Search Results - "Wang, Kai Yu"
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miR-19a/b-3p promotes inflammation during cerebral ischemia/reperfusion injury via SIRT1/FoxO3/SPHK1 pathway
Published in Journal of neuroinflammation (29-05-2021)“…Abstract Background Stroke affects 3–4% of adults and kills numerous people each year. Recovering blood flow with minimal reperfusion-induced injury is…”
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Managing social media recovery: The important role of service recovery transparency in retaining customers
Published in Journal of retailing and consumer services (01-01-2022)“…This research examines the influence of service recovery transparency on customer forgiveness to retain customers in the context of service recovery via social…”
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EEG-Based Attention Tracking During Distracted Driving
Published in IEEE transactions on neural systems and rehabilitation engineering (01-11-2015)“…Distracted driving might lead to many catastrophic consequences. Developing a countermeasure to track drivers' focus of attention (FOA) and engagement of…”
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A Low-Noise Area-Efficient Chopped VCO-Based CTDSM for Sensor Applications in 40-nm CMOS
Published in IEEE journal of solid-state circuits (01-10-2017)“…An area-efficient voltage-sensing readout circuit employing chopped voltage-controlled oscillator (VCO)-based continuous-time delta-sigma modulator (CTDSM) is…”
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Revealing brain connectivity: graph embeddings for EEG representation learning and comparative analysis of structural and functional connectivity
Published in Frontiers in neuroscience (08-01-2024)“…This study employs deep learning techniques to present a compelling approach for modeling brain connectivity in EEG motor imagery classification through graph…”
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Motor-Imagery-Based Brain-Computer Interface Using Signal Derivation and Aggregation Functions
Published in IEEE transactions on cybernetics (01-08-2022)“…Brain-computer interface (BCI) technologies are popular methods of communication between the human brain and external devices. One of the most popular…”
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Comparative Study of Amide Proton Transfer‐Weighted Imaging and Intravoxel Incoherent Motion Imaging in Breast Cancer Diagnosis and Evaluation
Published in Journal of magnetic resonance imaging (01-10-2020)“…Background Amide proton transfer‐weighted imaging (APTWI) and intravoxel incoherent motion imaging (IVIM) are valuable MRI techniques applied to cancer…”
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Building Brand Community Relationships on Facebook Fan Pages: The Role of Perceived Interactivity
Published in International journal of electronic commerce (02-04-2020)“…Based on the stimulus-organism-response model, this research proposes a model that illustrates the effect of perceived interactivity on brand community…”
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Multiclass Fuzzy Time-Delay Common Spatio-Spectral Patterns With Fuzzy Information Theoretic Optimization for EEG-Based Regression Problems in Brain-Computer Interface (BCI)
Published in IEEE transactions on fuzzy systems (01-10-2019)“…Electroencephalogram (EEG) signals are one of the most widely used noninvasive signals in brain-computer interfaces. Large dimensional EEG recordings suffer…”
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Speech2EEG: Leveraging Pretrained Speech Model for EEG Signal Recognition
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2023)“…Identifying meaningful brain activities is critical in brain-computer interface (BCI) applications. Recently, an increasing number of neural network approaches…”
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Fuzzy Centered Explainable Network for Reinforcement Learning
Published in IEEE transactions on fuzzy systems (01-01-2024)“…The Explainability of reinforcement learning (RL) models has received vast amount of interest as its applications have widened. Most existing explainable RL…”
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A Connectivity-Aware Graph Neural Network for Real-Time Drowsiness Classification
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2024)“…Drowsy driving is one of the primary causes of driving fatalities. Electroencephalography (EEG), a method for detecting drowsiness directly from brain…”
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Improving EEG-Based Driver Distraction Classification Using Brain Connectivity Estimators
Published in Sensors (Basel, Switzerland) (01-08-2022)“…This paper discusses a novel approach to an EEG (electroencephalogram)-based driver distraction classification by using brain connectivity estimators as…”
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Differential contributions of G protein‐ or arrestin subtype‐mediated signalling underlie urocortin 3‐induced somatostatin secretion in pancreatic δ cells
Published in British journal of pharmacology (01-08-2024)“…Background and Purpose Pancreatic islets are modulated by cross‐talk among different cell types and paracrine signalling plays important roles in maintaining…”
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Modeling revenge and avoidance in the mobile service industry: moderation role of technology anxiety
Published in The Service industries journal (10-12-2021)“…This research investigates the impact of service failure severity on consumers' negative emotion (anger) and coping behaviors (revenge and avoidance) in the…”
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IoT-Based Wireless Polysomnography Intelligent System for Sleep Monitoring
Published in IEEE access (01-01-2018)“…Polysomnography (PSG) is considered the gold standard in the diagnosis of obstructive sleep apnea (OSA). The diagnosis of OSA requires an overnight sleep…”
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Interval-Valued Aggregation Functions Based on Moderate Deviations Applied to Motor-Imagery-Based Brain-Computer Interface
Published in IEEE transactions on fuzzy systems (01-07-2022)“…In this article, we develop moderate deviation functions to measure similarity and dissimilarity among a set of given interval-valued data to construct…”
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Predicting the outcomes of hepatocellular carcinoma downstaging with the use of clinical and radiomics features
Published in BMC cancer (12-09-2023)“…Abstract Background Downstaging of hepatocellular carcinoma (HCC) makes it possible for patients beyond the criteria to have the chance of liver…”
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The logo ‘visual thickness effect’: When and why it boosts brand personality
Published in Journal of consumer behaviour (01-03-2023)“…Although the literature suggests that logos impart symbolic meanings via visual elements that influence consumers' early evaluation of brands, few such…”
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