功能CT成像术前评估肺癌生物学行为的研究进展

肺癌是临床常见的恶性肿瘤,有较高的发病率及死亡率.评估肺癌的生物学行为对选择治疗方案、判断疗效及预后具有重要意义,但病理组织标本的获取依赖有创操作且存在诸多问题.目前,应用较先进的功能CT成像技术在术前无创性地评估肺癌的生物学行为已成为当下研究的热点,本文就功能CT成像的一般原理及在评估肺癌生物学行为方面的应用予以综述...     

Impact of the Built Environment on the Spatial Heterogeneity of Regional Innovation Productivity: Evidence from the Pearl River Delta,China

With the global economy increasingly dependent on innovation, urban discourse has shifted to consider what kinds of spatial designs may best nurture innovation. We examined the relationship between the built environment and the spatial heterogeneity of regional innovation productivity(RIP) using the example of China's Pearl River Delta(PRD). Based on a spatial database of 522 546 patent data from 2017, this study proposed an innovation-based built environment framework with the following five aspects: healthy environment, daily interaction, mixed land use, commuting convenience, and technology atmosphere. Combining negative binomial regression and Geodetector to examine the impact of the built environment on RIP, the results show that the spatial distribution of innovation productivity in the PRD region is extremely uneven. The negative binomial regression results show that the built environment has a significant impact on the spatial differentiation of RIP, and, specifically, that healthy environment, mixed land use, commuting convenience, and technology atmosphere all demonstrate significant positive impacts. Meanwhile, the Geodetector results show that the built environment factor impacts the spatial heterogeneity of RIP to varying degrees, with technology atmosphere demonstrating the greatest impact intensity. We conclude that as regional development discourse shifts focus to the knowledge and innovation economy, the innovation-oriented design and updating of built environments will become extremely important to policymakers.     

北斗/GPS双模分体式地震观测授时终端的研制

对当前地震观测仪器的授时技术现状进行阐述,统计并分析测震观测仪器授时终端的缺陷,针对性地提出基于北斗/GPS双模的分体式授时终端的设计,并通过硬件设计制作与软件功能调试,实现与地震数据采集仪器的成功对接.在地震台站试运行期间对所记录地震事件的测试结果验证了授时终端的校时准确性,设计达到预期效果.     

基于地价模拟的同城化空间格局研究——以南京、扬州同城化为例

为进一步适应区域协同背景下的国土空间规划需要,基于地价梯度模型和空间插值方法,以地价为指示指标,对南京、扬州同城化空间格局进行模拟,以揭示同城化空间格局演化的一般规律。结果表明：（1）以城际铁路为代表的快速交通对同城化推动效应明显,以南京为代表的强中心城市辐射范围扩大,扬州等弱中心城市辐射范围相对收缩。（2）不同时速城际铁路对同城化空间格局影响的一般规律为：时速越快,中心城市辐射强度越高,同城化程度越高;同一时速下,距中心城市越近,同城化程度越高;时速提升存在边际效应,表现为城际铁路对中心城市辐射范围的扩张有阈值极限。（3）随着中心城市互动的日益紧密,同城化空间格局将沿着单轴、多轴、网络形态逐渐演进,应进一步发挥中心城市、次级城市、城镇组团比较优势,形成分工明确、资源共享的同城化网络。     

基于不同摩擦系数水平的滑移隔震体系的相对输入能量与绝对输入能量的差异性分析

定义了能量变化率指标,以简谐激励作用下的滑移隔震结构为例,探讨了摩擦系数对滑移隔震结构能量变化率指标的影响,通过对这些能量指标的研究,分析了系统的相对输入能量和绝对输入能量的差异性随摩擦系数的变化规律,为后续研究提供理论依据。     

Effects of periodically varying codes on separation of multisource blended data

Current exploration needs are satisfied by multisource technology,which offers low cost,high efficiency,and high precision.The delay time,which determines the s...     

东太湖浮游植物与浮游动物群落的嵌套性及其互作网络的季节特征

浮游生物主要由浮游植物和浮游动物组成,是湖泊生态系统的重要组分.嵌套性结构及物种间的互作关系对群落的分布格局、功能乃至稳定性都具有重要意义,然而到目前为止,我们对此仍知之甚少.为此,本研究以东太湖为研究区域,在2019-2020年期间进行了春、夏、秋、冬季的观测调查,根据浮游生物群落的组成和多样性特征,结合群落分布矩阵和二分网模型研究浮游生物的嵌套性格局及其互作关系,并探讨其驱动机制.结果显示:(1)在时间上,春、秋、冬季水体的理化特征较为相似,但与夏季的水质差异显著.在空间上,西南部区域的综合污染指数显著高于东北部;(2)环境异质性使得浮游植物呈现出明显的嵌套性分布,即秋、冬季群落是春、夏季群落的子集.然而,浮游动物并未呈现该分布特征;(3)浮游生物的互作关系具有明显的季节特征:冬季的互作网络组成最简单,物种竞争最激烈,物种的特异性关系、物种脆弱性和一般性最小,说明浮游生物群落的稳定性在冬季最弱.综上所述,水环境的时空差异性造成的生态位分离可能是造成浮游生物嵌套性及其互作网络季节性变化的主要机制.     

郯庐断裂带苏皖段及邻区b值时空特征研究

采用郯庐断裂带苏皖段及邻区近50 a的地震数据,在定量分析区域最小完备震级Mc和推导b值计算的极大似然法基础上,重点研究G-R关系,尤其是b值时空分布演化特征,并依据b值指示意义进行5级以上地震关联性和断裂带影响区域的构造应力分布状况分析.结果显示,依据b值的时间分布特征,研究区中强地震发生时段与中短期b值下降时段关联...     

Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks

Knowledge of pore-water pressure(PWP)variation is fundamental for slope stability.A precise prediction of PWP is difficult due to complex physical mechanisms and in situ natural variability.To explore the applicability and advantages of recurrent neural networks(RNNs)on PWP prediction,three variants of RNNs,i.e.,standard RNN,long short-term memory(LSTM)and gated recurrent unit(GRU)are adopted and compared with a traditional static artificial neural network(ANN),i.e.,multi-layer perceptron(MLP).Measurements of rainfall and PWP of representative piezometers from a fully instrumented natural slope in Hong Kong are used to establish the prediction models.The coefficient of determination(R^2)and root mean square error(RMSE)are used for model evaluations.The influence of input time series length on the model performance is investigated.The results reveal that MLP can provide acceptable performance but is not robust.The uncertainty bounds of RMSE of the MLP model range from 0.24 kPa to 1.12 k Pa for the selected two piezometers.The standard RNN can perform better but the robustness is slightly affected when there are significant time lags between PWP changes and rainfall.The GRU and LSTM models can provide more precise and robust predictions than the standard RNN.The effects of the hidden layer structure and the dropout technique are investigated.The single-layer GRU is accurate enough for PWP prediction,whereas a double-layer GRU brings extra time cost with little accuracy improvement.The dropout technique is essential to overfitting prevention and improvement of accuracy.     

T213数值预报产品在黑龙江省应用的统计检验

利用统计学方法,选取T213高度场、温度场和地面气压场的12h、24h、36h、48h的格点资料作为样本,与实况值做对比检验,分别计算其相关系数和协方差,以此来说明T213的预报场在黑龙江省区域的准确程度。