A5100358376- Land Use and Ecosystem Services
- Neural dynamics and brain function
- Per- and polyfluoroalkyl substances research
- Urban Green Space and Health
- EEG and Brain-Computer Interfaces
- Water Quality Monitoring and Analysis
- Complex Systems and Time Series Analysis
- Toxic Organic Pollutants Impact
- Landslides and related hazards
- TiO2 Photocatalysis and Solar Cells
- Plant Ecology and Soil Science
- Heavy metals in environment
- Complex Network Analysis Techniques
- Urban Design and Spatial Analysis
- Advanced oxidation water treatment
- Market Dynamics and Volatility
- Plant Water Relations and Carbon Dynamics
- Atmospheric chemistry and aerosols
- Urban Agriculture and Sustainability
- CO2 Sequestration and Geologic Interactions
- Metal-Organic Frameworks: Synthesis and Applications
- Ecology and Vegetation Dynamics Studies
- Wind and Air Flow Studies
- Stock Market Forecasting Methods
- Functional Brain Connectivity Studies
Guangxi Medical University
2022-2025
Institute of Forest Ecology, Environment and Protection
2024
Chinese Academy of Forestry
2024
Zhengzhou University
2024
Tianjin University of Science and Technology
2024
Shanghai University
2024
Shanghai University of Finance and Economics
2024
China Power Engineering Consulting Group (China)
2024
University of Macau
2020-2023
Centre for Artificial Intelligence and Robotics
2023
In the realm of cryptocurrency, prediction Bitcoin prices has garnered substantial attention due to its potential impact on financial markets and investment strategies. This paper propose a comparative study hybrid machine learning algorithms leverage enhancing model interpretability. Specifically, linear regression(OLS, LASSO), long-short term memory(LSTM), decision tree regressors are introduced. Through grounded experiments, we observe regressor achieves best performance among candidate...
Abstract With the rapid development of bioscience and technology, wearable electronic devices are developing toward advanced trends such as flexibility, convenience, multifunctionality, user‐friendliness. Herein, polystyrene‐block‐poly(ethylene‐co‐butylene)‐block‐polystyrene (SEBS) is employed for assisting strong binding silver nanoparticles (AgNPs) with polyimide nanofiber (PIF) to obtain durable PIAgS conductive membrane antibacterial hydrophobic ability. Owing porous fiber skeleton good...
This article reviews the fabrication methods, structural design, sensing performances and multifunctional applications of MXene-based stress sensors, their challenges development trends are also discussed.
Abstract In the realm of cryptocurrency, prediction Bitcoin prices has garnered substantial attention due to its potential impact on financial markets and investment strategies. This paper propose a comparative study hybrid machine learning algorithms leverage enhancing model interpretability. Specifically, linear regression(OLS, LASSO), long-short term memory(LSTM), decision tree regressors are introduced. Through grounded experiments, we observe regressor achieves best performance among...
Bisphenol A (BPA) is one of the environmental endocrine disruptors, due to its chemical stability it exists in abundant concentrations water and soil consequently accumulating food chain causing many endocrine-related health problems. So far, studies on effects BPA marine invertebrates have focused acute toxicity, regulation, reproduction, development. However, fewer been conducted benthos. The current study aimed detect accumulation impact tissue structure, antioxidant capacity, immune...
Growing evidence has revealed the impacts of exposure to fine particulate matter (PM
The physiological functions of micronutrients in neurodevelopment are well documented, but their protective effects on neurodevelopmental disorders remain controversial. We assessed the associations between and three main disorders, that is, autism spectrum disorder (18,381 cases), attention-deficit/hyperactivity (38,691 Tourette’s syndrome (4,819 using two-sample Mendelian randomization analyses. In addition, we estimated mediation role brain imaging-derived phenotypes ( n = 33,224) these...
Driver fatigue has been intensively investigated for recent decades, nevertheless the underlying neural mechanism remains unclear. This study explored cross-frequency coupling (CFC) between slow and fast oscillations in a multilayer brain network description of functional network. Specifically, we compared topological characteristics CFC embedded networks vigilant states. From 24-channel EEG recorded on 20 subjects, found that state was elevated, especially beta-gamma frontal pole, frontal,...
Fetal sex hormone homeostasis disruption could lead to reproductive and developmental abnormalities. However, previous studies have reported inconsistent findings regarding the association of maternal per- polyfluoroalkyl substances (PFAS) exposure with fetal levels. A total 277 mother-infant pairs from Guangxi Zhuang Birth Cohort Study between 2015 2019 were selected. We quantified nine PFAS in serum early pregnancy, detected three hormones, namely, estradiol (E2), progesterone (P4)...
Epilepsy is a common neurological disorder characterized by recurring seizures, but its underlying mechanisms remain poorly understood. Despite extensive research, there are still gaps in our knowledge about the relationship between brain dynamics and seizures. In this study, aim to address these proposing novel approach assess role of network onset Specifically, we investigate seizures tracking distance criticality. Our hypothesis that plays crucial state changes may be related critical...
CO2-N2-mixture injection can be used for the exploitation and reformation of natural gas hydrate reservoirs. The permeability evolution sediments in presence CO2-N2 is very important. In current tests, hydrate-bearing sediment formed from mixture rarely involved. this work, was mixtures, a constant flow method employed to measure sediments. effects CO2 mole fraction saturation on were investigated. results show that composition key factor affecting formation. Hydrate increases with...
Constructed wetlands are commonly utilized to treat industrial wastewater due their effectiveness, affordability, and environmental benefits. Many phosphorus chemical enterprises in the middle Yangtze River basin facing high pollution load challenges efforts needed improve removal efficiency of pollutants. This work was first use constructed for industry tailwater (PCITW) treatment. The new hybrid (CWs) proposed were aeration horizontal subsurface flow wetland (AHSCW) integrated vertical...
The rapid development of heterogeneous networks has proposed new challenges to the long-standing link prediction problem. Existing models trained on verified edge samples from different types usually learn type-specific knowledge, and their predictions may be contradictory for unverified with uncertain types. This challenge is termed edge-type disturbance in networks. To address this challenge, we develop a disturbance-resilient method ( DRPM ) comprising structural characterizer, type...
Samples of soils, rice plants, and the adult, long-winged, brown planthoppers, Nilaparvata lugens (Stål) (Homoptera: Delphacidae), were collected from 18 sites 9 regions in southern China. The concentrations seven elements (Cu, Zn, As, Mo, Ag, Cd, Pb) measured using inductively coupled plasma mass spectrometry. Heavy metal mobility bioaccumulation analyzed plant-N. system. Pb plants positively correlated with their relevant soil samples bioconcentration factors system showed that order...
Wind-driven rain (WDR) and its interactions with structures is an important research subject in wind engineering. As bridge spans are becoming longer longer, the effects of WDR on long-span bridges should be well understood. Therefore, this paper presents a comprehensive numerical simulation study full-scale under extreme conditions. A validation shows that predictions section model agree experimental results, validating applicability approach based Eulerian multiphase model. Furthermore,...