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  1. Artikel ; Online: Enhancing shipyard transportation efficiency through dynamic scheduling using digital twin technology.

    Sun, Miaomiao / Liang, Chengji / Chang, Daofang

    PloS one

    2024  Band 19, Heft 2, Seite(n) e0297069

    Abstract: Uncertainties, such as road restrictions at shipyards and the irregular shape of blocks, pose challenges for transporter scheduling. Efficient scheduling of multiple transporters is critical to improving transportation efficiency. The digital twin (DT) ... ...

    Abstract Uncertainties, such as road restrictions at shipyards and the irregular shape of blocks, pose challenges for transporter scheduling. Efficient scheduling of multiple transporters is critical to improving transportation efficiency. The digital twin (DT) technology offers numerous benefits, enabling interactions between the virtual and real worlds, real-time mapping, and dynamic performance evaluation. Based on DT technology, this study proposes a dynamic scheduling approach for cooperative transportation utilizing multiple transporters. The scheduling problem for multiple transporters is addressed and modeled in this study, considering factors such as block size and transporter loading. To solve this problem, a framework of DT-based multiple transporters system is established in a virtual environment. By inputting block information into this system, a solution is generated using transporter scheduling rules and interference detection methods. Experimental comparisons are conducted in this paper, exploring various scenarios with different number of tasks and the application of DT. The results demonstrate that the proposed approach effectively enhances transportation efficiency and improves ship construction efficiency. Hence, this study expands the application of DT technology in dynamic scheduling of transportation in shipyards and provides new ideas for shipbuilding company managers.
    Mesh-Begriff(e) Transportation ; Digital Technology ; Membrane Transport Proteins ; Uncertainty
    Chemische Substanzen Membrane Transport Proteins
    Sprache Englisch
    Erscheinungsdatum 2024-02-29
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0297069
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel: How Nurses' Person-Organization Fit Influences Organizational Loyalty.

    Sun, Miaomiao / Alam, Fahad / Ma, Cunxiao

    Risk management and healthcare policy

    2023  Band 16, Seite(n) 2019–2036

    Abstract: Background: High turnover rates among nurses are a global concern due to the shortage of skilled professionals and increasing demand for high-quality healthcare. This study aims to enhance understanding of organizational fit by examining the impact of ... ...

    Abstract Background: High turnover rates among nurses are a global concern due to the shortage of skilled professionals and increasing demand for high-quality healthcare. This study aims to enhance understanding of organizational fit by examining the impact of Person-organization fit (P-O fit) on organizational loyalty through the mediating role of organizational support and service quality, and the moderating impact of role ambiguity.
    Methods: Using a convenience sampling technique, we employed a survey methodology by developing a questionnaire. Data were collected from a sample of 614 nurses in five different healthcare sectors in China. Employing SmartPLS 3.3, we conducted a Structural Equation Modeling (SEM) analysis to examine the relationships among the specified variables.
    Results: The findings of the structural analysis suggest that the P-O fit influences organizational loyalty in the healthcare sector. Organizational support and service quality were identified as partial mediators of the P-O fit-organizational loyalty link. Additionally, the role of ambiguity represented a negative moderating impact between service quality and organizational loyalty.
    Discussion: Overall, the study's findings extend the understanding of person-organization fit, organizational support, service quality, role ambiguity, and organizational loyalty in the context of healthcare sectors and offer implications for medical authorities. Discussions, limitations, practical implications, and suggestions for further research are also provided.
    Sprache Englisch
    Erscheinungsdatum 2023-09-29
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2495128-6
    ISSN 1179-1594
    ISSN 1179-1594
    DOI 10.2147/RMHP.S425025
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  3. Artikel ; Online: Gastrointestinal stromal tumor of jejunum misdiagnosed as uterine leiomyoma: A case report.

    Yu, Min / Sun, Miaomiao / Guo, Shanwei / Nan, Fangfang

    Asian journal of surgery

    2023  Band 46, Heft 3, Seite(n) 1457–1458

    Mesh-Begriff(e) Humans ; Jejunum/pathology ; Gastrointestinal Stromal Tumors/diagnosis ; Gastrointestinal Stromal Tumors/surgery ; Gastrointestinal Stromal Tumors/pathology ; Leiomyoma/diagnostic imaging ; Leiomyoma/surgery ; Abdomen ; Diagnostic Errors
    Sprache Englisch
    Erscheinungsdatum 2023-01-05
    Erscheinungsland China
    Dokumenttyp Case Reports ; Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2022.07.159
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  4. Artikel ; Online: Expression significance of Emi1, UBCH10 and CyclinB1 in esophageal squamous cell carcinoma.

    Li, Hui / Yang, Chenbo / Chen, Kuisheng / Sun, Miaomiao

    Pathology oncology research : POR

    2023  Band 29, Seite(n) 1611081

    Abstract: Despite significant advances in the diagnosis and treatment of esophageal squamous cell carcinoma (ESCC), esophageal cancer is still a heavy social and medical burden due to its high incidence. Uncontrolled division and proliferation is one of the ... ...

    Abstract Despite significant advances in the diagnosis and treatment of esophageal squamous cell carcinoma (ESCC), esophageal cancer is still a heavy social and medical burden due to its high incidence. Uncontrolled division and proliferation is one of the characteristics of tumor cells, which will promote rapid tumor growth and metastasis. Early mitotic inhibitor 1 (Emi1), ubiquitin-conjugating enzyme 10 (UBCH10) and CyclinB1 are important proteins involved in the regulation of cell cycle. In this study, the expression of Emi1, UBCH10 and CyclinB1 in ESCC tissues and adjacent normal tissues will be analyzed by immunohistochemistry and
    Mesh-Begriff(e) Humans ; Biomarkers, Tumor/genetics ; Biomarkers, Tumor/metabolism ; Cell Cycle ; Cell Line, Tumor ; Cell Proliferation/genetics ; Esophageal Neoplasms/genetics ; Esophageal Neoplasms/pathology ; Esophageal Squamous Cell Carcinoma/genetics ; Gene Expression Regulation, Neoplastic ; Immunohistochemistry ; Ubiquitin-Conjugating Enzymes/genetics
    Chemische Substanzen Biomarkers, Tumor ; Ubiquitin-Conjugating Enzymes (EC 2.3.2.23) ; CCNB1 protein, human ; UBE2C protein, human (EC 2.3.2.23) ; FBXO5 protein, human
    Sprache Englisch
    Erscheinungsdatum 2023-04-24
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 1375979-6
    ISSN 1532-2807 ; 1219-4956
    ISSN (online) 1532-2807
    ISSN 1219-4956
    DOI 10.3389/pore.2023.1611081
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  5. Artikel ; Online: Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel.

    Sun, Miaomiao / Xu, Bo / Chen, Chao / Zhu, Youjie / Li, Xiaomo / Chen, Kuisheng

    Clinical epigenetics

    2024  Band 16, Heft 1, Seite(n) 25

    Abstract: Rationale: Cancer of unknown primary (CUP) is a group of rare malignancies with poor prognosis and unidentifiable tissue-of-origin. Distinct DNA methylation patterns in different tissues and cancer types enable the identification of the tissue of origin ...

    Abstract Rationale: Cancer of unknown primary (CUP) is a group of rare malignancies with poor prognosis and unidentifiable tissue-of-origin. Distinct DNA methylation patterns in different tissues and cancer types enable the identification of the tissue of origin in CUP patients, which could help risk assessment and guide site-directed therapy.
    Methods: Using genome-wide DNA methylation profile datasets from The Cancer Genome Atlas (TCGA) and machine learning methods, we developed a 200-CpG methylation feature classifier for CUP tissue of origin prediction (MFCUP). MFCUP was further validated with public-available methylation array data of 2977 specimens and targeted methylation sequencing of 78 Formalin-fixed paraffin-embedded (FFPE) samples from a single center.
    Results: MFCUP achieved an accuracy of 97.2% in a validation cohort (n = 5923) representing 25 cancer types. When applied to an Infinium 450 K array dataset (n = 1052) and an Infinium EPIC (850 K) array dataset (n = 1925), MFCUP achieved an overall accuracy of 93.4% and 84.8%, respectively. Based on MFCUP, we established a targeted bisulfite sequencing panel and validated it with FFPE sections from 78 patients of 20 cancer types. This methylation sequencing panel correctly identified tissue of origin in 88.5% (69/78) of samples. We also found that the methylation levels of specific CpGs can distinguish one cancer type from others, indicating their potential as biomarkers for cancer diagnosis and screening.
    Conclusion: Our methylation-based cancer classifier and targeted methylation sequencing panel can predict tissue of origin in diverse cancer types with high accuracy.
    Mesh-Begriff(e) Humans ; DNA Methylation ; Neoplasms, Unknown Primary/diagnosis ; Neoplasms, Unknown Primary/genetics ; Sequence Analysis, DNA
    Sprache Englisch
    Erscheinungsdatum 2024-02-09
    Erscheinungsland Germany
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2553921-8
    ISSN 1868-7083 ; 1868-7075
    ISSN (online) 1868-7083
    ISSN 1868-7075
    DOI 10.1186/s13148-024-01638-6
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: Echinacoside promotes osteogenesis and angiogenesis and inhibits osteoclast formation.

    Yi, Qingqing / Sun, Miaomiao / Jiang, Guowei / Liang, Pengchen / Chang, Qing / Yang, Rong

    European journal of clinical investigation

    2024  , Seite(n) e14198

    Abstract: Purpose: The purpose of this research is to demonstrate echinacoside promotes osteogenesis and angiogenesis and inhibits osteoclast formation.: Methods: We conducted a cell experiment in vitro to study how echinacoside affects angiogenesis, ... ...

    Abstract Purpose: The purpose of this research is to demonstrate echinacoside promotes osteogenesis and angiogenesis and inhibits osteoclast formation.
    Methods: We conducted a cell experiment in vitro to study how echinacoside affects angiogenesis, osteogenesis and osteoclast formation. We used polymerase chain reaction and Western blotting to detect the expression levels of proteins and genes related to angiogenesis, osteogenesis and osteoclast formation. We established a bone fracture model with rats to test angiogenesis, osteogenesis and osteoclast formation of echinacoside. We labelled osteogenic markers, blood vessels and osteoclastic markers in fracture sections of rats.
    Results: The in vitro cell experiments showed echinacoside improved the osteogenic activity of mouse embryo osteoblast precursor cells and promoted the migration and tube formation of human umbilical vein endothelial cells. In addition, it inhibited differentiation of mouse leukaemia cells of monocyte macrophage. Echinacoside increased the expression of related proteins and genes and improved angiogenesis and osteogenesis while inhibiting osteoclast formation by repressing the expression of related proteins and genes. From in vivo experiments, the results of IHC and HE experiments demonstrated echinacoside significantly decreased the content of MMP-9 and improved the content of VEGF and OCN. The fluorescence immunoassay showed echinacoside promoted the activities of RUNX2 and VEGF and inhibited CTSK. Echinacoside reduced the content of TNF-α, IL-1β and IL-6, thus demonstrating its anti-inflammatory activity.
    Conclusion: Echinacoside improved angiogenesis and osteogenesis and inhibited osteoclast formation to promote fracture healing.
    Sprache Englisch
    Erscheinungsdatum 2024-03-19
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 186196-7
    ISSN 1365-2362 ; 0014-2972 ; 0960-135X
    ISSN (online) 1365-2362
    ISSN 0014-2972 ; 0960-135X
    DOI 10.1111/eci.14198
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  7. Artikel ; Online: Causality between COVID-19 and multiple myeloma: a two-sample Mendelian randomization study and Bayesian co-localization.

    Wang, Shuaiyuan / Zhao, Na / Luo, Ting / Kou, Songzi / Sun, Miaomiao / Chen, Kuisheng

    Clinical and experimental medicine

    2024  Band 24, Heft 1, Seite(n) 42

    Abstract: Infection is the leading cause of morbidity and mortality in patients with multiple myeloma (MM). Studying the relationship between different traits of Coronavirus 2019 (COVID-19) and MM is critical for the management and treatment of MM patients with ... ...

    Abstract Infection is the leading cause of morbidity and mortality in patients with multiple myeloma (MM). Studying the relationship between different traits of Coronavirus 2019 (COVID-19) and MM is critical for the management and treatment of MM patients with COVID-19. But all the studies on the relationship so far were observational and the results were also contradictory. Using the latest publicly available COVID-19 genome-wide association studies (GWAS) data, we performed a bidirectional Mendelian randomization (MR) analysis of the causality between MM and different traits of COVID-19 (SARS-CoV-2 infection, COVID-19 hospitalization, and severe COVID-19) and use multi-trait analysis of GWAS(MTAG) to identify new associated SNPs in MM. We performed co-localization analysis to reveal potential causal pathways between diseases and over-representation enrichment analysis to find involved biological pathways. IVW results showed SARS-CoV-2 infection and COVID-19 hospitalization increased risk of MM. In the reverse analysis, the causal relationship was not found between MM for each of the different symptoms of COVID-19. Co-localization analysis identified LZTFL1, MUC4, OAS1, HLA-C, SLC22A31, FDX2, and MAPT as genes involved in COVID-19-mediated causation of MM. These genes were mainly related to immune function, glycosylation modifications and virus defense. Three novel MM-related SNPs were found through MTAG, which may regulate the expression of B3GNT6. This is the first study to use MR to explore the causality between different traits of COVID-19 and MM. The results of our two-way MR analysis found that SARS-CoV-2 infection and COVID-19 hospitalization increased the susceptibility of MM.
    Mesh-Begriff(e) Humans ; Bayes Theorem ; Genome-Wide Association Study ; Mendelian Randomization Analysis ; Multiple Myeloma/genetics ; COVID-19/genetics ; SARS-CoV-2/genetics
    Sprache Englisch
    Erscheinungsdatum 2024-02-24
    Erscheinungsland Italy
    Dokumenttyp Journal Article
    ZDB-ID 2053018-3
    ISSN 1591-9528 ; 1591-8890
    ISSN (online) 1591-9528
    ISSN 1591-8890
    DOI 10.1007/s10238-024-01299-y
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  8. Artikel ; Online: Application of GC-MS-AMDIS Combined with Retention Index in the Accurate Qualitative Analysis of Aroma Components in Rose Water

    LEI Chun-ni / WANG Bo / SUN Miao-miao / DAI Lu

    Zhipu Xuebao, Vol 43, Iss 1, Pp 109-

    2022  Band 120

    Abstract: The aroma of rose water is positively correlated with its quality and economic benefits, and it is the main basis for determining the quality of rose water. The volatile components in rose water were analyzed by headspace solid phase microextraction-gas ... ...

    Abstract The aroma of rose water is positively correlated with its quality and economic benefits, and it is the main basis for determining the quality of rose water. The volatile components in rose water were analyzed by headspace solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) combined with automatic mass spectrometry deconvolution and identification system (AMDIS). Taking Kushui rose flower water as the research object, the effects of different solid phase extraction heads, sample volume, magnetic stirring method, sodium chloride content, extraction temperature, equilibrium time, and extraction time on the extraction effect of rose flower dew aroma components were optimized. Peak area and peak number were two indicators to investigate the extraction effect of each factor. The chromatographic peaks were purified by AMDIS under the optimal experimental parameters: solid phase extraction head of 75 μm Carboxen/PDMS, sample size of 10 mL, magnetic stirring, sodium chloride content of 1.0 g, equilibrium time of 20 min, extraction temperature of 40 ℃, extraction time of 40 min. 60 kinds of aroma components in rose flower water and rose cell liquid were identified with the Spectral Library Search and retention index. 59 kinds of rose flower water were identified, and the relatively high content of aroma components were citronellol (19.00%), methyl eugenol (13.97%), eugenol (13.81%), α-terpineol (11.80%), linalool (5.27%). 22 kinds of rose cell sap were identified, and the relatively high content of aroma components were citronellol (44.22%), benzyl alcohol(6.07%), methyl eugenol (5.08%), α-terpineol (5.08%), (E)-linalool oxide (3.39%), linalool (3.10%). There were 21 kinds of components in rose water and rose cell fluid, the sum of relative content was 76.60% and 78.42%, respectively. The results showed that the identification results obtained by automatic deconvolution technology, library search and retention index were mutually verified, which could significantly improve the accuracy and ...
    Schlagwörter headspace solid phase microextraction (hs-spme) ; rose water ; automated mass spectral deconvolution and identification system (amdis) ; retention index ; Chemistry ; QD1-999
    Thema/Rubrik (Code) 660
    Sprache Englisch
    Erscheinungsdatum 2022-01-01T00:00:00Z
    Verlag Editorial Board of Journal of Chinese Mass Spectrometry Society
    Dokumenttyp Artikel ; Online
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  9. Artikel ; Online: Change detection of remote sensing images by combining neighborhood information and structural features

    YE Yuanxin / SUN Miaomiao / WANG Mengmeng / TAN Xin

    Acta Geodaetica et Cartographica Sinica, Vol 50, Iss 10, Pp 1349-

    2021  Band 1357

    Abstract: In order to improve the accuracy of pixel-level change detection methods, this paper proposes a novel change detection method for remote sensing images by combining neighborhood information (including the neighborhood correlation image (NCI) and matching ...

    Abstract In order to improve the accuracy of pixel-level change detection methods, this paper proposes a novel change detection method for remote sensing images by combining neighborhood information (including the neighborhood correlation image (NCI) and matching errors) and structural features. First, a technique of neighborhood correlation analysis is used to obtain the NCI which represents the context information, and the cross-correlation of neighborhood pixels is used to obtain matching errors by a template matching scheme. Then, structure features of images are extracted using orientated gradient information, which are robust to spectral differences between images. Subsequently, the initial change detection results is obtained by using the NCI, the matching errors, and structural features as the classification attributes of a decision tree. Finally, the Markov Random Field (MRF) is used to optimize the results, yielding the final binary map. The proposed method has been evaluated with two sets of bi-temporal remote sensing images from different sensors. Experimental results demonstrate that this method effectively improves the accuracy of change detection compared with the change vector analysis method, the single neighborhood information method and the method combining neighborhood information and texture features.
    Schlagwörter neighborhood information ; matching errors ; structural features ; change detection ; Mathematical geography. Cartography ; GA1-1776
    Thema/Rubrik (Code) 006
    Sprache Chinesisch
    Erscheinungsdatum 2021-10-01T00:00:00Z
    Verlag Surveying and Mapping Press
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Artikel ; Online: Main body, edge decomposition and reorganization network for building change detection

    YE Yuanxin / SUN Miaomiao / ZHOU Liang / YANG Chao / LIU Tianyi / HAO Siyuan

    Acta Geodaetica et Cartographica Sinica, Vol 52, Iss 1, Pp 71-

    2023  Band 81

    Abstract: Traditional neural network methods for building change detection tend to produce the saw-tooth boundaries, and they are difficult to accurately identify change boundaries in dense building areas. To address that, this paper proposes a change detection ... ...

    Abstract Traditional neural network methods for building change detection tend to produce the saw-tooth boundaries, and they are difficult to accurately identify change boundaries in dense building areas. To address that, this paper proposes a change detection method based on main body, edge decomposition and reorganization network. The proposed method performs change detection by respectively modeling body and edges features of buildings, which is on the basis on the characteristics of strong similarity between the body pixels and weak similarity between the edge pixels. In the definition of the proposed method, we first yield dual-temporal multi-scale difference features using a Siamese ResNet structure, and then separate the body features and edge features of buildings by learning a flow field. Subsequently, a feature optimization structure is designed to refine the body and edge features using the body and edge tags. Finally, the optimized body and edge features are reorganized to generate an end-to-end change detection model. Experiments have been performed by using the publicly available building dataset LEVIR-CD, and the results show that the proposed method can accurately identify the boundaries of changing buildings, and obtain better results compared with the methods based on U-Net network and these combining spatial-temporal attention.
    Schlagwörter feature decomposition ; feature optimization ; feature reorganization ; change detection ; Mathematical geography. Cartography ; GA1-1776
    Thema/Rubrik (Code) 720
    Sprache Chinesisch
    Erscheinungsdatum 2023-01-01T00:00:00Z
    Verlag Surveying and Mapping Press
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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