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  1. AU="Jingbo Chen"
  2. AU="Viazlo, Oleksander"
  3. AU="Toshiki Iwabuchi"
  4. AU="Dissanayake, Lakmali"
  5. AU="Michael Denkinger"
  6. AU="Abilio J. F. N. Sobral"
  7. AU="Geller, Alan"
  8. AU=Petrat Sren
  9. AU="Sterling, Shanique"
  10. AU="Qi, Zeqiang"
  11. AU="Thongstisubskul, A"
  12. AU="Daniel C. Schneider, PhD"
  13. AU="Völker, Christoph"
  14. AU="El Aoud, S"
  15. AU="Yi, Tongpei"
  16. AU="Anil K. Mantha"
  17. AU="Artzner, Christoph"
  18. AU=Diana Giovanni
  19. AU="Kinloch, Sabine"
  20. AU="Nuertey, David"
  21. AU="Ojubolamo, Olakunle"

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  1. Artikel ; Online: Improving the Reaction Kinetics by Annealing MoS 2 /PVP Nanoflowers for Sodium-Ion Storage

    Yuan Li / Lingxing Zan / Jingbo Chen

    Molecules, Vol 28, Iss 2948, p

    2023  Band 2948

    Abstract: Under the ever-growing demand for electrochemical energy storage devices, developing anode materials with low cost and high performance is crucial. This study established a multiscale design of MoS 2 /carbon composites with a hollow nanoflower structure ( ...

    Abstract Under the ever-growing demand for electrochemical energy storage devices, developing anode materials with low cost and high performance is crucial. This study established a multiscale design of MoS 2 /carbon composites with a hollow nanoflower structure (MoS 2 /C NFs) for use in sodium-ion batteries as anode materials. The NF structure consists of several MoS 2 nanosheets embedded with carbon layers, considerably increasing the interlayer distance. Compared with pristine MoS 2 crystals, the carbon matrix and hollow-hierarchical structure of MoS 2 /C exhibit higher electronic conductivity and optimized thermodynamic/kinetic potential for the migration of sodium ions. Hence, the synthesized MoS 2 /C NFs exhibited an excellent capacity of 1300 mA h g −1 after 50 cycles at a current density of 0.1 A g −1 and 630 mA h g −1 at 2 A g −1 and high-capacity retention at large charge/discharge current density (80% after 600 cycles 2 A g −1 ). The suggested approach can be adopted to optimize layered materials by embedding layered carbon matrixes. Such optimized materials can be used as electrodes in sodium-ion batteries, among other electrochemical applications.
    Schlagwörter MoS 2 ; hollow nanoflower structure ; superior conductivity ; anode materials ; sodium-ion batteries ; Organic chemistry ; QD241-441
    Thema/Rubrik (Code) 333
    Sprache Englisch
    Erscheinungsdatum 2023-03-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Retraction

    Junfang Shen / Derong Zhu / Junchao An / Zhiyu Min / Jingbo Chen

    Polymers, Vol 15, Iss 1432, p

    Shen et al. Investigation of the Ordered Structure in Partially Melted Isotactic Polypropylene. Polymers 2021, 13 , 3354

    2023  Band 1432

    Abstract: The published article [.] ...

    Abstract The published article [.]
    Schlagwörter n/a ; Organic chemistry ; QD241-441
    Sprache Englisch
    Erscheinungsdatum 2023-03-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Shape-Constrained Method of Remote Sensing Monitoring of Marine Raft Aquaculture Areas on Multitemporal Synthetic Sentinel-1 Imagery

    Yi Zhang / Chengyi Wang / Jingbo Chen / Futao Wang

    Remote Sensing, Vol 14, Iss 1249, p

    2022  Band 1249

    Abstract: Large-scale and periodic remote sensing monitoring of marine raft aquaculture areas is significant for scientific planning of their layout and for promoting sustainable development of marine ecology. Synthetic aperture radar (SAR) is an important tool ... ...

    Abstract Large-scale and periodic remote sensing monitoring of marine raft aquaculture areas is significant for scientific planning of their layout and for promoting sustainable development of marine ecology. Synthetic aperture radar (SAR) is an important tool for stable monitoring of marine raft aquaculture areas since it is all-weather, all-day, and cloud-penetrating. However, the scattering signal of marine raft aquaculture areas is affected by speckle noise and sea state, so their features in SAR images are complex. Thus, it is challenging to extract marine raft aquaculture areas from SAR images. In this paper, we propose a method to extract marine raft aquaculture areas from Sentinel-1 images based on the analysis of the features for marine raft aquaculture areas. First, the data are preprocessed using multitemporal phase synthesis to weaken the noise interference, enhance the signal of marine raft aquaculture areas, and improve the significance of the characteristics of raft aquaculture areas. Second, the geometric features of the marine raft aquaculture area are combined to design the model structure and introduce the shape constraint module, which adds a priori knowledge to guide the model convergence direction during the training process. Experiments verify that the method outperforms the popular semantic segmentation model with an F 1 of 84.52%.
    Schlagwörter monitoring of mariculture ; SAR ; image synthesis ; semantic segmentation ; Science ; Q
    Thema/Rubrik (Code) 333
    Sprache Englisch
    Erscheinungsdatum 2022-03-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Learning to Adapt Adversarial Perturbation Consistency for Domain Adaptive Semantic Segmentation of Remote Sensing Images

    Zhihao Xi / Yu Meng / Jingbo Chen / Yupeng Deng / Diyou Liu / Yunlong Kong / Anzhi Yue

    Remote Sensing, Vol 15, Iss 23, p

    2023  Band 5498

    Abstract: Semantic segmentation techniques for remote sensing images (RSIs) have been widely developed and applied. However, most segmentation methods depend on sufficiently annotated data for specific scenarios. When a large change occurs in the target scenes, ... ...

    Abstract Semantic segmentation techniques for remote sensing images (RSIs) have been widely developed and applied. However, most segmentation methods depend on sufficiently annotated data for specific scenarios. When a large change occurs in the target scenes, model performance drops significantly. Therefore, unsupervised domain adaptation (UDA) for semantic segmentation is proposed to alleviate the reliance on expensive per-pixel densely labeled data. In this paper, two key issues of existing domain adaptive (DA) methods are considered: (1) the factors that cause data distribution shifts in RSIs may be complex and diverse, and existing DA approaches cannot adaptively optimize for different domain discrepancy scenarios; (2) domain-invariant feature alignment, based on adversarial training (AT), is prone to excessive feature perturbation, leading to over robust models. To address these issues, we propose an AdvCDA method that guides the model to adapt adversarial perturbation consistency. We combine consistency regularization to consider interdomain feature alignment as perturbation information in the feature space, and thus propose a joint AT and self-training (ST) DA method to further promote the generalization performance of the model. Additionally, we propose a confidence estimation mechanism that determines network stream training weights so that the model can adaptively adjust the optimization direction. Extensive experiments have been conducted on Potsdam, Vaihingen, and LoveDA remote sensing datasets, and the results demonstrate that the proposed method can significantly improve the UDA performance in various cross-domain scenarios.
    Schlagwörter unsupervised domain adaptation ; adversarial perturbation consistency ; self-training ; semantic segmentation ; remote sensing ; Science ; Q
    Thema/Rubrik (Code) 004
    Sprache Englisch
    Erscheinungsdatum 2023-11-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: Multi-attribute self-attention guided vehicle local region detection based on convolutional neural network architecture

    Jingbo Chen / Shengyong Chen / Linjie Bian

    International Journal of Advanced Robotic Systems, Vol

    2020  Band 17

    Abstract: Many pieces of information are included in the front region of a vehicle, especially in windshield and bumper regions. Thus, windshield or bumper region detection is making sense to extract useful information. But the existing windshield and bumper ... ...

    Abstract Many pieces of information are included in the front region of a vehicle, especially in windshield and bumper regions. Thus, windshield or bumper region detection is making sense to extract useful information. But the existing windshield and bumper detection methods based on traditional artificial features are not robust enough. Those features may become invalid in many real situations (e.g. occlude, illumination change, viewpoint change.). In this article, we propose a multi-attribute-guided vehicle discriminately region detection method based on convolutional neural network and not rely on bounding box regression. We separate the net into two branches, respectively, for identification (ID) and Model attributes training. Therefore, the feature spaces of different attributes become more independent. Additionally, we embed a self-attention block into our framework to improve the performance of local region detection. We train our model on PKU_VD data set which has a huge number of images inside. Furthermore, we labeled the handcrafted bounding boxes on 5000 randomly picked testing images, and 1020 of them are used for evaluation and 3980 as the training data for YOLOv3 . We use Intersection over Union for quantitative evaluation. Experiments were conducted in three different latest convolutional neural network trunks to illustrate the detection performance of the proposed method. Simultaneously, in terms of quantitative evaluation, the performance of our method is close to YOLOv3 even without handcrafted bounding boxes.
    Schlagwörter Electronics ; TK7800-8360 ; Electronic computers. Computer science ; QA75.5-76.95
    Thema/Rubrik (Code) 006
    Sprache Englisch
    Erscheinungsdatum 2020-08-01T00:00:00Z
    Verlag SAGE Publishing
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel ; Online: Investigation of the Ordered Structure in Partially Melted Isotactic Polypropylene

    Junfang Shen / Derong Zhu / Junchao An / Zhiyu Min / Jingbo Chen

    Polymers, Vol 13, Iss 3354, p

    2021  Band 3354

    Abstract: The ordered structure of partially melted isotactic polypropylene (iPP) was investigated using polarized optical microscopy (POM) and small-/wide-angle X-ray scattering (SAXS/WAXS) measurements. The crystalline morphology was first examined by means of ... ...

    Abstract The ordered structure of partially melted isotactic polypropylene (iPP) was investigated using polarized optical microscopy (POM) and small-/wide-angle X-ray scattering (SAXS/WAXS) measurements. The crystalline morphology was first examined by means of pulling a glass fiber through the iPP melt, which was generated by partially melting a preformed spherulite. The results from the POM experiments indicated that, even at a minimal pulling rate, the surviving ordered structure could also relocate along the direction of fiber pulling and grow into cylindrites eventually. In addition, during the quiescent crystallization from the partially melted sample, which had the same thermal history of fiber-pulling experiments, the obvious memory effect of melt was also observed from the results of X-ray experiments. Moreover, the SAXS profile derived from the partially melted iPP at 170 °C was fitted by the theory of scattering amplitude with the cylindrical form factor. The fit result implied that the surviving ordered structure is of cylindrical nanocrystals with a diameter D ≈ 30 ± 3 nm and height h ≈ 45 ± 3 nm, which can significantly influence the crystallization morphology and kinetics during the subsequent crystallization process.
    Schlagwörter ordered structure ; partial melting ; isotactic polypropylene ; crystallization ; Organic chemistry ; QD241-441
    Thema/Rubrik (Code) 660
    Sprache Englisch
    Erscheinungsdatum 2021-09-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel ; Online: Gut Microbiota Dysbiosis Ameliorates in LNK-Deficient Mouse Models with Obesity-Induced Insulin Resistance Improvement

    Jingbo Chen / Jiawen Xu / Yan Sun / Yuhuan Xue / Yang Zhao / Dongzi Yang / Shuijie Li / Xiaomiao Zhao

    Journal of Clinical Medicine, Vol 12, Iss 1767, p

    2023  Band 1767

    Abstract: Purpose: To investigate the potential role of gut microbiota in obesity-induced insulin resistance (IR). Methods: Four-week-old male C57BL/6 wild-type mice ( n = 6) and whole-body SH2 domain-containing adaptor protein (LNK)-deficient in C57BL/6 genetic ... ...

    Abstract Purpose: To investigate the potential role of gut microbiota in obesity-induced insulin resistance (IR). Methods: Four-week-old male C57BL/6 wild-type mice ( n = 6) and whole-body SH2 domain-containing adaptor protein (LNK)-deficient in C57BL/6 genetic backgrounds mice ( n = 7) were fed with a high-fat diet (HFD, 60% calories from fat) for 16 weeks. The gut microbiota of 13 mice feces samples was analyzed by using a 16 s rRNA sequencing analysis. Results: The structure and composition of the gut microbiota community of WT mice were significantly different from those in the LNK-/- group. The abundance of the lipopolysaccharide (LPS)-producing genus Proteobacteria was increased in WT mice, while some short-chain fatty acid (SCFA)-producing genera in WT groups were significantly lower than in LNK-/- groups ( p < 0.05). Conclusions: The structure and composition of the intestinal microbiota community of obese WT mice were significantly different from those in the LNK-/- group. The abnormality of the gut microbial structure and composition might interfere with glucolipid metabolism and exacerbate obesity-induced IR by increasing LPS-producing genera while reducing SCFA-producing probiotics.
    Schlagwörter gut microbiota ; LNK deficiency ; obesity ; insulin resistance ; Medicine ; R
    Thema/Rubrik (Code) 630
    Sprache Englisch
    Erscheinungsdatum 2023-02-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Artikel ; Online: Lightweight ZnO/Carbonated Cotton Fiber Nanocomposites for Electromagnetic Interference Applications

    Muhammad Waseem / Yuxiang Xie / Kesong Yu / Xiling Zhou / Yingchun Cai / Xiaoli Zhang / Baochen Liu / Jingbo Chen

    Polymers, Vol 16, Iss 1, p

    Preparation and Properties

    2023  Band 116

    Abstract: Electromagnetic wave pollution has become a significant harm posed to human health and precision instruments. To shelter such instruments from electromagnetic radiation, high-frequency electromagnetic interference (EMI) shielding materials are extremely ... ...

    Abstract Electromagnetic wave pollution has become a significant harm posed to human health and precision instruments. To shelter such instruments from electromagnetic radiation, high-frequency electromagnetic interference (EMI) shielding materials are extremely desirable. The focus of this research is lightweight, high-absorption EMI shielding composites. Simple aqueous dispersion and drying procedures were used to prepare cotton fiber (CF)-based sheets combined with various zinc oxide (ZnO) contents. These composites were carbonated in a high-temperature furnace at 800 °C for two hours. The obtained CF/ZnO samples have densities of 1.02–1.08 g/cm 3 . The EMI shielding effectiveness of CF-30% ZnO, CF-50% ZnO, and CF-70% ZnO reached 32.06, 38.08, and 34.69 dB, respectively, to which more than 80% of absorption is attributed. The synergetic effects of carbon networks and surface structures are responsible for the high EMI shielding performance; various reflections inside the interconnected networks may also help in improving their EMI shielding performance.
    Schlagwörter cotton fiber ; zinc oxide ; carbonation ; electromagnetic interference shielding ; composites ; Organic chemistry ; QD241-441
    Thema/Rubrik (Code) 620
    Sprache Englisch
    Erscheinungsdatum 2023-12-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Detection of Ground Materials Using Normalized Difference Indices with a Threshold

    Fen Chen / Tim Van de Voorde / Dar Roberts / Haojie Zhao / Jingbo Chen

    Remote Sensing, Vol 13, Iss 3, p

    Risk and Ways to Improve

    2021  Band 450

    Abstract: In this short communication, we describe the shortcomings and pitfalls of a commonly used method to detect ground materials that relies on setting thresholds for normalized difference indices. We analyze this method critically and present some ... ...

    Abstract In this short communication, we describe the shortcomings and pitfalls of a commonly used method to detect ground materials that relies on setting thresholds for normalized difference indices. We analyze this method critically and present some experimental results on the USGS and ECOSTRESS spectral libraries and on real Sentinel-2 and Landsat-8 images. We demonstrate the risk of commission errors and provide some suggestions to reduce it.
    Schlagwörter normalized difference vegetation index ; normalized difference water index ; normalized difference soil index ; Science ; Q
    Sprache Englisch
    Erscheinungsdatum 2021-01-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Artikel ; Online: A noninvasive and comprehensive method for continuous assessment of cerebral blood flow pulsation based on magnetic induction phase shift

    Lingxi Zeng / Gen Li / Maoting Zhang / Rui Zhu / Jingbo Chen / Mingyan Li / Shengtong Yin / Zelin Bai / Wei Zhuang / Jian Sun

    PeerJ, Vol 10, p e

    2022  Band 13002

    Abstract: Cerebral blood flow (CBF) monitoring is of great significance for treating and preventing strokes. However, there has not been a fully accepted method targeting continuous assessment in clinical practice. In this work, we built a noninvasive continuous ... ...

    Abstract Cerebral blood flow (CBF) monitoring is of great significance for treating and preventing strokes. However, there has not been a fully accepted method targeting continuous assessment in clinical practice. In this work, we built a noninvasive continuous assessment system for cerebral blood flow pulsation (CBFP) that is based on magnetic induction phase shift (MIPS) technology and designed a physical model of the middle cerebral artery (MCA). Physical experiments were carried out through different simulations of CBF states. Four healthy volunteers were enrolled to perform the MIPS and ECG synchronously monitoring trials. Then, the components of MIPS related to the blood supply level and CBFP were investigated by signal analysis in time and frequency domain, wavelet decomposition and band-pass filtering. The results show that the time-domain baseline of MIPS increases with blood supply level. A pulse signal was identified in the spectrum (0.2–2 Hz in 200–2,000 ml/h groups, respectively) of MIPS when the simulated blood flow rate was not zero. The pulsation frequency with different simulated blood flow rates is the same as the squeezing frequency of the feeding pump. Similar to pulse waves, the MIPS signals on four healthy volunteers all had periodic change trends with obvious peaks and valleys. Its frequency is close to that of the ECG signal and there is a certain time delay between them. These results indicate that the CBFP component can effectively be extracted from MIPS, through which different blood supply levels can be distinguished. This method has the potential to become a new solution for non-invasive and comprehensive monitoring of CBFP.
    Schlagwörter Strokes ; Noninvasive continuous assessment ; Cerebral blood flow ; Magnetic induction phase shift ; Medicine ; R
    Thema/Rubrik (Code) 610
    Sprache Englisch
    Erscheinungsdatum 2022-02-01T00:00:00Z
    Verlag PeerJ Inc.
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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