Article
Engineering, Environmental
Conghong Huang, Jianlin Hu, Tao Xue, Hao Xu, Meng Wang
Summary: The study established a hybrid spatiotemporal modeling framework for PM2.5 in China, incorporating various predictor variables and advanced machine learning methods, to accurately assess long-term and short-term PM2.5 concentrations nationally and at city scales. The model performed well with high spatial and temporal cross-validation R-squared values, and the downscaled predictions significantly improved the spatial variation of PM2.5 concentrations at the city scale. The framework and dataset generated in this study could be valuable for PM2.5 exposure assessment and epidemiological studies.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Environmental Sciences
Junhui Wu, Yaohua Tian, Yao Wu, Zijing Wang, Yiqun Wu, Tao Wu, Xueying Qin, Mengying Wang, Xiaowen Wang, Jiating Wang, Yonghua Hu
Summary: The study revealed a significant association between PM2.5 levels and outpatient visits for venous thromboembolism in Beijing, with a more pronounced relationship observed during the warm season. Adjusting for temperature at various time lags should be considered when investigating seasonal associations.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Nutrition & Dietetics
Thavin Kumar Mathana Sundram, Eugenie Sin Sing Tan, Hwee San Lim, Farahnaz Amini, Normina Ahmad Bustami, Pui Yee Tan, Navedur Rehman, Yu Bin Ho, Chung Keat Tan
Summary: This study examined the effects of PM2.5 exposure on dietary intake among working individuals. The findings revealed a significant association between outdoor workers' dietary intake and PM2.5 exposure, suggesting that prolonged exposure to PM2.5 may increase the risk of metabolic syndromes and other health conditions.
Article
Environmental Sciences
Hedi Katre Kriit, Bertil Forsberg, Daniel Oudin Astrom, Anna Oudin
Summary: This study estimated that approximately 5% of annual dementia cases in Sweden could be attributed to PM2.5 exposure, leading to a substantial monetary burden. These findings highlight the importance of considering airborne toxic pollutants associated with dementia incidence in public health policy decisions.
ENVIRONMENTAL HEALTH
(2021)
Article
Environmental Sciences
Zhebin Yu, Xinli Mao, Mengling Tang, Yi Chen, Mengyin Wu, Mingjuan Jin, Jianbing Wang, Lei Xu, Guoliang Ye, Jin Ding, Bin Ye, Dongya Chen, Yu Chen, Xia Chen, Xiancang Sheng, Hongzhang Li, Qiang Chen, Xiaosheng Teng, Qiulong Ding, Haideng Yang, Zhe Shen, Kun Chen, Chaohui Yu
Summary: Exposure to PM2.5 is positively associated with peptic ulcer diseases (PUDs), with a stronger effect observed for duodenal ulcers than gastric ulcers. This association remains significant even after adjusting for other air pollutants.
Article
Environmental Sciences
Abosede S. Alli, Sierra N. Clark, Allison Hughes, James Nimo, Josephine Bedford-Moses, Solomon Baah, Jiayuan Wang, Jose Vallarino, Ernest Agyemang, Benjamin Barratt, Andrew Beddows, Frank Kelly, George Owusu, Jill Baumgartner, Michael Brauer, Majid Ezzati, Samuel Agyei-Mensah, Raphael E. Arku
Summary: Sub-Saharan Africa is experiencing rapid urbanization, with air pollution emerging as a major concern in growing cities, especially in Accra, Ghana. The study found that commercial, business, and industrial areas have the highest levels of PM2.5 pollution, with concentrations 2-4 times higher than WHO guidelines. Additionally, PM2.5 levels peak during the dry dusty Harmattan period, and have decreased by 50% compared to measurements in 2006-2007. Effective policies are needed to reduce pollution levels and protect public health in urban areas.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Green & Sustainable Science & Technology
Gourav Suthar, Rajat Prakash Singhal, Sumit Khandelwal, Nivedita Kaul, Vinod Parmar, Abhay Pratap Singh
Summary: Air pollution is a major challenge in developing countries like India due to industrial growth and development. This study examines the spatiotemporal variation in air pollutant concentrations in Bengaluru and their relationship with meteorological parameters. The results show that PM2.5 and NO2 levels exceed national/international standards, and local sources are the main contributors to air pollution in the city. The study also highlights the significant role of meteorological parameters in air pollutant variations.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Engineering, Environmental
Susannah Ripley, Laura Minet, Jad Zalzal, Krystal Godri Pollitt, Dong Gao, Pascale S. J. Lakey, Manabu Shiraiwa, Barbara A. Maher, Marianne Hatzopoulou, Scott Weichenthal
Summary: This study conducted large-scale monitoring campaigns and developed models to predict spatial variations in PM2.5’s ability to generate reactive oxygen species, oxidative potential based on the depletion of antioxidants, and anhysteretic magnetic remanence as an indicator of magnetite nanoparticles in Montreal and Toronto. The results showed that areas with higher material deprivation in Montreal were exposed to PM2.5 with higher ROS and OP, while this relationship was not observed in Toronto. The developed models will be used in epidemiologic studies to assess the health effects of exposure to PM2.5 and iron-rich magnetic nanoparticles in both cities.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Environmental Sciences
Tin Thongthammachart, Hikari Shimadera, Shin Araki, Tomohito Matsuo, Akira Kondo
Summary: In this study, a land use regression model was developed using a non-linear machine learning algorithm to predict daily PM2.5 levels in central Thailand. The model exhibited high prediction accuracy and effectively showed the spatiotemporal distribution of PM2.5.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Lei Zhang, Jiaming Na, Jie Zhu, Zhikuan Shi, Changxin Zou, Lin Yang
Summary: Air pollution in Northeastern Asia, particularly in China, is a serious issue with high levels of PM2.5. Accurate PM2.5 prediction is crucial for environmental management and human health. The proposed ST-CausalConvNet model uses causal convolutions to prevent information leakage, showing better performance than other comparative models like ANN, GRU, and LSTM.
COMPUTERS & GEOSCIENCES
(2021)
Article
Green & Sustainable Science & Technology
Shan Xu, Bin Zou, Ying Xiong, Neng Wan, Huihui Feng, Chenxia Hu, Yan Lin
Summary: This study proposes a new method for spatial prediction of PM2.5 pollution based on the pollution scene assumption, and validates the potential effectiveness of this assumption through geographically weighted regression kriging. The research finds that PM2.5 concentration varies between urban microenvironments, and pollution scene-based GWRK is effective for high-resolution mapping.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Tin Thongthammachart, Shin Araki, Hikari Shimadera, Shinnosuke Eto, Tomohito Matsuo, Akira Kondo
Summary: The study developed a spatiotemporal land use regression model using random forests and CMAQ to estimate PM2.5 levels in Japan's Kansai region. Results showed that the model with CMAQ variables performed better than the model without CMAQ variables in predicting PM2.5 concentrations.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Meteorology & Atmospheric Sciences
Chenmeng Yang, Yunjie Wu, Leiming Zhang, Guangyi Sun, Heng Yao, Zhonggen Li, Xiangyang Bi, Qiang Huang, Xinbin Feng
Summary: This study analyzed the spatiotemporal distribution of ambient Sb-PM2.5 in Beijing and identified main sources. While government control efforts have led to decreases in industrial Sb emissions, local human activities still affect Sb-PM2.5 concentrations. Future emission control policies should consider the impact of waste incineration industry on Sb-PM2.5 pollution.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Environmental Sciences
Yuan-duo Zhu, Lin Fan, Jiao Wang, Wen-jing Yang, Li Li, Yu-jing Zhang, Yu-yan Yang, Xu Li, Xu Yan, Xiao-yuan Yao, Xian-liang Wang
Summary: This study investigated indoor particulate matter levels in twelve cities in China and found that both summer and winter concentrations exceeded limit values, with higher levels in winter. There were seasonal variations in different cities, with higher concentrations in cities with low GDP and smaller populations, while cities with higher GDP and larger populations had relatively lower concentrations.
ENVIRONMENTAL RESEARCH
(2021)
Article
Environmental Sciences
Abosede S. Alli, Sierra N. Clark, Jiayuan Wang, James Bennett, Allison F. Hughes, Majid Ezzati, Michael Brauer, James Nimo, Josephine Bedford-Moses, Solomon Baah, Alicia Cavanaugh, Samuel Agyei-Mensah, George Owusu, Jill Baumgartner, Raphael E. Arku
Summary: This study developed high resolution spatiotemporal land use regression models to map fine particulate matter and black carbon concentrations in the Greater Accra Metropolitan Area in West Africa. The results showed that the population in this area is exposed to PM2.5 levels above the World Health Organization guideline, with higher exposures in poorer neighborhoods. These models can be used to support air pollution mitigation policies and health and climate impact assessments, and can be adapted to other African cities to fill the air pollution data gap in the region.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Agronomy
Liang Zhang, Zhiyu Zhu, Fangfang Chen, Yueqing Zhu, Xiaocan Guo, Minjie Fu, Jiahong Chen, Jianguo Wu, Zhujun Zhu
Summary: In this study, distant hybridization between radish and kohlrabi was successfully achieved using tissue culture and chromosome doubling technology, resulting in the production of xBrassicoraphanus allotetraploids. The allotetraploid hybrids exhibited normal morphology and fertility, providing a basis for the production of new radish germplasm and serving as a bridge for gene transfer between Brassica and Raphanus vegetable species.
NEW ZEALAND JOURNAL OF CROP AND HORTICULTURAL SCIENCE
(2023)
Article
Statistics & Probability
Ruiyu Xu, Jianguo Wu, Xiaowei Yue, Yongxiang Li
Summary: This article proposes an online structural change-point detection method for high-dimensional streaming data through dynamic sparse subspace learning and an efficient Pruned Exact Linear Time algorithm. The effectiveness of the method is demonstrated through simulation studies and a real case study.
Article
Environmental Sciences
Guangmei Wu, Guitao Shi, Chuanjin Li, Ye Hu, Hongmei Ma, Zhenlou Chen
Summary: During the 2015-2016 Chinese Antarctic Research Expedition, a study was conducted on Particulate-bound mercury (PBM) in the boundary layer. The study found a significant latitudinal gradient in PBM, with higher levels over the Northern Hemisphere influenced by both continental and oceanic sources. Over the Southern Ocean, PBM levels were extremely low, while elevated PBM was observed across the Antarctic Ice Sheet, particularly at Dome A. The study also revealed the role of inland Antarctic snow in influencing atmospheric PBM concentrations over the Antarctic coastal seas.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Computer Science, Artificial Intelligence
Chi Zhang, Jian Cui, Jianguo Wu, Xi Zhang
Summary: A steel plate surface defect detection method is proposed in this study, utilizing contextual information and attention mechanism, as well as a multi-layer feature extraction method and fusion framework based on low-level statistical textures. Through pixel-level spatial and correlation relationship identification, characteristics of low-level defects are extracted. A novel quantization technique is developed to effectively incorporate statistical texture in Convolutional Neural Networks (CNN). The empirical results demonstrate the feasibility of the proposed approach in practical steel plate testing and ablation experiments show that it enhances surface defect detection for steel plates.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Polymer Science
Alejandro Gallegos, Jianzhong Wu
Summary: In this work, a hierarchical method that incorporates liquid-state theories with the site-binding model is proposed to quantify the charging behavior of weak polyelectrolytes over a broad range of solution conditions.
Article
Engineering, Civil
Guanghui Zhao, Dongqi Wang, Taihu Sun, Yan Ding, Shu Chen, Yizhe Li, Hechen Sun, Chenyang Wu, Zhongjie Yu, Zhenlou Chen
Summary: Urban rivers are significant hotspots for greenhouse gas (GHG) emissions. This study investigated the impact of different rainfall events on GHG emissions from Suzhou Creek in Shanghai. It was found that typhoon events significantly increased GHG emissions, with factors such as rainfall dilution, pump station drainage, sediment disturbance, and high gas transfer coefficient playing important roles. The study highlights the importance of understanding the dynamic response of urban river GHG emissions to rainfall and typhoons.
JOURNAL OF HYDROLOGY
(2023)
Article
Chemistry, Physical
Debadutta Prusty, Alejandro Gallegos, Jianzhong Wu
Summary: The interfacial behavior of associating species is crucial for both fundamental physics and industrial applications. This study investigates the adsorption behavior of a mixture of nanoparticles and polymer chains, representing asphaltene and resin molecules, onto an attractive surface. The results provide insights into the effects of various characteristics of these molecules on the adsorption amount and reveal the interplay between different driving forces.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Chemistry, Analytical
Yijing Wu, Wenjun Zheng, Canrong Chen, Linyan Yang, Ping Tong, Yanhui Zhong, Zian Lin, Zongwei Cai
Summary: In this study, a spherical covalent organic framework (COf) based on imine linkages was prepared and utilized as an adsorbent in dispersive solid-phase extraction. The dSPE-HPLC-MS/MS method based on the spherical COF demonstrated high efficiency and accuracy in the determination of aryl organophosphate esters in biological samples.
JOURNAL OF SEPARATION SCIENCE
(2023)
Article
Virology
Weijie Chen, Yukun Li, Xiuling Yu, Zhenwei Wang, Wenbiao Wang, Menglan Rao, Yongkui Li, Zhen Luo, Qiwei Zhang, Jinbiao Liu, Jianguo Wu
Summary: In this study, it was found that Zika virus infection upregulated 7-dehydrocholesterol reductase (DHCR7) expression, which in turn facilitated viral infection. The nonstructural protein NS4B of Zika virus interacted with DHCR7 to induce its expression, thereby inhibiting the immune response and facilitating viral evasion. This study expands our understanding of the mechanisms by which viral nonstructural proteins antagonize innate immunity during viral infection via cholesterol metabolic enzymes and intermediates.
Article
Automation & Control Systems
Zhiyong Hu, Chao Wang, Jianguo Wu, Dongping Du
Summary: The development of sensor technologies has allowed the acquisition of high dimensional sensing data, which has led to the development of multi-output modeling techniques for decision making. However, missing values in the data often result in information loss and affect the modeling performance. This study proposes a new multi-output modeling method based on GPLVM to exploit useful information in the data and improve modeling accuracy. The method demonstrates superior performance in both simulation and case studies, making it a powerful tool for process automation.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Review
Biochemistry & Molecular Biology
Hui Chen, Cheng Jin, Li Xie, Jian Wu
Summary: Succinate, an intermediate of the TCA cycle, is crucial in mitochondrial metabolism, energy production, and is also considered a signaling molecule in metabolism and hepatic diseases. Its downstream signaling pathway through GPR91 leads to various intracellular responses, including succinylation, ROS production, HIF-1 alpha stabilization, and significant impact in cellular metabolism due to its role in the TCA cycle. Understanding the signaling mechanisms of succinate in hepatic fibrosis, metabolic reprogramming, inflammatory or immune responses, and carcinogenesis is of great interest. This review aims to provide the current understanding of succinate in mediating metabolism, inflammatory and immune responses in liver diseases, with the aim of establishing a molecular basis for therapeutic strategies.
BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE
(2024)
Article
Medicine, Research & Experimental
Yuan Zhou, Li Zhang, Yue Ma, Li Xie, Yong-Yu Yang, Cheng Jin, Hui Chen, Ying Zhou, Guang-Qi Song, Jia Ding, Jian Wu
Summary: This study found that senescent hepatic stellate cells (HSCs) play a crucial role in the development of nonalcoholic steatohepatitis (NASH) and hepatocellular carcinoma (HCC). Senescent HSCs secrete proteins that activate morphogenic hedgehog or oncogenic Wnt signaling pathways, promoting the malignant transformation of steatotic or dysplastic hepatocytes.
Article
Mathematics, Applied
Marco Tosato, Xue Zhang, Jianhong Wu
Summary: We investigate the behavior of solutions to a scalar Delay Differential Equation (DDE) with periodic switching between two constant values. This equation naturally arises in structured vector populations involved in the spread of various vector-borne diseases in a periodically changing environment. We examine the influence of two different time lags and the switching time on the existence and patterns of periodic solutions, with a specific focus on multi-cycles within the prime period.
DIFFERENTIAL EQUATIONS AND DYNAMICAL SYSTEMS
(2023)