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| 1 | A new dynamic pushback control method for reducing fuel-burn costs: Using predicted taxi-out time显示文摘Long departure-taxi-out time leads to significant airport surface congestion, fuel-burn costs, and excessive emissions of greenhouse gases. To reduce these undesirable effects, a Predicted taxi-out time-based Dynamic Pushback Control(PDPC) method is proposed. The implementation of this method requires two steps: first, the taxi-out times for aircraft are predicted by the leastsquares support-vector regression approach of which the parameters are optimized by an introduced improved Firefly algorithm. Then, a dynamic pushback control model equipped with a linear gate-hold penalty function is built, along with a proposed iterative taxiway queue-threshold optimization algorithm for solving the model. A case study with data obtained from Beijing International airport(PEK) is presented. The taxi-out time prediction model achieves predictive accuracy within 3 min and 5 min by 84.71% and 95.66%, respectively. The results of the proposed pushback method show that total operation cost and fuel-burn cost achieve a 14.0% and 21.1%reduction, respectively, as compared to the traditional K-control policy.(3) From the perspective of implementation, using PDPC policy can significantly reduce the queue length in taxiway and taxi-out time. The total operation cost and fuel-burn cost can be curtailed by 37.2% and 52.1%,respectively, as compared to the non-enforcement of any pushback control mechanism. These results show that the proposed pushback control model can reduce fuel-burn costs and airport surface congestion effectively. | Guan LIAN Yaping ZHANG Zhiwei XING Qian LUO Shaowu CHENG | 2019 | Chinese Journal of Aeronautics2019，32，3： | 10 |
| 2 | A multi-aircraft conflict detection and resolution method for 4-dimensional trajectory-based operation显示文摘Conflict Detection and Resolution(CD&R) is the key to ensure aviation safety based on Trajectory Prediction(TP). Uncertainties that affect aircraft motions cause difficulty in an accurate prediction of the trajectory, especially in the context of four-dimensional(4D) Trajectory-Based Operation(4DTBO), which brings the uncertainty of pilot intent. This study draws on the idea of time geography, and turns the research focus of CD&R from TP to an analysis of the aircraft reachable space constrained by 4D waypoint constraints. The concepts of space–time reachability of aircraft and space–time potential conflict space are proposed. A novel pre-CD&R scheme for multiple aircraft is established. A key advantage of the scheme is that the uncertainty of pilot intent is accounted for via a Space-Time Prism(STP) for aircraft. Conflict detection is performed by verifying whether the STPs of aircraft intersect or not, and conflict resolution is performed by planning a conflict-free space–time trajectory avoiding intersection. Numerical examples are presented to validate the efficiency of the proposed scheme. | Siqi HAO Shaowu CHENG Yaping ZHANG | 2018 | Chinese Journal of Aeronautics2018，31，7： | 8 |
| 3 | Numerical study on dynamic mechanism of brain volume and shear deformation under blast loading显示文摘Blast-induced traumatic brain injury(b-TBI)is a kind of significant injury to soldiers in the current military conflicts.However,the mechanism of b-TBI has not been well understood,and even there are some contradictory conclusions.It is crucial to reveal the dynamic mechanism of brain volume and shear deformations under blast loading for better understanding of b-TBI.In this paper,the numerical simulation method is adopted to carry out comprehensive and in-depth researches on this issue for the first time.Based on the coupled Eulerian-Lagrangian method,the fluid-structure coupling model of the blast wave and human head is developed to simulate two situations,namely the head subjected to the frontal and lateral impacts.The simulation results are analyzed to obtain the underlying dynamic mechanisms of brain deformation.The brain volume deformation is dominated by the local bending vibration of the skull,and the corresponding frequency for the forehead skull under the frontal impact and the lateral skull faced to the lateral impact is as high as 8 kHz and 5 kHz,respectively.This leads to the high-frequency fluctuation of brain pressure and the large pressure gradient along the skull,totally different from the dynamic response of brain under head collisions.While the brain shear deformation mainly depends on the relative tangential displacement between the skull and brain and the anatomical structure of inner skull,being not related to the brain pressure and its gradient.By further comparing the medical statistics,it is inferred that diffuse axonal injury and brain contusion,the two most common types of b-TBI,are mainly attributed to brain shear deformations.And the von Mises stress can be adopted as the indicator for these two brain injuries.This study can provide theoretical guidance for the diagnosis of b-TBI and the development of protective equipment. | Zhijie Li Zhibo Du Xiaochuan You Zhanli Liu Jian Cheng Chengcheng Luo Dongyang Chu Shaowu Ning Yue Kang Ce Yang Zhuo Zhuang | 2019 | Acta Mechanica Sinica2019，35，5： | 3 |
| 4 | On the green density, sintering behavior and electrical property of tape cast electrolyte films显示文摘 | CHENG Jigui ZHA Shaowu FANG Xiaohong | 2002 | Mater Res Bull2002，37，： | 1 |
| 5 | An enhanced weight-based topological map matching algorithm for intricate urban road network显示文摘 | Yang Haiqiang Cheng Shaowu Jiang Huifang | 2013 | Proce- dia-Social and Behavioral Sciences2013，96，： | 1 |
| 6 | Abnormalcortical thickness in relapsing-remitting multiple sclerosis,correlations with cognition impairment,and effect of modified Bushenyisui decoction(补肾益髓汤)on cognitive function of multiple sclerosis显示文摘OBJECTIVE:To investigate the changes of subcortical gray matter volume and cortical thickness,andexplorethe correlations between regional abnormalities of cortical thickness and cognitive impairment and the effect of modified Bushenyisui decoction(补肾益髓汤,BSYSD)on the cognitive function of multiple sclerosis(MS).METHODS:This prospective study was approved by the institutional review board.92 subjects were recruited,including 46 relapsing-remitting multiple sclerosis(RRMS)patients and 46 healthy controls(HC).Of the 46 patients,22 patients experienced the treatment of BSYSD for half a year.A conventional three-dimensional T1-weighted sequence were acquired for all participants on a 3.0 tesla magnetic resonance system.Basic information,detailed cognitive scales Montreal Cognitive Assessment(MoCA),symbol digit modalities test(SDMT),immediate memory,delayed recall,and long-term recognition were evaluated.Subcortical gray matter volume and cortical thickness weremeasured by FreeSurfer.The correlations between cortical thickness which MS patients showed reduced with respect to HC and cognitive scales wereanalyzed by Pearson correlation in RRMS patients.The influence of modified BSYSD on MS patients'cognition was analyzed by paired T Test.RESULTS:MoCA,immediate memory,delayed recall,and long-term delayed recognition in RRMS were significantly decreased than those of HC.Gray matter atrophy measured by FreeSurfer showed mainly in thalamus and hippocampus of RRMS patients.Compared with HC,the cortical thickness of several regions in frontal lobe,parietal lobe,temporal lobe,hippocampal,cingulate gyrus,and fusiform gyrus of RRMS patients were decreased with significant difference.The regions of cortical thickness thinning related to MoCA,immediate memory,delayed recall,and long-term delayed recognition were temporal lobe and fusiform gyrus.Modified BSYSD could improve MoCA,SDMT,immediate memory,delayed recall,and long-term delayed recognition of MS patients,and it could promote the recovery of cognitive function in MS patients.CONCLUSIONS:Gray matter atrophy and cortical thickness thinning were validated in RRMS.Cortical thickness thinning of temporal lobe and fusiform gyrus strongly related to cognitive deficits in RRMS.The modified BSYSD could promote the recovery of cognitive function in MS. | ZHAO Xuesong YANG Tao CHENG Fang YANG Song ZHU Wanlin LI Shaowu FAN Yongping | 2021 | Journal of Traditional Chinese Medicine2021，41，2： | 1 |
| 7 | Properties and Hydration Mechanism of Cementitious Materials Prepared from Calcined Coal Gangue显示文摘The preparation of cementitious materials by replacing part of the cement with activated coal gangue is of great significance to the cement industry in terms of carbon reduction and coal-based solid waste utilization.For this paper,cementitious material was prepared by firing activated coal gangue under suspension conditions and batching it with limestone powder using Inner Mongolia coal gangue as raw material.The optimal ratio was determined by testing the strength changes of the cementitious material at 3,7,and 28 days of hydration,and the hydration process and mechanism were explored by combining the pore structure,heat of hydration,chemical composition,phase composition,and microscopic morphological characteristics of the hydration products.The results showed that the active materials formulated from activated gangue and limestone powder can be used to prepare cementitious materials with good performance at the level of 30%–50%replacement of cement.The optimal ratio was 30%replacement of cement,and the mass ratio of calcined gangue to limestone powder was 2:1.The 3 days compressive strength of this ratio was 28.8 MPa,which was only slightly lower than that of cement.However,the 28 days compressive strength of samples reached 67.5 MPa,which was much higher than that of the reference cement.In the hydration of this cementitious material,not only does the activated coal gangue react with the Ca(OH)_(2)formed by hydration to form C–S–H gel,but CaCO3 also participates in the reaction to form a new phase of carbon aluminate,and the two effects together promote the development of the later strength of the samples.This paper can provide a reference for carbon reduction in the cement production process and comprehensive utilization of coal gangue. | Zhaopeng Wang Shaowu Jiu Hui Li Kaifeng Zhang Simeng Cheng | 2023 | Journal of Renewable Materials2023，11，3： | 1 |
| 8 | Correction to: Numerical study on dynamic mechanism of brain volume and shear deformation under blast loading显示文摘In the original publication few errors have been identified in Fig.10a,b.The correct version of Fig.10a,b are provided in this correction.The original article has been corrected[1]. | Zhijie Li Zhibo Du Xiaochuan You Zhanli Liu Jian Cheng Chengcheng Luo Dongyang Chu Shaowu Ning Yue Kang Ce Yang Zhuo Zhuang | 2020 | Acta Mechanica Sinica2020，36，4： | 0 |
| 9 | Prediction of Eukaryotic Protein Subcellular Location Using a Novel Feature Extraction Method and Support Vector Machine显示文摘The rapidly increasing number of sequences entering into the genome databank has created the need for fully automated methods to analyze them.Knowing the cellular location of a protein is a key step towards understanding its function.The development in statistical prediction of protein attributes generally consists of two cores: one is to construct a training dataset and the other is to formulate a predictive algorithm.The latter can be further separated into two subcores: one is how to give a mathematical expression to effectively represent a protein and the other is how to find a powerful algorithm to accurately perform the prediction.To predict the subcellular location of eukaryotic protein,a systematic prediction approach comprised of a novel feature extraction method,an idea of combining this feature extraction method with support vector machine(SVM) algorithm,and ’one-versus-rest’ & ’all-versus-all’ strategies have been proposed in this paper.Consequently,the total predictive accuracies reach 95.5% for four locations.Compared with existing methods,this new approach provides better predictive performance.For example,it is 13.5%,5.1% higher than Yuan’s and Hua’s methods respectively.These results demonstrate the applicability of this new method and concept and possible improvement of prediction for the protein subcellular location.It is anticipated that the current approach may also have a series of impacts on the prediction of other protein features. | Zhang Shaowu Pan Quan Wu Yonghong Cheng Yongmei | 2005 | 西北工业大学学报2005，23，6： | 0 |
| 10 | Visual Detection of COVID‑19 from Materials Aspect显示文摘In the recent COVID-19 pandemic,World Health Organization emphasized that early detection is an effective strategy to reduce the spread of SARS-CoV-2 viruses.Several diagnostic methods,such as reverse transcription-polymerase chain reaction(RT-PCR)and lateral flow immunoassay(LFIA),have been applied based on the mechanism of specific recognition and binding of the probes to viruses or viral antigens.Although the remarkable progress,these methods still suffer from inadequate cellular materials or errors in the detection and sampling procedure of nasopharyngeal/oropharyngeal swab collection.Therefore,developing accurate,ultrafast,and visualized detection calls for more advanced materials and technology urgently to fight against the epidemic.In this review,we first summarize the current methodologies for SARS-CoV-2 diagnosis.Then,recent representative examples are introduced based on various output signals(e.g.,colorimetric,fluorometric,electronic,acoustic).Finally,we discuss the limitations of the methods and provide our perspectives on priorities for future test development. | Gang Wang Le Wang Zheyi Meng Xiaolong Su Chao Jia Xiaolan Qiao Shaowu Pan Yinjun Chen Yanhua Cheng Meifang Zhu | 2022 | Advanced Fiber Materials2022，4，6： | 0 |
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