温度程序控制铁矿球团反应动力学

铁矿石还原是气——固多相反应中具有代表性的反应。反应过程随温度因素的变化，引起还原性能发生很大改变以及反应的多级性，使得还原反应非常复杂。因此，进行还原过程动力学研究并建立还原过程数学模型具有重要意义。本文通过添加锯末，焙烧获得了不同孔隙度的球团；通过对还原球团剖面的电子显微镜及能谱测定，论证了铁矿石球团进行还原的型式；通过控制还原气氛，实现铁矿石球团的逐段还原，求出了各阶段的反应速度常数及反应活化能；通过控制还原过程升温速度，完成了变温条件下铁矿石球团的还原实验，并由一个变温实验结果求得反应速度常数及反应活化能，反应速度常数与温度的关系符合Arrhenius公式。由此，研究了温度对铁矿石还原性能及还原反应进行了方式的影响。研究了未反应核模型和温度变化模型，并编制了求解模型的计算机程序。通过将模型结果与实验结果的比较，得出了模型对于铁矿石球团变温还原过程的适用性与适用条件。此外，本文还研究了沿不同的升温曲线进行还原时，通过变温模型计算得到按不同升温曲线进行还原时反应的还原曲线，反应速率线及反应速度常数曲线

温度程序控制铁矿球团反应动力学

本文完成了升温条件下不同孔隙度铁矿石球团的还原实验,并由一个实验结果直接求得过程的 Arrhenius 关系式;对未反应核收缩模型及变温模型在变温过程中的适用性加以研究,进一步提出其适用条件.此次,将变温模型推广应用到任何升温曲线的还原过程中

A Method of Biomedical Knowledge Discovery by Literature Mining Based on SPO Predications: A Case Study of Induced Pluripotent Stem Cells

A large amount of valuable knowledge is hidden in the vast biomedical literatures, publications, and online contents. In order to identify the previously unknown biomedical knowledge from these resources, we propose a new method of knowledge discovery based on SPO predications, which constructs a three-level SPO-semantic relation network in the considered area. We carry out the experiments in the area of induced pluripotent stem cells, and the experimental results indicate that our proposed method can significantly discover the potential biomedical knowledge in this area, and the performance analysis of this method sheds lights on the ways to further improvements

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies