bluuebunny/crossref_metadata_2025 huggingface dataset:
Country-based rate of emissions reductions should increase by 80% beyond nationally determined contributions to meet the 2 °C target
Authors: Liu Peiran R. , Raftery Adrian E.
Published: February 2021

The 2015 Paris Agreement aims to keep global warming by 2100 to below 2 °C, with 1.5 °C as a target. To that end, countries agreed to reduce their emissions by nationally determined contributions (NDCs). Using a fully statistically based probabilistic framework, we find that the probabilities of meeting their nationally determined contributions for the largest emitters are low, e.g. 2% for the USA and 16% for China. On current trends, the probability of staying below 2 °C of warming is only 5%, but if all countries meet their nationally determined contributions and continue to reduce emissions at the same rate after 2030, it rises to 26%. If the USA alone does not meet its nationally determined contribution, it declines to 18%. To have an even chance of staying below 2 °C, the average rate of decline in emissions would need to increase from the 1% per year needed to meet the nationally determined contributions, to 1.8% per year.
Trafficking of JC virus-like particles across the blood–brain barrier
Authors: Ye Dong , Zimmermann Tina , Demina Victoria , Sotnikov Sergey , Ried Christian L. , Rahn Harri , Stapf Marcus , Untucht Christopher , Rohe Michael , Terstappen Georg C. , Wicke Karsten , Mezler Mario , Manninga Heiko , Meyer Axel H.
Published: February 2021

John Cunningham virus-like particles (JC VLPs) are able to cross the blood-brain barrier in vitro and in vivo.
Selective alkylation of parallel G-quadruplex structure
Authors: Onizuka Kazumitsu , Ganbold Erchissaran , Ma Yue , Sasaki Shogo , Hazemi Madoka E. , Chen Yutong , Sato Norihiro , Ozawa Mamiko , Nagasawa Kazuo , Nagatsugi Fumi
Published: February 2021

We achieve selective alkylation of parallel G-quadruplex DNA using a conjugate of a macrocyclic hexaoxazole and a sulfoxide precursor to a vinyl-quinazolinone.
Spatial and temporal diffusion-control of dynamic multi-domain self-assembled gels
Authors: Schlichter Lisa , Piras Carmen C. , Smith David K.
Published: February 2021

The assembly of a pH-sensitive LMWG within a pre-formed network of a second LMWG can be achieved by diffusing acids from pre-cut reservoirs, giving rise to patterned gels in which the rheological properties evolve with spatial and temporal control.
Degradation mechanisms of lithium sulfide (Li2S) composite cathode in carbonate electrolyte and improvement by increasing electrolyte concentration
Authors: Mokudai Hidehisa , Takeuchi Tomonari , Sakaebe Hikari , Kobayashi Hironori , Matsubara Eiichiro
Published: February 2021

Lithium polysulfides (Li2Sn) react with carbonate solvents, forming organic polysulfides (R–Sn–R) and sulfides (R–S–R); the concentrated electrolyte suppresses these reactions.
Metal oxide electrocatalyst support for carbon-free durable electrodes with excellent corrosion resistance at high potential conditions
Authors: Sugawara Yuuki , Hihara Takuya , Anilkumar Gopinathan M. , Kamata Keigo , Yamaguchi Takeo
Published: February 2021

Corrosion-resistive conductive titanium oxide exhibited remarkably higher durability than a carbon support during electrochemical catalytic reactions under high potential conditions.
Light regulation and long-lived stability of RGB colors in cholesteric liquid crystal physical gelsviaa mixing strategy
Authors: Jiang Qian , Zhao Dongxu , Wang Jing , Yan Hongchao , Cao Shuang , Qiu Yuan , Wang Hong , Liao Yonggui , Xie Xiaolin
Published: February 2021

A simple mixing strategy is used to construct thermoresponsive CLC physical gels, which can independently regulate the reflection colors of CLCs and the mechanical properties of gels due to the separation of photoresponsive chiral group from gelator.
Heterogeneous post-passivation of inorganic cesium lead halide perovskite quantum dots for efficient electroluminescent devices
Authors: Li Xuefei , Yang Liuqing , Yang Qingqing , Wang Shumeng , Ding Junqiao , Wang Lixiang
Published: February 2021

A FABr-based heterogeneous post-passivation process, in which the excess FABr can be easily removed by filtration, has been demonstrated for efficient blue, green and red perovskite quantum dot light-emitting diodes.
Graphene ink for 3D extrusion micro printing of chemo-resistive sensing devices for volatile organic compound detection
Authors: Hassan Kamrul , Tung Tran Thanh , Stanley Nathan , Yap Pei Lay , Farivar Farzaneh , Rastin Hadi , Nine Md Julker , Losic Dusan
Published: February 2021

Printed electronic sensors offer a breakthrough in the availability of low-cost devices for improving the quality of human life. Conductive ink is the core of printing technology and is one of the fastest growing ink industries.
A new asymmetric activation strategy for hydrazones as acyl anion equivalents in the bimetallic catalyzed carbonyl-ene reaction
Authors: Hu Wen-Bo , Song Xixi , Wang Min-Can
Published: February 2021

A new asymmetric activation strategy for hydrazones as acyl anion equivalents in the dinuclear zinc cooperative catalyzed carbonyl-ene reaction was developed.
An improved underwater TDOA/AOA joint localisation algorithm
Authors: Jiang Feng , Zhang Zhenkai
Published: February 2021

To solve the problem of sound source localisation in underwater sensor networks, this paper constructs a pseudo‐linear equation system of time difference of arrival and angle of arrival (TDOA/AOA) and then uses the weighted least squares algorithm to estimate the target position. This paper proposes a two‐stage weighted least squares algorithm that uses target position error. First, the adapted TDOA equation and the existing AOA equation are combined into the first‐stage weighted least squares algorithm, which improves the estimation accuracy of the first stage compared with the traditional algorithm. Second, this paper uses the target position error in the second stage to derive a new TDOA/AOA equation. Finally, the target position calculated in the previous stage is adjusted by the solved target position error. The performance of the proposed algorithm is verified by comparison with the Cramer–Rao lower bound. Simulation results show that the proposed algorithm still has good localisation performance even under high‐angle noise.
Non‐unit protection method for long transmission lines in MTDC grids
Authors: Mirhosseini Seyed Sattar , Jamali Sadegh , Popov Marjan
Published: February 2021

This paper presents a non‐unit protection method for long transmission lines of multi‐terminal HVDC (MTDC) grids based on the magnitude and direction of modal voltage and current travelling waves. The method overcomes the difficulty resulting from high attenuation and distortion as reported in previous methods using fault‐generated transients for protection of long HVDC lines. The proposed method determines the faulted pole using multi‐resolution morphological gradient of the pole voltage. Then, the multiplication of multi‐resolution morphological gradient of the modal travelling waves is utilised as a criterion to discriminate between internal and external faults and non‐fault events. The criterion is a negative high value for internal faults, a negative low value for forward external faults and events, and a positive value for backward external faults and events. A four‐terminal HVDC grid with modular multilevel converters including long HVDC lines is modelled using the PSCAD/EMTDC software. The simulation study validates effectiveness of the method for detection and discrimination of high resistance faults on long lines, as well as stability against external DC and AC faults, and DC circuit breaker opening and reclosing transients. The proposed method uses a relatively low sampling frequency and local data, i.e. no requirement for a communication link.
Unveiling the traits of massive young stellar objects through a multi-scale survey
Authors: Frost A. J. , Oudmaijer R. D. , de Wit W. J. , Lumsden S. L.
Published: February 2021

Context.The rarity and deeply embedded nature of young massive stars has limited the understanding of the formation of stars with masses larger than 8M⊙. Previous work has shown that complementing spectral energy distributions with interferometric and imaging data can probe the circumstellar environments of massive young stellar objects (MYSOs) well. However, complex studies of single objects often use different approaches in their analysis. Therefore the results of these studies cannot be directly compared.

Aims.This work aims to obtain the physical characteristics of a sample of MYSOs at ~0.01″ scales, at ~0.1″ scales, and as a whole, which enables us to compare the characteristics of the sources.

Methods.We apply the same multi-scale method and analysis to a sample of MYSOs. High-resolution interferometric data (MIDI/VLTI), near-diffraction-limited imaging data (VISIR/VLT, COMICS/Subaru), and a multi-wavelength spectral energy distribution are combined. By fitting simulated observables derived from 2.5D radiative transfer models of disk-outflow-envelope systems to our observations, the properties of the MYSOs are constrained.

Results.We find that the observables of all the MYSOs can be reproduced by models with disk-outflow-envelope geometries, analogous to the Class I geometry associated with low-mass protostars. The characteristics of the envelopes and the cavities within them are very similar across our sample. On the other hand, the disks seem to differ between the objects, in particular with regards to what we interpret as evidence of complex structures and inner holes.

Conclusions.The MYSOs of this sample have similar large-scale geometries, but variance is observed among their disk properties. This is comparable to the morphologies observed for low-mass young stellar objects. A strong correlation is found between the luminosity of the central MYSO and the size of the transition disk-like inner hole for the MYSOs, implying that photoevaporation or the presence of binary companions may be the cause.
Multichannel autocalibration for the Atmospheric Imaging Assembly using machine learning
Authors: Dos Santos Luiz F. G. , Bose Souvik , Salvatelli Valentina , Neuberg Brad , Cheung Mark C. M. , Janvier Miho , Jin Meng , Gal Yarin , Boerner Paul , Baydin Atılım Güneş
Published: February 2021

Context. Solar activity plays a quintessential role in affecting the interplanetary medium and space weather around Earth. Remote-sensing instruments on board heliophysics space missions provide a pool of information about solar activity by measuring the solar magnetic field and the emission of light from the multilayered, multithermal, and dynamic solar atmosphere. Extreme-UV (EUV) wavelength observations from space help in understanding the subtleties of the outer layers of the Sun, that is, the chromosphere and the corona. Unfortunately, instruments such as the Atmospheric Imaging Assembly (AIA) on board the NASA Solar Dynamics Observatory (SDO), suffer from time-dependent degradation that reduces their sensitivity. The current best calibration techniques rely on flights of sounding rockets to maintain absolute calibration. These flights are infrequent, complex, and limited to a single vantage point, however.

Aims. We aim to develop a novel method based on machine learning (ML) that exploits spatial patterns on the solar surface across multiwavelength observations to autocalibrate the instrument degradation.

Methods. We established two convolutional neural network (CNN) architectures that take either single-channel or multichannel input and trained the models using the SDOML dataset. The dataset was further augmented by randomly degrading images at each epoch, with the training dataset spanning nonoverlapping months with the test dataset. We also developed a non-ML baseline model to assess the gain of the CNN models. With the best trained models, we reconstructed the AIA multichannel degradation curves of 2010–2020 and compared them with the degradation curves based on sounding-rocket data.

Results. Our results indicate that the CNN-based models significantly outperform the non-ML baseline model in calibrating instrument degradation. Moreover, multichannel CNN outperforms the single-channel CNN, which suggests that cross-channel relations between different EUV channels are important to recover the degradation profiles. The CNN-based models reproduce the degradation corrections derived from the sounding-rocket cross-calibration measurements within the experimental measurement uncertainty, indicating that it performs equally well as current techniques.

Conclusions. Our approach establishes the framework for a novel technique based on CNNs to calibrate EUV instruments. We envision that this technique can be adapted to other imaging or spectral instruments operating at other wavelengths.
Regularity results for a class of obstacle problems with p, q−growth conditions
Authors: Caselli M. , Eleuteri M. , Passarelli di Napoli A.
Published: February 2021

In this paper we prove the the local Lipschitz continuity for solutions to a class of obstacle problems of the type

min{ ∫ΩF(x, Dz) : z ∈ 𝛫ψ(Ω)}.

Here 𝛫ψ(Ω) is the set of admissible functions z ∈ u0 + W1,p(Ω) for a given u0 ∈ W1,p(Ω) such that z ≥ ψ a.e. in Ω, ψ being the obstacle and Ω being an open bounded set of ℝn, n ≥ 2. The main novelty here is that we are assuming that the integrand F(x, Dz) satisfies (p, q)-growth conditions and as a function of the x-variable belongs to a suitable Sobolev class. We remark that the Lipschitz continuity result is obtained under a sharp closeness condition between the growth and the ellipticity exponents. Moreover, we impose less restrictive assumptions on the obstacle with respect to the previous regularity results. Furthermore, assuming the obstacle ψ is locally bounded, we prove the local boundedness of the solutions to a quite large class of variational inequalities whose principal part satisfies non standard growth conditions.
IGDT-based Robust Power Dispatch for Active Distribution Network Considering Demand Response
Authors: Zhuang Huihua , Zhuang Huimin
Published: February 2021

Considering increasing uncertain renewable energy sources (RES) and flexible loads in active distribution network (ADN), this study proposes a novel optimal model for robust hourly energy scheduling of ADN. Firstly, a deterministic optimal dispatching model is formulated, which aims at minimizing the total operation cost of distribution network; Secondly, the information gap decision theory (IGDT) is employed to handle uncertainties of RES generation. One of the features of the proposed model is to take into account the impact of demand response of flexible loads and energy storage system (ESS) as the effective tools to reduce unintended costs due to uncertainty of RESs. Also, the uncertainty of RESs is handled in a way that maximum tolerable uncertainty is achieved for a given worsening of total operation cost. The model is formulated as a mixed integer nonlinear optimization problem and solved in the genetic algorithm. Numerical simulation on the IEEE 33-bus system has been performed. Comparisons with two types of probabilistic techniques demonstrate the effectiveness and benefits of the proposal.
Electromechanical Coupling Approach for Traction Control System of Distributed Drive Electric Vehicles
Authors: Gao Xiang , Lin Cheng
Published: February 2021

This paper proposed an electromechanical coupling approach based on sliding mode control (SMC) for traction control systems (TCS) of distributed drive electric vehicles (DDEVs). Since all wheel torque can be controlled continuously and independently, the TCS could be precisely applied on DDEVs. However, normal TCS would cause the waste of motor torque and road adhesion on the special working conditions. To solve this problem, the SMC was utilized based on the optimal slip rate calculated by road adhesion condition recognition and the electromechanical coupling (EC) approach was proposed to deliver part of torque from the motor of the higher speed. Simulation results based on dSPACE simulator showed that the proposed strategy can improved the dynamic performance and passability of the DDEVs.
Analysis on passive residual heat removal system with heat pipes for longterm decay heat removal of small lead-based reactor
Authors: Hu Chongju , Huang Wangli , Jiang Zhizhong , Huang Qunying , Bai Yunqing , Cheng Xiaoyu , Yu Dali
Published: February 2021

.A lead-based reactor with employing heat pipes as passive residual heat removal system (PRHRS) for longterm decay heat removal was designed. Three-dimensional computational fluid dynamics (CFD) software FLUENT was adopted to simulate the thermal-hydraulic characteristics of the PRHRS under Station-Black-Out (SBO) accident condition. The results showed that heat in the core could be removed smoothly by the PRHRS, and the core temperature difference is less than 20 K.
Research on the application of target detection based on deep learning technology in power grid operation inspection
Authors: Weifu Peng , Shu Du , Shaolei Chen , Qing Zhou , Na Tang
Published: February 2021

-External damage to power facilities caused by crane, excavator and other construction operations increases year by year, which will seriously threaten the safe operation of power system. It is an important measure to ensure the safe and reliable operation of power system to implement intelligent monitoring and early warning of power external breakdown through video and other non-contact observation means. The video data of power mainly comes from the fixed monitoring of helicopters, uavs and transformation poles and towers, which is characterized by large amount of data, complex scenes and serious environmental interference. The traditional target detection method usually selects the candidate area first, and then makes judgment based on the characteristics of human construction. The detection speed is slow and the accuracy is low, which makes it impossible to monitor the video data in real time, so as to make timely and accurate early warning and intervention fbr external damage. The target detection method based on deep learning optimizes or even eliminates the selection of candidate regions, which greatly speeds up the detection speed. By learning a lot of target samples through the deep neural network, the characteristics of high robustness are gradually fitted to make the target judgment more accurate.

There are three key problems in introducing the target detection method based on deep learning into the power video detection: Firstly, the target detection method based on deep learning has a large amount of calculation and many parameters. In order to realize in-place operation on terminals with limited computing and storage capacity, it is necessary to find a practical method to simplify the network and reduce the amount of operational data in the detection process, which is the key to realize in-place operation and terminal operation of deep neural network. Secondly, for specific application scenarios, the effect of different target detection algorithms varies greatly, and there is a strong particularity of power video. Finding an effective target detection method is the key to improve the detection speed and accuracy. Finally, with the continuous development of deep learning, the structure of deep neural network changes with each passing day, and each has its own characteristics, which network structure is used as the feature extraction layer of target detection algorithm is the focus of research.
Research on Distributed Energy Transaction Technology Based on Blockchain
Authors: Liu Jiangyan , Cai Zhiyuan , Liu Dunnan , Jin Tianyi
Published: February 2021

The distributed power industry has the characteristics of multiple participants, long business processes, and wide distribution areas, which leads to serious data islands, difficulties in credit transmission, and outstanding transaction risks. Blockchain has technical characteristics such as openness, transparency, traceability, tamper resistance, and decentralization, making it an inevitable trend for its extensive and indepth application in the energy and power industry. The article first analyzes the generation and development of block technology, and then analyzes the current application status of block chain technology in distributed power transactions; then, based on the summary of existing research, it introduces in detail the blockchain-based technology The technical mechanism design of the distributed energy trading scheme analyzes the problems existing in the current application of blockchain in the field of distributed power trading, and proposes targeted development suggestions.
The development of a new type of winder
Authors: Lu Xie , Yangyang Liu
Published: February 2021

it is an important work for testing workers to recycle waste wire used in Oilfield testing. This paper introduces a new type of wire spinner developed by TRIZ Method. The machine is ingenious in conception, shortens the working time of workers and achieves certain economic benefits.
Research and analysis on the current quality of shower products
Authors: Liu Shanyu , Li Kejing , Wang Kaifang , Wang Chen
Published: February 2021

Shower head, also known as shower head, is a device that allows water to diverge and flow out in the form of droplets or sprays. It was originally a device for watering flowers, potted plants and other plants. Later, someone modified it to be used as a shower, making it a common device in the bathroom, called a shower head, mainly used for showering in households or public places. In terms of structure, the shower is generally composed of a body, a switching component, a water distribution component, a rotor, a water outlet, a face cover, a water outlet component, a water-saving device, a plug, a button, and so on. This article mainly analyzes the industrial distribution of shower heads, product quality spot checks and the causes of quality problems.
Study on the Influence of Tourists’ Value on Sustainable Development of Huizhou Traditional Villages-- A Case of Hongcun and Xidi
Authors: Wei Qi , Mimi Li , Honggen Xiao , Jinhe Zhang
Published: February 2021

The tourists’ value of traditional village representing personal values, influences the tourists’ behavior deeply. This paper, with the soft ladder method of MEC theory from the perspective of the tourist, studies the value of tourists born in the 60s, 70s, 80s, and 90s of the traditional villages in Hongcun and Xidi, which indicates 39 MEC value chains, and reveals 11 important attributes of Huizhou traditional villages, 16 tourism results, and 9 types of tourists’ values. With constructing a sustainable development model of Huizhou traditional villages based on tourists’ value, it shows an inherent interaction between tourists’ value and traditional village attributes subdividing the tourism products and marketing channels of Huizhou traditional villages, which is of great significance to the sustainable development of traditional villages in Huizhou.
Study on the behavior and overall planning of domestic hot water in Chifeng University
Authors: Shuai Ying , Zhang Yaxin , Li Xiaowei , Wang Qian , Yang Yuchen , Li Qiang , Han Zixuan , Zhang Kunpeng
Published: February 2021

Based on the statistics of the current situation of hot water in students’ dormitories of Chifeng University, this paper summarizes the characteristics of male and female students’ use of domestic hot water, obtains the relevant laws of university students’ hot water use behavior characteristics, and puts forward the selection and layout of water heaters according to the water use rules, so as to solve the bottleneck problem of hot water use in our school.
Study on the Adsorption of Methylene Blue from Dye Wastewater by Humulus Japonicus Leaves
Authors: Huang Zheng-gen , Wang Tao , Yi He-ying , Li Xiao-bin
Published: February 2021

This paper took the objective of preparing high-performance, low-cost biological adsorbent for printing and dyeing wastewater, and the adsorption experiment of dyestuff wastewater with high chromaticity and high biodegradability was studied. The Methylene Blue was adsorbed by the prepared Humulus Japonicus Leaves (HJ), the effects of adsorption time, pH, dosage of adsorbent, initial Methylene Blue concentration and temperature on the adsorption process were investigated, and the adsorption mechanism was described by adsorption isotherm, adsorption thermodynamics and adsorption kinetics, and the results showed that: when HJ was added 0.15g and ph was 7, the temperature was 30°C (303K), adsorption was carried out for 20min, simulated dye wastewater, adsorption efficiency of Methylene Blue of 100mg/l were excellent, adsorption rate reached up to 92%, the equilibrium adsorption rate was positively correlated with the initial concentration of CV dye. Humulus leaves adsorption CV Gibbs free energy of ΔG<0, ΔH>0, ΔS>0 showed spontaneous adsorption process, the adsorption process Methylene Blu was more suitable for the Freundlich isothermal adsorption equation, the adsorption kinetics accorded with the quasi two level kinetic model, the adsorption of the Methylene Blue dye molecule by the HJ was chemically adsorbed as the rate control step, the Methylene Blue molecule was mainly adsorbed on the surface of the Humulus leaves; the model of internal diffusion kinetics showed that there was membrane diffusion and internal diffusion of the HJ in the process of Methylene Blue adsorption. The experimental results showed that HJ as adsorbent can effectively remove Methylene Blue from dye wastewater, and the research results provide a new method and idea for biological treatment of dye wastewater.
Research on the Mixed Teaching Mode of College English in the “Internet” Education Environment
Authors: Li Yunhui
Published: February 2021

China has entered the 21st century, the Internet has entered an era of rapid development, especially in recent years, with the emergence of five G, China’s Internet development has entered a new journey, with the rapid development of the Internet, China’s various industries can not do without the Internet, whether real estate, financial industry or even education industry. In recent years, under the influence of the newly created “Internet” education model, the English teaching methods of major colleges and universities have also undergone great reform. A new teaching mode, which combines the means of past education and teaching with modern information network, makes teaching no longer restricted by time and space. This kind of teaching mode can not only improve students’ interest in learning, meet the needs of modern students, but also improve the quality of English teaching in colleges and universities. This paper further discusses the mixed teaching mode of college English under the environment of Internet education.
Does Eco-innovation Improve Green Total Factor Productivity of China’s Industry?
Authors: Zhang Luan , Wang Miao , Wang Weidong
Published: February 2021

The improvement of industrial green TFP is crucial for the sustainability of economy and environment. And the eco-innovation directly improves the industrial green TFP. However, there are few studies on the relation between eco-innovation and industrial green TFP. Based on the relevant data from 2006-2015 of 30 provinces in China, using SBM model this study firstly evaluates the industrial green TFP of each province by measuring the desirable output and undesirable output. Then the eco-innovation is measured by patent application quantity and further divided into breakthrough and incremental innovation by patent quality. The results show that eco-innovation improves the development of green industry in China. The promotion from breakthrough innovation is prominent. However, the incremental innovation restrains the development of green industry in China.
Analysis on the significance of optimizing the measurement standard management system in power industry
Authors: Liu Yudan , Li Dan , Zhang Yidan , Cheng Wenyu , Wang Ke
Published: February 2021

Measurement standard management is an important link to ensure the unity of national measurement unit system and the consistency and accuracy of value transfer. The establishment of measurement standard management system aims to provide technical support for traceability of social measurement. On the basis of ensuring the unity of national measurement unit system and the accuracy and reliability of measurement value, it undertakes the task of legal measurement. Its management level, technical ability and service quality not only directly determine the correctness of the measurement results, but also have a crucial impact on the social activities related to the measurement results. Based on the analysis of the current situation of measurement standard management in power industry, this paper expounds the significance of continuous optimization of measurement standard management system and the results achieved.
Eco-Design of the Urban Corridor in View of the Landscape Ecological Theory
Authors: Kaili Hao , Yan Liang
Published: February 2021

Benefiting from the rapid development of global economy, a growing number of post-industry products spring up. In comparison to the population in the suburb, the urban population presents a significantly increasing tendency. Undoubtedly, the efficient lifestyle, the convenient way of traveling and the industrial products have caused irresistible threat and damage to the nature. The soil desertification, saline-alkali land, forest degradation and else environmental issues occur as an obvious warning from the nature to us. Therefore, it is an imminent research subject at the moment to seek for symbiotic and harmonious relationship between the human and the nature. The urban landscape is a type of highly artificial design. In it, the urban corridor develops to steer the development of the overall urban landscape pattern. In the process of urban corridor design, the landscape ecological theory is essential in practical application. Spirited by ecological design, the natural ecology landscape is added on the basis of artificial restoration. This paper profoundly studied the sustainable development of the urban landscape setup, thus providing healthier and livelier design on the green ecological corridor for the urban dwellers.
Research on Identification and Measurement Methods of Influencing Factors of Investment in Operation and Maintenance
Authors: Lin Ma , Ruigang Tong , Yan Ren , Lei Zhao , Xizhen Sun
Published: February 2021

Operation and maintenance investment is an important part of the capital expenditure of power grid enterprises. In recent years, affected by multiple profit-cutting factors such as the macroeconomic downturn, the slowdown in electricity growth, the implementation of transmission and distribution price reform requirements, the narrowing of electricity price space, and the state's phased reduction of electricity cost policies, the profitability of power grid companies has dropped significantly, and power grid investment. The capacity was significantly weakened, and the operating pressure was unprecedented. Identifying and measuring the influencing factors of power grid operation and maintenance investment is an important supporting role for enterprises to formulate scientific and reasonable investment strategies for power grid equipment operation and maintenance. Therefore, this paper first applies the fish-bone method, combined with the current status of equipment operation and maintenance management of power grid enterprises, and scientifically identifies the factors that affect the investment level of operation and maintenance; then, based on the grey correlation theory, analyzes the degree of influence of each influencing factor.
A research on the efficiency of regional green innovation in China—Based on DEA-SBM model and Malmquist index method
Authors: Yang Li , Zhiwei You , Jiaqi Wang , Fei Lan
Published: February 2021

This paper selects panel data of 29 provinces in mainland China from 2010-2017 and combines a DEA-SBM model that takes into account non-desired outputs and the Malmquis index method to study the static and dynamic changes of regional green innovation efficiency. It is found that the overall level of green innovation efficiency in China is low, but the overall trend is on the rise and there is more room for improvement. The differences in green innovation efficiency values among the three regions of East, West and Central Asia are obvious, with the eastern region developing at a higher level than the central and western regions, and the gap is gradually narrowing. Technological progress is a key factor affecting total factor productivity.
Feasibility Study of tabata Training in the Reform of Physical Education Teaching in Colleges and Universities
Authors: Xiao Yongjun
Published: February 2021

The arrival of Internet technology makes people communicate with the outside world more frequently and conveniently, but it is also because of the high efficiency and convenience of Internet technology that people chat, party, shopping and other activities on the line become more and more frequent. On the contrary, people offline exercise, travel, face-to-face communication and other activities are less and less. In recent years, college students in our country have shown the phenomena of lack of physical ability, decrease of exercise quantity and decrease of physical quality, so it is urgent to reform physical education teaching in colleges and universities. Based on the analysis of the predicament of physical education teaching in colleges and universities, this paper introduces the tabata training method in physical education teaching with high intensity intermittent training method as the focus, so as to realize the reform and development of college education and teaching. It will further improve the physical quality and health of college students.
Parameters adaptive backstepping control of PMSM using DTC method
Authors: Zheng Xiaoming , Xue Lei , Wang Peng , Li Jia , Shen Zeyuan
Published: February 2021

The torque and flux ripple of traditional DTC control of PMSM is large, and due to the lack of adaptive control system, the change of the system parameters has a great impact on the steady and transient control performance of the motor speed. Based on the traditional DTC control algorithm, a parameter identification adaptive backstepping DTC control algorithm is proposed in this paper. Because the backstepping controller is used to replace PI controller and flux hysteresis controller, the steady-state and transient performance of the system is obviously improved. At the same time, a parameter identification adaptive controller is designed, which can effectively suppress the influence of parameter changes on the speed control performance. The simulation results verify the correctness and effectiveness of the control algorithm. The control algorithm can significantly improve the steady-state and transient performance of the system under the condition of parameter mutation.
A Study on the Innovative Design Method of Rural Microlandscape —— Taking Edible Fungi as an Example
Authors: Luo Bin-jie
Published: February 2021

Innovation is not only the motive force of scientific and technological development, but also an important strategy to advance steadily in the process of beautiful rural construction and rural revitalization and development, and also the core driving force of rural landscape development. Based on this, taking the edible fungi of rural plants as an example, this paper expounds the edible fungi which play an important role in the process of rural development, analyzes the formation, characteristics and functions of the microlandscape of edible fungi, and draws lessons from the traditional Chinese landscape techniques, from the four dimensions of main scene and matching scene, real scene and virtual scene, penetrating and leaking scene, screen view and borrowing scene, to discusses the innovative design method of rural micro-landscape, and provide innovative design ideas for rural landscape development.
Application Value of Dynamic Graphic in Protection of Social Folklore Tradition-Taking Buyi Wedding Series Dynamic Graphics Design as an Example
Authors: Zhang Honghai , Huo Yongxin
Published: February 2021

With the development of network technology and the change of people’s life style, many social folklore traditions in China are gradually forgotten by people. For this reason, protection of social folklore tradition has received much attention in recent years. Based on the analysis of the cultural origin and characteristics of social folklore tradition, this paper proposes to apply the design and expression methods of dynamic graphic to the protection and dissemination of social folklore tradition in order to show them in a more interesting way. Additionally, taking Buyi wedding series dynamic graphic design as an example aims to better explicate the whole design process. This research is conducive to the establishment of social folklore tradition and new media connection, and close to its integration into people's modern life. It can be predicted that the new media based on network technology will become one of the important and efficient means to protect the social folklore tradition.
Application of Innovative Design Thinking in Product Design* Intelligent Waste Paper Recycling Machine Design Case
Authors: Han Jun , Gu LuYao , Chen DeRun
Published: February 2021

With the rapid development of society and economy, the level of technology and culture in our country is constantly improving, and the content of product design extends from the product appearance design to the design of a whole system of product function, structure, material, production crafts, marketing, maintenance and recycling. The product innovation design thinking should not only consider a single factor, but also integrate the latest achievements in all aspects of the product design ecosystem. The research on innovative thinking and innovative design methods from all walks of life is also constantly systematized and theorized, but the innovative design thinking of products has different thinking characteristics and methods from other fields. This article combines product design examples of intelligent waste paper recycling machines to explore the application of innovative thinking methods in product design.
Spatial Color Analysis of Kindergarten Interior Design Based on Children's Psychological Activities in Digital Environment
Authors: Xiaoxian Shan , Meicheng Wan
Published: February 2021

In the digital environment, the kindergarten interior design should also be adjusted, and more attention should be paid to the spatial color matching. The progress of science and technology makes the comfort of children's living environment also increase. Designers should be aware of the importance of spatial color to children's physical and mental growth when designing the kindergarten interior. Therefore, this paper first analyzes the present situation of kindergarten interior color design in China under the digital environment from the perspective of children's color psychology, then puts forward the basic ideas of kindergarten interior color design according to space color psychology, and finally discusses the design methods of kindergarten interior color according to children's psychological activities, hoping to provide good living, entertainment and learning space for children's healthy development.
Construction of Computer Training Course System for Higher Vocational Marketing Specialty under the Background of Internet
Authors: Duan Xiaoyun , Li Xingyu , Zhao Song
Published: February 2021

Under the background of "Internet ", e-commerce and network marketing have developed rapidly, and the students of marketing major in various industries also have higher requirements, so colleges and universities need to pay attention to the cultivation of marketing students. Because computer plays a great role in marketing, the marketing specialty in higher vocational colleges needs to be brought into the computer training course system to realize the construction of the computer course training system of higher vocational marketing specialty. This paper gives a brief overview of marketing major, analyzes the needs of computer knowledge and curriculum in higher vocational marketing major, and studies the construction path of computer training course system in higher vocational marketing major. Finally, the problems existing in the construction of computer training courses in higher vocational marketing specialty and their solutions are analyzed.
A Study on Design Strategies of Vernacular Architecture Based on Data Analysis of Community’s Architectural Preference
Authors: Xi Pan , Xiao Xiao , Jingxuan Suo
Published: February 2021

With the putting forward of cultural power and rural revitalization as China’s national strategies, rural construction under the conservation of traditional culture has become an important issue. In the design of contemporary vernacular architecture, more and more architects have realized the principle position of local community, and understanding its architectural preference has been an important task. Using both qualitative and quantitative research methods such as digital modeling, questionnaire and data mining, this paper takes a Naxi ethnic community as an example and investigates the community's architectural preference, analyzes and interprets its characteristics , and then puts forward corresponding strategies for the design of contemporary vernacular architecture in this area.
Research on the Application of Sustainable Design in 3D Animated Characters——A Case study of budding bear
Authors: Cui Yang
Published: February 2021

This topic with the examples of budding bear series guided by the sustainable design, in the three dimensional animation role in comprehensive analysis comparison, induction and summary, hope through sustainable design to promote the role of the three dimensional animation application and development, under the three dimensional animation role in sustainable design of artistic expression and innovation concept, for the application of sustainable design in the three dimensional animation role study provide theoretical basis. This article first budding bear series 3 d animation, for example, analysis of sustainable design in the application of the three dimensional animation role, introduce bud bear series animation content, sustainable design were discussed from the six aspects of artistic expression in the three dimensional animation artistic expression, study plants, animals, machinery and other types of 3 d animation role type design; Finally, it summarizes the advantages and limitations of sustainable design in the application of 3D animated characters, lists the research cases of sustainable design in the application and innovation of 3D animated characters, and makes a comparative analysis with the series of works of Budding Bear.
Synthesis and characterization of thiol-polystyrene microsphere and its adsorption properties of thallium
Authors: Xu Youze , Chen Yuehui , Zhao Yuanyuan , Zhou Shuang , Fu Guangyi , Zhong Yu
Published: February 2021

Thallium (Tl) is highly toxic in the environment. In order to solve the harm of Tl pollution to the environment, thiol-polystyrene microsphere (TPM) with good adsorption properties for Tl were prepared in this paper. The GAUSSIAN software was used to calculate the adsorption performance of the TPM on Tl+, and the adsorption mechanism was discussed. The thermogravimetric analysis show that the TPM prepared with chloromethyl polystyrene microspheres (CPM) and thiourea as the main raw materials has good chemical thermal stability. In the Tl+ solution of 1mg/L, the adsorption and removal rate of the TPMs in was 99%, with a significant adsorption of Tl+ properties. When the dosage of TPM is 0.4L/g, pH is 6-10, temperature is 5-20 °C, and adsorption time reaches 640min, thallium-containing water with Tl+ concentration of 5mg/L can be treated to within the national discharge standard (5μg/L). The analytical effect of 0.5mol/L dilute sulfuric acid on TPM can reach 99.96%, and the adsorption capacity of TPM on Tl+ is reduced by only 0.1% after repeated use 4 times, which has good regeneration performance. The modified polystyrene microspheres were characterized by EDS, FT-IR, Raman spectra and XPS, and it was proved that the TPM were ligated with Tl+ through the grafted mercapto group, so as to adsorb and remove Tl+ from the solution. According to the isotherm and kinetic model of TPM adsorption Tl+, the maximum saturated adsorption amount of TPM to Tl+ can reach 3.47mg/g, mainly chemical adsorption, and the membrane diffusion stage is the main control step of TPM adsorption Tl+. The results showed that the TPM could be a promising adsorbent with good adsorption capacity and reusability for Tl+ removal from wastewater
Methodology study on voluntary emission reduction of greenhouse gases in port off road mobile machinery hybrid power transformation project
Authors: xu Guo
Published: February 2021

The greenhouse gas emissions of ports mainly come from the combustion of fossil fuels produced in the loading and unloading production. With the continuous advancement of port equipment electrification, non road mobile machinery has gradually become the main source of fossil fuel emissions. On the basis of the existing voluntary emission reduction methodology, this paper puts forward the greenhouse gas voluntary emission reduction methodology of port non road mobile machinery hybrid power transformation project, and verifies the correctness of the methodology through examples. In the future, it can be used as the accounting method of trading volume in voluntary carbon emission trading, and effectively promote the energy conservation and emission reduction of port industry and green port construction.
Review of research on high-temperature behavior of geopolymer paste
Authors: Yang Hang , Zhu Mei-Chun , Fang Cong-Qi
Published: February 2021

Geopolymer composites have been widely researched during recent years as an alternative to sustainable construction materials, which can minimize CO2 emission for its application of industry by-products. Past researches on geopolymer show that it has comparable strength and better high temperature stability compared to ordinary Portland cement. In this paper, the high-temperature behavior of geopolymer paste has been discussed through the last data regarding geopolymer, mainly including its bonding performance with steel, stress-strain characteristics, structural analysis of different observation scales and the performance of special geopolymer paste. In summary, some problems that need to be studied in future researches are put forward.
Research on Sustainable Development and green and low-carbon clothing design
Authors: Fanglin Dong
Published: February 2021

With the rapid development of the world economy, science and technology, more and more people are realizing that the serious situation caused by the environmental crisis affects people’s lives. In the new era, people’s awareness of green and low-carbon has been continuously raised, especially the daily use of clothing as a way of life and the flooding of new and old clothes, green and low-carbon concept of clothing design has become the trend of sustainable development in the future, around the sustainable development, green and low-carbon concept of clothing design and integration for the clothing industry to do a stable innovative development direction.
Increase the rate of plasma-assisted synthesis of silver nanoparticles through additives
Authors: Zhai Limin , Lu Ye , Chen Dong , Chen Xinyi , Liu Linsheng , Li Chuanqi
Published: February 2021

The plasma-assisted method was used to synthesize silver nanoparticles, and the growth process of silver nanoparticles (Ag-NPs) was monitored in real time by localized surface plasmon resonance (LSPR) absorption spectroscopy. The effect of additives on the synthesis of Ag-NPs was verified. It is found that the addition of isopropanol and glucose can increase the plasmon resonance absorption intensity of the reaction solution, and promote the synthesis of Ag-NPs. In the plasma-assisted method, the additives can effectively improve the synthesis efficiency of Ag-NPs, which has great inspiration for the synthesis of other metal nanoparticles.