811 results on '"Xiang Deng"'
Search Results
202. Establishment of geology-engineering integration model for shale gas of Wei AH platform in Weiyuan Area
- Author
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Hai Jiang, Yang Xiao, Ziping Liu, Zhigang Li, Xiang Deng, and Longqing Zou
- Subjects
Environmental sciences ,wei ah platform ,geology-engineering integration ,shale gas ,GE1-350 ,geomechanical model ,fracturing design model - Abstract
Wei AH platform is a platform composed of 8 horizontal wells in Weiyuan shale gas area. The number of faults in the area is small, and natural fractures are locally developed. Therefore, it is necessary to take volume reconstruction as the core mining technology and establish the geology-engineering integration model for the platform according to the geology-engineering integration concept. On the basis of geological model, combined with one-dimensional rock mechanics profile, the geomechanical model of Wei AH platform is established by means of deep diagenetic theory. Based on geological model and geomechanical model, the well trajectory design model, fracturing design model and reservoir numerical simulation model are modeled and optimized respectively. Finally, it can realize the comprehensive application of geophysical, geological, mechanical and seepage data, and complete the mutual call and matching of all kinds of understanding and models.
- Published
- 2021
203. Regulating Surface Termination for Efficient Inverted Perovskite Solar Cells with Greater Than 23% Efficiency
- Author
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Francis Lin, Sei-Hum Jang, Xinhui Lu, Zhen Li, Xiang Deng, Fengzhu Li, Dong Shen, Danjun Liu, Dangyuan Lei, Shengfan Wu, Chun-Sing Lee, Feng Qi, Zonglong Zhu, Jie Zhang, Minchao Qin, and Alex K.-Y. Jen
- Subjects
chemistry.chemical_classification ,Passivation ,Chemistry ,Photovoltaic system ,Energy conversion efficiency ,Electron donor ,General Chemistry ,Electron acceptor ,010402 general chemistry ,01 natural sciences ,Biochemistry ,Catalysis ,0104 chemical sciences ,chemistry.chemical_compound ,Colloid and Surface Chemistry ,Chemical engineering ,Residual stress ,Molecule ,Bifunctional - Abstract
Passivating surface and bulk defects of perovskite films has been proven to be an effective way to minimize nonradiative recombination losses in perovskite solar cells (PVSCs). The lattice interference and perturbation of atomic periodicity at the perovskite surfaces often significantly affect the material properties and device efficiencies. By tailoring the terminal groups on the perovskite surface and modifying the surface chemical environment, the defects can be reduced to enhance the photovoltaic performance and stability of derived PVSCs. Here, we report a rationally designed bifunctional molecule, piperazinium iodide (PI), containing both R2NH and R2NH2+ groups on the same six-membered ring, behaving both as an electron donor and an electron acceptor to react with different surface-terminating ends on perovskite films. The resulting perovskite films after defect passivation show released surface residual stress, suppressed nonradiative recombination loss, and more n-type characteristics for sufficient energy transfer. Consequently, charge recombination is significantly suppressed to result in a high open-circuit voltage (VOC) of 1.17 V and a reduced VOC loss of 0.33 V. A very high power conversion efficiency (PCE) of 23.37% (with 22.75% certified) could be achieved, which is the highest value reported for inverted PVSCs. Our work reveals a very effective way of using rationally designed bifunctional molecules to simultaneously enhance the device performance and stability.
- Published
- 2020
204. Synthetic Lethal Drug Combinations Targeting Proteasome and Histone Deacetylase Inhibitors in TP53-Mutated Cancers
- Author
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Xiang Deng, Uma Shankavaram, Kevin Camphausen, and Shaoli Das
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Drug ,Synthetic lethality ,Proteasome ,Bortezomib ,media_common.quotation_subject ,Cancer ,TP53-mutation ,Biology ,medicine.disease ,Article ,In-silico analysis ,Tumor genome atlas ,Cancer research ,medicine ,Histone deacetylase ,Vorinostat ,Gene ,Drug sensitivity ,media_common ,medicine.drug - Abstract
Background We have recently published SL-BioDP, a web resource for querying, exploration and visualization of potential synthetic lethal targets and possible synergistic drug combinations for 18 cancer types. Methods From our predictive synthetic lethality model used in SL-BioDP, we inferred TP53 mutation lead to potential synergistic drug combination of Bortezomib and Vorinostat. Here we show, how to extrapolate the drug combination results by combining drug screening data from cancer cell lines and showed the potential synergy of the drug targets, proteasome, and histone deacetylase (HDAC) pathways respectively, for patient survival advantage. Results We found that TP53 mutation is potentially synthetic lethal with multiple genes from the proteasome and HDAC pathways exclusively in many cancer types. Also, HDAC and proteasomes were found to have potential synthetic lethal relationship. Using drug screening data in cancer cell line, the sensitivity of the HDAC inhibitor drug Vorinostat was found to be increased in TP53 mutated cells where the proteasome pathway was downregulated. Conclusions Our in-silico pharmacogenomic study indicates that the potential synergistic drug combination of proteasome and HDAC inhibitors may be considered as potential treatment for TP53-mutant cancers.
- Published
- 2020
205. Sparsity-Control Ternary Weight Networks
- Author
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Xiang Deng and Zhongfei Zhang
- Subjects
FOS: Computer and information sciences ,Computer Science - Machine Learning ,Contextual image classification ,Discretization ,Computer science ,Cognitive Neuroscience ,Computation ,Binary number ,Estimator ,Machine Learning (cs.LG) ,Artificial Intelligence ,Control theory ,Benchmark (computing) ,Neural Networks, Computer ,Ternary operation ,Algorithm - Abstract
Deep neural networks (DNNs) have been widely and successfully applied to various applications, but they require large amounts of memory and computational power. This severely restricts their deployment on resource-limited devices. To address this issue, many efforts have been made on training low-bit weight DNNs. In this paper, we focus on training ternary weight \{-1, 0, +1\} networks which can avoid multiplications and dramatically reduce the memory and computation requirements. A ternary weight network can be considered as a sparser version of the binary weight counterpart by replacing some -1s or 1s in the binary weights with 0s, thus leading to more efficient inference but more memory cost. However, the existing approaches to training ternary weight networks cannot control the sparsity (i.e., percentage of 0s) of the ternary weights, which undermines the advantage of ternary weights. In this paper, we propose to our best knowledge the first sparsity-control approach (SCA) to training ternary weight networks, which is simply achieved by a weight discretization regularizer (WDR). SCA is different from all the existing regularizer-based approaches in that it can control the sparsity of the ternary weights through a controller $\alpha$ and does not rely on gradient estimators. We theoretically and empirically show that the sparsity of the trained ternary weights is positively related to $\alpha$. SCA is extremely simple, easy-to-implement, and is shown to consistently outperform the state-of-the-art approaches significantly over several benchmark datasets and even matches the performances of the full-precision weight counterparts., Comment: version 1 of SCA; accepted by journal "Neural Networks"; the final version could be a little different from this version
- Published
- 2020
206. Plasmonic Local Heating Induced Strain Modulation for Enhanced Efficiency and Stability of Perovskite Solar Cells
- Author
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Fengzhu Li, Tsz Wing Lo, Xiang Deng, Siqi Li, Yulong Fan, Francis R. Lin, Yuanhang Cheng, Zonglong Zhu, Dangyuan Lei, and Alex K.‐Y. Jen
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Renewable Energy, Sustainability and the Environment ,General Materials Science - Published
- 2022
207. Prediction of a high-ZT and strong anisotropic thermoelectric material: Monolayer InClSe
- Author
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Si-Zhao Huang, Qing-Yi Feng, Bi-Yi Wang, Hong-Dong Yang, Bo Li, Xia Xiang, Xiao-Tao Zu, and Hong-Xiang Deng
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Condensed Matter Physics ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials - Published
- 2022
208. GeSn (0.524 eV) single-junction thermophotovoltaic cells based on the device transport model
- Author
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Xin-Miao Zhu, Min Cui, Yu Wang, Tian-Jing Yu, Jin-Xiang Deng, and Hong-Li Gao
- Subjects
General Physics and Astronomy - Abstract
Based on the transport equation of the semiconductor device model for 0.524 eV GeSn alloy and the experimental parameters of the material, the thermal–electricity conversion performance governed by a GeSn diode has been systematically studied in its normal and inverted structures. For the normal p+/n (n+/p) structure, it is demonstrated here that an optimal base doping N d(a) = 3 (7) × 1018 cm−3 is observed, and the superior p+/n structure can achieve a higher performance. To reduce material consumption, an economical active layer can comprise a 100 nm–300 nm emitter and a 3 μm–6 μm base to attain comparable performance to that for the optimal configuration. Our results offer many useful guidelines for the fabrication of economical GeSn thermophotovoltaic devices.
- Published
- 2022
209. Defect modulated electronic structure and magnetism in the 1T′ phase of Janus MoSSe
- Author
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Jia-Wen Li, Sha-Sha Ke, Hong-Xiang Deng, Xu Sun, Yong Guo, and Hai-Feng Lü
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General Physics and Astronomy ,Physical and Theoretical Chemistry - Published
- 2022
210. Optimization of the coupling groove parameters of composite porous vapor chamber
- Author
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Qing-Hui Wang, Zhan-Hui Wu, Zhi-Jia Xu, Xiao-Lin Fang, Hao Zhao, Ying-Jun Wang, and Da-Xiang Deng
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Energy Engineering and Power Technology ,Industrial and Manufacturing Engineering - Published
- 2022
211. Corrigendum to 'The digital beam forming technique in AgileDARN high-frequency radar'[Polar Sci, 28(2020) 100595, Special Issue on 'SuperDARN/ studies of geospace dynamics - Today and future']
- Author
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Jingye Yan, Xiang Deng, Ailan Lan, Ji Wu, Jiaojiao Zhang, Wei Wang, and Hongbin Qiu
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Ecology ,General Earth and Planetary Sciences ,Aquatic Science ,Ecology, Evolution, Behavior and Systematics - Published
- 2022
212. AC impedance model of array electrodes in multisensor fusion system for two-phase flow measurement
- Author
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Xiang Deng, Ye Chen, Zengwei Yan, and Zheng Wei
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Electrodes -- Design and construction ,Electromagnetism -- Analysis ,Flow meters -- Innovations ,Impedance (Electricity) -- Models - Published
- 2010
213. Predictors of Surgical Treatment of Intussusception and Intussusception Complicated with Intestinal Necrosis in Children.
- Author
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Zhiwen Liu, Mengjie Yu, Nuoya Li, Meiying Hu, Fanyou Su, Liang Hong, Xiang Deng, Shouhua Zhang, and Qiang Tao
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C-reactive protein ,ALBUMINS ,BOWEL obstructions ,BODY temperature ,MONONUCLEAR leukocytes ,BLOOD proteins ,RISK assessment ,INTESTINAL diseases ,LEUKOCYTE count ,PLATELET count ,INTESTINAL intussusception ,PREDICTION models ,BLOOD testing ,URIC acid ,CHLORINE ,GLOBULINS ,NECROSIS ,MONOCYTES ,BILIRUBIN ,CHILDREN - Abstract
Background: This study aimed to comprehensively analyze the biochemical blood indices of children with intussusception. Methods: A total of 8235 children with intussusception were included in this study, consisting of 5743 children with successfully reduced intussusception byhydraulicenema(the HEgroup)and 2492 children with surgical management after unsuccessfulenema treatment (the SM group). The SM group consisted of the managed surgically with necrosis group (the SN+ group, n = 398) and the managed surgically without necrosis group (the SN- group, n = 2094). This study conducted a comprehensive analysis of 74 clinical and biochemical parameters in these children with intussusception. Results: Temperature, plateletcrit (PCT), mononuclear cell ratio (MONO%), monocyte count (MONO#), γ-glutamyltranspeptidase (GGT), direct bilirubin (DBIL), and C-reactive protein (CRP) increased gradually in HE, SN-, and SN+ groups and might be risk factors for further development of HE into SN- or SN+. The neutro cell count (NEUT#), neutro cell ratio (NEUT%), and white blood cell count (WBC) showed significant differences only in HE/SN+ and SN-/SN+ groups, which might be risk factors for intussusception complicated with intestinal necrosis in children. The prediction model composed of seven variables (i.e., NEUT#, platelet (PLT), albumin (ALB), β-2MG macroglobulin (β-2MG), glucose (Glu), uric acid (UA), and chlorine (Cl) was suitable for HE/SM. The average prediction accuracy of this model was 81.82%, and the area under the receiver operating characteristic curve (AUROC) was 0.87 (95% CI: 0.85 - 0.90). The prediction model composed of six variables (i.e., NEUT#, average hemoglobin concentration (MCHC), PLT, the total protein (TP), CRP, and urea (BUN) was suitable for SN-/SN+. The average prediction accuracy of this model was 87.93%, and the AUROC was 0.95 (95% CI: 0.92 - 0.97). Conclusions: This study screened out the risk factors of intussusception patients needing surgical treatment and established the appropriate prediction models. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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214. Comparison of Postnatal Growth Charts of Singleton Preterm and Term Infants Using World Health Organization Standards at 40–160 Weeks Postmenstrual Age: A Chinese Single-Center Retrospective Cohort Study
- Author
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Zhang, Li, primary, Lin, Jian-Gong, additional, Liang, Shuang, additional, Sun, Jin, additional, Gao, Nan-Nan, additional, Wu, Qiong, additional, Zhang, Hui-Yun, additional, Liu, Hui-Juan, additional, Cheng, Xiang-Deng, additional, Cao, Yuan, additional, and Li, Yan, additional
- Published
- 2021
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215. Structure-Grounded Pretraining for Text-to-SQL
- Author
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Xiang Deng, Huan Sun, Matthew Richardson, Oleksandr Polozov, Christopher A. Meek, and Ahmed Hassan Awadallah
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Structure (mathematical logic) ,FOS: Computer and information sciences ,SQL ,Computer Science - Computation and Language ,Computer science ,business.industry ,Computer Science - Artificial Intelligence ,Database schema ,Machine learning ,computer.software_genre ,Column (database) ,Set (abstract data type) ,Artificial Intelligence (cs.AI) ,Leverage (statistics) ,Artificial intelligence ,business ,Encoder ,computer ,Computation and Language (cs.CL) ,Natural language ,computer.programming_language - Abstract
Learning to capture text-table alignment is essential for tasks like text-to-SQL. A model needs to correctly recognize natural language references to columns and values and to ground them in the given database schema. In this paper, we present a novel weakly supervised Structure-Grounded pretraining framework (StruG) for text-to-SQL that can effectively learn to capture text-table alignment based on a parallel text-table corpus. We identify a set of novel prediction tasks: column grounding, value grounding and column-value mapping, and leverage them to pretrain a text-table encoder. Additionally, to evaluate different methods under more realistic text-table alignment settings, we create a new evaluation set Spider-Realistic based on Spider dev set with explicit mentions of column names removed, and adopt eight existing text-to-SQL datasets for cross-database evaluation. STRUG brings significant improvement over BERT-LARGE in all settings. Compared with existing pretraining methods such as GRAPPA, STRUG achieves similar performance on Spider, and outperforms all baselines on more realistic sets. The Spider-Realistic dataset is available at https://doi.org/10.5281/zenodo.5205322., Accepted to NAACL 2021. The Spider-Realistic dataset is available at https://doi.org/10.5281/zenodo.5205322
- Published
- 2020
216. A Low Complexity Long Short-Term Memory Based Voice Activity Detection
- Author
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Jie Liu, Xiang Deng, Zhuochao Zheng, and Ruiting Yang
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Voice activity detection ,Artificial neural network ,Computer science ,Speech recognition ,Frame (networking) ,020206 networking & telecommunications ,02 engineering and technology ,Speech processing ,computer.software_genre ,030507 speech-language pathology & audiology ,03 medical and health sciences ,Transient noise ,Robustness (computer science) ,0202 electrical engineering, electronic engineering, information engineering ,Mel-frequency cepstrum ,0305 other medical science ,Audio signal processing ,computer - Abstract
Voice Activity Detection (VAD) plays an important role in audio processing, but it is also a common challenge when a voice signal is corrupted with strong and transient noise. In this paper, an accurate and causal VAD module using a long short-term memory (LSTM) deep neural network is proposed. A set of features including Gammatone cepstral coefficients (GTCC) and selected spectral features are used. The low complex structure allows it can be easily implemented in speech processing algorithms and applications. With carefully pre-processing and labeling the collected training data in the classes of speech or non-speech and training on the LSTM net, experiments show the proposed VAD is able to distinguish speech from different types of noisy background effectively. Its robustness against changes including varying frame length, moving speech sources and speaking in different languages, are further investigated.
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- 2020
217. GATA6 regulates epithelial-mesenchymal transition and metastasis through regulating MUC1/β-catenin pathway in cholangiocarcinoma
- Author
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Yan Jiang, Feng Tian, Shuguang Wang, Yujun Zhang, Jianwei Li, Peng Jiang, Xi Li, Xiang Deng, Dajiang Li, Yu He, Jian Chen, and Shuangnian Xu
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Text mining ,GATA6 ,Chemistry ,business.industry ,Catenin ,medicine ,Cancer research ,Epithelial–mesenchymal transition ,medicine.disease ,business ,MUC1 ,Metastasis - Abstract
The authors have requested that this preprint be removed from Research Square.
- Published
- 2020
218. Hsp70 Is a Potential Therapeutic Target for Echovirus 9 Infection
- Author
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Xiang Deng, Dongbo Ma, Yang Wang, Hong Liu, Hui Zhang, Fang Li, Jing Wang, Qiuge Wu, and Dongdong Wu
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0301 basic medicine ,Echovirus ,Viral protein ,encephalitis ,RT-PCR ,Biology ,medicine.disease_cause ,Proteomics ,Biochemistry, Genetics and Molecular Biology (miscellaneous) ,Biochemistry ,Hsp70 ,03 medical and health sciences ,0302 clinical medicine ,proteomics ,medicine ,Molecular Biosciences ,Molecular Biology ,Echovirus 9 ,lcsh:QH301-705.5 ,differential protein expression ,Original Research ,Gel electrophoresis ,echovirus ,Molecular biology ,Blot ,030104 developmental biology ,lcsh:Biology (General) ,030220 oncology & carcinogenesis ,Chaperone binding - Abstract
Echovirus is an important cause of viral pneumonia and encephalitis in infants, neonates, and young children worldwide. However, the exact mechanism of its pathogenesis is still not well understood. Here, we established an echovirus type 9 infection mice model, and performed two-dimensional gel electrophoresis (2DE) and tandem mass spectrometry (MS/MS)-based comparative proteomics analysis to investigate the differentially expressed host proteins in mice brain. A total of 21 differentially expressed proteins were identified by MS/MS. The annotation of the differentially expressed proteins by function using the UniProt and GO databases identified one viral protein (5%), seven cytoskeletal proteins (33%), six macromolecular biosynthesis and metabolism proteins (28%), two stress response and chaperone binding proteins (9%), and five other cellular proteins (25%). The subcellular locations of these proteins were mainly found in the cytoskeleton, cytoplasm, nucleus, mitochondria, and Golgi apparatus. The protein expression profiles and the results of quantitative RT-PCR in the detection of gene transcripts were found to complement each other. The differential protein interaction network was predicted using the STRING database. Of the identified proteins, heat shock protein 70 (Hsp70), showing consistent results in the proteomics and transcriptomic analyses, was analyzed through Western blotting to verify the reliability of differential protein expression data in this study. Further, evaluation of the function of Hsp70 using siRNA and quercetin, an inhibitor of Hsp70, showed that Hsp70 was necessary for the infection of echovirus type 9. This study revealed that echovirus infection could cause the differential expression of a series of host proteins, which is helpful to reveal the pathogenesis of viral infection and identify therapeutic drug targets. Additionally, our results suggest that Hsp70 could be a useful therapeutic host protein target for echovirus infection.
- Published
- 2020
219. TURL: Table Understanding through Representation Learning
- Author
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Xiang Deng, Huan Sun, Alyssa Lees, You Wu, and Cong Yu
- Subjects
FOS: Computer and information sciences ,Computer Science - Computation and Language ,General Engineering ,Computation and Language (cs.CL) ,Software ,Information Retrieval (cs.IR) ,Information Systems ,Computer Science - Information Retrieval - Abstract
Relational tables on the Web store a vast amount of knowledge. Owing to the wealth of such tables, there has been tremendous progress on a variety of tasks in the area of table understanding. However, existing work generally relies on heavily-engineered task-specific features and model architectures. In this paper, we present TURL, a novel framework that introduces the pre-training/fine-tuning paradigm to relational Web tables. During pre-training, our framework learns deep contextualized representations on relational tables in an unsupervised manner. Its universal model design with pre-trained representations can be applied to a wide range of tasks with minimal task-specific fine-tuning. Specifically, we propose a structure-aware Transformer encoder to model the row-column structure of relational tables, and present a new Masked Entity Recovery (MER) objective for pre-training to capture the semantics and knowledge in large-scale unlabeled data. We systematically evaluate TURL with a benchmark consisting of 6 different tasks for table understanding (e.g., relation extraction, cell filling). We show that TURL generalizes well to all tasks and substantially outperforms existing methods in almost all instances., Accepted to VLDB 2021. Extended version with experiments added during revision. Our source code, benchmark, as well as pre-trained models will be available on https://github.com/sunlab-osu/TURL
- Published
- 2020
220. Promoting or Inhibiting? The Impact of Environmental Regulation on Corporate Financial Performance—An Empirical Analysis Based on China
- Author
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Li Li and Xiang Deng
- Subjects
China ,Conservation of Natural Resources ,Health, Toxicology and Mutagenesis ,lcsh:Medicine ,ComputingMilieux_LEGALASPECTSOFCOMPUTING ,010501 environmental sciences ,01 natural sciences ,Article ,new environmental protection law ,Global issue ,Order (exchange) ,0502 economics and business ,environmental supervision intensity ,Industrial organization ,0105 earth and related environmental sciences ,Sustainable development ,Organizations ,Financial performance ,corporate financial performance ,Ownership ,05 social sciences ,lcsh:R ,Public Health, Environmental and Occupational Health ,environmental regulation ,Ecological civilization ,Government Regulation ,Environmental regulation ,050202 agricultural economics & policy ,Business ,Negative correlation ,Environmental Pollution - Abstract
Today, environmental protection has become a global issue, and various environmental regulations have been actively adopted. However, are these measures promoting or harming enterprise values? Is this effect the same for enterprises with different ownership backgrounds? In order to address these problems, we conducted an empirical analysis of China&rsquo, s A-share market to investigate the relationship between the New Environmental Protection Law (NEPL) launched in China and corporate financial performance, and further explore the impact of environmental supervision intensity (ESI) from the perspective of ownership. The empirical results show that there is a negative correlation between NEPL and the financial performance of high pollution enterprises. Further analysis demonstrates that there is an inverted U-shape relationship between ESI and corporate financial performance for both state-owned enterprises (SOEs) and non-state-owned enterprises (non-SOEs), while the financial performance of SOEs is more sensitive and tolerant to environmental regulation than that of non-SOEs. Finally, we make recommendations for the future direction of China&rsquo, s ecological civilization construction and sustainable development of enterprises based on three aspects: environmental awareness, policy considerations, and sustainable development. The innovation of this paper lies in putting NEPL and corporate financial performance in the same analytical framework for the first time, which enriches the research in this field. Meanwhile, it provides a new perspective for understanding the relationship between ESI and corporate financial performance through the analysis of nonlinearity and owner heterogeneity.
- Published
- 2020
221. Analysis of Thermal Load Patterns for Commercial Buildings under Various Climate Zones in China Based on Clustering Method
- Author
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Xiang Xiang, Xiang Deng, Zijing Tan, Xue Xue, Shijun Deng, and Fuhua Kuang
- Published
- 2020
222. Model Experimental Study on Stress Transfer and Redistribution in a Clay Landslide under Surcharge Load
- Author
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Heng-Jun Hou, Bo Wang, Feng Xiao, Quan-Xiang Deng, and Zheng-Wei Zhu
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Materials science ,Computer simulation ,Article Subject ,business.industry ,0211 other engineering and technologies ,General Engineering ,Landslide ,04 agricultural and veterinary sciences ,02 engineering and technology ,Slip (materials science) ,Masonry ,Overburden pressure ,Shear (geology) ,Lateral earth pressure ,Deflection (engineering) ,040103 agronomy & agriculture ,TA401-492 ,0401 agriculture, forestry, and fisheries ,General Materials Science ,Geotechnical engineering ,business ,Materials of engineering and construction. Mechanics of materials ,021101 geological & geomatics engineering - Abstract
Stress transfer and redistribution always accompany with the evolution of landslides. However, previous literature studies have mainly focused on stages of stress variation, and far too little attention has been paid to detailed transfer and redistribution process analysis on stress variation. In this paper, a large-scale clay model slope with masonry slide bed and prefabricated cambered slip surface was constructed. Earth pressure cells were embedded into slip mass to monitor vertical and horizontal stresses in different parts of the test soils under the set load sequence. Stress transfer efficiency (STE) indicators based on qualified stress monitoring datasets (tested by Shapiro-Wilk method) were established to quantify the stress transfer process. Staged development of stress inside the clay slope was analyzed through extracting slopes of stress curves and limit loads. The stress redistribution process was analyzed using STE and deflection of stress isolines derived from numerical simulation. Moreover, to study the influence of loading position on stress variation, geometry partitioning has also been discussed. Results showed that vertical and horizontal stresses had different growth trends on both sides of 80 kN and 60 kN, respectively. Horizontal stress growth has two stages; vertical stress growth has two stages in soils close to slope surface and shear outlet, while there are three stages in other soils. Vertical stress transfer efficiency (VSTE) and horizontal stress transfer efficiency (HSTE) are recommended to quantify stress transfer and redistribution process. Based on VSTEs and HSTEs, the slip mass could be partitioned into three parts: loading zone, transfer zone, and free zone. Deflecting amplitudes of stress isolines were in consistency with the results revealed by STEs.
- Published
- 2020
223. CFD-Based Numerical Method for Temperature Set-Point Commissioning and PMV Assessment of Occupied Individual Air-Conditioning Zone
- Author
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Xiang Deng, Xue Xue, and Bugong Xu
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Offset (computer science) ,Air conditioning ,business.industry ,ComputerSystemsOrganization_MISCELLANEOUS ,Numerical analysis ,Control system ,Airspeed ,Virtual temperature ,Environmental science ,Thermal comfort ,Computational fluid dynamics ,business ,Automotive engineering - Abstract
Traditional air-conditioning control system assumes indoor air temperature to be uniformly distributed. However, indoor air is often not completely well-mixed. The air temperature and speed data obtained from sensors cannot represent thermal state of the whole room. This paper aims to investigate real thermal perception of the occupants in an air-conditioned office model. A Computational Fluid Dynamics (CFD) based method is utilised for building modelling. The temperature and air speed calibrations are adopted to offset the temperature and air speed difference between the actual sensors (i.e. temperature and speed sensors) and the virtual sensors (i.e. temperature and speed sensors) located in the occupied zone. Predicted Mean Vote (PMV) method is employed to evaluate the thermal comfort performance under different indoor air conditions. Simulation results show that indoor thermal comfort performance in a specified office model is well improved by calibrating the differences between the actual and virtual temperature sensors.
- Published
- 2020
224. Learning with Retrospection
- Author
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Xiang Deng and Zhongfei Zhang
- Subjects
FOS: Computer and information sciences ,Computer Science - Machine Learning ,General Medicine ,Machine Learning (cs.LG) - Abstract
Deep neural networks have been successfully deployed in various domains of artificial intelligence, including computer vision and natural language processing. We observe that the current standard procedure for training DNNs discards all the learned information in the past epochs except the current learned weights. An interesting question is: is this discarded information indeed useless? We argue that the discarded information can benefit the subsequent training. In this paper, we propose learning with retrospection (LWR) which makes use of the learned information in the past epochs to guide the subsequent training. LWR is a simple yet effective training framework to improve accuracies, calibration, and robustness of DNNs without introducing any additional network parameters or inference cost, only with a negligible training overhead. Extensive experiments on several benchmark datasets demonstrate the superiority of LWR for training DNNs., Comment: Accepted to AAAI2021
- Published
- 2020
- Full Text
- View/download PDF
225. Beyond Word Embeddings: Heterogeneous Prior Knowledge Driven Multi-Label Image Classification
- Author
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Xiang Deng, Songhe Feng, Gengyu Lyu, Tao Wang, and Congyan Lang
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Signal Processing ,Media Technology ,Electrical and Electronic Engineering ,Computer Science Applications - Published
- 2022
226. Graph cut based automatic aorta segmentation with an adaptive smoothness constraint in 3D abdominal CT images
- Author
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Yunlong Xu, Yuanjie Zheng, Xiang Deng, Ning Li, Yilong Yin, and Xiaoming Xi
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Hessian matrix ,Smoothness (probability theory) ,Computer science ,business.industry ,Cognitive Neuroscience ,020206 networking & telecommunications ,Pattern recognition ,02 engineering and technology ,Computer Science Applications ,symbols.namesake ,Discriminative model ,Artificial Intelligence ,Feature (computer vision) ,Test set ,Cut ,Metric (mathematics) ,0202 electrical engineering, electronic engineering, information engineering ,symbols ,020201 artificial intelligence & image processing ,Segmentation ,Artificial intelligence ,business - Abstract
Aorta segmentation is clinically important as it is a necessary step towards accurate assessments of some aorta disease. In the paper, we present a graph cut based method for automated aorta segmentation. In our method, a discriminative integrated feature (DIF) and a novel adaptive smoothness constraint are designed. DIF consists of low level features and other discriminative features including eigenvalues of Hessian and local self-similarity descriptor. DIF and random forests (RFs) are used to generate the probability maps. The probability maps containing learning information from RFs are more accurate than traditional probability maps generated based on intensities directly. The negative logarithm of the probability maps serves as the penalty term in a cost function. Additionally, a novel adaptive smoothness constraint is imposed to ensure a smooth solution. The adaptive smoothness term is constructed by DIFs and data-driven weights. Two kinds of data-driven weights are developed based on the idea that the discontinuity of two neighboring voxels with different labels should be distinct with two neighboring voxels with the same label. The final segmentation is obtained by optimizing the cost function using graph cuts. We evaluate the proposed method through challenging task of abdominal aorta segmentation in 3D CT images. With average dice metric (DM) > 0.9690 on the test set, our experimental results demonstrate that our method achieves higher aorta segmentation accuracy than existing methods.
- Published
- 2018
227. [Temporal and Spatial Variations in the Conductivity in Different Media in Taihu Lake, China]
- Author
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Rui, Wang, Dan, Dai, Chi, Zhang, Yi-Xiang, Deng, Cheng-da, He, and Tao, Yu
- Abstract
Conductivity is an important parameter for characterizing dissolved solids and salinity in water, and is also one of the routinely measured parameters in water quality monitoring. To reveal temporal and spatial variations in conductivity in different media in Taihu Lake, historical data (1980-2009) were collected and field monitoring data (2009-2018) were analyzed. The results indicated that water conductivity in Taihu Lake has shown a significant increasing trend over the past 40 years and diverged in 1996-1997. Conductivity values increased from (239.43±70.60)μS·cm
- Published
- 2019
228. The Researches on the Impact of Community Q&A Information Quality on Consumers' Purchase Intention
- Author
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Wen-xiang Deng and Xiao-ping Liu
- Subjects
Information quality ,Advertising ,Business - Published
- 2018
229. Sodium tanshinone IIA sulfonate protects against Aβ
- Author
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Xiao-Qi, Liu, Ya-Xiang, Deng, Zhao, Dai, Tian, Hu, Wei-Wu, Cai, Hao-Fei, Liu, Han, Li, Wen-Li, Zhu, Ben-Yue, Li, Qi, Wang, and Shi-Jie, Zhang
- Subjects
Amyloid beta-Peptides ,Molecular Structure ,Cell Survival ,Proteolysis ,Lipid Peroxidation ,Enzyme Inhibitors ,Phenanthrenes ,Protective Agents ,Reactive Oxygen Species ,Peptide Fragments ,Cell Line - Abstract
β-Amyloid (Aβ) plays an important role in the pathogenesis of Alzheimer's disease (AD). However, there is still no effective Aβ-targeting drugs for AD treatment. In this study, we explored the effect and mechanism of Sodium Tanshinone IIA Sulfonate (STS) on AD. Aβ-treated HT22 cells, an immortalized mouse hippocampal neuronal cell line, were employed. Different dosages of STS (0.1, 1 and 10 μM) were selected. STS improved cell viability and protected against Aβ-induced apoptosis in a dose-dependent manner. Furthermore, the levels of reactive oxygen species (ROS) and malondialdehyde (MDA) were decreased, while the activities of superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) were significantly increased after STS treatment. STS decreased the levels of phosphorylate PKR-like (p-PERK), phosphorylate eukaryotic initiation factor 2 (p-eIF2α), phosphorylate inositol-requiring enzyme (p-IRE1α), X-box binding protein 1 (XBP1) and binding immunoglobulin heavy chain protein (Bip), while increased protein disulfide isomerase (PDI) levels in Aβ-treated HT22 cells. In addition, the levels of insulin degrading enzymes (IDE) and Nepterrilysin (NEP) (or call it CD10) were significantly increased after STS treatment. Taken together, these results indicated that STS might be effective in treating AD via increasing the levels of Aβ-degrading enzymes.
- Published
- 2019
230. FinTech and Sustainable Development: Evidence from China based on P2P Data
- Author
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Xiang Cheng, Zhi Huang, and Xiang Deng
- Subjects
lcsh:TJ807-830 ,Geography, Planning and Development ,lcsh:Renewable energy sources ,Context (language use) ,010501 environmental sciences ,Management, Monitoring, Policy and Law ,01 natural sciences ,FinTech ,0502 economics and business ,financial technology ,Regional science ,050207 economics ,China ,lcsh:Environmental sciences ,0105 earth and related environmental sciences ,lcsh:GE1-350 ,Sustainable development ,social development ,sustainable development ,Renewable Energy, Sustainability and the Environment ,business.industry ,lcsh:Environmental effects of industries and plants ,05 social sciences ,Social change ,environmental governance ,peer-to-peer ,economic growth ,lcsh:TD194-195 ,Environmental governance ,consumption emission ,Sustainability ,business ,Regional differences - Abstract
In the current international context, the ways in which financial technology (FinTech) affects sustainable development need to be urgently identified. However, relevant studies are rare and there is no consensus on the optimal indicator system for sustainable development. Therefore, this study proposes an indicator system to evaluate sustainability and conducts in-depth analysis of the relationship between FinTech and sustainable development based on data of peer-to-peer platforms (P2P) in 31 Chinese provinces. The empirical results show the existence of a U-shaped relationship between FinTech and sustainable development, mainly determined by , the pattern of extensive economic growth. Furthermore, heterogeneity analysis indicates that there are significant regional differences in its impact on sustainable development, being significant in China&rsquo, s eastern and central regions and insignificant in the western region, moreover, the impact on the central region is significantly higher than that on the eastern region. Our research not only has strong practical significance but also contributes significantly to the literature on FinTech and sustainable development.
- Published
- 2019
- Full Text
- View/download PDF
231. Design of a WeChat Learning Platform for Syndrome Differentiation
- Author
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Ying-Jiao Liu, Wen-An Zhang, Jian-Ping Zhu, Yi-Ge Zhang, Wen-Xiang Deng, and Hui-Yong Huang
- Subjects
Multimedia ,Computer science ,Information sharing ,media_common.quotation_subject ,lcsh:R ,Medicine (miscellaneous) ,lcsh:Medicine ,Health Informatics ,lcsh:Other systems of medicine ,computer.software_genre ,Average memory ,lcsh:RZ201-999 ,Computer Science Applications ,Test report ,Complementary and alternative medicine ,Debugging ,Virtual learning environment ,Statistical analysis ,Android (operating system) ,computer ,Syndrome differentiation ,media_common - Abstract
Objective To design a WeChat mini program called Chinese Syndrome Differentiation Learning Platform (CSDLP) on smartphone to improve health literacy.Methods The developer tools of WeChat (Version: v1.01.170925) were used for designing and debugging the mini program. SPSS17.0 was used for statistical purposes. “View container”“Basic content”“Form component”“Navigation” and “Media components” were used for the development of the WeChat mini program. The detailed method was referred to https://mp.weixin.qq.com/debug/wxadoc/dev/.Results A WeChat mini program called CSDLP was developed. This program has three major functions which are WeChat reading, WeChat class and WeChat syndrome differentiation. The official test report showed that there were no functionality errors for the seven android smartphones (referred to as A, B, C, D, E, F and G) that CSDLP was tested on. Statistical analysis results showed that the average memory in D, E, F and G was lower than in A, B and C. Average ratio was the highest in F and the lowest in G. The average loading time was the same for all smartphones. The audio database for diagnostics using traditional Chinese medicine (TCM) and a lecture video database were based on diagnostic textbook. Our team built a syndrome differentiation database which included 51 diseases.Conclusion CSDLP can improve knowledge visualization, studying process, and information sharing in terms of the training and development of new techniques for syndrome differentiation and treatment in TCM, and it can provide a better illustration for people to understand TCM. Keywords: Syndrome differentiation and treatment, Learning platform, Smartphone, WeChat Program
- Published
- 2018
232. Genetically-modified bone mesenchymal stem cells with TGF-β 3 improve wound healing and reduce scar tissue formation in a rabbit model
- Author
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Paul A Kingston, Qing Li, Shawn Johnson, Youhan Cao, Yuanyuan Zhang, Liangyu Peng, Lin Qiu, Zijian Xiao, Hanfeng Xu, Mingyong Li, Lyundup Alexey, Xiang Deng, and Wei Hu
- Subjects
0301 basic medicine ,Pathology ,medicine.medical_specialty ,Mesenchymal stem cell ,Therapeutic effect ,Surgical wound ,Cell Biology ,Transfection ,Biology ,medicine.disease ,Transplantation ,030207 dermatology & venereal diseases ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Soft tissue injury ,medicine ,Wound healing ,Myofibroblast - Abstract
Extensive scar tissue formation often occurs after severe burn injury, trauma, or as one of complications after surgical intervention. Despite significant therapeutic advances, it is still a significant challenge to manage massive scar tissue formation while also promoting normal wound healing. The goal of this study was to investigate the therapeutic effect of bone mesenchymal stem cells (BMSCs) that were genetically modified to overexpress transforming growth factor-beta 3 (TGF-β3), an inhibitor of myofibroblast proliferation and collagen type I deposition, on full-thickness cutaneous wound healing in a rabbit model. Twenty-four rabbits with surgically-induced full-thickness cutaneous wounds created on the external ear (1.5 × 1.5 cm, two wounds/ear) were randomized into four groups: (G1), wounds with no special treatment but common serum-free culture medium as negative controls; (G2), topically-applied recombinant adenovirus, expressing TGF-β3/GFP; (G3), topically-applied BMSCs alone; (G4), topically-applied BMSCs transfected with Ad-TGF-β3/GFP (BMSCsTGF-β3); and (G5), an additional normal control (n = 2) with neither wound nor treatment on the external ear skin. The sizes of wounds on the ear tissues were grossly examined, and the scar depth and density of wounds were histologically evaluated 21, 45, and 90 days after surgical wound creation. Our results demonstrated that G4 significantly reduced the wound scar depth and density, compared to G1~3. Numbers of cells expressing GFP significantly increased in G4, compared to G2. The protein expression of TGF-β3 and type III collagen in G4 significantly increased, while the ratio of type I to type III collagen was also significantly reduced, which is similar to the tissue architecture found in G5, as compared the other treatment groups. In conclusion, transplantation of BMSCsTGF-β3 remarkably improves wound healing and reduces skin scar tissue formation in an animal model, which may potentially provide an alternative in the treatment of extensive scar tissue formation after soft tissue injury.
- Published
- 2018
233. Characteristic analysis of tetra-resistant genetically modified rice
- Author
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Youlun Xiao, Xiang-yang Deng, Xiao-xiang Deng, Li-hua Deng, Xi-qin Fu, Wen-bin Hu, Xing-jian He, and Guoying Xiao
- Subjects
rice leaf roller ,0106 biological sciences ,0301 basic medicine ,Germplasm ,Agriculture (General) ,glufosinate ,Plant Science ,Biology ,01 natural sciences ,Biochemistry ,S1-972 ,resistance ,03 medical and health sciences ,chemistry.chemical_compound ,Food Animals ,medicine ,Gene ,Southern blot ,Ecology ,rice ,fungi ,Significant difference ,food and beverages ,medicine.disease ,biology.organism_classification ,Genetically modified rice ,brown planthopper ,Horticulture ,bacterial blight ,030104 developmental biology ,Glufosinate ,chemistry ,Protein toxicity ,Animal Science and Zoology ,Brown planthopper ,Agronomy and Crop Science ,010606 plant biology & botany ,Food Science - Abstract
In this study, the characteristic of three transformants named as B1C106-1, B1C106-2, and B1C106-3 were studied that carried three innate resistant genes Bph14, Bph15, and Xa23, and two enthetic resistant genes Cry1Ca# and Bar. The five resistant genes were all verified by PCR and the two enthetic genes were identified in single copy insertion by Southern blot. At tillering stage, the Cry1C and PAT (phosphinothricin acetyl transferase) protein contents in leaf, sheath, and stem of T2 generation were in the similar pattern: leaf>stem>sheath, and showed significant difference (P
- Published
- 2018
234. Polystyrene with a methoxytriphenylamine-conjugated-thiophene moiety side-chain as a dopant-free hole-transporting material for perovskite solar cells
- Author
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Yanqing Tian, Manman Hu, Jianchang Wu, Wenchang Tan, Chang Liu, Xiang Deng, and Baomin Xu
- Subjects
chemistry.chemical_classification ,Materials science ,Dopant ,Renewable Energy, Sustainability and the Environment ,Radical polymerization ,02 engineering and technology ,General Chemistry ,Polymer ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,Styrene ,chemistry.chemical_compound ,chemistry ,Chemical engineering ,Thiophene ,Moiety ,General Materials Science ,Polystyrene ,0210 nano-technology ,Perovskite (structure) - Abstract
A novel side-chain polymer was designed and synthesized by integrating a methoxytriphenylamine-conjugated-thiophene moiety as the hole transporting material (HTM) unit on a polystyrene side-chain (HTM–P1) by the radical polymerization of its relevant monomer (HTM–M1). These two materials and their similar model compound without the styrene moieties (HTM2) were used as the HTMs for perovskite solar cells (PSCs). The results showed that with similar device preparation and measurement conditions, the hole mobility of polymer HTM–P1 was about 3 times and 2.5 times that of HTM2 and HTM–M1, respectively. PSCs based on HTM–P1 as the dopant-free HTM afford an impressive highest power conversion efficiency of 17.2%, which is much higher than those obtained from HTM2 (3.2% without the dopant and 14.7% with the dopant) and HTM–M1 (9.7%). Moreover, the devices based on the HTM–P1 presented significantly higher stability than the device based on its model compound of HTM2. Hence, this study demonstrates that the side-chain polymer strategy is an effective approach to achieve high efficiency and highly stable PSCs using dopant-free HTMs.
- Published
- 2018
235. A metal–organic framework nanomaterial as an ideal loading platform for ultrasensitive electrochemiluminescence immunoassays
- Author
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Di Wu, Xiaomei Huang, Wenjing Qi, and Xiang Deng
- Subjects
Detection limit ,Nanocomposite ,Biocompatibility ,High conductivity ,Chemistry ,Nanotechnology ,02 engineering and technology ,General Chemistry ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,Catalysis ,0104 chemical sciences ,Nanomaterials ,Matrix (chemical analysis) ,Specific surface area ,Materials Chemistry ,Electrochemiluminescence ,0210 nano-technology - Abstract
An ultrasensitive sandwich-type electrochemiluminescent (ECL) immunosensor suitable for identifying carcinoembryonic antigens (CEAs) was developed, using a metal–organic framework nanomaterial (AuNP@NPCGO) as an ideal loading platform and Ru(phen)32+-doped silica nanoparticles (RuSiNPs) as ECL signaling units. The AuNP@NPCGO nanocomposites were synthesized via in situ deposition of AuNPs on NPCGO as this configuration exhibits high conductivity, strong fixed ability, and excellent stability. The use of RuSiNPs as signaling units provided numerous luminophores that enhanced the ECL signals. Besides the aminated RuSiNPs, which had a large specific surface area and good biocompatibility, functioned as a superior matrix for immobilizing numerous secondary antibodies (Ab2). The proposed ECL immunosensor demonstrated excellent performance for CEA detection at concentrations of 0.01 ng mL−1 to 80 ng mL−1 with a detection limit of 0.003 ng mL−1 at a signal-to-noise ratio of three.
- Published
- 2018
236. Geological and geochemical characteristics of marine-continental transitional shale from the Upper Permian Longtan formation, Northwestern Guizhou, China
- Author
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Xinchun Liu, Xiang Deng, Wen Luo, Rui Zhang, Hui Chao, Mingcai Hou, and Shuguang Huang
- Subjects
chemistry.chemical_classification ,Total organic carbon ,Permian ,020209 energy ,Stratigraphy ,Mineralogy ,Geology ,02 engineering and technology ,engineering.material ,010502 geochemistry & geophysics ,Oceanography ,01 natural sciences ,Geophysics ,chemistry ,Illite ,Facies ,Organic geochemistry ,0202 electrical engineering, electronic engineering, information engineering ,engineering ,Economic Geology ,Organic matter ,Clay minerals ,Oil shale ,0105 earth and related environmental sciences - Abstract
Organic-rich shale deposited in a marine-continental transitional facies was well developed in the upper Yangtze area during the Late Permian. It is considered to contain a large amount of shale hydrocarbon resources. This paper takes the Upper Permian Longtan shale in the central Guizhou uplift as an example to characterize the transitional shale reservoir. Based on organic geochemistry data, X-ray diffraction (XRD) analysis, and scanning electron microscopy (SEM) observation, the geochemical characteristics of this transitional shale were systematically studied and the shale gas potential was investigated. The results indicate that the Longtan shale has fair to good hydrocarbon potential with high total organic carbon (TOC) and contains type III gas-prone organic matter. Its high thermal maturity favors the generation of gas (Ro, 1.10%–2.74%). XRD analyses show that the mineral components of the transitional shale are dominated by high clay content (58.7 wt%). The clay minerals are dominated by illite (44%) and mixed illite/smectite (43%). SEM observation shows that intra-particle pores, inter-particle pores and microfracture were well developed in the Longtan shale, which can provide reservoir space for the accumulation of shale gas. Organic matter pores appear rare due to its organic type. In summary, the Longtan shale has high organic content, high maturation, and high gas content, all of which demonstrate its great potential as a shale-gas resource. But the high clay content of the Longtan shale may be a challenge to shale-gas production.
- Published
- 2018
237. A new rat model of cerebral infarction based on the injury of vascular endothelial cell
- Author
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Yi, Chen, Jin-wen, Ge, and Bing-xiang, Deng
- Published
- 2005
- Full Text
- View/download PDF
238. An object-oriented cryptosystem based on two-level reconfigurable computing architecture
- Author
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Yan-Xiang Deng, Chao-Jang Hwang, and Jiang-Lung Liu
- Subjects
Computer systems integration ,Network integration ,Computer systems integrator ,Computer systems integration -- Methods ,Computer systems integrators -- Usage - Published
- 2006
239. On the property of multivariate generalized hyperbolic distribution and the Stein-type inequality
- Author
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Xiang Deng and Jing Yao
- Subjects
Statistics and Probability ,Discrete mathematics ,Stein's lemma ,Multivariate statistics ,Pure mathematics ,050208 finance ,Hyperbolic secant distribution ,Distribution (number theory) ,05 social sciences ,01 natural sciences ,Normal-inverse Gaussian distribution ,010104 statistics & probability ,Linear inequality ,0502 economics and business ,Hyperbolic distribution ,Log sum inequality ,0101 mathematics ,Mathematics - Abstract
This note consists of two parts . In the first part, we provide a pedagogic review on the multivariate generalized hyperbolic (MGH) distribution. We show that this probability family is clo...
- Published
- 2017
240. Large spin rectifying and high-efficiency spin-filtering in superior molecular junction
- Author
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Yuan-Xiang Deng, Ke-Qiu Chen, Yun Zeng, Wu-Xing Zhou, and Shi-Zhang Chen
- Subjects
Condensed matter physics ,Chemistry ,Doping ,02 engineering and technology ,General Chemistry ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,01 natural sciences ,Electronic, Optical and Magnetic Materials ,Biomaterials ,chemistry.chemical_compound ,Rectification ,Zigzag ,0103 physical sciences ,Materials Chemistry ,Molecule ,Condensed Matter::Strongly Correlated Electrons ,Density functional theory ,Electrical and Electronic Engineering ,010306 general physics ,0210 nano-technology ,Acene ,Graphene nanoribbons ,Spin-½ - Abstract
By using density functional theory in combination with nonequilibrium Green's functions method, we design a molecular rectifier base on acene molecule, which is connected by the zigzag and armchair graphene nanoribbons (GNRs). The spin dependent electron transport studies show that the Large Rectification Ratios (10 4 ) and High-efficiency spin-filtering (100%) can be observed at low bias voltages. To further modulate the transport properties, we doped the device with N-pair in the different positions of acene molecule, and found that the rectification ratios are strongly dependent on the doping position. Interestingly, the perfect spin-filtering is still maintained in the doped devices. Our simulations suggest that the 4-acene supramolecular can be formed a promising nanoscale device.
- Published
- 2017
241. A knowledge-driven quasi-global registration of thoracic-abdominal CT and CBCT for image-guided interventions.
- Author
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Li Zhang 0024, Christophe Chefd'Hotel, Vincent Ordy, Jie Zheng, Xiang Deng, and Benjamin Odry
- Published
- 2013
- Full Text
- View/download PDF
242. Low‐Bandgap Organic Bulk‐Heterojunction Enabled Efficient and Flexible Perovskite Solar Cells
- Author
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Xinge Yu, Xin Wu, Zhen Li, Wallace C. H. Choy, Chunyi Zhi, Shengfan Wu, Yiming Liu, Jingkun Zhou, Xiang Deng, Alex K.-Y. Jen, Jie Zhang, and Zonglong Zhu
- Subjects
Materials science ,Organic solar cell ,Band gap ,business.industry ,Mechanical Engineering ,Energy conversion efficiency ,Hybrid solar cell ,Polymer solar cell ,Mechanics of Materials ,Optoelectronics ,General Materials Science ,business ,Layer (electronics) ,Perovskite (structure) ,Voltage - Abstract
Lead halide perovskite and organic solar cells (PSCs and OSCs) are considered as the prime candidates currently for clean energy applications due to their solution and low-temperature processibility. Nevertheless, the substantial photon loss in near-infrared (NIR) region and relatively large photovoltage deficit need to be improved to enable their uses in high-performance solar cells. To mitigate these disadvantages, low-bandgap organic bulk-heterojunction (BHJ) layer into inverted PSCs to construct facile hybrid solar cells (HSCs) is integrated. By optimizing the BHJ components, an excellent power conversion efficiency (PCE) of 23.80%, with a decent open-circuit voltage (Voc ) of 1.146 V and extended photoresponse over 950 nm for rigid HSCs is achieved. The resultant devices also exhibit superior long-term (over 1000 h) ambient- and photostability compared to those from single-component PSCs and OSCs. More importantly, a champion PCE of 21.73% and excellent mechanical durability can also be achieved in flexible HSCs, which is the highest efficiency reported for flexible solar cells to date. Taking advantage of these impressive device performances, flexible HSCs into a power source for wearable sensors to demonstrate real-time temperature monitoring are successfully integrated.
- Published
- 2021
243. Interfacial Engineering of Wide‐Bandgap Perovskites for Efficient Perovskite/CZTSSe Tandem Solar Cells
- Author
-
Xin Wu, Zhen Li, Yi Zhang, Deng Wang, Xiang Deng, Baomin Xu, Alex K.-Y. Jen, Zonglong Zhu, Hongling Guo, Francis Lin, and Fengzhu Li
- Subjects
Biomaterials ,Materials science ,Tandem ,Band gap ,business.industry ,Electrochemistry ,Optoelectronics ,Condensed Matter Physics ,business ,Interfacial engineering ,Electronic, Optical and Magnetic Materials ,Perovskite (structure) ,Non-radiative recombination - Published
- 2021
244. A clustering-based climatic zoning method for office buildings in China
- Author
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Zijing Tan, Meijing Tan, Xiang Deng, and Wenjing Chen
- Subjects
Computer science ,0211 other engineering and technologies ,Urban design ,Pattern analysis ,02 engineering and technology ,Building and Construction ,Energy consumption ,Energy requirement ,Civil engineering ,Mechanics of Materials ,021105 building & construction ,Architecture ,021108 energy ,Safety, Risk, Reliability and Quality ,Zoning ,China ,Cluster analysis ,Civil and Structural Engineering ,Efficient energy use - Abstract
Since the influence of building types has not taken into consideration, the current climatic zoning scheme of China may not fully reveal the real energy requirements, especially the annual energy consumption variation of different types of buildings. This study proposes a novel zoning method based on the clustering of building thermal load data of a typical office building. Thermal load simulations were performed under 274 cities’ meteorological conditions across China. Two widely used clustering algorithms : K-Means and Agglomerative Hierarchical Clustering were adopted and compared. Based on the inter-city clustering results, a new zoning map with five distinct zones for building thermal design was developed. To demonstrate the thermal load patterns, especially its dynamic characteristics, three representative cities from the three most densely populated zones were selected for intra-city clustering. The results demonstrate that K-Means method performed better in building thermal design zoning and thermal load pattern analysis, and the optimal thermal zone number is 5. The present zoning method could be applied to other building types and promotes an improvement of the existing zoning strategy. It benefits not only architects, but also building operators and policy makers for energy efficiency design and even green urban design.
- Published
- 2021
245. Structure-directing coordination template effect of ethylenediamine in formations of ZnS and ZnSe nanocrystallites via solvothermal route
- Author
-
Zhao-Xiang Deng, Cheng Wang, Xiao-Ming Sun, and Ya-Dong Li
- Subjects
Chemistry, Inorganic -- Research ,Zinc compounds -- Physiological aspects ,Sulfur compounds -- Physiological aspects ,Selenium compounds -- Physiological aspects ,Amino compounds -- Physiological aspects ,Ethylene compounds -- Physiological aspects ,Solvents -- Physiological aspects ,Chemistry - Abstract
Research has been conducted on the nanosized crystallites. The preparation of ZnS and ZnSe precursors via a solvothermal process with the ethylenediamine used as a solvent is described.
- Published
- 2002
246. The synthesis of nanocrystalline anatase and rutile titania in mixed organic media
- Author
-
Cheng Wang, Zhao-Xiang Deng, and Yadong Li
- Subjects
Chemistry, Inorganic -- Research ,Titanium -- Physiological aspects ,Titanium dioxide -- Physiological aspects ,Rutile -- Physiological aspects ,Alcohols -- Physiological aspects ,Chemistry - Abstract
Research has been conducted on the anatase and rutile titania. The synthesis of these compounds has been investigated and the results indicate that this synthesis can be achieved under mild conditions in the mixed organic media with different alcohols.
- Published
- 2001
247. Circular RNA circCCDC66 Contributes to Malignant Phenotype of Osteosarcoma by Sponging miR-338-3p to Upregulate the Expression of PTP1B
- Author
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Xiang, Deng, primary, Li, Yugang, additional, and Lin, Yanshui, additional
- Published
- 2020
- Full Text
- View/download PDF
248. Circular RNA DGKB Promotes the Progression of Neuroblastoma by Targeting miR-873/GLI1 Axis
- Author
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Yang, Jiale, primary, Yu, Leitao, additional, Yan, Jinlong, additional, Xiao, Yu, additional, Li, Weiming, additional, Xiao, Juhua, additional, Lei, Jun, additional, Xiang, Deng, additional, Zhang, Shouhua, additional, and Yu, Xin, additional
- Published
- 2020
- Full Text
- View/download PDF
249. The digital beam forming technique in AgileDARN high-frequency radar
- Author
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Jingye Yan, Ailan Lan, Hongbin Qiu, Wei Wang, J. J. Zhang, Ji Wu, and Xiang Deng
- Subjects
0106 biological sciences ,Beamforming ,010504 meteorology & atmospheric sciences ,Computer science ,Acoustics ,Super dual auroral radar network (SuperDARN) ,Aquatic Science ,01 natural sciences ,Radiation pattern ,law.invention ,Beamwidth ,law ,Radar ,Field-programmable gate array (FPGA) ,Ecology, Evolution, Behavior and Systematics ,Digital signal processing ,0105 earth and related environmental sciences ,Signal processing ,Ecology ,business.industry ,010604 marine biology & hydrobiology ,Direction of arrival ,Digital beam forming (DBF) ,Dolph-Chebyshev window ,Azimuth ,General Earth and Planetary Sciences ,Agile dual auroral radar network (AgileDARN) ,business - Abstract
An all-digital agile dual auroral radar network (AgileDARN) was developed by the National Space Science Center, Chinese Academic of Sciences (NSSC, CAS). AgileDARN can achieve higher performance and greater flexibility based on highly digitized hardware and its distributed digital signal processing system. Multiple receiving beams can be created within the transmitting beam pattern better to determine the direction of arrival (DOA). In each beam, seven real-time azimuthal sub-beams are synthesized simultaneously with 16 main digital receiver channels. Each sub-beam detects the echo around the transmitting boresight with an angular separation of 0.46°. Comparing the echoes from different sub-beams, the azimuthal geolocation of the irregularities can be improved when their volume is smaller than the beamwidth. Furthermore, the Chebyshev window enables the control of the sidelobes and antenna pattern, effectively suppressing interference. To implement multi-beam forming, extra processing resources of the field-programmable gate array (FGPA) are required. This paper introduces the signal processing procedure and analyzes the requirements on the FPGA resources,and the technique is validated with meteor echoes received by the AgileDARN radar. The azimuthal geolocation of echoes increases by seven times compared with the single beamforming SuperDARN radar.
- Published
- 2021
250. Numerical analysis of indoor thermal comfort in a cross-ventilated space with top-hung windows
- Author
-
Xiang Deng, Zhenjun Ma, Georgios Kokogiannakis, and Paul Cooper
- Subjects
Engineering ,business.industry ,020209 energy ,Airflow ,0211 other engineering and technologies ,Thermal comfort ,Window (computing) ,Natural ventilation ,02 engineering and technology ,Wind speed ,Taguchi methods ,Range (aeronautics) ,021105 building & construction ,Thermal ,0202 electrical engineering, electronic engineering, information engineering ,business ,Simulation ,Marine engineering - Abstract
Natural ventilation can be used in residential buildings in several Australian climatic zones and well-designed windows have the potential to facilitate indoor thermal comfort by allowing occupants to control volumetric outdoor airflow and indoor air velocities. Top-hung window is one of the most popular window types in Australia. This paper investigates the effect of the attributes of top-hung windows (i.e. window length, aspect ratio, height above the ground, window opening angle and the fly screen porosity) and outdoor air conditions (i.e. outdoor air temperature, wind speed and direction) on indoor thermal comfort during cross ventilation using CFD simulations. The Taguchi method was used to design the simulation scenarios and analysis of variance was used to determine the most significant factors influencing thermal comfort optimisation so as to reduce the number of CFD simulation cases. For the range of parameters considered and a particular case study building, results show that outdoor air temperature, window height and window opening angle are the most important factors influencing indoor thermal comfort in this room. The optimal window configurations for indoor thermal comfort of the case study building are also identified using a signal-to-noise ratio analysis.
- Published
- 2017
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