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  1. Article ; Online: Fundamental and Applied Reviews in Analytical Chemistry: 2023.

    Ren, Bin

    Analytical chemistry

    2023  Volume 95, Issue 1, Page(s) 1–2

    MeSH term(s) Chemistry, Analytic ; Chemistry Techniques, Analytical
    Language English
    Publishing date 2023-01-10
    Publishing country United States
    Document type Editorial
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.2c05717
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4033: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Fundamental and Applied Reviews in Analytical Chemistry.

    Ren, Bin

    Analytical chemistry

    2022  Volume 94, Issue 1, Page(s) 1–2

    MeSH term(s) Chemistry Techniques, Analytical ; Chemistry, Analytic ; Humans ; Review Literature as Topic
    Language English
    Publishing date 2022-01-11
    Publishing country United States
    Document type Editorial
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.1c05291
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4033: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article: Assessing Passengers' Motion Sickness Levels Based on Cerebral Blood Oxygen Signals and Simulation of Actual Ride Sensation.

    Ren, Bin / Zhou, Qinyu

    Diagnostics (Basel, Switzerland)

    2023  Volume 13, Issue 8

    Abstract: 1) Background: After motion sickness occurs in the ride process, this can easily cause passengers to have a poor mental state, cold sweats, nausea, and even vomiting symptoms. This study proposes to establish an association model between motion sickness ...

    Abstract (1) Background: After motion sickness occurs in the ride process, this can easily cause passengers to have a poor mental state, cold sweats, nausea, and even vomiting symptoms. This study proposes to establish an association model between motion sickness level (MSL) and cerebral blood oxygen signals during a ride. (2) Methods: A riding simulation platform and the functional near-infrared spectroscopy (fNIRS) technology are utilized to monitor the cerebral blood oxygen signals of subjects in a riding simulation experiment. The subjects' scores on the Fast Motion sickness Scale (FMS) are determined every minute during the experiment as the dependent variable to manifest the change in MSL. The Bayesian ridge regression (BRR) algorithm is applied to construct an assessment model of MSL during riding. The score of the Graybiel scale is adopted to preliminarily verify the effectiveness of the MSL evaluation model. Finally, a real vehicle test is developed, and two driving modes are selected in random road conditions to carry out a control test. (3) Results: The predicted MSL in the comfortable mode is significantly less than the MSL value in the normal mode, which is in line with expectations. (4) Conclusions: Changes in cerebral blood oxygen signals have a huge correlation with MSL. The MSL evaluation model proposed in this study has a guiding significance for the early warning and prevention of motion sickness.
    Language English
    Publishing date 2023-04-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662336-5
    ISSN 2075-4418
    ISSN 2075-4418
    DOI 10.3390/diagnostics13081403
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  4. Article ; Online: House dust mite-specific immunotherapy alters the natural course of atopic march.

    Tang, Ren-Bin

    Journal of the Chinese Medical Association : JCMA

    2020  Volume 83, Issue 2, Page(s) 109–112

    Abstract: Allergen immunotherapy (AIT) is an effective treatment for patients with allergic diseases; it has been shown to modify the underlying cause of the disease. The house dust mite (HDM) is a major perennial allergen source and a significant cause of ... ...

    Abstract Allergen immunotherapy (AIT) is an effective treatment for patients with allergic diseases; it has been shown to modify the underlying cause of the disease. The house dust mite (HDM) is a major perennial allergen source and a significant cause of allergic-related diseases such as allergic rhinitis, asthma, and atopic dermatitis. HDM allergen is an important factor in the pathogenesis of allergic diseases. Sensitization to HDM allergen often occurs early in life and appears to play an important role in the progression from allergic rhinitis to asthma in children. The role of HDM AIT results in immunologic tolerance, provides an alternative option for treating HDM allergy through targeting the mechanisms of allergic reaction, and creates a long-term benefit. There are two forms of testing for aeroallergen, either detect by skin testing or by in vitro IgE assays. Both subcutaneous immunotherapy and sublingual immunotherapy are effective in the treatment of allergic diseases. In the future, new forms of allergen extracts can help improve safety and efficacy of AIT. Novel approaches to immunotherapy currently being explored include the use of adjuvants, allergen-derived peptides, modified recombinant allergen vaccines, and gene-specific immunotherapy.
    MeSH term(s) Animals ; Desensitization, Immunologic/methods ; Humans ; Hygiene ; Hypersensitivity/diagnosis ; Hypersensitivity/epidemiology ; Hypersensitivity/therapy ; Practice Guidelines as Topic ; Pyroglyphidae/immunology
    Language English
    Publishing date 2020-02-03
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 2107283-8
    ISSN 1728-7731 ; 1726-4901
    ISSN (online) 1728-7731
    ISSN 1726-4901
    DOI 10.1097/JCMA.0000000000000231
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2699: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: FoxO1 transcriptional activities in VEGF expression and beyond: a key regulator in functional angiogenesis?

    Ren, Bin

    The Journal of pathology

    2018  Volume 245, Issue 3, Page(s) 255–257

    Abstract: FoxO1 has emerged as an important regulator of angiogenesis. Recent work published in this Journal shows that FoxO1 regulates VEGF expression in keratinocytes and is required for angiogenesis in wound healing. Since FoxO1 also regulates CD36 ... ...

    Abstract FoxO1 has emerged as an important regulator of angiogenesis. Recent work published in this Journal shows that FoxO1 regulates VEGF expression in keratinocytes and is required for angiogenesis in wound healing. Since FoxO1 also regulates CD36 transcription, and endothelial cell differentiation and vascular maturation, this transcription factor may be essential for the formation of functional vascular networks via coupling the regulation of CD36 in vascular endothelial cells under physiological and pathological conditions. Although many outstanding questions remain to be answered, the mechanisms by which FoxO1 regulates VEGF in keratinocytes provide insight into the development of functional angiogenesis and further our understanding of vascular biology. Copyright © 2018 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
    MeSH term(s) Endothelial Cells ; Forkhead Box Protein O1 ; Humans ; Neovascularization, Pathologic ; United Kingdom ; Vascular Endothelial Growth Factor A ; Wound Healing
    Chemical Substances FOXO1 protein, human ; Forkhead Box Protein O1 ; VEGFA protein, human ; Vascular Endothelial Growth Factor A
    Language English
    Publishing date 2018-05-23
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 3119-7
    ISSN 1096-9896 ; 0022-3417
    ISSN (online) 1096-9896
    ISSN 0022-3417
    DOI 10.1002/path.5088
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    Ud II Zs.12: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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  6. Article: SYN1

    Ren, Bin / Wu, Xiaoyan / Zhou, Yuqiang / Chen, Lijuan / Jiang, Jingzi

    Frontiers in neurology

    2024  Volume 15, Page(s) 1359287

    Abstract: ... ...

    Abstract The
    Language English
    Publishing date 2024-03-21
    Publishing country Switzerland
    Document type Case Reports
    ZDB-ID 2564214-5
    ISSN 1664-2295
    ISSN 1664-2295
    DOI 10.3389/fneur.2024.1359287
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  7. Article: Study of Motion Sickness Model Based on fNIRS Multiband Features during Car Rides.

    Ren, Bin / Guan, Wanli / Zhou, Qinyu

    Diagnostics (Basel, Switzerland)

    2023  Volume 13, Issue 8

    Abstract: Motion sickness is a common physiological discomfort phenomenon during car rides. In this paper, the functional near-infrared spectroscopy (fNIRS) technique was used in real-world vehicle testing. The fNIRS technique was utilized to model the ... ...

    Abstract Motion sickness is a common physiological discomfort phenomenon during car rides. In this paper, the functional near-infrared spectroscopy (fNIRS) technique was used in real-world vehicle testing. The fNIRS technique was utilized to model the relationship between changes in blood oxygenation levels in the prefrontal cortex of passengers and motion sickness symptoms under different motion conditions. To enhance the accuracy of motion sickness classification, the study utilized principal component analysis (PCA) to extract the most significant features from the test data. Wavelet decomposition was used to extract the power spectrum entropy (PSE) features of five frequency bands highly related to motion sickness. The correlation between motion sickness and cerebral blood oxygen levels was modeled by a 6-point scale calibration for the subjective evaluation of the degree of passenger motion sickness. A support vector machine (SVM) was used to build a motion sickness classification model, achieving an accuracy of 87.3% with the 78 sets of data. However, individual analysis of the 13 subjects showed a varying range of accuracy from 50% to 100%, suggesting the presence of individual differences in the relationship between cerebral blood oxygen levels and motion sickness symptoms. Thus, the results demonstrated that the magnitude of motion sickness during the ride was closely related to the change in the PSE of the five frequency bands of cerebral prefrontal blood oxygen, but further studies are needed to investigate individual variability.
    Language English
    Publishing date 2023-04-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662336-5
    ISSN 2075-4418
    ISSN 2075-4418
    DOI 10.3390/diagnostics13081462
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  8. Article ; Online: EEG-Based Driver Fatigue Monitoring within a Human-Ship-Environment System: Implications for Ship Braking Safety.

    Ren, Bin / Guan, Wanli / Zhou, Qinyu / Wang, Zilin

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 10

    Abstract: To address the uncontrollable risks associated with the overreliance on ship operators' driving in current ship safety braking methods, this study aims to reduce the impact of operator fatigue on navigation safety. Firstly, this study established a human- ...

    Abstract To address the uncontrollable risks associated with the overreliance on ship operators' driving in current ship safety braking methods, this study aims to reduce the impact of operator fatigue on navigation safety. Firstly, this study established a human-ship-environment monitoring system with functional and technical architecture, emphasizing the investigation of a ship braking model that integrates brain fatigue monitoring using electroencephalography (EEG) to reduce braking safety risks during navigation. Subsequently, the Stroop task experiment was employed to induce fatigue responses in drivers. By utilizing principal component analysis (PCA) to reduce dimensionality across multiple channels of the data acquisition device, this study extracted centroid frequency (CF) and power spectral entropy (PSE) features from channels 7 and 10. Additionally, a correlation analysis was conducted between these features and the Fatigue Severity Scale (FSS), a five-point scale for assessing fatigue severity in the subjects. This study established a model for scoring driver fatigue levels by selecting the three features with the highest correlation and utilizing ridge regression. The human-ship-environment monitoring system and fatigue prediction model proposed in this study, combined with the ship braking model, achieve a safer and more controllable ship braking process. By real-time monitoring and prediction of driver fatigue, appropriate measures can be taken in a timely manner to ensure navigation safety and driver health.
    MeSH term(s) Humans ; Ships ; Brain ; Electroencephalography ; Entropy ; Principal Component Analysis
    Language English
    Publishing date 2023-05-10
    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/s23104644
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  9. Article ; Online: Assessing cognitive workloads of assembly workers during multi-task switching.

    Ren, Bin / Zhou, Qinyu / Chen, Jiayu

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 16356

    Abstract: Complex assembly tasks with multiple manual operations and steps often require rapid judgment and action under time pressure and cause most human-related errors. The task switching and action transitions are major sources of these errors. This study ... ...

    Abstract Complex assembly tasks with multiple manual operations and steps often require rapid judgment and action under time pressure and cause most human-related errors. The task switching and action transitions are major sources of these errors. This study intends to implement an electroencephalography (EEG) approach to quantitatively evaluate the mental workload during task switching and transition. The time-frequency and spectrum analysis were utilized to compute and reflect the task demand between the intervals of individual tasks. This study developed an experiment to validate the proposed assessment approach and benchmark the results with the National Aeronautics and Space Administration task load index (NASA-TLX) subjective evaluation scale analysis. The results show that the average value of the power spectral densities (PSDs) of the gamma band signal of the AF4 channel and the beta band signal of Channel F3 show distinctive signal patterns among task stages and intervals. During the interval between the idling stage and the part selection stage, the peak of the PSD envelope increased from 18 to 27 Hz, suggesting advanced cognition increases the mental workload of the interval between different tasks. Therefore, the task switching period cannot be regarded as rest and need to be optimized with better task organization.
    MeSH term(s) United States ; Humans ; Task Performance and Analysis ; Workload ; Cognition ; Judgment ; United States National Aeronautics and Space Administration
    Language English
    Publishing date 2023-09-29
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-43477-0
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  10. Article ; Online: The new insights into autophagy in thyroid cancer progression.

    Shi, Yu-Bo / Chen, Shu-Yuan / Liu, Ren-Bin

    Journal of translational medicine

    2023  Volume 21, Issue 1, Page(s) 413

    Abstract: In recent decades, the incidence of thyroid cancer keeps growing at a shocking rate, which has aroused increasing concerns worldwide. Autophagy is a fundamental and ubiquitous biological event conserved in mammals including humans. Basically, autophagy ... ...

    Abstract In recent decades, the incidence of thyroid cancer keeps growing at a shocking rate, which has aroused increasing concerns worldwide. Autophagy is a fundamental and ubiquitous biological event conserved in mammals including humans. Basically, autophagy is a catabolic process that cellular components including small molecules and damaged organelles are degraded for recycle to meet the energy needs, especially under the extreme conditions. The dysregulated autophagy has indicated to be involved in thyroid cancer progression. The enhancement of autophagy can lead to autophagic cell death during the degradation while the produced energies can be utilized by the rest of the cancerous tissue, thus this influence could be bidirectional, which plays either a tumor-suppressive or oncogenic role. Accordingly, autophagy can be suppressed by therapeutic agents and is thus regarded as a drug target for thyroid cancer treatments. In the present review, a brief description of autophagy and roles of autophagy in tumor context are given. We have addressed summary of the mechanisms and functions of autophagy in thyroid cancer. Some potential autophagy-targeted treatments are also summarized. The aim of the review is linking autophagy to thyroid cancer, so as to develop novel approaches to better control cancer progression.
    MeSH term(s) Animals ; Humans ; Neoplasms/pathology ; Thyroid Neoplasms ; Autophagy/physiology ; Mammals
    Language English
    Publishing date 2023-06-24
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2118570-0
    ISSN 1479-5876 ; 1479-5876
    ISSN (online) 1479-5876
    ISSN 1479-5876
    DOI 10.1186/s12967-023-04265-6
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