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| 1 | The Impacts of Permafrost Change on NPP and Implications:A Case of the Source Regions of Yangtze and Yellow Rivers显示文摘This paper studies the relationship between net primary productivity (NPP) and annual average air temperature (GT) at 0cm above ground in permafrost regions by using revised Chikugo NPP model,cubic spline interpolating functions,and non-linear regression methods.The source regions of the Yangtze and Yellow Rivers were selected as the research areas.Results illustrate that:(1) There is significant non-linear relationship between NPP and GT in various typical years;(2) The maximum value of NPP is 6.17,5.87,7.73,and 5.41 DM·t·hm-2 ·a-1 respectively,and the corresponding GT is 7.1,10.0,21.2,and 8.9 o C respectively in 1980,1990,2000 and 2007;(3) In 1980,the sensitivity of NPP to GT is higher than in 1990,2000 and 2007.This tendency shows that the NPP presents change from fluctuation to an adaptation process over time;(4) During 1980~2007,the accumulated NPP was reduced to 8.05,and the corresponding carrying capacity of theoretical livestock reduced by 11%;(5) The shape of the demonstration region of ecological compensation system,livelihood support system,and science appraisal system in the source regions of Yangtze and Yellow Rivers are an important research for increasing the adaptation capacity and balancing protection and development. | FANG Yiping QIN Dahe DING Yongjian YANG Jianping XU Keyan | 2011 | Journal of Mountain Science2011，8，3： | 9 |
| 2 | Geochemical Features and Metallogenic Prediction of the Caixiashan-Weiquan Area in the East Tianshan Region显示文摘Caixiashan-Weiquan 区域是在东方 Tianshan metallogenic 带的一个重要矿石集中区域。第一,这份报纸学习 Matoutan mapsheet 的 1:200000 溪流沉积的 1564 件样品的 geochemical 特征,在 Caixiashan 和 Weiquan 存款被定位的地方。处理,探索 geochemical 数据的分析和解释在发现矿石的过程起一个重要作用,它与 geochemical 样品的测量元素内容是否能有效地指导矿物质探索的工作有关。作为一个高度非线性的动态系统,神经网络与常规 geochemical 途径相比以原则和特征更类似于人的大脑。它能使自己适应环境,总结法律,完全的模式识别。第二,作者使用了分类所有的神经网络基于溪流沉积样品的 10 个矿化作用元素取样以便决定可能的矿物质矿石,减少矿石目标的范围并且学习第九组样品的指示物元素的 Kohonen ,它是主要,最近到沉积物,结果证明神经网络能描出 metallogenic 未来的区域并且在深 geochemical 信息的发现是有效的。 | LU Lu ZHU Lixin XIAO Keyan MA Shengming YIN Jiangning XU Mingzuan | 2012 | Acta Geologica Sinica(English Edition)2012，86，4： | 3 |
| 3 | Bract suppression regulated by the miR156/529-SPLs-NL1-PLA1 module is required for the transition from vegetative to reproductive branching in rice显示文摘Reproductive transition of grasses is characterized by switching the pattern of lateral branches,featuring the suppression of outgrowth of the subtending leaves(bracts)and rapid formation of higher-order branches in the inflorescence(panicle).However,the molecular mechanisms underlying such changes remain largely unknown.Here,we show that bract suppression is required for the reproductive branching in rice.We identified a pathway involving the intrinsic time ruler microRNAI56/529,their targets SQUAMOSA PROMOTER BINDING PROTEIN LIKE(SPL)genes,NECK LEAF1(NL1),and PLASTOCHRON1(PLA1),which regulates the bract outgrowth and thus affects the pattern switch between vegetative and reproductive branching.Suppression of the bract results in global reprogramming of transcriptome and chromatin accessibility following the reproductive transition,while these processes are largely dysregu-lated in the mutants of these genes.These discoveries contribute to our understanding of the dynamic plant architecture and provide novel insights for improving crop yields. | Lei Wang Luchang Ming Keyan Liao Chunjiao Xia Shengyuan Sun Yu Chang Hongkai Wang Debao Fu Conghao Xu Zhengji Wang Xu Li Weibo Xie Yidan Ouyang Qinglu Zhang Xianghua Li Qinghua Zhang Jinghua Xiao Qifa Zhang | 2021 | Molecular Plant2021，14，7： | 2 |
| 4 | 3D Mineral Prospectivity Mapping Based on Deep Metallogenic Prediction Theory:A Case Study of the Lala Copper Mine,Sichuan,China显示文摘With the decrease in surface and shallow ore deposits,mineral exploration has focused on deeply buried ore bodies,and large-scale metallogenic prediction presents new opportunities and challenges.This paper adopts the predictive thinking method in this era of big data combined with specific research on the special exploration and exploitation of deep-earth resources.Four basic theoretical models of large-scale deep mineralization prediction and evaluation are explored:mineral prediction geological model theory,multidisciplinary information correlation theory,mineral regional trend analysis theory,and mineral prediction geological differentiation theory.The main workflow of large-scale deep resource prediction in the digital and information age is summarized,including construction of ore prospecting models of metallogenic systems,multiscale 3 D geological modeling,and 3 D quantitative prediction of deep resources.Taking the Lala copper mine in Sichuan Province as an example,this paper carries out deep 3 D quantitative prediction of mineral resources and makes a positive contribution to the future prediction and evaluation of mineral resources. | Keyan Xiao Jie Xiang Mingjing Fan Yang Xu | 2021 | Journal of Earth Science2021，32，2： | 2 |
| 5 | Nickel(Ⅱ) removal from water using silica-based hybrid adsorbents:Fabrication and adsorption kinetics显示文摘A series of novel silica-based hybrid adsorbents were prepared by the crosslinking reaction of N-[3-(trimethoxysilyl)propyl] ethylene diamine(TMSPEDA) with epichlorohydrin(ECH) via a sol–gel process.Fourier transform infrared(FTIR) spectra confirmed that the reaction occurred.TGA curves showed that the thermal stability of these hybrid adsorbents reached as high as 180 °C.As a typical example,the adsorption performance of nickel(II) ions onto an adsorbent(the volume ratio of TMSPEDA and ECH was 4:1) was explored.It was found that the adsorption of nickel(II) ions onto this adsorbent followed the Lagergren pseudo-second-order kinetic model.The investigation of the adsorption mechanism demonstrated that nickel(II) adsorption was chiefly controlled by diffusion–chemisorption,suggesting that more diffusion processes were involved in the adsorption of nickel(II) ions onto this type of adsorbents.Desorption experiment indicates that these hybrid adsorbents can be regenerated.These findings reveal that this type of silica-based hybrid adsorbent is promising in the separation and recovery of nickel(II) ions from Ni-containing wastewater or contaminated water. | Min Xu Junsheng Liu Keyan Hu Congyong Xu Yaoyao Fang | 2016 | Chinese Journal of Chemical Engineering2016，24，10： | 1 |
| 6 | Uncertainty Visualisation of a 3D Geological Geometry Model and Its Application in GIS-Based Mineral Resource Assessment:A Case Study in Huayuan District,Northwestern Hunan Province,China显示文摘This paper reports an application of uncertainty visualisation of a regional scale(1:50000)3 D geological geometry model to be involved in GIS-based 3 D mineral potential assessment of the Xiangxibei lead-zinc mineral concentration area in northwestern Hunan District,China.Three-dimensional(3 D)geological modelling is a process of interpretation that combines a set of input measurements in geometry.Today,technology has become a necessary part of GIS-based deep prospecting.However,issues of sparse data and imperfect understanding exist in the process so that there are several uncertainties in 3 D geological modelling.And these uncertainties are inevitably transmitted into the post-processing applications,such as model-based mineral resource assessment.Thus,in this paper,first,a big-data-based method was used to estimate the uncertainty of a 3 D geological model;second,a group of expectations of geological geometry uncertainty were calculated and integrated into ore-bearing stratoisohypse modelling,which is one of the major favourable parameters of assessment for Lead-Zinc(Pb-Zn)deep prospectivity mapping in northwestern Hunan;and finally,prospecting targets were improved. | Nan Li Cangbai Li Wenkai Chu Keyan Xiao Weihan Tao Xianglong Song Rui Cao Yang Xu Mingjing Fan | 2021 | Journal of Earth Science2021，32，2： | 1 |
| 7 | Reducing Packing Factor of Znln2S4 to Promote Photocatalytic Activity显示文摘Due to the quite sluggish charge-carrier separation in semiconductor photocatalysts,the photocatalytic ac-tivity of these materials is still far inferior than anticipated.Herein,a novel approach to reducing the packing factor(PF)of Znln2S4 semiconductors to improve the charge-carrier separation is offered.The well-crystallized Zn1-xIn2S4-x(x=0,0.05,0.1)powders were productively prepared through solid-state reactions.Their structures were verified by the high-resolution transmission electron microscopy,powder X-ray diffraction,and X-ray photoelectron spectroscopy.The PE values of Zn1-xIn2S4-x(x=0,0.05,0.1)samples were calculated to be 0.683.0.651.and 0.618.respectively.The reduction.of the PF for Zn1-xIn2S4-x with increasing x can promote the separation of photoexcited carriers,and this process was endorsed by their photoelectric response and photoluminescence emission spectra.The Zn0.9In2S3.9 sample with a lower PF value presents roughly 21 times higher photocurrent density and four times higher photodegrading rate of methyl orange than those of pristine ZnIn2S4. | HU Keyan XU Zian LIU Yiting HUANG Fuqiang | 2020 | Chemical Research in Chinese Universities2020，36，6： | 0 |
| 8 | Gene cloning,protein expression,and enzymatic characterization of a double-stranded RNA degrading enzyme in Apolygus lucorum显示文摘RNA interference(RNAi)is a powerful tool that post-transcriptionally silences target genes in eukaryotic cells.However,silencing efficacy varies greatly among different insect species.Recently,we met with little success when attempting to knock down genes in the mirid bug Apolygus lucorum via dsRNA injection.The disappearance of double-stranded RNA(dsRNA)could be a potential factor that restricts RNAi efficiency.Here,we found that dsRNA can be degraded in midgut fluids,and a dsRNase of A.lucorum(AldsRNase)was identified and characterized.Sequence alignment indicated that its 6 key amino acid residues and the Mg2+-binding site were similar to those of other insects’dsRNases.The signal peptide and endonuclease non-specific domain shared high sequence identity with the brown-winged green stinkbug Plautia stali dsRNase.AldsRNase showed high salivary gland and midgut expression and was continuously expressed through the whole life cycle,with peaks at the 4th instar ecdysis in the whole body.The purified AldsRNase protein obtained by heterologously expressed can rapidly degrade dsRNA.When comparing the substrate specificity of AldsRNase,3 specific substrates(dsRNA,small interfering RNA,and dsDNA)were all degraded,and the most efficient degradation is dsRNA.Subsequently,immunofluorescence revealed that AldsRNase was expressed in the cytoplasm of midgut cells.Through cloning and functional study of AldsRNase,the enzyme activity and substrate specificity of the recombinant protein,as well as the subcellular localization of nuclease,the reason for the disappearance of dsRNA was explained,which was useful in improving RNAi efficiency in A.lucorum and related species. | Jie-Yu Zhang Jing Zhao Keyan Zhu-Salzman Qin-Qin Ji Yi-Ping Jiang Liu-Bin Xiao De-Jin Xu Guang-Chun Xu Lin-Quan Ge Yong-An Tan | 2024 | Insect Science2024，31，1： | 0 |
| 9 | TO–YOLOX: a pure CNN tiny object detection model for remotesensing images显示文摘Remote sensing and deep learning are being widely combined in tasks such as urban planning and disaster prevention.However,due to interference occasioned by density,overlap,and coverage,the tiny object detection in remote sensing images has always been a difficult problem.Therefore,we propose a novel TO–YOLOX(Tiny Object–You Only Look Once)model.TO–YOLOX possesses a MiSo(Multiple-in-Singleout)feature fusion structure,which exhibits a spatial-shift structure,and the model balances positive and negative samples and enhances the information interaction pertaining to the local patch of remote sensing images.TO–YOLOX utilizes an adaptive IOU-T(Intersection Over Uni-Tiny)loss to enhance the localization accuracy of tiny objects,and it applies attention mechanism Group-CBAM(group-convolutional block attention module)to enhance the perception of tiny objects in remote sensing images.To verify the effectiveness and efficiency of TO–YOLOX,we utilized three aerial-photography tiny object detection datasets,namely VisDrone2021,Tiny Person,and DOTA–HBB,and the following mean average precision(mAP)values were recorded,respectively:45.31%(+10.03%),28.9%(+9.36%),and 63.02%(+9.62%).With respect to recognizing tiny objects,TO–YOLOX exhibits a stronger ability compared with Faster R-CNN,RetinaNet,YOLOv5,YOLOv6,YOLOv7,and YOLOX,and the proposed model exhibits fast computation. | Zhe Chen Yuan Liang Zhengbo Yu Ke Xu Qingyun Ji Xueqi Zhang Quanping Zhang Zijia Cui Ziqiong He Ruichun Chang Zhongchang Sun Keyan Xiao Huadong Guo | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
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