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  1. Article: Effects of microhabitat characteristics on amphibian diversity in urban water system of Kaifeng, Henan, China.

    Peng, Li / Liang, Guo-Fu / Qiu, Peng-Wei

    Ying yong sheng tai xue bao = The journal of applied ecology

    2021  Volume 32, Issue 7, Page(s) 2597–2603

    Abstract: ... important indicator species for environmental change. The construction of Kaifeng water system affects ... of Kaifeng by setting sample points and using visual encounter method, and measured the habitat variables ...

    Title translation 开封市城市水系微生境特征对两栖动物多样性的影响.
    Abstract Amphibians with a unique life history are extremely sensitive to environmental changes. They are important indicator species for environmental change. The construction of Kaifeng water system affects the habitat and biodiversity of amphibians. In this study, we investigated the amphi-bians in water system of Kaifeng by setting sample points and using visual encounter method, and measured the habitat variables. We quantified amphibian biodiversity under different habitat types using the Shannon diversity index, Pielou evenness index and Simpson dominance index, and explored the responses of amphibians to microhabitat variations by cluster analysis and redundancy analysis. The results showed that the diversity, evenness, and dominance of amphibians in the natural revetment were higher than those in the artificial hardened revetment, indicating a more stable amphibian population in the natural habitat. The dominance index of amphibians on natural revetment was higher than that of the two artificially hardened revetments, indicating that amphibians preferred natural habitat. The abundance of both
    MeSH term(s) Amphibians ; Animals ; Biodiversity ; China ; Ecosystem ; Water
    Chemical Substances Water (059QF0KO0R)
    Language English
    Publishing date 2021-07-27
    Publishing country China
    Document type Journal Article
    ZDB-ID 2881809-X
    ISSN 1001-9332
    ISSN 1001-9332
    DOI 10.13287/j.1001-9332.202107.038
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Mapping winter wheat in Kaifeng, China using Sentinel-1A time-series images

    Li, Ning / Li, Heping / Zhao, Jianhui / Guo, Zhengwei / Yang, Huijin

    Remote sensing letters. 2022 May 04, v. 13, no. 5

    2022  

    Abstract: Crop planting area mapping is essential for crop phenology monitoring, yield prediction, and disaster prevention. In this study, a winter wheat identification method combining Markov Random Field and Spectral Similarity Measure (MRF-SSM) is proposed by ... ...

    Abstract Crop planting area mapping is essential for crop phenology monitoring, yield prediction, and disaster prevention. In this study, a winter wheat identification method combining Markov Random Field and Spectral Similarity Measure (MRF-SSM) is proposed by using Sentinel-1 A time-series images. It is found that compared with VH polarization, the backscattering coefficient of winter wheat at VV polarization fluctuates more at all growth stages and is used for winter wheat mapping. The result shows that the precision of mapping winter wheat using the MRF-SSM is 89.62% which is higher than using the support vector machine (SVM) and random forest (RF) methods. Because winter wheat near towns can be accurately identified using MRF-SSM methods. Moreover, the MRF-SSM method has the advantages of fewer winter wheat samples and less computation time. Therefore, time-series Sentinel-1A images with MRF-SSM have great potential for mapping winter wheat or other crops.
    Keywords disaster preparedness ; phenology ; probabilistic models ; support vector machines ; time series analysis ; winter wheat ; yield forecasting ; China
    Language English
    Dates of publication 2022-0504
    Size p. 503-510.
    Publishing place Taylor & Francis
    Document type Article
    ISSN 2150-7058
    DOI 10.1080/2150704X.2022.2046888
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Application of Stabilization/Solidification (S/S) Method for Cadmium Pollution in Surface Sediments of the Dongjiaogou River in Kaifeng, China

    Guo Shuya / Wang Ling / Wang Hongxia / Yang Bin / Su Xijian

    E3S Web of Conferences, Vol 257, p

    2021  Volume 03002

    Abstract: Cd contamination of sediments poses a serious threat to the global environment human health. A detail and comprehensive investigation of cadmium (Cd) pollution in the surface sediments of Dongjiaogou River was carried out. Concentration analysis of Cd in ...

    Abstract Cd contamination of sediments poses a serious threat to the global environment human health. A detail and comprehensive investigation of cadmium (Cd) pollution in the surface sediments of Dongjiaogou River was carried out. Concentration analysis of Cd in various depth and locations was conducted based on 82 samples collected from the river surface sediments where the sediments is up to 353 mg/kg. Subsequently, stabilization/solidification (S/S) method, an effective method of improving the engineering properties of sediments and encapsulating contaminants, was applied in these sediments. According to the results, the Cd pollutant was treated effectively by S/S method, which verifies the feasibility to mitigate the hazards caused by Cd in those sediments from the river. Furthermore, the S/S sediments are favorable as filling material in the road for both recycling and construction.
    Keywords Environmental sciences ; GE1-350
    Subject code 550 ; 333
    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: [Pollution Characteristics and Health Risk Assessment of Heavy Metals in Wheat Grains Cultivated in Kaifeng Irrigation Area of the Yellow River].

    Kang, Guo-Hua / Zhang, Peng-Yan / Li, Yan-Yan / Yang, Dan / Pang, Bo / He, Jian-Jian / Yan, Yu-Hang

    Huan jing ke xue= Huanjing kexue

    2018  Volume 39, Issue 8, Page(s) 3917–3926

    Abstract: ... of the Yellow River. Four towns in Kaifeng, which are within the lower reaches of the Yellow River, were selected ...

    Abstract In order to monitor heavy metal pollution in agricultural soils and assess the corresponding health risk in the Yellow River irrigation area, this study applied the Nemero index and the health risk index to evaluate heavy metal pollution in wheat grains and the health risks for residents in the lower reaches of the Yellow River. Four towns in Kaifeng, which are within the lower reaches of the Yellow River, were selected as the study area. The examination of wheat samples revealed that the average contents of Cd, Cr, Pb, Cu, Zn, Ni, and Hg in the wheat grains were 0.034, 0.428, 0.279, 5.363, 29.605, 0.305, and 0.003 mg·kg
    MeSH term(s) Adult ; Child ; China/epidemiology ; Environmental Monitoring ; Humans ; Metals, Heavy/analysis ; Neoplasms/epidemiology ; Risk Assessment ; Rivers ; Soil Pollutants/analysis ; Triticum/chemistry
    Chemical Substances Metals, Heavy ; Soil Pollutants
    Language Chinese
    Publishing date 2018-08-02
    Publishing country China
    Document type Journal Article
    ISSN 0250-3301
    ISSN 0250-3301
    DOI 10.13227/j.hjkx.201709198
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Urinary PKM2, a marker predicating acute kidney injury in patients with sepsis.

    Jiajun, Wu / Kaifeng, Guo / Jing, Zhou

    International urology and nephrology

    2024  

    Abstract: Purpose: Acute kidney injury (AKI) is a complication commonly occurred in patients with sepsis, and AKI has become the leading cause associated with mortality. PKM2, as a rate-limiting enzyme of glycolysis, was considered to be involved in AKI in vitro ... ...

    Abstract Purpose: Acute kidney injury (AKI) is a complication commonly occurred in patients with sepsis, and AKI has become the leading cause associated with mortality. PKM2, as a rate-limiting enzyme of glycolysis, was considered to be involved in AKI in vitro and animal models. However, there have been no studies reported on the expression of PKM2 in humans and its association with AKI.
    Methods: A retrospective study including 57 patients (35 males and 22 females) that were admitted into hospital in 2019 was carried out in our research. The basic characteristics and clinical parameters of each patient were collected from patients' medical records. We assessed changes in the expression of serum and urinary PKM2 using ELISA and its association with clinical manifestations in patients with sepsis through correlation analysis. Besides, ROC analysis was applied for evaluating the role of PKM2 in predicting AKI and death rate.
    Results: Urinary PKM2 is obviously increased in patients with sepsis-associated AKI (P < 0.05), while no significant change was found in the expression of serum PKM2. Moreover, the expression of urinary PKM2 is positively correlated with serum creatinine (r=0.577, P < 0.01) and blood-urea-nitrogen (r=0.531, P<0.01). In addition, it is negatively correlated with glomerular filtration rate (r=-0.583, P<0.01). Besides, ROC analysis indicated that urinary PKM2 could be a predictor of AKI in patients with sepsis (AUC-ROC, 0.819; SE, 0.086, P = 0.004, 95% CI 0.651-0.986).
    Conclusions: Urinary PKM2 could be a marker predicting acute kidney injury in patients with sepsis.
    Language English
    Publishing date 2024-04-18
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 204048-7
    ISSN 1573-2584 ; 0301-1623 ; 0042-1162
    ISSN (online) 1573-2584
    ISSN 0301-1623 ; 0042-1162
    DOI 10.1007/s11255-024-04054-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  6. Article: Genome-Wide Comparative Analysis of the

    Li, Maoxing / Zhou, Yuanping / Li, Kaifeng / Guo, Huachun

    Plants (Basel, Switzerland)

    2023  Volume 12, Issue 8

    Abstract: Sweet potatoes ( ...

    Abstract Sweet potatoes (
    Language English
    Publishing date 2023-04-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704341-1
    ISSN 2223-7747
    ISSN 2223-7747
    DOI 10.3390/plants12081731
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  7. Article ; Online: Graph convolutional network and self-attentive for sequential recommendation

    Kaifeng Guo / Guolei Zeng

    PeerJ Computer Science, Vol 9, p e

    2023  Volume 1701

    Abstract: Sequential recommender systems (SRS) aim to provide personalized recommendations to users in the context of large-scale datasets and complex user behavior sequences. However, the effectiveness of most existing embedding techniques in capturing the ... ...

    Abstract Sequential recommender systems (SRS) aim to provide personalized recommendations to users in the context of large-scale datasets and complex user behavior sequences. However, the effectiveness of most existing embedding techniques in capturing the intricate relationships between items remains suboptimal, with a significant concentration of item embedding vectors that hinder the improvement of final prediction performance. Nevertheless, our study reveals that the distribution of item embeddings can be effectively dispersed through graph interaction networks and contrastive learning. In this article, we propose a graph convolutional neural network to capture the complex relationships between users and items, leveraging the learned embedding vectors of nodes to represent items. Additionally, we employ a self-attentive sequential model to predict outcomes based on the item embedding sequences of individual users. Furthermore, we incorporate instance-wise contrastive learning (ICL) and prototype contrastive learning (PCL) during the training process to enhance the effectiveness of representation learning. Broad comparative experiments and ablation studies were conducted across four distinct datasets. The experimental outcomes clearly demonstrate the superior performance of our proposed GSASRec model.
    Keywords Sequential recommendation ; Contrastive learning ; Graph convolutional network ; Deep learning ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 006
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher PeerJ Inc.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Graph convolutional network and self-attentive for sequential recommendation.

    Guo, Kaifeng / Zeng, Guolei

    PeerJ. Computer science

    2023  Volume 9, Page(s) e1701

    Abstract: Sequential recommender systems (SRS) aim to provide personalized recommendations to users in the context of large-scale datasets and complex user behavior sequences. However, the effectiveness of most existing embedding techniques in capturing the ... ...

    Abstract Sequential recommender systems (SRS) aim to provide personalized recommendations to users in the context of large-scale datasets and complex user behavior sequences. However, the effectiveness of most existing embedding techniques in capturing the intricate relationships between items remains suboptimal, with a significant concentration of item embedding vectors that hinder the improvement of final prediction performance. Nevertheless, our study reveals that the distribution of item embeddings can be effectively dispersed through graph interaction networks and contrastive learning. In this article, we propose a graph convolutional neural network to capture the complex relationships between users and items, leveraging the learned embedding vectors of nodes to represent items. Additionally, we employ a self-attentive sequential model to predict outcomes based on the item embedding sequences of individual users. Furthermore, we incorporate instance-wise contrastive learning (ICL) and prototype contrastive learning (PCL) during the training process to enhance the effectiveness of representation learning. Broad comparative experiments and ablation studies were conducted across four distinct datasets. The experimental outcomes clearly demonstrate the superior performance of our proposed GSASRec model.
    Language English
    Publishing date 2023-12-01
    Publishing country United States
    Document type Journal Article
    ISSN 2376-5992
    ISSN (online) 2376-5992
    DOI 10.7717/peerj-cs.1701
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Responses of Aerial and Belowground Parts of Different Potato (

    Zhou, Jinhua / Li, Kaifeng / Li, Youhan / Li, Maoxing / Guo, Huachun

    Plants (Basel, Switzerland)

    2023  Volume 12, Issue 4

    Abstract: The mechanism of potato ( ...

    Abstract The mechanism of potato (
    Language English
    Publishing date 2023-02-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704341-1
    ISSN 2223-7747
    ISSN 2223-7747
    DOI 10.3390/plants12040818
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Corrigendum: Systematic review and meta-analysis of the efficacy and safety of electroacupuncture for poststroke dysphagia.

    Li, Xuezheng / Lu, Lijun / Fu, Xuefeng / Li, Hao / Yang, Wen / Guo, Hua / Guo, Kaifeng / Huang, Zhen

    Frontiers in neurology

    2024  Volume 14, Page(s) 1359704

    Abstract: This corrects the article DOI: 10.3389/fneur.2023.1270624.]. ...

    Abstract [This corrects the article DOI: 10.3389/fneur.2023.1270624.].
    Language English
    Publishing date 2024-01-10
    Publishing country Switzerland
    Document type Published Erratum
    ZDB-ID 2564214-5
    ISSN 1664-2295
    ISSN 1664-2295
    DOI 10.3389/fneur.2023.1359704
    Database MEDical Literature Analysis and Retrieval System OnLINE

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