bluuebunny/crossref_metadata_2025 huggingface dataset:
Probiotic-fermented black tartary buckwheat alleviates hyperlipidemia and gut microbiota dysbiosis in rats fed with a high-fat diet
Authors: Ren Yunhong , Wu Shanshan , Xia Yu , Huang Jianzhao , Ye Junfeng , Xuan Zineng , Li Pan , Du Bing
Published: May 2021

Natural plants fermented with probiotics exert beneficial effects on hyperlipidemia and gut microbiota disorders.
Plant origin prebiotics affect duodenal brush border membrane functionality and morphology,in vivo(Gallus Gallus)
Authors: da Silva Bárbara Pereira , Martino Hércia Stampini Duarte , Tako Elad
Published: May 2021

The intra-amniotic administration approach has been used to evaluate the effects of plant origin prebiotics on intestinal health and on brush border membrane functionality and morphology.
Biosynthesis of non-animal chondroitin sulfate from methanol using genetically engineered Pichia pastoris
Authors: Jin Xuerong , Zhang Weijiao , Wang Yang , Sheng Jingyu , Xu Ruirui , Li Jianghua , Du Guocheng , Kang Zhen
Published: May 2021

Establishment of a sustainable non-animal biosynthesis of chondroitin sulfate from methanol using genetically engineered Pichia pastoris.
Assessment of the mineral ilmenite for U–Pb dating by LA-ICP-MS
Authors: Thompson Jay M. , Goemann Karsten , Belousov Ivan , Jenkins Kate , Kobussen Alan , Powell Will , Danyushevsky Leonid
Published: May 2021

The mineral ilmenite is analysed by LA-ICP-MS for elemental and U–Pb isotopic compositions. A methodology is presented for accurate results using the mineral rutile for U–Pb ages and basaltic reference materials for major and trace elements.
On-chip perivascularnichesupporting stemness of patient-derived glioma cells in a serum-free, flowable culture
Authors: Gerigk Magda , Bulstrode Harry , Shi HaoTian Harvey , Tönisen Felix , Cerutti Camilla , Morrison Gillian , Rowitch David , Huang Yan Yan Shery
Published: May 2021

Glioblastoma multiforme is the most common and aggressive type of primary brain malignancy. Herein, a perivascularniche-on-a-chip is developed to study the interaction between patient-derived glioma stem cells and organotypical microvessels.
Graphene-based frustrated Lewis pairs as bifunctional catalysts for CO2 reduction via the dissociative chemisorption of molecular H2: a periodic density functional perspective
Authors: Senthamaraikannan Thillai Govindaraja , Krishnamurty Sailaja , Kaliaperumal Selvaraj
Published: May 2021

Nanocarbon-based frustrated Lewis pair (FLP) bifunctional catalysts, on account of their unquenched electron transfer property, are becoming increasingly attractive as catalysts for the CO2 reduction reaction via the dissociative chemisorption of H2.
Protic ionic liquids tailored by different cationic structures for efficient chemical fixation of diluted and waste CO2 into cyclic carbonates
Authors: Hui Wei , Wang Xiang , Li Xiao-Ning , Wang Hai-Jun , He Xue-Mei , Xu Xin-Yi
Published: May 2021

Environment-friendly approaches to directly convert atmospheric or flue gas CO2 to high-value chemicals is of great significance yet challenging.
Immobilized Zn(OAc)2 on bipyridine-based periodic mesoporous organosilica for N-formylation of amines with CO2 and hydrosilanes
Authors: Lin Xiao-Tao , Matsumoto Kazuhiro , Maegawa Yoshifumi , Takeuchi Katsuhiko , Fukaya Norihisa , Sato Kazuhiko , Inagaki Shinji , Choi Jun-Chul
Published: May 2021

Zn(OAc)2 immobilized on bipyridine-based periodic mesoporous organosilica is a good catalyst for N-formylation of amines with CO2 and PhSiH3.
Efficient charge transfer on the tunable morphology of TiO2/MoS2 photocatalyst for an enhanced hydrogen production
Authors: Gautam Amit , Prabhu Yendrapati Taraka , Pal Ujjwal
Published: May 2021

In this study, carefully controlled 2D MoS2/TiO2 heterostructure serves as an excellent photocatalytic agent for the solar energy conversion to chemical fuels.
Structures and relative stability of hydrated ferrous ion clusters and temperature effects
Authors: Boukar Ousman , Fifen Jean Jules , Nsangou Mama , Ghalila Hassen , Conradie Jeanet
Published: May 2021

Structures of solvated ferrous ion clusters have been investigated in the singlet and quintet spin states of the ferrous ion. Relative stabilities of isomers are also discussed at different temperatures.
Overcoming the asymmetry of the electron and hole doping for magnetic transitions in bilayer CrI3
Authors: Ghosh Sukanya , Stojić Nataša , Binggeli Nadia
Published: May 2021

We propose an approach for electrical control of magnetism in bilayer CrI3 and predict the existence of AFM–FM transition with both hole and electron doping upon moderate uniaxial compressive strain along the soft direction of this system.
Photocatalyzed Csp3–Csp3 cross-dehydrogenative coupling of N-Boc-tetrahydroisoquinolines with α,β-unsaturated ketones
Authors: Ao Na-Ri-Mei , Zhu Xue-Qing , Zhao Chun-Xin , Gao Ya-Ru , Wang Yong-Qiang
Published: May 2021

A photocatalyzed direct cross-dehydrogenative coupling reaction of α′-C(sp3)–H on α,β-enones with N-Boc-tetrahydroisoquinolines has been developed.
Rapid assembly of α-ketoamides through a decarboxylative strategy of isocyanates with α-oxocarboxylic acids under mild conditions
Authors: Huang Junjie , Liang Baihui , Chen Xiuwen , Liu Yifu , Li Yawen , Liang Jingwen , Zhu Weidong , Tang Xiaodong , Li Yibiao , Zhu Zhongzhi
Published: May 2021

A simple and practical method for α-ketoamide synthesis via a decarboxylative strategy of isocyanates with α-oxocarboxylic acids at room temperature under metal- and solvent-free conditions is described.
RAFT polymerisation of renewable terpene (meth)acrylates and the convergent synthesis of methacrylate–acrylate–methacrylate triblock copolymers
Authors: Atkinson Rachel L. , Monaghan Olivia R. , Elsmore Matthew T. , Topham Paul D. , Toolan Daniel T. W. , Derry Matthew J. , Taresco Vincenzo , Stockman Robert A. , De Focatiis Davide S. A. , Irvine Derek J. , Howdle Steven M.
Published: May 2021

We now report the synthesis of well-defined terpene-based polymers and precise di- and multiblock copolymer architectures by use of RAFT, wide range of Tg and promising adhesive properties are observed.
A new anthraquinone derivative as a near UV and visible light photoinitiator for free-radical, thiol–ene and cationic polymerizations
Authors: Zhu Yi , Pi Junyi , Zhang Yuchao , Xu Dandan , Yagci Yusuf , Liu Ren
Published: May 2021

We report a new photoinitiator Q4 which has excellent initiated properties, and can initiate diverse photopolymerization modes. This novel photoinitiator may find use in many specific curing applications due to its unique performance.
IQF characterization of a cathepsin B-responsive nanoprobe for report of differentiation of HL60 cells into macrophages
Authors: Zhang Yanhui , Huang Dehua , Zhang Chengxing , Meng Jingjing , Tan Bo , Deng Zongwu
Published: May 2021

A Cat B-responsive Abz-FRFK-Dnp@PLGA nanoprobe for an optical report of the differentiation of HL60 cells into macrophages.
A comprehensive and critical review of the recent progress in electrocatalysts for the ethanol oxidation reaction
Authors: Yaqoob Lubna , Noor Tayyaba , Iqbal Naseem
Published: May 2021

This review gives a broad vision of the current progress of transition metals and noble metal based electrocatalysts for ethanol oxidation reaction.
Tunable photoluminescence and SERS behaviour of additively manufactured Au nanoparticle patterns
Authors: Aghajani Saleh , Accardo Angelo , Tichem Marcel
Published: May 2021

The proposed aerosol direct writing method and the microstructure of the printed patterns with its evolution through low-temperature sintering and change in the corresponding photoluminescence response.
Application of reactor engineering concepts in continuous flow chemistry: a review
Authors: Neyt Nicole C. , Riley Darren L.
Published: May 2021

The adoption of flow technology for the manufacture of chemical entities, and in particular pharmaceuticals, has seen rapid growth over the past two decades with the technology now blurring the lines between chemistry and chemical engineering.
A review on machine learning algorithms for the ionic liquid chemical space
Authors: Koutsoukos Spyridon , Philippi Frederik , Malaret Francisco , Welton Tom
Published: May 2021

In this review article, the authors discuss the use of machine learning algorithms as tools for the prediction of physical and chemical properties of ionic liquids.
A minimal hybridization chain reaction (HCR) system using peptide nucleic acids
Authors: Kim Ki Tae , Angerani Simona , Winssinger Nicolas
Published: May 2021

A minimal peptide nucleic acid (PNA) HCR system based on a 5-mer stem and 5-mer loop/toehold hairpins was developed. The system was applied to the detection of a cancer biomarker on the surface of living cells.
The origin of unidirectional charge separation in photosynthetic reaction centers: nonadiabatic quantum dynamics of exciton and charge in pigment–protein complexes
Authors: Tamura Hiroyuki , Saito Keisuke , Ishikita Hiroshi
Published: May 2021

Essential factors leading to unidirectional charge separation in photosynthetic reaction centers are clarified via nonadiabatic quantum dynamics calculations.
Reactivity of cyano- and isothiocyanatoborylenes: metal coordination, one-electron oxidation and boron-centred Brønsted basicity
Authors: Hagspiel Stephan , Elezi Dren , Arrowsmith Merle , Fantuzzi Felipe , Vargas Alfredo , Rempel Anna , Härterich Marcel , Krummenacher Ivo , Braunschweig Holger
Published: May 2021

Borylenes of the form (CAAC)(NHC)BY (Y = CN, NCS; CAAC = cyclic alkyl(amino)carbene; NHC = N-heterocyclic carbene) coordinate to group 6 carbonyl complexesviaY, and show reversible boron-centered Brønsted basicity and one-electron oxidation.
The influence of spacer composition on thermomechanical properties, crystallinity, and morphology in ionene segmented copolymers
Authors: Liesen Nicholas T. , Wang Meng , Taghavimehr Mehrnoosh , Lee Jae Sang , Montazami Reza , Hall Lisa M. , Green Matthew D.
Published: May 2021

A series of segmented ammonium ionenes with varying weight fractions of 2000 g mol−1 poly(ethylene glycol) or poly(tetramethylene oxide) soft segments were synthesized and analogous systems were modeled using coarse-grained simulations.
Chromone@cucurbit[7]uril triggers the luminescence of lanthanides in water
Authors: Zeng Zhishu , Zhang Xiaodong , Luo Guangyan , Meng Ye , Zhang Lin , Zhao Weiwei , Tao Zhu , Zhang Qianjun
Published: May 2021

Chromone@cucurbit[7]uril formed complexes with Eu3+, Tb3+, Dy3+, and Sm3+, respectively. These four complexes not only triggers luminescence of lanthanides, but also produces specific fluorescence responses to antibiotics in aqueous solution.
Evaluation of spice and herb as phyto-derived selective modulators of human retinaldehyde dehydrogenases using a simple in vitro method
Authors: Bui Thi Bao Chau , Nosaki Shohei , Kokawa Mito , Xu Yuqun , Kitamura Yutaka , Tanokura Masaru , Hachimura Satoshi , Miyakawa Takuya
Published: May 2021

Selective modulation of retinaldehyde dehydrogenases (RALDHs)—the main aldehyde dehydrogenase (ALDH) enzymes converting retinal into retinoic acid (RA), is very important not only in the RA signaling pathway but also for the potential regulatory effects on RALDH isozyme-specific processes and RALDH-related cancers. However, very few selective modulators for RALDHs have been identified, partly due to variable overexpression protocols of RALDHs and insensitive activity assay that needs to be addressed. In the present study, deletion of the N-terminal disordered regions is found to enable simple preparation of all RALDHs and their closest paralog ALDH2 using a single protocol. Fluorescence-based activity assay was employed for enzymatic activity investigation and screening for RALDH-specific modulators from extracts of various spices and herbs that are well-known for containing many phyto-derived anti-cancer constituents. Under the established conditions, spice and herb extracts exhibited differential regulatory effects on RALDHs/ALDH2 with several extracts showing potential selective inhibition of the activity of RALDHs. In addition, the presence of magnesium ions was shown to significantly increase the activity for the natural substrate retinal of RALDH3 but not the others, while His-tag cleavage considerably increased the activity of ALDH2 for the non-specific substrate retinal. Altogether we propose a readily reproducible workflow to find selective modulators for RALDHs and suggest potential sources of selective modulators from spices and herbs.
Constraining the overcontact phase in massive binary evolution
Authors: Abdul-Masih Michael , Sana Hugues , Hawcroft Calum , Almeida Leonardo A. , Brands Sarah A. , de Mink Selma E. , Justham Stephen , Langer Norbert , Mahy Laurent , Marchant Pablo , Menon Athira , Puls Joachim , Sundqvist Jon
Published: May 2021

Context. As potential progenitors of several exotic phenomena including gravitational wave sources, magnetic stars, and Be stars, close massive binary systems probe a crucial area of the parameter space in massive star evolution. Despite the importance of these systems, large uncertainties regarding the nature and efficiency of the internal mixing mechanisms still exist.

Aims. We aim to provide robust observational constraints on the internal mixing processes by spectroscopically analyzing a sample of three massive overcontact binaries at different metallicities.

Methods. Using optical phase-resolved spectroscopic data, we performed an atmosphere analysis using more traditional 1D techniques and the most recent 3D techniques. We compared and contrasted the assumptions and results of each technique and investigated how the assumptions affect the final derived atmospheric parameters.

Results. We find that in all three cases, both components of a system are highly overluminous, indicating either efficient internal mixing of helium or previous nonconservative mass transfer. However, we do not find strong evidence of the helium or CNO surface abundance changes that are usually associated with mixing. Additionally, we find that in unequal-mass systems, the measured effective temperature and luminosity of the less massive component places it very close to the more massive component on the Hertzsprung–Russell diagram. These results were obtained independently using both of the techniques mentioned above. This suggests that these measurements are robust.

Conclusions. The observed discrepancies between the temperature and the surface abundance measurements when compared to theoretical expectations indicate that additional physical mechanisms that have not been accounted for so far may be at play.
Research on the Correlation between Freight Transportation and National Economic Development
Authors: Yang Rui
Published: May 2021

Freight transportation is closely related to economic development. Freight transportation will promote economic development, and economic development will also promote the growth of freight transportation. Therefore, quantitative analysis of the relationship between the two has certain research significance. This article explores the correlation between the two stages and different modes of transportation through coupling analysis, cointegration analysis, and gray correlation analysis based on the data from 1989 to 2018 of freight transportation volume and GDP. The study found that, overall, the growth of freight volume has a certain role in promoting economic growth, and the correlation between different modes of transportation is different. Among them, the correlation between water transportation1 and GDP is the strongest, and civil aviation is the weakest. The correlation between highways and GDP is stronger than that of railways, and railway freight transportation still has certain development potential under the conditions of green transportation and the "promoting railway instead of highway transportation" environment and transportation policies. According to the analysis, it is expected that the growth of freight volume will continue to drive economic growth in the future, but different modes of transportation will lead to different functions. Therefore, while continuing to maintain the development momentum of the freight transportation industry, adjusting a more reasonable transportation structure will be more conducive to China's economic development.
Emergency Resource Scheduling During COVID-19
Authors: Wu Lingfang , Xiang Xiaolin
Published: May 2021

Due to the suddenness and uncertainty of the COVID-19, sufficient emergency resources should be allocated to the appropriate emergency space within a limited time. In order to ensure the smooth implementation of emergency resource scheduling, emergency resource must be timely and effectively supplied. Therefore, it is of great significance to study how to reasonably distribute emergency resource and how to optimize the vehicle routing problem to improve the efficiency of emergency. Based on the research of capacitated vehicle routing problem (CVRP) solved by traditional genetic algorithm, this paper proposes simulated annealing-genetic algorithm, which has been verified to effectively solve the capacitated vehicle routing problem.
Research on the Spatial Spillover Effect of the Collaborative Innovation of Science and Technology in the Pearl River Delta Urban Agglomeration
Authors: Wu Yan
Published: May 2021

This paper uses spatial panel VAR model to study the spatial spillover of the collaborative innovation of Science and technology in the Pearl River Delta urban agglomeration from 2010 to 2018. The empirical results show that a positive shock on the collaborative innovation of Science and technology of a city in the Pearl River Delta urban agglomeration will spread to other cities in the Pearl River Delta urban agglomeration, and will have a positive impact on the collaborative innovation of Science and technology and R & D input variables of other cities in the second period; A positive shock on the R & D input of a city will make the collaborative innovation of Science and technology and R & D input variables of the city and other cities have a positive impact in the second period; the collaborative innovation of Science and technology and R & D input variables have positive external effects in the Pearl River Delta urban agglomeration. Finally, some suggestions are put forward.
Risk Sharing of Urban Underground Comprehensive Pipe Gallery PPP Project Based on Grey Relational Analysis
Authors: Shixia Duan , Jielin Diao
Published: May 2021

In order to establish a reasonable, effective and accurate risk sharing mechanism for PPP project of urban underground comprehensive pipe gallery, 25 risk factors are identified by the work structure decomposition method. Secondly, a risk sharing method based on improved grey correlation analysis is proposed to solve the complexity of risk sharing in PPP project of urban underground comprehensive pipe gallery. Then, an improved risk sharing model is constructed based on this method. Finally, some targeted measures are proposed for the identified key risk factors. This risk sharing model has certain reference value for the research on risk sharing of urban underground comprehensive pipeline corridor PPP projects.
How the Alibaba Group Implements Its Mission in Fighting Against the Epidemic
Authors: Sun Yuan
Published: May 2021

The epidemic is one of the topics that cannot be ignored in 2020. It broke out suddenly and spread rapidly all over the world. The Alibaba Group, as a business giant, has performed well in fighting the epidemic. This paper is a case study on strategic management, focusing on the Alibaba Group to discuss and analyze the specific efforts and changes that it has made to fight the epidemic under its mission. By analyzing the financial reports of the last three quarters, which are September Quarter 2019 Results, December Quarter 2019 Results, and March Quarter 2020 and Full Fiscal Year 2020 Results, it can be found that the Alibaba Group responded very positively and made great contributions in the process of fighting the epidemic. Every crucial decision of the Alibaba Group takes the corporate mission as the core, and it is capable and willing to maintain its mission.
A Study on Children’s Preference for Tourist Destinations Based on Naive Theory
Authors: Yan Liu
Published: May 2021

At present, the lack of both supply and theory in children tourism is due to the long-term habit of placing children in the opposite or attached state of ethics of adults, and the “scenery” in the eyes of children haven’t received due attention. Therefore, to link and verify children’s naïve psychology and tourism behavior in many dimensions substantially, to study children’s preference characteristics for types, landscape, recreation of tourism destinations and other self-constructed preference characteristics and causality with tourism behavior, can provide concrete and reliable empirical basis for children’s tourism academic research, industry practice and policy design.
Research on the Mechanism of Digital Economy Driving the Highquality Development of Manufacturing
Authors: Wang Bo
Published: May 2021

This paper is based on the digitalization and manufacturing high-quality development indicators of the national and 30 provinces and municipalities from 2001 to 2017 to conduct research. The results show that the popularization and application of digital technology can significantly promote the high-quality development of the manufacturing industry. In view of this, this article proposes to vigorously develop the digital economy and put forward related industrial policy support, etc., to maximize the promotion effect of the digital economy on the high-quality development of the manufacturing industry.
Evolutionary Characteristics of Project Interdependent Network within National Quality Award Projects of China
Authors: Fu Lixin , Liu Liang
Published: May 2021

The research on the evolutionary law of project interdependent network is the innovation in construction industry. Based on the complex network theory and method, this research establishes the projectproject correlation network, and it is built based on the actual case of the National Quality Award Projects of China (NQAPC). We aim to systematically analyze the structural characteristics and evolution mechanism of the project interdependent network by using global network parameters. As network size increases, the degree follows power-law distribution, the average path length tends to decrease, and the clustering coefficient and heterogeneity gradually increases. The research results may help managers achieve higher performance in strategic network management of construction projects.
Application Electrical Engineering Training and Intelligent Technology of Electrical and Electronic Technology under Artificial Intelligence Technology
Authors: Pu Hai
Published: May 2021

With the development of the times and the improvement of modern industrial technology, computer technology has been greatly developed, so a new concept has been put forward, that is, artificial intelligence. And the composition of modern life is mainly electricity, so in the current era, electronic technology has been rapidly developed. But the original electrical and electronic technology can no longer match today's intelligent technology, but electronic technology is the basis of the development of modern intelligent technology. Therefore, the purpose of this paper is to use artificial intelligence technology to study the application of electrical engineering training and intelligent technology of electrical and electronic technology. After consulting the history of electrical engineering and the development, current situation and future development direction of electrical and electronic technology, this paper reviews the algorithms constructed by artificial intelligence and the basic operation of intelligent things. The improved adaptive parameter DBSCAN clustering algorithm is used to train electrical engineering and to make reference for the intelligence of electrical and electronic technology. The experimental results show that a good algorithm can speed up the training degree of electrical engineering and speed up the intelligent progress of electrical and electronic technology.
Power market stability and risk management
Authors: Weizhe Tan , Xiaofeng Yu , Yeyang Zhu , Haibing Jia , Xiangdong He
Published: May 2021

At present, China is in the stage of transition from the monopoly and unified management mode of the traditional power system to an open power market. The formation of a good market model and rules can meet the needs of fair competition, improve the production efficiency and service level of power enterprises, and reduce production costs. This article mainly introduces three methods of stability analysis, and expounds the potential risks and solutions facing China's power market from the perspective of risk management.
Research on Schedule Risk of Ship Maintenance Project Resource Allocation Based on System Dynamics
Authors: Zhimeng Liu , Lu Yao , Jiazheng Tang
Published: May 2021

Ship maintenance requires the use of a lot of resources, and the schedule risk caused by resource factors is an important reason for the long time and easy delay of maintenance projects. This paper adopts system dynamics theory to analyze the dynamic relationship between activity delay and resource allocation factors, and establishes a risk assessment model. Use anylogic software to simulate the implementation process of activities, and effectively simulate the mutual influence and change process of various risk factors, so as to achieve the purpose of accurately and effectively estimating the duration of project activities.
Research on taxation policies that promote enterprise technological innovation in the context of big data
Authors: Zhu Chunxiao , Zhu Jiaqi
Published: May 2021

Technological innovation is the source of economic growth and the source and driving force of enterprise development. The scientific research and development of enterprises is not only beneficial to the company, but can also drive the rapid development of related industrial chains. At present, most companies in China are facing the dilemma of financing difficulties, thereby curbing their innovation capabilities. At this time, the government needs to introduce preferential policies for macro-control and guidance. Tax big data contains a large amount of data and information in all aspects required for tax management. The transparency, efficiency and predictability of big data provide strong technical support for tax collection and management. In order to promote enterprise innovation, the government has issued a series of preferential tax policies. This paper analyzes the mechanism of technological innovation and tax policies, combs the current tax policies in China, further explains the effects of the policies, and points out the shortcomings of the current preferential tax policies. Finally, some suggestions are put forward for reference by policy researchers.
Research on the Application Value of BIM in Building Construction
Authors: Shixia Duan , Yangliu Jin
Published: May 2021

In order to adapt to the rapid development of the national economic level, as well as to meet
people's higher and higher requirements for the living environment, the construction industry must break the
traditional extensive management of the construction model, and introduce new science and technology into
building construction. Based on the three objectives of project management, including schedule, cost and
quality control, this paper points out the limitations of project management under traditional construction
methods, and points out that the application of BIM technology represents the latest direction of modern
information technology application in the engineering construction industry. By studying the impact of BIM
technology on traditional construction and highlighting the value of applying BIM technology in the field of
construction, it is expected to find a construction management mode more suitable for modern construction
enterprises, so as to promote the sustainable development of the construction industry.
An empirical analysis of dialect and regional economic growth based on OLS regression model
Authors: Simin Wang , Jiayuan Li , Wenjie Guo , Huilin Yang , Yang Fei
Published: May 2021

There is a relatively new economic growth theory that culture is a deeper force to explain economic growth. This paper will establish an economic growth model based on Solow model, and discuss the economic growth of multi-ethnic areas from the perspective of language economics. On the basis of literature research, this paper first puts forward the conjecture that dialect diversity has a negative impact on the economic income level of multi-ethnic areas. In order to verify this conjecture, this paper selects Xiaojin County, Danba County, Puge county and Butuo County of Sichuan Province as the investigation objects. After screening more than 200 effective data, the least square linear regression model is used to carry out empirical analysis. Through White Heteroscedasticity Test and WLS Heteroscedasticity Test, the hypothesis that dialect diversity has a negative impact on economic income level in multi-ethnic areas is verified.
Research on Development Mechanism and Strategy of Folk Art Industry in Northeast of China
Authors: Tian Yi , Meng Meng , Mei Lyu , Dong Shifei
Published: May 2021

The folk art forms of northeast of China are rich and varied. They fully presents the cultural of northeast of China. However, with the transformation of China from a traditional agricultural society to a modern industrial society, people's production mode and life style have changed greatly, and The environment on which folk art depends has huge changed. Some folk art categories are on the verge of extinction, aging and some folk art are lost due to the death of the older generation of artists. The paper presents a study on how to effectively protect and inherit the folk art in northeast China from two follow aspects-- optimization of folk art form and platform construction. Through literature review, research framework, deductive content analysis, combination of quantitative analysis and qualitative analysis, research methods were proposed as guidelines for improved to protect and inherit the folk art:1) Research on contemporary cultural ecology of folk art. 2) Rational creative development of folk art industry in northeast of China. 3) Brand cultivation of folk art industry in northeast of China 4) Establishing and improving the standard trading platform and value evaluation system for folk art works 5) Relying on "Internet +" to establish the operation and communication platform for collectors, investors, folk artists and operators.
An analysis of the old age security management of flexible employees
Authors: Shuang Li , Daizhi Jin
Published: May 2021

With the increasing number of flexible employees, the related security issues of flexible employees are becoming a topic of concern. It has been put on the agenda to strengthen the management of medical, industrial injury and unemployment security of flexible employees, but the management of pension security still faces many problems. This paper analyzes the two aspects of the system factors and human factors existing in the old-age security management of flexible employment personnel, and puts forward corresponding suggestions.
The current situation and prospect of the management of anti-seismic protection of historical buildings
Authors: Li Pei
Published: May 2021

The seismic safety of historical buildings is one of the key and difficult points in the protection and utilization of historical buildings. This article introduces and analyzes the status quo of historical building seismic reinforcement technology from the aspects of historical building definition and protection principles, reinforcement principles, and reinforcement methods. Finally, the development direction of seismic reinforcement technology for historic buildings is summarized and prospected.
Characteristics, problems and suggestions of cloud ERP application mode
Authors: Wang Xiaohui
Published: May 2021

In recent years, cloud ERP has aroused extensive concern from all walks of life in China. Cloud ERP not only reduces the application threshold but also greatly enhances the convenience of ERP use, which has brought about big change to enterprise’s informatization construction. In this study, by analyzing the characteristics of cloud ERP, the related problems were examined and the corresponding suggestions were proposed for the practical application.
Three Thoughts in Art Research in Big Data Age
Authors: Wang Weiwei
Published: May 2021

With the arrival of big data era, its research methods, ideas, technology models and so on are constantly changing our learning, life and work model. Big data has made all walks of life enter a new stage of transformation. Most scholars at home and abroad believe that the technical essence of big data can be excavated through phenomena, which can be used as an effective means to eliminate disadvantages. However, it is widely known that, as a specialized subject to study human creative activities, laws and aesthetic manifestations, art research is influenced by the big data era, and a series of changes are taking place in the links of data extraction, research process and analysis of research results. Through the research, this paper combs out the thinking turn, method turn and art history view turn of art research under the background of big data, and puts forward the improvement strategy of art research, thus providing the direction for the development of art.
Research on Inheritance and Innovation of Chinese Medicine Culture in Colleges and Universities
Authors: Zhao Yong , Ma Jun , Chen Manli
Published: May 2021

With the development of Internet information technology, traditional Chinese medicine culture is stepping into people’s life in a new way. As the main front of talent training and cultural inheritance, TCM colleges and universities play an important role in cultural development and innovation. At present, there are some problems in TCM colleges and universities, such as the lack of prominent cultural characteristics, the decline of students’ cultural confidence and sense of identity, and the insufficient application of Internet technology. Therefore, it is suggested to integrate classical culture learning and practical training, integrate superior resources inside and outside the school, strengthen cultural propaganda and information technology development and utilization, and other measures to promote TCM colleges and universities to fulfill the mission of the university, and promote the inheritance and innovation of TCM culture.
An E-commerce Agreement Based on the Points System of the Blockchain and the Secure Multi-party Platform
Authors: Hu Jiayi , Xin Peifan , Deng Jiahui , Qian Jiawei
Published: May 2021

Blockchain technology, as the supporting technology in digital currency, has brought considerable changes to e-commerce sector with its decentralised, tamper-proof and anonymous working methods. Based on the characteristics and the tamper-proof traceability of the block chain, this study constructs the application architecture of the e-commerce platform integration system, which not only realises the collaborative computing on the multi-party secure data platform, but also maintains the confidentiality of the calculation verification and input data. Additionally, the actual consumption process of consumers is introduced for case analysis to verify the feasibility of the method, which guides the collaborative application of blockchain technology and multi-party security computing technology in the field of e-commerce.
Study on the Influential Factors of Micro-blog Forwarding
Authors: Jia Keliang , Li Zhinuo
Published: May 2021

The secondary forwarding of micro-blog can realize the fission transmission of micro-blog information, so the researches on Influential Factors of micro-blog retweeting has become a research hotspot of current scholars. Based on Lasswell’s 5W model, this paper comprehensively analyzes the factors influencing micro-blog forwarding from the standpoint of disseminator, content, channel and audience, and puts forward 16 research hypotheses, then constructs an influential factors model of micro-blog retweeting, and finally verifies the hypothesis based on binary logistic regression analysis model. Data analysis results show that the count of the fans of a disseminator, count of micro-blogs of a disseminator, mean count of micro-blogs being forwarded of a disseminator, mean count of micro-blogs being commented and thumbed of a disseminator, length of micro-blog, popularity of micro-blog, followees count of an audience, activity of audience retweeting, an audience’s retweeting concern to his followee show a positive effect on the behavior of retweeting, while richness of micro-blog, emotion words, count of fans of the audience have a negative impact on the retweeting behavior.
A critical overview of four-stage model under the background of the rise of ride-sharing
Authors: Xintong Meng
Published: May 2021

Future transport systems are expected to rely to a much greater extent on intelligent ride-sharing services, thus ride-sharing will have a significant impact on traffic planning and demand forecasting. This paper aims to review the classic transport planning four-stage model critically and extend it to make it more appropriate for traffic planning in the context of the rise of ride-sharing.
Overview of Internet of Things and Its Application in Tobacco Industry Enterprise Management
Authors: Zheng Huali
Published: May 2021

With the continuous efforts of human beings, great progress has been made in the development of society, and socioeconomic level and science and technology have achieved great development. The concept of the Internet of Things (IoT) was first proposed in the 1990s. So far, research on the IoT has been ongoing. The development of the IoT to this day has achieved certain results and is gradually applied in various industries. The tobacco industry has always occupied a large proportion in China’s economic market and is an indispensable part of my country's national economy. Reasonable and effective business management can promote the stable development of China's tobacco industry. This article first introduces the IoT technology, then analyzes the advantages of the IoT application in tobacco industry enterprise management, and finally discusses the practical application of the IoT in tobacco industry enterprise management.
“Three-Education” mode of Civil Engineering talents Based on “Double Chain Fusion”
Authors: Xueying Liu , Qiang Li
Published: May 2021

The core of developing application-oriented undergraduate education is to create a first-rate ecology that is most conducive to the cultivation of undergraduate talents. Based on the education chain and industrial chain, the civil engineering talent cultivation mode of moral education, practical education and innovative education is constructed. The national excellent party building model branch has been established, and the “model worker” training studio has been set up to play the leading role of party building education. Engineering experience, scientific research experience and other practical education methods are explored. Innovation education mechanism of teaching practice, innovation activities, and science and technology service has been constructed. The results show that the model enables students to succeed, enterprises to improve economic efficiency and market competitiveness, and teachers to benefit a lot.
The design of the warehouse layout based on the non-logistics analysis of SLP
Authors: Zhang Yifei
Published: May 2021

Using SLP method obtains the comprehensive correlation through the analysis of the logistics relationship and non-logistics relationship between the various operating units of the warehouse. According to the current situation of the comprehensive related relationship and the warehouse problem, designers can formulate a feasible plan. However, owing to the SLP method is insufficient in solving the problem of facility layout, that is, it is easy to be influenced by the subjective factors of the designer, especially in analyzing the non-logistic relationship. In this paper, the non-logistics relationship determination process is quantified, and ultimately improved scheme.
Analysis on Tax Collection and Management of Digital Economy
Authors: Zhu Chun-xiao
Published: May 2021

Digital economy is a new form of economic and social development based on a new generation of information technology. The rapid development of cloud computing, Internet of Things, big data, 5G and other information technologies and infrastructure have promoted the rapid development of China's digital economy. Due to the digitization of goods and services and the intangibility of assets in the digital economy model, it has also brought opportunities and challenges to the traditional tax collection and management model. This paper introduces the current scale of China's digital economy and the impact of the digital economy on China's tax collection and administration, clarifies the opportunities and challenges facing China's current tax collection and administration model, and combines the case analysis of China's digital economy tax collection and administration to give corresponding countermeasures and suggestions.
Political uncertainty and corporate investment: Empirical evidence from China
Authors: Lv Miaochen , Bai Manying
Published: May 2021

Using data of Chinese listed companies and local officials’ turnover, this paper examines the impact of political uncertainty on corporate investment in China. Results show that during the change of officials, companies will significantly reduce investment, despite the different measures of political uncertainty. This situation is more obvious for external appointment, state-owned enterprises and capitalintensive firms. Moreover, this paper creatively finds that this influence of provincial political uncertainty is more pronounced than that of municipal political uncertainty. Besides, the volatility of corporate investment increase with political uncertainty.
Screening a supplier with fairness preference
Authors: Zheng Kaiming , Wang Xiaoyuan , Ni Debing
Published: May 2021

This paper is to study how a firm to screen an external supplier who has fairness preference using a general screening framework. The supplier with fairness preference provides products or services to the firm, and the firm designs a contract to screen the preference type of suppliers. The supplier’s fairness preference is adjusted by their ability difference, this paper analyzes how the supplier’s ability difference affect the optimal contract variables under the standard framework. The results illustrate that the larger ability difference will narrow the output difference between two different type suppliers. Associated with fairness preference, the probability distribution can increase or decrease the output difference. Furthermore, different strengths of the fairness preference would amplify or shrink the output difference between two different type suppliers.
Research on Evaluation of Input and Output of Physical Assets of Power Grid Enterprises Based on DEA Theory
Authors: Liu Fuyan , Yu Min , Li Xiaohui , Liu Jinpeng , Yu Xiaoyan
Published: May 2021

With the continuous and rapid development of the national economy and the improvement of people's living standards, the construction of regional power grids is gradually increasing, and the corresponding investment will also increase. If the scale of investment is too small or lagging, it will inevitably fail to meet the requirements of economic and social development and load growth. It will also affect the long-term development of the enterprise and fail to achieve the expected investment benefits. However, if the scale of investment is too large or too advanced, it will inevitably cause waste of funds and excess resources, and will also cause business pressure. Therefore, it is necessary to carry out input-output efficiency evaluation research on regional power grids to determine whether the scale of power grid construction is appropriate and whether the input and output match. Therefore, this paper uses the DEA input-output theory, combined with the analysis of the actual asset investment objectives of power grid companies, to build a comprehensive input-output evaluation system, and optimally conduct empirical analysis based on the actual data of various units in a certain area, which can provide support and guide.
Path analysis of flipped English classroom in Higher Vocational Colleges Based on Internet online platform
Authors: Zhang Xiaoli
Published: May 2021

this paper focuses on the strategy research of English education and teaching under the background of "curriculum ideological and political", and expounds the relevant application strategies of "curriculum ideological and political" in English teaching, so as to improve the teaching efficiency. With the continuous improvement of quality education, in English teaching, mainly from the "moral education" as the teaching goal, teachers should not only explain the relevant theoretical knowledge for students, but also make students' Ideological and moral quality, so as to make the students' overall quality develop.
Research on Robustness of Emergency Transportation System of Materials Based on the Three-layer Interdependent Network
Authors: Feng Boyu , Zhou Lin , Zhang Zhihao , Zhang Lei
Published: May 2021

The ability to transport materials under emergency conditions is one of the important capabilities of the country to respond to crises. In order to study the ability of the emergency material transportation system to resist external damage, this paper builds a three-layer interdependent network model based on capacity-load under the analysis of the basic characteristics of the system, and conducts random attacks on the network, studies the relationship between overall robustness and transportation flow of this three-layer network . In addition, the robustness of the three sub-networks is studied, which provides a theoretical basis for constructing a reasonable and robust emergency material transportation system.
Multiperiod ordering model with put option contracts under inflation
Authors: Wan Nana , Li Li
Published: May 2021

This paper considers the rising price and the shrinking demand caused by the inflation. To manage these above risks, the firm has a chance to place two types of orders in each period, viz., the firm order and the put options order. This paper formulates a multiperiod ordering model, either without or with put option contracts. Based on stochastic dynamic programming, this paper studies the optimal ordering policy structure in each period and provides an approximation to evaluate the corresponding policy parameters. By taking the case without put option contracts as a benchmark, put option contracts are demonstrated to prompt the firm to enhance the service level and improve the performance.