影像叙述中的知青与农民婚 恋类型及文本差异探寻

刘云飞(Liu, Yunfei),黄献文(Huang, Xianwen) 國際言語文學會 2014 國際言語文學 Vol.- No.29

Electrical and Mechanical Properties of Epoxy Composites Reinforced with Kaolin-Coated Basalt Fibers

He-Chen Liu,Yu Sun,Mingjia Zhang,Yun-Peng Liu,Yunfei Yu,Hong Yu 한국섬유공학회 2023 Fibers and polymers Vol.24 No.1

Basalt fiber (BF) is appropriately used for manufacturing insulating rods because of its excellent aging resistance, hightemperature resistance, electrical insulation, and mechanical strength. However, due to the inert structure on the surface ofthe fiber, the close bonding between the fiber and the resin is hindered. The low bonding strength of the fiber/resin interfacewill significantly reduce the mechanical and insulation properties of the composite, which limits its application in electricalequipment such as insulating rods and insulators. Therefore, this paper attempts to improve the surface roughness of BF byusing Kaolin to strengthen the bonding strength between BF and matrix resin, and analyze and study the mechanical and insulationproperties of the composites before and after modification. The Kaolin content coated on BF ranged from 0.5 to 2 wt%,and the composites modified by 1.5wt%Kaolin (1.5-wt%-K-BFRP) exhibited excellent electrical insulation and mechanicalperformance. Compared with untreated BFRP, the electrical breakdown strength and flashover voltage of 1.5-wt%-K-BFRPincreased by 18.49% and 10.69%, elevated to the 20.57 kV/mm and 13.04 kV, respectively, and the dielectric loss decreasedby 49%, down to 0.83%. The above results indicate that modified BFRP has excellent insulation strength and is suitable forthe manufacture of insulating devices. Furthermore, the bending strength, bending modulus, tensile strength, and interlayershear strength of 1.5-wt%-K-BFRP increased by 67.59%, 21%, 14.56%, and 103.7%, respectively, compared with untreatedBFRP, reach to 465.17 MPa, 31.49 GPa, 562.3 MPa, 26.44 MPa.

Histone Deacetylase-3 Modification of MicroRNA-31 Promotes Cell Proliferation and Aerobic Glycolysis in Breast Cancer and Is Predictive of Poor Prognosis

Yunfei Zhao,Jiao He,Ling Yang,Qichi Luo,Zhi Liu 한국유방암학회 2018 Journal of breast cancer Vol.21 No.2

Purpose: The incidence and mortality of breast cancer is increasing worldwide. There is a constant quest to understand the underlying molecular biology of breast cancer so as to plan better treatment options. The purpose of the current study was to characterize the expression of histone deacetylases-3 (HDAC3), a member of class I HDACs, and assess the clinical significance of HDAC3 in breast cancer. Methods: Quantitative real-time polymerase chain reaction, immunohistochemistry, and western blot analysis were used to examine messenger RNA and protein expression levels. The relationships between HDAC3 expression and clinicopathological variables were analyzed. MTT assays were used to detect cell proliferation. Glucose-uptake, lactate, adenosine triphosphate, and lactate dehydrogenase assays were employed to detect aerobic glycolysis. Chromatin immunoprecipitation was used to detect microRNA-31 (miR-31) promoter binding. Results: Our data revealed that HDAC3 was upregulated in breast cancer tissue compared with matched para-carcinoma tissues, and high levels of HDAC3 were positively correlated with advanced TNM stage and N stage of cancer. Furthermore, overexpression of HDAC3 promoted breast cancer cellproliferation and aerobic glycolysis. The functional involvement of HDAC3 was related in part to the repression of miR-31 transcription via decreased histone H3 acetylation at lysine K9 levels of the miR-31 promoter. Survival analysis revealed that the level of HDAC3 was an independent prognostic factor for breast cancer patients. Conclusion: Our findings revealed that HDAC3 served as an oncogene that could promote cell proliferation and aerobic glycolysis and was predictive of a poor prognosis in breast cancer. HDAC3 participated in the cell proliferation of breast cancer, which may prove to be a pivotal epigenetic target against this devastating disease.

Long Noncoding RNA Expression Profiling During the Neuronal Differentiation of Glial Precursor Cells from Rat Dorsal Root Ganglia

Yunfei Dai,Wei Ma,Tong Zhang,Jinwei Yang,Chenghao Zang,Kuangpin Liu,Xianbin Wang,Jiawei Wang,Zhen Wu,Xingkui Zhang,Chunyan Li,Junjun Li,Xiangpeng Wang,Jianhui Guo,Liyan Li 한국생물공학회 2020 Biotechnology and Bioprocess Engineering Vol.25 No.3

Long noncoding RNAs (lncRNAs) play important roles in the process of cell fate determination. However, their function and expression profiles have not yet been systematically investigated during the transdifferentiation of glial precursor cells derived from dorsal root ganglia (DRG) in the peripheral nervous system. Our results demonstrated significant differences in gene architecture and expression among the three transcript types (lncRNA, mRNA, and TUCP). Distinct differences in transcript length, exon number, and ORF length were identified between lncRNAs and mRNAs after comparative analysis of their structure and sequence conservation. We found that the upregulated lncRNAs outnumbered the downregulated lncRNAs in glial precursor cells cultured with proBDNF antiserum compared with the levels in glial precursor cells cultured without proBDNF antiserum. By a series of GO and KEGG analyses, we found that the effects of some lncRNAs on their target genes in cis were related to nerve growth factor-induced cell cycle, cell phenotype change, and neuronal differentiation. The qRT-PCR verification results of lncRNAs ENSRNOT00000091991, ENSRNOT00000087717, and LNC_000429 were mostly consistent with the sequencing results. The candidate lncRNAs may be associated with the neuronal transdifferentiation of glial precursor cells. Our study provides the first evidence for a remarkably diverse pattern of lncRNA expression during neuronal differentiation of glial precursor cells from rat DRG, and also provides a resource for lncRNA studies in the field of cell differentiation.

Low-frequency noise inside metro: contribution analysis and noise control treatment

Yunfei Zhang,Li Li,Zheng Bu,Cunzhen Liu 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.6

Low-frequency interior noise tends to tire passengers and affect their health, the wheel/rail vibration and rolling noise are crucial noise sources. For a metro vehicle, the wheel/rail vibration transmits to the car body through the primary and secondary suspensions, causes the car floor vibration, the wheel/rail rolling noise transmits to carriage. An original study tries to predict low-frequency interior noise and reveal the acoustic law of panel contribution and improve ride comfort combining a wheel/rail rolling noise model, a rigid-flexible vehicletrack coupled dynamic model and detailed car body structural/acoustic finite element models. The results show that, based on the acoustic transfer vector method, the critical element contribution areas to the low-frequency noise were found; after removing the impact of critical elements, the sound pressure level peak at 80 Hz and 110-200 Hz decreased. The thickness increase can improve sound insulation level, but change the lower natural frequency, improve the structure’s stiffness, suppress the amplitude of the transfer function. Based on element contribution analysis, the damping optimization method shows that the global SPL peak decreases by 4.3, 6.4, 7.8, 1.8, 3.5, and 5.2 dB (A,) respectively, from position 1 to 6.

A new fault diagnosis method based on convolutional neural network and compressive sensing

Yunfei Ma,Xisheng Jia,Huajun Bai,Guozeng Liu,Guanglong Wang,Chiming Guo,Shuangchuan Wang 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.11

Compressive sensing is an efficient machinery monitoring framework, which just needs to sample and store a small amount of observed signal. However, traditional reconstruction and fault detection methods cost great time and the accuracy is not satisfied. For this problem, a 1D convolutional neural network (CNN) is adopted here for fault diagnosis using the compressed signal. CNN replaces the reconstruction and fault detection processes and greatly improves the performance. Since the main information has been reserved in the compressed signal, the CNN is able to extract features from it automatically. The experiments on compressed gearbox signal demonstrated that CNN not only achieves better accuracy but also costs less time. The influencing factors of CNN have been discussed, and we compared the CNN with other classifiers. Moreover, the CNN model was also tested on bearing dataset from Case Western Reserve University. The proposed model achieves more than 90 % accuracy even for 50 % compressed signal.

Genome-Wide Analysis of the Thioredoxin Gene Family in Gossypium hirsutum L. and the Role of the Atypical Thioredoxin Gene GhTRXL3-2 in Flowering

Liu Hui,Li Yunfei,Huang Xianzhong 한국식물학회 2021 Journal of Plant Biology Vol.64 No.5

Thioredoxin (TRX) is a highly conserved low-molecular-weight protein and a ubiquitous antioxidant enzyme that plays key role in the regulation of plant growth and development. Here, using the whole-genome sequence, we performed a systematic analysis for the TRX gene family in upland cotton (Gossypium hirsutum L.) and analyzed their structural characteristics, evolution, and expression profiles during growth and development. At least 86 GhTRX members, 40 typical and 46 atypical, were identified in the cotton genome, and they were unevenly distributed on the 26 chromosomes. Conserved domains and phylogenic tree construction classified the typical TRX gene family into seven subfamilies and the atypical TRX into nine subfamilies. An evolutionary analysis revealed that the TRX gene family underwent purification selection during evolution. In addition, an RNA-Seq analysis showed that, during vegetative and reproductive development, the differences in transcript abundance levels and organ-specific expression patterns suggest functional diversity. Biochemical assays demonstrated that the atypical TRX protein GhTRXL3-2 interacted with the cotton FLOWERING LOCUS T protein GhFT. The overexpression of GhTRXL3-2 in Arabidopsis thaliana resulted in early flowering compared with control plants. Additionally, the silencing of GhTRXL3-2 in cotton delayed maturation, suggesting that it has important roles in cotton’s flowering regulation. These results help clarify the evolution of the TRX genes and elucidate their biological functions in cotton flowering regulation.

Visual Attention Servo Control for Task-specific Robotic Applications

Dong Liu,Ming Cong,Yu Du,Yunfei Zhang,Clarence W. de Silva 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.6

This paper proposes a visual attention servo control (VASC) method which uses the Gaussian mixture model (GMM) for task-specific applications of mobile robots. In particular, low dimensional bias feature template is obtained using GMM to get an efficient attention process. An image-based visual servo (IBVS) controller is used to search for a desired object in a scene through an attention system which forms a task-specific state representation of the environment. First, task definition and object representation in semantic memory (SM) are proposed, and bias feature template is obtained using GMM deduction for features from high dimension to low dimension. Second, the features intensity, color, size and orientation are extracted to build the feature set. Mean shift method is used to segment the visual scene into discrete proto-objects. Given a task-specific object, top-down bias attention is evaluated to generate the saliency map by combining with the bottom-up saliency-based attention. Third, a visual attention servo controller is developed to integrate the IBVS controller and the attention system for robotic cognitive control. A rule-based arbitrator is proposed to switch between the episodic memory (EM)-based controller and the IBVS controller depending on whether the robot obtains the desired attention point on the image. Finally, the proposed method is evaluated on task-specific object detection under different conditions and visual attention servo tasks. The obtained results validate the applicability and usefulness of the developed method for robotics.

Cdyl2-60aa encoded by CircCDYL2 accelerates cardiomyocyte death by blocking APAF1 ubiquitination in rats

Deng Yunfei,Zeng Xiaochen,Lv Yifei,Qian Zhiyuan,Guo Peijie,Liu Yi,Chen Shaoliang 생화학분자생물학회 2023 Experimental and molecular medicine Vol.55 No.-

The loss of cardiomyocytes (CMs) after myocardial infarction (MI) is widely acknowledged to initiate the development of heart failure (HF). Herein, we found that circCDYL2 (583 nt) derived from chromodomain Y-like 2 (Cdyl2) is significantly upregulated in vitro (oxygen-glucose deprivation (OGD)-treated CMs) and in vivo (failing heart post-MI) and can be translated into a polypeptide termed Cdyl2-60aa (~7 kDa) in the presence of internal ribosomal entry sites (IRES). Downregulation of circCDYL2 significantly decreased the loss of OGD-treated CMs or the infarcted area of the heart post-MI. Additionally, elevated circCDYL2 significantly accelerated CM apoptosis via Cdyl2-60aa. We then discovered that Cdyl2-60aa could stabilize protein apoptotic protease activating factor-1 (APAF1) and promote CM apoptosis; heat shock protein 70 (HSP70) mediated APAF1 degradation in CMs by ubiquitinating APAF1, which Cdyl2-60aa could competitively block. In conclusion, our work substantiated the claim that circCDYL2 could promote CM apoptosis via Cdyl2-60aa, which enhanced APAF1 stability by blocking its ubiquitination by HSP70, suggesting that it is a therapeutic target for HF post-MI in rats.

Back-Calculation Method of Rock Mass Pressure in a Shallow-Buried Super Large-Span Tunnel Using Upper-Bench CD Method

Yanbin Luo,Yunfei Wu,Jianxun Chen,Fangfang Dong,Weiwei Liu,Lijun Chen,Yao Li,Zhou Shi 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.1

Rock mass pressure has always been a research hotspot in the field of tunnel engineering, especially in the super large-span tunnel, which is characterized by flat section, large excavation span, and complex stress field. Based on the Letuan Tunnel (a bi-directional tunnel with eight traffic lanes) of Binlai expressway expansion project in Shandong Province, China, this paper focused on the calculation method of rock mass pressure and the evolution law of load release in the construction process of the super large-span tunnel excavated by upper-bench central diaphragm (CD) method. Based on field measured data of Letuan Tunnel, the deformation behavior of primary lining and the distribution state of rock mass pressure during the tunnel construction were analyzed. According to the bearing mode of supporting structure, the mechanical models of different construction stages were established. Then, the rock mass pressures in different construction stages were back-calculated using mechanical models and compared with the measured values, and the evolution law of load release during the tunnel construction was discussed. The study results show that the tunnel deformation and rock mass pressure were significantly affected by the construction process and support form, and the excavation span was the key factor affecting the stability of rock mass. For the shallow-buried super large-span tunnel constructed by upper-bench CD method, the primary support of upper bench was under eccentric pressure. The comparison between the back-calculated value and the field measured value indicated that they were similar, and the average relative error was 17.23%. According to the concept of load release coefficient proposed in this paper, the load release coefficient after the pilot tunnel ahead (Part I) excavation reached 63%, and the load release coefficient after the pilot tunnel behind excavation (Part II) was 37%, which means that the rock mass pressure of Part I is increased about 59% due to the excavation of Part II.