原发性肺腺癌组织亚型及预后

目的：探讨能谱CT定量参数联合血清肿瘤标志物（CEA、CA-125）对肺腺癌Ki-67表达的预测价值。方法：回顾性分析2020年6月至2022年2月经病理证实为肺腺癌的64例患者临床病理及影像学资料,所有患者均行双期能谱CT检查,且疗前血清CEA和CA-125水平明确。根据术后病理结果分为Ki-67高表达组（＞30％）、Ki-67低表达组（≤30％）。经双能量后处理工作站测得能谱相关定量参数碘值（IC）、标准化碘比率（NIC）及能谱曲线斜率（λHU）,根据病历资料获取疗前血清CEA和CA-125表达水平。采用t/Mann-Whitney U检验、λHU) were measured by a dual-energy post-processing workstation. The expression levels of SERUM CEA and CA-125 before treatment were obtained according to medical records. Statistical analysis of the data was performed with SPSS 22.0; t-test or Mann−Whitney U test and Q值的方法中,频谱比值法具有高效简单的特点,有着广泛的应用范围。本文假设地下介质为层状变Q模型,使用局部时频变换将信号转换为时频域,通过频谱比值法求出各层的Q值,最后根据Kolsky衰减模型来补偿地震信号。理论模型测试和实际资料处理的结果表明,本文提出的方法能够有效恢复衰减信号,提高地震资料的分辨率。     

中原邙山黄土地层划分的讨论

地层时代和地层划分研究一直是基础性、先导性工作,随着科学研究的深入和材料的丰富,地层划分不断被重新认识。黄土地层时代和划分主要依靠OSL、14C、古地磁和磁化率的对比。中原邙山因发育巨厚的马兰黄土而闻名中外,但地层划分却出现了不同的认识。早期对赵下峪剖面的研究认为L₁层厚98 m,并发育L₁SS₁弱古土壤层;剖面底部出露最老地层为S₁₀层。后来的观点把早期的L₁层划分为L₁、S₁、L₂层,剖面底部出露最老地层为S₁₁层。通过对B/M界线进行详细的古地磁研究,剖面上部补充年代测试样品,结合已有测年结果,分析认为早期对L₁的划分和对剖面最老地层的确认是正确的,但B/M界线位置划分有误;而后期的研究对B/M界线位置的划分是正确的,但把底部最老地层划分为S₁₁是不当的,同时把马兰黄土中弱古土壤层L₁SS₁划分为S₁也是不合适的。地层对比表明,邙山黄土发育了S₀—S₁₀黄土—古土壤序列,B/M界线位于L₈下部。      

基于相位差时延估计法的岩石声发射源定位研究

针对岩石力学试验声发射时差定位算法中时延估计精度受诸多不确定因素的影响问题,提出全相位相位差法时延估计,通过小波分解与全相位频谱分析相结合求解相位差得到声发射信号的时延估计。利用小波分解找到不同传感器接收到的声发射信号中的同一主频的子带信号;对这些同一主频的子带信号分别做全相位频谱分析,得到每个子带信号中间样点的相位,再根据相位差与时间差的关系求出声发射信号到达不同传感器之间的时间差;进而利用时差定位法反演声发射源,实现了声发射源更精确的定位。在花岗岩（50 mm×100 mm×50 mm）上进行断铅试验,选取10个测点,经声发射监测验证结果表明,该时延估计方法能有效地减小声发射源定位的误差,提高声发射源的定位精度,平均绝对误差比美国PCI-2型声发射仪器定位结果提高约3 mm,该方法为反演声发射源提供了一种有效途径。     

高光谱遥感地空综合预测方法在新疆卡拉塔格地区铜金矿床找矿中的应用

新疆卡拉塔格地区位于东天山成矿带,地质矿产资源丰富,铜金及多金属矿床集中,找矿潜力较大。铜金矿床地表矿化蚀变现象明显,发育的褐铁矿化+黄钾铁矾化+绢云母化形成地物反射光谱特征,为高光谱遥感地空综合预测方法用于探测铜金矿化蚀变信息成为可能,并成为寻找铜金矿床的有效技术方法。本文在卡拉塔格地区开展了航空高光谱和地面高光谱在铜金多金属矿床找矿研究,分别采用Hy Map航空成像光谱仪和Field Spec Pro FR光谱仪,获取了研究区Hy Map航空高光谱数据、地面准同步定标数据、地面高光谱数据,提取并筛选了基于Hy Map航空高光谱影像的成矿有利蚀变信息,在此基础上对该区红山铜金矿床航空-地面高光谱提取的蚀变信息进行了综合剖析,并结合矿区地质背景,建立了红山铜金矿床高光谱遥感地空综合找矿模型,经对比分析在该区圈定了2处找矿预测区。说明高光谱遥感地空综合预测方法在该区得到了很好的应用效果。     

Seismic waves and correlation autoregressive processes

Stochastic models appropriate for seismic records of earthquakes and underground nuclear explosions are considered and a selective review of the existing models is presented. Special models of stationary processes, periodically correlated processes, and uniformly modulated stationary processes as well as a new class called correlation autoregressive processes are studied. Relevant properties of correlation autoregressive processes are presented. It is shown that the successful models presently used are all subclasses of the correlation autoregressive processes. Shortcomings of the existing nonstationary models and merits of the new class for seismic wave modeling are discussed and directions for the further research and development are suggested. It is hoped that the model and the ideas introduced in this article will provide a stimulation for further examination of correlation autoregressive processes and will promote statistical modeling of seismic records.     

A model for solar quiet day variation at low latitude from past observations using singular spectrum analysis

Singular spectrum isolates significant principal components in a time series from the embedded noise. This tool-kit is used to reconstruct trend-free individual time series, formed by restricting the mean monthly hourly values of geomagnetic field to one hour at a time at a low latitude station Alibag (dipole latitude 9.5°N). Each reconstructed component is extrapolated over the next 12 values using an autoregressive model based on Burg’s maximum entropy algorithm. Details of a numerical approach to increase the reliability of extrapolation are highlighted. The extrapolated reconstructed components are then combined to generate predicted monthly values for each hour. The mean diurnal variation for any month obtained from the extrapolated individual hourly time series compares favorably with the observations. This approach to Sq(H) modelling incorporating both long and short term variations will be beneficial in the derivation of Dst index.