A Fixed-time Distributed Algorithm for Least Square Solutions of Linear Equations

Shuling Li,Wu Ai,Jian Wu,Quanxi Feng 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.3

This study presents a fixed-time convergent algorithm to achieve distributed least square (DLS) solutions of networked linear equations. Each agent in the network only knows a subset of the equations and can only exchange messages with its nearest neighbors. Unlike finite-time counterparts, the settling time of the fixed-time distributed algorithm does not depend upon the initial states, and can be preassigned according to the requirements of the task. Numerical simulations verify the theoretical results.

Silencing of Long Non-Coding RNA MALAT1 Promotes Apoptosis of Glioma Cells

Jianping Xiang,Shifeng Guo,Shuling Jiang,Yuelong Xu,Jiwei Li,Li Li,Jinyu Xiang 대한의학회 2016 Journal of Korean medical science Vol.31 No.5

The metastasis-associated lung adenocarcinoma transcription 1 (MALAT1) is a highly conserved long non-coding RNA (lncRNA) gene. However, little is known about the pathological role of lncRNA MALAT1 in glioma. In the present study, we explored the expression level of lncRNA MALAT1 in primary glioma tissues as well as in U87 and U251 glioma cell lines. Using qRT-PCR, we found that the expression of lncRNA MALAT1 was significantly increased in glioma tissues compared with that of paracancerous tissues. Meanwhile, the expression of MALAT1 was highly expressed in U98 and U251 cells. In order to explore the function of MALAT1, the expression of MALAT1 was greatly reduced in U87 and U251 cells transfected with siRNA specifically targeting MALAT1. Consequently, cell viability of U87 and U251 cells were drastically decreased after the knockdown of MALAT1. Concomitantly, the apoptosis rate of the two cell lines was dramatically increased. Furthermore, the expression levels of some tumor markers were reduced after the knockdown of MALAT1, such as CCND1 and MYC. In summary, the current study indicated a promoting role of MALAT1 in the development of glioma cell.

Action Recognition with deep network features and dimension reduction

( Lijun Li ),( Shuling Dai ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.2

Action recognition has been studied in computer vision field for years. We present an effective approach to recognize actions using a dimension reduction method, which is applied as a crucial step to reduce the dimensionality of feature descriptors after extracting features. We propose to use sparse matrix and randomized kd-tree to modify it and then propose modified Local Fisher Discriminant Analysis (mLFDA) method which greatly reduces the required memory and accelerate the standard Local Fisher Discriminant Analysis. For feature encoding, we propose a useful encoding method called mix encoding which combines Fisher vector encoding and locality-constrained linear coding to get the final video representations. In order to add more meaningful features to the process of action recognition, the convolutional neural network is utilized and combined with mix encoding to produce the deep network feature. Experimental results show that our algorithm is a competitive method on KTH dataset, HMDB51 dataset and UCF101 dataset when combining all these methods.

Developing Coarse-Grained Force Fields for Polystyrene with Different Chain Lengths from Atomistic Simulation

Rao, Shuling,Li, Xuejin,Liang, Haojun The Polymer Society of Korea 2007 Macromolecular Research Vol.15 No.7

We developed a coarse-grained force field and have extended it to polystyrene with longer chain length. A systematic method was introduced and was utilized to explain how the coarse-grained force field for polystyrene could be developed from the atomistic simulation in the paper. We elected to use polystyrene with different chain lengths of 20, 40 and 80 monomers in this study. In three cases, we utilized the same new mapping scheme. The coarse-grained force field does reproduce the bond, angle, and radial distribution of the atomistic model. The coarse-grained model proved successful, as shown by analyses of the static and dynamic properties of different chain lengths.

Preparation and Characterization of Hyperbranched Poly(ether ether ketone)s Suitable as Rheology Control Agents for Linear Poly(ether ether ketone)s

Zhenhua Jiang,Xiujie Li,Shuling Zhang,Fugui Zhou,Jinhui Pang,Chunfeng Zhang,Dong Sun,Jianxin Mu,Guibin Wang 한국고분자학회 2011 Macromolecular Research Vol.19 No.5

Hyperbranched poly(ether ether ketone)s (HPEEKs) that were suitable as rheology control agents for linear poly(ether ether ketone)s (LPEEKs) were first prepared via commercially available hydroquinone (A2 monomer,HQ) and synthesized 3,4',5-trifluoro-benzophenone (BB'2 monomer, TF) effortlessly. The polymerization mode of A2 + BB'2 was demonstrated by MS. Moreover, FTIR, 1H NMR, 13C NMR, and 19F NMR spectroscopy revealed the structure and degree of branching (DB) of the resulting polymers. In comparison with A2 + B3 approach, HPEEK prepared using an A2 + BB'2 strategy possessed a higher molecular weight, and improved the melt processability of LPEEK. Remarkably, with the addition of HPEEK, the mechanical properties of LPEEK increased with a HPEEK content of 5%. The improved mechanical properties were attributed to the good miscibility. Moreover, the addition of HPEEK did not decrease the thermal stability of LPEEK.

Four-year changes in central fatness, risk of diabetes, and metabolic control in older adults: a cohort study with mediation analysis

( Xue Cai ),( Dan Luo ),( Shuling Liu ),( Ruxue Li ),( Yanhui Lu ),( Mingzi Li ),( Shanhu Qiu ) 대한내과학회 2022 The Korean Journal of Internal Medicine Vol.37 No.1

Background/Aims: Older adults are vulnerable to central obesity, while the association of changes in central fatness with risk of diabetes and metabolic control has not been investigated among this particular population. This study was aimed to address these issues. Methods: A total of 1,815 adults aged ≥ 60 years without diabetes at baseline were followed for 4 years. Incident diabetes was ascertained based on plasma glucose, hemoglobin A1c, medical history, and/or the use of anti-diabetic drugs. Central fatness was assessed by waist circumference (WC), waist-height ratio (WHtR), and body roundness index (BRI). Logistic regression analyses were used to assess the association of changes in central fatness with risk of diabetes, along with dose-response and mediation analyses. Results: During the 4-year follow-up, 177 participants developed diabetes. The risk of diabetes was increased by 42%, 41%, and 40% per 1 standard deviation increases in WC, WHtR, and BRI, respectively, in multivariable-adjusted models (all p < 0.01). Moreover, these relationships were all linearly-shaped (all p_nonlinearity ≥ 0.11). Increases in WC, WHtR, and BRI correlated with increases in hemoglobin A1c, triglycerides-and-glucose index, triglycerides, white blood cell, and C-reactive protein (all p ≤ 0.04). Yet only changes in hemoglobin A1c and triglycerides-and-glucose index were identified as the possible mediators for risk of diabetes, with their mediating effect being about 35% and 21%, respectively. Conclusions: Increases in central fatness were related to elevated risk of diabetes, and this association might be partly explained by the worsening of glycemic control and insulin resistance in older adults.

Field measurement and numerical simulation of excavation damaged zone in a 2000 m-deep cavern

Zhang, Yuting,Ding, Xiuli,Huang, Shuling,Qin, Yang,Li, Peng,Li, Yujie Techno-Press 2018 Geomechanics & engineering Vol.16 No.4

This paper addresses the issue of field measurement of excavation damage zone (EDZ) and its numerical simulation method considering both excavation unloading and blasting load effects. Firstly, a 2000 m-deep rock cavern in China is focused. A detailed analysis is conducted on the field measurement data regarding the mechanical response of rock masses subjected to excavation and blasting operation. The extent of EDZ is revealed 3.6 m-4.0 m, accounting for 28.6% of the cavern span, so it is significantly larger than rock caverns at conventional overburden depth. The rock mass mechanical response subjected to excavation and blasting is time-independent. Afterwards, based on findings of the field measurement data, a numerical evaluation method for EDZ determination considering both excavation unloading and blasting load effects is presented. The basic idea and general procedures are illustrated. It features a calibration operation of damage constant, which is defined in an elasto-plastic damage constitutive model, and a regression process of blasting load using field blasting vibration monitoring data. The numerical simulation results are basically consistent with the field measurement results. Further, some issues regarding the blasting loads, applicability of proposed numerical method, and some other factors are discussed. In conclusion, the field measurement data collected from the 2000 m-deep rock cavern and the corresponding findings will broaden the understanding of tunnel behavior subjected to excavation and blasting at great depth. Meanwhile, the presented numerical simulation method for EDZ determination considering both excavation unloading and blasting load effects can be used to evaluate rock caverns with similar characteristics.

Preparation and Characterization of a Novel Hyperbranched Poly(aryl ether ketone) Terminated with Cobalt Phthalocyanine to be Used for Oxidative Decomposition of 2,4,6-Trichlorophenol

Lei Lei,Yunhe Zhang,Xiujie Li,Jianxin Mu,Guibin Wang,Zhenhua Jiang,Shuling Zhang 한국고분자학회 2010 Macromolecular Research Vol.18 No.4

A novel hyperbranched poly(aryl ether ketone) terminated with cobalt phthalocyanine (CoPc-T-HPAEK)was prepared using 1,3,5-tris[4-(4-fluorobenzoyl) phenoxy] benzene (B3), as a ‘core’ molecule, 4,4'-(hexafluoroisopropylidene)diphenol (6F-BPA) as an A2 monomer, and cobalt phthalocyanine as an end-capping reagent. CoPc-THPAEK showed good solubility, thermal stability and catalytic activity in the oxidative decomposition of 2,4,6-trichlorophenol (TCP) under H2O2 or KHSO5. Moreover, the oxidative effect of KHSO5 was superior to that of H2O2,and the catalytic activity of CoPc-T-HPAEK was much higher than that of linear poly(aryl ether ketone) terminated with cobalt phthalocyanine (CoPc-T-LPAEK) and linear poly(aryl ether ketone) with a cobalt phthalocyanine pendant unit (CoPc-S-LPAEK).

Sesame Inhibits Cell Proliferation and Induces Apoptosis through Inhibition of STAT-3 Translocation in Thyroid Cancer Cell Lines (FTC-133)

Yunhai Ma,Thiruventhan Karunakaran,Vishnu Priya Veeraraghavan,Surapaneni Krishna Mohan,Shuling Li 한국생물공학회 2019 Biotechnology and Bioprocess Engineering Vol.24 No.4

Thyroid cancer is the most widespread endocrine malignant cancer and its worldwide occurrence rates are swiftly mounting more pressure in the research institutions. Even though the transience of thyroid cancer is comparatively short, its rate of reappearance is moderately elevated, which is a major cause of the incurable disease of the thyroid gland. Consequently, we used natural component which restrains the cancer cell growth by amending precise molecular mechanisms. In this current study, we assessed sesame, which is a very active substance that inhibits cell proliferation by modulation of JAK/STAT-3 signaling in thyroid cancer cell lines (FTC-133). Results showed that sesame triggers cytotoxicity, ROS production and apoptosis in FTC-133 cell lines by time-dependent approach. Furthermore, Signal Transducer and Activating Transcription (STAT-3) is a novel oncogenic transcriptional factor which normalizes apoptosis and proliferation. The reticence of STAT-3 transcription was measured as an innovative approach to hamper thyroid cancer cell growth. In this current study, we established that sesame deactivates STAT-3 translocation, thereby reducing the elevated expression of, cyclin-D1, Bcl-2 and diminished expression of Bax, caspase-9 and 3 in FTC-133 cell lines. Conclusively, sesame hampers thyroid cell expansion and initiates apoptosis by hindering STAT-3 translocation.