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Qiong Chen,Weiwei Wu,Hailan Yang,Ping Zhang,Yongliang Feng,Keke Wang,Ying Wang,Suping Wang,Yawei Zhang 대한당뇨병학회 2020 Diabetes and Metabolism Journal Vol.44 No.6
Background Identification of modifiable dietary factors, which are involved in the development of gestational diabetes mellitus (GDM), could inform strategies to prevent GDM. Methods We examined the dietary patterns in a Chinese population and evaluated their relationship with GDM risk using a case-control study including 1,464 cases and 8,092 control subjects. Propensity score matching was used to reduce the imbalance of covariates between cases and controls. Dietary patterns were identified using factor analysis while their associations with GDM risk were evaluated using logistic regression models. Results A “vegetable” dietary pattern was characterized as the consumption of green leafy vegetables (Chinese little greens and bean seedling), other vegetables (cabbages, carrots, tomatoes, eggplants, potatoes, mushrooms, peppers, bamboo shoots, agarics, and garlic), and bean products (soybean milk, tofu, kidney beans, and cowpea). For every quartile increase in the vegetables factor score during 1 year prior to conception, the first trimester, and the second trimester of pregnancy, the GDM risk lowered by 6% (odds ratio [OR], 0.94; 95% confidence interval [CI], 0.89 to 0.99), 7% (OR, 0.94; 95% CI, 0.88 to 0.99), and 9% (OR, 0.91; 95% CI, 0.86 to 0.96). Conclusion In conclusion, our study suggests that the vegetable dietary pattern is associated with lower GDM risk; however, the interpretation of the result should with caution due to the limitations in our study, and additional studies are necessary to explore the underlying mechanism of this relationship.
Zhengyi Xu,Pengyuan Zhang,Bo Zhang,Bing Lei,Zhiyuan Feng,Junyi Wang,Yawei Shao,Guozhe Meng,Yanqiu Wang,Fuhui Wang 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.122 No.-
In this work, electrochemical hydrogen permeation tests were carried out to obtain the steady-statehydrogen permeation current of X70 pipeline steel in acid environment and alkaline electrolyte withapplied cathodic overpotentials simulating the service conditions of pipelines. It is shown that Lamicroalloyingcan efficiently reduce the steady-state hydrogen permeation current density while maintainingthe same mechanical performance. The experimental permeation data were fitted with Iyer-Pickering-Zamanzadeh (IPZ) and surface effect model to analyze the inhibitive mechanism on hydrogenpermeation, and the results depicted that La element on the material surface greatly facilitates the desorptionprocess of hydrogen atoms. In addition, the calculated hydrogen diffusion coefficient was foundsmaller after La microalloyed, which can be ascribed to the larger hydrogen trap density. It is suggestedthat La-microalloying can mitigate hydrogen damage of X70 pipeline steel in both acidic environment orunder cathodic protection.
Exciton dynamics in cation-exchanged CdSe/PbSe nanorods: The role of defects
Lee, Sooho,Wang, Yimeng,Liu, Yawei,Lee, Dongkyu,Lee, Kangha,Lee, Doh C.,Lian, Tianquan Elsevier 2017 Chemical physics letters Vol.683 No.-
<P>Cation exchange occurs via defect initiated solid-state diffusion, a process that can lead to defect formations. The effect of such inherent defect formation on carrier dynamics of cation-exchanged heterostructures remains poorly understood. Herein, we report exciton dynamics in type II CdSe/PbSe heterostructure nanorods formed via cation exchange. The majority of electrons in CdSe domains decays in 5 ps due to ultrafast carrier trapping. The defect generated by cation exchange can be healed by annealing the as-synthesized CdSe/PbSe heterostructure nanorods. This study suggests a strategy for improving properties of heteronanostructures prepared by cation exchange for applications in photovoltaics and photocatalysis. (C) 2017 Elsevier B.V. All rights reserved.</P>
EpiLoc: Deep Camera Localization Under Epipolar Constraint
Luoyuan Xu,Tao Guan,Yawei Luo,Yuesong Wang,Zhuo Chen,WenKai Liu 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.6
Recent works have shown that the geometric constraint can be harnessed to boost the performance of CNN-based camera localization. However, the existing strategies are limited to imposing image-level constraint between pose pairs, which is weak and coarse-gained. In this paper, we introduce a pixel-level epipolar geometry constraint to vanilla localization framework without the ground-truth 3D information. Dubbed EpiLoc, our method establishes the geometric relationship between pixels in different images by utilizing the epipolar geometry thus forcing the network to regress more accurate poses. We also propose a variant called EpiSingle to cope with non-sequential training images, which can construct the epipolar geometry constraint based on a single image in a self-supervised manner. Extensive experiments on the public indoor 7Scenes and outdoor RobotCar datasets show that the proposed pixel-level constraint is valuable, and helps our EpiLoc achieve state-of-the-art results in the end-to-end camera localization task.
Xingfang Xiao,Lipei Ren,Shujun Wang,Qian Zhang,Yawei Zhang,Ruina Liu,Weilin Xu 한국섬유공학회 2020 Fibers and polymers Vol.21 No.9
Luminescent lanthanide metal-organic frameworks (ln-MOFs) is a promising materials for sensing. However,seeking ideal method to scale up in mass production and can be uniform on flexible substrate is still a great challenge. In thisstudy, a novel and efficient process was employed for the fabrication of flexible and environmental copper ion-sensingmaterials using cotton fabric as a substrate. The micro-nanoscale Europium metal-organic frameworks (Eu-MOFs) wasprepared through adding blocking reagent, and then cotton fabric was coated with the Eu-MOFs by hot pressing. The resultsshow that controllable dense micro-nanoscale Eu-MOFs film was coated on the cotton fabric with different dipping and hotpressing times. The method is fast, simple, low-cost and suitable for production. The Eu-MOFs coated cotton fabric exhibitsgood photoluminescent properties. The selective sensing ability of Eu-MOFs coated fabric for Cu2+ over many other metalions (K+, Cd2+, Ca2+, Pb2+, Na+, Zn2+, Ni2+, Mg2+, Al3+ and Co2+) is verified by emission spectra, and by the fact that thefluorescence intensity of the fabric significantly decreased with an increase in the concentration of Cu2+ (10-6-10-1 mol/L). This method provides a new path for the controllable production of MOFs-coated functional textiles for differentapplications, such as anti-counterfeiting, UV-protection, superhydrophobic, and sensing materials in the textile industry.