204 results on '"Pengcheng Jiang"'
Search Results
52. Data Driven Congestion Trends Prediction of Urban Transportation.
- Author
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Rui Jia, Pengcheng Jiang, Lei Liu 0003, Lizhen Cui, and Yuliang Shi
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- 2018
- Full Text
- View/download PDF
53. The Construction of a Combined OBE-based Teaching Model
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Wei Chen, Pengcheng Jiang, Chuanqing Zhang, and Xiaoming Zhang
- Abstract
This paper proposes a teaching model based on the concept of outcome-based education (OBE). OBE is meant to be a student-centered learning model. Based on OBE, the characteristics of project-based learning (PBL) and lecture-based teaching approach are analyzed. Then, a combined teaching model is constructed based on Acharya’s research findings and PBL. This proposed model integrates PBL and lecture-based teaching approach to help achieve ideal learning outcomes. It enhances learners’ learning initiative and creativity while ensuring holistic and systematic learning outcomes.
- Published
- 2022
54. Fabrication and characterization of pyrolytic carbons from phenolic resin reinforced by SiC nanowires with chain-bead structures
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Pengcheng Jiang, Zhoufu Wang, Hao Liu, Yan Ma, Yulong Wang, Jiwei Niu, Hongxing Pang, and Xitang Wang
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Process Chemistry and Technology ,Materials Chemistry ,Ceramics and Composites ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials - Published
- 2022
55. Distribution vehicle +drone joint distribution path optimization based on K-means optimization genetic algorithm
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Tan Zhang, Pengcheng Jiang, Kai Sheng, and Xinyan Wang
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- 2023
56. Research on Fault Diagnosis Method Based on Improved CNN
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Hao, Hu, primary, Fuzhou, Feng, additional, Junzhen, Zhu, additional, Xun, Zhou, additional, Pengcheng, Jiang, additional, Feng, Jiang, additional, Jun, Xue, additional, Yazhi, Li, additional, and Guanghui, Sun, additional
- Published
- 2022
- Full Text
- View/download PDF
57. Design and Analysis of Lower Limb Rehabilitation Robot Based on Virtual Reality
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Xiaohua Shi, Yajing Wang, Ruifa Liu, Pengcheng Jiang, and Dejun Mu
- Published
- 2023
58. Handoff prediction for data caching in mobile Content Centric Network.
- Author
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Pengcheng Jiang, Yuehui Jin, Tan Yang, Joost Geurts, Yaning Liu, and Jean-Charles Point
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- 2013
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59. Design and Implementation of Portable Multi-Parameter Tele-Monitor Terminal Based on S3C2410a.
- Author
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Qinwu Zhou, Pengcheng Jiang, Zixiong Qu, Xiaoming Liu, and Xiaobo Zhang
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- 2009
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60. General features to enhance enzymatic activity of poly(ethylene terephthalate) hydrolysis
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Weidong Liu, Chun-Chi Chen, Rey-Ting Guo, Yingying Qu, Yu Yang, Du Niu, Longhai Dai, Lixin Ma, Jian Min, Pengcheng Jiang, Xian Li, Wei Zeng, Xu Han, Lilan Zhang, Jian-Wen Huang, Siyu Li, and Hebing Hu
- Subjects
chemistry.chemical_classification ,Ethylene ,biology ,Stereochemistry ,Process Chemistry and Technology ,Substrate (chemistry) ,Bioengineering ,biology.organism_classification ,medicine.disease_cause ,Biochemistry ,Catalysis ,Polyester ,Hydrolysis ,Residue (chemistry) ,chemistry.chemical_compound ,Enzyme ,chemistry ,medicine ,Ideonella sakaiensis ,Bacteria - Abstract
Poly(ethylene terephthalate) (PET) is the most abundant polyester plastic and a major contributor to plastic pollution. IsPETase, from the PET-assimilating bacterium Ideonella sakaiensis, is a unique PET-hydrolytic enzyme that shares high sequence identity to canonical cutinases, but shows substrate preference towards PET and exhibits higher PET-hydrolytic activity at ambient temperature. Structural analyses suggest that IsPETase harbours a substrate-binding residue, W185, with a wobbling conformation and a highly flexible W185-locating β6-β7 loop. Here, we show that these features result from the presence of S214 and I218 in IsPETase, whose equivalents are strictly His and Phe, respectively, in all other homologous enzymes. We found that mutating His/Phe residues to Ser/Ile could enhance the PET-hydrolytic activity of several IsPETase-like enzymes. In conclusion, the Ser/Ile mutations should provide an important strategy to improve the activity of potential PET-hydrolytic enzymes with properties that may be useful for various applications. In the face of global plastic pollution, enzymatic degradation of poly(ethylene terephthalate) (PET) has attracted much attention. Now, structural and biochemical studies reveal a minimal mutational strategy to increase the activity of PET-degrading enzymes, with potential evolutionary implications.
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- 2021
61. Green finance policy and labor demand
- Author
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Pengcheng Jiang and Hongli Jiang
- Subjects
Economics and Econometrics ,Finance - Published
- 2023
62. A Distributed Secret Sharing Method with QR Code Based on Information Hiding
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Pengcheng Jiang and Yu Xue
- Published
- 2021
63. PINK1-mediated mitophagy protects against hepatic ischemia/reperfusion injury by restraining NLRP3 inflammasome activation
- Author
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Pengcheng Jiang, Weiya Zhang, Ying Xu, Shouliang Zhang, Yan Zhu, Jiawei Lu, Gui Ma, Wenbo Zhang, and Yinbing Tang
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0301 basic medicine ,Inflammasomes ,ATG5 ,PINK1 ,Mitochondrion ,Biochemistry ,Parkin ,Mice ,03 medical and health sciences ,0302 clinical medicine ,Physiology (medical) ,NLR Family, Pyrin Domain-Containing 3 Protein ,Mitophagy ,medicine ,Animals ,integumentary system ,Chemistry ,Autophagy ,Inflammasome ,medicine.disease ,Cell biology ,Mice, Inbred C57BL ,030104 developmental biology ,Reperfusion Injury ,Protein Kinases ,Reperfusion injury ,030217 neurology & neurosurgery ,medicine.drug - Abstract
Activation of nucleotide-binding domain leucine-rich repeat containing family pyrin domain containing 3 (NLRP3) inflammasome in Kupffer cells (KCs) contributes significantly to hepatic ischemia/reperfusion (I/R) injury, while the mechanism of how NLRP3 inflammasome is regulated remains less well defined. Recent evidence has showed that mitophagy acts as a central player for maintaining mitochondrial homeostatis through elimination of damaged mitochondria, leading to the prevention of hyperinflammation triggered by NLRP3 activation. In this study, we aimed at investigating the potential role of PTEN-induced kinase 1 (PINK1)-mediated mitophagy in hepatic I/R injury. C57BL/6 mice subjected to partial warm hepatic I/R or primary KCs exposed to anoxia/reoxygenation (A/R) was used as in vivo or in vitro model, respectively. Mitophagy was measured by protein levels of PINK1, Parkin, LC3B-II, TOMM20 and p62. NLRP3, caspase-1 and IL-1β at mRNA and/or protein levels were used as indicators of inflammasome activation. Our results demonstrated remarkable hepatic inflammation and NLRP3 inflammasome activation during hepatic I/R, along with increased PINK1-mediated mitophagy. Notably, overexpression of PINK1 in vivo attenuated hepatic I/R injury, ROS production, NLRP3 activation and hepatic inflammation. In parallel, A/R challenge in vitro also triggered NLRP3 activation in KCs accompanied by increase in mitophagy. Enhanced mitophagy mediated by PINK1 overexpression further inhibited NLRP3 activation and reversed the KC-mediated inflammatory injury to hepatocytes. Kinase-dead mutation of PINK1 completely abolished the above protective effects by PINK1. Blocking of mitophagy/autophagy by silencing of PINK1/Parkin, ATG5, NDP52 or OPTN showed the totally opposite effects, respectively. Treatment with different autophagic inhibitors also consistently reversed the PINK1-mediated effects, suggesting that an intact PINK1-mediated mitophagy signaling was crucial for ablation of NLRP3 signaling in the presence of A/R. Together, these results support a critical role of PINK1-mediated mitophagy in mitochondrial quality control for KC activation and function in hepatic I/R.
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- 2020
64. Gear Fault Detection in a Planetary Gearbox Using Deep Belief Network
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Hao, Hu, primary, Fuzhou, Feng, additional, Feng, Jiang, additional, Xun, Zhou, additional, Junzhen, Zhu, additional, Jun, Xue, additional, Pengcheng, Jiang, additional, Yazhi, Li, additional, Yongchan, Qian, additional, Guanghui, Sun, additional, and Caishen, Chen, additional
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- 2022
- Full Text
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65. Identification structure of the mating‐type locus and distribution ofKabatiella zeaein China
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Nan Chen, Changguang Ma, Shuqin Xiao, Dandan Fu, Jiaying Sun, Shuping Zhang, Fen Wang, Kexin Liu, Chunsheng Xue, and Pengcheng Jiang
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Genetics ,Mating type ,Physiology ,Kabatiella zeae ,Locus (genetics) ,Plant Science ,Biology ,Agronomy and Crop Science - Published
- 2020
66. Genomic characterization of Chinese ovarian clear cell carcinoma identifies driver genes by whole exome sequencing
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Jun Ouyang, Weirong Fan, Xueli Zhang, Rong Zhang, Yuan Ren, Zhigang Zhang, Lining Cui, Tianjiao Luo, Fangliang Xing, Xuefeng Bai, Xin Xing, Huan Yi, Fengmian Wang, Cancan Zhang, Linyan Zhu, Qin Yang, Jianping Qiu, and Pengcheng Jiang
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Oncology ,0301 basic medicine ,Cancer Research ,ARID1A ,medicine.disease_cause ,0302 clinical medicine ,Tumor Cells, Cultured ,Exome sequencing ,Ovarian clear cell carcinomas ,Ovarian Neoplasms ,Medical record ,Middle Aged ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Prognosis ,Gene Expression Regulation, Neoplastic ,030220 oncology & carcinogenesis ,Clear cell carcinoma ,MAGEE1 ,Female ,KRAS ,Target sequencing ,Adult ,medicine.medical_specialty ,Original article ,Biology ,Malignancy ,lcsh:RC254-282 ,Chromatin remodeling ,03 medical and health sciences ,Asian People ,Internal medicine ,Exome Sequencing ,medicine ,Biomarkers, Tumor ,PTEN ,Humans ,PI3K/AKT/mTOR pathway ,Aged ,Retrospective Studies ,business.industry ,Whole exome sequencing ,Cancer ,Driver mutation ,medicine.disease ,030104 developmental biology ,Case-Control Studies ,Mutation ,Cancer research ,biology.protein ,business ,Biomedical sciences ,Adenocarcinoma, Clear Cell ,Follow-Up Studies - Abstract
Background: Little is known about the genetic alterations characteristic of ovarian clear cell carcinoma (OCCC). Our aim was to identify targetable genomic alterations in this type of cancer. Methods: Forty-two OCCC formalin-fixed, paraffin-embedded (FFPE) tissue samples were analyzed by whole-exome sequencing (WES), and 74 FFPE tissue samples underwent targeted sequencing (TS) to confirm the relevant driver mutations. Cell proliferation was assessed by cell counting kit-8 (CCK8) assays. Findings: In the 42 samples, ARID1A (64.3%) and PIK3CA (28.5%) were frequently mutated, as were PPP2R1A (11.9%), PTEN (7.1%) and KRAS (4.8%), which have been reported in previous OCCC studies. We also detected mutations in MUC4 (28.6%), MAGEE1 (19%), and ARID3A (16.7%); associations with these genes have not been previously reported. The functional protein-activated pathways were associated with proliferation and survival (including the PI3K/AKT, TP53, and ERBB2 pathways) in 83% of OCCCs and with chromatin remodeling in 71% of OCCCs. Patients with alterations in MAGEE1 (64% in the targeted sequencing cohort) had worse clinical outcomes (log-rank p < 0.05). A functional study revealed that two MAGEE1 mutants, one lacking two MAGE domains and the other containing two MAGE domains, significantly decreased the proliferative capacity of OCCC cells. Funding: We successfully identified novel genetic alterations in OCCC using whole-exome sequencing and targeted sequencing of OCCC patient samples and potential therapeutic targets for the treatment of this malignancy. Declaration of Interest: The authors declare no conflict of interest. Ethical Approval: The use of samples and medical records was approved by the research ethics committees of Shanghai University of Medicine & Health Sciences Affiliated with Sixth People’s Hospital South Campus (approval number: 2017-KY-01), Fujian Provincial Maternity and Children's Hospital (approval number: 2017049), Nanjing Medical University Affiliated with Changzhou Maternal and Child Health Care Hospital (approval number: 2017005), Nanjing Medical University Affiliated with Changzhou No. 2 People’s Hospital (approval number: 2016-017-01), and Nanjing Medical University Affiliated with Suzhou Municipal Hospital (approval number: L2017003).
- Published
- 2020
67. Fault Diagnosis of Gearbox in Multiple Conditions Based on Fine-Grained Classification CNN Algorithm
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Hua Cong, Pengcheng Jiang, Dongsheng Zhang, and Jing Wang
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Article Subject ,Basis (linear algebra) ,Orientation (computer vision) ,Computer science ,Physics ,QC1-999 ,Mechanical Engineering ,020208 electrical & electronic engineering ,Sample (statistics) ,02 engineering and technology ,Geotechnical Engineering and Engineering Geology ,Condensed Matter Physics ,Fault (power engineering) ,Convolutional neural network ,Dual (category theory) ,Set (abstract data type) ,Mechanics of Materials ,Sample size determination ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Algorithm ,Civil and Structural Engineering - Abstract
The use of the convolutional neural network for fault diagnosis has been a common method of research in recent years. Since this method can automatically extract fault features, it has played a good role in some research studies. However, this method has a clear drawback that the signals will be significantly affected by working conditions and sample size, and it is difficult to improve diagnostic accuracy by directly learning faults, regardless of working conditions. It is therefore a research orientation worthy of a diagnosis of high precision defect in various working conditions. In this article, using a fine-grained classification algorithm, the operating conditions of the object system are considered an approximate classification. A specific failure in different working conditions is considered a beautiful classification. Samples of different faults in different working conditions are learned uniformly and the common characteristics are extracted from the convolutional network so that different faults of different working conditions can simultaneously be identified on the basis of the entire sample. Experimental results show that the method effectively uses the set of samples of the working conditions of the variables to obtain the dual recognition of defects and specific working conditions and the accuracy of the recognition is significantly higher than the method of learning regardless of working conditions.
- Published
- 2020
68. The PI3K/mTOR dual inhibitor GSK458 potently impedes ovarian cancer tumorigenesis and metastasis
- Author
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Chao Wang, Yang Yu, Yangjiong Xiao, Yuhong Li, Rong Zhang, and Pengcheng Jiang
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0301 basic medicine ,Cancer Research ,Carcinogenesis ,Mice, Nude ,Carcinoma, Ovarian Epithelial ,medicine.disease_cause ,Metastasis ,Mice ,Phosphatidylinositol 3-Kinases ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Cell Line, Tumor ,medicine ,Animals ,Humans ,Protein Kinase Inhibitors ,Protein kinase B ,Cells, Cultured ,PI3K/AKT/mTOR pathway ,Cell Proliferation ,Phosphoinositide-3 Kinase Inhibitors ,Ovarian Neoplasms ,Sulfonamides ,Chemistry ,Cell growth ,TOR Serine-Threonine Kinases ,Cancer ,General Medicine ,medicine.disease ,Xenograft Model Antitumor Assays ,Pyridazines ,030104 developmental biology ,Oncology ,Paclitaxel ,030220 oncology & carcinogenesis ,Quinolines ,Cancer research ,Molecular Medicine ,Female ,Ovarian cancer - Abstract
The PI3K/AKT/mTOR pathway is one of the most highly activated cellular signaling pathways in advanced ovarian cancer. Although several PI3K/AKT/mTOR inhibitors have been developed to treat various types of cancer, the antitumor efficacy of many of these compounds against ovarian cancer has remained unclear. Here, we tested and compared a panel of 16 PI3K/AKT/mTOR inhibitors (XL765, Miltefosine, Rapamycin, CCI-779, RAD001, FK506, XL147, GSK2110183, IPI-145, GSK2141795, BYL719, GSK458, CAL-101, XL765 analogue SAR245409, Triciribine, and GDC0941) that have entered clinical trials for antitumor activity against ovarian cancer, as well as the front line drug, paclitaxel. Antitumor efficacy was measured in both ovarian cancer cell lines and patient-derived ovarian primary tumor cell lines in vitro and in vivo. We identified the PI3K/mTOR dual inhibitor GSK458 as a potent inhibitor of proliferation in all cell lines tested at half maximal inhibitory concentrations (IC50) of approximately 0.01-1 µM, a range tens to hundreds fold lower than that of the other PI3K/AKT/mTOR inhibitors tested. Additionally, GSK458 showed the highest inhibitory efficacy against ovarian cancer cell migration. GSK458 also inhibited tumor growth and metastasis in nude mice intraperitoneally engrafted with SKOV3 cells or a patient-derived tumor cell xenograft (PDCX). Importantly, the inhibitory efficiency of GSK458 on cell proliferation and migration both in vitro and in vivo was comparable to that of paclitaxel. Mechanistically, the anti-tumor activity of GSK458 was found to be associated with inactivation of AKT and mTOR, and induction of cell cycle arrest at the G0/G1 phase. Based on our results, we conclude that GSK458 may serve as an attractive candidate to treat ovarian cancer.
- Published
- 2020
69. High-efficiency ternary nonfullerene polymer solar cells with increased phase purity and reduced nonradiative energy loss
- Author
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Cai'e Zhang, Xinjun Xu, Qingxin Guo, Xiaobo Zhou, Yahui Liu, Zhishan Bo, Pengcheng Jiang, Wei Ma, Zheng Tang, and Haiqin Liu
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Materials science ,Organic solar cell ,Renewable Energy, Sustainability and the Environment ,business.industry ,Energy conversion efficiency ,Photovoltaic system ,02 engineering and technology ,General Chemistry ,Electroluminescence ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,Acceptor ,Polymer solar cell ,0104 chemical sciences ,Optoelectronics ,General Materials Science ,Quantum efficiency ,0210 nano-technology ,business ,Ternary operation - Abstract
In this work, we used a ternary blend strategy to improve the photovoltaic performance of organic solar cells (OSCs). PBDB-T:IDT-EDOT-based binary blend devices show a power conversion efficiency (PCE) of 9.93%, and the ternary devices with PC71BM as the third component exhibit a PCE of 12.07% with simultaneously enhanced Voc, Jsc and FF. The broadened absorption, optimized morphology and balanced charge carrier mobility of these devices are responsible for these improvements. The introduction of PC71BM can disperse the IDT-EDOT aggregates, enhance the phase purity, and increase the electroluminescence quantum efficiency (EQEEL). Furthermore, the performance of the ternary devices is not very sensitive to the weight ratio of the two acceptors. PCEs of over 11% are obtained even though the composition gradually varies from 1 : 1 : 0.2 to 1 : 0.4 : 0.8. Our results demonstrate that PC71BM is a highly promising second acceptor for the construction of high-efficiency ternary OSCs.
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- 2020
70. The functional roles of long noncoding RNA DANCR in Human Cancers
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Pengcheng Jiang, Min Fu, Xiudi Xiao, Liang Yin, Yuan Zhao, Lei Pan, and Xu Zhang
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0301 basic medicine ,Oncogene ,Colorectal cancer ,therapeutic target ,Cancer ,Review ,Biology ,medicine.disease_cause ,medicine.disease ,Long non-coding RNA ,Biomarker (cell) ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Breast cancer ,Oncology ,030220 oncology & carcinogenesis ,medicine ,Cancer research ,biomarker ,long noncoding RNA ,DANCR ,Carcinogenesis ,Lung cancer - Abstract
Long noncoding RNAs (lncRNAs) have been wildly explored in various cellular processes and their aberrant expression could lead to tumorigenesis, development and progression. Differentiation antagonizing non-protein coding RNA (DANCR), a well-known lncRNA that is aberrant expression in various tumors, including hepatocellular carcinoma, gastric cancer, colorectal cancer, breast cancer, lung cancer and glioma and so on, in which it functions as oncogene mainly, contributing to cancer development and progression. High expressed DANCR is correlated with poor prognosis. In the present review, we summarize recent progression concerning the role, potential clinical utilities and underlying molecular mechanisms of DANCR related to occurrence and development of multiple cancers.
- Published
- 2020
71. Nonconvex Wavelet Thresholding Total Variation Denoising Method for Planetary Gearbox Fault Diagnosis
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Fuzhou Feng, Hua Cong, Pengcheng Jiang, and Yong Chang
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General Computer Science ,Computer science ,Augmented Lagrangian method ,Noise reduction ,020208 electrical & electronic engineering ,General Engineering ,wavelet thresholding ,020206 networking & telecommunications ,02 engineering and technology ,Total variation denoising ,fault diagnosis ,Regularization (mathematics) ,Basis pursuit denoising ,Wavelet ,nonconvex regularization ,total variation ,Planetary gearbox ,Regularization (physics) ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,Penalty method ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,Algorithm ,lcsh:TK1-9971 ,Shrinkage - Abstract
The vibration-based analysis is an effective technique for planetary gearbox fault diagnosis, but a difficult task is how to accurately identify fault features from noisy vibration signals. In this paper, a nonconvex wavelet thresholding total variation (WATV) denoising method is proposed for planetary gearbox fault diagnosis, which combines wavelet-domain sparsity and total variation (TV) regularization. The TV regularization algorithm is employed to modify the retained wavelet coefficients so that the occurrence of oscillations caused by wavelet thresholding is suppressed. To overcome the underestimation shortcoming of L1-norm regularization, nonconvex penalty function regularization is used to strongly promote the sparsity of estimation while guaranteeing that the global optimal solutions are obtained even though the objective function is nonconvex. Then, the split augmented Lagrangian shrinkage (SALSA) method is developed to solve the nonconvex WATV denoising problem. Two experimental studies are performed to verify the performance and effectiveness of the proposed method. Comparisons with the soft thresholding and basis pursuit denoising (BPD) methods show that the proposed method can accurately estimate the fault features from vibration signals, which means that the proposed method is an effective and promising tool for planetary gearbox fault diagnosis.
- Published
- 2020
72. Can E-Commerce Development Promote Green Technology Innovation? A Quasi-Natural Experiment Based on China's E-Commerce Demonstration Cities Policy
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Chunyu Dong, Na Lu, Pengcheng Jiang, Hongli Jiang, and Weidong Wang
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History ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2022
73. Analysis of the bearing behaviour of a screw-pile foundation in silt soil
- Author
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Pengcheng Jiang, Wang Xu, and Yanjie Zhang
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Bearing (mechanical) ,Mechanics of Materials ,law ,Foundation (engineering) ,Soil Science ,Geotechnical engineering ,Building and Construction ,Silt ,Geotechnical Engineering and Engineering Geology ,Pile ,Geology ,law.invention - Abstract
Screw-pile composite foundations have been widely implemented on multiple high-speed railways in China. Their distinctive design with variable sections makes the bearing behaviour of screw piles far more complex than that of common smooth piles. The bearing behaviour of a screw-pile composite foundation was analysed in silt soil on a national key construction project. A comparative analysis of the bearing characteristics of composite foundations of smooth piles and screw piles was performed through model tests. The results showed that, in a single-pile composite foundation and with the same pile diameter and length, the ultimate bearing capacity of the screw pile was 67% higher than that of the smooth pile. The smooth pile showed an area of negative frictional resistance at the top of the composite foundation. The screw pile had a negative friction area below the junction of the smooth section and the screw section in the screw-pile composite foundation.
- Published
- 2019
74. CNN-based Diagnosis System on Skin Cancer using Ensemble Method Weighted by Cubic Precision
- Author
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Pengcheng Jiang
- Subjects
Contextual image classification ,business.industry ,Computer science ,medicine ,Pattern recognition ,Artificial intelligence ,User interface ,Skin cancer ,business ,Skin lesion ,medicine.disease ,Ensemble learning - Abstract
— One of the most prevalent diseases, skin cancer, has been proven to be treatable at an early stage. Thus, techniques that allow individuals to identify skin cancer symptoms early are in great demand. This paper proposed an interactive skin lesion diagnosis system based on the ensemble of multiple sophisticated CNN models for image classification. The performance of ResNet50, ResNeXt50, ResNeXt101, EfficientNetB4, Mobile-NetV2, MobileNetV3, and MnasNet are investigated separately as ensemble components. Then, using various criteria, we constructed ensembles and compared the accuracy they achieved. Moreover, we designed a method to update the ensemble for new data and examined its performance. In addition, a few natural language processing (NLP) techniques were used to make our system more user-friendly. To integrate all the functionalities, we built a user interface with PyQt5. As a result, MobileNetV3 achieved 91.02% as the best accuracy among all single models; ensemble weighted by cubic precision achieved 92.84% accuracy as the highest one in this study; a notable improvement in accuracy demonstrated the effectiveness of the model updating approach, and a system with all of the desired features was successfully developed. These findings benefit in two aspects. For model performance, applying cubic precisions can increase ensemble learning classification accuracy. For the developed diagnosis system, it can aid in the
- Published
- 2021
75. Retraction notice to 'PINK1 deficiency in gastric cancer compromises mitophagy, promotes the Warburg effect, and facilitates M2 polarization of macrophages' [Cancer Lett. 529 (2022) 19–36]
- Author
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Ying, Xu, Jiawei, Lu, Yinbing, Tang, Wenjie, Xie, Heteng, Zhang, Beibei, Wang, Shouliang, Zhang, Wenji, Hou, Chen, Zou, Pengcheng, Jiang, and Wenbo, Zhang
- Subjects
Cancer Research ,Oncology - Abstract
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been retracted at the request of the Editor-in-Chief and authors. Following the publication of the above article, the Editor was notified by a concerned reader that the authors supplied duplicated images. Specifically, that in Fig. 5 A, both FACS panels are identical and in Fig 5E, two different proteins (HK2 and PDK1) have the same western blot. After checking the data in relation with Fig. 5A and E, the authors have confirmed that the two pictures indeed have the problems of duplication. The authors reported that this problem came from the authors' unintentional behavior, which may be due to a copy and paste error in the manner of image processing. The authors sincerely apologize for the inconvenience caused to our Editors and readers. Due to this duplication error, the authors and Editor have made the decision to retract this paper.
- Published
- 2022
76. Quenching-Resistant Multiresonance TADF Emitter Realizes 40% External Quantum Efficiency in Narrowband Electroluminescence at High Doping Level
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Ke Pan, Chuluo Yang, Yang Zou, Han Xia, Pengcheng Jiang, Xiaosong Cao, Jingsheng Miao, Zhongyan Huang, Tao Hua, and Xialei Lv
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Quenching (fluorescence) ,Materials science ,business.industry ,Mechanical Engineering ,Doping ,Electroluminescence ,Full width at half maximum ,Mechanics of Materials ,OLED ,Optoelectronics ,General Materials Science ,Quantum efficiency ,business ,Common emitter ,Diode - Abstract
Multiresonance thermally activated delayed fluorescence (MR-TADF) emitters manifest great potential for organic light-emitting diodes (OLEDs) due to their high exciton-utilization efficiency and narrowband emission. Nonetheless, their tendency toward self-quenching caused by strong interchromophore interactions would induce doping sensitivity and deteriorate the device performances, and effective strategy to construct quenching-resistant emitters without sacrifycing color purity is still to be developed. By segregating the planar MR-TADF skeleton using two bulky carbazolyl units, herein a highly emissive molecule with enhanced quenching resistance is reported. The steric effect largely removes the formation of detrimental excimers/aggregates, and boosts the performance of the corresponding devices with a maximum external quantum efficiency (EQEmax ) up to 40.0% and full width at half maximum (FWHM) of 25 nm, representative of the only example of single OLED that can concurrently achieve narrow bandwidth and high EL efficiency surpassing 40% to date. Even at doping ratio of 30 wt%, the EQEmax is retained to be 33.3% with nearly unchanged emission spectrum. This work provides a viable approach to realize doping-insensitive MR-TADF devices with extreme EL efficiency and color purity for high-end OLED displays.
- Published
- 2021
77. Long noncoding RNA DLGAP1-AS2 facilitates Wnt1 transcription through physically interacting with Six3 and drives the malignancy of gastric cancer
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Yinbing Tang, Tao Rui, Beibei Wang, Heteng Zhang, Wenbo Zhang, Jiawei Lu, Pengcheng Jiang, Wenjie Xie, Ji Mao, and Ying Xu
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Cancer Research ,Gene knockdown ,QH573-671 ,Cell growth ,Immunology ,Cell ,Wnt signaling pathway ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Cell Biology ,Biology ,Article ,Long non-coding RNA ,Gastrointestinal cancer ,Cellular and Molecular Neuroscience ,medicine.anatomical_structure ,Transcription (biology) ,Cancer research ,medicine ,Gene silencing ,Cytology ,Gene ,RC254-282 ,Cancer - Abstract
The long noncoding RNA (lncRNA) DLGAP1-AS2 has recently been characterized as an oncogenic lncRNA in several cancers. However, its biological roles and clinical significance in gastric cancer (GC) remains barely understood. In this study, we performed a systematic analysis of DLGAP1-AS2 expression with data from the TCGA and GEO database as well as our clinic GC samples. In agreement with previous studies, our findings demonstrated that DLGAP1-AS2 was significantly up-regulated in GC and its high expression was associated with poor prognosis, suggesting that DLGAP1-AS2 might be a putative oncogenic lncRNA of GC. Loss of DLGAP1-AS2 restricted cell proliferation, migration, and invasion in GC cell lines. Mechanically, Wnt1 was identified as the downstream target of DLGAP1-AS2 by using bioinformatics analysis coupled with qPCR and Western blot assays. Furthermore, DLGAP1-AS2 was found to directly interact with the transcriptional repressor Six3, and this interaction hampered Six3 binding to the promoter regions of the Wnt1 gene, thereby leading to transcriptional activation of Wnt1. Consequently, GC cells lacking DLGAP1-AS2 showed a decreased Wnt1 expression and weakened Wnt/β-catenin signaling. Further, Six3 silencing could reverse the above effects, highlighting a pivotal role of Six3 in the DLGAP1-AS2-mediated activation of Wnt/β-catenin signaling. Either genetic (Wnt1 knockdown) or pharmacological (LF3) inhibition of Wnt/β-catenin signaling could effectively abolish the activation of Wnt/β-catenin signaling by Six3 depletion, thereby preventing GC cell malignant transformation. Taken together, our results suggest that DLGAP1-AS2 functions as an oncogenic factor by directly interacting with Six3 to relieve its suppression on Wnt1 expression, thereby driving the malignancy of GC. DLGAP1-AS2/Six3/Wnt1/β-catenin signaling axis might serve as a promising diagnostic and therapeutic target for GC.
- Published
- 2021
78. A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks
- Author
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Ferrante Neri, Jiayu Liang, Pengcheng Jiang, and Yu Xue
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Artificial neural network ,Rotation ,Computer Networks and Communications ,Computer science ,business.industry ,Deep learning ,Crossover ,Neural Architecture Search ,General Medicine ,Genetic Algorithm 14 ,Convolutional neural network ,Network planning and design ,Deep Learning ,Genetic algorithm ,Graph (abstract data type) ,Humans ,Artificial intelligence ,Neural Networks, Computer ,Representation (mathematics) ,business ,Multi-objective Optimization ,Algorithms - Abstract
With the development of deep learning, the design of an appropriate network structure becomes fundamental. In recent years, the successful practice of Neural Architecture Search (NAS) has indicated that an automated design of the network structure can efficiently replace the design performed by human experts. Most NAS algorithms make the assumption that the overall structure of the network is linear and focus solely on accuracy to assess the performance of candidate networks. This paper introduces a novel NAS algorithm based on a multi-objective modeling of the network design problem to design accurate Convolutional Neural Networks (CNNs) with a small structure. The proposed algorithm makes use of a graph-based representation of the solutions which enables a high flexibility in the automatic design. Furthermore, the proposed algorithm includes novel ad-hoc crossover and mutation operators. We also propose a mechanism to accelerate the evaluation of the candidate solutions. Experimental results demonstrate that the proposed NAS approach can design accurate neural networks with limited size.
- Published
- 2021
79. Long non‐coding RNA LINC01225 promotes proliferation, invasion and migration of gastric cancer via Wnt/β‐catenin signalling pathway
- Author
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Chen Zou, Guohua Zhang, Zhigang Gong, Guoliang Zhang, Pengcheng Jiang, Weidong Qi, Ying Xu, Wenbo Zhang, and Gui Ma
- Subjects
Male ,0301 basic medicine ,Epithelial-Mesenchymal Transition ,Carcinogenesis ,LINC01225 ,Wnt ,03 medical and health sciences ,0302 clinical medicine ,epithelial‐mesenchymal transition (EMT) ,Cell Movement ,Stomach Neoplasms ,Cell Line, Tumor ,medicine ,Animals ,Humans ,Gene silencing ,Neoplasm Invasiveness ,Wnt Signaling Pathway ,Aged ,Cell Proliferation ,Neoplasm Staging ,Mice, Inbred BALB C ,Gene knockdown ,Glycogen Synthase Kinase 3 beta ,Chemistry ,Cell growth ,Wnt signaling pathway ,Cancer ,Original Articles ,Cell Biology ,Middle Aged ,medicine.disease ,Hedgehog signaling pathway ,Long non-coding RNA ,Up-Regulation ,gastric cancer (GC) ,Gene Expression Regulation, Neoplastic ,030104 developmental biology ,Gene Knockdown Techniques ,030220 oncology & carcinogenesis ,Cancer research ,β‐catenin ,Molecular Medicine ,Original Article ,Female ,RNA, Long Noncoding ,Ectopic expression - Abstract
Emerging evidence has classified the aberrant expression of long non‐coding RNAs (lncRNAs) as a basic signature of various malignancies including gastric cancer (GC). LINC01225 has been shown to act as a hepatocellular carcinoma‐related gene, with its expression pattern and biological function not clarified in GC. Here, we verified that LINC01225 was up‐regulated in tumour tissues and plasma of GC. Analysis with clinicopathological information suggested that up‐regulation of LINC01225 was associated with advanced disease and poorer overall survival. Receiver operating characteristic (ROC) analysis showed that plasma LINC01225 had a moderate accuracy for diagnosis of GC. In addition, knockdown of LINC01225 led to retardation of cell proliferation, invasion and migration, and overexpression of LINC01225 showed the opposite effects. Mechanistic investigations showed that LINC01225 silencing inhibited epithelial‐mesenchymal transition (EMT) process and attenuated Wnt/β‐catenin signalling of GC. Furthermore, ectopic expression of Wnt1 or suppression of GSK‐3β abolished the si‐LINC01225‐mediated suppression against EMT, thereby promoting cell proliferation, invasion and migration of GC. In conclusion, LINC01225 promotes the progression of GC through Wnt/β‐catenin signalling pathway, and it may serve as a potential target or strategy for diagnosis or treatment of GC.
- Published
- 2019
80. Intelligent fault diagnosis of rotating machinery based on one-dimensional convolutional neural network
- Author
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Pengcheng Jiang, Wu Chunzhi, Tang Chen, Ding Chuang, and Fuzhou Feng
- Subjects
Flexibility (engineering) ,0209 industrial biotechnology ,General Computer Science ,Computer science ,business.industry ,Deep learning ,Reliability (computer networking) ,Feature extraction ,General Engineering ,02 engineering and technology ,Fault (power engineering) ,Machine learning ,computer.software_genre ,Convolutional neural network ,020901 industrial engineering & automation ,Pattern recognition (psychology) ,0202 electrical engineering, electronic engineering, information engineering ,Prognostics ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,computer - Abstract
Fault diagnosis of rotating machinery plays a significant role in the reliability and safety of modern industrial systems. The traditional fault diagnosis methods usually need manually extracting the features from raw sensor data before classifying them with pattern recognition models. This requires much professional knowledge and complex feature extraction, only to cause results in a poor flexibility of the model, which only applies to the diagnosis of a fault in particular equipment. In recent years, deep learning has developed rapidly, and great achievements have been made in image analysis, speech recognition and natural language processing. However, its application in fault diagnosis of rotating machinery is still at the initial stage. In order to solve the problem of end-to-end fault diagnosis, this paper focuses on developing a convolutional neural network to learn features directly from the original vibration signals and then diagnose faults. The effectiveness of the proposed method is validated through PHM (Prognostics and Health Management) 2009 gearbox challenge data and a planetary gearbox test rig. Compared with the other three traditional methods, the results show that the one-dimensional convolutional neural network (1-DCNN) model has higher accuracy for fixed-shaft gearbox and planetary gearbox fault diagnosis than that of the traditional diagnostic ones.
- Published
- 2019
81. Impact of the Bonding Sites at the Inner or Outer π-Bridged Positions for Non-Fullerene Acceptors
- Author
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Shouli Ming, Cai'e Zhang, Pengcheng Jiang, Zaifei Ma, Qinglin Jiang, Zhishan Bo, and Jinsheng Song
- Subjects
Steric effects ,Materials science ,Fullerene ,02 engineering and technology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,Polymer solar cell ,0104 chemical sciences ,chemistry.chemical_compound ,Crystallography ,chemistry ,Thiophene ,General Materials Science ,0210 nano-technology - Abstract
Two A−π–D−π–A-type non-fullerene acceptors (IDT-ToFIC and IDT-TiFIC) with 5-hexylthienyl chains substituted at the inner and outer β-positions of the thiophene π-bridge have been designed, respecti...
- Published
- 2019
82. Fused-ring acceptor with a spiro-bridged ladder-type core for organic solar cells
- Author
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Jinsheng Song, Shouli Ming, Cai'e Zhang, Zhishan Bo, Pengcheng Jiang, Shiyu Feng, Yahui Liu, and Miao Li
- Subjects
chemistry.chemical_classification ,Materials science ,Organic solar cell ,Process Chemistry and Technology ,General Chemical Engineering ,02 engineering and technology ,Electron acceptor ,010402 general chemistry ,021001 nanoscience & nanotechnology ,Ring (chemistry) ,01 natural sciences ,Acceptor ,Polymer solar cell ,0104 chemical sciences ,Crystallinity ,Crystallography ,chemistry ,Side chain ,Molecule ,0210 nano-technology - Abstract
Side-chain engineering could tune the crystallinity, solubility and aggregation styles of fused-ring electron acceptors (FREAs), and thus could influence the morphology and charge carrier mobility of blend films as well as the final device performances. Herein, we developed a novel FREA called spiro-IDT-O-IC, which is composed of a spiro-bridged IDT core and two 1,1-dicyanomethylene-3-indanone (IC) terminal units. Similar acceptor molecule IDT-O-IC with four 4-octyloxyphenyl side chains is also prepared for the control experiment. The absorptions, energy levels, molecular configurations, and electronic wave functions of these two acceptor molecules have been comparatively studied. Polymer solar cells (PSCs) fabricated with PBDB-T:spiro-IDT-O-IC as the active layer demonstrated a PCE of 6.23% with a Jsc of 11.76 mA/cm2, a Voc of 0.84 V and an FF of 0.63. To the best of our knowledge, this is the first report that a spiro-bridged ladder type core was used for the fabrication of fused ring acceptors.
- Published
- 2019
83. Dihydropyreno[1,2-b:6,7-b′]dithiophene based electron acceptors for high efficiency as-cast organic solar cells
- Author
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Zhishan Bo, Shiyu Feng, Hao Lu, Pengcheng Jiang, Cuihong Li, Hai-Bei Li, and Qing-Qing Jia
- Subjects
chemistry.chemical_classification ,Materials science ,Organic solar cell ,Renewable Energy, Sustainability and the Environment ,Energy conversion efficiency ,Electron donor ,02 engineering and technology ,General Chemistry ,Electron acceptor ,021001 nanoscience & nanotechnology ,Photochemistry ,Acceptor ,chemistry.chemical_compound ,chemistry ,Thiophene ,General Materials Science ,0210 nano-technology ,Absorption (electromagnetic radiation) ,Malononitrile - Abstract
Two novel fused ring electron acceptors PDT and PDT-T have been designed, synthesized and used in organic solar cells. PDT comprises a central 4,10-bis(hexyloxy)-6,6,12,12-tetrakis(4-hexylphenyl)-6,12-dihydropyreno[1,2-b:6,7-b′]dithiophene (DDT) donor unit and two flanked 2-(5,6-difluoro-3-oxo-2,3-dihydro-1H-inden-1-ylidene)malononitrile acceptor units, while PDT-T has an extra thiophene bridge unit between the central donor unit and the acceptor unit. The introduction of a thiophene bridge unit can markedly broaden the absorption of acceptors and enhance the film absorption coefficient. The optical bandgaps of PDT and PDT-T are 1.59 and 1.44 eV, respectively. The photovoltaic performance of these two acceptors was investigated using PBDB-T as the electron donor. Wide photo-current responses extending to 800 nm for PDT based devices and to 900 nm for PDT-T based ones were observed. A power conversion efficiency (PCE) of 7.07% for PBDB-T:PDT based cells was obtained with a Voc of 0.96 V, Jsc of 13.48 mA cm−2 and FF of 54.0%, while the as-cast devices based on PBDB-T:PDT-T gave rise to a PCE of 11.02% with a Voc of 0.88 V, Jsc of 18.88 mA cm−2 and FF of 66.3%. These results highlight that DDT is a promising building block for constructing highly efficient fused ring acceptors and π-bridging can further boost the photovoltaic performance of the devices.
- Published
- 2019
84. Nonfullerene acceptors comprising a naphthalene core for high efficiency organic solar cells
- Author
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Dawei Li, Zhishan Bo, Miao Li, Zhe Zhang, Xinyue Cui, Yahui Liu, and Pengcheng Jiang
- Subjects
chemistry.chemical_classification ,Materials science ,Organic solar cell ,Open-circuit voltage ,Band gap ,General Chemical Engineering ,Energy conversion efficiency ,Analytical chemistry ,02 engineering and technology ,General Chemistry ,Electron acceptor ,010402 general chemistry ,021001 nanoscience & nanotechnology ,Electrochemistry ,01 natural sciences ,0104 chemical sciences ,Active layer ,chemistry ,0210 nano-technology ,HOMO/LUMO - Abstract
A fused-ring electron acceptor (FREA) NDIC is designed and synthesized. Inspired by IDIC, NDIC was constructed by replacing the benzene with a naphthalene ring in its core unit. IDIC exhibits an optical bandgap of 1.60 eV and a lower lowest unoccupied molecular orbital (LUMO) energy level of −3.92 eV. In comparison, NDIC displays an optical band gap of 1.72 eV and a higher lying LUMO energy level of −3.88 eV. Due to the higher energy level, inverted devices based on NDIC exhibit a higher open circuit voltage (Voc) of 0.90 V, which is much higher than that of IDIC (0.77 V). After a series of optimizations, a power conversion efficiency (PCE) of 9.43% was obtained with a PBDB-T:NDIC blend active layer, in comparison, a PCE of 9.19% was achieved based on IDIC. Our results demonstrate that a tiny variation in the molecular structure could dramatically affect the optical and electrochemical properties, and thus the photovoltaic performance.
- Published
- 2019
85. Is inhibition of financialization the sub-effect of the green credit policy? Evidence from China
- Author
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Pengcheng Jiang, Hongli Jiang, and Jiahui Wu
- Subjects
Finance - Published
- 2022
86. PINK1 deficiency in gastric cancer compromises mitophagy, promotes the Warburg effect, and facilitates M2 polarization of macrophages
- Author
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Ying Xu, Jiawei Lu, Yinbing Tang, Wenjie Xie, Heteng Zhang, Beibei Wang, Shouliang Zhang, Wenji Hou, Chen Zou, Pengcheng Jiang, and null Wenbo Zhang
- Subjects
Cancer Research ,Gene Expression ,Immunophenotyping ,Mice ,Stomach Neoplasms ,Cell Line, Tumor ,Tumor-Associated Macrophages ,Biomarkers, Tumor ,Tumor Microenvironment ,Warburg Effect, Oncologic ,Animals ,Humans ,Neoplasm Staging ,Mitophagy ,Macrophage Activation ,Hypoxia-Inducible Factor 1, alpha Subunit ,Prognosis ,Mitochondria ,Disease Models, Animal ,Oncology ,Gene Knockdown Techniques ,Heterografts ,Neoplasm Grading ,Reactive Oxygen Species ,Glycolysis ,Protein Kinases ,Signal Transduction - Abstract
Cancer cells are typically characterized by abnormal quality control of mitochondria, production of reactive oxygen species (ROS), dysregulation of the cell redox state, and the Warburg effect. Mutation or depletion of PTEN-induced kinase 1 (PINK1) or Parkin leads to mitophagy defects and accumulation of malfunctioning mitochondria, and is often detected in a variety of tumors. However, PINK1's role in the progression of gastric cancer (GC) remains unclear, with its main effect being on mitochondrial turnover, metabolic reprogramming, and tumor microenvironment (TME) alteration. To address these issues, we first assessed the expression levels of PINK1, mitophagy-associated molecules, ROS, HIF-1α, glycolysis-associated genes, and macrophage signatures in GC tissues and matched tumor-adjacent normal samples. In addition, GC cell lines (AGS and MKN-45) and xenograft mouse models were used to determine the mechanism by which PINK1 regulates mitophagy, metabolic reprogramming, tumor-associated macrophage (TAM) polarization, and GC progression. We found that PINK1 loss correlated with advanced stage GC and poorer overall survival. GC tissues with lower PINK1 levels showed compromised mitophagy signaling and enhanced glycolytic enzyme expression. In vitro experiments demonstrated that PINK1 deficiency promoted GC cell proliferation and migration through the inhibition of mitophagy, production of mitochondrial ROS, stabilization of HIF-1α, and facilitation of the Warburg effect under both normoxic and hypoxic conditions. Moreover, PINK1 deficiency in GC cells promoted TAM polarization toward the M2-like phenotype. Reintroduction of PINK1 or inhibition of HIF-1α effectively repressed PINK1 deficiency-mediated effects on GC cell growth, metabolic shift, and TAM polarization. Thus, mitophagy defects caused by PINK1 loss conferred a metabolic switch through accumulation of mtROS and stabilization of HIF-1α, thereby facilitating the M2 polarization of TAM to remodel an immunosuppressive microenvironment in GC. Our results clarify the mechanism between PINK1 and GC progression and may provide a novel strategy for the treatment of GC.
- Published
- 2021
87. Research on software defect prediction technology based on deep learning
- Author
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Pengcheng Jiang
- Subjects
Computer Science::Machine Learning ,business.industry ,Computer science ,Deep learning ,Feature extraction ,Feature selection ,Machine learning ,computer.software_genre ,Support vector machine ,Statistics::Machine Learning ,Deep belief network ,ComputingMethodologies_PATTERNRECOGNITION ,Software ,Computer Science::Sound ,Robustness (computer science) ,Computer Science::Computer Vision and Pattern Recognition ,Artificial intelligence ,Data pre-processing ,business ,computer - Abstract
To solve the problem that the traditional feature selection methods, such as PCA and LDA, are unable to get the nonlinear relationship between characteristics. Deep belief networks cannot eliminate the noise and missing value, which affect the accuracy of the software defect prediction (SDP) model. Not only the methods of feature selection, but data preprocessing and learning algorithm can also affect the precision of the defect prediction model. This thesis uses deep belief networks and SVM to construct an SDP model (DBN-SVM) to increase prediction precision. Using denoising autoencoders and SVM to build an SDP model (DA - SVM), compared with the DBN - SVM, DA - SVM model not only improves the prediction precision, but also enhance the robustness of the model. The thesis also proposes an SDP model framework which includes data preprocessing, feature selection and learning algorithm.
- Published
- 2021
88. Simple Acridan-Based Multi-Resonance Structures Enable Highly-Efficient Narrowband Green TADF Electroluminescence
- Author
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Changjiang Zhou, Xialei Lv, Pengcheng Jiang, Chuluo Yang, Zhongyan Huang, Shaolong Gong, Yang Zou, Xiaosong Cao, Lisi Zhan, and Fan Ni
- Subjects
Materials science ,Narrowband ,Quenching (fluorescence) ,business.industry ,Bathochromic shift ,OLED ,Optoelectronics ,Quantum efficiency ,Electroluminescence ,Luminescence ,business ,Fluorescence - Abstract
Multi-resonance thermally activated delayed fluorescence (MR-TADF) offered exceptional solution for narrowband organic light emitting diode (OLED) devices in terms of color purity and luminescence efficiency, while the development of new MR skeleton remained an exigent task, especially for long wavelength region. We hereby demonstrate that a simple modification of the B (boron)-N (nitrogen) framework by sp3 -carbon insertion would significant bathochromic shift the short-range chargetransfer emission and improve the device performances. The bis(acridan)phenylenebased skeleton developed in this contribution presented a non-planar conformation and allowed facile introduction of isolating units to prevent triplet-involved quenching, deriving two luminophores with quantum yields approaching 90% and narrow FWMHs below 30 nm in film state. Corresponding green-emissive devices realized superior performances comparing to the planar carbazolyl-based MR-TADF analogues, with a maximum external quantum efficiency (EQEmax) up to 28.2% and small efficiency rolloff without the involvement of any sensitizing host
- Published
- 2020
89. Efficient Ternary Organic Solar Cells with a New Electron Acceptor Based on 3,4-(2,2-Dihexylpropylenedioxy)thiophene
- Author
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Pengcheng Jiang, Xiaobo Zhou, Cai'e Zhang, Zhaozhao Bi, Wei Ma, Zhishan Bo, Cuihong Li, Zheng Tang, Xinjun Xu, and Shiyu Feng
- Subjects
Photocurrent ,chemistry.chemical_classification ,Materials science ,Organic solar cell ,business.industry ,Energy conversion efficiency ,02 engineering and technology ,Electron acceptor ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,Polymer solar cell ,0104 chemical sciences ,chemistry.chemical_compound ,chemistry ,Thiophene ,Optoelectronics ,General Materials Science ,0210 nano-technology ,business ,Ternary operation ,Voltage - Abstract
In this work, a ternary blend strategy based on PBDB-T and two small molecular acceptors (IDTT-OB and IDT-PDOT-C6) is demonstrated to simultaneously improve the photocurrent and reduce the voltage ...
- Published
- 2020
90. Response surface optimization and finite element simulation to prepare microporous carbon refractories via cold isostatic pressing
- Author
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Jiwei Niu, Zhoufu Wang, Xizhong An, Beiyue Ma, Hao Liu, Yan Ma, Pengcheng Jiang, Yulong Wang, Hongxing Pang, and Xitang Wang
- Subjects
General Chemical Engineering - Published
- 2022
91. Tumor-derived exosomes induce N2 polarization of neutrophils to promote gastric cancer cell migration
- Author
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Wenrong Xu, Hui Qian, Hui Shi, Pengcheng Jiang, Xiao Yuan, and Xu Zhang
- Subjects
0301 basic medicine ,Cancer Research ,Neutrophils ,Activation ,chemical and pharmacologic phenomena ,Biology ,Exosomes ,HMGB1 ,Models, Biological ,Exosome ,lcsh:RC254-282 ,Neutrophil Activation ,03 medical and health sciences ,Cell Movement ,Stomach Neoplasms ,Cell Line, Tumor ,Pro-tumor ,medicine ,Autophagy ,Humans ,Gene silencing ,HMGB1 Protein ,Tumor microenvironment ,Research ,Macrophages ,Neutrophil ,NF-kappa B ,Cell Polarity ,Cancer ,medicine.disease ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Microvesicles ,Toll-Like Receptor 4 ,030104 developmental biology ,Oncology ,Culture Media, Conditioned ,Gene Knockdown Techniques ,Cancer cell ,biology.protein ,Cancer research ,Molecular Medicine ,Gastric cancer ,Protein Binding ,Signal Transduction - Abstract
Background Exosomes are extracellular vesicles that mediate cellular communication in health and diseases. Neutrophils could be polarized to a pro-tumor phenotype by tumor. The function of tumor-derived exosomes in neutrophil regulation remains unclear. Methods We investigated the effects of gastric cancer cell-derived exosomes (GC-Ex) on the pro-tumor activation of neutrophils and elucidated the underlying mechanisms. Results GC-Ex prolonged neutrophil survival and induced expression of inflammatory factors in neutrophils. GC-Ex-activated neutrophils, in turn, promoted gastric cancer cell migration. GC-Ex transported high mobility group box-1 (HMGB1) that activated NF-κB pathway through interaction with TLR4, resulting in an increased autophagic response in neutrophils. Blocking HMGB1/TLR4 interaction, NF-κB pathway, and autophagy reversed GC-Ex-induced neutrophil activation. Silencing HMGB1 in gastric cancer cells confirmed HMGB1 as a key factor for GC-Ex-mediated neutrophil activation. Furthermore, HMGB1 expression was upregulated in gastric cancer tissues. Increased HMGB1 expression was associated with poor prognosis in patients with gastric cancer. Finally, gastric cancer tissue-derived exosomes acted similarly as exosomes derived from gastric cancer cell lines in neutrophil activation. Conclusion We demonstrate that gastric cancer cell-derived exosomes induce autophagy and pro-tumor activation of neutrophils via HMGB1/TLR4/NF-κB signaling, which provides new insights into mechanisms for neutrophil regulation in cancer and sheds lights on the multifaceted role of exosomes in reshaping tumor microenvironment. Electronic supplementary material The online version of this article (10.1186/s12943-018-0898-6) contains supplementary material, which is available to authorized users.
- Published
- 2018
92. A method for constructing rolling bearing lifetime health indicator based on multi-scale convolutional neural networks
- Author
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Wang Jie, Pengcheng Jiang, Shoujun Wu, Fuzhou Feng, and Wu Chunzhi
- Subjects
0209 industrial biotechnology ,Bearing (mechanical) ,Computer science ,Mechanical Engineering ,Applied Mathematics ,General Engineering ,Aerospace Engineering ,02 engineering and technology ,Function (mathematics) ,Convolutional neural network ,Signal ,Industrial and Manufacturing Engineering ,law.invention ,Inverse hyperbolic function ,Vibration ,Bathtub curve ,020901 industrial engineering & automation ,law ,Automotive Engineering ,Feature (machine learning) ,Algorithm - Abstract
The degradation of rolling bearings is complex, and traditional methods of degenerating feature degradation are highly dependent on previous research and expertise. However, the traditional methods’ ability for learning the complex relationship between degraded features and large amounts of measured data is limited. So, it is difficult to construct a single health indicator (HI) to predict the degradation state of the bearing. In order to solve this problem, a multi-scale convolutional neural network (MSCNN) is proposed, which uses the frequency signal as input to construct HI. In combination with the “bathtub curve,” the HI we proposed is constructed by the inverse hyperbolic tangent function (atanh) method which is different from the proportional HI construction method. Five kinds of processing methods, such as original vibration signal, frequency signal and three kinds of modal decomposition preprocessed signals, are tested with PHM 2012 bearing lifetime data. And the proposed method is compared with other three HI construction methods. The experimental results show that under the HI construction method of atanh, the MSCNN model with the input of frequency signal can better represent the degradation state of the bearing compared with other methods. Meanwhile, the remaining life prediction is more accurate compared.
- Published
- 2019
93. Nonfullerene Acceptors with Enhanced Solubility and Ordered Packing for High-Efficiency Polymer Solar Cells
- Author
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Hai-Bei Li, Qing-Qing Jia, Wei Ma, Miao Li, Shiyu Feng, Yahui Liu, Xinjun Xu, Zhishan Bo, Pengcheng Jiang, and Xiaobo Zhou
- Subjects
Materials science ,Renewable Energy, Sustainability and the Environment ,Annealing (metallurgy) ,Energy conversion efficiency ,Energy Engineering and Power Technology ,02 engineering and technology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,Acceptor ,Polymer solar cell ,0104 chemical sciences ,Active layer ,Fuel Technology ,Chemical engineering ,Chemistry (miscellaneous) ,Attenuation coefficient ,Materials Chemistry ,Side chain ,Solubility ,0210 nano-technology - Abstract
The performance of polymer solar cells (PSCs) is commonly improved using additives or annealing treatment. However, these processes are accompanied by disadvantages, including poor reproducibility and stability. Herein, a molecular design strategy is proposed to obtain additive- and annealing-free PSCs. IDTOT2F containing two alkoxyl side chains at the central unit of the nonfullerene acceptor IDTT2F was developed. This molecular design results in excellent solubility in solutions, ordered molecular packing in films, slightly elevated energy levels, and a higher film absorption coefficient. Compared with its counterpart IDTT2F, its improved solubility provides an active layer with better morphology, its ordered molecular packing enhances the charge mobility in blend films, and its slightly elevated energy level furnishes a higher open-circuit voltage of devices. As a result, IDTOT2F-based devices display a maximum power conversion efficiency of 12.79%, which is one of the highest values reported for a PSC...
- Published
- 2018
94. Long non-coding RNA UFC1 promotes gastric cancer progression by regulating miR-498/Lin28b
- Author
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Wei Liang, Wenrong Xu, Lei Pan, Xu Zhang, Jibin Liu, Jianmei Gu, Yu Zhang, Hui Shi, Hui Qian, Min Fu, Zhenhua Huang, Xueyan Zang, and Pengcheng Jiang
- Subjects
0301 basic medicine ,Cancer Research ,Cell ,Apoptosis ,Biology ,miR-498 ,lcsh:RC254-282 ,03 medical and health sciences ,UFC1 ,0302 clinical medicine ,In vivo ,Cell Movement ,Genes, Reporter ,Stomach Neoplasms ,Cell Line, Tumor ,Lin28b ,medicine ,Humans ,3' Untranslated Regions ,Cell Proliferation ,Gene knockdown ,Progression ,Cell growth ,Research ,Cell Cycle ,Cancer ,RNA-Binding Proteins ,Biomarker ,medicine.disease ,Prognosis ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Long non-coding RNA ,In vitro ,Gene Expression Regulation, Neoplastic ,MicroRNAs ,030104 developmental biology ,medicine.anatomical_structure ,Oncology ,ROC Curve ,030220 oncology & carcinogenesis ,Gene Knockdown Techniques ,Ubiquitin-Conjugating Enzymes ,Cancer research ,RNA Interference ,RNA, Long Noncoding ,Gastric cancer - Abstract
Background Long non-coding RNAs (lncRNAs) have emerged as important regulators of human cancers. However, the functional roles of lncRNAs and the mechanisms responsible for their aberrant expression in gastric cancer (GC) have not been well characterized. Methods In this study, we examined the expression of lncRNA UFC1 in GC by qRT-PCR and explored its correlation with clinicopathological parameters. In vitro cell functional assays and in vivo animal studies were performed to determine the roles of UFC1 in GC progression. Results UFC1 was elevated and predicted poorer prognosis in GC. UFC1 knockdown inhibited while UFC1 overexpression promoted GC cell proliferation, migration, and invasion. UFC1 bound to miR-498 to antagonize its tumor suppressive effect on Lin28b. Suppression of Lin28b by miR-498 could be rescued by UFC1 overexpression, whereas Lin28b overexpression partially rescued UFC1 knockdown-mediated inhibition of GC cell function. Lin28b expression was increased in GC and suggested a co-expression pattern with UFC1. Conclusions UFC1 has a promoting role in GC progression, at least in part, by acting as a miR-498 sponge and derepressing Lin28b expression, which would provide a novel biomarker for GC diagnosis and prognosis and offer a potential target for GC therapy. Electronic supplementary material The online version of this article (10.1186/s13046-018-0803-6) contains supplementary material, which is available to authorized users.
- Published
- 2018
95. Adenovirus-mediated OX40Ig gene transfer induces long-term survival of orthotopic liver allograft in rats
- Author
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Yong Pu, Chao Wang, Fa-xing Wei, Shouliang Zhang, Zhi-hong Chen, Jun Liu, Bin-bin Xu, and Pengcheng Jiang
- Subjects
Graft Rejection ,Male ,0301 basic medicine ,Orthotopic liver transplantation ,medicine.medical_treatment ,Genetic Vectors ,Immunology ,Gene transfer ,Pharmacology ,Liver transplantation ,Tacrolimus ,Adenoviridae ,law.invention ,Interferon-gamma ,03 medical and health sciences ,0302 clinical medicine ,law ,Long term survival ,Animals ,Humans ,Transplantation, Homologous ,Immunology and Allergy ,Medicine ,Transplantation ,business.industry ,Graft Survival ,Gene Transfer Techniques ,Genetic Therapy ,Mixed lymphocyte reaction ,Antigens, Differentiation ,Liver Transplantation ,Rats ,Disease Models, Animal ,030104 developmental biology ,medicine.anatomical_structure ,Liver ,Rats, Inbred Lew ,Hepatocyte ,Recombinant DNA ,Interleukin-2 ,Liver function ,business ,Immunosuppressive Agents ,030215 immunology - Abstract
To discuss the effect and mechanism of adenovirus-mediated OX40Ig gene transfer in inducing long-term survival of liver allografts in rats.Orthotopic liver transplantation was performed from Lewis to Brown Norway (BN) rats through the modified two-cuffed technique, and all rats were randomly divided equally into four groups: control, AdEGFP, AdOX40Ig, and FK506. The survival times of the rats were recorded. The rats' liver function, serum cytokines, hepatocyte pathology, OX40Ig protein level, and mixed lymphocyte reaction (MLR) with or without recombinant interleukin-2 (rIL-2) were evaluated.Compared with the control and AdEGFP groups, the rats in the AdOX40Ig and FK506 groups survived longer (P 0.05), experienced less damage to hepatic function (P 0.05), and showed milder hepatic cellular rejection and less hepatic cellular apoptosis. Interferon (IFN)-γ and IL-2 content in the serum were lower after operation (P .05) in the AdOX40Ig and FK506 groups. On the contrary, IL-4 and IL-10 content in the serum was higher after operation (P 0.05) in the AdOX40Ig and FK506 groups. OX40Ig protein was significantly expressed in the AdOX40Ig group and reached the highest level on the 7th day after operation. With respect to the MLR between BN and Lewis rats, the AdOX40Ig group showed a lighter reaction for the same strain than the control and AdEGFP groups (P 0.05), which is different from the MLR between BN and F344 rats. After adding rIL-2 to the MLR system between BN rats in the AdOX40Ig group and Lewis rats, MLR was aggravated.Through OX40/OX4OL pathways, OX40Ig created an immunosuppressive effect after liver transplantation in rats. This immunosuppressive effect is associated with reduced IL-2 and can be reversed by adding IL-2 with antigen specificity.
- Published
- 2018
96. Data Driven Congestion Trends Prediction of Urban Transportation
- Author
-
Pengcheng Jiang, Rui Jia, Lei Liu, Lizhen Cui, and Yuliang Shi
- Subjects
Data stream ,050210 logistics & transportation ,Traffic congestion reconstruction with Kerner's three-phase theory ,Computer Networks and Communications ,Computer science ,business.industry ,ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS ,05 social sciences ,Real-time computing ,020206 networking & telecommunications ,Floating car data ,02 engineering and technology ,Traffic flow ,Network traffic control ,Computer Science Applications ,Data-driven ,Traffic congestion ,Hardware and Architecture ,0502 economics and business ,Signal Processing ,0202 electrical engineering, electronic engineering, information engineering ,business ,Information Systems ,Computer network - Abstract
Smart traffic prediction system provides significant benefits in solving the city traffic congestion. However, existing smart transportation system needs a lot of real-time traffic data and accurate location information to display the traffic condition. We hope that we can use the data which is easy to be obtained, and then predict a reliable congestion time. To address this problem, this paper studied a smart traffic forecasting system based on SWARIMA model. The system includes three steps: 1) use the sliding windows to calculate and process real-time data stream; 2) establish the SWARIMA model and make regression analysis; and 3) from a statistical point of view, calculate the elastic interval and predict the congestion trend. Our system is capable of accepting the real-time traffic data stream for the congestion prediction, in addition, we reduce the actual running parameters to three attributes: 1) speed; 2) time; and 3) location information. When faced with the challenges of real-time traffic congestion, the system can timely and effectively calculate the congestion trends and provide three reliable elastic intervals: 1) warning; 2) congestion; and 3) mitigation, which has significance to improve traffic condition and alleviate urban road congestion.
- Published
- 2018
97. The influence of the π-bridging unit of fused-ring acceptors on the performance of organic solar cells
- Author
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Zhishan Bo, Pengcheng Jiang, Xinjun Xu, Miao Li, Hao Lu, Shouli Ming, Qing-Qing Jia, Yahui Liu, and Hai-Bei Li
- Subjects
Electron mobility ,Bridging (networking) ,Materials science ,Organic solar cell ,Renewable Energy, Sustainability and the Environment ,Photovoltaic system ,Energy conversion efficiency ,02 engineering and technology ,General Chemistry ,Molar absorptivity ,010402 general chemistry ,021001 nanoscience & nanotechnology ,Photochemistry ,01 natural sciences ,0104 chemical sciences ,chemistry.chemical_compound ,chemistry ,General Materials Science ,Methylene ,0210 nano-technology ,Order of magnitude - Abstract
We have designed and synthesized two fused-ring small molecular acceptors IDT-PDOT and IDT-EDOT, comprising 3,4-propylenedioxythiophene (PDOT) and 3,4-ethylenedioxythiophene (EDOT) bridging units, respectively. The only structural difference between these two acceptors is one methylene group at the π-bridging unit. However, such a tiny structural difference exerts a great influence on the optical, electrical and photovoltaic properties of the acceptors. The molar absorption coefficient of IDT-EDOT is more than four times higher than that of IDT-PDOT. The electron mobility of the IDT-EDOT based blend film is one order of magnitude higher than that of the IDT-PDOT based one. Consequently, a high power conversion efficiency (PCE) of 11.32% for IDT-EDOT based devices was obtained, whereas a PCE of only 2.18% was achieved for IDT-PDOT based ones. Our results have demonstrated that changing the π-bridging unit in fused ring acceptors is an effective strategy to adjust their photovoltaic performance.
- Published
- 2018
98. Simple Acridan‐Based Multi‐Resonance Structures Enable Highly Efficient Narrowband Green TADF Electroluminescence
- Author
-
Yang Zou, Zhongyan Huang, Changjiang Zhou, Pengcheng Jiang, Lisi Zhan, Fan Ni, Xialei Lv, Xiaosong Cao, Chuluo Yang, Zhanxiang Chen, and Shaolong Gong
- Subjects
Materials science ,Narrowband ,business.industry ,Simple (abstract algebra) ,OLED ,Optoelectronics ,Electroluminescence ,business ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials - Published
- 2021
99. Can smart city construction facilitate green total factor productivity? A quasi-natural experiment based on China’s pilot smart city
- Author
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Dong Wang, Hongli Jiang, Pengcheng Jiang, and Jiahui Wu
- Subjects
Renewable Energy, Sustainability and the Environment ,Technological change ,Geography, Planning and Development ,0211 other engineering and technologies ,Transportation ,02 engineering and technology ,010501 environmental sciences ,Environmental economics ,01 natural sciences ,Human capital ,Urban economics ,Smart city ,Urbanization ,Scale (social sciences) ,021108 energy ,Business ,Total factor productivity ,0105 earth and related environmental sciences ,Civil and Structural Engineering ,Panel data - Abstract
The smart city, as a new urbanization mode, provides a practicable initiative for achieving the win-win situation of economic development and environmental protection. This paper examines the influence of smart city construction on urban green total factor productivity (GTFP), explores the influence mechanism and further investigates the heterogeneous influence among the factors of urban scale, human capital and financial development, by conducting a quasi-natural experiment based on the first batch of pilot smart city in China and using panel data of 174 prefecture level cities over the period of 2005−2016. Our findings show that: (1) Smart city construction pilot significantly improves GTFP and green technological progress (GTP) in China, but its influence on GTE is not significant, which means smart city construction promotes GTFP mainly through promoting GTP. This conclusion is still valid after a series of robustness tests. (2) The estimation result of mediating effect models is that smart city construction promoted GTFP and GTP mainly through boosting urban technological innovation. The influence path of “smart city construction→technological innovation→GTFP” is verified. (3) Regarding city heterogeneity, cities with larger scale, richer human capital and higher level financial development have stronger positive effects on GTFP and GTP. These conclusions are of vital significance to improve the urban ecological environment and promote the high-quality development of urban economy.
- Published
- 2021
100. Desiccant wheel system modeling improvement using multiple population genetic algorithm training of neural network
- Author
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Hua Cong, Pengcheng Jiang, Yaokai Li, Yang Yongli, Fuzhou Feng, Jinfeng Hao, and Ping Zhang
- Subjects
Desiccant ,Engineering ,education.field_of_study ,Artificial neural network ,business.industry ,020209 energy ,General Chemical Engineering ,Population ,Control engineering ,02 engineering and technology ,Systems modeling ,Overfitting ,Backpropagation ,Genetic algorithm ,0202 electrical engineering, electronic engineering, information engineering ,Physical and Theoretical Chemistry ,MATLAB ,business ,education ,computer ,Algorithm ,computer.programming_language - Abstract
Since the physical modeling method for the desiccant wheel system (DWS) is complex and costly for calculations, the modeling method based on neural network (NN) gains attention for its simplicity and effectiveness. The previous NN models of DWS are mostly based on backpropagation (BP) NN and adopt the gradient searching method to obtain the weights and thresholds. However, the gradient searching method results in “overfitting” easily. In this paper, a novel neural network training algorithm, trainmpga, is proposed. The algorithm searches the optimal weights and thresholds of NN by making use of the multiple population genetic algorithm, thereby conquering the “overfitting” of the gradient searching method and the “prematurity” of the genetic algorithm. Meanwhile, related configurations of NN, such as parameters and framework, are studied. Finally, the proposed modeling method trainmpga proves to have high training and prediction accuracy in comparison to the training algorithms in the MatLab toolb...
- Published
- 2017
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