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  1. Article ; Online: CH

    Meng, Fanxing / Chen, Quanwang / Zheng, Bingbing / Ren, Xiaohan

    ACS omega

    2024  Volume 9, Issue 13, Page(s) 14997–15014

    Abstract: Ammonia is considered to play an important role in replacing traditional fossil fuels in future energy systems. In the experimental study, ... ...

    Abstract Ammonia is considered to play an important role in replacing traditional fossil fuels in future energy systems. In the experimental study, CH
    Language English
    Publishing date 2024-03-23
    Publishing country United States
    Document type Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.3c09073
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The role of sialidases in the pathogenesis of bacterial vaginosis and their use as a promising pharmacological target in bacterial vaginosis.

    Chen, Liuyan / Li, Jiayue / Xiao, Bingbing

    Frontiers in cellular and infection microbiology

    2024  Volume 14, Page(s) 1367233

    Abstract: Bacterial vaginosis (BV) is an infection of the genital tract characterized by disturbance of the ... ...

    Abstract Bacterial vaginosis (BV) is an infection of the genital tract characterized by disturbance of the normally
    MeSH term(s) Female ; Humans ; Vaginosis, Bacterial/drug therapy ; Vaginosis, Bacterial/microbiology ; Neuraminidase/chemistry ; N-Acetylneuraminic Acid ; Gardnerella vaginalis ; Vagina/microbiology
    Chemical Substances Neuraminidase (EC 3.2.1.18) ; N-Acetylneuraminic Acid (GZP2782OP0)
    Language English
    Publishing date 2024-03-01
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2619676-1
    ISSN 2235-2988 ; 2235-2988
    ISSN (online) 2235-2988
    ISSN 2235-2988
    DOI 10.3389/fcimb.2024.1367233
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Porous layered ZnV

    Dai, Bingbing / Shen, Xixun / Chen, Tiantian / Li, Jian / Xu, Qunjie

    Dalton transactions (Cambridge, England : 2003)

    2024  

    Abstract: Vanadium-based oxides are considered potential cathode materials for aqueous zinc ion batteries (AZIBs) due to their distinctive layered (or tunnel) structure suitable for zinc ion storage. However, the structural instability and sluggish kinetics of ... ...

    Abstract Vanadium-based oxides are considered potential cathode materials for aqueous zinc ion batteries (AZIBs) due to their distinctive layered (or tunnel) structure suitable for zinc ion storage. However, the structural instability and sluggish kinetics of vanadium-based oxides have limited their capacity and cycling stability for large-scale applications. To overcome these shortcomings, here a porous vanadium-based oxide doped with zinc ions and carbon with the molecular formula ZnV
    Language English
    Publishing date 2024-04-26
    Publishing country England
    Document type Journal Article
    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/d4dt01062k
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Ultrastrong and Reusable Solar‒Thermal‒Electric Generators by Economical Starch Vitrimers.

    Gao, Bingbing / Ku, Hang / Chen, Yukun / Zhang, Shuidong

    Small (Weinheim an der Bergstrasse, Germany)

    2024  , Page(s) e2401706

    Abstract: In frigid regions, it is imperative to possess functionality materials that are ultrastrong, reusable, and economical, providing self-generated heat and electricity. One promising solution is a solar‒thermal‒electric (STE) generator, composed of solar‒ ... ...

    Abstract In frigid regions, it is imperative to possess functionality materials that are ultrastrong, reusable, and economical, providing self-generated heat and electricity. One promising solution is a solar‒thermal‒electric (STE) generator, composed of solar‒thermal conversion phase change composites (PCCs) and temperature-difference power-generation-sheets. However, the existing PCCs face challenges with conflicting requirements for solar‒thermal conversion efficiency and mechanical robustness, mainly due to monotonous functionalized aerogel framework. Herein, a novel starch vitrimer aerogel is proposed that incorporates orientational distributed carboxylated carbon nanotubes (CCNT) to create PCC. This innovative design integrates large through-holes, mechanical robustness, and superior solar‒thermal conversion. Remarkably, PCC with only 0.8 wt.% CCNT loading achieves 85.8 MPa compressive strength, 102.4 °C at 200 mW cm
    Language English
    Publishing date 2024-04-11
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2168935-0
    ISSN 1613-6829 ; 1613-6810
    ISSN (online) 1613-6829
    ISSN 1613-6810
    DOI 10.1002/smll.202401706
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  5. Article: Combined role of molybdenum and nitrogen in Limiting corrosion and pitting of super austenitic stainless steel.

    Li, Bingbing / Lang, Yuping / Chen, Haitao / Feng, Hanqiu / Qu, Huapeng / Sun, Xu / Tian, Zhiling

    Heliyon

    2024  Volume 10, Issue 4, Page(s) e25964

    Abstract: The molybdenum and nitrogen content of super austenitic stainless steel in ... ...

    Abstract The molybdenum and nitrogen content of super austenitic stainless steel in Cl
    Language English
    Publishing date 2024-02-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e25964
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  6. Article ; Online: A study on the dynamic impact of carbon emission trading on green and high-quality development.

    Yang, Qinghao / Zhang, Bingbing / Yan, Zhijun / Chen, Tingqiang

    Environmental science and pollution research international

    2024  Volume 31, Issue 15, Page(s) 23037–23054

    Abstract: As a pivotal element in market mechanisms, carbon trading is increasingly recognized as crucial for achieving China's Carbon Peaking and Carbon Neutrality Goals. This study introduces a comprehensive dynamic model, integrating carbon trading, emissions, ... ...

    Abstract As a pivotal element in market mechanisms, carbon trading is increasingly recognized as crucial for achieving China's Carbon Peaking and Carbon Neutrality Goals. This study introduces a comprehensive dynamic model, integrating carbon trading, emissions, economic growth, and green technology innovation, to offer a holistic understanding of the interplay between these domains. Utilizing principles from nonlinear dynamics and chaos theory, the model is adept at simulating various scenarios and assessing the effectiveness of government policies in stabilizing these complex systems. In-depth analysis provided by this research sheds light on the nuanced impact of carbon trading policies on sustainable development. Key findings highlight (1) Carbon trading's essential role as a catalyst in propelling sustainable and high-quality growth. (2) A strong positive relationship is observed between the sophistication of the carbon trading mechanism and its effectiveness in stimulating green technology innovation and fostering high-quality green development. Notably, carbon trading's influence on green technology innovation markedly enhances the efficacy of carbon emission reduction strategies. (3) Government regulations are instrumental in augmenting carbon prices, thus incentivizing increased corporate participation in emission reduction and enhancing the overall impact of carbon emission reduction. Nevertheless, the study identifies a critical threshold in regulatory intensity, beyond which there is a risk of system destabilization (
    MeSH term(s) Carbon ; Economic Development ; Government ; Government Regulation ; Nonlinear Dynamics ; China
    Chemical Substances Carbon (7440-44-0)
    Language English
    Publishing date 2024-02-28
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-024-32584-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 5915: Show issues

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  7. Article ; Online: Layered porous Mn

    Chen, Tiantian / Shen, Xixun / Dai, Bingbing / Xu, Qunjie

    Dalton transactions (Cambridge, England : 2003)

    2023  Volume 52, Issue 38, Page(s) 13797–13807

    Abstract: At present, vanadium-based cathodes for aqueous zinc-ion batteries (AZIBs) are limited by their slow reaction kinetics, poor electrical conductivity, and low capacity retention. To overcome these problems, here, we design a layered porous ... ...

    Abstract At present, vanadium-based cathodes for aqueous zinc-ion batteries (AZIBs) are limited by their slow reaction kinetics, poor electrical conductivity, and low capacity retention. To overcome these problems, here, we design a layered porous Mn
    Language English
    Publishing date 2023-10-03
    Publishing country England
    Document type Journal Article
    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/d3dt02152a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Re-sintering induced ionic conductivity recovery for air-exposed Li

    Chen, Jie / Chen, Hannan / Tian, Bingbing

    Chemical communications (Cambridge, England)

    2023  Volume 59, Issue 87, Page(s) 13018–13021

    Abstract: One of the most common problems with sulfide solid-state electrolytes is weak water stability. We report a re-sintering method to recover the ionic conductivity of argyrodite ... ...

    Abstract One of the most common problems with sulfide solid-state electrolytes is weak water stability. We report a re-sintering method to recover the ionic conductivity of argyrodite Li
    Language English
    Publishing date 2023-10-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472881-3
    ISSN 1364-548X ; 1359-7345 ; 0009-241X
    ISSN (online) 1364-548X
    ISSN 1359-7345 ; 0009-241X
    DOI 10.1039/d3cc04133f
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: An Efficient CS-Based Spectral Peak Search Method.

    Chen, Bingbing / Sun, Yufa

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 18

    Abstract: Spectral peak search is an essential part of the frequency domain parametric method. In this paper, a spectral peak search algorithm employing the principle of compressed sensing (CS) is proposed to rapidly estimate the spectral peaks. The algorithm ... ...

    Abstract Spectral peak search is an essential part of the frequency domain parametric method. In this paper, a spectral peak search algorithm employing the principle of compressed sensing (CS) is proposed to rapidly estimate the spectral peaks. The algorithm adopts fast Fourier transform (FFT) with a few points to obtain the coarsely estimated spectral peak positions, and then only three small-scale inner products are iteratively calculated by increasing the input sequence length to rapidly refine the estimated positions. Compared with the conventional methods, this algorithm can directly capture the exact locations of spectral peaks without acquiring the entire spectrum. In addition, the proposed algorithm can be easily integrated into the existing frequency domain interpolation methods to accurately determine the spectral peak positions, and if so, only 30% of inner product operations of the original algorithms are required. Theoretical analysis and numerical results show that this algorithm yields accurate results with low complexity for analyzing both one-dimensional and two-dimensional signals.
    Language English
    Publishing date 2022-09-16
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s22187025
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  10. Article ; Online: Real-Time Structure Generation Based on Data-Driven Using Machine Learning

    Ying Wang / Feifei Shi / Bingbing Chen

    Processes, Vol 11, Iss 802, p

    2023  Volume 802

    Abstract: Topology optimization results are highly dependent on the given design constraints and boundary conditions. Moreover, small changes in initial design conditions can result in different topological configurations, which makes topology optimization time- ... ...

    Abstract Topology optimization results are highly dependent on the given design constraints and boundary conditions. Moreover, small changes in initial design conditions can result in different topological configurations, which makes topology optimization time-consuming in a given design constraint domain and inefficient in structural design. To address this problem, a data-driven real-time topology optimization framework and method coupled with machine learning by using a principal component analysis algorithm combined with a feedforward neural network are developed in this paper. Meanwhile, through the offline training, the mapping relationship between initial design conditions and topology optimization results is obtained. From this mapping, we estimate the optimal topologies for novel loading configurations. Numerical examples display that the online prediction results are consistent with the results of the topology optimization method. Furthermore, the network parameters are calibrated, and accurate structure prediction is achieved based on the algorithm. In addition, this method ensures the accuracy of high-resolution structural prediction on the premise of small samples.
    Keywords structure optimization ; topology design ; machine learning ; data dimension reduction ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
    Subject code 006
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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