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  1. AU="Xiao Han"
  2. AU="Stuart G. Tangye"
  3. AU="Yao-Zhong Zhao"
  4. AU="Chern, Chang-Ming"
  5. AU="Floeter, Jens"
  6. AU="Wijnen, Petal"
  7. AU="Saravanamuthu, Pira"
  8. AU="Kalpana Deepa Priya Dorayappan"
  9. AU="Xiao, Hongkui"
  10. AU="Lali, Arvind M"
  11. AU="Kim, Hyojeong"
  12. AU="Nasseri, Saeed"
  13. AU="Kluge"
  14. AU="Bierbaumer, Lisa"
  15. AU="Rashid, Muhammad"
  16. AU="Huang, Chiun-Sheng"
  17. AU="Shevchuk, O O"
  18. AU="Mulvihill, Emily"
  19. AU="Gandhi, Adarsh"
  20. AU="Zhao, Chuanrui"
  21. AU="Shelley Wiart"
  22. AU="Lydia E. Wroblewski" AU="Lydia E. Wroblewski"
  23. AU="Paterson, Ross"
  24. AU="Alexander Marx"
  25. AU="Robinson, Jill"
  26. AU="Mitchell, Adam W M"
  27. AU="Ingham, Jesse R"

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  1. Buch ; Online: Organ Modification for Edible Parts of Horticultural Crops

    He, Yuke / Bonnema, Guusje / Xiao, Han / Zhao, Yunde

    2019  

    Schlagwörter Science: general issues ; Botany & plant sciences ; morphological modification ; CORM ; Bulb ; Curd ; Fleshy fruit ; Fleshy root ; leafy head
    Umfang 1 electronic resource (99 pages)
    Verlag Frontiers Media SA
    Dokumenttyp Buch ; Online
    Anmerkung English ; Open Access
    HBZ-ID HT021230563
    ISBN 9782889631032 ; 2889631036
    Datenquelle ZB MED Katalog Medizin, Gesundheit, Ernährung, Umwelt, Agrar

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  2. Artikel ; Online: Impacts of precipitation uncertainty on hydrological ensemble simulations over the Ganjiang River basin

    Xiao Han / Huiling Yuan

    Journal of Hydrology: Regional Studies, Vol 51, Iss , Pp 101617- (2024)

    1481  

    Abstract: Study region: The Ganjiang River basin (113°−117°E, 24°−30°N; 83,374 km2) is a large watershed with complex topography in the Poyang Lake basin in Jiangxi province, China. Study focus: This study evaluates three quantitative precipitation estimates (QPEs) ...

    Abstract Study region: The Ganjiang River basin (113°−117°E, 24°−30°N; 83,374 km2) is a large watershed with complex topography in the Poyang Lake basin in Jiangxi province, China. Study focus: This study evaluates three quantitative precipitation estimates (QPEs) over the Ganjiang River basin, namely the China Gauged-Based Daily Precipitation Analysis (CGDPA) data, the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) data, and the Asian Precipitation - Highly-Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE). The study also investigates the impacts of precipitation uncertainty on hydrological ensemble streamflow simulations using the three QPEs as precipitation inputs of the Variable Infiltration Capacity (VIC) hydrological model. New hydrological insights for the region: APHRODITE underestimates precipitation compared to CGDPA, while PERSIANN-CDR shows greater spatiotemporal variability. The ensemble mean streamflow demonstrates greater improvement compared to the results obtained from a single parameter set. Among the three QPEs, the simulations forced by CGDPA show the best deterministic and probabilistic verification scores, followed by APHRODITE. PERSIANN-CDR tends to underestimate evaporation and leads to the lowest score of ensemble streamflow simulations, but shows advantages in simulating extremely low streamflow. The study highlights that high-density gauge-based QPEs remain the most accurate source of precipitation inputs for reliable hydrological simulations, while satellite-gauge merged QPEs can provide valuable inputs for hydrological simulations over the basins where meteorological stations are scarce.
    Schlagwörter Quantitative precipitation estimate (QPE) ; Hydrological ensemble simulation ; China gauged-based daily precipitation analysis (CGDPA) ; PERSIANN-CDR ; APHRODITE ; Ganjiang River basin ; Physical geography ; GB3-5030 ; Geology ; QE1-996.5
    Thema/Rubrik (Code) 550
    Sprache Englisch
    Erscheinungsdatum 2024-02-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Multi-level multilingual semantic alignment for zero-shot cross-lingual transfer learning.

    Gui, Anchun / Xiao, Han

    Neural networks : the official journal of the International Neural Network Society

    2024  Band 173, Seite(n) 106217

    Abstract: Recently, cross-lingual transfer learning has attracted extensive attention from both academia and industry. Previous studies usually focus only on the single-level alignment (e.g., word-level, sentence-level), based on pre-trained language models. ... ...

    Abstract Recently, cross-lingual transfer learning has attracted extensive attention from both academia and industry. Previous studies usually focus only on the single-level alignment (e.g., word-level, sentence-level), based on pre-trained language models. However, it leads to suboptimal performance in downstream tasks of the low-resource language due to the missing correlation of hierarchical semantic information (e.g., sentence-to-word, word-to-word). Therefore, in this paper, we propose a novel multi-level alignment framework, which hierarchically learns the semantic correlation between multiple levels by leveraging well-designed alignment training tasks. In addition, we devise an attention-based fusion mechanism (AFM) to infuse semantic information from high levels. Extensive experiments on mainstream cross-lingual tasks (e.g., text classification, paraphrase identification, and named entity recognition) demonstrate the effectiveness of our proposed method, and also show that our model achieves state-of-the-art performance across various benchmarks compared to other strong baselines.
    Mesh-Begriff(e) Semantics ; Learning ; Multilingualism ; Language ; Machine Learning
    Sprache Englisch
    Erscheinungsdatum 2024-02-27
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 740542-x
    ISSN 1879-2782 ; 0893-6080
    ISSN (online) 1879-2782
    ISSN 0893-6080
    DOI 10.1016/j.neunet.2024.106217
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Hungarian layer: A novel interpretable neural layer for paraphrase identification.

    Xiao, Han

    Neural networks : the official journal of the International Neural Network Society

    2020  Band 131, Seite(n) 172–184

    Abstract: Paraphrase identification serves as an important topic in natural language processing while sequence alignment and matching underlie the principle of this task. Traditional alignment methods take advantage of attention mechanism. Attention mechanism, i.e. ...

    Abstract Paraphrase identification serves as an important topic in natural language processing while sequence alignment and matching underlie the principle of this task. Traditional alignment methods take advantage of attention mechanism. Attention mechanism, i.e. weighting technique, could pick out the most similar/dissimilar parts, but is weak in modeling the aligned unmatched parts, which are the crucial evidence to identify paraphrases. In this paper, we empower neural architecture with Hungarian algorithm to extract the aligned unmatched parts. Specifically, first, our model applies BiLSTM/BERT to encode the input sentences into hidden representations. Then, Hungarian layer leverages the hidden representations to extract the aligned unmatched parts. Last, we apply cosine similarity to metric the aligned unmatched parts for a final discrimination. Extensive experiments show that our model outperforms other baselines, substantially and significantly.
    Mesh-Begriff(e) Language ; Natural Language Processing ; Neural Networks, Computer
    Sprache Englisch
    Erscheinungsdatum 2020-08-05
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 740542-x
    ISSN 1879-2782 ; 0893-6080
    ISSN (online) 1879-2782
    ISSN 0893-6080
    DOI 10.1016/j.neunet.2020.07.024
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel: Taenionemasinensis

    Chen, Zhi-Teng / Ye, Xiao-Han

    Biodiversity data journal

    2023  Band 11, Seite(n) e104618

    Abstract: Background: The taeniopterygid genus : New information: This paper reports the first endemic species ... ...

    Abstract Background: The taeniopterygid genus
    New information: This paper reports the first endemic species of
    Sprache Englisch
    Erscheinungsdatum 2023-06-08
    Erscheinungsland Bulgaria
    Dokumenttyp Journal Article
    ZDB-ID 2736709-5
    ISSN 1314-2828
    ISSN 1314-2828
    DOI 10.3897/BDJ.11.e104618
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: Bivalent Hemagglutinin Cleavage-Site Peptide Vaccines Protect Chickens from Lethal Infections with Highly Pathogenic H5N1 and H5N6 Avian Influenza Viruses.

    Chowdhury, Dibakar / Lin, Xiao Han / Seo, Sang Heui

    Frontiers in bioscience (Landmark edition)

    2024  Band 29, Heft 2, Seite(n) 61

    Abstract: Background: Outbreaks of highly pathogenic avian influenza viruses cause huge economic losses to the poultry industry worldwide. Vaccines that can protect chickens from infections caused by various variants of highly pathogenic H5Nx avian influenza ... ...

    Abstract Background: Outbreaks of highly pathogenic avian influenza viruses cause huge economic losses to the poultry industry worldwide. Vaccines that can protect chickens from infections caused by various variants of highly pathogenic H5Nx avian influenza viruses are needed owing to the continuous emergence of new variants. We previously showed that vaccines containing the H5 cleavage-site peptide from clade 2.3.4.4. H5N6 avian influenza virus protects chickens from infection with homologous clade 2.3.4.4. H5N6 avian influenza virus, but not from infection with the heterologous clade 1 H5N1 avian influenza virus. Therefore, we developed bivalent peptide vaccines containing H5 cleavage sites of viruses from both clades to protect chickens from both H5N1 and H5N6 avian influenza viruses.
    Methods: Chickens were vaccinated with two doses of a combined peptide vaccine containing cleavage-site peptides from clade 1 and clade 2.3.4.4. highly pathogenic H5N1 and H5N6 avian influenza viruses and then challenged with both viruses. The infected chickens were monitored for survival and their tracheae and cloacae were sampled to check for viral shedding based on the median tissue culture infectious dose of 50 (log10TCID50/mL) in Madin-Darby canine kidney cells.
    Results: Antibody production was induced at similar levels in the sera of chickens immunized with two doses of the combined peptide vaccines containing cleavage-site peptides from highly pathogenic H5N1 and H5N6 avian influenza viruses. The immunized chickens were protected from infection with both H5N1 and H5N6 avian influenza viruses without viral shedding in the tracheae and cloacae.
    Conclusions: Dual-peptide vaccines containing cleavage-site peptides of both clades can protect chickens from highly pathogenic avian influenza virus infections.
    Mesh-Begriff(e) Animals ; Dogs ; Influenza A Virus, H5N1 Subtype ; Hemagglutinins ; Chickens ; Protein Subunit Vaccines ; Influenza Vaccines ; Influenza A Virus, H5N6 Subtype ; Vaccines, Combined ; Influenza A virus ; Peptides
    Chemische Substanzen Hemagglutinins ; Protein Subunit Vaccines ; Influenza Vaccines ; Vaccines, Combined ; Peptides
    Sprache Englisch
    Erscheinungsdatum 2024-02-29
    Erscheinungsland Singapore
    Dokumenttyp Journal Article
    ZDB-ID 2704569-9
    ISSN 2768-6698 ; 2768-6698
    ISSN (online) 2768-6698
    ISSN 2768-6698
    DOI 10.31083/j.fbl2902061
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Artikel ; Online: Laquinimod attenuates oxidative stress-induced mitochondrial injury and alleviates intervertebral disc degeneration by inhibiting the NF-κB signaling pathway.

    Xiao, Han / Wang, Kang / Peng, Lin / Yin, Zongsheng

    International immunopharmacology

    2024  Band 131, Seite(n) 111804

    Abstract: Background: Low back pain (LBP) caused by intervertebral disc degeneration (IVDD) is a significant global health concern. It is necessary to investigate the underlying pathological mechanisms leading to IVDD and develop precise treatment strategies for ... ...

    Abstract Background: Low back pain (LBP) caused by intervertebral disc degeneration (IVDD) is a significant global health concern. It is necessary to investigate the underlying pathological mechanisms leading to IVDD and develop precise treatment strategies for this condition. Considering the well-established anti-inflammatory properties and ability to reduce oxidative stress in various diseases, for the first time we aim to explore the potential of Laquinimod in alleviating IVDD.
    Methods: We used hydrogen peroxide (H
    Results: Our findings showed that Laquinimod significantly reduced the oxidative stress-induced inflammatory response in NP cells, downregulated the expression of catabolic enzymes, and markedly enhanced ECM degradation by inhibiting the NF-κB signaling pathway. The administration of Laquinimod concurrently improved the mitochondrial functional state and reduced apoptosis in NP cells. Additionally, in vivo experiments in rats showed that Laquinimod significantly alleviated acupuncture-induced IVDD.
    Conclusions: Collectively, the findings of this study provide new insights into the therapeutic potential of Laquinimod as a treatment for oxidative stress-induced IVDD.
    Mesh-Begriff(e) Rats ; Animals ; Intervertebral Disc Degeneration/drug therapy ; Intervertebral Disc Degeneration/metabolism ; NF-kappa B/metabolism ; Rats, Sprague-Dawley ; Hydrogen Peroxide/metabolism ; Oxidative Stress ; Mitochondria/metabolism ; Signal Transduction ; Intervertebral Disc/pathology ; Quinolones
    Chemische Substanzen NF-kappa B ; laquinimod (908SY76S4G) ; Hydrogen Peroxide (BBX060AN9V) ; Quinolones
    Sprache Englisch
    Erscheinungsdatum 2024-03-07
    Erscheinungsland Netherlands
    Dokumenttyp Journal Article
    ZDB-ID 2043785-7
    ISSN 1878-1705 ; 1567-5769
    ISSN (online) 1878-1705
    ISSN 1567-5769
    DOI 10.1016/j.intimp.2024.111804
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel ; Online: How to Improve People's Intentions Regarding COVID-19 Vaccination in China: A Randomized Controlled Trial.

    Ju, Qianqian / Xiao, Han / Peng, Huini / Gan, Yiqun

    International journal of behavioral medicine

    2024  

    Abstract: Background: The global COVID-19 pandemic has impaired the health and living conditions of millions of people. For governments to formulate policies promoting vaccination behavior, it is important to understand individuals' intentions to vaccinate. This ... ...

    Abstract Background: The global COVID-19 pandemic has impaired the health and living conditions of millions of people. For governments to formulate policies promoting vaccination behavior, it is important to understand individuals' intentions to vaccinate. This study explores the effectiveness of a brief online intervention based on the Health Action Process Approach (HAPA) in improving individuals' COVID-19 vaccination intention, as well as considering the reasons for their unwillingness to get vaccinated.
    Method: A total of 1,258 participants were assessed using a questionnaire to determine their phase of vaccination intention (pre-intention, intention, and action). Subsequently, focused on the underlying factors in the pre-intention phase (i.e., task self-efficacy, outcome expectation, and risk perception), a 7-day randomized controlled HAPA intervention (n
    Results: The intervention may effectively improve participants' COVID-19 vaccination intentions; however, it had no impact on their planning and actions involved in taking the vaccine.
    Conclusions: This study provides relevant reference data for government stakeholders to use in developing public awareness campaigns and policies to encourage COVID-19 vaccination.
    Sprache Englisch
    Erscheinungsdatum 2024-02-20
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 1187972-5
    ISSN 1532-7558 ; 1070-5503
    ISSN (online) 1532-7558
    ISSN 1070-5503
    DOI 10.1007/s12529-024-10258-6
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  9. Artikel ; Online: Identification of liquor adulteration by Raman spectroscopy method based on ICNAFS.

    Yi, Cancan / Zhang, Zhenyu / Huang, Tao / Xiao, Han

    Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

    2024  Band 312, Seite(n) 124068

    Abstract: The health of consumers can be impacted by the additives placed into the liquor. To address the issues of poor accuracy, low reliability, and complex operational procedures in identifying adulteration in existing liquor, an improved convex non-negative ... ...

    Abstract The health of consumers can be impacted by the additives placed into the liquor. To address the issues of poor accuracy, low reliability, and complex operational procedures in identifying adulteration in existing liquor, an improved convex non-negative matrix factorization (ICNAFS) with an adaptive graph constraint for unsupervised feature extraction is proposed in this paper, with the goal of achieving rapid identification of adulteration in liquor by Raman spectroscopy through dimensionality reduction. For the sake to streamline the calculation process for effective feature extraction and increase the accuracy of the analyzed model, the proposed ICNAFS method incorporates two fundamental models, such as ridge regression and convex non-negative matrix factorization (NMF). In particular, dimensionality reduction of the original spectrum is initially conducted using Principal Component Analysis (PCA), Sequential Projection Algorithm (SPA), Convex Non-Negative Matrix Factorization with an Adaptive Graph Constraint (CNAFS), and ICNAFS respectively. k-means is subsequently employed to merge the four models for clustering analysis. The results suggest that the accuracy of the presented ICNAFS-assisted k-means model is higher than the other techniques, with a clustering accuracy of 98.67%, exhibiting a 4% improvement over the existing CNAFS, through examination of 150 sets of tainted liquor data from five categories of samples. This demonstrates the potency of the proposed ICNAFS-assisted k-means clustering model in conjunction with Raman spectroscopy as a method for detecting tainted liquor.
    Sprache Englisch
    Erscheinungsdatum 2024-02-22
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 210413-1
    ISSN 1873-3557 ; 0370-8322 ; 0584-8539 ; 1386-1425
    ISSN (online) 1873-3557
    ISSN 0370-8322 ; 0584-8539 ; 1386-1425
    DOI 10.1016/j.saa.2024.124068
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  10. Artikel ; Online: Lipopolysaccharide-induced intestinal inflammation on AIM2-mediated pyroptosis in the brain of rats with cerebral small vessel disease.

    Xu, Huiping / Xiao, Han / Tang, Qiqiang

    Experimental neurology

    2024  Band 375, Seite(n) 114746

    Abstract: Cerebral small vessel disease (CSVD) is a cerebral vascular disease with insidious onset and poor clinical treatment effect, which is related to neuroinflammation. This study investigated whether lipopolysaccharide-induced intestinal inflammation ... ...

    Abstract Cerebral small vessel disease (CSVD) is a cerebral vascular disease with insidious onset and poor clinical treatment effect, which is related to neuroinflammation. This study investigated whether lipopolysaccharide-induced intestinal inflammation enhanced the level of pyroptosis in the brain of rats with CSVD. The bilateral carotid artery occlusion (BCAO) model was selected as the object of study. Firstly, behavioral tests and Hematoxylin-eosin staining (HE staining) were performed to determine whether the model was successful, and then the AIM2 inflammasome and pyroptosis indexes (AIM2, ASC, Caspase-1, IL-1β, GSDMD, N-GSDMD) in the brain were detected by Western blotting and Immunohistochemistry (IHC). Finally, a single intraperitoneal injection of lipopolysaccharide (LPS) was used to induce intestinal inflammation in rats, the expression of GSDMD and N-GSDMD in the brain was analyzed by Western blotting and to see if pyroptosis caused by intestinal inflammation can be inhibited by Disulfiram, an inhibitor of pyroptosis. The results showed that the inflammatory response and pyroptosis mediated by the AIM2 inflammasome in BCAO rats were present in both brain and intestine. The expression of N-GSDMD, a key marker of pyroptosis, in the brain was significantly increased and inhibited by Disulfiram after LPS-induced enhancement of intestinal inflammation. This study shows that AIM2-mediated inflammasome activation and pyroptosis exist in both brain and intestine in the rat model of CSVD. The enhancement of intestinal inflammation will increase the level of pyroptosis in the brain. In the future, targeted regulation of the AIM2 inflammasome may become a new strategy for the clinical treatment of CSVD.
    Mesh-Begriff(e) Animals ; Rats ; Brain/metabolism ; Cerebral Small Vessel Diseases ; Disulfiram/pharmacology ; DNA-Binding Proteins/metabolism ; Inflammasomes/metabolism ; Inflammation/chemically induced ; Lipopolysaccharides ; NLR Family, Pyrin Domain-Containing 3 Protein/metabolism ; Pyroptosis/physiology
    Chemische Substanzen AIM2 protein, rat ; Disulfiram (TR3MLJ1UAI) ; DNA-Binding Proteins ; Inflammasomes ; Lipopolysaccharides ; NLR Family, Pyrin Domain-Containing 3 Protein
    Sprache Englisch
    Erscheinungsdatum 2024-02-29
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 207148-4
    ISSN 1090-2430 ; 0014-4886
    ISSN (online) 1090-2430
    ISSN 0014-4886
    DOI 10.1016/j.expneurol.2024.114746
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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