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Article ; Online: Dietary inflammatory potential and the risk of nonfatal cardiovascular diseases in the China Health and Nutrition Survey.

Liu, Bangquan / Ren, Xiyun / Tian, Wenjing

Nutrition (Burbank, Los Angeles County, Calif.)

2024 Volume 124, Page(s) 112469

Abstract: Background: To our knowledge, no evidence exists to link dietary inflammatory potential to cardiovascular disease (CVD) in China. Furthermore, the precise mechanisms underlying the link between a pro-inflammatory diet and CVD remain incompletely ... ...

Abstract	Background: To our knowledge, no evidence exists to link dietary inflammatory potential to cardiovascular disease (CVD) in China. Furthermore, the precise mechanisms underlying the link between a pro-inflammatory diet and CVD remain incompletely understood. Objective: We aimed to investigate the relationship between dietary inflammatory potential and nonfatal CVD in the Chinese population and to explore the mediating role of insulin resistance. Methods: A total of 4822 adults who participated in the China Health and Nutrition Survey (CHNS) were included in this analysis. The dietary inflammatory index (DII) was used to assess dietary inflammatory potential. Cox proportional hazards models and restricted cubic spline were applied to assess the longitudinal associations. The triglyceride-glucose (TyG) index was calculated to measure insulin resistance. Mediation analysis using a two-stage regression method for survival data was employed to explore the mediating effects of the TyG index on the association between DII score and nonfatal CVD. Results: During a median follow-up of 18 y, 234 incident cases of nonfatal CVD, including 136 strokes and 114 myocardial infarctions (MIs), were observed. For each standard deviation of the DII score, nonfatal CVD incidence increased by 15% (hazard ratio [HR]: 1.15, 95% confidence interval [CI]: 1.01-1.31), and stroke incidence increased by 22% (HR = 1.22, 95% CI: 1.03-1.45). DII score displayed a linear association with nonfatal CVD and stroke (P for nonlinearity = 0.250 and 0.238, respectively). No significant association was found between the DII score and MI. Mediation analyses showed that the TyG index mediated 5.90% and 9.35% of the total association between DII score and nonfatal CVD and stroke, respectively. Conclusions: This study provides evidence that dietary inflammatory potential is positively associated with nonfatal CVD and stroke in Chinese adults, and the association was partly mediated by insulin resistance.
Language	English
Publishing date	2024-04-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	639259-3
ISSN	1873-1244 ; 0899-9007
ISSN (online)	1873-1244
ISSN	0899-9007
DOI	10.1016/j.nut.2024.112469
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Article: Optical coherence tomography image despeckling based on tensor singular value decomposition and fractional edge detection.

Fang, Ying / Shao, Xia / Liu, Bangquan / Lv, Hongli

Heliyon

2023 Volume 9, Issue 7, Page(s) e17735

Abstract: Optical coherence tomography (OCT) imaging is a technique that is frequently used to diagnose medical conditions. However, coherent noise, sometimes referred to as speckle noise, can dramatically reduce the quality of OCT images, which has an adverse ... ...

Abstract	Optical coherence tomography (OCT) imaging is a technique that is frequently used to diagnose medical conditions. However, coherent noise, sometimes referred to as speckle noise, can dramatically reduce the quality of OCT images, which has an adverse effect on how OCT images are used. In order to enhance the quality of OCT images, a speckle noise reduction technique is developed, and this method is modelled as a low-rank tensor approximation issue. The grouped 3D tensors are first transformed into the transform domain using tensor singular value decomposition (
Language	English
Publishing date	2023-06-29
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2023.e17735
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Article ; Online: Comprehensive evaluation for the sustainable development of fresh agricultural products logistics enterprises based on combination empowerment-TOPSIS method.

Sun, Dechao / Hu, Xuefang / Liu, Bangquan

PeerJ. Computer science

2023 Volume 9, Page(s) e1719

Abstract: To solve the problems of environmental pollution and resource waste caused by the rapid development of cold chain logistics of fresh agricultural products and improve the competitiveness of logistics enterprises in the market, a performance evaluation ... ...

Abstract	To solve the problems of environmental pollution and resource waste caused by the rapid development of cold chain logistics of fresh agricultural products and improve the competitiveness of logistics enterprises in the market, a performance evaluation method of cold chain logistics enterprises based on the combined empowerment-TOPSIS was proposed. Firstly, from the five dimensions of cold supply chain capacity, service quality, economic efficiency, informatization degree and development ability, a comprehensive evaluation system of logistics enterprises' sustainable development is constructed, which consists of 16 indicators, such as storage and preservation capacity, distribution accuracy, and equipment input rate. Then, G1 method and entropy weight method are used to calculate the subjective and objective weights of the evaluation indicators, and the combined weights are calculated with the objective of minimizing the deviation of the subjective and objective weighted attributes. Finally, the TOPSIS method is used to calculate the comprehensive evaluation indicators. The results show that the established performance evaluation model can effectively evaluate the performance of fresh agricultural products logistics enterprises and provide theoretical basis for enterprise logistics management.
Language	English
Publishing date	2023-12-12
Publishing country	United States
Document type	Journal Article
ISSN	2376-5992
ISSN (online)	2376-5992
DOI	10.7717/peerj-cs.1719
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Article ; Online: Compact plasmon modulator based on the spatial control of carrier density in indium tin oxide.

Hu, Xuefang / Yang, Sisi / Zhou, Guangyu / Liu, Bangquan / Sun, Dechao / Lu, Mengjia / Lu, Changgui

Applied optics

2023 Volume 62, Issue 32, Page(s) 8654–8660

Abstract: To keep pace with the demands of semiconductor integration technology, a semiconductor device should offer a small footprint. Here, we demonstrate a compact electro-optic modulator by controlling the spatial distribution of carrier density in indium tin ... ...

Abstract	To keep pace with the demands of semiconductor integration technology, a semiconductor device should offer a small footprint. Here, we demonstrate a compact electro-optic modulator by controlling the spatial distribution of carrier density in indium tin oxide (ITO). The proposed structure is mainly composed of a symmetrical metal electrode layer, calcium fluoride dielectric layer, and an ITO propagating layer. The carrier density on the surface of the ITO exhibits a periodical distribution when the voltage is applied on the electrode, which greatly enhances the interaction between the surface plasmon polaritons (SPPs) and the ITO. This structure can not only effectively improve the modulation depth of the modulator, but also can further reduce the device size. The numerical results indicate that when the length, width, and height of the device are 14 µm, 5 µm, and 8 µm, respectively, the modulation depth can reach 37.1 dB at a wavelength of 3.66 µm. The structure can realize a broadband modulation in theory only if we select a different period of the electrode corresponding to the propagating wavelength of SPPs because the modulator is based on the scattering effect principle. This structure could potentially have high applicability for optoelectronic integration, optical communications, and optical sensors in the future.
Language	English
Publishing date	2023-12-01
Publishing country	United States
Document type	Journal Article
ISSN	1539-4522
ISSN (online)	1539-4522
DOI	10.1364/AO.505066
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Article: Research on classification method of high myopic maculopathy based on retinal fundus images and optimized ALFA-Mix active learning algorithm.

Zhu, Shao-Jun / Zhan, Hao-Dong / Wu, Mao-Nian / Zheng, Bo / Liu, Bang-Quan / Zhang, Shao-Chong / Yang, Wei-Hua

International journal of ophthalmology

2023 Volume 16, Issue 7, Page(s) 995–1004

Abstract: Aim: To conduct a classification study of high myopic maculopathy (HMM) using limited datasets, including tessellated fundus, diffuse chorioretinal atrophy, patchy chorioretinal atrophy, and macular atrophy, and minimize annotation costs, and to ... ...

Abstract	Aim: To conduct a classification study of high myopic maculopathy (HMM) using limited datasets, including tessellated fundus, diffuse chorioretinal atrophy, patchy chorioretinal atrophy, and macular atrophy, and minimize annotation costs, and to optimize the ALFA-Mix active learning algorithm and apply it to HMM classification. Methods: The optimized ALFA-Mix algorithm (ALFA-Mix+) was compared with five algorithms, including ALFA-Mix. Four models, including ResNet18, were established. Each algorithm was combined with four models for experiments on the HMM dataset. Each experiment consisted of 20 active learning rounds, with 100 images selected per round. The algorithm was evaluated by comparing the number of rounds in which ALFA-Mix+ outperformed other algorithms. Finally, this study employed six models, including EfficientFormer, to classify HMM. The best-performing model among these models was selected as the baseline model and combined with the ALFA-Mix+ algorithm to achieve satisfactory classification results with a small dataset. Results: ALFA-Mix+ outperforms other algorithms with an average superiority of 16.6, 14.75, 16.8, and 16.7 rounds in terms of accuracy, sensitivity, specificity, and Kappa value, respectively. This study conducted experiments on classifying HMM using several advanced deep learning models with a complete training set of 4252 images. The EfficientFormer achieved the best results with an accuracy, sensitivity, specificity, and Kappa value of 0.8821, 0.8334, 0.9693, and 0.8339, respectively. Therefore, by combining ALFA-Mix+ with EfficientFormer, this study achieved results with an accuracy, sensitivity, specificity, and Kappa value of 0.8964, 0.8643, 0.9721, and 0.8537, respectively. Conclusion: The ALFA-Mix+ algorithm reduces the required samples without compromising accuracy. Compared to other algorithms, ALFA-Mix+ outperforms in more rounds of experiments. It effectively selects valuable samples compared to other algorithms. In HMM classification, combining ALFA-Mix+ with EfficientFormer enhances model performance, further demonstrating the effectiveness of ALFA-Mix+.
Language	English
Publishing date	2023-07-18
Publishing country	China
Document type	Journal Article
ZDB-ID	2663246-9
ISSN	2227-4898 ; 2222-3959
ISSN (online)	2227-4898
ISSN	2222-3959
DOI	10.18240/ijo.2023.07.01
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Article: Identification of Tumor Microenvironment and DNA Methylation-Related Prognostic Signature for Predicting Clinical Outcomes and Therapeutic Responses in Cervical Cancer.

Liu, Bangquan / Zhai, Jiabao / Wang, Wanyu / Liu, Tianyu / Liu, Chang / Zhu, Xiaojie / Wang, Qi / Tian, Wenjing / Zhang, Fubin

Frontiers in molecular biosciences

2022 Volume 9, Page(s) 872932

Abstract: Background: ...

Abstract	Background:
Language	English
Publishing date	2022-04-19
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2814330-9
ISSN	2296-889X
ISSN	2296-889X
DOI	10.3389/fmolb.2022.872932
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Article: Artificial intelligence assisted pterygium diagnosis: current status and perspectives.

Chen, Bang / Fang, Xin-Wen / Wu, Mao-Nian / Zhu, Shao-Jun / Zheng, Bo / Liu, Bang-Quan / Wu, Tao / Hong, Xiang-Qian / Wang, Jian-Tao / Yang, Wei-Hua

International journal of ophthalmology

2023 Volume 16, Issue 9, Page(s) 1386–1394

Abstract: Pterygium is a prevalent ocular disease that can cause discomfort and vision impairment. Early and accurate diagnosis is essential for effective management. Recently, artificial intelligence (AI) has shown promising potential in assisting clinicians with ...

Abstract	Pterygium is a prevalent ocular disease that can cause discomfort and vision impairment. Early and accurate diagnosis is essential for effective management. Recently, artificial intelligence (AI) has shown promising potential in assisting clinicians with pterygium diagnosis. This paper provides an overview of AI-assisted pterygium diagnosis, including the AI techniques used such as machine learning, deep learning, and computer vision. Furthermore, recent studies that have evaluated the diagnostic performance of AI-based systems for pterygium detection, classification and segmentation were summarized. The advantages and limitations of AI-assisted pterygium diagnosis and discuss potential future developments in this field were also analyzed. The review aims to provide insights into the current state-of-the-art of AI and its potential applications in pterygium diagnosis, which may facilitate the development of more efficient and accurate diagnostic tools for this common ocular disease.
Language	English
Publishing date	2023-09-18
Publishing country	China
Document type	Journal Article
ZDB-ID	2663246-9
ISSN	2227-4898 ; 2222-3959
ISSN (online)	2227-4898
ISSN	2222-3959
DOI	10.18240/ijo.2023.09.04
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Article ; Online: Biomedical association analysis between G2/M checkpoint genes and susceptibility to HIV-1 infection and AIDS progression from a northern chinese MSM population.

Wu, Jiawei / Xu, Lidan / Liu, Bangquan / Sun, Wenjing / Hu, Yuanting / Yang, Yi / Guo, Keer / Jia, Xueyuan / Sun, Haiming / Wu, Jie / Huang, Yun / Ji, Wei / Fu, Songbin / Qiao, Yuandong / Zhang, Xuelong

AIDS research and therapy

2023 Volume 20, Issue 1, Page(s) 51

Abstract: Background: MSM are at high risk of HIV infection. Previous studies have shown that the cell cycle regulation plays an important role in HIV-1 infection, especially at the G2/M checkpoint. ATR, Chk1, Cdc25C and CDK1 are key genes of G2/M checkpoint. ... ...

Abstract	Background: MSM are at high risk of HIV infection. Previous studies have shown that the cell cycle regulation plays an important role in HIV-1 infection, especially at the G2/M checkpoint. ATR, Chk1, Cdc25C and CDK1 are key genes of G2/M checkpoint. However, the association between SNPs of these genes and susceptibility to HIV-1 infection and AIDS progression remains unknown. Methods: In this study, 42 tSNPs from the above four G2/M checkpoint genes were genotyped in 529 MSM and 529 control subjects from northern China to analyze this association. Results: The results showed that rs34660854 A and rs75368165 A in ATR gene and rs3756766 A in Cdc25C gene could increase the risk of HIV-1 infection (P = 0.049, OR = 1.234, 95% CI 1.001-1.521; P = 0.020, OR = 1.296, 95% CI 1.042-1.611; P = 0.011, OR = 1.392, 95% CI 1.080-1.794, respectively), while Chk1 rs10893405 (P = 0.029, OR = 1.629, 95% CI 1.051-2.523) were significantly associated with AIDS progression. Besides, rs34660854 (P = 0.019, OR = 1.364, 95% CI 1.052-1.769; P = 0.022, OR = 1.337, 95% CI 1.042-1.716, under Codominant model and Dominant model, respectively) and rs75368165 (P = 0.006, OR = 1.445, 95% CI = 1.114-1.899; P = 0.007, OR = 1.418, 95% CI 1.099-1.831, under Codominant model and Dominant model, respectively) in ATR gene, rs12576279 (P = 0.013, OR = 0.343, 95% CI 0.147-0.800; P = 0.048, OR = 0.437, 95% CI 0.192-0.991, under Codominant model and Dominant model, respectively) and rs540436 (P = 0.012, OR = 1.407, 95% CI 1.077-1.836; P = 0.021, OR = 1.359, 95% CI 1.048-1.762, under Codominant model and Dominant model, respectively) in Chk1 gene, rs3756766 (P = 0.013, OR = 1.455, 95% CI 1.083-1.954; P = 0.009, OR = 1.460, 95% CI 1.098-1.940, under Codominant model and Dominant model, respectively) in Cdc25C gene and rs139245206 (P = 0.022, OR = 5.011, 95% CI 1.267-19.816; P = 0.020, OR = 5.067, 95% CI 1.286-19.970, under Codominant model and Recessive model, respectively) in CDK1 gene were significantly associated with HIV-1 infection under different models. Conclusions: We found that genetic variants of G2/M checkpoint genes had a molecular influence on the occurrence of HIV-1 infection and AIDS progression in a northern Chinese MSM population.
MeSH term(s)	Humans ; Male ; Acquired Immunodeficiency Syndrome/epidemiology ; Acquired Immunodeficiency Syndrome/genetics ; East Asian People ; HIV Infections/epidemiology ; HIV Infections/genetics ; HIV-1 ; Homosexuality, Male ; Sexual and Gender Minorities ; Cell Cycle Checkpoints/genetics
Chemical Substances	ATR protein, human (EC 2.7.11.1) ; CHEK1 protein, human (EC 2.7.11.1) ; CDC25C protein, human (EC 3.1.3.48) ; CDK1 protein, human (EC 2.7.11.22)
Language	English
Publishing date	2023-07-19
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2173450-1
ISSN	1742-6405 ; 1742-6405
ISSN (online)	1742-6405
ISSN	1742-6405
DOI	10.1186/s12981-023-00536-w
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Article: [CT and MRI fusion based on generative adversarial network and convolutional neural networks under image enhancement].

Liu, Yunpeng / Li, Jin / Wang, Yu / Cai, Wenli / Chen, Fei / Liu, Wenjie / Mao, Xianhao / Gan, Kaifeng / Wang, Renfang / Sun, Dechao / Qiu, Hong / Liu, Bangquan

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi

2023 Volume 40, Issue 2, Page(s) 208–216

Abstract: Aiming at the problems of missing important features, inconspicuous details and unclear textures in the fusion of multimodal medical images, this paper proposes a method of computed tomography (CT) image and magnetic resonance imaging (MRI) image fusion ... ...

Abstract	Aiming at the problems of missing important features, inconspicuous details and unclear textures in the fusion of multimodal medical images, this paper proposes a method of computed tomography (CT) image and magnetic resonance imaging (MRI) image fusion using generative adversarial network (GAN) and convolutional neural network (CNN) under image enhancement. The generator aimed at high-frequency feature images and used double discriminators to target the fusion images after inverse transform; Then high-frequency feature images were fused by trained GAN model, and low-frequency feature images were fused by CNN pre-training model based on transfer learning. Experimental results showed that, compared with the current advanced fusion algorithm, the proposed method had more abundant texture details and clearer contour edge information in subjective representation. In the evaluation of objective indicators, Q
MeSH term(s)	Image Processing, Computer-Assisted/methods ; Neural Networks, Computer ; Tomography, X-Ray Computed ; Magnetic Resonance Imaging/methods ; Algorithms
Language	Chinese
Publishing date	2023-05-01
Publishing country	China
Document type	English Abstract ; Journal Article
ZDB-ID	2576847-5
ISSN	1001-5515
ISSN	1001-5515
DOI	10.7507/1001-5515.202209050
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Article: Association of

Liu, Bangquan / Wang, Kaili / Wu, Jiawei / Hu, Yuanting / Yang, Xun / Xu, Lidan / Sun, Wenjing / Jia, Xueyuan / Wu, Jie / Fu, Songbin / Qiao, Yuandong / Zhang, Xuelong

Frontiers in genetics

2022 Volume 13, Page(s) 861355

Abstract: Background: ...

Abstract	Background:
Language	English
Publishing date	2022-03-16
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2606823-0
ISSN	1664-8021
ISSN	1664-8021
DOI	10.3389/fgene.2022.861355
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