164 Linh kiện thay thế ĐỘNG cơ DU LỊCH TM40VD DÒNG REXROTH 165 Phụ tùng thay thế A4V40 166 Phụ tùng thay thế A4V56 167 Phụ tùng thay thế A4V71 168 Phụ tùng thay thế A4V125 169 Phụ tùng thay th...
电传动入TM921。 TH14机械制造用材料 TH140一般性问题 山东科技大学先进制造技术研究中心 1 TH142金属材料 TH145非金属材料 +1硅酸盐材料 +2石棉 +3石墨 +1木材 +2皮革 +3织材料 +4纸 +1橡胶 +2塑料 TH16机械制造工艺 TH161机械加工精度理论
电传动入TM921。 TH14机械制造用材料 TH140一般性问题 TH140.1强度 TH140.2硬度 TH140.7材料试验 TH140.8材料利用及节约材料方法 TH142金属材料 TH142.1黑色金属材料 TH142.2合金材料 TH142.3有色金属材料 TH142.8超导材料 TH145非金属材料 TH145.1无机材料 TH145.1+1硅酸盐材料 TH145.1+2石棉 TH145.1+3石墨 TH145.2...
+3 滑阀式 TH138.8+1 滤清器 TH137.53+4 有针状节流器式 TH138.8+2 油水分离器 TH137.53+5 有套筒节流器式 TH138.8+3 油雾器 TH137.7 液压传动回路 TH138.8+4 管路及其配件 TH137.8 辅助装置 TH138.9 气压传动装置的应用 TH137.8+1 蓄能器 TH139 其他传动 TH137.8+2 自动卸荷器 电传动入 TM921 。
Ashton TM, Fokas E, Kunz-Schughart LA, Folkes LK, Anbalagan S, Huether M, Kelly CJ, Pirovano G, Buffa FM, Hammond EM, et al. The anti-malarial atovaquone increases radiosensitivity by alleviating tumour hypoxia. Nat Commun. 2016;7:12308. Article CAS PubMed PubMed Central Google Scholar ...
TH138.5 气压元件 TH138.51 气缸和气马达 TH138.52 控制阀 TH138.52+1 压力阀 TH138.52+2 流量阀 TH138.52+3 方向阀 TH138.7 气压传动回路 TH138.8 辅助装置 TH138.8+1 滤清器 TH138.8+2 油水分离器 TH138.8+3 油雾器 TH138.8+4 管路及其配件 TH138.9 气压传动装置的应用 TH139 其他传动 电传动入TM921...
AbcTM / Hero AbdulKareemios / Hero AbeiOS / Hero abhuzz / Hero aborren / Hero aboundlabs / Hero abretagne / Hero acalism / Hero acumenrev / Hero AD-Paladins / Hero adair520 / Hero adamcumiskey / Hero adamnemecek / Hero adamszeptycki / Hero Aditi3 / Hero Adr...
Data were acquired on a BD FACSAriaTM III (BD Biosciences) using FASCDiva Software at the Flow Cytometry Facility of Wuhan University. All analysis was performed using FlowJo software (Tree Star Inc.). The detection was repeated three times. Histological examination. For HE staining, the ...
Venkatesh D, Poen MJ, Bestebroer TM, Scheuer RD, Vuong O, Chkhaidze M, Machablishvili A, Mamuchadze J, Ninua L, Fedorova NB, Halpin RA, Lin X, Ransier A, Stockwell TB, Wentworth DE, Kriti D, Dutta J, van Bakel H, Puranik A, Slomka MJ, Essen S, Brown IH, Fouchier RAM,...
Using artificial neural network methods, Landsat thematic mapper (TM) data and training on limited ground data, the study achieved 80 percent accuracy despite the occurrence of other understorey vegetation. The results prove that remote sensing can successfully map forest undergrowth. This success in ...