Article
Energy & Fuels
Yong Wei, Guijian Liu, Biao Fu, Yuan Liu, Xuan Xue
Summary: The research found that cadmium is enriched in fly ash in fine particulate matter, with its enrichment index increasing as particle size decreases. Abundant titanium-rich particles were identified in PM1, which had different chemical compositions compared to particles larger than 2.5 μm.
Article
Polymer Science
Eunji Chae, Sung-Seen Choi
Summary: This study collected particulate matters PM10 and PM2.5 at a bus stop and analyzed them to identify organic polymeric materials present. The major sources of these materials were found to be the abrasion of tire tread and asphalt pavement, plant-related components, and lint from polyester fabric.
Article
Environmental Sciences
Abdul Rehman, Guijian Liu, Balal Yousaf, Samra Ijaz, Samina Irshad, Ayesha Imtiyaz Cheema, Muhammad Umair Riaz, Aniqa Ashraf
Summary: The study investigates the spectroscopic fingerprinting, pollution status, and health risk of PM-associated PTMs in Lahore, Pakistan. The results show distinct compositional and pollution characteristics of PTMs in urban PM across different functional areas. Different chemical species of Zn, Pb, and As were found in PM from various functional areas. The cumulative representation of PTMs pollution indicates that Cd is heavily polluted while Cr and Ni are moderately polluted PTMs. The industrial area has the highest pollution status for several PTMs including Cd, Cu, Cr, Ni, and Zn. PTMs pose a high non-cancerous risk in certain areas, mainly due to Zn, while Cr poses a cancerous risk beyond the tolerable range.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Minkang Zhi, Xi Zhang, Kai Zhang, Simon J. Ussher, Wenli Lv, Jie Li, Jian Gao, Yuqian Luo, Fan Meng
Summary: The pollution characteristics of size-segregated particles and metal elements in the atmosphere in 2016 were investigated following the release of the Chinese Air Pollution Prevention Action Plan in 2013. It was found that the composition of coarse particles is as important as that of fine particles when comparing pollution levels in 2016 to 2013. Additionally, the size distributions of particle mass concentrations were bimodal, with an increase in fine particle proportion as pollution levels elevated.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2021)
Article
Environmental Sciences
Yingze Tian, Roy M. Harrison, Yinchang Feng, Zongbo Shi, Yongli Liang, Yixuan Li, Qianqian Xue, Jingsha Xu
Summary: This study conducted size-resolved analysis of particulate matter sources in a megacity in northern China, revealing the contributions of different sources to particles of various sizes.
ENVIRONMENTAL POLLUTION
(2021)
Article
Environmental Sciences
Siqi Ye, Dengpan Zhang, Bo Chen, Jieping Xu, Changkai Jia, Deqing Mei, Yinnan Yuan
Summary: The effect of microstructure of biodiesel combustion particulate matter (PM) on the extinction characteristics was investigated. The results show that combustion of biodiesel can significantly reduce PM emissions. Biodiesel PM has smaller particle size and higher aggregation degree compared to diesel PM, resulting in weaker light absorption capacity. The quantity concentration of biodiesel PM decreases and the fractal dimension increases with decreasing iodine number of biodiesel, leading to the formation of more complex agglomerates and a consequent reduction in extinction coefficient.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Amit Chanchpara, Monali Muduli, Vinay Prabhakar, Anil Kumar Madhava, Ravikumar Bhagwan Thorat, Soumya Haldar, Sanak Ray
Summary: Diwali has led to air and noise pollution, with particulate matter and toxic gases exceeding the national air quality standards. A study conducted during Diwali 2021 revealed significantly higher concentrations of pollutants and the presence of metals and oxides in the air.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Environmental Sciences
Xiaoliang Zhao, Yunbin Liu, Fangwei Han, Bilal Touseef, Yangxia Yue, Jing Guo
Summary: The main components of PM2.5 in the soot of coal-fired power plants in Fuxin are SO42-, Ca2+, and organic carbon. The element components range from 5.06% to 10.97%, the ionic components range from 36.53% to 48.59%, and the total carbon content ranges from 9.43% to 11.36%. The source profile of PM2.5 in Fuxin coal burning smoke is mostly similar to Fushun, but not similar to Colorado.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Carlos Alexandre Borges Garcia, Adnivia Santos Costa Monteiro, Silvanio Silverio Lopes da Costa, Maria de Lara Palmeira de Macedo Arguelho, Rennan Geovanny Oliveira Araujo, Maria Eulalia Rocha Carneiro, Jose do Patrocinio Hora Alves
Summary: Geochemical analyses were conducted to determine the origin and main factors affecting the distribution of metal traces in surface sediments from the continental slope of Sergipe in Brazil. Samples were collected during dry and rainy periods at 36 points ranging from 400 to 3000 meters depth. The results showed no significant differences in metal concentrations between seasons or depths, with continental origin and authigenic deposition being the predominant factors.
MARINE POLLUTION BULLETIN
(2023)
Article
Engineering, Environmental
Xiangjing Meng, Yanhua Wang, Ting Wang, Bo Jiao, Hua Shao, Qiang Jia, Huawei Duan
Summary: Compared with animal studies, there is limited research on the impairments of T-cell response and exposure-response from particulate matter (PM) and its components in the human population. This study found that PM and its bound polycyclic aromatic hydrocarbons (PAHs) and metals can induce immune impairments by altering T lymphocytes and genes of T-bet and GATA3. Additionally, CD4+ T lymphocytes were found to mediate the associations of PM2.5 with T-bet expression.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Environmental Sciences
Hao Lin, Qingcai Chen, Mamin Wang, Tian Chang
Summary: This study examined the oxidative toxicity of different components of PM2.5, finding that water-soluble components and metal ions were the main contributors to oxidation activity, while non-extractable and water-insoluble components exhibited higher oxidation activity. The research suggests that future attention should be focused on the oxidative toxicity of non-extractable components and that single PM components should not be studied independently.
ENVIRONMENTAL RESEARCH
(2022)
Article
Engineering, Environmental
Magdalena Mikrut, Olga Mazuryk, Wojciech Macyk, Rudi van Eldik, Grazyna Stochel
Summary: Polluted air in Krakow, Poland contains high levels of particulate matter (PM), leading to negative health effects such as respiratory infections and cardiovascular disorders. Redox active transition metals in PM can generate reactive oxygen species (ROS) and induce oxidative stress, affecting DNA and other biomolecules. Studies show that cold plasma treatment can remove organic matter from PM samples, revealing inorganic compounds and increasing the production of singlet oxygen.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2021)
Article
Geosciences, Multidisciplinary
Jun Shi, Yan-Rong Zou, Yu-Lan Cai, Zhao-Wen Zhan, Jia-Nan Sun, Tian Liang, Ping'an Peng
Summary: The lacustrine black shales of the Chang 7 member in the Ordos Basin of North China are the main source of unconventional petroleum resources. Influenced by volcanic and hydrothermal activity, the Chang 7 member had high productivity and redox conditions, with organic matter enrichment controlled by paleoproductivity and preservation environment. Principal component analysis (PCA) was used to analyze geochemical data, showing that it is effective for understanding geological samples comprehensively.
MARINE AND PETROLEUM GEOLOGY
(2022)
Article
Environmental Sciences
Pi Guo, Haisheng Wu, Yuliang Chen, Jiayun Lv, Tongxing Shi, Pengda Liu, Yan Wu, Hongwei Zhou, Hongfeng Zhang, Miao Liu, Murui Zheng, Wenru Feng
Summary: The chemical components of PM2.5 have complex effects on emergency department visits in Guangzhou, China, with interactions playing a significant role. It is crucial to implement comprehensive measures to reduce the hazards of toxic chemical components in PM2.5.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Takehiro Michikawa, Shin Yamazaki, Kayo Ueda, Ayako Yoshino, Seiji Sugata, Shinji Saito, Junya Hoshi, Hiroshi Nitta, Akinori Takami
Summary: The study investigated the association between PM2.5 components and mortality in 23 Tokyo wards, finding that specific components of PM2.5 play a significant role in its adverse health effects.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Engineering, Environmental
Zhixiong Li, Sheyda Shakiba, Ning Deng, Jiawei Chen, Stacey M. Louie, Yandi Hu
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2020)
Article
Computer Science, Artificial Intelligence
Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2020)
Article
Engineering, Environmental
Ning Deng, Zhixiong Li, Xiaobing Zuo, Jiawei Chen, Sheyda Shakiba, Stacey M. Louie, William G. Rixey, Yandi Hu
Summary: The study found that different types of organic matter have varying impacts on the sequestration of chromium in Fe/Cr-OM ternary systems and the stability of coprecipitates. Some organic matter exhibits strong complexation capabilities with Fe/Cr ions and Fe/Cr hydroxide particles, leading to structural disorder and fast aggregation of the coprecipitates.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyungsang Kim, Younggon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li
Summary: Deep learning-based image analysis methods have been valuable during the COVID-19 pandemic. Developing a CXR image retrieval model based on deep metric learning can provide clinically meaningful information and support clinical decisions effectively.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Neurosciences
Peiting You, Xiang Li, Zhijiang Wang, Huali Wang, Bin Dong, Quanzheng Li
Summary: This study investigates the relationship between brain iron deposition measured by SWI and the progression of AD, evaluating the model on a dataset of AD patients, mild cognitive impairment patients, and normal controls. The identified regions related to AD progression overlap with previous genetic studies, and a new potential AD-related gene (MEF2C) has been identified in relation to iron deposition and AD progression in the brain.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Biochemistry & Molecular Biology
Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C. K. Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo Cesar de Antonio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C. Crane, Jesse Tetreault, Jiahui Guan, John W. Garrett, Joshua D. Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mario Cruz E. Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Diez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus Ribeiro Furtado de Mendonca, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L. McLeod, Sheridan Reed, Stefan Graf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores, Quanzheng Li
Summary: Federated learning, a method for training artificial intelligence algorithms while protecting data privacy, was used to predict future oxygen requirements of symptomatic patients with COVID-19 using data from 20 different institutes globally. The study showed improved predictive accuracy and generalizability, setting the stage for wider applications in healthcare.
Article
Computer Science, Information Systems
Wufeng Xue, Jiahui Li, Zhiqiang Hu, Eric Kerfoot, James Clough, Ilkay Oksuz, Hao Xu, Vicente Grau, Fumin Guo, Matthew Ng, Xiang Li, Quanzheng Li, Lihong Liu, Jin Ma, Elias Grinias, Georgios Tziritas, Wenjun Yan, Angelica Atehortua, Mireille Garreau, Yeonggul Jang, Alejandro Debus, Enzo Ferrante, Guanyu Yang, Tiancong Hua, Shuo Li
Summary: This paper evaluated and compared different methods for automatic quantification of the left ventricle from cardiac magnetic resonance images. Results showed that both segmentation-based and direct regression methods can offer good LV quantification performance, with direct regression methods showing potential despite not requiring labeled masks for supervision.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2021)
Article
Engineering, Environmental
Ning Deng, Xiaobing Zuo, Andrew G. Stack, Sang Soo Lee, Zehao Zhou, Juliane Weber, Yandi Hu
Summary: The coprecipitation of selenium with barite is influenced by ion-mineral interactions, solubility, and interfacial energy. In homogeneous precipitation, about 10% of sulfate ions are replaced by selenium oxyanions due to adsorption-induced entrapment. In heterogeneous precipitation, organic films enhance the sequestration of selenium oxyanions, while only small amounts of selenium oxyanions are detected.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Engineering, Environmental
Suona Zhang, Liang Cheng, Xiaobing Zuo, Dawei Cai, Ke Tong, Yandi Hu, Jinren Ni
Summary: The simultaneous precipitation of (Fe, Cr)(OH)3 nanoparticles in both homogeneous and heterogeneous phases was quantified using various characterization techniques. The interactions between the ions and surfaces, as well as the controlling mechanisms, were explored. The findings provide important insights into the sequestration of Cr in natural and engineered settings.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Proceedings Paper
Acoustics
Jerome Charton, Hui Ren, Jay Khambhati, Jeena DeFrancesco, Justin Cheng, Anam A. Waheed, Sylwia Marciniak, Filipe Moura, Rhanderson Cardoso, Bruno B. Lima, Erik Steen, Eigil Samset, Michael H. Picard, Xiang Li, Quanzheng Li
Summary: This study developed a general framework for view classification of Doppler echocardiography using deep learning techniques. By automatically aligning CDI and B-mode videos, it achieved analysis and diagnosis of heart images.
SIMPLIFYING MEDICAL ULTRASOUND, ASMUS 2022
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li
2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
(2020)
Article
Neurosciences
Peng Wang, Xi Jiang, Hanbo Chen, Shu Zhang, Xiang Li, Qingjiu Cao, Li Sun, Lu Liu, Binrang Yang, Yufeng Wang
FRONTIERS IN HUMAN NEUROSCIENCE
(2020)
Article
Computer Science, Information Systems
Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2020)
Proceedings Paper
Engineering, Biomedical
Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li
2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020)
(2020)
Article
Computer Science, Information Systems
Seongah Jeong, Xiang Li, Jiarui Yang, Quanzheng Li, Vahid Tarokh