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A fine-grained evaluation of social vulnerability to COVID-19,healthcare access and built environmental disparities in Tokyo,Japan

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International Journal of Digital Earth 2022年第1期15卷 2006-2027页

作者： Siqin Wang Yukio Sadahiro Graduate School of Interdisciplinary Information Studies The University of TokyoTokyoJapan School of Earth and Environmental Sciences The University of QueenslandBrisbaneQLDAustralia

Measuring vulnerability to COVID-19 and healthcare accessibility at the fine-grained level serves as the foundation for spatially explicit health planning and policy making in response to future public health crises.However,the evaluation of vulnerability and healthcare accessibility is insufficient in Japan-a nation with high population density and super-aging challenges.Drawing on the 2022 census data,transport network,medical and digital cadastral data,land use maps,and points of interest data,our study extends the concept of vulnerability in the context of COVID-19 and constructs the first fine-grained measure of vulnerability and healthcare accessibility in Tokyo Metropolis,Japan-the most populated metropolitan region in the world.We delineate the vulnerable neighbourhoods with low healthcare access and further evaluate the disparity in healthcare access and built environment of areas at different levels of vulnerability.Our outcome datasets and findings provide nuanced and timely evidence to government and health authorities to have a holistic and latest understanding of social vulnerability to COVID-19 and healthcare access at a fine-grained level.Our analytical framework can be employed in different geographic contexts,guiding through place-based health planning and policy making in the post-COVID era and beyond.

关键词： COVID-19 vulnerability healthcare access built environment network analysis Tokyo metropolis

Dual-responsive supramolecular photodynamic nanomedicine with activatable immunomodulation for enhanced antitumor therapy

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Acta Pharmaceutica Sinica B 2024年第2期14卷 765-780页

作者： siqin He Lulu wang Dongxu Wu Fan Tong Huan Zhao Hanmei Li Tao Gong Huile Gao Yang Zhou Key Laboratory of Tropical Biological Resources of Ministry of Education School of Pharmaceutical SciencesHainan UniversityHaikou 570200China Key Laboratory of Drug-Targeting and Drug Delivery System West China School of PharmacySichuan UniversityChengdu 610041China Revvity Inc. WalthamMA 02451USA School of Food and Biological Engineering Chengdu UniversityChengdu 610106China

A major challenge facing photodynamic therapy(PDT) is that the activity of the immuneinduced infiltrating CD8^(+)T cells is subject to the regulatory T lymphocytes(Tregs), leaving the tumor at risk of recurrence and metastasis after the initial ablation. To augment the antitumor response and reprogram the immunosuppressive tumor microenvironment(TME), a supramolecular photodynamic nanoparticle(DACss) is constructed by the host-guest interaction between demethylcantharidin-conjugated β-cyclodextrin(DMC-CD) and amantadine-terminated disulfide-conjugated FFVLGGGC peptide with chlorin e6 decoration(Ad-ss-pep-Ce6) to achieve intelligent delivery of photosensitizer and immunomodulator for breast cancer treatment. The acid-labile β-carboxamide bond of DMC-CD is hydrolyzed in response to the acidic TME, resulting in the localized release of DMC and subsequent inhibition of Tregs.The guest molecule Ad-ss-pep-Ce6 can be cleaved by a high level of intracellular GSH, reducing photosensitizer toxicity and increasing photosensitizer retention in the tumor. With a significant increase in the CTL/Treg ratio, the combination of Ce6-based PDT and DMC-mediated immunomodulation adequately achieved spatiotemporal regulation and remodeling of the TME, as well as improved primary tumor and in situ lung metastasis suppression with the aid of PD-1 antibody.

关键词： Photodynamic therapy Immunosuppressive microenvironment Immunomodulator Dual-responsive Supramolecularassembly Checkpointblockade

A GIS-based analytical framework for evaluating the effect of COVID-19 on the restaurant industry with big data

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Big Earth Data 2023年第1期7卷 37-58页

作者： Siqin Wang Ruomei wang Xiao Huang Zhenlong Li Shuming Bao School of Earth and Environmental Sciences University of QueenslandBrisbaneQueenslandAustralia Graduate School of Interdisciplinary Information Studies University of TokyoTokyoJapan Department of Geosciences University of ArkansasAnn ArborMichiganUSA Geoinformation and Big Data Research Laboratory Department of GeographyUniversity of South CarolinaSouth CarolinaUSA China Data Institute MichiganUSA

COVID-19 cripples the restaurant industry as a crucial socioeconomic sector that contributes immensely to the global economy.However,what the current literature less explored is to quantify the effect of COVID-19 on restaurant visitation and revenue at different spatial scales,as well as its relationship with the neighborhood character-istics of customers’origins.Based on the Point of Interest(POI)measures derived from SafeGraph data providing mobility records of 45 million cell phone users in the US,our study takes Lower Manhattan,New York City,as the pilot study,and aims to examine 1)the change of restaurant visitations and revenue in the period prior to and after the COVID-19 outbreak,2)the areas where restaurant customers live,and 3)the association between the neighborhood characteristics of these areas and lost customers.By doing so,we provide a geographic information system-based analytical frame-work integrating the big data mining,web crawling techniques,and spatial-economic modelling.Our analytical framework can be implemented to estimate the broader effect of COVID-19 on other industries and can be augmented in a financially monitoring manner in response to future pandemics or public emergencies.

关键词： COVID-19 pandemic effect restaurant visitation human mobility New York City

Integrated risk assessment framework for transformation products of emerging contaminants:what we know and what we should know

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Frontiers of Environmental Science & Engineering 2023年第7期17卷 187-195页

作者： Shengqi Zhang Qian Yin Siqin Wang Xin Yu Mingbao Feng Key Laboratory of Ministry of Education for Coastal and Wetland Ecosystems College of the Environment&EcologyXiamen UniversityXiamen 361102China

The continuous input of various emerging contaminants(ECs)has inevitably introduced large amounts of transformation products(TPs)in natural and engineering water scenarios.Structurally similar to the precursor species,the TPs are expected to possess comparative,if not more serious,environmental properties and risks.This review summarizes the state-of-the-art knowledge regarding the integrated risk assessment frameworks of TPs of ECs,mainly involving the exposure-and effectdriven analysis.The inadequate information within existing frameworks that was essential and critical for developing a better risk assessment framework was discussed.The main strategic improvements include(1)non-targeted product analysis in both laboratory and field samples,(2)omics-based highthroughput toxicity assessment,(3)multichannel-driven mode of action in conjugation with effectdirected analysis,and(4)machine learning technology.Overall,this review provides a concise but comprehensive insight into the optimized strategy for evaluating the environmental risks and screening the key toxic products from the cocktail mixtures of ECs and their TPs in the global water cycle.This facilitates deciphering the mode of toxicity in complex chemical mixtures and prioritizing the regulated TPs among the unknown products,which have the potential to be considered a class of novel"ECs"ofgreatconcern.

关键词： Risk assessment frameworks Trans formation products Emerging contaminants High-throughput toxicity screening Water treatment

Highly dispersive tetrahedral vanadium species on pure silica ZSM-12 zeolite boosting the selective oxidation of cyclohexane into cyclohexanone

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Science China Chemistry 2024年第7期67卷 2206-2214页

作者： Menglin Xie Ting Li Chao Wu Xiaoling Liu Jinling Ni siqin Yao Yu Zhou Shibo Xi Jun wang State Key Laboratory of Materials-Oriented Chemical Engineering College of Chemical EngineeringNanjing Tech University Institute of Sustainability for Chemicals Energy and Environment(ISCE~2)Agency for ScienceTechnology and Research(A~*STAR) College of Materials Science and Engineering Sichuan University

The selective oxidation of cyclohexane is a promising green route for the production of KA oil(cyclohexanol and cyclohexanone),but remains a huge challenge to design high-performing heterogeneous catalysts under mild conditions.Herein,a pure silica ZSM-12(MTW topology) zeolite was applied as the support to immobilize highly dispersive tetrahedrally coordinated vanadium(V) species and the constructed catalyst 1%V/SZ-12 exhibited high efficiency in the fast and selective oxidation of cyclohexane into cyclohexanone with H2O2.The reaction completed within 30 s,affording the selectivity of 99% towards cyclohexanone and the extremely high turnover frequency(TOF) of 5,891 h-1.1%V/SZ-12 was facilely reused with stable activity and feasibly extended to the oxidation of various cyclohexane derivatives.The one-dimensional 12-membered ring microchannels contributed to the formation and accessibility of tetrahedrally coordinated high valent V5+species as the robust active centers,which activated H2O2to generate V–O–O·,the active oxygen species for the electrophilic attack on cyclohexane to produce cyclohexanone as the sole product.

关键词： zeolite metal doping cyclohexane oxidation heterogeneous catalysis

Torque effect on vibration behavior of high-speed train gearbox under internal and external excitations

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Railway Engineering Science 2024年第2期32卷 229-243页

作者： Yue Zhou Xi wang Hongbo Que Rubing Guo Xinhai Lin siqin Jin Chengpan Wu Yu Hou School of Mechanical Electronic and Control EngineeringBeijing Jiaotong UniversityBeijing 100044China CRRC Qishuyan Institute Co. Ltd.No.258Wuyi RoadQishuyanChangzhou 213011China Frontiers Science Center for Smart High-Speed Railway System Beijing Jiaotong UniversityBeijing 100044China

The high-speed train transmission system,experiencing both the internal excitation originating from gear meshing and the external excitation originating from the wheel-rail interaction,exhibits complex dynamic behavior in the actual service environment.This paper focuses on the gearbox in the high-speed train to carry out the bench test,in which various operat-ing conditions(torques and rotation speeds)were set up and the excitation condition covering both internal and external was created.Acceleration responses on multiple positions of the gearbox were acquired in the test and the vibration behavior of the gearbox was studied.Meanwhile,a stochastic excitation modal test was also carried out on the test bench under different torques,and the modal parameter of the gearbox was identified.Finally,the sweep frequency response of the gearbox under gear meshing excitation was analyzed through dynamic modeling.The results showed that the torque has an attenuating effect on the amplitude of gear meshing frequency on the gearbox,and the effect of external excitation on the gearbox vibration cannot be ignored,especially under the rated operating condition.It was also found that the torque affects the modal param-eter of the gearbox significantly.The torque has a great effect on both the gear meshing stiffness and the bearing stiffness in the transmission system,which is the inherent reason for the changed modal characteristics observed in the modal test and affects the vibration behavior of the gearbox consequently.

关键词： High-speed train Gearbox Bench test Vibration behavior Modal identification

How does heterogeneity in dwelling type preferences relate to housing and built environment characteristics?

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International Journal of Digital Earth 2023年第1期16卷 93-112页

作者： Yuanyuan Huang Scott N.Lieske Siqin Wang Yan Liu School of Earth and Environmental Sciences The University of QueenslandBrisbaneAustralia Graduate School of Interdisciplinary Information Studies The University of TokyoTokyoJapan

Understanding housing preferences is critical for successful compact city development.However,there is limited research on understanding preference heterogeneity in dwelling type choices.Using the Household Income and Labour Dynamics in Australia survey,this paper identifies the key housing and built environment characteristics associated with changes in dwelling type choice from detached houses to high-density.A latent class choice model captures the heterogeneity of dwelling type preferences within a traditionally low-density city,Brisbane,Australia.Findings reveal six household classes with distinct dwelling preferences:Class 1(senior households without children with other family members)and Class 2(couple families with children)in inner-city areas,Class 3(high-income young households)and Class 4(low-income households without children)in middle-city areas,Class 5(low-income families with children)and Class 6(middle-income young families without children)in outer-city areas.Residential environments with better access to educational facilities encourage Classes 3 and 6 to change to high-density living.Greater land use diversity encourages Classes 2,3,and 6 to move towards high-density living.Thefindings can be used to design and improve high-density housing for targeted population groups across inner-,middle-and outer-city areas.

关键词： Dwelling type middle housing medium-to high-rise residential latent class choice preference heterogeneity

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矽肺合并非结核分枝杆菌肺病1例

中华劳动卫生职业病杂志 2024年第3期42卷 210-212页

作者：胡晓亮王思琴青岛大学附属威海市立第二医院职业病科威海264200

非结核分枝杆菌(NTM)是指除了结核分枝杆菌和麻风分枝杆菌以外的其他分枝杆菌, 是一种条件致病菌。NTM肺病与肺结核从临床表现到影像学表现都非常相似, 普通痰检无法准确区分结核分枝杆菌和NTM, 需要通过分枝杆菌培养基培养、高效液相... 详细信息

非结核分枝杆菌(NTM)是指除了结核分枝杆菌和麻风分枝杆菌以外的其他分枝杆菌, 是一种条件致病菌。NTM肺病与肺结核从临床表现到影像学表现都非常相似, 普通痰检无法准确区分结核分枝杆菌和NTM, 需要通过分枝杆菌培养基培养、高效液相色谱法、分子生物学等检测方法对其进行鉴别。1例清砂打磨工在行职业性尘肺病诊断过程中肺部CT示右肺浸润影动态改变并出现空洞, 痰药敏试验示NTM感染, 患者拒绝治疗;20个月后复查肺部CT示肺内浸润影及空洞均进一步增大, 行NTM菌种鉴定示胞内分枝杆菌感染, 给予阿米卡星、莫西沙星、阿奇霉素及乙胺丁醇联合抗菌治疗, 目前尚在治疗中。

关键词：矽肺非结核分枝杆菌非结核分枝杆菌肺病

To move or stay?A cellular automata model to predict urban growth in coastal regions amidst rising sea levels

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International Journal of Digital Earth 2021年第9期14卷 1213-1235页

作者： Siqin Wang Yan Liu Yongjiu Feng Zhenkun Lei School of Earth and Environmental Sciences The University of QueenslandSt LuciaAustralia Spatio-Temporal Analytics Research Laboratory(STAR Lab) The University of QueenslandSt LuciaAustralia College of Surveying and Geo-Informatics Tongji UniversityShanghaiPeople’s Republic of China College of Marine Sciences Shanghai Ocean UniversityShanghaiPeople’s Republic of China

Low-lying coastal cities are widely acknowledged as the most densely populated places of urban settlement;they are also more vulnerable to risks resulting from intensive land use and land cover change,human activities,global climate change,and the rising sea levels.This study aims to predict how urban growth is affected by sea level rise(SLR)in the Australian context.We develop an urban cellular automata model incorporating urban planning policies as potential drivers or constraints of urban growth under different SLR scenarios and adaption strategies.Drawing on data capturing the socioeconomic and environmental factors in South East Queensland,Australia,our model is positioned to address one core research question:how does SLR affect future urban growth and human resettlement?Results show that urban growth in coastal regions varies depending on the extent to which the sea level rises and is affected by a combination of factors relating to urban planning and human adaptation strategies.Our study demonstrates the complexity of urban growth in coastal regions and the nuanced outcomes under different adaptation strategies in the context of rising sea levels.

关键词： Climate change Cellular automata Sea level rise Urban growth Human settlement