Layer-by-Layer Assembly of a Self-Healing Anticorrosion Coating on Magnesium Alloys

Fabrication of self-healing anticorrosion coatings has attracted attention as it has the ability to extend the service life and prevent the substrate from corrosive attack. However, a coating system with a rapid self-healing ability and an improved corrosion resistance is rarely reported. In this work, we developed a self-healing anticorrosion coating on a magnesium alloy (AZ31). The coating comprises a cerium-based conversion layer, a graphene oxide layer, and a branched poly­(ethylene imine) (PEI)/poly­(acrylic acid) (PAA) multilayer. We incorporated the graphene oxide as corrosion inhibitors and used the PEI/PAA multilayers to provide the self-healing ability to the coating systems. X-ray diffraction (XRD) and Raman spectroscopy were used to characterize the composition of the multilayers, and scanning electron microscopy (SEM) was used to analyze the surface morphology. The electrochemical impedance spectroscopy (EIS) results illustrate the improved corrosion resistance of the coating. The proposed coating also has a rapid self-healing ability in the presence of water

Supplementary document for The reflective optical analog computing system based on cholesteric liquid crystal - 6170893.pdf

the theory of the optical analog computin

Additional file 1: of Screening for distress in patients with primary brain tumor using distress thermometer: a systematic review and meta-analysis

Meta-analysis of the prevalence of distress symptoms among brain tumor patients stratified by study-level characteristics. (DOC 40 kb

Cd_<i>x</i>Pb_1–<i>x</i>S Alloy Nanowires and Heterostructures with Simultaneous Emission in Mid-Infrared and Visible Wavelengths

Alloying of CdS and PbS could potentially provide an important semiconductor with a wide range of bandgaps, with bandedge emission from mid-infrared to visible green, for various optoelectronic applications. We investigate the possibility of CdPbS alloy formation in nanowire and nanobelt forms, especially the dependence of alloy composition on two different cooling routes. Our results show that rapid cooling immediately after the growth phase can lead to a high-quality uniform alloy with Cd composition larger than possible at thermal equilibrium and by natural cooling. On the contrary, unassisted natural cooling leads to the formation of axial or core–shell heterostructures, containing segments with pure CdS and CdPbS alloys with lower Cd content than through rapid cooling. Such heterostructures with green and mid-infrared emission provide simultaneous access to two widely separated wavelengths from a single monolithic structure and can be important for many applications. Our results can help identify strategies for growing nanostructures with uniform alloy of high Cd incorporation, core–shell structures with shell serving as a passivating or protecting layer, or interesting longitudinal heterostructures. Both various heterostructures and uniform alloys of these materials could be important for high-efficiency solar cells, novel detectors, and nanolasing in wide spectral ranges

Additional file 2: of Screening for distress in patients with primary brain tumor using distress thermometer: a systematic review and meta-analysis

Meta-analysis of the prevalence of distress symptoms among brain tumor patients stratified by study design (A), country (B), sample size (C), year (D) and distress scale cut-off (E). CI, confidence interval. (ZIP 6618 kb

Additional file 4: of CpG site methylation in CRYAA promoter affect transcription factor Sp1 binding in human lens epithelial cells

Row data of qRT-PCR for CRYAA after Zebularine treatment, Experiment 3. It is the rata data of the third experiment described above. (XLS 2630 kb

A Graph Neural Network Model with a Transparent Decision-Making Process Defines the Applicability Domain for Environmental Estrogen Screening

The application of deep learning (DL) models for screening environmental estrogens (EEs) for the sound management of chemicals has garnered significant attention. However, the currently available DL model for screening EEs lacks both a transparent decision-making process and effective applicability domain (AD) characterization, making the reliability of its prediction results uncertain and limiting its practical applications. To address this issue, a graph neural network (GNN) model was developed to screen EEs, achieving accuracy rates of 88.9% and 92.5% on the internal and external test sets, respectively. The decision-making process of the GNN model was explored through the network-like similarity graphs (NSGs) based on the model features (FT). We discovered that the accuracy of the predictions is dependent on the feature distribution of compounds in NSGs. An AD characterization method called ADFT was proposed, which excludes predictions falling outside of the model’s prediction range, leading to a 15% improvement in the F1 score of the GNN model. The GNN model with the AD method may serve as an efficient tool for screening EEs, identifying 800 potential EEs in the Inventory of Existing Chemical Substances of China. Additionally, this study offers new insights into comprehending the decision-making process of DL models

A Graph Neural Network Model with a Transparent Decision-Making Process Defines the Applicability Domain for Environmental Estrogen Screening

The application of deep learning (DL) models for screening environmental estrogens (EEs) for the sound management of chemicals has garnered significant attention. However, the currently available DL model for screening EEs lacks both a transparent decision-making process and effective applicability domain (AD) characterization, making the reliability of its prediction results uncertain and limiting its practical applications. To address this issue, a graph neural network (GNN) model was developed to screen EEs, achieving accuracy rates of 88.9% and 92.5% on the internal and external test sets, respectively. The decision-making process of the GNN model was explored through the network-like similarity graphs (NSGs) based on the model features (FT). We discovered that the accuracy of the predictions is dependent on the feature distribution of compounds in NSGs. An AD characterization method called ADFT was proposed, which excludes predictions falling outside of the model’s prediction range, leading to a 15% improvement in the F1 score of the GNN model. The GNN model with the AD method may serve as an efficient tool for screening EEs, identifying 800 potential EEs in the Inventory of Existing Chemical Substances of China. Additionally, this study offers new insights into comprehending the decision-making process of DL models

Inhibitory Effects of Vinpocetine on the Progression of Atherosclerosis Are Mediated by Akt/NF-κB Dependent Mechanisms in apoE^-/- Mice

<div><p>Background</p><p>Recent studies have found additional roles for vinpocetine, a potent phosphodiesterase type I inhibitor, in anti-proliferation and anti-inflammation of vascular smooth muscle cells and cancer cells via different mechanisms. In this study, we attempted to investigate whether vinpocetine protected against atherosclerotic development in apoE^-/- mice and explore the underlying anti-atherogenic mechanisms in macrophages.</p> <p>Methodology/Principal Findings</p><p>Vinpocetine markedly decreased atherosclerotic lesion size in apoE^-/- mice measured by oil red O. Masson’s trichrome staining and immunohistochemical analyses revealed that vinpocetine significantly increased the thickness of fibrous cap, reduced the size of lipid-rich necrotic core and attenuated inflammation. <i>In</i><i>vitro</i> experiments exhibited a significant decrease in monocyte adhesion treated with vinpocetine. Further, active TNF-α, IL-6, monocyte chemoattractant protein-1and matrix metalloproteinase-9 expression induced by ox-LDL were attenuated by vinpocetine in a dose-dependent manner. Similarly, ox-LDL-induced reactive oxygen species were significantly repressed by vinpocetine. Both western blot and luciferase activity assay showed that vinpocetine inhibited the enhanced Akt, IKKα/β, IκBα phosphorylation and NF-κB activity induced by ox-LDL, and the inhibition of NF-κB activity was partly caused by Akt dephosphorylation. However, knockdown of PDE1B did not affect Akt, IKKα/β and IκBα phosphorylation.</p> <p>Conclusions</p><p>These results suggest that vinpocetine exerts anti-atherogenic effects through inhibition of monocyte adhesion, oxidative stress and inflammatory response, which are mediated by Akt/NF-κB dependent pathway but independent of PDE1 blockade in macrophages.</p> </div

Identification of the Zn-finger target site and deletion in the Dusp5 KO strain.

<p><b>Panel A</b> presents a schematic model of the Dusp5 protein. The Dusp5 Zinc-finger construct targets amino acids (AA) 92–96 in the N-terminal regulatory rhodanese domain (AA5-140) resulting in the <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0112878#s1" target="_blank">introduction</a> of a premature stop codon at AA121 that is predicted to produce a truncated protein. The Dusp5 antibody used in these studies targets AA286-384 in the C-terminal phosphatase catalytic domain (AA178-314). <b>Panel B</b> presents a comparison of I-TASSER predicted structure and the folding of the Dusp5 protein in FHH (155R) and FHH.1^BN (155G) rats. The upper panels show the predicted structure of the Dusp5 protein in both strains based on the complete AA sequence. The putative catalytic triad (Asp232/Ser268/Cys263) is shown in a “stick figure” form and the 3-letter AA codes are labeled in black. The rest of the protein is represented as ribbon running along the backbone. Secondary structural elements are depicted by color with helices, beta sheets and coils represented in red, cyan and white, respectively. The putative catalytic triad is magnified and shown in “stick figure” form in the lower panel and the 3-letter AA codes are labeled with in black. Only residues 174–320 of Dusp5 protein are presented in order to enhance the view of the putative catalytic triad. There are significant structural differences both in the overall folding of the Dusp5 protein that impact on the structure of the active site/catalytic triad region between the strains. This may account for the observed differences in the activity of the Dusp5 protein in FHH versus FHH.1^BN rats.</p