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| 1 | Effects of tourmaline on nitrogen removal performance and biofilm structures in the sequencing batch biofilm reactor显示文摘The effects of tourmaline on nitrogen removal performance and biofilm structures were comparatively investigated in two identical laboratory-scale sequencing batch biofilm reactors(SBBRs)(denoted SBBR1 and SBBR2) at different nitrogen loading rates(NLRs) varying from(0.24 ± 0.01) to(1.26 ± 0.02) g N/(L·day). SBBR1 was operated in parallel with SBBR2, but SBBR1 was filled with polyurethane foam loaded tourmaline(TPU) carriers and another(SBBR2) filled with polyurethane foam(PU) carriers. Results obtained from this study showed that the excellent and stable performance of SBBR1 was obtained. Ammonia nitrogen removal and total nitrogen removal were higher in SBBR1 than that in SBBR2 with increase of NLR. At an NLR of(0.24 ± 0.01) g N/(L·day), the majority of the spherical and elliptical bacteria were surrounded by the extracellular polymeric substance(EPS) and bacillus or filamentous bacteria in two SBBRs biofilms. When NLR increased to(1.26 ± 0.02) g N/(L·day), the clusters were more obvious in the SBBR1 biofilm than that in the SBBR2 biofilm. Bacteria in SBBR1 were inclined to synthesis more EPS, and the formed EPS could protect the bacteria from free ammonia(FA) under extreme condition NLR(1.26 ± 0.02) g N/(L·day). The results of polymerase chain reaction-denaturing gradient gel electrophoresis analysis showed that the microbial community similarity in SBBR2 decreased more obviously than that in SBBR1 with the increase of NLR, which the microbial community in SBBR1 was relatively stable. | Chong Tan Haoran Xu Di Cui Jinlong Zuo Junsheng Li Yubin Ji Shan Qiu Lin Yao Ying Chen Yingjie Liu | 2018 | Journal of Environmental Sciences2018，30，5： | 10 |
| 2 | 显示文摘 | Yu Shujuan Zheng Yubin Yan Li Shang Hongzhou Liang Jue Cui Guanfeng | 2007 | Journal of Chemical Engineering of Chinese Universities2007，21，5： | 1 |
| 3 | DeepNitro: Prediction of Protein Nitration and Nitrosylation Sites by Deep Learning显示文摘Protein nitration and nitrosylation are essential post-translational modifications(PTMs)involved in many fundamental cellular processes. Recent studies have revealed that excessive levels of nitration and nitrosylation in some critical proteins are linked to numerous chronic diseases.Therefore, the identification of substrates that undergo such modifications in a site-specific manner is an important research topic in the community and will provide candidates for targeted therapy. In this study, we aimed to develop a computational tool for predicting nitration and nitrosylation sites in proteins. We first constructed four types of encoding features, including positional amino acid distributions, sequence contextual dependencies, physicochemical properties, and position-specificscoring features, to represent the modified residues. Based on these encoding features, we established a predictor called DeepNitro using deep learning methods for predicting protein nitration and nitrosylation. Using n-fold cross-validation, our evaluation shows great AUC values for DeepNitro, 0.65 for tyrosine nitration, 0.80 for tryptophan nitration, and 0.70 for cysteine nitrosylation, respectively,demonstrating the robustness and reliability of our tool. Also, when tested in the independent dataset, DeepNitro is substantially superior to other similar tools with a 7%à42% improvement in the prediction performance. Taken together, the application of deep learning method and novel encoding schemes, especially the position-specific scoring feature, greatly improves the accuracy of nitration and nitrosylation site prediction and may facilitate the prediction of other PTM sites. DeepNitro is implemented in JAVA and PHP and is freely available for academic research at http://gffzz99614c6466484d9dhcpkop50f9x9u6p99.ffgz.tsg.suse.edu.cn. | Yubin Xie Xiaotong Luo Yupeng Li Li Chen Wenbin Ma Junjiu Huang Jun Cui Yong Zhao Yu Xue Zhixiang Zuo Jian Ren | 2018 | Genomics, Proteomics & Bioinformatics2018，16，4： | 1 |
| 4 | Design and field test of a special Chinese herbal medicine harvester显示文摘A special Chinese herbal medicine(SCHM)harvester was designed to address the problems such as the highly labor-intensive process,low harvesting efficiency,and lack of suitable machinery.The designed machine was comprised of three main components,including a reciprocating cutter,a clamping chain,and a counter roller.In addition,a mechanical model of a plant stalk during harvester operation is established to analyze the parameters affecting SCHM harvesting:sprocket rotation speed,counter roller gap,and header inclination angle.Considering the operating mode of the harvester,all three parameters were taken as test factors,and the proportion of lost fruit,the proportion of broken capsules,and the length of the retained stem are the test indicators.According to the test results,the fruit lost was 1.14%,the broken fruit was 1.02%,the stalks with an acceptable length was 82.45%at a sprocket rotation speed of 110 r/min,a roller gap of 9 mm,and a header inclination angle of 5°.The research can provide an effective solution to solve the SCHM harvest problem.Further studies need to do for making this machine more automated and intelligent. | Zhi’an Zheng Baocong Cui Weikai Gao Yubin Wei Min Wu Aichao Li | 2022 | International Journal of Agricultural and Biological Engineering2022，15，5： | 0 |
| 5 | GEE-Based monitoring method of key management nodes in cotton production显示文摘The high-temporal-resolution monitoring of key management nodes in cotton management via agricultural remote sensing is vital forfield cotton macro-statistics,particularly for predicting cotton production and obtaining comprehensive data.This study examines Shihezi,Xinjiang as a case study,utilizing Sentinel-1 and Sentinel-2 data from 2019 to 2021.Three machine learning models(RF,SVM,and CART)were employed to extract annual crop classification area rasters,monitor weekly cultivation progress,and monitor abandoned cropland during the cultivation period.The results demonstrate that the random forest model has produced satisfactory results in gridded extraction for cotton classification areas,achieving the producer’s accuracy of the cotton category reached 98.5%,and the kappa coefficient is 0.947.Cotton cultivated in 2021 began is a week later than in 2020,yet exhibited a faster cultivate speed.The proportion of abandoned cottonfields in the study area rose in 2020 compared to 2019.The methodology presented in this study has a certain reference value for exploring the monitoring of continuous changes in crops over the years and macro-monitoring of important activities in the entire growth cycle. | Weiguang Yang Weicheng Xu Kangtin Yan Zongyin Cui Pengchao Chen Lei Zhang Yubin Lan | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
| 6 | Petrogenesis and Tectonic Implications of the Early Triassic Nianzi Adakitic Granite Unit in the Yanshan Fold and Thrust Belt:New Constraints from U-Pb Geochronology and Sr-Nd-Hf Isotopes显示文摘The Nianzi granite unit,which includes the Nianzi,Xiaolianghou and Xiawopu granitic intrusions,is a significant component of the northern part of the North China Craton(NCC)and is situated in the Yanshan fold and thrust belt(YFTB).However,there is still debate regarding the tectonic evolutionary history of the YFTB during the late Permian to Triassic period,specifically regarding the timing of subduction and collision between the NCC and the Paleo-Asian Ocean.The Nianzi granite unit exhibits unique petrological,geochronological and geochemical signatures that shed light on the tectonic evolutionary history of the YFTB.This study presents detailed petrology,whole-rock geochemistry,together with Sr-Nd isotopic,zircon U-Pb dating and Lu-Hf isotopic data of the granites within the Nianzi granite unit.Our findings demonstrate that the granites primarily consist of subhedral K-feldspar,plagioclase,quartz,minor biotite and hornblende,with accessory titanite,apatite,magnetite and zircon.Zircon U-Pb dating indicates that the Xiaolianghou granite was emplaced at 247.5±0.62 Ma.Additionally,the adakitic characteristics of the Nianzi,Xiawopu and Xiaolianghou granitic intrusions,such as high Sr and Ba contents and high ratios of Sr/Y and(La/Yb)N,combined with negative Sr-Nd and Lu-Hf isotopes(87Sr/86Sr)i=0.705681–0.7057433,εNd(t)=−21.98 to−20.97,zirconεHf(t)=−20.26 to−9.92,as well as the I-type granite features of high SiO_(2),Na_(2)O and K_(2)O/Na_(2)O ratios,enriched Rb,K,Sr and Ba,along with depleted Th,U,Nb,Ta,P and Ti,suggest that the Nianzi granitic unit was mainly derived from the partial melting of a thickened lower crust containing hydrous,calc-alkaline to high-K calc-alkaline,mafic to intermediate metamorphic rocks.In light of these parameters,we further integrate our data with previous studies and conclude that the Nianzi granitic unit was generated in a post-collisional extensional environment during the Early Triassic. | ZHANG Huijun WU Chu HE Fubing WANG Biren CUI Yubin LIU Zhenghua YOU Shina DONG Jing | 2024 | Acta Geologica Sinica(English Edition)2024，98，1： | 0 |
| 7 | Genetic approach for Cell-by-Cell dynamic spectrum allocation in the heterogeneous scenario显示文摘In this paper,a genetic algorithm (GA) is investigated to deal with cell-by-cell dynamic spectrumallocation (DSA) in the heterogeneous scenario with temporal and spatial traffic demand changes,whichis also known as a difficult combinatorial optimization problem.A new two-dimensional chromosome encodingscheme is defined according to characteristics of the heterogeneous scenario,which prevents forminginvalid solutions during the genetic operation and enables much faster convergence.A novel randomcoloring gene generation function is presented which is the basic operation for initialization and mutationin the genetic algorithm.Simulative comparison demonstrates that the proposed GA-based cell-by-cellDSA outperforms the conventional contiguous DSA scheme both in terms of spectral efficiency gain andquality of service (QoS) satisfaction. | 丁哲 Xu Yubin Shang Haiying Cui Yang | 2010 | High Technology Letters2010，16，4： | 0 |
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