Showing papers by "Xuzhou Institute of Technology published in 2018"

A high-rate and stable quasi-solid-state zinc-ion battery with novel 2D layered zinc orthovanadate array

Abstract: Zinc-ion batteries are under current research focus because of their uniqueness in low cost and high safety. However, it is still desirable to improve the rate performance by improving the Zn2+ (de)intercalation kinetics and long-cycle stability by eliminating the dendrite formation problem. Herein, the first paradigm of a high-rate and ultrastable flexible quasi-solid-state zinc-ion battery is constructed from a novel 2D ultrathin layered zinc orthovanadate array cathode, a Zn array anode supported by a conductive porous graphene foam, and a gel electrolyte. The nanoarray structure for both electrodes assures the high rate capability and alleviates the dendrite growth. The flexible Zn-ion battery has a depth of discharge of ≈100% for the cathode and 66% for the anode, and delivers an impressive high-rate of 50 C (discharge in 60 s), long-term durability of 2000 cycles at 20 C, and unprecedented energy density ≈115 Wh kg-1 , together with a peak power density ≈5.1 kW kg-1 (calculation includes masses of cathode, anode, and current collectors). First principles calculations and quantitative kinetics analysis show that the high-rate and stable properties are correlated with the 2D fast ion-migration pathways and the introduced intercalation pseudocapacitance.

Lump and lump-soliton solutions to the $$(2+1)$$ ( 2 + 1 ) -dimensional Ito equation

Abstract: Based on the Hirota bilinear form of the $$(2+1)$$ -dimensional Ito equation, one class of lump solutions and two classes of interaction solutions between lumps and line solitons are generated through analysis and symbolic computations with Maple. Analyticity is naturally guaranteed for the presented lump and interaction solutions, and the interaction solutions reduce to lumps (or line solitons) while the hyperbolic-cosine (or the quadratic function) disappears. Three-dimensional plots and contour plots are made for two specific examples of the resulting interaction solutions.

Data Processing and Text Mining Technologies on Electronic Medical Records: A Review.

Abstract: Currently, medical institutes generally use EMR to record patient’s condition, including diagnostic information, procedures performed, and treatment results. EMR has been recognized as a valuable resource for large-scale analysis. However, EMR has the characteristics of diversity, incompleteness, redundancy, and privacy, which make it difficult to carry out data mining and analysis directly. Therefore, it is necessary to preprocess the source data in order to improve data quality and improve the data mining results. Different types of data require different processing technologies. Most structured data commonly needs classic preprocessing technologies, including data cleansing, data integration, data transformation, and data reduction. For semistructured or unstructured data, such as medical text, containing more health information, it requires more complex and challenging processing methods. The task of information extraction for medical texts mainly includes NER (named-entity recognition) and RE (relation extraction). This paper focuses on the process of EMR processing and emphatically analyzes the key techniques. In addition, we make an in-depth study on the applications developed based on text mining together with the open challenges and research issues for future work.

Lump solutions to a generalized Bogoyavlensky-Konopelchenko equation

Abstract: A (2 + 1)-dimensional generalized Bogoyavlensky-Konopelchenko equation that possesses a Hirota bilinear form is considered. Starting with its Hirota bilinear form, a class of explicit lump solutions is computed through conducting symbolic computations with Maple, and a few plots of a specicpresented lump solution are made to shed light on the characteristics of lumps. The result provides a new example of (2 + 1)-dimensional nonlinear partial differential equations which possess lump solutions.

Lump solutions of a generalized Calogero–Bogoyavlenskii–Schiff equation

Abstract: A generalized Calogero–Bogoyavlenskii–Schiff equation is considered, and based on its Hirota bilinear form, a class of lump solutions is explicitly generated via symbolic computations with Maple, together with plots of a specific lump solution. The result enlarges the category of nonlinear partial differential equations which possess lump solutions.

Scenario prediction of China’s coal production capacity based on system dynamics model

Abstract: Given the primary status of China’s coal in the energy structure, the scientific prediction of China’s coal production capacity (CPC) is of great significance to the orderly exploitation and use of coal resources and emission-reduction policy-making. This paper proposes a system dynamic (SD) model to forecast the change of China’s CPC in three scenarios – Baseline as Usual Scenario (BUS), Policy Regulation Scenario (PRS) and Strengthening Policy Scenario (SPS). Results show that: (1) SD model performs well in simulating the historical data and has a remarkable consistency between model behavior and actual situation. (2) Because of the continuous economic growth, China’s coal demand and carbon dioxide emissions will continue increasing and not peak by the year 2020 in the three scenarios, although the energy efficiency and energy consumption structure have actually improved. However, the expected goal of China’s carbon dioxide emission reduction is fully achieved in both the PRS and the SPS. (3) In the PRS, China’s coal production and demand in the year 2020 will be 4.334 and 3.852 billion tons, respectively. The relative overproduction appears to be aggravated, and the “supply-over-demand” situation in the coal market will not change noticeably. (4) China’s CPC will reach 5.144, 4.635 and 4.492 billion tons per year by the year 2020 in the BUS, the PRS and the SPS, respectively. China’s coal overcapacity will continue and face a severe challenge in the future. (5) The gap between coal supply and demand tends to be greater in the PRS and the SPS, and the PRS is considered to be the most conducive scenario to control China’s CPC because this scenario is consistent with China’s national circumstances. Finally, for abating the amount of China’s CPC, some suggestions are given from the perspective of supply-side reform in China’s coal industry.

Path Planning of Mobile Robot Based on Hybrid Multi-Objective Bare Bones Particle Swarm Optimization With Differential Evolution

Abstract: An improved path planning for mobile robots is proposed based on the hybrid multi-objective bare-bones particle swarm optimization with differential evolution. The mathematical model for robot path planning is firstly devised as a tri-objective optimization with three indices, i.e., the path length, the smoothness degree of a path, and the safety degree of a path. Then, a hybrid multi-objective bare bones particle swarm optimization is developed to generate feasible paths by combining infeasible paths blocked by obstacles with feasible paths via improved mutation strategies of differential evolution. In addition, a new Pareto domination with collision constraints is developed to select the personal best position of a particle according to the definition of the collision degree of a path. Simulation results confirm the effectiveness of our algorithm.

Phosphorus-doped cobalt-iron oxyhydroxide with untrafine nanosheet structure enable efficient oxygen evolution electrocatalysis.

Abstract: Although explosive progresses have been achieved in the field of water splitting, the design and development of stable and inexpensive electrocatalysts for oxygen evolution remain a formidable challenge. Herein, the cost-efficient two dimensional (2D) phosphorus-doped CoFe oxyhydroxide nanosheets (denoted as CoFeP NSs) are successfully engineered and showing exceptional oxygen evolution reaction (OER) activity and chemical stability in 1 M KOH solution. This unique 2D nanosheet structure facilitates the mass transfer and electron transport, resulting in the remarkable OER activity that delivers a current density of 10 mA cm−2 at a low overpotential of 305 mV with an ultra-small Tafel slope 49.6 mV/dec. More significantly, the doped P also plays a vital role in modulating the surface active sites, leading to the substantial enhancement of electrocatalytic performances. Our study provides a facile one-pot method for the successful fabrication of 2D P-doped CoFe NSs which display superior electrocatalytic performance, shedding great promise for environment and energy-related fields.

Self-supported nickel-cobalt nanowires as highly efficient and stable electrocatalysts for overall water splitting.

Abstract: The development and design of highly active and stable electrocatalysts based on cheap and Earth-abundant materials is critically important to enable water splitting as a desirable renewable energy source. Herein, we fulfill the significant electrochemical water splitting enhancement in both electrocatalytic activity and durability by constructing self-supported nickel-cobalt nanowire catalysts with abundant oxygen vacancies. Specifically, the rich oxygen vacancies can largely promote the oxygen evolution reaction (OER) activity of optimal Ni1Co1O2 NWs with a relatively low overpotential of 248 mV to drive a current density of 10 mA cm-2. More significantly, after the phosphorization of Ni1Co1O2 NWs, the resultant Ni1Co1P NWs can also display excellent electrocatalytic hydrogen evolution reaction (HER) performances with an overpotential of only 101 mV to achieve a current density of 10 mA cm-2. Furthermore, benefiting from the unique 1D nanowire structure, the synergistic effect, and the optimal Gibbs free energy for hydrogen evolution evolved from the phosphorization, the Ni1Co1O2 NWs//Ni1Co1P NWs couple is thus highly active and stable for overall water electrolysis with a low voltage of 1.58 V at 10 mA cm-2, showing extraordinary promise for practical overall water splitting electrolysis.

Changes in nutritional and bio-functional compounds and antioxidant capacity during black garlic processing.

Abstract: This study aimed to explore ideal processing condition for black garlic based on the change of nutritional and active components and antioxidant capacity. Fresh garlic was processed under the condition of constant temperature (65, 75 and 85 °C) and relative humidity (70, 75, 80 and 85%) for 16 days. The sensory scores, contents of nutritional and active components, and antioxidant capacity were monitored. The sensory scores reached the maximum on the 8th day at 85% humidity and 75 °C. The contents of nutritional components were significantly affected by humidity and temperature, and 85% humidity and 75 °C were appropriate. The polyphenol content increased with increase in temperature and decrease in humidity. The reducing sugars and total sugars, total acids and 5-HMF were higher at 75 °C than at 65 and 85 °C. Reducing sugar and protein contents and sensory scores decreased on the 8th day. Maintaining the temperature of 75 °C and relative humidity of 85% for 8 days were ideal for black garlic to retain antioxidant capacity and abundant nutrients.

A Lightweight End-Side User Experience Data Collection System for Quality Evaluation of Multimedia Communications

Abstract: A lightweight evaluation system, which can be deployed on common user equipment in commercial mobile networks, is proposed for measuring the user experience of multimedia services. The user experience evaluation system can measure the key quality indicators of traditional and emerging services in different scenarios. In contrast to traffic models, this system models typical user behavior to construct complex scenarios of communication networks. In commercial network experiments, the proposed evaluation system achieves stable and efficient performance in complex scenarios, which consist of different types of services and typical user behaviors.

A cellular automata model for high-density crowd evacuation using triangle grids

Abstract: In this paper, according to the characteristics of evacuation in high-density crowd, a new triangular grid cellular automata model is proposed. In this model, the maximum density of crowd can reach to 8 person/m2 which is measured by the experiment. And pedestrians can move to 14 directions if there are no obstructions around them. Meanwhile, this paper proposes the concept and calculation rules of moving potential in the moving field. The moving potential provides reference for the movement of a pedestrian. Through the comparison of the measured values and the simulated values of an evacuation process in a building, it is proved that the model can accurately simulate the evacuation process of high density crowd.

Tunable Plasmon-Induced Transparency Effect in MIM Side-Coupled Isosceles Trapezoid Cavities System

Abstract: We propose a plasmonic structure based on the metal-insulator-metal waveguide with the side-coupled isosceles trapezoid cavities. Both of the structures based on the side-coupled trapezoid cavities separated or connected with waveguides can realize the plasmon-induced transparency (PIT). By adjusting the structure parameters, the off-to-on PIT response can be tunably achieved. The coupled mode theory (CMT) method is used to study the PIT phenomenon and explain the transmission characteristics. This work may provide a potential way for designing highly integrated photonic devices.

Genes involved in Beauveria bassiana infection to Galleria mellonella

Abstract: The ascomycete fungus Beauveria bassiana is a natural pathogen of hundreds of insect species and is commercially produced as an environmentally friendly mycoinsecticide. Many genes involved in fungal insecticide infection have been identified but few have been further explored. In this study, we constructed three transcriptomes of B. bassiana at 24, 48 and 72 h post infection of insect pests (BbI) or control (BbC). There were 3148, 3613 and 4922 genes differentially expressed at 24, 48 and 72 h post BbI/BbC infection, respectively. A large number of genes and pathways involved in infection were identified. To further analyze those genes, expression patterns across different infection stages (0, 12, 24, 36, 48, 60, 72 and 84 h) were studied using quantitative RT-PCR. This analysis showed that the infection-related genes could be divided into four patterns: highly expressed throughout the whole infection process (thioredoxin 1); highly expressed during early stages of infection but lowly expressed after the insect death (adhesin protein Mad1); lowly expressed during early infection but highly expressed after insect death (cation transporter, OpS13); or lowly expressed across the entire infection process (catalase protein). The data provide novel insights into the insect–pathogen interaction and help to uncover the molecular mechanisms involved in fungal infection of insect pests.

A Simplified PWM Strategy for Three-Level Converters on Three-Phase Four-Wire Active Power Filter

Abstract: Presently, the neutral-point potential offset is an inherent problem for three-level converters on three-phase four-wire active power filters. The conventional three-dimensional space vector pulse width modulation (3-D-SVPWM) strategy is adopted as a normal solution to the problem, but the selection of space vector sectors for four-wire converter is both abstract and complicated in practice. This paper proposes a new PWM strategy accordingly to simplify the selection process and the calculation of duration. Compared to the conventional 3D-SVPWM, the proposed method locates the sector of optimal vector directly with the polarity of three-phase reference voltage. Then, by applying voltage–second balance rule, it can perform a fast calculation of the duration and generate PWM signals to control the switching devices’ on/off. As an approach to correct the imbalance dc-link capacitor voltage, this strategy reconstructs the switching sequence. A portion of state O duration is disassembled into states P and N to suppress the neutral-point potential offset. The proposed strategy is validated with a range of experiments. The results indicate that this simplified PWM strategy can effectively reduce the computational burden, and also the dc-link capacitor voltage is well controlled.

Modeling and Kinematics Simulation of a Mecanum Wheel Platform in RecurDyn

Abstract: The innovative method of modeling and kinematics simulation in RecurDyn are proposed, taking a Mecanum wheel platform(MWP) for omnidirectional wheelchair as research object In order to study the motion characteristics and mobile performance of the MWP, the virtual prototype simulation model is established in SolidWorks, and virtual prototype simulation is carried out in RecurDyn The experience of simulation for the MWP in RecurDyn is introduced, and the simulation steps and points for attention are described detailedly The working states of the mobile system in real environment have been simulated through virtual simulation experiments Four typical motion models including moving forward, moving laterally, moving laterally in the direction of 45°, and rotation have been simulated in RecurDyn The simulation results exactly reflect the motion of the MWP By comparing the simulation results with the theoretical results, there are acceptable errors that are relatively less overall in the simulation results The simulation results can be used to predict the performance of the platform and evaluate the design rationality, and design quality can be improved according to the exposed problem This paper can provide reference for the simulation of mobile platform by using RecurDyn

Carbon emission effect of urbanization at regional level: empirical evidence from China

Abstract: Historically, global urbanization has been an essential ingredient for national economic growth and beneficial social transformation. However, with the global urban population currently generating two-thirds of all carbon emissions, global policymakers are urging mayors and regional leaders to make difficult decisions to reduce the negative impacts of urbanization on the environment. The authors begin their examination of the implications of local and regional factors by applying the Dynamic Spatial Durbin Panel Data Model to empirically examine aspects of developing low-carbon strategies for the rapidly expanding size and number of the world's urban areas. The results indicate that the contribution of urbanization to carbon emissions can be positively affected when regional policy makers collaborate to focus on spillover effects to simultaneously manage the scope, diversity, and complexity of economic and environmental issues from the perspective of creating a balance between rapid urbanization and relevant regional factors. Regional leaders can make a difference by creating both short-term goals and long-term strategies for maintaining low-carbon urbanization, nurturing regional coordination, monitoring and managing eco-friendly regional spillover effects, supporting low-carbon technology innovations, and maintaining optimal city size.

MiR-3188 Inhibits Non-small Cell Lung Cancer Cell Proliferation Through FOXO1-Mediated mTOR-p-PI3K/AKT-c-JUN Signaling Pathway.

Abstract: This study investigated the role of miR-3188 on the proliferation of non-small cell lung cancer cells and its relationship to FOXO1-modulated feedback loop. Two non-small cell lung cancer (NSCLC) cell lines A549 and H1299 were used. RNA silencing was achieved by lentiviral transfection. Cell proliferation was assessed by immunohistochemical staining of Ki67 and PCNA, Edu incorporation, and colony formation assay. Western blotting was used to examine expression of FOXO1, mTOR, p-mTOR, CCND1, p21, c-JUN, AKT, pAKT, PI3K, p-PI3K, and p27 proteins. It was found that miR-3188 reduced cell proliferation in NSCLC cells. Molecular analyses indicated that the effect of mammalian target of rapamycin (mTOR) was directly mediated by miR-3188, leading to p-PI3K/p-AKT/c-JUN inactivation. The inhibition of this signaling pathway further caused cell-cycle suppression. Moreover, FOXO1 was found to be involved in regulating the interaction of miR-3188 and mTOR through p-PI3K/p-AKT/c-JUN signaling pathway. Taken together, our study demonstrated that miR-3188 interacts with mTOR and FOXO1 to inhibit NSCLC cell proliferation through a mTOR-p-PI3K/AKT-c-JUN signaling pathway. Therefore, miR-3188 might be a potential target for the treatment of NSCLC.

LAIPT: Lysine Acetylation Site Identification with Polynomial Tree.

Abstract: Post-translational modification plays a key role in the field of biology. Experimental identification methods are time-consuming and expensive. Therefore, computational methods to deal with such issues overcome these shortcomings and limitations. In this article, we propose a lysine acetylation site identification with polynomial tree method (LAIPT), making use of the polynomial style to demonstrate amino-acid residue relationships in peptide segments. This polynomial style was enriched by the physical and chemical properties of amino-acid residues. Then, these reconstructed features were input into the employed classification model, named the flexible neural tree. Finally, some effect evaluation measurements were employed to test the model's performance.