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| 1 | Transcriptomic and genetic approaches reveal an essential role of the NAC transcription factor SlNAP1 in the growth and defense response of tomato显示文摘With global climate change,plants are frequently being exposed to various stresses,such as pathogen attack,drought,and extreme temperatures.Transcription factors(TFs)play crucial roles in numerous plant biological processes;however,the functions of many tomato(Solanum lycopersicum L.)TFs that regulate plant responses to multiple stresses are largely unknown.Here,using an RNA-seq approach,we identified SlNAP1,a NAC TF-encoding gene,which was strongly induced by various stresses.By generating SlNAP1 transgenic lines and evaluating their responses to biotic and abiotic stresses in tomato,we found that SlNAP1-overexpressing plants showed significantly enhanced defense against two widespread bacterial diseases,leaf speck disease,caused by Pseudomonas syringae pv.tomato(Pst)DC3000,and root-borne bacterial wilt disease,caused by Ralstonia solanacearum.In addition,SlNAP1 overexpression dramatically improved drought tolerance in tomato.Although the SlNAP1-overexpressing plants were shorter than the wild-type plants during the early vegetative stage,eventually,their fruit yield increased by 10.7%.Analysis of different hormone contents revealed a reduced level of physiologically active gibberellins(GAs)and an increased level of salicylic acid(SA)and abscisic acid(ABA)in the SlNAP1-overexpressing plants.Moreover,EMSAs and ChIP-qPCR assays showed that SlNAP1 directly activated the transcription of multiple genes involved in GA deactivation and both SA and ABA biosynthesis.Our findings reveal that SlNAP1 is a positive regulator of the tomato defense response against multiple stresses and thus may be a potential breeding target for improving crop yield and stress resistance. | Jiao Wang Chenfei Zheng Xiangqi Shao Zhangjian Hu Jianxin Li Ping Wang Anran Wang Jingquan Yu Kai Shi | 2020 | Horticulture Research2020，7，1： | 9 |
| 2 | Aromatization over nanosized Ga-containing ZSM-5 zeolites prepared by different methods:Effect of acidity of active Ga species on the catalytic performance显示文摘Nanosized Ga-containing ZSM-5 zeolites were prepared via isomorphous substitution and impregnation followed by characterized using various techniques. The catalytic performance of the zeolites for the aromatization of 1-hexene was investigated. The results indicate that isomorphous substitution promotes the incorporation of Ga heteroatoms into the framework along with the formation of extra-framework GaO^+species([GaO^+]a) that have stronger interactions with the negative potential of the framework. In addition, based on the Py-IR results and catalytic performance, the [GaO^+]aspecies with stronger Lewis acid sites produced a better synergism with moderate Br?nsted acid sites and thus improved the selectivity to aromatic compounds. However, the impregnation results in the formation of Ga_2O_3 phase and small amounts of GaO^+species that are mainly located on the external surface([GaO^+]~b), which contribute to weaker Lewis acid sites due to weaker interactions with the zeolite framework. During 1-hexene aromatization, the nanosized Ga isomorphously substituted ZSM-5 zeolite samples(Gax-NZ5) exhibited better catalytic performance compared to the impregnated samples, and the highest aromatic yield(i.e.,65.4 wt%) was achieved over the Ga4.2-NZ5 sample, which contained with the highest Ga content. | Yujun Fang Xiaofang Su Xuefeng Bai Wei Wu Gaoliang Wang Linfei Xiao Anran Yu | 2017 | Journal of Energy Chemistry2017，26，4： | 8 |
| 3 | Quorum sensing systems regulate heterotrophic nitrification-aerobic denitrification by changing the activity of nitrogen-cycling enzymes显示文摘Heterotrophic nitrification-aerobic denitrification(HNAD)is essential in diverse nitrogen-transforming processes.How HNAD is modulated by quorum sensing(QS)systems is still ambiguous.The QS system in Pseudomonas aeruginosa manipulates colony behavior.Here,we described the influence of the Pseudomonas quinolone signal(PQS)and N-acyl-L-homoserine lactone(AHL)on HNAD.The HNAD of P.aeruginosa was inhibited by the oversecretion of PQS.AHL-or PQS-deficient P.aeruginosa mutants had a higher ability for nitrogen removal.QS inhibited heterotrophic nitrification mainly via controlling the activity of nitrite oxidoreductase(NXR)and the depressed aerobic denitrification by regulating the catalytic abilities of nitric oxide reductase(NOR),nitrite reductase(NIR),and nitrate reductase(NAR).The addition of citrate as the sole carbon source increased the nitrogen removal efficiency compared with other carbon sources.Nitrite,as the sole nitrogen source,could be used entirely with only the moderate concentration of PQS contained.AHL and PQS controlled both nitrification and denitrification,suggesting that QS plays an important role in nitrogen cycle under aerobic conditions. | Ziqian Zhu Yang Yang Anran Fang Yu Lou Guojun Xie Nanqi Ren Defeng Xing | 2020 | Environmental Science and Ecotechnology2020，，2： | 2 |
| 4 | Highly efficient flexible perovskite solar cells with vacuum-assisted low-temperature annealed SnO2 electron transport layer显示文摘The demand for lightweight, flexible, and high-performance portable power sources urgently requires high-efficiency and stable flexible solar cells. In the case of perovskite solar cells(PSCs), most of the common electron transport layer(ETL) needs to be annealed for improving the optoelectronic properties,while conventional flexible substrates could barely stand the high temperature. Herein, a vacuumassisted annealing SnO_(2) ETL at low temperature(100℃) is utilized in flexible PSCs and achieved high efficiency of 20.14%. Meanwhile, the open-circuit voltage(V_(oc)) increases from 1.07 V to 1.14 V. The flexible PSCs also show robust bending stability with 86.8% of the initial efficiency is retained after 1000 bending cycles at a bending radius of 5 mm. X-ray photoelectron spectroscopy(XPS), atomic force microscopy(AFM), and contact angle measurements show that the density of oxygen vacancies, the surface roughness of the SnO_(2) layer, and film hydrophobicity are significantly increased, respectively. These improvements could be due to the oxygen-deficient environment in a vacuum chamber, and the rapid evaporation of solvents. The proposed vacuum-assisted low-temperature annealing method not only improves the efficiency of flexible PSCs but is also compatible and promising in the large-scale commercialization of flexible PSCs. | Xiaoguo Li Zejiao Shi Fatemeh Behrouznejad Mohammad Hatamvand Xin Zhang Yaxin Wang Fengcai Liu Haoliang Wang Kai Liu Hongliang Dong Farhan Mudasar Jiao Wang Anran Yu Yiqiang Zhan | 2022 | Journal of Energy Chemistry2022，31，4： | 1 |
| 5 | Data-driven design of high-performance MASnxPb1-xI3 perovskite materials by machine learning and experimental realization显示文摘The photovoltaic performance of perovskite solar cell is determined by multiple interrelated factors,such as perovskite compositions,electronic properties of each transport layer and fabrication parameters,which makes it rather challenging for optimization of device performances and discovery of underlying mechanisms.Here,we propose and realize a novel machine learning approach based on forward-reverse framework to establish the relationship between key parameters and photovoltaic performance in high-profile MASnxPb1-xI3 perovskite materials.The proposed method establishes the asymmetrically bowing relationship between band gap and Sn composition,which is precisely verified by our experiments.Based on the analysis of structural evolution and SHAP library,the rapid-change region and low-bandgap plateau region for small and large Sn composition are explained,respectively.By establishing the models for photovoltaic parameters of working photovoltaic devices,the deviation of short-circuit current and open-circuit voltage with band gap in defective-zone and low-bandgap-plateau regions from Shockley-Queisser theory is captured by our models,and the former is due to the deep-level traps formed by crystallographic distortion and the latter is due to the enhanced susceptibility by increased Sn4+content.The more difficulty for hole extraction than electron is also concluded in the models and the prediction curve of power conversion efficiency is in a good agreement with Shockley-Queisser limit.With the help of search and optimization algorithms,an optimized Sn:Pb composition ratio near 0.6 is finally obtained for high-performance perovskite solar cells,then verified by our experiments.Our constructive method could also be applicable to other material optimization and efficient device development. | XIA CAI FENGCAI LIU ANRAN YU JIAJUN QIN MOHAMMAD HATAMVAND IRFAN AHMED JIAYAN LUO YIMING ZHANG HAO ZHANG YIQIANG ZHAN | 2022 | Light(Science & Applications)2022，11，9： | 1 |
| 6 | Stabilizing α-phase FAPbI3 solar cells显示文摘Organic–inorganic hybrid perovskite solar cells(PSCs)have been recognized as a promising and cost-effective photovoltaic technology with the power conversion efficiency(PCE) exceeding 25%[1–3]. The high efficiency is attributed to the exceptional optoelectronic properties, such as high absorption coefficient, long carrier diffusion length, low non-radiative recombination rate, and so on[4–7]. | Yaxin Wang Xin Zhang Zejiao Shi Lixiu Zhang Anran Yu Yiqiang Zhan Liming Ding | 2022 | Journal of Semiconductors2022，43，4： | 0 |
| 7 | Detector-grade perovskite single-crystal wafers via stress-free gel-confined solution growth targeting high-resolution ionizing radiation显示文摘Solution-processed organic‒inorganic halide perovskite(OIHP)single crystals(SCs)have demonstrated great potential in ionizing radiation detection due to their outstanding charge transport properties and low-cost preparation.However,the energy resolution(ER)and stability of OIHP detectors still lag far behind those of melt-grown inorganic perovskite and commercial CdZnTe counterparts due to the absence of detector-grade high-quality OIHP SCs.Here,we reveal that the crystallinity and uniformity of OIHP SCs are drastically improved by relieving interfacial stress with a facial gel-confined solution growth strategy,thus enabling the direct preparation of large-area detector-grade SC wafers up to 4 cm with drastically suppressed electronic and ionic defects.The resultant radiation detectors show both a small dark current below 1 nA and excellent baseline stability of 4.0×10^(-8) nA cm^(-1) s^(-1) V^(-1),which are rarely realized in OIHP detectors.Consequently,a record high ER of 4.9% at 59.5 keV is achieved under a standard 241Am gamma-ray source with an ultralow operating bias of 5 V,representing the best gamma-ray spectroscopy performance among all solution-processed semiconductor radiation detectors ever reported. | Yilong Song Lixiang Wang Yongqiang Shi Weihui Bi Jianwu Chen Mingwei Hao Anran Wang Xueying Yang Yuan Sun Fan Yu Liansheng Li Yanjun Fang Deren Yang Qingfeng Dong | 2023 | Light(Science & Applications)2023，12，5： | 0 |
| 8 | Structural plasticity-based hydrogel optical Willshaw model for one-shot on-the-fly edge learning显示文摘Autonomous one-shot on-the-fly learning copes with the high privacy,small dataset,and in-stream data at the edge.Implementing such learning on digital hardware suffers from the well-known von-Neumann and scaling bottlenecks.The optical neural networks featuring large parallelism,low latency,and high efficiency offer a promising solution.However,ex-situ training of conventional optical networks,where optical path configuration and deep learning model optimization are separated,incurs hardware,energy and time overheads,and defeats the advantages in edge learning.Here,we introduced a bio-inspired material-algorithm co-design to construct a hydrogel-based optical Willshaw model(HOWM),manifesting Hebbian-rule-based structural plasticity for simultaneous optical path configuration and deep learning model optimization thanks to the underlying opto-chemical reactions.We first employed the HOWM as an all optical in-sensor AI processor for one-shot pattern classification,association and denoising.We then leveraged HOWM to function as a ternary content addressable memory(TCAM)of an optical memory augmented neural network(MANN)for one-shot learning the Omniglot dataset.The HOWM empowered one-shot on-the-fly edge learning leads to 1000boost of energy efficiency and 10boost of speed,which paves the way for the next-generation autonomous,efficient,and affordable smart edge systems. | Dingchen Wang Dingyao Liu Yinan Lin Anran Yuan Woyu Zhang Yaping Zhao Shaocong Wang Xi Chen Hegan Chen Yi Zhang Yang Jiang Shuhui Shi Kam Chi Loong Jia Chen Songrui Wei Qing Wang Hongyu Yu Renjing Xu Dashan Shang Han Zhang Shiming Zhang Zhongrui Wang | 2023 | InfoMat2023，5，4： | 0 |
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