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

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

Nano letters

2024 Volume 24, Issue 12, Page(s) 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.
Language	English
Publishing date	2024-03-12
Publishing country	United States
Document type	Journal Article
ISSN	1530-6992
ISSN (online)	1530-6992
DOI	10.1021/acs.nanolett.4c00556
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Article ; 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 Volume 753, Page(s) 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 term(s)	Animals ; Rats ; Hypoxia ; Mitochondrial Dynamics ; Oxidative Stress ; Sirtuin 3/genetics ; Sirtuin 3/metabolism ; Uncoupling Protein 2/genetics ; Uncoupling Protein 2/metabolism
Chemical Substances	Sirtuin 3 (EC 3.5.1.-) ; Uncoupling Protein 2 ; SIRT3 protein, rat ; Ucp2 protein, rat
Language	English
Publishing date	2024-01-30
Publishing country	United States
Document type	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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Book ; 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.
Subject code	580
Language	English
Publishing date	2024-02-29
Publishing country	de
Document type	Book ; Online
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Article ; 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 Volume 312, Page(s) 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 term(s)	Drugs, Chinese Herbal/chemistry ; Fluorescent Dyes ; Chemometrics ; Least-Squares Analysis ; Ions ; Astragalus propinquus
Chemical Substances	Huang Qi (922OP8YUPF) ; Drugs, Chinese Herbal ; Fluorescent Dyes ; Ions
Language	English
Publishing date	2024-02-24
Publishing country	England
Document type	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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Article ; 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 Volume 30, Issue 60, Page(s) 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 term(s)	Air Pollutants/analysis ; Particulate Matter/analysis ; Air Pollution/analysis ; Environmental Monitoring/methods ; China
Chemical Substances	Air Pollutants ; Particulate Matter
Language	English
Publishing date	2023-11-27
Publishing country	Germany
Document type	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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Book ; 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.
Keywords	Mathematics - Optimization and Control ; Computer Science - Machine Learning
Subject code	670
Publishing date	2024-01-08
Publishing country	us
Document type	Book ; Online
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Article ; Online: Structure of RyR1 in native membranes.

Chen, Wenbo / Kudryashev, Mikhail

EMBO reports

2020 Volume 21, Issue 5, Page(s) 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 term(s)	Animals ; Calcium/metabolism ; Cytoplasm/metabolism ; Muscle Fibers, Skeletal/metabolism ; Muscle, Skeletal/metabolism ; Rabbits ; Ryanodine Receptor Calcium Release Channel/genetics ; Sarcoplasmic Reticulum/metabolism
Chemical Substances	Ryanodine Receptor Calcium Release Channel ; Calcium (SY7Q814VUP)
Language	English
Publishing date	2020-03-09
Publishing country	England
Document type	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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Book ; 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.
Keywords	Computer Science - Artificial Intelligence ; Computer Science - Machine Learning
Subject code	006
Publishing date	2023-01-23
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch

Chen, Wenbo / Tanneau, Mathieu / Van Hentenryck, Pascal

2023

Abstract: The paper proposes a novel End-to-End Learning and Repair (E2ELR) architecture for training optimization proxies for economic dispatch problems. E2ELR combines deep neural networks with closed-form, differentiable repair layers, thereby integrating ... ...

Abstract	The paper proposes a novel End-to-End Learning and Repair (E2ELR) architecture for training optimization proxies for economic dispatch problems. E2ELR combines deep neural networks with closed-form, differentiable repair layers, thereby integrating learning and feasibility in an end-to-end fashion. E2ELR is also trained with self-supervised learning, removing the need for labeled data and the solving of numerous optimization problems offline. E2ELR is evaluated on industry-size power grids with tens of thousands of buses using an economic dispatch that co-optimizes energy and reserves. The results demonstrate that the self-supervised E2ELR achieves state-of-the-art performance, with optimality gaps that outperform other baselines by at least an order of magnitude.
Keywords	Mathematics - Optimization and Control ; Computer Science - Machine Learning
Publishing date	2023-04-23
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Dynamic simulation of functional connectivity and identification of conservation priorities for grassland in China's Poyang Lake considering ecological processes

Zhang, Cheng / Chen, Wenbo / Huang, Fangfang / He, Lei / Li, Haifeng

Ecological Indicators. 2023 May, v. 149 p.110163-

2023

Abstract: Analysing dynamics of landscape functional connectivity and evaluating conservation priority of habitat patches are of great significance for biodiversity conservation. Taking the grassland of Poyang Lake as a case, and comprehensively considering the ... ...

Abstract	Analysing dynamics of landscape functional connectivity and evaluating conservation priority of habitat patches are of great significance for biodiversity conservation. Taking the grassland of Poyang Lake as a case, and comprehensively considering the ecological processes of water level change and species dispersal, this study firstly identified the range and patch composition of grassland under different water levels. Then, the graph theoretical approach was applied to analyse the dynamics of functional connectivity of grassland with different water levels and dispersal distances. Finally, the delta value for probability of connectivity (dPC) and betweenness connectivity (BC) were respectively used to identify the most important grassland patches and key grassland nodes. The results showed as follows: (1) The grassland presented the characteristics of "expanding when water falls while shrinking when water rises". The grassland patches faced both the segmentation effect and the inundation effect of water. With the increase of water level, the distribution of grassland was gradually shrinking, the distribution of grassland decreased from 1813.61 km² at the water level of 7.54 m to 182.36 km² at the water level of 17.17 m, and the fragmentation of large patches and the disappearance of small patches coexisted. (2) From the perspective of water level change, the functional connectivity of grassland has progressively decreased with the increase of water level. From the perspective of species dispersal, the species dispersal distance had an absolutely positive impact on landscape functional connectivity. With the increase of dispersal distance, the functional connectivity of grassland increased dramatically. (3) The 124 important grassland patches were identified and mapped. They were all larger ones in area and primarily distributed in the center of Poyang Lake, especially concentrated in the two national nature reserves. The 16 key grassland nodes were determined and mapped. They were very small in size and mainly scattered in the central and southern margin of Poyang Lake. Giant patches and large patches play an extremely vital role in maintaining the grassland connectivity. However, small patches in pivotal locations can not be ignored as stepping stones or connecting elements. Our study provides a scientific reference for the protection and management of natural habitats in lake areas.
Keywords	biodiversity conservation ; grasslands ; habitats ; lakes ; landscapes ; probability ; species dispersal ; China ; Poyang Lake ; Grassland ; Functional connectivity ; Ecological process ; Important patches ; Key nodes
Language	English
Dates of publication	2023-05
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Use and reproduction
ZDB-ID	2036774-0
ISSN	1872-7034 ; 1470-160X
ISSN (online)	1872-7034
ISSN	1470-160X
DOI	10.1016/j.ecolind.2023.110163
Database	NAL-Catalogue (AGRICOLA)

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