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19篇 您的检索式:作者名="Lin Yonghuang"
    题名 作者 年代 出处 被引量
1Novel high-precision grey forecasting model显示文摘 LEE PINCHAN 2007Automation in Construction2007,16,:1
2Novel higla-precision grey forecasting model显示文摘LIN Yonghuang LEE Pinchan 2007Automation in Construction2007,16,6:1
3Modification of the fishswarm algorithm with particle optimization formulationand communication behavior显示文摘TSAI H LIN Yonghuang 2011Applied Soft Compu-ting2011,11,8:1
4Practical expert diagnosis model based on the grey relational analysis technique 显示文摘LIN Yonghuang LEE Pinchan CHANG Tapeng 2009Expert Systems with Applications2009,36,2:1
5Adaptive and high-precision grey forecasting model显示文摘Lin Yonghuang Li Pinchan Chang Tapeng 2009Expert Systems with Applications2009,36,6:1
6Multi attribute group decision making model under the condition of un- certain information 显示文摘Lin Yonghuang Lee P Chang T 2008Automation in Construction2008,17,6:1
7Dynamic multi at tribute decision making model with grey number evalua- tions显示文摘Lin Yonghuang Lee P C Ting H I 2008Expert Systems with Applications2008,35,:1
8Novel high-precision grey fore-casting model显示文摘Lin Yonghuang Lee Pinchan 2007Automation in Construction2007,16,6:1
9An assessment of optimal mixture for concrete made with recycled concrete aggregates显示文摘Lin Yonghuang Tyan Yawyuan Chang Tapeng 2004Cement and Concrete Research2004,34,8:1
10Adaptive and high-precison grey forecasting model显示文摘Lin Yonghuang Lee Pinchan Chang Tapeng 2009Expert Systems with Applications2009,,36:1
11Adaptive and high-precision grey forecasting model显示文摘Lin Yonghuang Lee PC Chang Tapeng 2009Expert Systems with Applications2009,36,6:1
12Multi-attribute group decision making model under the condition ofuncertain information 显示文摘Lin Yonghuang Lee P C Chang Tapeng 2008AutomationinConstruction2008,17,1:1
13AnAssessment of Optimal Mixture for Concrete Made with RecycledConcrete Aggregates显示文摘Lin Yonghuang Tyan Yawyauan Chang Tapeng 0,,08:1
14Dynamic multi-attribute decision making model with grey number evaluations显示文摘Yonghuang Lin Pinchan Lee 2008Expert Systems with Applications2008,35,4:1
15Adaptive and high-precision grey forecasting model显示文摘LIN Yonghuang LEE Pinchan CHANG Tapeng 2009Expert Sys- tems with Applications2009,36,6:1
16Practical expert diagnosis model based on the grey relational analysis technique显示文摘Lin Yonghuang Lee P C Chang T P 2009Expert Systems with Applications2009,36,2:1
17An integrated quantitative risk anslysis method for major construction accidents using fuzzy concepts and influence diagram 显示文摘Lin Yonghuang Lin C C Tyan Y Y 2011Journal of Marine Science and Technology2011,19,4:1
18N6-methyladenosine facilitates mitochondrial fusion of colorectal cancer cells via induction of GSH synthesis and stabilization of OPA1 mRNA显示文摘Mitochondria undergo fission and fusion that are critical for cell survival and cancer development,while the regulatory factors for mitochondrial dynamics remain elusive.Herein we found that RNA m^(6)A accelerated mitochondria fusion of colorectal cancer(CRC)cells.Metabolomics analysis and function studies indicated that m^(6)A triggered the generation of glutathione(GSH)via the upregulation of RRM2B-a p53-inducible ribonucleotide reductase subunit with anti-reactive oxygen species potential.This in turn resulted in the mitochondria fusion of CRC cells.Mechanistically,m^(6)A methylation of A1240 at 3'UTR of RRM2B increased its mRNA stability via binding with IGF2BP2.Similarly,m^(6)A methylation of A2212 at the coding sequence(CDS)of OPA1-an essential GTPase protein for mitochondrial inner membrane fusion-also increased mRNA stability and triggered mitochondria fusion.Targeting m^(6)A through the methyltransferase inhibitor STM2457 or the dm^(6)ACRISPR system significantly suppressed mitochondria fusion.In vivo and clinical data confirmed the positive roles of the m^(6)A/mitochondrial dynamics in tumor growth and CRC progression.Collectively,m^(6)A promoted mitochondria fusion via induction of GSH synthesis and OPA1 expression,which facilitated cancer cell growth and CRC development.Jiawang Zhou Haisheng Zhang Ke Zhong Lijun Tao Yu Lin Guoyou Xie Yonghuang Tan You Wu Yunqing Lu Zhuojia Chen Jiexin Li Xin Deng Qin Peng Zigang Li Hongsheng Wang 2024National Science Review2024,11,3:0
19Commercially Viable Hybrid Li-Ion/Metal Batteries with High Energy Density Realized by Symbiotic Anode and Prelithiated Cathode显示文摘The energy density of commercial lithium(Li)ion batteries with graphite anode is reaching the limit.It is believed that directly utilizing Li metal as anode without a host could enhance the battery’s energy density to the maximum extent.However,the poor reversibility and infinite volume change of Li metal hinder the realistic implementation of Li metal in battery community.Herein,a commercially viable hybrid Li-ion/metal battery is realized by a coordinated strategy of symbiotic anode and prelithiated cathode.To be specific,a scalable template-removal method is developed to fabricate the porous graphite layer(PGL),which acts as a symbiotic host for Li ion intercalation and subsequent Li metal deposition due to the enhanced lithiophilicity and sufficient ion-conducting pathways.A continuous dissolution-deintercalation mechanism during delithiation process further ensures the elimination of dead Li.As a result,when the excess plating Li reaches 30%,the PGL could deliver an ultrahigh average Coulombic efficiency of 99.5% for 180 cycles with a capacity of 2.48 m Ah cm^(-2) in traditional carbonate electrolyte.Meanwhile,an air-stable recrystallized lithium oxalate with high specific capacity(514.3 m Ah g^(-1))and moderate operating potential(4.7-5.0 V)is introduced as a sacrificial cathode to compensate the initial loss and provide Li source for subsequent cycles.Based on the prelithiated cathode and initial Li-free symbiotic anode,under a practical-level3 m Ah capacity,the assembled hybrid Li-ion/metal full cell with a P/N ratio(capacity ratio of Li Ni_(0.8)Co_(0.1)Mn_(0.1)O_(2) to graphite)of 1.3exhibits significantly improved capacity retention after 300 cycles,indicating its great potential for high-energy-density Li batteries.Kui Lin Xiaofu Xu Xianying Qin Ming Liu Liang Zhao Zijin Yang Qi Liu Yonghuang Ye Guohua Chen Feiyu Kang Baohua Li 2022Nano-Micro Letters2022,14,9:0
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