Showing papers by "University of Memphis published in 2015"

Correlational effect size benchmarks

Abstract: Effect size information is essential for the scientific enterprise and plays an increasingly central role in the scientific process. We extracted 147,328 correlations and developed a hierarchical taxonomy of variables reported in Journal of Applied Psychology and Personnel Psychology from 1980 to 2010 to produce empirical effect size benchmarks at the omnibus level, for 20 common research domains, and for an even finer grained level of generality. Results indicate that the usual interpretation and classification of effect sizes as small, medium, and large bear almost no resemblance to findings in the field, because distributions of effect sizes exhibit tertile partitions at values approximately one-half to one-third those intuited by Cohen (1988). Our results offer information that can be used for research planning and design purposes, such as producing better informed non-nil hypotheses and estimating statistical power and planning sample size accordingly. We also offer information useful for understanding the relative importance of the effect sizes found in a particular study in relationship to others and which research domains have advanced more or less, given that larger effect sizes indicate a better understanding of a phenomenon. Also, our study offers information about research domains for which the investigation of moderating effects may be more fruitful and provide information that is likely to facilitate the implementation of Bayesian analysis. Finally, our study offers information that practitioners can use to evaluate the relative effectiveness of various types of interventions.

An empirical study of wearable technology acceptance in healthcare

Abstract: – The purpose of this paper is to investigate the factors associated with consumer’s intention to adopt wearable technology in healthcare, and to examine the moderating effects of product type on consumer’s adoption intention. , – An integrated acceptance model was developed based on unified theory of acceptance and use of technology 2 (UTAUT2), protection motivation theory (PMT), and privacy calculus theory. The model was tested with 462 respondents using a survey. , – Consumer’s decision to adopt healthcare wearable technology is affected by factors from technology, health, and privacy perspectives. Specially, fitness device users care more about hedonic motivation, functional congruence, social influence, perceived privacy risk, and perceived vulnerability, but medical device users pay more attention to perceived expectancy, self-efficacy, effort expectancy, and perceived severity. , – This study is among the first to investigate healthcare wearable device from behavioral perspective. It also helps to comprehensively understand emerging health information technology (HIT) acceptance from technology, health, and privacy perspectives.

The beetle tree of life reveals that Coleoptera survived end‐Permian mass extinction to diversify during the Cretaceous terrestrial revolution

Abstract: © 2015 The Authors. Systematic Entomology published by John Wiley & Sons Ltd on behalf of Royal Entomological Society This is an open access article under the terms of the Creative Commons AttributionߚNonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

cStress: towards a gold standard for continuous stress assessment in the mobile environment

Abstract: Recent advances in mobile health have produced several new models for inferring stress from wearable sensors. But, the lack of a gold standard is a major hurdle in making clinical use of continuous stress measurements derived from wearable sensors. In this paper, we present a stress model (called cStress) that has been carefully developed with attention to every step of computational modeling including data collection, screening, cleaning, filtering, feature computation, normalization, and model training. More importantly, cStress was trained using data collected from a rigorous lab study with 21 participants and validated on two independently collected data sets --- in a lab study on 26 participants and in a week-long field study with 20 participants. In testing, the model obtains a recall of 89% and a false positive rate of 5% on lab data. On field data, the model is able to predict each instantaneous self-report with an accuracy of 72%.

Unsupervised Eye Blink Artifact Denoising of EEG Data with Modified Multiscale Sample Entropy, Kurtosis, and Wavelet-ICA

Abstract: Brain activities commonly recorded using the electroencephalogram (EEG) are contaminated with ocular artifacts. These activities can be suppressed using a robust independent component analysis (ICA) tool, but its efficiency relies on manual intervention to accurately identify the independent artifactual components. In this paper, we present a new unsupervised, robust, and computationally fast statistical algorithm that uses modified multiscale sample entropy (mMSE) and Kurtosis to automatically identify the independent eye blink artifactual components, and subsequently denoise these components using biorthogonal wavelet decomposition. A 95% two-sided confidence interval of the mean is used to determine the threshold for Kurtosis and mMSE to identify the blink related components in the ICA decomposed data. The algorithm preserves the persistent neural activity in the independent components and removes only the artifactual activity. Results have shown improved performance in the reconstructed EEG signals using the proposed unsupervised algorithm in terms of mutual information, correlation coefficient, and spectral coherence in comparison with conventional zeroing-ICA and wavelet enhanced ICA artifact removal techniques. The algorithm achieves an average sensitivity of 90% and an average specificity of 98%, with average execution time for the datasets ( $N = 7$ ) of 0.06 s ( ${\rm SD} = 0.021$ ) compared to the conventional wICA requiring 0.1078 s ( ${\rm SD} = 0.004$ ). The proposed algorithm neither requires manual identification for artifactual components nor additional electrooculographic channel. The algorithm was tested for 12 channels, but might be useful for dense EEG systems.

Simultaneous Reconfiguration, Optimal Placement of DSTATCOM, and Photovoltaic Array in a Distribution System Based on Fuzzy-ACO Approach

Abstract: In this paper, a combination of a fuzzy multiobjective approach and ant colony optimization (ACO) as a metaheuristic algorithm is used to solve the simultaneous reconfiguration and optimal allocation (size and location) of photovoltaic (PV) arrays as a distributed generation (DG) and distribution static compensator (DSTATCOM) as a distribution flexible ac transmission system (DFACT) device in a distribution system. The purpose of this research includes loss reduction, voltage profile (VP) improvement, and increase in the feeder load balancing (LB). The proposed method is validated using the IEEE 33-bus test system and a Tai-Power 11.4-kV distribution system as a real distribution network. The results proved that simultaneous reconfiguration and optimal allocation of PV array and DSTATCOM unit leads to significantly reduced losses, improved VP, and increased LB. Obtained results have been compared with the base value and found that simultaneous placement of PV and DSTATCOM along with reconfiguration is more beneficial than separate single-objective optimization. Also, the proposed fuzzy-ACO approach is more accurate as compared to ACO and other intelligent techniques like fuzzy-genetic algorithm (GA) and fuzzy-particle swarm optimization (PSO).

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

Abstract: One of the challenges in modeling cognitive events from electroencephalogram (EEG) data is finding representations that are invariant to inter- and intra-subject differences, as well as to inherent noise associated with such data. Herein, we propose a novel approach for learning such representations from multi-channel EEG time-series, and demonstrate its advantages in the context of mental load classification task. First, we transform EEG activities into a sequence of topology-preserving multi-spectral images, as opposed to standard EEG analysis techniques that ignore such spatial information. Next, we train a deep recurrent-convolutional network inspired by state-of-the-art video classification to learn robust representations from the sequence of images. The proposed approach is designed to preserve the spatial, spectral, and temporal structure of EEG which leads to finding features that are less sensitive to variations and distortions within each dimension. Empirical evaluation on the cognitive load classification task demonstrated significant improvements in classification accuracy over current state-of-the-art approaches in this field.

Musical Training Orchestrates Coordinated Neuroplasticity in Auditory Brainstem and Cortex to Counteract Age-Related Declines in Categorical Vowel Perception

Abstract: Musicianship in early life is associated with pervasive changes in brain function and enhanced speech-language skills. Whether these neuroplastic benefits extend to older individuals more susceptible to cognitive decline, and for whom plasticity is weaker, has yet to be established. Here, we show that musical training offsets declines in auditory brain processing that accompanying normal aging in humans, preserving robust speech recognition late into life. We recorded both brainstem and cortical neuroelectric responses in older adults with and without modest musical training as they classified speech sounds along an acoustic–phonetic continuum. Results reveal higher temporal precision in speech-evoked responses at multiple levels of the auditory system in older musicians who were also better at differentiating phonetic categories. Older musicians also showed a closer correspondence between neural activity and perceptual performance. This suggests that musicianship strengthens brain-behavior coupling in the aging auditory system. Last, “neurometric” functions derived from unsupervised classification of neural activity established that early cortical responses could accurately predict listeners' psychometric speech identification and, more critically, that neurometric profiles were organized more categorically in older musicians. We propose that musicianship offsets age-related declines in speech listening by refining the hierarchical interplay between subcortical/cortical auditory brain representations, allowing more behaviorally relevant information carried within the neural code, and supplying more faithful templates to the brain mechanisms subserving phonetic computations. Our findings imply that robust neuroplasticity conferred by musical training is not restricted by age and may serve as an effective means to bolster speech listening skills that decline across the lifespan.

The allure of the waterpipe: a narrative review of factors affecting the epidemic rise in waterpipe smoking among young persons globally

Abstract: Objective The objective of this narrative review is to highlight the determinants of the epidemic rise in waterpipe tobacco smoking (WTS) among youth globally. The Ecological Model of Health Promotion (EMHP) was the guiding framework for the review. Data sources The following electronic databases were searched: Cochrane library, MEDLINE, EMBASE, PsycINFO, Web of Science and CINAHL Plus with Full Text. Search terms included waterpipe and its many variant terms. Study selection Articles were included if they were published between 1990 and 2014, were in English, were available in full text and included the age group 10–29 years. Data extraction Articles which analysed determinants of WTS at any of the levels of the EMHP were retained regardless of methodological rigour: 131 articles are included. Articles were coded in a standard template that abstracted methods as well as results. Data synthesis The review found that methodologies used to assess determinants of WTS among youth were often conventional and lacked rigor: 3/4 of the studies were cross-sectional surveys and most enrolled non-representative samples. Within the framework, the review identified determinants of WTS at the intrapersonal, interpersonal, organisational, community and policy levels. Conclusions The review suggests potential interventions to control WTS among youth, with emphasis on creative utilisation of social media, and tobacco control policies that include the specificities of WTS. The review further suggests the need for rigorous qualitative work to better contextualise determinants, and prospective observational and experimental studies that track and manipulate them to assess their viability as intervention targets.

Phylogeny and classification of Cucujoidea and the recognition of a new superfamily Coccinelloidea (Coleoptera: Cucujiformia)

Abstract: A large-scale phylogenetic study is presented for Cucujoidea (Coleoptera), a diverse superfamily of beetles that historically has been taxonomically difficult. This study is the most comprehensive analysis of cucujoid taxa to date, with DNA sequence data sampled from eight genes (four nuclear, four mitochondrial) for 384 coleopteran taxa, including exemplars of 35 (of 37) families and 289 genera of Cucujoidea. Maximum-likelihood analyses of these data present many significant relationships, some proposed previously and some novel. Tenebrionoidea and Lymexyloidea are recovered together and Cleroidea forms the sister group to this clade. Chrysomeloidea and Curculionoidea are recovered as sister taxa and this clade (Phytophaga) forms the sister group to the core Cucujoidea (Cucujoidea s.n.). The nitidulid series is recovered as the earliest-diverging core cucujoid lineage, although the earliest divergences among core Cucujoidea are only weakly supported. The cerylonid series (CS) is recovered as monophyletic and is supported as a major Cucujiform clade, sister group to the remaining superfamilies of Cucujiformia. Currently recognized taxa that were not recovered as monophyletic include Cucujoidea, Endomychidae, Cerylonidae and Bothrideridae. Biphyllidae and Byturidae were recovered in Cleroidea. The remaining Cucujoidea were recovered in two disparate major clades: one comprising the nitidulid series + erotylid series + Boganiidae and Hobartiidae + cucujid series, and the other comprising the cerylonid series. Propalticidae are recovered within Laemophloeidae. The cerylonid series includes two major clades, the bothriderid group and the coccinellid group. Akalyptoischiidae are recovered as a separate clade from Latridiidae. Eupsilobiinae are recovered as the sister taxon to Coccinellidae. In light of these findings, many formal changes to cucujiform beetle classification are proposed. Biphyllidae and Byturidae are transferred to Cleroidea. The cerylonid series is formally recognized as a new superfamily, Coccinelloidea stat.n. Current subfamilies elevated (or re-elevated) to family status include: Murmidiidae stat.n., Teredidae stat.n., Euxestidae stat.n., Anamorphidae stat.rev., Eupsilobiidae stat.n., and Mycetaeidae stat.n. The following taxa are redefined and characterized: Cleroidea s.n., Cucujoidea s.n., Cerylonidae s.n., Bothrideridae s.n., Endomychidae s.n. A new subfamily, Cyclotominae stat.n., is described. Stenotarsinae syn.n. is formally subsumed within a new concept of Endomychinae s.n.

Suicide ideation and bullying among US adolescents: examining the intersections of sexual orientation, gender, and race/ethnicity.

Abstract: Objectives. We examined how race/ethnicity, gender, and sexual orientation shape adolescents’ likelihood of being bullied and vulnerability to suicide ideation.Methods. We analyzed pooled data from the 2009 and 2011 Youth Risk Behavior Surveys (n = 75 344) to assess race/ethnicity, gender, and sexual orientation variation in being bullied and suicide ideation.Results. White and Hispanic gay and bisexual males, White lesbian and bisexual females, and Hispanic bisexual females were more likely to be bullied than were White heterosexual adolescents. Black lesbian, gay, and bisexual youths’ vulnerability to being bullied was not significantly different from that of White heterosexual youths. Black and Hispanic heterosexual youths were less likely to be bullied than were White heterosexual youths. Despite differences in the likelihood of being bullied, sexual minority youths were more likely to report suicide ideation, regardless of their race/ethnicity, their gender, or whether they have been bullied.Conclusi...

Interventions for waterpipe smoking cessation

Abstract: Waterpipe smoking is a traditional method of tobacco use, especially in the Eastern Mediterranean Region, but its use is now spreading worldwide. It is smoked socially, often being shared between friends or family at home, or in dedicated bars and cafes that provide waterpipes to patrons. Because the smoke passes through a reservoir of water, waterpipe tobacco smoking is perceived as being less lethal than other methods of tobacco use. At least in some cultures, women and girls are more likely to use a waterpipe than to use other forms of tobacco, and it is popular among younger smokers. Accumulating evidence suggests that waterpipe smoking may be as addictive as other forms of tobacco use, and may carry similar risks to health. The objective of this review is to evaluate the effectiveness of tobacco cessation interventions for waterpipe users.

Phylogeny and evolution of Staphyliniformia and Scarabaeiformia: forest litter as a stepping stone for diversification of nonphytophagous beetles

Abstract: The beetle series Staphyliniformia exhibits extraordinary taxonomic, ecological and morphological diversity. To gain further insight into staphyliniform relationships and evolution, we reconstructed the phylogeny of Staphyliniformia using DNA sequences from nuclear 28S rDNA and the nuclear protein-coding gene CAD for 282 species representing all living families and most subfamilies, a representative sample of Scarabaeiformia serving as a near outgroup, and three additional beetles as more distant outgroups. Under both Bayesian inference (BI) and maximum likelihood inference (MLI), the major taxa within Staphyliniformia are each monophyletic: (i) Staphylinoidea, (ii) Hydrophiloidea s.l., and the contained superfamilies (iii) Hydrophiloidea s.s. and (iv) Histeroidea, although Staphylinoidea and Hydrophiloidea s.l. are not strongly supported by MLI bootstrap. Scarabaeiformia is monophyletic under both methods of phylogenetic inference. However, the relative relationships of Staphylinoidea, Hydrophiloidea s.l. and Scarabaeiformia differ between BI and MLI: under BI, Staphyliniformia and Scarabaeiformia were sister groups; under MLI, Hydrophiloidea s.l. and Scarabaeiformia were sister groups and these together were sister to Staphylinoidea. The internal relationships in Scarabaeiformia were similar under both methods of phylogenetic inference, with Cetoniinae, Dynastinae + Rutelinae, Hybosoridae, Passalidae, Scarabaeidae and Scarabaeinae recovered as monophyla. Histeridae comprised two major clades: (1) Abraeinae, Trypanaeine and Trypeticinae; and (2) Chlamydopsinae, Dendrophilinae, Haeteriinae, Histerinae, Onthophilinae, Saprininae and Tribalinae. The relationships among early-divergent Hydrophiloidea differed between BI and MLI, and overall were unresolved or received only moderate to low nodal support. The staphylinoid families Agyrtidae, Hydraenidae and Ptiliidae were recovered as monophyletic; the latter two were sister taxa, and Staphylinidae + Silphidae was also monophyletic. Silphidae was placed within Staphylinidae in close relation to a subset of Tachyporinae. Pselaphinae and Scydmaeninae were both recovered within Staphylinidae, in accordance with recent analyses of morphological characters, although not always with recently proposed sister taxa. None of the four major groups of Staphylinidae proposed by Lawrence and Newton (1982) was recovered as monophyletic. Certain highly specialized staphyliniform habits and morphologies, such as abdominal defensive glands and reduced elytra, have arisen in parallel in separate lineages. Further, our analyses support two major transitions to an aquatic lifestyle within Staphyliniformia: once within Staphylinoidea (Hydraenidae), and once within Hydrophiloidea s.l. (Hydrophiloidea s.s.). On a smaller scale, the most common transition is from litter to subcortical or to periaquatic microhabitats and the next most common is from litter to carrion and to fungi. Overall, transitions to periaquatic microhabitats were the most numerous. The broad picture in Staphyliniformia seems to be a high level of evolutionary plasticity, with multiple possible pathways to and from many microhabitat associations, and litter as a major source microhabitat for diversification. In Scarabaeiformia, the most common transitions were from litter to foliage, with flowers to litter, litter to flowers, and litter to dung being next, and then litter to roots, logs or carrion. Litter is again the largest overall source microhabitat. The most common transitions were to foliage and flowers. It thus seems that the litter environment presents ecological and evolutionary opportunities/challenges that facilitate entry of Staphyliniformia and Scarabaeiformia into ‘new’ and different ecological adaptive zones.

Enactive Metaphors: Learning Through Full-Body Engagement

Abstract: Building on both cognitive semantics and enactivist approaches to cognition, we explore the concept of enactive metaphor and its implications for learning. Enactive approaches to cognition involve the idea that online sensory-motor and affective processes shape the way the perceiver-thinker experiences the world and interacts with others. Specifically, we argue for an approach to learning through whole-body engagement in a way that employs enactive metaphors. We summarize recent empirical studies that show enactive metaphors and whole-body involvement in virtual and mixed reality environments support and improve learning.

Cryptochrome 1 regulates the circadian clock through dynamic interactions with the BMAL1 C terminus

Abstract: The molecular circadian clock in mammals is generated from transcriptional activation by the bHLH-PAS transcription factor CLOCK-BMAL1 and subsequent repression by PERIOD and CRYPTOCHROME (CRY). The mechanism by which CRYs repress CLOCK-BMAL1 to close the negative feedback loop and generate 24-h timing is not known. Here we show that, in mouse fibroblasts, CRY1 competes for binding with coactivators to the intrinsically unstructured C-terminal transactivation domain (TAD) of BMAL1 to establish a functional switch between activation and repression of CLOCK-BMAL1. TAD mutations that alter affinities for co-regulators affect the balance of repression and activation to consequently change the intrinsic circadian period or eliminate cycling altogether. Our results suggest that CRY1 fulfills its role as an essential circadian repressor by sequestering the TAD from coactivators, and they highlight regulation of the BMAL1 TAD as a critical mechanism for establishing circadian timing.

Executive Overconfidence and Compensation Structure

Abstract: We examine the impact of overconfidence on compensation structure. We test alternative hypotheses, drawing upon and extending existing theories. Our findings support the exploitation hypothesis: firms offer incentive-heavy compensation contracts to overconfident CEOs to exploit their positively-biased views of firm prospects. Overconfident CEOs receive more option-intensive compensation and this relation increases with CEO bargaining power. Exogenous shocks (SOX and FAS 123R) provide additional support for the findings. Overconfident non-CEO executives also receive more incentive-based pay, independent of CEO overconfidence, buttressing the notion that firms tailor compensation contracts to individual behavioral traits such as overconfidence.

Intelligent Tutoring Systems by and for the Developing World: A Review of Trends and Approaches for Educational Technology in a Global Context

Abstract: As information and communication technology access expands in the developing world, learning technologies have the opportunity to play a growing role to enhance and supplement strained educational systems. Intelligent tutoring systems (ITS) offer strong learning gains, but are a class of technology traditionally designed for most-developed countries. Recently, closer consideration has been made to ITS targeting the developing world and to culturally-adapted ITS. This paper presents findings from a systematic literature review that focused on barriers to ITS adoption in the developing world. While ITS were the primary focus of the review, the implications likely apply to a broader range of educational technology as well. The geographical and economic landscape of tutoring publications is mapped out, to determine where tutoring systems research occurs. Next, the paper discusses challenges and promising solutions for barriers to ITS within both formal and informal settings. These barriers include student basic computing skills, hardware sharing, mobile-dominant computing, data costs, electrical reliability, internet infrastructure, language, and culture. Differences and similarities between externally-developed and locally-developed tutoring system research for the developing world are then considered. Finally, this paper concludes with some potential future directions and opportunities for research on tutoring systems and other educational technologies on the global stage.

Future research directions for the wind turbine generator system

Abstract: The headway of wind power generation is a great blessing to help meet up the electrical power demand day by day. The strongest challenges for wind energy conversion system (WECS) are to handle the intermittency of wind and to maintain the grid reliability. The power electronics and energy storage systems are essential elements of the WECS. This paper attempts to provide various new directions to the future wind energy researchers to improve the wind turbine aerodynamics, electric generators׳ configurations with improved control of power electronics and lower cost energy storage system for designing a reliable wind turbine generator system. This study will work as a guideline for the researchers to understand the development and requirement of a reliable and smart wind energy conversion system.

puffMarker: a multi-sensor approach for pinpointing the timing of first lapse in smoking cessation

Abstract: Recent researches have demonstrated the feasibility of detecting smoking from wearable sensors, but their performance on real-life smoking lapse detection is unknown. In this paper, we propose a new model and evaluate its performance on 61 newly abstinent smokers for detecting a first lapse. We use two wearable sensors --- breathing pattern from respiration and arm movements from 6-axis inertial sensors worn on wrists. In 10-fold cross-validation on 40 hours of training data from 6 daily smokers, our model achieves a recall rate of 96.9%, for a false positive rate of 1.1%. When our model is applied to 3 days of post-quit data from 32 lapsers, it correctly pinpoints the timing of first lapse in 28 participants. Only 2 false episodes are detected on 20 abstinent days of these participants. When tested on 84 abstinent days from 28 abstainers, the false episode per day is limited to 1/6.

Organizational embeddedness, turnover intentions, and voluntary turnover: The moderating effects of employee demographic characteristics and value orientations

Abstract: To explain why some employees who experience high embeddedness contemplate leaving their organizations and others do not, we examined the moderating effects of employee demographic characteristics (age and gender) and value orientations (individualism and risk aversion) between organizational embeddedness and turnover intentions. Turnover intentions were further expected to increase voluntary turnover. Data were collected from 643 full-time employees at three points in time over a 12-month time period in a wide range of organizations in Japan, a relatively low turnover context with little prior embeddedness research. Findings show that gender and risk aversion moderate the relationship between organizational embeddedness and turnover intentions, which in turn predict voluntary turnover.

Morphology, Taxonomy, and Phylogenetics of Bark Beetles

Abstract: This chapter summarizes the historical and contemporary taxonomy, phylogenetic relationships, morphological and molecular approaches, and information resources used in the classification of bark and ambrosia beetles (Coleoptera: Curculionidae: Scolytinae). The chapter pays special attention to the description of methods, including details on morphological and molecular characters on which the current classification is based. Illustrations and a detailed glossary of representative groups will allow users to understand the morphology of bark beetles. Relationships are illustrated by an up-to-date consensus phylogenetic tree. Diversity of the group, as well as individual tribes and genera, are exhaustively tabulated for the first time. Controversies surrounding the evolutionary origins of bark beetles and ambiguities in their morphology and classification are also discussed.

Cr(VI) removal by magnetic carbon nanocomposites derived from cellulose at different carbonization temperatures

Abstract: Magnetic carbon nanoadsorbents fabricated by using cellulose and Fe(NO3)3 as the carbon and iron precursors have demonstrated great Cr(VI) removal performance. The magnetic carbon synthesized at a carbonization temperature of 700 °C and a heating rate of 10 °C min−1 (MC7–10) has a greater Cr(VI) removal capacity (22.8 mg g−1) in neutral solutions due to its larger specific surface area (247.14 m2 g−1). Moreover, the magnetic carbon fabricated at a carbonization temperature of 800 °C and a heating rate of 10 °C min−1 (MC8–10) has the highest Cr(VI) removal capacity (278.8 mg g−1) in acidic solutions, much higher than those of cellulose (12.0 mg g−1), zero valent iron (ZVI)/chitosan (55.8 mg g−1) and ZVI doped ordered mesoporous carbon (256.86 mg g−1). The high removal capacity was attributed to its higher content of ZVI and specific surface area (136.27 m2 g−1) of MC8–10. The reduction of Cr(VI) to Cr(III) by the oxidation of carbon layer as well as the ZVI in the acidic solution was verified as the main mechanism for Cr(VI) removal. Moreover, the nanoadsorbents could be easily separated from solution by using a permanent magnet after being treated with Cr(VI).