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  1. Article ; Online: The use of blockchain technology in enterprise financial accounting information sharing.

    Jiang, Liyan

    PloS one

    2024  Volume 19, Issue 2, Page(s) e0298210

    Abstract: This work intends to comprehensively analyze the application of blockchain technology in enterprise financial accounting information sharing and address prevalent issues such as information opacity, data tampering, and data security in the current ... ...

    Abstract This work intends to comprehensively analyze the application of blockchain technology in enterprise financial accounting information sharing and address prevalent issues such as information opacity, data tampering, and data security in the current practices. Therefore, it writes smart contracts based on the Ethereum platform to achieve the secure sharing of financial accounting information between enterprises. This work employs a randomized experimental design approach, using a computer-generated random number program to divide 100 enterprises into experimental and control groups, each comprising 50 enterprises. Enterprises in the experimental group share financial accounting information using smart contracts on the Ethereum platform during the experiment. The financial personnel of these enterprises upload reconciled data to the corresponding smart contracts using the enterprise's digital signatures after each month's accounting process. Enterprises in the control group continue to use traditional methods of financial accounting information sharing (such as email and web platforms) to share financial data files directly. Quantitative analysis is performed to compare the data between the experimental and control groups. Empirical results reveal a notable enhancement in information-sharing efficiency by 25.7%, a 19.8% improvement in data accuracy, and a 13.6% reduction in financial information-sharing costs within the experimental group compared to the control group. This work provides compelling evidence that adopting blockchain-based information-sharing methods can effectively elevate data trustworthiness and security. Supported by systematic empirical findings, this work validates the significant potential of blockchain technology in the realm of enterprise financial accounting information sharing.
    MeSH term(s) Blockchain ; Computer Security ; Technology ; Information Dissemination ; Records
    Language English
    Publishing date 2024-02-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0298210
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Cell-Mediated Branch Fusion in the Drosophila Trachea.

    Jiang, Lan

    Results and problems in cell differentiation

    2023  Volume 71, Page(s) 91–100

    Abstract: The Drosophila trachea is an interconnected network of epithelial tubes, which delivers gases throughout the entire organism. It is the premier model to study the development of tubular organs, such as the human lung, kidney, and blood vessels. The ... ...

    Abstract The Drosophila trachea is an interconnected network of epithelial tubes, which delivers gases throughout the entire organism. It is the premier model to study the development of tubular organs, such as the human lung, kidney, and blood vessels. The Drosophila embryonic trachea derives from a series of segmentally repeated clusters. The tracheal precursor cells in each cluster migrate out in a stereotyped pattern to form primary branches. Thereafter, the neighboring branches need to fuse to form an interconnected tubular network. The connection between neighboring branches is orchestrated by specialized cells, called fusion cells. These cells fuse with their counterparts to form a tube with a contiguous lumen. Branch fusion is a multi-step process that includes cell migration, cell adhesion, cytoskeleton track formation, vesicle trafficking, membrane fusion, and lumen formation. This review summarizes the current knowledge on fusion process in the Drosophila trachea. These mechanisms will greatly contribute to our understanding of branch fusion in mammalian systems.
    MeSH term(s) Animals ; Cytoskeleton/metabolism ; Drosophila/metabolism ; Drosophila melanogaster ; Drosophila Proteins/metabolism ; Mammals ; Microtubules/metabolism ; Morphogenesis ; Trachea/metabolism
    Chemical Substances Drosophila Proteins
    Language English
    Publishing date 2023-11-23
    Publishing country Germany
    Document type Review ; Journal Article
    ISSN 0080-1844
    ISSN 0080-1844
    DOI 10.1007/978-3-031-37936-9_5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Untargeted metabolomics analysis of Mucor racemosus Douchi fermentation process by gas chromatography with time‐of‐flight mass spectrometry

    Li, Pao / Jiang, Liwen

    Food Science & Nutrition, 7(5):1865-1874

    2019  

    Abstract: Intensive study of the metabolome during the Douchi fermentation can provide new knowledge for optimizing the fermentation process. In this work, the metabolic characterization throughout the fermentation of Mucor racemosus Douchi was investigated using ... ...

    Abstract Intensive study of the metabolome during the Douchi fermentation can provide new knowledge for optimizing the fermentation process. In this work, the metabolic characterization throughout the fermentation of Mucor racemosus Douchi was investigated using gas chromatography with time‐of‐flight mass spectrometry. A total of 511 peaks were found, and 114 metabolites were identified. The fermentation process was clearly distinguished into two main phases by principal components analysis and orthogonal partial least squares‐discriminant analysis. All the samples in the score plots were within the 95% Hotelling T2 ellipse. Two separated clusters can be seen clearly in the score plot, which represents the two stages of fermentation: koji‐making (within 48 hr) and postfermentation (after 48 hr). Besides, clear separation and discrimination by both methods were found among different fermentation time within 15 days, while the discrimination cannot be found with more than 15 days of fermentation, indicating that the fermentation of Douchi was finished in 15 days. Due to the synergistic effect of protease and hydrolase accumulated in the early stage, proteins and other big molecular substances are rapidly hydrolyzed into a large number of small molecule components. However, the activity of enzymes decreased with the further fermentation, and some free amino acids were consumed in Maillard reaction. Therefore, there was no significant change in the content of small molecular substances after 15 days of fermentation. Furthermore, the levels of some metabolites such as alanine and lysine involved in the fermentation varied significantly throughout the processes. This study provides new insights for the metabolomics characteristics of Douchi fermentation.
    Keywords GC‐TOF/MS ; Douchi fermentation ; orthogonal partial least squares‐discriminant analysis ; metabolic characterization ; principal components analysis
    Language English
    Document type Article
    Database Repository for Life Sciences

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  4. Article ; Online: Development and Implementation Path of Kindergarten Stem Educational Activities Based on Data Mining.

    Jiang, Liangfu

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 2700674

    Abstract: Early childhood education in China has given stem education constant attention and study. On the one hand, it has introduced many foreign research findings on stem education, such as curriculum practice, evaluation systems, teacher training, and so on; ... ...

    Abstract Early childhood education in China has given stem education constant attention and study. On the one hand, it has introduced many foreign research findings on stem education, such as curriculum practice, evaluation systems, teacher training, and so on; on the other hand, this paper investigates the localization implementation path of stem education based on the realities of kindergartens. This paper investigates the development and implementation path of kindergarten stem education activities using data mining, analyzes how the kindergarten stem education monitoring index system is developed and further improved using data mining algorithm, and determines the function path and mode of data mining algorithm in kindergarten stem education. It is expected to be used as a reference in the development and implementation of stem education and teaching activities. The development and implementation path of kindergarten stem educational activities based on data mining algorithm using data technology to realize continuous audit can not only improve the audit means and scope but also provide new research ideas for the expansion and innovation of audit work, which is useful in building a path model of kindergarten stem educational activities development and implementation.
    MeSH term(s) Child, Preschool ; China ; Curriculum ; Data Mining ; Humans ; Schools
    Language English
    Publishing date 2022-01-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/2700674
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Convolutional Neural Network-Based Cross-Media Semantic Matching and User Adaptive Satisfaction Analysis Model.

    Jiang, Lanlan

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 4244675

    Abstract: In this paper, an in-depth study of cross-media semantic matching and user adaptive satisfaction analysis model is carried out based on the convolutional neural network. Based on the existing convolutional neural network, this paper uses rich information. ...

    Abstract In this paper, an in-depth study of cross-media semantic matching and user adaptive satisfaction analysis model is carried out based on the convolutional neural network. Based on the existing convolutional neural network, this paper uses rich information. The spatial correlation of cross-media semantic matching further improves the classification accuracy of hyperspectral images and reduces the classification time under user adaptive satisfaction complexity. Aiming at the problem that it is difficult for the current hyperspectral image classification method based on convolutional neural network to capture the spatial pose characteristics of objects, the problem is that principal component analysis ignores some vital information when retaining a few components. This paper proposes a polymorphism based on extension Attribute Profile Feature (EMAP) Stereo Capsule Network Model for Hyperspectral Image Classification. To ensure the model has good generalization performance, a new remote sensing image Pan sharpening algorithm based on convolutional neural network is proposed, which increases the model's width to extract the feature information of the image and uses dilated instead of traditional convolution. The experimental results show that the algorithm has good generalization while ensuring self-adaptive satisfaction.
    MeSH term(s) Algorithms ; Neural Networks, Computer ; Personal Satisfaction ; Principal Component Analysis ; Semantics
    Language English
    Publishing date 2022-04-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/4244675
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  6. Article ; Online: Analysis of Students' Role Perceptions and their Tendencies in Classroom Education Based on Visual Inspection.

    Jiang, Lanlan

    publication RETRACTED

    Occupational therapy international

    2022  Volume 2022, Page(s) 3650308

    Abstract: This paper presents an in-depth study and analysis of students' role perceptions and their tendencies in classroom education using a visual inspection approach. A multi example learning student engagement assessment method based on a one-dimensional ... ...

    Abstract This paper presents an in-depth study and analysis of students' role perceptions and their tendencies in classroom education using a visual inspection approach. A multi example learning student engagement assessment method based on a one-dimensional convolutional neural network is proposed. Based on the conceptual composition of student engagement, head posture, eye gaze, and eye-opening and closing states and the most used facial movement units are used as visual features. For feature extraction, the proposed view of relative change features, based on the video features extracted from the Open Face toolset, the standard deviation of the distance between adjacent multiple frames relative to the center point of the three visual features is used as the relative change features of the video. This results in the phenomenon that students are highly motivated in the early stage and significantly increase the rate of absenteeism in the later stage. With the development of information technology injecting new vitality into educational innovation, many researchers have introduced computer vision and image processing technology into students' online learning activities, and understand students' current learning situation by analyzing students' learning status. There are relatively few studies in this area in classroom teaching. Considering the low relative position correlation of the features in the examples, the examples are analyzed using a one-dimensional convolutional neural network to obtain the example-level student engagement, and a multi-example pooling layer is used to infer the student engagement in the video from the example-level student engagement. Finally, the experimental method is used to apply the student classroom attention evaluation detection system to actual classroom teaching activities, and the effectiveness and accuracy of the design of the student classroom attention evaluation detection system are investigated in depth through specific applications and example analysis, and the accuracy of the method of this paper is further verified by communicating feedback with teachers and students in the form of interviews.
    MeSH term(s) Education, Distance ; Humans ; Learning ; Occupational Therapy ; Perception ; Students
    Language English
    Publishing date 2022-04-14
    Publishing country England
    Document type Journal Article ; Retracted Publication
    ZDB-ID 2095334-3
    ISSN 1557-0703 ; 0966-7903
    ISSN (online) 1557-0703
    ISSN 0966-7903
    DOI 10.1155/2022/3650308
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  7. Article ; Online: Eliminating bias: enhancing children's book recommendation using a hybrid model of graph convolutional networks and neural matrix factorization.

    Shen, Lijuan / Jiang, Liping

    PeerJ. Computer science

    2024  Volume 10, Page(s) e1858

    Abstract: Managing user bias in large-scale user review data is a significant challenge in optimizing children's book recommendation systems. To tackle this issue, this study introduces a novel hybrid model that combines graph convolutional networks (GCN) based on ...

    Abstract Managing user bias in large-scale user review data is a significant challenge in optimizing children's book recommendation systems. To tackle this issue, this study introduces a novel hybrid model that combines graph convolutional networks (GCN) based on bipartite graphs and neural matrix factorization (NMF). This model aims to enhance the precision and efficiency of children's book recommendations by accurately capturing user biases. In this model, the complex interactions between users and books are modeled as a bipartite graph, with the users' book ratings serving as the weights of the edges. Through GCN and NMF, we can delve into the structure of the graph and the behavioral patterns of users, more accurately identify and address user biases, and predict their future behaviors. Compared to traditional recommendation systems, our hybrid model excels in handling large-scale user review data. Experimental results confirm that our model has significantly improved in terms of recommendation accuracy and scalability, positively contributing to the advancement of children's book recommendation systems.
    Language English
    Publishing date 2024-02-29
    Publishing country United States
    Document type Journal Article
    ISSN 2376-5992
    ISSN (online) 2376-5992
    DOI 10.7717/peerj-cs.1858
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  8. Article ; Online: Letter to the Editor: How does bile acid-induced IRF3 phosphorylation mediate cholestatic liver and kidney injury?-More needs to be known.

    Jiang, Lingzhen / Yang, Zaixing

    Hepatology (Baltimore, Md.)

    2024  

    Language English
    Publishing date 2024-03-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 604603-4
    ISSN 1527-3350 ; 0270-9139
    ISSN (online) 1527-3350
    ISSN 0270-9139
    DOI 10.1097/HEP.0000000000000813
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1660: 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: His potential injury as the end point of screwing by a continuous recording technique in His bundle pacing: A case report.

    Zhong, Jinyan / Jiang, Longfu

    Pacing and clinical electrophysiology : PACE

    2024  

    Abstract: Background: His bundle pacing (HBP) engaged electrical activation of both ventricles by stimulating the His-Purkinje network, which could avoid marked ventricles dyssynchrony. The lead was given three to five clockwise rotations at the site with the His ...

    Abstract Background: His bundle pacing (HBP) engaged electrical activation of both ventricles by stimulating the His-Purkinje network, which could avoid marked ventricles dyssynchrony. The lead was given three to five clockwise rotations at the site with the His potential to anchor the interventricular septum. In 2018, the Multicenter His Bundle Pacing Collaborative Working Group recommended that the His bundle capture threshold should be lower than 2.5 V/1 ms in non-pacing-dependent patients, and pacing-dependent patients should have a lower adjacent ventricular capture threshold as self-backup. Therefore, to avoid safety issues such as loss of capture caused by increased threshold, we believe that more stringent criteria should be adopted in patients with atrioventricular block (AVB). In previous studies, the connection cable needed to be disconnected during the screwing. When the procedure was finished, the performer found that the patients with His bundle injury could obtain a lower threshold than those without His bundle injury. Although no studies of new bundle branch block (BBB) or AVB by the acute His bundle injury was reported. However, It is worrying that the damage of His bundle seems random during the procedure. How to balance avoiding severe injury with a lower capture threshold? At present, we report a case of light His injury and lower His capture threshold under continuous intracardiac electrocardiogram monitoring.
    Language English
    Publishing date 2024-04-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 424437-0
    ISSN 1540-8159 ; 0147-8389
    ISSN (online) 1540-8159
    ISSN 0147-8389
    DOI 10.1111/pace.14967
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1466: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 399: Show issues

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  10. Article ; Online: Letter to the editor: "Resuscitative transesophageal echocardiography during the acute resuscitation of trauma: A retrospective observational study".

    Jiang, Libing / Zhang, Hongyu

    Journal of critical care

    2024  Volume 81, Page(s) 154539

    MeSH term(s) Humans ; Echocardiography, Transesophageal ; Resuscitation ; Retrospective Studies
    Language English
    Publishing date 2024-02-14
    Publishing country United States
    Document type Observational Study ; Letter
    ZDB-ID 632818-0
    ISSN 1557-8615 ; 0883-9441
    ISSN (online) 1557-8615
    ISSN 0883-9441
    DOI 10.1016/j.jcrc.2024.154539
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    Zs.A 2152: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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