LIVIVO - Das Suchportal für Lebenswissenschaften

switch to English language
Erweiterte Suche

Suchergebnis

Treffer 1 - 10 von insgesamt 311

Suchoptionen

  1. Artikel ; Online: Weighted Signed Networks Reveal Interactions between US Foreign Exchange Rates.

    Yang, Leixin / Wang, Haiying / Gu, Changgui / Yang, Huijie

    Entropy (Basel, Switzerland)

    2024  Band 26, Heft 2

    Abstract: Correlations between exchange rates are valuable for illuminating the dynamics of international trade and the financial dynamics of countries. This paper explores the changing interactions of the US foreign exchange market based on detrended cross- ... ...

    Abstract Correlations between exchange rates are valuable for illuminating the dynamics of international trade and the financial dynamics of countries. This paper explores the changing interactions of the US foreign exchange market based on detrended cross-correlation analysis. First, we propose an objective way to choose a time scale parameter appropriate for comparing different samples by maximizing the summed magnitude of all DCCA coefficients. We then build weighted signed networks under this optimized time scale, which can clearly display the complex relationships between different exchange rates. Our study shows negative cross-correlations have become pyramidally rare in the past three decades. Both the number and strength of positive cross-correlations have grown, paralleling the increase in global interconnectivity. The balanced strong triads are identified subsequently after the network centrality analysis. Generally, while the strong development links revealed by foreign exchange have begun to spread to Asia since 2010, Europe is still the center of world finance, with the euro and Danish krone consistently maintaining the closest balanced development relationship. Finally, we propose a fluctuation propagation algorithm to investigate the propagation pattern of fluctuations in the inferred exchange rate networks. The results show that, over time, fluctuation propagation patterns have become simpler and more predictable.
    Sprache Englisch
    Erscheinungsdatum 2024-02-12
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e26020161
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Zusatzmaterialien

    Kategorien

  2. Artikel ; Online: Do Chinese Farmers Misuse Pesticide Intentionally or Not?

    Li Zhao / Changwei Wang / Haiying Gu / Chengyan Yue

    Agriculture, Vol 13, Iss 1749, p

    2023  Band 1749

    Abstract: Nonstandard pesticide-application behavior leads to excessive pesticide residue and even affects the quality and safety of agricultural products and agricultural sustainability. Based on 968 valid samples randomly selected in Jiangsu Province of China, ... ...

    Abstract Nonstandard pesticide-application behavior leads to excessive pesticide residue and even affects the quality and safety of agricultural products and agricultural sustainability. Based on 968 valid samples randomly selected in Jiangsu Province of China, it focuses on the impact of incident shock and yield fluctuation avoidance on the pesticide-application behavior of farmers. Then, it investigated the impact of intentional factors, such as insufficient cognition and lack of knowledge, on their improper pesticide-application behavior. This study shows that, besides the pursuit of improper income, inadequate awareness and preventive actions to avoid operational risks are also important factors in farmers’ nonstandard pesticide application. In addition, the study also shows that farmers who understand the responsibility unit of agricultural product quality and safety supervision are more inclined to choose standardized application of pesticides. The higher the education level of farmers, the higher the probability of standardized application of pesticides. Therefore, farmers’ nonstandard pesticide-application behavior is largely due to the farmers’ insufficient awareness of the harm of pesticide residues or the lack of trust in the efficacy of pesticides. Moreover, the study also shows that adverse selection phenomenon exists in pesticide-application training.
    Schlagwörter quality and safety ; pesticide application ; risk aversion ; incidents shock ; Agriculture (General) ; S1-972
    Thema/Rubrik (Code) 910
    Sprache Englisch
    Erscheinungsdatum 2023-09-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Zusatzmaterialien

    Kategorien

  3. Artikel ; Online: Role of Flagella in the Pathogenesis of Helicobacter pylori.

    Gu, Haiying

    Current microbiology

    2017  Band 74, Heft 7, Seite(n) 863–869

    Abstract: This review aimed to investigate the role of Helicobacter pylori flagella on the pathogenicity of this bacterium in humans. Helicobacter pylori is a flagellated pathogen that colonizes the human gastroduodenal mucosa and produces inflammation, and is ... ...

    Abstract This review aimed to investigate the role of Helicobacter pylori flagella on the pathogenicity of this bacterium in humans. Helicobacter pylori is a flagellated pathogen that colonizes the human gastroduodenal mucosa and produces inflammation, and is responsible for gastrointestinal disease. Its pathogenesis is attributed to colonization and virulence factors. The primary function of H. pylori flagella is to provide motility. We believe that H. pylori flagella play an important role in the colonization of the gastrointestinal mucosa. Therefore, we reviewed previous studies on flagellar morphology and motility in order to explore the relationship between H. pylori flagella and pathogenicity. Further investigation is required to confirm the association between flagella and pathogenicity in H. pylori.
    Sprache Englisch
    Erscheinungsdatum 2017-07
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Review
    ZDB-ID 134238-1
    ISSN 1432-0991 ; 0343-8651
    ISSN (online) 1432-0991
    ISSN 0343-8651
    DOI 10.1007/s00284-017-1256-4
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Zusatzmaterialien

    Kategorien

  4. Artikel ; Online: The effect of LINC9137 targeting miR-140-3p-NKAIN3 signal axis on the development of goose testis sertoli cells.

    Yingping, Wu / Lizhi, Lu / Haiying, Li / Li, Chen / Tiantian, Gu / Xiaoyu, Zhao / Yingying, Yao / Jiahui, Li

    Poultry science

    2024  Band 103, Heft 6, Seite(n) 103724

    Abstract: Sertoli cells (SC) are a type of important cells in the testes, which can provide transport proteins, regulatory proteins, growth factors, and other cytokines for the spermatogenic process. They participate in the regulation of the maturation and ... ...

    Abstract Sertoli cells (SC) are a type of important cells in the testes, which can provide transport proteins, regulatory proteins, growth factors, and other cytokines for the spermatogenic process. They participate in the regulation of the maturation and differentiation of spermatogenic cells and play an important supporting role in the migration, proliferation, and differentiation of germ cells at all levels in the testes. Previous studies found differential expression of LINC9137, miR-140-3p, and Sodium/Potassium Transporting ATPase Interacting 3 (NKAIN3) genesin high and low sperm motility goose testicular tissues. This study investigated the effects of the LINC9137-miR-140-3p-NKAIN3 signal axis on the proliferation and apoptosis of goose testicular sertoli cells at the cellular level, respectively. The results showed that through acridine orange staining, oil red O staining, Alkaline phosphatase (AKP) staining, and RT qPCR assay, it was comprehensively identified that the cultured testicular sertoli cells were purified in vitro. Through the dual luciferase activity detection test, it was found that LINC9137 has a targeted binding site with miR-140-3p and NKAIN3. In addition, this study found that overexpression of miR-140-3p significantly inhibited the expression of LINC9137 and NKAIN3 in sertoli cells, and their expression was significantly increased when miR-140-3p was interfered with. By measuring cell proliferation activity and apoptosis related gene expression, it was found that overexpression of LINC9137 decreased cell proliferation activity (P > 0.05), while the expression level of apoptosis factor Bcl2 Associated X Protein (Bax)/B-cell lymphoma-2 (Bcl2) increased (P > 0.05). On the contrary, when interfering with LINC9137, the cell proliferation activity of sertoli cells was significantly increased (P < 0.01), and the expression level of apoptosis factor Bax/Bcl2 was significantly reduced (P < 0.05); The effect of miR-140-3p on the proliferation and apoptosis of sertoli cells is opposite to that of LINC9137. Meanwhile, this study co transfected overexpressed LINC9137 and miR-140-3p plasmids into sertoli cells, and found that the effect of LINC9137 overexpression on supporting cell proliferation was weakened by miR-140-3p. This study elucidates the role and function of the LINC9137 miR-140-3p-NKAIN3 signaling axis in the development of goose testes and spermatogenesis, establishes a regulatory network related to spermatogenesis, and provides a theoretical basis for studying the genetic regulation of goose spermatogenesis.
    Sprache Englisch
    Erscheinungsdatum 2024-04-04
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 242586-5
    ISSN 1525-3171 ; 0032-5791
    ISSN (online) 1525-3171
    ISSN 0032-5791
    DOI 10.1016/j.psj.2024.103724
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Zusatzmaterialien

    Kategorien

  5. Artikel ; Online: Generating Paired Seismic Training Data with Cycle-Consistent Adversarial Networks

    Zheng Zhang / Zhe Yan / Jiankun Jing / Hanming Gu / Haiying Li

    Remote Sensing, Vol 15, Iss 1, p

    2023  Band 265

    Abstract: Deep-learning-based seismic data interpretation has received extensive attention and focus in recent years. Research has shown that training data play a key role in the process of intelligent seismic interpretation. At present, the main methods used to ... ...

    Abstract Deep-learning-based seismic data interpretation has received extensive attention and focus in recent years. Research has shown that training data play a key role in the process of intelligent seismic interpretation. At present, the main methods used to obtain training data are synthesizing seismic data and manually labeling the real data. However, synthetic data have certain feature differences from real data, and the manual labeling of data is time-consuming and subjective. These factors limit the application of deep learning algorithms in seismic data interpretation. To obtain realistic seismic training data, we propose label-to-data networks based on cycle-consistent adversarial networks in this work. These networks take random labels and unlabeled real seismic data as input and generate synthetic seismic data that match the random labels and have similar features to the real seismic data. Quantitative analysis of the generated data demonstrate the effectiveness of the proposed methods. Meanwhile, test results on different data indicate that the generated data are reliable and can be applied for seismic fault detection.
    Schlagwörter generating paired seismic data ; generative adversarial networks ; seismic fault detection ; Science ; Q
    Thema/Rubrik (Code) 550
    Sprache Englisch
    Erscheinungsdatum 2023-01-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Zusatzmaterialien

    Kategorien

  6. Artikel ; Online: Towards building a firm metaverse security base

    Li Anmin / Yao Xiaohui / Gu Haiying / Zhang Yungeng / Chang Yuan

    Security and Safety, Vol 2, p

    2023  Band 2023005

    Abstract: The Metaverse is a significant field that is currently receiving considerable attention from both the industry and academia. The transformation of the Metaverse from science fiction to reality is being actively promoted by technology, industry, and ... ...

    Abstract The Metaverse is a significant field that is currently receiving considerable attention from both the industry and academia. The transformation of the Metaverse from science fiction to reality is being actively promoted by technology, industry, and capital. However, the development of the Metaverse is still in its early stages, and the system architecture and theoretical technology of the Metaverse are not yet mature. This paper provides a comprehensive analysis of the Metaverse and summarizes its holographic, omnipotent, multidimensional, and multifaceted characteristics. The development of the Metaverse is founded on the relevant infrastructure, and we elaborate on the primary components of the Metaverse infrastructure. Furthermore, we systematically summarize the security risks inherent in the Metaverse infrastructure. Based on this, we propose utilizing the system security technology concept to guide the construction of a Metaverse security protection system from various perspectives at each level of computing, cloud, network, digital assets, and terminals, in order to construct a secure foundation for addressing the Metaverse’s security risks and challenges.
    Schlagwörter metaverse ; new infrastructure ; security base ; highly trusted network ; trusted identiry ; trusted circulation of data ; Electronic computers. Computer science ; QA75.5-76.95
    Thema/Rubrik (Code) 303
    Sprache Englisch
    Erscheinungsdatum 2023-01-01T00:00:00Z
    Verlag EDP Sciences
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Zusatzmaterialien

    Kategorien

  7. Artikel ; Online: Do Chinese Farmers Misuse Pesticide Intentionally or Not?

    Zhao, Li / Wang, Changwei / Gu, Haiying / Yue, Chengyan

    Agriculture. 2023 Sept. 03, v. 13, no. 9

    2023  

    Abstract: Nonstandard pesticide-application behavior leads to excessive pesticide residue and even affects the quality and safety of agricultural products and agricultural sustainability. Based on 968 valid samples randomly selected in Jiangsu Province of China, ... ...

    Abstract Nonstandard pesticide-application behavior leads to excessive pesticide residue and even affects the quality and safety of agricultural products and agricultural sustainability. Based on 968 valid samples randomly selected in Jiangsu Province of China, it focuses on the impact of incident shock and yield fluctuation avoidance on the pesticide-application behavior of farmers. Then, it investigated the impact of intentional factors, such as insufficient cognition and lack of knowledge, on their improper pesticide-application behavior. This study shows that, besides the pursuit of improper income, inadequate awareness and preventive actions to avoid operational risks are also important factors in farmers’ nonstandard pesticide application. In addition, the study also shows that farmers who understand the responsibility unit of agricultural product quality and safety supervision are more inclined to choose standardized application of pesticides. The higher the education level of farmers, the higher the probability of standardized application of pesticides. Therefore, farmers’ nonstandard pesticide-application behavior is largely due to the farmers’ insufficient awareness of the harm of pesticide residues or the lack of trust in the efficacy of pesticides. Moreover, the study also shows that adverse selection phenomenon exists in pesticide-application training.
    Schlagwörter agriculture ; cognition ; educational status ; income ; pesticide application ; pesticide residues ; pesticides ; probability ; product quality ; sustainable agriculture ; China
    Sprache Englisch
    Erscheinungsverlauf 2023-0903
    Erscheinungsort Multidisciplinary Digital Publishing Institute
    Dokumenttyp Artikel ; Online
    ZDB-ID 2651678-0
    ISSN 2077-0472
    ISSN 2077-0472
    DOI 10.3390/agriculture13091749
    Datenquelle NAL Katalog (AGRICOLA)

    Zusatzmaterialien

    Kategorien

  8. Artikel ; Online: Risk Amplification, Risk Preference and Acceptance of Transgenic Technology

    Zhao, Li / Liu, Shumin / Gu, Haiying / Ahlstrom, David

    Agriculture. 2023 Sept. 25, v. 13, no. 10

    2023  

    Abstract: Consumer preferences and attitudes toward genetically modified (GM) food have been widely studied, yet there is little research on the aspects of farmers and risk amplification. Based on both a field survey and an experiment conducted in villages in ... ...

    Abstract Consumer preferences and attitudes toward genetically modified (GM) food have been widely studied, yet there is little research on the aspects of farmers and risk amplification. Based on both a field survey and an experiment conducted in villages in China’s eastern provinces of Shandong, Shanxi and Henan in 2021, we explore the impact of producers’ risk amplification and risk preferences on the acceptance of transgenic technology. Results show that only 37.3% of participants from the whole sample did not amplify the risk associated with GM products. In terms of regions, the percentages of participants in Henan, Shanxi and Shandong who amplified the risk associated with GM products were 65.3%, 62.4% and 60%, respectively. Moreover, the results of the economic experiment on risk preference indicate that over two-thirds of farmers proved to be risk-averse. Finally, full sample estimation results using ordered logit and Poisson models showed that risk amplification, relative risk aversion and risk perception all have negative impacts on producers’ response to GM plant seeds, including participants’ acceptance intention, purchasing intention and recommendation intention.
    Schlagwörter agriculture ; genetic engineering ; genetically modified plants ; relative risk ; risk perception ; surveys ; China
    Sprache Englisch
    Erscheinungsverlauf 2023-0925
    Erscheinungsort Multidisciplinary Digital Publishing Institute
    Dokumenttyp Artikel ; Online
    ZDB-ID 2651678-0
    ISSN 2077-0472
    ISSN 2077-0472
    DOI 10.3390/agriculture13101871
    Datenquelle NAL Katalog (AGRICOLA)

    Zusatzmaterialien

    Kategorien

  9. Artikel ; Online: A lightweight YOLOv3 algorithm used for safety helmet detection

    Lixia Deng / Hongquan Li / Haiying Liu / Jason Gu

    Scientific Reports, Vol 12, Iss 1, Pp 1-

    2022  Band 15

    Abstract: Abstract YOLOv3 is a popular and effective object detection algorithm. However, YOLOv3 has a complex network, and floating point operations (FLOPs) and parameter sizes are large. Based on this, the paper designs a new YOLOv3 network and proposes a ... ...

    Abstract Abstract YOLOv3 is a popular and effective object detection algorithm. However, YOLOv3 has a complex network, and floating point operations (FLOPs) and parameter sizes are large. Based on this, the paper designs a new YOLOv3 network and proposes a lightweight object detection algorithm. First, two excellent networks, the Cross Stage Partial Network (CSPNet) and GhostNet, are integrated to design a more efficient residual network, CSP-Ghost-Resnet. Second, combining CSPNet and Darknet53, this paper designs a new backbone network, the ML-Darknet, to realize the gradient diversion of the backbone network. Finally, we design a lightweight multiscale feature extraction network, the PAN-CSP-Network. The newly designed network is named mini and lightweight YOLOv3 (ML-YOLOv3). Based on the helmet dataset, the FLPSs and parameter sizes of ML-YOLOv3 are only 29.7% and 29.4% of those of YOLOv3. Compared with YOLO5, ML-YOLOv3 also exhibits obvious advantages in calculation cost and detection effect.
    Schlagwörter Medicine ; R ; Science ; Q
    Thema/Rubrik (Code) 006
    Sprache Englisch
    Erscheinungsdatum 2022-06-01T00:00:00Z
    Verlag Nature Portfolio
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Zusatzmaterialien

    Kategorien

  10. Artikel ; Online: A lightweight YOLOv3 algorithm used for safety helmet detection.

    Deng, Lixia / Li, Hongquan / Liu, Haiying / Gu, Jason

    Scientific reports

    2022  Band 12, Heft 1, Seite(n) 10981

    Abstract: YOLOv3 is a popular and effective object detection algorithm. However, YOLOv3 has a complex network, and floating point operations (FLOPs) and parameter sizes are large. Based on this, the paper designs a new YOLOv3 network and proposes a lightweight ... ...

    Abstract YOLOv3 is a popular and effective object detection algorithm. However, YOLOv3 has a complex network, and floating point operations (FLOPs) and parameter sizes are large. Based on this, the paper designs a new YOLOv3 network and proposes a lightweight object detection algorithm. First, two excellent networks, the Cross Stage Partial Network (CSPNet) and GhostNet, are integrated to design a more efficient residual network, CSP-Ghost-Resnet. Second, combining CSPNet and Darknet53, this paper designs a new backbone network, the ML-Darknet, to realize the gradient diversion of the backbone network. Finally, we design a lightweight multiscale feature extraction network, the PAN-CSP-Network. The newly designed network is named mini and lightweight YOLOv3 (ML-YOLOv3). Based on the helmet dataset, the FLPSs and parameter sizes of ML-YOLOv3 are only 29.7% and 29.4% of those of YOLOv3. Compared with YOLO5, ML-YOLOv3 also exhibits obvious advantages in calculation cost and detection effect.
    Mesh-Begriff(e) Algorithms ; Head Protective Devices
    Sprache Englisch
    Erscheinungsdatum 2022-06-29
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-15272-w
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Zusatzmaterialien

    Kategorien

Zum Seitenanfang