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Book ; Online: Fast Non-destructive Detection Technology and Equipment for Food Quality and Safety

Guo, Zhiming / Zhang, Zhao / Hu, Dong / Zhang, Zhao

2023

Keywords	Research & information: general ; Biology, life sciences ; Technology, engineering, agriculture ; maize ; moldy level ; catalase activity ; hyperspectral image ; data fusion ; feature selection ; fruit quality monitoring ; room-temperature ethylene sensor ; density functional theory ; adsorption energy ; band energy alignment ; apple ; NIR ; size correction ; extinction coefficient ; fruit diameter difference ; acceptability ; benchtop NMR ; mandarins ; NMR ; successive projective algorithm ; uninformative variable elimination ; support vector regression ; Korla fragrant pear ; stone cell content ; intelligent evaluation ; cultivation ; visible/near infrared spectrum ; fresh jujube ; model update ; variable fusion ; defective apples ; apple grading ; deep learning ; object detection ; semantic segmentation ; shrimp ; hot air drying ; quality change ; hyperspectral images ; low field magnetic resonance ; micro Raman ; microfluidic chip ; fungal spores ; crop disease ; numerical simulation ; degree of milling ; multi-scale information fusion ; residual network model ; Bayesian optimization algorithm ; hyperspectral imaging ; maize seeds ; defect detection ; convolutional neural network ; tomato ; leaf mildew ; terahertz time-domain spectroscopy ; near infrared hyperspectral technology ; multi-source information fusion ; YOLOv5 ; walnut kernels ; impurities detection ; small object detection ; liposomes ; high stability ; freshness ; bi-layer indicator ; light penetration depth ; spatial-frequency domain imaging ; depth-resolved ; bruise ; scattering ; near infrared spectroscopy ; vegetables ; anthocyanidins ; fast determination ; Curcumae Longae Rhizoma ; volatile oil ; 60Co ; GC-IMS ; SERS detection ; chromium contamination ; tea sample ; carbimazole hydrolysate ; Au@Ag nanoparticles ; PAEs ; Raman ; DFT ; HF ; theoretical study ; gas sensor ; spoilage monitoring ; early warning ; logistics control ; simulated annealing ; surface-enhanced Raman spectroscopy ; flexible substrate ; polycyclic aromatic hydrocarbons ; in situ detection ; common carp ; texture ; machine learning ; visualization ; n/a
Language	English
Size	1 electronic resource (348 pages)
Publisher	MDPI - Multidisciplinary Digital Publishing Institute
Publishing place	Basel
Document type	Book ; Online
Note	English
HBZ-ID	HT030649811
ISBN	9783036593258 ; 303659325X
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book ; Online: Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

Zhao, Zhiming / Hellström, Margareta

A Reference Model Guided Approach for Common Challenges

(Information Systems and Applications, incl. Internet/Web, and HCI ; 12003)

2020

Author's details	edited by Zhiming Zhao, Margareta Hellström
Series title	Information Systems and Applications, incl. Internet/Web, and HCI ; 12003
Keywords	Application software ; Environment ; Special purpose computers ; Computers ; Software engineering ; Geography ; Umweltwissenschaften ; Informatik ; Geografie
Subject	Geographie ; Allgemeine Geographie ; Geographische Landeskunde ; Erdkunde ; Allgemeine Geografie ; Geografische Landeskunde ; Computerwissenschaft
Subject code	004
Language	English
Size	1 Online-Ressource (X, 373 p. 124 illus., 101 illus. in color)
Edition	1st ed. 2020
Publisher	Springer International Publishing ; Imprint: Springer
Publishing place	Cham
Document type	Book ; Online
HBZ-ID	HT020544225
ISBN	978-3-030-52829-4 ; 9783030528287 ; 9783030528300 ; 3-030-52829-4 ; 3030528286 ; 3030528308
DOI	10.1007/978-3-030-52829-4
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book ; Online: Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

Zhao, Zhiming / Hellström, Margareta

2020

Abstract: This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with ... ...

Abstract	This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a 'reference model guided' engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and earth sciences. The 20 contributions in this book are structured in 5 parts on the design, development, deployment, operation and use of research infrastructures. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions
Keywords	Information technology ; Environmental sciences ; Geography (General) ; Umweltwissenschaften ; Informatik ; Geografie
Subject	Geographie ; Allgemeine Geographie ; Geographische Landeskunde ; Erdkunde ; Allgemeine Geografie ; Geografische Landeskunde ; Computerwissenschaft
Size	1 electronic resource (373 pages)
Publisher	Springer Nature
Document type	Book ; Online
Note	English ; Open Access
HBZ-ID	HT020676426
ISBN	9783030528294 ; 3030528294
DOI	10.1007/978-3-030-52829-4
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Preparation of Mesophase Pitch through Supercritical Fluid Extraction of Coal Tar Pitch.

Wei, Meng / Xu, Zhiming / Zhao, Suoqi

ACS omega

2024 Volume 9, Issue 6, Page(s) 6837–6844

Abstract: This paper explores the preparation of mesophase pitch by employing supercritical fluid extraction on coal tar pitch sourced from a coal chemical company. The raw material undergoes pretreatment using various extraction solvents, and the resulting ... ...

Abstract	This paper explores the preparation of mesophase pitch by employing supercritical fluid extraction on coal tar pitch sourced from a coal chemical company. The raw material undergoes pretreatment using various extraction solvents, and the resulting refined components are thermally polycondensed in a laboratory microreactor to create mesophase pitch. Qualitative and quantitative analyses of the mesophase pitch's structure are conducted through polarized light microscopy, X-ray diffraction (XRD), scanning electron microscopy (SEM), Raman spectroscopy, and other analytical methods to identify an optimal supercritical fluid extraction pretreatment solvent for coal tar pitch. The results reveal that using
Language	English
Publishing date	2024-02-02
Publishing country	United States
Document type	Journal Article
ISSN	2470-1343
ISSN (online)	2470-1343
DOI	10.1021/acsomega.3c08206
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Sustainable Dual-Ion Batteries beyond Li.

Zhao, Zhiming / Alshareef, Husam N

Advanced materials (Deerfield Beach, Fla.)

2023 Volume 36, Issue 7, Page(s) e2309223

Abstract: The limitations of resources used in current Li-ion batteries may hinder their widespread use in grid-scale energy storage systems, prompting the search for low-cost and resource-abundant alternatives. "Beyond-Li cation" batteries have emerged as ... ...

Abstract	The limitations of resources used in current Li-ion batteries may hinder their widespread use in grid-scale energy storage systems, prompting the search for low-cost and resource-abundant alternatives. "Beyond-Li cation" batteries have emerged as promising contenders; however, they confront noteworthy challenges due to the scarcity of suitable host materials for these cations. In contrast, anions, the other crucial component in electrolytes, demonstrate reversible intercalation capacity in specific materials like graphite. The convergence of anion and cation storage has given rise to a new battery technology known as dual-ion batteries (DIBs). This comprehensive review presents the current status, advancements, and future prospects of sustainable DIBs beyond Li. Notably, most DIBs exhibit similar cathode reaction mechanisms involving anion intercalation, while the distinguishing factor lies in the cation types functioning at the anode. Accordingly, the review is organized into sections by various cation types, including Na-, K-, Mg-, Zn-, Ca-, Al-, NH
Language	English
Publishing date	2023-12-03
Publishing country	Germany
Document type	Journal Article ; Review
ZDB-ID	1474949-X
ISSN	1521-4095 ; 0935-9648
ISSN (online)	1521-4095
ISSN	0935-9648
DOI	10.1002/adma.202309223
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Unraveling the Impact of Curvature on Electrocatalytic Performance of Carbon Materials: A State-of-the-Art Review.

Wen, Hui / Zhao, Zhiyong / Luo, Zhiming / Wang, Congwei

ChemSusChem

2024 , Page(s) e202301859

Abstract: Curvature of carbon materials has gained significant attention as catalysts due to their distinctive properties and potential applications. This review comprehensively summarizes how the bending of carbon materials can improve electrocatalytic ... ...

Abstract	Curvature of carbon materials has gained significant attention as catalysts due to their distinctive properties and potential applications. This review comprehensively summarizes how the bending of carbon materials can improve electrocatalytic performance, with special attention to the applications of various bent carbon materials (such as carbon nanotubes, graphene, and fullerene) in electrocatalysts and a large number of related density functional theory (DFT) theoretical calculations. Extensive mechanism research has provided a wealth of evidence indicating that the curvature of carbon materials has a profound impact on catalytic activity. This improvement in catalytic performance by curved carbon materials is attributed to factors like a larger active surface area, modulation of electronic structure, and better dispersal of catalytic active sites. A comprehensive understanding and utilization of these effects enable the design of highly efficient carbon-based catalysts for applications in energy conversion, environmental remediation, and chemical synthesis.
Language	English
Publishing date	2024-01-21
Publishing country	Germany
Document type	Journal Article ; Review
ISSN	1864-564X
ISSN (online)	1864-564X
DOI	10.1002/cssc.202301859
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Efficient Loading and Sustained Delivery of Methotrexate Using a Tip-Swellable Microneedle Array Patch for Psoriasis Treatment.

Zhao, Puxuan / Li, Zhiming / Ling, Zhixin / Zheng, Yanting / Chang, Hao

ACS biomaterials science & engineering

2024 Volume 10, Issue 2, Page(s) 921–931

Abstract: Methotrexate (MTX), a primary treatment for moderate to severe psoriasis, is limited in clinical use due to suboptimal results and severe side effects from subcutaneous (SC) injection and oral administration. Microneedles offer a promising alternative ... ...

Abstract	Methotrexate (MTX), a primary treatment for moderate to severe psoriasis, is limited in clinical use due to suboptimal results and severe side effects from subcutaneous (SC) injection and oral administration. Microneedles offer a promising alternative for direct MTX delivery to targeted skin lesions, but issues such as drug wastage, dosage inaccuracy, and limited drug residence time in the lesions remain. This study introduces a tip-swellable microneedle array patch (TSMAP) using photo-cross-linked methacrylated hyaluronic acid (MeHA) and biocompatible resin for effective MTX loading and sustained delivery. A two-cast micromolding with vacuum drying is employed to concentrate cross-linked MeHA in about 30% of the needle's height at the tip, thereby ensuring that only the TSMAP tip swells. Efficient MTX loading into TSMAP tips is achieved through a 30 s drug solution immersion and 10 min drying, potentially minimizing drug waste from incomplete skin insertion due to skin elasticity. The MTX-loaded TSMAP effectively penetrates both porcine and psoriasis-like mouse skin with its tips detaching from the resin substrate and embedding deeply into the skin tissue, thereby functioning as a drug release reservoir. TSMAP significantly prolongs drug retention in skin compared with SC injection and dissolvable microneedles. The in vivo study demonstrates that TSMAP-mediated MTX delivery substantially enhances therapeutic outcomes in alleviating psoriasis symptoms and downregulating psoriasis-associated cytokines, outperforming oral administration, SC injection, and dissolvable microneedles. Thus, TSMAP could offer an efficient and user-friendly alternative for drug administration in the treatment of various skin diseases.
MeSH term(s)	Mice ; Animals ; Swine ; Methotrexate/therapeutic use ; Administration, Cutaneous ; Drug Delivery Systems/methods ; Skin ; Psoriasis/drug therapy
Chemical Substances	Methotrexate (YL5FZ2Y5U1)
Language	English
Publishing date	2024-01-30
Publishing country	United States
Document type	Journal Article
ISSN	2373-9878
ISSN (online)	2373-9878
DOI	10.1021/acsbiomaterials.3c01810
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Two-dimensional speckle-tracking echocardiography in left ventricular systolic function in patients with systemic lupus erythematosus.

Liu, Yuhong / Yin, Shanshan / Lin, Zhiming / Zhao, Changlin / Zhang, Hui

Clinical rheumatology

2024

Abstract: Objectives: To investigate whether two-dimensional speckle-tracking echocardiography (2DSTE) can be considered a criterion for early left ventricular (LV) systolic impairment in patients with systemic lupus erythematosus (SLE) and to further explore the ...

Abstract	Objectives: To investigate whether two-dimensional speckle-tracking echocardiography (2DSTE) can be considered a criterion for early left ventricular (LV) systolic impairment in patients with systemic lupus erythematosus (SLE) and to further explore the association with each other. Methods: We included 38 patients with SLE and assessed the degree of disease activity according to the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) 2000 scoring criteria, together with 38 healthy controls who were matched by sex and age. Routine LV systolic function evaluation parameters were obtained by echocardiography as well as 2DSTE measurement of LV strain parameters to obtain global longitudinal strain (GLS) values, respectively. Results: (I) On routine LV function parameters such as ejection fractions (EF) and left ventricular end-diastolic internal diameter (LVIDd), the SLE group and the control group did not reflect differences. In contrast, on the LV strain parameter obtained from 2DSTE measurements, the GLS values in all cardiac planes were lower in the SLE group than in the control group and showed statistically significant differences. (II) Correlation analysis showed that there was a correlation between SLEDAI and GLS, especially a meaningful correlation with GLS Avg and GLS A4C, with correlation coefficients of 0.35 and 0.47, respectively. Conclusions: The use of 2DSTE can detect early impaired LV systolic function in SLE patients, and GLS is progressively gaining attention as an indicator of subclinical myocardial injury and LV function in SLE patients. The correlation that exists between GLS and SLEDAI might contribute to a better assessment of cardiac involvement in SLE patients. Key Points • Cardiac involvement has become one of the major factors in the poor prognosis of SLE patients, which directly affects the mortality of SLE patients. Traditional echocardiography is difficult to detect early left ventricular function impairment, thus affecting clinicians' judgment and diagnosis. • 2DSTE can recognize subclinical myocardial injury in SLE patients at an early stage, and its derived strain parameters may be used as an indicator to evaluate myocardial involvement and reflect disease activity in SLE patients.
Language	English
Publishing date	2024-04-23
Publishing country	Germany
Document type	Journal Article
ZDB-ID	604755-5
ISSN	1434-9949 ; 0770-3198
ISSN (online)	1434-9949
ISSN	0770-3198
DOI	10.1007/s10067-024-06929-0
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Article ; Online: A learning-based synthesis approach of reward asynchronous probabilistic games against the linear temporal logic winning condition

Wei Zhao / Zhiming Liu

PeerJ Computer Science, Vol 8, p e

2022 Volume 1094

Abstract: The traditional synthesis problem is usually solved by constructing a system that fulfills given specifications. The system is constantly interacting with the environment and is opposed to the environment. The problem can be further regarded as solving a ...

Abstract	The traditional synthesis problem is usually solved by constructing a system that fulfills given specifications. The system is constantly interacting with the environment and is opposed to the environment. The problem can be further regarded as solving a two-player game (the system and its environment). Meanwhile, stochastic games are often used to model reactive processes. With the development of the intelligent industry, these theories are extensively used in robot patrolling, intelligent logistics, and intelligent transportation. However, it is still challenging to find a practically feasible synthesis algorithm and generate the optimal system according to the existing research. Thus, it is desirable to design an incentive mechanism to motivate the system to fulfill given specifications. This work studies the learning-based approach for strategy synthesis of reward asynchronous probabilistic games against linear temporal logic (LTL) specifications in a probabilistic environment. An asynchronous reward mechanism is proposed to motivate players to gain maximized rewards by their positions and choose actions. Based on this mechanism, the techniques of the learning theory can be applied to transform the synthesis problem into the problem of computing the expected rewards. Then, it is proven that the reinforcement learning algorithm provides the optimal strategies that maximize the expected cumulative reward of the satisfaction of an LTL specification asymptotically. Finally, our techniques are implemented, and their effectiveness is illustrated by two case studies of robot patrolling and autonomous driving.
Keywords	Strategy synthesis ; Reward mechanism ; Reinforcement learning ; Linear temporal logic ; Expected cumulative reward ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	004 ; 629
Language	English
Publishing date	2022-09-01T00:00:00Z
Publisher	PeerJ Inc.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: SurgNet: Self-Supervised Pretraining With Semantic Consistency for Vessel and Instrument Segmentation in Surgical Images.

Chen, Jiachen / Li, Mengyang / Han, Hu / Zhao, Zhiming / Chen, Xilin

IEEE transactions on medical imaging

2024 Volume 43, Issue 4, Page(s) 1513–1525

Abstract: Blood vessel and surgical instrument segmentation is a fundamental technique for robot-assisted surgical navigation. Despite the significant progress in natural image segmentation, surgical image-based vessel and instrument segmentation are rarely ... ...

Abstract	Blood vessel and surgical instrument segmentation is a fundamental technique for robot-assisted surgical navigation. Despite the significant progress in natural image segmentation, surgical image-based vessel and instrument segmentation are rarely studied. In this work, we propose a novel self-supervised pretraining method (SurgNet) that can effectively learn representative vessel and instrument features from unlabeled surgical images. As a result, it allows for precise and efficient segmentation of vessels and instruments with only a small amount of labeled data. Specifically, we first construct a region adjacency graph (RAG) based on local semantic consistency in unlabeled surgical images and use it as a self-supervision signal for pseudo-mask segmentation. We then use the pseudo-mask to perform guided masked image modeling (GMIM) to learn representations that integrate structural information of intraoperative objectives more effectively. Our pretrained model, paired with various segmentation methods, can be applied to perform vessel and instrument segmentation accurately using limited labeled data for fine-tuning. We build an Intraoperative Vessel and Instrument Segmentation (IVIS) dataset, comprised of ~3 million unlabeled images and over 4,000 labeled images with manual vessel and instrument annotations to evaluate the effectiveness of our self-supervised pretraining method. We also evaluated the generalizability of our method to similar tasks using two public datasets. The results demonstrate that our approach outperforms the current state-of-the-art (SOTA) self-supervised representation learning methods in various surgical image segmentation tasks.
MeSH term(s)	Semantics ; Surgery, Computer-Assisted ; Image Processing, Computer-Assisted ; Supervised Machine Learning
Language	English
Publishing date	2024-04-03
Publishing country	United States
Document type	Journal Article
ZDB-ID	622531-7
ISSN	1558-254X ; 0278-0062
ISSN (online)	1558-254X
ISSN	0278-0062
DOI	10.1109/TMI.2023.3341948
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