Accumulating evidences showed that the optimal brain network topology was altered with progression of fatigue during car driving. However, extent discriminative power functional connectivity contributes to driving detection is still unclear. In this article, we extracted two types features (network properties and critical connections) explore their usefulness in detection. EEG data were recorded twice from twenty healthy subjects a simulated experiment. Multiband matrices established using...

Although emotion recognition techniques have been well developed, the understanding of neural mechanism remains rudimentary. The traditional static network approach cannot reflect entire brain activity at time scale. Instead, a newly introduced temporal is an optimal which can be used to investigate dynamic functional connectivity (FC) human in different states considering time-varying regional interaction. In this study, we focused on and FC analysis with SEED dataset. First, multiband...

Although driving fatigue has long been recognized as one of the leading causes fatal accidents worldwide, underlying neural mechanisms remain largely unknown that impedes developments automatic detection techniques. This study investigated effects on reorganization dynamic functional connectivity (FC) through our newly developed temporal brain network analysis framework. EEG data were recorded from 20 healthy subjects (male/female = 15/5, age 22.2 ± 3.2 years) using a remote wireless cap...

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,...

Objective. Although various driving fatigue detection strategies have been introduced, the limited practicability is still an obstacle for real application of these technologies. This study based on newly proposed non-hair-bearing (NHB) method to achieve practical with fewer channels from NHB areas and more efficient electroencephalogram (EEG) features.Approach. EEG data were recorded 20 healthy subjects (15 males, age = 22.2 ± 3.2 years) in a 90 min simulated task using remote wireless cap....

The Ecological Protection Redline (EPR) is an innovative measure implemented in China to maintain the structural stability and functional security of ecosystem. By prohibiting large-scale urban industrial construction activities, EPR regarded as “lifeline” ensure national ecological security. It great practical significance scientifically evaluate protection effect identify vacancies. However, current research has focused only on effects ecosystem services (ESs), connectivity remains poorly...

Either hardness or toughness has been the core interest in scientific exploration and technological pursuit for a long time. However, it is still big challenge to enhance at same time, since improvement of one side always expense other one. Here, we have succeeded dealing with this pair conflict based on tungsten (W) coating by doping boron (B) via magnetron co-sputtering. The results reveal that introduction low concentrations B (6.3 at. %), regime, leads formation W(B) supersaturated solid...

Abstract The aim of the present study is to probe relation between plant growth and its decontamination effect in constructed wetlands. Four species were studied small‐scale mono‐cultured wetlands, which fed with domestic wastewater. Plant indexes correlated contaminant removal performance Wetlands planted Cyperus flabelliformis Rottb. showed highest such as shoot growth, biomass, root activity, biomass increment, rates, whereas wetlands Vetiveria zizanioides L. Nash had lowest rates....

With the development of autonomous vehicle technology, human-centered transport research will likely shift to interaction between humans and vehicles. This study focuses on human trust variation in vehicles (AVs) as technology becomes increasingly intelligent. uses electroencephalogram data analyze AVs during simulated driving conditions. Two conditions, semi-autonomous autonomous, which correspond two highest levels automatic driving, are used for simulation, accompanied by various car The...

Abstract Based on the InVEST model, spatial and temporal evolution trends of water soil conservation service functions in northern Guangdong three periods from 2000 to 2018 were evaluated, factors affecting changes distribution time further analyzed. The results indicate: (1) average erosion per unit area study different years is 5.9∼7.6 t/ha•a, 81∼87% mild erosion. (2) amount retention increased firstly then decreased, reaching a maximum 68.87 t/ha•a 2010. This change was mainly caused by...

Dynamic functional networks (DFN) have considerably advanced modelling of the brain communication processes. The prevailing implementation capitalizes on system and network-level correlations between time series. However, this approach does not account for continuous impact non-dynamic dependencies within statistical correlation, resulting in relatively stable connectivity patterns DFN over with limited sensitivity dynamic regions. Here, we propose an activation network framework based...

This paper explores Nike’s evolving localization strategies in the Chinese market. It traces journey from its initial entry into China to significant growth, highlighting several key strategies. These include releasing limited edition products aligned with festivals, collaborating influential local brands, securing endorsements prominent sports celebrities, and sponsoring youth events such as National High School Basketball League. Additionally, Nike has actively engaged community...

Emotion recognition has been recognized as an important issue in terms of human-computer interaction. Various studies showed brain regional cooperation changed with mental state. However, the role specific channels and their topology during emotion activity is still unclear. In this paper, we extracted multi-dimension EEG features to achieve network construction recognition. The dataset from 2020 World Robot Conference-Brain-Computer Interfaces (BCI) Contest, provided by Shanghai Jiaotong...

Based on the land use data of study area in 1990, 2000 and 2010, paper tries to analyse characteristic cover change (LUCC) Pearl River Delta its driving forces as well differences among Shenzhen, Dongguan Foshan by adopting approaches dynamic degree, transition matrix case studies. The results show that a large amount farmland forests have been converted construction area, synthesize degrees are 2.3% 6.2% during 1990-2000 2000-2010, respectively. also indicate Zhuhai Shenzhen highest degree...