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| 1 | Effect of Aluminum Tri-polyphosphate on Corrosion Behavior of Reinforcing Steel in Seawater Prepared Coral Concrete显示文摘Atri-polyphosphate was used as a corrosion inhibitor in the seawater prepared coral concrete, and its influence on the corrosion behavior of carbon steel, 304 austenitic stainless steel, and 2205 duplex stainless steel was studied by the open-circuit potential, electrochemical impedance spectroscopy, and potentiodynamic polarization, respectively. The results reveal that the corrosion potential and impedance of the reinforcing steel increase, while the corrosion current density decreases with the content of aluminum tripolyphosphate in the coral concrete. A low content of the corrosion inhibitor significantly retards the corrosion of the two stainless steels, but it cannot effectively inhibit the corrosion of the carbon steel in the coral concrete.In general, the carbon steel is unsuitable for the coral concrete for its poor corrosion resistance. In contrast,the stainless steels, especially the 2205 duplex stainless steel, shows an excellent anti-corrosion property in the seawater prepared coral concrete containing a certain amount of inhibitor, which is one of the satisfactory candidate methods to build the long-life coral concrete constructions. | 冯兴国 ZHANG Leyuan ZHANG Jing 卢向雨 XU Yiwen ZHANG Xiangying SHI Ruilong CHEN Da | 2019 | Journal of Wuhan University of Technology(Materials Science)2019，34，4： | 4 |
| 2 | Colorimetric and Highly Selective Fluorescence "Turn-on" De-tection of Cr^3+ by Using a Simple Schiff Base Sensor显示文摘简单 8-quinolinecarboxaldehyde 导出 antipyrine Schiff 底(质量保证) 被综合并且描绘,它在另外的金属阳离子上展出了高选择到 Cr3+ 。质量保证的 Cr3+ 识别能借助于 fluorescense 和吸收系列被完成,而且,明显的颜色变化从对无色微黄色容易被观察由裸体眼睛。到 Cr3+ 的质量保证的有约束力的常数被评估由光谱滴定和有约束力的模型在工作的阴谋测量的 1:1 stoichiometry。 | Yunxu Yang Huimin Xue Laicheng Chen Ruilong Sheng Xuqin Li Kun Li | 2013 | Chinese Journal of Chemistry2013，31，3： | 4 |
| 3 | One-step Condensation/copolymerization of VTES and DVB for Self-assembly Bionic Superhydrophobic Surface Coating and Study on Oil-water Separation显示文摘Mimicry of nature drives the development of bionic materials.Bionic superhydrophobic materials are a kind of high-efficiency materials to handle oil spills and water pollution.However,the stability of surface coatings of the superhydrophobic materials remains a challenge.Herein,a new category of self-assembly bionic superhydrophobic surface coating was prepared via one-step condensation/copolymerization of vinyltriethoxysilane(VTES)and divinylbenzene(DVB),which realized the close combination of covalent bonds between organic(e.g.DVB)and inorganic matter(e.g.VTES),and avoided the swelling of polydivinylbenzene(PDVB)in the process of collection of oil from water.This organic-inorganic hybrid polymer could self-assembly deposit on the surface of sponge even other substrates.For example,P(VTES-DVB)-Si0_(2)/MS obtained by assembling P(VTES-DVB)-Si0_(2)on the surface of Melamine Sponge(MS)exhibited superhydrophobicity with a Water Contact Angle(WCA)of 157.3,the optimal adsorption capacity of 77 g g 136 g g-1 for diverse oils,and an excellent separation efficiency of 99.3%.Besides,the excellent acid and alkali resistance of P(VTES-DVB)-Si0_(2)/MS suggested the potential value in practical oil-water separation.P(VTES-DVB)-Si0_(2)showed the outstanding hydrophobic performance by using as coating on different substrates.This work provided a new idea about the stable combination of organic and inorganic matter in the surface modification. | Ruilong Zhang Zhiping Zhou Yi Wang Xiaohui Dai Li Chen Jiangdong Dai | 2021 | Journal of Bionic Engineering2021，18，3： | 3 |
| 4 | Single-wavelength-excited fluorogenic nanoprobe for accurate realtime ratiometric analysis of broad pH fluctuations in mitophagy显示文摘Mitophagy has a critical role in maintaining cellular homeostasis through acidic lysosomes engulfing excess or impaired mitochondria,thereby pH fluctuation is one of the most significant indicators for tracking mitophagy.Then such precise pH tracking demands the fluorogenic probe that has tailored contemporaneous features,including mitochondrial-specificity,excellent biocompatibility,wide pH-sensitive range of 8.0–4.0,and especially quantitative ability.However,available molecular probes cannot simultaneously meet all the requirements since it is extremely difficult to integrate multiple functionalities into a single molecule.To fully address this issue,we herein integrate two fluorogenic pH sensitive units,a mitochondria-specific block,cellpenetrating facilitator,and biocompatible segments into an elegant silica nano scaffold,which greatly ensures the applicability for real-time tracking of pH fluctuations in mitophagy.Most significantly,at a single wavelength excitation,the integrated pHsensitive units have spectra-distinguishable fluorescence towards alkaline and acidic pH in a broad range that covers mitochondrial and lysosomal pH,thus enabling a ratiometric analysis of pH variations during the whole mitophagy.This work also provides constructive insights into the fabrication of advanced fluorescent nanoprobes for diverse biomedical applications. | Xin Zhang Juan Chen Jiwen Hu Anna du Rietz Xiongyu Wu Ruilong Zhang Zhongping Zhang Kajsa Uvdal Zhangjun Hu | 2022 | Nano Research2022，15，7： | 1 |
| 5 | A Linear-Time Solution for All-SAT Problem Based on P System显示文摘P system is a new kind of distributed parallel computing model, and its many variants are used to solve NP problems. All-SAT problem is a well-known NPhard problem and it has been widely applied in the fields of pro ject selection problem, capital budgeting problem and so on. In this paper, we present a family of P systems to solve All-SAT problem in a linear time based on membrane division and give an instance to illustrate the feasibility and effectiveness of our designed P systems. | GUO Ping ZHU Jian CHEN Haizhu YANG Ruilong | 2018 | Chinese Journal of Electronics2018，27，2： | 1 |
| 6 | The Weak Fault Diagnosis and Condition Monitoring of Rolling Element Bearing Using Minimum Entropy Deeonvolution and Envelop Speetrum显示文摘 | Jiang Ruilong Chen Jin Dong Guangming | 2013 | Engineer- ing Science Engineers Part C:Journal of Mechanical Engineering Science2013，227，5： | 1 |
| 7 | The weak fault diagnosis and condition monitoring of rolling element bearing using minimum entropy deconvolution and envelop spectrmn 显示文摘 | Jiang Ruilong Chen Jin Dong Guangming | 2013 | Journal of Mechanical Engineering Science2013，227，： | 1 |
| 8 | The weak fault diagnosis and condition monitoring of rolling element bearing using minimum entropy deconvotution and envelop spectrum显示文摘 | Jiang Ruilong Chen Jin Dong Guangming | 2013 | Journal of Mechanical Engineering Science2013，227，5： | 1 |
| 9 | miR-125b reverses cisplatin resistance by regulating autophagy via targeting RORA/BNIP3L axis in lung adenocarcinoma显示文摘The platinum-based chemotherapy is one of the most frequently used treatment protocols for lung adenocarcinoma(LUAD),and chemoresistance,however,usually results in treatment failure and limits its application in the clinic.It has been shown that microRNAs(miRNAs)play a significant role in tumor chemoresistance.In this study,miR-125b was identified as a specific cisplatin(DDP)-resistant gene in LUAD,as indicated by the bioinformatics analysis and the real-time quantitative PCR assay.The decreased serum level of miR-125b in LUAD patients was correlated with the poor treatment response rate and short survival time.MiR-125b decreased the A549/DDP proliferation,and the multiple drug resistance-and autophagy-related protein expression levels,which were all reversed by the inhibition of miR-125b.In addition,xenografts of human tumors in nude mice were suppressed by miR-125b,demonstrating that through autophagy regulation,miR-125b could reverse the DDP resistance in LUAD cells,both in vitro and in vivo.Further mechanistic studies indicated that miR-125b directly repressed the expression levels of RORA and its downstream BNIP3L,which in turn inhibited autophagy and reversed chemoresistance.Based on these findings,miR-125b in combination with DDP might be an effective treatment option to overcome DDP resistance in LUAD. | LEI LIU NA GUO XIANGLING LI QIAN XU RUILONG HE LIMIN CHENG CHUNYAN DANG XINYU BAI YIYING BAI XIN WANG QIANHUI CHEN LI ZHANG | 2024 | Oncology Research2024，32，4： | 0 |
| 10 | Real-time quantification of nuclear RNA export using an intracellular relocation probe显示文摘Nuclear RNA export into the cytoplasm is one of the key steps in protein expression to realize biological functions.Despite the broad availability of nucleic acid dyes,tracking and quantifying the highly dynamic process of RNA export in live cells is challenging.When dye-labeled RNA enters the cytoplasm,the dye molecules are released upon degradation of the RNA,allowing them to re-enter the cell nucleus.As a result,the ratio between the dye exported with RNA into the cytoplasm and the portion staying inside the nucleus cannot be determined.To address this common limitation,we report the design of a smart probe that can only check into the nucleus once.When adding to cells,this probe rapidly binds with nuclear RNAs in live cells and reacts with intrinsic H_(2)S.This reaction not only activates the fluorescence for RNA tracking but also changes the structure of probe and consequently its intracellular localization.After disassociating from exported RNAs in cytoplasm,the probe preferentially enters lysosomes rather than cell nucleus,enabling real-time quantitative measurement of nuclear RNA exports.Using this probe,we successfully evaluated the effects of hormones and cancer drugs on nuclear RNA export in live cells.Interestingly,we found that hormones inhibiting RNA exports can partially offset the effect of chemotherapy. | Jie Shen Juan Chen Dong Wang Zhengjie Liu Guangmei Han Bianhua Liu Mingyong Han Ruilong Zhang Guodong Liu Zhongping Zhang | 2022 | Chinese Chemical Letters2022，33，8： | 0 |
| 11 | Minimax entropy-based co-training for fault diagnosis of blast furnace显示文摘Due to the problems of few fault samples and large data fluctuations in the blast furnace(BF)ironmaking process,some transfer learning-based fault diagnosis methods are proposed.The vast majority of such methods perform distribution adaptation by reducing the distance between data distributions and applying a classifier to generate pseudo-labels for self-training.However,since the training data is dominated by labeled source domain data,such classifiers tend to be weak classifiers in the target domain.In addition,the features generated after domain adaptation are likely to be at the decision boundary,resulting in a loss of classification performance.Hence,we propose a novel method called minimax entropy-based co-training(MMEC)that adversarially optimizes a transferable fault diagnosis model for the BF.The structure of MMEC includes a dual-view feature extractor,followed by two classifiers that compute the feature's cosine similarity to representative vector of each class.Knowledge transfer is achieved by alternately increasing and decreasing the entropy of unlabeled target samples with the classifier and the feature extractor,respectively.Transfer BF fault diagnosis experiments show that our method improves accuracy by about 5%over state-of-the-art methods. | Dali Gao Chunjie Yang Bo Yang Yu Chen Ruilong Deng | 2023 | Chinese Journal of Chemical Engineering2023，59，7： | 0 |
| 12 | This work is licensed under a Creative Commons Attribution 4.0 International License,which permits unrestricted use,distribution,and reproduction in any medium,provided the original work is properly cited.A Real Time Vision-Based Smoking Detection Framework on Edge显示文摘Smoking is the main reason for fire disaster and pollution in petrol station,construction site and warehouse.Existing solutions based on wearable devices and smoking sensors were costly and hard to obtain evidence of smoking in unmanned scenarios.With the developments of closed circuit television(CCTV)system,vision-based methods for object detection,mostly driven by deep learning techniques,were introduced recently.However,the massive GPU computing hardware required by the deep learning algorithm made these methods hard to be deployed.This paper aims at solving the smoking detection problem on edge and proposes the solution that has fast detection speed,high accuracy on micro-objects and low computing budget,i.e.,it could be deployed on the edge device such as NVIDIA JETSON TX2.We designed a new framework named RTVBS based on yolov3 and made a smoking dataset to train our model.We raised several methods to improve detection accuracy during the training step.The validation results show our model has excellent performance in smoking detection. | Ruilong Chen Guangfu Zeng Ke Wang Lei Luo Zhiping Cai | 2020 | Journal on Internet of Things2020，2，2： | 0 |
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