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| 1 | Preparation and performance analysis of inorganic polymer floeeulant PZFSiC 显示文摘 | Can Li Meng Zhaoping Pan Jienan | 2004 | Journal of China University of Mining and Technology : English Edtion2004，14，2： | 1 |
| 2 | Polymorphism study of nine SNPs associated with subjective response to alcohol in Chinese Han, Hui, Tibetan, Mongolian and Uygur populations显示文摘Heavy alcohol drinking is a major public health problem,causing a large disease,social and economic burden in societies.Subjective response (SR) to alcohol is an intermediate characteristic of heavy drinking.A variety of candidate genes have been reported to be associated with SR to alcohol.In this study,we investigated nine single nucleotide polymorphisms (SNPs) related to SR to alcohol in healthy individuals from five Chinese ethnic groups,the Han,Hui,Tibetan,Mongolian and Uygur populations,and a total of 584 bloodstain samples were collected.The nine SNPs included four SNPs in alcohol-metabolizing genes (ADH1B,ADH1C,ALDH2 and CYP2E1*5B) and five SNPs in genes of neurobiological pathways (GABRA2,OPRM1,CHRNA3,HYKK and SLC6A4).A SNaPshot analysis method was developed to type these SNPs simultaneously,and all samples were typed successfully.Statistical analyses of the allele frequencies indicated that the frequencies of all SNPs,except for ADH1C,showed varying degrees of difference in the five studied ethnic groups.Tibetans showed the highest frequencies of risk alleles for heavy drinking at most loci.The genetic polymorphic differences found in this study revealed the variation in genetic susceptibility to heavy drinking in the studied populations. | Qingtao Wei Yi Ye Fan Chen Jienan Li Hao Wu Yingqiang Fu Youyi Yan Linchuan Liao | 2018 | Forensic Sciences Research2018，3，2： | 1 |
| 3 | An intelligent task offloading algorithm(iTOA)for UAV edge computing network显示文摘Unmanned Aerial Vehicle(UAV)has emerged as a promising technology for the support of human activities,such as target tracking,disaster rescue,and surveillance.However,these tasks require a large computation load of image or video processing,which imposes enormous pressure on the UAV computation platform.To solve this issue,in this work,we propose an intelligent Task Offloading Algorithm(iTOA)for UAV edge computing network.Compared with existing methods,iTOA is able to perceive the network’s environment intelligently to decide the offloading action based on deep Monte Calor Tree Search(MCTS),the core algorithm of Alpha Go.MCTS will simulate the offloading decision trajectories to acquire the best decision by maximizing the reward,such as lowest latency or power consumption.To accelerate the search convergence of MCTS,we also proposed a splitting Deep Neural Network(sDNN)to supply the prior probability for MCTS.The sDNN is trained by a self-supervised learning manager.Here,the training data set is obtained from iTOA itself as its own teacher.Compared with game theory and greedy search-based methods,the proposed iTOA improves service latency performance by 33%and 60%,respectively. | Jienan Chen Siyu Chen Siyu Luo Qi Wang Bin Cao Xiaoqian Li | 2020 | Digital Communications and Networks2020，6，4： | 1 |
| 4 | Comparing the accuracy of Demirjian and Nolla methods and establishing a new method for dental age estimation in northeastern Chinese children显示文摘Dental age estimation plays an important role in the field of clinic medicine and forensic medicine.The Demirjian and Nolla methods are common scoring methods for dental age estimation but there was no research about the comparison of accuracy of these two methods in northeastern Chinese children.Hence,in this study,we compared the accuracy of these two methods to explore more suitable method for our studied population.We collected 535 orthopantomograms from northern Chinese children aged from 6 to 15 years and divided them into training dataset and testing dataset according to the ratio of 7:3.The dental age of training dataset were estimated using Demirjian and Nolla methods,respectively.The results suggested that the mean differences of these two methods were 0.24 and−0.40 years,and mean absolute difference were 0.65 and 0.59 years.Then to further improve the accuracy of dental age assessment,the new improved formulas and dental age conversion tables were established after analyzing the relationship between the sum scores based on Nolla method and chronology age in training dataset.According to the new method used in testing dataset,the minimum value of mean difference(0.00)and mean absolute difference(0.49)were obtained,which are largely smaller than that of Demirjian and Nolla methods.The new developed method and dental age conversion scales may be more suitable dental age estimation method for northeastern Chinese children. | Dan Wen Zhiyu Ding Zhikai Tian Wenshuang Wu Weifeng Qu Wei He Chudong Wang Jienan Li Lagabaiyila Zha Ying Liu | 2022 | Forensic Sciences Research2022，7，4： | 0 |
| 5 | A deep learning driven hybrid beamforming method for millimeter wave MIMO system显示文摘The hybrid beamforming is a promising technology for the millimeter wave MIMO system,which provides high spectrum efficiency,high data rate transmission,and a good balance between transmission performance and hardware complexity.The most existing beamforming systems transmit multiple streams by formulating multiple orthogonal beams.However,the Neural network Hybrid Beamforming(NHB)adopts a totally different strategy,which combines multiple streams into one and transmits by employing a high-order non-orthogonal modulation strategy.Driven by the Deep Learning(DL)hybrid beamforming,in this work,we propose a DL-driven nonorthogonal hybrid beamforming for the single-user multiple streams scenario.We first analyze the beamforming strategy of NHB and prove it with better Bit Error Rate(BER)performance than the orthogonal hybrid beamforming even with the optimal power allocation.Inspired by the NHB,we propose a new DL-driven beamforming scheme to simulate the NHB behavior,which avoids time-consuming neural network training and achieves better BERs than traditional hybrid beamforming.Moreover,our simulation results demonstrate that the DL-driven nonorthogonal beamforming outperforms its traditional orthogonal beamforming counterpart in the presence of subconnected schemes and imperfect Channel State Information(CSI). | Jienan Chen Jiyun Tao Siyu Luo Shuai Li Chuan Zhang Wei Xiang | 2023 | Digital Communications and Networks2023，9，6： | 0 |
| 6 | Genomic prediction of yield performance among single-cross maize hybrids using a partial diallel cross design显示文摘Genomic prediction(GP)in plant breeding has the potential to predict and identify the best-performing hybrids based on the genotypes of their parental lines.In a GP experiment,34 elite inbred lines were selected to make 285 single-cross hybrids in a partial-diallel cross design.These lines represented a mini-core collection of Chinese maize germplasm and comprised 18 inbred lines from the Stiff Stalk heterotic group and 16 inbred lines from the Non-Stiff Stalk heterotic group.The parents were genotyped by sequencing and the 285 hybrids were phenotyped for nine yield and yield-related traits at two locations in the summer sowing area(SUS)and three locations in the spring sowing area(SPS)in the main maizeproducing regions of China.Multiple GP models were employed to assess the accuracy of trait prediction in the hybrids.By ten-fold cross-validation,the prediction accuracies of yield performance of the hybrids estimated by the genomic best linear unbiased prediction(GBLUP)model in SUS and SPS were 0.51 and 0.46,respectively.The prediction accuracies of the remaining yield-related traits estimated with GBLUP ranged from 0.49 to 0.86 and from 0.53 to 0.89 in SUS and SPS,respectively.When additive,dominance,epistasis effects,genotype-by-environment interaction,and multi-trait effects were incorporated into the prediction model,the prediction accuracy of hybrid yield performance was improved.The ratio of training to testing population and size of training population optimal for yield prediction were determined.Multiple prediction models can improve prediction accuracy in hybrid breeding. | Ping Luo Houwen Wang Zhiyong Ni Ruisi Yang Fei Wang Hongjun Yong Lin Zhang Zhiqiang Zhou Wei Song Mingshun Li Jie Yang Jianfeng Weng Zhaodong Meng Degui Zhang Jienan Han Yong Chen Runze Zhang Liwei Wang Meng Zhao Wenwei Gao Xiaoyu Chen Wenjie Li Zhuanfang Hao Junjie Fu Xuecai Zhang Xinhai Li | 2023 | The Crop Journal2023，11，6： | 0 |
| 7 | Orbital pacing and secular evolution of lake-level changes reconstructed by sedimentary noise modeling during the Early Jurassic icehouses-(super)greenhouses显示文摘Lake-level changes can significantly affect paleoenvironmental evolution,resource occurrence,terrestrial carbon budget,and biodiversity in continental basins.Climate is one of the most critical factors controlling lake-level changes.Paleoclimate of the Early Jurassic has been evidenced by oscillating icehouses to(super)greenhouses with interrupted intermittent extreme climatic events(hyperthermal and cooling),e.g.,the Toarcian oceanic anoxic event(~183 Ma)and the late Pliensbachian cooling event(~185 Ma).Lake-level evolution and hydrologic cycling on Earth’s surface during the Early Jurassic icehouses-to-(super)greenhouses are thus far poorly understood due to a lack of continuous high-resolution nonmarine evidence.Here we present a super-long nonmarine lake level record for this pivotal interval from the early Pliensbachian to Toarcian by sedimentary noise modeling,and construct a 16.7-Myr-long astronomical time scale(174.2 Ma to 190.9 Ma)based on cyclostratigraphy analysis of rock color datasets(CIE b*)of the Qaidam Basin.Our results document lake-level oscillations on a 5-to 10-million-year(Myr)scale which shows a pronounced correlation with long-term climate variation and extreme climatic events,and 1-to 2.5-Myr-scale lake-level changes that are prominently paced by the 2.4-Myr long-eccentricity forcing and the 1.2-Myr obliquity forcing.At the Pliensbachian Stage,the 1.2-Myr-scale lake-level changes are in phase with the coeval sealevel variations.Orbitally forced growth and decay of the ephemeral or permanent ice sheets in polar regions are interpreted to control the synchronous ups-and-downs of continental lake level and global sea level.However,during the Toarcian ice-free greenhouses to(super)greenhouses,the 1.2-Myr-scale lake-level variations show an anti-phase relationship with global sea level,indicating a‘seesaw’interaction between continental reservoirs(lakes and groundwater)and global oceans.The 2.4-Myr longeccentricity cycles mainly regulate variations of lake level and sea level by controlling the growth and decay of small-scale continental ice sheets,which is especially notable during the Pliensbachian Stage.These findings indicate a remarkable transition of hydrological cycling pattern during the Pliensbachian-Toarcian icehouses to(super)greenhouses,which provides new perspectives and evidence for investigating the hypothesis of global sea-level changes(e.g.,glacio-eustasy and aquifer-eustasy)and long-period astronomical forcing in nonmarine stratigraphy. | Meng LI Xin LI Stephen P.HESSELBO Mingjie LI Wenjin LIU Wei WU Jienan PAN Ruizhen GAO | 2024 | Science China Earth Sciences2024，67，1： | 0 |
| 8 | ACLY-induced reprogramming of glycolytic metabolism plays an important role in the progression of breast cancer显示文摘Breast cancer(BC)is the most common malignancy in females and has gradually become an important problem threatening global public health.BC,as a heterogeneous disease,has a great difference in prognosis.Local invasion and distant metastasis are the most important factors affecting the prognosis and treatment outcome of tumors[1].Currently,in the context of advocating precision medicine,one of the ways to address this problem is to identify genes that play specific roles in the occurrence,development and metastasis of BC[2]and to clarify the mechanism of action,thus providing a new idea for the precise treatment of BC. | Yu Lu Liping Tian Chengcheng Peng Jienan Kong Pengpeng Xiao Nan Li | 2023 | Acta Biochimica et Biophysica Sinica2023，55，5： | 0 |
| 9 | A differentially methylated region of the ZmCCT10 promoter affects flowering time in hybrid maize显示文摘Flowering time(FT) is a key maize domestication trait, variation in which allows maize to grow in a wide range of latitudes. Although previous studies have investigated the genetic control of FT-related traits per se, few studies of FT hybrid performance have been published. We characterized the genomic architecture associated with hybrid performance for FT in a hybrid panel by testcrossing Chang 7–2 with 328Ye478 × Qi319 recombinant inbred lines(RILs). We identified 11 quantitative trait loci(QTL) for hybrid performance in FT-related traits, including a major QTL qFH10 that controls hybrid performance and heterosis in a summer maize-growing region. However, this locus acts in regulating FT traits per se only in a spring maize-growing region. We validated ZmCCT10 as a candidate gene for qFH10 and found that differences between hybrids and their parental lines in DNA methylation in the differentially methylated region(DMR, –700 to –1520) of the ZmCCT10 promoter affected gene expression pattern and thereby FT in the summer maize-growing region. | Zhiqiang Zhou Xin Lu Chaoshu Zhang Mingshun Li Zhuanfang Hao Degui Zhang Hongjun Yong Jienan Han Xinhai Li Jianfeng Weng | 2023 | The Crop Journal2023，11，5： | 0 |
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