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  1. Book ; Online: Physiological Adaptations of Insects Exposed to Different Stress Conditions

    Tang, Bin / Wang, Su / Desneux, Nicolas / Biondi, Antonio

    2020  

    Keywords Science: general issues ; Physiology ; Insects ; physiology and behavior ; physiological metabolism and potential mechanism ; Physiological regulation of cell and molecular level ; stress condition or environment and morphological change
    Size 1 electronic resource (452 pages)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021231323
    ISBN 9782889662241 ; 2889662241
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: A High-Linearity Closed-Loop Capacitive Micro-Accelerometer Based on Ring-Diode Capacitance Detection.

    Tao, Qi / Tang, Bin

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 3

    Abstract: This paper presents an implementation scheme and experimental evaluation of a high-linearity closed-loop capacitive accelerometer based on ring-diode capacitance detection. By deducing the capacitance detection model of the ring-diode considering the ... ...

    Abstract This paper presents an implementation scheme and experimental evaluation of a high-linearity closed-loop capacitive accelerometer based on ring-diode capacitance detection. By deducing the capacitance detection model of the ring-diode considering the influence of the diode, the existing theoretical model error of the ring-diode is corrected and a closed-loop scheme of reusing the detection electrode and the control electrode of the MEMS die is designed to apply this detection scheme to the parallel-plate accelerometer, which only has three independent electrodes. After analyzing the non-linear problems in the existing closed-loop control schemes, a theoretically absolute linear closed-loop control scheme is proposed, and an integrated closed-loop accelerometer is realized by combining the closed-loop diode detection. The experimental results of the ring-diode detection model are in agreement with the theoretical formula. The non-linearity of the accelerometer within ±1 g after the closed-loop is 130 ppm, compared with 1500 ppm when the open-loop is used.
    Language English
    Publishing date 2023-02-01
    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/s23031568
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Knockdown of PAF1 reduces cervical cancer cell proliferation, migration and invasion via retarding FLOT2-mediated MEK/ERK1/2 pathway.

    Tang, Bin / Dou, Shulan

    Cell adhesion & migration

    2023  Volume 17, Issue 1, Page(s) 1–10

    Abstract: Cervical cancer (CC) is a very usual reproductive malignant tumor in women. RNA polymerase II-associated factor 1 (PAF1) and flotillin-2 (FLOT2) both have been discovered to key participators in cancers' progression. However, the effects of PAF1/FLOT2 ... ...

    Abstract Cervical cancer (CC) is a very usual reproductive malignant tumor in women. RNA polymerase II-associated factor 1 (PAF1) and flotillin-2 (FLOT2) both have been discovered to key participators in cancers' progression. However, the effects of PAF1/FLOT2 axis on CC development have not been probed. In this study, PAF1 and FLOT2 exhibited higher expression, and silencing of PAF1 down-regulated FLOT2 expression in CC. In addition, the regulatory effects of PAF1 suppression on CC progression were reversed after FLOT2 overexpression. Next, inhibition of PAF1 slowed the tumor growth in vivo through modulating FLOT2. Besides, down-regulation of PAF1 reduced FLOT2 expression to retard the MEK/ERK1/2 pathway. In conclusion, knockdown of PAF1 suppressed CC progression via retarding FLOT2-mediated MEK/ERK1/2 pathway. Our findings illustrated that the PAF1/FLOT2 axis may be useful bio-targets for CC treatment.
    MeSH term(s) Female ; Humans ; Uterine Cervical Neoplasms/genetics ; MAP Kinase Signaling System ; Cell Proliferation/genetics ; Mitogen-Activated Protein Kinase Kinases ; Transcription Factors
    Chemical Substances flotillins ; Mitogen-Activated Protein Kinase Kinases (EC 2.7.12.2) ; PAF1 protein, human ; Transcription Factors
    Language English
    Publishing date 2023-09-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2268518-2
    ISSN 1933-6926 ; 1933-6918
    ISSN (online) 1933-6926
    ISSN 1933-6918
    DOI 10.1080/19336918.2023.2260641
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: An active tunable terahertz functional metamaterial based on hybrid-graphene vanadium dioxide.

    Qi, Haonan / Tang, Bin

    Physical chemistry chemical physics : PCCP

    2023  Volume 25, Issue 11, Page(s) 7825–7831

    Abstract: In this paper, we propose a switchable and tunable functional metamaterial device based on hybrid graphene-vanadium dioxide ( ... ...

    Abstract In this paper, we propose a switchable and tunable functional metamaterial device based on hybrid graphene-vanadium dioxide (VO
    Language English
    Publishing date 2023-03-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476244-4
    ISSN 1463-9084 ; 1463-9076
    ISSN (online) 1463-9084
    ISSN 1463-9076
    DOI 10.1039/d3cp00092c
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Exploring the interplay between methylation patterns and non-coding RNAs in non-small cell lung cancer: Implications for pathogenesis and therapeutic targets.

    Yang, Mei / Hu, Xue / Tang, Bin / Deng, Fengmei

    Heliyon

    2024  Volume 10, Issue 2, Page(s) e24811

    Abstract: Lung cancer is a global public health issue, with non-small cell lung cancer (NSCLC) accounting for 80-85 % of cases. With over two million new diagnoses annually, understanding the complex evolution of this disease is crucial. The development of lung ... ...

    Abstract Lung cancer is a global public health issue, with non-small cell lung cancer (NSCLC) accounting for 80-85 % of cases. With over two million new diagnoses annually, understanding the complex evolution of this disease is crucial. The development of lung cancer involves a complex interplay of genetic, epigenetic, and environmental factors, leading the key oncogenes and tumor suppressor genes to disorder, and activating the cancer related signaling pathway. Non-coding RNAs (ncRNAs), including microRNAs (miRNAs), long non-coding RNA (lncRNAs), and circular RNA (circRNAs) are unique RNA transcripts with diverse biological functions. These ncRNAs are generated through genome transcription and play essential roles in cellular processes. Epigenetic modifications such as DNA methylation, N6-methyladenosine (m6A) modification, and histone methylation have gained significant attention in NSCLC research. The complexity of the interactions among these methylation modifications and ncRNAs contribute to the precise regulation of NSCLC development. This review comprehensively summarizes the associations between ncRNAs and different methylation modifications and discusses their effects on NSCLC. By elucidating these relationships, we aim to advance our understanding of NSCLC pathogenesis and identify potential therapeutic targets for this devastating disease.
    Language English
    Publishing date 2024-01-19
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e24811
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: 3D-MRI super-resolution reconstruction using multi-modality based on multi-resolution CNN.

    Kang, Li / Tang, Bin / Huang, Jianjun / Li, Jianping

    Computer methods and programs in biomedicine

    2024  Volume 248, Page(s) 108110

    Abstract: Background and objective: High-resolution (HR) MR images provide rich structural detail to assist physicians in clinical diagnosis and treatment plan. However, it is arduous to acquire HR MRI due to equipment limitations, scanning time or patient ... ...

    Abstract Background and objective: High-resolution (HR) MR images provide rich structural detail to assist physicians in clinical diagnosis and treatment plan. However, it is arduous to acquire HR MRI due to equipment limitations, scanning time or patient comfort. Instead, HR MRI could be obtained through a number of computer assisted post-processing methods that have proven to be effective and reliable. This paper aims to develop a convolutional neural network (CNN) based super-resolution reconstruction framework for low-resolution (LR) T2w images.
    Method: In this paper, we propose a novel multi-modal HR MRI generation framework based on deep learning techniques. Specifically, we construct a CNN based on multi-resolution analysis to learn an end-to-end mapping between LR T2w and HR T2w, where HR T1w is fed into the network to offer detailed a priori information to help generate HR T2w. Furthermore, a low-frequency filtering module is introduced to filter out the interference from HR-T1w during high-frequency information extraction. Based on the idea of multi-resolution analysis, detailed features extracted from HR T1w and LR T2w are fused at two scales in the network and then HR T2w is reconstructed by upsampling and dense connectivity module.
    Results: Extensive quantitative and qualitative evaluations demonstrate that the proposed method enhances the recovered HR T2w details and outperforms other state-of-the-art methods. In addition, the experimental results also suggest that our network has a lightweight structure and favorable generalization performance.
    Conclusion: The results show that the proposed method is capable of reconstructing HR T2w with higher accuracy. Meanwhile, the super-resolution reconstruction results on other dataset illustrate the excellent generalization ability of the method.
    MeSH term(s) Humans ; Information Storage and Retrieval ; Magnetic Resonance Imaging ; Neural Networks, Computer ; Physicians ; Image Processing, Computer-Assisted
    Language English
    Publishing date 2024-03-05
    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.2024.108110
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 521: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: They are not alone - Cell system and bone disease.

    Tang, Bin

    Progress in biophysics and molecular biology

    2019  Volume 148, Page(s) 2–3

    MeSH term(s) Bone Diseases/pathology ; Humans
    Language English
    Publishing date 2019-05-21
    Publishing country England
    Document type Editorial ; Introductory Journal Article
    ZDB-ID 209302-9
    ISSN 1873-1732 ; 0079-6107
    ISSN (online) 1873-1732
    ISSN 0079-6107
    DOI 10.1016/j.pbiomolbio.2019.05.007
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

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    In stock of ZB MED Cologne/Königswinter

    Uc I Zs.281: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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  8. Article ; Online: WITHDRAWN: They are not alone - Cell System and Bone Disease.

    Tang, Bin

    Progress in biophysics and molecular biology

    2019  

    Abstract: The Publisher regrets that this article is an accidental duplication of an article that has already been published, http://dx.doi.org/10.1016/j.pbiomolbio.2019.04.004. The duplicate article has therefore been withdrawn. ...

    Abstract The Publisher regrets that this article is an accidental duplication of an article that has already been published, http://dx.doi.org/10.1016/j.pbiomolbio.2019.04.004. The duplicate article has therefore been withdrawn.
    Language English
    Publishing date 2019-04-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 209302-9
    ISSN 1873-1732 ; 0079-6107
    ISSN (online) 1873-1732
    ISSN 0079-6107
    DOI 10.1016/j.pbiomolbio.2019.04.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

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    In stock of ZB MED Cologne/Königswinter

    Uc I Zs.281: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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  9. Article ; Online: Actively tunable and switchable terahertz metamaterials with multi-band perfect absorption and polarization conversion.

    Zhu, Ying / Huang, Zhiyu / Su, Jiangbin / Tang, Bin

    Physical chemistry chemical physics : PCCP

    2024  Volume 26, Issue 15, Page(s) 11649–11656

    Abstract: In this paper, we theoretically present and numerically demonstrate an actively tunable and switchable multi-functional metamaterial based on vanadium dioxide ( ... ...

    Abstract In this paper, we theoretically present and numerically demonstrate an actively tunable and switchable multi-functional metamaterial based on vanadium dioxide (VO
    Language English
    Publishing date 2024-04-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476244-4
    ISSN 1463-9084 ; 1463-9076
    ISSN (online) 1463-9084
    ISSN 1463-9076
    DOI 10.1039/d3cp06310k
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Tunable and switchable multi-functional terahertz metamaterials based on a hybrid vanadium dioxide-graphene integrated configuration.

    Tang, Bin / Ren, Yi

    Physical chemistry chemical physics : PCCP

    2022  Volume 24, Issue 14, Page(s) 8408–8414

    Abstract: In this paper, an actively tunable and switchable multi-functional terahertz metamaterial device based on a hybrid vanadium dioxide ( ... ...

    Abstract In this paper, an actively tunable and switchable multi-functional terahertz metamaterial device based on a hybrid vanadium dioxide (VO
    Language English
    Publishing date 2022-04-06
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476244-4
    ISSN 1463-9084 ; 1463-9076
    ISSN (online) 1463-9084
    ISSN 1463-9076
    DOI 10.1039/d1cp05594a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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