Multi-layer data integration technique for combining heterogeneous crime data

Analysis of publicly available human and drug trafficking crime data faces the challenge of finding a comprehensive dataset that includes a sufficiently large number of crime incidents. Our proposed methodology attempts to address this challenge by using entity resolution techniques to merge multiple state-wide crime datasets and a county-wide incident report dataset to get a clearer picture of a category of criminal activity in a geographical area. This methodology combines incident reports, crime reports, and court records to close any gaps that may be present in a single data source. We apply this methodology to create a dataset that includes drug and human trafficking related crimes and incidents from three distinct sources (from Louisville Open Data Crime Reports, Federal Bureau of Investigation Kentucky Crime Incidents, and the Kentucky Online Offender Lookup website) to provide researchers data to study the link between drug and human trafficking related crimes. In a case study performed with the new merged dataset, an XGBoost classifier was able to label a 7-day sliding time window, within any given county, as containing a human trafficking related incident or not with a Matthews correlation coefficient of 0.86.     

Pronounce differently,mean differently: A multi-tagging-scheme learning method for Chinese NER integrated with lexicon and phonetic features

Named Entity Recognition (NER) aims to automatically extract specific entities from the unstructured text. Compared with performing NER in English, Chinese NER is more challenging in recognizing entity boundaries because there are no explicit delimiters between Chinese characters. However, most previous researches focused on the semantic information of the Chinese language on the character level but ignored the importance of the phonetic characteristics. To address these issues, we integrated phonetic features of Chinese characters with the lexicon information to help disambiguate the entity boundary recognition by fully exploring the potential of Chinese as a pictophonetic language. In addition, a novel multi-tagging-scheme learning method was proposed, based on the multi-task learning paradigm, to alleviate the data sparsity and error propagation problems that occurred in the previous tagging schemes, by separately annotating the segmentation information of entities and their corresponding entity types. Extensive experiments performed on four Chinese NER benchmark datasets: OntoNotes4.0, MSRA, Resume, and Weibo, show that our proposed method consistently outperforms the existing state-of-the-art baseline models. The ablation experiments further demonstrated that the introduction of the phonetic feature and the multi-tagging-scheme has a significant positive effect on the improvement of the Chinese NER task.     

山居书写：王崇炳《望江南》组词的生态意识及其对现代人的启示

王崇炳以“山居乐”为题的《望江南》组词,体现了独特的自然审美和对传统耕读文化的体验与升华.山居书写,既标举了一种地方自然与人文结合的简单生活观,又回应了后现代社会对“诗意栖居”的向往与追寻.     

水力裂缝与可渗透天然裂缝交互作用漏失研究

对于现场真实地层,当水力裂缝在地层中生长时,由于天然裂缝存在,会扰乱预期的水力裂缝的延伸,造成不可控的裂缝走向。要研究真实水力裂缝的延伸,就必须考虑水力裂缝与天然裂缝相交后的压裂液漏失情况。通过研究在水力裂缝与天然裂缝交互作用下,压裂液在天然裂缝中的漏失情况,得到压裂液侵入到天然裂缝中所存在的裂缝打开区、裂缝漏失区、裂缝闭合受压区、原始裂缝区四个区域,并且得到相应的控制方程,可更好地为水力裂缝的延伸和裂缝网的形成提供理论依据。     

自然手语与文法手语的区别简

自然手语和文法手语是聋人间及聋人与听人间交流的两种普遍方式。自从1960年美国语言学权威史多基博士得出了手语是一门语言学意义上的语言的结论后,手语便作为语言来研究。文章从两者的适用范围差异、特点上的差异、语法的差异这三方面进行论述,在语法的差异上,例举实例,便于直观地体会二者在语法上的差异。     

2009年-2013年《大理学院学报》（自然科学）载文分析

为研究《大理学院学报》自然科学类文章载文现状,探索应对策略,以2009年-2013年《大理学院学报》自然科学类文章9期共229篇文章作为样本,借助中国知网数据库进行高级检索,采用手工方法进行数据统计,从载文量、基金论文、被引论文、出版时滞4个方面对2009年-2013年《大理学院学报》自然科学类文章载文现状进行了文献计量学分析。结果显示,学报载文量基本趋于稳定,出版时滞控制力度良好,基金论文比逐年提高,2009年-2013年总被引240次,篇均被引频次达到1.33次/篇。     

借鉴国外防灾经验进一步完善我国防灾体系

日本、美国、土耳其等国家防灾法律与机构的防灾经验,对完善我国的防灾法律、建立国家级的自然灾害应急管理机构、建立健全巨灾保险法律法规,保障灾民合法利益;建立城乡避难场所,减少灾害损失具有一定的积极借鉴作用。     

广东省自然科学基金设立联合基金的探讨

联合基金是自然科学基金的重要组成部分,旨在协调多方合作互助、推进研究资源共享。通过对国家和各省(区、市)自然科学基金联合基金的设立情况进行研究,分析联合基金管理的优劣,借鉴经验,对广东省设立联合基金进行探讨。     

自然语言处理中语法分析研究

语法分析是自然语言处理中的关键环节 ,本文就自然语言处理中应用到的上下文无关语法、转换语法、剖析、转换网络和扩充转换网络等语法分析方法进行了论述。     

运用大数据优化选题策划的实践——以《交通医学》为例

以《交通医学》杂志策划“失神经肌萎缩”选题为例，介绍该选题产生的背景；利用国家自然科学基金项目查询系统中失神经肌萎缩的项目数量和资助金额判断该选题的社会价值；再借助中国知网的学术趋势分析服务，分析“学术关注度”和“学术传播度”,验证该选题是否为神经科学的研究热点，并确定选题题目；运用中国知网的检索功能确定与选题相对应的撰稿专家。编辑部运用国家自然科学基金项目查询系统和中国知网中的大数据，实现选题策划由“经验判断”向“数据分析”转变，以期为行业期刊选题策划工作提供新思路和新方法。