A5076213595- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- Seismology and Earthquake Studies
- Neural dynamics and brain function
- Psychedelics and Drug Studies
- Drilling and Well Engineering
- Neurotransmitter Receptor Influence on Behavior
- Rock Mechanics and Modeling
- Rice Cultivation and Yield Improvement
- Multi-Agent Systems and Negotiation
- Neuroscience and Neural Engineering
- Tactile and Sensory Interactions
- Face and Expression Recognition
- Traumatic Brain Injury Research
- Face Recognition and Perception
- Remote Sensing in Agriculture
- Image Retrieval and Classification Techniques
- Water Quality Monitoring Technologies
- Legume Nitrogen Fixing Symbiosis
- Advanced Image and Video Retrieval Techniques
- Neural Networks and Applications
- Visual Attention and Saliency Detection
- Hydrological Forecasting Using AI
Beijing General Research Institute of Mining and Metallurgy
2019-2025
Chinese Academy of Sciences
2003-2025
Peking University
2025
University of Chinese Academy of Sciences
2021-2025
Institute of Genetics and Developmental Biology
2020-2025
Center for Life Sciences
2025
Hebei University of Engineering
2025
State Key Laboratory of Pollution Control and Resource Reuse
2025
Tongji University
2024-2025
Zhejiang Gongshang University
2025
The aim of our study was to use functional magnetic resonance imaging investigate how spontaneous activity interacts with evoked activity, as well the temporal structure that is, long-range correlations, relate this interaction. Using an extremely sparse event-related design (intertrial intervals: 52-60 s), a novel blood oxygen level-dependent signal correction approach (accounting for fluctuations using pseudotrials) and phase analysis, we provided direct evidence nonadditive interaction...
The neurobiology of the psychedelic experience is not fully understood. Identifying common brain network changes induced by both classical (i.e., acting at 5-HT
Abstract Recent studies have demonstrated resting‐state abnormalities in midline regions vegetative state/unresponsive wakefulness syndrome and minimally conscious state patients. However, the functional implications of these remain unclear. findings healthy subjects revealed a close overlap between neural substrate self‐referential processing activity cortical regions. As such, we investigated task‐related during active various measures 11 patients with disorders consciousness (DOC) 12...
Abstract Recent studies at the cellular and regional levels have pointed out multifaceted importance of neural synchronization temporal variance activity. For example, has been shown by us to be altered in patients vegetative state (VS). This finding nonetheless leaves open question whether these abnormalities are specific VS or rather more generally related absence consciousness. The aim our study was investigate changes inter‐ intra‐regional resting activity anesthetic‐induced...
Abstract Variability quenching is a widespread neural phenomenon in which trial‐to‐trial variability (TTV) of activity reduced by repeated presentations sensory stimulus. However, its mechanism and functional significance remain poorly understood. Recurrent network dynamics are suggested as candidate TTV, they play key role consciousness. We thus asked whether the variability‐quenching related to level hypothesized that TTV reduction would be compromised during consciousness propofol...
Nitrogen (N) is the driving factor for crop yield and quality, more research needed on mechanisms of aged micro/nano plastics (MNPs) N assimilation in edible crops. In this study, pot experiments were conducted to investigate potential effect polyethylene (PE) microplastic addition (particle sizes: 20 0.1 µm, levels: 0.5 % [w/w], referred as control (CK), P20 (20-µm PE), AP20 P0.1 (0.1-µm AP0.1 PE) MNPs accumulation romaine lettuce (Lactuca sativa L.). The results showed that particle size...
With the accelerated development of subways in China, elevated subway stations (ESSs) capitalize on natural ventilation and lighting to significantly save energy. Nevertheless, their thermal environments are rarely addressed. This study conducts annual environment measurements, surveys, comfort analysis five typical ESS buildings. The results field measurements demonstrate that station’s is influenced by architectural space forms such as skylight ratio, platform doors, openness, form....
Highlights•Crop root bacterial (CRBC) and viral (CRVC) genome categories were established•We found 1,817 undefined species 1,572 unreported genera•Despite varied taxa, microbiome functions remain conserved across plants soils•A total of 27% abundant bacteria in crop microbiomes are linked to phagesSummaryReference genomes microbes essential for metagenomic analyses mechanistic studies microbiomes. By combining high-throughput cultivation with sequencing, we constructed comprehensive...
To evaluate the gap between China's top-tier medical institutions and international institutions, to provide references for construction of first-class science discipline in China. Using globally recognized rankings we selected 24 11 Chinese institutions. Publicly available, general, comparable data on indicators were collected analyze performance gaps human resources development, talent cultivation, scientific research, social services, construction. In field medicine, largest was...
Previous studies investigating working memory performance in patients with mild cognitive impairment (MCI) have mainly focused on the neural mechanisms of alterations activation. To date, very few investigated background network state. Therefore, present study static and temporal dynamic changes MCI during a task. A hybrid delayed-match-to-sample task was used to examine patients. Functional magnetic resonance imaging (fMRI) data were collected marker amplitude low-frequency fluctuations...
Predicting the dissolved oxygen concentration and identifying its driving factors are essential for improved prevention management of anoxia in estuaries. However, complex hydrodynamic conditions limitations traditional methods result challenges identification low (DO) phenomenon. The objective our study is to develop a robust deep learning model using four-year situ data collected from an automatic water quality monitoring station (AWQMS) estuary, accurate quantification influencing DO...
Abstract Previous studies have demonstrated that altered states of consciousness are related to changes in resting state activity the default-mode network (DMN). Anatomically, DMN can be divided into anterior and posterior regions. The includes perigenual cingulate cortex other medial prefrontal cortical regions, whereas regions such as (PCC) temporal parietal junction (TPJ). Although differential roles been attributed their exact contributions levels remain unclear. To investigate specific...
SUMMARY Microseismic monitoring is crucial for risk assessment in mining, fracturing and excavation. In practice, microseismic records are often contaminated by undesired noise, which an obstacle to high-precision seismic locating imaging. this study, we develop a new denoising method improve the signal-to-noise ratio (SNR) of signals combining wavelet coefficient thresholding pixel connectivity thresholding. First, pure background noise range record estimated using variance (ROV) method....
Microseismic events can be used to analyze the risk of tunnel collapse, rock burst, and other mine hazards in space time. In practice, artificial activities signals at mining site seriously interfere with microseismic waveforms, reducing signal-to-noise ratio. this study, we propose a denoising method based on threshold cumulative distribution function (CDF) wavelet coefficients domain using synchrosqueezed continuous transform (SS-CWT). First, ratio signal variance between two adjacent time...
This paper discusses the new complexity metrics for VVC decoder power reduction introduced in 3 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rd</sup> edition of Green Metadata standard. The standard defines dedicated syntax elements that represent expected software decoding with a high accuracy. Using simple model, which can be trained any implementation, receiver video estimate processing to decode subsequent segment. Afterwards, it adjust...
Accurate and generalizable classification of brain states is essential for understanding their neural underpinnings improving clinical diagnostics. Traditionally, functional connectivity patterns graph-theoretic metrics have been utilized. However, cortical gradient features, which reflect global organization, offer a complementary approach. We hypothesized that machine learning model integrating these three feature sets would effectively discriminate between baseline atypical across wide...
Decision making plays a more and important role in present society, especially dealing with open complex giant systems, such as macroeconomic decision making. A feasible effective approach for the increasingly remarkable problems, particular is to construct Hall Workshop of Metasynthetic Engineering (HWME), which essentially an intelligent support system itself. On other hand, emergent agent technology proposed popularized new computing paradigm building software systems. In this paper, we...