Institution
Xi'an Jiaotong University
Education•Xi'an, China•
About: Xi'an Jiaotong University is a education organization based out in Xi'an, China. It is known for research contribution in the topics: Heat transfer & Dielectric. The organization has 85440 authors who have published 99682 publications receiving 1579683 citations. The organization is also known as: '''Xi'an Jiaotong University''' & Xi'an Jiao Tong University.
Topics: Heat transfer, Dielectric, Microstructure, Computer science, Population
Papers published on a yearly basis
Papers
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TL;DR: Based on seasonal weather classification, the back propagation (BP) artificial neural network (ANN) approach is utilized to forecast the next 24-h PV power outputs, and the estimated results of the proposed PV power forecasting model coincide well with measurement data as discussed by the authors.
Abstract: Due to the intermittency and randomness of solar photovoltaic (PV) power, it is difficult for system operators to dispatch PV power stations. In order to find a precise expectation for day-ahead PV power generation, conventional models have taken into consideration the temperature, humidity, and wind speed data for forecasting, but these predictions were always not accurate enough under extreme weather conditions. Aerosol index (AI), which indicates the particulate matter in the atmosphere, has been found to have strong linear correlation with solar radiation attenuation, and might have potential influence on the power generated by PV panels. A novel PV power forecasting model is proposed in this paper, considering AI data as an additional input parameter. Based on seasonal weather classification, the back propagation (BP) artificial neural network (ANN) approach is utilized to forecast the next 24-h PV power outputs. The estimated results of the proposed PV power forecasting model coincide well with measurement data, and the proposed model has shown the ability of improving prediction accuracy, compared with conventional methods using ANN.
289 citations
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TL;DR: This paper establishes lower bounds for the absolute value of nonzero entries in every local optimal solution of the model, which can be used to indentify zero entries precisely in any numerical solution, and develops a lower bound theorem to classify zero and non zero entries inevery local solution.
Abstract: Recently, variable selection and sparse reconstruction are solved by finding an optimal solution of a minimization model, where the objective function is the sum of a data-fitting term in $\ell_2$ norm and a regularization term in $\ell_p$ norm $(0
289 citations
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University of Düsseldorf1, University of Washington2, European Bioinformatics Institute3, German Cancer Research Center4, University of Michigan5, Broad Institute6, Harvard University7, Yale University8, Xi'an Jiaotong University9, University of Alabama at Birmingham10, University of Southern California11, University of Santiago de Compostela12, University of Maryland, Baltimore13, Temple University14, Pacific Biosciences15, Saarland University16, Max Planck Society17, Washington University in St. Louis18, University of Chicago19, Ewha Womans University20
TL;DR: In this article, the authors present 64 assembled haplotypes from 32 diverse human genomes, which integrate all forms of genetic variation, even across complex loci, and identify 107,590 structural variants (SVs), of which 68% were not discovered with short-read sequencing.
Abstract: Long-read and strand-specific sequencing technologies together facilitate the de novo assembly of high-quality haplotype-resolved human genomes without parent-child trio data. We present 64 assembled haplotypes from 32 diverse human genomes. These highly contiguous haplotype assemblies (average minimum contig length needed to cover 50% of the genome: 26 million base pairs) integrate all forms of genetic variation, even across complex loci. We identified 107,590 structural variants (SVs), of which 68% were not discovered with short-read sequencing, and 278 SV hotspots (spanning megabases of gene-rich sequence). We characterized 130 of the most active mobile element source elements and found that 63% of all SVs arise through homology-mediated mechanisms. This resource enables reliable graph-based genotyping from short reads of up to 50,340 SVs, resulting in the identification of 1526 expression quantitative trait loci as well as SV candidates for adaptive selection within the human population.
289 citations
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TL;DR: Popularity of FDD applications in NPPs will continuously increase as FDD theories advance and the safety and reliability requirement for NPP tightens.
289 citations
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TL;DR: Poly(urea-urethane) thermosets containing the 1-tert-butylethylurea (TBEU) structure feature a reversible dissociation/association process of their covalent linkages under mild conditions that maintains their malleability after curing.
Abstract: Poly(urea-urethane) thermosets containing the 1-tert-butylethylurea (TBEU) structure feature a reversible dissociation/association process of their covalent linkages under mild conditions. Unlike conventional thermosets, TBEU-based poly(urea-urethane) thermosets maintain their malleability after curing. Under high temperature (100 °C) and applied pressure (300 kPa), ground TBEU thermoset powder can be remolded to bulk after 20 min.
288 citations
Authors
Showing all 86109 results
Name | H-index | Papers | Citations |
---|---|---|---|
Feng Zhang | 172 | 1278 | 181865 |
Yang Yang | 164 | 2704 | 144071 |
Jian Yang | 142 | 1818 | 111166 |
Lei Zhang | 130 | 2312 | 86950 |
Yang Liu | 129 | 2506 | 122380 |
Jian Zhou | 128 | 3007 | 91402 |
Chao Zhang | 127 | 3119 | 84711 |
Bin Wang | 126 | 2226 | 74364 |
Xin Wang | 121 | 1503 | 64930 |
Bo Wang | 119 | 2905 | 84863 |
Xuan Zhang | 119 | 1530 | 65398 |
Jian Liu | 117 | 2090 | 73156 |
Andrey L. Rogach | 117 | 576 | 46820 |
Yadong Yin | 115 | 431 | 64401 |
Xin Li | 114 | 2778 | 71389 |