Article
Engineering, Civil
Yiji Zhao, Youfang Lin, Yongkai Zhang, Haomin Wen, Yunxiao Liu, Hao Wu, Zhihao Wu, Shuaichao Zhang, Huaiyu Wan
Summary: This article introduces a deep spatio-temporal network framework based on multi-relational learning (MR-STN) for predicting traffic inflows and outflows. The proposed framework incorporates a multi-relational learning module to comprehensively model relationships between flows and utilizes an enhanced STFL to capture both local and global information. Extensive experiments demonstrate that the proposed framework significantly improves the performance of existing models.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Zhongfang Liu, Camille Risi, Francis Codron, Zhimin Jian, Zhongwang Wei, Xiaogang He, Christopher J. Poulsen, Yue Wang, Dong Chen, Wentao Ma, Yanyan Cheng, Gabriel J. Bowen
Summary: The last two decades have witnessed significant decline and year-to-year variability in Arctic winter sea ice, particularly in the Barents-Kara Sea region. These changes are believed to be associated with extreme midlatitude weather and climate, and are primarily driven by atmospheric circulation patterns.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Psychology, Mathematical
Miguel A. Garcia-Perez, Rocio Alcala-Quintana
Summary: This study found that Visual Analog Scales (VAS) with intermediate tick marks are more accurate and precise compared to VAS with only numerical labels at the endpoints. The provision of intermediate tick marks also reduces variability in accuracy and precision. Therefore, it is recommended to include intermediate tick marks in the design of VAS.
BEHAVIOR RESEARCH METHODS
(2022)
Article
Biodiversity Conservation
Santiago Botia, Shujiro Komiya, Julia Marshall, Thomas Koch, Michal Galkowski, Jost Lavric, Eliane Gomes-Alves, David Walter, Gilberto Fisch, Davieliton M. Pinho, Bruce W. Nelson, Giordane Martins, Ingrid T. Luijkx, Gerbrand Koren, Liesbeth Florentie, Alessandro Carioca de Araujo, Marta Sa, Meinrat O. Andreae, Martin Heimann, Wouter Peters, Christoph Gerbig
Summary: The study used atmospheric CO2 measurements from the Amazon Tall Tower Observatory to reveal the seasonal and inter-annual variability of CO2 in the Amazon region, as well as the impact of river evasion on the seasonal cycle shape. It was found that the simulated flux products could not fully capture the observed characteristics of the seasonal cycle.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Gobert Heesink, Mirjam J. Marseille, Mohammad A. A. Fakhree, Mark D. Driver, Kirsten A. van Leijenhorst-Groener, Patrick R. Onck, Christian Blum, Mireille M. A. E. Claessens
Summary: Theoretical concepts from polymer physics are frequently used to describe the behavior of intrinsically disordered proteins (IDPs). However, interactions between amino acids within the protein can lead to deviations from typical polymer scaling behavior and the emergence of short-lived secondary structures. In this study, we investigated the interactions in the highly dynamic IDP α-synuclein at the amino acid level using single-molecule fluorescence resonance energy transfer experiments and molecular dynamics simulations. Our results demonstrate excellent agreement between experiments and simulations, revealing the effects of intra- and inter-regional interactions on the folding and conformation of α-synuclein. Overall, this study highlights the importance of combining experimental and computational approaches to understand the key interactions in highly dynamic IDPs.
Article
Engineering, Civil
Dongfang Ma, Xiang Song, Pu Li
Summary: This paper proposes a deep-learning-based method for daily traffic flow forecasting, which integrates contextual factors and traffic flow patterns. The approach achieves over 90% prediction accuracy and outperforms existing benchmark methods, demonstrating robust forecasting performance under various scenarios.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Water Resources
Haixia Zhang, Congsheng Fu, Aimin Liao, Can Zhang, Jiufu Liu, Niu Wang, Bin He
Summary: This study investigated the dynamics of stemflow at both inter- and intra-event scales in a subtropical deciduous forest, finding significant influences of tree species and rainfall type, with a more pronounced effect of tree species under low-intensity rainfall. Stemflow volume showed positive linear correlations with rainfall amount and event duration, while stemflow funnelling ratio and stemflow ratio had positive logarithmic correlations with these factors under high-intensity, short-duration rainfall. Wind speed and maximum 30-min rainfall intensity were identified as key factors affecting stemflow characteristics under low-intensity, long-duration rainfall.
HYDROLOGICAL PROCESSES
(2021)
Article
Chemistry, Multidisciplinary
Eric Bremond, Alistar Ottochian, Angel Jose Perez-Jimenez, Ilaria Ciofini, Giovanni Scalmani, Michael J. Frisch, Juan Carlos Sancho-Garcia, Carlo Adamo
Summary: The study investigates the performance of newly introduced range-separated double-hybrid functionals, finding that the improved models show higher accuracy for inter-molecular charge-transfer excitation energies.
JOURNAL OF COMPUTATIONAL CHEMISTRY
(2021)
Article
Forestry
Rutile Pukiene, Adomas Vitas, Justas Kazys, Egidijus Rimkus
Summary: The analysis of 42 years of Scots pine tree-diameter data revealed that the largest growth in tree diameter occurred in June, with a sharp decrease in growth rate after June 24. Tree growth in May and August was mainly affected by temperature, while precipitation was the main factor driving tree growth from June to August. The largest positive growth-rate changes in tree diameter were due to higher air temperature in May and June between 1976 and 2017.
CANADIAN JOURNAL OF FOREST RESEARCH
(2021)
Article
Environmental Sciences
Chi-Yun Chen, Tien-Hsuan Lu, Wei-Min Wang, Chung -Min Liao
Summary: Despite increased public awareness of microplastics (MPs) in air, little attention has been given to the emission and health risks associated with tire wear particles (TWPs) in the atmosphere. This study used vehicle kilometers traveled (VKT) estimates to predict regional emissions of TWP-derived atmospheric MPs, considering factors such as demographics, socio-environmental features, and emission factors. The findings showed that passenger cars and heavy-duty vehicles were the highest emitters, and TWP emissions from passenger cars decreased during COVID-19 lockdowns but are projected to increase with vehicle electrification. The study highlights the need for TWP emission control in countries like the United States, China, and India, and provides valuable information for environmental transportation planners.
Article
Environmental Sciences
N. Chandana, Bakul Rao
Summary: In India, the second phase of the ODF initiative has begun to sustain millions of toilets, but to achieve this goal, significant knowledge gaps and variations in fecal sludge characteristics must be addressed. The study found that fecal sludge characteristics change with age, with older sludge requiring longer treatment time and higher costs. The research can help practitioners establish or modify fecal sludge treatment systems based on variations in characteristics at the town level in India.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Agronomy
Juliana De Souza Rodrigues Marinho, Paula Arielle Mendes Ribeiro Valdisser, Claudio Brondani, Isabela Pavanelli, Rosana Pereira Vianello
Summary: This study estimated the inter- and intra-racial genetic diversity of common bean races using SSR and SNP markers. The results showed that there was not a clear differentiation between the bean races, and the population structure primarily divided by gene pool.
GENETIC RESOURCES AND CROP EVOLUTION
(2023)
Article
Environmental Sciences
Rildo Goncalves de Moura, Francis Wagner Silva Correia, Jose Augusto Paixao Veiga, Vinicius Buscioli Capistrano, Paulo Yoshio Kubota
Summary: This study evaluated the isolated effects of interannual and decadal time scales on the water balance of the Amazon basin. The results showed that isolated interannual scales weakened the impacts of El Nino and La Nina on water balance components. These findings are important for monitoring the climate of humid tropical regions.
Article
Behavioral Sciences
Pierrette Mercier, Lynn Honeckman, Fiia Jokela, Arthur E. Dunham, Karen L. Overall
Summary: Assessing the behavior of dogs during veterinary exams is important for identifying fear and distress, which can affect the quality of care. This study evaluated the reliability of different scales for measuring dog behavior in the exam room. The results showed that a standardized scale can be used reliably by multiple evaluators.
JOURNAL OF VETERINARY BEHAVIOR-CLINICAL APPLICATIONS AND RESEARCH
(2023)
Article
Psychology, Multidisciplinary
Yue Xiao, Pujue Wang, Hongyun Liu
Summary: Intensive longitudinal studies have gained popularity for studying individual dynamics of psychological processes. However, the measurement error in such studies and the lack of appropriate assessment methods for reliability have been a concern. This article introduces a two-level random dynamic measurement (2RDM) model for Intensive longitudinal data (ILD) that includes measurement models for key variables. The implementation and estimation of reliability using the 2RDM model are demonstrated through simulation and empirical studies.
PSYCHOLOGICAL METHODS
(2023)
Article
Materials Science, Multidisciplinary
Xue Liang Li, Shaozhuan Huang, Dong Yan, Jian Zhang, Daliang Fang, Yew Von Lim, Ye Wang, Tian Chen Li, Yifan Li, Lu Guo, Hui Ying Yang
Summary: In this study, a 3D lithiophilic rGO-Ag-S-CNT composite with interlayer-bridged structure was proposed to guide uniform and stable Li plating/stripping. The composite exhibited lower overpotential, higher Coulombic efficiency, and superior long cycling performance compared to other anode materials.
ENERGY & ENVIRONMENTAL MATERIALS
(2023)
Article
Engineering, Industrial
Yifan Li, Chunjie Wu, Wendong Li, Fugee Tsung
Summary: This article proposes a nonparametric CUSUM charting scheme to monitor passenger flow in urban rapid transit systems. By using a minimum distance criterion and kernel density estimation, this method is able to detect shifts of all sizes sensitively and performs well in practical applications.
Article
Ophthalmology
He-Yan Li, Qiong Yang, Li Dong, Rui-Heng Zhang, Wen-Da Zhou, Hao-Tian Wu, Yi-Fan Li, Wen-Bin Wei
Summary: This study examined the relationship between stroke and ocular diseases, including visual impairment, and found significant associations between visual impairment and major ocular diseases with stroke. The associations were particularly strong for mild visual impairment, moderate/severe visual impairment, and any ocular disease.
Article
Engineering, Electrical & Electronic
Yuequan Wang, Xiaolin Zhou, Yaoyang Wu, Han Wang, Yifan Li, Pengfei Tian, Sirui Xiu
Summary: This paper proposes an iterative photon counting nonorthogonal multiple access-multiple-input-multiple-output (NOMA-MIMO) system based on optical intelligent reflecting surface (IRS). The channel fading coefficient matrix of the NOMA-MIMO system is constructed by analyzing the geometric and misalignment losses under turbulence effect in the optical IRS-based atmospheric channel. A novel iterative parallel interference cancellation algorithm based on logarithmic likelihood ratio is developed for signal detection at the receiver. The reliability of the proposed system is proved through simulation of bit error rate (BER), with a BER performance of 2 x 10-5 at -165 dBJ per bit for the scenario of 3x5 MIMO system. Additionally, the numerical results indicate that the proposed system has a rapid convergence performance in the external information transfer process.
MICROWAVE AND OPTICAL TECHNOLOGY LETTERS
(2023)
Article
Clinical Neurology
Haoming Huang, Xiaomeng Ma, Xiaomei Yue, Shangyu Kang, Yifan Li, Yawen Rao, Yue Feng, Jinjian Wu, Wenjie Long, Yuna Chen, Wenjiao Lyu, Xin Tan, Shijun Qiu
Summary: The white matter of the brain in patients with type 2 diabetes mellitus is susceptible to neurodegenerative processes, resulting in microstructural lesions. Specifically, abnormalities were found in specific portions of the right superior longitudinal fasciculus, right arcuate fasciculus, left anterior thalamic radiation, and forceps major. These abnormalities may be associated with insulin and glucose status as well as blood pressure.
CLINICAL NEURORADIOLOGY
(2023)
Article
Chemistry, Physical
Yu -Wei Li, Shu-Zhi Li, Li-Yan Liu, Zi-Feng Zhang, Wan-Li Ma
Summary: The study investigates the energy transfer mediated oxygen activation mechanism by introducing oxygen-containing functional groups and Bi metal into tubular g-C3N4 (TCN) to prepare BiOxTCN photocatalyst. The results show that BiOxTCN exhibits enhanced degradation efficiency and increased production of singlet oxygen, providing a novel approach for the application of photocatalytic oxidation technology in water treatment.
APPLIED CATALYSIS B-ENVIRONMENTAL
(2023)
Article
Engineering, Environmental
Liang Wang, Zi-Feng Zhang, Li-Yan Liu, Fu-Jie Zhu, Wan-Li Ma
Summary: By investigating the pollution characteristics of pesticides in surface soil across China, this study found significant differences in the levels and spatial distributions of organochlorine pesticides (OCPs) and current used pesticides (CUPs) in different regions. The study provides important information for a deeper understanding of the environmental fate of pesticides in both China and the world.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Engineering, Environmental
Shi-Ming Jia, De-Qi Wang, Li-Yan Liu, Zi-Feng Zhang, Wan-Li Ma
Summary: The study comprehensively investigated the distribution of environmental persistent free radicals (EPFRs) in different size particles and evaluated the inhalation exposure risk. The results showed that the concentration of EPFRs was higher during heating season compared to non-heating season. The contribution of EPFRs in PM>10 to the total concentration of EPFRs cannot be neglected, particularly during non-heating season. The study also indicated a higher inhalation exposure risk for 3-4-year-old children.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Environmental Sciences
Yu-Wei Li, Zi-Feng Zhang, Shu-Zhi Li, Li-Yan Liu, Wan-Li Ma
Summary: In this study, nitrogen vacancy engineered reticulate g-C3N4(Nv-RCN) was successfully synthesized and showed higher light absorption capability and carrier transfer efficiency compared to bulk g-C3N4(CN). The Nv-RCN exhibited excellent removal efficiency of propylparaben (PrP) and high oxygen concentration and low pH value promoted PrP photodegradation.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Chun-Yan Huo, Wen-Long Li, Li-Yan Liu, Yu Sun, Jia-Qi Guo, Liang Wang, Hayley Hung, Yi-Fan Li
Summary: Some phthalate esters (PAEs), commonly used in consumer products, have been restricted due to their adverse health effects, leading to the emergence of alternative non-phthalate plasticizers (NPPs). This study investigated the presence of PAEs and NPPs in the air of a typical indoor residence in northern China for over a year. It was found that PAEs were still the dominant plasticizers being used, with higher concentrations compared to NPPs. The concentrations of PAEs and NPPs showed seasonal variation, with peak levels occurring in summer and autumn.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Pu-Fei Yang, Robie W. Macdonald, Hayley Hung, Derek C. G. Muir, Roland Kallenborn, Anatoly N. Nikolaev, Wan-Li Ma, Li-Yan Liu, Yi-Fan Li
Summary: Using a mass balance box model, the historical loading, removal, and cumulative burden of b-hexa-chlorocyclohexane (b-HCH) in the Arctic Ocean from 1945 to 2020 were investigated. The majority of the loading occurred through ocean currents and river inflow, while atmospheric transport contributed only a small portion. b-HCH accumulated in the Arctic Ocean starting in the late 1940s, reached a peak in 1986, and decreased by 2020. The pathways of b-HCH entering the Arctic differed from those of a-HCH, with b-HCH primarily transported through long-range oceanic transport.
ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Ruru Chen, Jian Zhao, Yifan Li, Yi Cui, Ying-Rui Lu, Sung-Fu Hung, Shifu Wang, Weijue Wang, Guodong Huo, Yang Zhao, Wei Liu, Junhu Wang, Hai Xiao, Xuning Li, Yanqiang Huang, Bin Liu
Summary: By using experimental and theoretical methods, the metastable state of single-atom Sn in copper oxide was tracked and identified, providing a theoretical basis for the highly selective CO2 electroreduction to CO.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
Article
Environmental Sciences
Xiangyun Zhang, Jun Li, Sanyuan Zhu, Junwen Liu, Ping Ding, Shutao Gao, Chongguo Tian, Yingjun Chen, Ping'an Peng, Gan Zhang
Summary: The accurate identification of elemental carbon (EC) sources in aerosol based on radiocarbon (C-14) depends on the method of EC isolation. The lack of aerosol EC reference materials makes it impossible to evaluate the accuracy of various methods for the analysis of C-14-EC in aerosols. In this study, different EC isolation methods were evaluated using biomass burning, vehicle exhaust, and coal combustion samples, and the results showed that the hydropyrolysis (Hypy) method was a more effective and stable approach for the matrix-independent C-14 quantification of EC in aerosols.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Chemistry, Multidisciplinary
Ruru Chen, Jian Zhao, Yifan Li, Yi Cui, Ying-Rui Lu, Sung-Fu Hung, Shifu Wang, Weijue Wang, Guodong Huo, Yang Zhao, Wei Liu, Junhu Wang, Hai Xiao, Xuning Li, Yanqiang Huang, Bin Liu
Summary: By using experimental and theoretical approaches, this study successfully tracked and identified the metastable state of single-atom Sn in copper oxide, providing fundamental insights for the highly selective electroreduction of CO2 to produce CO.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
Article
Computer Science, Artificial Intelligence
Likun Xia, Yuan Feng, Ziheng Guo, Jinhong Ding, Yanlei Li, Yifan Li, Ming Ma, Guoxi Gan, Yehan Xu, Jingyu Luo, Zhiping Shi, Yong Guan
Summary: This study proposes an early detection framework based on EEG data for reducing the risk of mental stress-related diseases. The framework, called MuLHiTA, utilizes a multibranch LSTM and hierarchical temporal attention approach to effectively identify mental stress levels. Experimental results demonstrate that MuLHiTA outperforms state-of-the-art algorithms, showcasing its viability for early detection of mental stress.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
