Research Article| November 01, 2011 Trace element cycling through iron oxide minerals during redox-driven dynamic recrystallization Andrew J. Frierdich; Frierdich * 1Department of Earth and Planetary Sciences, Washington University, St. Louis, Missouri 63130, USA *E-mail: frierdich@eps.wustl.edu. Search for other works by this author on: GSW Google Scholar Yun Luo; Luo USA2Department Energy, Environmental, Chemical Engineering, Jeffrey G. Catalano Author Article Information Publisher:...

Biogeochemical iron cycling often generates systems where aqueous Fe(II) and solid Fe(III) oxides coexist. Reactions between these species result in oxide surface phase transformations, isotope fractionation, redox transformations of many contaminant species. Fe(II)-induced recrystallization goethite hematite has recently been shown to cause the repartitioning Ni(II) at mineral-water interface, with adsorbed Ni incorporating into structure preincorporated released back solution. However,...

A major environmental concern associated with coal fly ash is the mobilization of trace elements that may contaminate water. To better evaluate proper use ash, determine appropriate disposal methods, and monitor postdisposal conditions, it important to understand speciation in their possible impact. The selenium, arsenic, zinc was determined five representative Class C samples from combustion sub-bituminous Powder River Basin using synchrotron-based X-ray absorption spectroscopy provide an...

Building resilient cities is playing an increasingly important role in enhancing urban safety and promoting sustainable development. However, few scholars pay attention to resilience inland provinces. Choosing Henan Province, as it a typical representative of China’s major economic provinces, has practical guiding significance. This study aims provide systematic indicator system evaluation tool measure the cuity’s level. Therefore, based on multidimensional perspective, this paper dissects...

Introduction of coal fly ash into aquatic systems poses a potential environmental hazard because its heavy metal content. Here we investigate the relationship between solid phase transformations, fluid composition, and release speciation during prolonged wet aging class C F ash. The causes rapid alkalinization water that is neutralized over time by CO(2) uptake from air calcite precipitation. resulting aqueous concentrations are below regulatory limits with exception Cr; solubility...

Spatial clustering analysis is an important spatial data mining technique. It divides objects into clusters according to their similarities in both location and attribute aspects. plays essential role density distribution identification, hot-spot detection, trend discovery. algorithms the Euclidean space are relatively mature, while those network less well researched. This study aimed present a well-known algorithm, named density-based of applications with noise (DBSCAN), proposed new...

This special issue focuses on the education of rural youths who have been influenced by China’s rural-to-urban migration, probably among largest in human history (UNICEF 2014, 112). In contempo...

Graph edge perturbations are dedicated to damaging the prediction of graph neural networks by modifying structure. Previous gray-box attackers employ gradients from surrogate model locate vulnerable edges perturb However, unreliability exists in on structures, which is rarely studied previous works. In this paper, we discuss and analyze errors caused structural gradients. These arise rough gradient usage due discreteness structure meta-gradient order address these problems, propose a novel...

Gray-box graph attacks aim to disrupt the victim model's performance by using inconspicuous with limited knowledge of model. The details model and labels test nodes are invisible attacker. attacker constructs an imaginary surrogate trained under supervision obtain gradient on node attributes or structure. However, there is a lack discussion training models reliability provided information. general classification lose topology graph, which is, in fact, exploitable prior for This paper...

Nowadays, the use of social media has reached unprecedented levels. Among all media, with its popular micro-blogging service, Twitter enables users to share short messages in real time about events or express their own opinions. In this paper, we examine effectiveness various machine learning techniques on retrieved tweet corpus. A model is deployed predict sentiment, as well gain an insight into correlation between twitter sentiment and stock prices. Specifically, that acquired by mining...

The features of the asynchronous correlation between accident indices and factors that influence accidents can provide an effective reference for warnings coal mining accidents. However, what are this correlation? To answer question, data from China price index number deaths were selected as sample data. fluctuation modes two sets defined according to coefficients, symbolization, sliding windows. We then built several directed weighted network models, within which transformations represented...

Abstract Based on the Bayesian network, a risk assessment model of Natech was established to assess risks associated with lightning. existing research results and expert analyses, causal relationship between different parameters constructed, conditional probability values nodes were determined. This used predict analyze fire explosion inner floating roof tanks caused by The showed that models network could clearly express direct causality factors perform both predictive diagnostic analyses.

As recognized in psychological research, there is often a difference between an agent's expressed opinion and private (or belief). This occurs for different reasons, such as political correctness or peer pressure. The by agent the result of pressure to follow (average) opinions group which belongs, norms. unknown others, but evolved under influence other agents' opinions. paper proposes formation model based on theory bounded confidence, studies dynamic process time-varying networks. At same...

(Dis)agreement detection aims to identify the authors' attitudes or positions (agree, disagree, neutral) towards a specific text. It is limited for existing methods merely using textual information identifying (dis)agreements, especially cross-domain settings. Social relation can play an assistant role in (dis)agreement task besides information. We propose novel method extract such from data into inductive social graph, comment-reply pairs without any additional platform-specific The...