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Introduction
Publications
Publications (229)
As the COVID-19 epidemic ends in China, it is worth exploring the growth after experiencing the trauma of the epidemic. China has been managing the epidemic for a relatively long time compared to other countries. Many scholars have researched trauma and post-traumatic growth in groups such as doctors and patients. However, little attention has been...
Sliding mode triboelectric nanogenerators (S‐TENG) have been validated as a simple and efficient mechanical energy harvesting technology in low frequency for constructing self‐powered systems. However, the charge invalid transfer in the S‐TENG leads to its output energy loss, which has not been addressed by researchers in this field. Herein, a nove...
In this paper, an ultrasound beamforming method for plane wave (PW) imaging based on modified sidelobe blanking (MSLB) is proposed to improve image resolution and contrast ratio (CR). In this framework, PWs from various angles were designed to create main and auxiliary beamformer signals. Specifically, the PW signals from all angles were first cohe...
The triboelectric nanogenerator (TENG) has been considered a low-frequency mechanical energy collection and conversion device in the modern era. The reasonable stack structure of TENG is an effective method to boost its electric output performance within a limited space. Nevertheless, relying solely on the stacking structure, the TENG is unable to...
Purpose
Differentiating ischemic brain damage is critical for decision making in acute stroke treatment for better outcomes. We examined the sensitivity of amide proton transfer (APT) MRI, a pH‐weighted imaging technique, to achieve this differentiation.
Methods
In a rat stroke model, the ischemic core, oligemia, and the infarct‐growth region (IGR...
Monitoring sulfur hexafluoride (SF6) is vital in the electrical insulation sector, where it serves as a key insulator. SF6 decomposition, caused by operational wear or aging, releases hazardous gases such as SO2, SOF2, SO2F2, and H2S, raising safety concerns. However, the effectiveness of current nanoscale gas sensors is compromised by SF6’s protec...
The surge in China's higher education has notably expanded university access, but has paradoxically lessened some students' learning commitment. However, this educational expansion has inadvertently led to a decrease in the overall commitment to learning among certain university students. This study aims to explore the factors influencing universit...
Sliding mode triboelectric nanogenerator (S-TENG) is a highly efficient technology for harvesting environment mechanical energy due to its advantages of sustainable energy output and simple structure design. However, boosting output...
In ultrasound plane-wave imaging, the DAS beamformer, which is essentially a maximum likelihood estimator, is unable to utilize the a priori information of the signal, resulting in limited image quality, such as a wide main lobe and clutter artefacts. In this paper, based on the maximum a posteriori (MAP) framework, we present the iterative adaptiv...
Background:
Beamforming is vital for medical ultrasound imaging systems. The generalized sidelobe canceller (GSC) beamforming can improve the image quality of lateral resolution, but its performance improvement in contrast and robustness is limited.
Objective:
This paper proposes an improved generalized sidelobe canceller algorithm based on mult...
Purpose
pH enhanced (pHenh) CEST imaging combines the pH sensitivity from amide and guanidino signals, but the saturation parameters have not been optimized. We propose pHdual as a variant of pHenh that suppresses background signal variations, while enhancing pH sensitivity and potential for imaging ischemic brain injury of stroke.
Methods
Simulat...
This paper proposes an ensemble forecasting model for carbon market volatility with structural factors and non-structural Baidu search index. Firstly, wavelet analysis is introduced into carbon price denoising for obtaining carbon market volatility. Secondly, carbon market volatility forecasting is converted into a multi-class forecasting problem....
In this paper, an ultrasound imaging method combined with low-complexity adaptive beamformer (LCA) and improved multiphase apodization with cross-correlation (IMPAX) is proposed to improve image resolution and contrast with low hardware cost. Firstly, the delayed echo signal is apodized by the LCA to obtain a narrow mainlobe width echo signal and L...
Microstrip antenna as a kind of receiver front-end equipment of microwave energy transmission system, which plays an important role on the overall transmission efficiency of the system. Conventional solid metal antennas have poor mechanical properties and are susceptible to plastic deformation and cracks under external forces, which will degrade th...
Triboelectric–electromagnetic hybridized nanogenerator (TEHG) is confirmed as an effective energy harvesting for Internet of Things. However, it is still a great challenge to gain a high‐output triboelectric‐nanogenerator (TENG) and to perfectly combine TENG with electromagnetic generator (EMG). Herein, a TEHG composed of space confined multi‐layer...
M2-type polarization of tumor associated-macrophage (TAM) is involved in the malignancy of gastrointestinal stromal tumor (GIST) progression. ETS variant 1 (ETV1) has been previously validated to regulate GIST pathogenesis. Our study intended to explore the role and mechanism of ETV1 in mediating the M2-polarization of TAM in GIST progression. Firs...
In the maintenance of transmission lines, prompt detection and repair of electrical equipment faults can greatly reduce the losses of public property. Hence, the development of a highly sensitive detection device for transformer oil fault gases (H2, CH4, CO, and C2H2) is of significant importance. This study investigates the adsorption behavior and...
Triboelectric nanogenerator (TENG) is regarded as an effective strategy to convert environment mechanical energy into electricity to meet the distributed energy demand of large number of sensors in the Internet of Things (IoTs). Although TENG based on the coupling of triboelectrification and air-breakdown achieves a large direct current (DC) output...
Photovoltaic modules are long-term exposed outdoors, and the surfaces are easily covered by dust, which seriously affects the power generation efficiency and increases the workload of maintenance. An anti-reflective and superhydrophobic coating with excellent durable and self-cleaning properties was proposed to improve this problem. The prepared co...
The circular economy decouples economic activity from finite resource consumption, creating a resilient system that can tackle global challenges such as climate change, biodiversity loss, waste, and pollution. Nuclear energy has been designated as one of the primary concerns of energy sector modernization because it allows for significant reduction...
Crystalline silicon (c-Si) solar cells cannot make full use of solar energy at present, especially the short wavelength (300–500 nm) energy. Owing to the inherent problem, c-Si photovoltaic (PV) modules are still facing the trouble of low PV conversion efficiency. Applying spectral down-conversion (DC) materials to transform underutilized solar spe...
This paper aims at the imbalanced characteristics and proposes a novel evolutionary cost‐sensitive support vector machine (CSSVM) by integrating cost‐sensitive learning, support vector machine, and genetic algorithm for carbon price trend prediction. Firstly, carbon price trend prediction is converted into a binary‐class prediction problem for CSSV...
Energy systems around the world must take the opportunity to use low-carbon energy sources and technologies to reduce the global ecological footprint. While nuclear energy has always been very controversial, particularly among environmentalists, some have begun to recommend that nuclear energy be revisited as a source of clean energy to prevent cli...
Understanding the drivers and peaks of CO2 emissions at the provincial level plays a crucial role in achieving the goals of China's CO2 emissions peak by 2030. This research combines the spatial-temporal Logarithmic Mean Division Index with scenario analysis to empirically explore the drivers and peaks of CO2 emissions in 30 provinces in China duri...
Aiming at the limitations of carbon price point forecasting, we propose a novel integrated approach of binary empirical mode decomposition (BEMD), differential evolution (DE) algorithm, and extreme gradient boosting (XGB) for carbon price interval forecasting. Firstly, BEMD, which is suitable for interval time series, is introduced into decomposing...
In this paper, we propose a dual projection generalized sidelobe canceller (DPGSC) based on mixed subspace (MS) for ultrasound imaging, which aims to improve the speckle signal-noise-ratio (sSNR) and decrease the dark-region artifacts. A mixed signal subspace based on the correlation between the desired steering vector and the eigenvectors is const...
The use of household solid energy for cooking is a key factor of environmental health risk. China still has a large share of households relying on solid fuels as a primary source of energy. Clarifying the determinants that drive energy choice in China's households is fundamental to promote household energy transition. We integrate the least absolut...
To improve the image resolution of a portable real-time ultrasound imaging device, this paper proposes a beamformer with composite apodization windows based on Chebyshev polynomial. By introducing the Chebyshev window, the level of sidelobe can be flexibly controlled. The value of weighting changes according to the detection depth and ultrasound at...
Lysine acetyltransferase 7 (KAT7) was upregulated in gastric cancer (GC) patient tissues, and associated with poor prognosis and metastasis. However, its specific role in GC remains unclear. This study aimed to annotate the role of KAT7 in GC cells. The results showed that the overexpression of KAT7 promoted cell growth, migration, and invasion, wh...
Chemical-exchange spin-lock (CESL) MRI can map regional uptake and utilisation of glucose in the brain at high spatial resolution (i.e sub 0.2 mm3 voxels). We propose two quantitative kinetic models to describe glucose-induced changes in tissue R1ρ and apply them to glucoCESL MRI data acquired in tumour-bearing and healthy rats. When assuming gluco...
An effective and sustainable management of carbon market requires a systematic control of associated risks. In this study, we use the Meta-analysis to explore the driving forces of carbon market risk based on 144 estimates reported in 35 primary studies. Moreover, we capture the sources of heterogeneity via the Meta-regression analysis. The perspec...
Internal carbon pricing (ICP) has emerged as an increasingly popular tool for firms to cut emissions and combat climate change risks. We theorize the role of ICP by integrating legitimacy and stakeholder perspectives into dynamic capability theory. We argue that firms implement ICP to comply with stakeholders’ expectations, leading to corporate env...
Green innovation has attracted more attention all over the world under the background of resource shortage and environmental pollution. This study explores effects of environmental constraint target on green innovation efficiency by super efficiency slacks-based measure (SBM), panel Tobit and instrumental variables-two stage least square (IV-2SLS)...
This paper proposes a novel integrated approach combining structural vector autoregression model, impulse response function with event study to examine the overconfidence and overreaction in China’s carbon markets. The structural vector autoregression model and impulse response function are adopted to measure the overconfidence and the relationship...
The coherence factor (CF) can improve the image contrast and side lobe suppression ability of traditional delay and sum (DAS) beamformer. However, it always leads to dark-region artifacts. In this paper, in order to reduce the dark-region artifacts while maintaining the image resolution and contrast as much as possible, a truncated-composite-based...
Partial discharge (PD) detection is significant for insulation condition evaluation of electrical equipment. However, it often happens that the PD signals are submerged by interferences, which will cause the inaccurate detection results. In this paper, we propose a PD detection method based on double-density dual-tree complex wavelet transform (DD-...
Background
TRIM26 is an E3 ubiquitin ligase that has been shown to regulate tumor progression. However, the role of TRIM26 in gastric cancer (GC) remains unclear. The purpose of this study is to investigate the role and mechanism of TRIM26 in GC.
Methods
CCK-8 assay, wound healing assay and Transwell invasion assay were used to explore the specifi...
This paper applies the fixed effects and the difference-in-differences models to explore the impact of government subsidies on the innovation investment of new energy firms by the financial information of China's listed companies from 2007 to 2017. The empirical results demonstrate that the subsidy scale of new energy enterprises has an inverted U-...
Ethylene plays an important role in regulating the development and ripening of fruits, and ACS (1-aminocyclopropane-1-carboxylicacid synthase) is the key rate-limiting enzyme in ethylene biosynthesis pathway. However, identification and functional analysis of ACS gene family in non-climacteric citrus have never been reported. In the present study,...
This paper introduces a modified cross-sectional absolute deviation approach to measure the existence of herding behavior and herding asymmetry, and uses the runs test to measure the herding intensity in China's carbon markets. It is the first study to examine the existence of herding behavior in China's carbon markets. The empirical results show t...
Triboelectric nanogenerator (TENG) has proved an effective ambient mechanical energy collection and conversion technology for power supply to distributed sensors in internet of things. Rational stack of TENG units is a way to enhance its output performance in a limited space. However, the output does not linearly increase with the number of stack u...
The carbon trading scheme has been recognized as a cost-saving and effective way to promote carbon emission abatement. This paper constructs an intertemporal carbon market model considering product market and market power in the carbon market to explore the intertemporal permit allocation conditions of carbon market efficiency in the whole complian...
Compressed sensing theory is a new signal processing theory proposed for high-speed data acquisition and large-capacity data storage in recent years. The application of compressed sensing technology can solve the data acquisition problem in ultrasound hardware system. The construction of the measurement matrix is one of the key steps, and its perfo...
Due to the increasing of sampling frequency in synthetic aperture ultrasound imaging, huge data and high system implementation complexity will be caused by using Nyquist sampling. To solve this problem, compressed sensing (CS) is applied to synthetic aperture ultrasound imaging. As an important component of CS, the measurement matrix is not only th...
This study uses blind boxes as a consumption context to explore the relationship between self-gift and repurchase intention. The study divided the motivation of self-gift into four aspects: reward, enjoyment, celebration, and treatment. The study examined the influence of self-gift giving on repurchase intention. At the same time, the lifestyle is...
This paper proposes a novel empirical framework for inclusive growth estimation by extending the traditional Mincer model. Based on the 42126 observations from 1991-2015 obtained in the China Health and Nutrition Survey, this paper applies the ordinary least squares regression and generalized system method of moments estimation to explore the growt...
This paper aims to provide full supports for carbon market risk management and strengthen anti-risk capacity. We propose an assessment index system with 25 indices in terms of 10 dimensions from three levels of internal, external and interface risks. Furthermore, we propose an integrated model incorporating rough set and technique for order prefere...
Purpose
The study explored the association of waist circumference (WC) with the severity of cardiovascular diseases and hospital readmission of coronary artery disease (CAD) patients with normal body mass index (BMI).
Patients and Methods
213 female and 431 male normal-BMI CAD patients were enrolled and assigned in three groups based on their gend...
Unlike common financial markets, the European carbon market is a typically heterogeneous market, characterised by multiple timescales and affected by extreme events. The traditional value-at-risk (VaR) with single-timescale fails to deal with the multi-timescale characteristics and the effects of extreme events, which can result in the VaR overesti...
Background
Pathophysiologic mechanisms underlying cardiac structural and functional changes in obesity are complex and linked to adipocytokines released from pericardial adipose tissue (PAT) and cardiomyocyte apoptosis. Although leptin is involved in various pathological conditions, its role in paracrine action of pericardial adipose tissue on myoc...
For photovoltaic (PV) modules, dust accumulation is one of the reasons for the reduction of output power, while conventional cleaning is expensive and inefficient for large scale PV power plants. Therefore, the research of superhydrophobic self-cleaning thin film on PV modules is proposed in this paper. The preparation of superhydrophobic film comb...
As a kind of green and clean energy, solar energy has attracted more and more attention. Among them, the antifouling treatment on the surface of photovoltaic panels is the key to improve the photoelectric conversion efficiency. EP-POSS (epoxy resin-polyhedral oligomeric silsesquioxane) has good hydrophobicity and has potential application value in...
Significance
We identify AP-3–mediated targeting of flippase ATP8A1 to lamellar bodies, lysosome-related organelles that store pulmonary surfactant for secretion from alveolar epithelial cells. Genetic AP-3 loss in cultured alveolar epithelial cells and in the pearl mouse model causes ATP8A1 retention in early sorting and/or recycling endosomes and...
In order to enhance the adaptability of minimum variance (MV) algorithm to broadband ultrasound signals, a high-resolution MV beamforming algorithm based on optimal frequency-domain segmentation is proposed. By an improved time-frequency concentration criterion based on logarithmic window energy, the optimal window length of Short-time Fourier Tran...
For improving forecasting accuracy and trading performance, this paper proposes a new multi‐objective least squares support vector machine with mixture kernels to forecast asset prices. Firstly, a mixture kernel function is introduced into taking full use of global and local kernel functions, which is adaptively determined following a data‐driven p...
Objective
To investigate the relationship of one-hour postload plasma glucose (1-h PG) during the oral glucose tolerance test (OGTT) with the severity of coronary artery lesions and risk of one-year re-admission with adverse cardiovascular events in coronary heart disease (CHD) patients with normal glucose tolerance (NGT).
Design and method
266 co...
Epoxy resin–polyhedral oligomeric silsesquioxane (EP-POSS) has excellent mechanical properties and hydrophobic properties. In order to adapt for application in sensor and photovoltaic fields, graphene, nano-SiO2 and nano-ZnO were used to modify EP-POSS. FTIR was used to characterize changes on the surface structure after introducing nanoparticles....
In this paper, two techniques are used to experimentally improve the solar cells efficiency by coating the outer surface of the panels with oil and chlorophyll. Coating the outer glass of solar cell with small layer of oil improves the value of sunlight absorbed by panel and accordingly the efficiency of the panels dramatically increases due to hig...
Dust accumulation effects for the solar panels are adverse factors, which affect the efficiency, output power and current. The humidity increased the dust particles adhesion force on a surface which increased the hardness of removing dust. In this research after coating the PV modules, it has the hydrophobicity on the surface to make self-cleaning...
Hydrophobic films are widely used in aerospace, military weapons, high-rise building exterior glass, and non-destructive pipeline transportation due to their antifouling and self-cleaning properties. This paper details the successful preparation of hydrophobic epoxy caged sesquioxane (EP-POSS) via two steps of simple organic synthesis, along with s...
This study makes a comprehensive assessment of global energy poverty with an integrated approach. We generate an indicator system and assign weights by rough set and a large-scale survey. Absolute ideal solutions and virtual negative ideal solutions are used to improve the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS)....
With the increasing application of photovoltaic panels in the field of power generation, hydrophobic materials have gradually received attention from researchers. Because EP-POSS (epoxy-based silsesquioxane) has many excellent properties, such as transparency, hydrophobicity, flame retardancy and weather resistance, it may be widely used in photovo...
In this study, simple and feasible methods are used to increase the hydrophobicity of EP-POSS, that is, etching with concentrated hydrochloric acid and concentrated ammonia water, followed by modification with polytetrafluoroethylene and stearic acid. The principle of the study is to increase the hydrophobic angle of EP-POSS by immersion in concent...