14 results on '"Zhuo Sun"'
Search Results
2. X-Chromosome Inactivation and Related Diseases
- Author
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Zhuo Sun, Jinbo Fan, and Yang Wang
- Subjects
Mammals ,X Chromosome ,Genes, X-Linked ,X Chromosome Inactivation ,Dosage Compensation, Genetic ,Genetics ,Animals ,Female ,General Medicine ,Aneuploidy - Abstract
X-chromosome inactivation (XCI) is the form of dosage compensation in mammalian female cells to balance X-linked gene expression levels of the two sexes. Many diseases are related to XCI due to inactivation escape and skewing, and the symptoms and severity of these diseases also largely depend on the status of XCI. They can be divided into 3 types: X-linked diseases, diseases that are affected by XCI escape, and X-chromosome aneuploidy. Here, we review representative diseases in terms of their definition, symptoms, and XCI’s role in the pathogenesis of these diseases.
- Published
- 2022
3. Random Forest Algorithm-Based Ultrasonic Image in the Diagnosis of Patients with Dry Eye Syndrome and Its Relationship with Tear Osmotic Pressure
- Author
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Lei Jiang, Shanshan Sun, Juan Chen, and Zhuo Sun
- Subjects
Adult ,Male ,genetic structures ,Article Subject ,Corneal Pachymetry ,General Immunology and Microbiology ,Applied Mathematics ,Decision Trees ,Computational Biology ,General Medicine ,Middle Aged ,Severity of Illness Index ,eye diseases ,General Biochemistry, Genetics and Molecular Biology ,Osmotic Pressure ,Tears ,Modeling and Simulation ,Humans ,Computer Simulation ,Dry Eye Syndromes ,Female ,sense organs ,Algorithms ,Ultrasonography - Abstract
The study was to investigate the diagnostic value of ultrasound based on the random forest segmentation algorithm for dry eye disease and the relationship between dry eye degree and tear osmotic pressure. Specifically, 100 patients with dry eye syndrome were selected as the research subjects, and they were divided into group A (conventional ultrasonic detection) and group B (ultrasonic detection based on the random forest segmentation algorithm), with 50 patients in each group. An ultrasonic measurement was used as the gold standard to evaluate the effect of ultrasonic diagnosis. The degree of dry eye was determined by Ocular Surface Disease Index (OSDI) Questionnaire and DR-1 tear film lipid layer (TFLL) test. The tear osmotic pressure was measured, and the relationship between the degree of dry eye disease and the tear osmotic pressure was analyzed. The results showed that the ultrasonic imaging effect and each index based on random forest algorithm were better than the traditional graph cut algorithm. The average central corneal thickness (CCT) values of group A and group B were ( 27.8 ± 30.6 ) μm and ( 29.1 ± 30.9 ) μm, respectively. 95% confidence interval was 22.7-34.2 μm. In patients with moderate dry eye, the average CCT measured in group A was ( − 6.31 ± 2.82 ) μm, and that in group B was ( − 6.45 ± 3.06 ) μm. The 95% confidence interval of the difference between the two is −7.66~−5.43 μm. In patients with severe dry eye, the average CCT was ( − 3.78 ± 1.13 ) μm in group A and ( − 7.09 ± 2.05 ) μm in group B ( P < 0.05 ). The 95% confidence interval of the difference between the two is −7.05~ −5.11 μm. In spearman correlation analysis, tear osmotic pressure increased with dry eye severity. There was a statistically significant difference between the moderate and the severe ( P < 0.05 ). Tear osmotic pressure can be a rapid diagnostic index of dry eye severity. Ultrasound based on the random forest segmentation algorithm has high clinical application value in the diagnosis of dry eye syndrome.
- Published
- 2022
4. Global Risk Assessment of the Occurrence of Bovine Lumpy Skin Disease: Based on an Ecological Niche Model.
- Author
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Qi An, Yue-peng Li, Zhuo Sun, Xiang Gao, and Hong-bin Wang
- Subjects
LUMPY skin disease ,ECOLOGICAL risk assessment ,ECOLOGICAL niche ,ECOLOGICAL models ,HEALTH of cattle ,AEDES aegypti - Abstract
Lumpy skin disease (LSD) is a highly contagious disease in bovine animals. An outbreak of LSD can cause devastating economic losses to the cattle industry. To investigate the distribution characteristics of historical LSD epidemics, LSD was divided into four phases for directional distribution analysis based on trends in epidemic prevalence. Ecological niche models were developed for LSD as well as for two vectors (Stomoxys calcitrans and Aedes aegypti), and global predictive maps were generated for the probability of LSD occurrence and the potential distribution of the two LSD vectors. The models had good predictive performance (the AUC values were 0.894 for the LSD model, 0.911 for the S. calcitrans model, and 0.950 for the A. aegypti model). The LSD combined vector prediction map was generated by combining the distribution maps of Stomoxys calcitrans and Aedes aegypti with fuzzy overlay tool in ArcGIS. The LSD combined vector prediction map was combined with the LSD prediction map to generate the LSD vector transmission risk map. The eastern and northwestern regions of North America, the eastern and northern regions of South America, the central and southern regions of Africa, the southern region of Europe, the northwestern and southeastern regions of Asia, and the eastern region of Australia were predicted to provide suitable environmental conditions for the occurrence of LSD. Cattle density, buffalo density, and bio2 (mean diurnal range) were identified as key variables for the occurrence of LSD. The fndings of this study can be useful to policymakers in developing and implementing preventive measures of LSD for the health of cattle and the cattle industry. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
5. Indirect Reconstruction of Structural Responses Based on Transmissibility Concept and Matrix Regularization
- Author
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Zhuo Sun, Chudong Pan, and Liwen Zhang
- Subjects
Optimization problem ,Article Subject ,Computer science ,Physics ,QC1-999 ,Mechanical Engineering ,Inverse problem ,Geotechnical Engineering and Engineering Geology ,Condensed Matter Physics ,Regularization (mathematics) ,Transmissibility (vibration) ,Matrix (mathematics) ,Mechanics of Materials ,Control theory ,Robustness (computer science) ,Penalty method ,Matrix regularization ,Civil and Structural Engineering - Abstract
A novel method is proposed based on the transmissibility concept and matrix regularization for indirectly measuring the structural responses. The inputs are some measured responses that are obtained via physical sensors. The outputs are the structural responses corresponding to some critical locations where no physical sensors are installed. Firstly, the transmissibility concept is introduced for expressing the relationship between the measured responses and the indirectly measured ones. Herein, a transmissibility matrix is formulated according to the theory of force identification under unknown initial conditions. Then, in order to reduce the size of the transmissibility matrix, structural responses are reshaped in a form of a matrix by using the concept of moving time windows. According to the matrix form of input-output relationship, indirect reconstruction of responses is boiled down to an optimization equation. Since inverse problem may be ill-conditioned, matrix regularization such as F-norm regularization is then recommended for improving the optimization problem. Herein, the penalty function is defined by using a weighted sum of two F-norm values, which correspond to the estimated responses of physical sensors and the ones of the concerned critical locations, respectively. Numerical simulations and experimental studies are finally carried out for verifying the effectiveness and feasibility of the proposed method. Some results show that the proposed method can be applied for indirectly measuring the responses with good robustness.
- Published
- 2021
6. The Performance Study on the Long-Span Bridge Involving the Wireless Sensor Network Technology in a Big Data Environment
- Author
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Liwen Zhang, Pu Wei, Chao Zhang, You Dong, and Zhuo Sun
- Subjects
Multidisciplinary ,Article Subject ,General Computer Science ,Artificial neural network ,Computer simulation ,Computer science ,Computer Science::Neural and Evolutionary Computation ,Particle swarm optimization ,020206 networking & telecommunications ,02 engineering and technology ,Traffic flow ,Bridge (interpersonal) ,lcsh:QA75.5-76.95 ,Vibration ,020303 mechanical engineering & transports ,0203 mechanical engineering ,Control theory ,Approximation error ,0202 electrical engineering, electronic engineering, information engineering ,lcsh:Electronic computers. Computer science ,Wireless sensor network - Abstract
The random traffic flow model which considers parameters of all the vehicles passing through the bridge, including arrival time, vehicle speed, vehicle type, vehicle weight, and horizontal position as well as the bridge deck roughness, is input into the vehicle-bridge coupling vibration program. In this way, vehicle-bridge coupling vibration responses with considering the random traffic flow can be numerically simulated. Experimental test is used to validate the numerical simulation, and they had the consistent changing trends. This result proves the reliability of the vehicle-bridge coupling model in this paper. However, the computational process of this method is complicated and proposes high requirements for computer performance and resources. Therefore, this paper considers using a more advanced intelligent method to predict vibration responses of the long-span bridge. The PSO-BP (particle swarm optimization-back propagation) neural network model is proposed to predict vibration responses of the long-span bridge. Predicted values and real values at each point basically have the consistent changing trends, and the maximum error is less than 10%. Hence, it is feasible to predict vibration responses of the long-span bridge using the PSO-BP neural network model. In order to verify advantages of the predicting model, it is compared with the BP neural network model and GA-BP neural network model. The PSO-BP neural network model converges to the set critical error after it is iterated to the 226th generation, while the other two neural network models are not converged. In addition, the relative error of predicted values using PSO-BP neural network is only 2.71%, which is obviously less than the predicted results of other two neural network models. We can find that the PSO-BP neural network model proposed by the paper in predicting vibration responses is highly efficient and accurate.
- Published
- 2018
7. Feature-Based Digital Modulation Recognition Using Compressive Sampling
- Author
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Xuantong Chen, Sese Wang, and Zhuo Sun
- Subjects
Article Subject ,Computer Networks and Communications ,Computer science ,business.industry ,Speech recognition ,020208 electrical & electronic engineering ,Spectrum (functional analysis) ,020206 networking & telecommunications ,Pattern recognition ,Keying ,TK5101-6720 ,02 engineering and technology ,Signal ,Computer Science Applications ,Identification (information) ,Compressed sensing ,Modulation ,Telecommunication ,0202 electrical engineering, electronic engineering, information engineering ,Feature (machine learning) ,Artificial intelligence ,business ,Quadrature amplitude modulation - Abstract
Compressive sensing theory can be applied to reconstruct the signal with far fewer measurements than what is usually considered necessary, while in many scenarios, such as spectrum detection and modulation recognition, we only expect to acquire useful characteristics rather than the original signals, where selecting the feature with sparsity becomes the main challenge. With the aim of digital modulation recognition, the paper mainly constructs two features which can be recovered directly from compressive samples. The two features are the spectrum of received data and its nonlinear transformation and the compositional feature of multiple high-order moments of the received data; both of them have desired sparsity required for reconstruction from subsamples. Recognition of multiple frequency shift keying, multiple phase shift keying, and multiple quadrature amplitude modulation are considered in our paper and implemented in a unified procedure. Simulation shows that the two identification features can work effectively in the digital modulation recognition, even at a relatively low signal-to-noise ratio.
- Published
- 2016
8. Field Emission Properties of the Graphene Double-Walled Carbon Nanotube Hybrid Films Prepared by Vacuum Filtration and Screen Printing
- Author
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Tao Feng, Yiwei Chen, Zhuo Sun, and Jinzhuo Xu
- Subjects
Materials science ,Article Subject ,Graphene ,business.industry ,Nanotechnology ,Carbon nanotube ,Electron ,law.invention ,Field electron emission ,Carbon film ,law ,lcsh:Technology (General) ,Screen printing ,lcsh:T1-995 ,Optoelectronics ,General Materials Science ,business ,Current density ,Electrical conductor - Abstract
The graphene double-walled carbon nanotube (DWCNT) hybrid films were prepared by vacuum filtration and screen printing. Their electron field emission properties have been studied systematically. The electron emission properties of the hybrid films are much better than those of pure DWCNT films and pure graphene films. Comparing with the screen printed films, the vacuum filtered films have many advantages, such as lower turn-on field, higher emission current density, better uniformity, better long-term stability, and stronger adhesive strength with conductive substrates. The optimized hybrid films with 20% weight ratio of graphene, which were fabricated by vacuum filtration, show the best electron emission performances with a low turn-on field of 0.50 Vμm−1(at 1 μAcm−2) and a high field enhancement factorβof 27000.
- Published
- 2013
9. Investigation of Cooperation Technologies in Heterogeneous Wireless Networks
- Author
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Zhuo Sun and Wenbo Wang
- Subjects
lcsh:Computer engineering. Computer hardware ,Article Subject ,Exploit ,Computer Networks and Communications ,Wireless network ,Computer science ,business.industry ,Distributed computing ,ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS ,lcsh:TK7885-7895 ,WiMAX ,lcsh:QA75.5-76.95 ,law.invention ,law ,Key (cryptography) ,Link layer ,Resource management ,lcsh:Electronic computers. Computer science ,Radio control ,Radio access ,business ,Information Systems ,Computer network - Abstract
Heterogeneous wireless networks based on varieties of radio access technologies (RATs) and standards will coexist in the future. In order to exploit this potential multiaccess gain, it is required that different RATs are managed in a cooperative fashion. This paper proposes two advanced functional architecture supporting the functionalities of interworking between WiMAX and 3GPP networks as a specific case: Radio Control Server- (RCS-) and Access Point- (AP-) based centralized architectures. The key technologies supporting the interworking are then investigated, including proposing the Generic Link Layer (GLL) and researching the multiradio resource management (MRRM) mechanisms. This paper elaborates on these topics, and the corresponding solutions are proposed with preliminary results.
- Published
- 2010
10. Electrical Removal Behavior of Carbon Nanotube and Carbon Nanofiber Film in CuCl2 Solution: Kinetics and Thermodynamics Study
- Author
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Chunyang Nie, Haibo Li, Yankun Zhan, Zhuo Sun, and Likun Pan
- Subjects
Materials science ,Article Subject ,Carbon nanofiber ,Langmuir adsorption model ,Thermodynamics ,Carbon nanotube ,law.invention ,lcsh:Chemistry ,symbols.namesake ,Adsorption ,Reaction rate constant ,Physisorption ,lcsh:QD1-999 ,law ,Monolayer ,Electrode ,symbols - Abstract
The kinetics, thermodynamics, and isotherms during electrical removal of Cu2+by carbon nanotube and carbon nanofiber (CNT-CNF) electrodes in CuCl2solution were studied under different solution temperatures, initial Cu2+concentrations, and applied voltages. The result shows that Langmuir isotherm can describe experimental data well, indicating monolayer adsorption, and higher Cu2+removal and rate constant are achieved at higher voltage, lower initial Cu2+concentration, and higher solution temperature. Meanwhile, the thermodynamics analyses indicate that the electrical removal of Cu2+onto CNT-CNF electrodes is mainly driven by a physisorption process.
- Published
- 2011
11. Feature-Based Digital Modulation Recognition Using Compressive Sampling.
- Author
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Zhuo Sun, Sese Wang, and Xuantong Chen
- Subjects
DIGITAL modulation ,FREQUENCY shift keying ,PHASE shift keying ,QUADRATURE amplitude modulation ,COGNITIVE radio ,COMPRESSED sensing - Abstract
Compressive sensing theory can be applied to reconstruct the signal with far fewer measurements than what is usually considered necessary, while in many scenarios, such as spectrum detection and modulation recognition, we only expect to acquire useful characteristics rather than the original signals, where selecting the feature with sparsity becomes the main challenge. With the aim of digital modulation recognition, the paper mainly constructs two features which can be recovered directly from compressive samples. The two features are the spectrum of received data and its nonlinear transformation and the compositional feature of multiple high-ordermoments of the received data; both of themhave desired sparsity required for reconstruction from subsamples. Recognition of multiple frequency shift keying, multiple phase shift keying, and multiple quadrature amplitude modulation are considered in our paper and implemented in a unified procedure. Simulation shows that the two identification features can work effectively in the digital modulation recognition, even at a relatively low signal-to-noise ratio. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
12. Field Emission Properties of the Graphene Double-Walled Carbon Nanotube Hybrid Films Prepared by Vacuum Filtration and Screen Printing.
- Author
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Jinzhuo Xu, Tao Feng, Yiwei Chen, and Zhuo Sun
- Subjects
FIELD emission ,GRAPHENE ,DOUBLE walled carbon nanotubes ,FILTERS & filtration ,SCREEN process printing ,THIN films - Abstract
The graphene double-walled carbon nanotube (DWCNT) hybrid films were prepared by vacuum filtration and screen printing. Their electron field emission properties have been studied systematically. The electron emission properties of the hybrid films are much better than those of pure DWCNT films and pure graphene films. Comparing with the screen printed films, the vacuum filtered films have many advantages, such as lower turn-on field, higher emission current density, better uniformity, better long term stability, and stronger adhesive strength with conductive substrates. The optimized hybrid films with 20% weight ratio of graphene, which were fabricated by vacuum filtration, show the best electron emission performances with a low turn-on field of 0.50V μm
-1 (at 1 μAcm-2 ) and a high field enhancement factor β of 27000. [ABSTRACT FROM AUTHOR]- Published
- 2013
- Full Text
- View/download PDF
13. Electrical Removal Behavior of Carbon Nanotube and Carbon Nanofiber Film in CuCl2 Solution: Kinetics and Thermodynamics Study.
- Author
-
Yankun Zhan, Chunyang Nie, Likun Pan, Haibo Li, and Zhuo Sun
- Abstract
The kinetics, thermodynamics, and isotherms during electrical removal of Cu
2+ by carbon nanotube and carbon nanofiber (CNTCNF) electrodes in CuCl2 solution were studied under different solution temperatures, initial Cu2+ concentrations, and applied voltages. The result shows that Langmuir isotherm can describe experimental data well, indicating monolayer adsorption, and higher Cu2+ removal and rate constant are achieved at higher voltage, lower initial Cu2+ concentration, and higher solution temperature. Meanwhile, the thermodynamics analyses indicate that the electrical removal of Cu2+ onto CNT-CNF electrodes is mainly driven by a physisorption process. [ABSTRACT FROM AUTHOR]- Published
- 2011
- Full Text
- View/download PDF
14. A Facile Method for Preparing Transparent, Conductive, and Paper-Like Silver Nanowire Films.
- Author
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Yajie Wang, Tao Feng, Kai Wang, Min Qian, Yiwei Chen, and Zhuo Sun
- Subjects
NANOWIRES ,ELECTRIC wire ,CELLULOSE ,POLYETHYLENE terephthalate ,MECHANICAL properties of metals - Abstract
Transparent, conductive, and flexible silver nanowire (AgNW) films have been fabricated by a facile two-step method. Firstly, the well-dispersed AgNW suspension is vacuum filtered using mixed esters of cellulose (MCE) membranes as filters. Then, the AgNW-MCE films are treated with acetone vapor. After the infiltration of acetone vapor, the white and porous MCE membranes change into transparent and pore-free, and AgNW-MCE films are obtained with extraordinary optical, conductive, and mechanical properties. An optimal result is obtained with transmittance of 85% at 550nm and sheet resistance about 50Ohm/sq.The flexibility of AgNW-MCE films is remarkable, which is comparable to that of the AgNW film on flexible polyethylene terephthalate (PET). More important, AgNW-MCE films show an excellent adhesion to the substrate, which causes a stable electrical conductivity even after scotch tape test and finger friction test. As a result of improved adhesion to the substrate, the sheet resistance of AgNW-MCE films is about 20% smaller than that of AgNW-PET films. [ABSTRACT FROM AUTHOR]
- Published
- 2011
- Full Text
- View/download PDF
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