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  1. Article ; Online: Real-Time

    Wang, Zhenyu / Zheng, Zhenfa / Zheng, Qijing / Zhao, Jin

    The journal of physical chemistry letters

    2024  Volume 15, Issue 14, Page(s) 3907–3913

    Abstract: The relaxation of hot electrons in semiconductors is pivotal for both energy harvesting processes and optoelectronics. Utilizing a self-developed non-adiabatic molecular dynamics simulation approach in the momentum space ( ... ...

    Abstract The relaxation of hot electrons in semiconductors is pivotal for both energy harvesting processes and optoelectronics. Utilizing a self-developed non-adiabatic molecular dynamics simulation approach in the momentum space (NAMD_
    Language English
    Publishing date 2024-04-02
    Publishing country United States
    Document type Journal Article
    ISSN 1948-7185
    ISSN (online) 1948-7185
    DOI 10.1021/acs.jpclett.4c00591
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Advancing Energy Storage and Catalysis with Novel Nanomaterials.

    Yang, Zhenyu / Zhao, Jinsheng

    Materials (Basel, Switzerland)

    2023  Volume 16, Issue 19

    Abstract: In the dynamic realm of materials science, novel nanomaterials possess the transformative potential to reshape various industries, ranging from energy storage to catalysis [ ... ]. ...

    Abstract In the dynamic realm of materials science, novel nanomaterials possess the transformative potential to reshape various industries, ranging from energy storage to catalysis [...].
    Language English
    Publishing date 2023-09-27
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma16196425
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Numerical simulation of laser-produced plasma expansion on a droplet surface.

    Zhao, Zhenyu / Li, Weizhong

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 4085

    Abstract: In this study, a numerical model of the plasma expansion on a droplet surface based on the initial plasma method was proposed. The initial plasma was obtained through the pressure inlet boundary condition, and the effect of ambient pressure on the ... ...

    Abstract In this study, a numerical model of the plasma expansion on a droplet surface based on the initial plasma method was proposed. The initial plasma was obtained through the pressure inlet boundary condition, and the effect of ambient pressure on the initial plasma and adiabatic expansion of the plasma on the droplet surface, including the effect on the velocity and temperature distribution, were investigated. The simulation results showed that the ambient pressure decreased, leading to an increase in the expansion rate and temperature, and therefore a larger plasma size was formed. Plasma expansion creates a backward driving force and eventually envelops the entire droplet, indicating a significant difference compared to planar targets.
    Language English
    Publishing date 2023-03-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-31069-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Enhanced hydrodechlorination of 4-chlorophenol through carboxymethylcellulose-modified Pd/Fe nanosuspension synthesized by one-step methods.

    Qiao, Juan / Zhao, Zhenyu / Zhou, Zhengwei / Wu, Deli

    Chemosphere

    2024  Volume 356, Page(s) 141857

    Abstract: Palladized iron (Pd/Fe) represents one of the most common modification strategies for nanoscale zero-valent iron (nZVI). Most studies prepared Pd/Fe by reducing iron salts and depositing Pd species on the surface of pre-synthesized nZVI, which can be ... ...

    Abstract Palladized iron (Pd/Fe) represents one of the most common modification strategies for nanoscale zero-valent iron (nZVI). Most studies prepared Pd/Fe by reducing iron salts and depositing Pd species on the surface of pre-synthesized nZVI, which can be called the two-step method. In this study, we proposed a one-step method to obtain Pd/Fe by the concurrent formation of Fe
    MeSH term(s) Chlorophenols/chemistry ; Carboxymethylcellulose Sodium/chemistry ; Iron/chemistry ; Palladium/chemistry ; Water Pollutants, Chemical/chemistry ; Halogenation ; Adsorption ; Metal Nanoparticles/chemistry ; Suspensions
    Chemical Substances Chlorophenols ; Carboxymethylcellulose Sodium (K679OBS311) ; Iron (E1UOL152H7) ; 4-chlorophenol (3DLC36A01X) ; Palladium (5TWQ1V240M) ; Water Pollutants, Chemical ; Suspensions
    Language English
    Publishing date 2024-04-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 120089-6
    ISSN 1879-1298 ; 0045-6535 ; 0366-7111
    ISSN (online) 1879-1298
    ISSN 0045-6535 ; 0366-7111
    DOI 10.1016/j.chemosphere.2024.141857
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Editorial: Application of data mining in pharmaceutical research.

    Bu, Qingting / Lyu, Jun / Zhao, Limei / Cao, Shiyi / Jia, Deyong / Pan, Zhenyu

    Frontiers in pharmacology

    2024  Volume 15, Page(s) 1388738

    Language English
    Publishing date 2024-03-01
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2024.1388738
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Study on Laser Polishing of Ti

    Huang, Shuo / Zeng, Junyong / Wang, Wenqi / Zhao, Zhenyu

    Micromachines

    2024  Volume 15, Issue 3

    Abstract: Laser-based additive manufacturing has garnered significant attention in recent years as a promising 3D-printing method for fabricating metallic components. However, the surface roughness of additive manufactured components has been considered a ... ...

    Abstract Laser-based additive manufacturing has garnered significant attention in recent years as a promising 3D-printing method for fabricating metallic components. However, the surface roughness of additive manufactured components has been considered a challenge to achieving high performance. At present, the average surface roughness (Sa) of AM parts can reach high levels, greater than 50 μm, and a maximum distance between the high peaks and the low valleys of more than 300 μm, which requires post machining. Therefore, laser polishing is increasingly being utilized as a method of surface treatment for metal alloys, wherein the rapid remelting and resolidification during the process significantly alter both the surface quality and subsurface material properties. In this paper, the surface roughness, microstructures, microhardness, and wear resistance of the as-received, continuous wave laser polishing (CWLP), and pulsed laser polishing (PLP) processed samples were investigated systematically. The results revealed that the surface roughness (Sa) of the as-received sample was 6.29 μm, which was reduced to 0.94 μm and 0.84 μm by CWLP and PLP processing, respectively. It was also found that a hardened layer, about 200 μm, was produced on the Ti
    Language English
    Publishing date 2024-02-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2620864-7
    ISSN 2072-666X
    ISSN 2072-666X
    DOI 10.3390/mi15030336
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: In silico study on graphene quantum dots modified with various functional groups inhibiting α‑synuclein dimerization.

    Wu, Xiaoxiao / Wang, Gang / Zhao, Ziqian / Qian, Zhenyu

    Journal of colloid and interface science

    2024  

    Abstract: Hypothesis: Graphene quantum dots (GQDs) with various functional groups are hypothesized to inhibit the α-synuclein (αS) dimerization, a crucial step in Parkinson's disease pathogenesis. The potential of differently functionalized GQDs is systematically ...

    Abstract Hypothesis: Graphene quantum dots (GQDs) with various functional groups are hypothesized to inhibit the α-synuclein (αS) dimerization, a crucial step in Parkinson's disease pathogenesis. The potential of differently functionalized GQDs is systematically explored.
    Experiments: All-atom replica-exchange molecular dynamics simulations (accumulating to 75.6 μs) in explicit water were performed to study the dimerization of the αS non-amyloid component region and the influence of GQDs modified with various functional groups. Conformation ensemble, binding behavior, and free energy analysis were conducted.
    Findings: All studied GQDs inhibit β-sheet and backbone hydrogen bond formation in αS dimers, leading to looser oligomeric conformations. Charged GQDs severely impede the growth of extended β-sheets by providing extra contact surface. GQD binding primarily disrupts αS inter-peptide interactions through π-π stacking, CH-π interactions, and for charged GQDs, additionally through salt-bridge and hydrogen bonding interactions. GQD-COO
    Language English
    Publishing date 2024-04-16
    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.2024.04.111
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Surface and underwater human pose recognition based on temporal 3D point cloud deep learning

    Haijian Wang / Zhenyu Wu / Xuemei Zhao

    Scientific Reports, Vol 14, Iss 1, Pp 1-

    2024  Volume 15

    Abstract: Abstract Airborne surface and underwater human pose recognition are crucial for various safety and surveillance applications, including the detection of individuals in distress or drowning situations. However, airborne optical cameras struggle to achieve ...

    Abstract Abstract Airborne surface and underwater human pose recognition are crucial for various safety and surveillance applications, including the detection of individuals in distress or drowning situations. However, airborne optical cameras struggle to achieve simultaneous imaging of the surface and underwater because of limitations imposed by visible-light wavelengths. To address this problem, this study proposes the use of light detection and ranging (LiDAR) to simultaneously detect humans on the surface and underwater, whereby human poses are recognized using a neural network designed for irregular data. First, a temporal point-cloud dataset was constructed for surface and underwater human pose recognition to enhance the recognition of comparable movements. Subsequently, radius outlier removal (ROR) and statistical outlier removal (SOR) were employed to alleviate the impact of noise and outliers in the constructed dataset. Finally, different combinations of secondary sampling methods and sample sizes were tested to improve recognition accuracy using PointNet++. The experimental results show that the highest recognition accuracy reached 97.5012%, demonstrating the effectiveness of the proposed human pose detection and recognition method.
    Keywords Medicine ; R ; Science ; Q
    Subject code 004
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: The application of sandwich theory in right hemicolectomy-a video vignette.

    Li, Changzheng / Li, Zhenyu / Zhang, Xijie / Zhao, Yuzhou

    Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland

    2023  Volume 25, Issue 6, Page(s) 1298–1300

    MeSH term(s) Humans ; Colectomy ; Colonic Neoplasms/surgery ; Laparoscopy
    Language English
    Publishing date 2023-02-14
    Publishing country England
    Document type Video-Audio Media ; Journal Article
    ZDB-ID 1440017-0
    ISSN 1463-1318 ; 1462-8910
    ISSN (online) 1463-1318
    ISSN 1462-8910
    DOI 10.1111/codi.16497
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Surface and underwater human pose recognition based on temporal 3D point cloud deep learning.

    Wang, Haijian / Wu, Zhenyu / Zhao, Xuemei

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 55

    Abstract: Airborne surface and underwater human pose recognition are crucial for various safety and surveillance applications, including the detection of individuals in distress or drowning situations. However, airborne optical cameras struggle to achieve ... ...

    Abstract Airborne surface and underwater human pose recognition are crucial for various safety and surveillance applications, including the detection of individuals in distress or drowning situations. However, airborne optical cameras struggle to achieve simultaneous imaging of the surface and underwater because of limitations imposed by visible-light wavelengths. To address this problem, this study proposes the use of light detection and ranging (LiDAR) to simultaneously detect humans on the surface and underwater, whereby human poses are recognized using a neural network designed for irregular data. First, a temporal point-cloud dataset was constructed for surface and underwater human pose recognition to enhance the recognition of comparable movements. Subsequently, radius outlier removal (ROR) and statistical outlier removal (SOR) were employed to alleviate the impact of noise and outliers in the constructed dataset. Finally, different combinations of secondary sampling methods and sample sizes were tested to improve recognition accuracy using PointNet++. The experimental results show that the highest recognition accuracy reached 97.5012%, demonstrating the effectiveness of the proposed human pose detection and recognition method.
    MeSH term(s) Humans ; Deep Learning ; Drowning ; Light ; Movement ; Neural Networks, Computer
    Language English
    Publishing date 2024-01-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-50658-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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