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| 1 | Comparison of different microsurgery methods for trigeminal neuralgia显示文摘Objective: To study the influence of different microsurgical methods on surgical outcomes and complications, and to improve the surgical outcomes for trigeminal neuralgia. Methods: The clinical data of 109 patients with trigeminal neuralgia, who were treated with microsurgery, were analyzed retrospectively. All patients were divided into 3 groups according to surgical modality: the trigeminal neuralgia decompression group(TND group, 19 patients), the TND and rhizotomy group(rhizotomy group,55 patients), and the TND and selective lesioning group(lesioning group, 35 patients).The mid-term and short-term effects of microsurgery, and the occurrences of complications, were compared between the 3 groups. Results: There were no statistical differences in the frequency of complications between the 3 groups(P > 0.05). Eighty-four patients were followed up for 6 to 33 months. The rate of pain disappearance was found to be 94.4% in the TND group, and 100% in both the rhizotomy and lesioning groups; thus, no significant differences were found between these 3 groups(P > 0.05). Additionally, 50% of the patients in the rhizotomy group and 3.6% of the patients in the lesioning group had facial numbness while no patients were affected with facial numbness in the TND group, and the differences between these 3 groups were significant(P < 0.05). Conclusions: Microsurgery is effective and safe for trigeminal neuralgia. The use of TND, in combination with selective lesioning, ensures therapeutic efficacy and improves the quality of life in postoperative patients. | Zihang Xie Lin Chen Yan Wang Zhiqiang Cui Shijie Wang Qiang Ao Yuqi Zhang Huancong Zuo | 2016 | Translational Neuroscience and Clinics2016，2，3： | 2 |
| 2 | Analysis of the characteristics of heat and mass transfer of a three-effect tubular solar still and experimental research显示文摘 | Zhili Chen Yang Yao Zihang Zheng | 2013 | Desalination2013，43，5： | 1 |
| 3 | Analysis of the characteristics of heat and mass transfer of a three- effect tubular solar still and experimental research 显示文摘 | Chen Zhili Yao Yang Zheng Zihang | 2013 | Desalination2013，330，12： | 1 |
| 4 | Impact of Initial Soil Conditions on Soil Hydrothermal and Surface Energy Fluxes in the Permafrost Region of the Tibetan Plateau显示文摘Accurate initial soil conditions play a crucial role in simulating soil hydrothermal and surface energy fluxes in land surface process modeling.This study emphasized the influence of the initial soil temperature(ST)and soil moisture(SM)conditions on a land surface energy and water simulation in the permafrost region in the Tibetan Plateau(TP)using the Community Land Model version 5.0(CLM5.0).The results indicate that the default initial schemes for ST and SM in CLM5.0 were simplistic,and inaccurately represented the soil characteristics of permafrost in the TP which led to underestimating ST during the freezing period while overestimating ST and underestimating SLW during the thawing period at the XDT site.Applying the long-term spin-up method to obtain initial soil conditions has only led to limited improvement in simulating soil hydrothermal and surface energy fluxes.The modified initial soil schemes proposed in this study comprehensively incorporate the characteristics of permafrost,which coexists with soil liquid water(SLW),and soil ice(SI)when the ST is below freezing temperature,effectively enhancing the accuracy of the simulated soil hydrothermal and surface energy fluxes.Consequently,the modified initial soil schemes greatly improved upon the results achieved through the long-term spin-up method.Three modified initial soil schemes experiments resulted in a 64%,88%,and 77%reduction in the average mean bias error(MBE)of ST,and a 13%,21%,and 19%reduction in the average root-mean-square error(RMSE)of SLW compared to the default simulation results.Also,the average MBE of net radiation was reduced by 7%,22%,and 21%. | Siqiong LUO Zihang CHEN Jingyuan WANG Tonghua WU Yao XIAO Yongping QIAO | 2024 | Advances in Atmospheric Sciences2024，41，4： | 0 |
| 5 | Natural variation of GmFATA1B regulates seed oil content and composition in soybean显示文摘Soybean(Glycine max) produces seeds that are rich in unsaturated fatty acids and is an important oilseed crop worldwide. Seed oil content and composition largely determine the economic value of soybean. Due to natural genetic variation, seed oil content varies substantially across soybean cultivars. Although much progress has been made in elucidating the genetic trajectory underlying fatty acid metabolism and oil biosynthesis in plants, the causal genes for many quantitative trait loci(QTLs) regulating seed oil content in soybean remain to be revealed. In this study, we identified Gm FATA1B as the gene underlying a QTL that regulates seed oil content and composition, as well as seed size in soybean. Nine extra amino acids in the conserved region of Gm FATA1B impair its function as a fatty acyl–acyl carrier protein thioesterase, thereby affecting seed oil content and composition. Heterogeneously overexpressing the functional Gm FATA1B allele in Arabidopsis thaliana increased both the total oil content and the oleic acid and linoleic acid contents of seeds. Our findings uncover a previously unknown locus underlying variation in seed oil content in soybean and lay the foundation for improving seed oil content and composition in soybean. | Zhandong Cai Peiqi Xian Yanbo Cheng Yuan Yang Yakun Zhang Zihang He Chuwen Xiong Zhibin Guo Zhicheng Chen Huiqian Jiang Qibin Ma Hai Nian Liangfa Ge | 2023 | Journal of Integrative Plant Biology2023，65，10： | 0 |
| 6 | Propagation analysis and prediction of the COVID-19显示文摘Based on the official data modeling,this paper studies the transmission process of the Corona Virus Disease 2019(COVID-19).The error between the model and the official data curve is quite small.At the same time,it realized forward prediction and backward inference of the epidemic situation,and the relevant analysis help relevant countries to make decisions. | Lixiang Li Zihang Yang Zhongkai Dang Cui Meng Jingze Huang Haotian Meng Deyu Wang Guanhua Chen Jiaxuan Zhang Haipeng Peng Yiming Shao | 2020 | Infectious Disease Modelling2020，5，1： | 0 |
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