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Tian‐Hao Tu,Ji-Rui WANG,Jian-Qiang GU,Tian-Qi LI,Kun LV,Guo-Xin ZHOU,Zhi-Hong XU 한국곤충학회 2019 Entomological Research Vol.49 No.2
Due to habitat fragmentation, the loss of species diversity has been extensively studied. On the contrary, the effects of habitat fragmentation on functional diversity is still poorly understood. In the Thousand Island Lake, we conducted studies of insect functional diversity on a set of 29 isolated islands. We used 10 functional diversity indices from three aspects (functional richness, functional evenness and functional divergence) to respectively describe functional diversity of insects on sample islands. We found the following results: (i) The functional indices selected could reflect the functional diversity of sample islands and it is further proved that in general, three components of functional diversity were independent of each other; (ii) Sample islands could be divided into two categories, island JSD and the remaining islands; (iii) Functional richness increased with island area and shape index, but had no significant correlation with isolation. Likewise, both functional evenness and functional divergence had no significant correlation with island attributes. The conclusion to emphasize from our research is that: (i) habitat fragmentation reduced the biological functional diversity to some extent, further demonstrating the importance of habitat continuity in biodiversity protection; and (ii) for functional diversity protection of insects in a fragmented landscape, an island which has high approximate shape index values of at least hundred hectare magnitude order has a critical promoting effect.
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Hao Tian,Fangyuan Li 사단법인 한국계산역학회 2016 Computers and Concrete, An International Journal Vol.17 No.4
In this paper, a probabilistic- and finite element-based approach to evaluate and predict the lifetime performance of reinforced concrete (RC) bridges undergoing various maintenance actions is proposed with the time-variant system reliability being utilized as a performance indicator. Depending on their structural state during the degradation process, the classical maintenance actions for RC bridges are firstly categorized into four types: Preventive type I, Preventive type II, Strengthening and Replacement. Preventive type I is used to delay the onset of steel corrosion, Preventive type II can suppress the corrosion process of reinforcing steel, Strengthening is the application of various maintenance materials to improve the structural performance and Replacement is performed to restore the individual components or overall structure to their original conditions. The quantitative influence of these maintenance types on structural performance is investigated and the respective analysis modules are written and inputted into the computer program. Accordingly, the time-variant system reliability can be calculated by the use of Monte Carlo simulations and the updated the program. Finally, an existing RC continuous bridge located in Shanghai, China, is used as an illustrative example and the lifetime structural performance with and without each of the maintenance types are discussed. It is felt that the proposed approach can be applied to various RC bridges with different structural configurations, construction methods and environmental conditions.
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Node Incentive Mechanism in Selfish Opportunistic Network
( Hao-tian Wang ),( Zhi-gang Chen ),( Jia Wu ),( Lei-lei Wang ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.3
In opportunistic network, the behavior of a node is autonomous and has social attributes such as selfishness.If a node wants to forward information to another node, it is bound to be limited by the node's own resources such as cache, power, and energy.Therefore, in the process of communication, some nodes do not help to forward information of other nodes because of their selfish behavior. This will lead to the inability to complete cooperation, greatly reduce the success rate of message transmission, increase network delay, and affect the overall network performance. This article proposes a hybrid incentive mechanism (Mim) based on the Reputation mechanism and the Credit mechanism.The selfishness model, energy model (The energy in the article exists in the form of electricity) and transaction model constitute our Mim mechanism. The Mim classifies the selfishness of nodes and constantly pay attention to changes in node energy, and manage the wealth of both sides of the node by introducing the Central Money Management Center. By calculating the selfishness of the node, the currency trading model is used to differentiate pricing of the node's services. Simulation results show that by using the Mim, the information delivery rate in the network and the fairness of node transactions are improved. At the same time, it also greatly increases the average life of the network
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Four-Leg Object Recognition for Service Robot Based on Top-hat Transformation
Hao Wu,Guohui Tian,Xinran Wang,Fei Lu 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.12
A method of object recognition for objects with special topological structure is developed based on top-hat transformation for service robot. The objects with four legs are easily detected and recognized by service robot with laser ranger array by this method. First, the top-hat transformation in one dimension is reviewed, then the recognition strategy of self-adapting threshold for objects with special topological structure is proposed, and the general data process for object recognition and position is proposed and analyzed. Experimental results show that the process of object recognition based on top-hat transformation proposed in this article is an effective and accurate application.
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Tian Tian,Ma Zetao,Cui Qiong,Shu Jie,Tan Lei,Wang Hao 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.6
Recently, offshore wind farms (OWFs) are gaining more and more attention for its high efficiency and yearly energy production capacity. However, the power generated by OWFs has the drawbacks of intermittence and fluctuation, leading to the deterioration of electricity grid stability and wind curtailment. Energy storage is one of the most important solutions to smooth the wind power and capture its surplus. In this paper, we provide a multi-objective optimization approach that combines multi-objective particle swarm optimization and rule-based energy management strategy for an on-gird offshore wind-hydrogen-battery system to simultaneously address the economic (Eco), the qualified rate of smoothing offshore wind power fluctuations (QRS), and the rate of offshore wind power curtailment (ROC). Results revealed that ROC and Eco, QRS and Eco are negatively correlated, but ROC and QRS are positively correlated. The hybrid storage system is more conducive to improve QRS and reduce ROC. Comparing with other three systems, the improvement range for ROC is between 13.6 and 46% when QRS is 100%. In addition, battery storage improves QRS by 2.6%, hydrogen storage deteriorates Eco by 86.8% and improve ROC by 38.5%, the change of ROC and QRS brings by transmission project are close to 100% and 4.4%.
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Effect of Sand Particle Size on Hydraulic-Mechanical Behavior of Bentonite-Sand Mixtures
Tian-Hao Lu,Wen-Jing Sun,Ke Liu,Yun-Zhi Tan 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.8
Bentonite-sand mixtures can be used as the base material of engineered barriers in deep high-level radioactive waste geological repositories. Swelling, compression, and permeability tests were conducted out on bentonite-sand mixtures with 30%, 50%, 70% and 85% sand content. Influence of sand content and particle size on the deformation and permeability characteristics of bentonite-sand mixtures were analyzed. The sand particle size affects the deformation characteristics by influencing the vertical stress required to form a sand skeleton, and the skeleton’s stability. When the sand content is less than the critical sand content, bentonite-sand mixtures cannot form a sand skeleton, and particle size has no effect on their characteristics. When the sand content is greater than the critical sand content and the vertical stress exceeds the initial deviation stress, a sand skeleton forms. In this case, smaller the sand particle size, lesser will be the vertical stress required to form a sand skeleton, and more the swelling of bentonite-sand mixtures. Further, more uniform particle size, more stable will be its structure and lesser the compressibility of bentonite-sand mixtures. The hydraulic conductivity is related to the flow area and the seepage path length, and particle size has no obvious effect on either with the same sand content. Therefore, the sand particle size has no obvious effect on mixtures’ permeability.
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Tian-Hao Weng,Min-Ya Yao,Xiang-Ming Xu,Chen-Yu Hu,Shu-Hao Yao,Yi-Zhi Liu,Zhi-Gang Wu,Tao-Ming Tang,Pei-Fen Fu,Ming-Hai Wang,Hang-Ping Yao 대한암학회 2020 Cancer Research and Treatment Vol.52 No.3
Purpose Triple-negative breast cancer (TNBC) is highly malignant and has poor prognosis and a high mortality rate. The lack of effective therapy has spurred our investigation of new targets for treating this malignant cancer. Here, we identified RON (macrophage-stimulating 1 receptor) and MET (MET proto-oncogene, receptor tyrosine kinase) as a prognostic biomarker and therapeutic targets for potential TNBC treatment. Materials and Methods We analyzed RON and MET expression in 187 primary TNBC clinical samples with immunohistochemistry. We validated the targeted therapeutic effects of RON and MET in TNBC using three tyrosine kinase inhibitors (TKIs): BMS-777607, INCB28060, and tivantinib. The preclinical therapeutic efficacy of the TKIs was mainly estimated using a TNBC xenograft model. Results Patients with TNBC had widespread, abnormal expression of RON and MET. There was RON overexpression, MET overexpression, and RON and MET co-overexpression in 63 (33.7%), 63 (33.7%), and 43 cases (23.0%), respectively, which had poor prognosis and short survival. In vivo, the TKI targeting RON ant MET inhibited the activation of the downstream signaling molecules, inhibited TNBC cell migration and proliferation, and increased TNBC cell apoptosis; in the xenograft model, they significantly inhibited tumor growth and shrank tumor volumes. The TKI targeting RON and Met, such as BMS-777607 and tivantinib, yielded stronger anti-tumor effects than INCB28060. Conclusion RON and MET co-overexpression can be significant pathological characteristics in TNBC for poor prognosis. TKIs targeting RON and MET have stronger drug development potential for treating TNBC.
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( Tian Yang ),( Li-yang Sun ),( Lei Liang ),( Ya-hao Zhou ),( Wei-min Gu ),( Hong Wang ),( Ting-hao Chen ),( Yong-yi Zeng ),( Wan Yee Lau ),( Meng-chao Wu ),( Feng Shen ) 대한간학회 2020 춘·추계 학술대회 (KASL) Vol.2020 No.1
Aims: Postoperative morbidity following hepatectomy remains high, and understanding its risk factors is important to improve perioperative outcomes. We aimed to identify the role of two non-invasive markers - albumin-bilirubin (ALBI) and aspartate transaminase to platelet ratio index (APRI) - in predicting postoperative morbidity following hepatectomy for hepatocellular carcinoma (HCC). Methods: A multicenter data of patients undergoing hepatectomy for HCC at 8 centers were retrospectively analyzed. These patients were divided into normal and high groups according to preoperative ALBI and APRI scores. ALBI and APRI’s predictive accuracy of postoperative 30-day overall and major morbidity were evaluated by the area under the receiver operating characteristic curve (AUC) and compared with two conventional scores: Child-Pugh grade and model for end-stage liver disease (MELD). Results: In 2,301 patients, 866 (37.6%) and 400 (17.4%) were in the high ALBI and APRI groups, respectively. There were significant differences of postoperative overall morbidity between the normal and high ALBI groups (26.2% vs. 40.1%, P<0.001), as well as between the normal and high APRI groups (29.2% vs. 42.4%, P<0.001). The AUCs of the ALBI and APRI scores for predicting overall morbidity are greater than those of Child- Pugh grade and MELD score. Multivariable analyses revealed that ALBI and APRI were independent predictors of overall morbidity in both preoperative and postoperative prediction models. Similar results existed in predicting postoperative major morbidity. Conclusions: Preoperative ALBI and APRI could predict postoperative 30-day overall and major morbidity following hepatectomy for HCC before or after surgery.
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