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Article: Finite Element Simulation and Microstructural Evolution Investigation in Hot Stamping Process of Ti6Al4V Alloy Sheets.

Qu, Mingjia / Gu, Zhengwei / Li, Xin / Wang, Jianbo / Yu, Ge / Yi, Lingling

2024 Volume 17, Issue 6

Abstract: Titanium alloy hot stamping technology has a wide range of application prospects in the field of titanium alloy part processing due to its high production efficiency and low manufacturing cost. However, the challenges of forming titanium alloy parts with ...

Abstract	Titanium alloy hot stamping technology has a wide range of application prospects in the field of titanium alloy part processing due to its high production efficiency and low manufacturing cost. However, the challenges of forming titanium alloy parts with large depths and deformations have restricted its development. In this study, the hot stamping process of a Ti6Al4V alloy box-shaped part was investigated using ABAQUS 2020 software. The thermodynamic properties of a Ti6Al4V alloy sheet were explored at different temperatures (400 °C, 500 °C, 600 °C, 700 °C, 800 °C) and different strain rates (0.1 s
Language	English
Publishing date	2024-03-18
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma17061388
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Investigation of the Hot Stamping-in-Die Quenching Composite Forming Process of 5083 Aluminum Alloy Skin.

Yi, Lingling / Yu, Ge / Tang, Ziming / Li, Xin / Gu, Zhengwei

Materials (Basel, Switzerland)

2023 Volume 16, Issue 7

Abstract: Aluminum alloy has been used as the skin material for rail vehicles and automobiles to meet the requirements of environmental protection. The hot stamping-in-die quenching composite forming (HFQ) process is a promising technology to compensate for the ... ...

Abstract	Aluminum alloy has been used as the skin material for rail vehicles and automobiles to meet the requirements of environmental protection. The hot stamping-in-die quenching composite forming (HFQ) process is a promising technology to compensate for the poor formability of the aluminum alloy sheet at room temperature. In this paper, the high-temperature mechanical properties of 5083 aluminum alloy under various temperature (200 °C, 300 °C, 400 °C, 450 °C) and strain rate conditions (0.01 s
Language	English
Publishing date	2023-03-29
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma16072742
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Predicting the Popularity of Information on Social Platforms without Underlying Network Structure.

Wu, Leilei / Yi, Lingling / Ren, Xiao-Long / Lü, Linyuan

Entropy (Basel, Switzerland)

2023 Volume 25, Issue 6

Abstract: The ability to predict the size of information cascades in online social networks is crucial for various applications, including decision-making and viral marketing. However, traditional methods either rely on complicated time-varying features that are ... ...

Abstract	The ability to predict the size of information cascades in online social networks is crucial for various applications, including decision-making and viral marketing. However, traditional methods either rely on complicated time-varying features that are challenging to extract from multilingual and cross-platform content, or on network structures and properties that are often difficult to obtain. To address these issues, we conducted empirical research using data from two well-known social networking platforms, WeChat and Weibo. Our findings suggest that the information-cascading process is best described as an activate-decay dynamic process. Building on these insights, we developed an activate-decay (AD)-based algorithm that can accurately predict the long-term popularity of online content based solely on its early repost amount. We tested our algorithm using data from WeChat and Weibo, demonstrating that we could fit the evolution trend of content propagation and predict the longer-term dynamics of message forwarding from earlier data. We also discovered a close correlation between the peak forwarding amount of information and the total amount of dissemination. Finding the peak of the amount of information dissemination can significantly improve the prediction accuracy of our model. Our method also outperformed existing baseline methods for predicting the popularity of information.
Language	English
Publishing date	2023-06-09
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2014734-X
ISSN	1099-4300 ; 1099-4300
ISSN (online)	1099-4300
ISSN	1099-4300
DOI	10.3390/e25060916
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Article ; Online: Association between Galectin-13 Expression and Eosinophilic Airway Inflammation in Chronic Obstructive Pulmonary Disease.

Yi, Lingling / Feng, Yuchen / Chen, Dian / Jin, Yanling / Zhang, Shuchen

COPD

2023 Volume 20, Issue 1, Page(s) 101–108

Abstract: Chronic obstructive pulmonary disease (COPD) and asthma are chronic inflammatory diseases of the airways. Galectin-13 has recently been forwarded as a biomarker for airway eosinophilic inflammation in asthma. However, the association between galectin-13 ... ...

Abstract	Chronic obstructive pulmonary disease (COPD) and asthma are chronic inflammatory diseases of the airways. Galectin-13 has recently been forwarded as a biomarker for airway eosinophilic inflammation in asthma. However, the association between galectin-13 and COPD remains unknown. To examine the changes in galectin-13 expression in acute exacerbations of COPD (AECOPD) and the stable phase of COPD and unveil the association between galectin-13 expression and eosinophilic inflammation in COPD, we measured plasma galectin-13 expression in different phases of COPD patients (
MeSH term(s)	Humans ; Pulmonary Disease, Chronic Obstructive ; Asthma/complications ; Inflammation ; Galectins ; Eosinophilia
Chemical Substances	Galectins
Language	English
Publishing date	2023-01-19
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2171107-0
ISSN	1541-2563 ; 1541-2555
ISSN (online)	1541-2563
ISSN	1541-2555
DOI	10.1080/15412555.2022.2162377
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Zs.A 5990: Show issues

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bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

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Article: Study on the Effect of the Pre-Forming of 22MnB5 Steel in Indirect Hot Stamping.

Tang, Ziming / Gu, Zhengwei / Li, Yi / Li, Xin / Yu, Ge / Yi, Lingling

Materials (Basel, Switzerland)

2023 Volume 16, Issue 10

Abstract: Based on the indirect hot-stamping test system, the effect of pre-forming on the microstructure evolution (grain size, dislocation density, martensite phase transformation) and mechanical properties of the blank in indirect hot stamping is systematically ...

Abstract	Based on the indirect hot-stamping test system, the effect of pre-forming on the microstructure evolution (grain size, dislocation density, martensite phase transformation) and mechanical properties of the blank in indirect hot stamping is systematically studied using ultra-high-strength steel 22MnB5. It is found that the average austenite grain size slightly decreases with the increase in pre-forming. After quenching, the martensite also becomes finer and more uniformly distributed. Although the dislocation density after quenching slightly decreases with the increase in pre-forming, the overall mechanical properties of the quenched blank are not greatly affected by pre-forming under the combined effect of the grain size and dislocation density. Then, this paper discusses the effect of the pre-forming volume on part formability in indirect hot stamping by manufacturing a typical beam part. According to the numerical simulations and experimental results, when the pre-forming volume increases from 30% to 90%, the maximum thickness thinning rate of the beam part decreases from 30.1% to 19.1%, and the final beam part has better formability and more uniform thickness distribution results when the pre-forming volume is 90%.
Language	English
Publishing date	2023-05-15
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma16103739
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Theoretical Investigation of Forming Process of Aluminum Alloy Rail Vehicle Side Window.

Gu, Zhengwei / Chen, Hongru / Yi, Lingling / Tang, Ziming / Wang, Meng / Yu, Ge

Materials (Basel, Switzerland)

2022 Volume 15, Issue 23

Abstract: With the vigorous development of rail transit trains around the world and the emergence of global environmental pollution and energy shortages, the world has an urgent need for manufacturing technology for lightweight aluminum alloy rail transit train ... ...

Abstract	With the vigorous development of rail transit trains around the world and the emergence of global environmental pollution and energy shortages, the world has an urgent need for manufacturing technology for lightweight aluminum alloy rail transit train components. This paper mainly studied the superplastic forming law of 5083Al for rail transit. Through the high-temperature tensile test and blowing forming experiments, the superplastic properties of 5083Al were determined. Based on this, the die design, finite element simulation, and forming experiment of the rail vehicle side window were carried out. In order to study the superplastic deformation behavior of industrial 5083Al under complex stress conditions, the influence of the depth, area ratio, and friction coefficient of the pre-forming die on the part thickness distribution is simulated. The side window is made of a high-strength 5083Al sheet in the form of bending at both ends to ensure the strength of the connection between the overall side window and the side wall skeleton. The variation law of the side wall forming height of 5083Al box-shaped parts was studied. The efficient manufacture of parts that meet quality standards was made possible by the optimization of the pressure profile. The microstructure changes of the material after superplastic forming were studied by Energy Dispersive Spectrometer (EDS) and Electron Backscattered Diffraction (EBSD).
Language	English
Publishing date	2022-11-22
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma15238290
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Decreased eosinophil counts and elevated lactate dehydrogenase predict severe COVID-19 in patients with underlying chronic airway diseases.

Chen, Dian / Zhang, Shuchen / Feng, Yuchen / Wu, Wenliang / Chang, Chenli / Chen, Shengchong / Zhen, Guohua / Yi, Lingling

Postgraduate medical journal

2023 Volume 98, Issue 1166, Page(s) 906–913

Abstract: Background: Several predictors of COVID-19 severity have been reported. However, chronic airway inflammation characterised by accumulated lymphocytes or eosinophils may affect the pathogenesis of COVID-19.: Methods: In this retrospective cohort study, ...

Abstract	Background: Several predictors of COVID-19 severity have been reported. However, chronic airway inflammation characterised by accumulated lymphocytes or eosinophils may affect the pathogenesis of COVID-19. Methods: In this retrospective cohort study, we reviewed the medical records of all patients with laboratory-confirmed COVID-19 with chronic bronchitis, chronic obstructive pulmonary disease (COPD) and asthma admitted to the Sino-French New City Branch of Tongji Hospital, a large regional hospital in Wuhan, China, from 26 January to 3 April. The Tongji Hospital Ethics Committee approved this study. Results: There were 59 patients with chronic bronchitis, COPD and asthma. When compared with non-severe patients, severe patients were more likely to have decreased lymphocyte counts (0.6×10⁹/L vs 1.1×10⁹/L, p<0.001), eosinopaenia (<0.02×10⁹/L; 73% vs 24%, p<0.001), increased lactate dehydrogenase (LDH) (471.0 U/L vs 230.0 U/L, p<0.001) and elevated interleukin 6 level (47.4 pg/mL vs 5.7 pg/mL, p=0.002) on admission. Eosinopaenia and elevated LDH were significantly associated with disease severity in both univariate and multivariate regression models including the above variables. Moreover, eosinophil count and LDH level tended to return to normal range over time in both groups after treatment and severe patients recovered slower than non-severe patients, especially in eosinophil count. Conclusions: Eosinopaenia and elevated LDH are potential predictors of disease severity in patients with COVID-19 with underlying chronic airway diseases. In addition, they could indicate disease progression and treatment effectiveness.
MeSH term(s)	Humans ; Asthma/complications ; Bronchitis, Chronic/pathology ; COVID-19/complications ; Eosinophils ; Inflammation/pathology ; Lactate Dehydrogenases ; Pulmonary Disease, Chronic Obstructive ; Retrospective Studies
Chemical Substances	Lactate Dehydrogenases (EC 1.1.-)
Language	English
Publishing date	2023-03-30
Publishing country	England
Document type	Journal Article
ZDB-ID	80325-x
ISSN	1469-0756 ; 0032-5473
ISSN (online)	1469-0756
ISSN	0032-5473
DOI	10.1136/postgradmedj-2021-139704
Database	MEDical Literature Analysis and Retrieval System OnLINE

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bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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Article ; Online: MiRNA-338-3p Inhibits Neuroinflammation in the Corpus Callosum of LCV-LPS Rats Via STAT1 Signal Pathway.

Liu, Nan / Zhou, Qiuping / Wang, Huifang / Li, Qian / Chen, Zhuo / Lin, Yiyan / Yi, Lingling / Jiang, Shuqi / Chen, Chunbo / Deng, Yiyu

Cellular and molecular neurobiology

2023 Volume 43, Issue 7, Page(s) 3669–3692

Abstract: Neuroinflammation is a common characteristic of intracranial infection (ICI), which is associated with the activation of astrocytes and microglia. MiRNAs are involved in the process of neuroinflammation. This study aimed to investigate the potential ... ...

Abstract	Neuroinflammation is a common characteristic of intracranial infection (ICI), which is associated with the activation of astrocytes and microglia. MiRNAs are involved in the process of neuroinflammation. This study aimed to investigate the potential mechanism by which miR-338-3p negatively modulate the occurrence of neuroinflammation. We here reported that the decreased levels of miR-338-3p were detected using qRT-PCR and the upregulated expression of TNF-α and IL-1β was measured by ELISA in the cerebrospinal fluid (CSF) in patients with ICI. A negative association between miR-338-3p and TNF-α or IL-1β was revealed by Pearson correlation analysis. Sprague-Dawley (SD) rats were injected with LPS (50 μg) into left cerebral ventricule (LCV), following which the increased expression of TNF-α and IL-1β and the reduction of miR-338-3p expression were observed in the corpus callosum (CC). Moreover, the expression of TNF-α and IL-1β in the astrocytes and microglia in the CC of LCV-LPS rats were saliently inhibited by the overexpression of miR-338-3p. In vitro, cultured astrocytes and BV2 cells transfected with mimic-miR-338-3p produced less TNF-α and IL-1β after LPS administration. Direct interaction between miR-338-3p and STAT1 mRNA was validated by biological information analysis and dual luciferase assay. Furthermore, STAT1 pathway was found to be implicated in inhibition of neuroinflammation induced by mimic miR-338-3p in the astrocytes and BV2 cells. Taken together, our results suggest that miR-338-3p suppress the generation of proinflammatory mediators in astrocyte and BV2 cells induced by LPS exposure through the STAT1 signal pathway. MiR-338-3p could act as a potential therapeutic strategy to reduce the neuroinflammatory response. Diagram describing the cellular and molecular mechanisms associated with LPS-induced neuroinflammation via the miR-338-3p/STAT1 pathway. LPS binds to TLRs on astrocytes or microglia to activate the STAT1 pathway and upregulate the production of pro-inflammatory cytokines. However, miR-338-3p inhibits the expression of STAT1 and reduces the production of inflammatory mediators.
MeSH term(s)	Rats ; Animals ; Neuroinflammatory Diseases ; Rats, Sprague-Dawley ; Corpus Callosum ; Lipopolysaccharides/pharmacology ; Tumor Necrosis Factor-alpha ; MicroRNAs/genetics ; Signal Transduction
Chemical Substances	Lipopolysaccharides ; Tumor Necrosis Factor-alpha ; MicroRNAs ; MIRN338 microRNA, rat
Language	English
Publishing date	2023-07-21
Publishing country	United States
Document type	Journal Article
ZDB-ID	283404-2
ISSN	1573-6830 ; 0272-4340
ISSN (online)	1573-6830
ISSN	0272-4340
DOI	10.1007/s10571-023-01378-w
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 1727: Show issues

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Jg. 1995 - 2021: Lesesall (1.OG)
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Book ; Online: Robust Preference-Guided Denoising for Graph based Social Recommendation

Quan, Yuhan / Ding, Jingtao / Gao, Chen / Yi, Lingling / Jin, Depeng / Li, Yong

2023

Abstract: Graph Neural Network(GNN) based social recommendation models improve the prediction accuracy of user preference by leveraging GNN in exploiting preference similarity contained in social relations. However, in terms of both effectiveness and efficiency of ...

Abstract	Graph Neural Network(GNN) based social recommendation models improve the prediction accuracy of user preference by leveraging GNN in exploiting preference similarity contained in social relations. However, in terms of both effectiveness and efficiency of recommendation, a large portion of social relations can be redundant or even noisy, e.g., it is quite normal that friends share no preference in a certain domain. Existing models do not fully solve this problem of relation redundancy and noise, as they directly characterize social influence over the full social network. In this paper, we instead propose to improve graph based social recommendation by only retaining the informative social relations to ensure an efficient and effective influence diffusion, i.e., graph denoising. Our designed denoising method is preference-guided to model social relation confidence and benefits user preference learning in return by providing a denoised but more informative social graph for recommendation models. Moreover, to avoid interference of noisy social relations, it designs a self-correcting curriculum learning module and an adaptive denoising strategy, both favoring highly-confident samples. Experimental results on three public datasets demonstrate its consistent capability of improving two state-of-the-art social recommendation models by robustly removing 10-40% of original relations. We release the source code at https://github.com/tsinghua-fib-lab/Graph-Denoising-SocialRec.
Keywords	Computer Science - Information Retrieval
Subject code	300
Publishing date	2023-03-14
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering

Wen, Yan / Gao, Chen / Yi, Lingling / Qiu, Liwei / Wang, Yaqing / Li, Yong

2023

Abstract: Automated Machine Learning (AutoML) techniques have recently been introduced to design Collaborative Filtering (CF) models in a data-specific manner. However, existing works either search architectures or hyperparameters while ignoring the fact they are ... ...

Abstract	Automated Machine Learning (AutoML) techniques have recently been introduced to design Collaborative Filtering (CF) models in a data-specific manner. However, existing works either search architectures or hyperparameters while ignoring the fact they are intrinsically related and should be considered together. This motivates us to consider a joint hyperparameter and architecture search method to design CF models. However, this is not easy because of the large search space and high evaluation cost. To solve these challenges, we reduce the space by screening out usefulness yperparameter choices through a comprehensive understanding of individual hyperparameters. Next, we propose a two-stage search algorithm to find proper configurations from the reduced space. In the first stage, we leverage knowledge from subsampled datasets to reduce evaluation costs; in the second stage, we efficiently fine-tune top candidate models on the whole dataset. Extensive experiments on real-world datasets show better performance can be achieved compared with both hand-designed and previous searched models. Besides, ablation and case studies demonstrate the effectiveness of our search framework. Comment: Accepted by KDD 2023
Keywords	Computer Science - Information Retrieval ; Computer Science - Machine Learning
Subject code	006
Publishing date	2023-07-12
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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