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  1. Article ; Online: The challenges of antimicrobial resistance surveillance in China.

    Wang, Jiancong

    American journal of infection control

    2019  Volume 47, Issue 11, Page(s) 1403–1404

    MeSH term(s) Anti-Bacterial Agents/pharmacology ; China ; Drug Resistance, Bacterial ; Humans ; Microbial Sensitivity Tests ; Population Surveillance
    Chemical Substances Anti-Bacterial Agents
    Language English
    Publishing date 2019-07-23
    Publishing country United States
    Document type Letter
    ZDB-ID 392362-9
    ISSN 1527-3296 ; 0196-6553
    ISSN (online) 1527-3296
    ISSN 0196-6553
    DOI 10.1016/j.ajic.2019.05.017
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1773: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Self-Supervised Contrastive Molecular Representation Learning with a Chemical Synthesis Knowledge Graph.

    Xie, Jiancong / Wang, Yi / Rao, Jiahua / Zheng, Shuangjia / Yang, Yuedong

    Journal of chemical information and modeling

    2024  Volume 64, Issue 6, Page(s) 1945–1954

    Abstract: Self-supervised molecular representation learning has demonstrated great promise in bridging machine learning and chemical science to accelerate the development of new drugs. Due to the limited reaction data, existing methods are mostly pretrained by ... ...

    Abstract Self-supervised molecular representation learning has demonstrated great promise in bridging machine learning and chemical science to accelerate the development of new drugs. Due to the limited reaction data, existing methods are mostly pretrained by augmenting the intrinsic topology of molecules without effectively incorporating chemical reaction prior information, which makes them difficult to generalize to chemical reaction-related tasks. To address this issue, we propose ReaKE, a reaction knowledge embedding framework, which formulates chemical reactions as a knowledge graph. Specifically, we constructed a chemical synthesis knowledge graph with reactants and products as nodes and reaction rules as the edges. Based on the knowledge graph, we further proposed novel contrastive learning at both molecule and reaction levels to capture the reaction-related functional group information within and between molecules. Extensive experiments demonstrate the effectiveness of ReaKE compared with state-of-the-art methods on several downstream tasks, including reaction classification, product prediction, and yield prediction.
    MeSH term(s) Pattern Recognition, Automated ; Machine Learning
    Language English
    Publishing date 2024-03-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 190019-5
    ISSN 1549-960X ; 0095-2338
    ISSN (online) 1549-960X
    ISSN 0095-2338
    DOI 10.1021/acs.jcim.4c00157
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1230: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: The spatial effect of digital economy on public psychological resilience during the diffusive crisis

    Jiancong Tao / Zhe Wang / Junwei Li

    Frontiers in Public Health, Vol

    2023  Volume 11

    Abstract: PurposeTo explore whether the digital economy has spatial effects and spatial heterogeneity on public psychological resilience during the diffusive crisis and to analyze the specific impact mechanisms.MethodsThis study is based on the Baidu Search Index ... ...

    Abstract PurposeTo explore whether the digital economy has spatial effects and spatial heterogeneity on public psychological resilience during the diffusive crisis and to analyze the specific impact mechanisms.MethodsThis study is based on the Baidu Search Index from 2011 to 2020 and the provincial panel data of 30 provinces in China. It constructs measures of public psychological resilience and digital economy development level and employs the spatial Durbin model to empirically analyze the relationship between the two, revealing their spatial impact.Results(1) Public psychological resilience exhibits a spatial distribution characterized by high values in the west, medium values in the central region, and low values in the east, while the digital economy development level shows a “U”-shaped spatial structure with high levels in the eastern and western regions and low levels in the middle; (2) The digital economy development level in a local region has a negative effect on the public psychological resilience of that region, while the digital economy development level in surrounding regions has a positive spatial spillover effect on the local region’s public psychological resilience.ConclusionIt is essential to strengthen crisis management, focus on the coordinated development of the digital economy in different regions, share the benefits of digital society development more equitably and broadly, and further improve the psychological resilience of regions under the context of digital economy development.
    Keywords psychological resilience ; digital economy ; spatial spillover effect ; public mental health ; diffusive crisis ; Public aspects of medicine ; RA1-1270
    Subject code 910
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Carbon Dots Anchoring Single-Atom Pt on C

    Wang, Jing / Song, Jiayu / Kang, Xin / Wang, Dongxu / Tian, Chungui / Zhang, Qin / Zhao, Hui / Liu, Jiancong

    Molecules (Basel, Switzerland)

    2024  Volume 29, Issue 8

    Abstract: Carbon nitride ( ... ...

    Abstract Carbon nitride (C
    Language English
    Publishing date 2024-04-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules29081890
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    In stock of ZB MED Cologne/Königswinter

    Zs.MO 81: Show issues

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  5. Article ; Online: The spatial effect of digital economy on public psychological resilience during the diffusive crisis.

    Tao, Jiancong / Wang, Zhe / Li, Junwei

    Frontiers in public health

    2023  Volume 11, Page(s) 1156367

    Abstract: Purpose: To explore whether the digital economy has spatial effects and spatial heterogeneity on public psychological resilience during the diffusive crisis and to analyze the specific impact mechanisms.: Methods: This study is based on the Baidu ... ...

    Abstract Purpose: To explore whether the digital economy has spatial effects and spatial heterogeneity on public psychological resilience during the diffusive crisis and to analyze the specific impact mechanisms.
    Methods: This study is based on the Baidu Search Index from 2011 to 2020 and the provincial panel data of 30 provinces in China. It constructs measures of public psychological resilience and digital economy development level and employs the spatial Durbin model to empirically analyze the relationship between the two, revealing their spatial impact.
    Results: (1) Public psychological resilience exhibits a spatial distribution characterized by high values in the west, medium values in the central region, and low values in the east, while the digital economy development level shows a "U"-shaped spatial structure with high levels in the eastern and western regions and low levels in the middle; (2) The digital economy development level in a local region has a negative effect on the public psychological resilience of that region, while the digital economy development level in surrounding regions has a positive spatial spillover effect on the local region's public psychological resilience.
    Conclusion: It is essential to strengthen crisis management, focus on the coordinated development of the digital economy in different regions, share the benefits of digital society development more equitably and broadly, and further improve the psychological resilience of regions under the context of digital economy development.
    MeSH term(s) Resilience, Psychological ; Economic Development ; China
    Language English
    Publishing date 2023-05-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2023.1156367
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  6. Article ; Online: Research on Ocular Artifacts Removal from Single-Channel Electroencephalogram Signals in Obstructive Sleep Apnea Patients Based on Support Vector Machine, Improved Variational Mode Decomposition, and Second-Order Blind Identification.

    Xiong, Xin / Sun, Zhiran / Wang, Aikun / Zhang, Jiancong / Zhang, Jing / Wang, Chunwu / He, Jianfeng

    Sensors (Basel, Switzerland)

    2024  Volume 24, Issue 5

    Abstract: The electroencephalogram (EEG) has recently emerged as a pivotal tool in brain imaging analysis, playing a crucial role in accurately interpreting brain functions and states. To address the problem that the presence of ocular artifacts in the EEG signals ...

    Abstract The electroencephalogram (EEG) has recently emerged as a pivotal tool in brain imaging analysis, playing a crucial role in accurately interpreting brain functions and states. To address the problem that the presence of ocular artifacts in the EEG signals of patients with obstructive sleep apnea syndrome (OSAS) severely affects the accuracy of sleep staging recognition, we propose a method that integrates a support vector machine (SVM) with genetic algorithm (GA)-optimized variational mode decomposition (VMD) and second-order blind identification (SOBI) for the removal of ocular artifacts from single-channel EEG signals. The SVM is utilized to identify artifact-contaminated segments within preprocessed single-channel EEG signals. Subsequently, these signals are decomposed into variational modal components across different frequency bands using the GA-optimized VMD algorithm. These components undergo further decomposition via the SOBI algorithm, followed by the computation of their approximate entropy. An approximate entropy threshold is set to identify and remove components laden with ocular artifacts. Finally, the signal is reconstructed using the inverse SOBI and VMD algorithms. To validate the efficacy of our proposed method, we conducted experiments utilizing both simulated data and real OSAS sleep EEG data. The experimental results demonstrate that our algorithm not only effectively mitigates the presence of ocular artifacts but also minimizes EEG signal distortion, thereby enhancing the precision of sleep staging recognition based on the EEG signals of OSAS patients.
    MeSH term(s) Humans ; Artifacts ; Support Vector Machine ; Signal Processing, Computer-Assisted ; Electroencephalography/methods ; Algorithms ; Sleep Apnea, Obstructive
    Language English
    Publishing date 2024-03-02
    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/s24051642
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  7. Article: Perspective on pH adjustment in hydrometallurgical recycling of valuable metals from waste.

    Suiyi, Zhu / Jian, Wang / Yuhong, Huang / Ying, Wang / Yuxin, Zhang / Jiabao, Qin / Jiancong, Liu / Jinlu, Yao / Meichun, Ji

    Frontiers in chemistry

    2023  Volume 11, Page(s) 1177173

    Abstract: pH adjustment was considered a simple step in the hydrometallurgy process, but its complicated operation was ignored in the past. In some industrial applications, the leachate pH was slowly adjusted by a diluted alkaline solution, with the defects of ... ...

    Abstract pH adjustment was considered a simple step in the hydrometallurgy process, but its complicated operation was ignored in the past. In some industrial applications, the leachate pH was slowly adjusted by a diluted alkaline solution, with the defects of doubling the leachate volume and causing droplet hydrolysis/coagulation. Up to date, promising routes have been developed for rapid pH adjustment, especially in sealed high-temperature/pressure vessels. New routes emerged in some redox/decomposition reactions of nitrate/urea and organics. Such reactions did not start and/or were slow at room temperature but started spontaneously at high temperatures to generate/consume free H
    Language English
    Publishing date 2023-05-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711776-5
    ISSN 2296-2646
    ISSN 2296-2646
    DOI 10.3389/fchem.2023.1177173
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  8. Article ; Online: A new clinical model for predicting lymph node metastasis in T1 colorectal cancer.

    Wang, Kai / He, Hui / Lin, Yanyun / Zhang, Yanhong / Chen, Junguo / Hu, Jiancong / He, Xiaosheng

    International journal of colorectal disease

    2024  Volume 39, Issue 1, Page(s) 46

    Abstract: Purpose: Lymph node metastasis (LNM) is a crucial factor that determines the prognosis of T1 colorectal cancer (CRC) patients. We aimed to develop a practical prediction model for LNM in T1 CRC.: Methods: We conducted a retrospective analysis of data ...

    Abstract Purpose: Lymph node metastasis (LNM) is a crucial factor that determines the prognosis of T1 colorectal cancer (CRC) patients. We aimed to develop a practical prediction model for LNM in T1 CRC.
    Methods: We conducted a retrospective analysis of data from 825 patients with T1 CRC who underwent radical resection at a single center in China. All enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3 using R software. Risk factors for LNM were identified through multivariate logistic regression analyses. Subsequently, a prediction model was developed using the selected variables.
    Results: The lymph node metastasis (LNM) rate was 10.1% in the training cohort and 9.3% in the validation cohort. In the training set, risk factors for LNM in T1 CRC were identified, including depressed endoscopic gross appearance, sex, submucosal invasion combined with tumor grade (DSI-TG), lymphovascular invasion (LVI), and tumor budding. LVI emerged as the most potent predictor for LNM. The prediction model based on these factors exhibited good discrimination ability in the validation sets (AUC: 79.3%). Compared to current guidelines, the model could potentially reduce over-surgery by 48.9%. Interestingly, we observed that sex had a differential impact on LNM between early-onset and late-onset CRC patients.
    Conclusions: We developed a clinical prediction model for LNM in T1 CRC using five factors that are easily accessible in clinical practice. The model has better predictive performance and practicality than the current guidelines and can assist clinicians in making treatment decisions for T1 CRC patients.
    MeSH term(s) Humans ; Retrospective Studies ; Prognosis ; Lymphatic Metastasis/pathology ; Models, Statistical ; Colorectal Neoplasms/surgery ; Colorectal Neoplasms/pathology ; Risk Factors ; Lymph Nodes/surgery ; Lymph Nodes/pathology
    Language English
    Publishing date 2024-04-03
    Publishing country Germany
    Document type Randomized Controlled Trial ; Journal Article
    ZDB-ID 84975-3
    ISSN 1432-1262 ; 0179-1958
    ISSN (online) 1432-1262
    ISSN 0179-1958
    DOI 10.1007/s00384-024-04621-y
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2121: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  9. Article ; Online: Re-Dispersion of Platinum From CNTs Substrate to α-MoC

    Cai, Huizhu / Wang, Li / Liu, Wei / Zhang, Xiao / Chen, Bingbing / Mao, Peiyuan / Fang, Jiancong / Gao, Rui / Shi, Chuan

    Small (Weinheim an der Bergstrasse, Germany)

    2023  Volume 19, Issue 21, Page(s) e2207146

    Abstract: Developing high-performance electrocatalysts toward hydrogen evolution reaction (HER) is important for clean and sustainable hydrogen energy, yet still challenging. Herein, an α- ... ...

    Abstract Developing high-performance electrocatalysts toward hydrogen evolution reaction (HER) is important for clean and sustainable hydrogen energy, yet still challenging. Herein, an α-MoC
    Language English
    Publishing date 2023-02-11
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2168935-0
    ISSN 1613-6829 ; 1613-6810
    ISSN (online) 1613-6829
    ISSN 1613-6810
    DOI 10.1002/smll.202207146
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  10. Article ; Online: Competitive substitution in europium metal-organic gel for signal-on electrochemiluminescence detection of dipicolinic acid.

    Xiong, Ya / Yang, Weiqiang / Huang, Shengxiu / Chen, Xiaoping / Wang, Qingxiang / Ni, Jiancong / Lin, Zhenyu

    Mikrochimica acta

    2023  Volume 190, Issue 11, Page(s) 426

    Abstract: Metal-organic gels (MOGs) emerged as an attractive luminescent soft material for electrochemiluminescence (ECL). In this work, a cathodic ECL-activated europium metal-organic gel (Eu-MOG) has been synthesized by a facile mixing of ... ...

    Abstract Metal-organic gels (MOGs) emerged as an attractive luminescent soft material for electrochemiluminescence (ECL). In this work, a cathodic ECL-activated europium metal-organic gel (Eu-MOG) has been synthesized by a facile mixing of Eu
    Language English
    Publishing date 2023-10-04
    Publishing country Austria
    Document type Journal Article
    ZDB-ID 89-9
    ISSN 1436-5073 ; 0026-3672
    ISSN (online) 1436-5073
    ISSN 0026-3672
    DOI 10.1007/s00604-023-06007-3
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    In stock of ZB MED Bonn / Germany

    Z 56/171: Show issues
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