A device Foer PROVTAGNING UR Net Asset INNEHAOLLANDE FAST AEMNE.

• 1. 用于分离可泵送的、包含固体的液体焦油悬浮物并且利用被分离的原本包含在其中的固体而不需要对其进行输送的设备和方法 [P] . 中国专利： CN102695780A . 2012-09-26
• 2. 用于对待处理污物中包含的固体进行减湿和压缩的设备 [P] . 中国专利： CN101605731B . 2013.02.06
• 3. A device Foer PROVTAGNING UR Net Asset INNEHAOLLANDE FAST AEMNE. [P] . FI79196B . 1989-07-31

  机译： 一种从包含固体对象的净资产进行采样的设备。

• 4. anordning foer provtagning ur substans innehaollande fast aemne. [P] . FI871781A . 1988-10-24

  机译： 从含有固体的物质中取样的装置。

• 5. anordning foer provtagning ur substans innehaollande fast aemne. [P] . FI871781A0 . 1987-04-23

  机译： 从含有固体的物质中取样的装置。

• 1. Magnetic Configuration Effects on Fast Ion Losses Induced by Fast Ion Driven Toroidal Alfv~n Eigenmodes in the Large Helical Device [J] . K. OGAWA, M. ISOBE, K. TOI, 等离子体科学和技术（英文版） . 2012,第004期
• 2. The role and its mechanism of intermittent fasting in tumors:friend or foe? [J] . Xu Zhao, Jing Yang, Ruoyu Huang, 癌症生物学与医学：英文版 . 2021,第001期
• 3. The role and its mechanism of intermittent fasting in tumors: friend or foe? [J] . Xu Zhao, Jing Yang, Ruoyu Huang, 癌症生物学与医学（英文版 ） . 2021,第001期
• 4. Simulations of ALT-like explosive magnetic devices for ramp compression of materials by magnetically imploded liners [J] . A.M.Buyko, G.G.Ivanova, I.V.Morozova 极端条件下的物质与辐射（英文） . 2020,第004期
• 5. Multi-network Technology Cloud-Based Asset-Tracking Platform for IoT Devices [C] . Francesco Lubrano, Davide Sergi, Fabrizio Bertone, International Conference on Complex, Intelligent, and Software Intensive Systems;International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing . 2021
• 6. Methodologies and algorithms for fast finite-element analysis of electromagnetic devices and systems. [D] . Zhu, Yu. 2002
• 7. The role and its mechanism of intermittent fasting in tumors: friend or foe? [O] . Xu Zhao, Jing Yang, Ruoyu Huang, 2021
• 8. Triggered infrared emitter displays for individual identify friend-or-foe (IIFF) and vehicular mounted indentify friend-or-foe (VMIFF) devices. [O] . Williams Patrick S. 2007

• 1. Skewness Based Elman Recurrent Neural Network Model for Classification of Cavitation Signals from Pressure Drop Devices of Prototype Fast Breeder Reactor [J] . Ramadevi Rathinasabapathy ,Sheela Rani Balasubramaniam ,Prakash Vasudevan . 通讯和计算机 . 2011,第007期
• 2. 一种包含异常处理结构的面向对象切片方法 [C] . 郝杰 ,姜淑娟 . 2011年江苏省人工智能学术会议 . 2011
• 3. RFID空间中移动对象包含关系探测技术的研究 [A] . 李晓迪 . 2014