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  1. Article ; Online: Individual-level precision diagnosis for coronavirus disease 2019 related severe outcome

    Chaorui C. Huang / Hong Xu

    Scientific Reports, Vol 13, Iss 1, Pp 1-

    an early study in New York

    2023  Volume 9

    Abstract: Abstract Because of inadequate information provided by the on-going population level risk analyses for Coronavirus disease 2019 (COVID-19), this study aimed to evaluate the risk factors and develop an individual-level precision diagnostic method for ... ...

    Abstract Abstract Because of inadequate information provided by the on-going population level risk analyses for Coronavirus disease 2019 (COVID-19), this study aimed to evaluate the risk factors and develop an individual-level precision diagnostic method for COVID-19 related severe outcome in New York State (NYS) to facilitate early intervention and predict resource needs for patients with COVID-19. We analyzed COVID-19 related hospital encounter and hospitalization in NYS using Statewide Planning and Research Cooperative System hospital discharge dataset. Logistic regression was performed to evaluate the risk factors for COVID-19 related mortality. We proposed an individual-level precision diagnostic method by taking into consideration of the different weights and interactions of multiple risk factors. Age was the greatest risk factor for COVID-19 related fatal outcome. By adding other demographic variables, dyspnea or hypoxemia and multiple chronic co-morbid conditions, the model predictive accuracy was improved to 0.85 (95% CI 0.84–0.85). We selected cut-off points for predictors and provided a general recommendation to categorize the levels of risk for COVID-19 related fatal outcome, which can facilitate the individual-level diagnosis and treatment, as well as medical resource prediction. We further provided a use case of our method to evaluate the feasibility of public health policy for monoclonal antibody therapy.
    Keywords Medicine ; R ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Author Correction

    Chaorui C. Huang / Hong Xu

    Scientific Reports, Vol 13, Iss 1, Pp 1-

    Individual-level precision diagnosis for coronavirus disease 2019 related severe outcome: an early study in New York

    2023  Volume 1

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2023-09-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Influencing factors and knowledge related to AIDS among high-risk male population in Chongqing

    Haibo Liu / Hong Xu

    Journal of Men's Health, Vol 19, Iss 11, Pp 96-

    2023  Volume 101

    Abstract: This study aims to investigate the influencing factors and Acquired Immune Deficiency Syndrome (AIDS) related knowledge among high-risk male population in Chongqing. A total of 388 men who had sex with their fellow men (MSM) and volunteered for ... ...

    Abstract This study aims to investigate the influencing factors and Acquired Immune Deficiency Syndrome (AIDS) related knowledge among high-risk male population in Chongqing. A total of 388 men who had sex with their fellow men (MSM) and volunteered for counseling or human immunodeficiency virus (HIV) testing in Chongqing were divided into two groups identified as: aware group (n = 299) and unaware group (n = 89). According to the study subjects, the MSM sentinel surveillance questionnaire of the Chinese Center for Disease Control and Prevention was utilized to investigate their AIDS awareness demographic and behavioral characteristics. Univariate analysis was also applied to analyze the influencing factors of their AIDS knowledge. Binary multivariate logistic analysis was further used to screen the independent risk factors of AIDS inadequate knowledge, leading to the use of regression analysis model. Furthermore, hosmer and lemeshow were employed to test the goodness and fitness of the regression analysis model. Finally, SPSS was used to draw receiver operating characteristic (ROC) curves to evaluate the predictive value of the regression analysis model. Among 388 respondents, 299 participants were aware while 89 participants were unaware of AIDS-related knowledge with an overall awareness rate of 77.06%; univariate and multivariate logistic regression analysis showed that education (high school and below) and household registration (other places) were risk factors for AIDS-related knowledge in high-risk male groups in Chongqing. In addition, a probability model predicted high incidence of AIDS in high-risk male groups in Chongqing because of inadequate AIDS knowledge: P = 1/[1 + exp (1.429 − 1.169X2 − 0.969X3)]. The overall level of awareness of AIDS-related knowledge among high-risk male groups in Chongqing was not high because of low education levels (high school or below) and foreign household registration.
    Keywords chongqing area ; male high-risk group ; aids-related knowledge ; awareness ; influenc-ing factors ; regression model ; Medicine (General) ; R5-920
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher MRE Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Global Behavior of a Multi–Group Seir Epidemic Model with Spatial Diffusion in a Heterogeneous Environment

    Liu Pengyan / Li Hong-Xu

    International Journal of Applied Mathematics and Computer Science, Vol 32, Iss 2, Pp 271-

    2022  Volume 283

    Abstract: In this paper, we propose a multi-group SEIR epidemic model with spatial diffusion, where the model parameters are spatially heterogeneous. The positivity and ultimate boundedness of the solution, as well as the existence of a global attractor of the ... ...

    Abstract In this paper, we propose a multi-group SEIR epidemic model with spatial diffusion, where the model parameters are spatially heterogeneous. The positivity and ultimate boundedness of the solution, as well as the existence of a global attractor of the associated solution semiflow, are established. The definition of the basic reproduction number is given by utilizing the next generation operator approach, whereby threshold-type results on the global dynamics in terms of this number are established. That is, when the basic reproduction number is less than one, the disease-free steady state is globally asymptotically stable, while if it is greater than one, uniform persistence of this model is proved. Finally, the feasibility of the main theoretical results is shown with the aid of numerical examples for a model with two groups.
    Keywords global stability ; multi-group epidemic model ; spatial heterogeneity ; spatial diffusion ; Mathematics ; QA1-939 ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 612
    Language English
    Publishing date 2022-06-01T00:00:00Z
    Publisher Sciendo
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Planning Urban Internal Transport Based on Cell Phone Data

    Hong Xu / Jin Zhao

    Applied Sciences, Vol 12, Iss 8433, p

    2022  Volume 8433

    Abstract: Based on cell phone data, mining residents’ travel characteristics and regional traffic connection characteristics has become an important technology for urban road traffic planning research. Based on cell phone data extracted from Wuxue City, this paper ...

    Abstract Based on cell phone data, mining residents’ travel characteristics and regional traffic connection characteristics has become an important technology for urban road traffic planning research. Based on cell phone data extracted from Wuxue City, this paper proposes an operability method for mining regional traffic contact intensity information based on cell phone data and an urban road network evaluation method. We analyze the travel characteristics of residents and the current situation of traffic connections between towns by constructing a planning road model of Wuxue city and find that the traffic connection of Wuxue city shows a spatial development pattern with Wuxue street as the intersection, one horizontal and one vertical, and the traffic accessibility gradually decreases from south to north. We analyze the spatial characteristics and problems of the planning of the road network in Wuxue and propose a modification plan. We verify the reasonableness of the modified plan by calculating traffic accessibility and road density. The research provides a new way to obtain spatio-temporal information about passenger flows by applying cell phone data to urban road planning.
    Keywords mobile phone signaling data ; intensity of urban transport links ; road planning ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 380 ; 710
    Language English
    Publishing date 2022-08-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Potential therapeutic target for polysaccharide inhibition of colon cancer progression

    Jiawei Fan / Jianshu Zhu / He Zhu / Yinmeng Zhang / Hong Xu

    Frontiers in Medicine, Vol

    2024  Volume 10

    Abstract: In recent years, colon cancer has become one of the most common malignant tumors worldwide, posing a great threat to human health. Studies have shown that natural polysaccharides have rich biological activities and medicinal value, such as anti- ... ...

    Abstract In recent years, colon cancer has become one of the most common malignant tumors worldwide, posing a great threat to human health. Studies have shown that natural polysaccharides have rich biological activities and medicinal value, such as anti-inflammatory, anti-cancer, anti-oxidation, and immune-enhancing effects, especially with potential anti-colon cancer mechanisms. Natural polysaccharides can not only protect and enhance the homeostasis of the intestinal environment but also exert a direct inhibition effect on cancer cells, making it a promising strategy for treating colon cancer. Preliminary clinical experiments have demonstrated that oral administration of low and high doses of citrus pectin polysaccharides can reduce tumor volume in mice by 38% (p < 0.02) and 70% (p < 0.001), respectively. These results are encouraging. However, there are relatively few clinical studies on the effectiveness of polysaccharide therapy for colon cancer, and ensuring the effective bioavailability of polysaccharides in the body remains a challenge. In this article, we elucidate the impact of the physicochemical factors of polysaccharides on their anticancer effects and then reveal the anti-tumor effects and mechanisms of natural polysaccharides on colon cancer. Finally, we emphasize the challenges of using polysaccharides in the treatment of colon cancer and discuss future applications.
    Keywords colon cancer ; polysaccharide ; immunity ; intestinal microbiota ; apoptosis ; Medicine (General) ; R5-920
    Subject code 610
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Spatial Patterns and Multi-Dimensional Impact Analysis of Urban Street Quality Perception under Multi-Source Data

    Tianyue Li / Hong Xu / Haozun Sun

    Applied Sciences, Vol 13, Iss 21, p

    A Case Study of Wuchang District in Wuhan, China

    2023  Volume 11740

    Abstract: The human spatial perception of urban streets has a high complexity and traditional research methods often focus on access surveys of human perception. Urban streets serve as both a direct conduit for pedestrians’ impressions of a city and a reflection ... ...

    Abstract The human spatial perception of urban streets has a high complexity and traditional research methods often focus on access surveys of human perception. Urban streets serve as both a direct conduit for pedestrians’ impressions of a city and a reflection of the spatial quality of that city. Street-view images can provide a large amount of primary data for the image semantic segmentation technique. Deep learning techniques were used in this study to collect the boring, beautiful, depressing, lively, safe, and wealthy perception scores of street spaces based on these images. Then, the spatial pattern of urban street-space quality perception was analyzed by global Moran’s I and GIS hotspot analyses. The findings demonstrate that various urban facilities affect street quality perception in different ways and that the strength of an influencing factor’s influence varies depending on its geographical location. The results of the influencing factors reveal the difference in the degree of influence of positive and negative influencing factors on various perceptions of the visual dimension of pedestrians. The primary contribution of this study is that it reduces the potential bias of a single data source by using multi-dimensional impact analysis to explain the relationship between urban street perception and urban facilities and visual elements. The study’s findings offer direction for high-quality urban development as well as advice for urban planning and enhanced design.
    Keywords urban quality ; human perception ; spatial regression ; geospatial big data ; urban computing ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 710
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Can Grassroots Governments’ Environmental Attention Effectively Improve Air Pollution? Empirical Evidence from Satellite Remote Sensing Technology

    Kai Lin / Yanli Shi / Hong Xu

    Sustainability, Vol 15, Iss 21, p

    2023  Volume 15309

    Abstract: Air pollution poses a global challenge, prompting governments worldwide to implement environmental policies aimed at its mitigation. However, grassroots management is key to the effectiveness of pollution management. Traditional air monitoring, ranging ... ...

    Abstract Air pollution poses a global challenge, prompting governments worldwide to implement environmental policies aimed at its mitigation. However, grassroots management is key to the effectiveness of pollution management. Traditional air monitoring, ranging from a specific point to broader areas, has inherent limitations. In contrast, satellite remote sensing technology offers extensive spatial and temporal coverage, enabling real-time monitoring of data transmission. Can the amalgamation of grassroots governance and satellite remote sensing technology significantly enhance air pollution control? This article leverages satellite remote sensing data and county-level economic and social data from China spanning the period 2008 to 2019 to empirically explore the impact and mechanism of government environmental constraints on air pollution in grassroots areas. The following results were found: (1) Grassroots government environmental constraints exert a significant inhibitory effect on air pollution, and this conclusion remains valid after a series of robustness tests. (2) Mechanism tests reveal that grassroots government environmental constraints reduce county-level air pollution by fostering urbanization, enhancing industrial structures, and promoting innovation in green technologies. (3) There exists heterogeneity in the inhibitory effect of grassroots environmental constraints on air pollution, with a more pronounced impact in areas focusing on environmental protection, facing no economic constraints, large-scale, and located in central and western regions. The green governance awareness of a higher-level government shows an interaction effect on the reduction in environmental constraints at the grassroots government level, collectively contributing to the decrease in regional air pollution. The conclusion of this article underscores the vital role of satellite remote sensing technology in pollution control and provides insights into the direction of environmental regulation.
    Keywords environmental constraints ; remote sensing ; air pollution ; local government ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 333 ; 710
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Neural representation of sexual satiety in mice

    Ming-Juan Li / Xiao-Hong Xu

    Zoological Research, Vol 44, Iss 3, Pp 522-

    2023  Volume 524

    Keywords Zoology ; QL1-991
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher Science Press, PR China
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Improved related‐tweakey rectangle attacks on round‐reduced Deoxys‐BC

    Jiamei Liu / Lin Tan / Hong Xu

    IET Information Security, Vol 17, Iss 3, Pp 407-

    2023  Volume 422

    Abstract: Abstract Deoxys‐BC is the internal tweakable block cipher of the authenticated encryption (AE) Deoxys family, in which Deoxys‐II is the primary choice for the use case of ‘Defence in depth’ among the portfolio of CAESAR competition. Improvements of the ... ...

    Abstract Abstract Deoxys‐BC is the internal tweakable block cipher of the authenticated encryption (AE) Deoxys family, in which Deoxys‐II is the primary choice for the use case of ‘Defence in depth’ among the portfolio of CAESAR competition. Improvements of the related‐tweakey rectangle attacks on round‐reduced Deoxys‐BC using the known distinguishers is focussed in this study. Under the new related‐key rectangle attack framework proposed by Dong et al. in EUROCRYPT 2022, we present three kinds of precomputed tables to further reduce the time complexity in the key‐recovery phase. In the related‐tweakey rectangle attack, the invalid quartets are filtered or the subtweakey candidates are obtained by lookup the precomputed tables without more computation. Based on the precomputed table technique, we improved the related‐tweakey rectangle attacks on 11‐round Deoxys‐BC‐256, 13‐round and 14‐round Deoxys‐BC‐384. Furthermore, we reduce the time complexity of the 13‐round related‐tweakey rectangle attack on Deoxys AE scheme Deoxys‐I‐256‐128 by a factor of 224 compared with the best previous attack.
    Keywords authenticated encryption ; block cipher ; Deoxys‐BC ; rectangle attack ; related‐tweakey ; Computer engineering. Computer hardware ; TK7885-7895 ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 303
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher Hindawi-IET
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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