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  1. Article ; Online: Insights on MOF-derived metal-carbon nanostructures for oxygen evolution.

    Chen, Junliang / Qian, Jinjie

    Dalton transactions (Cambridge, England : 2003)

    2024  Volume 53, Issue 7, Page(s) 2903–2916

    Abstract: Electrochemical water splitting has been regarded a promising method for the production of green hydrogen, addressing the need for efficient energy conversion and storage. However, it is severely hindered by the oxygen evolution reaction (OER) because of ...

    Abstract Electrochemical water splitting has been regarded a promising method for the production of green hydrogen, addressing the need for efficient energy conversion and storage. However, it is severely hindered by the oxygen evolution reaction (OER) because of its multi-step four-electron transfer pathway with sluggish reaction kinetics. Microporous metal-organic-frameworks (MOFs), by virtue of large specific surface area, high porosity, tunable composition and morphology, find widespread use as precursors of metal-carbon nanostructures. The resulting carbon nanomaterials can well inherit the characteristics and advantages of the crystalline MOF precursors, and exhibit versatile application prospects in the fields of environment and energy, particularly in OER. Herein, a meticulous overview of the synthesis strategy for MOF-derived metal-carbon nanostructures and the origins of their enhanced OER properties has been demonstrated. We comprehensively illustrate these aspects across three dimensions: MOF selection, metal introduction, and carbon structures. Finally, the challenges and future prospects for this emerging field will be presented.
    Language English
    Publishing date 2024-02-13
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1472887-4
    ISSN 1477-9234 ; 1364-5447 ; 0300-9246 ; 1477-9226
    ISSN (online) 1477-9234 ; 1364-5447
    ISSN 0300-9246 ; 1477-9226
    DOI 10.1039/d3dt04263d
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Effects of micro/nanoplastics on oxidative damage and serum biochemical parameters in rats and mice: a meta-analysis.

    Chen, Junliang / Qi, Ruiquan / Cheng, Ye / Wang, Le / Cao, Xiangyu

    Environmental geochemistry and health

    2024  Volume 46, Issue 6, Page(s) 197

    Abstract: Micro/nanoplastics (MNPs) are emerging as environmental pollutants with potential threats to human health. The accumulation of MNPs in the body can cause oxidative stress and increase the risk of cardiovascular disease (CVD). With the aim to ... ...

    Abstract Micro/nanoplastics (MNPs) are emerging as environmental pollutants with potential threats to human health. The accumulation of MNPs in the body can cause oxidative stress and increase the risk of cardiovascular disease (CVD). With the aim to systematically evaluate the extent of MNPs-induced oxidative damage and serum biochemical parameters in rats and mice, a total of 36 eligible articles were included in this meta-analysis study. The results reported that MNPs can significantly increase the levels of oxidants such as reactive oxygen species (ROS) and malondialdehyde (MDA) (P < 0.05), and resulted in notable increase in serum biochemical parameters including aspartate aminotransferase (AST) and alanine aminotransferase (ALT) (P < 0.05). Conversely, MNPs significantly reduced levels of antioxidants such as superoxide dismutase (SOD), glutathione (GSH), glutathione peroxidase (GPx) and catalase (CAT) (P < 0.05). Subgroup analysis revealed that smaller MNPs with oral administration and prolonged treatment, were associated with more pronounced oxidative stress and enhanced serum biochemical parameters alteration. In addition, after affected by MNPs, the levels of ALT and AST in liver group (SMD = 2.26, 95% CI = [1.59, 2.94] and SMD = 3.10, 95% CI = [1.25, 4.94]) were higher than those in other organs. These comprehensive results provide a scientific foundation for devising strategies to prevent MNPs-induced damage, contributing to solution of this environmental and health challenge.
    MeSH term(s) Animals ; Oxidative Stress/drug effects ; Rats ; Mice ; Aspartate Aminotransferases/blood ; Microplastics/toxicity ; Alanine Transaminase/blood ; Antioxidants/metabolism ; Reactive Oxygen Species/metabolism ; Liver/drug effects ; Liver/metabolism ; Environmental Pollutants/toxicity ; Nanoparticles ; Malondialdehyde/blood ; Superoxide Dismutase/metabolism
    Chemical Substances Aspartate Aminotransferases (EC 2.6.1.1) ; Microplastics ; Alanine Transaminase (EC 2.6.1.2) ; Antioxidants ; Reactive Oxygen Species ; Environmental Pollutants ; Malondialdehyde (4Y8F71G49Q) ; Superoxide Dismutase (EC 1.15.1.1)
    Language English
    Publishing date 2024-05-02
    Publishing country Netherlands
    Document type Journal Article ; Meta-Analysis ; Review
    ZDB-ID 52039-1
    ISSN 1573-2983 ; 0142-7245 ; 0269-4042
    ISSN (online) 1573-2983
    ISSN 0142-7245 ; 0269-4042
    DOI 10.1007/s10653-024-01972-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Part-Aware Framework for Robust Object Tracking.

    Li, Shengjie / Zhao, Shuai / Cheng, Bo / Chen, Junliang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

    2023  Volume PP

    Abstract: The local parts of the target are vitally important for robust object tracking. Nevertheless, existing excellent context regression methods involving siamese networks and discrimination correlation filters mostly represent the target appearance from the ... ...

    Abstract The local parts of the target are vitally important for robust object tracking. Nevertheless, existing excellent context regression methods involving siamese networks and discrimination correlation filters mostly represent the target appearance from the holistic model, showing high sensitivity in scenarios with partial occlusion and drastic appearance changes. In this paper, we address this issue by proposing a novel part-aware framework based on context regression, which simultaneously considers the global and local parts of the target and fully exploits their relationship to be collaboratively aware of the target state online. To this end, the spatial-temporal measure among context regressors corresponding to multiple parts is designed to evaluate the tracking quality of each part regressor by solving the imbalance among global and local parts. The coarse target locations provided by part regressors are further aggregated by treating their measures as weights to refine the final target location. Furthermore, the divergence of multiple part regressors in each frame reveals the interference degree of background noise, which is quantified to control the proposed combination window functions in part regressors to adaptively filter redundant noise. Besides, the spatial-temporal information among part regressors is also leveraged to assist in accurately estimating the target scale. Extensive evaluations demonstrate that the proposed framework help many context regression trackers achieve performance improvements and perform favorably against state-of-the-art methods on the popular benchmarks: OTB, TC128, UAV, UAVDT, VOT, TrackingNet, GOT-10k, LaSOT.
    Language English
    Publishing date 2023-01-05
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0042
    ISSN (online) 1941-0042
    DOI 10.1109/TIP.2022.3232941
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Text2Face: Text-based Face Generation with Geometry and Appearance Control.

    Zhang, Zhaoyang / Chen, Junliang / Fu, Hongbo / Zhao, Jianjun / Chen, Shu-Yu / Gao, Lin

    IEEE transactions on visualization and computer graphics

    2024  Volume PP

    Abstract: Recent years have witnessed the emergence of various techniques proposed for text-based human face generation and manipulation. Such methods, targeting bridging the semantic gap between text and visual contents, provide users with a deft hand to turn ... ...

    Abstract Recent years have witnessed the emergence of various techniques proposed for text-based human face generation and manipulation. Such methods, targeting bridging the semantic gap between text and visual contents, provide users with a deft hand to turn ideas into visuals via text interface and enable more diversified multimedia applications. However, due to the flexibility of linguistic expressiveness, the mapping from sentences to desired facial images is clearly many-to-many, causing ambiguities during text-to-face generation. To alleviate these ambiguities, we introduce a local-to-global framework with two graph neural networks (one for geometry and the other for appearance) embedded to model the inter-dependency among facial parts. This is based upon our key observation that the geometry and appearance attributes among different facial components are not mutually independent, i.e., the combinations of part-level facial features are not arbitrary and thus do not conform to a uniform distribution. By learning from the dataset distribution and enabling recommendations given partial descriptions of human faces, these networks are highly suitable for our text-to-face task. Our method is capable of generating high-quality attribute-conditioned facial images from text. Extensive experiments have confirmed the superiority and usability of our method over the prior art.
    Language English
    Publishing date 2024-01-02
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2023.3349050
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Unveiling synergy of strain and ligand effects in metallic aerogel for electrocatalytic polyethylene terephthalate upcycling.

    Chen, Junliang / Zhang, Fangzhou / Kuang, Min / Wang, Li / Wang, Huaping / Li, Wei / Yang, Jianping

    Proceedings of the National Academy of Sciences of the United States of America

    2024  Volume 121, Issue 17, Page(s) e2318853121

    Abstract: Recently, there has been a notable surge in interest regarding reclaiming valuable chemicals from waste plastics. However, the energy-intensive conventional thermal catalysis does not align with the concept of sustainable development. Herein, we report a ...

    Abstract Recently, there has been a notable surge in interest regarding reclaiming valuable chemicals from waste plastics. However, the energy-intensive conventional thermal catalysis does not align with the concept of sustainable development. Herein, we report a sustainable electrocatalytic approach allowing the selective synthesis of glycolic acid (GA) from waste polyethylene terephthalate (PET) over a Pd
    Language English
    Publishing date 2024-04-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2318853121
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Removal of Horizontally Impacted Mandibular Third Molars Using the Three-Piece or T-Shaped Tooth Sectioning Method.

    He, Xianyi / Gao, Yichen / Shen, Jie / Pan, Qing / Chen, Junliang / He, Yun

    Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons

    2024  

    Abstract: Background: The extraction of horizontally impacted mandibular third molars (HM3) can be a complicated surgery. Appropriate tooth sectioning methods can reduce the operation time and postoperative complications.: Purpose: The current study compares ... ...

    Abstract Background: The extraction of horizontally impacted mandibular third molars (HM3) can be a complicated surgery. Appropriate tooth sectioning methods can reduce the operation time and postoperative complications.
    Purpose: The current study compares operative time and postoperative pain between HM3 removed using the three-piece or T-shaped tooth sectioning techniques.
    Study design, setting, sample: A randomized single-blind prospective clinical trial on HM3 extraction was carried out between June and December 2022 in the Department of Oral and Maxillofacial Surgery, the Affiliated Stomatological Hospital, Southwest Medical University. Patients with local or systemic infection, poor oral hygiene, and systemic disease were excluded.
    Predictor variable: The predictor variable was the tooth sectioning method. The subjects were randomized to a three-piece or T-shaped group.
    Main outcome variable(s): The primary outcome variables were the operative time and postoperative pain measured using a visual analog scale (VAS). The secondary outcome variables were the rates of primary bleeding, mouth opening reduction, swelling, patient satisfaction measured using a VAS, and quality of life measured using a postoperative symptom severity scale.
    Covariates: The covariates included age, sex, side and classification of HM3, and the relationship of HM3 to the inferior alveolar nerve canal.
    Analyses: The data were analyzed using the independent samples t-test, paired t-test, χ
    Results: The sample included 60 patients in the three-piece group and 66 patients in the T-shaped group. The operative time of the three-piece group (14.73 ± 3.21 minutes) was shorter than that of the T-shaped group (19.25 ± 4.29 minutes) (P < .05). On days 3 and 7, VAS of pain were 2.24 ± 1.89 and 0.15 ± 0.40 in the three-piece group and 3.95 ± 2.44 and 0.48 ± 0.68 in the T-shaped group (P < .05). The VAS of patient satisfaction in the three-piece group (6.05 ± 1.29) was better than the T-shaped group (4.90 ± 1.05) on day 7 (P < .05).
    Conclusion and relevance: The three-piece tooth sectioning for HM3 removal was associated with shorter duration, slighter postoperative symptoms, and higher patient satisfaction and may be considered as a recommended practice for dentists.
    Language English
    Publishing date 2024-04-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 392404-x
    ISSN 1531-5053 ; 0278-2391
    ISSN (online) 1531-5053
    ISSN 0278-2391
    DOI 10.1016/j.joms.2024.03.036
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Highly-expressed lncRNA FOXD2-AS1 in adipose mesenchymal stem cell derived exosomes affects HaCaT cells via regulating miR-185-5p/ROCK2 axis.

    Chang, Huanchao / Chen, Junliang / Ding, Kun / Cheng, Tianling / Tang, Shengjian

    Adipocyte

    2023  Volume 12, Issue 1, Page(s) 2173513

    Abstract: The healing of skin wounds is a highly coordinated multi-step process that occurs after trauma including surgical incisions, thermal burns, and chronic ulcers. In this study, the authors investigated lncRNA FOXD2-AS1 function in adipose mesenchymal ... ...

    Abstract The healing of skin wounds is a highly coordinated multi-step process that occurs after trauma including surgical incisions, thermal burns, and chronic ulcers. In this study, the authors investigated lncRNA FOXD2-AS1 function in adipose mesenchymal exosomes from ADMSCs that were successfully extracted. Highly expressed lncRNA FOXD2-AS1 in ADMSCs-exosomes accelerated HaCaT cell migration and proliferation. LncRNA FOXD2-AS1 negatively targeted miR-185-5p, and miR-185-5p negatively targeted ROCK2. Highly expressed lncRNA FOXD2-AS1 in ADMSCs-exosomes promoted HaCaT cell migration and proliferation via down-regulating miR-185-5p and further up-regulating ROCK2. In conclusion, LncRNA FOXD2-AS1 overexpression in ADMSCs derived exosomes might accelerate HaCaT cell migration and proliferation via modulating the miR-185-5p/ROCK2 axis.
    MeSH term(s) Humans ; Exosomes ; HaCaT Cells ; Mesenchymal Stem Cells ; MicroRNAs/genetics ; RNA, Long Noncoding/genetics ; rho-Associated Kinases
    Chemical Substances MicroRNAs ; RNA, Long Noncoding ; long non-coding RNA FOXD2-AS1, human ; MIRN185 microRNA, human ; ROCK2 protein, human (EC 2.7.11.1) ; rho-Associated Kinases (EC 2.7.11.1)
    Language English
    Publishing date 2023-02-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2681769-X
    ISSN 2162-397X ; 2162-397X
    ISSN (online) 2162-397X
    ISSN 2162-397X
    DOI 10.1080/21623945.2023.2173513
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Identification of a chemoresistance-related prognostic gene signature by comprehensive analysis and experimental validation in pancreatic cancer.

    Chen, Junliang / Liu, Zhihao / Wu, Zhiyuan / Li, Wenjun / Tan, Xiaodong

    Frontiers in oncology

    2023  Volume 13, Page(s) 1132424

    Abstract: Background: Chemoresistance is a major hurdle to improving the prognosis of pancreatic cancer (PC). This study aimed to identify key genes regulating chemoresistance and develop a chemoresistance-related gene signature for prognosis prediction.: ... ...

    Abstract Background: Chemoresistance is a major hurdle to improving the prognosis of pancreatic cancer (PC). This study aimed to identify key genes regulating chemoresistance and develop a chemoresistance-related gene signature for prognosis prediction.
    Methods: A total of 30 PC cell lines were subtyped according to gemcitabine sensitivity data from the Cancer Therapeutics Response Portal (CTRP v2). Differentially expressed genes (DEGs) between gemcitabine-resistant and gemcitabine-sensitive cells were subsequently identified. These upregulated DEGs associated with prognostic values were incorporated to build a LASSO Cox risk model for The Cancer Genome Atlas (TCGA) cohort. Four datasets (GSE28735, GSE62452, GSE85916, and GSE102238) from the Gene Expression Omnibus (GEO) were used as an external validation cohort. Then, a nomogram was developed based on independent prognostic factors. The responses to multiple anti-PC chemotherapeutics were estimated by the "oncoPredict" method. Tumor mutation burden (TMB) was calculated using the "TCGAbiolinks" package. Analysis of the tumor microenvironment (TME) was performed using the "IOBR" package, while the TIDE and "easier" algorithms were employed to estimate immunotherapy efficacy. Finally, RT-qPCR, Western blot and CCK-8 assays were conducted to validate the expression and functions of ALDH3B1 and NCEH1.
    Results: A five-gene signature and a predictive nomogram were developed from six prognostic DEGs, including EGFR, MSLN, ERAP2, ALDH3B1, and NCEH1. Bulk and single-cell RNA sequencing analyses indicated that all five genes were highly expressed in tumor samples. This gene signature was not only an independent prognostic factor but also a biomarker forecasting chemoresistance, TMB, and immune cells.
    Conclusion: This chemoresistance-related gene signature links prognosis with chemoresistance, TMB, and immune features. ALDH3B1 and NCEH1 are two promising targets for treating PC.
    Language English
    Publishing date 2023-05-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2023.1132424
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Breakage and displacement of the high-speed hand-piece bur during impacted mandibular third molar extraction: three cases.

    Li, Kuncai / Xie, Bingqing / Chen, Junliang / He, Yun

    BMC oral health

    2022  Volume 22, Issue 1, Page(s) 222

    Abstract: Background: The high-speed hand-piece bur is one of the methods to perform tooth sectioning during the minimally traumatic extraction of impacted mandibular third molars. During tooth sectioning, the breakage of the bur might take place when it is ... ...

    Abstract Background: The high-speed hand-piece bur is one of the methods to perform tooth sectioning during the minimally traumatic extraction of impacted mandibular third molars. During tooth sectioning, the breakage of the bur might take place when it is improperly used. Three cases of the breakage and displacement of a high-speed hand-piece bur during extraction are reported, aiming to remind dental surgeons of this complication.
    Case presentation: The bur fragment in case 1 was embedded in the mandibular bone under the previously removed crown of tooth 48 and distal to tooth 47. The bur fragment in case 2 was embedded in the lingual edge of the socket and partly beneath the mucosa on the lingual side. The position of the bur fragment in case 3 was similar to that of case 1 but was completely embedded in the spongious bone. The three cases were performed by first-year residents, and all of the bur fragments were successfully removed by attending doctors after accurately locating them by radiological examination.
    Conclusions: In order to avoid breakage of the high-speed hand-piece bur, the number of uses of the bur should be monitored and the integrity and state of the bur should be carefully checked. Moreover, light pressure with little lateral force should be used during tooth sectioning. If bur breakage and displacement occur, the retrieval protocol should be determined based on the imaging findings and conducted as soon as possible to avoid serious consequences.
    MeSH term(s) Humans ; Mandible/surgery ; Molar ; Molar, Third/surgery ; Tooth Extraction/methods ; Tooth, Impacted/surgery
    Language English
    Publishing date 2022-06-06
    Publishing country England
    Document type Case Reports ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2091511-1
    ISSN 1472-6831 ; 1472-6831
    ISSN (online) 1472-6831
    ISSN 1472-6831
    DOI 10.1186/s12903-022-02253-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Noise-Aware Framework for Robust Visual Tracking.

    Li, Shengjie / Zhao, Shuai / Cheng, Bo / Chen, Junliang

    IEEE transactions on cybernetics

    2022  Volume 52, Issue 2, Page(s) 1179–1192

    Abstract: Both siamese network and correlation filter (CF)-based trackers have exhibited superior performance by formulating tracking as a similarity measure problem, where a similarity map is learned by the correlation between a target template and a region of ... ...

    Abstract Both siamese network and correlation filter (CF)-based trackers have exhibited superior performance by formulating tracking as a similarity measure problem, where a similarity map is learned by the correlation between a target template and a region of interest (ROI) with a cosine window. Nevertheless, this window function is usually fixed for various targets and not changed, undergoing significant noise variations during tracking, which easily makes model drift. In this article, we focus on the study of a noise-aware (NA) framework for robust visual tracking. To this end, the impact of various window functions is first investigated in visual tracking. We identify that the low signal-to-noise ratio (SNR) of windowed ROIs makes the above trackers degenerate. At the prediction phase, a novel NA window customized for visual tracking is introduced to improve the SNR of windowed ROIs by adaptively suppressing the variable noise according to the observation of similarity maps. In addition, to further optimize the SNR of windowed pyramid ROIs for scale estimation, we propose to use the particle filter to dynamically sample several windowed ROIs with more favorable signals in temporal domains instead of this pyramid ROIs extracted in spatial domains. Extensive experiments on the popular OTB-2013, OTB-50, OTB-2015, VOT2017, TC128, UAV123, UAV123@10fps, UAV20L, and LaSOT datasets show that our NA framework can be extended to many siamese and CF trackers and our variants obtain superior performance than baseline trackers with a modest impact on efficiency.
    MeSH term(s) Learning ; Psychomotor Performance
    Language English
    Publishing date 2022-02-16
    Publishing country United States
    Document type Journal Article
    ISSN 2168-2275
    ISSN (online) 2168-2275
    DOI 10.1109/TCYB.2020.2996245
    Database MEDical Literature Analysis and Retrieval System OnLINE

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