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  1. Article ; Online: Plasmonic silver and gold nanoparticles: shape- and structure-modulated plasmonic functionality for point-of-caring sensing, bio-imaging and medical therapy.

    Hang, Yingjie / Wang, Anyang / Wu, Nianqiang

    Chemical Society reviews

    2024  Volume 53, Issue 6, Page(s) 2932–2971

    Abstract: Silver and gold nanoparticles have found extensive biomedical applications due to their strong localized surface plasmon resonance (LSPR) and intriguing plasmonic properties. This review article focuses on the correlation among particle geometry, plasmon ...

    Abstract Silver and gold nanoparticles have found extensive biomedical applications due to their strong localized surface plasmon resonance (LSPR) and intriguing plasmonic properties. This review article focuses on the correlation among particle geometry, plasmon properties and biomedical applications. It discusses how particle shape and size are tailored
    MeSH term(s) Gold/chemistry ; Silver/chemistry ; Metal Nanoparticles/chemistry ; Surface Plasmon Resonance/methods ; Spectrum Analysis, Raman/methods
    Chemical Substances Gold (7440-57-5) ; Silver (3M4G523W1G)
    Language English
    Publishing date 2024-03-18
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1472875-8
    ISSN 1460-4744 ; 0306-0012
    ISSN (online) 1460-4744
    ISSN 0306-0012
    DOI 10.1039/d3cs00793f
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: TCF21

    Wang, Jian-Guo / Jin, Xia-Fang / Huang, Yi-Min / Xu, Zheng-Fen / Huang, Shou-Ju / Zhu, Yingjie / Ai, Ling / Hang, Tian

    Biomarkers in medicine

    2024  Volume 17, Issue 17, Page(s) 693–699

    Abstract: Aims: ...

    Abstract Aims:
    MeSH term(s) Humans ; Case-Control Studies ; Genotype ; Polymorphism, Single Nucleotide ; Colorectal Neoplasms/genetics ; China ; Basic Helix-Loop-Helix Transcription Factors/genetics
    Chemical Substances TCF21 protein, human ; Basic Helix-Loop-Helix Transcription Factors
    Language English
    Publishing date 2024-01-10
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2481014-9
    ISSN 1752-0371 ; 1752-0363
    ISSN (online) 1752-0371
    ISSN 1752-0363
    DOI 10.2217/bmm-2022-0750
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Visible-light and near-infrared fluorescence and surface-enhanced Raman scattering point-of-care sensing and bio-imaging: a review.

    Hang, Yingjie / Boryczka, Jennifer / Wu, Nianqiang

    Chemical Society reviews

    2022  Volume 51, Issue 1, Page(s) 329–375

    Abstract: This review article deals with the concepts, principles and applications of visible-light and near-infrared (NIR) fluorescence and surface-enhanced Raman scattering (SERS) ... ...

    Abstract This review article deals with the concepts, principles and applications of visible-light and near-infrared (NIR) fluorescence and surface-enhanced Raman scattering (SERS) in
    MeSH term(s) COVID-19 ; Humans ; Nucleic Acids ; Point-of-Care Systems ; SARS-CoV-2 ; Spectrum Analysis, Raman
    Chemical Substances Nucleic Acids
    Language English
    Publishing date 2022-01-04
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1472875-8
    ISSN 1460-4744 ; 0306-0012
    ISSN (online) 1460-4744
    ISSN 0306-0012
    DOI 10.1039/c9cs00621d
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Energy Evolution Law of Sandstone Material during Post-Peak Cyclic Loading and Unloading under Hydraulic Coupling

    Yingjie Zhang / Yanlin Zhao / Qiang Liu / Yang Li / Hang Lin

    Sustainability, Vol 16, Iss 1, p

    2023  Volume 24

    Abstract: The sustainability of rock engineering is an emerging trend in future development, as society increasingly recognizes the importance of environmental conservation and responsible resource utilization. In this context, the field of rock engineering is ... ...

    Abstract The sustainability of rock engineering is an emerging trend in future development, as society increasingly recognizes the importance of environmental conservation and responsible resource utilization. In this context, the field of rock engineering is undergoing a paradigm shift toward more sustainable practices. A significant aspect of this shift is the investigation of energy evolution laws specific to rocks, which assumes paramount importance in ensuring the sustainable utilization of damaged rock roadways. To investigate the impact of confining pressure and pore pressure on the energy evolution characteristics of rock beyond the peak, post-peak cyclic loading and unloading tests were conducted on sandstone specimens under hydraulic coupling conditions using the MTS815 rock mechanical test system. The study encompassed three sets of confining pressures, namely, 10 MPa, 20 MPa, and 30 MPa. Different levels of pore pressure were applied within each confining pressure group. For the 10 MPa confining pressure, the pore pressure values were set at 2 MPa, 4 MPa, 6 MPa, and 8 MPa. Similarly, for the 20 MPa and 30 MPa confining pressures, the corresponding pore pressure values were 2 MPa, 6 MPa, 10 MPa, 14 MPa, 18 MPa, and 22 MPa. The experimental findings indicate that as the confining pressure increases, both the maximum and residual elastic energy densities of the rock gradually increase. The rise in confining pressure impedes the release of elastic energy. Moreover, with increasing confining pressure, the rate of increase in the maximum dissipated energy density diminishes, highlighting the inhibitory effect of confining pressure on energy dissipation and release within the rock. Pore pressure, on the other hand, disrupts the load-bearing structure of the rock and reduces its energy storage capacity. Under a constant confining pressure, for a fixed number of cycles (axial strain), the total input energy density, elastic energy density, and dissipation energy density exhibit a negative correlation with pore ...
    Keywords sustainable rock engineering ; hydraulic coupling ; energy evolution ; post-peak cyclic loading and unloading ; energy density ; energy proportion ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 541
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Self-propelled bioglass janus nanomotors for dentin hypersensitivity treatment.

    Wu, Wei / Chi, Hang / Zhang, Qianyang / Zheng, Ce / Hu, Narisu / Wu, Yingjie / Liu, Jiaxin

    Nanoscale

    2023  Volume 15, Issue 48, Page(s) 19681–19690

    Abstract: Dentin hypersensitivity treatment is not always successful owing to the exfoliation of the blocking layer. Therefore, efficiently delivering a desensitization agent into the dental tubule is critical. Nanomotors are widely used ... ...

    Abstract Dentin hypersensitivity treatment is not always successful owing to the exfoliation of the blocking layer. Therefore, efficiently delivering a desensitization agent into the dental tubule is critical. Nanomotors are widely used as
    MeSH term(s) Humans ; Dentin Sensitivity/drug therapy ; Dentin ; Ceramics/chemistry ; Hydroxyapatites/therapeutic use
    Chemical Substances Bioglass ; Hydroxyapatites
    Language English
    Publishing date 2023-12-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 2515664-0
    ISSN 2040-3372 ; 2040-3364
    ISSN (online) 2040-3372
    ISSN 2040-3364
    DOI 10.1039/d3nr03685e
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Visible-light and near-infrared fluorescence and surface-enhanced Raman scattering point-of-care sensing and bio-imaging: a review

    Hang, Yingjie / Boryczka, Jennifer / Wu, Nianqiang

    Chemical Society reviews. 2022 Jan. 4, v. 51, no. 1

    2022  

    Abstract: This review article deals with the concepts, principles and applications of visible-light and near-infrared (NIR) fluorescence and surface-enhanced Raman scattering (SERS) in in vitro point-of-care testing (POCT) and in vivo bio-imaging. It has discussed ...

    Abstract This review article deals with the concepts, principles and applications of visible-light and near-infrared (NIR) fluorescence and surface-enhanced Raman scattering (SERS) in in vitro point-of-care testing (POCT) and in vivo bio-imaging. It has discussed how to utilize the biological transparency windows to improve the penetration depth and signal-to-noise ratio, and how to use surface plasmon resonance (SPR) to amplify fluorescence and SERS signals. This article has highlighted some plasmonic fluorescence and SERS probes. It has also reviewed the design strategies of fluorescent and SERS sensors in the detection of metal ions, small molecules, proteins and nucleic acids. Particularly, it has provided perspectives on the integration of fluorescent and SERS sensors into microfluidic chips as lab-on-chips to realize point-of-care testing. It has also discussed the design of active microfluidic devices and non-paper- or paper-based lateral flow assays for in vitro diagnostics. In addition, this article has discussed the strategies to design in vivo NIR fluorescence and SERS bio-imaging platforms for monitoring physiological processes and disease progression in live cells and tissues. Moreover, it has highlighted the applications of POCT and bio-imaging in testing toxins, heavy metals, illicit drugs, cancers, traumatic brain injuries, and infectious diseases such as COVID-19, influenza, HIV and sepsis.
    Keywords COVID-19 infection ; bioimaging ; brain ; diagnostic techniques ; disease progression ; fluorescence ; influenza ; signal-to-noise ratio ; surface plasmon resonance
    Language English
    Dates of publication 2022-0104
    Size p. 329-375.
    Publishing place The Royal Society of Chemistry
    Document type Article
    ZDB-ID 1472875-8
    ISSN 1460-4744 ; 0306-0012
    ISSN (online) 1460-4744
    ISSN 0306-0012
    DOI 10.1039/c9cs00621d
    Database NAL-Catalogue (AGRICOLA)

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  7. Article: Study on Mechanical Properties of Two-Component Polyurethane Based on Multi-Scale Molecular Simulation.

    Wang, Xingyu / Yu, Tianlai / Wu, Yuxuan / Sheng, Yingjie / Wang, Yifan / Hang, Yutong

    Materials (Basel, Switzerland)

    2023  Volume 16, Issue 3

    Abstract: Mechanical properties determine the use of two-component polyurethane materials. The compatibility of two components in the polyether polyol-MDI molecular system greatly influences the formation of mechanical properties in polyurethane materials. In this ...

    Abstract Mechanical properties determine the use of two-component polyurethane materials. The compatibility of two components in the polyether polyol-MDI molecular system greatly influences the formation of mechanical properties in polyurethane materials. In this paper, we studied and evaluated the compatibility and mechanical properties of two-component polyurethane at multiple scales by combining molecular dynamics simulation with macroscopic experiments, which is an important guideline for synthesizing and preparing two-component polyurethanes. We evaluated the stability of the two-component polyurethane system by calculating the solubility parameter, binding energy, and diffusion coefficient at four temperatures with three isocyanate contents. The Perl scripting language obtained the mechanical properties of the MDI-polyether polyol system. The MD calculation results show that the solubility parameter of two-component polyurethane negatively correlated with temperature, and the intermolecular binding energy and MDI diffusion coefficient positively correlated with temperature. When the mass ratio of polyether polyol to isocyanate was 1:0.6, the solubility parameter difference between the two was 1.43 (J/cm
    Language English
    Publishing date 2023-01-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma16031006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions.

    Liu, Jiabin / Wang, Bo / Hang, Hanyuan / Wang, Huadong / Qi, Zhiquan / Tian, Yingjie / Shi, Yong

    IEEE transactions on neural networks and learning systems

    2023  Volume 34, Issue 11, Page(s) 8377–8388

    Abstract: Learning from label proportions (LLP) is a widespread and important learning paradigm: only the bag-level proportional information of the grouped training instances is available for the classification task, instead of the instance-level labels in the ... ...

    Abstract Learning from label proportions (LLP) is a widespread and important learning paradigm: only the bag-level proportional information of the grouped training instances is available for the classification task, instead of the instance-level labels in the fully supervised scenario. As a result, LLP is a typical weakly supervised learning protocol and commonly exists in privacy protection circumstances due to the sensitivity in label information for real-world applications. In general, it is less laborious and more efficient to collect label proportions as the bag-level supervised information than the instance-level one. However, the hint for learning the discriminative feature representation is also limited as a less informative signal directly associated with the labels is provided, thus deteriorating the performance of the final instance-level classifier. In this article, delving into the label proportions, we bypass this weak supervision by leveraging generative adversarial networks (GANs) to derive an effective algorithm LLP-GAN. Endowed with an end-to-end structure, LLP-GAN performs approximation in the light of an adversarial learning mechanism without imposing restricted assumptions on distribution. Accordingly, the final instance-level classifier can be directly induced upon the discriminator with minor modification. Under mild assumptions, we give the explicit generative representation and prove the global optimality for LLP-GAN. In addition, compared with existing methods, our work empowers LLP solvers with desirable scalability inheriting from deep models. Extensive experiments on benchmark datasets and a real-world application demonstrate the vivid advantages of the proposed approach.
    Language English
    Publishing date 2023-10-27
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2022.3149926
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels.

    Liu, Jiabin / Hang, Hanyuan / Wang, Bo / Li, Biao / Wang, Huadong / Tian, Yingjie / Shi, Yong

    IEEE transactions on cybernetics

    2022  Volume 53, Issue 1, Page(s) 236–247

    Abstract: Learning from complementary labels (CLs) is a useful learning paradigm, where the CL specifies the classes that the instance does not belong to, instead of providing the ground truth as in the ordinary supervised learning scenario. In general, although ... ...

    Abstract Learning from complementary labels (CLs) is a useful learning paradigm, where the CL specifies the classes that the instance does not belong to, instead of providing the ground truth as in the ordinary supervised learning scenario. In general, although it is less laborious and more efficient to collect CLs compared with ordinary labels, the less informative signal in the complementary supervision is less helpful to learn competent feature representation. Consequently, the final classifier's performance greatly deteriorates. In this article, we leverage generative adversarial networks (GANs) to derive an algorithm GAN-CL to effectively learn from CLs. In addition to the role in original GAN, the discriminator also serves as a normal classifier in GAN-CL, with the objective constructed partly with the complementary information. To further prove the effectiveness of our schema, we study the global optimality of both generator and discriminator for the GAN-CL under mild assumptions. We conduct extensive experiments on benchmark image datasets using deep models, to demonstrate the compelling improvements, compared with state-of-the-art CL learning approaches.
    Language English
    Publishing date 2022-12-23
    Publishing country United States
    Document type Journal Article
    ISSN 2168-2275
    ISSN (online) 2168-2275
    DOI 10.1109/TCYB.2021.3089337
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Intergrating Hollow Multishelled Structure and High Entropy Engineering toward Enhanced Mechano-Electrochemical Properties in Lithium Battery.

    Liu, Xuefeng / Yu, Yingjie / Li, Kezhuo / Li, Yage / Li, Xiaohan / Yuan, Zhen / Li, Hang / Zhang, Haijun / Gong, Mingxing / Xia, Weiwei / Deng, Yaping / Lei, Wen

    Advanced materials (Deerfield Beach, Fla.)

    2024  , Page(s) e2312583

    Abstract: Hollow multishelled structures (HoMSs) are attracting great interest in lithium-ion batteries as the conversion anodes, owing to their superior buffering effect and mechanical stability. Given the synthetic challenges, especially elemental diffusion ... ...

    Abstract Hollow multishelled structures (HoMSs) are attracting great interest in lithium-ion batteries as the conversion anodes, owing to their superior buffering effect and mechanical stability. Given the synthetic challenges, especially elemental diffusion barrier in the multimetal combinations, this complex structure design has been realized in low- and medium-entropy compounds so far. It means that poor reaction reversibility and low intrinsic conductivity remain largely unresolved. Here, a hollow multishelled (LiFeZnNiCoMn)
    Language English
    Publishing date 2024-02-01
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1474949-X
    ISSN 1521-4095 ; 0935-9648
    ISSN (online) 1521-4095
    ISSN 0935-9648
    DOI 10.1002/adma.202312583
    Database MEDical Literature Analysis and Retrieval System OnLINE

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