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| 1 | Direct conversion of astrocytes into neuronal cells by drug cocktail显示文摘 | Lin Cheng Longfei Gao Wuqiang Guan Jianxin Mao Wenxiang Hu Binlong- Qiu Jian Zhao Yongchun Yu Gang Pei | 2015 | Cell Research2015，25，11： | 14 |
| 2 | Monitoring Maize Lodging Grades via Unmanned Aerial Vehicle Multispectral Image显示文摘Lodging is one of the main factors affecting the quality and yield of crops.Timely and accurate determination of crop lodging grade is of great significance for the quantitative and objective evaluation of yield losses.The purpose of this study was to analyze the monitoring ability of a multispectral image obtained by an unmanned aerial vehicle(UAV)for determination of the maize lodging grade.A multispectral Parrot Sequoia camera is specially designed for agricultural applications and provides new information that is useful in agricultural decision-making.Indeed,a near-infrared image which cannot be seen with the naked eye can be used to make a highly precise diagnosis of the vegetation condition.The images obtained constitute a highly effective tool for analyzing plant health.Maize samples with different lodging grades were obtained by visual interpretation,and the spectral reflectance,texture feature parameters,and vegetation indices of the training samples were extracted.Different feature transformations were performed,texture features and vegetation indices were combined,and various feature images were classified by maximum likelihood classification(MLC)to extract four lodging grades.Classification accuracy was evaluated using a confusion matrix based on the verification samples,and the features suitable for monitoring the maize lodging grade were screened.The results showed that compared with a multispectral image,the principal components,texture features,and combination of texture features and vegetation indices were improved by varying degrees.The overall accuracy of the combination of texture features and vegetation indices is 86.61%,and the Kappa coefficient is 0.8327,which is higher than that of other features.Therefore,the classification result based on the feature combinations of the UAV multispectral image is useful for monitoring of maize lodging grades. | Qian Sun Lin Sun Meiyan Shu Xiaohe Gu Guijun Yang Longfei Zhou | 2019 | Plant Phenomics2019，1，1： | 5 |
| 3 | Cancer Immunotherapy Targeting the Telomerase Reverse Transcriptase显示文摘人的 telomerase 颠倒 transcriptase (hTERT ) 在超过 85% 肿瘤房间被表示,但是通常没在正常房间被发现,它作为理想的肿瘤伙伴抗原(TAA ) 做 hTERT 开发没有在人的癌症免疫疗法损害正常纸巾,明确地破坏癌症的潜在的疫苗。这被考察 hTERT 或它的肽和早临床的 trials using 的 immunogenicity 上的研究的基本进展在最后十年的 hTERT 疫苗途径。 | Longfei Huo Janice WS Tang Junjian Huang Peitang Huang Cuifen Huang Hsiang-fu Kung Marie C. Lin | 2006 | Cellular & Molecular Immunology2006，3，1： | 4 |
| 4 | Piezo-phototronic and pyro-phototronic effects to enhance Cu(In, Ga)Se2 thin film solar cells显示文摘 | Laipan Zhu Pei Lin Baodong Chen Longfei wang Libo Chen Ding Li Zhong Lin Wang | 2018 | Nano Research2018，11，7： | 2 |
| 5 | Pelagic-benthic coupling of the microbial food web modifies nutrient cycles along a cascade-dammed river显示文摘Cascade dams disrupt the river continuum,altering hydrology,biodiversity and nutrient flux.Describing the diversity of multi-trophic microbiota and assessing microbial contributions to the ecosystem processes are prerequisites for the restoration of these aquatic systems.This study investigated the microbial food web structure along a cascade-dammed river,paying special attention to the multi-trophic relationships and the potential role of pelagic-benthic coupling in nutrient cycles.Our results revealed the discontinuity in bacterial and eukaryotic community composition,functional group proportion,as well as a-diversity due to fragmentation by damming.The high microbial dissimilarity along the river,with the total multi-trophic P-diversity was 0.84,was almost completely caused by species replacement.Synchronization among trophic levels suggests potential interactions of the pelagic and the benthic groups,of which the p-diversities were primarily influenced by geographic and environmental factors,respectively.Dam-induced environmental variations,especially hydrological and nutrient variables,potentially influence the microbial food web via both top-down and bottom-up forces.We proposed that the cycles of carbon,nitrogen and phosphorus are influenced by multi-trophic groups through autotrophic and heterotrophic processes,predator-prey relationships,as well as the release of nutrients mainly by microfauna.Our results advance the notion that pelagic-benthic trophic coupling may intensify the accumulation of organic carbon,ammonium and inorganic phosphorus,thereby changing the biogeochemical patterns along river systems.As a consequence,researchers should pay more attention to the multi-trophic studies when assessing the environmental impacts,and to provide the necessary guidance for the ecological conservation and restoration of the dam-regulated systems. | Nan Yang Linqiong Wang Li Lin Yi Li Wenlong Zhang Lihua Niu Huanjun Zhang Longfei Wang | 2022 | Frontiers of Environmental Science & Engineering2022，16，4： | 1 |
| 6 | Acid Strength Controlled Reaction Pathways for the Catalytic Cracking of1-Butene to Propene over ZSM-5显示文摘 | Lin Longfei Qiu Caifei Zhuo Zuoxi | 2014 | J Catal2014，309，： | 1 |
| 7 | Glucoamylase production by the marine yeast Aureobasidium pullulans N13d and hydrolysis of potato starch granules by the enzyme显示文摘 | Haifeng Li Zhenming Chi Xiaohui Duan Lin Wang Jun Sheng Longfei Wu | 2006 | Process Biochemistry2006，，3： | 1 |
| 8 | Acid strength controlled reaction pathways for the catalytic cracking of 1-butene to propene over ZSM-5显示文摘 | Lin Longfei Qiu Caifeng Zhuo Zuoxi | 2014 | J Catal2014，309，： | 1 |
| 9 | Reliability Analysis for Complex Systems Based on Dynamic Evidential Network Considering Epistemic Uncertainty显示文摘Fault tolerant technology has greatly improved the reliability of modern systems on one hand and makes their failure mechanisms more complex on the other.The characteristics of dynamics of failure,diversity of distribution and epistemic uncertainty always exist in these systems,which increase the challenges in the reliability assessment of these systems significantly.This paper presents a novel reliability analysis framework for complex systems within which the failure rates of components are expressed in interval numbers.Specifically,it uses a dynamic fault tree(DFT)to model the dynamic fault behaviors and copes with the epistemic uncertainty using Dempster-Shafer(D-S)theory and interval numbers.Furthermore,an approach is presented to convert a DFT into a dynamic evidential network(DEN)to calculate the reliability parameters.Additionally,a sorting method based on the possibility degree is proposed to rank the importance of components represented by interval numbers in order to obtain the most critical components,which can be used to provide the guidance for system design,maintenance planning and fault diagnosis.Finally,a numerical example is provided to illustrate the availability and efficiency of the proposed method. | Rongxing Duan Yanni Lin Longfei Hu | 2017 | Computer Modeling in Engineering & Sciences2017，，1： | 1 |
| 10 | Probabilistic stability analysis of Bazimen landslide with monitored rainfall data and water level fluctuations in Three Gorges Reservoir, China显示文摘Landslide is a common geological hazard in reservoir areas and may cause great damage to local residents’life and property.It is widely accepted that rainfall and periodic variation of water level are the two main factors triggering reservoir landslides.In this study,the Bazimen landslide located in the Three Gorges Reservoir(TGR)was back-analyzed as a case study.Based on the statistical features of the last 3-year monitored data and field instrumentations,the landslide susceptibility in an annual cycle and four representative periods was investigated via the deterministic and probabilistic analysis,respectively.The results indicate that the fluctuation of the reservoir water level plays a pivotal role in inducing slope failures,for the minimum stability coefficient occurs at the rapid decline period of water level.The probabilistic analysis results reveal that the initial sliding surface is the most important area influencing the occurrence of landslide,compared with other parts in the landslide.The seepage calculations from probabilistic analysis imply that rainfall is a relatively inferior factor affecting slope stability.This study aims to provide preliminary guidance on risk management and early warning in the TGR area. | Wengang ZHANG Libin TANG Hongrui LI Lin WANG Longfei CHENG Tingqiang ZHOU Xiang CHEN | 2020 | Frontiers of Structural and Civil Engineering2020，14，5： | 1 |
| 11 | Potential of endophytic bacteria isolated from Sophora alopecuroides nodule in biological control against Verticillium wilt disease显示文摘 | Lin Tianxing Zhao Longfei Yang Yazhen | 2013 | Australian Journal of Crop Science2013，7，1： | 1 |
| 12 | A meta-analysis of the impacts of forest logging on soil CO2 efflux显示文摘Soil CO2 efflux,the second largest flux in a forest carbon budget,plays an important role in global carbon cycling.Forest logging is expected to have large effects on soil CO2 efflux and carbon sequestration in forest ecosystems.However,a comprehensive understanding of soil CO2 efflux dynamics in response to forest logging remains elusive due to large variability in results obtained across individual studies.Here,we used a meta-analysis approach to synthesize the results of 77 individual field studies to determine the impacts of forest logging on soil CO2 efflux.Our results reveal that forest logging significantly stimulated soil CO2 efflux of the growing season by 5.02%.However,averaged across all studies,nonsignificant effect was detected following forest logging.The large variation among forest logging impacts was best explained by forest type,logging type,and time since logging.Soil CO2 efflux in coniferous forests exhibited a significant increase(4.38%)due to forest logging,while mixed and hardwood forests showed no significant change.Logging type also had a significant effect on soil CO2 efflux,with thinning increasing soil CO2 efflux by 12.05%,while clear-cutting decreasing soil CO2 efflux by 8.63%.The time since logging also had variable effects,with higher soil CO2 efflux for 2 years after logging,and lower for 3-6 years after logging;when exceeded 6 years,soil CO2 efflux increased.As significantly negative impacts of forest logging were detected on fine root biomass,the general positive effects on soil CO2 efflux can be explained by the accelerated decomposition of organic matter as a result of elevated soil temperature and organic substrate quality.Our results demonstrate that forest logging had potentially negative effects on carbon sequestration in forest ecosystems. | LongFei Chen YangZhou Xiang ZhiBin He Jun Du PengFei Lin Xi Zhu | 2020 | Research in Cold and Arid Regions2020，12，3： | 1 |
| 13 | Processes of runoff in seasonally-frozen ground about a forested catchment of semiarid mountains显示文摘Climate warming increases the variability in runoff of semiarid mountains where seasonally-frozen ground is widely distributed.However,what is not well understood are the processes of runoff,hydrological drivers,and freeze-thaw cycles in seasonally-frozen ground in semiarid mountains.To understand how freeze-thaw cycles affect runoff processes in seasonally-frozen ground,we monitored hydrological processes in a typical headwater catchment with seasonally-frozen ground in Qilian Mountain,China,from 2002 to 2017.We analyzed the responses of runoff to temperature,precipitation,and seasonally-frozen ground to quantify process characteristics and driving factors.The results show that annual runoff was 88.5 mm accounting for 25.6%of rainfall,mainly concentrated in May to October,with baseflow of 36.44 mm.Peak runoff occurred in June,August,and September,i.e.,accounting for spring and summer floods.Runoff during the spring flood was produced by a mix of rainfall,melting snow,and melting seasonally-frozen ground,and had a significant correlation with air temperature.Runoff was mainly due to precipitation accumulation during the summer flood.Air temperature,average soil temperature at 0−50 cm depth,and frozen soil depth variable explained 59.60%of the variation of runoff in the thawing period,while precipitation variable explained 21.9%.Thawing-period runoff and soil temperature had a>0.6 correlation coefficient(P<0.05).In the rainfall-period,runoff was also affected by temperature,soil moisture,and precipitation,which explained 33.6%,34.1%and 18.1%,respectively.Our results show that increasing temperature and precipitation will have an irreversible impact on the hydrological regime in mountainous basins where seasonally-frozen ground is widely distributed. | PengFei Lin ZhiBin He Jun Du LongFei Chen Xi Zhu QuanYan Tian | 2020 | Research in Cold and Arid Regions2020，12，5： | 1 |
| 14 | Benefit analysis of multi-approach biomass energy utilization toward carbon neutrality显示文摘To reduce greenhouse gas(GHG)emissions,biomass has been increasingly developed as a renewable and clean alternative to fossil fuels because of its carbon-neutral characteristics.China has been investigating the rational development and use of bioenergy for developing its clean energy and achieving carbon neutrality.Substituting fossil fuels with multi-source and multi-approach utilized bioenergy and corresponding carbon reduction in China remain largely unexplored.Here,a comprehensive bioenergy accounting model with a multi-dimensional analysis was developed by combining spatial,life cycle,and multi-path analyses.Accordingly,the bioenergy production potential and GHG emission reduction for each distinct type of biomass feedstock through different conversion pathways were estimated.The sum of all available organic waste(21.55 EJ yr^(-1))and energy plants on marginal land(11.77 EJ yr^(-1))in China produced 23.30 EJ of bioenergy and reduced 2,535.32 Mt CO_(2)-eq emissions,accounting for 19.48%and 25.61%of China’s total energy production and carbon emissions in 2020,respectively.When focusing on the carbon emission mitigation potential of substituting bioenergy for conventional counterparts,bioelectricity was the most effective,and its potential was 4.45 and 8.58 times higher than that of gaseous and liquid fuel alternatives,respectively.In this study,life cycle emission reductions were maximized by a mix of bioenergy end uses based on biomass properties,with an optimal 78.56%bioenergy allocation from biodiesel,densified solid biofuel,biohydrogen,and biochar.The main regional bioenergy GHG mitigation focused on the Jiangsu,Sichuan,Guangxi,Henan,and Guangdong provinces,contributing to 31.32%of the total GHG mitigation potential.This study provides valuable guidance on exploiting untapped biomass resources in China to secure carbon neutrality by 2060. | Jiaoyue Wang Jingying Fu Zhitong Zhao Longfei Bing Fengming Xi Feng Wang Jiang Dong Shiyun Wang Gang Lin Yan Yin Qinqin Hu | 2023 | The Innovation2023，4，3： | 0 |
| 15 | Reversible hydrogenation restores defected graphene to graphene显示文摘Graphene as a two-dimensional material is prone to hydrocarbon contaminations,which can significantly alter its intrinsic electrical properties.Herein,we implement a facile hydrogenation-dehydrogenation strategy to remove hydrocarbon contaminations and preserve the excellent transport properties of monolayer graphene.Using electron microscopy we quantitatively characterized the improved cleanness of hydrogenated graphene compared to untreated samples.In situ spectroscopic investigations revealed that the hydrogenation treatment promoted the adsorption of water at the graphene surface,resulting in a protective layer against the re-deposition of hydrocarbon molecules.Additionally,the further dehydrogenation of hydrogenated graphene rendered a more pristine-like basal plane with improved carrier mobility compared to untreated pristine graphene.Our findings provide a practical post-growth cleaning protocol for graphene with maintained surface cleanness and lattice integrity to systematically carry a range of surface chemistry in the form of a well-performing and reproducible transistor. | Lin Jiang Pauline MGvan Deursen Hadi Arjmandi-Tash Liubov ABelyaeva Haoyuan Qi Jiao He Vincent Kofman Longfei Wu Valery Muravev Ute Kaiser Harold Linnartz Emiel JMHensen Jan PHofmann Grégory FSchneider | 2021 | Science China Chemistry2021，64，6： | 0 |
| 16 | dBrms1 Acts as a Positive Regulator of Notch Signaling in Drosophila Wing显示文摘The highly conserved Notch signaling is precisely regulated at different steps in a series of developmental events. However, little is known about the regulation of Notch receptor at transcriptional level. Here, we demonstrate that dBrms1 is involved in regulating Notch signaling in Drosophila wing. We show that knockdown of dBrms1 by RNA interference(RNAi) in wing disc suppresses the expression of Notch signaling target genes wingless(wg), cut and Enhancer of split m8 [E(spl)m8]. Consistently, the levels of Wg and Cut are reduced in the dBrms1 mutant clones. Importantly, loss of dBrms1 leads to significant reduction of Notch proteins. Furthermore, depletion of dBrms1 results in apparent downregulation of Notch transcription in the wing disc. Moreover, we find that dBrms1 is functionally conserved with human Breast cancer metastasis suppressor 1 like(hBRMS1L) in the modulation of Notch signaling. Taken together, our data provide important insights into the biological function of dBrms1 in regulating Notch signaling. | Qinghai Zhang Yan Zhang Longfei Wu Yongfei Yang Xue Li Lei Gao Xiaomeng Hou Yihui Wu Guoli Hou Zhouhua Li Xinhua Lin | 2014 | Journal of Genetics and Genomics2014，41，6： | 0 |
| 17 | Flexo-photocatalysis in centrosymmetric semiconductors显示文摘The separation of photogenerated electron–hole pairs is vitally important for photocatalysis,which can be effectively promoted by polarization field.However,it only manifests in piezoelectric/pyroelectric/ferroelectric materials that have a non-centrosymmetric structure.Here,we demonstrate that the polarization enhanced photocatalysis(with wide spectra from ultraviolet(UV)light to visible light)can be achieved in centrosymmetric semiconductors,such asδ-MnO_(2) and TiO_(2) nanosheets integrated nanoflowers,by using the strain-gradient-induced flexoelectric polarization that is always overlooked in polarization-enhanced catalysis.Under ultrasonic and illumination excitation,the organic pollutants(methylene blue(MB),etc.)can be effectively degraded within 30 min with excellent stability and repeatability.Compared with photocatalysis,the flexo-photocatalytic performance of above centrosymmetric semiconductors is substantially increased by 85%.Moreover,the factors related to flexo-photocatalysis such as material morphology,mechanical stimuli source,and adsorption are explored to deeply understand the mechanism of flexo-photocatalysis.This work opens up a way for high-performance photocatalysis in centrosymmetric semiconductors. | Kang Liu Tong Wu Luying Xu Zhuangzhuang Zhang Zhiyu Liu Longfei Wang Zhong Lin Wang | 2024 | Nano Research2024，17，3： | 0 |
| 18 | The consistency between Na content distribution at the subsurface and the lake body’s movement in Lop Nur显示文摘Historically,Lop Nur was a large and famous salt lake that acted as an important geographic position along the ancient‘Silk Road’,and was associated with the surrounding old civilizations,such as Loulan and Haitou.However,it dried up before 1972.It shows a clear‘Ear’feature on synthetic aperture radar(SAR)images.The objective of this paper is to interpret Lop Nur’s environmental evolution during its drying-up process based on an analysis of its sodium sedimentary feature.The genetic algorithm-partial least squares approach is introduced as a modeling method to retrieve the subsurface sodium content from polarimetric parameters obtained by Cloude decomposition.As a result,the R2 and root-mean-square error can reach 0.7 and 9.1 g/kg.It is suggested that the subsurface salt content was the primary reason for the bright-grey strips textures on SAR images.Furthermore,our results show that the sodium content along the same strip changed,with its distribution exhibiting consistency with the lake body’s movement driven by the strong wind.In future,high-precision topographical data will be considered,and should be helpful in the analysis of lake body movement.The method of this paper can also be applied in other similar dried salt lakes. | Bingyan Li Huaze Gong Yun Shao Lin Li Longfei Wang Changan Liu Kaixin Xie | 2016 | International Journal of Digital Earth2016，9，7： | 0 |
| 19 | Comparison of Production-Triggering Strategies for Manufacturing Enterprises under Random Orders显示文摘Although new technologies have been deeply applied in manufacturing systems,manufacturing enterprises are still encountering difficulties in maintaining efficient and flexible production due to the random arrivals of diverse customer requirements.Fast order delivery and low inventory cost are fundamentally contradictory to each other.How to make a suitable production-triggering strategy is a critical issue for an enterprise to maintain a high level of competitiveness in a dynamic environment.In this paper,we focus on production-triggering strategies for manufacturing enterprises to satisfy randomly arriving orders and reduce inventory costs.Unified theoretical models and simulation models of different production strategies are proposed,including time-triggered strategies,event-triggered strategies,and hybrid-triggered strategies.In each model,both part-production-triggering strategies and product-assembly-triggering strategies are considered and implemented.The time-triggered models and hybrid-triggered models also consider the impact of the period on system performance.The results show that hybrid-triggered and time-triggered strategies yield faster order delivery and lower inventory costs than event-triggered strategies if the period is set appropriately. | Longfei Zhou Lin Zhang Yajun Fang | 2021 | Engineering2021，7，6： | 0 |
| 20 | A novel convolutional neural network for electronic component classification with diverse backgrounds显示文摘The rapid development of computer vision techniques has brought new opportunities for manufacturing industries,accelerating the intelligence of manufacturing systems in terms of product quality assurance,automatic assembly,and industrial robot control.In the electronics manufacturing industry,intensive variability in component shapes and colors,background brightness,and visual contrast between components and back-ground results in difficulties in printed circuit board image classification.In this paper,we apply computer vision techniques to detect diverse electronic components from their background images,which is a challenging problem in electronics manufacturing indus-tries because there are multiple types of components mounted on the same printed circuit board.Specifically,a 13-layer convolutional neural network(ECON)is proposed to detect electronic components either of a single category or of diverse categories.The proposed network consists of five Convolution-MaxPooling blocks,followed by a flat-tened layer and two fully connected layers.An electronic component image dataset from a real manufacturing company is applied to compare the performance between ECON,Xception,VGG16,and VGG19.In this dataset,there are 11 categories of components as well as their background images.Results show that ECON has higher accuracy in both single-category and diverse component classification than the other networks. | Longfei Zhou Lin Zhang | 2022 | International Journal of Modeling, Simulation, and Scientific Computing2022，13，1： | 0 |
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