LIVIVO - Search results -

Search results

Result 1 - 10 of total 312

Search options

Book ; Online: Genome Mining and Marine Microbial Natural Products

Dobson, Alan / Zhang, Changsheng / Hong, Kui

2020

Abstract: Two review papers, eight research articles, and one brief report were published in this Special Issue. They showed the rich resources that are present within the genomes of marine microorganisms and discussed the use of recently developed tools and ... ...

Abstract	Two review papers, eight research articles, and one brief report were published in this Special Issue. They showed the rich resources that are present within the genomes of marine microorganisms and discussed the use of recently developed tools and technologies to exploit this genetic richness. Examples include the rational supply of precursors according to the relevant biosynthetic pathway and stress driven discovery together with the use of histone deacetylase inhibitors to facilitate the discovery of new bioactive molecules with potential biopharmaceutical applications. We believe that the content of this Special Issue reflects the current state-of-the-art research in this area and highlights the interesting strategies that are being employed to uncover increasing numbers of exciting novel compounds for drug discovery from marine genetic resources
Keywords	Microbiology ; Biology (General) ; Science (General)
Size	1 electronic resource (202 pages)
Publisher	MDPI - Multidisciplinary Digital Publishing Institute
Document type	Book ; Online
Note	eng ; Open Access
HBZ-ID	HT020395282
ISBN	9783039280902 ; 9783039280919 ; 3039280902 ; 3039280910
DOI	10.3390/books978-3-03928-091-9
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: A Multi-Objective Carnivorous Plant Algorithm for Solving Constrained Multi-Objective Optimization Problems.

Yang, Yufei / Zhang, Changsheng

Biomimetics (Basel, Switzerland)

2023 Volume 8, Issue 2

Abstract: Satisfying various constraints and multiple objectives simultaneously is a significant challenge in solving constrained multi-objective optimization problems. To address this issue, a new approach is proposed in this paper that combines multi-population ... ...

Abstract	Satisfying various constraints and multiple objectives simultaneously is a significant challenge in solving constrained multi-objective optimization problems. To address this issue, a new approach is proposed in this paper that combines multi-population and multi-stage methods with a Carnivorous Plant Algorithm. The algorithm employs the ϵ-constraint handling method, with the ϵ value adjusted according to different stages to meet the algorithm's requirements. To improve the search efficiency, a cross-pollination is designed based on the trapping mechanism and pollination behavior of carnivorous plants, thus balancing the exploration and exploitation abilities and accelerating the convergence speed. Moreover, a quasi-reflection learning mechanism is introduced for the growth process of carnivorous plants, enhancing the optimization efficiency and improving its global convergence ability. Furthermore, the quadratic interpolation method is introduced for the reproduction process of carnivorous plants, which enables the algorithm to escape from local optima and enhances the optimization precision and convergence speed. The proposed algorithm's performance is evaluated on several test suites, including DC-DTLZ, FCP, DASCMOP, ZDT, DTLZ, and RWMOPs. The experimental results indicate competitive performance of the proposed algorithm over the state-of-the-art constrained multi-objective optimization algorithms.
Language	English
Publishing date	2023-03-26
Publishing country	Switzerland
Document type	Journal Article
ISSN	2313-7673
ISSN (online)	2313-7673
DOI	10.3390/biomimetics8020136
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: A new breast phantom suitable for digital mammography, contrast-enhanced digital mammography and digital breast tomosynthesis.

Zhang, Changsheng / Fu, Jian

Physics in medicine and biology

2023 Volume 68, Issue 4

Abstract: Our objective is to report a new breast phantom that provides the objective assessment for three types of clinical mammography, i.e. digital mammography (DM), contrast-enhanced digital mammography (CEDM), and digital breast tomosynthesis (DBT). The ... ...

Abstract	Our objective is to report a new breast phantom that provides the objective assessment for three types of clinical mammography, i.e. digital mammography (DM), contrast-enhanced digital mammography (CEDM), and digital breast tomosynthesis (DBT). The tissue-equivalent materials are used to represent the corresponding tissue, and the layer-by-layer structure with separate regions is designed for image quality assessment of different mammography modes. For DM imaging, substitutes for microcalcifications and fibroglandular tissue of different sizes are used to simulate the conventional breast. For CEDM imaging, the tumor module that can be injected with imaging contrast agents is adopted to distinguish normal tissue and diseased tissue in the dense breast. For DBT imaging, the overlapping breast mass module with multiple layers is designed to perform the layer-by-layer imaging of overlapping tissue. In addition, the quantitative assessment module of image quality is designed based on contrast-to-noise ratio, modulation transfer function and artifact spread function. This phantom allows image quality to be evaluated objectively for three different types of the clinical mammography, while it provides an effective tool for optimizing the dose-image quality relationship of patients.
MeSH term(s)	Humans ; Female ; Mammography/methods ; Breast Density ; Breast Neoplasms/diagnostic imaging ; Breast Neoplasms/pathology ; Breast/diagnostic imaging ; Breast/pathology ; Phantoms, Imaging ; Radiographic Image Enhancement/methods
Language	English
Publishing date	2023-02-14
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	208857-5
ISSN	1361-6560 ; 0031-9155
ISSN (online)	1361-6560
ISSN	0031-9155
DOI	10.1088/1361-6560/acb636
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 199: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Benchmark for welding gun fault prediction with multivariate time series data.

Wang, Xiaoye / Zhang, Changsheng / Wang, Tao

Scientific data

2024 Volume 11, Issue 1, Page(s) 83

Abstract: In the automotive industry, machinery failures of the resistance spot welding (RSW) guns would interrupt the manufacturing lines and cause unplanned downtime, potentially resulting in a significant loss of production and reliability. Predicting the ... ...

Abstract	In the automotive industry, machinery failures of the resistance spot welding (RSW) guns would interrupt the manufacturing lines and cause unplanned downtime, potentially resulting in a significant loss of production and reliability. Predicting the machinery failures of the RSW gun can provide more scientific strategies for predictive maintenance and decision-making. However, fault prediction of RSW guns has become increasingly challenging due to their complex behavior and data variability. In this paper, we created a benchmark dataset and proposed welding gun fault prediction benchmarks to aid in the development of machine learning approaches toward welding gun fault prediction. The dataset was collected at the Body-Shop (BS) of BMW Brilliance Automotive Ltd. from different components of hundreds of RSW guns to capture the patterns and trends before welding errors with historical data. Then we provide state-of-the-art machine learning (ML) benchmarks on time series forecasting methods in a welding gun fault prediction use case. This study will provide insights for time series forecasting while enabling ML researchers to contribute towards the fault prediction of the RSW guns.
Language	English
Publishing date	2024-01-18
Publishing country	England
Document type	Dataset ; Journal Article
ZDB-ID	2775191-0
ISSN	2052-4463 ; 2052-4463
ISSN (online)	2052-4463
ISSN	2052-4463
DOI	10.1038/s41597-024-02914-z
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Naturally Occurring and Widespread Resistance to Bioactive Natural Products.

Tan, Bin / Zhang, Qingbo / Zhang, Liping / Zhu, Yiguang / Zhang, Changsheng

ChemMedChem

2024 Volume 19, Issue 3, Page(s) e202300619

Abstract: Naturally occurring resistances diminish the effectiveness of antibiotics, and present significant challenges to human health. Human activities are usually considered as the main drivers of the dissemination of antibiotic resistance, however, the origin ... ...

Abstract	Naturally occurring resistances diminish the effectiveness of antibiotics, and present significant challenges to human health. Human activities are usually considered as the main drivers of the dissemination of antibiotic resistance, however, the origin of the clinical antibiotic resistance can be traced to the environmental microbes, and the clinically relevant resistance determinants have already pre-existed in nature before the antibiotics come into clinic. In this concept, we present the naturally occurring and widespread resistance determinants recently discovered during the biosynthesis study of bioactive compounds. These widely prevalent resistances in environmental microbes, including antibiotic producers and non-producers, advance the understanding of the origin of resistance, and provide prediction for the clinically relevant resistance to aid in the rational design of more effective drug analogues to combat resistance.
MeSH term(s)	Humans ; Biological Products/pharmacology ; Anti-Bacterial Agents/pharmacology ; Drug Resistance, Microbial
Chemical Substances	Biological Products ; Anti-Bacterial Agents
Language	English
Publishing date	2024-01-12
Publishing country	Germany
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2218496-X
ISSN	1860-7187 ; 1860-7179
ISSN (online)	1860-7187
ISSN	1860-7179
DOI	10.1002/cmdc.202300619
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 6280: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article ; Online: Non-enzymatic synthesis of

De, Bidhan Chandra / Yang, Chunfang / Huang, Chunshuai / Zhang, Changsheng / Zhang, Wenjun

Organic & biomolecular chemistry

2024 Volume 22, Issue 6, Page(s) 1152–1156

Abstract: ... ...

Abstract	Two
MeSH term(s)	Methylation ; Magnetic Resonance Spectroscopy
Language	English
Publishing date	2024-02-07
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2097583-1
ISSN	1477-0539 ; 1477-0520
ISSN (online)	1477-0539
ISSN	1477-0520
DOI	10.1039/d3ob01920a
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Icariin relieves sevoflurane-induced cognitive dysfunction in mice

LEI Jian, ZHANG Chang-sheng, WU Bao

Jichu yixue yu linchuang, Vol 42, Iss 10, Pp 1497-

2022 Volume 1503

Abstract: Objective To evaluate the effect of icariin on sevoflurane-induced postoperative cognitive dysfunction (POCD),and to explore its potential mechanism. Methods The mice were divided into control group, model group(sevoflurane anesthesia + laparotomy were ... ...

Abstract	Objective To evaluate the effect of icariin on sevoflurane-induced postoperative cognitive dysfunction (POCD),and to explore its potential mechanism. Methods The mice were divided into control group, model group(sevoflurane anesthesia + laparotomy were used to establish a mouse POCD model), icariin group, PI3K inhibitor group, icariin + inhibitor group, PI3K activator group, with 12 rats in each group. Conditional fear test and Y maze test were used to evaluate cognitive dysfunction in mice; ELISA method was used to detect the levels of serum TNF-α, IL-1β and BDNF; the hippocampal tissue was taken, Nissl staining was used to observe the changes of neuron morphology; TUNEL staining was used to detect neuronal apoptosis rate; the expression levels of M1 and M2 activated microglia and their markers were detected by immunofluorescence method; Western blot was used to detect the expression of TNF-α, IL-1β,IL-10, GSK-3β phosphorylated protein and Bcl-2. Results Compared with the control group, mice of model group showed cognitive impairment, severe hippocampal neuron impairment and apoptosis, the pro-inflammatory response mediated by M1 polarization of microglia in the hippocampus was more intensive than the anti-inflammatory response mediated by M2 polarization. The expression of PI3K/Akt-GSK-3β pathway and its mediated anti-inflammatory and anti-apoptotic proteins decreased (P＜0.05). Icariin and PI3K activator intervention promoted the PI3K/Akt-GSK-3β pathway and its anti-inflammatory and anti-apoptotic responses, and promote the anti-inflammatory response mediated by M2 polarization of hippocampal microglia, alleviated the impairment and apoptosis of hippocampal neurons, and improved cognitive function impairment of mice (P＜0.05). PI3K inhibitors could weaken the above-mentioned effects of icariin (P＜0.05). Conclusions The effect of icariin on improving the apoptosis of hippocampal neurons and cognitive impairment in POCD mice may be related to promoting the activation of PI3K/Akt pathway and enhancing the ...
Keywords	icariin\|cognitive dysfunction\|hippocampal neurons\|apoptosis\|sevoflurane ; Medicine ; R
Subject code	616
Language	Chinese
Publishing date	2022-10-01T00:00:00Z
Publisher	Institute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: GeoPacker: A novel deep learning framework for protein side-chain modeling.

Liu, Jiale / Zhang, Changsheng / Lai, Luhua

Protein science : a publication of the Protein Society

2022 Volume 31, Issue 12, Page(s) e4484

Abstract: Atomic interactions play essential roles in protein folding, structure stabilization, and function performance. Recent advances in deep learning-based methods have achieved impressive success not only in protein structure prediction, but also in protein ... ...

Abstract	Atomic interactions play essential roles in protein folding, structure stabilization, and function performance. Recent advances in deep learning-based methods have achieved impressive success not only in protein structure prediction, but also in protein sequence design. However, highly efficient and accurate protein side-chain prediction methods that can give detailed atomic interactions are still lacking. In the present study, we developed a deep learning based method, GeoPacker, that uses geometric deep learning coupled ResNet for protein side-chain modeling. GeoPacker explicitly represents atomic interactions with rotational and translational invariance for information extraction of relative locations. GeoPacker outperformed the state-of-the-art energy function-based methods in side-chain structure prediction accuracy and runs about 10 and 700 times faster than the deep learning-based method DLPacker and OPUS-rota4 with comparable prediction accuracy, respectively. The performance of GeoPacker does not depend on the secondary structures that the residues belong to. GeoPacker gives highly accurate predictions for buried residues in the protein core as well as protein-protein interface, making it a useful tool for protein structure modeling, protein, and interaction design.
MeSH term(s)	Deep Learning ; Algorithms ; Proteins/chemistry ; Protein Structure, Secondary ; Amino Acid Sequence ; Protein Conformation
Chemical Substances	Proteins
Language	English
Publishing date	2022-10-26
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1106283-6
ISSN	1469-896X ; 0961-8368
ISSN (online)	1469-896X
ISSN	0961-8368
DOI	10.1002/pro.4484
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 3407: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 1: Show issues

Order via subito

Details ▾

Book ; Online: Dynamic Optimal Control

Pan, Chunyu / Su, Zhao / Zhang, Changsheng / Zhang, Xizhe

A Real-Time Control Optimization Algorithm for Dynamic Networks

2023

Abstract: Real-world complex network systems often experience changes over time, and controlling their state has important applications in various fields. While external control signals can drive static networks to a desired state, dynamic networks have varying ... ...

Abstract	Real-world complex network systems often experience changes over time, and controlling their state has important applications in various fields. While external control signals can drive static networks to a desired state, dynamic networks have varying topologies that require changes to the driver nodes for maintaining control. Most existing approaches require knowledge of topological changes in advance to compute optimal control schemes. However, obtaining such knowledge can be difficult for many real-world dynamic networks. To address this issue, we propose a novel real-time control optimization algorithm called Dynamic Optimal Control (DOC) that predicts node control importance using historical information to minimize control scheme changes and reduce overall control cost. We design an efficient algorithm that fine-tunes the current control scheme by repairing past maximum matching to respond to changes in the network topology. Our experiments on real and synthetic dynamic networks show that DOC significantly reduces control cost and achieves more stable and focused real-time control schemes compared to traditional algorithms. The proposed algorithm has the potential to provide solutions for real-time control of complex dynamic systems in various fields.
Keywords	Electrical Engineering and Systems Science - Systems and Control ; Computer Science - Data Structures and Algorithms
Subject code	629
Publishing date	2023-02-19
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Aromatic Polyketides from the Mangrove-Derived

Sun, Lili / Zhu, Hanning / Zhang, Liping / Zhu, Yiguang / Ratnasekera, Disna / Zhang, Changsheng / Zhang, Qingbo

Journal of natural products

2023 Volume 86, Issue 4, Page(s) 979–985

Abstract: A chemical investigation ... ...

Abstract	A chemical investigation of
MeSH term(s)	Molecular Structure ; Streptomyces/chemistry ; Polyketides/chemistry ; Anti-Bacterial Agents/chemistry ; Magnetic Resonance Spectroscopy
Chemical Substances	Polyketides ; Anti-Bacterial Agents
Language	English
Publishing date	2023-03-15
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	304325-3
ISSN	1520-6025 ; 0163-3864
ISSN (online)	1520-6025
ISSN	0163-3864
DOI	10.1021/acs.jnatprod.2c01169
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 1144: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

To top

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito