LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 16921

Search options

  1. Article ; Online: Load balance -aware dynamic cloud-edge-end collaborative offloading strategy.

    Fan, Yueqi

    PloS one

    2024  Volume 19, Issue 1, Page(s) e0296897

    Abstract: Cloud-edge-end (CEE) computing is a hybrid computing paradigm that converges the principles of edge and cloud computing. In the design of CEE systems, a crucial challenge is to develop efficient offloading strategies to achieve the collaboration of edge ... ...

    Abstract Cloud-edge-end (CEE) computing is a hybrid computing paradigm that converges the principles of edge and cloud computing. In the design of CEE systems, a crucial challenge is to develop efficient offloading strategies to achieve the collaboration of edge and cloud offloading. Although CEE offloading problems have been widely studied under various backgrounds and methodologies, load balance, which is an indispensable scheme in CEE systems to ensure the full utilization of edge resources, is still a factor that has not yet been accounted for. To fill this research gap, we are devoted to developing a dynamic load balance -aware CEE offloading strategy. First, we propose a load evolution model to characterize the influences of offloading strategies on the system load dynamics and, on this basis, establish a latency model as a performance metric of different offloading strategies. Then, we formulate an optimal control model to seek the optimal offloading strategy that minimizes the latency. Second, we analyze the feasibility of typical optimal control numerical methods in solving our proposed model, and develop a numerical method based on the framework of genetic algorithm. Third, through a series of numerical experiments, we verify our proposed method. Results show that our method is effective.
    MeSH term(s) Awareness ; Cloud Computing
    Language English
    Publishing date 2024-01-12
    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.0296897
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  2. Article ; Online: Unequal effects of climate intervention on agriculture.

    Fan, Yuanchao

    Nature food

    2023  Volume 4, Issue 10, Page(s) 835–836

    MeSH term(s) Agriculture ; Climate
    Language English
    Publishing date 2023-10-05
    Publishing country England
    Document type Journal Article
    ISSN 2662-1355
    ISSN (online) 2662-1355
    DOI 10.1038/s43016-023-00861-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  3. Article ; Online: Tubulin folding cofactor B regulates microtubule homeostasis through an evolutionarily conserved pathway.

    Fan, Yuanwei

    The New phytologist

    2023  Volume 239, Issue 5, Page(s) 1537–1538

    MeSH term(s) Tubulin/metabolism ; Microtubules/metabolism ; Microtubule-Associated Proteins/metabolism ; Homeostasis ; Protein Binding
    Chemical Substances Tubulin ; Microtubule-Associated Proteins
    Language English
    Publishing date 2023-06-30
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 208885-x
    ISSN 1469-8137 ; 0028-646X
    ISSN (online) 1469-8137
    ISSN 0028-646X
    DOI 10.1111/nph.19107
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Bonn / Germany

    Z 868: Show issues

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  4. Article: Collaborative integration, workplace flexibility and scholarly productivity: Evidence from the COVID-19 outbreak.

    Fan, Ying

    The Quarterly review of economics and finance : journal of the Midwest Economics Association

    2022  Volume 87, Page(s) 1–15

    Abstract: In this paper, we exploit the natural experiment of the COVID-19 outbreak and investigate the role of collaborative integration and workplace flexibility in scholarly productivity. Using data on the quantity and quality of the journal and working paper ... ...

    Abstract In this paper, we exploit the natural experiment of the COVID-19 outbreak and investigate the role of collaborative integration and workplace flexibility in scholarly productivity. Using data on the quantity and quality of the journal and working paper submissions, we first identify a discontinuity pattern in the productivity of Chinese scholars around the Chinese New Year (CNY). Second, we find that COVID-19 has a negative impact on the productivity of Chinese scholars in terms of quantity and quality post-CNY. Furthermore, the short-term detrimental effect on scholarly productivity is induced mainly through the channel of collaborative integration and workplace flexibility due to mitigation policy shocks in terms of social distancing and working-from-home arrangements. The results suggest while advances in virtual communication technologies can facilitate productivity by lowering collaboration costs, virtual team communication cannot be a perfect substitute for face-to-face communication in collaborative integration. In addition, higher workplace flexibility might hinder productivity in sectors relying more on the skills of self-management and discipline.
    Language English
    Publishing date 2022-11-05
    Publishing country United States
    Document type Journal Article
    ISSN 1062-9769
    ISSN 1062-9769
    DOI 10.1016/j.qref.2022.11.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  5. Article: Reviewing the Effect of English as a Foreign Language Teachers' Positive and Negative Affectivity on Their Work Engagement.

    Fan, Yuguo

    Frontiers in psychology

    2022  Volume 13, Page(s) 852687

    Abstract: This review strives to illuminate the related studies on the effect of English as a Foreign Language (EFL) teachers' positive and negative emotions on their work engagement. The negative correlations among teachers' boredom, apprehension, shame, ... ...

    Abstract This review strives to illuminate the related studies on the effect of English as a Foreign Language (EFL) teachers' positive and negative emotions on their work engagement. The negative correlations among teachers' boredom, apprehension, shame, frustration, and work engagement have been confirmed in the review of the literature. Furthermore, few studies have validated the effect of teachers' positive emotions, such as enjoyment and pride, on their work engagement in educational contexts. The studies showed that some factors, such as teacher self-efficacy, teacher self-sufficiency, increased academic challenges, and ambiguity in educational contexts, can mediate the relationship between teachers' negative emotions and work engagement. The review of literature has emphasized the mediating role of growth mindset in the relationship between teachers' positive emotions and work engagement. To improve the language teaching quality, the pedagogical implications are explained in the end. Some suggestions for further research are provided to expand the literature about teachers' emotional variables.
    Language English
    Publishing date 2022-02-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.852687
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  6. Book ; Online: Rumour Detection and Analysis on Twitter

    Fan, Yaohou

    2023  

    Abstract: In recent years people have become increasingly reliant on social media to read news and get information, and some social media users post unsubstantiated information to gain attention. Such information is known as rumours. Nowadays, rumour detection is ... ...

    Abstract In recent years people have become increasingly reliant on social media to read news and get information, and some social media users post unsubstantiated information to gain attention. Such information is known as rumours. Nowadays, rumour detection is receiving a growing amount of attention because of the pandemic of the New Coronavirus, which has led to a large number of rumours being spread. In this paper, a Natural Language Processing (NLP) system is built to predict rumours. The best model is applied to the COVID-19 tweets to conduct exploratory data analysis. The contribution of this study is twofold: (1) to compare rumours and facts using state-of-the-art natural language processing models in two dimensions: language structure and propagation route. (2) An analysis of how rumours differ from facts in terms of their lexical use and the emotions they imply. This study shows that linguistic structure is a better feature to distinguish rumours from facts compared to the propagation path. In addition, rumour tweets contain more vocabulary related to politics and negative emotions.

    Comment: Has been accepted by the 2nd International Conference on Computing Innovation and Applied Physics(CONF-CIAP 2023)
    Keywords Computer Science - Computation and Language ; Computer Science - Artificial Intelligence
    Publishing date 2023-04-04
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  7. Article ; Online: Causal relationship between COVID-19 and chronic pain: A mendelian randomization study.

    Fan, Yuchao / Liang, Xiao

    PloS one

    2024  Volume 19, Issue 1, Page(s) e0295982

    Abstract: Objective: COVID-19 is a highly transmissible disease that can result in long-term symptoms, including chronic pain. However, the mechanisms behind the persistence of long-COVID pain are not yet fully elucidated, highlighting the need for further ... ...

    Abstract Objective: COVID-19 is a highly transmissible disease that can result in long-term symptoms, including chronic pain. However, the mechanisms behind the persistence of long-COVID pain are not yet fully elucidated, highlighting the need for further research to establish causality. Mendelian randomization (MR), a statistical technique for determining a causal relationship between exposure and outcome, has been employed in this study to investigate the association between COVID-19 and chronic pain.
    Material and methods: The IVW, MR Egger, and weighted median methods were employed. Heterogeneity was evaluated using Cochran's Q statistic. MR Egger intercept and MR-PRESSO tests were performed to detect pleiotropy. The Bonferroni method was employed for the correction of multiple testing. R software was used for all statistical analyses.
    Result: Based on the IVW method, hospitalized COVID-19 patients exhibit a higher risk of experiencing lower leg joint pain compared to the normal population. Meanwhile, the associations between COVID-19 hospitalization and back pain, headache, and pain all over the body were suggestive. Additionally, COVID-19 patients requiring hospitalization were found to have a suggestive higher risk of experiencing neck or shoulder pain and pain all over the body compared to those who did not require hospitalization. Patients with severe respiratory-confirmed COVID-19 showed a suggestive increased risk of experiencing pain all over the body compared to the normal population.
    Conclusion: Our study highlights the link between COVID-19 severity and pain in different body regions, with implications for targeted interventions to reduce COVID-19 induced chronic pain burden.
    MeSH term(s) Humans ; Chronic Pain/complications ; Chronic Pain/epidemiology ; Chronic Pain/genetics ; Post-Acute COVID-19 Syndrome ; Mendelian Randomization Analysis ; COVID-19/epidemiology ; Causality ; Genome-Wide Association Study
    Language English
    Publishing date 2024-01-19
    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.0295982
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  8. Article ; Online: Environmental causality calibration: Advancing WLAN RF fingerprinting for precise indoor localization.

    Fan, Yufeng / Sun, Haotai

    PloS one

    2024  Volume 19, Issue 2, Page(s) e0297108

    Abstract: In recent years, considerable and valuable research progress has been made in indoor positioning technologies based on WLAN Radio Frequency (RF) fingerprinting, identifying it as one of the most promising positioning technologies with substantial ... ...

    Abstract In recent years, considerable and valuable research progress has been made in indoor positioning technologies based on WLAN Radio Frequency (RF) fingerprinting, identifying it as one of the most promising positioning technologies with substantial potential for wider adoption. However, indoor environmental factors significantly influence the propagation of wireless RF signals, resulting in a considerable decrease in positioning accuracy as the indoor environmental conditions vary. Thus, effectively mitigating the impact of indoor environmental factors on WLAN RF fingerprinting-based positioning systems has become a crucial research problem. Currently, there is a dearth of comprehensive research on the influence of indoor climatic factors, particularly the variations in relative humidity, on the propagation of WLAN RF signals within indoor spaces and its consequential impact on positioning accuracy. To address the aforementioned issues, this paper proposes an Adaptive expansion fingerprint database (AeFd) model based on a regression learning algorithm. The AeFd, through the design of a relationship model describing the interaction between fingerprint databases under varying relative humidity, allows the fingerprint database expanded by AeFd to dynamically adapt to the changes in indoor relative humidity. Our experiments show that using the AeFd model with the KNN algorithm, a 5% performance improvement was observed over 10 days and an 8% improvement over 10 months. According to experimental test results, the fingerprint database expansion model AeFd proposed in this paper can effectively expand the fingerprint database under different relative humidity levels, thereby significantly enhancing the positioning performance of the system and improving its stability.
    MeSH term(s) Calibration ; Algorithms ; Causality ; Databases, Factual ; Ethical Theory
    Language English
    Publishing date 2024-02-29
    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.0297108
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  9. Article ; Online: Manipulation of Bowl-Shaped Nanoparticles Self-Assembled from a Bipyridine Pendant Containing Homopolymer.

    Fan, Yirong / Sun, Hui

    Langmuir : the ACS journal of surfaces and colloids

    2024  Volume 40, Issue 11, Page(s) 5828–5836

    Abstract: The morphological control and transformation of soft nanomaterials are critical for their physical and chemical properties, which can be achieved by dynamically regulating the hydrophilicity of amphiphilic polymers during self-assembly. Herein, an ... ...

    Abstract The morphological control and transformation of soft nanomaterials are critical for their physical and chemical properties, which can be achieved by dynamically regulating the hydrophilicity of amphiphilic polymers during self-assembly. Herein, an amphiphilic homopolymer poly(
    Language English
    Publishing date 2024-03-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2005937-1
    ISSN 1520-5827 ; 0743-7463
    ISSN (online) 1520-5827
    ISSN 0743-7463
    DOI 10.1021/acs.langmuir.3c03712
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  10. Article ; Online: An Infrared Image Defect Detection Method for Steel Based on Regularized YOLO.

    Zou, Yongqiang / Fan, Yugang

    Sensors (Basel, Switzerland)

    2024  Volume 24, Issue 5

    Abstract: Steel surfaces often display intricate texture patterns that can resemble defects, posing a challenge in accurately identifying actual defects. Therefore, it is crucial to develop a highly robust defect detection model. This study proposes a defect ... ...

    Abstract Steel surfaces often display intricate texture patterns that can resemble defects, posing a challenge in accurately identifying actual defects. Therefore, it is crucial to develop a highly robust defect detection model. This study proposes a defect detection method for steel infrared images based on a Regularized YOLO framework. Firstly, the Coordinate Attention (CA) is embedded within the C2F framework, utilizing a lightweight attention module to enhance the feature extraction capability of the backbone network. Secondly, the neck part design incorporates the Bi-directional Feature Pyramid Network (BiFPN) for weighted fusion of multi-scale feature maps. This creates a model called BiFPN-Concat, which enhances feature fusion capability. Finally, the loss function of the model is regularized to improve the generalization performance of the model. The experimental results indicate that the model has only 3.03 M parameters, yet achieves a mAP@0.5 of 80.77% on the NEU-DET dataset and 99.38% on the ECTI dataset. This represents an improvement of 2.3% and 1.6% over the baseline model, respectively. This method is well-suited for industrial detection applications involving non-destructive testing of steel using infrared imagery.
    Language English
    Publishing date 2024-03-05
    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/s24051674
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

To top