330 research outputs found

    sj-docx-1-sms-10.1177_20563051231196899 – Supplemental material for Does Social Media Use Polarize or Depolarize Political Opinion in China? Explaining Opinion Polarization Within an Extended Communication Mediation Model

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    Supplemental material, sj-docx-1-sms-10.1177_20563051231196899 for Does Social Media Use Polarize or Depolarize Political Opinion in China? Explaining Opinion Polarization Within an Extended Communication Mediation Model by Jing Guo and Yang Hu in Social Media + Society</p

    Strain-Induced Conductance Modulation in Graphene Grain Boundary

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    Grain boundaries (GBs) are ubiquitous in polycrystalline graphene materials obtained by various growth methods. It has been shown previously that considerable electrical transport gap can be opened by grain boundaries. On the other hand, polycrystalline graphene with GBs is an atomically thin membrane that can sustain extraordinary amount of strain. Here, by using atomistic quantum transport numerical simulations, we examine modulation of electrical transport properties of graphene GBs. The results indicate the modulation of transport gap and electrical conductance strongly depends on the topological structure of the GB. The transport gap of certain GBs can be significantly widened by strain, which is useful for improving the on–off ratio in potential transistor applications and for applications as monolayer strain sensors

    Binding Specificity and Thermodynamics of Cellulose-Binding Modules from Trichoderma reesei Cel7A and Cel6A

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    In this work, Family 1 cellulose binding modules CBM<sub>Cel7A</sub> and CBM<sub>Cel6A</sub> were heterologously expressed and purified from Escherichia coli, and the binding properties between these CBMs and cellulose substrates were studied. Cellulose nanowhiskers (CNWs, the crystalline portion of cellulose), microcrystalline cellulose Avicel PH101 (partially crystalline cellulose), and phosphoric acid swollen cellulose (PASC, amorphous cellulose) were used as representative models for cellulose to better understand the binding interactions between the CBMs and different regions of native cellulose. Isothermal titration calorimetry (ITC) was combined with adsorption-isotherm experiment to analyze the thermodynamics of CBM binding to various cellulose substrates. N<sub>2</sub> adsorption and static light scattering (SLS) data were used to estimate the accessible surface area of cellulose which was then used for ITC data analysis. A new method of determining the cellulose molarity based on the available surface area for CBM binding was developed, which allows different cellulose substrates to be compared for binding experiments. The ITC results showed that the binding constant (<i>K</i><sub>a</sub>) to crystalline CNWs was ∼10<sup>5</sup> M<sup>–1</sup> for CBM<sub>Cel7A</sub>, while ∼10<sup>6</sup> M<sup>–1</sup> for CBM<sub>Cel6A</sub>, suggesting a higher binding affinity of CBM<sub>Cel6A</sub> to CNWs. For Avicel, lower binding constants for both CBMs were observed, and weak bindings to PASC were characterized, suggesting that the binding between CBM<sub>Cel7A,Cel6A</sub> and cellulose to some extent relates to the crystallinity of cellulose. Additionally, the binding reactions were driven by a favorable enthalpy change, offset partially by an unfavorable entropy change. It is suggested that CBM<sub>Cel6A</sub> preferentially binds to the reducing end of cellulose chain, while CBM<sub>Cel7A</sub> does not show such end binding specificities. Cello-oligosaccharides less than two glucose units did not bind with CBMs, and improved binding affinities were observed for cello-oligosaccharides with longer glucose units

    sj-dta-2-hpq-10.1177_13591053221124374 – Supplemental material for The associations of pandemic-related difficulties with depressive symptoms and psychological growth among American older adults: Social support as moderators

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    Supplemental material, sj-dta-2-hpq-10.1177_13591053221124374 for The associations of pandemic-related difficulties with depressive symptoms and psychological growth among American older adults: Social support as moderators by Mingqi Fu, Jing Guo and Qilin Zhang in Journal of Health Psychology</p

    sj-smcl-4-hpq-10.1177_13591053221124374 – Supplemental material for The associations of pandemic-related difficulties with depressive symptoms and psychological growth among American older adults: Social support as moderators

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    Supplemental material, sj-smcl-4-hpq-10.1177_13591053221124374 for The associations of pandemic-related difficulties with depressive symptoms and psychological growth among American older adults: Social support as moderators by Mingqi Fu, Jing Guo and Qilin Zhang in Journal of Health Psychology</p

    DNABP: Identification of DNA-Binding Proteins Based on Feature Selection Using a Random Forest and Predicting Binding Residues

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    <div><p>DNA-binding proteins are fundamentally important in cellular processes. Several computational-based methods have been developed to improve the prediction of DNA-binding proteins in previous years. However, insufficient work has been done on the prediction of DNA-binding proteins from protein sequence information. In this paper, a novel predictor, DNABP (DNA-binding proteins), was designed to predict DNA-binding proteins using the random forest (RF) classifier with a hybrid feature. The hybrid feature contains two types of novel sequence features, which reflect information about the conservation of physicochemical properties of the amino acids, and the binding propensity of DNA-binding residues and non-binding propensities of non-binding residues. The comparisons with each feature demonstrated that these two novel features contributed most to the improvement in predictive ability. Furthermore, to improve the prediction performance of the DNABP model, feature selection using the minimum redundancy maximum relevance (mRMR) method combined with incremental feature selection (IFS) was carried out during the model construction. The results showed that the DNABP model could achieve 86.90% accuracy, 83.76% sensitivity, 90.03% specificity and a Matthews correlation coefficient of 0.727. High prediction accuracy and performance comparisons with previous research suggested that DNABP could be a useful approach to identify DNA-binding proteins from sequence information. The DNABP web server system is freely available at <a href="http://www.cbi.seu.edu.cn/DNABP/" target="_blank">http://www.cbi.seu.edu.cn/DNABP/</a>.</p></div

    sj-pdf-3-hpq-10.1177_13591053221124374 – Supplemental material for The associations of pandemic-related difficulties with depressive symptoms and psychological growth among American older adults: Social support as moderators

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    Supplemental material, sj-pdf-3-hpq-10.1177_13591053221124374 for The associations of pandemic-related difficulties with depressive symptoms and psychological growth among American older adults: Social support as moderators by Mingqi Fu, Jing Guo and Qilin Zhang in Journal of Health Psychology</p

    sj-do-1-hpq-10.1177_13591053221124374 – Supplemental material for The associations of pandemic-related difficulties with depressive symptoms and psychological growth among American older adults: Social support as moderators

    No full text
    Supplemental material, sj-do-1-hpq-10.1177_13591053221124374 for The associations of pandemic-related difficulties with depressive symptoms and psychological growth among American older adults: Social support as moderators by Mingqi Fu, Jing Guo and Qilin Zhang in Journal of Health Psychology</p

    Comparison of the performances of various features using the RF algorithm based on Mainset with five-fold cross-validation

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    <p>Comparison of the performances of various features using the RF algorithm based on Mainset with five-fold cross-validation</p

    Comparison of the performances of various dataset using the RF algorithm based on 292 features with five-fold cross-validation

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    <p>Comparison of the performances of various dataset using the RF algorithm based on 292 features with five-fold cross-validation</p
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