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Article
Genome-wide identification and analysis of expression pattern of REVEILLE transcription factors in castor (Ricinus communis L.)
REVEILLE (RVEs) transcription factors play an important role in regulating circadian clock, plant growth and development, and stress responses. While RVEs have been identified in various plant species, compreh...
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Article
Genome-Wide Identification, Phylogenetic and Expression Pattern Analysis of Fatty Acid Desaturase Genes in Castor (Ricinus communis L.)
Fatty acid desaturase (FAD) plays a crucial role in plant growth, development, and stress response. The FADs have been identified and reported in diverse plants, but so far, the whole genome exploration and an...
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Article
Open AccessUnderstanding residents’ perspectives on cultural ecosystem service supply, demand and subjective well-being in rapidly urbanizing landscapes: a case study of peri-urban Shanghai
Cultural ecosystem services (CESs) play a critical role in maintaining and improving human well-being in rapidly urbanizing landscapes. Few empirical studies, however, have comprehensively identified and revea...
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Article
Visualization of electric fields and associated behavior in fish and other aquatic animals
In some fish lineages, evolution has led to unique sensory adaptations that provide information which is not available to terrestrial animals. These sensory systems include, among others, electroreception, whi...
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Article
Forensic identification of sudden cardiac death: a new approach combining metabolomics and machine learning
The determination of sudden cardiac death (SCD) is one of the difficult tasks in the forensic practice, especially in the absence of specific morphological changes in the autopsies and histological investigati...
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Article
Open AccessCorrection: Metabolic pathway analysis of hyperuricaemia patients with hyperlipidaemia based on high-throughput mass spectrometry: a case–control study
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Article
A novel method for determining postmortem interval based on the metabolomics of multiple organs combined with ensemble learning techniques
Determining postmortem interval (PMI) is one of the most challenging and essential endeavors in forensic science. Developments in PMI estimation can take advantage of machine learning techniques. Currently, ap...
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Article
Open AccessMetabolic pathway analysis of hyperuricaemia patients with hyperlipidaemia based on high-throughput mass spectrometry: a case‒control study
Both hyperuricaemia and hyperlipidaemia are common metabolic diseases that are closely related to each other, and both are independent risk factors for the development of a variety of diseases. HUA combined wi...
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Article
Soil macrofaunal communities develop a habitat-specific trophic structure dependent on the degree of degradation of alpine wetlands
The alpine wetlands in the Qinghai-Tibetan Plateau have degraded in recent decades. However, the response of the soil food web to the degradation is still unclear. Four habitats including a wet meadow (WM), a ...
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Chapter and Conference Paper
Deep Learning Algorithm Based Support Vector Machines
This paper proposes a new deep learning model which replaces the softmax activation function with support vector machines. To evaluate the performance of the model, we have completed a total of four sets of co...
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Article
Open AccessMitochondrial dysfunction induces radioresistance in colorectal cancer by activating [Ca2+]m-PDP1-PDH-histone acetylation retrograde signaling
Mitochondrial retrograde signaling (mito-RTG) triggered by mitochondrial dysfunction plays a potential role in regulating tumor metabolic reprogramming and cellular sensitivity to radiation. Our previous studi...
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Article
Open AccessIs polycystic ovary syndrome appropriately diagnosed by obstetricians and gynaecologists across China: a nationwide survey
To describe the diagnostic criteria used and their application accuracy in the practice of polycystic ovary syndrome (PCOS) caring among obstetricians and gynaecologists across China.
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Article
Open AccessComparison of MR-PWI quantitative and semi-quantitative parameters for the evaluation of liver fibrosis
To evaluate different stages of liver fibrosis in cynomolgus monkeys by comparing magnetic resonance-perfusion weighted imaging (MR-PWI) quantitative and semi-quantitative parameters, and confirm the best dete...
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Chapter and Conference Paper
0.8 GHz Low-Noise Amplifier Design
In a receiving system such as a base station, the receiver front end needs to place a low-noise amplifier (LNA), and its performance will directly affect the performance of the entire receiver. Generally, the ...
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Chapter and Conference Paper
Simulation of a Half-Duplex Protocol in a Meteor Radio Communication System to Estimate Message Delivery Time
This article is devoted to the analysis of the half-duplex protocol from the point of view of its applicability in the meteor radio channel of information transmission. The effectiveness of meteor radio commun...
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Article
MR image segmentation based on level set method
In this paper, a level set model combining probabilistic statistics for image segmentation is proposed. Through adding a single-point pixel distribution into the energy function, the step size of each iteratio...
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Chapter and Conference Paper
Study on the Dynamics of Gear Transmission System of High Speed Vehicle
Based on the parameters of a certain type of CRH, a rigid-flexible coupling dynamics model of railway vehicle is established. A flexible transmission system dynamics model is setup and it is included in the ve...
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Chapter and Conference Paper
Sensitivity of Energy Spectrum Shape and BER to Variation of Parameters Used in Constraint on Correlation Coefficient During FTN Pulse Optimization
Optimal signals, the shape of which is the result of solving an optimization problem, may provide high spectral efficiency without significant energy losses. The parameters of optimization constraints such as ...
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Chapter and Conference Paper
A Level Set Algorithm Based on Probabilistic Statistics for MR Image Segmentation
MR image segmentation is of great importance in medical image application. MR images have the characteristics of intensity inhomogeneities, strong background interference and blurred target area. These charact...
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Chapter and Conference Paper
Collaborative Error Propagation for Single Sample Face Recognition
Face recognition with single sample per person (SSPP) is a very challenging task because each class lacks sufficient training samples. To address this problem, this paper proposed a new face recognition method...
