基于数据挖掘探讨江柏华治疗肺结节的用药规律

目的：运用数据挖掘技术探讨江柏华主任医师治疗肺结节的用药规律。方法：收集2021年12月1日至2022年10月31日于江柏华主任医师门诊首次就诊的肺结节患者的病案资料。采用Excel 2021进行中药频数分析,SPSS Modeler 18.0进行药物关联规则分析,Cytoscape 3.9.1进行网络化展示,SPSS 26.0进行药物系统聚类分析。结果：纳入处方384首,中药165味,总使用频次为13803次,频次＞120次的药物有45种,排前5位者有陈皮、党参、麸炒白术、黄芪、丹参,排前4位的药物功效为补虚、活血化瘀、清热、化痰止咳平喘。药物四气以寒、温、平为主,五味以苦、甘为主,辛味次之,归经以肺、肝、脾经为主,胃经次之。结论：江柏华主任医师认为肺结节的主要病机是正气亏虚、痰瘀内聚,治疗该病以补虚药、活血化瘀药、清热药、化痰止咳平喘药为核心组方。     

基于数据挖掘探析经方治疗晚期肺癌的辨治规律

目的：探讨经方治疗晚期肺癌的辨治规律及处方用药。方法：收集中国知网（CNKI）中运用经方治疗晚期肺癌的病案,通过Medcase V5.2仓公诊籍国医脉案数据记录挖掘系统,运用频数分析与关联规则分析,从临床症状、舌象、脉象、病机、处方用药等多方面对经方治疗晚期肺癌的病案进行数据挖掘。结果：晚期肺癌的主要临床表现有咳嗽、疲倦乏力、食欲不振、胸闷、易醒、入睡困难等;频数较高的舌象有舌质暗红、舌质红、舌质淡红、舌质淡、苔薄白、苔黄腻;频数较高的脉象有细、弦、滑、沉、数、弱;病机主要为癌毒郁肺、肺脾气虚、肺失宣肃、肝郁化火、痰热壅肺、水饮停肺;常用药物有茯苓、法半夏、炙甘草、大枣、桂枝、柴胡等;通过关联规则分析,得到30组关联症状、28组关联病机、30组病机与临床症状关联。结论：应用数据挖掘法能够反映经方治疗晚期肺癌的辨治规律,具有一定的临床指导意义。     

基于《中华医典》分析清代医家治疗水肿的用药规律

目的:挖掘《中华医典》中治疗水肿的相关内容,探讨清代医家治疗水肿的用药及配伍规律。方法:检索《中华医典》医案部分中清代医家诊疗水肿的相关著作,采用SPSS Modeler 18.0进行关联规则分析,采用SPSS 21.0对高频药物进行聚类分析。结果:共收录280首处方,包含44本医家著作,涉及中药260味,其中频次≥21次的药物34味,药性以温、平为主,药味多辛、苦、甘,归经多为肺、脾、肾经;使用频率最高的是利水渗湿药、补虚药和理气药;高频药对为泽泻-猪苓、白术-附子;聚类分析得到7个核心处方。结论:清代医家治疗水肿注重攻补兼施,遣方用药以利水渗湿为主,同时兼健脾理气、温补脾肾、宣肺解表。     

多媒体数据挖掘中图像数据的关联规则挖掘

多媒体数据挖掘是目前国际上数据库、多媒体技术和信息决策领域最前沿的研究方向之一,是数据挖掘的一个新兴且富有挑战性的子领域。介绍了多媒体数据挖掘的系统结构,及以图像数据为代表的关联规则挖掘方法。     

城市导航电子地图的道路模型

随着GPS／GIS／GSM车辆导航和监控系统的成熟和普及，导航系统电子地图中的道路数据模型的重要性日益突出。在非导航应用中较少研究的道路交通线模型，在此成了无法回避的且必须理清的问题。本文详细分析了现代城市路口的通行规则，论述了单线模型的缺陷，设计了适用于导航的双线多结点道路模型。     

The non‐stationary cross‐correlation coefficients in the seismic analysis of MDOF structural systems

A method concerning the evaluation, in a very compact form, of the non‐stationary modal cross‐correlation coefficients of MDOF structural systems subjected to seismic excitations is presented. It is available both in the case when the excitation is considered as a white‐noise process and when it is considered as a filtered process. The evaluation of these coefficients is required when a transient seismic analysis is performed by the use of the modal response spectrum approach. This is necessary when the strong‐motion phase of the earthquake is significantly short with respect to the fundamental period of the structure. Copyright © 2003 John Wiley & Sons, Ltd.     

Indicator Pattern Combination for Mineral Resource Potential Mapping with the General C-F Model

As an uncertain reasoning model, the general C-F model was originally developed for processing the uncertainties of rule-based knowledge in the field of artificial intelligence. In this model, certainty factors and combined certainty factors are defined and used for expressing the strengths of knowledge rules and knowledge rule combinations, respectively. The certainty factor can reflect the believable degree of inferring hypothesis on the basis of a proof. Similarly, the combined certainty factor can reflect the believable degree of inferring hypothesis on the basis of the proof combination. It is a function of the related certainty factors and can be determined through combining the certainty factors via the combining rule of the general C-F model. In this paper, the general C-F model has been successfully applied to mineral resource potential mapping. We call this model as the applied form of the general C-F model. In this applied form, the certainty factor is applied to expressing the believable degree of inferring mineral occurrence on the basis of one of the map pattern states associated with the mineral occurrence. Correspondingly, the combined certainty factor is applied to expressing the believable degree of inferring the mineral occurrence on the basis of the map pattern state association. And it is also applied to expressing mineral resource potentials in the mineral resource potential mapping. In the current form, the first step in implementing the general C-F model is to estimate a pair of certainty factors for each map pattern under combination. The next step is to determine the combined certainty factor for the map pattern states coexisting in each locality of the mapping area. The last step is to generate the combined-certainty-factor raster map or the combined-certainty-factor contour map in order to select mineral resource targets. The applied form of the general C-F model is demonstrated on a case study to select mineral resource targets. The experimental results manifest that the model can be compared with the weights-of-evidence model in the effectiveness of mineral resource target selection.     

The effect of Holocene temperature fluctuations on the evolution and ecology of Neotoma (woodrats) in Idaho and northwestern Utah

Animals respond to climatic change by adapting or by altering distributional patterns. How an animal responds is influenced by where it is positioned within its geographic range; the probability of extirpation is increased near range boundaries. Here, we examine the impact of Holocene climatic fluctuations on a small mammalian herbivore, the bushy-tailed woodrat (Neotoma cinerea), at five locations within south central Idaho and northwestern Utah. Previous work demonstrated that woodrats adapt to temperature shifts by altering body size. We focus here on the relationship between body mass, temperature, and location within the geographic range. Body mass is estimated by measuring fossil fecal pellets, a technique validated in earlier work. Overall, we find the predicted phenotypic response to climate change: animals were larger during cold periods, and smaller during warmer episodes. However, we also identify several time periods when changes in environmental temperature exceeded the adaptive flexibility of N. cinerea. A smaller-bodied species, the desert woodrat (N. lepida) apparently invaded lower elevation sites during the mid-Holocene, despite being behaviorally and physically subordinate to N. cinerea. Analysis of contemporary patterns of body size and thermal tolerances for both woodrat species suggests this was because of the greater heat tolerance of N. lepida. The robust spatial relationship between contemporary body size and ambient temperature is used as a proxy to reconstruct local climate during the Holocene.     

新桥硫铁矿伴生金银赋存状态及分布规律

系统阐述了新桥矿伴生金银的赋存状态和分布规律 ,对综合利用矿产资源 ,提高金银的回收率 ,以及深部资源预测、外围找矿均具有一定的指导意义