Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory

With the rapid development of artificial intelligence (AI), AI anxiety has emerged and is receiving widespread attention, but research on this topic is not comprehensive. Therefore, we investigated the dimensions of AI anxiety using the theoretical model of integrated fear acquisition and a questionnaire survey. A total of 494 valid questionnaires were recovered. Through a first-order confirmatory factor analysis (CFA), a factor model of AI anxiety was constructed, and eight factors of AI anxiety were verified. Then, a second-order CFA was applied to verify the adaptation of the factor structure of AI anxiety to fear acquisition. We identified four dimensions of AI anxiety and proposed a theory of AI anxiety acquisition that illustrates four pathways of AI anxiety acquisition. Each pathway includes two factors that cause AI anxiety. We conclude by analyzing the limitations of current AI anxiety research and proposing a broader research agenda for AI anxiety.     

因子分析在冀东峪耳崖金矿地球化学找矿中的应用

峪耳崖金矿位于华北板块北缘，矿区基底地层为太古界迁西群麻粒岩相和角闪岩相，矿体受NNE—NE向断裂构造控制，赋矿围岩为花岗岩。在矿床地质特征基础上，利用矿区土壤地球化学数据，采取传统统计法和累计频率法圈定了金矿12个元素的异常范围；运用因子分析方法划分出了Sb Hg Pb As元素组合、Au Ag Bi元素组合、Zn Cu Sn元素组合和W Mo元素组合；再对因子得分进行趋势面分析，较为有效地突出了深层次的找矿信息，更准确地圈出成矿靶区。结合研究区地质特征认为Au Ag Bi元素组合和Sb Hg Pb As元素组合为研究区最佳地球化学标志元素组合，下一步地质工作重点应放在矿区中矿带矿体深部及其南部异常高值区，同时布置少量工程在北矿带，以追索与唐杖子金矿之间的联系。     

Establishment and optimization of an evaluation index system for brownfield redevelopment projects: An empirical study

Brownfield redevelopment has recently become the focus of attention of governments, communities, environmental advocates, scientists, and researchers around the world. The purpose of this study is to provide a framework for establishing and optimizing an evaluation index for brownfield redevelopment projects (BRPs). This framework involves three steps: the initial design, testing and optimization, and verification. With the help of two standard statistical software packages, the reliability and validity of the initialized index system are established, and then the optimization of the initial index system is carried out by means of Factor Analysis. The effectiveness of the optimization of the index system is verified through Structural Equation Modeling. Furthermore, an illustration example is used to show how to apply the established index system in the real world.     

Why do individuals engage in collective actions against major construction projects? —An empirical analysis based on Chinese data

Collective actions against major construction projects are becoming common because of the public’s increasing civil rights awareness and environmental consciousness. Thus, it is important to explore the critical factors responsible for collective actions against major construction projects. This study initially developed 25 indicators inducing collective actions based on a comprehensive literature review. An empirical study with 127 samples was conducted using questionnaire surveys and semi-structured interviews from projects located in Central China. Furthermore, ranking analysis and factor analyses were implemented to conclude that collective actions in major construction projects can be explained by a six-dimension critical factor system: benefits to the public, characteristics of project performers, layout of projects, living quality of the public, perceptions of the public, and influence from the authority. This study contributes to government administration for collective actions against major construction projects and serves as a useful reference for further studies of this type.     

低温溶液缩聚法制备聚间苯二甲酰对苯二胺

采用低温溶液缩聚法制备了聚间苯二甲酰对苯二胺(PPIA),讨论了单体浓度、单体物质的量配比、反应温度等因素对聚合反应的影响,并用红外光谱(IR)、热重分析(TG)、X射线衍射(XRD)、扫描电镜(SEM)对实验产物进行了测定。红外检测出的特征峰符合PPIA的结构特征,热重测得热分解速率最大温度在520℃左右,X射线衍射表明聚合物有明显结晶现象,并且扫描电镜显示下的聚合物结构聚集状态良好。     

加权法计算有色金属工业主要产品的产污和排污系数的研究

本文在用实测、衡算和经验估算三种方法所获得的有色金属工业主要产品（Ｃｕ、Ｐｂ、Ｚｎ、Ａｌ、Ｎｉ）的原始产污和排污系数的基础上，采用加权法计算了产品的个体和综合产污、排污系数，其主要步骤是确定评价指标和权重以及计算等。     

运用蒙特卡罗梯度搜索方法求解边坡安全系数

毕肖普简化法求边坡最小安全系数所输入的初始圆心坐标和初始迭代半径，需要有很多的经验以及多次输入，这一点在实际中产生很多不便。本文基于平面上产生随机点的研究方法，可以解决上述问题；提示了边坡稳定最小安全系数漩涡(线涡)；进而提出了蒙特卡罗梯度搜索边坡最小安全系数方法；得出最小安全系数关于不同的迭代半径有很大的影响。     

城市道路两厢商住地规划开发问题的探讨──论道路两厢地价的调整方法

以益阳市大桃南路、秀峰中路两厢商住用地地价调整为例，探讨了城市道路两厢地价随开发进度进行合理调整的基本思路及调整修正方法。试用结果表明，该办法效果良好。     

Analysis of an energy efficient building design through data mining approach

Incorporating energy efficiency and sustainable green design features into new/existing buildings has become a top priority in recent years for building owners, designers, contractors, and facility managers. This paper intends to address why delivery of an energy efficient building is not just the result of applying one or more isolated technologies. Rather, it can best be obtained using an integrated whole building process throughout the entire project development process, which leads building designers to generate a large amount of data during energy simulations. The authors observed that even a simple energy modeling run generated pages of data with many different variables. The volumes of energy modeling data clearly overwhelm traditional data analysis methods such as spreadsheets and ad-hoc queries with so many factors to be considered. An integrated or whole building design process involves studies of the energy-related impacts and interactions of all building components, including the building location, envelope (walls, windows, doors, and roof), heating, ventilation and air conditioning (HVAC) system, lighting, controls, and equipment, which shows why it is so difficult to find the correlation between different systems. The objective of this research is to develop an energy efficient building design process using data mining technology which can help project teams discover important patterns to improve the building design. This paper utilizes the data mining technology to extract interrelationships and patterns of interest from a large dataset. Case study revealed that data mining based energy modeling help project teams discover useful patterns to improve the energy efficiency of building design during the design phase. The method developed during this research could be used to guide designers and engineers through the process of completing an early design energy analysis based on energy simulation models.     

PAHs in sediments of the Black River and the Ashtabula River, Ohio: source apportionment by factor analysis

Sources of polycyclic aromatic hydrocarbons (PAHs) in the Black River and Ashtabula River sediments were apportioned using a factor analysis (FA) model with nonnegative constraints. Source profiles, contributions (microg/g) and percent contributions are determined with no prior knowledge of sources. The FA model includes scaling and backscaling of data with average PAH concentrations, without sample normalization. The present work is a follow-up to studies that used a chemical mass balance model to apportion sources to the same data sets. Literature source profiles, modified based on gas/particle partitioning of individual PAHs, from nine PAH sources were considered for comparison. FA results for a three-source solution indicate traffic (58%), coke oven (26%), and wood burning/coal tar (16%) are the primary PAH sources to Black River sediments. The primary PAH sources to the Ashtabula River sediments are traffic (51%), coke oven (44%), and wood burning (5%). This work supports the previous studies of Black River and Ashtabula River PAHs by CMB model. In addition, FA provides a more realistic fit to Ashtabula River model data by eliminating 100% contributions from one source.