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Article: Reactive Oxygen Species in Cardiovascular Calcification: Role of Medicinal Plants.

Qiao, Yu

2022 Volume 13, Page(s) 858160

Abstract: Cardiovascular calcification, including vascular calcification and calcific aortic valve disease (CAVD), is a serious worldwide health problem, especially in older adults. The mechanisms underlying cardiovascular calcifications are complex and ... ...

Abstract	Cardiovascular calcification, including vascular calcification and calcific aortic valve disease (CAVD), is a serious worldwide health problem, especially in older adults. The mechanisms underlying cardiovascular calcifications are complex and multifactorial. An increase in reactive oxygen species (ROS) and oxidative stress play important roles in the initiation and development of cardiovascular calcification. This mini-review summarizes the recent evidence that supports the association of ROS with vascular calcification and CAVD and discusses the role of medicinal plants for the prevention and treatment of cardiovascular calcification.
Language	English
Publishing date	2022-03-15
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2587355-6
ISSN	1663-9812
ISSN	1663-9812
DOI	10.3389/fphar.2022.858160
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Helicobacter pylori Therapy and Risk of Gastric Cancer After Endoscopic Resection of Dysplasia: A Sensitivity Analysis Assessing Impact of Unmeasured Confounding.

Li, Guo-Fu / Qiao, Yu-Wei / Yu, Guo

Gastroenterology

2024

Language	English
Publishing date	2024-03-15
Publishing country	United States
Document type	Letter
ZDB-ID	80112-4
ISSN	1528-0012 ; 0016-5085
ISSN (online)	1528-0012
ISSN	0016-5085
DOI	10.1053/j.gastro.2024.03.010
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Article ; Online: A Prediction Method of Ionospheric hmF2 Based on Machine Learning

Jian Wang / Qiao Yu / Yafei Shi / Cheng Yang

Remote Sensing, Vol 15, Iss 3154, p

2023 Volume 3154

Abstract: The ionospheric F2 layer is the essential layer in the propagation of high-frequency radio waves, and the peak electron density height of the ionospheric F2 layer (hmF2) is one of the important parameters. To improve the predicted accuracy of hmF2 for ... ...

Abstract	The ionospheric F2 layer is the essential layer in the propagation of high-frequency radio waves, and the peak electron density height of the ionospheric F2 layer (hmF2) is one of the important parameters. To improve the predicted accuracy of hmF2 for further improving the ability of HF skywave propagation prediction and communication frequency selection, we present an interpretable long-term prediction model of hmF2 using the statistical machine learning (SML) method. Taking Moscow station as an example, this method has been tested using the ionospheric observation data from August 2011 to October 2016. Only by inputting sunspot number, month, and universal time into the proposed model can the predicted value of hmF2 be obtained for the corresponding time. Finally, we compare the predicted results of the proposed model with those of the International Reference Ionospheric (IRI) model to verify its stability and reliability. The result shows that, compared with the IRI model, the predicted average statistical RMSE decreased by 5.20 km, and RRMSE decreased by 1.78%. This method is expected to provide ionospheric parameter prediction accuracy on a global scale.
Keywords	ionosphere ; peak height of F2 layer ; hmF2 ; machine learning ; prediction ; Science ; Q
Subject code	006
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Constructing Assessment Indicators Weight System of Digital Business Chinese Materials

Qiao-Yu Warren Cai

SAGE Open, Vol

2021 Volume 11

Abstract: Learning business Chinese through digital materials has become an inevitable tendency with the growth of the internet and impact of the COVID-19 pandemic. Despite the increasing research-based publications and practices relating to Chinese language ... ...

Abstract	Learning business Chinese through digital materials has become an inevitable tendency with the growth of the internet and impact of the COVID-19 pandemic. Despite the increasing research-based publications and practices relating to Chinese language textbooks, there is a dearth of assessment indicators weight systems constructed by alternative research tools and statistical methods to evaluate the quality of the growing digital business Chinese materials. To the best of our knowledge, no literature review has been published on using the analytic hierarchy process (AHP) method to construct the assessment indicators of digital business Chinese materials. Therefore, this study aims to fill this gap by reviewing the existing, but limited, literature and providing recommendations for developing a checklist—based on the assessment indicators weight system—to evaluate digital business Chinese materials. The preliminary PC2U (Production, Content, Use, and Usefulness) assessment indicators are constructed based on the current research on business Chinese, CLTML, and relevant assessment indicators. In addition, the analysis hierarchy process (AHP) is used to construct the weight system. The results show that it is crucial to prioritize the access of digital business Chinese content. Of the three criteria in the content dimension, learning needs and credibility are equally important, and both are more important than data update. The assessment indicators are not only beneficial to fill the knowledge gap on business Chinese research, but also helpful for publishers and teachers to compile and select high quality digital business Chinese materials.
Keywords	History of scholarship and learning. The humanities ; AZ20-999 ; Social Sciences ; H
Subject code	650
Language	English
Publishing date	2021-09-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Does the separating of hospital revenue from drug sales reduce the burden on patients? Evidence from China

Lele Li / Qiao Yu

International Journal for Equity in Health, Vol 20, Iss 1, Pp 1-

2021 Volume 14

Abstract: Abstract Background Since 2015, all pilot cities of public hospital reform in China have allowed the zero-markup drug policy and implemented the policy of Separating of Hospital Revenue from Drug Sales (SHRDS). The objective of this study is to evaluate ... ...

Abstract	Abstract Background Since 2015, all pilot cities of public hospital reform in China have allowed the zero-markup drug policy and implemented the policy of Separating of Hospital Revenue from Drug Sales (SHRDS). The objective of this study is to evaluate whether SHRDS policy reduces the burden on patients, and to identify the mechanism through which SHRDS policy affects healthcare expenditure. Methods In this study, we use large sample data of urban employee’s healthcare insurance in Chengdu, and adopt the difference in difference model (DID) to estimate the impact of the SHRDS policy on total healthcare expenditures and drug expenditure of patients, and to provide empirical evidence for deepening medical and health system reform in China. Results After the SHRDS policy’s implementation, the total healthcare expenditure kept growing, but the growth rate slowed down between 2014 to 2015. The total healthcare expenditure of patients decreased by only 0.6%, the actual reimbursement expenditure of patients decreased by 4.1%, the reimbursement ratio decreased by 2.6%. and the drugs expenditure dropped by 14.4%. However, the examinations expenditure increased by 18.2%, material expenditure increased significantly by 38.5%, and nursing expenditure increased by 12.7%. Conclusions After implementing the SHRDS policy, the significant reduction in drug expenditure led to more physicians inducing patients’ healthcare service needs, and the increased social healthcare burden was partially transferred to the patients’ personal economic burden through the decline in the reimbursement ratio. The SHRDS policy is not an effective way to control healthcare expenditure.
Keywords	Separating of hospital revenue from drug sales (SHRDS) ; Healthcare insurance reimbursement (HIR) ; Healthcare expenditure ; Difference in difference model (DID) ; Public aspects of medicine ; RA1-1270
Subject code	360
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Complementary transcriptomic and proteomic analyses elucidate the toxicological molecular mechanisms of deoxynivalenol-induced contractile dysfunction in enteric smooth muscle cells.

Qiao, Yu / Ji, Xu / Guo, Huiduo / Zheng, Weijiang / Yao, Wen

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association

2024 Volume 186, Page(s) 114545

Abstract: Deoxynivalenol (DON) is one of the frequent Fusarium mycotoxins and poses a serious threat to public health worldwide. DON-induced weight loss is tightly connected with its ability to decrease feed intake by influencing gastrointestinal tract (GIT) ... ...

Abstract	Deoxynivalenol (DON) is one of the frequent Fusarium mycotoxins and poses a serious threat to public health worldwide. DON-induced weight loss is tightly connected with its ability to decrease feed intake by influencing gastrointestinal tract (GIT) motility. Our previous reports indicated that DON interfered with intestinal motility by injuring the contractility of enteric smooth muscle cells (SMC). Here, we further explored the potential mechanisms by employing a complementary method of transcriptomics and proteomics using the porcine enteric smooth muscle cell line (PISMC) as an experimental model. The transcriptomic and proteomic data uncover that the expression of numerous extracellular matrix (ECM) proteins and multiple integrin subunits were downregulated in PISMC under DON exposure, suppressing the ECM-integrin receptor interaction and its mediated signaling. Furthermore, DON treatment could depress actin polymerization, as reflected by the upregulated expression of Rho GTPase-activating proteins and cofilin in PISMC. Meanwhile, the expression levels of downstream contractile apparatus genes were significantly inhibited after challenge with DON. Taken together, the current results suggest that DON inhibits enteric SMC contractility by regulating the ECM-integrin-actin polymerization signaling pathway. Our findings provide novel insights into the potential mechanisms behind the DON toxicological effects in the GIT of humans and animals.
MeSH term(s)	Swine ; Humans ; Animals ; Transcriptome ; Actins/genetics ; Proteomics ; Mycotoxins/pharmacology ; Gene Expression Profiling ; Myocytes, Smooth Muscle ; Integrins ; Trichothecenes
Chemical Substances	deoxynivalenol (JT37HYP23V) ; Actins ; Mycotoxins ; Integrins ; Trichothecenes
Language	English
Publishing date	2024-02-23
Publishing country	England
Document type	Journal Article
ZDB-ID	782617-5
ISSN	1873-6351 ; 0278-6915
ISSN (online)	1873-6351
ISSN	0278-6915
DOI	10.1016/j.fct.2024.114545
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Article ; Online: Hybrid-Electrolytes System Established by Dual Super-lyophobic Membrane Enabling High-Voltage Aqueous Lithium Metal Batteries.

Wang, Qifei / Wang, Changhao / Qiao, Yu / Zhou, Haoshen / Yu, Jihong

Advanced materials (Deerfield Beach, Fla.)

2024 , Page(s) e2401486

Abstract: Aqueous electrolytes and related aqueous rechargeable batteries own unique advantage on safety and environmental friendliness, but coupling high energy density Li-metal batteries with aqueous electrolyte still represent challenging and not yet reported. ... ...

Abstract	Aqueous electrolytes and related aqueous rechargeable batteries own unique advantage on safety and environmental friendliness, but coupling high energy density Li-metal batteries with aqueous electrolyte still represent challenging and not yet reported. Here, this work makes a breakthrough in "high-voltage aqueous Li-metal batteries" (HVALMBs) by adopting a brilliant hybrid-electrolytes strategy. Concentrated ternary-salts ether-based electrolyte (CTE) acts as the anolyte to ensure the stability and reversibility of Li-metal plating/stripping. Eco-friendly water-in-salt (WiS) electrolyte acts as catholyte to support the healthy operation of high-voltage cathodes. Most importantly, the aqueous catholyte and non-aqueous anolyte are isolated in each independent chamber without any crosstalk. Aqueous catholyte permeation toward Li anode can be completely prohibited without proton-induced corrosion, which is enabled by the introduction of under-liquid dual super-lyophobic membrane-based separator, which can realize the segregation of the most effective immiscible electrolytes with a surface tension difference as small as 6 mJ m
Language	English
Publishing date	2024-04-12
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1474949-X
ISSN	1521-4095 ; 0935-9648
ISSN (online)	1521-4095
ISSN	0935-9648
DOI	10.1002/adma.202401486
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Book ; Online: Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection

Huang, Mouxiao / Qiao, Yu

2023

Abstract: Out-of-distribution (OOD) detection is critical for preventing deep learning models from making incorrect predictions to ensure the safety of artificial intelligence systems. Especially in safety-critical applications such as medical diagnosis and ... ...

Abstract	Out-of-distribution (OOD) detection is critical for preventing deep learning models from making incorrect predictions to ensure the safety of artificial intelligence systems. Especially in safety-critical applications such as medical diagnosis and autonomous driving, the cost of incorrect decisions is usually unbearable. However, neural networks often suffer from the overconfidence issue, making high confidence for OOD data which are never seen during training process and may be irrelevant to training data, namely in-distribution (ID) data. Determining the reliability of the prediction is still a difficult and challenging task. In this work, we propose Uncertainty-Estimation with Normalized Logits (UE-NL), a robust learning method for OOD detection, which has three main benefits. (1) Neural networks with UE-NL treat every ID sample equally by predicting the uncertainty score of input data and the uncertainty is added into softmax function to adjust the learning strength of easy and hard samples during training phase, making the model learn robustly and accurately. (2) UE-NL enforces a constant vector norm on the logits to decouple the effect of the increasing output norm from optimization process, which causes the overconfidence issue to some extent. (3) UE-NL provides a new metric, the magnitude of uncertainty score, to detect OOD data. Experiments demonstrate that UE-NL achieves top performance on common OOD benchmarks and is more robust to noisy ID data that may be misjudged as OOD data by other methods. Comment: 7 pages, 1 figure, 7 tables, preprint
Keywords	Computer Science - Machine Learning ; Computer Science - Computer Vision and Pattern Recognition
Subject code	006
Publishing date	2023-02-15
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Probiotic Properties of Loigolactobacillus coryniformis NA-3 and In Vitro Comparative Evaluation of Live and Heat-Killed Cells for Antioxidant, Anticancer and Immunoregulatory Activities

Xu, Xiaoqing / Qiao, Yu / Peng, Qing / Shi, Bo

Foods. 2023 Mar. 06, v. 12, no. 5

2023

Abstract: Some Latiactobacilli are often used as probiotics due to their functional activities, including antioxidant, anticancer and immunoregulation effect. Loigolactobacillus coryniformis NA-3 obtained from our laboratory is a promising probiotic according to ... ...

Abstract	Some Latiactobacilli are often used as probiotics due to their functional activities, including antioxidant, anticancer and immunoregulation effect. Loigolactobacillus coryniformis NA-3 obtained from our laboratory is a promising probiotic according to the previous study. Coculture, the Oxford cup test and disk-diffusion methods were used to evaluate the probiotic properties and antibiotic resistance of L. coryniformis NA-3. The antioxidant activities of live and heat-killed L. coryniformis NA-3 were assessed via radicals’ scavenging ability. The potential anticancer and immunoregulatory capacity was determined in vitro using cell lines. The results indicate that L. coryniformis NA-3 has antibacterial activity and cholesterol removal ability and is sensitive to most antibiotics. Dead L. coryniformis NA-3 can scavenge free radicals as well as live strains. Live L. coryniformis NA-3 can significantly inhibit the proliferation of colon cancer cells; however, dead cells cannot. After RAW 264.7 macrophages were treated with live and heat-killed L. coryniformis NA-3, the production of NO, IL-6, TNF-α and reactive oxygen species (ROS) was induced. The increased expression of inducible nitric oxide synthase (iNOS) in treated macrophages mediates the production of NO. In conclusion, L. coryniformis NA-3 showed potential probiotic properties, and the heat-killed strain also exhibited activities similar to those of live bacteria, suggesting the possible value of its further application in the food processing and pharmaceutical industries.
Keywords	antibacterial properties ; antibiotic resistance ; cholesterol ; coculture ; colorectal neoplasms ; immunomodulation ; inducible nitric oxide synthase ; interleukin-6 ; macrophages ; probiotics ; reactive oxygen species
Language	English
Dates of publication	2023-0306
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article ; Online
ZDB-ID	2704223-6
ISSN	2304-8158
ISSN	2304-8158
DOI	10.3390/foods12051118
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: An Explainable Dynamic Prediction Method for Ionospheric fo F2 Based on Machine Learning

Jian Wang / Qiao Yu / Yafei Shi / Yiran Liu / Cheng Yang

Remote Sensing, Vol 15, Iss 1256, p

2023 Volume 1256

Abstract: To further improve the prediction accuracy of the critical frequency of the ionospheric F2 layer ( fo F2), we use the machine learning method (ML) to establish an explanatory dynamic model to predict fo F2. Firstly, according to the ML modeling process, ... ...

Abstract	To further improve the prediction accuracy of the critical frequency of the ionospheric F2 layer ( fo F2), we use the machine learning method (ML) to establish an explanatory dynamic model to predict fo F2. Firstly, according to the ML modeling process, the three elements of establishing a prediction model of fo F2 and four problems to be solved are determined, and the idea and concrete steps of model building are determined. Then the data collection is explained in detail, and according to the modeling process, fo F2 dynamic change mapping and its parameters are determined in turn. Finally, the established model is compared with the International Reference Ionospheric model (IRI-2016) and the Asian Regional fo F2 Model (ARFM) to verify the validity and reliability. The results show that compared with the IRI-URSI, IRI-CCIR, and ARFM models, the statistical average error of the established model decreased by 0.316 MHz, 0.132 MHz, and 0.007 MHz, respectively. Further, the statistical average relative root-mean-square error decreased by 9.62%, 4.05%, and 0.15%, respectively.
Keywords	ionospheric fo F2 ; machine learning ; dynamic prediction ; Science ; Q
Subject code	690
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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