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  1. Article ; Online: The background assimilation effect: Facial emotional perception is affected by surrounding stimuli.

    Wu, Yujie / Ying, Haojiang

    i-Perception

    2023  Volume 14, Issue 4, Page(s) 20416695231190254

    Abstract: The perception of facial emotion is not only determined by the physical features of the face itself but also be influenced by the emotional information of the background or surrounding information. However, the details of such effect are not fully ... ...

    Abstract The perception of facial emotion is not only determined by the physical features of the face itself but also be influenced by the emotional information of the background or surrounding information. However, the details of such effect are not fully understood. Here, the authors tested the perceived emotion of a target face surrounded by stimuli with different levels of emotional valence. In Experiment 1, four types of objects were divided into three groups (negative, unpleasant flowers and unpleasant animals; mildly negative (neutral), houses; positive, pleasant flowers). In Experiment 2, three groups of surrounding faces with different social-emotional valence (negative, neutral, and positive) were formed with the memory of affective personal knowledge. The data from two experiments showed that the perception of facial emotion can be influenced and modulated by the emotional valence of the surrounding stimuli, which can be explained by assimilation: the positive stimuli increased the valence of a target face, while the negative stimuli comparatively decreased it. Furthermore, the neutral stimuli also increased the valence of the target, which could be explained by the social positive effect. Therefore, the process of assimilation is likely to be a high-level emotional cognition rather than a low-level visual perception. The results of this study may help us better understand face perception in realistic scenarios.
    Language English
    Publishing date 2023-08-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2619696-7
    ISSN 2041-6695 ; 2041-6695
    ISSN (online) 2041-6695
    ISSN 2041-6695
    DOI 10.1177/20416695231190254
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: [Fungal luminescence pathways: research and applications].

    Wu, Yujie / Xu, Jiarui / Chen, Hongyu / DU, Hao

    Sheng wu gong cheng xue bao = Chinese journal of biotechnology

    2024  Volume 40, Issue 1, Page(s) 1–14

    Abstract: The fungal bioluminescence pathway (FBP) is a metabolic pathway responsible for the generation of bioluminescence derived from fungi. This pathway utilizes caffeic acid as the substrate, generating a high-energy intermediate, and the decomposition of ... ...

    Abstract The fungal bioluminescence pathway (FBP) is a metabolic pathway responsible for the generation of bioluminescence derived from fungi. This pathway utilizes caffeic acid as the substrate, generating a high-energy intermediate, and the decomposition of which yields green fluorescence with a wavelength of approximately 520 nm. The FBP is evolutionally conserved in luminescent fungal groups. Unlike other bioluminescent systems, the FBP is particularly suitable for engineering applications in eukaryotic organisms, especially in plants. Currently, metabolically engineered luminescent plants are able to emit visible light to illuminate its surroundings, which can be visualized clearly in the dark. The fungal bioluminescent system could be explored in various applications in molecular biology, biosensors and glowing ornamental plants, and even green lighting along city streets.
    MeSH term(s) Luminescence ; Light ; Fluorescence ; Eukaryota ; Green Light
    Language Chinese
    Publishing date 2024-01-23
    Publishing country China
    Document type English Abstract ; Journal Article
    ZDB-ID 1042206-7
    ISSN 1872-2075 ; 1042-749X
    ISSN (online) 1872-2075
    ISSN 1042-749X
    DOI 10.13345/j.cjb.230385
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The clinical value of intelligent wound measurement devices in patients with chronic wounds: A scoping review.

    Wu, Yujie / Wu, Liping / Yu, Mingfeng

    International wound journal

    2024  Volume 21, Issue 3, Page(s) e14843

    Abstract: Chronic wounds are common in clinical practice, with long treatment cycle and high treatment cost. Changes in wound area can well predict the effectiveness of treatment and the possibility of healing. Therefore, continuous wound monitoring and evaluation ...

    Abstract Chronic wounds are common in clinical practice, with long treatment cycle and high treatment cost. Changes in wound area can well predict the effectiveness of treatment and the possibility of healing. Therefore, continuous wound monitoring and evaluation are particularly important. Traditional manual wound measurement tends to overestimate wound area. Recently, various intelligent wound measurement devices have been introduced into clinical practice. This review aims to summarise the reliability, validity, types and measurement principles of different intelligent wound measurement devices, so as to analyse the clinical value and application prospect. Articles numbering 2610 were retrieved from the database, and 14 articles met the inclusion criteria. The results showed that the intelligent wound measurement devices included in the study reported good reliability and validity. Contact devices can lead to wound bed damage, wound deformation, patient pain, and is not convenient for electronic wound recording; partial contact devices can complete continuous monitoring and recording of wounds, but are not sensitive to wound depth measurement. Non-contact devices are more accurate in capturing wound images. In addition to wound measurement, they also have the function of wound assessment. In general, handheld and portable non-contact devices have great clinical value and promotion prospects.
    MeSH term(s) Humans ; Reproducibility of Results ; Wound Healing
    Language English
    Publishing date 2024-03-17
    Publishing country England
    Document type Review ; Journal Article
    ZDB-ID 2170920-8
    ISSN 1742-481X ; 1742-4801
    ISSN (online) 1742-481X
    ISSN 1742-4801
    DOI 10.1111/iwj.14843
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  4. Article ; Online: A commentary on "the application and therapeutic effect of botulinum toxin type a (BTX-A) in the treatment of patients with pain after cancer treatment: a systematic review and meta-analysis".

    Leng, Yu / Wu, Yujie / Yang, Yaoxin / Zhou, Cheng

    International journal of surgery (London, England)

    2024  

    Language English
    Publishing date 2024-03-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2212038-5
    ISSN 1743-9159 ; 1743-9191
    ISSN (online) 1743-9159
    ISSN 1743-9191
    DOI 10.1097/JS9.0000000000001415
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  5. Article: Enhanced Cathode Performance in Pr

    Chen, Hongfei / Lü, Zhe / Wu, Yujie

    Materials (Basel, Switzerland)

    2024  Volume 17, Issue 7

    Abstract: Perovskite-style materials are cathode systems known for their stability in solid oxide fuel cells (SOFCs). ... ...

    Abstract Perovskite-style materials are cathode systems known for their stability in solid oxide fuel cells (SOFCs). Pr
    Language English
    Publishing date 2024-04-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma17071635
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  6. Article ; Online: Advancing Spiking Neural Networks Toward Deep Residual Learning.

    Hu, Yifan / Deng, Lei / Wu, Yujie / Yao, Man / Li, Guoqi

    IEEE transactions on neural networks and learning systems

    2024  Volume PP

    Abstract: Despite the rapid progress of neuromorphic computing, inadequate capacity and insufficient representation power of spiking neural networks (SNNs) severely restrict their application scope in practice. Residual learning and shortcuts have been evidenced ... ...

    Abstract Despite the rapid progress of neuromorphic computing, inadequate capacity and insufficient representation power of spiking neural networks (SNNs) severely restrict their application scope in practice. Residual learning and shortcuts have been evidenced as an important approach for training deep neural networks, but rarely did previous work assessed their applicability to the specifics of SNNs. In this article, we first identify that this negligence leads to impeded information flow and the accompanying degradation problem in a spiking version of vanilla ResNet. To address this issue, we propose a novel SNN-oriented residual architecture termed MS-ResNet, which establishes membrane-based shortcut pathways, and further proves that the gradient norm equality can be achieved in MS-ResNet by introducing block dynamical isometry theory, which ensures the network can be well-behaved in a depth-insensitive way. Thus, we are able to significantly extend the depth of directly trained SNNs, e.g., up to 482 layers on CIFAR-10 and 104 layers on ImageNet, without observing any slight degradation problem. To validate the effectiveness of MS-ResNet, experiments on both frame-based and neuromorphic datasets are conducted. MS-ResNet104 achieves a superior result of 76.02% accuracy on ImageNet, which is the highest to the best of our knowledge in the domain of directly trained SNNs. Great energy efficiency is also observed, with an average of only one spike per neuron needed to classify an input sample. We believe our powerful and scalable models will provide strong support for further exploration of SNNs.
    Language English
    Publishing date 2024-02-08
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2024.3355393
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  7. Article ; Online: The gut microbiota facilitate their host tolerance to extreme temperatures.

    Wang, Ziguang / Wu, Yujie / Li, Xinxin / Ji, Xiaowen / Liu, Wei

    BMC microbiology

    2024  Volume 24, Issue 1, Page(s) 131

    Abstract: Background: Exposure to extreme cold or heat temperature is one leading cause of weather-associated mortality and morbidity in animals. Emerging studies demonstrate that the microbiota residing in guts act as an integral factor required to modulate host ...

    Abstract Background: Exposure to extreme cold or heat temperature is one leading cause of weather-associated mortality and morbidity in animals. Emerging studies demonstrate that the microbiota residing in guts act as an integral factor required to modulate host tolerance to cold or heat exposure, but common and unique patterns of animal-temperature associations between cold and heat have not been simultaneously examined. Therefore, we attempted to investigate the roles of gut microbiota in modulating tolerance to cold or heat exposure in mice.
    Results: The results showed that both cold and heat acutely change the body temperature of mice, but mice efficiently maintain their body temperature at conditions of chronic extreme temperatures. Mice adapt to extreme temperatures by adjusting body weight gain, food intake and energy harvest. Fascinatingly, 16 S rRNA sequencing shows that extreme temperatures result in a differential shift in the gut microbiota. Moreover, transplantation of the extreme-temperature microbiota is sufficient to enhance host tolerance to cold and heat, respectively. Metagenomic sequencing shows that the microbiota assists their hosts in resisting extreme temperatures through regulating the host insulin pathway.
    Conclusions: Our findings highlight that the microbiota is a key factor orchestrating the overall energy homeostasis under extreme temperatures, providing an insight into the interaction and coevolution of hosts and gut microbiota.
    MeSH term(s) Animals ; Mice ; Temperature ; Hot Temperature ; Gastrointestinal Microbiome/physiology ; Cold Temperature ; Adaptation, Physiological/physiology
    Language English
    Publishing date 2024-04-20
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041505-9
    ISSN 1471-2180 ; 1471-2180
    ISSN (online) 1471-2180
    ISSN 1471-2180
    DOI 10.1186/s12866-024-03277-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Sarcopenia and Risk of Hearing Loss: A 2-Sample Mendelian Randomization Study.

    Ran, Shu / Wu, Yujie / Liu, Baolin

    The American journal of medicine

    2023  Volume 136, Issue 5, Page(s) e102–e103

    MeSH term(s) Humans ; Sarcopenia ; Mendelian Randomization Analysis ; Risk Factors ; Hearing Loss/genetics
    Language English
    Publishing date 2023-05-03
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 80015-6
    ISSN 1555-7162 ; 1873-2178 ; 0002-9343 ; 1548-2766
    ISSN (online) 1555-7162 ; 1873-2178
    ISSN 0002-9343 ; 1548-2766
    DOI 10.1016/j.amjmed.2022.12.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: A pairwise strategy for imputing predictive features when combining multiple datasets.

    Wu, Yujie / Ren, Boyu / Patil, Prasad

    Bioinformatics (Oxford, England)

    2023  Volume 39, Issue 1

    Abstract: Motivation: In the training of predictive models using high-dimensional genomic data, multiple studies' worth of data are often combined to increase sample size and improve generalizability. A drawback of this approach is that there may be different ... ...

    Abstract Motivation: In the training of predictive models using high-dimensional genomic data, multiple studies' worth of data are often combined to increase sample size and improve generalizability. A drawback of this approach is that there may be different sets of features measured in each study due to variations in expression measurement platform or technology. It is often common practice to work only with the intersection of features measured in common across all studies, which results in the blind discarding of potentially useful feature information that is measured in individual or subsets of studies.
    Results: We characterize the loss in predictive performance incurred by using only the intersection of feature information available across all studies when training predictors using gene expression data from microarray and sequencing datasets. We study the properties of linear and polynomial regression for imputing discarded features and demonstrate improvements in the external performance of prediction functions through simulation and in gene expression data collected on breast cancer patients. To improve this process, we propose a pairwise strategy that applies any imputation algorithm to two studies at a time and averages imputed features across pairs. We demonstrate that the pairwise strategy is preferable to first merging all datasets together and imputing any resulting missing features. Finally, we provide insights on which subsets of intersected and study-specific features should be used so that missing-feature imputation best promotes cross-study replicability.
    Availability and implementation: The code is available at https://github.com/YujieWuu/Pairwise_imputation.
    Supplementary information: Supplementary information is available at Bioinformatics online.
    MeSH term(s) Humans ; Algorithms ; Genomics ; Sample Size ; Genome ; Computer Simulation
    Language English
    Publishing date 2023-01-07
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btac839
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  10. Article ; Online: Associations of appendicular lean mass and walking pace with hypertension: a two-sample Mendelian randomization study.

    Ran, Shu / Wu, Yujie / Liu, Baolin

    Journal of hypertension

    2023  Volume 41, Issue 8, Page(s) 1347–1348

    MeSH term(s) Humans ; Walking Speed ; Mendelian Randomization Analysis ; Body Mass Index ; Hypertension/genetics ; Genome-Wide Association Study ; Polymorphism, Single Nucleotide
    Language English
    Publishing date 2023-07-05
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 605532-1
    ISSN 1473-5598 ; 0263-6352 ; 0952-1178
    ISSN (online) 1473-5598
    ISSN 0263-6352 ; 0952-1178
    DOI 10.1097/HJH.0000000000003454
    Database MEDical Literature Analysis and Retrieval System OnLINE

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