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Article: Zwitterionic coating assisted by dopamine with metal-phenolic networks loaded on titanium with improved biocompatibility and antibacterial property for artificial heart.

Meng, Lingwei / Huang, Chuangxin / Liu, Xin / Qu, Hongyi / Wang, Qiuliang

Frontiers in bioengineering and biotechnology

2023 Volume 11, Page(s) 1167340

Abstract: Introduction: ...

Abstract	Introduction:
Language	English
Publishing date	2023-04-17
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2719493-0
ISSN	2296-4185
ISSN	2296-4185
DOI	10.3389/fbioe.2023.1167340
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Article ; Online: Deconstruction of Risk Prediction of Ischemic Cardiovascular and Cerebrovascular Diseases Based on Deep Learning.

Xu, Yan / Meng, Lingwei

publication RETRACTED

Contrast media & molecular imaging

2022 Volume 2022, Page(s) 8478835

Abstract: Over the years, with the widespread use of computer technology and the dramatic increase in electronic medical data, data-driven approaches to medical data analysis have emerged. However, the analysis of medical data remains challenging due to the mixed ... ...

Abstract	Over the years, with the widespread use of computer technology and the dramatic increase in electronic medical data, data-driven approaches to medical data analysis have emerged. However, the analysis of medical data remains challenging due to the mixed nature of the data, the incompleteness of many records, and the high level of noise. This paper proposes an improved neural network DBN-LSTM that combines a deep belief network (DBN) with a long short-term memory (LSTM) network. The subset of feature attributes processed by CFS-EGA is used for training, and the optimal selection test of the number of hidden layers is performed on the upper DBN in the process of training DBN-LSTM. At the same time, the validation set is combined to determine the hyperparameters of the LSTM. Construct the DNN, CNN, and long short-term memory (LSTM) network for comparative analysis with DBN-LSTM. Use the classification method to compare the average of the final results of the two experiments. The results show that the prediction accuracy of DBN-LSTM for cardiovascular and cerebrovascular diseases reaches 95.61%, which is higher than the three traditional neural networks.
MeSH term(s)	Humans ; Deep Learning ; Cerebrovascular Disorders/epidemiology ; Neural Networks, Computer
Language	English
Publishing date	2022-09-30
Publishing country	England
Document type	Journal Article ; Retracted Publication
ZDB-ID	2232678-9
ISSN	1555-4317 ; 1555-4309
ISSN (online)	1555-4317
ISSN	1555-4309
DOI	10.1155/2022/8478835
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Article ; Online: A Mendelian randomization-based study of the causal relationship between leisure sedentary behavior and delirium.

Liu, Chuanzhen / Lv, Xin / Meng, Lingwei / Li, Jianhua / Cao, Guangqing

Journal of affective disorders

2024 Volume 355, Page(s) 50–56

Abstract: Background: Delirium is an acute or subacute change in mental status caused by various factors. We evaluated the causal relationship between leisure sedentary behaviors (LSBs) and delirium.: Methods: A two-sample Mendelian randomization (MR) study ... ...

Abstract	Background: Delirium is an acute or subacute change in mental status caused by various factors. We evaluated the causal relationship between leisure sedentary behaviors (LSBs) and delirium. Methods: A two-sample Mendelian randomization (MR) study was performed to evaluate the causal relationship between sedentary behaviors (time spent watching television, time spent using computer, and time spent driving) and delirium. Statistical information for the associations between single nucleotide polymorphisms (SNPs) and the traits of interest was obtained from independent consortia that focused on European populations. The dataset for LSBs was acquired from genome-wide association studies (GWAS) comprising a substantial sample size: 437887 samples for time spent watching television, 360,895 for time spent using computer, and 310,555 for time spent driving. A GWAS with 1269 delirium cases and 209,487 controls was used to identify genetic variation underlying the time of LSBs. We used five complementary MR methods, including inverse variance weighted method (IVW), MR-Egger, weighted median, weighted mode, and simple mode. Results: Genetically predicted time spent watching television (odds ratio [OR]: 2.921, 95 % confidence interval [CI]: 1.381-6.179) demonstrated significant association with delirium (P = 0.005), whereas no significant associations were observed between time spent using computer (OR: 0.556, 95 % CI: 0.246-1.257, P = 0.158) and time spent driving (OR: 1.747, 95 % CI: 0.09-3. 40, P = 0.713) and delirium. Sensitivity analyses supported a causal interpretation, with limited evidence of significant bias from genetic pleiotropy. Moreover, our MR assumptions appeared to be upheld, enhancing the credibility of our conclusions. Limitations: Larger sample sizes are needed to validate the findings of our study. Conclusion: Time spent watching television is a significant risk factor for delirium. Reducing television time may be an important intervention for those at higher risk of delirium.
MeSH term(s)	Humans ; Genome-Wide Association Study ; Mendelian Randomization Analysis ; Sedentary Behavior ; Recreation ; Delirium/etiology ; Delirium/genetics
Language	English
Publishing date	2024-03-28
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	135449-8
ISSN	1573-2517 ; 0165-0327
ISSN (online)	1573-2517
ISSN	0165-0327
DOI	10.1016/j.jad.2024.03.158
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Article: Immune dysregulation and macrophage polarization in peri-implantitis.

Li, Yue / Li, Xue / Guo, Danni / Meng, Lingwei / Feng, Xianghui / Zhang, Yi / Pan, Shaoxia

Frontiers in bioengineering and biotechnology

2024 Volume 12, Page(s) 1291880

Abstract: The term "peri-implantitis" (peri-implantitis) refers to an inflammatory lesion of the mucosa surrounding an endosseous implant and a progressive loss of the peri-implant bone that supports the implant. Recently, it has been suggested that the increased ... ...

Abstract	The term "peri-implantitis" (peri-implantitis) refers to an inflammatory lesion of the mucosa surrounding an endosseous implant and a progressive loss of the peri-implant bone that supports the implant. Recently, it has been suggested that the increased sensitivity of implants to infection and the quick elimination of supporting tissue after infection may be caused by a dysregulated peri-implant mucosal immune response. Macrophages are polarized in response to environmental signals and play multiple roles in peri-implantitis. In peri-implantitis lesion samples, recent investigations have discovered a considerable increase in M1 type macrophages, with M1 type macrophages contributing to the pro-inflammatory response brought on by bacteria, whereas M2 type macrophages contribute to inflammation remission and tissue repair. In an effort to better understand the pathogenesis of peri-implantitis and suggest potential immunomodulatory treatments for peri-implantitis in the direction of macrophage polarization patterns, this review summarizes the research findings related to macrophage polarization in peri-implantitis and compares them with periodontitis.
Language	English
Publishing date	2024-01-29
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2719493-0
ISSN	2296-4185
ISSN	2296-4185
DOI	10.3389/fbioe.2024.1291880
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Article ; Online: Dimeric Giant Molecule Acceptors Featuring N-type Linker: Enhancing Intramolecular Coupling for High-Performance Polymer Solar Cells.

Fu, Hongyuan / Wang, Qingyuan / Chen, Qi / Zhang, Yaogang / Meng, Shixin / Xue, Lingwei / Zhang, Chunfeng / Yi, Yuanping / Zhang, Zhi-Guo

Angewandte Chemie (International ed. in English)

2024 , Page(s) e202403005

Abstract: Giant molecular acceptors (GMAs) are typically designed through the conjugated linking of individual small molecule acceptors (SMAs). This design imparts an extended molecular size, elevating the glass transition temperature ( ... ...

Abstract	Giant molecular acceptors (GMAs) are typically designed through the conjugated linking of individual small molecule acceptors (SMAs). This design imparts an extended molecular size, elevating the glass transition temperature (T
Language	English
Publishing date	2024-02-21
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2011836-3
ISSN	1521-3773 ; 1433-7851
ISSN (online)	1521-3773
ISSN	1433-7851
DOI	10.1002/anie.202403005
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Article: Suction detection and suction suppression of centrifugal blood pump based on the FFT-GAPSO-LSTM model and speed modulation.

Liu, Xin / Qu, Hongyi / Huang, Chuangxin / Meng, Lingwei / Chen, Qi / Wang, Qiuliang

Heliyon

2024 Volume 10, Issue 4, Page(s) e25992

Abstract: Centrifugal blood pumps are important devices used to treat heart failure. However, they are prone to high-risk suction events that pose a threat to human health when operating at high speeds. To address these issues, a normal suction detection method ... ...

Abstract	Centrifugal blood pumps are important devices used to treat heart failure. However, they are prone to high-risk suction events that pose a threat to human health when operating at high speeds. To address these issues, a normal suction detection method and a suction suppression method based on the FFT-GAPSO-LSTM model and speed modulation were proposed. The innovation of this suction detection method lies in the application of the genetic particle swarm optimisation (GAPSO) and the fast Fourier transform (FFT) feature extraction method to the long-term and short-term memory (LSTM) model, thereby improving the accuracy of suction detection. After detecting signs of suction, the suction suppression method designed in this study based on variable-speed modulation immediately takes effect, enabling the centrifugal blood pump to quickly return to its normal state by controlling the speed. The suction detection method was divided into four steps. First, a mathematical model of the coupling of the cardiovascular system and the centrifugal blood pump was established, and a real-time blood flow curve was obtained through model simulation. Second, the signal was preprocessed by adding Gaussian white noise and low-pass filtering to make the blood flow signal close to actual working conditions while retaining the original characteristics. Subsequently, through fast Fourier transform (FFT) analysis of the processed curve, the spectral characteristics that can characterise the working state of the centrifugal blood pump were extracted. Finally, the parameters of the LSTM model were optimised using the GAPSO, and the improved LSTM model was used to train and test the blood flow spectrum feature set. The results show that the suction detection method of the FFT-GAPSO-LSTM model can effectively detect whether centrifugal blood pump suction occurs and has certain advantages over other methods. In addition, the simulation results of the suction suppression were excellent and could effectively suppress the occurrence of suction. These results provide a reference for the design of centrifugal blood pump control systems.
Language	English
Publishing date	2024-02-08
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e25992
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Book ; Online: UNIT-DSR

Wang, Yuejiao / Wu, Xixin / Wang, Disong / Meng, Lingwei / Meng, Helen

Dysarthric Speech Reconstruction System Using Speech Unit Normalization

2024

Abstract: Dysarthric speech reconstruction (DSR) systems aim to automatically convert dysarthric speech into normal-sounding speech. The technology eases communication with speakers affected by the neuromotor disorder and enhances their social inclusion. NED-based ...

Abstract	Dysarthric speech reconstruction (DSR) systems aim to automatically convert dysarthric speech into normal-sounding speech. The technology eases communication with speakers affected by the neuromotor disorder and enhances their social inclusion. NED-based (Neural Encoder-Decoder) systems have significantly improved the intelligibility of the reconstructed speech as compared with GAN-based (Generative Adversarial Network) approaches, but the approach is still limited by training inefficiency caused by the cascaded pipeline and auxiliary tasks of the content encoder, which may in turn affect the quality of reconstruction. Inspired by self-supervised speech representation learning and discrete speech units, we propose a Unit-DSR system, which harnesses the powerful domain-adaptation capacity of HuBERT for training efficiency improvement and utilizes speech units to constrain the dysarthric content restoration in a discrete linguistic space. Compared with NED approaches, the Unit-DSR system only consists of a speech unit normalizer and a Unit HiFi-GAN vocoder, which is considerably simpler without cascaded sub-modules or auxiliary tasks. Results on the UASpeech corpus indicate that Unit-DSR outperforms competitive baselines in terms of content restoration, reaching a 28.2% relative average word error rate reduction when compared to original dysarthric speech, and shows robustness against speed perturbation and noise. Comment: Accepted to ICASSP 2024
Keywords	Computer Science - Sound ; Computer Science - Computation and Language ; Electrical Engineering and Systems Science - Audio and Speech Processing
Subject code	400
Publishing date	2024-01-26
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online ; Thesis: The Mythology of Tourism

Meng, Lingwei [Verfasser]

The Works of Sir Walter Scott and the Development of Tourism in Scotland

2018

Author's details	Lingwei Meng
Keywords	Wirtschaft ; Economics
Subject code	sg330
Language	English
Publisher	Peter Lang GmbH, Internationaler Verlag der Wissenschaften
Publishing place	Frankfurt a.M.
Document type	Book ; Online ; Thesis
ISBN	978-3-631-75938-7 ; 3-631-75938-X
Database	Digital theses on the web

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Article ; Online: Ultrasound-mediated HGF Gene Microbubbles Mitigate Hyperkinetic Pulmonary Arterial Hypertension in Rabbits.

Liu, Chuanzhen / Lv, Xin / Kong, Xiangjin / Meng, Lingwei / Wei, Kaiming / Wei, Ruyuan / Tang, Mengmeng / Li, Jianhua / Cao, Guangqing

Heart, lung & circulation

2024 Volume 33, Issue 2, Page(s) 251–259

Abstract: Aim: Hyperkinetic pulmonary arterial hypertension (PAH) is a complication of congenital heart disease. Gene therapy is a new experimental treatment for PAH, and ultrasound-mediated gene-carrying microbubble targeted delivery is a promising development ... ...

Abstract	Aim: Hyperkinetic pulmonary arterial hypertension (PAH) is a complication of congenital heart disease. Gene therapy is a new experimental treatment for PAH, and ultrasound-mediated gene-carrying microbubble targeted delivery is a promising development for gene transfer. Methods: This study successfully established a hyperkinetic PAH rabbit model by a common carotid artery and jugular vein shunt using the cuff style method. Liposome microbubbles carrying the hepatocyte growth factor (HGF) gene were successfully constructed. An in vitro experiment evaluated the appropriate intensity of ultrasonic radiation by Western blots and 3H-TdR incorporation assays. In an in vivo experiment, after transfection of ultrasound-mediated HGF gene microbubbles, catheterisation was applied to collect haemodynamic data. Hypertrophy of the right ventricle was evaluated by measuring the right ventricle hypertrophy index. Western blot and immunohistochemistry analyses were used to detect the expression of human (h)HGF and angiogenic effects, respectively. Results: The most appropriate ultrasonic radiation intensity was 1.0 W/cm Conclusions: Ultrasound-mediated HGF gene microbubbles significantly improved the target of gene therapy in a rabbit PAH model and enhanced the tropism and transfection rates. Thus, the technique can effectively promote small pulmonary angiogenesis and play a role in the treatment of PAH without adverse reactions.
MeSH term(s)	Animals ; Rabbits ; Humans ; Pulmonary Arterial Hypertension ; Hypertension, Pulmonary/genetics ; Hypertension, Pulmonary/therapy ; Hypertension, Pulmonary/diagnosis ; Microbubbles ; Hepatocyte Growth Factor/genetics ; Familial Primary Pulmonary Hypertension ; Hypertrophy
Chemical Substances	Hepatocyte Growth Factor (67256-21-7) ; HGF protein, human
Language	English
Publishing date	2024-02-01
Publishing country	Australia
Document type	Journal Article
ZDB-ID	2020980-0
ISSN	1444-2892 ; 1443-9506
ISSN (online)	1444-2892
ISSN	1443-9506
DOI	10.1016/j.hlc.2023.11.013
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Zs.A 4988: Show issues

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Article ; Online: Applications of Sponge Iron and Effects of Organic Carbon Source on Sulfate-Reducing Ammonium Oxidation Process.

Zhu, Yanjun / Yang, Shidong / Wang, Weizhuo / Meng, Lingwei / Guo, Jingbo

International journal of environmental research and public health

2022 Volume 19, Issue 4

Abstract: The typical characteristics of wastewater produced from seafood, chemical, textile, and paper industries are that it contains ammonia, sulfate, and a certain amount of chemical oxygen demand (COD). The sulfate-reducing ammonium oxidation process is a ... ...

Abstract	The typical characteristics of wastewater produced from seafood, chemical, textile, and paper industries are that it contains ammonia, sulfate, and a certain amount of chemical oxygen demand (COD). The sulfate-reducing ammonium oxidation process is a biochemical reaction that allows both ammonia and sulfate removal, but its low growth rate and harsh reaction conditions limit its practical application. Due to the adsorption properties of the iron sponge and its robust structure, it provides a suitable living environment for microorganisms. To reduce the negative impact on the environment, we employed 4.8 kg of sponge iron in a 2.0 dm
MeSH term(s)	Ammonium Compounds ; Anaerobiosis ; Bioreactors ; Carbon ; Iron ; Nitrogen/analysis ; Oxidation-Reduction ; Sewage/chemistry ; Sulfates/metabolism ; Waste Water
Chemical Substances	Ammonium Compounds ; Sewage ; Sulfates ; Waste Water ; Carbon (7440-44-0) ; Iron (E1UOL152H7) ; Nitrogen (N762921K75)
Language	English
Publishing date	2022-02-17
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph19042283
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