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  1. Article ; Online: The effect of rice storage on the eating quality

    Song Rui

    BIO Web of Conferences, Vol 72, p

    2023  Volume 01011

    Abstract: This study investigated the impact of different storage temperatures on the quality of rice during an 11-month storage period. Rice is a crucial staple food, and maintaining its quality during storage is essential for food security. The research focused ... ...

    Abstract This study investigated the impact of different storage temperatures on the quality of rice during an 11-month storage period. Rice is a crucial staple food, and maintaining its quality during storage is essential for food security. The research focused on moisture content and fatty acid value as key indicators of rice quality. Results showed that low-temperature storage, specifically at 0°C and 10°C, contributed to slower moisture loss and reduced lipid degradation compared to room temperature storage (25°C). This study underscores the significance of low-temperature storage in preserving the quality of rice over time.
    Keywords Microbiology ; QR1-502 ; Physiology ; QP1-981 ; Zoology ; QL1-991
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Book ; Online: LinkDID

    Song, Rui

    A Privacy-Preserving, Sybil-Resistant and Key-Recoverable Decentralized Identity Scheme

    2023  

    Abstract: Decentralized identity mechanisms endeavor to endow users with complete sovereignty over their digital assets within the Web3 ecosystem. Unfortunately, this benefit frequently comes at the expense of users' credential and identity privacy. Additionally, ... ...

    Abstract Decentralized identity mechanisms endeavor to endow users with complete sovereignty over their digital assets within the Web3 ecosystem. Unfortunately, this benefit frequently comes at the expense of users' credential and identity privacy. Additionally, existing schemes fail to resist Sybil attacks that have long plagued Web3, and lack reasonable key recovery mechanisms to regain control of digital assets after loss. In this work, we propose LinkDID, a privacy-preserving, Sybil-resistant, and key-recoverable decentralized identity scheme that supports selective disclosure of credentials for arbitrary predicates while maintaining privacy for credentials and identities. Through an identifier association mechanism, LinkDID can privately and forcibly aggregate users' identifiers, providing Sybil resistance without relying on any external data or collateral from benign users. To enable key recovery, LinkDID permits users to establish proofs of ownership for identifiers with lost keys and request an update of corresponding keys from the decentralized ledger. We provide a detailed theoretical analysis and security proofs of LinkDID, along with an exhaustive performance evaluation that shows its ability to complete interactions in less than 10 seconds on consumer-grade devices.

    Comment: 20 pages
    Keywords Computer Science - Cryptography and Security
    Subject code 303
    Publishing date 2023-07-27
    Publishing country us
    Document type Book ; Online
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  3. Article ; Online: Enhancing two-stage object detection models via data-driven anchor box optimization in UAV-based maritime SAR.

    Zhao, Beigeng / Song, Rui

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 4765

    Abstract: The high-altitude imaging capabilities of Unmanned Aerial Vehicles (UAVs) offer an effective solution for maritime Search and Rescue (SAR) operations. In such missions, the accurate identification of boats, personnel, and objects within images is crucial. ...

    Abstract The high-altitude imaging capabilities of Unmanned Aerial Vehicles (UAVs) offer an effective solution for maritime Search and Rescue (SAR) operations. In such missions, the accurate identification of boats, personnel, and objects within images is crucial. While object detection models trained on general image datasets can be directly applied to these tasks, their effectiveness is limited due to the unique challenges posed by the specific characteristics of maritime SAR scenarios. Addressing this challenge, our study leverages the large-scale benchmark dataset SeaDronesSee, specific to UAV-based maritime SAR, to analyze and explore the unique attributes of image data in this scenario. We identify the need for optimization in detecting specific categories of difficult-to-detect objects within this context. Building on this, an anchor box optimization strategy is proposed based on clustering analysis, aimed at enhancing the performance of the renowned two-stage object detection models in this specialized task. Experiments were conducted to validate the proposed anchor box optimization method and to explore the underlying reasons for its effectiveness. The experimental results show our optimization method achieved a 45.8% and a 10% increase in average precision over the default anchor box configurations of torchvision and the SeaDronesSee official sample code configuration respectively. This enhancement was particularly evident in the model's significantly improved ability to detect swimmers, floaters, and life jackets on boats within the SeaDronesSee dataset's SAR scenarios. The methods and findings of this study are anticipated to provide the UAV-based maritime SAR research community with valuable insights into data characteristics and model optimization, offering a meaningful reference for future research.
    Language English
    Publishing date 2024-02-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-55570-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: A Rare Case Report of Disseminated Nocardia Farcinica Granulomatous Hepatitis and Clinical Management Experience.

    Song, Rui Juan / Zhang, Guang Lin

    Infection and drug resistance

    2024  Volume 17, Page(s) 1523–1528

    Abstract: Background: Nocardiosis is primarily an opportunistic infection affecting immunocompromised individuals, with a predilection for the lungs, brain, or skin in those with compromised immune function. Granulomatous hepatitis caused by Nocardia is a rare ... ...

    Abstract Background: Nocardiosis is primarily an opportunistic infection affecting immunocompromised individuals, with a predilection for the lungs, brain, or skin in those with compromised immune function. Granulomatous hepatitis caused by Nocardia is a rare clinical manifestation. This study aims to provide a systematic overview of the clinical features of Nocardiosis caused by Nocardia farcinica, enhancing our understanding of this disease.
    Methods: We report a case of a 75-year-old male with no underlying diseases presenting with a history of "recurrent fever for more than 4 months", along with fatigue, poor appetite, and pleural and abdominal effusion. Despite treatment at multiple hospitals, the patient showed little improvement. Chest CT revealed chronic inflammation, small nodules, bilateral pleural effusion, and pleural thickening. Abdominal CT indicated multiple low-density lesions in the liver, multiple small calcifications, and abdominal effusion.
    Results: Liver biopsy suggested inflammatory changes, with focal granuloma formation. Metagenomic next-generation sequencing (mNGS) of liver tissue indicated Nocardia farcinica, leading to the final diagnosis of disseminated Nocardia farcinica granulomatous hepatitis.
    Conclusion: Nocardia infection is a rare disease primarily observed in immunocompromised patients but can also occur in those with normal immune function. The clinical and radiological features lack specificity; however, the utilization of mNGS technology enables rapid identification of the pathogenic microorganism. Nocardia farcinica is generally susceptible to sulfonamide drugs and amikacin, offering viable treatment options.
    Language English
    Publishing date 2024-04-17
    Publishing country New Zealand
    Document type Case Reports
    ZDB-ID 2494856-1
    ISSN 1178-6973
    ISSN 1178-6973
    DOI 10.2147/IDR.S461494
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  5. Article ; Online: Optical Intracranial Self-Stimulation (oICSS): A New Behavioral Model for Studying Drug Reward and Aversion in Rodents.

    Song, Rui / Soler-Cedeño, Omar / Xi, Zheng-Xiong

    International journal of molecular sciences

    2024  Volume 25, Issue 6

    Abstract: Brain-stimulation reward, also known as intracranial self-stimulation (ICSS), is a commonly used procedure for studying brain reward function and drug reward. In electrical ICSS (eICSS), an electrode is surgically implanted into the medial forebrain ... ...

    Abstract Brain-stimulation reward, also known as intracranial self-stimulation (ICSS), is a commonly used procedure for studying brain reward function and drug reward. In electrical ICSS (eICSS), an electrode is surgically implanted into the medial forebrain bundle (MFB) in the lateral hypothalamus or the ventral tegmental area (VTA) in the midbrain. Operant lever responding leads to the delivery of electrical pulse stimulation. The alteration in the stimulation frequency-lever response curve is used to evaluate the impact of pharmacological agents on brain reward function. If a test drug induces a leftward or upward shift in the eICSS response curve, it implies a reward-enhancing or abuse-like effect. Conversely, if a drug causes a rightward or downward shift in the functional response curve, it suggests a reward-attenuating or aversive effect. A significant drawback of eICSS is the lack of cellular selectivity in understanding the neural substrates underlying this behavior. Excitingly, recent advancements in optical ICSS (oICSS) have facilitated the development of at least three cell type-specific oICSS models-dopamine-, glutamate-, and GABA-dependent oICSS. In these new models, a comparable stimulation frequency-lever response curve has been established and employed to study the substrate-specific mechanisms underlying brain reward function and a drug's rewarding versus aversive effects. In this review article, we summarize recent progress in this exciting research area. The findings in oICSS have not only increased our understanding of the neural mechanisms underlying drug reward and addiction but have also introduced a novel behavioral model in preclinical medication development for treating substance use disorders.
    MeSH term(s) Animals ; Self Stimulation ; Rodentia ; Reward ; Mesencephalon ; Medial Forebrain Bundle ; Electric Stimulation
    Language English
    Publishing date 2024-03-19
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms25063455
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Urban Human Settlement Vulnerability Evolution and Mechanisms: The Case of Anhui Province, China

    Song, Rui / Li, Xueming

    Land. 2023 Apr. 30, v. 12, no. 5

    2023  

    Abstract: In this paper, taking the jurisdiction of Anhui Province as the research area, a vulnerability assessment index system of human settlements was constructed from “exposure–sensitivity–coping ability”. Based on the GIS spatial analysis method, the spatial ... ...

    Abstract In this paper, taking the jurisdiction of Anhui Province as the research area, a vulnerability assessment index system of human settlements was constructed from “exposure–sensitivity–coping ability”. Based on the GIS spatial analysis method, the spatial and temporal evolution characteristics of human settlements in Anhui Province were analyzed. The influences of human factors and natural factors on the spatial differentiation of human settlement vulnerability were explored by using geographic detectors, and the driving mechanism of the evolution of human settlement vulnerability was analyzed. An analysis of the results showed the following: ① With a change in the time scale, the human settlement vulnerability index showed a trend of decreasing year by year, the exposure and sensitivity show a downward trend year by year in the three major subsystems, and the coping ability shows an upward trend year by year. ② The evolution of the vulnerability subsystems of exposure, sensitivity, and coping ability in human settlement environments showed the directions of “medium–high–low (M-H-L)” in the early stage, “low–high–medium (L-H-M)” in the middle stage, and “low–medium–high (L-M-H)” in the later stage. ③ The causes of high vulnerability were as follows: The leading factors in the early stage were natural factors, the leading factors in the middle period were natural and human factors, and the leading factors in the later stage were human factors. ④ One-factor and two-factor interactive detection using a geodetector showed that urbanization, industrialization, land use control, and per capita income levels have become key and “short-board” factors that control the vulnerability of human settlements.
    Keywords evolution ; human settlements ; humans ; income ; industrialization ; land ; land use ; risk assessment ; spatial variation ; urbanization ; China
    Language English
    Dates of publication 2023-0430
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article ; Online
    ZDB-ID 2682955-1
    ISSN 2073-445X
    ISSN 2073-445X
    DOI 10.3390/land12050994
    Database NAL-Catalogue (AGRICOLA)

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  7. Article ; Online: Response by Song and Zhang to Letters Regarding Article, "MicroRNA-210 Controls Mitochondrial Metabolism and Protects Heart Function in Myocardial Infarction".

    Song, Rui / Zhang, Lubo

    Circulation

    2022  Volume 146, Issue 12, Page(s) e171–e172

    MeSH term(s) Cardiovascular Physiological Phenomena ; Humans ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Mitochondria/genetics ; Mitochondria/metabolism ; Myocardial Infarction/genetics ; Myocardial Infarction/metabolism
    Chemical Substances MIRN210 microRNA, human ; MicroRNAs
    Language English
    Publishing date 2022-09-19
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 80099-5
    ISSN 1524-4539 ; 0009-7322 ; 0069-4193 ; 0065-8499
    ISSN (online) 1524-4539
    ISSN 0009-7322 ; 0069-4193 ; 0065-8499
    DOI 10.1161/CIRCULATIONAHA.122.061220
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: A Se-induced heterostructure electrode with polymetallic-CoNiFe towards high performance supercapacitors.

    Zhao, Liyun / Guo, Haoran / Li, Yanyan / Liu, Zhengyuan / Song, Rui

    Nanoscale

    2024  Volume 16, Issue 4, Page(s) 1880–1889

    Abstract: Rational regulation of electrode materials with high conductivity and unexceptionable cycling stability is crucial to meet the requirements of high-performance supercapacitors (SCs). Herein, a hierarchical porous kebab-like heterostructure (CoNiFe-Se) is ...

    Abstract Rational regulation of electrode materials with high conductivity and unexceptionable cycling stability is crucial to meet the requirements of high-performance supercapacitors (SCs). Herein, a hierarchical porous kebab-like heterostructure (CoNiFe-Se) is prepared by a facile solvothermal reaction and selenization step. Both experimental and computational results demonstrate that incorporating Se
    Language English
    Publishing date 2024-01-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 2515664-0
    ISSN 2040-3372 ; 2040-3364
    ISSN (online) 2040-3372
    ISSN 2040-3364
    DOI 10.1039/d3nr05222b
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  9. Article: Impact of wine-grape continuous cropping on soil enzyme activity and the composition and function of the soil microbial community in arid areas.

    Song, Rui / Zhu, Wen Zong / Li, Hua / Wang, Hua

    Frontiers in microbiology

    2024  Volume 15, Page(s) 1348259

    Abstract: Introduction: Continuous cropping affected the stability of soil enzyme activity and the structural characteristics of microbial community. Owing to challenges in the study of complex rhizosphere microbial communities, the composition and function of ... ...

    Abstract Introduction: Continuous cropping affected the stability of soil enzyme activity and the structural characteristics of microbial community. Owing to challenges in the study of complex rhizosphere microbial communities, the composition and function of these microbial communities in farmland ecosystems remain elusive. Here, we studied the microbial communities of the rhizosphere of wine grapes with different years of continuous cropping and investigated their relationships with soil enzyme activity.
    Methods: Metagenomic sequencing was conducted on the rhizosphere soils from one uncultivated wasteland and four vineyards with varying durations of continuous cropping.
    Results: The predominant microbial were bacteria (98.39%), followed by archaea (1.15%) and eukaryotes (0.45%). Continuous cropping caused a significant increase in the relative abundance of
    Conclusion: Our findings reveal the composition and function of the soil microbial communities and enzymes activity in response to changes in cropping years, which has important implications for overcoming continuous cropping obstacles and optimizing land use.
    Language English
    Publishing date 2024-02-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2024.1348259
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  10. Article ; Online: SCFormer: Spectral Coordinate Transformer for Cross-Domain Few-Shot Hyperspectral Image Classification.

    Li, Jiaojiao / Zhang, Zhiyuan / Song, Rui / Li, Yunsong / Du, Qian

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

    2024  Volume 33, Page(s) 840–855

    Abstract: Cross-domain (CD) hyperspectral image classification (HSIC) has been significantly boosted by methods employing Few-Shot Learning (FSL) based on CNNs or GCNs. Nevertheless, the majority of current approaches disregard the prior information of spectral ... ...

    Abstract Cross-domain (CD) hyperspectral image classification (HSIC) has been significantly boosted by methods employing Few-Shot Learning (FSL) based on CNNs or GCNs. Nevertheless, the majority of current approaches disregard the prior information of spectral coordinates with limited interpretability, leading to inadequate robustness and knowledge transfer. In this paper, we propose an asymmetric encoder-decoder architecture, Spectral Coordinate Transformer (SCFormer), for the CDFSL HSIC task. Several dense Spectral Coordinate blocks (SC blocks) are embedded in the backbone of the encoder to establish feature representation with better generalization, which integrates spectral coordinates via Rotary Position Embedding (RoPE) to minimize spectral position disturbance caused by the convolution operation. Due to a large amount of hyperspectral image data and the high demand for model generalization ability in cross-domain scenarios, we design two mask patterns (Random Mask and Sequential Mask) built on unexploited spectral coordinates within the SC blocks, which are unified with the asymmetric structure to learn high-capacity models efficiently and effectively with satisfactory generalization. Besides, from the perspective of the loss function, we devise an intra-domain loss function founded on the Orthogonal Complement Space Projection (OCSP) theory to facilitate the aggregation of samples in the metric space, which promotes intra-domain consistency and increases interpretability. Finally, the strengthened class expression capacity of the intra-domain loss function contributes to the inter-domain loss function constructed by Wasserstein Distance (WD) for realizing domain alignment. Experimental results on four benchmark data sets demonstrate the superiority of the SCFormer.
    Language English
    Publishing date 2024-01-19
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0042
    ISSN (online) 1941-0042
    DOI 10.1109/TIP.2024.3351443
    Database MEDical Literature Analysis and Retrieval System OnLINE

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