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Article ; Online: The shape function method of nonlinear thermal stress of granite fracture tips in a high-temperature environment.

Wang, Yang / Chen, Wen-Hua

2024 Volume 14, Issue 1, Page(s) 2736

Abstract: Exposed rock masses in tunnel portals are susceptible to thermal deterioration in southern China, where temperatures are relatively high. The thermal stress field of rock masses is affected by fracture shape and distribution as fractures near the surface ...

Abstract	Exposed rock masses in tunnel portals are susceptible to thermal deterioration in southern China, where temperatures are relatively high. The thermal stress field of rock masses is affected by fracture shape and distribution as fractures near the surface are channels for solar radiation energy to be converted into rock thermal energy. In this study, a function expression is developed for triangular heat sources of fractured rock masses in a tunnel portal in a high-temperature environment. By the function expression, the temperature field and thermal stress field are calculated, and the influence of fracture shape parameters and multi-fracture interaction is analyzed. The results are as follows: (1) the temperature field and thermal stress field of exposed rocks are redistributed by fractures. The internal temperature of the fractured rocks is higher than that of non-fractured rocks, and thermal stress near the fracture tip increases. (2) For triangular fractures of the same length, thermal stress increases as the apex angle increases. (3) When the spacing between parallel fractures or coplanar fractures is close, the superposition effect of thermal stress becomes significant. (4) In a high-temperature environment, temperature field and thermal stress field of a fractured rock are both nonlinear as temperature and thermal stress around fractures increase significantly. The results provide effective reference for stability evaluation of fractured rock masses in tunnel portals and offer theoretical foundation for thermal diseases analysis and protection measures of tunnel engineering in high-temperature environments of southern China.
Language	English
Publishing date	2024-02-01
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-44570-0
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Article ; Online: Cooperative Active Learning-Based Dual Control for Exploration and Exploitation in Autonomous Search.

Li, Zhongguo / Chen, Wen-Hua / Yang, Jun / Liu, Cunjia

IEEE transactions on neural networks and learning systems

2024 Volume PP

Abstract: In this article, a multi-estimator based computationally efficient algorithm is developed for autonomous search in an unknown environment with an unknown source. Different from the existing approaches that require massive computational power to support ... ...

Abstract	In this article, a multi-estimator based computationally efficient algorithm is developed for autonomous search in an unknown environment with an unknown source. Different from the existing approaches that require massive computational power to support nonlinear Bayesian estimation and complex decision-making process, an efficient cooperative active-learning-based dual control for exploration and exploitation (COAL-DCEE) is developed for source estimation and path planning. Multiple cooperative estimators are deployed for environment learning process, which is helpful to improving the search performance and robustness against noisy measurements. The number of estimators used in COAL-DCEE is much smaller than that of the particles required for Bayesian estimation in information-theoretic approaches. Consequently, the computational load is significantly reduced. As an important feature of this study, the convergence and performance of COAL-DCEE are established in relation to the characteristics of sensor noises and turbulence disturbances. Numerical and experimental studies have been carried out to verify the effectiveness of the proposed framework. Compared with the existing approaches, COAL-DCEE not only provides convergence guarantee but also yields comparable search performance using much less computational power.
Language	English
Publishing date	2024-01-10
Publishing country	United States
Document type	Journal Article
ISSN	2162-2388
ISSN (online)	2162-2388
DOI	10.1109/TNNLS.2024.3349467
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Article ; Online: Synthesis of a Golgi-targeting fluorescent probe for the selective detection of chloride anions.

Yuan, Min / Hu, Jinhui / Chen, Wen-Hua

Organic & biomolecular chemistry

2023 Volume 21, Issue 28, Page(s) 5732–5736

Abstract: In this paper, we describe the synthesis and properties of a Golgi-targeting fluorescent probe for the selective detection of chloride anions. Specifically, we have synthesized one quaternized quinoline derivative bearing a sulfanilamido group and found ... ...

Abstract	In this paper, we describe the synthesis and properties of a Golgi-targeting fluorescent probe for the selective detection of chloride anions. Specifically, we have synthesized one quaternized quinoline derivative bearing a sulfanilamido group and found that this compound is able to primarily target the Golgi apparatus and detect the changes in the concentration of cellular chloride anions.
Language	English
Publishing date	2023-07-19
Publishing country	England
Document type	Journal Article
ZDB-ID	2097583-1
ISSN	1477-0539 ; 1477-0520
ISSN (online)	1477-0539
ISSN	1477-0520
DOI	10.1039/d3ob00709j
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Book ; Online: Stability of Finite Receding Horizon Control

Chen, Wen-Hua / Yan, Yunda

A Complementary Approach

2023

Abstract: This paper presents a complementary approach to establish stability of finite receding horizon control with a terminal cost. First a new augmented stage cost is defined by rotating the terminal cost. Then a one-step optimisation problem is defined based ... ...

Abstract	This paper presents a complementary approach to establish stability of finite receding horizon control with a terminal cost. First a new augmented stage cost is defined by rotating the terminal cost. Then a one-step optimisation problem is defined based on this augmented stage cost. It is shown that a slightly modified Model Predictive Control (MPC) algorithm is stable if the value function of the augmented one-step cost (OSVF) is a control Lyapunov function. The proposed stability condition is completely complementary to the existing terminal cost based MPC stability conditions in the sense that they are mutually excluded with each other. By using this approach, we are able to establish stability for MPC algorithms with zero terminal cost or even negative terminal cost as special cases. Combining this new approach with the existing MPC stability theory, we are able to significantly relax the stability requirement on MPC and extend the design space where stability are guaranteed. The proposed approach will help to further reduce the gap between stability theory and practical applications of MPC and other optimisation based control methods.
Keywords	Mathematics - Optimization and Control ; Electrical Engineering and Systems Science - Systems and Control
Subject code	510
Publishing date	2023-01-27
Publishing country	us
Document type	Book ; Online
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Book ; Online: A hierarchical control framework for autonomous decision-making systems

Wang, Xue-Fang / Jiang, Jingjing / Chen, Wen-Hua

Integrating HMDP and MPC

2024

Abstract: This paper proposes a comprehensive hierarchical control framework for autonomous decision-making arising in robotics and autonomous systems. In a typical hierarchical control architecture, high-level decision making is often characterised by discrete ... ...

Abstract	This paper proposes a comprehensive hierarchical control framework for autonomous decision-making arising in robotics and autonomous systems. In a typical hierarchical control architecture, high-level decision making is often characterised by discrete state and decision/control sets. However, a rational decision is usually affected by not only the discrete states of the autonomous system, but also the underlying continuous dynamics even the evolution of its operational environment. This paper proposes a holistic and comprehensive design process and framework for this type of challenging problems, from new modelling and design problem formulation to control design and stability analysis. It addresses the intricate interplay between traditional continuous systems dynamics utilized at the low levels for control design and discrete Markov decision processes (MDP) for facilitating high-level decision making. We model the decision making system in complex environments as a hybrid system consisting of a controlled MDP and autonomous (i.e. uncontrolled) continuous dynamics. Consequently, the new formulation is called as hybrid Markov decision process (HMDP). The design problem is formulated with a focus on ensuring both safety and optimality while taking into account the influence of both the discrete and continuous state variables of different levels. With the help of the model predictive control (MPC) concept, a decision maker design scheme is proposed for the proposed hybrid decision making model. By carefully designing key ingredients involved in this scheme, it is shown that the recursive feasibility and stability of the proposed autonomous decision making scheme are guaranteed. The proposed framework is applied to develop an autonomous lane changing system for intelligent vehicles. Comment: 11 pages, 14 figures, submitted to Automatica
Keywords	Electrical Engineering and Systems Science - Systems and Control ; Computer Science - Artificial Intelligence ; Computer Science - Robotics
Subject code	006
Publishing date	2024-01-12
Publishing country	us
Document type	Book ; Online
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Book ; Online: Stability of Finite Horizon Optimisation based Control without Terminal Weight

Chen, Wen-Hua

2020

Abstract: This paper presents a stability analysis tool for model predictive control (MPC) where control action is generated by optimising a cost function over a finite horizon. Stability analysis of MPC with a limited horizon but without terminal weight is a well ...

Abstract	This paper presents a stability analysis tool for model predictive control (MPC) where control action is generated by optimising a cost function over a finite horizon. Stability analysis of MPC with a limited horizon but without terminal weight is a well known challenging problem. We define a new value function based on an auxiliary one-step optimisation related to stage cost, namely optimal one-step value function (OSVF). It is shown that a finite horizon MPC can be made to be asymptotically stable if OSVF is a (local) control Lyapunov function (CLF). More specifically, by exploiting the CLF property of OSFV to construct a contractive terminal set, a new stabilising MPC algorithm (CMPC) is proposed. We show that CMPC is recursively feasible and guarantees stability under the condition that OSVF is a CLF. Checking this condition and estimation of the maximal terminal set are discussed. Numerical examples are presented to demonstrate the effectiveness of the proposed stability condition and corresponding CMPC algorithm. Comment: Accepted by International Journal of Systems Science, 20/06/2022
Keywords	Electrical Engineering and Systems Science - Systems and Control ; Computer Science - Artificial Intelligence ; Computer Science - Machine Learning ; Computer Science - Robotics
Subject code	006
Publishing date	2020-11-28
Publishing country	us
Document type	Book ; Online
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Article ; Online: Prognostic nomogram model for selecting between transarterial chemoembolization plus lenvatinib, with and without PD-1 inhibitor in unresectable hepatocellular carcinoma.

Sheng, Ye / Wang, Qing / Liu, HaiFeng / Wang, Qi / Chen, WenHua / Xing, Wei

The British journal of radiology

2024 Volume 97, Issue 1155, Page(s) 668–679

Abstract: Objectives: To establish and verify a prognostic nomogram model for selecting in unresectable hepatocellular carcinoma (uHCC) treated by transarterial chemoembolization plus lenvatinib (TACE-L) with or without PD-1 inhibitor.: Methods: Data of 241 ... ...

Abstract	Objectives: To establish and verify a prognostic nomogram model for selecting in unresectable hepatocellular carcinoma (uHCC) treated by transarterial chemoembolization plus lenvatinib (TACE-L) with or without PD-1 inhibitor. Methods: Data of 241 uHCC patients who underwent TACE-L (n = 128) and TACE-L plus PD-1 inhibitor (TACE-L-P, n = 113) were retrospectively reviewed. The differences in tumour responses, progression-free survival (PFS), overall survival (OS), and adverse events (AEs) between two groups were compared, and a prognostic nomogram model was established based on independent clinical-radiologic factors and confirmed by Cox regression analysis for predicting PFS and OS. The treatment selection for uHCC patients was stratified by the nomogram score. Results: Compared to TACE-L, TACE-L-P presented prolonged PFS (14.0 vs. 9.0 months, P < .001), longer OS (24.0 vs. 15.0 months, P < .001), and a better overall objective response rate (54.0% vs. 32.8%, P = .001). There was no significant difference between the rate of AEs in the TACE-L-P and the TACE-L (56.64% vs. 46.09%, P = .102) and the rate of grade ≥ 3 AEs (11.50% vs. 9.38%, P = .588), respectively. The nomogram model presented good discrimination, with a C-index of 0.790 for predicting PFS and 0.749 for predicting OS. Patients who underwent TACE-L and obtained a nomogram score >9 demonstrated improved 2-year PFS when transferred to TACE-L-P, and those with a nomogram ≤25 had better 2-year OS when transferred to TACE-L-P. Conclusions: TACE-L-P showed significant improvements in efficiency and safety for uHCC patients compared with TACE-L. The nomogram was useful for stratifying treatment decisions and selecting a suitable population for uHCC patients. Advances in knowledge: Prognostic nomogram model is of great value in predicting individualized survival benefits for uHCC patients after TACE-L or/and TACE-L-P. And the nomogram was helpful for selection between TACE-L-P and TACE-L among uHCC patients.
MeSH term(s)	Humans ; Carcinoma, Hepatocellular/therapy ; Liver Neoplasms/therapy ; Prognosis ; Nomograms ; Immune Checkpoint Inhibitors ; Retrospective Studies ; Chemoembolization, Therapeutic ; Phenylurea Compounds ; Quinolines
Chemical Substances	Immune Checkpoint Inhibitors ; lenvatinib (EE083865G2) ; Phenylurea Compounds ; Quinolines
Language	English
Publishing date	2024-02-02
Publishing country	England
Document type	Journal Article
ZDB-ID	2982-8
ISSN	1748-880X ; 0007-1285
ISSN (online)	1748-880X
ISSN	0007-1285
DOI	10.1093/bjr/tqae018
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Article: Life Table Study of Fall Armyworm (

Chen, Wen-Hua / Itza, Brandon / Kafle, Lekhnath / Chang, Tsui-Ying

Insects

2023 Volume 14, Issue 4

Abstract: After being discovered in Taiwan for the first time in June 2019, the polyphagous invasive fall armyworm (FAW), ...

Abstract	After being discovered in Taiwan for the first time in June 2019, the polyphagous invasive fall armyworm (FAW),
Language	English
Publishing date	2023-03-28
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662247-6
ISSN	2075-4450
ISSN	2075-4450
DOI	10.3390/insects14040329
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Article ; Online: Evaluations of the neuroprotective effects of a dual-target isoquinoline inhibitor in the triple transgenic mouse model of Alzheimer's disease.

Wei, Rong / He, Jun-Qiu / Chen, Wen-Hua / Tam, Kin Yip

Neuroscience letters

2023 Volume 802, Page(s) 137166

Abstract: Alzheimer's disease (AD) patients exhibit neuropathological features, such as amyloid-beta (Aβ) plaques and neurogenic fibrillary tangles. These features are thought to play important pathogenic roles, including neuronal dysfunction and apoptosis in the ... ...

Abstract	Alzheimer's disease (AD) patients exhibit neuropathological features, such as amyloid-beta (Aβ) plaques and neurogenic fibrillary tangles. These features are thought to play important pathogenic roles, including neuronal dysfunction and apoptosis in the disease progression. Herein, we systematically evaluated a previously reported dual-target isoquinoline inhibitor (9S) for cholinesterase and Aβ aggregation in in vitro and in vivo models of AD. 9S exhibited neuroprotective effects in Aβ-induced and PHF6-induced PC12 cell models as well as in an okadaic acid-induced SH-SY5Y cell model, which were due to attenuated neuronal apoptosis through modulations of GSK-3β phosphorylation and reactive oxygen species. One-month administration of 9S to triple transgenic AD (3 × Tg-AD) female mice (aged 6 months) led to significant improvement in cognitive deficits. Whereas similar treatment regimens for older 3 × Tg-AD female mice (aged 10 months) showed negligible neuroprotective effects. These findings suggest the importance of therapeutic intervention at the early stage of the disease.
MeSH term(s)	Mice ; Humans ; Female ; Animals ; Alzheimer Disease/pathology ; Mice, Transgenic ; Neuroprotective Agents/pharmacology ; Neuroprotective Agents/therapeutic use ; Glycogen Synthase Kinase 3 beta ; Neuroblastoma/drug therapy ; Amyloid beta-Peptides ; Isoquinolines/therapeutic use ; Disease Models, Animal ; Repressor Proteins
Chemical Substances	Neuroprotective Agents ; Glycogen Synthase Kinase 3 beta (EC 2.7.11.1) ; Amyloid beta-Peptides ; Isoquinolines ; Phf6 protein, mouse ; Repressor Proteins
Language	English
Publishing date	2023-03-06
Publishing country	Ireland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	194929-9
ISSN	1872-7972 ; 0304-3940
ISSN (online)	1872-7972
ISSN	0304-3940
DOI	10.1016/j.neulet.2023.137166
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Book ; Online: Model Predictive Control with Preview

Fang, Xing / Chen, Wen-Hua

Recursive Feasibility and Stability

2022

Abstract: This paper proposes a stabilising model predictive control (MPC) scheme with preview information of disturbance for nonlinear systems. The proposed MPC algorithm is able to not only reject disturbance by making use of disturbance preview information as ... ...

Abstract	This paper proposes a stabilising model predictive control (MPC) scheme with preview information of disturbance for nonlinear systems. The proposed MPC algorithm is able to not only reject disturbance by making use of disturbance preview information as necessary, but also take advantage of the disturbance if it is good for a control task. This is realised by taking into account both the task (e.g. reference trajectory) and disturbance preview in the prediction horizon when performing online optimisation. Conditions are established to ensure recursive feasibility and stability under the disturbance. First the disturbance within the horizon is augmented with the state to form a new composite system and then the stage cost function is modified accordingly. With the help of input-to-state stability theory, a terminal cost and a terminal constraint are constructed and added to the MPC algorithm with preview to guarantee its recursive feasibility and stability under a pre-bounded disturbance. Numerical simulation results demonstrate the effectiveness of the proposed MPC algorithm.
Keywords	Electrical Engineering and Systems Science - Systems and Control
Publishing date	2022-02-25
Publishing country	us
Document type	Book ; Online
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