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  1. Article ; Online: Real-time breast lesion classification combining diffuse optical tomography frequency domain data and BI-RADS assessment.

    Li, Shuying / Zhang, Menghao / Xue, Minghao / Zhu, Quing

    Journal of biophotonics

    2024  Volume 17, Issue 5, Page(s) e202300483

    Abstract: Ultrasound (US)-guided diffuse optical tomography (DOT) has demonstrated potential for breast cancer diagnosis, in which real-time or near real-time diagnosis with high accuracy is desired. However, DOT's relatively slow data processing and image ... ...

    Abstract Ultrasound (US)-guided diffuse optical tomography (DOT) has demonstrated potential for breast cancer diagnosis, in which real-time or near real-time diagnosis with high accuracy is desired. However, DOT's relatively slow data processing and image reconstruction speeds have hindered real-time diagnosis. Here, we propose a real-time classification scheme that combines US breast imaging reporting and data system (BI-RADS) readings and DOT frequency domain measurements. A convolutional neural network is trained to generate malignancy probability scores from DOT measurements. Subsequently, these scores are integrated with BI-RADS assessments using a support vector machine classifier, which then provides the final diagnostic output. An area under the receiver operating characteristic curve of 0.978 is achieved in distinguishing between benign and malignant breast lesions in patient data without image reconstruction.
    MeSH term(s) Humans ; Tomography, Optical/methods ; Breast Neoplasms/diagnostic imaging ; Breast Neoplasms/pathology ; Female ; Image Processing, Computer-Assisted/methods ; Time Factors ; Neural Networks, Computer
    Language English
    Publishing date 2024-03-02
    Publishing country Germany
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2390063-5
    ISSN 1864-0648 ; 1864-063X
    ISSN (online) 1864-0648
    ISSN 1864-063X
    DOI 10.1002/jbio.202300483
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6723: Show issues Location:
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  2. Article ; Online: Corporate digital transformation and strategic investments of construction industry in China

    Zhuohui Zhu / Shuying Ning

    Heliyon, Vol 9, Iss 7, Pp e17879- (2023)

    2023  

    Abstract: Along with industrial revolution and upgrading technologies, all industries are changing their tradition ways of operation and management. However, the expanding construction industry is way behind this technological transformation. Traditional ways of ... ...

    Abstract Along with industrial revolution and upgrading technologies, all industries are changing their tradition ways of operation and management. However, the expanding construction industry is way behind this technological transformation. Traditional ways of design and operation have become obstacles in its transforming process. Construction industry has played indispensable role in China's economic growth for past decades, but now it should advance with the times. Recently, industrial enterprises have begun to adopt new concepts like digital construction and parametric design. But there still lacks evaluation on effectiveness of digital reform on construction enterprises. Therefore, this paper takes advantage of 2007–2018 panel data of construction industry in China, applies textual analysis to measure digital reform, and empirically testifies the effect of digital reform on strategic investments of construction enterprises. Results show that digital reform significantly increases corporate strategic investments, including R&D inputs and innovation outputs. This paper also discloses vital mechanism behind, namely, management foresight. Besides, we show that effect is stronger in districts with healthier relationships between enterprises and local governments. Corporate competence and future potential are also strengthened consequently. This paper provides empirical evidence about effect of digital reform on construction industry, and points out a possible direction for further industrial reform.
    Keywords Digitization ; Informatization ; Textual analysis ; Corporate strategic investments ; Innovation ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Subject code 650
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Corporate digital transformation and strategic investments of construction industry in China.

    Zhu, Zhuohui / Ning, Shuying

    Heliyon

    2023  Volume 9, Issue 7, Page(s) e17879

    Abstract: Along with industrial revolution and upgrading technologies, all industries are changing their tradition ways of operation and management. However, the expanding construction industry is way behind this technological transformation. Traditional ways of ... ...

    Abstract Along with industrial revolution and upgrading technologies, all industries are changing their tradition ways of operation and management. However, the expanding construction industry is way behind this technological transformation. Traditional ways of design and operation have become obstacles in its transforming process. Construction industry has played indispensable role in China's economic growth for past decades, but now it should advance with the times. Recently, industrial enterprises have begun to adopt new concepts like digital construction and parametric design. But there still lacks evaluation on effectiveness of digital reform on construction enterprises. Therefore, this paper takes advantage of 2007-2018 panel data of construction industry in China, applies textual analysis to measure digital reform, and empirically testifies the effect of digital reform on strategic investments of construction enterprises. Results show that digital reform significantly increases corporate strategic investments, including R&D inputs and innovation outputs. This paper also discloses vital mechanism behind, namely, management foresight. Besides, we show that effect is stronger in districts with healthier relationships between enterprises and local governments. Corporate competence and future potential are also strengthened consequently. This paper provides empirical evidence about effect of digital reform on construction industry, and points out a possible direction for further industrial reform.
    Language English
    Publishing date 2023-07-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e17879
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  4. Article: Ralstonia solanacearum

    Liu, Sushuang / Xue, Qi / Zhu, Shuying / Liu, Yanmin / Zou, Huasong

    Plants (Basel, Switzerland)

    2023  Volume 12, Issue 20

    Abstract: The root architecture of a range of host plants is altered in response ... ...

    Abstract The root architecture of a range of host plants is altered in response to
    Language English
    Publishing date 2023-10-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704341-1
    ISSN 2223-7747
    ISSN 2223-7747
    DOI 10.3390/plants12203600
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  5. Article ; Online: Two-stage classification strategy for breast cancer diagnosis using ultrasound-guided diffuse optical tomography and deep learning.

    Zhang, Menghao / Li, Shuying / Xue, Minghao / Zhu, Quing

    Journal of biomedical optics

    2023  Volume 28, Issue 8, Page(s) 86002

    Abstract: Significance: Ultrasound (US)-guided diffuse optical tomography (DOT) has demonstrated great potential for breast cancer diagnosis in which real-time or near real-time diagnosis with high accuracy is desired.: Aim: We aim to use US-guided DOT to ... ...

    Abstract Significance: Ultrasound (US)-guided diffuse optical tomography (DOT) has demonstrated great potential for breast cancer diagnosis in which real-time or near real-time diagnosis with high accuracy is desired.
    Aim: We aim to use US-guided DOT to achieve an automated, fast, and accurate classification of breast lesions.
    Approach: We propose a two-stage classification strategy with deep learning. In the first stage, US images and histograms created from DOT perturbation measurements are combined to predict benign lesions. Then the non-benign suspicious lesions are passed through to the second stage, which combine US image features, DOT histogram features, and 3D DOT reconstructed images for final diagnosis.
    Results: The first stage alone identified 73.0% of benign cases without image reconstruction. In distinguishing between benign and malignant breast lesions in patient data, the two-stage classification approach achieved an area under the receiver operating characteristic curve of 0.946, outperforming the diagnoses of all single-modality models and of a single-stage classification model that combines all US images, DOT histogram, and imaging features.
    Conclusions: The proposed two-stage classification strategy achieves better classification accuracy than single-modality-only models and a single-stage classification model that combines all features. It can potentially distinguish breast cancers from benign lesions in near real-time.
    MeSH term(s) Humans ; Female ; Breast Neoplasms/diagnostic imaging ; Deep Learning ; Breast/diagnostic imaging ; Tomography, Optical ; Ultrasonography, Interventional
    Language English
    Publishing date 2023-08-26
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1309154-2
    ISSN 1560-2281 ; 1083-3668
    ISSN (online) 1560-2281
    ISSN 1083-3668
    DOI 10.1117/1.JBO.28.8.086002
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4699: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  6. Article: Sensory-Guided Establishment of Sensory Lexicon and Investigation of Key Flavor Components for Goji Berry Pulp.

    Wang, Shuying / Su, Qingyu / Zhu, Yuxuan / Liu, Jiani / Zhang, Xinke / Zhang, Yu / Zhu, Baoqing

    Plants (Basel, Switzerland)

    2024  Volume 13, Issue 2

    Abstract: Many customers prefer goji berry pulp, well-known for its high nutritional content, over fresh goji berries. However, there is limited research on its sensory lexicon and distinctive flavor compounds. This study focused on developing a sensory lexicon ... ...

    Abstract Many customers prefer goji berry pulp, well-known for its high nutritional content, over fresh goji berries. However, there is limited research on its sensory lexicon and distinctive flavor compounds. This study focused on developing a sensory lexicon for goji berry pulp and characterizing its aroma by sensory and instrumental analysis. Sensory characteristics of goji berry pulp were evaluated by our established lexicon. A total of 83 aromatic compounds in goji berry pulp were quantified using HS-SPME-GC-Orbitrap-MS. By employing OAV in combination, we identified 17 aroma-active compounds as the key ingredients in goji berry pulp. Then, we identified the potentially significant contributors to the aroma of goji berry pulp by combining principal component analysis and partial least squares regression (PLSR) models of aroma compounds and sensory attributes, which included 3-ethylphenol, methyl caprylate, 2-hydroxy-4-methyl ethyl valerate, benzeneacetic acid, ethyl ester, hexanal,
    Language English
    Publishing date 2024-01-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704341-1
    ISSN 2223-7747
    ISSN 2223-7747
    DOI 10.3390/plants13020173
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  7. Article ; Online: The Identification and Role of the Key Mycotoxin of

    Liu, Chang / Li, Yiling / Chen, Hang / Li, Shuying / Han, Shan / Zhu, Tianhui / Liu, Yinggao / Li, Shujiang

    Journal of fungi (Basel, Switzerland)

    2023  Volume 9, Issue 12

    Abstract: Leaf spot is a common disease ... ...

    Abstract Leaf spot is a common disease of
    Language English
    Publishing date 2023-12-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2784229-0
    ISSN 2309-608X ; 2309-608X
    ISSN (online) 2309-608X
    ISSN 2309-608X
    DOI 10.3390/jof9121194
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  8. Article: Root rot Caused by

    Luo, Fengying / Huang, Mei / Liu, Han / Li, Shuying / Zhu, Tianhui / Han, Shan / Lin, Tiantian / Chen, Youzhong / Li, Shujiang

    Plant disease

    2023  

    Abstract: Star anise ( ...

    Abstract Star anise (
    Language English
    Publishing date 2023-03-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 754182-x
    ISSN 0191-2917
    ISSN 0191-2917
    DOI 10.1094/PDIS-01-23-0048-PDN
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 2043: Show issues

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  9. Article ; Online: CPAE: Contrastive predictive autoencoder for unsupervised pre-training in health status prediction.

    Zhu, Shuying / Zheng, Weizhong / Pang, Herbert

    Computer methods and programs in biomedicine

    2023  Volume 234, Page(s) 107484

    Abstract: Background and objective: Fully-supervised learning approaches have shown promising results in some health status prediction tasks using Electronic Health Records (EHRs). These traditional approaches rely on sufficient labeled data to learn from. ... ...

    Abstract Background and objective: Fully-supervised learning approaches have shown promising results in some health status prediction tasks using Electronic Health Records (EHRs). These traditional approaches rely on sufficient labeled data to learn from. However, in practice, acquiring large-scaled labeled medical data for various prediction tasks is often not feasible. Thus, it is of great interest to utilize contrastive pre-training to leverage the unlabeled information.
    Methods: In this work, we propose a novel data-efficient framework, contrastive predictive autoencoder (CPAE), to first learn without labels from the EHR data in the pre-training process, and then fine-tune on the downstream tasks. Our framework comprises of two parts: (i) a contrastive learning process, inherited from contrastive predictive coding (CPC), which aims to extract global slow-varying features, and (ii) a reconstruction process, which forces the encoder to capture local features. We also introduce the attention mechanism in one variant of our framework to balance the above two processes.
    Results: Experiments on real-world EHR dataset verify the effectiveness of our proposed framework on two downstream tasks (i.e., in-hospital mortality prediction and length-of-stay prediction), compared to their supervised counterparts, the CPC model, and other baseline models.
    Conclusions: By comprising of both contrastive learning components and reconstruction components, CPAE aims to extract both global slow-varying information and local transient information. The best results on two downstream tasks are all achieved by CPAE. The variant AtCPAE is particularly superior when fine-tuned on very small training data. Further work may incorporate techniques of multi-task learning to optimize the pre-training process of CPAEs. Moreover, this work is based on the benchmark MIMIC-III dataset which only includes 17 variables. Future work may extend to a larger number of variables.
    MeSH term(s) Benchmarking ; Electronic Health Records ; Health Status ; Hospital Mortality
    Language English
    Publishing date 2023-03-23
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 632564-6
    ISSN 1872-7565 ; 0169-2607
    ISSN (online) 1872-7565
    ISSN 0169-2607
    DOI 10.1016/j.cmpb.2023.107484
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    In stock of ZB MED Cologne/Königswinter

    Zs.B 521: Show issues Location:
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  10. Article ; Online: [Retracted] Propofol modulates the proliferation, invasion and migration of bladder cancer cells through the miR‑145‑5p/TOP2A axis.

    Du, Yi / Zhang, Xudong / Zhang, Hongwei / Chen, Yiding / Zhu, Shuying / Shu, Jinjun / Pan, Hui

    Molecular medicine reports

    2024  Volume 29, Issue 6

    Abstract: Following the publication of this paper, it was drawn to the Editor's attention by a concerned reader that the tumour images shown in Fig. 6B on p. 8 were strikingly similar to data appearing in different form in other articles written by different ... ...

    Abstract Following the publication of this paper, it was drawn to the Editor's attention by a concerned reader that the tumour images shown in Fig. 6B on p. 8 were strikingly similar to data appearing in different form in other articles written by different authors at different research institutes, which had either already been published or were under consideration for publication at around the same time. Owing to the fact that the contentious data in the above article were already under consideration for publication prior to its submission to
    Language English
    Publishing date 2024-04-12
    Publishing country Greece
    Document type Retraction of Publication
    ZDB-ID 2469505-1
    ISSN 1791-3004 ; 1791-2997
    ISSN (online) 1791-3004
    ISSN 1791-2997
    DOI 10.3892/mmr.2024.13218
    Database MEDical Literature Analysis and Retrieval System OnLINE

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