LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 378

Search options

  1. Article: Free fatty acid receptors in the endocrine regulation of glucose metabolism: Insight from gastrointestinal-pancreatic-adipose interactions.

    Zhao, Yu-Feng

    Frontiers in endocrinology

    2022  Volume 13, Page(s) 956277

    Abstract: Glucose metabolism is primarily controlled by pancreatic hormones, with the coordinated assistance of the hormones from gastrointestine and adipose tissue. Studies have unfolded a sophisticated hormonal gastrointestinal-pancreatic-adipose interaction ... ...

    Abstract Glucose metabolism is primarily controlled by pancreatic hormones, with the coordinated assistance of the hormones from gastrointestine and adipose tissue. Studies have unfolded a sophisticated hormonal gastrointestinal-pancreatic-adipose interaction network, which essentially maintains glucose homeostasis in response to the changes in substrates and nutrients. Free fatty acids (FFAs) are the important substrates that are involved in glucose metabolism. FFAs are able to activate the G-protein coupled membrane receptors including GPR40, GPR120, GPR41 and GPR43, which are specifically expressed in pancreatic islet cells, enteroendocrine cells as well as adipocytes. The activation of FFA receptors regulates the secretion of hormones from pancreas, gastrointestine and adipose tissue to influence glucose metabolism. This review presents the effects of the FFA receptors on glucose metabolism
    MeSH term(s) Adipose Tissue/metabolism ; Diabetes Mellitus, Type 2/metabolism ; Fatty Acids, Nonesterified/metabolism ; Glucose/metabolism ; Humans ; Pancreas/metabolism ; Pancreatic Hormones/metabolism ; Receptors, G-Protein-Coupled/metabolism
    Chemical Substances Fatty Acids, Nonesterified ; Pancreatic Hormones ; Receptors, G-Protein-Coupled ; Glucose (IY9XDZ35W2)
    Language English
    Publishing date 2022-09-28
    Publishing country Switzerland
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2022.956277
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Solid Interfaces for the Garnet Electrolytes.

    Feng, Wuliang / Zhao, Yufeng / Xia, Yongyao

    Advanced materials (Deerfield Beach, Fla.)

    2024  Volume 36, Issue 15, Page(s) e2306111

    Abstract: Solid-state electrolytes (SSEs) have attracted extensive interests due to the advantages in developing secondary batteries with high energy density and outstanding safety. Possessing high ionic conductivity and the lowest reduction potential among the ... ...

    Abstract Solid-state electrolytes (SSEs) have attracted extensive interests due to the advantages in developing secondary batteries with high energy density and outstanding safety. Possessing high ionic conductivity and the lowest reduction potential among the state-of-the-art SSEs, the garnet type SSE is one of the most promising candidates to achieve high performance solid-state lithium batteries (SSLBs). However, the elastic modulus of the garnet electrolyte leads to deteriorated interfacial contacts, and the increasing in electronic conduction at either anode/garnet interface or grain boundary results in Li dendrite growth. Here, recent developments of the solid interfaces for the garnet electrolytes, including the strategies of Li dendrite suppression and interfacial chemical/electrochemical/mechanical stabilizations are presented. A new viewpoint of the double edges of interfacial lithiophobicity is proposed, and the rational design of the interphases, as well as effective stacking methods of the garnet-based SSLBs are summarized. Moreover, practical roles of the garnet electrolyte in SSLB industry are also discussed. This work delivers insights into the solid interfaces for the garnet electrolytes, which provides not only the promotion of the garnet-based SSLBs, but also a comprehensive understanding of the interfacial stabilization for the whole SSE family.
    Language English
    Publishing date 2024-01-18
    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.202306111
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Exploration and future trends on spatial correlation of green innovation efficiency in strategic emerging industries under the digital economy: A social network analysis.

    Li, Xuemei / Zhang, Yuchen / Zhou, Shiwei / Zhao, Zhiguo / Zhao, Yufeng

    Journal of environmental management

    2024  Volume 359, Page(s) 121005

    Abstract: With digital technological change and the increasing frequency of interregional innovation links, the spatial correlation and diversity of strategic emerging industries' green innovation efficiency (SEI-GIE) need to be explored in depth. This paper ... ...

    Abstract With digital technological change and the increasing frequency of interregional innovation links, the spatial correlation and diversity of strategic emerging industries' green innovation efficiency (SEI-GIE) need to be explored in depth. This paper innovatively constructs the SEI-GIE input-output index system under digital economy. The proposed grey model FINGBM(1,1) with ω-order accumulation and weighted initial value optimization realizes effective prediction of 7 input-output indicators of 30 provinces in China from 2021 to 2025. Super-SBM-DEA, gravity model, and social network analysis are applied to explore spatial network structure's dynamic process of SEI-GIE from 12th to 14th Five-Year-Plan period (2011-2025). Empirical results show that (1) Under the effect of digital economy, the SEI-GIE in China generally shows a U-shaped fluctuation trend, in which the growth trend in the central region is obvious, and the western region shows significant fluctuations. (2) The spatial correlation network of SEI-GIE presents a complex and stable center-periphery circle. Particularly, the overall increase in network efficiency highlights the strong small-world characteristics. (3) Beijing, Shanghai, Zhejiang and Jiangsu have always been in the leading core position, with strong influence and control; And Tianjin's core position in the network will decline. Additionally, Guangxi and Chongqing have great potential, but Guangdong needs to strengthen its radiation effect. (4) Block model shows that plate-I (Beijing, Tianjin) receive spatial spillovers from others, while plates-III,IV have significant spillover effects. This study provides theoretical reference for policymakers from a network perspective to promote development of China's SEI-GIE.
    Language English
    Publishing date 2024-05-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2024.121005
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Prediction and assessment of marine fisheries carbon sink in China based on a novel nonlinear grey Bernoulli model with multiple optimizations.

    Li, Xuemei / Yang, Jin / Zhao, Yufeng / Zhou, Shiwei / Wu, Yajie

    The Science of the total environment

    2024  Volume 914, Page(s) 169769

    Abstract: The vigorous development of marine fisheries carbon sinks (MFCS) has become a momentous pathway to mitigate global warming and effectively cope with the climate crisis. Deservedly, based on clarifying mechanism of carbon sequestration, this paper designs ...

    Abstract The vigorous development of marine fisheries carbon sinks (MFCS) has become a momentous pathway to mitigate global warming and effectively cope with the climate crisis. Deservedly, based on clarifying mechanism of carbon sequestration, this paper designs a research paradigm for predicting and evaluating the potential of MFCS. Specifically, a novel nonlinear grey Bernoulli model, namely MFCSNGBM(1,1), is proposed by innovatively mining the original data law through adaptive cumulative series and introducing the compound Simpson formula to optimize background values. More precisely, we utilize a heuristic Grey Wolf Optimization algorithm to find the best power index, which enhances the adaptability. To prove usefulness and robustness of MFCSNGBM(1,1) model, yields of seven common shellfishes (oyster, clam, mussel, scallop, razor clam, bloody clam, and snail) and three main algae (kelp, pinnatifid undaria, and laver) are predicted and compared with six competing models. Based on prediction results, new model has the most accurate predictions, with all prediction errors being <10 %, and thus can achieve effective prediction of shellfish and algae production from 2022 to 2025. Further, the capacity and potential of MFCS in China are scientifically evaluated using a removable carbon sink model, considering various yield levels and biological parameters of shellfish and algae. The assessment results show that during the sample period, China's marine fisheries carbon sinks steadily increased with an annual growth rate of 57,000 tons. From 2022 to 2025, with support of policy of MFCS and improvement of disaster prevention and mitigation capacity, the potential of MFCS will be further released. The growth rate of MFCS will be increased to 94,000 tons per year, and its overall scale is expected to reach 2,198,245 tons by 2025, equivalent to fixing 8.06 million tons of CO2. The carbon sink's economic value is significantly estimated to be over 400 billion yuan.
    MeSH term(s) Carbon Sequestration ; Fisheries ; Global Warming ; China ; Carbon Dioxide/analysis ; Carbon/analysis ; Edible Seaweeds ; Porphyra
    Chemical Substances Carbon Dioxide (142M471B3J) ; Carbon (7440-44-0)
    Language English
    Publishing date 2024-01-03
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.169769
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Edge Detection of Motion-Blurred Images Aided by Inertial Sensors.

    Tian, Luo / Qiu, Kepeng / Zhao, Yufeng / Wang, Peng

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 16

    Abstract: Edge detection serves as the foundation for advanced image processing tasks. The accuracy of edge detection is significantly reduced when applied to motion-blurred images. In this paper, we propose an effective deblurring method adapted to the edge ... ...

    Abstract Edge detection serves as the foundation for advanced image processing tasks. The accuracy of edge detection is significantly reduced when applied to motion-blurred images. In this paper, we propose an effective deblurring method adapted to the edge detection task, utilizing inertial sensors to aid in the deblurring process. To account for measurement errors of the inertial sensors, we transform them into blur kernel errors and apply a total-least-squares (TLS) based iterative optimization scheme to handle the image deblurring problem involving blur kernel errors, whose relating priors are learned by neural networks. We apply the Canny edge detection algorithm to each intermediate output of the iterative process and use all the edge detection results to calculate the network's total loss function, enabling a closer coupling between the edge detection task and the deblurring iterative process. Based on the BSDS500 edge detection dataset and an independent inertial sensor dataset, we have constructed a synthetic dataset for training and evaluating the network. Results on the synthetic dataset indicate that, compared to existing representative deblurring methods, our proposed approach demonstrates higher accuracy and robustness in edge detection of motion-blurred images.
    Language English
    Publishing date 2023-08-15
    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/s23167187
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: Study on Slagging Characteristics of Boiler Pre-combustion Chambers Based on Deep Learning.

    Zhang, Bo / Zhao, Yufeng / Zhao, Xingyu / Huo, Zixian

    ACS omega

    2023  Volume 8, Issue 17, Page(s) 15620–15630

    Abstract: The pre-combustion chamber (PCC) is commonly used to ensure stable combustion in boilers. However, when a coal-fired boiler uses a PCC combustor, the cross-sectional area and volumetric heat load in the PCC are high, which is prone to slagging, affecting ...

    Abstract The pre-combustion chamber (PCC) is commonly used to ensure stable combustion in boilers. However, when a coal-fired boiler uses a PCC combustor, the cross-sectional area and volumetric heat load in the PCC are high, which is prone to slagging, affecting the safe and stable operation of the boiler. Therefore, developing a fast and accurate prediction model is very important for judging the degree of slagging on the wall of the PCC. In recent years, artificial intelligence (AI) has been widely used in the field of thermal engineering, especially in the prediction of slagging. However, currently, using neural networks to predict the degree of boiler slagging only inputs simple parameters such as silicon ratio and acid-base ratio, without considering the actual complex flow and combustion characteristics in the furnace. In order to improve the accuracy of boiler slagging prediction, a deep parallel residual convolution neural network (DPRCNN) is proposed for automatically identifying three types of boiler wall slagging degrees. First, we simulate the boiler combustion process under various operating and structural parameters and output a dataset. Second, experimental validation is used to numerically simulate typical operating conditions, verifying the accuracy of the resulting dataset, and the generated dataset is sent to the DPRCNN model for identification. Finally, a convolutional neural network incorporating parallel thinking is proposed to predict boiler slagging. The experimental results show that the accuracy, accuracy, and area under curve (AUC) of DPRCNN reach 100%, 100%, and 100%, verifying the applicability of deep learning technology to boiler slagging prediction.
    Language English
    Publishing date 2023-04-19
    Publishing country United States
    Document type Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.3c00998
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article: Enhancer in cancer pathogenesis and treatment.

    Sun, Zhuo / Fan, Jinbo / Dang, Yixiong / Zhao, Yufeng

    Genetics and molecular biology

    2023  Volume 46, Issue 3, Page(s) e20220313

    Abstract: Enhancers are essential cis-acting regulatory elements that determine cell identity and tumor progression. Enhancer function is dependent on the physical interaction between the enhancer and its target promoter inside its local chromatin environment. ... ...

    Abstract Enhancers are essential cis-acting regulatory elements that determine cell identity and tumor progression. Enhancer function is dependent on the physical interaction between the enhancer and its target promoter inside its local chromatin environment. Enhancer reprogramming is an important mechanism in cancer pathogenesis and can be driven by both cis and trans factors. Super enhancers are acquired at oncogenes in numerous cancer types and represent potential targets for cancer treatment. BET and CDK inhibitors act through mechanisms of enhancer function and have shown promising results in therapy for various types of cancer. Genome editing is another way to reprogram enhancers in cancer treatment. The relationship between enhancers and cancer has been revised by several authors in the past few years, which mainly focuses on the mechanisms by which enhancers can impact cancer. Here, we emphasize SE's role in cancer pathogenesis and the new therapies involving epigenetic regulators (BETi and CDKi). We suggest that understanding mechanisms of activity would aid clinical success for these anti-cancer agents.
    Language English
    Publishing date 2023-08-04
    Publishing country Brazil
    Document type Journal Article
    ZDB-ID 1445712-x
    ISSN 1678-4685 ; 1415-4757
    ISSN (online) 1678-4685
    ISSN 1415-4757
    DOI 10.1590/1678-4685-GMB-2022-0313
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Activation of peroxymonosulfate by base for degradation of methylene blue: role of bromide ions.

    Yang, Fei / Zhao, Yufeng / He, Lin / Wang, Zhen

    Environmental science and pollution research international

    2023  Volume 30, Issue 29, Page(s) 73861–73869

    Abstract: Bromide ions are inevitable in aquatic environment and influence the degradation of contaminants in non-radical based advanced oxidation processes, but the role of reactive bromine species (RBS) remain obscure. This study investigated the role of bromide ...

    Abstract Bromide ions are inevitable in aquatic environment and influence the degradation of contaminants in non-radical based advanced oxidation processes, but the role of reactive bromine species (RBS) remain obscure. This study investigated the role of bromide ions in the degradation of methylene blue (MB) during the base/peroxymonosulfate (PMS) process. The formation of RBS as a function of bromide ions were evaluated using a kinetic modelling. Bromide ions were shown to play crucial roles in MB degradation. Increasing the dosage of NaOH and Br
    MeSH term(s) Bromides ; Methylene Blue ; Sodium Hydroxide ; Water Pollutants, Chemical/analysis ; Peroxides ; Oxidation-Reduction
    Chemical Substances Bromides ; peroxymonosulfate (22047-43-4) ; Methylene Blue (T42P99266K) ; Sodium Hydroxide (55X04QC32I) ; Water Pollutants, Chemical ; Peroxides
    Language English
    Publishing date 2023-05-17
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-27306-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: The Relationship between Adverse Family Experiences during Childhood and Self-rated Health Outcome in Adulthood.

    Wang, Dianxi / Zhao, Yufeng

    Social work in public health

    2021  Volume 37, Issue 4, Page(s) 342–355

    Abstract: Although there is increasing evidence of a link between adverse family experiences (AFEs) and long-term health outcomes, few studies have investigated the role of educational attainment in the relationship between AFEs and adult health. The data of this ... ...

    Abstract Although there is increasing evidence of a link between adverse family experiences (AFEs) and long-term health outcomes, few studies have investigated the role of educational attainment in the relationship between AFEs and adult health. The data of this study comes from the China Health and Retirement Longitudinal Study (CHARLS). Here, 15,359 samples were analyzed. Ordered logistic regression with interaction terms was used to explore the moderating effect of education on the relationship between AFEs in childhood and adult self-rated health. The self-rated health scores of people with childhood AFEs were significantly lower than of those without them, particularly in the categories of "parents divorced," "parent died," "physical abuse," "domestic conflict," "parental bias," "physical and emotional neglect," "parental physical illness," 'parental mental illness," "family economic hardship," "experience of starvation," "lived in an insecure neighborhood," and "lived in an unhygienic community." Increases in education level reduced the adverse effects of parental bias and neglect in childhood, but this did not eliminate the negative effect of community's environment on adult health. This study highlighted the role of the level of education in eliminating health disparities, which can reduce the adverse effects of AFEs on health in adulthood.
    MeSH term(s) Adult ; Educational Status ; Humans ; Longitudinal Studies ; Outcome Assessment, Health Care ; Parents ; Residence Characteristics
    Language English
    Publishing date 2021-12-21
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2414992-5
    ISSN 1937-190X ; 1937-1918
    ISSN (online) 1937-190X
    ISSN 1937-1918
    DOI 10.1080/19371918.2021.2013384
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article: Advances in genetic factors of adolescent idiopathic scoliosis: a bibliometric analysis.

    Jiang, Xiaowei / Liu, Fuyun / Zhang, Mingxuan / Hu, Weiming / Zhao, Yufeng / Xia, Bing / Xu, Ke

    Frontiers in pediatrics

    2024  Volume 11, Page(s) 1301137

    Abstract: Objective: This study offers a bibliometric analysis of the current situation, hotspots, and cutting-edge domains of genetic factors of adolescent idiopathic scoliosis (AIS).: Methods: All publications related to genetic factors of AIS from January 1, ...

    Abstract Objective: This study offers a bibliometric analysis of the current situation, hotspots, and cutting-edge domains of genetic factors of adolescent idiopathic scoliosis (AIS).
    Methods: All publications related to genetic factors of AIS from January 1, 1992, to February 28, 2023, were searched from the Web of Science. CiteSpace software was employed for bibliometric analysis, collecting information about countries, institutions, authors, journals, and keywords of each article.
    Results: A cumulative number of 308 articles have been ascertained. Since 2006, publications relating to genetic factors of AIS have significantly increased. China leads in both productivity and influence in this area, with the Chinese Academy of Medical Sciences being the most productive institution. The most prolific scholars in this field are Y. Qiu and Z. Z. Zhu. The publications that contributed the most were from
    Conclusion: This analysis provides the frontiers and trends of genetic factors in AIS, including relevant research, partners, institutions and countries.
    Language English
    Publishing date 2024-01-03
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2711999-3
    ISSN 2296-2360
    ISSN 2296-2360
    DOI 10.3389/fped.2023.1301137
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top