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| 1 | WheatOmics:A platform combining multiple omics data to accelerate functional genomics studies in wheat显示文摘Dear Editor,Mold-breaking progress in whole-genome sequencing and rapid accumulation of multi-omics data have revolutionized the research strategies of functional genomics in wheat(Wang et al.,2018).However,how to access these vast multi-omics data and to extract key information on genes of in-terest,is still challenging for most wet-lab or field wheat re-searchers who have little bioinformatic experiences and cannot access the expensive computational resources.Here,we pre-sent WheatOmics(http://gffzz513af15b15bc4712hn06o9w0k599069vw.ffgz.tsg.suse.edu.cn/,previously designated as Triticeae Multi-omics Center,http://gffzz601e21d286504235hn06o9w0k599069vw.ffgz.tsg.suse.edu.cn/),a free,web-accessible,and user-friendly platform.WheatOmics not only empowers the effective access to the visualized multi-omics data of user-interested genes but also offers several distinctive and practical toolkits that can ease almost every aspect of wheat functional genomics studies(Figure 1A). | Shengwei Ma Meng Wang Jianhui Wu Weilong Guo Yongming Chen Guangwei Li Yanpeng Wang Weiming Shi Guangmin Xia Daolin FU Zhensheng Kang Fei Ni | 2021 | Molecular Plant2021，14，12： | 9 |
| 2 | Modes of genetic adaptations underlying functional innovations in the rumen显示文摘The rumen is the hallmark organ of ruminants and hosts a diverse ecosystem of microorganisms that facilitates efficient digestion of plant fibers.We analyzed 897 transcriptomes from three Cetartiodactyla lineages:ruminants,camels and cetaceans,as well as data from ruminant comparative genomics and functional assays to explore the genetic basis of rumen functional innovations.We identified genes with relatively high expression in the rumen,of which many appeared to be recruited from other tissues.These genes show functional enrichment in ketone body metabolism,regulation of microbial community,and epithelium absorption,which are the most prominent biological processes involved in rumen innovations.Several modes of genetic change underlying rumen functional innovations were uncovered,including coding mutations,genes newly evolved,and changes of regulatory elements.We validated that the key ketogenesis rate-limiting gene(HMGCS2)with five ruminant-specific mutations was under positive selection and exhibits higher synthesis activity than those of other mammals.Two newly evolved genes(LYZ1 and DEFB1)are resistant to Gram-positive bacteria and thereby may regulate microbial community equilibrium.Furthermore,we confirmed that the changes of regulatory elements accounted for the majority of rumen gene recruitment.These results greatly improve our understanding of rumen evolution and organ evo-devo in general. | Xiangyu Pan Yudong Cai Zongjun Li Xianqing Chen Rasmus Heller Nini Wang Yu Wang Chen Zhao Yong Wang Han Xu Songhai Li Ming Li Cunyuan Li Shengwei Hu Hui Li Kun Wang Lei Chen Bin Wei Zhuqing Zheng Weiwei Fu Yue Yang Tingting Zhang Zhuoting Hou Yueyang Yan Xiaoyang Lv Wei Sun Xinyu Li Shisheng Huang Lixiang Liu Shengyong Mao Wenqing Liu Jinlian Hua Zhipeng Li Guojie Zhang Yulin Chen Xihong Wang Qiang Qiu Brian PDalrymple Wen Wang Yu Jiang | 2021 | Science China(Life Sciences)2021，64，1： | 3 |
| 3 | Online Optimization in Power Systems With High Penetration of Renewable Generation:Advances and Prospects显示文摘Traditionally,offline optimization of power systems is acceptable due to the largely predictable loads and reliable generation.The increasing penetration of fluctuating renewable generation and internet-of-things devices allowing for fine-grained controllability of loads have led to the diminishing applicability of offline optimization in the power systems domain,and have redirected attention to online optimization methods.However,online optimization is a broad topic that can be applied in and motivated by different settings,operated on different time scales,and built on different theoretical foundations.This paper reviews the various types of online optimization techniques used in the power systems domain and aims to make clear the distinction between the most common techniques used.In particular,we introduce and compare four distinct techniques used covering the breadth of online optimization techniques used in the power systems domain,i.e.,optimization-guided dynamic control,feedback optimization for single-period problems,Lyapunov-based optimization,and online convex optimization techniques for multi-period problems.Lastly,we recommend some potential future directions for online optimization in the power systems domain. | Zhaojian Wang Wei Wei John Zhen Fu Pang Feng Liu Bo Yang Xinping Guan Shengwei Mei | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，4： | 2 |
| 4 | Loss of flow accident and its mitigation measuresof nuclear systems with SCWR-M显示文摘 | XU Zhihong HOU Dong FU Shengwei | 2011 | Annals ofNuclear Energy2011，38，12： | 1 |
| 5 | AHU sensor fault diagnosis using principal component analysis method显示文摘 | Shengwei Wang Fu Xiao | 2003 | Energy & Buildings2003，，2： | 1 |
| 6 | Peak load shifting control using different cold thermal energy storage facilities in commercial buildings: a review 显示文摘 | Sun Yong iun Wang Shengwei Xiao Fu | 2013 | Energy Conversion and Management2013，71，： | 1 |
| 7 | AHU sensor fault diagnosis using principal component analysis method显示文摘 | Shengwei Wang Fu Xiao | 2004 | Energy and Buildings2004，36，2： | 1 |
| 8 | A system-level fault detection and diagnosis strategy for HVAC systems involving sensor faults显示文摘 | WANG Shengwei ZHOU Qiang FU Xiao | 2010 | Energy and Buildings2010，，42： | 1 |
| 9 | Active pipe-embedded structures in buildings for utilizing low-grade energy sources: A review显示文摘 | Xinhua Xu Shengwei Wang Jinbo Wang Fu Xiao | 2010 | Energy & Buildings2010，，10： | 1 |
| 10 | A statistical fault detection and diagnosis method for centrifugal chillers based on exponentially-weighted moving average control charts and support vector regression显示文摘 | Yang Zhao Shengwei Wang Fu Xiao | 2013 | Applied Thermal Engineering2013，51，： | 1 |
| 11 | Active Pipe-embedded Structures in Buildings for Utilizing Low-Grade Energy Sources:A Review显示文摘 | Xu Xinhua Wang Shengwei Wang Jinbo Xiao Fu | | 0，，10： | 1 |
| 12 | Evolutionary engineering of yeast for closed-circulating ethanol fermentation in PDMS membrane bioreactor显示文摘 | Wenwu Ding Zeyi Xiao Xiaoyu Tang Kewang Deng Shengwei Fu Yandong Jiang Lin Yuan | 2011 | Biochemical Engineering Journal2011，，： | 1 |
| 13 | AHU sensor fault diagnosis using principal component analysis method显示文摘 | Wang Shengwei Xiao Fu | 2004 | Energy and Buildings2004，36，2： | 1 |
| 14 | Detection and diagnosis of AHU sensor faults using principal component analysis method显示文摘 | Wang Shengwei Xiao Fu | 2004 | Energy Conversion and Management2004，45，： | 1 |
| 15 | Pattern recognition- based chillers fault detection method using support vector data description显示文摘 | Zhao Yang Wang Shengwei Xiao Fu | 2013 | Applied Energy2013，112，： | 1 |
| 16 | Pattern recognition- based chillers fault detection method using support vector data description(SVDD)显示文摘 | Zhao Yang Wang Shengwei Xiao Fu | 2013 | Applied Energy2013，112，1： | 1 |
| 17 | In situ performance comparison and evaluation of three chiller sequencing control strategies in a super high-rise building显示文摘 | Yongjun Sun Shengwei Wang Fu Xiao | 2013 | Energy and Buildings2013，61，： | 1 |
| 18 | AHU Sensor Fault Diagnosis using Principal Component Analysis Method显示文摘 | Wang Shengwei Xiao Fu | 2004 | Energy and Buildings2004，36，2： | 1 |
| 19 | Commissioning of AHU Sensors Using Principal Component Analysis Method显示文摘 | Xiao Fu Wang Shengwei | 2003 | Bui-lding Services Engineering Research and Technology2003，24，3： | 1 |
| 20 | AHU sensor fault diagnosis using principal component analysis method 显示文摘 | WANG Shengwei FU Xiao | 2004 | Energy and Buildings2004，36，2： | 1 |
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