33 results on '"Bo Zhang"'
Search Results
2. MCUR1 is a prognostic biomarker for ovarian cancer patients
- Author
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Liming Fan, Hong Ding, Hualiang Yang, and Bo Zhang
- Subjects
Oncology ,Cancer Research ,medicine.medical_specialty ,Poor prognosis ,endocrine system diseases ,Carcinoma, Ovarian Epithelial ,Mitochondrial Proteins ,Immune system ,Internal medicine ,Genetics ,medicine ,Humans ,Prognostic biomarker ,Immune cell infiltration ,Survival analysis ,Ovarian Neoplasms ,business.industry ,Membrane Proteins ,General Medicine ,Prognosis ,medicine.disease ,Immune checkpoint ,Potential biomarkers ,Female ,business ,Ovarian cancer - Abstract
PURPOSE: To propose MCUR1 gene as a potential biomarker for ovarian cancer prognosis. METHODS: The ovarian cancer patient specimen from TCGA database were analyzed using survival analysis. The immune cell infiltration ratio and checkpoints had also been investigated for different expression group of MCUR1. The function of MCUR1 as a ovarian cancer prognosis biomarker was verified in clinic. RESULTS: The low expression of MCUR1 was associated with the poor prognosis of ovarian cancer patients. The expressions of majority of immune cells and 6 checkpoints in low expression group of MCUR1 were significantly lower than that in high expression group of MCUR1 (P< 0.05). The MCUR1 could be utilized as a prognostic biomarker for ovarian cancer patients in clinic. CONCLUSION: This study has proposed a potential prognostic biomarker for ovarian cancer patients, which offers a beneficial reference for future ovarian cancer administration.
- Published
- 2022
3. Cleaning Time Prediction Method of Photovoltaic Power Station Based on Short-Term Environmental Change
- Author
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Ying Zhong, Bo Zhang, Li Zheng, Dantong Feng, and Xu Ji
- Abstract
In view of the cleaning problems of photovoltaic (PV) plants, existing studies focus on the optimization of cleaning frequency or cleaning period equivalent. However, few consider the possible influence of short-term weather changes on the optimal cleaning time in this period. This paper proposes a cleaning time prediction algorithm for PV plants. By predicting the comprehensive efficiency of the system, the peak sun power, and the peak sun hour, a recursive algorithm was used to calculate the difference between the expected power generation income and the cleaning cost under different cleaning time stamps, so as to determine the optimal cleaning time in a specific period. The proposed method was verified in outdoor PV plants. The comparison and analysis of the calculation results based on the measured data and predicted data show that the proposed method can accurately predict the optimal cleaning time, control the cleaning income, and provide an effective means and basis for the later operation and maintenance of PV plants.
- Published
- 2022
4. Facial expression recognition with fused handcraft features based on pixel difference local directional number pattern
- Author
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Bo Zhang, Ming Yu, Jianchun Wang, Yancong Zhou, Yan Wang, and Yanju Li
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Statistics and Probability ,021110 strategic, defence & security studies ,Pixel ,Computer science ,business.industry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,0211 other engineering and technologies ,General Engineering ,Pattern recognition ,02 engineering and technology ,Facial expression recognition ,Artificial Intelligence ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Artificial intelligence ,business - Abstract
Facial expression recognition (FER) has been an active research area in recent years, which plays a vital role in national security and human-computer interaction. Due to the lacking of sufficient expression features and facial images, it is challenging to automatically recognize facial expression with high accuracy. In this paper, we propose a fusion handcraft feature method to improve FER from images. Firstly, a new texture feature extraction method PD-LDN (Pixel Difference Local Directional Number pattern) is proposed, which can extract more local information, reduce noise disturbance and feature dimension. Secondly, the handcrafted features including PD-LDN texture features, geometric features, and BOVW (Bag of Visual Words) semantic features are connected in parallel to an improved autoencoder network for fusion. Finally, the fused features are input into the softmax classifier for recognizing facial expression. We conduct extensive experiments on JAFFE and CK+datasets. Our proposed method shows superior performance than the state-of-the-art approaches on recognizing facial expressions.
- Published
- 2021
5. A conformal symplectic multi-resolution time-domain method with ADE-PML
- Author
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Guanghua Wu, Bo Zhang, and Yawen Liu
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Physics ,Mechanical Engineering ,020206 networking & telecommunications ,Conformal map ,02 engineering and technology ,Condensed Matter Physics ,Topology ,Electronic, Optical and Magnetic Materials ,Mechanics of Materials ,Multi resolution ,0202 electrical engineering, electronic engineering, information engineering ,Time domain ,Electrical and Electronic Engineering ,Symplectic geometry - Abstract
In this paper, the conformal finite-difference time-domain (CFDTD) technique and the concept of effective dielectric constant are applied to symplectic multi-resolution time-domain (SMRTD) algorithm based on Daubechies scaling functions, resulting in a conformal SMRTD (C-SMRTD) method. Moreover, a novel implementation of perfect matched layer with auxiliary differential equation (ADE-PML) is presented for the SMRTD method. Numerical results of the radar cross section (RCS) of a dielectric sphere verify the effectiveness of the C-SMRTD method, which shows good agreement with the results derived by analytical methods. It is also shown that the accuracy of the C-SMRTD method has been significantly improved compared with the MRTD method with step approximation, and the proposed method has an advantage over CFDTD at saving the CPU time and memory. Furthermore, a vault-top tunnel model is established with the proposed method, and the characteristic of the field cross-section distribution of the electromagnetic pulse (EMP) propagation in the tunnel model is also presented and discussed.
- Published
- 2021
6. Research and implementation of the customer-oriented modern hotel management system using fuzzy analytic hiererchical process (FAHP)
- Author
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Bo Zhang and Qian Wang
- Subjects
Statistics and Probability ,Process management ,Artificial Intelligence ,Computer science ,Process (engineering) ,General Engineering ,Fuzzy logic ,Hotel management ,ComputingMilieux_MISCELLANEOUS - Abstract
Hotel industry, as the pillar industry of the tertiary industry, is developing at a rapid pace under the background of rapid economic growth and strong support for the tourism industry. At the same time, it also faces fierce competition at home and abroad. In the information age, more and more hotels choose informationalized management, in order to reflect the competitive advantage of the enterprise with better services, higher efficiency and lower costs. The current hotel management system has been widely used in all aspects of hotel management, integrating reception, backstage financial processing and material procurement functions in one, which basically meets the needs of the daily management of the hotel. With the advancement of the hotel information process, hotel business data also shows explosive growth. However, these data have not been effectively developed and used. This research proposes Fuzzy based Analytic Hierarchical Process (FAHP), which is utilized for considering user perception to access the making of decision. The business data processing of the management of hotels is limited to simple collection, storage, and statistics. The information obtained is superficial and regular, which cannot meet the current “customer-centered” marketing strategy of the hotel. This topic is based on the conventional hotel management system, using data mining technology to extract useful information from the existing hotel business data to establish customer segmentation model and support the decision layer to analyze the data from multi-angle and multi-level around the decision-making topic, so as to truly realize the “customer-centered” concept, improve hotel service level and improve the core competitiveness of enterprises.
- Published
- 2021
7. An efficient one-dimensional time-domain algorithm for obliquely incident plane wave in BOR-SMRTD
- Author
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Guohui Li, Yawen Liu, and Bo Zhang
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Physics ,Mechanical Engineering ,Mathematical analysis ,Plane wave ,020206 networking & telecommunications ,010103 numerical & computational mathematics ,02 engineering and technology ,Condensed Matter Physics ,01 natural sciences ,Electronic, Optical and Magnetic Materials ,Time domain algorithm ,Mechanics of Materials ,0202 electrical engineering, electronic engineering, information engineering ,0101 mathematics ,Electrical and Electronic Engineering - Abstract
In this paper, the concept of body of revolution (BOR) finite-difference time-domain method time-domain (BOR-FDTD) method is applied to symplectic multi-resolution time-domain (SMRTD) algorithm to propose a BOR-SMRTD method. In order to solve the problem that the obliquely incident pulse wave cannot be directly introduced into BOR-SMRTD method, an efficient one-dimensional time-domain algorithm for propagating obliquely incident pulse plane wave in BOR-SMRTD method is also proposed. The numerical results show that the proposed algorithm runs 51 times faster than the algorithm based on fast Fourier transform (FFT) completely. Moreover, the scattering problem of a perfect electric conductor (PEC) cylinder with finite length is calculated to verify the effectiveness of the algorithm. The surface current density distribution along a generatrix of the cylinder at a giving frequency was extracted, and the results are in good agreement with that obtained with the methods of moment (MoM) and BOR-FDTD. Finally, the radar cross section (RCS) of a PEC sphere was calculated, and the results agree well with the theoretical values.
- Published
- 2021
8. Therapeutic Effect of Local Injection of Autologous Platelet-Rich Plasma on Lateral Epicondylitis of Humerus
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Xiaolin Feng, Dakang Chen, Jie Zhang, and Bo Zhang
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medicine.medical_specialty ,medicine.anatomical_structure ,business.industry ,Epicondylitis ,Therapeutic effect ,medicine ,Humerus ,Autologous platelet ,Local injection ,medicine.disease ,business ,Surgery - Abstract
Research purposes: To explore the clinical effect of local injection of autologous platelet-rich plasma (platelet-rich plasma) for lateral epicondylitis of humerus. Research method: A total of 58 patients with lateral epicondylitis of the humerus who were treated in the orthopedics department of our hospital from January 2018 to December 2018 were selected and included in the study. Subjects were treated with local injection of autologous platelet-rich plasma. Before the treatment, at 1 week, 1 month and 3 months after the treatment, the subjects were evaluated with visual analogue scale (VAS) and Mayo elbow function score (MEPS) for pain and elbow function. Results: Compared with before treatment, VAS decreased and MEPS increased after treatment. The four indicators of MEPS—pain, activity, stability, and daily abilities were significantly improved. Conclusion: Local injection of autologous PRP in the treatment of lateral epicondylitis of the humerus can better relieve pain symptoms and improve elbow joint function.
- Published
- 2021
9. Clinical Application of Platelet-Rich Plasma Gel (PRP) in Trauma Wounds of Extremities
- Author
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Bo Zhang, Yuxia Wang, Jie Zhang, Xiaolin Feng, and Dakang Chen
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Pathology ,medicine.medical_specialty ,integumentary system ,business.industry ,Platelet-rich plasma ,medicine ,business - Abstract
Research purposes: Autologous platelet-rich plasma gel (Platelet-Rich Plasma, PRP) was prepared and used for transplantation for the treatment of traumatic trauma wounds of extremities. Explore platelet-rich plasma gel (PRP) to promote the healing of exposed bone and tendon wounds. Methods: Fifteen patients with extremity bone and tendon exposed wounds were treated with autologous platelet-rich plasma gel (PRP) transplantation to observe the wound healing rate and wound healing time. Results: Among the 15 patients, 8 cases healed directly, 7 cases had active granulation growth, and second-stage skin graft wound healing; the wound healing rate was 100%, and the average wound healing time was 36 days. Conclusion: Autologous platelet-rich plasma gel (PRP) transplantation for the treatment of traumatic trauma hard wounds of the extremities, can inhibit the bacterial growth of the wounds, effectively promote the repair of soft tissue defects and accelerate the healing of bone and tendon wounds of the extremities.
- Published
- 2021
10. Clinical application of fluoroscopic guided percutaneous antegrade ureteral stents placement for the treatment of malignant ureteral obstruction
- Author
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Yang Liu, Bo Zhang, Ketong Wu, Zhaofei Zeng, and Haiyang Lai
- Subjects
Adult ,Male ,medicine.medical_specialty ,Percutaneous ,Colorectal cancer ,Urinary system ,urologic and male genital diseases ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Neoplasms ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Clinical efficacy ,Electrical and Electronic Engineering ,Instrumentation ,Aged ,Nephrostomy, Percutaneous ,Retrospective Studies ,Aged, 80 and over ,Cervical cancer ,Radiation ,urogenital system ,business.industry ,Cancer ,Ureteral stents ,Middle Aged ,Condensed Matter Physics ,medicine.disease ,female genital diseases and pregnancy complications ,Surgery ,Treatment Outcome ,surgical procedures, operative ,Surgery, Computer-Assisted ,Fluoroscopy ,030220 oncology & carcinogenesis ,Female ,Stents ,Retrograde ureteral ,business ,Ureteral Obstruction - Abstract
Objective To investigate the clinical efficacy and safety of fluoroscopic guided percutaneous antegrade ureteral stents placement used for treatment of malignant ureteral obstruction. Methods Between April 2016 and March 2018, fluoroscopic guided percutaneous ureteral stents was performed in 25 patients, including 7 patients (28%) with bilateral obstruction. The most common cancer diagnoses were cervical cancer (28%), rectal cancer (24%) and colon cancer (16%) among these patients. Clinical data were retrospectively analyzed with respect to the efficacy, safety and outcome of this treatment method. Results Percutaneous antegrade placement of ureteral stents was performed in all cases, including 12 ureters that failed in the initial retrograde ureteral stents placement. The median stent patency time for the antegrade ureteral stents were 10.4 (95% CI: 8.3-12.6) months. The primary complications included mild flank pain and discomfort (44%), hematuria (44%), urinary tract infection (8%), bladder irritation symptoms (4%), and arterial bleeding (4%). Conclusion Fluoroscopic guided percutaneous ureteral stents placement is a safe, efficient procedure and has a high success rate in patients with malignant ureteral obstruction.
- Published
- 2019
11. Fault analysis and simulation of ground-fault accident on transformer in 500 kV AC/DC grids
- Author
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Rui Liu, Bo Zhang, Shao Hongbo, Jinjiao Kong, Jun Chen, Deng Wanting, Quanliang Cao, and Ping Lu
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Mechanics of Materials ,law ,Mechanical Engineering ,Fault analysis ,Electrical and Electronic Engineering ,Condensed Matter Physics ,Transformer ,Automotive engineering ,Geology ,Electronic, Optical and Magnetic Materials ,law.invention - Published
- 2019
12. Testing of a 100 kW oil-free high-speed permanent-magnet synchronous motor
- Author
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Haipeng Geng, Feng Sheng, Wenjie Cheng, Baisong Yang, Lie Yu, Kai Xia, and Bo Zhang
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Materials science ,Permanent magnet synchronous motor ,Mechanics of Materials ,Mechanical Engineering ,Electrical and Electronic Engineering ,Condensed Matter Physics ,Oil free ,Automotive engineering ,Electronic, Optical and Magnetic Materials - Published
- 2019
13. Precise marketing of precision marketing value chain process on the H group line based on big data
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B. Zhang and Bo Zhang
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Statistics and Probability ,Group (mathematics) ,Computer science ,business.industry ,05 social sciences ,Big data ,General Engineering ,Process (computing) ,02 engineering and technology ,Industrial engineering ,Precision marketing ,Chain (algebraic topology) ,Artificial Intelligence ,0502 economics and business ,Value (economics) ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Line (text file) ,business ,050212 sport, leisure & tourism - Published
- 2018
14. A fuzzy position controller for linear switched reluctance motor
- Author
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Xiaoyu Wu, Norbert C. Cheung, Li Qiu, Bo Zhang, Qianlong Li, and J. F. Pan
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010302 applied physics ,Disturbance (geology) ,Computer science ,Mechanical Engineering ,020208 electrical & electronic engineering ,PID controller ,02 engineering and technology ,Condensed Matter Physics ,01 natural sciences ,Fuzzy logic ,Switched reluctance motor ,Electronic, Optical and Magnetic Materials ,Mechanics of Materials ,Position (vector) ,Control theory ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Electrical and Electronic Engineering ,Position control - Published
- 2017
15. Toward robust activity recognition: Hierarchical classifier based on Gaussian Process
- Author
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Zhang Fuping, Guowei Teng, Jianming Wei, Zuolei Sun, Xiaomei Wang, and Bo Zhang
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Computer science ,02 engineering and technology ,Lower dimensional space ,Machine learning ,computer.software_genre ,Theoretical Computer Science ,Hierarchical classifier ,Activity recognition ,symbols.namesake ,Discriminative model ,Artificial Intelligence ,0202 electrical engineering, electronic engineering, information engineering ,Recognition algorithm ,Gaussian process ,business.industry ,020206 networking & telecommunications ,Pattern recognition ,Support vector machine ,ComputingMethodologies_PATTERNRECOGNITION ,symbols ,020201 artificial intelligence & image processing ,Computer Vision and Pattern Recognition ,Artificial intelligence ,business ,computer ,Classifier (UML) - Abstract
In this paper, we propose an algorithm for human activity recognition based on Gaussian Process Classifier (GPC). A hierarchical strategy is firstly applied to classify dynamic and static behaviors. Then, in each layer, three kinds of classification approaches are validated and evaluated for promoting recognition accuracy. Moreover, discriminative analysis method is invoked to cast high dimension features into lower dimensional space where classes are easily separated. Extensive experiments have been conducted and three vital points are observed: Firstly, GPC achieves comparable classification accuracy with other classifiers under the same experimental condition. Secondly, in case of less training samples, GPC outperforms the prominent Support Vector Machine (SVM) classifier. Thirdly, unlike SVM, GPC is more robust to the high dimensional features. Furthermore, we successfully implement the presented recognition algorithm into our hardware platform and achieve 99.75% accuracy on average in dealing with four sample activities.
- Published
- 2016
16. Overexpression of AKR1B10 in nasopharyngeal carcinoma as a potential biomarker
- Author
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Deliang Cao, Chenfei Huang, Huai Tao, Fang-Qing Tang, Yi Shen, Fang-guo Lu, Bo Zhang, Yu Cao, Duan-Fang Liao, Yingchun He, Dao-fa Tian, Fangliang Zhou, Lan Song, Li-Mei Lin, and Lan He
- Subjects
Adult ,Male ,0301 basic medicine ,Cancer Research ,Pathology ,medicine.medical_specialty ,Adolescent ,Adenoid cystic carcinoma ,Aldo-Keto Reductases ,Gene Expression ,Young Adult ,03 medical and health sciences ,Aldehyde Reductase ,Biomarkers, Tumor ,Genetics ,Humans ,Medicine ,Basal cell carcinoma ,Aged ,Neoplasm Staging ,Aged, 80 and over ,Nasopharyngeal Carcinoma ,Tissue microarray ,business.industry ,Carcinoma ,Nasopharyngeal Neoplasms ,General Medicine ,Middle Aged ,Hyperplasia ,medicine.disease ,Immunohistochemistry ,030104 developmental biology ,Oncology ,Nasopharyngeal carcinoma ,Adenocarcinoma ,Biomarker (medicine) ,Female ,Neoplasm Grading ,business - Abstract
Background Nasopharyngeal carcinoma (NPC) is one of the most common cancers in Southern China. Aldo-keto reductase 1B10 (AKR1B10) is upregulated in multiple tumors and plays an oncogenic role. Objective To examine the expression of AKR1B10 at mRNA and protein levels in nasopharyngeal tumors and correlate its expression with clinicopathological parameters. Methods A tissue microarray, paraffin blocks, and frozen surgical nasopharyngeal samples were procured. Western blot and immunohistochemistry were used to estimate AKR1B10 protein expression, and mRNA levels were detected by real time RT-PCR. Results We found that AKR1B10 expression was increased in malignant tissues compared to the normal tissues (p= 0.000). In NPC tissues, AKR1B10 expression appeared high specifically in squamous cell carcinoma, but low in basal cell carcinoma, adenoid cystic carcinoma, adenocarcinoma and undifferentiated carcinoma (p= 0.000). AKR1B10 expression also demonstrated correlation with tumor differentiation, with a high level in well and moderately differentiated but a low level in poorly differentiated carcinoma (p= 0.000). AKR1B10 was also upregulated in hyperplasia and benign tumors (p= 0.000), and demonstrated a specific nuclear distribution in these non-cancerous diseases. Conclusions AKR1B10 is overexpressed in nasopharyngeal hyperplasia, benign tumors, and carcinomas, being a potential new biomarker.
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- 2016
17. Field analysis of a sinusoidal-edged Halbach magnet array using the differential quadrature finite element method
- Author
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Jun-Wei Chen, Han Ding, Ye Ding, and Bo Zhang
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010302 applied physics ,Physics ,Mechanical Engineering ,020208 electrical & electronic engineering ,Mathematical analysis ,02 engineering and technology ,Field analysis ,Condensed Matter Physics ,01 natural sciences ,Finite element method ,Electronic, Optical and Magnetic Materials ,Quadrature (astronomy) ,Nuclear magnetic resonance ,Mechanics of Materials ,Magnet ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Electrical and Electronic Engineering - Published
- 2016
18. Long non-coding RNA DANCR, a prognostic indicator, promotes cell growth and tumorigenicity in gastric cancer
- Author
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Dong-Bo Zhang, Yan-Ping Hao, Cheng-Gong Yu, and Jing-Hui Qiu
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Adult ,Male ,0301 basic medicine ,Kaplan-Meier Estimate ,Biology ,03 medical and health sciences ,0302 clinical medicine ,Downregulation and upregulation ,Stomach Neoplasms ,Cell Line, Tumor ,Gene expression ,Biomarkers, Tumor ,medicine ,Humans ,Gene silencing ,RC254-282 ,Aged ,Cell Proliferation ,Cell growth ,Cell Cycle ,RNA ,Cancer ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,General Medicine ,Middle Aged ,Prognosis ,medicine.disease ,Molecular biology ,Long non-coding RNA ,In vitro ,Gene Expression Regulation, Neoplastic ,030104 developmental biology ,030220 oncology & carcinogenesis ,Cancer research ,Female ,RNA, Long Noncoding - Abstract
Gastric cancer remains the third leading cause of cancer-related mortality worldwide, and proliferation of gastric cancer represents the major reason for its poor prognosis. Recent evidence indicates that long non-coding RNAs play crucial roles in development and progression of gastric cancer. Long non-coding RNA differentiation antagonizing non-protein coding RNA is upregulated in hepatic cell carcinoma, but the role of lncRNA differentiation antagonizing non-protein coding RNA in gastric cancer has not been explored. In this article, we found that differentiation antagonizing non-protein coding RNA is also upregulated in gastric cancer. Experiments revealed that silencing differentiation antagonizing non-protein coding RNA significantly inhibited gastric cancer cell proliferation in vitro and in vivo. Overexpression of differentiation antagonizing non-protein coding RNA notably increases gastric cancer cell proliferation. From RNA-seq and gene ontology annotations, we found that differentiation antagonizing non-protein coding RNA influences the gene expression programs in cell metabolic and cycle process. Taken together, our findings suggest that the long non-coding RNA differentiation antagonizing non-protein coding RNA promotes the proliferation of gastric cancer and is a potential prognostic biomarker and therapeutic target in gastric cancer.
- Published
- 2017
19. A549 cell proliferation inhibited by RNAi mediated silencing of the Nrf2 gene
- Author
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Jing Zhong, Han-Yin Chen, Hongying Zhang, Wang Xiaoqin, Chen Xie, and Bo Zhang
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A549 cell ,Lung Neoplasms ,NF-E2-Related Factor 2 ,Biomedical Engineering ,General Medicine ,Transfection ,Glutathione ,respiratory system ,Biology ,respiratory tract diseases ,Cell biology ,Biomaterials ,Small hairpin RNA ,chemistry.chemical_compound ,chemistry ,RNA interference ,Carcinoma, Non-Small-Cell Lung ,Cell Line, Tumor ,Humans ,Gene silencing ,RNA Interference ,Efflux ,Drug metabolism ,Cell Proliferation - Abstract
Non-small-cell lung cancer (NSCLC), the most common type of lung cancers, is resistant to initial chemotherapy intrinsically. The expressions of xenobiotic metabolism genes, antioxidants, and drug efflux proteins are increased in NSCLC. In addition, a redox-sensitive transcription factor named Nrf2 regulates the drug resistance via the expression of electrophile, oxidants detoxification enzymes and efflux mechanism. As was detected by real-time PCR, inhibiting Nrf2 expression through the transfection of shRNA plasmids in A549 cells significantly inhibits the expressions of glutathione pathway genes, antioxidants and multidrug resistance proteins. Using biochemical assays and free radical medical experiments in vitro, it was identified that the RNAi-mediated reduction of Nrf2 expression in lung cancer cells induces the generation of reactive oxygen species, decreases the level of reduced glutathione and results in an increase in the A549 cell proliferation inhibition rate. Thus, targeting Nrf2 activity in NSCLC could be a practical way to inhibit tumor growth and eliminate chemoresistance.
- Published
- 2014
20. Landscape image recognition and analysis based on deep learning algorithm.
- Author
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Limei, Nong, Dongfan, Wu, and Bo, Zhang
- Abstract
Garden landscape is the combination of nature and humanity, with high aesthetic value, ecological value and cultural value, has become an important part of people’s life. Modern people have a higher pursuit for the spiritual food such as garden landscape after the material life is satisfied, which brings new challenges to the construction of urban garden landscape. As an advanced type of machine learning, deep learning applied to landscape image recognition can solve the problem of low quality and low efficiency of manual recognition. Based on this, this paper proposes a garden landscape image recognition algorithm based on SSD (Single Shot Multibox Detector), which realizes accurate extraction and recognition of image features by positioning the target, and can effectively improve the quality and efficiency of landscape image recognition. In order to test the feasibility of the algorithm proposed in this paper, experimental analysis was carried out in the CVPR 2023 landscape data set. The experimental results show that the algorithm has a high recognition accuracy for landscape images, and has excellent performance compared with traditional image recognition algorithms. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
21. 3-D nonlinear transient analysis and design of eddy current brake for high-speed trains
- Author
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Qiao Chen, Quanliang Cao, Bo Shuang, Tao Peng, Jun-Jie Ye, Kai Ji, Liang Li, and Bo Zhang
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Nonlinear system ,Materials science ,Mechanics of Materials ,Mechanical Engineering ,Train ,Mechanics ,Eddy current brake ,Electrical and Electronic Engineering ,Condensed Matter Physics ,Transient analysis ,Electronic, Optical and Magnetic Materials - Published
- 2012
22. Extraction of parasitic parameter and design of sub-harmonic mixer at 94 GHz
- Author
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Fuqun Zhong, Zhao Minghua, Yong Fan, Zhe Chen, and Bo Zhang
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Materials science ,Mechanics of Materials ,business.industry ,Mechanical Engineering ,Extraction (chemistry) ,Harmonic mixer ,Optoelectronics ,Electrical and Electronic Engineering ,Condensed Matter Physics ,business ,Electronic, Optical and Magnetic Materials - Published
- 2012
23. A fuzzy position controller for linear switched reluctance motor.
- Author
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Pan, J. F., Qianlong Li, Li Qiu, Norbert Cheung, Xiaoyu Wu, and Bo Zhang
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RELUCTANCE motors ,FUZZY control systems ,LINEAR systems ,AUTOMATIC control of reluctance motors ,PID controllers - Abstract
A fuzzy position controller is employed for the linear switched reluctance motor. Performance comparison between the fuzzy controller and a proportional-differential (PD) controller is carried out. Under the PD controller, the absolute steady-state error is 44.5 ~211.5 μm under normal condition and 1157–1212 μm under sustained time-variant disturbance circumstance, respectively. The absolute steady-state error of 3 μm and 9 μm can be achieved under the fuzzy controller in the normal and sustained disturbed circumstance. Experimental results demonstrate that the position tracking performance from the proposed algorithm is superior to the conventional PD control strategy, both in normal circumstance and disturbance environment. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
24. Long non-coding RNA DANCR, a prognostic indicator, promotes cell growth and tumorigenicity in gastric cancer.
- Author
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Yan-Ping Hao, Jing-Hui Qiu, Dong-Bo Zhang, and Cheng-Gong Yu
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STOMACH cancer ,CANCER-related mortality ,CANCER cell proliferation ,CANCER prognosis ,LIVER cells - Abstract
Gastric cancer remains the third leading cause of cancer-related mortality worldwide, and proliferation of gastric cancer represents the major reason for its poor prognosis. Recent evidence indicates that long non-coding RNAs play crucial roles in development and progression of gastric cancer. Long non-coding RNA differentiation antagonizing non-protein coding RNA is upregulated in hepatic cell carcinoma, but the role of lncRNA differentiation antagonizing non-protein coding RNA in gastric cancer has not been explored. In this article, we found that differentiation antagonizing nonprotein coding RNA is also upregulated in gastric cancer. Experiments revealed that silencing differentiation antagonizing non-protein coding RNA significantly inhibited gastric cancer cell proliferation in vitro and in vivo. Overexpression of differentiation antagonizing non-protein coding RNA notably increases gastric cancer cell proliferation. From RNA-seq and gene ontology annotations, we found that differentiation antagonizing non-protein coding RNA influences the gene expression programs in cell metabolic and cycle process. Taken together, our findings suggest that the long non-coding RNA differentiation antagonizing non-protein coding RNA promotes the proliferation of gastric cancer and is a potential prognostic biomarker and therapeutic target in gastric cancer. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
25. Identification of Differentially Expressed Genes in Metastatic and Non-Metastatic Nasopharyngeal Carcinoma Cells by Suppression Subtractive Hybridization
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Hui Li, Lei Wang, Xu-Yu Yang, Chun-Jie Jiang, Hong-Bo Zhang, Caiping Ren, Ming Zhao, and Kai-Tai Yao
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reverse northern blot ,Cancer Research ,DNA, Complementary ,Sequence analysis ,Biology ,lcsh:RC254-282 ,Pathology and Forensic Medicine ,Nasopharyngeal carcinoma (NPC) ,Sequence Homology, Nucleic Acid ,Complementary DNA ,Tumor Cells, Cultured ,medicine ,Humans ,Genomic library ,RNA, Messenger ,Neoplasm Metastasis ,lcsh:QH573-671 ,Deoxyribonucleases, Type II Site-Specific ,Gene ,Gene Library ,tumor metastasis ,lcsh:Cytology ,Gene Expression Profiling ,Glyceraldehyde-3-Phosphate Dehydrogenases ,Nucleic Acid Hybridization ,Nasopharyngeal Neoplasms ,Sequence Analysis, DNA ,Cell Biology ,General Medicine ,suppression subtractive hybridization (SSH) ,Reverse northern blot ,medicine.disease ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Molecular biology ,Gene Expression Regulation, Neoplastic ,Gene expression profiling ,Nasopharyngeal carcinoma ,Suppression subtractive hybridization ,Molecular Medicine ,Other - Abstract
Background & Objective: Nasopharyngeal carcinoma (NPC) is an epithelial neoplasm with high occurrence rates in southern China. The disease often metastasizes to regional lymphnodes at a very early stage. Local recurrences and metastasis occur frequently in patients with NPC and are a leading cause of death, despite improvements on treatment modalities. The molecular mechanism underlying the metastasis of nasopharyngeal carcinoma remains poorly understood, however, and requires additional elucidation. The aim of this study was to explore possible NPC gene candidates that may play key roles in NPC metastasis. Methods: Subtractive suppression hybridization (SSH) was performed to isolate differentially expressed clones between the metastatic 5-8F and non-metastatic 6-10B nasopharyngeal carcinoma cell lines. Differentially expressed clones were screened and confirmed by reverse Northern blotting. The sequences of cDNA fragments were subsequently analyzed and compared to known sequences in Genbank. Results & Discussion: The SSH library contained thousands of positive clones. Random analysis of 300 clones by PCR demonstrated that 269 clones contained inserted fragments. Reverse Northern blot confirmed that 20 out of 192 clones examined were significantly up-regulated in the 5-8F cell line. Among these 20 clones, 16 were previously identified genes (flotilin-2, ezrin, pim-3, fli-1, mel, neugrin, znf216, ASB1, raly, UBE2A, keratin6A, TMED7, EIF3S9, FTL, two ribosomal proteins RPL21 and RPL16), two were predicted genes (c9orf74 and MDS006), and two sequences shared no homology with known genes listed in GenBank and may represent novel genes. The proposed functions of the genes identified in this study include cell signal transduction, cell survival, transcription regulation, cell mobility, protein synthesis, and DNA damage repair. Flotillin-2, fli-1, pim-3 and ezrin have previously been reported to be associated with tumor metastasis and progression. The remaining up-regulated genes identified in this study have not been reported to be markers of metastasis and may represent new candidates of NPC metastasis-related genes. The Results of this study may provide novel points of therapeutic intervention for NPC.
- Published
- 2005
- Full Text
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26. Design optimization of an arc-edged trapezoidal Halbach array in the linear permanent magnet actuator for precision engineering.
- Author
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Jun-Wei Chen, Bo Zhang, and Han Ding
- Subjects
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MATHEMATICAL optimization , *ANTENNA array design & construction , *PERMANENT magnets , *ELECTROMAGNETIC fields , *FOURIER series - Abstract
In this paper, an arc-edged trapezoidal Halbach PMlinear actuator for precision engineering is proposed. In this linear actuator, the Halbach PM array is utilized as a mover. To take into account the magnetic field distortion caused by the finitelength of the PMarray near the boundaries, a long-period Fourier series expansion is applied to calculate the field distribution of the PM array and the associated thrust. They are then validated by the finite element method and physical experiments. Finally, by a fitting-based local searching method, design optimization is implemented to achieve a small thrust ripple as well as a large mean thrust. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
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27. Toward robust activity recognition: Hierarchical classifier based on Gaussian Process.
- Author
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Xiaomei Wang, Bo Zhang, Fuping Zhang, Guowei Teng, Zuolei Sun, and Jianming Wei
- Subjects
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ALGORITHM research , *GAUSSIAN processes , *DYNAMICS , *MATHEMATICAL models , *SUPPORT vector machines , *STATISTICAL sampling - Abstract
In this paper, we propose an algorithm for human activity recognition based on Gaussian Process Classifier (GPC). A hierarchical strategy is firstly applied to classify dynamic and static behaviors. Then, in each layer, three kinds of classification approaches are validated and evaluated for promoting recognition accuracy. Moreover, discriminative analysis method is invoked to cast high dimension features into lower dimensional space where classes are easily separated. Extensive experiments have been conducted and three vital points are observed: Firstly, GPC achieves comparable classification accuracy with other classifiers under the same experimental condition. Secondly, in case of less training samples, GPC outperforms the prominent Support Vector Machine (SVM) classifier. Thirdly, unlike SVM, GPC is more robust to the high dimensional features. Furthermore, we successfully implement the presented recognition algorithm into our hardware platform and achieve 99.75% accuracy on average in dealing with four sample activities. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
28. Field analysis of a sinusoidal-edged Halbach magnet array using the differential quadrature finite element method.
- Author
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Junwei Chen, Bo Zhang, Ye Ding, and Han Ding
- Subjects
- *
MAGNETIC fields , *DIFFERENTIAL quadrature method , *FINITE element method , *HARMONIC distortion (Physics) , *PERMANENT magnets , *SUPERPOSITION principle (Physics) - Abstract
On the basis of the differential quadrature finite element method (DQFEM), this paper analyzes the field distribution of a new sinusoidal-edged Halbach magnet array in linear permanent-magnet actuators. By applying the proposed generalized blending function mapping from the irregular computational domain to the rectangular one, the magnetic field produced by a single sinusoidal-edged permanent magnet is solved. Then the magnetic field due to the magnet array is obtained by superposition. Numerical results show that the magnetic field obtained by the DQFEMis not only accurate in the middle part of the array, but also effective near the boundaries of the array. In addition, the sinusoidal-edged Halbach magnet array produces a larger flux density with a small harmonic distortion, compared with rectangular and trapezoidal ones. Finally, design optimization is implemented and optimal solutions are achieved to compromise between the amplitude of flux density and the harmonic distortion. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
29. Overexpression of AKR1B10 in nasopharyngeal carcinoma as a potential biomarker.
- Author
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Ying-Chun He, Yi Shen, Yu Cao, Fang-Qing Tang, Dao-Fa Tian, Chen-Fei Huang, Huai Tao, Fang-Liang Zhou, Bo Zhang, Lan Song, Lan He, Li-Mei Lin, Fang-Guo Lu, Duan-Fang Liao, and Deliang Cao
- Subjects
NASOPHARYNGITIS ,SQUAMOUS cell carcinoma ,HYPERPLASIA ,BIOMARKERS ,GENE expression ,WESTERN immunoblotting ,IMMUNOHISTOCHEMISTRY - Abstract
BACKGROUND: Nasopharyngeal carcinoma (NPC) is one of the most common cancers in Southern China. Aldo-keto reductase 1B10 (AKR1B10) is upregulated in multiple tumors and plays an oncogenic role. OBJECTIVE: To examine the expression of AKR1B10 at mRNA and protein levels in nasopharyngeal tumors and correlate its expression with clinicopathological parameters. METHODS: A tissue microarray, paraffin blocks, and frozen surgical nasopharyngeal samples were procured. Western blot and immunohistochemistry were used to estimate AKR1B10 protein expression, and mRNA levels were detected by real time RT-PCR. RESULTS: We found that AKR1B10 expression was increased in malignant tissues compared to the normal tissues (p = 0.000). In NPC tissues, AKR1B10 expression appeared high specifically in squamous cell carcinoma, but low in basal cell carcinoma, adenoid cystic carcinoma, adenocarcinoma and undifferentiated carcinoma (p = 0.000). AKR1B10 expression also demonstrated correlation with tumor differentiation, with a high level in well and moderately differentiated but a low level in poorly differentiated carcinoma (p = 0.000). AKR1B10 was also upregulated in hyperplasia and benign tumors (p = 0.000), and demonstrated a specific nuclear distribution in these non-cancerous diseases. CONCLUSIONS: AKR1B10 is overexpressed in nasopharyngeal hyperplasia, benign tumors, and carcinomas, being a potential new biomarker. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
30. Increased circulating CD14(+)HLA-DR-/low myeloid-derived suppressor cells are associated with poor prognosis in patients with small-cell lung cancer.
- Author
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Tian Tian, Xiaobin Gu, Bo Zhang, Yang Liu, Chao Yuan, Lijuan Shao, Yajun Guo, and Kexing Fan
- Subjects
SMALL cell lung cancer ,BRONCHIAL carcinoma ,SUPPRESSOR cells ,PROGNOSIS ,BIOMARKERS - Abstract
BACKGROUND: High expression of CD14(+)HLA-DR-/low myeloid-derived suppressor cells (MDSCs) is correlated with immunosuppressive activity in various cancers, however, no studies have shown a correlation of these immunosuppressive cells with clinical outcomes in small-cell lung cancer (SCLC) patients. OBJECTIVE: The purpose of the study was to investigate the number, frequency and clinical significance of CD14(+)HLADR-/ low MDSCs in SCLC patients. METHODS: The peripheral blood of 42 patients with SCLC and 37 healthy controls was analyzed by using flow cytometry. The relationships between the number and frequency of MDSCs, clinicopathological features and overall survival(OS) were analyzed. The prognostic value of MDSCs was tested by using univariate and multivariate analysis. RESULTS: Our results demonstrated that number and frequency of peripheral CD14(+)HLA-DR-/low MDSCs were significantly increased in SCLC patients than in controls (p < 0.0001 and p < 0.0001, respectively). The frequency of MDSCs correlated with tumor stage (p = 0.02), serum LDH levels (p = 0.001) and with the poorer OS (log-rank test, p = 0.017). Univariate and multivariate analyses suggested that frequency of CD14(+)HLA-DR-/low MDSCs as an independent biomarker for poor prognosis in SCLC patients during follow-up. Our study provides the first evidence that the frequency of CD14(+)HLA-DR-/low MDSCs negatively correlates with clinical outcomes in SCLC patients. CONCLUSIONS: The frequency of CD14(+)HLA-DR-/low MDSCs could be considered as a poor prognostic predictor in SCLC and the elimination of MDSCs during medical interventions may improve the prognosis of SCLC patients. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
31. A549 cell proliferation inhibited by RNAi mediated silencing of the Nrf2 gene.
- Author
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Bo Zhang, Chen Xie, Jing Zhong, Hanyin Chen, Hongying Zhang, and Xiaoqin Wang
- Subjects
- *
CELL proliferation , *GENE silencing , *RNA interference , *CANCER treatment , *NON-small-cell lung carcinoma , *DRUG resistance in cancer cells , *TRANSCRIPTION factors , *ELECTROPHILES , *PLASMIDS - Abstract
Non-small-cell lung cancer (NSCLC), the most common type of lung cancers, is resistant to initial chemotherapy intrinsically. The expressions of xenobiotic metabolism genes, antioxidants, and drug efflux proteins are increased in NSCLC. In addition, a redox-sensitive transcription factor named Nrf2 regulates the drug resistance via the expression of electrophile, oxidants detoxification enzymes and efflux mechanism. As was detected by real-time PCR, inhibiting Nrf2 expression through the transfection of shRNA plasmids in A549 cells significantly inhibits the expressions of glutathione pathway genes, antioxidants and multidrug resistance proteins. Using biochemical assays and free radical medical experiments in vitro, it was identified that the RNAi-mediated reduction of Nrf2 expression in lung cancer cells induces the generation of reactive oxygen species, decreases the level of reduced glutathione and results in an increase in the A549 cell proliferation inhibition rate. Thus, targeting Nrf2 activity in NSCLC could be a practical way to inhibit tumor growth and eliminate chemoresistance. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
32. Re-activation characteristics of preserved aerobic granular sludge.
- Author
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Li-li Zhang, Bo Zhang, Yu-feng Huang, and Wei-min Cai
- Subjects
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FACTORIES , *SLUDGE management , *WASTEWATER treatment , *SEWAGE purification , *INDUSTRIAL wastes , *WASTE management , *OXYGEN , *SEWAGE sludge , *WASTE treatment - Abstract
In some industrial plants, wastewater was intermittently or seasonally generated. There may be periods during which wastewater treatment facilities have to be set into an idle phase over several weeks. When wastewater was generated again, the activated sludge flocs may have disintegrated. In this experiment, re-activation characteristics of aerobic granular sludge starved for 2 months were investigated. Specific oxygen utilization rate (SOUR) was used as an indicator to evaluate the metabolic activity of the sludge. The results revealed that aerobic granular sludge could be stored up to two months without running the risk of losing the integrity of the granules and metabolic potentials. The apparent color of aerobic granules stored at room temperature gradually turned from brownish-yellowish to gray brown. They appeared brownish-yellowish again 2 weeks after re-activation. The velocity and strength of granules after 2-month idle period could be fully restored about 3 weeks after re-activation. Metabolic activity, however, dropped to 15.8 mg O_2/(g MLVSS·h) i.e. 74% reduction after 2 months of storage. After restarting the reactor, it took 2 weeks that SOUR of up to 48.5 mg O_2/(g MLVSS·h) was achieved. A stable effluent COD concentration of less than 150 mg/L was achieved during the re-activation process. [ABSTRACT FROM AUTHOR]
- Published
- 2005
33. The Quotient Space Theory of Problem Solving.
- Author
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Ling Zhang and Bo Zhang
- Subjects
- *
PROBLEM solving , *COMPUTER systems , *COMPUTATIONAL complexity , *FUZZY systems , *MATHEMATICS - Abstract
The paper introduces a framework of quotient space theory of problem solving. In the theory, a problem (or problem space) is represented as a triplet, including the universe, its structure and attributes. The problem spaces with different grain sizes can be represented by a set of quotient spaces. Given a problem, the construction of its quotient spaces is discussed. Based on the model, the computational complexity of hierarchical problem solving and the information combination are also dealt with. The model can also be extended to the fuzzy granular world. [ABSTRACT FROM AUTHOR]
- Published
- 2004
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