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| 1 | Effects of deficit irrigation with saline water on spring wheat growth and yield in arid Northwest China显示文摘Field experiments were conducted in 2008 and 2009 to study the effects of deficit irrigation with saline water on spring wheat growth and yield in an arid region of Northwest China. Nine treatments included three salinity levels s1, s2 and s3 (0.65, 3.2, and 6.1 dS/m) in combination with three water levels w1, w2 and w3 (375, 300, and 225 mm). In 2008, for most treatments, deficit irrigation showed adverse effects on wheat growth; meanwhile, the effect of saline irrigation was not apparent. In 2009, growth parameters of w1 treatments were not always optimal under saline irrigation. At 3.2 and 6.1 dS/m in 2008, the highest yield was obtained by w1 treatments, however, in 2009, the weight of 1,000 grains and wheat yield both followed the order w2 > w1 > w3. In this study, spring wheat was sensitive to water deficit, especially at the booting to grain-filling stages, but was not significantly affected by saline irrigation and the combination of the two factors. The results demonstrated that 300-mm irrigation water with a salinity of less than 3.2 dS/m is suitable for wheat fields in the study area. | Jing JIANG ZaiLin HUO ShaoYuan FENG ShaoZhong KANG FenXing WANG ChaoBo ZHANG | 2013 | Journal of Arid Land2013，5，2： | 11 |
| 2 | Determination of thermal focal length and pumping radius in gain medium in laser-diode-pumped Nd : YVO4 laser 显示文摘 | Feng Song Chaobo Zhang Xin Ding et al | 2002 | Applied Physics Letters2002，81，12： | 1 |
| 3 | Determination of thermal focal length and pumping radius in gain medium in laser- diode- pumped Nd:YV04 lasers显示文摘 | Zhang chaobo Ding xin | 2002 | Appl Phys Lett2002，81，12： | 1 |
| 4 | Determination of Thermal Focal Length and Pumping Radius in Gain Medium in Laser - Diodied - Pumped Nd:YVO4 Lasers显示文摘 | Song Feng Zhang Chaobo Ding Xin | 2002 | Applied Physics Letters2002，81，12： | 1 |
| 5 | Determination of thermal focal length and pumping radius in gain medium in laserdiodied-pumped Nd:YVO4 laser显示文摘 | Song Feng Zhang Chaobo Ding Xin | 2002 | Applied Physics Letter2002，81，12： | 1 |
| 6 | Glycerol solutions of highly concentrated biomineral counter-ions towards water-responsive mineralization: Demonstration on bacterial cellulose and its application in hard tissue repair显示文摘Mineralization has found widespread use in the fabrication of composite biomaterials for hard tissue regeneration.The current mineralization processes are mainly carried out in neutral aqueous solutions of biomineral counter-ions(a pair of cation and anion that form the corresponding minerals at certain conditions),which are stable only at very low concentrations.This typically results in inefficient mineralization and weak control over biomineral formation.Here,we find that,in the organic solvent glycerol,a variety of biomineral counter-ions(e.g.,Ca/PO_(4),Ca/CO_(3),Ca/SO_(4),Mg/PO_(4),or Fe/OH)corresponding to distinct biominerals at significantly high concentrations(up to hundreds-fold greater than those of simulated body fluid(SBF))are able to form translucent and stable solutions(mineralizing solution of highly concentrated counter-ions(MSCIs)),and mineralization can be triggered upon them with external solvents(e.g.,water or ethanol).Furthermore,with pristine bacterial cellulose(BC)membrane as a model,we demonstrate an effective and controllable mineralization performance of MSCIs on organic substrates.This approach not only forms the homogeneous biominerals on the BC fibers and in the interspaces,but also provides regulations over mineralization rate,mineral content,phase,and dopants.The resulting mineralized BC membranes(MBCs)exhibit high cytocompatibility and favor the proliferation of rat bone marrow mesenchymal stem cells(rBMSC).Following this,we prepare a mineralized bone suture(MBS)from MBC for non-weight bearing bone fixation,which then is tested on a rabbit median sternotomy model.It shows firm fixation of the rabbit sternum without causing discernible toxicity or inflammatory response.This study,by extending the mineralization to the organic solution system of highly concentrated counter-ions,develops a promising strategy to design and build targeted mineral-based composites. | Yunfei Zhao Xiaohao Liu Zhi Zhou Chaobo Feng Nan Luo Jiajun Yan Shuo Tan Yang Lu Feng Chen Bing-Qiang Lu Shisheng He | 2024 | Nano Research2024，17，3： | 0 |
| 7 | Clustering compression-based computation-efficient calibration method for digital twin modeling of HVAC system显示文摘Digital twin is regarded as the next-generation technology for the effective operation of heating,ventilation and air conditioning(HVAC)systems.It is essential to calibrate the digital twin models to match them closely with real physical systems.Conventional real-time calibration methods cannot satisfy such requirements since the computation loads are beyond acceptable tolerances.To address this challenge,this study proposes a clustering compression-based method to enhance the computation efficiency of digital twin model calibration for HVAC systems.This method utilizes clustering algorithms to remove redundant data for achieving data compression.Moreover,a hierarchical multi-stage heuristic model calibration strategy is developed to accelerate the calibration of similar component models.Its basic idea is that once a component model is calibrated by heuristic methods,its optimal solution is utilized to narrow the ranges of parameter probability distributions of similar components.By doing so,the calibration process can be guided,so that fewer iterations would be used.The performance of the proposed method is evaluated using the operational data from an HVAC system in an industrial building.Results show that the proposed clustering compression-based method can reduce computation loads by 97%,compared to the conventional calibration method.And the proposed hierarchical heuristic model calibration strategy is capable of accelerating the calibration process after clustering and saves 14.6%of the time costs. | Jie Lu Xiangning Tian Chenxin Feng Chaobo Zhang Yang Zhao Yiwen Zhang Zihao Wang | 2023 | Building Simulation2023，16，6： | 0 |
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