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  1. Article ; Online: CoO/MoO

    Jiang, Yuxuan / Du, Meng / Geng, Pengbiao / Sun, Bingxin / Zhu, Rongmei / Pang, Huan

    Journal of colloid and interface science

    2024  Volume 664, Page(s) 617–625

    Abstract: Lithium-sulfur batteries (LSBs) have emerged as a promising energy storage system, but their practical application is hindered by the polysulfide shuttle effect and sluggish redox kinetics. To address these challenges, we have developed CoO/ ... ...

    Abstract Lithium-sulfur batteries (LSBs) have emerged as a promising energy storage system, but their practical application is hindered by the polysulfide shuttle effect and sluggish redox kinetics. To address these challenges, we have developed CoO/MoO
    Language English
    Publishing date 2024-03-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 241597-5
    ISSN 1095-7103 ; 0021-9797
    ISSN (online) 1095-7103
    ISSN 0021-9797
    DOI 10.1016/j.jcis.2024.03.015
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: MSRA-Net: Tumor segmentation network based on Multi-scale Residual Attention.

    Wu, Yuxuan / Jiang, Huiyan / Pang, Wenbo

    Computers in biology and medicine

    2023  Volume 158, Page(s) 106818

    Abstract: Automatic Medical segmentation of medical images is an important part in the field of computer medical diagnosis, among which tumor segmentation is an important branch of medical image segmentation. Accurate automatic segmentation method is very ... ...

    Abstract Automatic Medical segmentation of medical images is an important part in the field of computer medical diagnosis, among which tumor segmentation is an important branch of medical image segmentation. Accurate automatic segmentation method is very important in medical diagnosis and treatment. Positron emission computed tomography (PET) and X-ray computed tomography (CT) images are widely used in medical image segmentation to help doctors accurately locate information such as tumor location and shape, providing metabolic and anatomical information, respectively. At present, PET/CT images have not been effectively combined in the research of medical image segmentation, and the complementary semantic information between the superficial and deep layers of neural network has not been ensured. To solve the above problems, this paper proposed a Multi-scale Residual Attention network (MSRA-Net) for tumor segmentation of PET/CT. We first use an attention-fusion based approach to automatically learn the tumor-related areas of PET images and weaken the irrelevant area. Then, the segmentation results of PET branch are processed to optimize the segmentation results of CT branch by using attention mechanism. The proposed neural network (MSRA-Net) can effectively fuse PET image and CT image, which can improve the precision of tumor segmentation by using complementary information of the multi-modal image, and reduce the uncertainty of single modal image segmentation. Proposed model uses multi-scale attention mechanism and residual module, which fuse multi-scale features to form complementary features of different scales. We compare with state-of-the-art medical image segmentation methods. The experiment showed that the Dice coefficient of the proposed network in soft tissue sarcoma and lymphoma datasets increased by 8.5% and 6.1% respectively compared with UNet, showing a significant improvement.
    MeSH term(s) Humans ; Positron Emission Tomography Computed Tomography ; Neoplasms/diagnostic imaging ; Positron-Emission Tomography ; Learning ; Neural Networks, Computer ; Image Processing, Computer-Assisted
    Language English
    Publishing date 2023-03-22
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2023.106818
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Conductive Metal-Organic Framework Grown on the Nickel-Based Hydroxide to Realize High-Performance Electrochemical Glucose Sensing.

    Zhu, Rongmei / Song, Yongzhen / Hu, Jinliang / Zhu, Keda / Liu, Limei / Jiang, Yuxuan / Xie, Liru / Pang, Huan

    Chemistry (Weinheim an der Bergstrasse, Germany)

    2024  , Page(s) e202400982

    Abstract: Glucose holds significant importance in disease diagnosis as well as beverage quality monitoring. The high-efficiency electrochemical sensor plays a crucial role in the electrochemical conversion technology. Ni(OH) ...

    Abstract Glucose holds significant importance in disease diagnosis as well as beverage quality monitoring. The high-efficiency electrochemical sensor plays a crucial role in the electrochemical conversion technology. Ni(OH)
    Language English
    Publishing date 2024-03-27
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1478547-X
    ISSN 1521-3765 ; 0947-6539
    ISSN (online) 1521-3765
    ISSN 0947-6539
    DOI 10.1002/chem.202400982
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Predicting environmental risks of pharmaceutical residues by wastewater surveillance: An analysis based on pharmaceutical sales and their excretion data.

    Pang, Lihao / He, Kai / Zhang, Yuxuan / Li, Penghui / Lin, Yingchao / Yue, Junjie

    The Science of the total environment

    2024  Volume 916, Page(s) 170204

    Abstract: Pharmaceutical residues are increasingly becoming a significant source of environmental water pollution and ecological risk. This study, leveraging official national pharmaceutical sales statistics, predicts the environmental concentrations of 33 typical ...

    Abstract Pharmaceutical residues are increasingly becoming a significant source of environmental water pollution and ecological risk. This study, leveraging official national pharmaceutical sales statistics, predicts the environmental concentrations of 33 typical pharmaceuticals in the Tianjin area. The results show that 52 % of the drugs have a PEC/MEC (Predicted Environmental Concentration/Measured Environmental Concentration) ratio within the acceptable range of 0.5-2, including atenolol (1.21), carbamazepine (1.22), and sulfamethoxazole (0.91). Among the selected drugs, tetracycline, ciprofloxacin, and acetaminophen had the highest predicted concentrations. The EPI (Estimation Programs Interface) biodegradation model, a tool from the US Environmental Protection Agency, is used to predict the removal efficiency of compounds in wastewater treatment plants. The results indicate that the EPI predictions are acceptable for macrolide antibiotics and β-blockers, with removal rates of roxithromycin, spiramycin, acetaminophen, and carbamazepine being 14.1 %, 61.2 %, 75.1 %, and 44.5 %, respectively. However, the model proved to be less effective for fluoroquinolone antibiotics. The ECOSAR (Ecological Structure-Activity Relationships) model was used to supplement the assessment of the potential impacts of drugs on aquatic ecosystems, further refining the analysis of pharmaceutical environmental risks. By combining the concentration and detection frequency of pharmaceutical wastewater, this study identified 9 drugs with significant toxicological risks and marked another 24 drugs as substances of potential concern. Additionally, this study provides data support for addressing pharmaceutical residues of priority concern in subsequent research.
    MeSH term(s) Wastewater ; Waste Disposal, Fluid ; Wastewater-Based Epidemiological Monitoring ; Water Pollutants, Chemical/analysis ; Ecosystem ; Acetaminophen ; Environmental Monitoring/methods ; Anti-Bacterial Agents/analysis ; Carbamazepine/analysis ; Pharmaceutical Preparations
    Chemical Substances Wastewater ; Water Pollutants, Chemical ; Acetaminophen (362O9ITL9D) ; Anti-Bacterial Agents ; Carbamazepine (33CM23913M) ; Pharmaceutical Preparations
    Language English
    Publishing date 2024-01-21
    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.2024.170204
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Advances in Hypoxia-Inducible Factor-1

    Zhu, Yanlin / Chang, Bei / Pang, Yuxuan / Wang, Huimin / Zhou, Yanmin

    Tissue engineering. Part B, Reviews

    2023  Volume 29, Issue 4, Page(s) 347–357

    Abstract: Deferoxamine (DFO) is an iron chelator with FDA approval for the clinical treatment of iron excess. As a well-established stabilizer of hypoxia-inducible factor-1α (HIF-1α), DFO can efficiently upregulate HIF-1α and relevant downstream angiogenic factors, ...

    Abstract Deferoxamine (DFO) is an iron chelator with FDA approval for the clinical treatment of iron excess. As a well-established stabilizer of hypoxia-inducible factor-1α (HIF-1α), DFO can efficiently upregulate HIF-1α and relevant downstream angiogenic factors, leading to accelerated vascularization. Moreover, as increasing studies have focused on DFO as a hypoxia-mimetic agent in recent years, it has been shown that DFO exhibited multiple functions, including stem cell regulation, immunoregulation, provascularization, and pro-osteogenesis. On the contrary, DFO can bind excess iron ions in wounds of chronic inflammation, while serving as an antioxidant with the characteristic of removing reactive oxygen species. Collectively, these characteristics make DFO a potent modulator in tissue engineering for increasing tissue integration of biomaterials
    MeSH term(s) Humans ; Deferoxamine/pharmacology ; Tissue Engineering ; Hypoxia-Inducible Factor 1, alpha Subunit ; Biocompatible Materials ; Hypoxia/drug therapy ; Iron
    Chemical Substances Deferoxamine (J06Y7MXW4D) ; Hypoxia-Inducible Factor 1, alpha Subunit ; Biocompatible Materials ; Iron (E1UOL152H7)
    Language English
    Publishing date 2023-02-01
    Publishing country United States
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2420584-9
    ISSN 1937-3376 ; 1937-3368
    ISSN (online) 1937-3376
    ISSN 1937-3368
    DOI 10.1089/ten.TEB.2022.0168
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: KinPred-RNA-kinase activity inference and cancer type classification using machine learning on RNA-seq data.

    Zhang, Yuntian / Yao, Lantian / Chung, Chia-Ru / Huang, Yixian / Li, Shangfu / Zhang, Wenyang / Pang, Yuxuan / Lee, Tzong-Yi

    iScience

    2024  Volume 27, Issue 4, Page(s) 109333

    Abstract: Kinases as important enzymes can transfer phosphate groups from high-energy and phosphate-donating molecules to specific substrates and play essential roles in various cellular processes. Existing algorithms for kinase activity from phosphorylated ... ...

    Abstract Kinases as important enzymes can transfer phosphate groups from high-energy and phosphate-donating molecules to specific substrates and play essential roles in various cellular processes. Existing algorithms for kinase activity from phosphorylated proteomics data are often costly, requiring valuable samples. Moreover, methods to extract kinase activities from bulk RNA sequencing data remain undeveloped. In this study, we propose a computational framework KinPred-RNA to derive kinase activities from bulk RNA-sequencing data in cancer samples. KinPred-RNA framework, using the extreme gradient boosting (XGBoost) regression model, outperforms random forest regression, multiple linear regression, and support vector machine regression models in predicting kinase activities from cancer-related RNA sequencing data. Efficient gene signatures from the LINCS-L1000 dataset were used as inputs for KinPred-RNA. The results highlight its potential to be related to biological function. In conclusion, KinPred RNA constitutes a significant advance in cancer research by potentially facilitating the identification of cancer.
    Language English
    Publishing date 2024-02-28
    Publishing country United States
    Document type Journal Article
    ISSN 2589-0042
    ISSN (online) 2589-0042
    DOI 10.1016/j.isci.2024.109333
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Efficient dye adsorption of mesoporous activated carbon from bamboo parenchyma cells by phosphoric acid activation.

    Yao, Yuxuan / Zuo, Haifeng / Liu, Yijing / Pang, Shenghua / Lan, Liuqian / Yao, Futi / Wu, Yongyi / Liu, Zhigao

    RSC advances

    2024  Volume 14, Issue 18, Page(s) 12873–12882

    Abstract: In order to solve the environmental damage caused by the discharge of dyes as industrial wastewater, the development of efficient and sustainable adsorbents is the key, while most of the previous studies on bamboo parenchyma cells have focused on their ... ...

    Abstract In order to solve the environmental damage caused by the discharge of dyes as industrial wastewater, the development of efficient and sustainable adsorbents is the key, while most of the previous studies on bamboo parenchyma cells have focused on their microstructural, functional and mechanical properties, and few of the properties in adsorption have been investigated. To evaluate the role of the unique microstructure of bamboo parenchyma cells on adsorption after carbonization and activation, PC-based activated carbon (PPAC) was fabricated by the phosphoric acid activation method and tested for adsorption using methylene blue (MB). The effect of mesoporous structure on MB adsorption was investigated in detail using PPAC-30C impregnated with phosphoric acid at a concentration of 30%. The results showed that the adsorption performance was influenced by single-factor experiments (
    Language English
    Publishing date 2024-04-22
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d4ra01652a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Correction: Granulin as an important immune molecule involved in lamprey tissue repair and regeneration by promoting cell proliferation and migration.

    Sun, Ruixiang / Wang, Dong / Song, Yuxuan / Li, Qingwei / Su, Peng / Pang, Yue

    Cellular & molecular biology letters

    2022  Volume 27, Issue 1, Page(s) 96

    Language English
    Publishing date 2022-10-31
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2108724-6
    ISSN 1689-1392 ; 1689-1392
    ISSN (online) 1689-1392
    ISSN 1689-1392
    DOI 10.1186/s11658-022-00396-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Both LTA and LTB Subunits Are Equally Important to Heat-Labile Enterotoxin (LT)-Enhanced Bacterial Adherence.

    Duan, Qiangde / Pang, Shengmei / Feng, Lili / Li, Baoliang / Lv, Linfen / Liang, Yuxuan / Zhu, Guoqiang

    International journal of molecular sciences

    2023  Volume 24, Issue 2

    Abstract: There is increasing evidence indicating that the production of heat-labile enterotoxin (LT) enhances bacterial adherence within in vitro and in vivo models. However, which subunit plays the main role, and the precise regulatory mechanisms remain unclear. ...

    Abstract There is increasing evidence indicating that the production of heat-labile enterotoxin (LT) enhances bacterial adherence within in vitro and in vivo models. However, which subunit plays the main role, and the precise regulatory mechanisms remain unclear. To further elucidate the contribution of the A subunit of LT (LTA) and the B subunit of LT (LTB) in LT-enhanced bacterial adherence, we generated several LT mutants where their ADP-ribosylation activity or GM1 binding ability was impaired and evaluated their abilities to enhance the two LT-deficient
    MeSH term(s) Enterotoxins/genetics ; Enterotoxins/metabolism ; Escherichia coli/genetics ; Escherichia coli/metabolism ; Bacterial Toxins/genetics ; Bacterial Toxins/metabolism ; Hot Temperature ; G(M1) Ganglioside ; Escherichia coli Proteins/genetics
    Chemical Substances Enterotoxins ; Bacterial Toxins ; G(M1) Ganglioside (37758-47-7) ; Escherichia coli Proteins
    Language English
    Publishing date 2023-01-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms24021245
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Gallic acid-grafted chitosan antibacterial hydrogel incorporated with polydopamine-modified hydroxyapatite for enhancing bone healing.

    Pang, Yuxuan / Guan, Lin / Zhu, Yanlin / Niu, Ruijuan / Zhu, Song / Lin, Quan

    Frontiers in bioengineering and biotechnology

    2023  Volume 11, Page(s) 1162202

    Abstract: An open critical-size bone defect is a major medical problem because of the difficulty in self-healing, leading to an increased risk of bacterial infection owing to wound exposure, resulting in treatment failure. Herein, a composite hydrogel was ... ...

    Abstract An open critical-size bone defect is a major medical problem because of the difficulty in self-healing, leading to an increased risk of bacterial infection owing to wound exposure, resulting in treatment failure. Herein, a composite hydrogel was synthesized by chitosan, gallic acid, and hyaluronic acid, termed "CGH." Hydroxyapatite was modified with polydopamine (PDA@HAP) and introduced to CGH to obtain a mussel-inspired mineralized hydrogel (CGH/PDA@HAP). The CGH/PDA@HAP hydrogel exhibited excellent mechanical performances, including self-healing and injectable properties. Owing to its three-dimensional porous structure and polydopamine modifications, the cellular affinity of the hydrogel was enhanced. When adding PDA@HAP into CGH, Ca
    Language English
    Publishing date 2023-06-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2023.1162202
    Database MEDical Literature Analysis and Retrieval System OnLINE

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