Facile and controllable synthesis of nitrogen self-doped chitosan-derived carbon for high-performance Li-ion batteries

Xia Wentao,Cheng Miao,Hu Jing,Liu Qianqian,Wei Tao,Wang Ruirui,Li Wanfei,Liu Bo 한국탄소학회 2024 Carbon Letters Vol.34 No.1

N-doping content and configurations have a significant effect on the electrochemical performance of carbon anodes. Herein, we proposed a simple method to synthesize highly N self-doped chitosan-derived carbon with controllable N-doping types by introducing 2ZnCO3·3Zn(OH)2 into the precursor. The as-synthesized NC-CS/2ZnCO3·3Zn(OH)2 electrode exhibited more than twice the reversible capacity (518 mAh g−1 after 100 cycles at 200 mA g−1) compared to the NC-CS electrode, superior rate performance and outstanding cycling stability. The remarkable improvement should be mainly attributed to the increase of N-doping content (particularly the pyrrolic-N content), which provided more active sites and favored Li+ diffusion kinetics. This study develops a cost-effective and facile synthesis route to fabricate high-performance N self-doped carbon with tunable doping sites for rechargeable battery applications.

Study on the role of gga-miRNA-200a in regulating cell differentiation and proliferation of chicken breast muscle by targeting Grb2

Keren Jiang,Fengbin Yan,Meng Zhang,Fang Li,Donghua Li,Guirong Sun,Xiaojun Liu,Hong Li,Ruili Han,Ruirui Jiang,Zhuanjian Li,Xiangtao Kang 한국통합생물학회 2017 Animal cells and systems Vol.21 No.6

Growth factor receptor-bound protein 2 (Grb2) have been proved by a lot of studies playing a major role in cell proliferation and cell differentiation. However, the regulation of Grb2 expression by microRNAs (miRNAs) in chicken breast muscle still remains unknown. The expression profile of Grb2 was checked based on our previous RNA sequencing data and the Grb2 relative expression level in breast muscle of aged hens (55-week-old) was validated significantly higher than juvenile hens (20-week-old) using qRT-PCR. miRNAs that interact with Grb2 have been predicted in chicken and the relationship between the potential miRNA and Grb2 was verified using dual luciferase reporter assay in chicken DF1 cells. Dual-luciferase reporter assays results demonstrated that the expression of luciferase reporter gene linked with part sequence of the 3′UTR of chicken Grb2 gene was down-regulated by the overexpression of gga (Gallus Gallus)- miR-200a-3p in the DF1 cells, and the down-regulation behavior was abolished when the ggamiR- 200a-3p binding site in 3′UTR of Grb2 was mutated, indicating that gga-miR-200a can suppress the expression level of its target gene Grb2. Therefore, we concluded that the significantly increased expression level of Grb2 in the breast muscle of aged chicken can (at least partly can) be explained by the decreased expression of miR-200a, which reduced the inhibitory effect on Grb2. Taken together, these findings suggest that gga-miR-200a can suppress the expression level of its target gene Grb2 and might be involved in the cell differentiation and proliferation of chicken breast muscle through binding with the 3’UTR of Grb2.

Nucleomodulin BspJ as an effector promotes the colonization of Brucella abortus in the host

Zhongchen Ma,Shuifa Yu,Kejian Cheng,Yuhe Miao,Yimei Xu,Ruirui Hu,Wei Zheng,Jihai Yi,Huan Zhang,Ruirui Li,Zhiqiang Li,Yong Wang,Chuangfu Chen 대한수의학회 2022 Journal of Veterinary Science Vol.23 No.1

Background: Brucella infection induces brucellosis, a zoonotic disease. The intracellular circulation process and virulence of Brucella mainly depend on its type IV secretion system (T4SS) expressing secretory effectors. Secreted protein BspJ is a nucleomodulin of Brucella that invades the host cell nucleus. BspJ mediates host energy synthesis and apoptosis through interaction with proteins. However, the mechanism of BspJ as it affects the intracellular survival of Brucella remains to be clarified. Objectives: To verify the functions of nucleomodulin BspJ in Brucella's intracellular infection cycles. Methods: Constructed Brucella abortus BspJ gene deletion strain (B. abortus ΔBspJ) and complement strain (B. abortus pBspJ) and studied their roles in the proliferation of Brucella both in vivo and in vitro. Results: BspJ gene deletion reduced the survival and intracellular proliferation of Brucella at the replicating Brucella-containing vacuoles (rBCV) stage. Compared with the parent strain, the colonization ability of the bacteria in mice was significantly reduced, causing less inflammatory infiltration and pathological damage. We also found that the knockout of BspJ altered the secretion of cytokines (interleukin [IL]-6, IL-1β, IL-10, tumor necrosis factor-α, interferon-γ) in host cells and in mice to affect the intracellular survival of Brucella. Conclusions: BspJ is extremely important for the circulatory proliferation of Brucella in the host, and it may be involved in a previously unknown mechanism of Brucella's intracellular survival.

A TBM Cutter Life Prediction Method Based on Rock Mass Classification

Ruirui Wang,Yaxu Wang,Jianbin Li,Liujie Jing,Guangzu Zhao,Lichao Nie 대한토목학회 2020 KSCE Journal of Civil Engineering Vol.24 No.9

Cutter life is an important economical index for tunnel boring machines (TBM) excavation, and its prediction is widely concerned. This paper introduces a method for predicting cutter life on the basis of statistics and regression. Traditional researches only evaluate the average mileage or time interval of each cutter change. Differently, the proposed method can accurately predict the mileage position of each cutter relatively, on the premise of knowing the installment radius of each cutter and the rock properties along the tunnel. In this procedure, the influence of the rock classification and rock properties of each cutter passing area on their passing distance is obtained by linear regression. For proposing and verifying the prediction method, totally 1,200 records of cutter changing caused by normal cutter wear are collected from the 4th Section of Water Supply Project from Songhua River. Among them, randomly selected 920 samples are used to determine the regression coefficients involved in the method. The method is verified by the rest 280 samples, and a reliable predicted result is obtained (MAPE = 27%, and R2 = 0.69).

《幽明錄》單音節名詞同義詞群考察

李占平(Li Zhanping),劉??(Liu Ruirui) 동아인문학회 2013 동아인문학 Vol.26 No.-

YouMlingLu is an important works of mid-ancient Chinese language.On the basis of the same sememe,different pronunciation and same the characteristic,we concluded 55 groups monosyllabic noun synonyms. After observation and study, we found that 51 groups succeeded to ancient times, 3 groups appeared in mid-ancient and 1 group came from ancient times with subtle changes.Study on words of classic books is important and practical .By means of this kind of study,we can know Vocabulary features and the changes of a specific period of time.

Black box-assisted fine-grained hierarchical access control scheme for epidemiological survey data

Xueyan Liu,Ruirui Sun,Linpeng Li,Wenjing Li,Tao Liu 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.9

Epidemiological survey is an important means for the prevention and control of infectious diseases. Due to the particularity of the epidemic survey, 1) epidemiological survey in epidemic prevention and control has a wide range of people involved, a large number of data collected, strong requirements for information disclosure and high timeliness of data processing; 2) the epidemiological survey data need to be disclosed at different institutions and the use of data has different permission requirements. As a result, it easily causes personal privacy disclosure. Therefore, traditional access control technologies are unsuitable for the privacy protection of epidemiological survey data. In view of these situations, we propose a black box-assisted fine-grained hierarchical access control scheme for epidemiological survey data. Firstly, a black box-assisted multi-attribute authority management mechanism without a trusted center is established to avoid authority deception. Meanwhile, the establishment of a master key-free system not only reduces the storage load but also prevents the risk of master key disclosure. Secondly, a sensitivity classification method is proposed according to the confidentiality degree of the institution to which the data belong and the importance of the data properties to set fine-grained access permission. Thirdly, a hierarchical authorization algorithm combined with data sensitivity and hierarchical attribute-based encryption (ABE) technology is proposed to achieve hierarchical access control of epidemiological survey data. Efficiency analysis and experiments show that the scheme meets the security requirements of privacy protection and key management in epidemiological survey.

Arginine-Rich Manganese Silicate Nanobubbles as a Ferroptosis-Inducing Agent for Tumor-Targeted Theranostics

Wang, Shuaifei,Li, Fangyuan,Qiao, Ruirui,Hu, Xi,Liao, Hongwei,Chen, Lumin,Wu, Jiahe,Wu, Haibin,Zhao, Meng,Liu, Jianan,Chen, Rui,Ma, Xibo,Kim, Dokyoon,Sun, Jihong,Davis, Thomas P.,Chen, Chunying,Tian, American Chemical Society 2018 ACS NANO Vol.12 No.12

<P>Ferroptosis, an iron-based cell-death pathway, has recently attracted great attention owing to its effectiveness in killing cancer cells. Previous investigations focused on the development of iron-based nanomaterials to induce ferroptosis in cancer cells by the up-regulation of reactive oxygen species (ROS) generated by the well-known Fenton reaction. Herein, we report a ferroptosis-inducing agent based on arginine-rich manganese silicate nanobubbles (AMSNs) that possess highly efficient glutathione (GSH) depletion ability and thereby induce ferroptosis by the inactivation of glutathione-dependent peroxidases 4 (GPX4). The AMSNs were synthesized <I>via</I> a one-pot reaction with arginine (Arg) as the surface ligand for tumor homing. Subsequently, a significant tumor suppression effect can be achieved by GSH depletion-induced ferroptosis. Moreover, the degradation of AMSNs during the GSH depletion contributed to <I>T</I><SUB>1</SUB>-weighted magnetic resonance imaging (MRI) enhancement as well as on-demand chemotherapeutic drug release for synergistic cancer therapy. We anticipate that the GSH-depletion-induced ferroptosis strategy by using manganese-based nanomaterials would provide insights in designing nanomedicines for tumor-targeted theranostics.</P> [FIG OMISSION]</BR>

A Rock Mass Strength Prediction Method Integrating Wave Velocity and Operational Parameters based on the Bayesian Optimization Catboost Algorithm

Yaxu Wang,Ruirui Wang,Jiwen Wang,Ningbo Li,Hongyi Cao 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.7

Tunnel Boring Machines (TBMs) have been the main equipment for tunneling and underground construction due to their high safety performance and tunneling efficiency. However, the unknown and changing geological conditions during construction pose a challenge to TBM construction. As one of the essential parameters of rock properties, accurate acquisition of uniaxial compressive strength (UCS) is crucial for TBMs to adapt to changing ground conditionsin a timely manner. Therefore, this study proposes a Catboost intelligent model based on Bayesian Optimization to predict UCS. Rock mass are velocity information and key TBM operational parameters are used as model input variables. The Gaussian data augmentation method is used to compensate for the difficulty of obtaining field data in large quantities. The Zhujiang Delta Water Resources Allocation Engineering field data are used in the model, and the obtained evaluation indicators MAPE, RMSE, VAF and a20-index are obtained as 9.91%, 499.38 MPa, 90.7% and 0.95, respectively. In addition, another project is selected to verify the applicability of the model. The validation results also confirm that the model is valid and reliable when applied to practical engineering.

Copper-based deep eutectic solvents (Cu-DES) assisted the VPO catalyst as a structural and electronic promoter for n-butane selective oxidation

Muhammad Faizan,Hao Li,Yumei Liu,Kexin Li,Shuang Wei,Ruirui Zhang,Ruixia Liu 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.114 No.-

Currently, deep eutectic solvents (DESs), as an exclusive class of ionic liquid analogs, are extensivelyemployed in various fields. Herein, vanadium phosphorus oxide (VPO) catalysts assisted by copperbaseddeep eutectic solvent (Cu-DES) as an electronic promoter and structure directing agent were ingeniouslysynthesized and exploited in the selective oxidation of n-butane to maleic anhydride (MA). TheDES is efficient, cost effective and highly green compared to conventionally use metal inorganic modifiers. Cu-DES was prepared from a eutectic mixture of an organic salt (ChCl) and a metal salt hydrate/metal salt of cupric (Cu(NO3)2.3H2O, CuCl2) and cuprous (CuCl) salt with a molar ratio of 1:1–1:3, whichnotably improved the catalytic performance compared to that of an unpromoted VPO catalyst. The MAselectivity and n-butane conversion of Cu–DES–VPO increased significantly, while the COx (CO andCO2) selectivity decreased. FTIR, DSC, XRD, SEM, EDS, TEM, Raman, TGA, XPS, and NH3-TPD characterizationtechniques were utilized to fully analyze the DES, precursor and catalyst to explore MA selectivity. This work shifts the significant increase of 13% n-butane conversion, 11% MA selectivity and 16% MAmass yield, which greatly influences low carbon alkane utilization. Importantly, the CO: CO2 ratio isreduced from 2.02 to 1.62, which is more beneficial for chemical plants as well as green environments.

Improved SVR Method for Predicting the Cutting Force of a TBM Cutter Using Linear Cutting Machine Test Data

Mengmeng Hu,Biao Li,Bo Zhang,Ruirui Wang,Lei Chen 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.11

This research introduces a support vector regression (SVR) method to predict the cutting forces acting on the constant cross section (CCS) disc cutter, including the normal force (FN) and rolling force (FR), based on linear cutting machine (LCM) test data. To improve the prediction effect, an improved SVR-Outlier Detection (SVR-OD) method and an Additional Input Variable (AIV) method are proposed. After removing the outliers, 148 typical LCM test samples form the training set. Here, 70 samples from the Hangzhou No.2 Water Supply Channel constitute the test set. The prediction results show that the Root-mean-squared Relative Error (RMRE) values of the normal force and rolling force are 19.5% and 24.8%, respectively, and the corresponding determination coefficients are 0.845 and 0.807, respectively. For the prediction of the peak cutting force with an important reference to tunnel boring machine (TBM) design, the proportions of samples with an Absolute Relative Error (ARE) value of less than 20% for FN and FR are 9/10 and 7/7, respectively. The above prediction results are better than those of the common SVR method; thus, the developed method can effectively simulate the cutting force required by a rock mass with good integrity. The cutting force prediction using LCM test data is feasible and practical. In addition, the comparison of the prediction results between the improved SVR and common SVR methods shows that the improved SVR-OD and AIV methods play an active role in improving the prediction accuracy of the SVR method.