Research on financial crises problems of listed companies based on Logistic Model

竞争激烈的市场经济环境在孕育着发展机遇的同时，也带来了更多的风险和挑战。财务危机预警的研究在国内外受到了广泛的关注，企业陷入财务危机不但给企业带来了巨大的损失，导致企业破产，其连锁反应甚至会影响到整个金融体系，直至影响整个资本市场的稳健运行。因此，建立财务危机预警模型，不但具有较高的学术价值，而且有着巨大的社会应用价值。本文首先主要介绍了国内外财务危机预警理论和方法的研究成果及现状，对具有代表性的财务危机预警模型进行了评述，并指出了现有财务危机预警模型的不足之处和后续展望。然后，考虑到数据的公开性和易得性，本文将危机上市公司作为研究对象，在大量文献资料的基础上，结合我国证券市场的特点，把危机界...Competitive market economy is breeding development opportunities, while it also brings more risks and challenges. The study on failure of companies has gained extensive attention both in the country and abroad. Financial difficulties brings not only huge losses, leads to bankruptcy for enterprises, but also the chain reaction even will affect the entire financial system, up to affect the stability...学位：会计硕士院系专业：管理学院会计系_会计硕士学号：X200915709

Research on facial spectrum and color characteristics of five-zang disease status

目的:观察疾病状态人群面色光谱色度情况,为疾病状态五脏病评价提供可供依据。方法:采用日产柯尼卡美能达CM-2600d分光测色仪,观测健康组(183例)、疾病组(370例)额部、眉间部、鼻部、下颏、左右颧部、左右眼胞8处明亮度l、红光度A、黄光度b、饱和度C值及波长段(400~700nM)下的面色反射率值等指标,并据中医理论对疾病状态进行五脏病位分析。结果:疾病组l值显著低于健康组,b、C值均显著高于健康组;疾病组各波长段下反射率显著低于健康状态组(P<0.05)。疾病组除左右眼胞外的6个位点间的l、A、b、C值有显著性差异(P<0.05),不同点位有其特异性的色度变化特征。疾病组五脏病各组光谱色度特征比较有显著差异(P<0.05),结果与中医面部脏腑五色理论在一定程度上相符合。结论:运用光谱色度测定方法,可以作为诊断疾病状态五脏病的重要指标。Objective: To observe disease status facial spectrum and color,providing good quantitative basis for disease assessment.Methods: We gathered the facial color information in health(183) and disease groups(370) including L,a,b,C values and reflection of different wavelengths in 400-700nm with CM-2600D spectral photometric color measuring instrument on 8 points including frontal part,glabellas nose,mandible two cheeks and eye cells and analysized disease status five-zang positioning according to the principle of TCM syndrome differentiation.Results: L value of Disease group was lower than health status group and b,C values were higher than health status group,reflection of different wavelengths of disease group were lower than health group(P<0.05).6 points in disease group between loci L,a,b,C values with varying degrees of significant differences(P<0.05).Different point had its own specificity facial complexion variation characteristics.Facial spectrum and color of each five-zang disease group had significant difference through comparion of facial complexion.To a certain extent the result was consistent with TCM facial organs Five-color theory.Conclusion: There existed diagnostic value in distinguishing five-zang disease status in some degree by spectral photometric color measuring technique.国家科技支撑计划(No.2012BAI37B06);国家高技术研究发展计划(863计划)资助项目(No.2008AA02Z407);国家自然科学基金资助项目(No.30873463;No.81173200);国家自然基金青年项目(No.81102558);上海市重点学科(第三期)建设项目(No.S30302;No.S30303)---

Carbon nanotube sponges filled sandwich panels with superior high power continuous wave laser resistance

Effect of highly porous and lightweight carbon nanotube sponges on the high power continuous wave laser ablation resistance of the sandwich panel was investigated experimentally. As a comparison, thermal responses of monolithic plate, carbon nanotube film filled sandwich panel, unfilled sandwich panel and carbon nanotube sponge filled sandwich panel subjected to continuous wave laser irradiation were analyzed. Experimental results showed that the laser resistance of the carbon nanotube filled sandwich panel is obviously higher than the unfilled structure. The added failure time of the sandwich panel by filling the cores with the carbon nanotube sponge of unit mass was about 18 times and 33 times longer than that by filling with the conventional ablative and insulated material. It could be understood by the high thermal diffusion coefficient and latent heat of sublimation of the carbon nanotube sponge. During ablation by the continuous wave, the carbon nanotube sponge not only fast consumed the absorbed laser energy through phase change of a large area material due to its high latent heat of sublimation, but also quickly dispersed the heat energy introduced by the continuous wave laser due to its high thermal diffusion coefficient, leading to the extraordinary laser ablation resistance

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