国家科技图书文献中心 石家庄服务站
首页
资源导航
特色服务
知识发现
关于我们
检索
代查代借

检索历史
浏览历史

订阅
收藏
0 申请单

个人中心
账号设置
充值
全部 |
  • 全部
  • 题名
  • 作者
  • 机构
  • 关键词
  • NSTL主题词
  • 摘要
检索 二次检索 AI检索
高级检索
外文文献 中文文献
筛选条件：

共搜索到14057条信息
?

1. Semi-analytical study on the hydrodynamic performance of an integrated wave energy extraction system consisting of a heaving buoy over a sill and a Jarlan-type breakwater NSTL国家科技图书文献中心

Yang C. |  Lu Z.... -  《Ocean engineering》 - 2025,316(Jan.15) - 1.1～1.24 - 共24页

摘要：© 2024A study was conducted on an integrated wave energy extraction (IWEE) system, which includes a heaving wave energy converter (WEC) and a Jarlan-type breakwater, using the linear potential flow th...
关键词： Energy extraction performance |  Hydrodynamic efficiency |  Integrated wave energy extraction system |  Jarlan-type breakwater |  Reef topography |  Semi-analytical study
文献传递获取全文
文献传递
收藏

2. Electric vehicles, load response, and renewable energy synergy: A new stochastic model for innovation strategies in green energy systems NSTL国家科技图书文献中心

Yang C. |  Li X.... -  《Renewable energy》 - 2025,238(Jan.) - 1.1～1.12 - 共12页 - 被引量：1

摘要：© 2024 Elsevier LtdThis paper presents a novel stochastic model for optimizing the integration of electric vehicles (EVs) in load response programs within smart grids. The model addresses uncertaintie...
关键词： Electric vehicles |  Grid stability |  Load response |  Risk management |  Smart grids
文献传递获取全文
文献传递
收藏

3. A novel two-step Ru/Al2O3 catalyst impregnation method for CO selective methanation NSTL国家科技图书文献中心

Yang C. |  Guo F.... -  《International journal of hydrogen energy》 - 2025,97(Jan.) - 845～855 - 共11页

摘要：© 2024 Hydrogen Energy Publications LLCCO selective methanation (CO-SMET) is an important method for removing CO from reforming gases. Ru/Al2O3 catalyst prepared by the conventional impregnation metho...
关键词： Catalytic activity |  CO selective methanation |  Eggshell-type catalysts |  Ru/Al2O3
文献传递获取全文
文献传递
收藏

4. LAAP: Learning the Argument of An Entity with Event Prompts for document-level event extraction NSTL国家科技图书文献中心

Xu J. |  Kang X.... -  《Neurocomputing》 - 2025,613(Jan.14) - 1.1～1.11 - 共11页

摘要：© 2024 Elsevier B.V.Document-level Event Extraction (DEE) aims to identify event types within a document and extract their corresponding arguments, which is essential for structured information provis...
关键词： Deep learning |  Event extraction |  Information extraction |  Information retrieval |  Natural Language Processing
文献传递获取全文
文献传递
收藏

5. A graph and diffusion theory-based approach for localization and recovery of false data injection attacks in power systems NSTL国家科技图书文献中心

He Y. |  Wang J.... -  《Electric Power Systems Research》 - 2025,239(Feb.) - 1.1～1.12 - 共12页

摘要：© 2024 Elsevier B.V.False Data Injection Attacks (FDIAs) pose a serious threat to power systems by interfering with state estimation and jeopardizing their safety and reliability. Detecting and recove...
关键词： Data recovery |  Denoising diffusion graph models |  Denoising diffusion implicit models |  FDIA localization |  Line graph |  Line message passing neural network
文献传递获取全文
文献传递
收藏

6. Characterization of key flavor compounds in cinnamon bark oil extracts using principal component analysis NSTL国家科技图书文献中心

Xing J. |  Yang C.... -  《Food Research International》 - 2025,200(Jan.) - 1.1～1.10 - 共10页

摘要：© 2024 Elsevier LtdCinnamon is a widely used spice, known for its distinctive flavor and aromatic properties. Due to its lignified structure, the release of flavor components typically requires prolon...
关键词： Cinnamon |  Evaluation model |  Flavor compounds |  GC-O |  HS-SPME-GC/MS |  OAV
文献传递获取全文
文献传递
收藏

7. QSIM: A Quantum-inspired hierarchical semantic interaction model for text classification NSTL国家科技图书文献中心

Gao H. |  Zhang P.... -  《Neurocomputing》 - 2025,611(Jan.1) - 1.1～1.15 - 共15页 - 被引量：1

摘要：© 2024Semantic interaction modeling is a fundamental technology in natural language understanding that guides models to extract deep semantic information from text. Currently, the attention mechanism ...
关键词： Attention mechanism |  Entanglement entropy |  Quantum language model |  Schmidt decomposition
文献传递获取全文
文献传递
收藏

8. Credible joint chance-constrained low-carbon energy Management for Multi-energy Microgrids NSTL国家科技图书文献中心

Cao Z. |  Li Z.... -  《Applied energy》 - 2025,377(Jan.1 Pt.A) - 1.1～1.18 - 共18页 - 被引量：1

摘要：© 2024 Elsevier LtdMulti-energy microgrids (MEMGs) exhibit bright prospects in improving integrated energy utilization efficiency and achieving low-carbon sustainable development. However, the uncerta...
关键词： Credible composite ambiguity set |  Distributionally robust joint chance constraint |  Multi-energy microgrid |  Sample-pruning |  Uncertainty propagation
文献传递获取全文
文献传递
收藏

9. Improving the adsorption of cloud concrete stone porous aggregate to phase change materials by alkali modification NSTL国家科技图书文献中心

Zhang D. |  Yang C.... -  《Materials Letters》 - 2025,380(Feb.1) - 1.1～1.5 - 共5页

摘要：© 2024In this paper, the pore structure of cloud concrete stone (CCS) was optimized by alkaline hydrothermal treatment to improve its adsorption capacity for phase change materials (PCMs), thus enhanc...
关键词： Alkali modified aggregate |  Cloud concrete stone |  Microstructure |  Phase change material |  Pore characteristics
文献传递获取全文
文献传递
收藏

10. Novel nanoparticle composed by Ovalbumin-OSA modified pectin-rutin for improving the stability of Monascus pigments NSTL国家科技图书文献中心

Yang C. |  Yu W.... -  《Food hydrocolloids》 - 2025,158(Jan.) - 1.1～1.10 - 共10页

摘要：© 2024 Elsevier LtdTo improve the resistance of Monascus pigments (MPs) to adverse environmental factors, a nanoparticle carrier was constructed using ovalbumin, rutin and pectin modified by octenyl s...
关键词： Monascus pigments |  Ovalbumin |  Pectin |  Rutin |  Stability
文献传递获取全文
文献传递
收藏

相关推荐

检索结果集分析
检索结果集分析
结构化综述分析
检索条件作者：Yang C.

  • 检索词扩展

NSTL主题词

  • NSTL学科导航

服务站

成员单位

友情链接

NSTL官方微信

官方微信

NSTL安卓APP

安卓APP

服务热线：

4008-161-200 800-990-8900

国家科技图书文献中心

国家科技图书文献中心

京ICP备10027328号

© Copyright(C)2023 NSTL.All Rights Reserved 版权所有

石家庄服务站

0311-85813912；0311-85813908service@nstl.gov.cn

地址：石家庄市青园街233号 河北省科学技术情报研究院

页面总访问量：7955854