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Multi-objective optimal operation of hybrid AC/DC microgrid considering source-network-load coordination

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Journal of Modern Power Systems and Clean Energy 2019年第5期7卷 1229-1240页

作者： peng LI Miaomiao zheng School of Electrical and Electronic Engineering North China Electric Power UniversityBaoding 071003China

Taking the consumption rate of renewable energy and the operation cost of hybrid AC/DC microgrid as the optimization objectives,the adjustment of load demand curves is carried out considering the demand side response(DSR)on the load *** complementary utilization of renewable energy between AC area and DC area is achieved to meet the load demand on the source *** the network side,the hybrid AC/DC microgrids purchase electricity from the power grid at the time-of-use(TOU)price and sell the surplus power of renewable energy to the power grid for *** improved memetic algorithm(IMA)is introduced and applied to solve the established mathematical *** promotion effect of the proposed source-network-load coordination strategies on the optimal operation of hybrid AC/DC microgrid is verified.

关键词： Source-network-load coordination Optimal operation Improved memetic algorithm Hybrid AC/DC microgrid Complementary utilization

Surface micro-arrays enhancing electromagnetic interference shielding of polydimethylsiloxane/multiwalled carbon nanotubes nanocomposites

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Nano Research 2025年第1期18卷 508-519页

作者： Ke Jiang Zhi Chen Ji Yu Chen zheng Shan Huang Ming Wang Chongqing Key Laboratory of Soft-Matter Material Manufacturing School of Chemistry and Chemical EngineeringSouthwest UniversityChongqing 400715China School of Mechanics Civil Engineering and ArchitecturesNorthwestern Polytechnical UniversityXi’an 710072China Jieyang Branch of Chemistry and Chemical Engineering Guangdong Laboratory(Rongjiang Laboratory) Jieyang 515200China

Herein,the electromagnetic shielding performance of surface concave-convex(SC)and zig-zag micro-arrays was studied by using a simulation prediction and a three-dimensional(3D)printing custom ***,surface stripe concaveconvex(SSC)and surface cylindrical concave-convex(SCC)micro-arrays with or without zig-zag micro-arrays are designed,and their shielding performance is simulated in multi-bands(C-,X-band).The multiwalled carbon nanotubes/polydimethylsiloxane composites(MWCNT/PDMS)with different SC structures and different electrical conductivity are molded in acrylonitrile-butadiene-styrene copolymer(ABS)molds which are printed by a 3D *** results show that the electromagnetic interference shielding effectiveness(EMI SE)of the samples can be enhanced by constructing the SC micro-arrays with zig-zag micro-arrays,and improving with the increase of conductivity and *** addition,the shielding mechanism of the SC-MWCNT/PDMS composites is investigated and discussed by an electromagnetic simulation.

关键词： surface micro-arrays electrical properties electromagnetic interference(EMI)shielding three-dimensional(3D)printing

A Novel Self-Supervised Learning Network for Binocular Disparity Estimation

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 209-229页

作者： Jiawei Tian Yu Zhou Xiaobing Chen Salman A.AlQahtani Hongrong Chen Bo Yang Siyu Lu Wenfeng zheng Department of Computer Science and Engineering Major in Bio Artificial IntelligenceHanyang UniversityAnsan-si15577Republic of Korea School of Electrical and Computer Engineering Louisiana State UniversityBaton RougeLA 70803USA Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11574Saudi Arabia School of Automation University of Electronic Science and Technology of ChinaChengdu610054China

Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical *** study proposes a novel end-to-end disparity estimation model to address these *** approach combines a Pseudo-Siamese neural network architecture with pyramid dilated convolutions,integrating multi-scale image information to enhance robustness against lighting *** study introduces a Pseudo-Siamese structure-based disparity regression model that simplifies left-right image comparison,improving accuracy and *** model was evaluated using a dataset of stereo endoscopic videos captured by the Da Vinci surgical robot,comprising simulated silicone heart sequences and real heart video *** results demonstrate significant improvement in the network’s resistance to lighting interference without substantially increasing ***,the model exhibited faster convergence during training,contributing to overall performance *** study advances endoscopic image processing accuracy and has potential implications for surgical robot applications in complex environments.

关键词： Parallax estimation parallax regression model self-supervised learning Pseudo-Siamese neural network pyramid dilated convolution binocular disparity estimation

Comprehensive bibliometric analysis of pharmacotherapy for bipolar disorders:Present trends and future directions

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World Journal of Psychiatry 2025年第1期15卷 153-167页

作者： Bo-Fan Chen Li Liu Fang-Zhen Lin Hai-Min Zeng Hai-Qiang Huang Chun-Fang Zhang Cong-Cong Liu Xiang Chen Jie peng Yun-Fa Wang Zhi-Lin Wang Bin Chen De-Le Liu Yun Liu zheng-zheng Li Xin-Xing Zeng The Second Affiliated Hospital Jiangxi Medical CollegeNanchang UniversityNanchang 330006Jiangxi ProvinceChina The Second Clinical Medical College Jiangxi Medical CollegeNanchang UniversityNanchang 330006Jiangxi ProvinceChina Department of Rehabilitation Medicine The Second Affiliated HospitalJiangxi Medical CollegeNanchang UniversityNanchang 330006Jiangxi ProvinceChina Jiangxi Provincial People’s Hospital The First Affiliated Hospital of Nanchang Medical CollegeNanchang 330006Jiangxi ProvinceChina Department of Psychiatry Jiangxi Mental HospitalHospital of Nanchang UniversityNanchang UniversityNanchang 330029Jiangxi ProvinceChina

BACKGROUND Bipolar disorder(BD)is a severe mental illness characterized by significant mood *** drug treatment modalities are crucial for managing *** To analyze the current status and future trends of global research on BD drug treatment over the last *** The Web of Science Core Collection database spanning from 2015 to 2024 was utilized to retrieve literature related to BD drug treatment.A total of 2624 articles were *** visualization and analysis were conducted using CiteSpace,VOSviewer,Pajek,Scimago Graphica,and R-studio bibliometrix to identify RESULTS The United States,China,and the United Kingdom have made the most significant contributions to research on BD drug treatment and formed notable research collaboration *** University of Pittsburgh,Massachusetts General Hospital,and the University of Michigan have been identified as the major research institutions in this *** Journal of Affective Disorders is the most influential journal.A keyword analysis revealed research hotspots related to clinical symptoms,drug efficacy,and genetic mechanisms.A citation analysis identified the management guidelines published by Yatham et al in 2018 as the most cited *** This study provides a detailed overview of the field of BD drug treatment,highlighting key contributors,research hotspots,and future *** study findings can be employed as a reference for future research and policymaking,which may enable further development and optimization of BD pharmacotherapy.

关键词： Bipolar disorder Drug treatment Bibliometric analysis Visualization Mental disorder

Electric potential and apparent resistivity in rocks containing non-uniformly distributed cracks

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Acta Seismologica Sinica(English Edition) 2001年第3期14卷 315-324页

作者： peng Zi-zheng Seismological Bureau of Jiangxi Province Nanchang China Seismological Bureau of Shaansi Province Xi’an China

In this paper, the formula of electric field distribution and ground apparent resistivity of high resistance rock medium containing low resistance crack are deduced and simulated. The result shows that interstitial parameters, such as buried depth, scale, strike, and real resistivity, etc, have influence on observation and computing result of apparent resistivity. This study provided a useful foundation for earthquake prediction using apparent resistivity method.

关键词： crack rock electric potential apparent resistivity

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组织学习效果的模糊评价

上海大学学报（自然科学版） 2001年第S1期7卷 24-27页

作者：许学国彭正龙上海大学国际工商与管理学院上海201800 同济大学经济与管理学院上海200092

提出了一个以模糊数学为工具的组织学习效果评价模型 ,并对其指标体系的设计、数学建模进行了详细的探讨。

关键词：组织学习模糊评价模型

Physiological response and phenolic metabolism in tomato (Solanum lycopersicum) mediated by silicon under Ralstonia solanacearum infection

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Journal of Integrative Agriculture 2018年第10期17卷 2160-2171页

作者： FAN xue-ying LIN Wei-peng LIU Rui JIANG Ni-hao CAI Kun-zheng College of Natural Resources and Environment/Key Laboratory of Tropical Agro-environment Ministry of Agriculture South China Agricultural University Laboratory of Ecotoxicity and Environmental Safety Guangdong Detection Center of Microbiology Guangdong Institute of Microbiology Tea Research Institute Guangdong Academy of Agricultural Sciences

Bacterial wilt, caused by Ralstonia solanacearum（Rs） is a serious soil-borne disease and silicon can enhance tomato resistance against this disease. However, few studies have focused on the mechanisms of Si-mediated pathogen resistance from the rhizosphere perspective. In this study, two tomato genotypes, HYT（susceptible） and H7996（resistant）, were used to investigate the effects of silicon application on disease inhibition, root growth, and organic acid content in both roots and root exudates under R. solanacearum infection. The results showed that Si application significantly suppressed bacterial wilt in HYT, but had no effect in H7996. Silicon concentrations in roots, stems and leaves of tomato were significantly increased by Si treatment under R. solanacearum inoculation. In HYT, Si application increased root dry weight by 22.8-51.6% and leaf photosynthesis by 30.6-208.0%, and reduced the concentrations of citric acid in root exudates by 71.4% and in roots by 83.5%. However, organic acids did not influence R. solanacearum growth. Results also demonstrated that salicylic acid（SA） content in roots was significantly increased by silicon addition for H7996 and exogenous SA application could reduce bacterial wilt disease index. Collectively, these results suggest that Si-modulated phenolic compound metabolism in roots or root exudates, especially citric acid and SA, may be a potential mechanism in the amelioration of bacterial wilt disease by Si.

关键词： silicon root root exudates Solanum lycopersicum Ralstonia solanacearum organic acids

Silicon impacts on soil microflora under Ralstonia Solanacearum inoculation

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Journal of Integrative Agriculture 2020年第1期19卷 251-264页

作者： LIN Wei-peng JIANG Ni-hao peng Li FAN xue-ying GAO Yang WANG Guo-ping CAI Kun-zheng College of Natural Resources and Environment South China Agricultural UniversityGuangzhou 510642P.R.China Tea Research Institute Guangdong Academy of Agricultural SciencesGuangzhou 510640P.R.China Key Laboratory of Tropical Agricultural Environment in South China Ministry of AgricultureGuangzhou 510642P.R.China College of Agriculture South China Agricultural UniversityGuangzhou 510642P.R.China College of Horticulture South China Agricultural UniversityGuangzhou 510642P.R.China

Silicon(Si) can increase plant resistance against bacterial wilt caused by Ralstonia solanacearum and enhance plant immune response. However, whether Si alleviates soil-borne disease stress through altering soil microbial community component and diversity is not clear. In this study, effects of Si application under R. solanacearum inoculation with or without plant on soil bacterial and fungal communities were investigated through high-throughput pyrosequencing technique. The results showed that Si addition significantly reduced bacterial wilt incidence. However, Si did not reduce the amount of R. solanacearum in rhizosphere soil. Principal components analysis showed that soil microbial community composition was strongly influenced by Si addition. Total 63.7% bacterial operational taxonomic units(OTUs) and 43.8% fungal OTUs were regulated by Si addition regardless of the presence of tomato plants, indicating the independent effects of Si on soil microbial community. Si-added soil harbored a lower abundance of Fusarium, Pseudomonas, and Faecalibacterium. Our finding further demonstrated that exogenous Si could significantly influence soil microbial community component, and this may provide additional insight into the mechanism of Si-enhanced plant resistance against soil-borne pathogens.

关键词： bacterial wilt deep pyrosequencing Ralstonia solanacearum silicon soil microbial community

A detailed analysis of primal attack and its variants

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Science China(Information Sciences) 2022年第3期65卷 182-195页

作者： xue ZHANG Zhongxiang zheng Xiaoyun WANG Institute for Advanced Study Tsinghua University Key Laboratory of Cryptologic Technology and Information Security Ministry of Education Shandong University

Primal attack is a typically considered strategy to estimate the hardness of cryptosystem based on learning with errors problem（LWE）, it reduces the LWE problem to the unique-SVP by embedding technique and then employs lattice reduction such as BKZ to find the shortest vector. The main reason for the popularity of primal attack is its conservative estimation, in general, the complexity of primal attack is estimated by the hardness of core-SVP as T = 20.292 b. In this work, we first revisit primal attack and give supplemental proof of the scaling factor in Bai-Galbraith embedding, whose value was given according to the experimental results. Then we refine primal attack in two special cases and analyze the variants in detail. One is that, for sparse secret LWE（or sparse secret-error LWE）, primal attack with dropping makes a trade-off between guessing zero components and solving dimension-reduced problems to improve the complexity. The other is that, when TBKZ（b） = poly（d） · TSieve（b） holds in practice, primal attack with preprocessing reduces the time complexity by a factor of 2;–2;through dividing primal attack into three steps and considering them independently.

关键词： cryptanalysis lattice-based cryptography learning with errors problem primal attack unique-SVP

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