Publications by authors named "Ying Zeng"

323 Publications

Reorganization of Hydrogen Bonding in Biobased Polyamide 5,13 under the Thermo-Mechanical Field: Hierarchical Microstructure Evolution and Achieving Excellent Mechanical Performance.

Biomacromolecules 2022 Aug 12. Epub 2022 Aug 12.

College of Polymer Science and Engineering, State Key Laboratory of Polymer Materials Engineering, Sichuan University, Chengdu 610065, People's Republic of China.

The hierarchical microstructure evolution of an emerging biobased odd-odd polyamide 5,13 (PA5,13) films under the thermo-mechanical field, stepping from hydrogen bond (H-bond) arrangement to the crystalline morphology, has been investigated systematically. It is found that the reorganization of H-bonds under the thermo-mechanical field plays a crucial role in the crystallization of PA5,13. Especially, it is revealed that the crystallization process under the thermo-mechanical field develops along the chain axis direction, while lamellar fragmentation occurs perpendicular to the chain axis. Consequently, a stable and well-organized H-bond arrangement and lengthened lamellae with significant orientation have been constructed. Laudably, an impressive tensile strength of about 500 MPa and modulus of about 4.7 GPa are thus achieved. The present study could provide important guidance for the industrial-scale manufacture of high-performance biobased odd-odd PAs with long polymethylene segment in the dicarboxylic unit combined with a large difference between the polymethylene segments in the dicarboxylic and diamine units.
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http://dx.doi.org/10.1021/acs.biomac.2c00826DOI Listing
August 2022

Low-Triggering-Potential Single-Color Electrochemiluminescence from Bovine Serum Albumin-Stabilized Unary Au Nanocrystals for Immunoassays.

Anal Chem 2022 Aug 9. Epub 2022 Aug 9.

School of Chemistry and Chemical Engineering, Shandong University, Jinan 250100, China.

Herein, low-triggering-potential (LTP) electrochemiluminescence (ECL) with an onset around 0.0 V (vs Ag/AgCl) is proposed with bovine serum albumin (BSA)-stabilized Au nanocrystals (BSA-AuNCs) as a luminophore and hydrazine hydrate (NH) as a coreactant. The BSA-AuNCs/NH system can exhibit efficient LTP-ECL around 0.37 V with the luminophore of both monodispersed and surface-confined states. The LTP-ECL of BSA-AuNCs/NH is a kind of single-color emission with a maximum emission wavelength around 740 nm, which is obviously red-shifted for 80 nm from that of BSA-AuNCs PL, and indicates that the ECL is generated in a surface-defect-involved route instead of the band-gap-engineered route. Importantly, BSA-AuNCs can be utilized as ECL tags to perform sandwich-type immunoassays with acceptable sensitivity and selectivity, which exhibits a wide linear response for determining CA125 from 0.5 to 1000 mU/mL and a limit of detection of 0.05 mU/mL (S/N = 3).
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http://dx.doi.org/10.1021/acs.analchem.2c02474DOI Listing
August 2022

Development and validation of a multiplex typing system with 32 Y-STRs for forensic application.

Forensic Sci Int 2022 Jul 22;339:111409. Epub 2022 Jul 22.

Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangdong, China; Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China; Guangzhou Forensic Science Institute, Guangzhou, China. Electronic address:

Y-chromosomal short tandem repeats (Y-STRs) with high mutation rates will increase the potential to distinguish related males and improve discrimination capacity. The newly developed Y32 kit is a six-dye multiplex amplification kit that contains 21 rapidly mutating Y-STR loci (DYF387S1a/b, DYF399S1a/b/c, DYF403S1a1/a2/a3/b, DYF404S1a/b, DYS449, DYS518, DYS526a/b, DYS547, DYS570, DYS576, DYS612, DYS626, and DYS627), 8 fast mutating Y-STR loci (DYS458, DYS464a/b/c/d, DYS516, DYS534, and DYS713), and 3 moderately mutating Y-STR loci (Y-GATA-A10, DYS630, and DYS446). To verify the efficiency and accuracy of the Y32 kit, PCR reaction conditions, sensitivity, mixture, concordance, inhibition, species specificity, case samples, reproducibility, sizing precision, stutter, and population study were studied according to the SWGDAM developmental validation guidelines. The results showed that the Y32 kit is efficient, accurate, reliable, and highly informative for forensic applications.
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http://dx.doi.org/10.1016/j.forsciint.2022.111409DOI Listing
July 2022

Insights on Gut and Skin Wound Microbiome in Stranded Indo-Pacific Finless Porpoise ().

Microorganisms 2022 Jun 27;10(7). Epub 2022 Jun 27.

Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Science, Shantou University, Shantou 515063, China.

The gut microbiome is a unique marker for cetaceans' health status, and the microbiome composition of their skin wounds can indicate a potential infection from their habitat. Our study provides the first comparative analysis of the microbial communities from gut regions and skin wounds of an individual Indo-Pacific finless porpoise (). Microbial richness increased from the foregut to the hindgut with variation in the composition of microbes. (67.51% ± 5.10%), (22.00% ± 2.60%), and (10.47% ± 5.49%) were the dominant phyla in the gastrointestinal tract, while Proteobacteria (76.11% ± 0.54%), (22.00% ± 2.60%), and (10.13% ± 0.49%) were the dominant phyla in the skin wounds. The genera , , , , , and , considered potential pathogens for mammals, were identified in the gut and skin wounds of the stranded Indo-Pacific finless porpoise. A comparison of the gut microbiome in the Indo-Pacific finless porpoise and other cetaceans revealed a possible species-specific gut microbiome in the Indo-Pacific finless porpoise. There was a significant difference between the skin wound microbiomes in terrestrial and marine mammals, probably due to habitat-specific differences. Our results show potential species specificity in the microbiome structure and a potential threat posed by environmental pathogens to cetaceans.
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http://dx.doi.org/10.3390/microorganisms10071295DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318903PMC
June 2022

Predicting the Severity of Neurological Impairment Caused by Ischemic Stroke Using Deep Learning Based on Diffusion-Weighted Images.

J Clin Med 2022 Jul 11;11(14). Epub 2022 Jul 11.

Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, China.

To develop a preliminary deep learning model that uses diffusion-weighted imaging (DWI) images to classify the severity of neurological impairment caused by ischemic stroke. This retrospective study included 851 ischemic stroke patients (711 patients in the training set and 140 patients in the test set). The patients' NIHSS scores, which reflect the severity of neurological impairment, were reviewed upon admission and on Day 7 of hospitalization and were classified into two stages (stage 1 for NIHSS < 5 and stage 2 for NIHSS ≥ 5). A 3D-CNN was trained to predict the stage of NIHSS based on different preprocessed DWI images. The performance in predicting the severity of anterior and posterior circulation stroke was also investigated. The AUC, specificity, and sensitivity were calculated to evaluate the performance of the model. Our proposed model obtained better performance in predicting the NIHSS stage on Day 7 of hospitalization than that at admission (best AUC 0.895 vs. 0.846). Model D trained with DWI images (normalized with z-score and resized to 256 × 256 × 64 voxels) achieved the best AUC of 0.846 in predicting the NIHSS stage at admission. Model E rained with DWI images (normalized with maximum-minimum and resized to 128 × 128 × 32 voxels) achieved the best AUC of 0.895 in predicting the NIHSS stage on Day 7 of hospitalization. Our model also showed promising performance in predicting the NIHSS stage on Day 7 of hospitalization for anterior and posterior circulation stroke, with the best AUCs of 0.905 and 0.903, respectively. Our proposed 3D-CNN model can effectively predict the neurological severity of IS using DWI images and performs better in predicting the NIHSS stage on Day 7 of hospitalization. The model also obtained promising performance in subgroup analysis, which can potentially help clinical decision making.
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http://dx.doi.org/10.3390/jcm11144008DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325315PMC
July 2022

Mechanical Insights into the Electrochemical Properties of Thornlike Micro-/Nanostructures of [email protected]@NMC Composites in Aqueous Zn Ion Batteries.

ACS Appl Mater Interfaces 2022 Aug 26;14(31):36079-36091. Epub 2022 Jul 26.

College of Materials Science and Engineering, Hunan University, Hunan joint international laboratory of advanced materials and technology for clean energy, Changsha 410082, P. R. China.

As emerging energy storage devices, aqueous zinc ion batteries (AZIBs) with outstanding advantages of high safety, high energy density, and environmental friendliness have attracted much research interest. Herein, the favorable thornlike MnO micro-/nanostructures ([email protected]@NMC) are rationally constructed by the incorporation of both carbon substrates (NMC) and polydopamine (PDA) surface modifications. Ex situ X-ray diffraction and Raman characteristics show the formation of MnOOH and ZnMnO products, corresponding to H and Zn insertions in two discharge platforms. Density functional theory (DFT) calculations also demonstrate that PDA can firmly anchor onto MnO surfaces and prevent the dissolution of MnOOH. In addition, PDA with more hydrophilic groups can capture more H together with the increased surface capacitance and the extension of the first discharge platform, while the NMC carbon substrate can provide abundant active sites for the overgrown MnO nanowires, improve the conductivity, and promote fast ion and electron transportations. Further, electrochemical impedance spectroscopy (EIS) and GITT results show that the ohmic resistance of [email protected]@NMC decreases to almost half and, in particular, the ion diffusion coefficient increases more than 30 times of pure MnO. As such, [email protected]@NMC in the AZIB cathode exhibits excellent electrochemical performance compared to the pure MnO, which is expected to have favorable competitiveness in energy storage devices.
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http://dx.doi.org/10.1021/acsami.2c06368DOI Listing
August 2022

A red-emissive benzothiazole-based luminophore with ESIPT and AIE natures and its application for detecting and imaging hypochlorous acid.

Spectrochim Acta A Mol Biomol Spectrosc 2022 Nov 6;281:121601. Epub 2022 Jul 6.

Key Laboratory of Chemical Sensing and Catalysis, Hengyang Key Laboratory of New Detection Technology and Biological Agents of Animal Microorganism, College of Chemistry and Materials Science, Hengyang Normal University, Hengyang 421008, PR China. Electronic address:

A new "ESIPT + AIE" based dye of benzothiazole with red emission and a large Stokes shift was constructed by combining 2-(2'-hydroxyphenyl)benzothiazole as the ESIPT unit and α-cyanostilbene as the AIE unit. The compound BACN was found to be a ideal HClO chemosensor, and presented palpable fluorescence and colorimetric responses toward HClO via the HClO-trigged oxidation cleavage of the ethylene bridge activated by the electron withdrawing cyano group. BACN was capable of recognizing HClO rapidly (12 s) and sensitively under physiological conditions, with good selectivity over other biologically pertinent substances. Thanks to strong red emission (λ = 606 nm) and large Stokes shift (213 nm) resulted from the combination of ESIPT and AIE effects, it was successfully utilized for the recognition of exogenous and endogenous HClO in living HeLa cells.
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http://dx.doi.org/10.1016/j.saa.2022.121601DOI Listing
November 2022

EEG Identity Authentication in Multi-Domain Features: A Multi-Scale 3D-CNN Approach.

Front Neurorobot 2022 16;16:901765. Epub 2022 Jun 16.

Henan Key Laboratory of Imaging and Intelligent Processing, People's Liberation Army (PLA) Strategic Support Force Information Engineering University, Zhengzhou, China.

Electroencephalogram (EEG) authentication has become a research hotspot in the field of information security due to its advantages of living, internal, and anti-stress. However, the performance of identity authentication system is limited by the inherent attributes of EEG, such as low SNR, low stability, and strong randomness. Researchers generally believe that the in-depth fusion of features can improve the performance of identity authentication and have explored among various feature domains. This experiment invited 70 subjects to participate in the EEG identity authentication task, and the experimental materials were visual stimuli of the self and non-self-names. This paper proposes an innovative EEG authentication framework, including efficient three-dimensional representation of EEG signals, multi-scale convolution structure, and the combination of multiple authentication strategies. In this work, individual EEG signals are converted into spatial-temporal-frequency domain three-dimensional forms to provide multi-angle mixed feature representation. Then, the individual identity features are extracted by the various convolution kernel of multi-scale vision, and the strategy of combining multiple convolution kernels is explored. The results show that the small-size and long-shape convolution kernel is suitable for ERP tasks, which can obtain better convergence and accuracy. The experimental results show that the classification performance of the proposed framework is excellent, and the multi-scale convolution method is effective to extract high-quality identity characteristics across feature domains. The results show that the branch number matches the EEG component number can obtain the excellent cost performance. In addition, this paper explores the network training performance for multi-scale module combination strategy and provides reference for deep network construction strategy of EEG signal processing.
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http://dx.doi.org/10.3389/fnbot.2022.901765DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243312PMC
June 2022

SAST-GCN: Segmentation Adaptive Spatial Temporal-Graph Convolutional Network for P3-Based Video Target Detection.

Front Neurosci 2022 2;16:913027. Epub 2022 Jun 2.

Henan Key Laboratory of Imaging and Intelligent Processing, People's Liberation Army of China (PLA) Strategic Support Force Information Engineering University, Zhengzhou, China.

Detecting video-induced P3 is crucial to building the video target detection system based on the brain-computer interface. However, studies have shown that the brain response patterns corresponding to video-induced P3 are dynamic and determined by the interaction of multiple brain regions. This paper proposes a segmentation adaptive spatial-temporal graph convolutional network (SAST-GCN) for P3-based video target detection. To make full use of the dynamic characteristics of the P3 signal data, the data is segmented according to the processing stages of the video-induced P3, and the brain network connections are constructed correspondingly. Then, the spatial-temporal feature of EEG data is extracted by adaptive spatial-temporal graph convolution to discriminate the target and non-target in the video. Especially, a style-based recalibration module is added to select feature maps with higher contributions and increase the feature extraction ability of the network. The experimental results demonstrate the superiority of our proposed model over the baseline methods. Also, the ablation experiments indicate that the segmentation of data to construct the brain connection can effectively improve the recognition performance by reflecting the dynamic connection relationship between EEG channels more accurately.
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http://dx.doi.org/10.3389/fnins.2022.913027DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201684PMC
June 2022

Chromosome-level and haplotype-resolved genome provides insight into the tetraploid hybrid origin of patchouli.

Nat Commun 2022 06 18;13(1):3511. Epub 2022 Jun 18.

Institute of Medicinal Plant Physiology and Ecology, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.

Patchouli (Pogostemon cablin (Blanco) Benth.), a member of the Lamiaceae family, is an important aromatic plant that has been widely used in medicine and perfumery. Here, we report a 1.94 Gb chromosome-scale assembly of the patchouli genome (contig N50 = 7.97 Mb). The gene annotation reveals that tandem duplication of sesquiterpene biosynthetic genes may be a major contributor to the biosynthesis of patchouli bioactivity components. We further phase the genome into two distinct subgenomes (A and B), and identify a chromosome substitution event that have occurred between them. Further investigations show that a burst of universal LTR-RTs in the A subgenome lead to the divergence between two subgenomes. However, no significant subgenome dominance is detected. Finally, we track the evolutionary scenario of patchouli including whole genome tetraploidization, subgenome divergency, hybridization, and chromosome substitution, which are the key forces to determine the complexity of patchouli genome. Our work sheds light on the evolutionary history of patchouli and offers unprecedented genomic resources for fundamental patchouli research and elite germplasm development.
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http://dx.doi.org/10.1038/s41467-022-31121-wDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206139PMC
June 2022

Surface-Preferred Crystal Plane Growth Enabled by Underpotential Deposited Monolayer toward Dendrite-Free Zinc Anode.

ACS Nano 2022 Jun 13. Epub 2022 Jun 13.

College of Materials and Chemistry and Chemical Engineering, Chengdu University of Technology, 1# Dongsanlu, Erxianqiao, Chengdu 610059, Sichuan, People's Republic of China.

Aqueous Zn batteries with ideal energy density and absolute safety are deemed the most promising candidates for next-generation energy storage systems. Nevertheless, stubborn dendrite formation and notorious parasitic reactions on the Zn metal anode have significantly compromised the Coulombic efficiency (CE) and cycling stability, severely impeding the Zn metal batteries from being deployed in the proposed applications. Herein, instead of random growth of Zn dendrites, a guided preferential growth of planar Zn layers is accomplished via atomic-scale matching of the surface lattice between the hexagonal close-packed (hcp) Zn(002) and face-centered cubic (fcc) Cu(100) crystal planes, as well as underpotential deposition (UPD)-enabled zincophilicity. The underlying mechanism of uniform Zn plating/stripping on the Cu(100) surface is demonstrated by ab initio molecular dynamics simulations and density functional theory calculations. The results show that each Zn atom layer is driven to grow along the exposed closest packed plane (002) in hcp Zn metal with a low lattice mismatch with Cu(100), leading to compact and planar Zn deposition. In situ optical visualization inspection is adopted to monitor the dynamic morphology evolution of such planar Zn layers. With this surface texture, the Zn anode exhibits exceptional reversibility with an ultrahigh Coulombic efficiency (CE) of 99.9%. The MnO//[email protected](100) full battery delivers long cycling stability over 548 cycles and outstanding specific energy and power density (112.5 Wh kg even at 9897.1 W kg). This work is expected to address the issues associated with Zn metal anodes and promote the development of high-energy rechargeable Zn metal batteries.
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http://dx.doi.org/10.1021/acsnano.2c01380DOI Listing
June 2022

A novel immune-related microRNA signature for prognosis of thymoma.

Aging (Albany NY) 2022 06 7;14(11):4739-4754. Epub 2022 Jun 7.

Department of Cell Biology and Genetics, Chongqing Medical University, Chongqing 400016, China.

Introduction: Immune microenvironment and microRNAs serve as common predictors for diagnosis and prognosis of tumors.

Methods: Expression of 122 genes and 126 microRNAs in thymoma was obtained from TCGA database. The proportion of tumor-infiltrating cells was calculated, and IMRS was constructed. TREM2hi score was calculated before functional enrichment analysis on gene sets.

Results: IMRS3, TREM2hi score, and CD8+ T lymphocyte abundance were significantly different among WHO classifications. WHO classification, Masaoka staging, and miR-130b-5p, miR-1307-3p, miR-425-5p, CD8, CD68, and CCL18 expression were prognostic factors for relapse-free survival and overall survival. IMRS3 upregulation polarized macrophages into M2, which rejected CD8+ T and other effector lymphocytes to promote thymoma malignant progression.

Conclusions: BRRS may present a novel immune-related microRNA signature for TET prognosis.
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http://dx.doi.org/10.18632/aging.204108DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217705PMC
June 2022

Methylation Mediated Silencing of miR-155 Suppresses the Development of Preeclampsia and by Targeting FOXO3.

Mediators Inflamm 2022 26;2022:4250621. Epub 2022 May 26.

Department of Obstetrics and Gynaecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052 Henan, China.

Preeclampsia (PE) is a common pregnancy-related syndrome characterized by chronic immune activation. This study is aimed at exploring the role of miR-155 in the inflammatory pathogenesis of PE. Placental tissues and peripheral blood were collected from all subjects. BSP detection analysis was performed to evaluate miR-155 methylation levels. ELISA was performed to measure the levels of inflammatory cytokines and MMP2 in serum samples and cellular supernatants. HTR-8/SVneo and JEG-3 cells were transfected with miR-155 mimic and the inhibitor to establish the overexpressed miR-155 and silenced miR-155 cell models, respectively. Treatment with 5-Aza was performed to alter the DNA methylation level of miR-155. The PE rat model was established after subcutaneous injection of NG-nitro-L-arginine methyl ester. The CCK-8 assay, TUNEL staining, and Transwell assay were performed. Reverse transcription-quantitative PCR, Western blot analysis, and immunohistochemical assay were used to analyze related gene expression levels. The luciferase reporter assay was used to investigate the direct interaction between FOXO3 and miR-155. Results showed that miR-155 was remarkably upregulated and inversely correlated with the promoter methylation level in the placental tissue from PE patients. The experiments indicated that miR-155 decreased viability, migration, and invasion, but increased apoptosis in trophoblast cells. FOXO3 was confirmed as the target of miR-155. Transfection of the miR-155 inhibitor suppressed inflammation and oxidative stress, but elevated proliferation, migration, and invasion of trophoblast cells, which were abolished by 5-Aza treatment or cotransfection with si-FOXO3. In summary, our data suggested that methylation-mediated silencing of miR-155 can inhibit the apoptosis, inflammation, and oxidative stress of trophoblast cells by upregulating FOXO3.
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http://dx.doi.org/10.1155/2022/4250621DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9162843PMC
June 2022

The Role of Qi-Stagnation Constitution and Emotion Regulation in the Association Between Childhood Maltreatment and Depression in Chinese College Students.

Front Psychiatry 2022 4;13:825198. Epub 2022 May 4.

School of Fundamental Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.

Background: Childhood maltreatment is known as a significant risk factor for later depression. However, there remains a lack of understanding about the mechanisms through which childhood maltreatment confers risk for depression. This study explores how Qi-stagnation constitution (QSC) and emotion regulation affect the link between childhood maltreatment and depressive symptoms in Chinese college students.

Methods: We recruited 2,108 college students aged 18-25 years between November 2020 and December 2021. Participants were required to complete four self-report questionnaires, including the Childhood Trauma Questionnaire-Short Form (CTQ-SF), Qi-Stagnation Constitution (QSC) subscale of the simplified Chinese Medicine Constitution Questionnaire, Difficulties in Emotion Regulation Scale (DERS), and the Beck Depression Inventory-II (BDI-II). Moderated mediation analyses were conducted.

Results: There was a positive correlation between childhood maltreatment and QSC, while the QSC partially mediated the effect of childhood maltreatment on depressive scores in college students. In addition, emotion dysregulation moderated the association between QSC and depressive scores.

Conclusion: These results enhance understanding of key factors influencing the link between childhood maltreatment and depressive symptoms among college students by combining the theory of TCM constitution with psychological processes. The development of strategies to prevent biased Qi-stagnation constitution and emotion dysregulation may help to improve college students' mental health and strengthen the resilience of individuals to depression.
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http://dx.doi.org/10.3389/fpsyt.2022.825198DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114459PMC
May 2022

Coupling of multi-hydrochemical and statistical methods for identifying apparent background levels of major components and anthropogenic anomalous activities in shallow groundwater of the Liujiang Basin, China.

Sci Total Environ 2022 Sep 13;838(Pt 1):155905. Epub 2022 May 13.

School of Water Resource and Environment, Beijing Key Laboratory of Water Resources and Environmental Engineering, and MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences (Beijing), Beijing 100083, China.

Natural background levels (NBLs) is a prerequisite for distinguishing anthropogenic groundwater pollution and judging the evolution of groundwater quality. However, due to regional differences of hydrogeochemitry and water-rock interaction, coupled with long-term anthropogenic activities, it is no longer accurate to assess NBLs with only statistical methods or without considering human impact. Herein, multi-hydrochemical and statistical methods were examined to identify apparent background levels and anthropogenic anomalous activities of shallow groundwater by selecting Liujiang Basin as a study area. The results showed that the differences in hydrochemical characteristics among each hydrogeological unit (HU) fully illustrated the necessity of rationally dividing HU for background value identification. The application of the concept of apparent background levels (ABLs), that is, incorporating normal human activities into the background levels, efficiently solved the problem of being unable to obtain pristine NBLs due to long-term human activities. The coupling of Hydrochemistry and Grubbs' test (Hydro-Grubbs) was confirmed as the optimal method in identifying and eliminating anthropogenic groundwater anomalies, performing sufficiently superiority when compared with purely statistical methods. It is mainly because the Hydro-Grubbs method not only considers the discreteness of the data itself, but also considers the internal connection and evolution process of the hydrochemical compositions. For the eliminated abnormal points, 91.0-93.6% of which have been effectively explained by pollution percentage index and the impact of coal mining, industrial activities, residents, agricultural activities, and septic tanks leakage, proving the rationality and reliability of Hydro-Grubbs method and ABLs evaluation result. This finding will assist in accurately identifying anthropogenic pollution on a regional scale and guiding future efforts to protect groundwater resources.
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http://dx.doi.org/10.1016/j.scitotenv.2022.155905DOI Listing
September 2022

Machine learning directed discrimination of virgin and recycled poly(ethylene terephthalate) based on non-targeted analysis of volatile organic compounds.

J Hazard Mater 2022 08 11;436:129116. Epub 2022 May 11.

National Reference Laboratory for Food Contact Material (Guangdong), Guangzhou Customs Technology Center, Guangzhou 510075, China.

The use of non-decontaminated recycled poly(ethylene terephthalate) (PET) in food packages arouses consumer safety concerns, and thus is a major obstacle hindering PET bottle-to-bottle recycling in many developing regions. Herein, machine learning (ML) algorithms were employed for the discrimination of 127 batches of virgin PET and recycled PET (rPET) samples based on 1247 volatile organic compounds (VOCs) tentatively identified by headspace solid-phase microextraction comprehensive two-dimensional gas chromatography quadrupole-time-of-flight mass spectrometry. 100% prediction accuracy was achieved for PET discrimination using random forest (RF) and support vector machine (SVM) algorithms. The features of VOCs bearing high variable contributions to the RF prediction performance characterized by mean decrease Gini and variable importance were summarized as high occurrence rate, dominant appearance and distinct instrument response. Further, RF and SVM were employed for PET discrimination using the simplified input datasets composed of 62 VOCs with the highest contributions to the RF prediction performance derived by the AUCRF algorithm, by which over 99% prediction accuracy was achieved. Our results demonstrated ML algorithms were reliable and powerful to address PET adulteration and were beneficial to boost food-contact applications of rPET bottles.
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http://dx.doi.org/10.1016/j.jhazmat.2022.129116DOI Listing
August 2022

ERP-WGAN: A data augmentation method for EEG single-trial detection.

J Neurosci Methods 2022 07 2;376:109621. Epub 2022 May 2.

Department of Information System Engineering, PLA Strategy Support Force Information Engineering University, Zhengzhou 450001, China. Electronic address:

Brain computer interaction based on EEG presents great potential and becomes the research hotspots. However, the insufficient scale of EEG database limits the BCI system performance, especially the positive and negative sample imbalance caused by oddball paradigm. To alleviate the bottleneck problem of scarce EEG sample, we propose a data augmentation method based on generative adversarial network to improve the performance of EEG signal classification. Taking the characteristics of EEG into account in wasserstein generative adversarial networks (WGAN), the problems of model collapse and poor quality of artificial data were solved by using resting noise, smoothing and random amplitude. The quality of artificial data was comprehensively evaluated from verisimilitude, diversity and accuracy. Compared with the three artificial data methods and two data sampling methods, the proposed ERP-WGAN framework significantly improve the performance of both subject and general classifiers, especially the accuracy of general classifiers trained by less than 5 dimensional features is improved by 20-25%. Moreover, we evaluate the training sets performance with different mixing ratios of artificial and real samples. ERP-WGAN can reduced at least 73% of the real subject data and acquisition cost, which greatly saves the test cycle and research cost.
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http://dx.doi.org/10.1016/j.jneumeth.2022.109621DOI Listing
July 2022

Reconfiguration of cortical brain network from searching to spotting for dynamic visual targets.

J Neurosci Methods 2022 06 25;375:109577. Epub 2022 Mar 25.

Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China. Electronic address:

Background: Detecting dynamic targets from complex visual scenes is an important problem in real world. However, the cognitive mechanism accounting for dynamic visual target detection remains unclear.

New Method: Herein, we aim to explore the cognitive process of dynamic visual target detection from searching to spotting and provide more concrete evidence for cognitive studies related to target detection. Cortical source responses with high spatiotemporal resolution were reconstructed from scalp EEG signals. Then, time-varying cortical networks were built using adaptive directed transfer function to explore the cognitive processes while detecting the dynamic visual target.

Results: The experimental results demonstrated that the dynamic visual target detection enhanced the activation in both the visual and attention networks. Specially, the information flow from the middle occipital gyrus (MOG) mainly contributed to the position function, whereas the activation of the prefrontal cortex (PFC) reflected spatial attention maintenance.

Conclusion: The left "frontal-central-parietal" network played as a leading information source in dynamic target detection tasks. These findings provide new insights into cognitive processes of dynamic visual target detection.
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http://dx.doi.org/10.1016/j.jneumeth.2022.109577DOI Listing
June 2022

Dexmedetomidine reduces propofol-induced hippocampal neuron injury by modulating the miR-377-5p/Arc pathway.

BMC Pharmacol Toxicol 2022 03 25;23(1):18. Epub 2022 Mar 25.

Department of Anesthesiology, The First Affiliated Hospital of Guangdong Pharmaceutical University, NO.19 Nonglin Road, Yuexiu District, Guangzhou, Guangdong Province, China.

Background: Propofol and dexmedetomidine (DEX) are widely used in general anesthesia, and exert toxic and protective effects on hippocampal neurons, respectively. The study sought to investigate the molecular mechanisms of DEX-mediated neuroprotection against propofol-induced hippocampal neuron injury in mouse brains.

Methods: Hippocampal neurons of mice and HT22 cells were treated with propofol, DEX, and propofol+DEX. In addition, transfection of miR-377-5p mimics or inhibitors was performed in HT22 cells. Neuronal apoptosis was evaluated by a means of terminal deoxynucleotidyl transferase (TdT)-mediated dUTP nick end labeling (TUNEL) or Hochest 33,258 staining; Arc positive expression in hippocampus tissues was detected using a microscope in immunohistochemistry assays; miRNA-377-5p expression was quantified by RT-qPCR; the protein levels of Arc, DNMT3A, and DNMT3B were determined using western blot; Cell Counting Kit-8 (CCK-8) assay was used to detect the viability and apoptotic rate of the neurons; methylation analysis in the miR-377-5p promoter was performed through methylated DNA immunoprecipitation (MeDIP) assay; dual luciferase reporter assay was performed to confirm whether Arc was under targeted regulation of miR-377-5p.

Results: In the current study, both in vitro and in vivo, propofol treatment induced hippocampal neuron apoptosis and suppressed cell viability. DNMT3A and DNMT3B expression levels were decreased following propofol treatment, resulting in lowered methylation in the miR-377-5p promoter region and then enhanced expression of miR-377-5p, leading to a decrease in the expression of downstream Arc. Conversely, the expression levels of DNMT3A and DNMT3B were increased following DEX treatment, thus methylation in miR-377-5p promoter region was improved, and miR-377-5p expression was decreased, leading to an increase in the expression of downstream Arc. Eventually, DEX pretreatment protected hippocampal neurons against propofol-induced neurotoxicity by recovering the expression levels of DNMT3A, miR-377-5p, and Arc to the normal levels. Additionally, DNMT3A knockdown improved miR-377-5p expression but reduced Arc expression, and DNMT3A overexpression exerted the opposite effects. Dual luciferase reporter assay revealed a binding target between miR-377-5p and Arc 3'UTR. The neuroprotective effect of DEX against propofol-induced neuronal apoptosis was diminished after Arc knockdown. Silencing Arc independently triggered the apoptosis of HT22 cells, which was alleviated through transfection of miR-377-5p inhibitors.

Conclusions: DEX reduced propofol-induced hippocampal neuron injury via the miR-377-5p/Arc signaling pathway.
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http://dx.doi.org/10.1186/s40360-022-00555-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957152PMC
March 2022

Odor identification impairment in autism spectrum disorder might be associated with mitochondrial dysfunction.

Asian J Psychiatr 2022 Jun 12;72:103072. Epub 2022 Mar 12.

National Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China.

Deficits in olfactory function in autism spectrum disorder (ASD) have already been reported. However, the results of previous studies are not consistent, and the pathophysiological mechanisms of olfactory dysfunction in ASD are not clear. Fifty-three male ASD children or teenagers aged 9-16 years were recruited for the study. The identification and discrimination portion of the Sniffin' Sticks test (SST) was used to assess the olfactory function of the enrolled subjects. The severity of ASD core symptoms and the intelligence quotient (IQ) of participants were assessed. In addition, to explore the potential mechanism underlying olfactory dysfunction, a series of plasma biochemical indicators of oxidative stress, mitochondrial function and inflammation were measured. The mean raw scores on the SST identification and discrimination test of the study subjects were significantly lower than those of typically developing subjects reported in normative data studies. After adjusting for IQ, the odor identification score was not significantly associated with any ASD symptoms. Odor identification was found to be significantly associated with the ratio of L-lactate (L)/pyruvate (P) but not with other measured indicators. The current study validates the impairment of odor identification and discrimination in Chinese ASD children. Odor identification dysfunction may be an independent clinical symptom of ASD. The plasma L/P ratio was found to be significantly associated with odor identification performance, which suggests that mitochondrial dysfunction may be a potential mechanism underlying odor identification impairment in ASD.
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http://dx.doi.org/10.1016/j.ajp.2022.103072DOI Listing
June 2022

Linking Multi-Layer Dynamical GCN With Style-Based Recalibration CNN for EEG-Based Emotion Recognition.

Front Neurorobot 2022 24;16:834952. Epub 2022 Feb 24.

Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China.

Electroencephalography (EEG)-based emotion computing has become one of the research hotspots of human-computer interaction (HCI). However, it is difficult to effectively learn the interactions between brain regions in emotional states by using traditional convolutional neural networks because there is information transmission between neurons, which constitutes the brain network structure. In this paper, we proposed a novel model combining graph convolutional network and convolutional neural network, namely MDGCN-SRCNN, aiming to fully extract features of channel connectivity in different receptive fields and deep layer abstract features to distinguish different emotions. Particularly, we add style-based recalibration module to CNN to extract deep layer features, which can better select features that are highly related to emotion. We conducted two individual experiments on SEED data set and SEED-IV data set, respectively, and the experiments proved the effectiveness of MDGCN-SRCNN model. The recognition accuracy on SEED and SEED-IV is 95.08 and 85.52%, respectively. Our model has better performance than other state-of-art methods. In addition, by visualizing the distribution of different layers features, we prove that the combination of shallow layer and deep layer features can effectively improve the recognition performance. Finally, we verified the important brain regions and the connection relationships between channels for emotion generation by analyzing the connection weights between channels after model learning.
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http://dx.doi.org/10.3389/fnbot.2022.834952DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907537PMC
February 2022

Clinical efficacy and safety of a focused-radiofrequency device on middle and lower face rejuvenation: a retrospective clinical study.

J Cosmet Laser Ther 2021 Nov 4;23(7-8):176-183. Epub 2022 Mar 4.

Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiaotong University of Medicine, Shanghai, China.

The aim of the present study was to evaluate the efficacy and safety of a unipolar focused-RF device used to rejuvenate the middle and lower face and to create an assessment system. This retrospective study comprised 52 patients with mild-to-moderate skin laxity and wrinkles who received 1-3 treatments 1 month apart and were followed up for 1-7 months. At baseline and post-treatment, three blinded observers measured facial contour and lines, analyzed VISIA scores, and assessed the results using Alexiades Comprehensive Grading Scale (ACGS) and Global Aesthetic Improvement Scale (GAIS). Significant improvements were observed (P < .05) in facial width (left 5.95%, right 5.66%), nasolabial folds (left 18.98%, right 20.56%), marionette lines (left 18.88%, right 25.80%), and cheek lines (left 3.35%, right 3.05%) and in the scores of wrinkles (15.37%), texture (13.67%), pores (6.48%), and red areas (6.57%) using VISIA. There was an obvious reduction in wrinkles, laxity, erythema/telangiectasia based on ACGS, and 75% improved and 5.8% much improved using GAIS. There was no severe side effect. We suggest that the unipolar focused-RF device is an effective and safe technique for middle and lower face rejuvenation and provides a series of comprehensive assessment methods based on standardized photos using VISIA.
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http://dx.doi.org/10.1080/14764172.2022.2048672DOI Listing
November 2021

Active terahertz modulator based on optically controlled organometal halide perovskite MAPbIBr.

Appl Opt 2022 Feb;61(5):1171-1176

In this paper, an active terahertz modulator based on optically controlled organometal halide perovskite is proposed. The terahertz wave time-domain transmission of the / sample was measured by a terahertz time-domain spectrometer. Experimental results indicate that the / sample showed an obvious optical-power-dependent modulation effect on transmission of the terahertz wave; the maximum modulation depth of the modulator can reach 59.99% at 0.3 THz when the external pump optical power is up to 1500 mW.
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http://dx.doi.org/10.1364/AO.444667DOI Listing
February 2022

Diagnostic Challenges of Intra-operative Frozen Consultation for Mammary Epithelioid Myofibroblastoma.

Int J Surg Pathol 2022 Sep 17;30(6):634-641. Epub 2022 Feb 17.

Department of Pathology, Chongqing General Hospital, China.

Myofibroblastoma (MFB) of the breast is a rare benign neoplasm that exhibits several morphologic variants and presents diagnostic challenges for pathologists, especially in recognizing intra-operative frozen sections. In order to raise awareness of this tumor and avoid misdiagnosis, we describe a case of a 38-year-old female patient diagnosed as epithelioid MFB. This painless tumor was well-circumscribed, found in the left breast and was physically examined over a period of six months. Histologically, this tumor was predominantly composed of epithelioid cells, which arranged as single cells, small clusters or nests. Tumor stroma was collagenized with spindle cells, adipose and focal myxoid areas. This case was misinterpreted as invasive carcinoma in the frozen section. The immunohistochemical profile demonstrated positivity for Vimentin, desmin, SMA, calponin, CD34, ER, PR and AR, whereas pan-keratin, keratin 7, keratin 34βE12, keratin 5/6, EMA, p63 and S100 were negative. RB1 was abnormally negative, confirming the diagnosis of epithelioid MFB. Making a correct diagnosis is primarily dependent on awareness by the pathologist of this unusual variant of MFB and careful integration of clinicopathologic findings to avoid potential diagnostic pitfalls.
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http://dx.doi.org/10.1177/10668969221076547DOI Listing
September 2022

The Validation of a Single Multiplex Typing System With 45 Y-STR Markers for Familial Searching and Database Construction.

Front Genet 2022 27;13:842004. Epub 2022 Jan 27.

School of Forensic Medicine, Southern Medical University, Guangzhou, China.

The Y-chromosomal short tandem repeat (Y-STR) is an effective forensic tool in familial searches and patrilineal relationship evaluation. However, currently available Y-STR panels often lack sufficient discriminatory power to resolve genetic relationships between distant relatives or within patrilocal populations. This study aims to establish a novel Y-STR amplification system for forensic casework analysis and database construction, which contains 44 slowly and moderately mutating and one rapidly mutating Y-STR. The validation of the assay was conducted following the recommendations of SWGDAM developmental validation guidelines. Different types of casework samples were tested and reliable profiles were obtained. Furthermore, we genotyped and analyzed 141 unrelated Han Chinese male samples. The results showed that this Y45 kit could improve the performance of identifying male individuals, higher haplotype diversity, and discrimination capacity when compared to the previous widely used Yfiler Plus kit. In general, the validation study demonstrated that the newly developed Y45 kit possesses high sensitivity, inhibitor tolerance, male specificity in a mixture, species specificity, and precision and is capable of forensic casework analysis and database construction.
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http://dx.doi.org/10.3389/fgene.2022.842004DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829124PMC
January 2022

iSuc-ChiDT: a computational method for identifying succinylation sites using statistical difference table encoding and the chi-square decision table classifier.

BioData Min 2022 Feb 10;15(1). Epub 2022 Feb 10.

Hunan Engineering & Technology Research Center for Agricultural Big Data Analysis & Decision-making, Hunan Agricultural University, Changsha, 410128, Hunan, China.

Background: Lysine succinylation is a type of protein post-translational modification which is widely involved in cell differentiation, cell metabolism and other important physiological activities. To study the molecular mechanism of succinylation in depth, succinylation sites need to be accurately identified, and because experimental approaches are costly and time-consuming, there is a great demand for reliable computational methods. Feature extraction is a key step in building succinylation site prediction models, and the development of effective new features improves predictive accuracy. Because the number of false succinylation sites far exceeds that of true sites, traditional classifiers perform poorly, and designing a classifier to effectively handle highly imbalanced datasets has always been a challenge.

Results: A new computational method, iSuc-ChiDT, is proposed to identify succinylation sites in proteins. In iSuc-ChiDT, chi-square statistical difference table encoding is developed to extract positional features, and has a higher predictive accuracy and fewer features compared to common position-based encoding schemes such as binary encoding and physicochemical property encoding. Single amino acid and undirected pair-coupled amino acid composition features are supplemented to improve the fault tolerance for residue insertions and deletions. After feature selection by Chi-MIC-share algorithm, the chi-square decision table (ChiDT) classifier is constructed for imbalanced classification. With a training set of 4748:50,551(true: false sites), ChiDT clearly outperforms traditional classifiers in predictive accuracy, and runs fast. Using an independent testing set of experimentally identified succinylation sites, iSuc-ChiDT achieves a sensitivity of 70.47%, a specificity of 66.27%, a Matthews correlation coefficient of 0.205, and a global accuracy index Q of 0.683, showing a significant improvement in sensitivity and overall accuracy compared to PSuccE, Success, SuccinSite, and other existing succinylation site predictors.

Conclusions: iSuc-ChiDT shows great promise in predicting succinylation sites and is expected to facilitate further experimental investigation of protein succinylation.
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http://dx.doi.org/10.1186/s13040-022-00290-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832670PMC
February 2022

A Collaborative Brain-Computer Interface Framework for Enhancing Group Detection Performance of Dynamic Visual Targets.

Comput Intell Neurosci 2022 18;2022:4752450. Epub 2022 Jan 18.

Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China.

The superiority of collaborative brain-computer interface (cBCI) in performance enhancement makes it an effective way to break through the performance bottleneck of the BCI-based dynamic visual target detection. However, the existing cBCIs focus on multi-mind information fusion with a static and unidirectional mode, lacking the information interaction and learning guidance among multiple agents. Here, we propose a novel cBCI framework to enhance the group detection performance of dynamic visual targets. Specifically, a mutual learning domain adaptation network (MLDANet) with information interaction, dynamic learning, and individual transferring abilities is developed as the core of the cBCI framework. MLDANet takes P3-sSDA network as individual network unit, introduces mutual learning strategy, and establishes a dynamic interactive learning mechanism between individual networks and collaborative decision-making at the neural decision level. The results indicate that the proposed MLDANet-cBCI framework can achieve the best group detection performance, and the mutual learning strategy can improve the detection ability of individual networks. In MLDANet-cBCI, the F1 scores of collaborative detection and individual network are 0.12 and 0.19 higher than those in the multi-classifier cBCI, respectively, when three minds collaborate. Thus, the proposed framework breaks through the traditional multi-mind collaborative mode and exhibits a superior group detection performance of dynamic visual targets, which is also of great significance for the practical application of multi-mind collaboration.
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http://dx.doi.org/10.1155/2022/4752450DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789438PMC
January 2022

What is the general Chinese public's awareness of and attitudes towards screening and associated health behaviours? A cross-sectional study.

BMJ Open 2022 Jan 25;12(1):e057929. Epub 2022 Jan 25.

Hengyang Medical School, School of Nursing, University of South China, Hengyang, Hunan, China

Objective: To evaluate the general population's awareness of and attitudes toward (HP) screening and health behaviours.

Design: Cross-sectional study.

Setting: Hengyang, Hunan Province, China.

Participants: Using stratified cluster random sampling, a pretested structured questionnaire was used to interview members of the general population aged ≥18 years.

Primary And Secondary Outcome Measures: Knowledge of and attitudes toward HP screening and associated health behaviours, sociodemographic factors associated with HP knowledge, and screening behaviours.

Results: This study featured 1042 participants. The average knowledge score was 11 (Q=4, Q=20, range 0-29). Approximately 68.9% of the participants said they had heard of HP, but 67.5% had never had an HP test. The most common reasons for not undergoing screening were 'no symptoms' (55.7%) and 'lack of knowledge regarding the benefits of the test' (21.1%). Independent factors related to knowledge included age, education level, occupation, HP infection, frequency of drinking unboiled water (p<0.05). Factors independently associated with screening behaviour included occupation, average monthly income, presence/absence of indigestion, stomach discomfort or pain, and/or stomach disease and knowledge score (p<0.05). Overall, 941 (90.3%) participants never used anti-HP toothpaste, and 442 (40.5%) never used serving spoons or chopsticks. The risk factors for HP infection included eating out and eating in groups (p<0.05).

Conclusion: In China, the general population has poor knowledge of HP, but most people have a positive attitude towards HP screening. Being asymptomatic and lacking knowledge about testing were the main reasons for reluctance to be screened. These results highlight the urgent need for educational activities to raise awareness, enhance screening rates for HP, and encourage people to adopt a healthy lifestyle.
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http://dx.doi.org/10.1136/bmjopen-2021-057929DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796245PMC
January 2022

Risky but alluring: Severe COVID-19 pandemic influence increases risk taking.

J Exp Psychol Appl 2021 Dec;27(4):679-694

Rotman School of Management, University of Toronto.

The COVID-19 pandemic has changed our lives to a profound extent. In this research, we examined how the pandemic might have influenced people's general risk attitude in their daily lives. Across four studies (two preregistered) using U.S. online worker and Canadian university student samples, we observed that individuals who were severely affected by the pandemic showed higher risk taking toward a variety of risky activities than those who were less severely affected. We attributed this effect to elevated boredom levels and increased perceived benefits from taking risks among the severely affected group and provided supporting evidence. Data ruled out risk perception, income, employment status, and response biases as alternative explanations. Our findings shed light on the psychological consequences of the COVID-19 pandemic, decision under risk, the role of perceived benefits of risk taking, and effective policy interventions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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http://dx.doi.org/10.1037/xap0000380DOI Listing
December 2021

Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks.

Front Comput Neurosci 2021 9;15:723843. Epub 2021 Dec 9.

Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China.

One of the greatest limitations in the field of EEG-based emotion recognition is the lack of training samples, which makes it difficult to establish effective models for emotion recognition. Inspired by the excellent achievements of generative models in image processing, we propose a data augmentation model named VAE-D2GAN for EEG-based emotion recognition using a generative adversarial network. EEG features representing different emotions are extracted as topological maps of differential entropy (DE) under five classical frequency bands. The proposed model is designed to learn the distributions of these features for real EEG signals and generate artificial samples for training. The variational auto-encoder (VAE) architecture can learn the spatial distribution of the actual data through a latent vector, and is introduced into the dual discriminator GAN to improve the diversity of the generated artificial samples. To evaluate the performance of this model, we conduct a systematic test on two public emotion EEG datasets, the SEED and the SEED-IV. The obtained recognition accuracy of the method using data augmentation shows as 92.5 and 82.3%, respectively, on the SEED and SEED-IV datasets, which is 1.5 and 3.5% higher than that of methods without using data augmentation. The experimental results show that the artificial samples generated by our model can effectively enhance the performance of the EEG-based emotion recognition.
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http://dx.doi.org/10.3389/fncom.2021.723843DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700963PMC
December 2021
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