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  1. Article ; Online: Significantly Enhanced Energy Density of Polyvinylidene Fluoride/Polyimide-Based Nanocomposites by Core-Shell BaTiO

    Ye, Lu / Ran, Changning / Xie, Zhihui / Zhang, Jianjun / Ma, Sude

    Langmuir : the ACS journal of surfaces and colloids

    2024  Volume 40, Issue 14, Page(s) 7710–7722

    Abstract: Improving the limited energy storage capacity of dielectric materials has long been an attractive challenge. In this work, a four-phase hybridized nanocomposite was designed. The linear polymer polyimide (PI) was added to the ferroelectric polymer ... ...

    Abstract Improving the limited energy storage capacity of dielectric materials has long been an attractive challenge. In this work, a four-phase hybridized nanocomposite was designed. The linear polymer polyimide (PI) was added to the ferroelectric polymer polyvinylidene fluoride (PVDF) and compounded with a nanoceramic BT@SiO
    Language English
    Publishing date 2024-03-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2005937-1
    ISSN 1520-5827 ; 0743-7463
    ISSN (online) 1520-5827
    ISSN 0743-7463
    DOI 10.1021/acs.langmuir.4c00417
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Aprepitant alleviates post-stroke pneumonia in a mouse model of middle cerebral artery occlusion.

    Xie, Zhihui / Xin, Minghui / Yu, Fatao / Zhu, Xiaolin

    Rejuvenation research

    2024  

    Abstract: Elevated substance P can be utilized to predict early mortality during the first week of cerebral infarction. Whether Aprepitant, a substance P receptor blocker, could be utilized to alleviate post-stroke pneumonia is investigated in this study. ... ...

    Abstract Elevated substance P can be utilized to predict early mortality during the first week of cerebral infarction. Whether Aprepitant, a substance P receptor blocker, could be utilized to alleviate post-stroke pneumonia is investigated in this study. Intraluminal monofilament model of middle cerebral artery occlusion (MCAO) was constructed in C57BL/6J male mice, and the relative expression of substance P was detected in collected bronchoalveolar lavage fluid (BALF) and lung tissue homogenate at 24 h, 48 h, and 72 h post-stroke. On the other hand, different concentrations of aprepitant (0.5, 1, 2 mg/kg) were atomized and inhaled into MCAO mice. Inflammation cytokines and bacterial load were detected in collected BALF and lung tissue homogenate at 72-h post-stroke, and lung injury was revealed by histological examination. Aprepitant administration decreased total proteins, total cells, neutrophils, and macrophages in BALF. The concentrations of interleukin (IL)-6, IL-1β, tumor necrosis factor-α, interferon γ, monocyte chemoattractant protein-1, and IL-10 in lung tissue homogenates were also diminished by the administration of aprepitant. In conclusion, aprepitant could attenuate post-stroke pneumonia in mice suggesting its potential therapeutic use in the clinic.
    Language English
    Publishing date 2024-04-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2150779-X
    ISSN 1557-8577 ; 1549-1684
    ISSN (online) 1557-8577
    ISSN 1549-1684
    DOI 10.1089/rej.2024.0011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Flotation Separation of Fluorite from Calcite using an Efficient Depressant Nitrilotriacetic Acid in the NaOL System.

    Xie, Ruiqi / Zhao, Zhihui / Wang, Xun / Song, Qiang / Tong, Xiong / Xie, Xian

    Langmuir : the ACS journal of surfaces and colloids

    2024  Volume 40, Issue 5, Page(s) 2624–2631

    Abstract: Fluorite and calcite were separated with nitrilotriacetic acid (NTA) as a depressant. The single mineral flotation experiment confirmed that with 40 mg/L NaOL and 80 mg/L NTA, the fluorite recovery and calcite recovery were 24.37 and 94.13%, respectively, ...

    Abstract Fluorite and calcite were separated with nitrilotriacetic acid (NTA) as a depressant. The single mineral flotation experiment confirmed that with 40 mg/L NaOL and 80 mg/L NTA, the fluorite recovery and calcite recovery were 24.37 and 94.13%, respectively, at pH 9. Meanwhile, in the fluorite-calcite binary mixed ore flotation experiment, the calcite recovery and fluorite recovery were 75.50 and 26.84%, respectively, and the CaCO
    Language English
    Publishing date 2024-01-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2005937-1
    ISSN 1520-5827 ; 0743-7463
    ISSN (online) 1520-5827
    ISSN 0743-7463
    DOI 10.1021/acs.langmuir.3c03083
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Retraction notice to "Significance of halofuginone in esophageal squamous carcinoma cell apoptosis through HIF-1α-FOXO3a pathway" [Life Sci. 257 (2020) 118104].

    Wang, Yaqiu / Xie, Zhihui / Lu, Hong

    Life sciences

    2022  Volume 308, Page(s) 120813

    Language English
    Publishing date 2022-08-06
    Publishing country Netherlands
    Document type Journal Article ; Retraction of Publication
    ZDB-ID 3378-9
    ISSN 1879-0631 ; 0024-3205
    ISSN (online) 1879-0631
    ISSN 0024-3205
    DOI 10.1016/j.lfs.2022.120813
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Biofluid biomarkers for Alzheimer's disease.

    Wang, Sensen / Xie, Sitan / Zheng, Qinpin / Zhang, Zhihui / Wang, Tian / Zhang, Guirong

    Frontiers in aging neuroscience

    2024  Volume 16, Page(s) 1380237

    Abstract: Alzheimer's disease (AD) is a multifactorial neurodegenerative disease, with a complex pathogenesis and an irreversible course. Therefore, the early diagnosis of AD is particularly important for the intervention, prevention, and treatment of the disease. ...

    Abstract Alzheimer's disease (AD) is a multifactorial neurodegenerative disease, with a complex pathogenesis and an irreversible course. Therefore, the early diagnosis of AD is particularly important for the intervention, prevention, and treatment of the disease. Based on the different pathophysiological mechanisms of AD, the research progress of biofluid biomarkers are classified and reviewed. In the end, the challenges and perspectives of future research are proposed.
    Language English
    Publishing date 2024-04-10
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2558898-9
    ISSN 1663-4365
    ISSN 1663-4365
    DOI 10.3389/fnagi.2024.1380237
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Two heads are better than one: Dual systems obtain better performance in facial comparison.

    Li, Zhihui / Xie, Lanchi / Song, Huaqing

    Forensic science international

    2023  Volume 353, Page(s) 111879

    Abstract: Forensic facial image comparison based on recognition algorithms has been widely applied in forensic science. Previous researches have been concentrating on the cases of using single system during comparison, while how to use multiple systems has not yet ...

    Abstract Forensic facial image comparison based on recognition algorithms has been widely applied in forensic science. Previous researches have been concentrating on the cases of using single system during comparison, while how to use multiple systems has not yet been studied. In this paper, a dual-systems model (including SeetaFace and FaceNet) for facial comparison was constructed, and Bayesian networks were utilized as the basic frame. In order to prove its superiority, a large-scale experiment (on the dataset CelebA) has been carried on to evaluate the score-based likelihood ratio. We used three likelihood ratio evaluation tools (Empirical Cross-Entropy, Cost Likelihood Ratio, Limit Tippett Plots) to assess the performance of the model. The Wasserstein distance was also used to evaluate the detailed likelihood ratio performance. The experimental results show that the likelihood ratio performance of our dual-systems model is better than single system. Besides, our method of model building and evaluation can also be used in the condition of triple or more systems.
    MeSH term(s) Bayes Theorem ; Forensic Medicine ; Forensic Sciences/methods ; Algorithms ; Face
    Language English
    Publishing date 2023-11-04
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 424042-x
    ISSN 1872-6283 ; 0379-0738
    ISSN (online) 1872-6283
    ISSN 0379-0738
    DOI 10.1016/j.forsciint.2023.111879
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.B 1104: Show issues Location:
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  7. Article ; Online: Deep learning features in facial identification and the likelihood ratio bound.

    Li, Zhihui / Xie, Lanchi / Wang, Guiqiang

    Forensic science international

    2023  Volume 344, Page(s) 111576

    Abstract: In recent years, the score-based likelihood ratio (SLR) method for facial comparison has attracted considerable research attention. This method relies on the match scores that are calculated from the features obtained from facial recognition systems, ... ...

    Abstract In recent years, the score-based likelihood ratio (SLR) method for facial comparison has attracted considerable research attention. This method relies on the match scores that are calculated from the features obtained from facial recognition systems, deep learning based in particular. However, this concept has not been completely understood. Therefore, this study is aimed at investigating deep learning facial features, and the SLR levels of their match scores. We propose a new interpretation that the deep learning feature is a class characteristic. Based on a large-scale data set experiment, we present evidence that the log SLR value of deep learning features can reach 8 in some data sets. The study results imply that the SLR of deep learning features is a useful method for facial identification, especially when the suspected image is obtained via a CCTV camera.
    MeSH term(s) Deep Learning ; Face
    Language English
    Publishing date 2023-01-26
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 424042-x
    ISSN 1872-6283 ; 0379-0738
    ISSN (online) 1872-6283
    ISSN 0379-0738
    DOI 10.1016/j.forsciint.2023.111576
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Metabolic score for insulin resistance (METS-IR) and new-onset type 2 diabetes in a middle-aged and elderly population: a nationwide prospective cohort study and implications for primary care.

    Cheng, Hui / Jia, Zhihui / Li, Yu Ting / Yu, Xiao / Wang, Jia Ji / Xie, Yao Jie / Hernandez, Jose / Wang, Harry H X

    JMIR public health and surveillance

    2024  

    Language English
    Publishing date 2024-03-29
    Publishing country Canada
    Document type Journal Article
    ISSN 2369-2960
    ISSN (online) 2369-2960
    DOI 10.2196/49617
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Book ; Online: Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations

    Xie, Zhihui / Zhao, Handong / Yu, Tong / Li, Shuai

    2024  

    Abstract: Large pretrained multilingual language models (ML-LMs) have shown remarkable capabilities of zero-shot cross-lingual transfer, without direct cross-lingual supervision. While these results are promising, follow-up works found that, within the ... ...

    Abstract Large pretrained multilingual language models (ML-LMs) have shown remarkable capabilities of zero-shot cross-lingual transfer, without direct cross-lingual supervision. While these results are promising, follow-up works found that, within the multilingual embedding spaces, there exists strong language identity information which hinders the expression of linguistic factors shared across languages. For semantic tasks like cross-lingual sentence retrieval, it is desired to remove such language identity signals to fully leverage semantic information. In this work, we provide a novel view of projecting away language-specific factors from a multilingual embedding space. Specifically, we discover that there exists a low-rank subspace that primarily encodes information irrelevant to semantics (e.g., syntactic information). To identify this subspace, we present a simple but effective unsupervised method based on singular value decomposition with multiple monolingual corpora as input. Once the subspace is found, we can directly project the original embeddings into the null space to boost language agnosticism without finetuning. We systematically evaluate our method on various tasks including the challenging language-agnostic QA retrieval task. Empirical results show that applying our method consistently leads to improvements over commonly used ML-LMs.

    Comment: 17 pages, 7 figures, EMNLP 2022 (main conference)
    Keywords Computer Science - Computation and Language ; Computer Science - Machine Learning
    Publishing date 2024-01-11
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Deep learning features in facial identification and the likelihood ratio bound

    Li, Zhihui / Xie, Lanchi / Wang, Guiqiang

    Forensic Science International. 2023 Mar., v. 344 p.111576-

    2023  

    Abstract: In recent years, the score-based likelihood ratio (SLR) method for facial comparison has attracted considerable research attention. This method relies on the match scores that are calculated from the features obtained from facial recognition systems, ... ...

    Abstract In recent years, the score-based likelihood ratio (SLR) method for facial comparison has attracted considerable research attention. This method relies on the match scores that are calculated from the features obtained from facial recognition systems, deep learning based in particular. However, this concept has not been completely understood. Therefore, this study is aimed at investigating deep learning facial features, and the SLR levels of their match scores. We propose a new interpretation that the deep learning feature is a class characteristic. Based on a large-scale data set experiment, we present evidence that the log SLR value of deep learning features can reach 8 in some data sets. The study results imply that the SLR of deep learning features is a useful method for facial identification, especially when the suspected image is obtained via a CCTV camera.
    Keywords cameras ; data collection ; forensic sciences ; Forensic Science ; Facial Comparison ; Facial Recognition ; Score-based Likelihood Ratio ; Forensic Evidence
    Language English
    Dates of publication 2023-03
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 424042-x
    ISSN 1872-6283 ; 0379-0738
    ISSN (online) 1872-6283
    ISSN 0379-0738
    DOI 10.1016/j.forsciint.2023.111576
    Database NAL-Catalogue (AGRICOLA)

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