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| 1 | Identification of three novel noncoding RNAs from Drosophila melanogaster显示文摘三新奇小非编码的 RNA 从 D 的保存 intronicregions 被识别。由使用比较基因组学方法和分子的生物学途径的 melanogaster。Oneis 以一个 combinated 方法的新奇 snoRNA,它 snoRNAfamily 显示典型地代表 C/D 盒子的结构的特征并且为在 C2673 指导 D.melanogaster 28S rRNA 的 2''-O-methylation 拥有一个 10-nt-long rRNA 反感觉元素。另外的二是预言先锋采用已知的 miRNA 的 astem 环结构特征的 miRNAs。二 miRNAs 基因看起来有无所不在的表示侧面, ~ 23-nt RNA 抄本由北弄污检测了。我们的学习 revealed396 多种类 intronic 保存了与长度 from100 在 introns 嵌套到 500 bp 的序列(MCIS ) 。除了编码的小 RNA, MCIS 可能作为涉及基因抄写或 post-transcriptional 处理的 c/s-acting 元素工作。 | HE Hualiang ZHOU Hui XIAO Zhendong ZENG Xianfen CHEN Junyu ZHENG Tao QU Lianghu | 2006 | Chinese Science Bulletin2006，51，22： | 2 |
| 2 | Ground-level ozone in the Pearl River Delta region: Analysis of data from a recently established regional air quality monitoring network显示文摘 | Junyu Zheng Liuju Zhong Tao Wang Peter K.K. Louie Zhicheng Li | 2009 | Atmospheric Environment2009，，6： | 2 |
| 3 | Charge vibration behaviour in polyimide under the pulse voltage with different rise and fall times显示文摘High‐voltage electronic equipment is widely used in power systems,which normally operate under the pulse voltage condition.However,compared to DC or AC stress,the electrical insulation suffers a more severe ageing process under a pulse voltage with steep edges and so may cause electrical equipments to fail early.The charge behaviour in polyimide under the pulse voltage with different edge times was investigated in this study.The experimental results show that charges vibrate at the pulse edge,while the amplitude of charge vibration increases with decreasing edge times.Furthermore,the detected vibration signal is strong within the nanosecond edge times,while being negligible in the microsecond range.Notably,the amplitude of charge vibration at the falling edge is larger than that at the rising edge in the presence of the column‐plate electrode.It is believed that the resultant force acting on the charge increases drasti-cally at the pulse edges,leading to the charge movement and the generation of ultra-sonic waves,with the resultant force becoming larger when the edge times decrease.Charge vibration behaviour is harmful to the microstructure of insulation materials,and so it may be concluded that the rise and fall times of the pulse voltage play an important role in insulation failure. | Tao Zhang Dongxin He Junyu Wei Hongshun Liu Qingquan Li Gilbert Teyssedre | 2022 | High Voltage2022，7，1： | 2 |
| 4 | Dating for Jifanggou metamorphic complex in central Jilin and its tectonic implications显示文摘Based on the results of four regional geological surveys of 1: 50000 including Shulan County map in Jilin,taking Shulan area as the study area,the authors re-delineated the rock type assemblages,e.g. metamorphic rhyolite,metamorphic tuffaceous breccia lava,sericite-quartz schist and tremolite altered rock,etc.,and the structural contacts between them. With the help of in-situ LA-ICP-MS U-Pb dating for zircons,it is concluded that the zircon crystallization ages of the metamorphic rhyolite,the metamorphic andesitic tuff breccia lava and the tremolite altered rock are 339. 1 ± 1. 3 Ma( n = 27,MSWD = 0. 78),351. 8 ± 1. 7 Ma( n = 21,MSWD = 0.82),and 362.0±1.8 Ma( n = 43,MSWD = 2.2) respectively. The metamorphic complex is actually a set of tectonic melange which comprises the rocks in different types,sources,times,or tectonic settings,and was formed by tectonism. | WANG Zhongcheng LU Xiaoping ZHAO Juan TAO Junyu CHEN Mingjian | 2017 | Global Geology2017，20，4： | 1 |
| 5 | Distal axis sulfide mineralization on the ultraslow-spreading Southwest Indian Ridge:an LA-ICP-MS study of pyrite from the East Longjing-2 hydrothermal field显示文摘The newly discovered East Longjing-2 hydrothermal field(ELHF-2)is located on the Dragon Horn oceanic core complex of the ultraslow-spreading Southwest Indian Ridge,approximately 12 km from the ridge axis.This study measured the chemical compositions of pyrite from ELHF-2 using a laser ablation inductively coupled plasma mass spectrometry(LA-ICP-MS)to investigate the genesis of the field.Three generations of pyrite were classified,and found that:Py1 and Py2,rich in V,Mn,U,and Se,occur in altered basalt debris and the silica alteration matrix,respectively.Py3 was mainly intergrown with chalcopyrite in quartz veins and had higher Cu,In,Ag,Sb,and Au contents than Py1 and Py2.Some elements,such as Au,Se,and Pb,are likely presented as direct substitution with Fe^(2+)in pyrite,while Cu,Zn,Co,Ni,and Ag probably occur both as direct substitution with Fe and as distributed micro-to nanoparticle-sized sulfides.Meanwhile,the occurrence of V,Mn,and U is likely presented as oxide inclusions.Trace element geochemistry suggested that the pyrite was formed under hightemperature conditions,and the ore forming elements were likely derived from ultramafic rocks.In addition,Py1and Py2 were formed under higher water/rock ratio and higher temperature conditions,with more seawater involvement compared with Py3.The formation of ELHF-2 was probably driven by exothermic serpentinization reactions with an additional magmatic heat.This study shows that high-temperature hydrothermal circulation driven by magmatic activity can be developed on distal rift flank areas of magma-starved ultraslow-spreading ridges. | Shili Liao Chuanwei Zhu Jianping Zhou Weiyong Liu Junyu Yu Jin Liang Weifang Yang Wei Li Jia Liu Chunhui Tao | 2021 | Acta Oceanologica Sinica2021，40，5： | 1 |
| 6 | Emerging roles of circular RNAs in cancer:a narrative review显示文摘Circular RNAs (circRNAs) constitute a novel class of endogenous noncoding RNAs characterized by a covalently closed structure and involved in multiple biological processes. The main biological functions and properties of circRNAs can be defined by five features: a 'sponging' effect on other RNA species, post-transcriptional regulation, rolling circle translation, generation of pseudogenes, and splicing interference. Although circRNAs were first detected decades ago, the role of circRNAs and the mechanisms underlying their actions remain incompletely characterized. Recently, circRNAs were reported to play indispensable roles in regulating metabolic and signal transduction events controlling the proliferation, migration, and survival of cells. Importantly, many studies demonstrated that dysregulated circRNA expression is associated with the development of multiple diseases, including cancer. In this review, we summarize current knowledge on the roles and mechanisms of circRNAs in cancer and discuss their functions as oncogenes or tumor suppressors in different tumor types. | Shixiang Guo Junfeng Zhang Junyu Tao Jinfeng Zhu Ruixin Zheng Huaizhi Wang | 2022 | Journal of Pancreatology2022，5，1： | 0 |
| 7 | Green OLED based on double metallic mirrors in microcavity structures and double light-emitting structure显示文摘 | Tao An Junyu Wu Peng Li Sheng Yang Zhiming Ding | 2017 | 光电工程2017，44，3： | 0 |
| 8 | Functional characterization of novel NPRL3 mutations identified in three families with focal epilepsy显示文摘Focal epilepsy accounts for 60% of all forms of epilepsy, but the pathogenic mechanism is not well understood. In this study,three novel mutations in NPRL3(nitrogen permease regulator-like 3), c.937_945del, c.1514dup C and 6,706-bp genomic DNA(g DNA) deletion, were identified in three families with focal epilepsy by linkage analysis, whole exome sequencing(WES) and Sanger sequencing. NPRL3 protein is a component of the GATOR1 complex, a major inhibitor of m TOR signaling. These mutations led to truncation of the NPRL3 protein and hampered the binding between NPRL3 and DEPDC5, which is another component of the GATOR1 complex. Consequently, the mutant proteins enhanced m TOR signaling in cultured cells, possibly due to impaired inhibition of m TORC1 by GATOR1. Knockdown of nprl3 in Drosophila resulted in epilepsy-like behavior and abnormal synaptic development. Taken together, these findings expand the genotypic spectrum of NPRL3-associated focal epilepsy and provide further insight into how NPRL3 mutations lead to epilepsy. | Shiyue Du Sheng Zeng Li Song Hongying Ma Rui Chen Junyu Luo Xu Wang Tingbin Ma Xuan Xu Hao Sun Ping Yi Jifeng Guo Yaling Huang Mugen Liu Tao Wang Wei-Ping Liao Luoying Zhang Jing Yu Liu Beisha Tang | 2023 | Science China(Life Sciences)2023，66，9： | 0 |
| 9 | State-of-the-art applications of machine learning in the life cycle of solid waste management显示文摘Due to the superiority of machine learning(ML)data processing,it is widely used in research of solid waste(SW).This study analyzed the research and developmental progress of the applications of ML in the life cycle of SW.Statistical analyses were undertaken on the literature published between 1985 and 2021 in the Science Citation Index Expanded and Social Sciences Citation Index to provide an overview of the progress.Based on the articles considered,a rapid upward trend from 1985 to 2021 was found and international cooperatives were found to have strengthened.The three topics of ML,namely,SW categories,ML algorithms,and specific applications,as applied to the life cycle of SW were discussed.ML has been applied during the entire SW process,thereby affecting its life cycle.ML was used to predict the generation and characteristics of SW,optimize its collection and transportation,and model the processing of its energy utilization.Finally,the current challenges of applying ML to SW and future perspectives were discussed.The goal is to achieve high economic and environmental benefits and carbon reduction during the life cycle of SW.ML plays an important role in the modernization and intellectualization of SW management.It is hoped that this work would be helpful to provide a constructive overview towards the state-of-the-art development of SW disposal. | Rui Liang Chao Chen Akash Kumar Junyu Tao Yan Kang Dong Han Xianjia Jiang Pei Tang Beibei Yan Guanyi Chen | 2023 | Frontiers of Environmental Science & Engineering2023，17，4： | 0 |
| 10 | Responses of microbial interactions to elevated salinity in activated sludge microbial community显示文摘Biological treatment processes are critical for sewage purification,wherein microbial interactions are tightly associated with treatment performance.Previous studies have focused on assessing how environmental factors(such as salinity)affect the diversity and composition of the microbial community but ignore the connections among microorganisms.Here,we described the microbial interactions in response to elevated salinity in an activated sludge system by performing an association network analysis.It was found that higher salinity resulted in low microbial diversity,and small,complex,more competitive overall networks,leading to poor performance of the treatment process.Subnetworks of major phyla(Proteobacteria,Bacteroidetes,and Chloroflexi)and functional bacteria(such as AOB,NOB and denitrifiers)differed substantially under elevated salinity process.Compared with subnetworks of Nitrosomonadaceae,Nitrosomonas(AOB)made a greater contribution to nitrification under higher salinity(especially 3%)in the activated sludge system.Denitrifiers established more proportion of cooperative relationships with other bacteria to resist 3%salinity stress.Furthermore,identified keystone species playing crucial roles in maintaining process stability were dynamics and less abundant under salinity disturbance.Knowledge gleaned from this study deepened our understanding of microbial interaction in response to elevated salinity in activated sludge systems. | Tao Ya Zhimin Wang Junyu Liu Minglu Zhang Lili Zhang Xiaojing Liu Yuan Li Xiaohui Wang | 2023 | Frontiers of Environmental Science & Engineering2023，17，5： | 0 |
| 11 | Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificial neural networks显示文摘Pyrolysis is considered an attractive option and a promising way to dispose waste plastics.The thermogravimetric experiments of high-density polyethylene(HDPE)were conducted from 105℃ to 900℃ at different heating rates(10℃/min,20℃/min,and 30℃/min)to investigate their thermal pyrolysis behavior.We investigated four methods including three model-free methods and one modelfitting method to estimate dynamic parameters.Additionally,an artificial neural network model was developed by providing the heating rates and temperatures to predict the weight loss(wt.%)of HDPE,and optimized via assessing mean squared error and determination coefficient on the test set.The optimal MSE(2.6297×10^(−2))and R^(2) value(R^(2)>0.999)were obtained.Activation energy and preexponential factor obtained from four different models achieves the acceptable value between experimental and predicted results.The relative error of the model increased from 2.4%to 6.8%when the sampling frequency changed from 50 s to 60 s,but showed no significant difference when the sampling frequency was below 50 s.This result provides a promising approach to simplify the further modelling work and to reduce the required data storage space.This study revealed the possibility of simulating the HDPE pyrolysis process via machine learning with no significant accuracy loss of the kinetic parameters.It is hoped that this work could potentially benefit to the development of pyrolysis process modelling of HDPE and the other plastics. | Xiaoxiao Yin Junyu Tao Guanyi Chen Xilei Yao Pengpeng Luan Zhanjun Cheng Ning Li Zhongyue Zhou Beibei Yan | 2023 | Frontiers of Environmental Science & Engineering2023，17，1： | 0 |
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