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  1. Article ; Online: Regulation of circadian rhythms by clock protein nuclear bodies.

    Yuan, Ye / Yadlapalli, Swathi

    Proceedings of the National Academy of Sciences of the United States of America

    2024  Volume 121, Issue 5, Page(s) e2321334121

    MeSH term(s) CLOCK Proteins/genetics ; CLOCK Proteins/metabolism ; Circadian Rhythm/physiology ; Nuclear Bodies ; Circadian Clocks
    Chemical Substances CLOCK Proteins (EC 2.3.1.48)
    Language English
    Publishing date 2024-01-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2321334121
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1148: 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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  2. Book ; Online: Unified Simulation, Perception, and Generation of Human Behavior

    Yuan, Ye

    2022  

    Abstract: Understanding and modeling human behavior is fundamental to almost any computer vision and robotics applications that involve humans. In this thesis, we take a holistic approach to human behavior modeling and tackle its three essential aspects -- ... ...

    Abstract Understanding and modeling human behavior is fundamental to almost any computer vision and robotics applications that involve humans. In this thesis, we take a holistic approach to human behavior modeling and tackle its three essential aspects -- simulation, perception, and generation. Throughout the thesis, we show how the three aspects are deeply connected and how utilizing and improving one aspect can greatly benefit the other aspects. We also discuss the lessons learned and our vision for what is next for human behavior modeling.

    Comment: PhD thesis
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Artificial Intelligence ; Computer Science - Machine Learning ; Computer Science - Robotics
    Publishing date 2022-04-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: External Connectivity Evaluation of Community Open Spaces for Older Adults.

    Sun, Yi / Yuan, Ye

    Journal of aging and physical activity

    2023  Volume 31, Issue 4, Page(s) 576–588

    Abstract: External connectivity refers to the service opportunities provided by community open spaces that are influenced by the factors such as traffic distance, road conditions, residence patterns, and population distribution. It is an important factor in ... ...

    Abstract External connectivity refers to the service opportunities provided by community open spaces that are influenced by the factors such as traffic distance, road conditions, residence patterns, and population distribution. It is an important factor in determining access to community open spaces. This has important implications for promoting walking behavior and community physical activity among aging urban populations. Using the accessibility evaluation method, we proposed an external connectivity of the community open spaces model from the community perspective and conducted an empirical study using the Overseas Chinese Town community in Shenzhen as an example. External connectivity of the community open spaces can be used to evaluate the efficiency of community open spaces, serving as a reference for open space optimization. Moreover, it has applicable value in promoting physical activity and healthy aging among older adults.
    MeSH term(s) Humans ; Aged ; Residence Characteristics ; Exercise ; Cities ; Urban Population ; Aging ; Walking
    Language English
    Publishing date 2023-01-20
    Publishing country United States
    Document type Journal Article
    ISSN 1543-267X
    ISSN (online) 1543-267X
    DOI 10.1123/japa.2022-0028
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  4. Article ; Online: Recent advances in computational studies on Cu-catalyzed aerobic reactions: cooperation of copper catalysts and dioxygen.

    Jiang, Yuan-Ye / Chen, Chao

    Organic & biomolecular chemistry

    2023  Volume 21, Issue 39, Page(s) 7852–7872

    Abstract: ... ...

    Abstract O
    Language English
    Publishing date 2023-10-11
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2097583-1
    ISSN 1477-0539 ; 1477-0520
    ISSN (online) 1477-0539
    ISSN 1477-0520
    DOI 10.1039/d3ob00976a
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  5. Article ; Online: Moving-Principal-Component-Analysis-Based Structural Damage Detection for Highway Bridges in Operational Environments.

    Yuan, Ye / Zhu, Xinqun / Li, Jun

    Sensors (Basel, Switzerland)

    2024  Volume 24, Issue 2

    Abstract: With the deterioration of bridge performance and ever-increasing amounts of traffic, bridge safety is becoming a concern for the engineering community. A method that can assess a bridge's condition in real time is urgently needed. The main factors that ... ...

    Abstract With the deterioration of bridge performance and ever-increasing amounts of traffic, bridge safety is becoming a concern for the engineering community. A method that can assess a bridge's condition in real time is urgently needed. The main factors that hinder bridge condition assessment are the uncertain operational environments. A new moving principal component analysis (MPCA)-based method is developed for structural damage detection in bridges in operational environments in this paper. Two main operational environmental factors, the environmental temperature and traffic loads, are studied in the assessment process to verify the robustness and practicality of the proposed method. The numerical and experimental results show that the proposed method is effective and accurate in assessing the bridge's condition in operational environments.
    Language English
    Publishing date 2024-01-08
    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/s24020383
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  6. Article ; Online: One-step CRISPR-based Strategy for Endogenous Gene Tagging in Drosophila melanogaster.

    Xiao, Yangbo / Yuan, Ye / Yadlapalli, Swathi

    Journal of visualized experiments : JoVE

    2024  , Issue 203

    Abstract: The study of protein subcellular localization, dynamics, and regulation in live cells has been profoundly transformed by the advent of techniques that allow the tagging of endogenous genes to produce fluorescent fusion proteins. These methods enable ... ...

    Abstract The study of protein subcellular localization, dynamics, and regulation in live cells has been profoundly transformed by the advent of techniques that allow the tagging of endogenous genes to produce fluorescent fusion proteins. These methods enable researchers to visualize protein behavior in real time, providing valuable insights into their functions and interactions within the cellular environment. Many current gene tagging studies employ a two-step process where visible markers, such as eye color changes, are used to identify genetically modified organisms in the first step, and the visible marker is excised in the second step. Here, we present a one-step protocol to perform precise and rapid endogenous gene tagging in Drosophila melanogaster, which enables screening for engineered lines without the visible eye marker, offering a significant advantage over past methods. To screen for successful gene-tagging events, we employ a PCR-based technique to genotype individual flies by analyzing a small segment from their middle leg. Flies that pass the screening criteria are then used to produce stable stocks. Here, we detail the design and construction of CRISPR editing plasmids and methods for screening and confirmation of engineered lines. Together, this protocol improves the efficiency of endogenous gene tagging in Drosophila significantly and enables studies of cellular processes in vivo.
    MeSH term(s) Animals ; Drosophila melanogaster/genetics ; CRISPR-Cas Systems ; Gene Editing/methods ; Drosophila/genetics ; Plasmids
    Language English
    Publishing date 2024-01-26
    Publishing country United States
    Document type Journal Article ; Video-Audio Media
    ZDB-ID 2259946-0
    ISSN 1940-087X ; 1940-087X
    ISSN (online) 1940-087X
    ISSN 1940-087X
    DOI 10.3791/64729
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online: An ADRC-Incorporated Stochastic Gradient Descent Algorithm for Latent Factor Analysis

    Li, Jinli / Yuan, Ye

    2024  

    Abstract: High-dimensional and incomplete (HDI) matrix contains many complex interactions between numerous nodes. A stochastic gradient descent (SGD)-based latent factor analysis (LFA) model is remarkably effective in extracting valuable information from an HDI ... ...

    Abstract High-dimensional and incomplete (HDI) matrix contains many complex interactions between numerous nodes. A stochastic gradient descent (SGD)-based latent factor analysis (LFA) model is remarkably effective in extracting valuable information from an HDI matrix. However, such a model commonly encounters the problem of slow convergence because a standard SGD algorithm only considers the current learning error to compute the stochastic gradient without considering the historical and future state of the learning error. To address this critical issue, this paper innovatively proposes an ADRC-incorporated SGD (ADS) algorithm by refining the instance learning error by considering the historical and future state by following the principle of an ADRC controller. With it, an ADS-based LFA model is further achieved for fast and accurate latent factor analysis on an HDI matrix. Empirical studies on two HDI datasets demonstrate that the proposed model outperforms the state-of-the-art LFA models in terms of computational efficiency and accuracy for predicting the missing data of an HDI matrix.
    Keywords Computer Science - Machine Learning ; Electrical Engineering and Systems Science - Systems and Control ; Statistics - Machine Learning
    Subject code 006
    Publishing date 2024-01-13
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book ; Online: Tensor Graph Convolutional Network for Dynamic Graph Representation Learning

    Wang, Ling / Yuan, Ye

    2024  

    Abstract: Dynamic graphs (DG) describe dynamic interactions between entities in many practical scenarios. Most existing DG representation learning models combine graph convolutional network and sequence neural network, which model spatial-temporal dependencies ... ...

    Abstract Dynamic graphs (DG) describe dynamic interactions between entities in many practical scenarios. Most existing DG representation learning models combine graph convolutional network and sequence neural network, which model spatial-temporal dependencies through two different types of neural networks. However, this hybrid design cannot well capture the spatial-temporal continuity of a DG. In this paper, we propose a tensor graph convolutional network to learn DG representations in one convolution framework based on the tensor product with the following two-fold ideas: a) representing the information of DG by tensor form; b) adopting tensor product to design a tensor graph convolutional network modeling spatial-temporal feature simultaneously. Experiments on real-world DG datasets demonstrate that our model obtains state-of-the-art performance.

    Comment: 6 pages, 3 figures
    Keywords Computer Science - Machine Learning ; Computer Science - Artificial Intelligence
    Subject code 006
    Publishing date 2024-01-13
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Nutrient interactions influence the efficacy of biostimulants

    Yuan, Ye / Dickinson, Nicholas

    Journal of Plant Nutrition. 2023 May 9, v. 46, no. 8 p.1616-1626

    2023  

    Abstract: Improved predictability of the effectiveness of biostimulant products is required before their wider acceptance by ornamental plant growers. We investigated the effects of three of the main groups of biostimulants (humic acids, protein hydrolysates, and ... ...

    Abstract Improved predictability of the effectiveness of biostimulant products is required before their wider acceptance by ornamental plant growers. We investigated the effects of three of the main groups of biostimulants (humic acids, protein hydrolysates, and seaweed extracts) under six fertilization levels, using Antirrhinum majus L. as a model ornamental plant to evaluate potential interactive effects on plant performance and growth substrate biological activity. Number of leaves increased in response to biostimulant application, but leaf area was generally reduced, especially in potting mix with lower fertility. Seaweed extract had beneficial effects on both shoot and root dry mass accumulation but was less beneficial than higher fertilizer rates. The beneficial effects of protein hydrolysates and humic acids were marginal and less predictable under our experimental conditions; humic acids showed particularly negative effects on root dry mass accumulation. All biostimulants showed negative impacts on substrate microbial activity, although Dehydrogenase Activity (DHA) was substantially higher under lower fertility. Extrapolation of the results of this study suggests that it is feasible to apply biostimulants, particularly seaweed extracts, to improve the overall growth performance of ornamental plants. However, it is essential to consider the nutrient status of growth medium if we are to leverage the biostimulant paradigm in the ornamental plant sector.
    Keywords Antirrhinum majus ; bioactive properties ; culture media ; fertilizers ; growth performance ; leaf area ; macroalgae ; microbial activity ; ornamental plants ; oxidoreductases ; plant extracts ; plant nutrition ; Antirrhinum ; humic acids ; nutrients ; potting mix ; protein hydrolysates ; seaweed extract
    Language English
    Dates of publication 2023-0509
    Size p. 1616-1626.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ZDB-ID 446190-3
    ISSN 1532-4087 ; 0190-4167
    ISSN (online) 1532-4087
    ISSN 0190-4167
    DOI 10.1080/01904167.2022.2093222
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 3418: Show issues

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  10. Article ; Online: Granular avalanche statistics in rotating drum with varied particle roughness

    Peng Aoran / Yuan Ye / Wang Yujie

    National Science Open, Vol

    2023  Volume 2

    Abstract: We experimentally investigate the avalanche statistics of dry granular materials in a slowly rotating drum for five types of beads with varied surface roughness. For all beads, two distinct angles, i.e., repose angle $\theta_r$ and maximal angle $\ ... ...

    Abstract We experimentally investigate the avalanche statistics of dry granular materials in a slowly rotating drum for five types of beads with varied surface roughness. For all beads, two distinct angles, i.e., repose angle $\theta_r$ and maximal angle $\theta_m$, can be clearly defined, and the avalanche size distributions $P( δ\theta)$ are Gaussian-like. $\theta_r$, $\theta_m$, and the span in $P( δ\theta)$ are all positively correlated with bead surface roughness. This observation thus contrasts with a power-law $P( δ\theta)$ predicted by self-organized criticality, but is reminiscent of a first-order phase transition. We speculate that both the inertia effect and the velocity-weakening mechanism during an avalanche process can enhance the first-order features, which are however absent in plasticity of sheared amorphous solids. We also discuss the dependence between $\theta_r$ and $\theta_m$ for various particles, as well as the correlation between starting and stopping angles for an individual avalanche.
    Keywords granular materials ; avalanche ; rotating drum ; Science ; Q ; Engineering (General). Civil engineering (General) ; TA1-2040
    Subject code 612
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Science Press
    Document type Article ; Online
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