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Article ; Online: Investor sentiment-aware prediction model for P2P lending indicators based on LSTM.

Cui, Yanyan / Liu, Lixin

2022 Volume 17, Issue 1, Page(s) e0262539

Abstract: In recent years, online lending has created many risks while providing lending convenience to Chinese individuals and small and medium-sized enterprises. The timely assessment and prediction of the status of industry indicators is an important ... ...

Abstract	In recent years, online lending has created many risks while providing lending convenience to Chinese individuals and small and medium-sized enterprises. The timely assessment and prediction of the status of industry indicators is an important prerequisite for effectively preventing the spread of risks in China's new financial formats. The role of investor sentiment should not be underestimated. We first use the BERT model to divide investor sentiment in the review information of China's online lending third-party information website into three categories and analyze the relationship between investor sentiment and quantitative indicators of online lending product transactions. The results show that the percentage of positive comments has a positive relationship to the borrowing interest rate of P2P platforms that investors are willing to participate in for bidding projects. The percentage of negative comments has an inverse relationship to the borrowing period. Second, after introducing investor sentiment into the long short-term memory (LSTM) model, the average RMSE of the three forecast periods for borrowing interest rates is 0.373, and that of the borrowing period is 0.262, which are better than the values of other control models. Corresponding suggestions for the risk prevention of China's new financial formats are made.
MeSH term(s)	Attitude ; Awareness ; Forecasting ; Humans ; Industry/economics ; Investments/economics
Language	English
Publishing date	2022-01-27
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0262539
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: CODENET: A deep learning model for COVID-19 detection.

Ju, Hong / Cui, Yanyan / Su, Qiaosen / Juan, Liran / Manavalan, Balachandran

Computers in biology and medicine

2024 Volume 171, Page(s) 108229

Abstract: Conventional COVID-19 testing methods have some flaws: they are expensive and time-consuming. Chest X-ray (CXR) diagnostic approaches can alleviate these flaws to some extent. However, there is no accurate and practical automatic diagnostic framework ... ...

Abstract	Conventional COVID-19 testing methods have some flaws: they are expensive and time-consuming. Chest X-ray (CXR) diagnostic approaches can alleviate these flaws to some extent. However, there is no accurate and practical automatic diagnostic framework with good interpretability. The application of artificial intelligence (AI) technology to medical radiography can help to accurately detect the disease, reduce the burden on healthcare organizations, and provide good interpretability. Therefore, this study proposes a new deep neural network (CNN) based on CXR for COVID-19 diagnosis - CodeNet. This method uses contrastive learning to make full use of latent image data to enhance the model's ability to extract features and generalize across different data domains. On the evaluation dataset, the proposed method achieves an accuracy as high as 94.20%, outperforming several other existing methods used for comparison. Ablation studies validate the efficacy of the proposed method, while interpretability analysis shows that the method can effectively guide clinical professionals. This work demonstrates the superior detection performance of a CNN using contrastive learning techniques on CXR images, paving the way for computer vision and artificial intelligence technologies to leverage massive medical data for disease diagnosis.
MeSH term(s)	Humans ; COVID-19/diagnostic imaging ; COVID-19 Testing ; Artificial Intelligence ; Deep Learning ; Neural Networks, Computer
Language	English
Publishing date	2024-02-29
Publishing country	United States
Document type	Journal Article
ZDB-ID	127557-4
ISSN	1879-0534 ; 0010-4825
ISSN (online)	1879-0534
ISSN	0010-4825
DOI	10.1016/j.compbiomed.2024.108229
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Article ; Online: Experimental dataset on the in-plane tensile, shear, and compressive properties of a carbon-epoxy twill woven composite

Liu, Felix / Grotz, Leana / Cui, Yanyan / Kirane, Kedar

Data in Brief. 2022 Dec., v. 45, p. 108650

2022 , Page(s) 108650

Abstract: This data article presents experimental data on the in-plane mechanical behavior of carbon-epoxy twill woven composites. Properties under tension, shear, and compression are measured and reported, which include force vs. stroke curves, stress vs. strain ... ...

Abstract	This data article presents experimental data on the in-plane mechanical behavior of carbon-epoxy twill woven composites. Properties under tension, shear, and compression are measured and reported, which include force vs. stroke curves, stress vs. strain curves, in-plane on-axis and off-axis moduli, in-plane shear modulus, tensile and compressive strengths, post-peak residual stress under compression, and on-axis and off-axis Poisson ratios. The experiments were conducted on a twill woven epoxy/carbon fiber composite. Laminate plates of the composite were ordered from a commercial vendor and specimens of desired dimensions were cut using a waterjet cutter. Tests were conducted in accordance with ASTM standards D3039 and D6641, under on-axis and off-axis tension, and under on-axis compression. The data represents a complete set of in-plane mechanical properties for the composite and can be used directly as lamina level input to numerical FEA models and design analyses with woven composite laminates. It can also serve as benchmark for the calibration and validation of these models. It can be used to calculate properties for other off-axis configurations using transformation equations. Since the data is intended to be a lamina level input, it can be used to determine the in-plane behavior of any laminate layup with this composite. The data also serves to demonstrate the marked anisotropy and tension compression asymmetry exhibited by woven composites.
Keywords	anisotropy ; asymmetry ; carbon fibers ; data collection ; epoxides ; mechanical properties ; modulus of elasticity ; stroke ; Polymer matrix composite ; Woven composite ; Elastic modulus ; Poisson's ratio ; Strength ; Failure ; Tension compression asymmetry ; Mechanical testing
Language	English
Dates of publication	2022-0927
Size	p. 108650
Publishing place	Elsevier Inc.
Document type	Article ; Online
Note	Pre-press version ; Use and reproduction
ZDB-ID	2786545-9
ISSN	2352-3409
ISSN	2352-3409
DOI	10.1016/j.dib.2022.108650
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Quantitative Assessment Parameters of Peripapillary Regions with Branch Retinal Vein Occlusion by Using Optical Coherence Tomography Angiography.

Yin, Shan / Cui, Yanyan / Jiao, Wanzhen / Zhao, Bojun

BioMed research international

2022 Volume 2022, Page(s) 9281630

Abstract: Purpose: To investigate the baseline parameters of peripapillary regions in both eyes of patients with unilateral branch retinal vein occlusion (BRVO) using optical coherence tomography angiography (OCTA) and their association with best-corrected visual ...

Abstract	Purpose: To investigate the baseline parameters of peripapillary regions in both eyes of patients with unilateral branch retinal vein occlusion (BRVO) using optical coherence tomography angiography (OCTA) and their association with best-corrected visual acuity (BCVA). Methods: Forty-eight unilateral BRVO patients were enrolled. The 4.5 × 4.5 mm disc angiogram was acquired in the BRVO eyes and fellow eyes using the OCTA. Radial peripapillary capillary (RPC), whole vessel density, and retinal nerve fiber layer (RNFL) thickness in different regions and optic nerve head (ONH) analysis were automatically calculated. The partition includes the whole image, peripapillary, superior hemifield, inferior hemifield, eight equally divided sectors, and nine evenly divided square areas. Results: All vessel density and capillary vessel density in the whole and peripapillary regions of BRVO eyes were significantly lower than those in fellow eyes. The RNFL peripapillary thickness in BRVO eyes was significantly higher than those in fellow eyes. In eyes with supertemporal vein occlusion, all vessel density both in the superior hemifield and in the G12 region was significantly reduced compared with that in the fellow eyes. The capillary vessel density was significantly lower in the superior hemifield, superior temporal (ST), superior nasal (SN), and temporal superior (TS) areas than in the fellow eyes. The RNFL thickness in the NI, IN, TI, and TS sectors was significantly higher than in fellow eyes (all Conclusions: OCTA provided quantitative information on peripapillary vascular density and RNFL thickness changes in BRVO. Branch retinal vein occlusion not only affects the blood vessel density in the macular area but also decreases the radial peripapillary capillaries. The capillary density is mainly affected in the affected hemifield but not in the unaffected hemifield.
MeSH term(s)	Humans ; Tomography, Optical Coherence/methods ; Retinal Vein Occlusion/diagnostic imaging ; Retinal Vein Occlusion/complications ; Fluorescein Angiography/methods ; Retinal Vessels/diagnostic imaging ; Optic Disk/diagnostic imaging ; Optic Disk/blood supply
Language	English
Publishing date	2022-11-03
Publishing country	United States
Document type	Journal Article
ZDB-ID	2698540-8
ISSN	2314-6141 ; 2314-6133
ISSN (online)	2314-6141
ISSN	2314-6133
DOI	10.1155/2022/9281630
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Experimental dataset on the in-plane tensile, shear, and compressive properties of a carbon-epoxy twill woven composite.

Liu, Felix / Grotz, Leana / Cui, Yanyan / Kirane, Kedar

Data in brief

2022 Volume 45, Page(s) 108650

Abstract: This data article presents experimental data on the in-plane mechanical behavior of a carbon-epoxy twill woven composite. Properties under tension, shear, and compression are measured and reported, which include force vs. stroke curves, stress vs. strain ...

Abstract	This data article presents experimental data on the in-plane mechanical behavior of a carbon-epoxy twill woven composite. Properties under tension, shear, and compression are measured and reported, which include force vs. stroke curves, stress vs. strain curves, in-plane on-axis and off-axis moduli, in-plane shear modulus, tensile and compressive strengths, post-peak residual stress under compression, and on-axis and off-axis Poisson ratios. Laminate plates of the composite were ordered from a commercial vendor and specimens of desired dimensions were cut using a waterjet cutter. Tests were conducted in accordance with ASTM standards D3039 and D6641, under on-axis and off-axis tension, and under on-axis compression. The data represents a complete set of in-plane mechanical properties for the composite and can be used directly as lamina level input to numerical FEA models and design analyses with woven composite laminates. It can also serve as benchmark for the calibration and validation of these models. It can be used to calculate properties for other off-axis configurations using transformation equations. Since the data is intended to be a lamina level input, it can be used to determine and model the in-plane behavior of any laminate layup with this composite. The data also serves to demonstrate the marked anisotropy and tension compression asymmetry exhibited by woven composites.
Language	English
Publishing date	2022-10-04
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2786545-9
ISSN	2352-3409 ; 2352-3409
ISSN (online)	2352-3409
ISSN	2352-3409
DOI	10.1016/j.dib.2022.108650
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Article ; Online: Rare earth-doped nanocrystals for bioimaging in the near-infrared region.

Meng, Jiajia / Cui, Yanyan / Wang, Yaling

Journal of materials chemistry. B

2022 Volume 10, Issue 42, Page(s) 8596–8615

Abstract: Rare earth-doped nanocrystals are widely used in medical diagnostics and bioimaging due to their narrow luminescence emission spectra (10-20 nm), long lifetime, and no photobleaching properties. Especially in the near-infrared (NIR) region, deeper tissue ...

Abstract	Rare earth-doped nanocrystals are widely used in medical diagnostics and bioimaging due to their narrow luminescence emission spectra (10-20 nm), long lifetime, and no photobleaching properties. Especially in the near-infrared (NIR) region, deeper tissue imaging can be achieved with low background luminescence and high spatial resolution. Further precise image-guided diagnosis and treatment can be achieved by using multimodal imaging such as MRI/CT/NIR/PA. Here, we focus on the construction of rare earth-doped nanocrystals, optical properties, and progress of such nanocomposites for bioimaging in the NIR region. In addition, the limitations at this stage in the field of bioimaging and the prospects for future technological development of rare earth-doped nanocrystals are present.
MeSH term(s)	Spectroscopy, Near-Infrared/methods ; Metals, Rare Earth/chemistry ; Luminescence ; Nanoparticles/chemistry ; Magnetic Resonance Imaging
Chemical Substances	Metals, Rare Earth
Language	English
Publishing date	2022-11-03
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	2702241-9
ISSN	2050-7518 ; 2050-750X
ISSN (online)	2050-7518
ISSN	2050-750X
DOI	10.1039/d2tb01731h
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Article: Potential Prognostic Indicators for Patients With Retinal Vein Occlusion.

Yin, Shan / Cui, Yanyan / Jiao, Wanzhen / Zhao, Bojun

Frontiers in medicine

2022 Volume 9, Page(s) 839082

Abstract: The second most prevalent cause of retinal vascular disease is retinal vein occlusion (RVO). RVO raises intravascular pressure in the capillary and veins, triggering vessel barrier collapse and subsequent leaking of blood or plasma components into the ... ...

Abstract	The second most prevalent cause of retinal vascular disease is retinal vein occlusion (RVO). RVO raises intravascular pressure in the capillary and veins, triggering vessel barrier collapse and subsequent leaking of blood or plasma components into the tissue (edema). Macular edema (ME) is a major complication of RVO that results in significant visual impairment. Laser therapy, intravitreal steroid injections, and vascular endothelial growth factor (VEGF) inhibitors are the major therapeutic techniques. Different therapies reduce ME of RVO and improve visual activity. However, some people have no impact on the resolution of ME, while others have a poor visual prognosis despite full ME cure. There are many investigators who studied the relationship between indicators of various instruments with visual activity. However, a summary of those findings is currently lacking. Therefore, we will focus on the predictive factors of different studies associated with positive visual activity outcomes, which would be very useful and important to help address both treatment expectations and methods for patients with RVO.
Language	English
Publishing date	2022-05-25
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2775999-4
ISSN	2296-858X
ISSN	2296-858X
DOI	10.3389/fmed.2022.839082
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Article ; Online: Retraction Note: Downregulation of nicotinamide N-methyltransferase inhibits migration and epithelial-mesenchymal transition of esophageal squamous cell carcinoma via Wnt/β-catenin pathway.

Cui, Yanyan / Zhang, Luyu / Wang, Wenjie / Ma, Shanshan / Liu, Hongtao / Zang, Xingxing / Zhang, Yanting / Guan, Fangxia

Molecular and cellular biochemistry

2024 Volume 479, Issue 2, Page(s) 451

Language	English
Publishing date	2024-02-08
Publishing country	Netherlands
Document type	Retraction of Publication
ZDB-ID	184833-1
ISSN	1573-4919 ; 0300-8177
ISSN (online)	1573-4919
ISSN	0300-8177
DOI	10.1007/s11010-024-04959-5
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Article ; Online: WO

Abbas, Muhammad / Hussain Shah, Navid / Ilyas, Mubashar / Mudasar, Murtaza / Raza, Ali / Ashfaq Ahmad, M / Cui, Yanyan / Wang, Yaling

Journal of colloid and interface science

2024 Volume 662, Page(s) 250–262

Abstract: Tetracycline (TC) antibiotics and dyes are the prevalent water contaminants, and their removal from the water through photocatalysis is a plausible approach. However, most semiconductors in their pristine form need to be improved to be exploited in ... ...

Abstract	Tetracycline (TC) antibiotics and dyes are the prevalent water contaminants, and their removal from the water through photocatalysis is a plausible approach. However, most semiconductors in their pristine form need to be improved to be exploited in photocatalysis owing to poor photoresponse, intense carrier recombination, and inertness without irradiation. Herein, we demonstrate the modification of defective WO
Language	English
Publishing date	2024-02-10
Publishing country	United States
Document type	Journal Article
ZDB-ID	241597-5
ISSN	1095-7103 ; 0021-9797
ISSN (online)	1095-7103
ISSN	0021-9797
DOI	10.1016/j.jcis.2024.02.026
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Article ; Online: Insights into the effect of guanylate-binding protein 1 on the survival of Brucella intracellularly.

Li, Zhiqiang / Wang, Shuli / Han, Jincheng / Yang, Guangli / Xi, Li / Zhang, Chunmei / Cui, Yanyan / Yin, Shuanghong / Zhang, Yu / Zhang, Hui

Veterinary microbiology

2024 Volume 293, Page(s) 110089

Abstract: Brucellosis is a zoonotic disease that affects wild and domestic animals. It is caused by members of the bacterial genus Brucella. Guanylate-binding protein 1 (GBP1) is associated with microbial infections. However, the role of GBP1 during Brucella ... ...

Abstract	Brucellosis is a zoonotic disease that affects wild and domestic animals. It is caused by members of the bacterial genus Brucella. Guanylate-binding protein 1 (GBP1) is associated with microbial infections. However, the role of GBP1 during Brucella infection remains unclear. This investigation aimed to identify the association of GBP1 with brucellosis. Results showed that Brucella infection induced GBP1 upregulation in RAW 264.7 murine macrophages. Small interfering GBP1 targeting RNAs were utilized to explore how GBP1 regulates the survival of Brucella intracellularly. Results revealed that GBP1 knockdown promoted Brucella's survival ability, activated Nod-like receptor (NLR) containing a pyrin domain 3 (NLRP3) and absent in melanoma 2 (AIM2) inflammatory corpuscles, and induced pro-inflammatory cytokines IFN-γ and IL-1β. Furthermore, Brucella stimulated the expression of GBP1 in bone marrow-derived macrophages (BMDMs) and mice. During the inhibition of GBP1 in BMDMs, the intracellular growth of Brucella increased. In comparison, GBP1 downregulation enhanced the accumulation of Brucella-induced reactive oxygen species (ROS) in macrophages. Overall, the data indicate a significant role of GBP1 in regulating brucellosis and suggest the function underlying its suppressive effect on the survival and growth of Brucella intracellularly.
MeSH term(s)	Animals ; Mice ; GTP-Binding Proteins/genetics ; GTP-Binding Proteins/metabolism ; Macrophages/microbiology ; Brucellosis/microbiology ; RAW 264.7 Cells ; Brucella/genetics ; Reactive Oxygen Species/metabolism ; Mice, Inbred C57BL
Chemical Substances	GTP-Binding Proteins (EC 3.6.1.-) ; Reactive Oxygen Species
Language	English
Publishing date	2024-04-16
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	753154-0
ISSN	1873-2542 ; 0378-1135
ISSN (online)	1873-2542
ISSN	0378-1135
DOI	10.1016/j.vetmic.2024.110089
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