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Inferring Sequential Order of Somatic Mutations during Tumorgenesis based on Markov Chain Model
Hao Kang,Kwang-Hyun Cho,Zhang, Xiaohua Douglas,Tao Zeng,Luonan Chen IEEE 2015 IEEE/ACM transactions on computational biology and Vol.12 No.5
<P>Tumors are developed and worsen with the accumulated mutations on DNA sequences during tumorigenesis. Identifying the temporal order of gene mutations in cancer initiation and development is a challenging topic. It not only provides a new insight into the study of tumorigenesis at the level of genome sequences but also is an effective tool for early diagnosis of tumors and preventive medicine. In this paper, we develop a novel method to accurately estimate the sequential order of gene mutations during tumorigenesis from genome sequencing data based on Markov chain model as TOMC (Temporal Order based on Markov Chain), and also provide a new criterion to further infer the order of samples or patients, which can characterize the severity or stage of the disease. We applied our method to the analysis of tumors based on several high-throughput datasets. Specifically, first, we revealed that tumor suppressor genes (TSG) tend to be mutated ahead of oncogenes, which are considered as important events for key functional loss and gain during tumorigenesis. Second, the comparisons of various methods demonstrated that our approach has clear advantages over the existing methods due to the consideration on the effect of mutation dependence among genes, such as co-mutation. Third and most important, our method is able to deduce the ordinal sequence of patients or samples to quantitatively characterize their severity of tumors. Therefore, our work provides a new way to quantitatively understand the development and progression of tumorigenesis based on high throughput sequencing data.</P>
Adaptive Robust Control of 5 DOF Upper-limb Exoskeleton Robot
Hao-Bo Kang,Jian-Hui Wang 제어·로봇·시스템학회 2015 International Journal of Control, Automation, and Vol.13 No.3
This paper deals with the problem of robust output feedback control for a class of 5DOF upper-limb exoskeleton robot. It is able to assist with shoulder, elbow and wrist joint movements. Robustness is assured for the proposed controller in the presence of model uncertainties. Ultimate boundedness is proved for the presented adaptive observer-based controller. The other advantage of the proposed method is that the implemented information for feedback is only the measurement of position. The estimation of velocity and acceleration is provided by an adaptive observer without additional sensors. By utilizing a novel adaptive logic-based switching control scheme, a trajectory tracking performance is well achieved with a tunable error bound. The simulation example also verifies the effectiveness of the proposed control scheme.
Failure Modes of Large-scale Landslides Induced by 2009 Typhoon Morakot in Southern Taiwan
( Keng-hao Kang ),( Hao-hsun Lin ),( Yii-wen Pan ),( Jyh-jong Liao ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
After the catastrophic landslide at the Shiaolin village during the 2009 Typhoon Morakot, many large-scale landslide areas were delineated using LiDAR DEM. Among those, 356 large-scale landslides caused by the Typhoon Morakot are in southern Taiwan. In addition to the delineation task, the assessment of landslide activity is also essential for risk management. This study aims to classify the failure modes of large scale landslides in order to provide information for further assessment. For remote sensing interpretation, this study adopted google satellite images, multi-period aerial photos, 5x5m/1x1m DEM, and geologic maps. Arc GIS was used to calculate the geomorphic index of the landslides before and after 2009 Typhoon Morakot. We used a variety of parameters including drainage system, shape of bare areas, and characteristics of topography to identify the failure modes of landslides. As a result, this study classify the large-scale landslides induced by the Typhoon Morakot into six categories: colluvium slide, dip slope slide, weathered bedrock slide, rock avalanche, shallow debris slide, and complex type. Among those cases, ten sites are possibly related with gravitational slope deformation.
CONVERGENCE THEOREMS OF THREE-STEP ITERATION METHODS FOR QUASI-CONTRACTIVE MAPPINGS
Hao, Jinbiao,Wang, Li,Kang, Shin-Min,Shim, Soo-Hak The Youngnam Mathematical Society Korea 2002 East Asian mathematical journal Vol.18 No.2
We obtain the convergence of three-step iteration methods and generalized three-step iteration methods for quasi-contractive and generalized quasi-contractive mappings, respectively, in Banach spaces. Our results extend the corresponding results in [1], [4]-[6].
Hao, Yan,Kang, Shin-Min The Youngnam Mathematical Society Korea 2008 East Asian mathematical journal Vol.24 No.2
In this paper, we introduce and study a new class of system of parametric general quasivariational-like inequalities. Using $\eta$-subdifferential and $\eta$-proximal mappings of proper functionals in Hilbert spaces, we prove the equivalence between the system of parametric general quasivariational-like inequalities and a xed point problem and construct two iterative algorithms. A few existence and uniqueness results as well as the sensitivity analysis of solutions are also established for the system of parametric general quasivariational-like inequalities, and some convergence results of iterative sequence generated by the algorithms are proved. Our results extend a few known results in the literature.
Hao Han,Jingming Hou,Zongxue Xu,Haixiao Jing,Jiahui Gong,Depeng Zuo,Bingyao Li,Shaoxiong Yang,Yongde Kang,Run Wang 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.3
Frequent urban rainstorm inundations can cause serious damages to human life and social economy. Reliable simulation of urban rainstorm inundation is an effective approach for performing flood risk analysis to reduce losses. In this work, a full 2D high-performance hydrodynamic model for urban rainstorm inundation simulation based on Graphic Processing Unit (GPU) was developed. The idealized V-shape catchment and sponge city district of Fengxi New City were selected as the study areas to assess performance of the model. The model was validated against analytical benchmark results of the idealized V-catchment test which show good agreement between the modelled flow and analytical solutions. The model was then applied to simulate actual urban rainstorm inundation process under measured rainfall. The results indicated that the model can be applied to high-resolution urban region simulations. Specifically, the validation results indicated that the proposed model had a good performance, with an accepted error of less than 15%. When applied to compute the Fengxi New city under design rainstorms with different annual return periods of 1, 5, 10, 20, 50, and 100 years, it was found that the model effectively evaluated the temporal and spatial variation process of urban inundation, and quantitatively investigated flood risks according to the water depth change. The model has been substantially accelerated on GPU to quickly predict urbaninundation. The accuracy and rapid simulation speed of the model were verified based on the actual study area. Therefore, the proposed model can help to predict the dynamic processes of urban flood inundation and thus reduce flood inundation disasters. This is essential for future optimal sponge urban construction planning in China.