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  1. Article ; Online: NMF linear blind unmixing method based on mixed pixel's spatial and spectral correlation model

    YUAN Bo

    Acta Geodaetica et Cartographica Sinica, Vol 48, Iss 9, Pp 1151-

    2019  Volume 1160

    Abstract: The present hyperspectral unmixing methods based on correlation analysis, either lack of comprehensive analysis and utilization of hyperspectral image's spatial & spectral correlation characteristics, or have a high dependence degree on prior knowledge. ... ...

    Abstract The present hyperspectral unmixing methods based on correlation analysis, either lack of comprehensive analysis and utilization of hyperspectral image's spatial & spectral correlation characteristics, or have a high dependence degree on prior knowledge. This paper proposes a NMF linear blind unmixing method based on mixed pixel's spatial and spectral correlation model. The method sets up spatial correlation model of adjacent pixels by improving Markov Random Filed(MRF) model, sets up spectral correlation model of adjacent bands by adopting complexity mapping technology, and introduces the two models respectively into NMF objective function externally and internally, as the constraints of the blind unmixing method. Experimental result indicates that, the proposed method can significantly reduced the degree of dependence on prior knowledge, comparing with other representative NMF reference methods including area-correlated spectral unmixing method based on Bayesian nonnegative matrix factorization(ACBNMF), minimum spectral correlation constraint NMF(MSCCNMF) and minimum volume constrained nonnegative matrix factorization(MVCNMF), the unmixing accuracy is also improved.
    Keywords nonnegative matrix factorization ; spatial correlation ; spectral correlation ; markov random field ; complexity mapping ; Mathematical geography. Cartography ; GA1-1776
    Subject code 518
    Language Chinese
    Publishing date 2019-09-01T00:00:00Z
    Publisher Surveying and Mapping Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: RSim: A reference-based normalization method via rank similarity.

    Yuan, Bo / Wang, Shulei

    PLoS computational biology

    2023  Volume 19, Issue 9, Page(s) e1011447

    Abstract: Microbiome sequencing data normalization is crucial for eliminating technical bias and ensuring accurate downstream analysis. However, this process can be challenging due to the high frequency of zero counts in microbiome data. We propose a novel ... ...

    Abstract Microbiome sequencing data normalization is crucial for eliminating technical bias and ensuring accurate downstream analysis. However, this process can be challenging due to the high frequency of zero counts in microbiome data. We propose a novel reference-based normalization method called normalization via rank similarity (RSim) that corrects sample-specific biases, even in the presence of many zero counts. Unlike other normalization methods, RSim does not require additional assumptions or treatments for the high prevalence of zero counts. This makes it robust and minimizes potential bias resulting from procedures that address zero counts, such as pseudo-counts. Our numerical experiments demonstrate that RSim reduces false discoveries, improves detection power, and reveals true biological signals in downstream tasks such as PCoA plotting, association analysis, and differential abundance analysis.
    MeSH term(s) Microbiota ; Computational Biology/methods
    Language English
    Publishing date 2023-09-01
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2193340-6
    ISSN 1553-7358 ; 1553-734X
    ISSN (online) 1553-7358
    ISSN 1553-734X
    DOI 10.1371/journal.pcbi.1011447
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  3. Article ; Online: Type II Genial Tubercle Fracture.

    Wang, Ji / Wang, Liping / Yuan, Bo / Du, Yu

    Anesthesiology

    2024  

    Language English
    Publishing date 2024-04-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 269-0
    ISSN 1528-1175 ; 0003-3022
    ISSN (online) 1528-1175
    ISSN 0003-3022
    DOI 10.1097/ALN.0000000000004960
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Uk I Zs.133: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 199: Show issues

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  4. Article: The effects of awe on interpersonal forgiveness: the mediating role of small-self.

    Liao, Suxia / Liu, Yichang / Yuan, Bo

    Frontiers in psychology

    2024  Volume 15, Page(s) 1336068

    Abstract: Awe could increase prosocial behavior, but little is known about its effects on interpersonal forgiveness. This study aims to explore the potential impact of awe on interpersonal forgiveness and the underlying mechanism of this process, using a ... ...

    Abstract Awe could increase prosocial behavior, but little is known about its effects on interpersonal forgiveness. This study aims to explore the potential impact of awe on interpersonal forgiveness and the underlying mechanism of this process, using a combination of questionnaires, economic game and computational modeling. In Study 1, we utilized Trait Awe Scale (TAS) and Forgiveness Trait Scale (FTS) to examine the association between trait awe and trait forgiveness. In Study 2, we employed pre-screened video to induce awe, happy and neutral emotions, then evaluated the effects of induced awe on small-self and interpersonal forgiveness in hypothetical interpersonal offensive situations (Study 2a) and two economic interaction situations (Study 2b). Results from Study 1 indicate that there is a positive correlation between trait awe and trait forgiveness. Study 2 reveal that awe can enhance interpersonal forgiveness in both interpersonal conflict situations and economic interaction situations, and this effect is mediated by the sense of small-self elicited by awe. Overall, these findings contribute to our understanding of the potential impact of awe on interpersonal forgiveness and provide valuable insights into the mechanisms through which awe may influence forgiveness. Further research in this area could help to elucidate the potential applications of awe-based interventions in promoting forgiveness and positive social interactions.
    Language English
    Publishing date 2024-02-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2024.1336068
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  5. Article ; Online: A semantic‐based method for analysing unknown malicious behaviours via hyper‐spherical variational auto‐encoders

    Yi‐feng Wang / Yuan‐bo Guo / Chen Fang

    IET Information Security, Vol 17, Iss 2, Pp 244-

    2023  Volume 254

    Abstract: Abstract In the User and Entity Behaviour Analytics (UEBA), unknown malicious behaviours are often difficult to be automatically detected due to the lack of labelled data. Most of the existing methods also fail to take full advantage of the threat ... ...

    Abstract Abstract In the User and Entity Behaviour Analytics (UEBA), unknown malicious behaviours are often difficult to be automatically detected due to the lack of labelled data. Most of the existing methods also fail to take full advantage of the threat intelligence and incorporate the impact of the behaviour patterns of the benign users. To address this issue, this paper proposes a Generalised Zero‐Shot Learning (GZSL) method based on hyper‐spherical Variational Auto‐Encoders (VAEs). Compared to the VAEs, the authors’ proposed method is more robust and suitable for capturing data with richer and more nuanced structures. The authors’ method analyses the unknown malicious behaviours by projecting them and their semantic attributes to shared space. These are then matched by the cosine similarity. The authors further use a Graph Convolutional Network (GCN) to reduce the impact of different user behaviour patterns before projection. The experimental results indicate that the proposed method is efficient in the analysis of unknown malicious behaviours.
    Keywords generalised zero‐shot learning ; hyper‐spherical variational auto‐encoders ; unknown malicious behaviours ; user and entity behaviour analytics ; Computer engineering. Computer hardware ; TK7885-7895 ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 690
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher Hindawi-IET
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Diagnostic Value of Combined Detection of Pelvic Ultrasound and Serum LH, FSH, and E2 Levels in Children with Idiopathic Central Precocious Puberty.

    He, Zhen / Yuan, Bo

    publication RETRACTED

    Evidence-based complementary and alternative medicine : eCAM

    2022  Volume 2022, Page(s) 7928344

    Abstract: Objective: To study the diagnostic value of combined detection of pelvic ultrasound and serum LH, FSH, and E2 levels in children with idiopathic central precocious puberty (ICPP).: Methods: 30 cases of children with ICPP admitted to our hospital from ...

    Abstract Objective: To study the diagnostic value of combined detection of pelvic ultrasound and serum LH, FSH, and E2 levels in children with idiopathic central precocious puberty (ICPP).
    Methods: 30 cases of children with ICPP admitted to our hospital from January 2019 to January 2021 were selected as the experimental group, and 30 healthy people during the same period were selected as the control group. Both groups received pelvic ultrasound and serum LH, FSH, and E2 detection; the two groups were compared in terms of serum indicators, combined diagnosis, specificity, and sensitivity.
    Results: There were statistical differences in height, leptin, bone age, and areola diameter between the two groups (
    Conclusion: The combined detection of pelvic ultrasound and serum LH, FSH, and E2 levels may be a preferred technique for the diagnosis of children with ICPP due to its benefits of high sensitivity and accuracy. It is worthy of clinical promotion and application.
    Language English
    Publishing date 2022-08-08
    Publishing country United States
    Document type Journal Article ; Retracted Publication
    ZDB-ID 2171158-6
    ISSN 1741-4288 ; 1741-427X
    ISSN (online) 1741-4288
    ISSN 1741-427X
    DOI 10.1155/2022/7928344
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5995: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article: An Organism-Level Quantitative Flux Model of Mammalian Energy Metabolism.

    Yuan, Bo / Inouye, Karen E / Hotamışlıgil, Gökhan S / Hui, Sheng

    bioRxiv : the preprint server for biology

    2024  

    Abstract: Mammalian tissues feed on nutrients in the blood circulation. At the organism-level, mammalian energy metabolism comprises of oxidation, interconverting, storing and releasing of circulating nutrients. Though much is known about the individual processes ... ...

    Abstract Mammalian tissues feed on nutrients in the blood circulation. At the organism-level, mammalian energy metabolism comprises of oxidation, interconverting, storing and releasing of circulating nutrients. Though much is known about the individual processes and nutrients, a holistic and quantitative model describing these processes for all major circulating nutrients is lacking. Here, by integrating isotope tracer infusion, mass spectrometry, and isotope gas analyzer measurement, we developed a framework to systematically quantify fluxes through these processes for 10 major circulating energy nutrients in mice, resulting in an organism-level quantitative flux model of energy metabolism. This model revealed in wildtype mice that circulating nutrients' metabolic cycling fluxes are more dominant than their oxidation fluxes, with distinct partition between cycling and oxidation flux for individual circulating nutrients. Applications of this framework in obese mouse models showed on a per animal basis extensive elevation of metabolic cycling fluxes in ob/ob mice, but not in diet-induced obese mice. Thus, our framework describes quantitatively the functioning of energy metabolism at the organism-level, valuable for revealing new features of energy metabolism in physiological and disease conditions.
    Language English
    Publishing date 2024-02-12
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.02.11.579776
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  8. Article ; Online: Robust Stochastic Neural Ensemble Learning with Noisy Labels for Thoracic Disease Classification.

    Wang, Hongyu / He, Jiang / Cui, Hengfei / Yuan, Bo / Xia, Yong

    IEEE transactions on medical imaging

    2024  Volume PP

    Abstract: Chest radiography is the most common radiology examination for thoracic disease diagnosis, such as pneumonia. A tremendous number of chest X-rays prompt data-driven deep learning models in constructing computer-aided diagnosis systems for thoracic ... ...

    Abstract Chest radiography is the most common radiology examination for thoracic disease diagnosis, such as pneumonia. A tremendous number of chest X-rays prompt data-driven deep learning models in constructing computer-aided diagnosis systems for thoracic diseases. However, in realistic radiology practice, a deep learning-based model often suffers from performance degradation when trained on data with noisy labels possibly caused by different types of annotation biases. To this end, we present a novel stochastic neural ensemble learning (SNEL) framework for robust thoracic disease diagnosis using chest X-rays. The core idea of our method is to learn from noisy labels by constructing model ensembles and designing noise-robust loss functions. Specifically, we propose a fast neural ensemble method that collects parameters simultaneously across model instances and along optimization trajectories. Moreover, we propose a loss function that both optimizes a robust measure and characterizes a diversity measure of ensembles. We evaluated our proposed SNEL method on three publicly available hospital-scale chest X-ray datasets. The experimental results indicate that our method outperforms competing methods and demonstrate the effectiveness and robustness of our method in learning from noisy labels. Our code is available at https://github.com/hywang01/SNEL.
    Language English
    Publishing date 2024-01-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 622531-7
    ISSN 1558-254X ; 0278-0062
    ISSN (online) 1558-254X
    ISSN 0278-0062
    DOI 10.1109/TMI.2024.3357986
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 2546: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  9. Article ; Online: Modern techniques in addressing facial acne scars: A thorough analysis.

    Miao, Linlin / Ma, Yizhao / Liu, Zhifang / Ruan, Hongyu / Yuan, Bo

    Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)

    2024  Volume 30, Issue 2, Page(s) e13573

    Abstract: Background: Facial acne scars are a prevalent concern, leading to the development of various treatment modalities.: Objectives: This review aims to explore the latest advancements in the treatment of facial acne scars, focusing on both surgical and ... ...

    Abstract Background: Facial acne scars are a prevalent concern, leading to the development of various treatment modalities.
    Objectives: This review aims to explore the latest advancements in the treatment of facial acne scars, focusing on both surgical and non-surgical methods.
    Methods: The non-surgical treatments reviewed include topical medications (such as retinoids and alpha hydroxy acids) and non-invasive procedures (like microdermabrasion and chemical peels). Surgical options discussed are punch excision, subcision, and fractional laser treatments.
    Results: Combination therapy, integrating both surgical and non-surgical approaches, is frequently utilized to achieve optimal results in scar improvement.
    Conclusion: Recent advancements in the treatment of facial acne scars provide promising options for individuals seeking improvement. However, these treatments have associated risks and potential adverse effects, highlighting the importance of consulting a dermatologist before beginning any treatment regimen.
    MeSH term(s) Humans ; Cicatrix/etiology ; Cicatrix/therapy ; Cicatrix/pathology ; Acne Vulgaris/therapy ; Acne Vulgaris/surgery ; Chemexfoliation ; Dermabrasion ; Retinoids/therapeutic use ; Treatment Outcome
    Chemical Substances Retinoids
    Language English
    Publishing date 2024-02-01
    Publishing country England
    Document type Review ; Journal Article
    ZDB-ID 1229160-2
    ISSN 1600-0846 ; 0909-752X ; 1397-1344
    ISSN (online) 1600-0846
    ISSN 0909-752X ; 1397-1344
    DOI 10.1111/srt.13573
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    Zs.A 4278: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    ab Jg. 2022: Lesesaal (EG)

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  10. Article: Inflammation Responses to Bone Scaffolds under Mechanical Stimuli in Bone Regeneration.

    Wang, Junjie / Yuan, Bo / Yin, Ruixue / Zhang, Hongbo

    Journal of functional biomaterials

    2023  Volume 14, Issue 3

    Abstract: Physical stimuli play an important role in one tissue engineering. Mechanical stimuli, such as ultrasound with cyclic loading, are widely used to promote bone osteogenesis; however, the inflammatory response under physical stimuli has not been well ... ...

    Abstract Physical stimuli play an important role in one tissue engineering. Mechanical stimuli, such as ultrasound with cyclic loading, are widely used to promote bone osteogenesis; however, the inflammatory response under physical stimuli has not been well studied. In this paper, the signaling pathways related to inflammatory responses in bone tissue engineering are evaluated, and the application of physical stimulation to promote osteogenesis and its related mechanisms are reviewed in detail; in particular, how physical stimulation alleviates inflammatory responses during transplantation when employing a bone scaffolding strategy is discussed. It is concluded that physical stimulation (e.g., ultrasound and cyclic stress) helps to promote osteogenesis while reducing the inflammatory response. In addition, apart from 2D cell culture, more consideration should be given to the mechanical stimuli applied to 3D scaffolds and the effects of different force moduli while evaluating inflammatory responses. This will facilitate the application of physiotherapy in bone tissue engineering.
    Language English
    Publishing date 2023-03-21
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2648525-4
    ISSN 2079-4983
    ISSN 2079-4983
    DOI 10.3390/jfb14030169
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