A mathematical model to recover missing monitoring data of foundation pit

Liu, Jiangang,Zhou, Dongdong,Liu, Kewen Techno-Press 2015 Geomechanics & engineering Vol.9 No.3

A new method is presented to recover missing deformation data of lateral walls of foundation pit when the monitoring is interrupted; the method is called Dynamic Mathematical Model - Parameter Interpolation. The deformation of lateral walls of foundation pit is mainly affected by the type of supporting structure and the situation of constraints, therefore, this paper mainly studies the two different kinds of variation law of deep horizontal displacement when the lateral walls are constrained or not, proposes two dynamic curve models of normal distribution type and logarithmic type, deals with model parameters by interpolating and obtains the parameters of missing data, then missing monitoring data could be Figured out by these parameters. Compared with the result from the common average method which is used to recover missing data, in the upper 2/3 of the inclinometer tube, the result by using this method is closer to the actual monitoring data, in the lower 1/3 part of the inclinometer tube, the result from the common average method is closer to the actual monitoring data.

Memetic Two-echelon Vehicle Routing Optimization Based on Q Learning Theory and Differential Evolution Algorithm

Liu Dongdong,Liu Kai,Wang Feng,Han Bo,Zhao Zhengping,Tan Fuxiao,Niu Lei 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.8

In allusion to such problems as low accuracy and long convergence time in traditional two-echelon vehicle routing optimization algorithm, a Memetic algorithm (QDEMA) based on Q learning theory and differential evolution is proposed in this article to solve above problems. Firstly, it is necessary to research the two-echelon vehicle routing optimization problem and adopt the optimal segmentation method to obtain the relatively reasonable distribution plan for the first-echelon SDVRP problem in order to accordingly determine the distribution quantity of the transfer stations; secondly, the second-echelon MDVRP distribution scheme is solved to obtain the total distance and the total number of the distribution vehicles for the two-echelon optimization problem; thirdly, in allusion to the solution of the second-echelon MDVRP distribution scheme, Q learning theory and the differential evaluation algorithm are adopted to design new Memetic algorithm in order to globally optimize MDVRP distribution scheme; finally, the simulation experiment is carried out to verify the algorithm effectiveness.

Discrete Particle Swarm Optimization Algorithm in Flexible Hybrid Flow Shop Scheduling

Liu Dongdong,Liu Kai,Zhao Zhengping Han Bo,Zhang Yan 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.10

Traditional flexible flow shop scheduling cannot adapt to the work processes with existence of parallel machines, and blocks or limits the processes with no-wait constraints. Firstly, according to the problem in NWBFFSSP, which minimizes the maximum time used in the flow shop, an optimal solving model has been designed to realize the flexible flow shop scheduling with multi constraints; besides, for the distribution of machinery is improved, Finally, in the solving process, a real-time release priority strategy has been proposed to determine processing machine for each work piece. Furthermore, a methodology to detect work piece conflicts has been introduced while the conflicts are then eliminated by a kind of right moving strategy based on the maximum difference. The experimental results verify the effectiveness and feasibility of the proposed algorithm.

Identification and Validation of Circulating MicroRNA Signatures for Breast Cancer Early Detection Based on Large Scale Tissue-Derived Data

Xiaokang Yu,Jinsheng Liang,Jiarui Xu,Xingsong Li,Shan Xing,Huilan Liu,Wan-Li Liu,Dongdong Liu,Jianhua Xu,Lizhen Huang,Hongli Du 한국유방암학회 2018 Journal of breast cancer Vol.21 No.4

Purpose: Breast cancer is the most commonly occurring cancer among women worldwide, and therefore, improved approaches for its early detection are urgently needed. As microRNAs (miRNAs) are increasingly recognized as critical regulators in tumorigenesis and possess excellent stability in plasma, this study focused on using miRNAs to develop a method for identifying noninvasive biomarkers. Methods: To discover critical candidates, differential expression analysis was performed on tissue-originated miRNA profiles of 409 early breast cancer patients and 87 healthy controls from The Cancer Genome Atlas database. We selected candidates from the differentially expressed miRNAs and then evaluated every possible molecular signature formed by the candidates. The best signature was validated in independent serum samples from 113 early breast cancer patients and 47 healthy controls using reverse transcription quantitative real-time polymerase chain reaction. Results: The miRNA candidates in our method were revealed to be associated with breast cancer according to previous studies and showed potential as useful biomarkers. When validated in independent serum samples, the area under curve of the final miRNA signature (miR-21-3p, miR-21-5p, and miR-99a-5p) was 0.895. Diagnostic sensitivity and specificity were 97.9% and 73.5%, respectively. Conclusion: The present study established a novel and effective method to identify biomarkers for early breast cancer. And the method, is also suitable for other cancer types. Furthermore, a combination of three miRNAs was identified as a prospective biomarker for breast cancer early detection.

Experimental Investigation of Flow Control Technology for Grouting and Blocking of Flowing Water in Karst Conduits

Dongdong Pan,Zehua Bu,Haiyan Li,Zhenhao Xu,Jie Liu 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.8

Aiming at the grouting treatment in karst conduits with large flow and high velocity, we developed a simulation experiment system for conduit-type grouting blocking and investigated the blocking mechanism of flowing water grouting under the condition of flow control. Firstly, we studied the effect of flow control in conduit by controlling the opening of outlet valve and analyzed the variation law of velocity and pressure in conduits under different water heads, conduit diameters and valve opening quantitatively. Secondly, we conducted experiments of flowing water grouting under different flow control conditions, and revealed the influence law of flow control for flowing water grouting. The results show that: 1) with the increase of the intensity of flow control, the pressure in conduit increased gradually, and the velocity of flowing water decreased gradually. 2) When the volume ratio of water and cement was 1.2:1, the volume ratio of cement and sodium silicate was 2:1, the grouting volume was 540 L/h, and the flowing water velocity was 0.15 m/s, flowing water blocking under the condition of flow control achieved the optimal effect. 3) With flow control, the slurry deposition thickness increased more than 50% compared with no flow control; besides, the slurry retention rate increased, and the blocking effect significantly improved. The technology has been successfully applied in the grouting treatment project of China Resources Cement (Pingnan) Limestone Mine. And main water inflow points in the mine were blocked with an total amount of ~210,200 m3/d water reduction. This study provided some theoretical guidance and reference experience for treatment engineering of water inflow in karst area.

A Novel Cyclic Polysiloxane Linked by Guanidyl Groups Used as Flame Retardant and Antimicrobial Agent on Cotton Fabrics

Dongdong Wei,Chaohong Dong,Jian Liu,Zheng Zhang,Zhou Lu 한국섬유공학회 2019 Fibers and polymers Vol.20 No.7

A novel flame retardant and antibacterial agent, (tetramethylcyclosiloxyl-piperazin) tetra guanidine (GNCTSi)used for cotton fabrics was successfully synthesized. The limiting oxygen index (LOI) value of cotton fabric treated with250 g/l GNCTSi reached to 30.1 %. The vertical burning test results showed that the char length of the treated cotton fabricwas 6.5 cm and have no after-flame and no after-glow. Compared with untreated cotton fabric, the treated cotton fabricshowed better flame retardancy and higher residue rate by themogravimetric analysis (TG). The GNCTSi exists on the treatedcotton fabric was observed and the residues of cotton fabric after combustion had a homogeneous surface without break byscanning electron microscopy (SEM). The treated cotton fabric showed good antibacterial activity against E. coli and S. aureus and the inhibition zone were 2.5 mm and 2.3 mm, respectively. After repeated washing, the LOI of cotton fabric is stillhigher than 26 %.

A novel anthracene derivative with an asymmetric structure as an electron transport material for stable Rec. 2020 blue organic light-emitting diodes

Liu Cheng,Zhang Dongdong,Duan Lian 한국정보디스플레이학회 2020 Journal of information display Vol.21 No.3

The stability of blue organic light-emitting diodes (OLEDs) is highly restricted by both the low electron transport mobility and the stability of the electron transport materials (ETMs). Anthracene-derivative-type ETMs have been proven to be potential materials for solving the aforementioned problem, but their performance still needs to be improved. In this study, a novel anthracene derivative with an asymmetric structure was developed as an ETM in deep-blue devices, realizing a 10.41 cd/A current efficiency, a low driving voltage of 4.04 V, (0.139, 0.047) Rec. 2020 CIE coordinates, and a long T99 lifetime of over 100 h at the 20 mA/cm2 current density. Single-crystal diffraction showed that ET-01 has a face-to-face π-π stack, which is the reason for its good performance. Notably, when the lithium quinolate (Liq) doping ratio was further tuned, one of the devices showed no obvious degradation after 140 h of continuous operation at 20 mA/cm2, representing the champion data in the scientific literature.

Comparison of SDE and SPME for the analysis of volatile compounds in butters

Yang Liu,Yunna Wang,Dongdong Yuan,Yan Li,Liebing Zhang 한국식품과학회 2020 Food Science and Biotechnology Vol.29 No.1

The current study aimed to compare the effectiveness of two extraction techniques, namely simultaneous distillation–extraction (SDE) and solid-phase microextraction (SPME), in evaluating key aroma compounds in butters. Volatile compounds’ contributions to butter flavors were evaluated employing both odor active values (OAVs) and gas chromatography olfactometry (GC-O). The results showed that the species of volatile compounds detected by the two techniques were almost the same, whereas their volatile profiles were obviously different. Using SDE method, methyl ketones took up the largest proportion of the volatile compounds, followed by fatty acids. Using SPME method, the most abundant compounds were the fatty acids, followed by lactones. More methyl ketones were detected in the SDE extract owing to lipid degradation as a consequence of the high temperature during extraction. Lactones were considered to be the key aroma compounds, especially d-decalactone, which was identified by both OAVs and GC-O.

Multifunctional Antibacterial and Hydrophobic Cotton Fabrics Treated with Cyclic Polysiloxane Quaternary Ammonium Salt

Jian Liu,Chaohong Dong,Dongdong Wei,Zheng Zhang,Weihao Xie,Qun Li,Zhou Lu 한국섬유공학회 2019 Fibers and polymers Vol.20 No.7

A novel polysiloxane quaternary ammonium salt (NCTSi) was synthesized and used as antibacterial andhydrophobic agent for cotton fabric. The chemical structures were characterized by FT-IR. The surface morphology of treatedcotton fabrics was characterized by scanning electron microscopy (SEM) and energy dispersive spectrometer (EDS). Thecotton fabrics treated with NCTSi showed excellent antibacterial properties against Gram-positive bacteria S. aureus andGram-negative bacteria E. coli. The E. coli antibacterial rate was about 99.52 % and the S. aureus antibacterial rate was about98.33 %, with only a slight decrease after 20 cycles of standard washing, to 91.43 % and 93.33 %, respectively. The inhibitionzone was 2 mm and 2.5 mm against E. coli and S. aureus when NCTSi concentration was 4 %. The treated cotton fabricsprovided excellent hydrophobic properties, and the water contact angle (WCA) reached 124.14 º compared to pure cottonfabrics. The mechanical properties and whiteness were also investigated. As a result of the performed modifications,multifunctional fabrics with a considerably increased hydrophobicity and high antibacterial property were obtained.

Synthesis of a Novel N-halamine-based Cyclic Polysiloxane and Its Antibacterial Application on Cotton Fabrics

Jian Liu,Chaohong Dong,Zheng Zhang,Dongdong Wei,Zhou Lu 한국섬유공학회 2020 Fibers and polymers Vol.21 No.2

A novel N-halamine-based cyclic polysiloxane compound (KCNCTSi) was synthesized and used as an antibacterial agent on cotton fabric. The structures were characterized by Fourier transform infrared spectra (FTIR). The surface morphology of treated cotton fabrics was tested by scanning electron microscopy (SEM) and energy dispersive spectrometer (EDS). The treated cotton fabrics were tested by thermogravimetric analysis (TGA) and showed good thermal stability. The treated cotton fabrics after chlorination exhibited strong antibacterial efficiency against Gram-positive bacteria S. aureus and Gram-negative bacteria E. coli. The E. coli antibacterial rate was about 98.35 % and the S. aureus antibacterial rate was about 99.51 %. The inhibition zones were 1 mm and 1.5 mm against E. coli and S. aureus when KCNCTSi concentration was 350 g/l. The mechanical properties and whiteness were also investigated. As a result of the performed modifications, cotton fabrics with high antibacterial property were obtained.