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  1. Article ; Online: A comprehensive SERS, SEM and EDX study of individual atmospheric PM

    Li, Dongxian / Yue, Weisheng / Gong, Tiancheng / Gao, Ping / Zhang, Tao / Luo, Yunfei / Wang, Changtao

    The Science of the total environment

    2023  Volume 883, Page(s) 163668

    Abstract: Characterization of atmospheric fine particulate matter ( ... ...

    Abstract Characterization of atmospheric fine particulate matter (PM
    Language English
    Publishing date 2023-04-24
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.163668
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Ultrasensitive enhanced Raman spectroscopy by hybrid surface-enhanced and interference-enhanced Raman scattering with metal-insulator-metal structures.

    Liu, Kaipeng / Gong, Tiancheng / Luo, Yunfei / Kong, Weijie / Yue, Weisheng / Wang, Changtao / Luo, Xiangang

    Optics express

    2023  Volume 31, Issue 10, Page(s) 15848–15863

    Abstract: High-sensitivity, reproducible, and low-cost substrate has been a major obstacle for practical sensing application of surface-enhancement Raman scattering (SERS). In this work, we report a type of simple SERS substrate which is composed of metal- ... ...

    Abstract High-sensitivity, reproducible, and low-cost substrate has been a major obstacle for practical sensing application of surface-enhancement Raman scattering (SERS). In this work, we report a type of simple SERS substrate which is composed of metal-insulator-metal (MIM) structure of Ag nanoisland (AgNI)-SiO
    Language English
    Publishing date 2023-05-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.488410
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Prognostic Values of Core Genes in Pilocytic Astrocytom.

    Zhang, Siqi / Luo, Yi / Sun, Weisheng / Tan, Weiting / Zeng, Hongwu

    World neurosurgery

    2023  Volume 176, Page(s) e101–e108

    Abstract: Background: Pilocytic astrocytoma (PA) is the most common primary brain tumor in children and adolescents. Treatment strategy largely depends on its key genes and molecular mutations. This study aimed to identify potential biomarkers of PA closely ... ...

    Abstract Background: Pilocytic astrocytoma (PA) is the most common primary brain tumor in children and adolescents. Treatment strategy largely depends on its key genes and molecular mutations. This study aimed to identify potential biomarkers of PA closely related to its prognosis.
    Methods: The gene expression profiles (series numbers GSE50161, GSE66354, and GSE86574) of PA and normal brain tissues were downloaded from the Gene Expression Omnibus database. The Gene Expression Omnibus2R was used to identify differentially expressed genes. The overlapping differentially expressed genes were subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) database. A protein-protein interaction network was constructed using Search Tool for the Retrieval of Interacting Genes (STRING) and Cytoscape. The Gene Expression Profiling Interactive Analysis 2 (GEPIA2) tool analyzed the impact of hub genes on PA prognosis based on the Kaplan-Meier curves.
    Results: Compared with normal brain tissues (n = 36), a total of 37 upregulated and 144 downregulated genes were identified in PA (n = 40). In the protein-protein interaction network construction and GEPIA2 survival analysis, 2 of the top 10 hub genes were significantly associated with decreased overall survival of PA patients, namely Gamma-aminobutyric acid A receptor alpha 2 (hazard ratio  =  2.8, P  <  0.01) and regulating synaptic membrane exocytosis protein 1) (hazard ratio =  3.2, P  <  0.01).
    Conclusions: This bioinformatics analysis reveals that low expression of Gamma-aminobutyric acid A receptor alpha 2 and regulating synaptic membrane exocytosis protein 1 is associated with a favorable prognosis for PA patients. These 2 hub genes could be novel biomarkers for prognosis assessment, furthermore a key element for treatment decisions in the future.
    MeSH term(s) Child ; Humans ; Adolescent ; Prognosis ; Biomarkers, Tumor/genetics ; Biomarkers, Tumor/metabolism ; Protein Interaction Maps/genetics ; Gene Expression Profiling ; gamma-Aminobutyric Acid/metabolism ; Computational Biology ; Gene Expression Regulation, Neoplastic/genetics
    Chemical Substances Biomarkers, Tumor ; gamma-Aminobutyric Acid (56-12-2)
    Language English
    Publishing date 2023-05-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2534351-8
    ISSN 1878-8769 ; 1878-8750
    ISSN (online) 1878-8769
    ISSN 1878-8750
    DOI 10.1016/j.wneu.2023.05.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: EARLY PREDICTIVE VALUE OF PRESEPSIN FOR SECONDARY SEPSIS AND MORTALITY IN INTENSIVE CARE UNIT PATIENTS WITH SEVERE ACUTE PANCREATITIS.

    Wang, Chuanjiang / Zhang, Jun / Liu, Liyao / Qin, Weisheng / Luo, Na

    Shock (Augusta, Ga.)

    2023  Volume 59, Issue 4, Page(s) 560–568

    Abstract: Abstract: Purpose : Sepsis is the leading cause of death in patients with severe acute pancreatitis (SAP) in the intensive care unit (ICU). Early prediction of sepsis secondary to SAP developed in the late phase and of related mortality can enable ... ...

    Abstract Abstract: Purpose : Sepsis is the leading cause of death in patients with severe acute pancreatitis (SAP) in the intensive care unit (ICU). Early prediction of sepsis secondary to SAP developed in the late phase and of related mortality can enable appropriate treatment and improve outcomes. This study was conducted to evaluate the predictive value of presepsin in ICU patients with SAP at the early stage and compared it with established blood markers and scoring systems. Methods : This retrospective study enrolled 48 septic patients and 53 nonseptic patients admitted to ICU with SAP. Presepsin and other blood markers (procalcitonin, C-reactive protein, IL-6, white blood cell, and serum creatinine) on days 1, 3, and 7 after enrollment as well as scoring systems were assessed to predict secondary sepsis. Outcomes were evaluated at ICU discharge and on days 28 and 90. Results : Presepsin levels (on days 1, 3, and 7) were significantly higher in septic patients than in nonseptic patients. Presepsin levels showed an increasing trend over time in both sepsis and nonsepsis groups, but concentrations increased more rapidly in the sepsis group than in the nonsepsis group. Among the analyzed biomarkers, presepsin was the only blood marker independently associated with sepsis secondary to SAP on days 3 and 7, and presepsin on day 3 was independently associated with mortality at ICU discharge and on days 28 and 90. It showed similar or even better predictive accuracy for both secondary sepsis and mortality than procalcitonin and Sequential Organ Failure Assessment score. Conclusion : Presepsin could be a valuable early predictor of secondary sepsis and mortality in patients admitted to the ICU with SAP and may serve as an indicator for early risk stratification.
    MeSH term(s) Humans ; Retrospective Studies ; Procalcitonin ; Acute Disease ; Pancreatitis/diagnosis ; Sepsis ; Biomarkers ; Intensive Care Units ; Peptide Fragments ; Lipopolysaccharide Receptors ; Prognosis
    Chemical Substances Procalcitonin ; Biomarkers ; Peptide Fragments ; Lipopolysaccharide Receptors ; presepsin protein, human
    Language English
    Publishing date 2023-02-01
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1185432-7
    ISSN 1540-0514 ; 1073-2322
    ISSN (online) 1540-0514
    ISSN 1073-2322
    DOI 10.1097/SHK.0000000000002088
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Acid tolerance response of Salmonella during the squid storage and its amine production capacity analysis.

    Ge, Wei / Yang, Qiong / Wang, Hui / Pan, Chuanyan / Lv, Min / Liang, Lingyun / Ya, Shiya / Luo, Xu / Wang, Weisheng / Ma, Huawei

    Archives of microbiology

    2024  Volume 206, Issue 4, Page(s) 139

    Abstract: Salmonella exhibits a strong inducible acid tolerance response (ATR) under weak acid conditions, and can also induce high-risk strains that are highly toxic, acid resistant, and osmotic pressure resistant to aquatic products. However, the induction ... ...

    Abstract Salmonella exhibits a strong inducible acid tolerance response (ATR) under weak acid conditions, and can also induce high-risk strains that are highly toxic, acid resistant, and osmotic pressure resistant to aquatic products. However, the induction mechanism is not yet clear. Therefore, this study aims to simulate the slightly acidic, low-temperature, and high-protein environment during squid processing and storage. Through λRed gene knockout, exploring the effects of low-acid induction, long-term low-temperature storage, and two-component regulation on Salmonella ATR. In this study, we found the two-component system, PhoP/PhoQ and PmrA/PmrB in Salmonella regulates the amino acid metabolism system and improves bacterial acid tolerance by controlling arginine and lysine. Compared with the two indicators of total biogenic amine and diamine content, biogenic amine index and quality index were more suitable for evaluating the quality of aquatic products. The result showed that low-temperature treatment could inhibit Salmonella-induced ATR, which further explained the ATR mechanism from the amino acid metabolism.
    MeSH term(s) Animals ; Diamines ; Arginine ; Decapodiformes ; Salmonella/genetics ; Biogenic Amines
    Chemical Substances Diamines ; Arginine (94ZLA3W45F) ; Biogenic Amines
    Language English
    Publishing date 2024-03-04
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 124824-8
    ISSN 1432-072X ; 0302-8933
    ISSN (online) 1432-072X
    ISSN 0302-8933
    DOI 10.1007/s00203-024-03853-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Elsholtzia splendens promotes phenanthrene and polychlorinated biphenyl degradation under Cu stress through enrichment of microbial degraders.

    Huang, Zilin / Jiang, Longfei / Lu, Weisheng / Luo, Chunling / Song, Mengke

    Journal of hazardous materials

    2022  Volume 438, Page(s) 129492

    Abstract: Co-contamination of heavy metals and organic pollutants is widespread in the environment. Metal-tolerant/hyperaccumulating plants have the advantage of enhancing co-operation between plants and rhizospheric microbes under heavy metal stress, but the ... ...

    Abstract Co-contamination of heavy metals and organic pollutants is widespread in the environment. Metal-tolerant/hyperaccumulating plants have the advantage of enhancing co-operation between plants and rhizospheric microbes under heavy metal stress, but the underlying mechanism remains unclear. In the present study, the effects of Elsholtzia splendens and Lolium perenne on the rhizospheric microbial community and degraders of phenanthrene (PHE) and polychlorinated biphenyls (PCBs) were investigated. The results showed E. splendens could tolerate high Cu concentrations, while L. perenne was sensitive to Cu toxicity. Although Cu played the most important role in microbial community construction, both E. splendens and L. perenne caused shifts in the rhizospheric microbial community. For PHE and PCB degradation, L. perenne was more efficient under low Cu concentrations, whereas E. splendens performed better under high Cu concentrations. This difference can be attributed to shifts in the degrader community and key degradation genes identified by stable isotope probing. Moreover, higher abundances of various genes for organic pollutant degradation were observed in the rhizosphere of E. splendens than L. perenne based on gene prediction under high Cu stress. Our study reveals underlying mechanism of the advantages of heavy metal-tolerant plants for organic pollutant removal in soils co-contaminated with heavy metals.
    MeSH term(s) Biodegradation, Environmental ; Copper/analysis ; Lamiaceae/metabolism ; Metals, Heavy/metabolism ; Metals, Heavy/toxicity ; Phenanthrenes/metabolism ; Plant Roots/metabolism ; Polychlorinated Biphenyls/metabolism ; Soil Microbiology ; Soil Pollutants/metabolism
    Chemical Substances Metals, Heavy ; Phenanthrenes ; Soil Pollutants ; Copper (789U1901C5) ; Polychlorinated Biphenyls (DFC2HB4I0K)
    Language English
    Publishing date 2022-06-28
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1491302-1
    ISSN 1873-3336 ; 0304-3894
    ISSN (online) 1873-3336
    ISSN 0304-3894
    DOI 10.1016/j.jhazmat.2022.129492
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: A deep unrolling pansharpening method based on spectral consistency and double spatial priors

    Lei, Dajiang / Luo, Xin / Chen, Hao / Zhang, Liping / Liu, Qun / Li, Weisheng

    International Journal of Remote Sensing. 2023 Mar. 19, v. 44, no. 6 p.1842-1871

    2023  

    Abstract: In recent years, deep learning (DL) pansharpening methods have become the most popular solution for acquiring high-resolution multispectral (HRMS) images. However, most DL-based methods design the task as black-box network architecture, ignoring the ... ...

    Abstract In recent years, deep learning (DL) pansharpening methods have become the most popular solution for acquiring high-resolution multispectral (HRMS) images. However, most DL-based methods design the task as black-box network architecture, ignoring the physical meaning of individual network modules. Such a network structure is difficult to extract sufficient spatial details or lacks interpretability. To address this problem, we propose a neural network pansharpening method with interpretable deep spatial detail injection based on the assumption of spectral consistency and double spatial detail priors in HRMS images. First, we assume that the HRMS image consists of a spectral and spatial component together. Spectral and partial spatial details are obtained by upsampling the multispectral (MS) images. Next, a variational model is constructed for image fusion from the LRMS image and the panchromatic (PAN) image to the HRMS image.The alternating direction multiplier method (ADMM) algorithm is then used to optimally solve the variational model to obtain the spatial detail that needs to be injected into the MS image. Finally, the model optimization solving process is expanded into a corresponding neural network structure using the idea of deep unrolling. Each network module corresponds to the solving step of the iterative algorithm. Our proposed pansharpening method is therefore interpretable in terms of spatial detail injection. In our experiments, we find that the proposed method achieves an optimal balance between spectral and spatial quality, and has a strong generalization capability over different datasets, demonstrating the superiority of the proposed pansharpening method.
    Keywords algorithms ; data collection ; models ; multipliers ; Neural network ; variational model ; pansharpening ; interpretability
    Language English
    Dates of publication 2023-0319
    Size p. 1842-1871.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ZDB-ID 1497529-4
    ISSN 1366-5901 ; 0143-1161
    ISSN (online) 1366-5901
    ISSN 0143-1161
    DOI 10.1080/01431161.2023.2190470
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Identification and classification of particle contaminants on photomasks based on individual-particle Raman scattering spectra and SEM images.

    Li, Dongxian / Zhang, Tao / Yue, Weisheng / Gao, Ping / Luo, Yunfei / Wang, Changtao / Luo, Xiangang

    RSC advances

    2022  Volume 12, Issue 51, Page(s) 33349–33357

    Abstract: Particle contamination of photo masks is a significant issue facing the micro-nanofabrication process. It is necessary to analyze the particulate matter so that the contamination can be effectively controlled and eliminated. In this study, Raman ... ...

    Abstract Particle contamination of photo masks is a significant issue facing the micro-nanofabrication process. It is necessary to analyze the particulate matter so that the contamination can be effectively controlled and eliminated. In this study, Raman spectroscopy was used in combination with scanning electron microscopy with energy analysis (SEM-EDX) techniques to study the contamination of individual particles on the photomask. From Raman spectroscopic analysis, the Raman bands of particles mainly contributed to the vibrational modes of the elements C, H, O, and N. Their morphology and elemental composition were determined by SEM-EDX. The sizes of the particles are mostly less than 0.8 μm according to the SEM image analysis. Hierarchical clustering analysis (HCA) of the Raman spectra of particles have shown that the particles can be classified into six clusters which are assigned to CaCO
    Language English
    Publishing date 2022-11-22
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d2ra05672k
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Tide drives nutrients variation and exchange flux in the semi-enclosed Shuidong Bay coastal water in winter, South China Sea

    Fu, Miaojian / Lin, Jielin / Zhang, Peng / Luo, Weisheng / Zhang, Jibiao

    Ocean and Coastal Management. 2023 Aug., v. 242 p.106710-

    2023  

    Abstract: Nutrients play a key role in coastal ecosystems. Coastal tide is an important driver of the daily nutrient variability in semi-enclosed bay under the intensive human activities and climate change. However, the extent of tidal effects on the nutrients ... ...

    Abstract Nutrients play a key role in coastal ecosystems. Coastal tide is an important driver of the daily nutrient variability in semi-enclosed bay under the intensive human activities and climate change. However, the extent of tidal effects on the nutrients variation and exchange flux in the semi-enclosed bay in winter is still scarcely. In this study, seawater samples were collected by synchronous continuous observation during winter in 2021, to investigate tide drives nutrients variation and exchange flux between Shuidong Bay (SDB) and South China Sea (SCS). The results showed most nutrients were significantly impacted by the tidal variation in the SDB with the semi-diurnal cycle. Coastal flood water can increase seawater exchange capacity due to strong dilution influenced by the outer SCS water, resulting mitigate adverse effects of nutrient enrichment in the semi-enclosed bay. In addition, the concentrations of total dissolved nitrogen (TDN), total dissolved phosphorus (TDP), and silicate (DSi) were 146.75 μmol/L, 1.06 μmol/L, and 6.15 μmol/L. Besides, there was a relative excess of nitrogen, phosphorus and silicate were limiting factors in the SDB, and nutrients significantly impacted the Chlorophyll-a in coastal water. Moreover, both TDP and DSi were transported from the SDB to the SCS with a net exchange flux of 0.23 t and 1.99 t, while TDN was transported from the SCS to the SDB with a net exchange flux of 0.14 t, resulting in nutrients ratio increase in the SDB coastal water. Statistical analysis identified the tide induced hydrological variations and terrestrial inputs dominated nutrient dynamics in the SDB coastal water. This study provided a new understanding of the variation and transport of nutrients driven by tide in the SDB, which is implications for understanding the biogeochemistry of nutrients in daily scale and water quality management in the semi-enclosed bay in future.
    Keywords biogeochemistry ; chlorophyll ; climate change ; coastal water ; coastal zone management ; humans ; nitrogen ; phosphorus ; seawater ; silicates ; statistical analysis ; total dissolved nitrogen ; total dissolved phosphorus ; water quality ; winter ; South China Sea ; Tidal variation ; Nutrient ; Composition ; Exchange flux
    Language English
    Dates of publication 2023-08
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ISSN 0964-5691
    DOI 10.1016/j.ocecoaman.2023.106710
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: Impact of Biochar on Soil Properties, Pore Water Properties, and Available Cadmium.

    Su, Jiao / Weng, Xia / Luo, Zijian / Huang, Huchen / Wang, Weisheng

    Bulletin of environmental contamination and toxicology

    2021  Volume 107, Issue 3, Page(s) 544–552

    Abstract: Some effects of biochar on soil properties (such as pore water DOC) are not very clear. The changes of soil properties [cation exchange capacity (CEC)], pore water properties [pH, dissolved organic carbon (DOC), and Cd concentration ( ... ...

    Abstract Some effects of biochar on soil properties (such as pore water DOC) are not very clear. The changes of soil properties [cation exchange capacity (CEC)], pore water properties [pH, dissolved organic carbon (DOC), and Cd concentration (C
    MeSH term(s) Cadmium/analysis ; Charcoal ; Oryza ; Soil ; Soil Pollutants/analysis ; Water
    Chemical Substances Soil ; Soil Pollutants ; biochar ; Cadmium (00BH33GNGH) ; Water (059QF0KO0R) ; Charcoal (16291-96-6)
    Language English
    Publishing date 2021-05-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 6895-0
    ISSN 1432-0800 ; 0007-4861
    ISSN (online) 1432-0800
    ISSN 0007-4861
    DOI 10.1007/s00128-021-03259-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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