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  1. Article: Preparation and performance of solid thermal energy storage materials based on low-grade pyrophyllite minerals.

    Wang, Hui / Hu, Biao / Li, Jianqiang / Li, Xiaoqing

    Heliyon

    2024  Volume 10, Issue 5, Page(s) e26871

    Abstract: The new sensible thermal energy storage materials were prepared by the sintering method with low-grade pyrophyllite mineral powders as main raw materials, Suzhou clay as the sintering aid and sulfite liquors as the binder. Further, the performance of ... ...

    Abstract The new sensible thermal energy storage materials were prepared by the sintering method with low-grade pyrophyllite mineral powders as main raw materials, Suzhou clay as the sintering aid and sulfite liquors as the binder. Further, the performance of sensible thermal energy storage under different size distributions and sintering temperatures was investigated and analyzed. The results show that the optimum particle size distribution is 50:15:35, the bulk density, thermal conductivity, and specific heat capacity are the largest values, which are 1.97 g cm
    Language English
    Publishing date 2024-02-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e26871
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Video evidence that cuckoos farm their hosts by ejecting nestlings.

    Zhang, Jinggang / Santema, Peter / Li, Jianqiang / Deng, Wenhong / Kempenaers, Bart

    Ecology and evolution

    2024  Volume 14, Issue 4, Page(s) e11196

    Abstract: When host nests are scarce, avian brood parasites would benefit from behaviours that increase the availability of suitable nests. Several studies reported ejection of host nestlings from nests by brood parasites; however, whether brood parasites do so to ...

    Abstract When host nests are scarce, avian brood parasites would benefit from behaviours that increase the availability of suitable nests. Several studies reported ejection of host nestlings from nests by brood parasites; however, whether brood parasites do so to induce the host to re-nest and thus increase opportunities for future parasitism (i.e. 'farming' behaviour) remains unclear. Here, we report observational evidence of farming behaviour by a common cuckoo
    Language English
    Publishing date 2024-04-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 2635675-2
    ISSN 2045-7758
    ISSN 2045-7758
    DOI 10.1002/ece3.11196
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Dynamic and Static Comparative Analysis on the Cost-Profit of Backyard Hog Production and Scale Hog Production in China

    Jia Xiaojuan / Li Jianqiang

    E3S Web of Conferences, Vol 233, p

    2021  Volume 02054

    Abstract: This paper uses a combination of dynamic comparison and static comparison to comprehensively compare the cost-profit changes and gaps between backyard hog production and small, medium and large scale production from 2007 to 2018 in China, and discusses ... ...

    Abstract This paper uses a combination of dynamic comparison and static comparison to comprehensively compare the cost-profit changes and gaps between backyard hog production and small, medium and large scale production from 2007 to 2018 in China, and discusses the relationship between the cost-profit of hog production and production scales. The purpose is to provide data basis and support for the government to formulate relevant policies, and to provide reference for the transformation of farmers’ hog production behavior, so as to further promote the healthy and stable development of the pig industry. The results showed that: (1) the cost of backyard hog production is the highest, and the cost of large-scale production is the lowest, and the cost is inversely proportional to the scale of production; (2) the main incentives for the high cost of backyard hog production are the input of piglets, feed and labor, and The main incentives for the high cost of scale hog production are the input of piglets and feed. Scale hog production saves labor costs more than backyard hog production; (3) The net profit of backyard hog production is the lowest, and the net profit of medium-scale production is the highest. It is not that the larger the scale, the higher the profit; (4) The profit gap between backyard hog production and scale hog production is gradually expanding, and the economic advantages of scale hog production are obvious. Therefore, it is necessary to improve the production technology service system, develop moderately scale production, and improve the level of organization of farmers in order to promote the modernization and transformation of backyard hog production and further enhance the competitiveness of China’s pig industry.
    Keywords Environmental sciences ; GE1-350
    Subject code 670
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Real-world effectiveness of Azvudine versus nirmatrelvir-ritonavir in hospitalized patients with COVID-19.

    Zeng, Guangting / Wang, Linlin / Li, Jianqiang / Zhang, Zanling

    Journal of medical virology

    2023  Volume 95, Issue 6, Page(s) e28836

    MeSH term(s) Humans ; Ritonavir/therapeutic use ; COVID-19 ; COVID-19 Drug Treatment ; Antiviral Agents/therapeutic use
    Chemical Substances azvudine (IJ2XP0ID0K) ; nirmatrelvir (7R9A5P7H32) ; Ritonavir (O3J8G9O825) ; Antiviral Agents
    Language English
    Publishing date 2023-05-30
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.28836
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    Zs.A 1320: Show issues Location:
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  5. Article ; Online: Knowledge Guided Feature Aggregation for the Prediction of Chronic Obstructive Pulmonary Disease With Chinese EMRs.

    Zhao, Qing / Li, Jianqiang / Zhao, Linna / Zhu, Zhichao

    IEEE/ACM transactions on computational biology and bioinformatics

    2023  Volume 20, Issue 6, Page(s) 3343–3352

    Abstract: The automatic disease diagnosis utilizing clinical data has been suffering from the issues of feature sparse and high probability of missing values. Since the graph neural network is a effective tool to model the structural information and infer the ... ...

    Abstract The automatic disease diagnosis utilizing clinical data has been suffering from the issues of feature sparse and high probability of missing values. Since the graph neural network is a effective tool to model the structural information and infer the missing values, it is becoming the dominant method for the predictive model construction from electronic medical records. Existing graph neural network based solutions usually adopt the medical concepts (e.g., symptoms) the feature representation of clinical data without considering their underlying semantic relations. The limited discriminative capability of the medical concept cannot provide sufficient indicative information about the disease. This article proposes a knowledge-guided graph attention network for the disease prediction. Beside extracting the attribute-value structure as a large-size medical concept, the mutual information between multiple medical concepts mentioned in the electronic medical records are taken into account in the graph construction. Meanwhile, the defined diseases and their associations with the medical concepts in the medical knowledge graph are incorporated into the graph, which provides the potentials to enhance the indicative impacts of the medical concepts directly related to a target disease. Then, the spatial and attention based graph encoders are employed to aggregate information from directly neighbor nodes to generate node embeddings as the compact features to be used for disease diagnosis. The approach itself is a general one that can utilized to build the predictive model using Chinese EMRs for different diseases. The empirical experiments for its performance evaluation are conducted on the real-world COPD EMR dataset. The comparison study results show that the proposed model outperforms baseline methods, which illustrates the effectiveness of our proposed model.
    MeSH term(s) Humans ; Neural Networks, Computer ; Semantics ; Electronic Health Records ; Pulmonary Disease, Chronic Obstructive/diagnosis ; China
    Language English
    Publishing date 2023-12-25
    Publishing country United States
    Document type Journal Article
    ISSN 1557-9964
    ISSN (online) 1557-9964
    DOI 10.1109/TCBB.2022.3198798
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: CLART: A cascaded lattice-and-radical transformer network for Chinese medical named entity recognition.

    Xiao, Yinlong / Ji, Zongcheng / Li, Jianqiang / Zhu, Qing

    Heliyon

    2023  Volume 9, Issue 10, Page(s) e20692

    Abstract: Chinese medical named entity recognition (NER) is a fundamental task in Chinese medical natural language processing, aiming to recognize Chinese medical entities within unstructured medical texts. However, it poses significant challenges mainly due to ... ...

    Abstract Chinese medical named entity recognition (NER) is a fundamental task in Chinese medical natural language processing, aiming to recognize Chinese medical entities within unstructured medical texts. However, it poses significant challenges mainly due to the extensive usage of medical terms in Chinese medical texts. Although previous studies have made attempts to incorporate lexical or radical knowledge in order to improve the comprehension of medical texts, these studies either focus solely on one of these aspects or utilize a basic concatenation operation to combine these features, which fails to fully utilize the potential of lexical and radical knowledge. In this paper, we propose a novel Cascaded LAttice-and-Radical Transformer (CLART) network to exploit both lexical and radical information for Chinese medical NER. Specifically, given a sentence, a medical lexicon, and a radical dictionary, we first construct a flat lattice (
    Language English
    Publishing date 2023-10-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e20692
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Risk factors of long COVID 6-12 months after infection with the Omicron variant among nonhospitalized patients.

    Zeng, Guangting / Zhang, Zanling / Wang, Linlin / Li, Jianqiang

    Journal of medical virology

    2023  Volume 95, Issue 11, Page(s) e29235

    MeSH term(s) Humans ; Post-Acute COVID-19 Syndrome ; COVID-19 ; SARS-CoV-2 ; Risk Factors
    Language English
    Publishing date 2023-11-16
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.29235
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1320: Show issues Location:
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  8. Article: 

    Jiang, Jianhang / Ji, Ying / Li, Jianqiang / Zhang, Yanjun

    PhytoKeys

    2023  Volume 219, Page(s) 97–106

    Abstract: ... ...

    Abstract Epimediumlongnanense
    Language English
    Publishing date 2023-02-08
    Publishing country Bulgaria
    Document type Journal Article
    ZDB-ID 2579891-1
    ISSN 1314-2003 ; 1314-2011
    ISSN (online) 1314-2003
    ISSN 1314-2011
    DOI 10.3897/phytokeys.219.94275
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Protein-Protein Interaction Sites Prediction Using Batch Normalization Based CNNs and Oversampling Method Borderline-SMOTE.

    Jiang, Changkun / Lv, Weipeng / Li, Jianqiang

    IEEE/ACM transactions on computational biology and bioinformatics

    2023  Volume 20, Issue 3, Page(s) 2190–2199

    Abstract: The recognition of protein-protein interaction sites (PPIs) is beneficial for the interpretation of protein functions and the development of new drugs. Traditional biological experiments to identify PPI sites are expensive and inefficient, leading to the ...

    Abstract The recognition of protein-protein interaction sites (PPIs) is beneficial for the interpretation of protein functions and the development of new drugs. Traditional biological experiments to identify PPI sites are expensive and inefficient, leading to the generation of various computational methods to predict PPIs. However, the accurate prediction of PPI sites remains a big challenge due to the existence of the sample imbalance issue. In this work, we design a novel model that combines convolutional neural networks (CNNs) with Batch Normalization to predict PPI sites, and employ an oversampling technique Borderline-SMOTE to address the sample imbalance issue. In particular, to better characterize the amino acid residues on the protein chains, we employ a sliding window approach for feature extraction of target residues and their contextual residues. We verify the effectiveness of our method by comparing our method with the existing state-of-the-art schemes. The performance validations of our method on three public datasets achieve accuracies of 88.6%, 89.9%, and 86.7%, respectively, all showing improved accuracies compared with the existing schemes. Moreover, the ablation experiment results suggest that Batch Normalization can greatly improve the generalization and the prediction stability of our model.
    MeSH term(s) Neural Networks, Computer ; Proteins
    Chemical Substances Proteins
    Language English
    Publishing date 2023-06-05
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1557-9964
    ISSN (online) 1557-9964
    DOI 10.1109/TCBB.2023.3238001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Impact of corticosteroids use on midterm sequelae in survivors of COVID-19 admitted to hospital.

    Zeng, Guangting / Li, Jianqiang / Wang, Linlin / Zhang, Zanling

    Journal of medical virology

    2023  Volume 95, Issue 8, Page(s) e28988

    MeSH term(s) Humans ; COVID-19 ; Hospitalization ; Hospitals ; Adrenal Cortex Hormones/adverse effects ; Survivors
    Chemical Substances Adrenal Cortex Hormones
    Language English
    Publishing date 2023-07-11
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.28988
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1320: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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