No full text© 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.The interacting dark energy (IDE) model, which considers the interaction between dark energy and dark matter, provides a natural mechanism to alleviate the coincidence problem and can also relieve the observational tensions under the ΛCDM model. Previous studies have put constraints on IDE models by observations of cosmic expansion history, cosmic microwave background, and large-scale structures. However, these data are not yet enough to distinguish IDE models from ΛCDM effectively. Because the non-linear structure formation contains rich cosmological information, it can provide additional means to differentiate alternative models. In this paper, based on a set of N-body simulations for IDE models, we investigate the formation histories and properties of dark matter haloes and compare with their ΛCDM counterparts. For the model with dark matter decaying into dark energy and the parameters being the best-fitting values from previous constraints, the structure formation is markedly slowed down, and the haloes have systematically lower mass, looser internal structure, higher spin, and anisotropy. This is inconsistent with the observed structure formation, and thus this model can be safely ruled out from the perspective of non-linear structure formation. Moreover, we find that the ratio of halo concentrations between IDE and ΛCDM counterparts depends sensitively on the interaction parameter and is independent of halo mass. This can act as a powerful probe to constrain IDE models. Our results concretely demonstrate that the interaction of the two dark components can affect the halo formation considerably, and therefore the constraints from non-linear structures are indispensable.11Nsciescopu
Effects of Natural Aging and Discontinuous Cyclic Loading on High Cycle Fatigue Behavior of Steels
No full textMetallic components may not be used immediately and are stored for several months or years after fabrication in some cases, which experience long term natural aging. Moreover, the fatigue beared components commonly suffer discontinuous cyclic loadings in service. In this paper, the effects of natural aging and discontinuous loading on high cycle fatigue life and failure mechanism were investigated through rotating bending fatigue tests. The long term natural aging (e.g., more than 20,000 h) reduced the fatigue life of both 25CrMo4 and 30CrMnSiA steels, and this effect was irrespective of the roughness of the specimen surface. The effect of natural aging on the failure mechanism was related to the microstructure of materials. The natural aging promoted the probability of multi site crack initiation for 25CrMo4 steel, but had no influence on the crack initiation mode of 30CrMnSiA steel. The discontinuous cyclic loading had no harmful influence on the fatigue life of 25CrMo4 steel, and it had no influence on the failure mechanism. The specimens under continuous and discontinuous cyclic loadings both failed from single site crack initiation or multi site crack initiation at the specimen surface
Tian ti wu li yu yu zhou xue an wu zhi ke ti yan jiu
No full textPh.D.The ACDM model has been regarded as the standard model of cosmology. In the ACDM model, dark matter contribute about 25% of the total energy of the Universe today, but we still know nothing about the nature of dark matter. In this thesis, I will introduce several different Topics in Dark Matter Astrophysics and Cosmology, aiming to find out the nature of dark matter from different aspects. I studied percolation analysis in the cosmic web, which provides a new method to compare simulation with observation from the view of cosmic web and large scale structure. I proposed the S-bb relation as a measurable relation for the comparison, and studied it in detail by N-body simulation. I proposed a new simulation technique to perform N-body simulation in the Fuzzy Dark Matter (FDM) model, which is highly effcient. I have performed several N-body simulations of the FDM model, verified my method by comparing with previous studies. My simulations showed that the quantum effect existing in this model plays a non-trivial role in structure formation. I investigate this model as an example for the discussion of the nature of dark matter.ACDM模型在現代宇宙學中被認為是標準的宇宙學模型。根據現有的觀測擬合該模型認為，暗物質構成了宇宙總能量的25%，但是我們對於暗物質的本質知之甚少。在本論文中，我將介紹幾個不同的關於暗物質天體物理和宇宙學的課題的研究情況，試圖從不同的方面尋找暗物質的本質。我研究了應用於宇宙網絡的逾滲分析，逾滲分析提供了一種新的通過宇宙網絡和宇宙大尺度結構比較模擬結果和觀測結果的方法。我提出了使用S-bb關係作為一種可測量量用與這種比較，並且利用多體模擬進行了深入的研究。本論文中，我還提出了一種新的非常高效的多體模擬技術，可以用與模擬模糊暗物質（FDM）模型。我進行了一系列模糊暗物質模型的多體模擬，通過和之前的研究比對確認了技術上的一致性。同時我的模擬結果揭示出，在模糊暗物質模型中，量子效應對於結構形成有著不一般的效果。通過研究這種粒子模型，我將它作為一個對暗物質粒子本質研究的粒子。Zhang, Jiajun = 天體物理與宇宙學暗物質課題研究 / 張佳駿.Thesis Ph.D. Chinese University of Hong Kong 2017.Includes bibliographical references (leaves 134-150).Abstracts also in Chinese.Title from PDF title page (viewed on 18, October, 2019).Zhang, Jiajun = Tian ti wu li yu yu zhou xue an wu zhi ke ti yan jiu / 張佳駿
Hardware Implementation of Number Inversion Function
No full textNowadays, number inversion is of great significance and a complex arithmetical operator, especially the implementation in hardware. It provides a higher speed performance and lower power consumption. Initially, the conversion of the inputs to floating-point numbers contains sign, exponent, and mantissa parts. The scope of the project is to perform an approximation of the number inversion function. In this paper, the number inversion function carried out by two methods: one based on Harmonized Parabolic Synthesis and the other one on an unrolled Newton-Raphson algorithm. It is worth mentioning that the implementation of these two methods performed as an Application Specific Integrated Circuit using a 65nm Complementary Metal Oxide Semiconductor technology with Low Power High Threshold Voltage transistors. Furthermore, the investigation and comparison for various aspects such as accuracy, error behavior, chip area, power consumption, and performance for both methods are realizable.How to Calculate Number Inversion Jiajun Chen and Jianan Shi Mar. 2016 Number inversion is of great significance and a complex arithmetical operator, especially the implementation in hardware. How to implement it in hardware? How to reduce chip area and power consumption? How is its speed performance? Non-linear operations such as sine, logarithmic, exponential and number inversion functions have been widely applied. If you were asked to calculate the inversion of a number, you would say, “What a piece of cake! Give me a pen!” It is simple in software implementation as well. But what about precision and speed? For some high precision and high-speed applications, software implementation are insufficient. Therefore, hardware implementations are worth considering. In this study, Harmonized Parabolic Synthesis (HPS) method is one method to be taken into consideration. This method is put forward by Erik Hertz and Peter Nilsson based on Parabolic Synthesis. Parabolic Synthesis, is to apply an approximation to the required function to avoid complex operations such as divisions in hardware. It is a new method with high speed performance and promising short delay. It contains three steps, pre-processing, processing and post-processing. By combining with a synthesis of parabolic functions, the target function can be approximated. The improved method based on parabolic synthesis, HPS, required only two sub-functions, which results in better performance and shorter delay. The most interesting part is in the second sub-function. There is a LUT in the second sub-function. If we increase the size of the LUT and implement it in hardware, it will result in smaller area and higher speed. Surprised? That is because the design with larger LUT has smaller multipliers and smaller adders to meet the same accuracy requirement. The other method used in this study is Newton-Raphson (NR) method. It is a method named after Isaac Newton and Joseph Raphson to find approximations to the roots of a real-valued function. This method is hardware-friendly. A LUT is often required to select a start value. It is important for the start value to be as close as possible to the true result. Several iterations would be needed to meet the precision requirement. More iterations yield smaller sizes of the LUTs. This is a trade-off between the number of iterations and size of LUTs. In this study, we implement HPS and NR method for number inversion both in software and in hardware. Furthermore, various factors such as accuracy, error behavior, chip area, power consumption, and performance are investigated and compared. Interested? Hardware Implementation of Number Inversion Function, with author Jiajun Chen and Jianan Shi focusing on this field and described these in detail. Reference to thesis
RibFrac Dataset: A Benchmark for Rib Fracture Detection, Segmentation and Classification (Test Set)
No full textRibFrac dataset is a benchmark for developping algorithms on rib fracture detection, segmentation and classification. We hope this large-scale dataset could facilitate both clinical research for automatic rib fracture detection and diagnoses, and engineering research for 3D detection, segmentation and classification.
This is the Test Set of RibFrac dataset, including 160 CTs and the corresponding annotations. Files include:
ribfrac-test-images.zip: 160 chest-abdomen CTs in NII format (nii.gz)
Note that only the images are released; the corresponding ground truth labels are not available. Check the MICCAI 2020 RibFrac Challenge website to evaluate your algorithm.
If you find this work useful in your research, please acknowledge the RibFrac project teams in the paper and cite this project as:
Liang Jin, Jiancheng Yang, Kaiming Kuang, Bingbing Ni, Yiyi Gao, Yingli Sun, Pan Gao, Weiling Ma, Mingyu Tan, Hui Kang, Jiajun Chen, Ming Li. Deep-Learning-Assisted Detection and Segmentation of Rib Fractures from CT Scans: Development and Validation of FracNet. EBioMedicine (2020). (DOI)
or using bibtex
@article{ribfrac2020,
title={Deep-Learning-Assisted Detection and Segmentation of Rib Fractures from CT Scans: Development and Validation of FracNet},
author={Jin, Liang and Yang, Jiancheng and Kuang, Kaiming and Ni, Bingbing and Gao, Yiyi and Sun, Yingli and Gao, Pan and Ma, Weiling and Tan, Mingyu and Kang, Hui and Chen, Jiajun and Li, Ming},
journal={EBioMedicine},
year={2020},
publisher={Elsevier}
}
The RibFrac dataset is a research effort of thousands of hours by experienced radiologists, computer scientists and engineers. We kindly ask you to respect our effort by appropriate citation and keeping data license.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
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