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| 1 | Whole-Genome Resequencing of a Worldwide Collection of Rapeseed Accessions Reveals the Genetic Basis of Ecotype Divergence显示文摘Rapeseed (Brassica napus),an important oilseed crop,has adapted to diverse climate zones and latitudes by forming three main ecotype groups,namely winter,semiwinter,and spring types. However,genetic variations underlying the divergence of these ecotypes are largely unknown. Here,we report the global pattern of genetic polymorphisms in rapeseed determined by resequencing a worldwide collection of 991 germplasm accessions.A total of 5.56 and 5.53 million singlenucleotide polymorphisms (SNPs)as Well as 1.86 and 1.92 million InDels were identified by mapping reads to the reference genomes of 'Darmor-bzh'and 'Tapidor,'respectively.We generated a map of allelic drift paths that shows splits and mixtures of the main populations,and revealed an asymmetric evolution of the two subgenomes of B.napus by calculating the genetic diversity and linkage disequilibrium parameters.Selective-sweep analysis revealed genetic changes in genes orthologous to those regulating various aspects of plant development and response to stresses.A genome-wide association study identified SNPs in the promoter regions of FLOWERING LOCUS T and FLOWERING LOCUS C orthologs that corresponded to the different rapeseed ecotype groups. Our study provides important insights into the genomic footprints of rapeseed evolution and flowering-time divergence among three ecotype groups,and will facilitate screening of molecular markers for accelerating rapeseed breeding. | Dezhi Wu Zhe Liang Tao Yan Ying Xu Lijie Xuan Juan Tang Gang Zhou Ulrike Lohwasser Shuijin Hua Haoyi Wang Xiaoyang Chen Qian Wang Le Zhu Antony Maodzeka Nazim Hussain Zhilan Li Xuming Li Imran Haider Shamsi Ghulam Jilani Linde Wu Hongkun Zheng Guoping Zhang Boulos Chalhoub Lisha Shen Hao Yu Lixi Jiang | 2019 | Molecular Plant2019，12，1： | 10 |
| 2 | Artificial neural networks enabled by nanophotonics显示文摘The growing demands of brain science and artificial intelligence create an urgent need for the development of artificial neural networks(ANNs)that can mimic the structural,functional and biological features of human neural networks.Nanophotonics,which is the study of the behaviour of light and the light–matter interaction at the nanometre scale,has unveiled new phenomena and led to new applications beyond the diffraction limit of light.These emerging nanophotonic devices have enabled scientists to develop paradigm shifts of research into ANNs.In the present review,we summarise the recent progress in nanophotonics for emulating the structural,functional and biological features of ANNs,directly or indirectly. | Qiming Zhang Haoyi Yu Martina Barbiero Baokai Wang Min Gu | 2019 | Light(Science & Applications)2019，8，1： | 7 |
| 3 | Glucocorticoid receptor modulates myeloid-derived suppressor cell function via mitochondrial metabolism in immune thrombocytopenia显示文摘Myeloid-derived suppressor cells(MDSCs)are a heterogeneous population of immature cells and natural inhibitors of adaptive immunity.Intracellular metabolic changes in MDSCs exert a direct immunological influence on their suppressive activity.Our previous study demonstrated that high-dose dexamethasone(HD-DXM)corrected the functional impairment of MDSCs in immune thrombocytopenia(ITP);however,the MDSC population was not restored in nonresponders,and the mechanism remained unclear.In this study,altered mitochondrial physiology and reduced mitochondrial gene transcription were detected in MDSCs from HD-DXM nonresponders,accompanied by decreased levels of carnitine palmitoyltransferase-1(CPT-1),a rate-limiting enzyme in fatty acid oxidation(FAO).Blockade of FAO with a CPT-1 inhibitor abolished the immunosuppressive function of MDSCs in HD-DXM responders.We also report that MDSCs from ITP patients had lower expression of the glucocorticoid receptor(GR),which can translocate into mitochondria to regulate the transcription of mitochondrial DNA(mtDNA)as well as the level of oxidative phosphorylation.It was confirmed that the expression of CPT-1 and mtDNA-encoded genes was downregulated in GR-siRNA-treated murine MDSCs.Finally,by establishing murine models of active and passive ITP via adoptive transfer of DXM-modulated MDSCs,we confirmed that GR-silenced MDSCs failed to alleviate thrombocytopenia in mice with ITP.In conclusion,our study indicated that impaired aerobic metabolism in MDSCs participates in the pathogenesis of glucocorticoid resistance in ITP and that intact control of MDSC metabolism by GR contributes to the homeostatic regulation of immunosuppressive cell function. | Yu Hou Jie Xie Shuwen Wang Daqi Li Lingjun Wang Haoyi Wang Xiaofei Ni Shaoqiu Leng Guosheng Li Ming Hou Jun Peng | 2022 | Cellular & Molecular Immunology2022，19，7： | 4 |
| 4 | Insight to defects regulation on sugarcane waste-derived hard carbon anode for sodium-ion batteries显示文摘A great deal of attention has been paid on developing plant-derived hard carbon(HC)materials as anodes for sodium-ion batteries(SIBs).So far,the regulation of HC has been handicapped by the well-known ambiguity of Na^(+)storage mechanism,which fails to differentiate the Na^(+)adsorption and Na^(+)insertion,and their relationship with the size of d-interlayer spacing and structural porosity.Herein,bagassederived HC materials have been synthesized through a combination of pyrolysis treatment and microwave activation.The combined protocol has enabled to synergistically control the d-interlayer spacing and porosity.Specifically,the microwave activation has created slit pores into HC and these pores allow for an enhanced Na^(+)adsorption with an increased sloping capacity,establishing a strong correlation between the porosity and sloping capacity.Meanwhile,the pyrolysis treatment promotes the graphitization and it contributes to an intensified Na^(+)insertion with an increased plateau capacity,proving that the plateau capacity is largely contributed by the Na^(+)insertion between interlayers.Therefore,the structural regulation of bagasse-derived HC has provided a proof on positively explaining the Na^(+)storage with HC materials.The structural changes in the pore size distribution,specific surface area,d-interlayer spacing,and the electrochemical properties have been comprehensively characterized,all supporting our understanding of Na^(+)storage mechanism.As a result,the HC sample with an optimized d-interlayer spacing and porosity has delivered an improved reversible capacity of 323.6 m Ah g^(-1) at 50 m A g^(-1).This work provides an understanding of Na^(+)storage mechanism and insights on enhancing the sloping/plateau capacity by rationally regulating the graphitization and porosity of HC materials for advanced SIBs. | Kaihua Yu Xinran Wang Haoyi Yang Ying Bai Chuan Wu | 2021 | Journal of Energy Chemistry2021，30，4： | 3 |
| 5 | Three-Dimensional Direct Laser Writing of PEGda Hydrogel Microstructures with Low Threshold Power using a Green Laser Beam显示文摘Three-dimensional(3D)direct laser writing(DLW)based on two-photon polymerisation(TPP)is an advanced technology for fabricating precise 3D hydrogel micro-and nanostructures for applications in biomedical engineering.Particularly,the use of visible lasers for the 3D DLW of hydrogels is advantageous because it enables high fabrication resolution and promotes wound healing.Polyethylene glycol diacrylate(PEGda)has been widely used in TPP fabrication owing to its high biocompatibility.However,the high laser power required in the 3D DLW of PEGda microstructures using a visible laser in a high-water-content environment limits its applications to only those below the biological laser power safety level.In this study,a formula for a TPP hydrogel based on 2-hydroxy-2-methylpropiophenone(HMPP)and PEGda was developed for the fabrication of 3D DLW microstructures at a low threshold power(0.1 nJ per laser pulse at a writing speed of 10μm·s^(−1))in a high-water-content environment(up to 79%)using a green laser beam(535 nm).This formula enables the fabrication of microstructures with micrometre fabrication resolution and high mechanical strength(megapascal level)and is suitable for the fabrication of waterresponsive,shape-changing microstructures.These results will promote the utilisation of low-power 3D DLW for fabricating hydrogel microstructures using visible lasers in high-water-content environments. | Haoyi Yu Haibo Ding Qiming Zhang Zhongze Gu Min Gu | 2021 | Light(Advanced Manufacturing)2021，2，1： | 3 |
| 6 | Three-dimensional direct laser writing of biomimetic neuron interfaces in the era of artificial intelligence:principles,materials,and applications显示文摘The creation of biomimetic neuron interfaces(BNIs)has become imperative for different research fields from neural science to artificial intelligence.BNIs are two-dimensional or three-dimensional(3D)artificial interfaces mimicking the geometrical and functional characteristics of biological neural networks to rebuild,understand,and improve neuronal functions.The study of BNI holds the key for curing neuron disorder diseases and creating innovative artificial neural networks(ANNs).To achieve these goals,3D direct laser writing(DLW)has proven to be a powerful method for BNI with complex geometries.However,the need for scaled-up,high speed fabrication of BNI demands the integration of DLW techniques with ANNs.ANNs,computing algorithms inspired by biological neurons,have shown their unprecedented ability to improve efficiency in data processing.The integration of ANNs and DLW techniques promises an innovative pathway for efficient fabrication of large-scale BNI and can also inspire the design and optimization of novel BNI for ANNs.This perspective reviews advances in DLW of BNI and discusses the role of ANNs in the design and fabrication of BNI. | Haoyi Yu Qiming Zhang Xi Chen Haitao Luan Min Gu | 2022 | Advanced Photonics2022，4，3： | 2 |
| 7 | Support optimal scheduling with weighted random forest for operation resources显示文摘Operation-related resources are lots of manpower and material with the characteristics of high cost and high income in hospitals,and scheduling optimization is a very important research issue in medical service.In this paper,to cope with the actualities of operation resources scheduling,such as poor planning,lack of standardized scheduling rules,chaotic use of the operating rooms,and many human interference factors,we propose a systematic approach to optimize scheduling problems based on multiple characteristics of operating resources.We frst design a framework that includes the composite dispatching rules(CDR),optimization ideology,and feedback mechanism,in which the CDR integrates fexible operating time,hold-up time of medical facilities,available time of medical staf,and multiple constraints.The optimization ideology is carried out through a learning model based on the weighted random forest(WRF)algorithm.The feedback mechanism enables the approach to realize closed-loop optimizations adaptively.Finally,the superiority of the systematic scheduling approach(SSA)is analyzed through numerical experiments on a simulation platform.Results of the simulation experiments show that the proposed scheduling method can improve performances signifcantly,especially in the waiting time of patients. | Li Li Qingyun Yu Haoyi Shi Yuguang Liu | 2021 | Control Theory and Technology2021，19，4： | 0 |
| 8 | A Simple yet Effective Framework for Active Learning to Rank显示文摘While China has become the largest online market in the world with approximately 1 billion internet users,Baidu runs the world's largest Chinese search engine serving more than hundreds of millions of daily active users and responding to billions of queries per day.To handle the diverse query requests from users at the web-scale,Baidu has made tremendous efforts in understanding users'queries,retrieving relevant content from a pool of trillions of webpages,and ranking the most relevant webpages on the top of the res-ults.Among the components used in Baidu search,learning to rank(LTR)plays a critical role and we need to timely label an extremely large number of queries together with relevant webpages to train and update the online LTR models.To reduce the costs and time con-sumption of query/webpage labelling,we study the problem of active learning to rank(active LTR)that selects unlabeled queries for an-notation and training in this work.Specifically,we first investigate the criterion-Ranking entropy(RE)characterizing the entropy of relevant webpages under a query produced by a sequence of online LTR models updated by different checkpoints,using a query-by-com-mittee(QBC)method.Then,we explore a new criterion namely prediction variances(PV)that measures the variance of prediction res-ults for all relevant webpages under a query.Our empirical studies find that RE may favor low-frequency queries from the pool for la-belling while PV prioritizes high-frequency queries more.Finally,we combine these two complementary criteria as the sample selection strategies for active learning.Extensive experiments with comparisons to baseline algorithms show that the proposed approach could train LTR models to achieve higher discounted cumulative gain(i.e.,the relative improvement DCG4=1.38%)with the same budgeted labellingefforts. | Qingzhong Wang Haifang Li Haoyi Xiong Wen Wang Jiang Bian Yu Lu Shuaiqiang Wang Zhicong Cheng Dejing Dou Dawei Yin | 2024 | Machine Intelligence Research2024，21，1： | 0 |
| 9 | Bi-salt electrolyte for aqueous rechargeable aluminum battery显示文摘The exertion of superior high-energy density based on multivalent ions transfer of rechargeable aluminum batteries is greatly hindered by limited electrochemical stability window of typical water in salt electrolyte(Wi SE). Recently, it is reported that a second salt addition to the Wi SE can offer further suppression of water activities, and achieves a much wider electrochemical window compared with aqueous Wi SE electrolytes. Hence, we demonstrate a class of water in bi-salt electrolyte containing the trifluoromethanesulfonate(OTF), which exhibits an ultra-wide electrochemical window of 4.35 V and a very low overpotential of 14.6 m V. Moreover, the interface chemistry between cathode and electrolyte is also confirmed via kinetic analysis. Surprisingly, we find the electrolyte can effectively suppress Mn dissolution from the cathode, alleviate self-discharge behavior, and ensure a stable electrode–electrolyte interface based on the interface concentrated-confinement effect. Owing to these unique merits of water in bi-salt electrolyte, the AlxMnO_(2)·nH_(2)O material delivers a high capacity of 364 m Ah g;and superb long-term cycling performance > 150 cycles with a capacity decay rate of 0.37% per cycle with coulombic efficiency at ca. 95%. | Yaning Gao Yu Li Haoyi Yang Lumin Zheng Ying Bai Chuan Wu | 2022 | Journal of Energy Chemistry2022，31，4： | 0 |
| 10 | Genomic Perspectives on the Emerging SARS-CoV-2 Omicron Variant显示文摘A new variant of concern for SARS-CoV-2,Omicron(B.1.1.529),was designated by the World Health Organization on November 26,2021.This study analyzed the viral genome sequencing data of 108 samples collected from patients infected with Omicron.First,we found that the enrichment efficiency of viral nucleic acids was reduced due to mutations in the region where the primers anneal to.Second,the Omicron variant possesses an excessive number of mutations compared to other variants circulating at the same time(median:62 vs.45),especially in the Spike gene.Mutations in the Spike gene confer alterations in 32 amino acid residues,more than those observed in other SARS-CoV-2 variants.Moreover,a large number of nonsynonymous mutations occur in the codons for the amino acid residues located on the surface of the Spike protein,which could potentially affect the replication,infectivity,and antigenicity of SARS-CoV-2.Third,there are 53 mutations between the Omicron variant and its closest sequences available in public databases.Many of these mutations were rarely observed in public databases and had a low mutation rate.In addition,the linkage disequilibrium between these mutations was low,with a limited number of mutations concurrently observed in the same genome,suggesting that the Omicron variant would be in a different evolutionary branch from the currently prevalent variants.To improve our ability to detect and track the source of new variants rapidly,it is imperative to further strengthen genomic surveillance and data sharing globally in a timely manner. | Wentai Ma Jing Yang Haoyi Fu Chao Su Caixia Yu Qihui Wang Ana Tereza Ribeiro de Vasconcelos Georgii A.Bazykin Yiming Bao Mingkun Li | 2022 | Genomics, Proteomics & Bioinformatics2022，20，1： | 0 |
| 11 | Surficial modification enabling planar Al growth toward dendrite-free metal anodes for rechargeable aluminum batteries显示文摘Al metal possesses ultrahigh theoretical volumetric capacity of 8,040 m Ah cm^(-3),and gravimetric capacity of 2,980 m Ah g^(-1),and thus is highly attractive for electrochemical energy storage.However,it suffers from several issues,such as the dendrite formation,during Al stripping-deposition cycling,which has been verified to account for the short circuit and limited cyclic performance.Herein,we use a facile and applicable method to in-situ reconstruct the Al anode surface with F-Al-O chemical bonds,which could preferentially induce the planar growth of Al along the interface plane,thus leading to the dendrite-free morphology evolution during the cycling.Benefiting from F-Al-O chemical bonds on the surface of Al anodes,long lifespan of symmetric cells can be realized even under 1 m A cm^(-2)and 1 m Ah cm^(-2).Coupling the F-Al anode with graphite-based cathodes,high-voltage dual-ion Al metal batteries can be achieved with long-term cycle stability up to 1,200 cycles(at 0.5 m A cm^(-2)),surpassing the counterparts using pristine Al metal anode.Furthermore,the effectiveness of this surficial modification strategy is also elucidated with the aid of theoretical calculation.This work provides novel insights on low-cost and facile strategies against the Al dendrite growth in aluminum batteries. | Wenhao Liu Yu Li Bo Long Haoyi Yang Lumin Zheng Ying Bai Feng Wu Chuan Wu | 2024 | Science China Chemistry2024，67，4： | 0 |
| 12 | The prospects for bioprinting tumor models:recent advances in their applications显示文摘Three-dimensional(3D)tumor models prepared from patient-derived cells have been reported to imitate some of the biological development processes of in situ tumors in vitro.These 3D tumor models share several important characteristics with their in vivo tumor counterparts.Accordingly,their applications in tumor modeling,drug screening,and precision-targeted treatment are promising.However,the establishment of tumormodels is subject to several challenges,including advancements in scale size,repeatability,structural precision in time and space,vascularization,and the tumor microenvironment.Recently,bioprinting technologies enabling the editorial arrangement of cells,factors,and materials have improved the simulation of tumormodels in vitro.Among the 3D bioprinted tumor models,the organoidmodel has been widely appreciated for its advantages of maintaining high heterogeneity and capacity for simulating the developmental process of tumor tissues.In this review,we outline approaches and potential prospects for tumor model bioprinting and discuss the existing bioprinting technologies and bioinks in tumor model construction.The multidisciplinary combination of tumor pathology,molecular biology,material science,and additive manufacturing will help overcome the barriers to tumor model construction by allowing consideration of the structural and functional characteristics of in vitro models and promoting the development of heterogeneous tumor precision therapies. | Changru Zhang Xiaoqin Qiu Yu Dai Weiqing Kong Yihao Liu Haoyi Niu Chengwei Wang Xuelian Mi Hui Wang Ya Ren Han Yang Kerong Dai Jinwu Wang | 2023 | Bio-Design and Manufacturing2023，6，6： | 0 |
| 13 | Thermodynamic analysis of liquid phase in situ hydrogenation of glycerol for 1,3-propanediol synthesis显示文摘Based on the combination of the glycerol aqueous-phase reforming(APR)and catalytic hydrogenation of glycerol,a novel reaction system of liquid phase in situ hydrogenation of glycerol for the synthesis of 1,3-propanediol is proposed,in which hydrogen is produced from glycerol aqueous-phase reforming in the same reactor.In this new system,the glycerol is the raw material of the aqueous-phase reforming reaction;the hydrogen generated from the APR of glycerol can be quickly transformed to the in situ hydrogenation of glycerol to produce 1,3-propanediol,which can improve the selectivity of hydrogen for the APR process of glycerol.Moreover,thermodynamic calculation of the coupling processes was carried out,and standard molar enthalpies and equilibrium constants of foregoing reactions were obtained.The above calculation results indicate that the combination process is feasible for 1,3-propanediol synthesis. | Kun OUYANG Yu HUANG Haoyi CHEN Tao LI Fahai CAO Dingye FANG | 2011 | Frontiers of Chemical Science and Engineering2011，5，1： | 0 |
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