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  1. Book ; Online: Privacy-Preserving Distributed Energy Resource Control with Decentralized Cloud Computing

    Huo, Xiang / Liu, Mingxi

    2023  

    Abstract: The rapidly growing penetration of renewable energy resources brings unprecedented challenges to power distribution networks - management of a large population of grid-tied controllable devices encounters control scalability crises and potential end-user ...

    Abstract The rapidly growing penetration of renewable energy resources brings unprecedented challenges to power distribution networks - management of a large population of grid-tied controllable devices encounters control scalability crises and potential end-user privacy breaches. Despite the importance, research on privacy preservation of distributed energy resource (DER) control in a fully scalable manner is lacked. To fill the gap, this paper designs a novel decentralized privacy-preserving DER control framework that 1) achieves control scalability over DER population and heterogeneity; 2) eliminates peer-to-peer communications and secures the privacy of all participating DERs against various types of adversaries; and 3) enjoys higher computation efficiency and accuracy compared to state-of-the-art privacy-preserving methods. A strongly coupled optimization problem is formulated to control the power consumption and output of DERs, including solar photovoltaics and energy storage systems, then solved using the projected gradient method. Cloud computing and secret sharing are seamlessly integrated into the proposed decentralized computing to achieve privacy preservation. Simulation results prove the capabilities of the proposed approach in DER control applications.
    Keywords Mathematics - Optimization and Control
    Subject code 303
    Publishing date 2023-01-05
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: A Public Health Perspective on Influenza Status in the Context of COVID-19 Pandemic, 2019-2020.

    Huo, Xiang / Zhu, Fengcai

    China CDC weekly

    2021  Volume 2, Issue 44, Page(s) 870–872

    Language English
    Publishing date 2021-09-30
    Publishing country China
    Document type Journal Article
    ISSN 2096-7071
    ISSN (online) 2096-7071
    DOI 10.46234/ccdcw2020.231
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Fluorescent immunoassay for chloramphenicol based on the label-free polyadenine-mediated spherical nucleic acids triggered signal amplification.

    Shen, Weiwei / Hong, Qing / Huo, Xiang / Zhou, Yijing / Guo, Yahui / Liu, Zhenmin

    Analytical sciences : the international journal of the Japan Society for Analytical Chemistry

    2024  

    Abstract: A fluorescent immunosorbent assay incorporating signal amplification away from the surface of spherical nucleic acid (SNA) was developed for the detection of chloramphenicol (CAP). Through the conjugation of antibodies and poly-adenine (polyA) DNA onto ... ...

    Abstract A fluorescent immunosorbent assay incorporating signal amplification away from the surface of spherical nucleic acid (SNA) was developed for the detection of chloramphenicol (CAP). Through the conjugation of antibodies and poly-adenine (polyA) DNA onto the surface of gold nanoparticles (AuNPs), the fabrication of the nano-immunoprobe was achieved in a more straightforward and cost-effective manner. Moreover, a strategy utilizing the hybridization chain reaction (HCR) in the amplification step was devised, with particular attention given to the enzyme inhibition associated with SNA. The results demonstrated good performance on CAP detection with a linear range of 0.01-5 ng/L with a detection limit of 0.005 ng/L. The significance of this work mainly lies in the polyA-SNA-based immunoprobe and the thoughtful design to prevent enzyme inhibition.
    Language English
    Publishing date 2024-04-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1483376-1
    ISSN 1348-2246 ; 1348-2246
    ISSN (online) 1348-2246
    ISSN 1348-2246
    DOI 10.1007/s44211-024-00565-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Electroacupuncture for obesity: A systematic review and meta-analysis.

    Teng, Jing-Quan / Chen, Jia / Yu, Xiao / Huo, Xiang-Xiang

    Asian journal of surgery

    2023  Volume 46, Issue 11, Page(s) 4844–4845

    MeSH term(s) Humans ; Electroacupuncture ; Obesity
    Language English
    Publishing date 2023-06-13
    Publishing country Netherlands
    Document type Meta-Analysis ; Systematic Review ; Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2023.05.130
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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  5. Article ; Online: Influenza virus subtype/lineage-specific seasonal patterns and age-related infection risk, in Eastern China.

    Huo, Xiang / Fu, Junjie / Dai, Qigang / Zhu, Fengcai

    Journal of infection in developing countries

    2022  Volume 16, Issue 12, Page(s) 1928–1932

    Abstract: Introduction: Differences in seasonal pattern and age-related infection risk have been reported between Influenza type A and B, but have not been elaborated at subtype/lineage level.: Methodology: All laboratory-confirmed influenza cases reported in ... ...

    Abstract Introduction: Differences in seasonal pattern and age-related infection risk have been reported between Influenza type A and B, but have not been elaborated at subtype/lineage level.
    Methodology: All laboratory-confirmed influenza cases reported in the influenza surveillance system of Jiangsu Province, China from January 2011 to August 2019 were analyzed. Influenza seasonality was characterized using the Seasonal Decomposition method. Binary and multinomial logistic regressions were employed to calculate the odds ratios of influenza subtypes/lineages in relation to age.
    Results: A total of 28,772 confirmed influenza cases were included. Among them, a majority (64.1%) were influenza A infections. One annual peak was observed for A (H1N1) pdm and B-Yamagata in winter months, and for B-Victoria in spring months, while biannual peaks were observed for A (H3N2) in winter and summer months. Using all ages as the reference, children younger than 5 years and adults of 25-59 years were more likely to infect with A (H1N1) pdm. Older children aged 5-14 years had significantly higher odds of infection with influenza B of both lineages, while individuals aged 15-24 years had higher odds for A (H3N2) and B-Victoria. The elderly (60 years or older) were prone to be infected with A (H3N2) and B-Yamagata. For a specific age group, their likelihood of getting infected with an influenza subtype or lineage was related to the co-circulating influenza subtype or lineage.
    Conclusions: Influenza viruses have divergent seasonal peak times and age-related infection risk at subtype/lineage level.
    MeSH term(s) Adult ; Child ; Aged ; Humans ; Adolescent ; Influenza, Human/epidemiology ; Seasons ; Influenza A Virus, H1N1 Subtype ; Influenza A Virus, H3N2 Subtype ; China/epidemiology ; Disease Susceptibility ; Influenza Vaccines
    Chemical Substances Influenza Vaccines
    Language English
    Publishing date 2022-12-31
    Publishing country Italy
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2394024-4
    ISSN 1972-2680 ; 2036-6590
    ISSN (online) 1972-2680
    ISSN 2036-6590
    DOI 10.3855/jidc.14887
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Secondary attack rates of COVID-19 in diverse contact settings, a meta-analysis.

    Tian, Ting / Huo, Xiang

    Journal of infection in developing countries

    2020  Volume 14, Issue 12, Page(s) 1361–1367

    Abstract: Introduction: The secondary attack rate (SAR) measures the transmissibility of an infectious agent. The reported SAR of COVID-19 varied in a broad range, and between different contact settings.: Methodology: We conducted a meta-analysis on the SAR of ...

    Abstract Introduction: The secondary attack rate (SAR) measures the transmissibility of an infectious agent. The reported SAR of COVID-19 varied in a broad range, and between different contact settings.
    Methodology: We conducted a meta-analysis on the SAR of COVID-19 with adherence to the PRISMA guideline. We searched published literatures and preprints in international databases of PubMed and medRxiv, and in five major Chinese databases as of 20 April 2020, using the following search terms: ("COVID-19" and "secondary attack rate") or ("COVID-19" and "close contact"). The random effect model was chosen for pooled analyses, using R (version 3.6.3).
    Results: A total of 1,136 references were retrieved and 18 of them remained after screening. The pooled SAR of COVID-19 was 0.07 (95%: 0.03-0.12) in general. It differed significantly between contact settings, peaking in households (0.20, 95%: 0.15-0.28), followed by in social gatherings (0.06, 95%: 0.03-0.10). The point estimates of the pooled SARs in health facilities, transports, and work/study settings were all as low as 0.01. Among all the secondary cases, the proportion of asymptomatic infections was estimated to be 0.17 (95% CI: 0.09 - 0.34). The proportion was higher in households (0.26, 95% CI: 0.12-0.56), than in other contact settings.
    Conclusions: The transmission risk of SARS-CoV-2 is much higher in households than in other scenarios. Identification of asymptomatic secondary infections should be enhanced in households.
    MeSH term(s) Asymptomatic Diseases ; COVID-19/prevention & control ; COVID-19/transmission ; Databases, Factual ; Family Characteristics ; Global Health ; Humans ; Incidence ; Risk Factors
    Language English
    Publishing date 2020-12-31
    Publishing country Italy
    Document type Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't
    ZDB-ID 2394024-4
    ISSN 1972-2680 ; 2036-6590
    ISSN (online) 1972-2680
    ISSN 2036-6590
    DOI 10.3855/jidc.13256
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online: Exploration of For-Purpose Decentralized Algorithmic Cyber Attacks in EV Charging Control

    Fard, Mahan Fakouri / Huo, Xiang / Liu, Mingxi

    2023  

    Abstract: Distributed and decentralized multi-agent optimization (DMAO) algorithms enable the control of large-scale grid-edge resources, such as electric vehicles (EV), to provide power grid services. Despite its great scalability, DMAO is fundamentally prone to ... ...

    Abstract Distributed and decentralized multi-agent optimization (DMAO) algorithms enable the control of large-scale grid-edge resources, such as electric vehicles (EV), to provide power grid services. Despite its great scalability, DMAO is fundamentally prone to cyber attacks as it is highly dependent on frequent peer-to-peer communications. Existing cyber-security research in this regard mainly focuses on \emph{broad-spectrum} attacks aiming at jeopardizing the entire control system while losing the possibility of achieving specific attacking purposes. This paper, for the first time, explores novel \emph{for-purpose} algorithmic attacks that are launched by participating agents and interface with DMAO to achieve self-interest attack purposes. A decentralized EV charging control problem is formulated as an illustrative use case. Theoretical \emph{for-purpose} attack vectors with and without the stealthy feature are devised. Simulations on EV charging control show the practicability of the proposed algorithmic \emph{for-purpose} attacks and the impacts of such attacks on distribution networks.

    Comment: 6 pages, 6 Figures
    Keywords Electrical Engineering and Systems Science - Systems and Control
    Subject code 629
    Publishing date 2023-03-06
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Influenza surveillance in China: a big jump, but further to go.

    Huo, Xiang / Zhu, Feng-Cai

    The Lancet. Public health

    2019  Volume 4, Issue 9, Page(s) e436–e437

    MeSH term(s) China ; Disease Outbreaks ; Humans ; Influenza, Human/epidemiology
    Language English
    Publishing date 2019-09-02
    Publishing country England
    Document type Journal Article ; Comment
    ISSN 2468-2667
    ISSN (online) 2468-2667
    DOI 10.1016/S2468-2667(19)30158-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Book ; Online: Distributed Privacy-Preserving Electric Vehicle Charging Control Based on Secret Sharing

    Huo, Xiang / Liu, Mingxi

    2021  

    Abstract: Cooperative electric vehicle (EV) charging control has emerged as a key component in grid-edge resource (GER) management. However, customers' privacy remains a major barrier to large-scale implementation of EV charging control. In this paper, we develop ... ...

    Abstract Cooperative electric vehicle (EV) charging control has emerged as a key component in grid-edge resource (GER) management. However, customers' privacy remains a major barrier to large-scale implementation of EV charging control. In this paper, we develop a distributed privacy-preserving EV charging control protocol based on secret sharing (SS) that 1) achieves scalability over EV population size; 2) enjoys higher computation efficiency compared to homomorphic encryption (HE) based methods; and 3) secures the privacy of the participating EVs against honest-but-curious adversaries and external eavesdroppers. The cooperative EV charging control is formulated to achieve overnight valley-filling and framed into the projected gradient algorithm (PGA) structure as a distributed optimization problem. SS is integrated into PGA to achieve secure updates of both primal and dual variables. Theoretical security analyses and simulations in a residential area are conducted to prove the privacy preservation guarantee as well as the efficacy and efficiency of the proposed privacy preservation method. Broadly, the proposed method can be readily extended to various GER control applications.
    Keywords Electrical Engineering and Systems Science - Systems and Control
    Subject code 005
    Publishing date 2021-10-05
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: A Two-Stage Method for Target Searching in the Path Planning for Mobile Robots.

    Song, Tao / Huo, Xiang / Wu, Xinkai

    Sensors (Basel, Switzerland)

    2020  Volume 20, Issue 23

    Abstract: The path planning for target searching in mobile robots is critical for many applications, such as warehouse inspection and caring and surveillance for elderly people in the family scene. To ensure visual complete coverage from the camera equipped in ... ...

    Abstract The path planning for target searching in mobile robots is critical for many applications, such as warehouse inspection and caring and surveillance for elderly people in the family scene. To ensure visual complete coverage from the camera equipped in robots is one of the most challenging tasks. To tackle this issue, we propose a two-stage optimization model to efficiently obtain an approximate optimal solution. In this model, we first develop a method to determine the key locations for visual complete coverage of a two-dimensional grid map, which is constructed by drawing lessons from the method of corner detection in the image processing. Then, we design a planning problem for searching the shortest path that passes all key locations considering the frequency of target occurrence. The testing results show that the proposed algorithm can achieve the significantly shorter search path length and the shorter target search time than the current Rule-based Algorithm and Genetic Algorithm (GA) in various simulation cases. Furthermore, the results show that the improved optimization algorithm with the priori known frequency of occurrence of the target can further improve the searching with shorter searching time. We also set up a test in a real environment to verify the feasibility of our algorithm.
    Language English
    Publishing date 2020-12-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s20236919
    Database MEDical Literature Analysis and Retrieval System OnLINE

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