A successive ‘‘conversion-deposition” mechanism achieved by micro-crystalline Cu2O modified current collector for composite lithium anode

Yifei Cai,Bin Qin,Chun Li,Xiaoqing Si,Jian Cao,Xiaohang Zheng,LIANG QIAO,Junlei Qi 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.120 No.-

Lithium (Li) metal is a promising material for high-energy–density batteries, but it is still plagued byobvious capacity degradation and low average Coulombic efficiency resulting from dendrite Li propagation. One main reason is the electro-mechanic coupled failure of plated Li on the current collector, whichcontributes to non-dense Li deposition on the anode. Transition metal oxides (TMOs) with a conversiontypemechanism have been used directly as the anode materials for lithium ion batteries, which demonstratedbetter electro-mechanical stability than metal Li. Herein, a successive ’’conversion-deposition’’mechanism is ingeniously developed to restrain the generation of dendritic Li. Specifically, a microcrystallineCu2O modified current collector was prepared, in which Li+ are sequentially inserted intoCu2O and deposited in the form of Li metal at successive low potential. A Li-Cu half-cell based on thehybrid mechanism sustains a high Coulombic efficiency of over 99.3 % in up to 800 cycles. This work ingeniouslyinhibits the generation of dendrite Li by incorporating conversion-type materials withdeposition-dissolution type metal Li, which contributes to a novel concept for the design of functionalcurrent collectors for composite Li anodes.

Mass Spectrometry for Metabolome Analysis

Wang, Xiaohang,Li, Liang Korean Society for Mass Spectrometry 2020 Mass spectrometry letters Vol.11 No.2

Metabolomics has become an important research field with many areas of applications ranging from disease biomarker discovery to global biology systems study. A key step in metabolomics is to perform metabolome analysis to obtain quantitative information on metabolic changes among comparative samples. Mass spectrometry (MS) is widely used for highly sensitive detection of many different types of metabolites. In this review, we highlight some of the more commonly used MS techniques for metabolome analysis.

State Estimation and Simultaneous Unknown Input and Measurement Noise Reconstruction based on Adaptive H∞ Observer

Jian Zhang,Xiaohang Li,Fanglai Zhu 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.3

In this paper, we consider problems of state estimation, unknown input, and measurement noise reconstructionfor a class of Lipschitz nonlinear systems. By extending the measurement noise as an auxiliary statevector, the original system is transformed into an augmented descriptor system. Then an adaptive H∞ observeris developed for estimating the states, unknown input and measurement noise simultaneously. Further, sufficientconditions of the existence of the adaptive H∞ observer are given in the form of linear matrix inequality, which canbe solved easily via some efficient mathematic tools. Finally, two simulation examples are given to illustrate theeffectiveness of the proposed method.

Observer-based Time-varying Formation Tracking for One-sided Lipschitz Nonlinear Systems via Adaptive Protocol

Chenhang Yan,Wei Zhang,Xiaohang Li,Yuchen Qian 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.11

In this paper, we investigate the problem of observer-based time-varying leader-following formation tracking for multi-agent systems with the one-sided Lipschitz and quadratic inner- boundedness nonlinear dynamics.An idea of the observer-based protocol with an edge-based adaptive law is designed for nonlinear systems, which enable agents to achieve a desired formation tracking when it cannot obtain the full state of the nonlinear system. In contrast to the previous nonlinear formation systems, the advantage of the developed method is that it is less conservative and more general for the nonlinear system with large Lipschitz constants. Besides, under the proposed adaptive law, the design of the protocol does not rely on the known communication topology. Finally, the simulation results for one leader and six followers are proposed to show the feasibility and effectiveness of the proposed method in the nonlinear time-varying formation system.

Robust Observer Based Fault-tolerant Control for One-sided Lipschitz Markovian Jump Systems with General Uncertain Transition Rates

Feifei Chen,Dunke Lu,Xiaohang Li 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.7

This paper presents an integrated design of adaptive sliding mode observer and fault-tolerant control for aclass of one-sided Lipschitz Markovian jump systems with general uncertain transition rates. In the design process,an adaptive sliding mode observer is first constructed to estimate the states of the original system without knowingany information of the unknown input. Then a fault-tolerant control strategy is therefore proposed to stabilize theclosed-loop system against the unknown input. Sufficient conditions of the existences of the designed observer andcontroller are deduced in the forms of linear matrix inequalities. In the end, several examples are given to illustratethe effectiveness and make some comparisons with other results.

Silica-Modified Electrospun Membrane with Underwater Superoleophobicity for Effective Gravity-driven Oil/Water Separation

Yani Guo,Ming Li,Xuan Wen,Xiaohang Guo,Tiantian Zhang 한국섬유공학회 2022 Fibers and polymers Vol.23 No.7

Superhydrophilic and underwater superoleophobic membrane materials have been widely studied owing to theirexcellent separation efficiency. However, the oil-fouling problem is a major drawback limiting their practical oil/waterseparation applications. Herein, a silica-enhanced functionalized poly(styrene-alt-maleic anhydride)/fluorocarbon surfactantnanofibrous composite membrane (f-PSMA/FS/SiO2) with underwater superoleophobicity was fabricated by theelectrospinning method. The uniformly dispersed silica nanoparticles not only increased the roughness of the as-preparedcomposite membrane but also substantially improved the underwater superoleophobicity. Therefore, the as-preparedcomposite membrane showed excellent underwater anti-oil-fouling performance, thus preventing the decrease in theseparation efficiency and flux caused by membrane fouling during oil/water separation. Throughout 60 separation cyclessolely driven by gravity, the separation efficiencies were above 99.27 %, and the flux remained higher than 3743 L m-2 h-1. More importantly, the as-prepared composite membrane maintained exceptional underwater superoleophobicity in a harshenvironment (30 wt% NaCl for 12 h, pH 1 (HCl) for 12 h, oven temperature at 90 °C for 2 h). Thus, because of its robustthermal stability and chemical durability, the antifouling f-PSMA/FS/SiO2 composite membrane has tremendous potential forfuture practical applications in the treatment of oily wastewater.

Discrete-time Linear Descriptor System Unknown Input Observer Design: an Auxiliary Output-based Approach

Jiancheng Zhang,Jun Li,Fanglai Zhu,Xiaohang Li 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.6

This paper develops a new unknown input observer (UIO) design method for a class of discrete-timelinear descriptor systems when the observer matching condition is not satisfied. By equivalent transformations, thestate and unknown input observations of the descriptor system are changed to the UIO design problem for a generallinear dynamic system firstly. Then based on some further discussion on the concept of the system left invertibility,a new auxiliary output vector is constructed which allows us to remove the unknown inputs from the dynamicequation, and thereby a Luenberger-type observer can be constructed. One of the advantages of the present methodis that it can work only under the single strongly detectable condition. Finally, a simulation example is given toverify the effectiveness and show the superiorities of our methods.

Multi-scale and Interactive Visual Analysis of Public Bicycle System

( Xiaoying Shi ),( Yang Wang ),( Fanshun Lv ),( Xiaohang Yang ),( Qiming Fang ),( Li Zhang ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.6

Public bicycle system (PBS) is a new emerging and popular mode of public transportation. PBS data can be adopted to analyze human movement patterns. Previous work usually focused on specific scales, and the relationships between different levels of hierarchies are ignored. In this paper, we introduce a multi-scale and interactive visual analytics system to investigate human cycling movement and PBS usage condition. The system supports level-of-detail explorative analysis of spatio-temporal characteristics in PBS. Visual views are designed from global, regional and microcosmic scales. For the regional scale, a bicycle network is constructed to model PBS data, and an flow-based community detection algorithm is applied on the bicycle network to determine station clusters. In contrast to the previous used Louvain algorithm, our method avoids producing super-communities and generates better results. We provide two cases to demonstrate how our system can help analysts explore the overall cycling condition in the city and spatio-temporal aggregation of stations.

ANXA3, associated with YAP1 regulation, participates in the proliferation and chemoresistance of cervical cancer cells

Huang Jiazhen,Wei Wei,Kang Fuli,Tan Shuang,Li Yibing,Lu Xiaohang,Wang Ning 한국유전학회 2023 Genes & Genomics Vol.45 No.12

Background Cervical cancer, as one of the most common cancers in women, remains a major health threat worldwide. Annexin A3 (ANXA3), a component of the annexin family, is upregulated in numerous cancers, with no explicit role in cervical cancer. Objective This study aims to investigate the function of ANXA3 in cervical cancer. Methods Differential expression genes between the cervical cancer tissues of patients and the controls were analyzed in The Cancer Genome Atlas (TCGA) and Gene Expression Profiling Interactive Analysis (GEPIA) database. Using transfection approaches to either upregulate or downregulate ANXA3, its role in cell proliferation and chemosensitivity of human cervical cancer cell lines (HeLa and C33A) was evaluated. Furthermore, the binding activity between YAP1 and ANXA3 was also explored. Results Genomics analysis indicated that differential genes were mostly associated with cell cycle progression and DNA replication. ANXA3 was highly expressed in the cervical cancer tissues and closely linked to malignancy degree. Knockdown of ANXA3 in cervical cancer cells inhibited cell cycle progression. A similar result was observed in the reduction of cyclin D, CDK4, cyclin E, and CDK2 in cervical cancer cells with ANXA3 silencing. Cervical cancer cells obtained high sensitivity to cisplatin (DDP) when ANXA3 was downregulated. Conversely, these capabilities were the opposite in cervical cancer cells overexpressing ANXA3. Furthermore, the expression levels of ANXA3 and YAP1 were positively correlated. YAP1 upregulation was positively connected with malignant behaviors, which were reversed by ANXA3 downregulation. Conclusion In light of our findings, targeting ANXA3 expressed in cervical cancer might contribute to more potential therapeutic strategies.

Phosphodiesterase 4D contributes to angiotensin II-induced abdominal aortic aneurysm through smooth muscle cell apoptosis

Gao Ran,Guo Wenjun,Fan Tianfei,Pang Junling,Hou Yangfeng,Feng Xiaohang,Li Bolun,Ge Weipeng,Fan Tianhui,Zhang Tiantian,Lu Jiakai,Jing He,Jin Mu,Yan Chen,Wang Jing 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-

Abdominal aortic aneurysm (AAA) is a permanent expansion of the abdominal aorta that has a high mortality but limited treatment options. Phosphodiesterase (PDE) 4 family members are cAMP-specific hydrolyzing enzymes and have four isoforms (PDE4A-PDE4D). Several pan-PDE4 inhibitors are used clinically. However, the regulation and function of PDE4 in AAA remain largely unknown. Herein, we showed that PDE4D expression is upregulated in human and angiotensin II-induced mouse AAA tissues using RT-PCR, western blotting, and immunohistochemical staining. Furthermore, smooth muscle cell (SMC)-specific Pde4d knockout mice showed significantly reduced vascular destabilization and AAA development in an experimental AAA model. The PDE4 inhibitor rolipram also suppressed vascular pathogenesis and AAA formation in mice. In addition, PDE4D deficiency inhibited caspase 3 cleavage and SMC apoptosis in vivo and in vitro, as shown by bulk RNA-seq, western blotting, flow cytometry and TUNEL staining. Mechanistic studies revealed that PDE4D promotes apoptosis by suppressing the activation of cAMP-activated protein kinase A (PKA) instead of the exchange protein directly activated by cAMP (Epac). Additionally, the phosphorylation of BCL2-antagonist of cell death (Bad) was reversed by PDE4D siRNA in vitro, which indicates that PDE4D regulates SMC apoptosis via the cAMP-PKA-pBad axis. Overall, these findings indicate that PDE4D upregulation in SMCs plays a causative role in AAA development and suggest that pharmacological inhibition of PDE4 may represent a potential therapeutic strategy.