Sökresultat - Qian Chen

To satisfy the stringent accuracy requirement of maintenance for repeat ground-track (RGT) orbits, a differential algebra-based semi-analytical method is proposed for the orbit design and control while considering high-fidelity geopotential dynamics with the effects of realistic perturbations, inclu...

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Meaning-centered coping is regarded as an effective strategy for managing stress and preventing mental disorders. However, it remains unclear how it influences mental health by affecting both the self and social connection dimensions. This study investigated 856 college students through a questionna...

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Condition monitoring and fault diagnosis of the agricultural machinery are critical for ensuring the safety and stability of agricultural production processes. Timely detection of machinery failures, particularly in motor-driven systems, is essential to prevent unexpected shutdowns, maintain operati...

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In this paper, a statistical approach based on an adaptive parametric estimator is proposed for the three-dimensional (3-D) reconstruction of objects under photon-starved conditions. In photon counting integral imaging system, 3-D objects having small number of photons can be visualized by the prior...

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In this paper, we present a super resolution imaging method based on a dynamic single pixel camera. First, the proposed method obtains subhigh-resolution (HR) images with subpixel shifts by the dynamic single pixel camera. To achieve this purpose, the patterns on the digital micromirror device are s...

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In this paper, we present a deep learning method for single infrared image stripe noise removal. Our method is denoted as a deep convolutional neural network (CNN) that takes the noisy image as the input and outputs the clean image. The deep CNN consists of two components: 1) image denoising, substa...

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The growing integration of renewable energy sources (RESs) into modern power systems calls for enhanced flexibility and control mechanisms. Conventional demand response (DR) strategies, such as price-based and incentive-driven methods, often encounter challenges that limit their effectiveness. This...

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ABSTRACT Mitochondria, as the main site for aerobic respiration in cells, are indispensable participants in the reprogrammed metabolic activities of tumor cells. Mitochondrial ribosomal proteins (MRPs), essential components of the mitochondrial ribosome (mitoribosome), play a critical role in mainta...

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Polarimetric imaging techniques exploit the polarization characteristics of objects and, thus, can achieve a better discriminative performance. In this paper, an adaptive discrimination method based on the classification of depolarization Mueller matrix is proposed. According to the Mueller&#x20...

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The aim of this study was to investigate the effects of low-sodium composite salt on physicochemical and flavor properties of tea sausages during storage (28 days at 4 ℃). There were four treatments: control (CT, adding 3% NaCl of meat weight), direct salt reduction (DR, adding 2.5% NaCl of meat wei...

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This study investigated the effects of adding different proportions of yellow mealworm (Tenebrio molitor) pulp on the color and sensory properties of 3D-printed minced pork products. Also, the flavor characteristics of the products were analyzed using an electronic nose, an electronic tongue, and he...

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Geiger-mode avalanche photodiode (Gm-APD) offers 3D imaging lidar much better capability in terms of detection sensitivity. However, a range walk error (RWE) exists in Gm-APDs which refers to the fluctuation of the measured distance as a function of the intensity of echo pulses. In this paper, we pr...

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Stroke represents a significant public health burden, ranking as a leading cause of death and disability globally. The prevalence of stroke increases with age, with ischemic stroke accounting for nearly 87% of cases globally. The pathophysiology of stroke is characterized by neuronal injury, neuroin...

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In this paper, we propose a deep learning method for single infrared image optical noise removal. With a fully convolutional neural network, it is able to eliminate the optical noise in single infrared image. Our architecture consists of two networks: a denoising network and a conditional discrimina...

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Recent studies show that compressed sensing (CS) can recover sparse signal with much fewer measurements than traditional Nyquist theorem. From another point of view, it provides a new idea for super-resolution imaging, like the emergence of single pixel camera. However, traditional methods implement...

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Aim of the studyThis study aims to explore the therapeutic effects of Astragali Radix-Descurainiae Semen (AR-DS) on heart failure and elucidate the mechanisms behind its efficacy.Materials and methodsA rat model of heart failure was established and treated with various dosages of AR-DS decoction. Ca...

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Disposal of turbine blades exceeding service life has become one of the key issues in green energy and industry. This study investigated the influence of Recycled Turbine Blade Powder (RTBP) and Recycled Turbine Blade Fibres (RTBF) on the workability property, mechanical performance, and environment...

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ObjectiveTo investigate the association between the Composite Dietary Antioxidant Index (CDAI) and obesity defined by both BMI and waist circumference (WC).MethodsThis was a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) 2009–2018. Multivariable l...

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Our aim was to select the most suitable thawing and reheating methods for frozen prepared Monopterus albus. Four thawing methods (refrigerated, running water, microwave, and ultrasonic static water) were used to thaw frozen samples. Thawing time, moisture content, thawing loss, thiobarbituric acid r...

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BackgroundSepsis after cardiac surgery represents a severe perioperative complication with high incidence and mortality rates. While the cardioprotective benefits of β-blocker following cardiac surgery are widely recognized, their impact on sepsis development remains unclear. This study aims to inve...

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