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  1. Artikel ; Online: Adsorption Characteristics of CO

    Xing, Wanli / Liu, Yifan / Zhang, Wanli

    ACS omega

    2020  Band 5, Heft 19, Seite(n) 11138–11146

    Abstract: We present the adsorption data of ... ...

    Abstract We present the adsorption data of CO
    Sprache Englisch
    Erscheinungsdatum 2020-05-06
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.0c01083
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Adsorption Characteristics of CO2/CH4/N2 Ternary Mixtures on Anthracite from 293.15 to 353.15 K and Pressures Up to 7 MPa

    Wanli Xing / Yifan Liu / Wanli Zhang

    ACS Omega, Vol 5, Iss 19, Pp 11138-

    2020  Band 11146

    Schlagwörter Chemistry ; QD1-999
    Sprache Englisch
    Erscheinungsdatum 2020-05-01T00:00:00Z
    Verlag American Chemical Society
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel: The causality between obstructive sleep apnea and ventricular structure and function: a bidirectional Mendelian randomization study.

    Sun, Wanli / Yang, Fan / Yang, Yiyuan / Su, Xin / Xing, Yanwei

    Frontiers in genetics

    2023  Band 14, Seite(n) 1266869

    Abstract: Background: ...

    Abstract Background:
    Sprache Englisch
    Erscheinungsdatum 2023-10-10
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2023.1266869
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: A Biomedical Relation Extraction Method Based on Graph Convolutional Network with Dependency Information Fusion

    Wanli Yang / Linlin Xing / Longbo Zhang / Hongzhen Cai / Maozu Guo

    Applied Sciences, Vol 13, Iss 10055, p

    2023  Band 10055

    Abstract: Biomedical texts are relatively obscure in describing relations between specialized entities, and the automatic extraction of drug–drug or drug–disease relations from massive biomedical texts presents a challenge faced by many researchers. To this end, ... ...

    Abstract Biomedical texts are relatively obscure in describing relations between specialized entities, and the automatic extraction of drug–drug or drug–disease relations from massive biomedical texts presents a challenge faced by many researchers. To this end, this paper designs a relation extraction method based on dependency information fusion to improve the predictive power of the model for the relations between given biomedical entities. Firstly, we propose a local–global pruning strategy for the dependency syntax tree. Next, we propose the construction of a dependency type matrix for the pruned dependency tree to incorporate sentence dependency information into the model to feature extraction. We then incorporate attention mechanism into the graph convolutional model by calculating the attention weights of word–word dependencies, thus improving the traditional graph convolutional network. The model distinguishes the importance of different dependency information by attention weights, thus weakening the influence of interfering information such as word-to-word dependencies that are unrelated to entities in long sentences. In this paper, our proposed Dependency Information Fusion Attention Graph Convolutional Network (DIF-A-GCN) is evaluated on two biomedical datasets, DDI and CIVIC. The experimental results show that our proposed method based on dependency information fusion outperforms current state-of-the-art biomedical relation extraction models.
    Schlagwörter biomedical relation extraction ; dependency syntax tree ; pruning strategy ; dependency information fusion ; graph convolutional network ; attention mechanism ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Thema/Rubrik (Code) 400
    Sprache Englisch
    Erscheinungsdatum 2023-09-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel: Links between carbon/nitrogen ratio, synergy and microbial characteristics of long-term semi-continuous anaerobic co-digestion of food waste, cattle manure and corn straw

    Zhang, Wanli / Kong, Tianqi / Xing, Wanli / Li, Rundong / Yang, Tianhua / Yao, Nan / Lv, Dan

    Bioresource technology. 2022 Jan., v. 343

    2022  

    Abstract: Links between carbon/nitrogen (C/N) ratio, synergy and microbial characteristics of anaerobic co-digestion of food waste (FW), cattle manure (CS) and corn straw (CS) were investigated. Digesters with 100% CS, 25% FW + 75% CS, 25% CM + 75% CS suffered ... ...

    Abstract Links between carbon/nitrogen (C/N) ratio, synergy and microbial characteristics of anaerobic co-digestion of food waste (FW), cattle manure (CS) and corn straw (CS) were investigated. Digesters with 100% CS, 25% FW + 75% CS, 25% CM + 75% CS suffered acid inhibition, in close association with unbalanced C/N and the resulting recessions of Syntrophomonadaceae and Methanosaeta. Co-digestion overcame C/N imbalance and achieved multiple synergies. Process performance had a positive correlation with Syntrophomonadaceae. Digester with 75% FW + 25% CS had most Syntrophomonadaceae (26.7%) and methane yield (467.3–507.6 mL/g VS) among co-digestion trials. Synergy was greater under higher load and exhibited a good correlation with C/N ratio. Co-digestion of FW, CM and CS (2:2:1) with suitable C/N ratio (20.79) obtained the greatest synergistic rate (14.6%). Unstable systems were improved by adjusting C/N ratio to 30 via urea, which stimulated Methanosarcina growth therefore enhanced methanogenic pathway diversity and ensured powerful methanogenic functions.
    Schlagwörter Methanosaeta ; Methanosarcina ; Syntrophomonadaceae ; anaerobic digestion ; carbon ; cattle manure ; corn straw ; food waste ; methane production ; methanogens ; nitrogen ; urea
    Sprache Englisch
    Erscheinungsverlauf 2022-01
    Erscheinungsort Elsevier Ltd
    Dokumenttyp Artikel
    ZDB-ID 1065195-0
    ISSN 1873-2976 ; 0960-8524
    ISSN (online) 1873-2976
    ISSN 0960-8524
    DOI 10.1016/j.biortech.2021.126094
    Datenquelle NAL Katalog (AGRICOLA)

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  6. Artikel ; Online: Research on the Robustness of the Chinese Input-Output Network Based on Relative Entropy Theory.

    Li, Weidong / Wang, Anjian / Xing, Wanli

    Entropy (Basel, Switzerland)

    2022  Band 24, Heft 8

    Abstract: The input-output (IO) network is the quantitative description of an IO-based economy in which nodes represent industries and edges connecting nodes represent the economic connection between industries. Robustness refers to the ability of tolerating ... ...

    Abstract The input-output (IO) network is the quantitative description of an IO-based economy in which nodes represent industries and edges connecting nodes represent the economic connection between industries. Robustness refers to the ability of tolerating perturbations that might affect the system's functional body. There is both practical and theoretical significance to explore the robustness of the IO network for economic development. In this paper, we probe the robustness of the Chinese IO network based on the relative entropy of the probability distribution of network parameters (node degree, strongest path betweenness, downstream closeness and upstream closeness) under random node or edge failure and intentional node or edge attack. It is found that the Chinese IO network shows relatively weak robustness when it is under intentional attack, but relatively strong robustness when it is under random failure. Our experiment also verifies the applicability and effectiveness of the relative entropy model in measuring the robustness of the IO network.
    Sprache Englisch
    Erscheinungsdatum 2022-07-29
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e24081043
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Artikel ; Online: Study on Methanation Performance of Biomass Gasification Syngas Based on a Ni/Al

    Xing, Wanli / Liu, Yifan / Zhang, Wanli / Sun, Yang / Kai, Xingping / Yang, Tianhua

    ACS omega

    2020  Band 5, Heft 44, Seite(n) 28597–28605

    Abstract: The structure of a Ni/ ... ...

    Abstract The structure of a Ni/Al
    Sprache Englisch
    Erscheinungsdatum 2020-10-29
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.0c03536
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel ; Online: A rapid method for isolation of bacterial extracellular vesicles from culture media using epsilon-poly-L-lysine that enables immunological function research.

    Wei, Shujin / Jiao, Dian / Xing, Wanli

    Frontiers in immunology

    2022  Band 13, Seite(n) 930510

    Abstract: Both Gram-negative and Gram-positive bacteria can release vesicle-like structures referred to as bacterial extracellular vesicles (BEVs), which contain various bioactive compounds. BEVs play important roles in the microbial community interactions and ... ...

    Abstract Both Gram-negative and Gram-positive bacteria can release vesicle-like structures referred to as bacterial extracellular vesicles (BEVs), which contain various bioactive compounds. BEVs play important roles in the microbial community interactions and host-microbe interactions. Markedly, BEVs can be delivered to host cells, thus modulating the development and function of the innate immune system. To clarify the compositions and biological functions of BEVs, we need to collect these vesicles with high purity and bioactivity. Here we propose an isolation strategy based on a broad-spectrum antimicrobial epsilon-poly-L-lysine (ϵ-PL) to precipitate BEVs at a relatively low centrifugal speed (10,000 × g). Compared to the standard ultracentrifugation strategy, our method can enrich BEVs from large volumes of media inexpensively and rapidly. The precipitated BEVs can be recovered by adjusting the pH and ionic strength of the media, followed by an ultrafiltration step to remove ϵ-PL and achieve buffer exchange. The morphology, size, and protein composition of the ϵ-PL-precipitated BEVs are comparable to those purified by ultracentrifugation. Moreover, ϵ-PL-precipitated BEVs retained the biological activity as observed by confocal microscopy studies. And THP-1 cells stimulated with these BEVs undergo marked reprogramming of their transcriptome. KEGG analysis of the differentially expressed genes showed that the signal pathways of cellular inflammatory response were significantly activated. Taken together, we provide a new method to rapidly enrich BEVs with high purity and bioactivity, which has the potential to be applied to BEVs-related immune response studies.
    Mesh-Begriff(e) Anti-Bacterial Agents ; Culture Media ; Extracellular Vesicles ; Host Microbial Interactions ; Polylysine
    Chemische Substanzen Anti-Bacterial Agents ; Culture Media ; Polylysine (25104-18-1)
    Sprache Englisch
    Erscheinungsdatum 2022-08-12
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2022.930510
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel ; Online: Study on Methanation Performance of Biomass Gasification Syngas Based on a Ni/Al2O3 Monolithic Catalyst

    Wanli Xing / Yifan Liu / Wanli Zhang / Yang Sun / Xingping Kai / Tianhua Yang

    ACS Omega, Vol 5, Iss 44, Pp 28597-

    2020  Band 28605

    Schlagwörter Chemistry ; QD1-999
    Sprache Englisch
    Erscheinungsdatum 2020-10-01T00:00:00Z
    Verlag American Chemical Society
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Buch ; Online: Target-free Extrinsic Calibration of Event-LiDAR Dyad using Edge Correspondences

    Xing, Wanli / Lin, Shijie / Yang, Lei / Pan, Jia

    2023  

    Abstract: Calibrating the extrinsic parameters of sensory devices is crucial for fusing multi-modal data. Recently, event cameras have emerged as a promising type of neuromorphic sensors, with many potential applications in fields such as mobile robotics and ... ...

    Abstract Calibrating the extrinsic parameters of sensory devices is crucial for fusing multi-modal data. Recently, event cameras have emerged as a promising type of neuromorphic sensors, with many potential applications in fields such as mobile robotics and autonomous driving. When combined with LiDAR, they can provide more comprehensive information about the surrounding environment. Nonetheless, due to the distinctive representation of event cameras compared to traditional frame-based cameras, calibrating them with LiDAR presents a significant challenge. In this paper, we propose a novel method to calibrate the extrinsic parameters between a dyad of an event camera and a LiDAR without the need for a calibration board or other equipment. Our approach takes advantage of the fact that when an event camera is in motion, changes in reflectivity and geometric edges in the environment trigger numerous events, which can also be captured by LiDAR. Our proposed method leverages the edges extracted from events and point clouds and correlates them to estimate extrinsic parameters. Experimental results demonstrate that our proposed method is highly robust and effective in various scenes.
    Schlagwörter Computer Science - Robotics
    Thema/Rubrik (Code) 629
    Erscheinungsdatum 2023-05-06
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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