| 1 | DeST 3.0:A new-generation building performance simulation platform显示文摘Buildings contribute to almost 30%of total energy consumption worldwide.Developing building energy modeling programs is of great significance for lifecycle building performance assessment and optimization.Advances in novel building technologies,the requirements of high-performance computation,and the demands for multi-objective models have brought new challenges for building energy modeling software and platforms.To meet the increasing simulation demands,DeST 3.0,a new-generation building performance simulation platform,was developed and released.The structure of DeST 3.0 incorporates four simulation engines,including building analysis and simulation(BAS)engine,HVAC system engine,combined plant simulation(CPS)engine,and energy system(ES)engine,connected by air loop and water loop balancing iterations.DeST 3.0 offers numerous new simulation features,such as advanced simulation modules for building envelopes,occupant behavior and energy systems,cross-platform and compatible simulation kernel,FMI/FMU-based co-simulation functionalities,and high-performance parallel simulation architecture.DeST 3.0 has been thoroughly evaluated and validated using code verification,inter-program comparison,and case-study calibration.DeST 3.0 has been applied in various aspects throughout the building lifecycle,supporting building design,operation,retrofit analysis,code appliance,technology adaptability evaluation as well as research and education.The new generation building simulation platform DeST 3.0 provides an efficient tool and comprehensive simulation platform for lifecycle building performance analysis and optimization. | Da Yan Xin Zhou Jingjing An Xuyuan Kang Fan Bu Youming Chen Yiqun Pan Yan Gao Qunli Zhang Hui Zhou Kuining Qiu Jing Liu Yan Liu Honglian Li Lei Zhang Hong Dong Lixin Sun Song Pan Xiang Zhou Zhe Tian Wenjie Zhang Ruhong Wu Hongsan Sun Yu Huang Xiaohong Su Yongwei Zhang Rui Shen Diankun Chen Guangyuan Wei Yixing Chen Jinqing Peng | 2022 | Building Simulation2022，15，11： | 5 |
| 2 | Omicron adopts a different strategy from Delta and other variants to adapt to host显示文摘Dear Editor,With the ongoing of Corona Virus Disease 2019(COVID-19)epidemic,new strains of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)are continuously emerging.After Delta(B.1.617.2)identified in India,Lambda(C.37),Mu(B.1.621),and Omicron(B.1.1.529)were successively found in Peru,Colombia,and Botswana/South Africa,and subsequently defined as variant of interest(VOI)or variant of concern(VOC). | Xiaohong Du Haijun Tang Long Gao Zhao Wu Fang Meng Ruhong Yan Shigang Qiao Jianzhong An Chen Wang F.Xiao-Feng Qin | 2022 | Signal Transduction and Targeted Therapy2022，7，3： | 1 |
| 3 | Evolutionary characteristics of SARS-CoV-2 Omicron subvariants adapted to the host显示文摘Dear Editor,As the COVID-19 epidemic proceeds,new variants of SARS-CoV-2 continue to emerge.^(1)Particularly the B.1.1.529(Omicron)variant emerged and spread globally,surpassing the previously dominant B.1.617.2(Delta)variant.Moreover,the original Omicron variant continued to mutate into numerous Omicron sublineages.Nonetheless,the infectious and immune characteristics of newly-emerged Omicron sublineages that have evolved to adapt to the host remain unclear. | Haijun Tang Yun Shao Yi Huang Shigang Qiao Jianzhong An Ruhong Yan Xin Zhao Fang Meng Xiaohong Du F.Xiao-Feng Qin | 2023 | Signal Transduction and Targeted Therapy2023，8，6： | 0 |
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