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Book ; Online: AI based Robot Safe Learning and Control

Zhou, Xuefeng / Xu, Zhihao / Li, Shuai / Wu, Hongmin / Cheng, Taobo / Lv, Xiaojing

2020

Author's details	by Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv
Keywords	Robotics ; Automation ; Control engineering ; Artificial intelligence ; Künstliche Intelligenz ; Robotik ; Maschinelles Lernen
Subject	Robotertechnik ; Robotics ; Artificial intelligence ; Computerunterstützte Intelligenz ; Maschinelle Intelligenz ; KI ; Algorithmisches Lernen ; Lernen ; Automated learning ; Machine learning
Subject code	629.892
Language	English
Size	1 Online-Ressource (XVII, 127 p. 42 illus., 35 illus. in color)
Edition	1st ed. 2020
Publisher	Springer Singapore ; Imprint: Springer
Publishing place	Singapore
Document type	Book ; Online
HBZ-ID	HT020521439
ISBN	978-981-15-5503-9 ; 9789811555022 ; 9789811555046 ; 9789811555053 ; 981-15-5503-6 ; 9811555028 ; 9811555044 ; 9811555052
DOI	10.1007/978-981-15-5503-9
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Identification of Co-Clusters with Coherent Trends in Geo-Referenced Time Series

Xiaojing Wu

ISPRS International Journal of Geo-Information, Vol 11, Iss 134, p

2022 Volume 134

Abstract: Several studies have worked on co-clustering analysis of spatio-temporal data. However, most of them search for co-clusters with similar values and are unable to identify co-clusters with coherent trends, defined as exhibiting similar tendencies in the ... ...

Abstract	Several studies have worked on co-clustering analysis of spatio-temporal data. However, most of them search for co-clusters with similar values and are unable to identify co-clusters with coherent trends, defined as exhibiting similar tendencies in the attributes. In this study, we present the Bregman co-clustering algorithm with minimum sum-squared residue (BCC_MSSR), which uses the residue to quantify coherent trends and enables the identification of co-clusters with coherent trends in geo-referenced time series. Dutch monthly temperatures over 20 years at 28 stations were used as the case study dataset. Station-clusters, month-clusters, and co-clusters in the BCC_MSSR results were showed and compared with co-clusters of similar values. A total of 112 co-clusters with different temperature variations were identified in the Results, and 16 representative co-clusters were illustrated, and seven types of coherent temperature trends were summarized: (1) increasing; (2) decreasing; (3) first increasing and then decreasing; (4) first decreasing and then increasing; (5) first increasing, then decreasing, and finally increasing; (6) first decreasing, then increasing, and finally decreasing; and (7) first decreasing, then increasing, decreasing, and finally increasing. Comparisons with co-clusters of similar values show that BCC_MSSR explored coherent spatio-temporal patterns in regions and certain time periods. However, the selection of the suitable co-clustering methods depends on the objective of specific tasks.
Keywords	co-clustering ; coherent trends ; The Netherlands ; temperature series ; data mining ; Geography (General) ; G1-922
Subject code	540 ; 550
Language	English
Publishing date	2022-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Implementation of Two-Stream Emission Model for L-Band Retrievals on the Tibetan Plateau

Xiaojing Wu

Remote Sensing, Vol 14, Iss 494, p

2022 Volume 494

Abstract: This study assesses the suitability of the two-stream microwave emission model in simulating brightness temperature ( T B p ) and retrieving liquid water content ( θ liq ) at L-band in combination with the four-phase dielectric model for both thawed and ... ...

Abstract	This study assesses the suitability of the two-stream microwave emission model in simulating brightness temperature ( T B p ) and retrieving liquid water content ( θ liq ) at L-band in combination with the four-phase dielectric model for both thawed and frozen soil. Both single (SCA) and double (DCA) channel algorithms are adopted using both ground-based ELBARA-III and spaceborne SMAP measurements conducted in a Tibetan grassland site. The ELBARA-III measured T B p are smaller than the SMAP measurements in the warm season due to a lower value of average θ liq presented within the ELBARA-III footprint. The two-stream emission model configured with SMAP vegetation and surface roughness parameterization underestimates both ELBARA-III and SMAP measured T B p at horizontal polarization in the cold season, and overestimates the vertical polarized measurements ( T B V ) in the warm season. Implementation of a new surface roughness and vegetation parameterization resolves above deficiency, and the simulations capture better large-scale SMAP measurements in comparison to these performed for the ELBARA-III footprint. The dynamics of in situ θ liq are better reproduced by retrievals using the SCA based on T B V measurements (SCA-V), whereby the SCA-V retrievals using the SMAP ascending overpass measurements shows the best results with an unbiased root-mean-square error (ubRMSE) of 0.035 m 3 m −3 that outperforms the SMAP mission specification.
Keywords	Soil Moisture Active Passive (SMAP) ; L-band microwave radiometry ; thawed and frozen soil conditions ; liquid water content ; grassland ; Tibetan Plateau ; Science ; Q
Subject code	333 ; 290
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Assessment of Effective Roughness Parameters for Simulating Sentinel-1A Observation and Retrieving Soil Moisture over Sparsely Vegetated Field

Xiaojing Wu

Remote Sensing, Vol 14, Iss 6020, p

2022 Volume 6020

Abstract: The variability of surface roughness may lead to relatively large dynamic of backscatter coefficient observed by the synthetic aperture radar (SAR), which complicates the soil moisture (SM) retrieval process based on active remote sensing. The effective ... ...

Abstract	The variability of surface roughness may lead to relatively large dynamic of backscatter coefficient observed by the synthetic aperture radar (SAR), which complicates the soil moisture (SM) retrieval process based on active remote sensing. The effective roughness parameters are commonly used for parameterizing the soil scattering models, the values of which are often assumed to be constant during different study periods for the same site. This paper investigates the reasonableness of this hypothesis from the perspective of backscatter coefficient simulation and SM retrieval using high resolution SAR data. Three years of Sentinel-1A data from 2016 to 2018 were collected over a sparsely vegetated field within the REMEDHUS SM monitoring network. The advanced integral equation model (AIEM) and Dobson dielectric mixing model were combined for optimizing the effective roughness parameters, as well as simulating the backscatter coefficient and retrieving the SM. The effective roughness parameters were optimized at different temporal periods, such as 2016, 2017, 2018, 2016 + 2017, 2017 + 2018, and 2016 + 2017 + 2018, to analyze their temporal dynamics. It was found that: (1) the effective roughness parameters optimized at different temporal periods are very close to each other; (2) the simulated backscatter from AIEM is consistent with Sentinel-1A observation with root mean square errors (RMSEs) between 1.133 and 1.163 dB and correlation coefficient ® value equals to 0.616; (3) the seasonal dynamics ofin situ SM is well-captured by the retrieved SM with R values floating at 0.685 and RMSEs ranging from 0.049 to 0.052 m 3 /m 3 and (4) inverse of the AIEM with the implementation of effective roughness parameters achieves better performance for SM retrieval than the change detection method. These findings demonstrate that the assumption on the constant effective roughness parameters during the study period of at least three years is reasonable.
Keywords	SM retrieval ; Sentinel-1 ; AIEM ; effective roughness ; change detection ; Science ; Q
Subject code	550
Language	English
Publishing date	2022-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: AI based Robot Safe Learning and Control

Zhou, Xuefeng / Xu, Zhihao / Li, Shuai / Wu, Hongmin / Cheng, Taobo / Lv, Xiaojing

2020

Abstract: This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the ... ...

Abstract	This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors' papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, et cetera This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities
Keywords	Agriculture (General) ; Information technology ; Künstliche Intelligenz ; Robotik ; Maschinelles Lernen
Subject	Algorithmisches Lernen ; Lernen ; Automated learning ; Machine learning ; Robotertechnik ; Robotics ; Artificial intelligence ; Computerunterstützte Intelligenz ; Maschinelle Intelligenz ; KI
Size	1 electronic resource (127 pages)
Publisher	Springer Nature
Document type	Book ; Online
Note	English ; Open Access
HBZ-ID	HT020589656
ISBN	9789811555039 ; 9811555036
DOI	10.1007/978-981-15-5503-9
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Identification and characterization of an ene-reductase from Corynebacterium casei.

Wu, Shijin / Ma, Xiaojing / Yan, Hongde

International journal of biological macromolecules

2024 Volume 264, Issue Pt 1, Page(s) 130427

Abstract: The asymmetric reduction of α, β-unsaturated compounds conjugated with electron-withdrawing group by ene-reductases (ERs) is a valuable method for the synthesis of enantiopure chiral compounds. This study introduced an ER from Corynebacterium casei (CcER) ...

Abstract	The asymmetric reduction of α, β-unsaturated compounds conjugated with electron-withdrawing group by ene-reductases (ERs) is a valuable method for the synthesis of enantiopure chiral compounds. This study introduced an ER from Corynebacterium casei (CcER) which was heterologously expressed in Escherichia coli BL21(DE3), and the purified recombinant CcER was characterized for its biocatalytic properties. CcER exhibited the highest specific activity at 40 °C and pH 6.5, and showcased appreciable stability below 40 °C over a pH range of 6.0-7.0. The enzyme displayed high resistance to methanol. CcER accepted NADH or NADPH as a cofactor and exhibited a broad substrate spectrum towards α, β-unsaturated compounds. It achieved complete conversion of 2-cyclohexen-1-one and good performance for stereoselective reduction of (R)-carvone (conversion 98 %, diastereoselectivity 96 %). This study highlights the robustness and potential of CcER.
MeSH term(s)	Oxidoreductases/metabolism ; NADP/metabolism ; Substrate Specificity ; Corynebacterium
Chemical Substances	Oxidoreductases (EC 1.-) ; NADP (53-59-8)
Language	English
Publishing date	2024-02-29
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.2024.130427
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Article: Identification of Co-Clusters with Coherent Trends in Geo-Referenced Time Series

Wu, Xiaojing

ISPRS international journal of geo-information. 2022 Feb. 15, v. 11, no. 2

2022

Abstract	Several studies have worked on co-clustering analysis of spatio-temporal data. However, most of them search for co-clusters with similar values and are unable to identify co-clusters with coherent trends, defined as exhibiting similar tendencies in the attributes. In this study, we present the Bregman co-clustering algorithm with minimum sum-squared residue (BCC_MSSR), which uses the residue to quantify coherent trends and enables the identification of co-clusters with coherent trends in geo-referenced time series. Dutch monthly temperatures over 20 years at 28 stations were used as the case study dataset. Station-clusters, month-clusters, and co-clusters in the BCC_MSSR results were showed and compared with co-clusters of similar values. A total of 112 co-clusters with different temperature variations were identified in the Results, and 16 representative co-clusters were illustrated, and seven types of coherent temperature trends were summarized: (1) increasing; (2) decreasing; (3) first increasing and then decreasing; (4) first decreasing and then increasing; (5) first increasing, then decreasing, and finally increasing; (6) first decreasing, then increasing, and finally decreasing; and (7) first decreasing, then increasing, decreasing, and finally increasing. Comparisons with co-clusters of similar values show that BCC_MSSR explored coherent spatio-temporal patterns in regions and certain time periods. However, the selection of the suitable co-clustering methods depends on the objective of specific tasks.
Keywords	algorithms ; case studies ; data collection ; georeferencing ; spatial data ; temperature ; time series analysis
Language	English
Dates of publication	2022-0215
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2655790-3
ISSN	2220-9964
ISSN	2220-9964
DOI	10.3390/ijgi11020134
Database	NAL-Catalogue (AGRICOLA)

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Article: Implementation of Two-Stream Emission Model for L-Band Retrievals on the Tibetan Plateau

Wu, Xiaojing

Remote Sensing. 2022 Jan. 20, v. 14, no. 3

2022

Abstract: This study assesses the suitability of the two-stream microwave emission model in simulating brightness temperature (TBᵖ) and retrieving liquid water content (θₗᵢq) at L-band in combination with the four-phase dielectric model for both thawed and frozen ... ...

Abstract	This study assesses the suitability of the two-stream microwave emission model in simulating brightness temperature (TBᵖ) and retrieving liquid water content (θₗᵢq) at L-band in combination with the four-phase dielectric model for both thawed and frozen soil. Both single (SCA) and double (DCA) channel algorithms are adopted using both ground-based ELBARA-III and spaceborne SMAP measurements conducted in a Tibetan grassland site. The ELBARA-III measured TBᵖ are smaller than the SMAP measurements in the warm season due to a lower value of average θₗᵢq presented within the ELBARA-III footprint. The two-stream emission model configured with SMAP vegetation and surface roughness parameterization underestimates both ELBARA-III and SMAP measured TBᵖ at horizontal polarization in the cold season, and overestimates the vertical polarized measurements (TBⱽ) in the warm season. Implementation of a new surface roughness and vegetation parameterization resolves above deficiency, and the simulations capture better large-scale SMAP measurements in comparison to these performed for the ELBARA-III footprint. The dynamics of in situ θₗᵢq are better reproduced by retrievals using the SCA based on TBⱽ measurements (SCA-V), whereby the SCA-V retrievals using the SMAP ascending overpass measurements shows the best results with an unbiased root-mean-square error (ubRMSE) of 0.035 m³ m⁻³ that outperforms the SMAP mission specification.
Keywords	cold season ; frozen soils ; grasslands ; liquids ; models ; surface roughness ; temperature ; warm season ; water content ; China
Language	English
Dates of publication	2022-0120
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs14030494
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Authors' reply: 'Letter to the Editor concerning Peihui Wu et al. In Brain, behavior & immunity 2024; 117:412-427'.

Wu, Peihui / Li, Wenchang / Lin, Wei-Jye / Ye, Xiaojing

Brain, behavior, and immunity

2024 Volume 118, Page(s) 523–525

MeSH term(s)	Brain
Language	English
Publishing date	2024-03-21
Publishing country	Netherlands
Document type	Letter
ZDB-ID	639219-2
ISSN	1090-2139 ; 0889-1591
ISSN (online)	1090-2139
ISSN	0889-1591
DOI	10.1016/j.bbi.2024.03.025
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Zs.MO 327: Show issues

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Article: Exosomes: efficient macrophage-related immunomodulators in chronic lung diseases.

Kang, Jianxiong / Hua, Peiyan / Wu, Xiaojing / Wang, Bin

Frontiers in cell and developmental biology

2024 Volume 12, Page(s) 1271684

Abstract: Macrophages, the predominant immune cells in the lungs, play a pivotal role in maintaining the delicate balance of the pulmonary immune microenvironment. However, in chronic inflammatory lung diseases and lung cancer, macrophage phenotypes undergo ... ...

Abstract	Macrophages, the predominant immune cells in the lungs, play a pivotal role in maintaining the delicate balance of the pulmonary immune microenvironment. However, in chronic inflammatory lung diseases and lung cancer, macrophage phenotypes undergo distinct transitions, with M1-predominant macrophages promoting inflammatory damage and M2-predominant macrophages fostering cancer progression. Exosomes, as critical mediators of intercellular signaling and substance exchange, participate in pathological reshaping of macrophages during development of pulmonary inflammatory diseases and lung cancer. Specifically, in inflammatory lung diseases, exosomes promote the pro-inflammatory phenotype of macrophages, suppress the anti-inflammatory phenotype, and subsequently, exosomes released by reshaped macrophages further exacerbate inflammatory damage. In cancer, exosomes promote pro-tumor tumor-associated macrophages (TAMs); inhibit anti-tumor TAMs; and exosomes released by TAMs further enhance tumor proliferation, metastasis, and resistance to chemotherapy. Simultaneously, exosomes exhibit a dual role, holding the potential to transmit immune-modulating molecules and load therapeutic agents and offering prospects for restoring immune dysregulation in macrophages during chronic inflammatory lung diseases and lung cancer. In chronic inflammatory lung diseases, this is manifested by exosomes reshaping anti-inflammatory macrophages, inhibiting pro-inflammatory macrophages, and alleviating inflammatory damage post-reshaping. In lung cancer, exosomes reshape anti-tumor macrophages, inhibit pro-tumor macrophages, and reshaped macrophages secrete exosomes that suppress lung cancer development. Looking ahead, efficient and targeted exosome-based therapies may emerge as a promising direction for treatment of pulmonary diseases.
Language	English
Publishing date	2024-04-09
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2737824-X
ISSN	2296-634X
ISSN	2296-634X
DOI	10.3389/fcell.2024.1271684
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