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| 1 | Temporal responses of soil microorganisms to substrate addition as indicated by amino sugar differentiation显示文摘 | Hongbo He Wei Zhang Xudong Zhang Hongtu Xie Jie Zhuang | 2011 | Soil Biology and Biochemistry2011，，6： | 1 |
| 2 | Interactive effects of elevated CO2 and nitrogen fertilization levels on photosynthesized carbon allocation in a temperate spring wheat and soil system显示文摘Increasing atmospheric CO2 concentration impacts the terrestrial carbon(C) cycle by affecting plant photosynthesis, the flow of photosynthetically fixed C belowground, and soil C pool turnover. For managed agroecosystems, how and to what extent the interactions between elevated CO2 and N fertilization levels influence the accumulation of photosynthesized C in crops and the incorporation of photosynthesized C into arable soil are in urgent need of exploration.We conducted an experiment simulating elevated CO2 with spring wheat(Triticum aestivum L.) planted in growth chambers.13C-enriched CO2 with an identical 13C abundance was continuously supplied at ambient and elevated CO2 concentrations(350 and 600 μmol mol-1, respectively) until wheat harvest.Three levels of N fertilizer application(equivalent to 80, 120, and 180 kg N ha-1 soil) were supplied for wheat growth at both CO2 concentrations. During the continuous 62-d 13CO2 labeling period, elevated CO2 and increased N fertilizer application increased photosynthesized C accumulation in wheat by 14%–24% and 11%–20%, respectively, as indicated by increased biomass production, whereas the C/N ratio in the roots increased under elevated CO2 but declined with increasing N fertilizer application levels. Wheat root deposition induced 1%–2.5% renewal of soil C after 62 d of 13CO2 labeling. Compared to ambient CO2, elevated CO2 increased the amount of photosynthesized C incorporated into soil by 20%–44%. However, higher application rates of N fertilizer reduced the net input of root-derived C in soil by approximately 8% under elevated CO2. For the wheat-soil system, elevated CO2 and increased N fertilizer application levels synergistically increased the amount of photosynthesized C. The pivotal role of plants in photosynthesized C accumulation under elevated CO2 was thereby enhanced in the short term by the increased N application. Therefore, robust N management could mediate C cycling and sequestration by influencing the interactions between plants and soil in agroecosystems under elevated CO2. | Yu ZHAO Chao LIANG Shuai SHAO Jie LI Hongtu XIE Wei ZHANG Fusheng CHEN Hongbo HEI Xudong ZHANG | 2021 | Pedosphere2021，31，1： | 1 |
| 3 | Dynamics of fertilizer-derived organic nitrogen fractions in an arable soil during a growing season显示文摘 | Huijie Lü Hongbo He Jinsong Zhao Wei Zhang Hongtu Xie Guoqing Hu Xiao Liu Yeye Wu Xudong Zhang | 2013 | 2013 (1-2)2013，，1： | 1 |
| 4 | 乳腺癌前哨淋巴结微小转移的检测(英文)显示文摘Objective: To study the best examination method of micrometastases in sentinel lymph node (SLN) of breast cancer and study the related factors with micrometastases. Methods: By step serial sectioning technique and immunohisto- chemistry, 121 SLNs and 44 tumors of 59 cases were examined. Results: Micrometastases was found in 17 SLNs (14%) of 14 (24%) cases. The more sections or examination methods, the more micrometastases were found. Micrometastases was related with the tumor size and the expression of c-erbB2, MMP-2 and VEGF. Conclusion: The best examination method is making sections at two levels with 100 μm interval and combination of HE staining and muc1 immunohistochemistry. We can get the excellent detection/cost by this method. Micrometastases is a bad prognostic factor. | Tao Zhang Baoning Zhang Baoping Chen Xiliang Wei Hongtu Zhang Yuntian Sun | 2007 | The Chinese-German Journal of Clinical Oncology2007，6，6： | 1 |
| 5 | Formation and characterization of fully dilutable microemulsion with fatty acid methyl esters as oil phase显示文摘 | Wang Wanxu Wei Hongtu Du Zhiping | 2015 | ACS Sust Chem Eng2015，3，3： | 1 |
| 6 | Dynamics of fertilizer-derived organic nitrogen fractions in an arable soil during a growing season显示文摘 | Huijie Lü Hongbo He Jinsong Zhao Wei Zhang Hongtu Xie Guoqing Hu Xiao Liu Yeye Wu Xudong Zhang | 2013 | Plant and Soil (-)2013，，1： | 1 |
| 7 | Genetic algorithm-optimized backpropagation neural network establishes a diagnostic prediction model for diabetic nephropathy:Combined machine learning and experimental validation in mice显示文摘Background:Diabetic nephropathy(DN)is the most common complication of type 2 diabetes mellitus and the main cause of end-stage renal disease worldwide.Diagnostic biomarkers may allow early diagnosis and treatment of DN to reduce the prevalence and delay the development of DN.Kidney biopsy is the gold standard for diagnosing DN;however,its invasive character is its primary limitation.The machine learning approach provides a non-invasive and specific criterion for diagnosing DN,although traditional machine learning algorithms need to be improved to enhance diagnostic performance.Methods:We applied high-throughput RNA sequencing to obtain the genes related to DN tubular tissues and normal tubular tissues of mice.Then machine learning algorithms,random forest,LASSO logistic regression,and principal component analysis were used to identify key genes(CES1G,CYP4A14,NDUFA4,ABCC4,ACE).Then,the genetic algorithm-optimized backpropagation neural network(GA-BPNN)was used to improve the DN diagnostic model.Results:The AUC value of the GA-BPNN model in the training dataset was 0.83,and the AUC value of the model in the validation dataset was 0.81,while the AUC values of the SVM model in the training dataset and external validation dataset were 0.756 and 0.650,respectively.Thus,this GA-BPNN gave better values than the traditional SVM model.This diagnosis model may aim for personalized diagnosis and treatment of patients with DN.Immunohistochemical staining further confirmed that the tissue and cell expression of NADH dehydrogenase(ubiquinone)1 alpha subcomplex,4-like 2(NDUFA4L2)in tubular tissue in DN mice were decreased.Conclusion:The GA-BPNN model has better accuracy than the traditional SVM model and may provide an effective tool for diagnosing DN. | WEI LIANG ZONGWEI ZHANG KEJU YANG HONGTU HU QIANG LUO ANKANG YANG LI CHANG YUANYUAN ZENG | 2023 | BIOCELL2023，47，6： | 0 |
| 8 | Stable all-solid-state Li-Te battery with Li_(3)TbBr_(6) superionic conductor显示文摘Rare-earth(RE)halide solid electrolytes(HSEs)have been an emerging research area due to their good electrochemical and mechanical properties for all-solid-state lithium batteries(ASSBs).However,only very limited types of HSEs have been reported with high performance.In this work,tens of grams of RE-HSE Li_(3)TbBr_(6)(LTbB)was synthesized by a vacuum evaporationassisted method.The as-prepared LTbB displays a high ionic conductivity of 1.7 mS·cm^(-1),a wide electrochemical window,and good formability.Accordingly,the assembled solid lithium-tellurium(Li-Te)battery based on the LTbB HSE exhibits excellent cycling stability up to 600 cycles,which is superior to most previous reports.The processes and the chemicals during the discharge/charge of Li-Te batteries have been studied by various in situ and ex situ characterizations.Theoretical calculations have demonstrated the dominant conductivity contributions of the direct[octahedral]-[octahedral]([Oct]-[Oct])pathway for Li ion migrations in the electrolyte.The Tb sites guarantee efficient electron transfer while the Li 2s orbitals are not affected during migration,leading to a low activation barrier.Therefore,this successful fabrication and application of LTbB have offered a highly competitive solution for solid electrolytes in ASSBs,indicating the great potential of RE-based HSEs in energy devices. | Zhichao Zeng Xiaomeng Shi Mingzi Sun Hongtu Zhang Wei Luo Yunhui Huang Bolong Huang Yaping Du Chun-Hua Yan | 2023 | Nano Research2023，16，7： | 0 |
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