Amino-modified Mg-MOF-74: Synthesis, characterization and CO2 adsorption performance

Xiaoying Lin,Weipeng Zeng,Minyi Liu,Qinhua Zhong,Ting Su,Linzhu Gong,Yamin Liu 대한환경공학회 2023 Environmental Engineering Research Vol.28 No.1

Based on the solvothermal method to synthesize Mg-MOF-74, the amino-functionalized Mg-MOF-nNH2 was prepared through addition of amino-containing ligands. Physicochemical properties of Mg-MOF-nNH2 materials were well characterized by Powder X-ray diffraction (PXRD), Scanning electron microscope (SEM), Fourier transform infrared spectroscopy (FT-IR), N2 adsorption/desorption isotherms (BET). The adsorption properties of the resulting materials were studied for CO2. In all the samples, the micropore volume of Mg-MOF-1/8NH2 was 0.46 cm3 g−1 and the specific surface area was 924.19m2 g−1, the highest CO2 saturated adsorption capacity was 3.9 mmol g−1, and the dynamic adsorption capacity was 1.27 mmol g−1. The adsorption processes agreed well with the Langmuir isotherm and Avrami model.

Performance Evaluation on Routing Protocols in Multimedia Ad hoc Networks

Xiaoying Lei(뇌효영),Yonghoon Choi(최용훈),Suwon Park(박수원),Seung Hyong Rhee(이승형) 한국통신학회 2012 한국통신학회 학술대회논문집 Vol.2012 No.2

Short-Chain Fatty Acids Attenuate Renal Fibrosis and Enhance Autophagy of Renal Tubular Cells in Diabetic Mice Through the HDAC2/ULK1 Axis

Xiaoying Ma,Qiong Wang 대한내분비학회 2022 Endocrinology and metabolism Vol.37 No.3

Background: This study investigated the effect of short-chain fatty acids (SCFAs) on diabetes in a mouse model. Methods: Autophagy in Akita mice and streptozocin (STZ)-induced diabetic C57BL/6 mice was determined by Western blots andimmunohistochemistry (IHC). Western blots, IHC, hematoxylin and eosin staining, Masson staining, periodic acid-Schiff staining,and picrosirius red staining were conducted to detect whether autophagy and renal function improved in Akita mice and STZ-induced diabetic C57BL/6 mice after treatment of SCFAs. Western blots, IHC, and chromatin immunoprecipitation were performed todetermine whether SCFAs affected diabetic mice via the histone deacetylase (HDAC2)/unc-51 like autophagy activating kinase 1(ULK1) axis. Diabetic mice with kidney-specific knockout of HDAC2 were constructed, and IHC, Masson staining, and Westernblots were carried out to detect whether the deletion of endogenous HDAC2 contributed to the improvement of autophagy and renalfibrosis in diabetic mice. Results: Reduced autophagy and severe fibrosis were observed in Akita mice and STZ-induced diabetic C57BL/6 mice. Increased autophagy and reduced renal cell fibrosis were found in SCFA-treated Akita diabetic mice and STZ-induced diabetic C57BL/6 mice. Diabetic mice treated with SCFAs had lower HDAC2 expression and more enriched binding of ULK1 promoter sequences to H3K27Ac. Endogenous knockout of HDAC2 caused enhanced autophagy and decreased renal fibrosis in diabetic mice treated with SCFAs. Conclusion: SCFAs enhanced autophagy of renal tubular cells and attenuated renal fibrosis in diabetic mice through the HDAC2/ULK1 axis.

Compression Property of Curved Three-dimensional Flat-knitted Spacer Fabric Composites under Quasi-static Loading

Xiaoying Li,Shuang Yu,Pibo Ma,Gaoming Jiang,Honglian Cong 한국섬유공학회 2019 Fibers and polymers Vol.20 No.9

In order to study the compression property of curved three-dimensional(3D) flat-knitted spacer fabric compositesand to provide experimental data for the study of subsequent low speed impact and residual strength, 3D flat-knitted spacerfabrics were knitted into flat and curvilinear shapes, then 3D flat-knitted spacer fabric composites curved in different angleswere developed. Compression tests on various curvilinear composites were carried out using the universal material testingmachine after which stress-strain curves are compared. The results revealed that when other experimental conditions are thesame, the coursewise compression peak was significantly higher than waleswise, and compression peak also graduallyincreased with the increase of curvature, no matter the surface of 3D spacer fabric reinforced composites is flat or curvilinear. This research will lay the foundation for the further mechanical property study of curved 3D spacer fabric composites.

Spatial protein expression of Panax ginseng by in-depth proteomic analysis for ginsenoside biosynthesis and transportation

Xiaoying Li,Xianhui Cheng,Baosheng Liao,Jiang Xu,Xu Han,Jinbo Zhang,Zhiwei Lin,Lianghai Hu 고려인삼학회 2021 Journal of Ginseng Research Vol.45 No.1

Background: Panax ginseng, as one of the most widely used herbal medicines worldwide, has been studied comprehensively in terms of the chemical components and pharmacology. The proteins from ginseng are also of great importance for both nutrition value and the mechanism of secondary metabolites. However, the proteomic studies are less reported in the absence of the genome information. With the completion of ginseng genome sequencing, the proteome profiling has become available for the functional study of ginseng protein components. Methods: We optimized the protein extraction process systematically by using SDS-PAGE and one-dimensional liquid chromatography mass spectrometry. The extracted proteins were then analyzed by two-dimensional chromatography separation and cutting-edge mass spectrometry technique. Results: A total of 2,732 and 3,608 proteins were identified from ginseng root and cauline leaf, respectively, which was the largest data set reported so far. Only around 50% protein overlapped between the cauline leaf and root tissue parts because of the function assignment for plant growing. Further gene ontology and KEGG pathway revealed the distinguish difference between ginseng root and leaf, which accounts for the photosynthesis and metabolic process. With in-deep analysis of functional proteins related to ginsenoside synthesis, we interestingly found the cytochrome P450 and UDP-glycosyltransferase expression extensively in cauline leaf but not in the root, indicating that the post glucoside synthesis of ginsenosides might be carried out when growing and then transported to the root at withering. Conclusion: The systematically proteome analysis of Panax ginseng will provide us comprehensive understanding of ginsenoside synthesis and guidance for artificial cultivation.

Algorithms and Stability Analysis for Content Distribution over Multiple Multicast Trees

Xiaoying Zheng,Chunglae Cho,Ye Xia IEEE 2015 IEEE transactions on parallel and distributed syst Vol.26 No.5

<P>The paper investigates theoretical issues in applying the universal swarming technique to efficient content distribution. In a swarming session, a file is distributed to all the receivers by having all the nodes in the session exchange file chunks. By universal swarming, not only all the nodes in the session, but also some nodes outside the session may participate in the chunk exchange to improve the distribution performance. We present a universal swarming model where the chunks are distributed along different Steiner trees rooted at the source and covering all the receivers. We assume chunks arrive dynamically at the sources and focus on finding stable universal swarming algorithms. To achieve the throughput region, universal swarming usually involves a tree-selection subproblem of finding a min-cost Steiner tree, which is NP-hard. We propose a universal swarming scheme that employs an approximate tree-selection algorithm. We show that it achieves network stability for a reduced throughput region, where the reduction ratio is no more than the approximation ratio of the tree-selection algorithm. We propose a second universal swarming scheme that employs a randomized tree-selection algorithm. It achieves the throughput region, but with a weaker stability result. Comprehensive simulation results support the stability analysis of the algorithms. The proposed schemes and their variants are expected to be useful for infrastructure-based content distribution networks with massive content and relatively stable network environment.</P>

Plasma D-dimer Can Effectively Predict the Prospective Occurrence of Ascites in Advanced Schistosomiasis Japonica Patients

Xiaoying Wu,Jianwei Ren,Zulu Gao,Yun Xu,Huiqun Xie,Tingfang Li,Yanhua Cheng,Fei Hu,Hongyun Liu,Zhihong Gong,Jinyi Liang,Jia Shen,Zhen Liu,Feng Wu,Xi Sun,Zhongzheng Niu,An Ning 대한기생충학열대의학회 2017 The Korean Journal of Parasitology Vol.55 No.2

Enhancing IEEE 802.11 Power Saving Mechanism (PSM) with a Time Slotted Scheme

Xiaoying Lei,Seung Hyong Rhee(이승형) 한국통신학회 2013 韓國通信學會論文誌 Vol.38 No.8(네트워크)

데이터전송 증가에 따라 제한적인 배터리를 사용하는 모바일 단말에서 효율적으로 전력을 사용하는 것은 중요하게 여겨지고 있다. 802.11 표준에 있는 Power Saving Mechanism (PSM)은 부하가 많은 네트워크에서 적합하지 않다. AP(Access Point)는 버퍼링된 프레임을 PS (Power Saving) 단말들에게 즉시 보낼 수 없어서 단말들이 깨어있는 모드를 계속 유지함으로써 전력을 낭비하게 된다. 또한, PS단말들이 하나의 데이터 프레임을 받기 위해 AP 에게 하나의 PS-POLL프레임을 전송하는 방식은 효율적이지 않다. 본 논문에서는 802.11 PSM의 성능을 향상하기 위해 PS단말들이 AP에게 데이터 받을 시간을 미리 예약하는 시분할 메커니즘을 제안한다. 제안된 메커니즘은 충돌가능성을 감소시킬 수 있으며 채널사용 효율을 높일 수 있다. 분석결과 및 시뮬레이션 결과로부터, 제안된 시분할 메커니즘은 전체 네트워크의 전력소비가 효과적으로 감소되며, PSM의 성능을 개선시킨다. Power efficiency becomes more important in wireless LANs as the mobile stations send more data with limited batteries. It has been known that the IEEE 802.11 PSM is not efficient in high load networks: AP cannot deliver buffered packets to a PS station immediately and it can lead the station to stay in active state quite long and result in energy waste. Moreover, it is inefficient that only one data frame is retrieved by a PS-POLL frame. In this paper, we propose a time slotted scheme to enhance the PSM, in which a mobile station can reserve time slots to receive data frames. Our mechanism can reduce collisions by reservation and decrease the channel occupancy by transmitting multiple data frames via one PS-POLL. The analytic model and simulation results show that proposed scheme reduces power consumption significantly and enhances the performance of PSM.

Three-Dimensional FeSe2 Microflowers Assembled by Nanosheets: Synthesis, Optical Properties, and Catalytic Activity for the Hydrogen Evolution Reaction

Xiaoying Chang,Jikang Jian,Gemei Cai,Rong Wu,Jin Li 대한금속·재료학회 2016 ELECTRONIC MATERIALS LETTERS Vol.12 No.2

Three-dimensional FeSe2 microflowers were synthesized for the firsttime by a facile solvothermal method, using FeCl2·4H2O and seleniumpowder as raw materials, along with ethanolamine as solvent. Theproducts were characterized by X-ray diffraction (XRD), scanningelectron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS),transmission electron microscopy (TEM), and X-ray photoelectronspectroscopy (XPS). The results show that the FeSe2 microflowersconsist of nanosheets with a thickness of about 50 - 80 nm. The Ramanspectrum shows the characteristic peaks of Se-Se vibration modes. Theoptical band gap of the sample was determined to be 1.48 eV by UVvisibleabsorption spectroscopy. The photoluminescence properties ofthe FeSe2 microflowers and their catalytic activity for the hydrogenevolution reaction were also assessed. Finally, a possible growthmechanism of the FeSe2 microflowers is proposed.

Operating Range Scheduled Robust Dahlin Algorithm to Typical Industrial Process with Input Constraint

Xiaoying Tian,Hui Peng,Xuguang Luo,Shiyuan Nie,Feng Zhou,Xiaoyan Peng 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.4

There is a class of typical nonlinear industrial process, which can be characterized by a first-order inertia plus pure delay model in an operating range, but the model parameters are different in different operating ranges. Usually, a set of Proportion Integration Differentiation (PID) controllers may be used to control the process, and the controllers have different parameters in different operating areas. However, the adjustment process of the PID controllers’ parameters is not an easy job in practice, and the control performance may also be not perfect. The Dahlin algorithm may provide very good control performance for the process, but its control performance may become very poor if the model parameters are not accurate and/or the input is constrained. Faced with this issue, this paper proposes an Operating-Range Scheduled Robust Dahlin Algorithm (ORSRDA) for the process control with input constraint, which is designed on the basis of a nominal first-order inertia plus pure delay model and the given parameters uncertainty. The process operating ranges are divided into pre-designed several zones accordingto the difference between output setting value and current output when a new setting appears. For each operating range, the parameters of ORSRDA are obtained by solving a min-max problem offline to guarantee the closedloop system’s robust stability and acquire the best step-response control performance. To eliminate the steady state error, the integration control action is added into the ORSRDA when the system output is close to its setting value. The proposed method is applied to temperature control of an experimental electric furnace to demonstrate its effectiveness and implement procedure.