LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 1148

Search options

  1. Article: Functional Microgel Enables Effective Delivery and Colonization of Probiotics for Treating Colitis.

    Chen, Bingyu / Pu, Wendan / Zhang, Jianxiang

    ACS central science

    2023  Volume 9, Issue 7, Page(s) 1260–1262

    Language English
    Publishing date 2023-07-13
    Publishing country United States
    Document type News
    ISSN 2374-7943
    ISSN 2374-7943
    DOI 10.1021/acscentsci.3c00773
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    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.

  2. Article ; Online: Roles and therapeutic targeting of dendritic cells in liver fibrosis.

    Wang, Bingyu / Yang, Liuxin / Yuan, Xingxing / Zhang, Yang

    Journal of drug targeting

    2024  , Page(s) 1–8

    Abstract: Liver fibrosis is a common pathological condition marked by excessive accumulation of extracellular matrix proteins, resulting in irreversible cirrhosis and cancer. Dendritic cells (DCs) act as the crucial component of hepatic immunity and are believed ... ...

    Abstract Liver fibrosis is a common pathological condition marked by excessive accumulation of extracellular matrix proteins, resulting in irreversible cirrhosis and cancer. Dendritic cells (DCs) act as the crucial component of hepatic immunity and are believed to affect fibrosis by regulating the proliferation and differentiation of hepatic stellate cells (HSCs), a key mediator of fibrogenesis, and by interplaying with immune cells in the liver. This review concisely describes the process of fibrogenesis, and the phenotypic and functional characteristics of DCs in the liver. Besides, it focuses on the interaction between DCs and HSCs, T cells, and natural killer (NK) cells, as well as the dual roles of DCs in liver fibrosis, for the sake of exploring the potential of targeting DCs as a therapeutic strategy for the disease.
    Language English
    Publishing date 2024-04-29
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1187110-6
    ISSN 1029-2330 ; 1061-186X
    ISSN (online) 1029-2330
    ISSN 1061-186X
    DOI 10.1080/1061186X.2024.2347365
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 4481: 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)

    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.

  3. Article ; Online: Dual-Photoelectrode Fuel Cell Based Self-Powered Sensor for a Picomole Level Pollutant: Using an In Situ Molecularly Imprinted p-Type Organic Photocathode.

    Chen, Qichen / Zhang, Ziwei / Du, Bingyu / Liu, Meichuan

    Analytical chemistry

    2023  Volume 95, Issue 43, Page(s) 15975–15984

    Abstract: Developing a dual-photoelectrode fuel cell based self-powered sensor (DPFC-SPS) with an ideal signal output capability and high sensitivity performance for the detection of environmental pollutant atrazine (ATZ) has an important value. In this work, ... ...

    Abstract Developing a dual-photoelectrode fuel cell based self-powered sensor (DPFC-SPS) with an ideal signal output capability and high sensitivity performance for the detection of environmental pollutant atrazine (ATZ) has an important value. In this work, the
    Language English
    Publishing date 2023-10-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.3c03066
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 4033: 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)

    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.

  4. Article: Comprehensive pan-cancer analysis and the regulatory mechanism of AURKA, a gene associated with prognosis of ferroptosis of adrenal cortical carcinoma in the tumor micro-environment.

    Lu, Keqiang / Yuan, Xingxing / Zhao, Lingling / Wang, Bingyu / Zhang, Yali

    Frontiers in genetics

    2023  Volume 13, Page(s) 996180

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2023-01-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2022.996180
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    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.

  5. Article ; Online: Author Correction: The protein arginine methyltransferase PRMT9 attenuates MAVS activation through arginine methylation.

    Bai, Xuemei / Sui, Chao / Liu, Feng / Chen, Tian / Zhang, Lei / Zheng, Yi / Liu, Bingyu / Gao, Chengjiang

    Nature communications

    2024  Volume 15, Issue 1, Page(s) 282

    Language English
    Publishing date 2024-01-04
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-023-44545-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    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.

  6. Article ; Online: The Application of Artificial Intelligence Technology in Art Teaching Taking Architectural Painting as an Example

    Jing Li / Bingyu Zhang

    Computational Intelligence and Neuroscience, Vol

    2022  Volume 2022

    Abstract: In the current era of technology, artificial intelligence has grown rapidly in such a way that it has established its presence in all fields. The purpose of artificial intelligence is to reduce human intervention and complete tasks with an enhanced ... ...

    Abstract In the current era of technology, artificial intelligence has grown rapidly in such a way that it has established its presence in all fields. The purpose of artificial intelligence is to reduce human intervention and complete tasks with an enhanced result. In this research, we are going to study the application of artificial intelligence technology in art teaching, taking architectural painting as an example. Architectural painting is a type of painting that focuses only on architecture, including indoor and outdoor views of the buildings. In earlier stages, architecture was shown only in the background of paintings that had different objects as the main subject. Later, architecture itself became a mainstream genre in the field of painting. As has been shown by other researchers, the latest technologies such as Internet technology, wireless sensor networks (WSNs), and artificial intelligence like deep learning technologies are deployed in art teaching. Artificial intelligence has made teaching easier. This proposed system makes use of Internet technology, WSNs, artificial intelligence, and lightweight deep learning models in the field of art teaching. The teaching method is enhanced by adapting to this new technology. For performing the analysis of the proposed system, the Limited Broyden–Fletcher–Goldfarb–Shanno (L-BFGS) art algorithm is implemented. This L-BFGS algorithm focuses on finding the local minima in any given application. In this art teaching of architectural painting, the proposed algorithm will aid in explaining the minute works to be noted while doing the artwork. The proposed algorithm is then compared with the traditional Gradient Descent, Adam, and Adadelta algorithms. From the results, it can be observed that the proposed algorithm has achieved accuracy of 97% and 98% in the training and testing phases, respectively.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
    Subject code 700
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    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.

  7. Article ; Online: Meta-analysis of the influence of tracheal intubation with cuff and without cuff on the incidence of total wound complications in ICU intubation patients.

    Jiang, Bingyu / Wang, Yupeng / He, Xiaoyan / Zhang, Lele / Fu, Shangpeng

    International wound journal

    2024  Volume 21, Issue 3, Page(s) e14741

    Abstract: At present, it is still controversial whether patients in intensive care unit (ICU) use tracheal intubation with or without cuff. This paper evaluates the effect of tracheal intubation with and without cuff on overall complication rate of patients with ... ...

    Abstract At present, it is still controversial whether patients in intensive care unit (ICU) use tracheal intubation with or without cuff. This paper evaluates the effect of tracheal intubation with and without cuff on overall complication rate of patients with intubation in ICU. The database of PubMed, Embase, Conchrane Library and Web of Science was searched by computer, and the clinical research on intubation with and without cuff in ICU was collected. The time range was from the database establishment to November 2023. Literature was independently screened, information was extracted, and quality was assessed by two researchers. Finally, there were nine studies included, with 11 068 patients (7391 in cuff group and 3677 in non-cuff group). The results showed that the overall complication rate of cuff group was significantly lower than that of non-cuff group, and that of cuff group (RR = 0.53, p < 0.01). In addition, compared with the non-cuff group, the cuff group had a lower number of tracheal intubation changes [RR = 0.05, p < 0.01] and a lower incidence of aspiration pneumonia (RR = 0.45, p = 0.01). Compared with the non-cuff group, the cuff group had a higher incidence of oral mucosal ulcers and pharyngitis (RR = 1.99, p = 0.04), while the cuff group had a lower incidence of laryngeal edema (RR = 0.39, p < 0.01). In ICU intubation patients, the use of cuffs reduces overall complication rate in comparison to patients without cuffs. Therefore, patients with intubation in ICU can recommend tracheal intubation with cuff.
    MeSH term(s) Humans ; Incidence ; Intubation, Intratracheal/adverse effects ; Critical Care ; Intensive Care Units
    Language English
    Publishing date 2024-02-27
    Publishing country England
    Document type Meta-Analysis ; Journal Article
    ZDB-ID 2170920-8
    ISSN 1742-481X ; 1742-4801
    ISSN (online) 1742-481X
    ISSN 1742-4801
    DOI 10.1111/iwj.14741
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 6006: 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

    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.

  8. Article ; Online: COVID-19 Detection Algorithm Combining Grad-CAM and Convolutional Neural Network

    ZHU Bingyu, LIU Zhen, ZHANG Jingxiang

    Jisuanji kexue yu tansuo, Vol 16, Iss 9, Pp 2108-

    2022  Volume 2120

    Abstract: In the detection of COVID-19, chest X-ray (CXR) images and CT scan images are two main technical methods, which provide an important basis for doctors' diagnosis. Currently, convolutional neural network (CNN) in detecting the COVID-19 medical radioactive ...

    Abstract In the detection of COVID-19, chest X-ray (CXR) images and CT scan images are two main technical methods, which provide an important basis for doctors' diagnosis. Currently, convolutional neural network (CNN) in detecting the COVID-19 medical radioactive images has problems of low accuracy, complex algorithms, and inability to mark feature regions. In order to solve these problems, this paper proposes an algorithm combining Grad-CAM color visualization and convolutional neural network (GCCV-CNN). The algorithm can quickly classify lung X-ray images and CT scan images of COVID-19-positive patients, COVID-19-negative patients, general pneumonia patients and healthy people. At the same time, it can quickly locate the critical area in X-ray images and CT images. Finally, the algorithm can get more accurate detection results through the synthesis of deep learning algorithms. In order to verify the effectiveness of the GCCV-CNN algorithm, experiments are performed on three COVID-19-positive patient datasets and it is compared with existing algorithms. The results show that the classification performance of the algorithm is better than the COVID-Net algorithm and the DeTraC-Net algorithm. The GCCV-CNN algorithm achieves a high accuracy of 98.06%, which is faster and more robust.
    Keywords |chest x-ray (cxr) images|ct scan images|covid-19|grad-cam|algorithm combining grad-cam color visualization and convolutional neural network (gccv-cnn) ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 006
    Language Chinese
    Publishing date 2022-09-01T00:00:00Z
    Publisher Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    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.

  9. Book ; Online: The Document Vectors Using Cosine Similarity Revisited

    Bingyu, Zhang / Arefyev, Nikolay

    2022  

    Abstract: The current state-of-the-art test accuracy (97.42\%) on the IMDB movie reviews dataset was reported by \citet{thongtan-phienthrakul-2019-sentiment} and achieved by the logistic regression classifier trained on the Document Vectors using Cosine Similarity ...

    Abstract The current state-of-the-art test accuracy (97.42\%) on the IMDB movie reviews dataset was reported by \citet{thongtan-phienthrakul-2019-sentiment} and achieved by the logistic regression classifier trained on the Document Vectors using Cosine Similarity (DV-ngrams-cosine) proposed in their paper and the Bag-of-N-grams (BON) vectors scaled by Naive Bayesian weights. While large pre-trained Transformer-based models have shown SOTA results across many datasets and tasks, the aforementioned model has not been surpassed by them, despite being much simpler and pre-trained on the IMDB dataset only. In this paper, we describe an error in the evaluation procedure of this model, which was found when we were trying to analyze its excellent performance on the IMDB dataset. We further show that the previously reported test accuracy of 97.42\% is invalid and should be corrected to 93.68\%. We also analyze the model performance with different amounts of training data (subsets of the IMDB dataset) and compare it to the Transformer-based RoBERTa model. The results show that while RoBERTa has a clear advantage for larger training sets, the DV-ngrams-cosine performs better than RoBERTa when the labelled training set is very small (10 or 20 documents). Finally, we introduce a sub-sampling scheme based on Naive Bayesian weights for the training process of the DV-ngrams-cosine, which leads to faster training and better quality.
    Keywords Computer Science - Computation and Language ; Computer Science - Artificial Intelligence
    Subject code 006
    Publishing date 2022-05-26
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    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.

  10. Article: Effects of the Use of Different Temperature and Calcium Chloride Treatments during Storage on the Quality of Fresh-Cut "Xuebai" Cauliflowers.

    Mu, Bingyu / Xue, Jianxin / Zhang, Shujuan / Li, Zezhen

    Foods (Basel, Switzerland)

    2022  Volume 11, Issue 3

    Abstract: This study revealed the effect of the use of different temperature and calcium chloride ( ... ...

    Abstract This study revealed the effect of the use of different temperature and calcium chloride (CaCl
    Language English
    Publishing date 2022-02-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704223-6
    ISSN 2304-8158
    ISSN 2304-8158
    DOI 10.3390/foods11030442
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    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.

To top