参考文献著录规则应用及注意的问题

通过对《文后参考文献著录规则》的学习和理解,阐明参考文献著录方法,列举了有关著录事例和著录时应注意的问题。为著者撰写学术论文提供参考,以便提高学术论文和科技期刊质量。     

新疆乌兰乌苏物候变化规律及其对气候变化的响应

分析新疆乌兰乌苏农业气象试验站1980—2002年物候与相应气候因子资料,得出乌兰乌苏23a来气温增高,降水增多,气候增暖增湿;候鸟停留时间增长,与积温、日照时数和降水量的年变化趋势一致,除降水外,其他均存在显著正相关关系;木本植物生育期延长,与4—10月平均气温、平均相对湿度、总日照时数和总降水量趋势一致;初霜和终霜均推迟,无霜期缩短;初雪和初次积雪提前,终雪推迟,冬季雪日增长;积雪开始融化提前,完全融化推迟,融化时间增长;土壤表面开始解冻日期趋势提前,而土壤表面开始冻结日期趋势推迟。另外,通过物候与气象因子建立的最优回归方程,获得物候对气候响应的定量关系,为生态环境研究提供一定的理论依据。     

矿床统计预测单元划分的方法与程序

在矿床统计预测中,如何确定最佳的统计预测单元,目前尚无通用的准则和算法,它的划分往往取决于地质学家对研究区控矿条件的认识,矿化的实际分布殂态及统计预测所采用的评价模型等多种因素。系统功能齐全,基本上满足了资源评价的各种需求,实现了预测单元划分的自动化和智能化。     

小牛煤矿晚二叠世含煤地层沉积环境与聚煤规律

小牛煤矿位于贵州省内水城矿区的格目底向斜东段北翼,含煤地层为晚二叠世龙潭组,含煤性好。通过对小牛煤矿含煤地层及其含煤性的研究,确定了研究区的沉积环境是海陆过渡相中的三角洲沉积类型,并初步建立了沉积模式,龙潭早期和晚期均有较好的聚煤作用发生并叠加,是聚煤的最佳场所,含煤性最好。     

东营凹陷八面河北部斜坡带构造特征及形成机制

研究了东营凹陷八面河北部斜坡带的断裂特征、构造演化特征及其形成机制,明确了该区的断裂展布特点和断层活动性,弄清了北部斜坡带的演化规律,同时分析该区的构造变形特征。结果表明：中生代以后,八面河地区存在2种独立的构造变形系统：一是板块边缘相互作用力;二是到后期由于板块的持续俯冲,地幔底辟作用在岩石圈底面产生的牵引力。八面河北部地区在这2种构造力的综合作用下,不同时期表现出不同的构造变形特征。     

基于数据挖掘分析中药复方治疗肺癌伴恶性胸腔积液的用药规律

目的：运用中医传承计算平台（V3.0）分析中医药治疗肺癌伴恶性胸腔积液的用药规律。方法：计算机检索2000年1月1日至2022年2月28日中国知网（CNKI）、万方数据（WANFANG DATA）、维普中文科技期刊数据库（VIP）中关于中药复方治疗肺癌伴恶性胸腔积液的文献,分析中药的性味归经、功效、频次、药物组合、关联规则及聚类等。结果：共纳入文献98篇,处方103首,中药197味。频次≥20次的中药有18味,排前10位的依次为葶苈子、茯苓、白术、黄芪、大枣、甘草、泽泻、桂枝、半夏、薏苡仁。四气以寒、温、平为主;五味以甘、苦、辛为主;归经以肺、脾、胃经为主。排前3位的功效依次为补虚、利水渗湿、化痰止咳平喘。用药频次≥20次的中药组合有37组,排前4位的依次为茯苓-葶苈子、白术-茯苓、茯苓-黄芪、大枣-葶苈子。支持度≥25%的核心药物为黄芪、白术、茯苓、甘草、葶苈子、大枣、桂枝、泽泻。中药聚类分析提取到4个核心组合。结论：肺癌伴恶性胸腔积液多属晚期,以气血阴阳俱虚为本,饮停胸胁为标,病机多虚实夹杂。中医药治疗此病多以甘温益气补虚治本,苦寒泻肺利水治标,同时兼以温阳化气。     

基于数据挖掘探讨中药治疗肝豆状核变性的用药规律

目的：基于数据挖掘探讨中药治疗肝豆状核变性的用药规律。方法：计算机检索1990年1月至2020年1月中国知网（CNKI）、万方数据（WANFANG DATA）、维普中文科技期刊数据库（VIP）中中药治疗肝豆状核变性的相关文献,利用Microsoft Excel 2010 进行频次分析,通过 SPSS Modeler 18.0、SPSS Statistics 23.0 对处方药物进行关联规则、复杂网络、系统聚类分析。结果：最终纳入文献161篇,筛选出处方151首,中药70味。中药频次排前5位的依次是泽泻、姜黄、大黄、黄连、丹参;功效排前5位的依次是利水渗湿、活血化瘀、清热、补虚、泻下药。二项关联多为利水渗湿、活血化瘀、清热、泻下药的组合,三项关联多为活血化瘀、清热、利水渗湿药的组合。聚类分析得到新方聚类的中药组合3类。结论：中医药治疗肝豆状核变性以清热化湿、活血化瘀为主,常用利水渗湿、活血化瘀、清热药,可配伍补虚及泻下药等。     

Evaluation of Three Harvest Control Rules for Bigeye Tuna（Thunnus obesus） Fisheries in the Indian Ocean

The stock of Bigeye tuna（Thunnus obesus） in the Indian Ocean supports an important international fishery and is considered to be fully exploited. The responsible management agency, the Indian Ocean Tuna Commission（IOTC）, does not have an explicit management decision-making framework in place to prevent over-fishing. In this study, we evaluated three harvest control rules, i） constant fishing mortality（CF）, from 0.2 to 0.6, ii） constant catch（CC）, from 60000 to 140000 t, and iii） constant escapement（CE）, from 0.3 to 0.7. The population dynamics simulated by the operating model was based on the most recent stock assessment using Stock Synthesis version Ⅲ（SS3）. Three simulation scenarios（low, medium and high productivity） were designed to cover possible uncertainty in the stock assessment and biological parameters. Performances of three harvest control rules were compared on the basis of three management objectives（over 3, 10 and 25 years）： i） the probability of maintaining spawning stock biomass above a level that can sustain maximum sustainable yield（MSY） on average, ii） the probability of achieving average catches between 0.8 MSY and 1.0 MSY, and iii） inter-annual variability in catches. The constant escapement strategy（CE=0.5）, constant fishing mortality strategy（F=0.4） and constant catch（CC=80000） were the most rational among the respective management scenarios. It is concluded that the short-term annual catch is suggested at 80000 t, and the potential total allowable catch for a stable yield could be set at 120000 t once the stock had recovered successfully. All the strategies considered in this study to achieve a ‘tolerable＇ balance between resource conservation and utilization have been based around the management objectives of the IOTC.     

Evaluation of three harvest control rules for Bigeye Tuna (Thunnus obesus) fisheries in the Indian Ocean

The stock of Bigeye tuna(Thunnus obesus) in the Indian Ocean supports an important international fishery and is considered to be fully exploited. The responsible management agency, the Indian Ocean Tuna Commission(IOTC), does not have an explicit management decision-making framework in place to prevent over-fishing. In this study, we evaluated three harvest control rules, i) constant fishing mortality(CF), from 0.2 to 0.6, ii) constant catch(CC), from 60000 to 140000 t, and iii) constant escapement(CE), from 0.3 to 0.7. The population dynamics simulated by the operating model was based on the most recent stock assessment using Stock Synthesis version Ⅲ(SS3). Three simulation scenarios(low, medium and high productivity) were designed to cover possible uncertainty in the stock assessment and biological parameters. Performances of three harvest control rules were compared on the basis of three management objectives(over 3, 10 and 25 years): i) the probability of maintaining spawning stock biomass above a level that can sustain maximum sustainable yield(MSY) on average, ii) the probability of achieving average catches between 0.8 MSY and 1.0 MSY, and iii) inter-annual variability in catches. The constant escapement strategy(CE=0.5), constant fishing mortality strategy(F=0.4) and constant catch(CC=80000) were the most rational among the respective management scenarios. It is concluded that the short-term annual catch is suggested at 80000 t, and the potential total allowable catch for a stable yield could be set at 120000 t once the stock had recovered successfully. All the strategies considered in this study to achieve a ‘tolerable' balance between resource conservation and utilization have been based around the management objectives of the IOTC.     

基于布尔矩阵的空间关联规则提取方法研究

空间关联规则是空间数据挖掘(SDM)中的重要内容之一。由于空间数据的复杂性,传统的空间关联规则挖掘方法主要是将空间数据库变换为非空间数据库,通过挖掘算法挖掘空间关联规则。目前,Apriori算法是关联规则挖掘中使用最为普遍的算法,但是,由于该算法在关联规则提取过程中需要多次扫描数据库,并且产生冗余的候选项集,因此,在执行大型数据库的关联规则挖掘时,具有效率低下的缺陷。本文基于Apriori算法提出了基于布尔矩阵的空间关联规则挖掘算法,并以挖掘福建省厦门市土地覆盖现状与地形特征因子的空间关联关系作为试验案例,对比Apriori算法的提取结果与提取效率,结果表明:该算法不仅减少了扫描数据库的次数,而且减少了冗余候选项集的产生,提高了空间关联规则的提取效率。