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| 1 | The reliability of travel time forecasting 显示文摘 | Menglong Yang Yiguang Lin Zhisheng You | 2010 | IEEE Transactions on Intelli- gent Transportation Systems2010，11，1： | 1 |
| 2 | Dynamic Analysis of Internet Word-of-Mouth on Resort Hotels显示文摘 | Hsienta Lin Jhihchun Jian C Chiu Menglong Shih | 2011 | Journal of International Management Studies2011，6，2： | 1 |
| 3 | A coevolutionary framework of business-IT alignment via the lens of enterprise architecture显示文摘Due to the turbulent external business environment, the complexity of internal relations of the organization and the emergence of subversive IT roles, the business-IT alignment(BITA)has become increasingly difficult. The unsuccessful realization of BITA will lead to the waste of organizational resources, the reduction of return on investment and eventually the loss of competitive advantage. In recent years, coevolution has received widespread attention due to its ability to describe the dynamic relationship between IT and business. Multiple principles such as quickening learning action loops and adopt suitable organizing principles for achieving business and IT coevolution(BITC) are obtained. However, the continuous BITC is still hard to be achieved because of the lack of complete BITC management. This paper focuses on the management process of the BITC and how to perform it gradually. A coevolution framework combines the enterprise architecture(EA) approach with the coevolution analysis is proposed, which contains the design of EA, the sensing and governance of the misalignment and the procedure of the EA misalignment prevention.The steps for the governance and prevention of misalignment are discussed in particular. Through comparison with the principles,characteristics and methods of coevolution in the literature, the proposed framework is evaluated. The results show that the proposed framework is effective for BITC implementation. | LIN Menglong YI Shuanghui ZHANG Mengmeng CHEN Tao CHEN Honghui ZHANG Xiaoxue | 2020 | Journal of Systems Engineering and Electronics2020，31，5： | 1 |
| 4 | Fast Fourier Transform-based Support Vector Machine for Subcellular Localization Prediction Using Different Substitution Models显示文摘有约 10 ~ 在生物信息学的热点是怎么识别蛋白质的潜水艇的在 cell.A 的 9 蛋白质细胞的本地化,如果它的顺序被知道。在这篇论文,基于变换的支持向量机器被开发预言潜水艇的用 fastFourier 的一个方法从他们的物理化学的性质和结构的参数的蛋白质的细胞的本地化。预言精确性在原核生物的有机体到达了 83% 并且 84% c-p-v 矩阵在有替换的真核细胞的有机体当模特儿(c,作文; p,极性;并且 v,分子的体积) 。全面预言精确性也用“ leave-one-out ”被评估预言精确性上的替换模型的大折刀 procedure.The 影响也在新程序的 work.The 源代码被讨论了在从作者的请求以后是可得到的。 | Zhimeng WANG Lin JIANG Menglong LI Lina SUN Rongying LIN | 2007 | Acta Biochimica et Biophysica Sinica2007，39，9： | 0 |
| 5 | Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China显示文摘Taking two typical grain producing areas of southern(Dongting Lake Region)and northern China(Shandong Province)as examples,this study used fault tree analysis and parametric estimation to provide a comparative analysis for environmental risks of intensive arable land use.The results show that(1)in the risks of eutrophication,toxicity,soil structure,greenhouse effect and air pollution,the greenhouse effect was the most prominent with the highest discharge;(2)the Dongting Lake Region discharged less pollutants annually than did Shandong Province,while surpassing Shandong in cumulative pollutant discharge in 2007-2018;(3)the spatial distribution of environmental risk in the Dongting Lake Region was mostly concentrated in the northern area,whereas that in Shandong Province displayed a scattered pattern;(4)in the Dongting Lake Region,Yueyang,Changde,and Yiyang were high environmental risk cities in 2007-2018,whereas in Shandong Province,Zaozhuang,Heze,Liaocheng,and Dezhou exhibited higher comprehensive environmental risk indexes in 2007-2008,while Rizhao replaced them in 2018.The results indicated that ago-production material use must be controlled,reasonable zoning for areas posing environmental risks must be employed and cities with high environmental risk must be dynamically monitored to prevent the intensification of environmental risks of arable land use. | Guanyi Yin Zhulu Lin Xilong Jiang Jin Sun Menglong Qiu | 2020 | Ecosystem Health and Sustainability2020，6，1： | 0 |
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