|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A Model Output Machine Learning Method for Grid Temperature Forecasts in the Beijing Area显示文摘In this paper, the model output machine learning (MOML) method is proposed for simulating weather consultation, which can improve the forecast results of numerical weather prediction (NWP). During weather consultation, the forecasters obtain the final results by combining the observations with the NWP results and giving opinions based on their experience. It is obvious that using a suitable post-processing algorithm for simulating weather consultation is an interesting and important topic. MOML is a post-processing method based on machine learning, which matches NWP forecasts against observations through a regression function. By adopting different feature engineering of datasets and training periods, the observational and model data can be processed into the corresponding training set and test set. The MOML regression function uses an existing machine learning algorithm with the processed dataset to revise the output of NWP models combined with the observations, so as to improve the results of weather forecasts. To test the new approach for grid temperature forecasts, the 2-m surface air temperature in the Beijing area from the ECMWF model is used. MOML with different feature engineering is compared against the ECMWF model and modified model output statistics (MOS) method. MOML shows a better numerical performance than the ECMWF model and MOS, especially for winter. The results of MOML with a linear algorithm, running training period, and dataset using spatial interpolation ideas, are better than others when the forecast time is within a few days. The results of MOML with the Random Forest algorithm, year-round training period, and dataset containing surrounding gridpoint information, are better when the forecast time is longer. | Haochen LI Chen YU Jiangjiang XIA Yingchun WANG Jiang ZHU Pingwen ZHANG | 2019 | Advances in Atmospheric Sciences2019，36，10： | 9 |
| 2 | Machine Learning−based Weather Support for the 2022 Winter Olympics显示文摘1.A key support for the 2022 Winter Olympics The XXIV Olympic Winter Games are scheduled to take place from 4 to 22 February 2022,followed by the Paralympic Games from 4 to 13 March,in Beijing and towns in the neighboring Hebei Province,China.Weather plays an extremely important role in the outcome of the games(Chen et al.,2018).It can not only cause a difference between a medal or not,but affect the safety of athletes.Success of the Winter Olympics will greatly depend on weather conditions at the outdoor competition venues,dealing with many weather elements including the snow surface temperature,apparent temperature,gust wind speed,snow,visibility,etc.To ensure that the scheduled games go smoothly,it is imperative to have hourly or even every 10-minutely forecasts as well as updated weather-related risk assessments at the venues for the next 240 hours.So far,the Beijing/Hebei Meteorological Observatory has already started intelligent weather forecasting at 3-km resolution based on the results of numerical weather prediction(NWP)models.However,these experiments have suggested that the current forecasting techniques are incapable of capturing the complex mountain weather variations around some venues.The forecasting capability of NWP is constrained partly by limited knowledge of the local weather mechanisms. | Jiangjiang XIA Haochen LI Yanyan KANG Chen YU Lei JI Lve WU Xiao LOU Guangxiang ZHU Zaiwen Wang Zhongwei YAN Lizhi WANG Jiang ZHU Pingwen ZHANG Min CHEN Yingxin ZHANG Lihao GAO Jiarui HAN | 2020 | Advances in Atmospheric Sciences2020，37，9： | 6 |
| 3 | Mode transition induced by back-breakdown of the gliding arc and its influence factors显示文摘Gliding arc is a mostly used non-equilibrium plasma generation method whose characteristic is affected by the backbreakdown phenomenon.Mode transition induced by back-breakdown of the gliding arc is studied in this work and effects of gas flow rate,applied voltage,electrode parameters on mode transition were studied.Experimental results show that there are two typical modes during the development of the gliding arc.Mode A comprises periodicitical development of the arc from the minimum gap breakdown to the longest extinguishment,while the arc in mode B continues to produce a back-breakdown at the ends of the electrodes.As the flow rate descends,the gliding arc gradually changes from mode A to B.It is the decrease of the arc velocity caused by lower flow rate leads to the occurrence of back-breakdown,which generates mode B.Smaller electrode opening angle,shorter length and wider minimum gap reduce the gliding speed,so that arc is more likely to enter mode B.As the applied voltage is increased,enhancing of the electric field strength on the breakdown path of the back-breakdown and thickening of the arc's diameter allow the gliding arc to enter mode B at a higher arc speed. | Ruobing Zhang Haochen Huang Tianshu Yang | 2020 | High Voltage2020，5，3： | 3 |
| 4 | A 10×10 deep ultraviolet light-emitting micro-LED array显示文摘In this work,we design and fabricate a deep ultraviolet(DUV)light-emitting array consisting of 10×10 micro-LEDs(μ-LEDs)with each device having 20μm in diameter.Strikingly,the array demonstrates a significant enhancement of total light output power by nearly 52%at the injection current of 100 mA,in comparison to a conventional large LED chip whose emitting area is the same as the array.A much higher(~22%)peak external quantum efficiency,as well as a smaller efficiency droop forμ-LED array,was also achieved.The numerical calculation reveals that the performance boost can be attributed to the higher light extraction efficiency at the edge of eachμ-LED.Additionally,the far-field pattern measurement shows that theμ-LED array possesses a better forward directionality of emission.These findings shed light on the enhancement of the DUV LEDs performance and provide new insights in controlling the light behavior of theμ-LEDs. | Huabin Yu Muhammad Hunain Memon Hongfeng Jia Haochen Zhang Meng Tian Shi Fang Danhao Wang Yang Kang Shudan Xiao Shibing Long Haiding Sun | 2022 | Journal of Semiconductors2022，43，6： | 3 |
| 5 | Sodium tungsten bronze(Na_(x)WO_(3))-doped near-infrared-shielding bulk glasses for energy-saving applications显示文摘Tungsten bronze coatings and films have attracted global attention for their applications in near-infrared(NIR)-shielding windows.However,they are unstable in strong ultraviolet,humid heat,alkaline and/or oxidizing environments and are difficult to be coated on glass surfaces with complex shape.Here,we address these limitations by doping sodium tungsten bronze(Na_(x)WO_(3))into bulk glasses using a simple glass melting method.X-ray diffraction,Raman spectroscopy,X-ray photoelectron spectroscopy,TEM and SEM-EDS characterization confirmed the presence of sodium tungsten bronze(Na_(x)WO_(3))functional units inside the 34SiO_(2)-38B_(2)O_(3)-28NaF glass matrix.Because the functional units are well protected by the glass matrix,the fabricated glasses are stable under hot,humid,oxidizing conditions,as well as under ambient conditions,with no change after 360 days.The NIR-shielding performance of these glasses can be adjusted to as high as 100%by varying WO_(x)concentration(2-8 mol%)and quenching temperature(1000-1400℃).With a content of 6 mol%WO_(x)and a quenching temperature of 1000℃,the bulk glass shows 63%transmission of visible light and only 11%transmission of NIR light at 1100 nm.Thermal insulation experiments show that the NIR-shielding performance of the glasses are far superior to commercial soda lime window glass or indium-doped tin oxide(ITO)glass,and comparable to cesium tungsten bronze coated glass.The novel bulk glasses have higher stability,simpler processing,and can be easily made into complex shapes,making them excellent alternative materials for energy-saving glasses. | Guang Yang Yunhang Qi Daming Hu Haochen Wang Hongfei Chen Liangmiao Zhang Chuanxiang Cao Bin Liu Fang Xia Yanfeng Gao | 2021 | Journal of Materials Science & Technology2021，，30： | 3 |
| 6 | N-doped-carbon coated Ni2P-Ni sheets anchored on graphene with superior energy storage behavior显示文摘Transition metal phosphides (TMPs) have been widely studied as electrode materials for supercapacitors and lithium-ion batteries due to their high electrochemical reacti on activities. The practical applicati on of TMPs was gen erally hampered by their low con ductivity and large volume changes during electrochemical reactions. In this work, nitrogen-doped-carbon (NC) coated Ni2P-Ni hybrid sheets were fabricated and loaded into highly con ductive graphe ne n etwork, forming a Ni2P ?Ni@NC@G composite. The highly con ductive g raphe ne, the NC coati ng layer, and the decorated Ni nano particles in combi nation offer continu ous electro n tran sport cha nnels in the composite, resulti ng with facilitated electrode reaction kinetics and superior rate performance. Besides, the flexible graphene sheets and well-decorated Ni particles among Ni2P can effectively buffer the harmful stress during electrochemical reactions to maintain an integrated electrode structure. With these favorable features, the composite dem on strated superior capacitive and lithium storage behavior. As an electrode material for supercapacitors, the composite shows a remarkable capacitance of 2,335.5 F·g^-1 at 1 A·g^-1 and high capacitance retention of 86.4% after 2,000 cycles. Asymmetrical supercapacitors (ASCs) were also prepared with remarkable energy density of 53.125 Whk·g^-1 and power density of 3,750 Whk·g^-1. As an anode for lithium ion batteries, a high reversible capacity of 1,410 mAh·g^-1 can be delivered at 0.2 A·g^-1 after 200 cycles. Promising high rate capability was also demonstrated with a high discharge capacity of 750 mAh·g^-1 at 8 A·g^-1. This work shall pave the way for the production of other TMP materials for energy storage systems. | Yuanxing Zhang Li Sun Liqi Bai Haochen Si Yu Zhang Yihe Zhang | 2019 | Nano Research2019，12，3： | 3 |
| 7 | Efficacy of rigosertib, a small molecular RAS signaling disrupter for the treatment of KRAS-mutant colorectal cancer显示文摘Objective:Mutant KRAS,the principal isoform of RAS,plays a pivotal role in the oncogenesis of colorectal cancer by constitutively activating the RAF/MEK/ERK and PI3K/AKT pathways.Effective targeted therapies are urgently needed.We investigated whether rigosertib,a benzyl styryl sulfone RAS signaling disruptor,could selectively kill KRAS-mutant colorectal cancer cells.Methods:CCK-8 was used to determine the cell viability.Patient-derived tumor and cancer cell xenograft models were used to detect the inhibitory efficacy of rigosertib.Flow cytometry was used to evaluate the apoptosis and cell cycle progression.Apoptosis and cell cycle arrest markers were detected by Western blot.DCFH-DA was used to determine the reactive oxygen species.Immunohistochemistry staining and Western blot were performed to characterize RAS signaling markers in colorectal cancer tissues and cells.Results:Rigosertib(RGS)exhibited a cytotoxic effect against colorectal cancer cells,which was greater in KRAS-mutant cells.Furthermore,RGS induced mitotic arrest and oxidative stress-dependent apoptosis in KRAS-mutant DLD1 and HCT116 cells.Besides,RGS disrupted RAS signaling,and the inhibition of RAS/MEK/ERK was independent of cellular oxidative stress.Using patient-derived xenograft models,the response and tumor inhibition of RGS were significantly higher in the KRAS-mutant subgroup,while p-MEK,p-ERK,and p-AKT levels of RGS-treated tumors were significantly decreased.Finally,in a KRAS-mutant,chemotherapy-resistant patient-derived xenograft model,RGS showed a stronger therapeutic effect than the combination standard therapy involving fluoropyrimidine+oxaliplatin/irinotecan+bevacizumab.Conclusions:These data showed that targeting RAS signaling using RGS could be a therapeutic treatment for KRAS-mutant colorectal cancer patients. | Xinyi Zhou Qian Xiao Dongliang Fu Haochen Zhang Yang Tang Jinjie He Yeting Hu Xiangxing Kong Fei Teng Xiangrui Liu Ying Yuan Kefeng Ding | 2022 | Cancer Biology & Medicine2022，19，2： | 2 |
| 8 | Improved peroxidase-mimic property: Sustainable, high- efficiency interfacial catalysis with H2O2 on the surface of vesicles of hexavanadate-organic hybrid surfactants显示文摘 | Kun Chen Aruuhan Bayaguud Hui Li Yang Chu Haochen Zhang Hongli Jia Baofang Zhang Zicheng Xiao Pingfan Wu Tianbo Liu Yongge wei | 2018 | Nano Research2018，11，3： | 2 |
| 9 | A reactive oxygen species-responsive hydrogel encapsulated with bone marrow derived stem cells promotes repair and regeneration of spinal cord injury显示文摘Spinal cord injury(SCI)is an overwhelming and incurable disabling event accompanied by complicated inflammation-related pathological processes,such as excessive reactive oxygen species(ROS)produced by the infiltrated inflammatory immune cells and released to the extracellular microenvironment,leading to the widespread apoptosis of the neuron cells,glial and oligodendroctyes.In this study,a thioketal-containing and ROS-scavenging hydrogel was prepared for encapsulation of the bone marrow derived mesenchymal stem cells(BMSCs),which promoted the neurogenesis and axon regeneration by scavenging the overproduced ROS and re-building a regenerative microenvironment.The hydrogel could effectively encapsulate BMSCs,and played a remarkable neuroprotective role in vivo by reducing the production of endogenous ROS,attenuating ROS-mediated oxidative damage and downregulating the inflammatory cytokines such as interleukin-1 beta(IL-1β),interleukin-6(IL-6)and tumor necrosis factor-alpha(TNF-α),resulting in a reduced cell apoptosis in the spinal cord tissue.The BMSCs-encapsulated ROS-scavenging hydrogel also reduced the scar formation,and improved the neurogenesis of the spinal cord tissue,and thus distinctly enhanced the motor functional recovery of SCI rats.Our work provides a combinational strategy against ROS-mediated oxidative stress,with potential applications not only in SCI,but also in other central nervous system diseases with similar pathological conditions. | Ziming Li Tengfei Zhao Jie Ding Haochen Gu Qiaoxuan Wang Yifan Wang Deteng Zhang Changyou Gao | 2023 | Bioactive Materials2023，，1： | 2 |
| 10 | Enhanced photon communication through Bayesian estimation with an SNSPD array显示文摘Laser communication using photons should consider not only the transmission environment’s effects,but also the performance of the single-photon detector used and the photon number distribution.Photon communication based on the superconducting nanowire single-photon detector(SNSPD)is a new technology that addresses the current sensitivity limitations at the level of single photons in deep space communication.The communication’s bit error rate(BER)is limited by dark noise in the space environment and the photon number distribution with a traditional single-pixel SNSPD,which is unable to resolve the photon number distribution.In this work,an enhanced photon communication method was proposed based on the photon number resolving function of four-pixel array SNSPDs.A simulated picture transmission was carried out,and the error rate in this counting mode can be reduced by 2 orders of magnitude when compared with classical optical communication.However,in the communication mode using photon-enhanced counting,the four-pixel response amplitude for counting was found to restrain the communication rate,and this counting mode is extremely dependent on the incident light intensity through experiments,which limits the sensitivity and speed of the SNSPD array’s performance advantage.Therefore,a BER theoretical calculation model for laser communication was presented using the Bayesian estimation algorithm in order to analyze the selection of counting methods for information acquisition under different light intensities and to make better use of the SNSPD array’s high sensitivity and speed and thus to obtain a lower BER.The counting method and theoretical model proposed in this work refer to array SNSPDs in the deep space field. | XIANG LI JINGROU TAN KAIMIN ZHENG LABAO ZHANG LIJIAN ZHANG WEIJI HE PENGWEI HUANG HAOCHEN LI BIAO ZHANG QI CHEN RUI GE SHUYA GUO TAO HUANG XIAOQING JIA QINGYUAN ZHAO XUECOU TU LIN KANG JIAN CHEN PEIHENG WU | 2020 | Photonics Research2020，8，5： | 1 |
| 11 | A Survey on Routing Algorithms for Opportunistic Mobile Social Networks显示文摘Opportunistic Mobile Social Networks(OMSNs)are kind of Delay Tolerant Networks(DTNs)that leverage characteristics of Mobile Ad Hoc Networks(MANETs)and Social Networks,particularly the social features,to boost performance of routing algorithms.Users in OMSNs communicate to share and disseminate data to meet needs for variety of applications.Such networks have attracted tremendous attention lately due to the data transmission requirement from emerging applications such as IoT and smart city initiatives.Devices carried by human is the carrier of message transmission,so the social features of human can be used to improve the ability of data transmission.In this paper,we conduct a comparative survey on routing algorithms in OMSNs.We first analyze routing algorithms based on three social features.Since node selfishness is not really considered previously in aforementioned routing algorithms,but has significant impact on network performance,we treat node selfishness as another social feature,classify and elaborate routing algorithms based on incentive mechanism.To assess the impact of social features on routing algorithms,we conducted simulation for six routing algorithms and analyzed the simulation result.Finally,we conclude the paper with challenges on design of routing in OMSNs and point out some future research directions. | Ying Cai Haochen Zhang Yanfang Fan Hongke Xia | 2021 | China Communications2021，18，2： | 1 |
| 12 | A Comprehensive Evaluation Framework of Water-Energy-Food System Coupling Coordination in the Yellow River Basin,China显示文摘For mankind’s survival and development,water,energy,and food(WEF)are essential material guarantees.In China,however,the spatial distribution of WEF is seriously unbalanced and mismatched.Here,a collaborative governance mechanism that aims at nexus security needs to be urgently established.In this paper,the Yellow River Basin in China with a representative WEF system,was selected as a case.Firstly,a comprehensive framework for WEF coupling coordination was constructed,and the relationship and mechanism between them were analyzed theoretically.Then,we investigated the spatiotemporal characteristics and driving mechanisms of the coupling coordination degree(CCD)with a composite evaluation method,coupling coordination degree model,spatial statistical analysis,and multiscale geographic weighted regression.Finally,policy implications were discussed to promote the coordinated development of the WEF system.The results showed that:1)WEF subsystems showed a significant imbalance of spatial pattern and diversity in temporal changes;2)the CCD for the WEF system varied little and remained at moderate coordination.Areas with moderate coordination have increased,while areas with superior coordination and mild disorder have decreased.In addition,the spatial clustering phenomenon of the CCD was significant and showed obvious characteristics of polarization;and 3)the action of each factor is self-differentiated and regionally variable.For different factors,GDP per capita was of particular importance,which contributed most to the regional development’s coupling coordination.For different regions,GDP per capita,average yearly precipitation,population density,and urbanization rate exhibited differences in geographical gradients in an east-west direction.The conclusion can provide references for regional resource allocation and sustainable development by enhancing WEF system utilization efficiency. | YIN Dengyu YU Haochen LU Yanqi ZHANG Jian LI Gensheng LI Xiaoshun | 2023 | Chinese Geographical Science2023，33，2： | 1 |
| 13 | A Deep Spatio-Temporal Forecasting Model for Multi-Site Weather Prediction Post-Processing显示文摘In this paper, we propose a deep spatio-temporal forecasting model (DeepSTF) for multi-site weather prediction post-processing by using both temporal andspatial information. In our proposed framework, the spatio-temporal information ismodeled by a CNN (convolutional neural network) module and an encoder-decoderstructure with the attention mechanism. The novelty of our work lies in that our modeltakes full account of temporal and spatial characteristics and obtain forecasts of multiple meteorological stations simultaneously by using the same framework. We applythe DeepSTF model to short-term weather prediction at 226 meteorological stations inBeijing. It significantly improves the short-term forecasts compared to other widelyused benchmark models including the Model Output Statistics method. In order toevaluate the uncertainty of the model parameters, we estimate the confidence intervals by bootstrapping. The results show that the prediction accuracy of the DeepSTFmodel has strong stability. Finally, we evaluate the impact of seasonal changes and topographical differences on the accuracy of the model predictions. The results indicatethat our proposed model has high prediction accuracy. | Wenjia Kong Haochen Li Chen Yu Jiangjiang Xia Yanyan Kang Pingwen Zhang | 2022 | Communications in Computational Physics2022，31，1： | 1 |
| 14 | General- ized predictive control for gas supply system in a proton exchange membrane fuel cell 显示文摘 | An Aimin Zhang Haochen Liu Xin | 2012 | Advanced Materials Research2012，，1： | 1 |
| 15 | Bimetallic NiCo2S4 Nanoneedles Anchored on Mesocarbon Microbeads as Advanced Electrodes for Asymmetric Supercapacitors显示文摘Bimetallic Ni–Co sulfides are outstanding pseudocapacitive materials with high electrochemical activity and excellent energy storage performance as electrodes for high-performance supercapacitors.In this study,a novel urchin-like NiCo2S4@mesocarbon microbead(NCS@MCMB) composite with a core–shell structure was prepared by a facile two-step hydrothermal method.The highly conductive MCMBs offered abundant adsorption sites for the growth of NCS nanoneedles,which allowed each nanoneedle to fully unfold without aggregation,resulting in improved NCS utilization and efficient electron/ion transferin the electrolyte.When applied as an electrode material for supercapacitors,the composite exhibited a maximum specific capacitance of 936 Fg-1 at 1 Ag-1 and a capacitance retention of 94% after 3000 cycles at 5 Ag-1,because of the synergistic effect of MCMB and NCS.Moreover,we fabricated an asymmetric supercapacitor based on the NCS@MCMB composite,which exhibited enlarged voltage windows and could power a light-emitting diode device for several minutes,further demonstrating the exceptional electrochemical performance of the NCS@MCMB composite. | Yu Zhang Yihe Zhang Yuanxing Zhang Haochen Si Li Sun | 2019 | Nano-Micro Letters2019，11，2： | 1 |
| 16 | A station-data-based model residual machine learning method for fine-grained meteorological grid prediction显示文摘Fine-grained weather forecasting data,i.e.,the grid data with high-resolution,have attracted increasing attention in recent years,especially for some specific applications such as the Winter Olympic Games.Although European Centre for Medium-Range Weather Forecasts(ECMWF)provides grid prediction up to 240 hours,the coarse data are unable to meet high requirements of these major events.In this paper,we propose a method,called model residual machine learning(MRML),to generate grid prediction with high-resolution based on high-precision stations forecasting.MRML applies model output machine learning(MOML)for stations forecasting.Subsequently,MRML utilizes these forecasts to improve the quality of the grid data by fitting a machine learning(ML)model to the residuals.We demonstrate that MRML achieves high capability at diverse meteorological elements,specifically,temperature,relative humidity,and wind speed.In addition,MRML could be easily extended to other post-processing methods by invoking different techniques.In our experiments,MRML outperforms the traditional downscaling methods such as piecewise linear interpolation(PLI)on the testing data. | Chuansai ZHOU Haochen LI Chen YU Jiangjiang XIA Pingwen ZHANG | 2022 | Applied Mathematics and Mechanics(English Edition)2022，43，2： | 0 |
| 17 | Genomic Selection for Frogeye Leaf Spot Resistance in Soybean显示文摘Soybean frogeye leaf spot(FLS) disease is a global disease affecting soybean yield, especially in the soybean growing area of Heilongjiang Province. In order to realize genomic selection breeding for FLS resistance of soybean, least absolute shrinkage and selection operator(LASSO) regression and stepwise regression were combined, and a genomic selection model was established for 40 002 SNP markers covering soybean genome and relative lesion area of soybean FLS. As a result, 68 molecular markers controlling soybean FLS were detected accurately, and the phenotypic contribution rate of these markers reached 82.45%. In this study, a model was established, which could be used directly to evaluate the resistance of soybean FLS and to select excellent offspring. This research method could also provide ideas and methods for other plants to breeding in disease resistance. | Yao Lanning Chen Yizhi Li Haochen Zhang Yue Xia Mingyu Ning Shicheng Ning Hailong | 2024 | Journal of Northeast Agricultural University(English Edition)2024，31，1： | 0 |
| 18 | Effect of calcination temperature on the pozzolanic activity of maize straw stem ash treated with portlandite solution显示文摘The effect of calcination temperature on the pozzolanic activity of maize straw stem ash(MSSA)was evaluated.The MSSA samples calcined at temperature values of 500,700,and 850℃ were dissolved in portlandite solution for 6 h,thereby obtaining residual samples.The MSSA and MSSA residual samples were analyzed using Fourier transform infrared spectroscopy,X-ray powder diffraction scanning electron microscopy,and X-ray photoelectron spectroscopy to determine vibration bonds,minerals,microstructures,and Si 2p transformation behavior.The conductivity,pH value,and loss of conductivity with dissolving time of the MSSA-portlandite mixed solution were also determined.The main oxide composition of MSSA was silica and potassium oxide.The dissolution of the Si^(4+) content of MSSA at 500℃ was higher than those of the other calcination temperatures.The conductivity and loss of conductivity of MSSA at 700℃ were higher than those of the other calcination temperatures at a particular dissolving time due to the higher KCl content in MSSA at 700℃.C-S-H was easily identified in MSSA samples using X-ray powder diffraction,and small cubic and nearly spherical particles of C-S-H were found in the MSSA residual samples.In conclusion,the optimum calcination temperature of MSSA having the best pozzolanic activity is 500℃,but excessive agglomeration must be prevented. | Tingye Qi Haochen Wang Guorui Feng Yujiang Zhang Jinwen Bai Yanna Han | 2022 | International Journal of Minerals,Metallurgy and Materials2022，29，6： | 0 |
| 19 | Reduced graphene oxide-modified Ni Co-phosphates on Ni foam enabling high areal capacitances for asymmetric supercapacitors显示文摘NiCo-phosphates can deliver high specific capacitances and high electrochemical activities as pseudocapacitive electrode material for supercapacitors.In this study,The NiCo-phosphates@reduced graphene oxide(NCPO@rGO)composite is directly loaded on Ni foam by a simple one-step hydrothermal process.The conductive rGO sheets provides continuous electron pathways between NCPO flowers and Ni foam,allowing active electrochemical reactions throughout the whole electrode.This can solve the difficulty of low active material utility and small areal capacitances in the Ni foam-supported electrodes.At the same time,the rGO sheets creates large amount of mesopores within the electrode,which can ensure a highly open structure for electrolyte attachment and ion transport.Because of the positive effect of rGO in improving charge transfe r,the NiCo-phosphates can be fully involved in the electrochemical reactions with high utility,ensuring high specific capacitances(1416.7 F g^(-1)at 1 A g^(-1))and high-rate performances.Specially,the areal capacitance of the NCPO@rGO electrode can reach as large as 3.69 F cm^(-2)at 1 A g^(-1),which is among the highest ones in Ni foam supported electrodes.An asymmetric supercapacitor is then fabricated by NCPO@rGO as the positive material with attractive energy densities and power densities,further proving its excellent electrochemical performance. | Chao Sun Li Sun Yuanxing Zhang Haochen Si Kaifeng Fan Yan Shi Jialin Gu Yihe Zhang | 2021 | Journal of Materials Science & Technology2021，，31： | 0 |
| 20 | Introduction to bioimaging-based spatial multi-omic novel methods显示文摘Background: Spatial multi-omics are demonstrated to be a powerful method to assist researchers on genetic studies. In this review, bioimaging-based spatial multi-omics techniques such as seqFISH+, merFISH, integrated DNA seqFISH+, DNA merFISH, and MINA are introduced along with each technique’s probe design, development, and imaging processes.Results: seqFISH employed 4–5 fluorophores to barcode and conducted multiple rounds of hybridization, in order that mRNA can be identified through color-coding. seqFISH+ added 60 pseudo-color and distributed them equally into three channels to enhance imaging power, in order that i.e., 24,000 genes can be imaged in total. merFISH utilized 4 out 16 Hamming distance to innovatively provide a robust error-detecting method. MINA, a methodology combining merFISH (multiplexed error-robust fluorescence in situ hybridization) and chromosomal tracing, enabled multiplexed genomic architecture imaged in mammalian single cells. Optical reconstruction of chromatin architecture (ORCA) a method that could conduct DNA path tracing in nanoscale manner with kilobase resolution, an FISH variation that improved genetic resolution, enable high-precision fiducial registration and sequential imaging, and utilized Oligopaint probe to hybridize the short genomic region ranging from 2 to 10 kilobase. ORCA then prescribes these short section primary probes with individual barcodes to attach fluorophore and to be imaged.Conclusion: This review concentrated on providing a comprehensive overview for these spatial-multi-omics techniques with the intention on helping researchers on selecting appropriate technique for their research. | Yan Yan Liheng Yang Leyuan Meng Haochen Su Cheng Zhou Le Yu Zhengtu Li Xu Zhang Huihua Cai Juntao Gao | 2023 | Quantitative Biology2023，11，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员