Using culturomics and social media data to characterize wildlife consumption

Wildlife provides food, medicine, clothing, and other necessities for humans, but overexploitation can disrupt the sustainability of wildlife resources and severely threaten global biodiversity. Understanding the characteristics of consumer behavior is helpful for wildlife managers and policy makers, but the traditional survey methods are laborious and time-consuming. In contrast, culturomics may more efficiently identify the features of wildlife consumption. As a case study of the culturomics approach, we examined tiger bone wine consumption in China based on social media and Baidu search engine data. Tiger bone wine is one of the most purchased tiger products; its consumption is closely related to tiger poaching, which greatly threatens wild tiger survival. We searched a popular social media website for the term “tiger bone wine” and focused on posts that were originally created from 1 January 2012 to 31 December 2018. We filtered and classified posts related to the purchase, sale, or consumption of tiger bone wine and extracted information on providers, consumption motivations, year of production, and place of origin of the tiger bone wines based on the texts and photos of these posts. We found 756 posts related to tiger bone wine consumption, 113 of which mentioned providers of tiger bone wine, including friends (53%), elder relatives (37%), peer relatives (7%), and others (3%). Out of the 756 posts, 266 indicated the motivations of tiger bone wine consumption. Tiger bone wines were consumed as a tonic (34%), medicine (23%), game product (30%), and a symbol of wealth (28%). Some posts indicated ≥2 consumption motivations. These findings were consistent with the search queries from Baidu index. Such information could help develop targeted strategies for tiger conservation. The culturomics approach illustrated by our study is a rapid and cost-efficient way to characterize wildlife consumption.     

用EXCEL进行精密度-偏性分析质控数据处理

利用EXCEL强大的数据处理功能，可以方便地对精密度—偏性分析质控数据进行处理，具有较高的推广价值。     

温差拉深法在制造大型杯形件中的应用

用温差拉深法制造大型杯形件毛坯,可避免毛坯拉断和起皱,最大限度地降低拉深系数、减少拉深次数、降低加工成本。     

地球化学数据去噪方法研究

在简要介绍移动平均、傅立叶交换和小波变换基本原理的基础上，比较了它们在地球化学数据处理过程中去除噪声效果的优劣，并应用于塔北雅克松-轮台地区的地球化学勘探实际。研究结果表明，小波变换是一种理想的数据处理方法。     

京津风沙源区防风固沙功能的时空变化及其区域差异

防风固沙功能是京津风沙源治理成效的关键监测指标。以往研究注重局地防风固沙功能的评估,对全区防风固沙功能的时空变化与内部差异揭示不足。基于京津风沙源区多期遥感数据,采用修正风蚀方程与GIS空间统计技术,评估分析了2000-2015年防风固沙功能的整体变化及其区域差异。结果表明:(1)京津风沙源区年均防风固沙量为28.98亿t,防风固沙能力为68.24 t/hm~2,且均随年份变化波动增加,年均增速分别为1.10%和0.71%;(2)京津风沙源区防风固沙能力呈西北高、东南低趋势,有49.06%的区域防风固沙能力高于70 t/hm~2,评估期内有54%的区域防风固沙能力明显提高;(3)浑善达克沙地亚区、典型草原亚区和荒漠草原亚区的防风固沙量累计为全区防风固沙总量的88%,燕山丘陵山地水源保护亚区和晋北山地丘陵亚区的防风固沙能力提升最显著;(4)锡林郭勒盟、赤峰市和乌兰察布市的防风固沙量合计占全区防风固沙量的77%,朔州市与包头市防风固沙能力较高,北京市与天津市防风固沙能力增速较高。因此,未来应重视分区施策治理与西部和北部防风固沙功能提升。     

浅议提高废水污染源监测数据代表性

对废水污染源监测中影响监测数据代表性的主要因素进行了分析,并对提高废水污染源监测数据代表性提出了可行性建议。     

生命周期评价数据库分析与建模

基于关系数据库和面向对象程序设计理论建立了生命周期评价数据库系统。通过综合分析生命周期评价数据，根据生命周期评价数据的数据类型，将数据分为产品评价数据、产品档案数据、基础材料数据和影响评价基础数据，相应的设计了4个数据库。运用关系数据库理论分别对4个数据库建立了物理结构模型。     

YEP与数据通讯网络

ＹＥＰ采用了先进的计算机管理技术与电子邮件网络系统，到目前为止，省项目办和英国ＤＲＡ咨询专家与世界银行和涉及ＹＥＰ的各有关单位之间及时准确地进行了大量的数据传输工作，保证了ＹＥＰ工作的顺利进行。     

水质模拟及趋势分析

根据洛河、伊河河流及流经地区特征 ,选择具有代表性的断面 ,选用一维河流有限差分水质模型 ,计算洛河、伊河 1 995～2 0 0 0年主要断面污染物浓度 ,并对其进行评价。采用季节性肯达尔检验法 ,对计算出的洛河、伊河 1 995～ 2 0 0 0年主要断面污染物浓度进行趋势分析 ,并分析其变化特征及形成原因     

Pulse cleaning flow models and numerical computation of candle ceramic filters

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