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  1. Artikel ; Online: Association between the triglyceride glucose (TyG) index and the risk of acute kidney injury in critically ill patients with heart failure: analysis of the MIMIC-IV database.

    Yang, Zewen / Gong, Hongxia / Kan, Fuqiang / Ji, Ningning

    Cardiovascular diabetology

    2023  Band 22, Heft 1, Seite(n) 232

    Abstract: Background: Insulin resistance (IR) can be effectively assessed using the dependable surrogate biomarker triglyceride-glucose (TyG) index. In various critical care contexts, like contrast-induced acute kidney injury (AKI), an elevated TyG index has ... ...

    Abstract Background: Insulin resistance (IR) can be effectively assessed using the dependable surrogate biomarker triglyceride-glucose (TyG) index. In various critical care contexts, like contrast-induced acute kidney injury (AKI), an elevated TyG index has demonstrated a robust correlation with the incidence of AKI. Nonetheless, the potential of the TyG index to predict AKI in critically ill patients with heart failure (HF) remains uncertain.
    Methods: A cohort of participants was non-consecutively selected from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and divided into quartiles based on their TyG index values. The incidence of AKI was the primary outcome. The secondary endpoint was in-hospital mortality within both the whole study population and the subset of AKI patients. The use of the renal replacement therapy (RRT) which represented the progression of AKI severity was also included as a secondary endpoint representing renal outcome. A restricted cubic splines model and Cox proportional hazards models were utilized to evaluate the association of TyG index with the risk of AKI in patients with HF in a critical condition. Kaplan-Meier survival analysis was employed to estimate primary and secondary endpoint disparities across groups differentiated by their TyG index.
    Results: This study included a total of 1,393 patients, with 59% being male. The incidence of AKI was 82.8%. Cox proportional hazards analyses revealed a significant association between TyG index and the incidence of AKI in critically ill patients with HF. The restricted cubic splines model illustrated the linear relationship between higher TyG index and increased risk of AKI in this specific patient population. Furthermore, the Kaplan-Meier survival analyses unveiled statistically significant differences in the use of RRT across the subset of AKI patients based on the quartiles of the TyG index.
    Conclusions: The results highlight the TyG index as a robust and independent predictor of the incidence of AKI and poor renal outcome in patients with HF in a critical condition. However, further confirmation of causality necessitates larger prospective studies.
    Mesh-Begriff(e) Humans ; Male ; Female ; Critical Illness ; Prospective Studies ; Acute Kidney Injury/diagnosis ; Acute Kidney Injury/epidemiology ; Acute Kidney Injury/therapy ; Heart Failure/diagnosis ; Heart Failure/epidemiology ; Heart Failure/therapy ; Critical Care ; Glucose
    Chemische Substanzen Glucose (IY9XDZ35W2)
    Sprache Englisch
    Erscheinungsdatum 2023-08-31
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2093769-6
    ISSN 1475-2840 ; 1475-2840
    ISSN (online) 1475-2840
    ISSN 1475-2840
    DOI 10.1186/s12933-023-01971-9
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Buch ; Online: Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning

    Dai, Xiaobing / Lederer, Armin / Yang, Zewen / Hirche, Sandra

    2023  

    Abstract: When the dynamics of systems are unknown, supervised machine learning techniques are commonly employed to infer models from data. Gaussian process (GP) regression is a particularly popular learning method for this purpose due to the existence of ... ...

    Abstract When the dynamics of systems are unknown, supervised machine learning techniques are commonly employed to infer models from data. Gaussian process (GP) regression is a particularly popular learning method for this purpose due to the existence of prediction error bounds. Moreover, GP models can be efficiently updated online, such that event-triggered online learning strategies can be pursued to ensure specified tracking accuracies. However, existing trigger conditions must be able to be evaluated at arbitrary times, which cannot be achieved in practice due to non-negligible computation times. Therefore, we first derive a delay-aware tracking error bound, which reveals an accuracy-delay trade-off. Based on this result, we propose a novel event trigger for GP-based online learning with computational delays, which we show to offer advantages over offline trained GP models for sufficiently small computation times. Finally, we demonstrate the effectiveness of the proposed event trigger for online learning in simulations.
    Schlagwörter Electrical Engineering and Systems Science - Systems and Control ; Computer Science - Machine Learning
    Thema/Rubrik (Code) 006
    Erscheinungsdatum 2023-05-14
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Buch ; Online: Cooperative Online Learning for Multi-Agent System Control via Gaussian Processes with Event-Triggered Mechanism

    Dai, Xiaobing / Yang, Zewen / Hirche, Sandra

    Extended Version

    2023  

    Abstract: In the realm of the cooperative control of multi-agent systems (MASs) with unknown dynamics, Gaussian process (GP) regression is widely used to infer the uncertainties due to its modeling flexibility of nonlinear functions and the existence of a ... ...

    Abstract In the realm of the cooperative control of multi-agent systems (MASs) with unknown dynamics, Gaussian process (GP) regression is widely used to infer the uncertainties due to its modeling flexibility of nonlinear functions and the existence of a theoretical prediction error bound. Online learning, which involves incorporating newly acquired training data into Gaussian process models, promises to improve control performance by enhancing predictions during the operation. Therefore, this paper investigates the online cooperative learning algorithm for MAS control. Moreover, an event-triggered data selection mechanism, inspired by the analysis of a centralized event-trigger, is introduced to reduce the model update frequency and enhance the data efficiency. With the proposed learning-based control, the practical convergence of the MAS is validated with guaranteed tracking performance via the Lynaponve theory. Furthermore, the exclusion of the Zeno behavior for individual agents is shown. Finally, the effectiveness of the proposed event-triggered online learning method is demonstrated in simulations.
    Schlagwörter Electrical Engineering and Systems Science - Systems and Control
    Thema/Rubrik (Code) 629
    Erscheinungsdatum 2023-04-11
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel: Imaging the intracellular refractive index distribution (IRID) for dynamic label-free living colon cancer cells via circularly depolarization decay model (CDDM).

    Wang, Huijun / Zhang, Lu / Huang, Jie / Yang, Zewen / Fan, Chen / Yuan, Li / Zhao, Hong / Zhang, Zhenxi / Liu, Xiaolong

    Biomedical optics express

    2024  Band 15, Heft 4, Seite(n) 2451–2465

    Abstract: Label-free detection of intracellular substances for living cancer cells remains a significant hurdle in cancer pathogenesis research. Although the sensitivity of light polarization to intracellular substances has been validated, current studies are ... ...

    Abstract Label-free detection of intracellular substances for living cancer cells remains a significant hurdle in cancer pathogenesis research. Although the sensitivity of light polarization to intracellular substances has been validated, current studies are predominantly focused on tissue lesions, thus label-free detection of substances within individual living cancer cells is still a challenge. The main difficulty is to find specific detection methods along with corresponding characteristic parameters. With refractive index as an endogenous marker of substances, this study proposes a detection method of intracellular refractive index distribution (IRID) for label-free living colon cancer (LoVo) cells. Utilizing the circular depolarization decay model (CDDM) to calculate the degree of circular polarization (
    Sprache Englisch
    Erscheinungsdatum 2024-03-15
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2572216-5
    ISSN 2156-7085
    ISSN 2156-7085
    DOI 10.1364/BOE.518957
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel: Alternating projection combined with fast gradient projection (FGP-AP) method for intensity-only measurement optical diffraction tomography in LED array microscopy.

    Yang, Zewen / Zhang, Lu / Liu, Tong / Wang, Huijun / Tang, Zhiyuan / Zhao, Hong / Yuan, Li / Zhang, Zhenxi / Liu, Xiaolong

    Biomedical optics express

    2024  Band 15, Heft 4, Seite(n) 2524–2542

    Abstract: Optical diffraction tomography (ODT) is a powerful label-free measurement tool that can quantitatively image the three-dimensional (3D) refractive index (RI) distribution of samples. However, the inherent "missing cone problem," limited illumination ... ...

    Abstract Optical diffraction tomography (ODT) is a powerful label-free measurement tool that can quantitatively image the three-dimensional (3D) refractive index (RI) distribution of samples. However, the inherent "missing cone problem," limited illumination angles, and dependence on intensity-only measurements in a simplified imaging setup can all lead to insufficient information mapping in the Fourier domain, affecting 3D reconstruction results. In this paper, we propose the alternating projection combined with the fast gradient projection (FGP-AP) method to compensate for the above problem, which effectively reconstructs the 3D RI distribution of samples using intensity-only images captured from LED array microscopy. The FGP-AP method employs the alternating projection (AP) algorithm for gradient descent and the fast gradient projection (FGP) algorithm for regularization constraints. This approach is equivalent to incorporating prior knowledge of sample non-negativity and smoothness into the 3D reconstruction process. Simulations demonstrate that the FGP-AP method improves reconstruction quality compared to the original AP method, particularly in the presence of noise. Experimental results, obtained from mouse kidney cells and label-free blood cells, further affirm the superior 3D imaging efficacy of the FGP-AP method.
    Sprache Englisch
    Erscheinungsdatum 2024-03-20
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2572216-5
    ISSN 2156-7085
    ISSN 2156-7085
    DOI 10.1364/BOE.518955
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: Adsorption Behavior of Dissolved Gas Molecules in Transformer Oil on Rh Modified GeSe Monolayer.

    Long, Yunfeng / Peng, Zhaoyu / Guo, Liang-Yan / He, Xiaohui / Zhu, Mengyao / Yang, Zewen / Liu, Taiwen

    ACS omega

    2024  Band 9, Heft 6, Seite(n) 7061–7068

    Abstract: Dissolved gas analysis in transformer oil is useful for detecting early transformer failures. The research on gas sensors for monitoring dissolved gas in transformer oil has attracted wide attention from academia and industry. In this study, Rh-doped ... ...

    Abstract Dissolved gas analysis in transformer oil is useful for detecting early transformer failures. The research on gas sensors for monitoring dissolved gas in transformer oil has attracted wide attention from academia and industry. In this study, Rh-doped GeSe monolayers were used as gas sensing materials based on the density functional theory (DFT). The potential of the Rh-GeSe monolayer as a gas sensor was evaluated by calculating the geometric structure, adsorption distance (
    Sprache Englisch
    Erscheinungsdatum 2024-01-31
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.3c09001
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Artikel ; Online: MicroRNA-499-5p promotes vascular smooth muscle cell proliferation and migration via inhibiting SOX6.

    Sheng, Yao / Yang, Zewen / Feng, Ziming / Wang, Yu / Ji, Ningning

    Physiological genomics

    2022  Band 55, Heft 2, Seite(n) 67–74

    Abstract: Atherosclerosis (AS) is the primary etiology of cardiovascular disease, which is considered the leading cause of death all over the world. MicroRNA miR-499-5p was involved in the functional regulation of myocardial and skeletal muscle, whereas its role ... ...

    Abstract Atherosclerosis (AS) is the primary etiology of cardiovascular disease, which is considered the leading cause of death all over the world. MicroRNA miR-499-5p was involved in the functional regulation of myocardial and skeletal muscle, whereas its role in atherosclerosis, especially in vascular smooth muscle cells (VSMCs), remains unclear. Our study aims to investigate the effects of miR-499-5p in the proliferation and migration of VSMCs and potential mechanisms. We used mouse aortic vascular smooth muscle cells (MOVAS) and
    Mesh-Begriff(e) Mice ; Animals ; MicroRNAs/metabolism ; Muscle, Smooth, Vascular/metabolism ; Atherosclerosis/metabolism ; Cell Proliferation/genetics ; Aorta/metabolism ; Myocytes, Smooth Muscle/metabolism ; Cell Movement/genetics ; Cells, Cultured
    Chemische Substanzen MicroRNAs
    Sprache Englisch
    Erscheinungsdatum 2022-10-17
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2038823-8
    ISSN 1531-2267 ; 1094-8341
    ISSN (online) 1531-2267
    ISSN 1094-8341
    DOI 10.1152/physiolgenomics.00165.2021
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Dissertation / Habilitation ; Online: Performance of two potato planting structures within a diverse cropping system in the Netherlands

    Yang, Zewen

    2015  

    Abstract: A study was carried out at the Droevendaal organic farm in Wageningen to investigate the differences of two planting structure systems (potato variety mixture and non-mixture) and the effects of each system on crop performance. Overall, potato variety ... ...

    Abstract A study was carried out at the Droevendaal organic farm in Wageningen to investigate the differences of two planting structure systems (potato variety mixture and non-mixture) and the effects of each system on crop performance. Overall, potato variety mixture system performed better than potato variety non-mixture system.
    Schlagwörter "Organics" in general
    Erscheinungsland dk
    Dokumenttyp Dissertation / Habilitation ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Label-free biological sample detection and non-contact separation system based on microfluidic chip.

    Lv, Ning / Zhang, Lu / Yang, Zewen / Wang, Huijun / Yang, Nan / Li, Hao

    The Review of scientific instruments

    2022  Band 93, Heft 6, Seite(n) 63104

    Abstract: The detection and separation of biological samples are of great significance for achieving accurate diagnoses and state assessments. Currently, the detection and separation of cells mostly adopt labeling methods, which will undoubtedly affect the ... ...

    Abstract The detection and separation of biological samples are of great significance for achieving accurate diagnoses and state assessments. Currently, the detection and separation of cells mostly adopt labeling methods, which will undoubtedly affect the original physiological state and functions of cells. Therefore, in this study, a label-free cell detection method based on microfluidic chips is proposed. By measuring the scattering of cells to identify cells and then using optical tweezers to separate the target cells, the whole process without any labeling and physical contact could realize automatic cell identification and separation. Different concentrations of 15 µm polystyrene microspheres and yeast mixed solution are used as samples for detection and separation. The detection accuracy is over 90%, and the separation accuracy is over 73%.
    Mesh-Begriff(e) Microfluidics/methods ; Optical Tweezers ; Polystyrenes
    Chemische Substanzen Polystyrenes
    Sprache Englisch
    Erscheinungsdatum 2022-04-05
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 209865-9
    ISSN 1089-7623 ; 0034-6748
    ISSN (online) 1089-7623
    ISSN 0034-6748
    DOI 10.1063/5.0086109
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  10. Artikel: LED array microscopy system correction method with comprehensive error parameters optimized by phase smoothing criterion.

    Yang, Zewen / Zhang, Lu / Liu, Tong / Wu, Haoyu / Tang, Zhiyuan / Fan, Chen / Liu, Xiaolong / Zhang, Zhenxi / Zhao, Hong

    Biomedical optics express

    2023  Band 14, Heft 9, Seite(n) 4696–4712

    Abstract: LED array microscopy is a novel computational imaging technique that can achieve two-dimensional (2D) phase imaging and three-dimensional (3D) refractive index imaging with both high resolution and a large field of view. Although its experimental setup ... ...

    Abstract LED array microscopy is a novel computational imaging technique that can achieve two-dimensional (2D) phase imaging and three-dimensional (3D) refractive index imaging with both high resolution and a large field of view. Although its experimental setup is simple, the errors caused by LED array position and light source central wavelength obviously decrease the quality of reconstructed results. To solve this problem, comprehensive error parameters optimized by the phase smoothing criterion are put forward in this paper. The central wavelength error and 3D misalignment model with six freedom degree errors of LED array are considered as the comprehensive error parameters when the spatial positional and optical features of arbitrarily placed LED array are unknown. Phase smoothing criterion is also introduced to the cost function for optimizing comprehensive error parameters to improve the convergence results. Compared with current system correction methods, the simulation and experimental results show that the proposed method in this paper has the best reconstruction accuracy, which can be well applied to an LED array microscope system with unknown positional and optical features of the LED array.
    Sprache Englisch
    Erscheinungsdatum 2023-08-14
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2572216-5
    ISSN 2156-7085
    ISSN 2156-7085
    DOI 10.1364/BOE.497681
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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