煤气储罐泄漏扩散模型及仿真

基于Fick扩散方程,建立了煤气储罐瞬间完全泄漏的无风情况下的动态扩散模型.根据气体储罐形状为圆柱,确定了介质瞬间完全泄漏后模型的初始条件和边界条件,然后通过坐标变换和傅立叶变换和适用于圆柱(Bessel)函数的Hankel变换,求出了此条件下扩散方程的解析解.根据风力对扩散过程的影响,在无风扩散方程的基础上建立了有风条件下的扩散模型并求取了解析解,然后以一50000m3(r=19m,h=40m)煤气储罐完全破裂后的气体扩散过程为例进行了模拟,模拟结果验证了模型的有效性.     

中国术语事业发展概况及思考

近些年来,中国术语事业取得了一定的发展,在相关成果公布出版、术语工作开展、科研立项、人才培养等方面都取得了一定的成绩。同时还存在国内外术语信息沟通不够,对于中外术语事业发展缺乏系统全面的研究,研究队伍没有形成较大影响力的合力,术语事业推进国家经济、社会发展的能力有待提高,术语学没有独立的学科地位,术语产业还处于起步阶段等问题。中国术语事业发展可考虑与国家政策、国际发展相结合,与科学研究、市场需求相结合。     

一种不确定区域间的方向关系模型

基于区间值及其运算性质给出了不确定区域间方向关系的表示及推理方法. 该方法不同于基于经典模糊集及其截集的方向关系模型, 利用区间值方向关系矩阵分析不确定区域间方向关系的隶属程度, 将不确定区域间的方向关系划分为不确定区域与不确定区域间的方向关系、 不确定区域与分明区域间的方向关系、 分明区域与不确定区域间的方向关系、 分明区域与分明区域的方向关系4种类型. 将分明区域作为不确定区域的特例统一处理.     

Incorporating textual and management factors into financial distress prediction: A comparative study of machine learning methods

Financial distress prediction (FDP) has been widely considered as a promising approach to reducing financial losses. While financial information comprises the traditional factors involved in FDP, nonfinancial factors have also been examined in recent studies. In light of this, the purpose of this study is to explore the integrated factors and multiple models that can improve the predictive performance of FDP models. This study proposes an FDP framework to reveal the financial distress features of listed Chinese companies, incorporating financial, management, and textual factors, and evaluating the prediction performance of multiple models in different time spans. To develop this framework, this study employs the wrapper-based feature selection method to extract valuable features, and then constructs multiple single classifiers, ensemble classifiers, and deep learning models in order to predict financial distress. The experiment results indicate that management and textual factors can supplement traditional financial factors in FDP, especially textual ones. This study also discovers that integrated factors collected 4 years prior to the predicted benchmark year enable a more accurate prediction, and the ensemble classifiers and deep learning models developed can achieve satisfactory FDP performance. This study makes a novel contribution as it expands the predictive factors of financial distress and provides new findings that can have important implications for providing early warning signals of financial risk.     

基于LMKL和OC-ELM的航空电子部件故障检测方法

针对航空电子部件故障样本获取困难以及检测准确率不高的问题,提出基于局部多核学习(localized multiple kernel learning, LMKL)和一类超限学习机(one-class extreme learning machine, OC-ELM)的故障检测方法。仅运用正常状态的小样本数据,给出了LMK-OC-ELM的数学表达形式,并在不同的门模型下推导了LMK-OC-ELM中局部核权重的优化方法;在获取局部核权重的基础上,定义了离线故障检测所需的统计检验量与阈值,以便工程实现。将所提方法应用于某型接收机,结果表明,在训练时间可控的前提下,与4种常见的一类分类(one-class classification, OCC)算法相比,所提方法可均衡地提高召回率、查准率和特异度,以LMK-OC-ELM-sig为代表,其在F1、曲线下方面积(area under curve, AUC)、G-mean和准确率4个指标上,比最近提出的局部多核异常检测(localized multiple kernel anomaly detection, LMKAD)方法分别提高了1.60%、1.57%、1.53%和2.23%。     

对称降冰片二烯二羧酸二酯的高选择性单水解

半酯是有机合成中非常重要的中间体,大体积对称二酯的选择性单水解高产率制备半酯的研究具有重要意义.本研究采用THF、DMSO、CH3CN作为共溶剂,在0℃碱溶液中将对称结构的降冰片二烯衍生物进行选择性单水解反应,考察了三种共溶剂比例、不同碱及碱的用量对水解反应的影响.结果表明,当共溶剂与H2O体积比为1∶10的情况下,T...     

An efficient algorithm to generate candidates in discovering frequent episodes

0 IntroductionData mining is widely used in many research fieldssuch as decision supporting systems[1], bio-informationanalysis[2]and knowledge engineering[3-5]. Most data col-lected from scientific experiments or telecommunicationnetworks have inherent sequential nature inthemand canthus be abstractly viewed as a sequence of events . Onebasic problemin miningsuchevent sequencesis discoveryof recurrent combinations of events , which are calledepisodes. Once frequent episodes are discovered,rul…     

Temperature modeling and control of Direct Methanol Fuel Cell based on adaptive neural fuzzy technology

Aiming at on-line controlling of Direct Methanol Fuel Cell （DMFC） stack, an adaptive neural fuzzy inference technology is adopted in the modeling and control of DMFC temperature system. In the modeling process, an Adaptive Neural Fuzzy Inference System （ANFIS） identification model of DMFC stack temperature is developed based on the input-output sampled data, which can avoid the internal complexity of DMFC stack. In the controlling process, with the network model trained well as the reference model of the DMFC control system, a novel fuzzy genetic algorithm is used to regulate the parameters and fuzzy rules of a neural fuzzy controller. In the simulation, compared with the nonlinear Proportional Integral Derivative （PID） and traditional fuzzy algorithm, the improved neural fuzzy controller designed in this paper gets better performance, as demonstrated by the simulation results.     

Lysosomal chymotrypsin B potentiates apoptosis via cleavage of Bid

We have reported that chymotrypsin B (CtrB) is not just a digestive enzyme but is also stored in lysosomes. Herein, we demonstrated a broad distribution of CtrB and explored the involvement of CtrB in apoptosis. Exposure of RH-35 cells to H₂O₂ or palmitate induced the redistribution of lysosomal CtrB into the cytoplasm as a result of lysosomal membrane permeabilization (LMP). Suppression of CtrB significantly blocked apoptosis, while overexpression of CtrB sensitized apoptosis markedly. CtrB could cleave Bid under neutral conditions. In RH-35 cells with Bid silenced, apoptosis induced by CtrB protein was attenuated, suggesting that CtrB mediates apoptosis of RH-35 cells mainly through processing Bid. Our data also suggest that LMP occurs earlier than mitochondrial outer membrane permeabilization; Bid activation initiated by caspase-8 might be reinforced by CtrB in consequence of LMP, which causes a positive feedback loop leading to the accumulation of tBid, and results in lysosome- and mitochondrion-dependent apoptosis.     

浅论绿色无锡建设中的绿化仿生问题

本文分析了城市绿化建设中存在的共性问题及可采取的对策,从生态系统生物生产、物质循环、能量流动、信息传递以及构建和谐种群关系5个方面论述了城市绿化应以模拟自然生态系统结构与功能为途径,并指出提高城市绿化仿生水平是实现绿色无锡建设目标的关键.