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  1. Artikel ; Online: Viscoelastic Response in Hydrous Polymers: The Role of Hydrogen Bonds and Microstructure.

    Chen, Wenbo / Biehl, Philip / Huang, Caoxing / Zhang, Kai

    Nano letters

    2024  Band 24, Heft 12, Seite(n) 3811–3818

    Abstract: Water responsive polymers represent a remarkable group of soft materials, acting as a laboratory for diverse water responsive physical phenomena and cutting-edge biology-electronics interfaces. We report on peculiarly distinctive viscoelastic behaviors ... ...

    Abstract Water responsive polymers represent a remarkable group of soft materials, acting as a laboratory for diverse water responsive physical phenomena and cutting-edge biology-electronics interfaces. We report on peculiarly distinctive viscoelastic behaviors of the biobased water responsive polymer cellulose 10-undecenoyl ester, while biobased regenerated cellulose displays stronger hydroplastic behaviors. We discovered a novel hydrous deformation mechanism involving the stretching of hydrogen bonds mediated by hydroxyl groups and water molecules, serving as a crucial factor in accommodating deformations. In parallel, the microstructure of cellulose 10-undecenoyl ester with unique coexisting nanoparticles and a continuous phase of entangled chains is mechanically resilient in the anhydrous state but enhances structural stiffness in the hydrous state. This variation arises from a different hydration level within the hydrous microstructure. Such a fundamental discovery offers valuable insights into the connection between the microscopic physical properties that can be influenced by water and the corresponding viscoelastic responses, extending its applicability to a wide range of hygroscopic materials.
    Sprache Englisch
    Erscheinungsdatum 2024-03-12
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 1530-6992
    ISSN (online) 1530-6992
    DOI 10.1021/acs.nanolett.4c00556
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  2. Artikel ; Online: UCP2 overexpression activates SIRT3 to regulate oxidative stress and mitochondrial dynamics induced by myocardial injury.

    Geng, Zhengguang / Chen, Wenbo / Lu, Qinju / Fu, Bao / Fu, Xiaoyun

    Archives of biochemistry and biophysics

    2024  Band 753, Seite(n) 109918

    Abstract: Objective: Our previous study found that overexpression of uncoupling protein-2 (UCP2) had a protective effect on lipopolysaccharide (LPS)-induced sepsis cardiomyocytes. The aim of this study was to explore the effect and mechanism of uncoupling protein- ...

    Abstract Objective: Our previous study found that overexpression of uncoupling protein-2 (UCP2) had a protective effect on lipopolysaccharide (LPS)-induced sepsis cardiomyocytes. The aim of this study was to explore the effect and mechanism of uncoupling protein-2 (UCP2) on myocardial ischemia-reperfusion injury.
    Methods: In this study, we established hypoxia-reoxygenation (HR) injury model in rats and isolated cardiomyocytes of newborn rats. We also carried out following methods which include virus transfection technology, cell counting Kit-8 (CCK8), flow cytometry, enzyme linked immunosorbent assay (ELISA), Western blot (WB), quantitative reverse transcription PCR (RT qPCR), transmission electron microscopy, fluorescence colocalization and immunoprecipitation.
    Main results: The results of this study showed that hypoxia-reoxygenation treatment in cardiomyocytes increased UCP2, myocardial enzyme and myocardial apoptosis and weakened cardiomyocyte viability. We observed increased cardiomyocyte viability and mitochondrial membrane potential, decreased myocardial enzyme and myocardial apoptosis, Inhibition of oxidative stress when UCP2 was overexpressed in cardiomyocytes. It also can Increase ATP and stabilize mitochondrial dynamics. Further studies founded that Sirtuin-3(SIRT3) changed with the expression of UCP2, which was confirmed by fluorescence co-localization and immunoprecipitation.
    Conclusions: Our findings revealed that UCP2 and SIRT3 were important targets of anti-myocardial injury by inhibiting cellular oxidative stress and stabilizing mitochondrial dynamics.
    Mesh-Begriff(e) Animals ; Rats ; Hypoxia ; Mitochondrial Dynamics ; Oxidative Stress ; Sirtuin 3/genetics ; Sirtuin 3/metabolism ; Uncoupling Protein 2/genetics ; Uncoupling Protein 2/metabolism
    Chemische Substanzen Sirtuin 3 (EC 3.5.1.-) ; Uncoupling Protein 2 ; SIRT3 protein, rat ; Ucp2 protein, rat
    Sprache Englisch
    Erscheinungsdatum 2024-01-30
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 523-x
    ISSN 1096-0384 ; 0003-9861
    ISSN (online) 1096-0384
    ISSN 0003-9861
    DOI 10.1016/j.abb.2024.109918
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  3. Artikel: Applications of single-cell RNA sequencing in spermatogenesis and molecular evolution.

    Chen, Wen-Bo / Zhang, Meng-Fei / Yang, Fan / Hua, Jin-Lian

    Zoological research

    2024  Band 45, Heft 3, Seite(n) 575–585

    Abstract: Spermatogenic cell heterogeneity is determined by the complex process of spermatogenesis differentiation. However, effectively revealing the regulatory mechanisms underlying mammalian spermatogenic cell development and differentiation via traditional ... ...

    Abstract Spermatogenic cell heterogeneity is determined by the complex process of spermatogenesis differentiation. However, effectively revealing the regulatory mechanisms underlying mammalian spermatogenic cell development and differentiation via traditional methods is difficult. Advances in technology have led to the emergence of many single-cell transcriptome sequencing protocols, which have partially addressed these challenges. In this review, we detail the principles of 10x Genomics technology and summarize the methods for downstream analysis of single-cell transcriptome sequencing data. Furthermore, we explore the role of single-cell transcriptome sequencing in revealing the heterogeneity of testicular ecological niche cells, delineating the establishment and disruption of testicular immune homeostasis during human spermatogenesis, investigating abnormal spermatogenesis in humans, and, ultimately, elucidating the molecular evolution of mammalian spermatogenesis.
    Mesh-Begriff(e) Spermatogenesis/genetics ; Animals ; Single-Cell Analysis/methods ; Male ; Evolution, Molecular ; Sequence Analysis, RNA/methods ; Humans ; Transcriptome ; Testis
    Sprache Englisch
    Erscheinungsdatum 2024-05-15
    Erscheinungsland China
    Dokumenttyp Journal Article ; Review
    ISSN 2095-8137
    ISSN 2095-8137
    DOI 10.24272/j.issn.2095-8137.2024.010
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  4. Buch ; Online: Coupling relationship between soil properties and plant diversity under different ecological restoration patterns in the abandoned coal mine area of southern China

    Li, Hao / Chen, Wenbo / Zhang, Cheng / Liang, Haifen

    eISSN:

    2024  

    Abstract: Understanding the effects of ecological restoration in abandoned coal mine on soil and plant is important to improve the knowledge of ecosystems evolution and facilitate taking appropriate ecological restoration management practices. This study aims to ... ...

    Abstract Understanding the effects of ecological restoration in abandoned coal mine on soil and plant is important to improve the knowledge of ecosystems evolution and facilitate taking appropriate ecological restoration management practices. This study aims to evaluate the coupling relationship between plant diversity and soil properties after ecological restoration in abandoned coal mine area. The plant diversity and soil properties were investigated in four sites of different ecological restoration patterns in Fengcheng county, a typical coal- rich area in the history of southern China. The results indicated that: 1) the PSR ( Pinus massoniana and Schima superba gardn restoration) site had higher Shannon-Wiener index and Simpson index values than PR ( Pinus massoniana restoration) site, and in herb layer, the plant diversity was significantly higher than other layers; 2) in the PSR site, the soil properties were improved more notably than that of PR and NR (nature restoration) sites, and the plant diversity were also better than PR site; 3) Clay, SOM (soil organic matter), and MBC (microbial biomass carbon) made a great contribution to the plant diversity. It was concluded ecological restoration patterns had significant effects on soil nutrient content and plant diversity, and there exists evident coupling relationship between plant diversity and soil properties. This study has important effects of ecological restoration and management in abandoned coal mine area.
    Thema/Rubrik (Code) 580
    Sprache Englisch
    Erscheinungsdatum 2024-02-29
    Erscheinungsland de
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: Rapid identification of Radix Astragali origin by using fluorescence probe combined with chemometrics.

    Li, Fang / Yin, Chunling / Lv, Kaidi / Chen, Wenbo / Zhao, Liuchuang / Liu, Zhimin / Hu, Leqian

    Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

    2024  Band 312, Seite(n) 124080

    Abstract: Fluorescent probes for metal ion recognition can be divided into selective probes, weakly selective probes, and non-selective probes roughly. Weakly selective probes are not often used for quantitative analysis of metal ions due to their overlapping ... ...

    Abstract Fluorescent probes for metal ion recognition can be divided into selective probes, weakly selective probes, and non-selective probes roughly. Weakly selective probes are not often used for quantitative analysis of metal ions due to their overlapping spectra resulting from simultaneous interactions with multiple metal ions. Conversely, the different metal ions contained in herbal medicine extracts from different geographical origins will produce corresponding fluorescence fingerprint profiles after interaction with weakly selective fluorescence probes. The performance can be used in the study of origin tracing of food or Chinese herbal medicine. Weakly selective fluorescent probes of benzimidazole derivatives have been synthesized and attempted to be used in the origin tracing of Radix Astragali in this work. Radix Astragali from different origins will produce different fluorescence fingerprint spectra due to the difference of metal ions and content in combination with the probe. Excitation-emission matrix (EEM) fluorescence spectroscopy in conjunction with N-way partial least squares discriminant analysis (N-PLS-DA), and unfolded partial least squares discriminant analysis (U-PLS-DA) were used to identify the origin of 150 Radix Astragali samples from five geographical origins. The prediction results showed that the correct recognition rates of the U-PLS-DA model and N-PLS-DA model are 95.92% and 93.88%, respectively. In comparison, the results of U-PLS-DA are slightly better than those of N-PLS-DA. These findings indicate that EEM fluorescence spectroscopy based on weakly selective fluorescent probes combined with multi-way chemometrics provides a good idea for the origin tracing of traditional Chinese medicine.
    Mesh-Begriff(e) Drugs, Chinese Herbal/chemistry ; Fluorescent Dyes ; Chemometrics ; Least-Squares Analysis ; Ions ; Astragalus propinquus
    Chemische Substanzen Huang Qi (922OP8YUPF) ; Drugs, Chinese Herbal ; Fluorescent Dyes ; Ions
    Sprache Englisch
    Erscheinungsdatum 2024-02-24
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 210413-1
    ISSN 1873-3557 ; 0370-8322 ; 0584-8539 ; 1386-1425
    ISSN (online) 1873-3557
    ISSN 0370-8322 ; 0584-8539 ; 1386-1425
    DOI 10.1016/j.saa.2024.124080
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    Verfügbar in ZB MED Bonn

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  6. Artikel ; Online: Development and Validation of a Nomogram for Predicting Nutritional Risk Based on Frailty Scores in Older Stroke Patients.

    Liu, Lei / He, Chunyu / Yang, Jiaxin / Chen, Wenbo / Xie, Yan / Chen, Xiaofang

    Aging clinical and experimental research

    2024  Band 36, Heft 1, Seite(n) 112

    Abstract: Background: In older stroke patients with frailty, nutritional deficiencies can amplify their susceptibility, delay recovery, and deteriorate prognosis. A precise predictive model is crucial to assess their nutritional risk, enabling targeted ... ...

    Abstract Background: In older stroke patients with frailty, nutritional deficiencies can amplify their susceptibility, delay recovery, and deteriorate prognosis. A precise predictive model is crucial to assess their nutritional risk, enabling targeted interventions for improved clinical outcomes.
    Objective: To develop and externally validate a nutritional risk prediction model integrating general demographics, physical parameters, psychological indicators, and biochemical markers. The aim is to facilitate the early identification of older stroke patients requiring nutritional intervention.
    Methods: This was a multicenter cross-sectional study. A total of 570 stroke patients were included, 434 as the modeling set and 136 as the external validation set. The least absolute shrinkage selection operator (LASSO) regression analysis was used to select the predictor variables. Internal validation was performed using Bootstrap resampling (1000 iterations). The nomogram was constructed based on the results of logistic regression. The performance assessment relied on the receiver operating characteristic curve (ROC), Hosmer--Lemeshow test, calibration curves, Brier score, and decision curve analysis (DCA).
    Results: The predictive nomogram encompassed seven pivotal variables: Activities of Daily Living (ADL), NIHSS score, diabetes, Body Mass Index (BMI), grip strength, serum albumin levels, and depression. Together, these variables comprehensively evaluate the overall health and nutritional status of elderly stroke patients, facilitating accurate assessment of their nutritional risk. The model exhibited excellent accuracy in both the development and external validation sets, evidenced by AUC values of 0.934 and 0.887, respectively. Such performance highlights its efficacy in pinpointing elderly stroke patients who require nutritional intervention. Moreover, the model showed robust goodness of fit and practical applicability, providing essential clinical insights to improve recovery and prognosis for patients prone to malnutrition.
    Conclusions: Elderly individuals recovering from stroke often experience significant nutritional deficiencies. The nomogram we devised accurately assesses this risk by combining physiological, psychological, and biochemical metrics. It equips healthcare providers with the means to actively screen for and manage the nutritional care of these patients. This tool is instrumental in swiftly identifying those in urgent need of targeted nutritional support, which is essential for optimizing their recovery and managing their nutrition more effectively.
    Mesh-Begriff(e) Humans ; Aged ; Male ; Nomograms ; Female ; Stroke/complications ; Aged, 80 and over ; Cross-Sectional Studies ; Nutritional Status ; Frailty ; Geriatric Assessment/methods ; Activities of Daily Living ; Nutrition Assessment ; Risk Assessment/methods ; Risk Factors ; Frail Elderly ; Malnutrition/diagnosis
    Sprache Englisch
    Erscheinungsdatum 2024-05-18
    Erscheinungsland Germany
    Dokumenttyp Journal Article ; Multicenter Study ; Validation Study
    ZDB-ID 2104785-6
    ISSN 1720-8319 ; 1594-0667
    ISSN (online) 1720-8319
    ISSN 1594-0667
    DOI 10.1007/s40520-023-02689-0
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    Zs.A 3343: Hefte anzeigen Standort:
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  7. Artikel ; Online: The effects of surface vegetation coverage on the spatial distribution of PM

    Chen, Wenbo / Zhang, Fuqing / Shang, Xue / Zhang, Tongyue / Guan, Feiying

    Environmental science and pollution research international

    2023  Band 30, Heft 60, Seite(n) 125977–125990

    Abstract: The frequent occurrence of haze has caused widespread concern in China, and ... ...

    Abstract The frequent occurrence of haze has caused widespread concern in China, and PM
    Mesh-Begriff(e) Air Pollutants/analysis ; Particulate Matter/analysis ; Air Pollution/analysis ; Environmental Monitoring/methods ; China
    Chemische Substanzen Air Pollutants ; Particulate Matter
    Sprache Englisch
    Erscheinungsdatum 2023-11-27
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-31031-4
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    Verfügbar in ZB MED Bonn

    Z 5915: Hefte anzeigen

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  8. Buch ; Online: Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling

    Lu, Jiawei / Ye, Tinghan / Chen, Wenbo / Van Hentenryck, Pascal

    2024  

    Abstract: Optimizing service schedules is pivotal to the reliable, efficient, and inclusive on-demand mobility. This pressing challenge is further exacerbated by the increasing needs of an aging population, the over-subscription of existing services, and the lack ... ...

    Abstract Optimizing service schedules is pivotal to the reliable, efficient, and inclusive on-demand mobility. This pressing challenge is further exacerbated by the increasing needs of an aging population, the over-subscription of existing services, and the lack of effective solution methods. This study addresses the intricacies of service scheduling, by jointly optimizing rider trip planning and crew scheduling for a complex dynamic mobility service. The resulting optimization problems are extremely challenging computationally for state-of-the-art methods. To address this fundamental gap, this paper introduces the Joint Rider Trip Planning and Crew Shift Scheduling Problem (JRTPCSSP) and a novel solution method, called AGGNNI-CG (Attention and Gated GNN- Informed Column Generation), that hybridizes column generation and machine learning to obtain near-optimal solutions to the JRTPCSSP with the real-time constraints of the application. The key idea of the machine-learning component is to dramatically reduce the number of paths to explore in the pricing component, accelerating the most time-consuming component of the column generation. The machine learning component is a graph neural network with an attention mechanism and a gated architecture, that is particularly suited to cater for the different input sizes coming from daily operations. AGGNNI-CG has been applied to a challenging, real-world dataset from the Paratransit system of Chatham County in Georgia. It produces dramatic improvements compared to the baseline column generation approach, which typically cannot produce feasible solutions in reasonable time on both medium-sized and large-scale complex instances. AGGNNI-CG also produces significant improvements in service compared to the existing system.
    Schlagwörter Mathematics - Optimization and Control ; Computer Science - Machine Learning
    Thema/Rubrik (Code) 670
    Erscheinungsdatum 2024-01-08
    Erscheinungsland us
    Dokumenttyp Buch ; Online
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  9. Artikel ; Online: Structure of RyR1 in native membranes.

    Chen, Wenbo / Kudryashev, Mikhail

    EMBO reports

    2020  Band 21, Heft 5, Seite(n) e49891

    Abstract: Ryanodine receptor 1 (RyR1) mediates excitation-contraction coupling by releasing ... ...

    Abstract Ryanodine receptor 1 (RyR1) mediates excitation-contraction coupling by releasing Ca
    Mesh-Begriff(e) Animals ; Calcium/metabolism ; Cytoplasm/metabolism ; Muscle Fibers, Skeletal/metabolism ; Muscle, Skeletal/metabolism ; Rabbits ; Ryanodine Receptor Calcium Release Channel/genetics ; Sarcoplasmic Reticulum/metabolism
    Chemische Substanzen Ryanodine Receptor Calcium Release Channel ; Calcium (SY7Q814VUP)
    Sprache Englisch
    Erscheinungsdatum 2020-03-09
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2020896-0
    ISSN 1469-3178 ; 1469-221X
    ISSN (online) 1469-3178
    ISSN 1469-221X
    DOI 10.15252/embr.201949891
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    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 5433: Hefte anzeigen Standort:
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    Zs.MG 41: Hefte anzeigen

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  10. Buch ; Online: Two-Stage Learning For the Flexible Job Shop Scheduling Problem

    Chen, Wenbo / Khir, Reem / Van Hentenryck, Pascal

    2023  

    Abstract: The Flexible Job-shop Scheduling Problem (FJSP) is an important combinatorial optimization problem that arises in manufacturing and service settings. FJSP is composed of two subproblems, an assignment problem that assigns tasks to machines, and a ... ...

    Abstract The Flexible Job-shop Scheduling Problem (FJSP) is an important combinatorial optimization problem that arises in manufacturing and service settings. FJSP is composed of two subproblems, an assignment problem that assigns tasks to machines, and a scheduling problem that determines the starting times of tasks on their chosen machines. Solving FJSP instances of realistic size and composition is an ongoing challenge even under simplified, deterministic assumptions. Motivated by the inevitable randomness and uncertainties in supply chains, manufacturing, and service operations, this paper investigates the potential of using a deep learning framework to generate fast and accurate approximations for FJSP. In particular, this paper proposes a two-stage learning framework 2SLFJSP that explicitly models the hierarchical nature of FJSP decisions, uses a confidence-aware branching scheme to generate appropriate instances for the scheduling stage from the assignment predictions and leverages a novel symmetry-breaking formulation to improve learnability. 2SL-FJSP is evaluated on instances from the FJSP benchmark library. Results show that 2SL-FJSP can generate high-quality solutions in milliseconds, outperforming a state-of-the-art reinforcement learning approach recently proposed in the literature, and other heuristics commonly used in practice.
    Schlagwörter Computer Science - Artificial Intelligence ; Computer Science - Machine Learning
    Thema/Rubrik (Code) 006
    Erscheinungsdatum 2023-01-23
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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