LIVIVO - Search results -

Search results

Result 1 - 10 of total 179

Search options

Article: Efficacy of Moxibustion in the Treatment of Parkinson's Disease Based on Meta-Analysis under Intelligent Medical Treatment.

Niu, Qianqian / Xu, Weijie

2022 Volume 2022, Page(s) 8168152

Abstract: Dementia in Parkinson's disease (PD) has become a major factor affecting the quality of life of patients with Parkinson's disease. Early detection and timely prevention can delay the progression of dementia, improve the quality of life of patients, and ... ...

Abstract	Dementia in Parkinson's disease (PD) has become a major factor affecting the quality of life of patients with Parkinson's disease. Early detection and timely prevention can delay the progression of dementia, improve the quality of life of patients, and reduce the burden on society. This article is aimed at studying how to analyze the efficacy of moxibustion in the treatment of Parkinson's disease through meta-analysis on the basis of smart medicine. This article puts forward the related conceptual knowledge of smart medicine and meta-analysis and moxibustion treatment and proposes a deep learning method based on smart medicine to analyze the effects of moxibustion treatment on patients. The experiment in this article can be seen from the data in one of the figures that the highest curative effect of using a single moxibustion to treat Parkinson's disease is about 46%, while the curative effect of using a combination of moxibustion and Western medicine has reached 90%. It can be seen that a single moxibustion is not as effective as a combination of the two for Parkinson's disease. From the data in one of the tables, it can be seen that the proportion of Parkinson's disease in 2016 was 15%, showing an increase of 5%. By 2020, the proportion of Parkinson's disease was as high as 38%, and the growth rate reached 9%. It can be seen that the prevalence of this disease is getting higher and higher. Parkinson's disease has caused many undesirable effects on patients, such as slow movement, mental disorders, and a decline in mental state. Therefore, it is urgent to study the treatment of Parkinson's disease. Moxibustion can improve the patient's blood circulation and help the patient's local limbs to recover more easily and can help improve the patient's motor function.
Language	English
Publishing date	2022-04-30
Publishing country	Egypt
Document type	Journal Article ; Retracted Publication
ZDB-ID	2179924-6
ISSN	1754-2103 ; 1176-2322
ISSN (online)	1754-2103
ISSN	1176-2322
DOI	10.1155/2022/8168152
Database	MEDical Literature Analysis and Retrieval System OnLINE

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.

Article ; Online: Dual-stream EfficientNet with adversarial sample augmentation for COVID-19 computer aided diagnosis.

Xu, Weijie / Nie, Lina / Chen, Beijing / Ding, Weiping

Computers in biology and medicine

2023 Volume 165, Page(s) 107451

Abstract: Though a series of computer aided measures have been taken for the rapid and definite diagnosis of 2019 coronavirus disease (COVID-19), they generally fail to achieve high enough accuracy, including the recently popular deep learning-based methods. The ... ...

Abstract	Though a series of computer aided measures have been taken for the rapid and definite diagnosis of 2019 coronavirus disease (COVID-19), they generally fail to achieve high enough accuracy, including the recently popular deep learning-based methods. The main reasons are that: (a) they generally focus on improving the model structures while ignoring important information contained in the medical image itself; (b) the existing small-scale datasets have difficulty in meeting the training requirements of deep learning. In this paper, a dual-stream network based on the EfficientNet is proposed for the COVID-19 diagnosis based on CT scans. The dual-stream network takes into account the important information in both spatial and frequency domains of CT scans. Besides, Adversarial Propagation (AdvProp) technology is used to address the insufficient training data usually faced by the deep learning-based computer aided diagnosis and also the overfitting issue. Feature Pyramid Network (FPN) is utilized to fuse the dual-stream features. Experimental results on the public dataset COVIDx CT-2A demonstrate that the proposed method outperforms the existing 12 deep learning-based methods for COVID-19 diagnosis, achieving an accuracy of 0.9870 for multi-class classification, and 0.9958 for binary classification. The source code is available at https://github.com/imagecbj/covid-efficientnet.
MeSH term(s)	Humans ; COVID-19 Testing ; COVID-19/diagnostic imaging ; Diagnosis, Computer-Assisted ; Software
Language	English
Publishing date	2023-09-05
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	127557-4
ISSN	1879-0534 ; 0010-4825
ISSN (online)	1879-0534
ISSN	0010-4825
DOI	10.1016/j.compbiomed.2023.107451
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 653: 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 ▾

Article: Potential mechanisms underlying inhibition of xenograft lung cancer models by kaempferol: modulation of gut microbiota in activating immune cell function.

Guan, Maoying / Xu, Weijie / Bai, Haoran / Geng, Zixiang / Yu, Zhihua / Li, Hegen / Liu, Te

Journal of Cancer

2024 Volume 15, Issue 5, Page(s) 1314–1327

Abstract: Context: ...

Abstract	Context:
Language	English
Publishing date	2024-01-15
Publishing country	Australia
Document type	Journal Article
ZDB-ID	2573318-7
ISSN	1837-9664
ISSN	1837-9664
DOI	10.7150/jca.88038
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: Investigation of Workability and Mechanical Properties of PVA Fiber-Reinforced Phosphogypsum-Based Composite Materials.

Huang, Ronggui / Tao, Zhong / Wu, Lei / Shen, Jinjin / Xu, Weijie

Materials (Basel, Switzerland)

2023 Volume 16, Issue 12

Abstract: To address the poor characteristics of low strength and poor toughness in phosphogypsum-based construction material, this study investigates the influence of different diameters, lengths, and dosages of polyvinyl alcohol (abbreviated as PVA) fibers on ... ...

Abstract	To address the poor characteristics of low strength and poor toughness in phosphogypsum-based construction material, this study investigates the influence of different diameters, lengths, and dosages of polyvinyl alcohol (abbreviated as PVA) fibers on the workability and mechanical properties of phosphogypsum-based construction material. The results show that as the length and dosage of PVA fibers increase, the flowability of the slurry gradually decreases, and the setting time also shortens. With an increase in the diameter of PVA fibers, the rate of decrease in flowability slows down, and the rate of shortening of setting time also gradually slows down. Moreover, the inclusion of PVA fibers significantly improves the mechanical strength of the specimens. When PVA fibers with a diameter of 15 μm, length of 12 mm, and dosage of 1.6% are used, the phosphogypsum-based construction material reinforced with PVA fibers exhibits optimal performance. Under this mixing ratio, the strength values of the specimens for flexural strength, bending strength, compressive strength, and tensile strength are 10.07 MPa, 10.73 MPa, 13.25 MPa, and 2.89 MPa, respectively. Compared to the control group, the strength enhancements are 273.00%, 164.29%, 15.32%, and 99.31%, respectively. SEM scanning of the microstructure provides a preliminary explanation for the mechanism of how PVA fibers affect the workability and mechanical properties of phosphogypsum-based construction material. The findings of this study can provide a reference for the research and application of fiber-reinforced phosphogypsum-based construction material.
Language	English
Publishing date	2023-06-08
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma16124244
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Physics-informed deep learning for structural vibration identification and its application on a benchmark structure.

Zhang, Minte / Guo, Tong / Zhang, Guodong / Liu, Zhongxiang / Xu, Weijie

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

2023 Volume 382, Issue 2264, Page(s) 20220400

Abstract: Structural vibration identification is an important task in civil engineering that is based on processing measured data from structural monitoring. However, predicting the response at unsensed locations based on limited sensor data can be challenging. ... ...

Abstract	Structural vibration identification is an important task in civil engineering that is based on processing measured data from structural monitoring. However, predicting the response at unsensed locations based on limited sensor data can be challenging. Deep learning (DL) methods have shown promise in vibration data feature extraction and generation, but they struggle to capture the underlying physics laws and dynamic equations that govern vibration identification. This paper presents a novel framework called physics-informed deep learning (PIDL) that combines deep generative networks with structural dynamics knowledge to address these challenges. The PIDL framework consists of a data-driven convolutional neural network for structural excitation identification and a physics-informed variational autoencoder for explicit time-domain (ETD) vibration analysis with the generated unit impulse response (UIR) signal of the measured structure. The proposed framework is evaluated on a benchmark structure for structural health monitoring, demonstrating its effectiveness in extracting physics-related dynamics features and accurately identifying excitation signals and latent physics parameters across different damage patterns. Additionally, the incorporation of an ETD method-aided convolution function in the loss function aligns the generated UIR signals with the dynamic properties of the measured structure. Compared with conventional DL-based vibration analysis methods, the PIDL framework offers improved accuracy and reliability by integrating structural dynamics knowledge. This study contributes to the advancement of structural vibration identification and showcases the potential of the PIDL framework in civil structure monitoring applications. This article is part of the theme issue 'Physics-informed machine learning and its structural integrity applications (Part 2)'.
Language	English
Publishing date	2023-11-20
Publishing country	England
Document type	Journal Article
ZDB-ID	208381-4
ISSN	1471-2962 ; 0080-4614 ; 0264-3820 ; 0264-3952 ; 1364-503X
ISSN (online)	1471-2962
ISSN	0080-4614 ; 0264-3820 ; 0264-3952 ; 1364-503X
DOI	10.1098/rsta.2022.0400
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Bonn / Germany

Z 4' 46/25: Show issues
Z PHI 2: Show issues

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.

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: A method to address beam cross coupling errors in phased array Doppler sonar.

Jia, Kuankuan / Tong, Hui / Hong, Feng / Xu, Weijie / Ma, Li

JASA express letters

2023 Volume 3, Issue 5

Abstract: Performance of Doppler sonar is degraded by beam cross coupling errors. This performance degradation presents itself as the loss of precision and bias of velocity estimates output by the system. A model is proposed here to reveal the physical essence of ... ...

Abstract	Performance of Doppler sonar is degraded by beam cross coupling errors. This performance degradation presents itself as the loss of precision and bias of velocity estimates output by the system. A model is proposed here to reveal the physical essence of the beam cross coupling. Specifically, the model can analyze the effects of environmental conditions and vehicle attitude on the coupling bias. Based on this model, a phase assignment method is also proposed to reduce the beam cross coupling bias. The results obtained for various settings validate the efficacy of the proposed method.
Language	English
Publishing date	2023-05-04
Publishing country	United States
Document type	Journal Article
ISSN	2691-1191
ISSN (online)	2691-1191
DOI	10.1121/10.0019353
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: Target and Mechanism of the Xihuang Pill Based on Network Pharmacology for Lung Squamous Cell Carcinoma.

Tu, Hongbin / Li, Jing / Xu, Weijie / Wang, Zhenwei / Wang, Lixin

Alternative therapies in health and medicine

2023 Volume 29, Issue 7, Page(s) 148–154

Abstract: Context: Lung squamous cell carcinoma (LUSC) accounts for 30% of non-small-cell lung cancers (NSCLC), and an effective pharmacological treatment for LUSC isn't yet available. The Xihuang Pill is a potent Chinese medicinal preparation widely prescribed ... ...

Abstract	Context: Lung squamous cell carcinoma (LUSC) accounts for 30% of non-small-cell lung cancers (NSCLC), and an effective pharmacological treatment for LUSC isn't yet available. The Xihuang Pill is a potent Chinese medicinal preparation widely prescribed for the management of LUSC. Objective: The study intended to use the network-pharmacology method to ascertain the effective active ingredients, targets of action, and cellular-signal transduction involved in the prevention and treatment of LUSC when using the Xihuang Pill and to identify the mechanism of action of the pills against LUSC, to provide a more adequate scientific basis for subsequent studies. Design: The research team performed a genetic study. Setting: The study took place at Shanghai. Outcome measures: The research team: (1) created the feature sets, for both the LUSC and normal features, using the Cancer Genome Atlas' (TCGA's) LUSC dataset; (2) performed a weighted correlation network analysis (WGCNA) of the differentially expressed genes (DEGs) using the R package WGCNA; (3) searched for the chemical components of the Xihuang Pill using the Traditional Chinese Medicine Systematic Pharmacology Database and Analysis Platform (TCMSP) and the Herb Group Identification Platform, and (4) selected the novel the Matthews correlation coefficient (MCC) algorithm to screen the hub genes. Results: The study found 8713 DEGs between the LUSC and normal groups. The top ten, important, downregulated genes included: (1) advanced glycosylation end product (AGER), (2) chitinase, acidic pseudogene 2 (CHIAP2), (3) CD300 molecule like family member G (CD300LG), (4) solute carrier family 6 member 4 (SLC6A4), (5) carboxypeptidase B2 (CPB2), (6) claudin 18 (CLDN18), (7) gamma-glutamyltransferase light chain 1 (GGTLC1), (8) gastrokine 2 (GKN2), (9) progastricsin (PGC), and (10) pulmonary surfactant-associated protein C (SFTPC). The top 10 upregulated genes included: (1) cancer susceptibility 9 (CASC9), (2) homeobox C13 (HOXC13), (3) keratin 6a (KRT6A), (4) desmoglein 3 (DSG3), (5) keratin 16 (KRT16), (6) forkhead box E1 (FOXE1), (7) preferentially expressed antigen in melanoma (PRAME), (8) calmodulin-like protein 3 (CALML3), (9) KRT68, and (10) aldo-keto reductase family 1 member B10 (AKR1B10). The study found 41 active ingredients and 843 targets for the Xihuang Pill. The PPI network included 10 hub genes, including cyclin dependent kinase 1 (CDK1), cyclin B1 (CCNB1), cyclin B2 (CCNB2), polo-like kinase 1 (PLK1), aurora kinase B (AURKB), baculoviral IAP repeat containing 5 (BIRC5), cyclin A2 (CCNA2), aurora kinase A (AURKA), centrosome-associated protein E (CENPE), and threonine tyrosine kinase (TTK), which were the principal target genes at the core of the gene-pathway network for the drug compound to central-target relationship. The enrichment analyses used the overlapping genes and the 10 hub genes and found 390 biological processes (BPs), 25 molecular functions (MFs), 43 cellular components (CCs), and 10 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. The main enrichment occurred in the regulation of protein serine-threonine kinase activity, mitotic nuclear division, progesterone-mediated oocyte maturation, and the cell cycle. Conclusions: The study found the targets and relevant pathways of the hub genes of Xihuang Pill using biological analysis and molecular docking and demonstrated the interactions of critical chemical compounds with the hub's targeted genes were. More research is necessary to further determine whether the Xihuang Pill can improve LUSC patients' survival rate by regulation of those genes.
MeSH term(s)	Humans ; Carcinoma, Non-Small-Cell Lung ; Network Pharmacology ; Molecular Docking Simulation ; Lung Neoplasms/drug therapy ; Lung Neoplasms/genetics ; China ; Carcinoma, Squamous Cell ; Lung ; Claudins ; Antigens, Neoplasm ; Serotonin Plasma Membrane Transport Proteins
Chemical Substances	xihuang ; CLDN18 protein, human ; Claudins ; PRAME protein, human ; Antigens, Neoplasm ; SLC6A4 protein, human ; Serotonin Plasma Membrane Transport Proteins ; GKN2 protein, human
Language	English
Publishing date	2023-07-25
Publishing country	United States
Document type	Journal Article
ZDB-ID	1225073-9
ISSN	1078-6791
ISSN	1078-6791
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 4504: 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

Details ▾
- See ZB MED holdings
- Order with fees

Book ; Online: Approximate, Adapt, Anonymize (3A)

Madl, Tamas / Xu, Weijie / Choudhury, Olivia / Howard, Matthew

a Framework for Privacy Preserving Training Data Release for Machine Learning

2023

Abstract: The availability of large amounts of informative data is crucial for successful machine learning. However, in domains with sensitive information, the release of high-utility data which protects the privacy of individuals has proven challenging. Despite ... ...

Abstract	The availability of large amounts of informative data is crucial for successful machine learning. However, in domains with sensitive information, the release of high-utility data which protects the privacy of individuals has proven challenging. Despite progress in differential privacy and generative modeling for privacy-preserving data release in the literature, only a few approaches optimize for machine learning utility: most approaches only take into account statistical metrics on the data itself and fail to explicitly preserve the loss metrics of machine learning models that are to be subsequently trained on the generated data. In this paper, we introduce a data release framework, 3A (Approximate, Adapt, Anonymize), to maximize data utility for machine learning, while preserving differential privacy. We also describe a specific implementation of this framework that leverages mixture models to approximate, kernel-inducing points to adapt, and Gaussian differential privacy to anonymize a dataset, in order to ensure that the resulting data is both privacy-preserving and high utility. We present experimental evidence showing minimal discrepancy between performance metrics of models trained on real versus privatized datasets, when evaluated on held-out real data. We also compare our results with several privacy-preserving synthetic data generation models (such as differentially private generative adversarial networks), and report significant increases in classification performance metrics compared to state-of-the-art models. These favorable comparisons show that the presented framework is a promising direction of research, increasing the utility of low-risk synthetic data release for machine learning. Comment: 10 pages, 3 figures, AAAI Workshop
Keywords	Computer Science - Machine Learning ; Computer Science - Cryptography and Security ; 62-08 ; G.4
Subject code	006
Publishing date	2023-07-04
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.

Book ; Online: FFPDG

Xu, Weijie / Zhao, Jinjin / Iannacci, Francis / Wang, Bo

Fast, Fair and Private Data Generation

2023

Abstract: Generative modeling has been used frequently in synthetic data generation. Fairness and privacy are two big concerns for synthetic data. Although Recent GAN [\cite{goodfellow2014generative}] based methods show good results in preserving privacy, the ... ...

Abstract	Generative modeling has been used frequently in synthetic data generation. Fairness and privacy are two big concerns for synthetic data. Although Recent GAN [\cite{goodfellow2014generative}] based methods show good results in preserving privacy, the generated data may be more biased. At the same time, these methods require high computation resources. In this work, we design a fast, fair, flexible and private data generation method. We show the effectiveness of our method theoretically and empirically. We show that models trained on data generated by the proposed method can perform well (in inference stage) on real application scenarios. Comment: 12 pages, 2 figures, ICLR 2021 Workshop on Synthetic Data Generation
Keywords	Computer Science - Machine Learning ; Computer Science - Artificial Intelligence ; 94-10
Publishing date	2023-06-30
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.

Book ; Online: A text-dependent speaker verification application framework based on Chinese numerical string corpus

Zheng, Litong / Hong, Feng / Xu, Weijie

2023

Abstract: Researches indicate that text-dependent speaker verification (TD-SV) often outperforms text-independent verification (TI-SV) in short speech scenarios. However, collecting large-scale fixed text speech data is challenging, and as speech length increases, ...

Abstract	Researches indicate that text-dependent speaker verification (TD-SV) often outperforms text-independent verification (TI-SV) in short speech scenarios. However, collecting large-scale fixed text speech data is challenging, and as speech length increases, factors like sentence rhythm and pauses affect TDSV's sensitivity to text sequence. Based on these factors, We propose the hypothesis that strategies such as more fine-grained pooling methods on time scales and decoupled representations of speech speaker embedding and text embedding are more suitable for TD-SV. We have introduced an end-to-end TD-SV system based on a dataset comprising longer Chinese numerical string texts. It contains a text embedding network, a speaker embedding network, and back-end fusion. First, we recorded a dataset consisting of long Chinese numerical text named SHAL, which is publicly available on the Open-SLR website. We addressed the issue of dataset scarcity by augmenting it using Tacotron2 and HiFi-GAN. Next, we introduced a dual representation of speech with text embedding and speaker embedding. In the text embedding network, we employed an enhanced Transformer and introduced a triple loss that includes text classification loss, CTC loss, and decoder loss. For the speaker embedding network, we enhanced a sliding window attentive statistics pooling (SWASP), combined with attentive statistics pooling (ASP) to create a multi-scale pooling method. Finally, we fused text embedding and speaker embedding. Our pooling methods achieved an equal error rate (EER) performance improvement of 49.2% on Hi-Mia and 75.0% on SHAL, respectively.
Keywords	Computer Science - Sound ; Electrical Engineering and Systems Science - Audio and Speech Processing
Publishing date	2023-12-04
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.

To top

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

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Bonn / Germany

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

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED