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| 1 | A theoretical investigation onthe structures, densities, detonation properties andpyrolysis mechanism of the nitroderivatives of toluenes 显示文摘 | Wang Guixiang Gong Xuedong Liu Yan Du Hongchen Xu Xiaojuan Xiao Heming | 2010 | Journal of Hazardous Materials2010，177，123： | 1 |
| 2 | Thermodynamic equilibrium diagram of the chlorine-titanium system显示文摘The chemical and electrochemical equilibria of the chlorine-titanium system in the presence of gaseous phase were investigated. Many species, which consisted of chlorine and titanium, were considered. Various thermodynamic equi- libria were calculated in the different pressures at different temperatures. The calculated results were shown as log p-1/T and E-T diagrams. These diagrams may be used as important tools for corrosion study and titanium production. The diagrams are also used to thermodynamically determine the existence areas of various species and so on. | DU Ailing GUO Xiaofei ZHANG Heming LIU Jiang | 2005 | Rare Metals2005，24，4： | 0 |
| 3 | A novel conceptual design of a biomimetic oral implant and its biomechanical effect on the repairment of a large mandibular defect显示文摘This study aimed to propose a novel biomimetic design strategy of an oral implant and to numerically examine its biomechanical effect according to clinical interests.The designed implant conceptually mimicked the morphology and elastic modulus of the mandibular bone.Basing on a CT-image-based patient-specific reconstruction of the tumor-excised mandible,the biomechanical effects of the implants with three materials(PEEK/n-HA/CF,PEEK/HA and Ti6Al4V),two surgical conditions(removed and retained muscles),and two postoperative stages(early and late)were fully investigated by a static finite element analysis.Moreover,according to clinical interests(e.g.failure and stability of the implant and rivets),maximum von Mises stresses and strains of the implant and rivets,maximum implant-bone gap in the early postoperative stage,and maximum von Mises stress of the mandible were mainly analyzed.The results showed that the implant composed of Ti6Al4V material was suitable for the current design strategy with respect to the other two PEEK-based materials.Although the implants in the muscle-retained surgical condition had relative greater indices compared to the muscle-removed surgical condition,the index difference between the two conditions was slight.The biomechanical indices indicating the failure and loosening risks of implant and rivets were much reduced in the late postoperative stage with respect to the early postoperative stage due to the osteointegration at the implant-bone interface.Generally,the proposed novel design strategy could be useful to guide the design of the oral implant addressing different implant materials and surgical conditions,and further made proper suggestion to clinicians and patients. | Yongheng Li Yuanbin Hu Heming Chen Xiangfeng Meng Du Chen Hongcheng Gu Qiang Chen Zhongde Mu Zhiyong Li | 2022 | Medicine in Novel Technology and Devices2022，，3： | 0 |
| 4 | THERMODYNAMIC PROPERTIES OF Fe-V-Ce LIQUID SOLUTION显示文摘Thermodynamic properties of the Fe-V-Ce liquid solutions have been studied in the tempera-ture range of 1550-1650℃. The temperature dependences of the equilibrium constants of re-action Ce2O2S = 2[Ce]+2[O]+[S] and the standard free energy of formation of Ce2O2S havebeen obtained. The temperature dependences of the interaction coefficients evCe and eCev havealso been determined. | CHANG Heming DU Ting YU Jingsheng, Central Iron and Steel Research Institute, Ministry of Metallurgical Industry, Beijing, China | 1989 | Acta Metallurgica Sinica(English Letters)1989，2，11： | 0 |
| 5 | Probabilistic time series forecasting with deep non-linear state space models显示文摘Probabilistic time series forecasting aims at estimating future probabilistic distributions based on given time series observations.It is a widespread challenge in various tasks,such as risk management and decision making.To investigate temporal patterns in time series data and predict subsequent probabilities,the state space model(SSM)provides a general framework.Variants of SSM achieve considerable success in many fields,such as engineering and statistics.However,since underlying processes in real-world scenarios are usually unknown and complicated,actual time series observations are always irregular and noisy.Therefore,it is very difficult to determinate an SSM for classical statistical approaches.In this paper,a general time series forecasting framework,called Deep Nonlinear State Space Model(DNLSSM),is proposed to predict the probabilistic distribution based on estimated underlying unknown processes from historical time series data.We fuse deep neural networks and statistical methods to iteratively estimate states and network parameters and thus exploit intricate temporal patterns of time series data.In particular,the unscented Kalman filter(UKF)is adopted to calculate marginal likelihoods and update distributions recursively for non-linear functions.After that,a non-linear Joseph form covariance update is developed to ensure that calculated covariance matrices in UKF updates are symmetric and positive definitive.Therefore,the authors enhance the tolerance of UKF to round-off errors and manage to combine UKF and deep neural networks.In this manner,the DNLSSM effectively models non-linear correlations between observed time series data and underlying dynamic processes.Experiments in both synthetic and real-world datasets demonstrate that the DNLSSM consistently improves the accuracy of probability forecasts compared to the baseline methods. | Heming Du Shouguo Du Wen Li | 2023 | CAAI Transactions on Intelligence Technology2023，8，1： | 0 |
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