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Book ; Online: Neural Optimal Control

Chi, Cheng

Concurrent System Identification and Control Learning with Neural ODE

2024

Abstract: Controlling continuous-time dynamical systems is generally a two step process: first, identify or model the system dynamics with differential equations, then, minimize the control objectives to achieve optimal control function and optimal state ... ...

Abstract	Controlling continuous-time dynamical systems is generally a two step process: first, identify or model the system dynamics with differential equations, then, minimize the control objectives to achieve optimal control function and optimal state trajectories. However, any inaccuracy in dynamics modeling will lead to sub-optimality in the resulting control function. To address this, we propose a neural ODE based method for controlling unknown dynamical systems, denoted as Neural Optimal Control (NOC), which combines dynamics identification and optimal control learning using a coupled neural ODE. Through an intriguing interplay between the two neural networks in coupled neural ODE structure, our model concurrently learns system dynamics as well as optimal controls that guides towards target states. Our experiments demonstrate the effectiveness of our model for learning optimal control of unknown dynamical systems. Comment: 9 pages, code open sourced in format of Google Colab notebooks; Resubmitted for adding missed references in the first submission
Keywords	Computer Science - Artificial Intelligence
Publishing date	2024-01-03
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Prediction of Residual Electrical Life in Alternating Current Circuit Breakers Based on Savitzky-Golay-Long Short-Term.

Ouyang, Junfeng / Chi, Changchun

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 15

Abstract: In order to improve the accuracy of predicting the remaining electrical life of AC circuit breakers, ensure the safe operation of electrical equipment, and reduce economic losses caused by equipment failures, this paper studies a method based on the ... ...

Abstract	In order to improve the accuracy of predicting the remaining electrical life of AC circuit breakers, ensure the safe operation of electrical equipment, and reduce economic losses caused by equipment failures, this paper studies a method based on the Savitzky-Golay convolution smoothing long short-term memory neural network for predicting the electrical life of AC circuit breakers. First, a full lifespan test is conducted to obtain degradation data throughout the entire life cycle of the AC circuit breaker, from which feature parameters that effectively reflect its operational state are extracted. Next, principal component analysis and the maximum information coefficient are used to remove redundancy in the feature parameters and choose the best subset of features. Subsequently, the Savitzky-Golay convolutional smoothing algorithm is employed to smooth the feature sequence, reducing the impact of noise and outliers on the feature sequence while preserving its main trends. Then, a secondary feature extraction is performed on the smoothed feature subset to obtain the optimal secondary feature subset. Finally, the remaining electrical lifespan of the AC circuit breaker is treated as a long-term sequence problem and the long short-term memory neural network method is used for precise time-series forecasting. The proposed model outperforms backpropagation neural networks and the gate recurrent unit in terms of prediction precision, achieving an impressive 97.4% accuracy. This demonstrates the feasibility of using time-series forecasting for predicting the residual electrical lifespan of electrical equipment and provides a reference for optimizing the method of predicting remaining electrical life.
Language	English
Publishing date	2023-08-01
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23156860
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Article ; Online: Cellular reprogramming of fibroblasts in heart regeneration.

Chi, Congwu / Song, Kunhua

Journal of molecular and cellular cardiology

2023 Volume 180, Page(s) 84–93

Abstract: Myocardial infarction causes the loss of cardiomyocytes and the formation of cardiac fibrosis due to the activation of cardiac fibroblasts, leading to cardiac dysfunction and heart failure. Unfortunately, current therapeutic interventions can only slow ... ...

Abstract	Myocardial infarction causes the loss of cardiomyocytes and the formation of cardiac fibrosis due to the activation of cardiac fibroblasts, leading to cardiac dysfunction and heart failure. Unfortunately, current therapeutic interventions can only slow the disease progression. Furthermore, they cannot fully restore cardiac function, likely because the adult human heart lacks sufficient capacity to regenerate cardiomyocytes. Therefore, intensive efforts have focused on developing therapeutics to regenerate the damaged heart. Several strategies have been intensively investigated, including stimulation of cardiomyocyte proliferation, transplantation of stem cell-derived cardiomyocytes, and conversion of fibroblasts into cardiac cells. Resident cardiac fibroblasts are critical in the maintenance of the structure and contractility of the heart. Fibroblast plasticity makes this type of cells be reprogrammed into many cell types, including but not limited to induced pluripotent stem cells, induced cardiac progenitor cells, and induced cardiomyocytes. Fibroblasts have become a therapeutic target due to their critical roles in cardiac pathogenesis. This review summarizes the reprogramming of fibroblasts into induced pluripotent stem cell-derived cardiomyocytes, induced cardiac progenitor cells, and induced cardiomyocytes to repair a damaged heart, outlines recent findings in utilizing fibroblast-derived cells for heart regeneration, and discusses the limitations and challenges.
MeSH term(s)	Humans ; Cellular Reprogramming ; Myocytes, Cardiac/metabolism ; Induced Pluripotent Stem Cells/metabolism ; Heart Diseases/pathology ; Fibroblasts/metabolism
Language	English
Publishing date	2023-03-23
Publishing country	England
Document type	Journal Article ; Review ; Research Support, N.I.H., Extramural
ZDB-ID	80157-4
ISSN	1095-8584 ; 0022-2828
ISSN (online)	1095-8584
ISSN	0022-2828
DOI	10.1016/j.yjmcc.2023.03.009
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Article: Differentiation of Pluripotent Stem Cells for Disease Modeling: Learning from Heart Development.

Chi, Congwu / Roland, Truman J / Song, Kunhua

Pharmaceuticals (Basel, Switzerland)

2024 Volume 17, Issue 3

Abstract: Heart disease is a pressing public health problem and the leading cause of death worldwide. The heart is the first organ to gain function during embryogenesis in mammals. Heart development involves cell determination, expansion, migration, and crosstalk, ...

Abstract	Heart disease is a pressing public health problem and the leading cause of death worldwide. The heart is the first organ to gain function during embryogenesis in mammals. Heart development involves cell determination, expansion, migration, and crosstalk, which are orchestrated by numerous signaling pathways, such as the Wnt, TGF-β, IGF, and Retinoic acid signaling pathways. Human-induced pluripotent stem cell-based platforms are emerging as promising approaches for modeling heart disease in vitro. Understanding the signaling pathways that are essential for cardiac development has shed light on the molecular mechanisms of congenital heart defects and postnatal heart diseases, significantly advancing stem cell-based platforms to model heart diseases. This review summarizes signaling pathways that are crucial for heart development and discusses how these findings improve the strategies for modeling human heart disease in vitro.
Language	English
Publishing date	2024-03-05
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2193542-7
ISSN	1424-8247
ISSN	1424-8247
DOI	10.3390/ph17030337
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Article ; Online: Affinity-assisted covalent self-assembly of PduQ-SpyTag and Nox-SpyCatcher to construct multi-enzyme complexes on the surface of magnetic microsphere modified with chelated Ni

Luo, Mianxing / Zhang, Meng / Chi, Changbiao / Chen, Guo

International journal of biological macromolecules

2024 Volume 261, Issue Pt 1, Page(s) 129365

Abstract: It is of great significance to study the effect of multi-enzyme aggregation behavior at the interface on the formation of multi-enzyme complexes and their co-catalytic characteristics, which is helpful for us to design and construct immobilized multi- ... ...

Abstract	It is of great significance to study the effect of multi-enzyme aggregation behavior at the interface on the formation of multi-enzyme complexes and their co-catalytic characteristics, which is helpful for us to design and construct immobilized multi-enzyme complex systems for in vitro synthetic biology. Here, a magnetic microsphere with chelated Ni
MeSH term(s)	Microspheres ; Enzymes, Immobilized ; Catalysis ; Multienzyme Complexes/chemistry ; Magnetic Phenomena
Chemical Substances	Enzymes, Immobilized ; Multienzyme Complexes
Language	English
Publishing date	2024-01-11
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	282732-3
ISSN	1879-0003 ; 0141-8130
ISSN (online)	1879-0003
ISSN	0141-8130
DOI	10.1016/j.ijbiomac.2024.129365
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Article ; Online: An intelligent recommendation system for personalised parametric garment patterns by integrating designer's knowledge and 3D body measurements.

Chi, Cheng / Zeng, Xianyi / Bruniaux, Pascal / Tartare, Guillaume

Ergonomics

2024 , Page(s) 1–21

Abstract: Garment pattern-making is one of the most important parts of the apparel industry. However, traditional pattern-making is an experience-based work, very time-consuming and ignores the body shape difference. This paper proposes a parametric design method ... ...

Abstract	Garment pattern-making is one of the most important parts of the apparel industry. However, traditional pattern-making is an experience-based work, very time-consuming and ignores the body shape difference. This paper proposes a parametric design method for garment pattern based on body dimensions acquired from a body scanner and body features (body feature points and three segmented body part shape classification) identified by designers according to their professional knowledge. By using this method, we construct a men's shirt pattern recommendation system oriented to personalised fit. The system consists of two databases and three models. The two databases include a relational database (Database I) and a personalised basic pattern (PBP) database (Database II). The Database I is based on manual and three-dimensional (3D) measurements of human bodies by using designer's knowledge. And Database I is a relational database, which is organised in terms of the relational model of the body part shape and its key body feature dimensions. After a deep analysis of measured data, the irrelevant measured dimensions to human body shape have been excluded by designers and extract representative human body feature dimensions. In addition, the relations between body shapes and previously identified body feature dimensions have been modelled. From the above relational model, we label key feature point positions on the corresponding 3D body model obtained from 3D body scanning and correct the whole 3D human upper body model into the semantically interpretable one. The 3D personalised basic pattern is drawn on the corrected model based on these key feature points. By using three-dimensional to two-dimensional (3D-to-2D) flattening technology, a 2D flatten graph of the 3D personalised basic pattern of the interpretable model is obtained and slightly adjusted to the form suitable for industrial production, i.e., PBP and the PBP database (Database II) is built. In addition, the three models include a basic pattern parametric model (Model I) (characterizing the relations between the basic pattern and its key influencing human dimensions (chest girth and back length)), a regression model (Model II) which enables to infer from basic pattern to PBP for three body parts based on the one-to-one correspondence of key points between the PBPs and the basic patterns and a personalised shirt pattern parametric model (Model III) (characterizing the structural relations between the personalised shirt pattern (PBPshirt) and PBP). The initial input items of the recommendation system are the body dimension constraint parameters, including chest girth, back length and the body feature dimensions used to determine each body part shape as well as three shirt style constraint parameters (slim, regular and loose). By using Model I, the corresponding basic pattern can be generated through the user's chest girth and back length. Body feature dimensions determine the three body parts' shapes. Then, Model II is used to generate the PBP for the corresponding body parts shape. Based on the shirt style chosen by the user, Mode III is used to generate the PBPshirt from the PBP. The output of the recommendation system is a fit-oriented PBPshirt. Moreover, if the PBPshirt is unsatisfactory after a virtual try-on, four adjustable parameters (front side-seam dart, back side-seam dart, waist dart and garment bodice length) are designed to adjust the PBPshirt generated by the proposed recommendation system.
Language	English
Publishing date	2024-03-28
Publishing country	England
Document type	Journal Article
ZDB-ID	1920-3
ISSN	1366-5847 ; 0014-0139
ISSN (online)	1366-5847
ISSN	0014-0139
DOI	10.1080/00140139.2024.2332772
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Article ; Online: Dermoscopy and reflectance confocal microscopy for early diagnosis of amelanotic/hypomelanotic melanoma: still a long way to go?

Chi, C-C

The British journal of dermatology

2020 Volume 183, Issue 2, Page(s) 197

MeSH term(s)	Dermoscopy ; Early Diagnosis ; Humans ; Melanoma, Amelanotic/diagnostic imaging ; Microscopy, Confocal ; Skin Neoplasms/diagnosis
Language	English
Publishing date	2020-02-23
Publishing country	England
Document type	Journal Article ; Comment
ZDB-ID	80076-4
ISSN	1365-2133 ; 0007-0963
ISSN (online)	1365-2133
ISSN	0007-0963
DOI	10.1111/bjd.18893
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Article ; Online: Integrating Citizens Juries and Discrete Choice Experiments: Methodological issues in the measurement of public values in healthcare priority setting.

Schoon, Rebecca / Chi, Chunhuei

Social science & medicine (1982)

2022 Volume 309, Page(s) 115223

Abstract: All health systems struggle with unlimited needs for healthcare, yet limited resources with which to address them. Under national health insurance systems, policymakers must make explicit and potentially contested decisions around resource allocation. ... ...

Abstract	All health systems struggle with unlimited needs for healthcare, yet limited resources with which to address them. Under national health insurance systems, policymakers must make explicit and potentially contested decisions around resource allocation. Policymakers have recognized the need to include public values in decisions regarding the distribution of resources across competing health priorities. Given the complex nature of these decisions, however, research into how to effectively measure public preferences is underdeveloped. Measuring community values poses special challenges since they involve normative judgments that can be interpreted differently across individuals and communities. Researchers have previously proposed integrating two methods that are currently used for measuring public preferences around healthcare services: i) an individual survey instrument, the Discrete Choice Experiment (DCE) and ii) a group-based model that incorporates informed opinions and deliberative dialogue, Citizen Juries (CJs). This current paper proposes a framework for implementing that integration and assesses methodological issues in the integration of DCEs and CJs, including issues of generalizability and validity. CJs and DCEs have conflicting epistemological and methodological foundations, which impact how researchers might analyze results of the integrated method. Researchers and policymakers interested in measuring social values should determine the philosophical orientation of their research question prior to study design, which will assist in choosing an appropriate research method. Further research is needed to investigate the empirical validity of the integrated method and how it may be implemented to maximize public acceptance. Advancing these methods can provide an improved instrument for capturing public preferences for policymakers tasked with priority setting in diverse contexts.
MeSH term(s)	Community Participation/methods ; Delivery of Health Care ; Health Facilities ; Health Priorities ; Humans
Language	English
Publishing date	2022-07-19
Publishing country	England
Document type	Journal Article
ZDB-ID	4766-1
ISSN	1873-5347 ; 0037-7856 ; 0277-9536
ISSN (online)	1873-5347
ISSN	0037-7856 ; 0277-9536
DOI	10.1016/j.socscimed.2022.115223
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Article ; Online: Incident bullous pemphigoid in a psoriatic patient following mRNA-1273 SARS-CoV-2 vaccination.

Hung, W-K / Chi, C-C

Journal of the European Academy of Dermatology and Venereology : JEADV

2022 Volume 36, Issue 6, Page(s) e407–e409

MeSH term(s)	2019-nCoV Vaccine mRNA-1273 ; COVID-19/prevention & control ; COVID-19 Vaccines/adverse effects ; Humans ; Pemphigoid, Bullous ; SARS-CoV-2 ; Vaccination
Chemical Substances	COVID-19 Vaccines ; 2019-nCoV Vaccine mRNA-1273 (EPK39PL4R4)
Language	English
Publishing date	2022-02-03
Publishing country	England
Document type	Letter
ZDB-ID	1128828-0
ISSN	1468-3083 ; 0926-9959
ISSN (online)	1468-3083
ISSN	0926-9959
DOI	10.1111/jdv.17955
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Article ; Online: Telemedicine in the light of COVID-19: Implications for the development of burn care.

Chi, Cheng / Zhang, Xiu-Hang

Burns : journal of the International Society for Burn Injuries

2022 Volume 49, Issue 4, Page(s) 983–984

MeSH term(s)	Humans ; Burns ; COVID-19 ; Telemedicine ; Burn Units
Language	English
Publishing date	2022-12-17
Publishing country	Netherlands
Document type	Letter
ZDB-ID	197308-3
ISSN	1879-1409 ; 0305-4179
ISSN (online)	1879-1409
ISSN	0305-4179
DOI	10.1016/j.burns.2022.12.005
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