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Article ; Online: Predefined-Time Convergent Kinematic Control of Robotic Manipulators With Unknown Models Based on Hybrid Neural Dynamics and Human Behaviors.

Tan, Ning / Yu, Peng

IEEE transactions on neural networks and learning systems

2023 Volume PP

Abstract: This article proposes a model-free kinematic control method with predefined-time convergence for robotic manipulators with unknown models. The predefined-time convergence property guarantees that the regulation task can be finished by robotic ... ...

Abstract	This article proposes a model-free kinematic control method with predefined-time convergence for robotic manipulators with unknown models. The predefined-time convergence property guarantees that the regulation task can be finished by robotic manipulators in a preset time, in spite of the initial state of manipulators. This feature will facilitate the scheduling of a series of tasks in industrial applications. To this end, a varying-parameter predefined-time convergent zeroing neural dynamics (ZND) model is first proposed and employed to solve the regulation problem. As well as the primary task, a conventional ZND model is utilized to achieve the avoidance of obstacle. The stability of the proposed controller is analyzed based on the Lyapunov stability theory. For the sake of dealing with the unknown kinematic model of robotic manipulators, gradient neural dynamics (GND) models are exploited to adapt the Jacobian matrices just relying on the control signal and sensory output, which enables us to control robotic manipulators in a model-free manner. Finally, the efficacy and merits of the proposed control method are verified by simulations and experiments, including a comparison with the existing method.
Language	English
Publishing date	2023-09-13
Publishing country	United States
Document type	Journal Article
ISSN	2162-2388
ISSN (online)	2162-2388
DOI	10.1109/TNNLS.2023.3310744
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Uncalibrated and Unmodeled Image-Based Visual Servoing of Robot Manipulators Using Zeroing Neural Networks.

Tan, Ning / Yu, Peng / Zheng, Wenka

IEEE transactions on cybernetics

2024 Volume 54, Issue 4, Page(s) 2446–2459

Abstract: Neural networks have been widely investigated for the control of robot manipulators and recurrent neural network (RNN) is accepted as a powerful tool for visual servoing. Different from existing control schemes for robot-camera systems, this article ... ...

Abstract	Neural networks have been widely investigated for the control of robot manipulators and recurrent neural network (RNN) is accepted as a powerful tool for visual servoing. Different from existing control schemes for robot-camera systems, this article proposes a novel image-based visual servoing (IBVS) control scheme for both the regulation and tracking control of robot manipulators in the framework of a special class of RNN, termed zeroing neural network (ZNN), which does not require prior knowledge about camera configuration and kinematic model parameters. The proposed control scheme is composed of a data-driven mapping estimator and a controller, both of which are designed based on ZNN. To facilitate the deployment of the proposed IBVS control scheme, a discrete-time version of the proposed control scheme is developed. Theoretical analysis for the proposed method is presented in terms of convergence, stability, and robustness. In addition, simulations and experiments are carried out based on different types of robot-camera systems to verify the efficacy and portability of the proposed control scheme for solving regulation and trajectory IBVS problems. Moreover, comparative studies are performed to reveal the merits of the proposed control scheme.
Language	English
Publishing date	2024-03-18
Publishing country	United States
Document type	Journal Article
ISSN	2168-2275
ISSN (online)	2168-2275
DOI	10.1109/TCYB.2022.3227470
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Article ; Online: Model-free kinematic control of redundant manipulators with simultaneous joint-physical-limit and joint-angular-drift handling.

Yu, Peng / Tan, Ning / Zhong, Zhiyan / Liao, Shen

ISA transactions

2023 Volume 139, Page(s) 635–649

Abstract: Model-free tracking control methods have been developed for redundant robotic manipulators with unknown kinematic or dynamic models. However, most existing works have not considered the problems of joint physical limits and joint angular drift. Joint ... ...

Abstract	Model-free tracking control methods have been developed for redundant robotic manipulators with unknown kinematic or dynamic models. However, most existing works have not considered the problems of joint physical limits and joint angular drift. Joint angular drift refers to the phenomenon that the joint angles of a redundant manipulator are different from their initial state when the end-effector of the manipulator returns to its initial position. Therefore, this article proposes a model-free scheme for the tracking control of redundant manipulators as well as the avoidance of joint physical limits and joint angular drift. The proposed method aims to overcome these challenges by formulating the inverse kinematics problem as a constrained optimization problem, which incorporates the avoidance of joint angular drift into the optimization objective and takes the joint physical limits as a constraint. At the same time, an online Jacobian estimator is designed to observe the state of the manipulator. Specifically, it can estimate the Jacobian matrix of a redundant manipulator in real-time during the operation by fully exploiting the sensory data, without knowing the analytic robot model. Then, the optimization problem is integrated with the Jacobian estimator and solved by a discrete-time algorithm. Theoretical analysis is conducted to prove the stability and convergence of the proposed method. Moreover, the efficacy, practicability and superiority of the proposed method are supported by simulations and experiments based on different redundant manipulators.
Language	English
Publishing date	2023-04-08
Publishing country	United States
Document type	Journal Article
ZDB-ID	2012746-7
ISSN	1879-2022 ; 0019-0578
ISSN (online)	1879-2022
ISSN	0019-0578
DOI	10.1016/j.isatra.2023.03.042
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Article ; Online: Oridonin Promotes Apoptosis in Rheumatoid Arthritis Fibroblast-like Synoviocytes Through PERK/eIF2α/CHOP of Endoplasmic Reticulum Stress Pathway.

He, Shoudi / Huang, Changsheng / Tan, Ning / Zhang, Jianyong

DNA and cell biology

2023 Volume 42, Issue 12, Page(s) 711–719

Abstract: Oridonin (ORI), derived from Chinese ... ...

Abstract	Oridonin (ORI), derived from Chinese herbs
MeSH term(s)	Humans ; Synoviocytes/metabolism ; Eukaryotic Initiation Factor-2/genetics ; Eukaryotic Initiation Factor-2/metabolism ; Eukaryotic Initiation Factor-2/pharmacology ; Arthritis, Rheumatoid/genetics ; Apoptosis ; Fibroblasts/metabolism ; Endoplasmic Reticulum Stress ; Cell Proliferation ; Cells, Cultured
Chemical Substances	oridonin (0APJ98UCLQ) ; Eukaryotic Initiation Factor-2
Language	English
Publishing date	2023-10-20
Publishing country	United States
Document type	Journal Article
ZDB-ID	1024454-2
ISSN	1557-7430 ; 0198-0238 ; 1044-5498
ISSN (online)	1557-7430
ISSN	0198-0238 ; 1044-5498
DOI	10.1089/dna.2023.0244
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Article ; Online: Explicit Linear Left-and-Right 5-Step Formulas With Zeroing Neural Network for Time-Varying Applications.

Yang, Min / Zhang, Yunong / Tan, Ning / Hu, Haifeng

IEEE transactions on cybernetics

2023 Volume 53, Issue 2, Page(s) 1133–1143

Abstract: In this article, being different from conventional time-discretization (simply called discretization) formulas, explicit linear left-and-right 5-step (ELLR5S) formulas with sixth-order precision are proposed. The general sixth-order ELLR5S formula with ... ...

Abstract	In this article, being different from conventional time-discretization (simply called discretization) formulas, explicit linear left-and-right 5-step (ELLR5S) formulas with sixth-order precision are proposed. The general sixth-order ELLR5S formula with four variable parameters is developed first, and constraints of these four parameters are displayed to guarantee the zero stability, consistence, and convergence of the formula. Then, by choosing specific parameter values within constraints, eight specific sixth-order ELLR5S formulas are developed. The general sixth-order ELLR5S formula is further utilized to generate discrete zeroing neural network (DZNN) models for solving time-varying linear and nonlinear systems. For comparison, three conventional discretization formulas are also utilized. Theoretical analyses are presented to show the performance of ELLR5S formulas and DZNN models. Furthermore, abundant experiments, including three practical applications, that is, angle-of-arrival (AoA) localization and two redundant manipulators (PUMA560 manipulator and Kinova manipulator) control, are conducted. The synthesized results substantiate the efficacy and superiority of sixth-order ELLR5S formulas as well as the corresponding DZNN models.
Language	English
Publishing date	2023-01-13
Publishing country	United States
Document type	Journal Article
ISSN	2168-2275
ISSN (online)	2168-2275
DOI	10.1109/TCYB.2021.3104138
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Article ; Online: Study on Treatment Techniques for Food Waste and Municipal Sludge in County-Level Cities in Guizhou Province

Yu Can / Ma Qing / Tan Ning / Zhang Ya / Zhang Qing

E3S Web of Conferences, Vol 393, p

2023 Volume 03029

Abstract: Based on the characteristic of food waste and municipal sludge and the adaptability of various treatment techniques, comparisons of economic efficiency are proposed against the ubiquitous problems concerning food waste and municipal sludge disposal in ... ...

Abstract	Based on the characteristic of food waste and municipal sludge and the adaptability of various treatment techniques, comparisons of economic efficiency are proposed against the ubiquitous problems concerning food waste and municipal sludge disposal in county-level cities in Guizhou Province. And aerobic fermentation and hermetia illucens-based bioconversion are recommended for municipal sludge and food waste, respectively, to maximize resource reclamation and utilization.
Keywords	Environmental sciences ; GE1-350
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Prevalence of Malnutrition in Patients with Hepatocellular Carcinoma: A Comparative Study of GLIM Criteria, NRS2002, and PG-SGA, and Identification of Independent Risk Factors.

Tan, Shengqiang / Jiang, Jie / Qiu, Liulin / Liang, Yaohao / Meng, Jianyi / Tan, Ning / Xiang, Bangde

Nutrition and cancer

2024 Volume 76, Issue 4, Page(s) 335–344

Abstract: Aim: Malnutrition is prevalent in hepatocellular carcinoma (HCC) patients, linked to poor outcomes, necessitating early intervention. This study aimed to investigate malnutrition in HCC patients, assess Nutrition Risk Screening 2002 (NRS-2002) and ... ...

Abstract	Aim: Malnutrition is prevalent in hepatocellular carcinoma (HCC) patients, linked to poor outcomes, necessitating early intervention. This study aimed to investigate malnutrition in HCC patients, assess Nutrition Risk Screening 2002 (NRS-2002) and Patient-Generated Subjective Global Assessment (PG-SGA) Method: A cross-sectional retrospective study was conducted on 207 patients with HCC. Nutritional screening/assessment results and blood samples were collected within 72 h of admission. This study assessed the prevalence of malnutrition using the NRS-2002 and PG-SGA and retrospectively using the GLIM criteria. The performance of the screening tools was evaluated using kappa ( Results: Of the participants, 30.4% were at risk of malnutrition according to NRS-2002. The agreement between the NRS-2002 and GLIM criteria was substantial. The GLIM criteria and PG-SGA diagnosed malnutrition in 43 and 54.6% of the participants, respectively. Age, anemia, and ascites correlated with malnutrition in regression. Conclusion: The GLIM criteria, along with NRS-2002 and PG-SGA, aid in diagnosing malnutrition in HCC patients. Recognizing risk factors improves accuracy, enabling timely interventions for better outcomes.
MeSH term(s)	Humans ; Nutritional Status ; Carcinoma, Hepatocellular/complications ; Carcinoma, Hepatocellular/epidemiology ; Prevalence ; Retrospective Studies ; Cross-Sectional Studies ; Leadership ; Nutrition Assessment ; Liver Neoplasms/complications ; Liver Neoplasms/epidemiology ; Malnutrition/diagnosis ; Malnutrition/epidemiology ; Malnutrition/etiology ; Risk Factors
Language	English
Publishing date	2024-02-20
Publishing country	United States
Document type	Journal Article
ZDB-ID	424433-3
ISSN	1532-7914 ; 0163-5581
ISSN (online)	1532-7914
ISSN	0163-5581
DOI	10.1080/01635581.2024.2314317
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Zs.A 1496: Show issues

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Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

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Article ; Online: OSMAC Strategy: A promising way to explore microbial cyclic peptides.

Zhang, Yu / Feng, Li / Hemu, Xinya / Tan, Ning-Hua / Wang, Zhe

European journal of medicinal chemistry

2024 Volume 268, Page(s) 116175

Abstract: Microbial secondary metabolites are pivotal for the development of novel drugs. However, conventional culture techniques, have left a vast array of unexpressed biosynthetic gene clusters (BGCs) in microorganisms, hindering the discovery of metabolites ... ...

Abstract	Microbial secondary metabolites are pivotal for the development of novel drugs. However, conventional culture techniques, have left a vast array of unexpressed biosynthetic gene clusters (BGCs) in microorganisms, hindering the discovery of metabolites with distinct structural features and diverse biological functions. To address this limitation, several innovative strategies have been emerged. The "One Strain Many Compounds" (OSMAC) strategy, which involves altering microbial culture conditions, has proven to be particularly effective in mining numerous novel secondary metabolites for the past few years. Among these, microbial cyclic peptides stand out. These peptides often comprise rare amino acids, unique chemical structures, and remarkable biological function. With the advancement of the OSMAC strategy, a plethora of new cyclic peptides have been identified from diverse microbial genera. This work reviews the progress in mining novel compounds using the OSMAC strategy and the applications of this strategy in discovering 284 microbial cyclic peptides from 63 endophytic strains, aiming to offer insights for the further explorations into novel active cyclic peptides.
MeSH term(s)	Peptides, Cyclic/pharmacology ; Secondary Metabolism/genetics ; Multigene Family
Chemical Substances	Peptides, Cyclic
Language	English
Publishing date	2024-01-26
Publishing country	France
Document type	Journal Article ; Review
ZDB-ID	188597-2
ISSN	1768-3254 ; 0009-4374 ; 0223-5234
ISSN (online)	1768-3254
ISSN	0009-4374 ; 0223-5234
DOI	10.1016/j.ejmech.2024.116175
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Zs.B 784: Show issues

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Article ; Online: Editorial: Transcriptional and posttranscriptional homeostasis in inflammation and inflammatory diseases.

Wang, Xinyi / Liu, Yaoxin / Mo, Yuanxi / Tan, Ning / Huang, Wei / Feng, Yuliang / Jiang, Lei

Frontiers in immunology

2024 Volume 15, Page(s) 1391199

MeSH term(s)	Humans ; RNA Splicing ; Alternative Splicing ; Inflammation/genetics
Language	English
Publishing date	2024-03-06
Publishing country	Switzerland
Document type	Editorial ; Research Support, Non-U.S. Gov't
ZDB-ID	2606827-8
ISSN	1664-3224 ; 1664-3224
ISSN (online)	1664-3224
ISSN	1664-3224
DOI	10.3389/fimmu.2024.1391199
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Article: Noninvasive Methods for Detecting Advanced Liver Fibrosis and Cirrhosis in Patients with Chronic Hepatitis B: A Single-Center Retrospective Study.

Cheng, Ran / Tan, Ning / Luo, Hao / Kang, Qian / Xu, Xiaoyuan

Infection and drug resistance

2023 Volume 16, Page(s) 6323–6331

Abstract: Background and aims: The performance of noninvasive assessments to rule-in or rule-out fibrosis may improve when combined. We aimed to evaluate the efficiencies of sequential algorithms based on the aspartate aminotransferase-to-platelet ratio index ( ... ...

Abstract	Background and aims: The performance of noninvasive assessments to rule-in or rule-out fibrosis may improve when combined. We aimed to evaluate the efficiencies of sequential algorithms based on the aspartate aminotransferase-to-platelet ratio index (APRI), the fibrosis index based on four factors (FIB-4), and transient elastography (TE) for the assessment of advanced fibrosis (AF) and cirrhosis. Methods: This study enrolled 179 CHB subjects who underwent liver biopsy (LB) before antiviral treatment. Results: AF and cirrhosis were identified in 71 (39.7%) and 28 (15.7%) patients, respectively. Compared with TE alone, sequential FIB-4-TE and APRI-TE algorithms saved a slightly higher number of liver biopsies for the identification of advanced fibrosis (69.3% or 68.2% vs 63.7%, P=0.263 or P=0.372, respectively). For the identification of cirrhosis, sequential FIB-4-TE and APRI-TE algorithms saved a significantly higher number of liver biopsies than TE alone (83.2% or 88.3% vs 69.8%, P=0.003 or P=0.000, respectively). No significant difference was found between the sequential algorithms and TE alone in the diagnostic accuracy for the detection of AF and cirrhosis. Conclusion: The sequential algorithms could significantly reduce the need for liver biopsy with high accuracy for diagnosis of AF and cirrhosis in CHB patients, which would be optimal especially in resource-limited areas.
Language	English
Publishing date	2023-09-25
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2494856-1
ISSN	1178-6973
ISSN	1178-6973
DOI	10.2147/IDR.S426374
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