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14,429 results on '"Wu, Dan"'

168. Microwave heating and devolatilization characteristics of polyethylene particles in a fixed-bed devolatilizer

Author

Wu, Dan, Huang, Zhengliang, Yang, Yao, Shuai, Yun, Ren, Congjing, Sun, Jingyuan, Wang, Jingdai, and Yang, Yongrong

Subjects
Polyethylene, Temperature measurements, Engineering and manufacturing industries, Science and technology
Abstract

Abstract A new method of microwave-enhanced devolatilization has been proposed to solve the problem that volatiles of polyethylene particles are difficult to remove. Using water as microwave susceptor in a [...]

Published
2023
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179. Research on the Application of Mediation Model Based on Deep Learning in Dispute Resolution

Author

Wu Dan, Zuo Xiangbin, and Ding Huanhuan

Subjects
Dispute resolution, mediation model, deep learning, attention-based LSTM, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

This study explores the application and practical effects of a mediation model based on deep learning in dispute resolution. Traditional dispute resolution methods are limited by human resources and time costs, whereas deep learning technology provides new possibilities for dispute resolution with its ability to automatically extract data features and perform efficient learning and prediction. This study constructs an Attention-based LSTM (Long Short-Term Memory) model to achieve automated analysis and processing of dispute cases, aiming to improve the efficiency and accuracy of dispute mediation. Experiments show that the constructed Attention-based LSTM model can achieve 92.5% accuracy in the verification set when dealing with the dispute mediation task, and has high performance in the evaluation indexes such as recall, precision and F1 value. The model can not only accurately classify dispute cases as mediation success or mediation failure, but also capture key events and emotional tendencies in the text, providing valuable reference for the mediation process. In addition, the influence of different parameter settings on the performance of Attention-based LSTM is also discussed, and the advantages of Attention-based LSTM in dealing with long texts and complex semantic relationships are further verified through comparative experiments with other text classification models. The introduction of attention mechanism enables the model to focus on the key information in the text, thus improving the understanding ability of complex and long-length texts. This is particularly important when dealing with social conflicts and disputes, because these events often involve a lot of background information and detailed descriptions. The main contribution of our research is to develop a novel mediation model based on deep learning, which significantly improves the efficiency and accuracy of dispute classification. By automating the classification process, we aim to reduce the workload of mediators and reduce the possibility of human error in event classification.The mediation model based on deep learning shows great potential and application prospect in dispute settlement. This study not only provides a new automatic and intelligent means for dispute mediation, but also opens up a new direction for the application of deep learning in the legal field.

Published
2024
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188. Chiral perovskite-CdSe/ZnS QDs composites with high circularly polarized luminescence performance achieved through additive-solvent engineering.

Author

Zhu, Hongmei, Wang, Qingqian, Chen, Wei, Sun, Kun, Zhong, Huaying, Ye, Taikang, Wang, Zhaojin, Zhang, Wenda, Müller-Buschbaum, Peter, Sun, Xiao Wei, Wu, Dan, and Wang, Kai

Subjects
LUMINESCENCE, QUANTUM dots, CHIRALITY of nuclear particles, PEROVSKITE, PHOTOLUMINESCENCE
Abstract

Chiral perovskite materials are being extensively studied as one of the most promising candidates for circularly polarized luminescence (CPL)-related applications. Balancing chirality and photoluminescence (PL) properties is of great importance for enhancing the value of the dissymmetry factor (glum), and a higher glum value indicates better CPL. Chiral perovskite/quantum dot (QD) composites emerge as an effective strategy for overcoming the dilemma that achieving strong chirality and PL in chiral perovskite while at the same time achieving high glum in this composite is very crucial. Here, we choose diphenyl sulfoxide (DPSO) as an additive in the precursor solution of chiral perovskite to regulate the lattice distortion. How structural variation affects the chiral optoelectronic properties of the chiral perovskite has been further investigated. We find that chiral perovskite/CdSe–ZnS QD composites with strong CPL have been achieved, and the calculated maximum |glum| of the composites increased over one order of magnitude after solvent-additive modulation (1.55 × 10−3 for R-DMF/QDs, 1.58 × 10−2 for R-NMP-DPSO/QDs, −2.63 × 10−3 for S-DMF/QDs, and −2.65 × 10−2 for S-NMP-DPSO/QDs), even at room temperature. Our findings suggest that solvent-additive modulation can effectively regulate the lattice distortion of chiral perovskite, enhancing the value of glum for chiral perovskite/CdSe–ZnS QD composites. [ABSTRACT FROM AUTHOR]

Published
2024
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