Article
Engineering, Mechanical
Zhou Li, Y. C. Lin, Lu Zhang, Jinhu Zheng, Jingwei Zhao, Rui Wang, Zhengyi Jiang
Summary: This study investigated the tensile properties, microstructural evolution, and deformation behaviors of a new explosive welded TA1/5083 composite sheet, revealing the formation of a wavy transition zone, predominant occurrence of slip bands on the 5083 side, and significant increase in dislocation density in the 5083 layer.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Computer Science, Information Systems
Xiaolong Liu, Yang Yu, Xiaolong Li, Yao Zhao, Guodong Guo
Summary: This article presents a novel deepfake detection method that extracts depth information, foreground-background information, and local-global information, and utilizes attention-based fusion to achieve efficient detection of deepfakes.
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
(2023)
Article
Geochemistry & Geophysics
Xipeng Cui, Hongqi Shao, Kailei Zhao
Summary: The purpose of this study is to explore the development depth of rock layer rupture and analyze the developmental regularity of mining floor in Dongsi mining area of Xinzhi Coal Mine. Two kinds of pressure water testing methods and numerical simulation are used to study the failure characteristics of the bottom plate of the working face in Dongsi mining area of Xinxian Coal Mine. The results show that the failure of working face bottom plate starts from a certain range in front of the working face. With the advance of working face, the failure depth of mining bottom plate increases continuously. At the same time, the failure range of mining roadway is slightly larger than the failure range of working face bottom plate due to the double disturbance of tunneling and mining. The pressure water test shows that the rupture depth occurs at 8.98-9.03 m. The numerical simulation results of floor failure depth show that its depth is about 8.7 m, which is basically consistent with the pressure water test. It provides a reference for the advanced preexploration of mining bottom plate failure in similar coal seam.
Article
Geochemistry & Geophysics
Guoqiang Guo, Zhimin Wang, Shaobo Qu, Hao Li, Yang Zhou, Hanjiang Lyu, Yuan He
Summary: This paper presents numerical simulation and in-situ testing methods to determine the failure range of mining floors in super-thick coal seams. The results show that these methods are suitable for predicting the failure depth and lay a foundation for protecting water sources and realizing green coal mining.
Article
Chemistry, Physical
Zihe Li, Yujia Wang, Mengdong Ma, Huachun Ma, Wentao Hu, Xiang Zhang, Zewen Zhuge, Shuangshuang Zhang, Kun Luo, Yufei Gao, Lei Sun, Alexander V. Soldatov, Yingju Wu, Bing Liu, Baozhong Li, Pan Ying, Yang Zhang, Bo Xu, Julong He, Dongli Yu, Zhongyuan Liu, Zhisheng Zhao, Yuanzheng Yue, Yongjun Tian, Xiaoyan Li
Summary: By controlling the transformation of amorphous carbon into diamond, researchers synthesized an in-situ composite consisting of ultrafine nanodiamond uniformly dispersed in disordered multilayer graphene with incoherent interfaces. This composite exhibits high hardness, high strength, and high electrical conductivity, surpassing traditional ceramics and C/C composites in comprehensive properties.
Article
Thermodynamics
Wei Song, Ziteng Li, Yue Jin, Bo Zhang, Tuanfeng Zheng
Summary: This study investigated the heat exchange efficiency of a single U-tube BHE using hydrogeological surveys and correlated TRTs. The results confirmed the initial temperature and thermal conductivity of the rock-soil, as well as the existence of confined and phreatic aquifers in the test area. Groundwater velocity was determined to be approximately 2-2.5 m/day, highlighting the importance of combining TRTs with groundwater surveys for improved test accuracy and guidance in engineering practices.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Nanoscience & Nanotechnology
Bo Li, Deng Pan, Xin Zhang, Lei Liu, Lina Gao, Shaolong Li, Yuanbin Qin, Yabo Fu, Shufeng Li
Summary: This paper investigates the role of nano-TiB whiskers in the micromechanical behaviors of two common titanium composite particles (TCPs). The experimental results reveal that when the particle size decreases, the flow stress and contact yield stress of the TCPs exceed the yield strength of bulk composite pillars. The study also demonstrates a remarkable pinning capacity induced by the nano-TiBw network.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Chemistry, Multidisciplinary
Dimitrios Georgouvelas, Hani Nasser Abdelhamid, Ulrica Edlund, Aji P. Mathew
Summary: In this study, nanocellulose/alginate composite hydrogel beads were successfully prepared and modified with in situ TEMPO-mediated oxidation. The modified beads exhibited improved adsorption efficiency and water flux, making them promising candidates for large-volume, high flux water treatment.
NANOSCALE ADVANCES
(2023)
Article
Construction & Building Technology
YingHua He, GuoQiang Li, JingZhou Zhang, BinHui Jiang, Jing Zhang
Summary: The determination of CCD is crucial for calculating the final collapse resistance of frame structures due to a column loss. This paper extends previous work by studying the CCD of a 3D steel frame structure with the effects of a concrete floor slab. The Bai-Wierzbicki model is used to consider the fracture of steel, and the effects of beam span, beam height, slab thickness, and slab aspect ratio on the CCD of the 3D steel frame are studied.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
(2023)
Article
Multidisciplinary Sciences
Tomohiro Ohuchi, Yuji Higo, Yoshinori Tange, Takeshi Sakai, Kohei Matsuda, Tetsuo Irifune
Summary: The occurrence of deep-focus earthquakes, which has been puzzling due to the unlikelihood of conventional brittle failure at high pressures, is increasingly believed to be caused by pressure-induced phase transitions of olivine. This study conducted deformation experiments on mantle olivine and found that fault sliding occurs at limited temperatures, accompanied by intense acoustic emissions. The study suggests that transformational faulting on the isothermal surface of metastable olivine wedges in slabs leads to deep-focus earthquakes in limited regions and depths.
NATURE COMMUNICATIONS
(2022)
Article
Engineering, Manufacturing
Iurii Vozniak, Fahmi Zairi, Ramin Hosseinnezhad, Jerzy Morawiec, Andrzej Galeski
Summary: By combining ready-made and in situ generated nanofibers, a polymer-polymer nanocomposite with interpenetrating fiber network was manufactured, resulting in enhanced mechanical properties.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
(2021)
Article
Chemistry, Physical
Hoyeon Lee, Hyunbum Park
Summary: This work focused on the structural design and manufacturing of a sandwich composite floor for automobiles, investigating its strength and load capacities through tensile and compression tests. Finite element analysis was used to confirm structural safety and the designed floor was deemed safe for production and testing.
Article
Engineering, Geological
Qiyi Lai, Jianjun Zhao, Bin Shi, Haofang Liu, Lan Ji, Qingmiao Li, Runqiu Huang
Summary: In recent years, landslides induced by underground mining have become a major concern due to the difficulty in detecting early warning signals. This study focuses on the initiation mechanism and evolution process of a specific mining landslide, the Madaling landslide. Centrifuge model tests and a 3D discrete element model were used to explore the soft-hard interlayer structure of the slope. The results revealed that the evolution of the Madaling landslide can be divided into four stages, with the formation of shear cracks and the connection of these cracks leading to the initiation of landslides. The displacement-time curve of mining landslides can be divided into settlement stage, rock mass crack development stage, and landslide evolution stage. The horizontal and vertical displacement of the deep rock mass can serve as an early warning criterion for mining landslides.
Article
Materials Science, Multidisciplinary
Shilin Zhao, Haiming Zhang, Zhenshan Cui, Dong Chen, Zhe Chen
Summary: In this study, a severe plastic deformation method, E-TE, was used to achieve superplasticity in an in-situ TiB2/Al-Zn-Mg-Cu composite by optimizing the microstructure. Tensile tests revealed that the composite showed excellent superplastic behavior at specific temperatures and strain rates, achieving elongations up to 420%. The deformation and failure mechanisms of the composite varied with temperature, with different mechanisms observed at different temperature ranges.
MATERIALS CHARACTERIZATION
(2021)
Article
Engineering, Mechanical
Ke Liu, Yazhi Li, Min-ge Duan, Teng Zhang, Chen Li, Biao Li
Summary: Experimental studies showed that the addition of in-situ particles enhances the fatigue resistance of the composite material. A fatigue life prediction method based on a damage-coupled elastic-plastic constitutive model was developed, which achieved satisfactory accuracy in fatigue life predictions.
INTERNATIONAL JOURNAL OF FATIGUE
(2021)
Article
Environmental Sciences
Qian Liu, Jackson T. Harris, Long S. Chiu, Donglian Sun, Paul R. Houser, Manzhu Yu, Daniel Q. Duffy, Michael M. Little, Chaowei Yang
Summary: Various recent studies have highlighted the significant impact of societal efforts to combat the outbreak of COVID-19 on air quality. This paper specifically examines the spatiotemporal patterns and changes in air pollution in California before, during, and after the lockdown period, finding significant reductions in NO2, CO, and PM2.5 concentrations during the lockdown compared to historical averages. The study provides evidence of the environmental impact of COVID-19 and its implications for economic influences.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Yun Li, Moming Li, Megan Rice, Haoyuan Zhang, Dexuan Sha, Mei Li, Yanfang Su, Chaowei Yang
Summary: The study reveals that stay-at-home orders, workplace closures, and public information campaigns are effective in reducing the growth rate of COVID-19 cases, while international/national travel controls have limited effects on death case growth rate.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Environmental Sciences
Yun Li, Moming Li, Megan Rice, Yanfang Su, Chaowei Yang
Summary: After a year of suffering from the COVID-19 pandemic, the US and the rest of the world have started phased implementation of COVID-19 vaccination to reduce the case growth rate. The study shows that vaccination was effective in lowering the spread of COVID-19, providing important insights for policymakers and the public.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Environmental Sciences
Yun Li, Megan Rice, Moming Li, Chengan Du, Xin Xin, Zifu Wang, Xun Shi, Chaowei Yang
Summary: Previous research has highlighted the various factors influencing the spread of COVID-19, focusing on the relationship between measurable factors and the infection rate or death rate. This study introduces new metrics, such as SDIR and AIR, to adjust for unobservable heterogeneity and assess a state's performance. The analysis shows that trends in these metrics can provide insights into different aspects of a state's response to the pandemic.
Article
Computer Science, Interdisciplinary Applications
Jingchao Yang, Manzhu Yu, Qian Liu, Yun Li, Daniel Q. Duffy, Chaowei Yang
Summary: Accurate weather prediction, especially temperature prediction, is crucial for decision-making in energy consumption, health risks, and economics. This study proposes a framework that integrates data fusion technique and LSTM network to predict surface temperature for four major U.S. cities with high accuracy. Transfer learning is utilized to improve predictive performance in regions with limited data availability.
COMPUTERS & GEOSCIENCES
(2022)
Article
Geochemistry & Geophysics
Qian Liu, Hui Xu, Dexuan Sha, Tsengdar Lee, Daniel Q. Duffy, Jeff Walter, Chaowei Yang
Summary: A new cloud detection model based on deep neural network technique is developed for satellite hyperspectral infrared sounders to detect cloud contaminated field of views. The model is trained using truth cloud information from another instrument and the spectra are transformed to principal components for better regression and convergence. The proposed model shows a high accuracy globally and performs slightly better over daytime and in ocean areas.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Environmental Sciences
Dexuan Sha, Younghyun Koo, Xin Miao, Anusha Srirenganathan, Hai Lan, Shorojit Biswas, Qian Liu, Alberto M. Mestas-Nunez, Hongjie Xie, Chaowei Yang
Summary: The study found that stresses from the ocean and atmosphere create cracks and leads in sea ice. By analyzing high spatial resolution aerial images, the research identified temperature and ice motion vorticity as the main factors influencing the formation of sea ice leads.
Article
Environmental Sciences
Qian Liu, Long S. Chiu, Xianjun Hao, Chaowei Yang
Summary: The study found significant decreasing and increasing trends in the global mean rainfall frequency and conditional rainfall rate, while the rainfall rate only showed a minor trend. Despite no significant trend in total precipitation amount, the frequency of rainfall events has decreased, and the average intensity of a single event has increased.
Article
Computer Science, Information Systems
Anusha Srirenganathan Malarvizhi, Qian Liu, Dexuan Sha, Hai Lan, Chaowei Yang
Summary: Previous studies have shown that open-source technologies help democratize information and foster collaborations to address global challenges. The outbreak of the novel coronavirus has brought unprecedented challenges to society, but open-source technologies provide a new hope for collaborative pandemic response. Open source is not just about sharing source code—it can be used as a software development approach that encourages collaboration. Open collaboration has a positive impact on society and helps combat the pandemic effectively.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Environmental Sciences
Yun Li, Ruixin Yang, Hui Su, Chaowei Yang
Summary: Tropical cyclones are considered one of the most dangerous natural disasters, posing threats to human life, health, and economy. However, predicting their intensity, especially rapid intensification, remains a scientific challenge. This study proposes an automatic knowledge discovery framework to identify potential spatiotemporal precursors to tropical cyclone rapid intensification from environmental fields. The framework shows comparable or better capability for estimating the probability of rapid intensification compared to traditional predictors.
Article
Immunology
Zifu Wang, Yudi Chen, Yun Li, Devika Kakkar, Wendy Guan, Wenying Ji, Jacob Cain, Hai Lan, Dexuan Sha, Qian Liu, Chaowei Yang
Summary: This research investigates public opinions towards vaccines in the United States using geo-tweets and Bayesian-based method. Overall, the public holds a positive attitude towards COVID-19 vaccines, but there are variations in public sentiment across different periods and topics. African Americans tend to have a relatively lower sentiment towards vaccines.
Article
Computer Science, Interdisciplinary Applications
Qian Liu, Hui Xu, Paul R. Houser, Donglian Sun, Matthew Rice, Likun Wang, Daniel Q. Duffy, Chaowei Yang
Summary: This study proposes an innovative cloud fraction retrieval model using deep neural networks that achieve consistent results with truth values. The model uses the radiation spectra from Cross-track Infrared Sounder (CrIS) as predictors and the Visible Infrared Imaging Radiometer Suite (VIIRS) cloud mask as the learning target. By collocating and optimizing randomly selected CrIS and VIIRS data, a 5-layer neural network is built to establish the relationship between the CrIS spectra and the cloud fraction. The proposed model can be a useful tool for obtaining cloud fraction information from hyperspectral infrared sounders and has potential applications in weather prediction, climate models, and other cloud studies.
COMPUTERS & GEOSCIENCES
(2023)
Article
Geography, Physical
Zifu Wang, Yun Li, Kevin Wang, Jacob Cain, Mary Salami, Daniel Q. Q. Duffy, Michael M. M. Little, Chaowei Yang
Summary: With the advancement of AI technologies and big Earth data, DL has become an important method in Earth science. However, computational challenges still exist for DL-based applications. This study aims to address these challenges by revising DL models/algorithms and testing their performance on multiple GPU computing platforms.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2023)
Article
Computer Science, Information Systems
Hai Lan, Dexuan Sha, Anusha Srirenganathan Malarvizhi, Yi Liu, Yun Li, Nadine Meister, Qian Liu, Zifu Wang, Jingchao Yang, Chaowei Phil Yang
Summary: With the rapid spread of COVID-19 in 2019, governments, organizations, and research institutions worldwide have dedicated vast resources to researching effective strategies to fight the virus. However, a major challenge lies in the lack of standardized, updated, and high-quality international COVID-19 case data products.
Article
Geography
Mengchao Xu, Liang Zhao, Ruixin Yang, Jingchao Yang, Dexuan Sha, Chaowei Yang
Summary: Database systems are essential in the current big data era, but efficiently managing and querying multidimensional climate data remains a challenge for most databases. There is an urgent need for efficient data storage and fast retrieval solutions for large multidimensional datasets to meet scientific interests and application demands.