bluuebunny/crossref_metadata_2025 huggingface dataset:
A computational study on second-order nonlinear optical properties based on bis-cyclometalated Ir(iii) complexes: redox and substituent effects
Authors: Chen Yu , Zhang Yuan , Shen Yang , Yao Yao , Zhao Yuanyuan , Qiu Yong-Qing
Published: May 2021

A series of neutral Ir(iii) complexes that possess cyclometalated ligands (C^N) and different ancillary ligands, N-heterocyclic carbene (NHC) and their ionic complexes1+/−–5+/−have been investigated using density functional theory.
Dibismuthanes in catalysis: from synthesis and characterization to redox behavior towards oxidative cleavage of 1,2-diols
Authors: Magre Marc , Kuziola Jennifer , Nöthling Nils , Cornella Josep
Published: May 2021

A family of novel dimetallic Bi(iii) and Bi(v) complexes is reported. Structural analysis of the complexes in the solid state permitted the study of the Bi–Bi distance and its impact in the catalytic redox properties.
Scalable electrochemical synthesis of diaryliodonium salts
Authors: Elsherbini Mohamed , Moran Wesley J.
Published: May 2021

The synthesis of cyclic and acyclic diaryliodonium salts by anodic oxidation of iodobiaryls and iodoarene/arene mixtures has been developed in a simple undivided electrolysis cell in MeCN–HFIP–TfOH without any added electrolyte salts.
The synthesis, properties, and reactivity of Lewis acidic aminoboranes
Authors: Bentley Jordan N. , Simoes Selvyn A. , Pradhan Ekadashi , Zeng Tao , Caputo Christopher B.
Published: May 2021

A series of aminoboranes were studied to understand their Lewis acidic properties. Unexpectedly, the relative Lewis acidity was dependent on the aromatic nature of the amino substituent and not the B–N bond π-overlap.
An easily accessible, lower rim substituted calix[4]arene selectively binds N,N-dimethyllysine
Authors: Shaurya Alok , Garnett Graham A. E. , Starke Melissa J. , Grasdal Mark C. , Dewar Charlotte C. , Kliuchynskyi Anton Y. , Hof Fraser
Published: May 2021

A single substitution on p-sulfonatocalix[4]arene, away from its binding face, modifies its selectivity towards a smaller and less hydrophobic guest (dimethyllysine) without making direct contact with the guest.
Synthesis and photophysical evaluation of polarity sensitive push–pull isoquinolines and their alkynyl precursors
Authors: Brambilla Elisa , Giannangeli Matteo , Pirovano Valentina , Rossi Elisabetta , Caselli Alessandro , Abbiati Giorgio
Published: May 2021

Novel D-π-A isoquinolines starting from D-π-A alkynylbenzaldehydes have been prepared. The D-π-A compounds display interesting polarity sensitive properties.
Optical sensing of anions by macrocyclic and interlocked hosts
Authors: Tay Hui Min , Beer Paul
Published: May 2021

This review summarises recent developments in the use of macrocyclic and mechanically-interlocked host molecules as optical sensors for anions.
Exploring glycosyl sulphates as donors for chemical glycosylation
Authors: Imperio Daniela , Campo Federica , Panza Luigi
Published: May 2021

Anomeric sulphates give efficient glycosylation reactions with both acidic and basic promoters.
Bsi(OTf)3-mediated tandem annulation of 1-aryl isochroman-3-ones with oxygenated arenes: one-pot synthesis of polyoxygenated homotriptycenes
Authors: Chang Meng-Yang , Lin Chun-Yi , Chen Shin-Mei , Hsiao Yu-Ting
Published: May 2021

Bi(OTf)3-mediated annulation of 1-aryl isochroman-3-ones with oxygenated arenes provides polyoxygenated homotriptycenes under an air atmosphere conditions via inter- and intramolecular Friedel–Crafts procedures.
Visible-light excited luminescent trigonal prismatic metallocages from a template-directed assembly
Authors: Xu Jian-Ping , Zou Wen , Zhan Shun-Ze , Zheng Ji , Wu Kun , Zhang Guo-Hui , Li Jing-Hong , Li Mian , Ning Guo-Hong , Li Dan
Published: May 2021

Trigonal prismatic metallocages based on Cu3Pz3 and Cu2I2/Cu2Br2 with 24-component were assembled via a template-directed strategy. They showed rare visible-light responsive red emissions based on Cu2I2/Cu2Br2 coordination chromophores.
The removal of 3-monochloropropane-1,2-diol ester and glycidyl ester from refined-bleached and deodorized palm oil using activated carbon
Authors: Restiawaty Elvi , Maulana Aulia , Umi Culsum Neng Tresna , Aslan Christian , Suendo Veinardi , Nishiyama Norikazu , Budhi Yogi Wibisono
Published: May 2021

The removal of 3-MCPD and GE from RBDPO was done through adsorption using activated carbon. The maximum 3-MCPD and GE removals result in 80% and 97%, respectively.
A visible light active, carbon–nitrogen–sulfur co-doped TiO2/g-C3N4 Z-scheme heterojunction as an effective photocatalyst to remove dye pollutants
Authors: Huang Zhen , Jia Shuai , Wei Jie , Shao Ziqiang
Published: May 2021

The CNS-TiO2/g-C3N4 photocatalyst with excellent visible light catalytic activity was successfully manufactured, benefiting from the construction of the Z-scheme heterojunction and the co-doping of heteroatoms (C, N and S).
Recent progress of conductive 3D-printed electrodes based upon polymers/carbon nanomaterials using a fused deposition modelling (FDM) method as emerging electrochemical sensing devices
Authors: Omar Muhamad Huzaifah , Razak Khairunisak Abdul , Ab Wahab Mohd Nadhir , Hamzah Hairul Hisham
Published: May 2021

This minireview discusses the current on-demand applications of the conductive 3D-printed electrodes based upon polymer/carbon nanomaterial filaments, printed using the FDM 3D printing method, in developing electrochemical sensors and biosensors.
TCCA-mediated oxidative rearrangement of tetrahydro-β-carbolines: facile access to spirooxindoles and the total synthesis of (±)-coerulescine and (±)-horsfiline
Authors: Sathish Manda , Sakla Akash P. , Nachtigall Fabiane M. , Santos Leonardo S. , Shankaraiah Nagula
Published: May 2021

Three-reactive centered reagent (TCCA) mediated construction of spirooxindoles through an oxidative rearrangement of various N-protected tetrahydro-β-carbolines and total synthesis of natural alkaloids (±)-coerulescine and (±)-horsfiline.
Fighting against drug-resistant tumors by the inhibition of γ-glutamyl transferase with supramolecular platinum prodrug nano-assemblies
Authors: Wang Lina , Liu Zejun , He Shumei , He Shasha , Wang Yupeng
Published: May 2021

Supramolecular Pt-CD/Dex-Ad@OU nano-assemblies for suppressed expression of GGT and breaking the intracellular redox balance to improve the efficacy on cisplatin-resistant human pulmonary carcinoma A549 models.
Tantalum oxide nanoparticles as an advanced platform for cancer diagnostics: a review and perspective
Authors: Koshevaya Ekaterina , Krivoshapkina Elena , Krivoshapkin Pavel
Published: May 2021

Tantalum oxide-based nanoparticles have all chances to become a new general-purpose contrast agent (CA) for computed tomography. This review summarizes the state of the art in TaOx CAs used for single or multimodal imaging and theranostic purposes.
Molten salt assisted synthesis and electromagnetic wave absorption properties of (V1−x−yTixCry)2AlC solid solutions
Authors: Luo Wei , Liu Yi , Wang Chuangye , Zhao Dan , Yuan Xiaoyan , Wang Lei , Zhu Jianfeng , Guo Shouwu , Kong Xingang
Published: May 2021

Novel MAX phase solid solutions with a special dielectric loss mechanism.
Clinical and Research Perspectives on Visual Scene Displays
Authors: Thiessen Amber , Thistle Jennifer , Brown Jessica
Published: May 2021

Purpose

The purposes of this study were to measure the perceptions of speech-language pathologists (SLPs) and researchers regarding the design of visual scene displays (VSDs) and to investigate the perceived difficulties of SLPs in regard to the acquisition and programming of VSDs.

Method

We recruited 270 SLPs and nine researchers who focus on VSDs to complete an online survey. The SLP survey addressed both perception of VSD design and difficulties associated with implementing these images as communication supports in the clinical realm. The researcher group was surveyed solely regarding their opinions associated with VSD design.

Results

SLPs and researchers both ranked high-context VSDs as more effective at supporting communication than low-context VSDs. In addition, both groups ranked VSDs with task-engaged people as more effective at supporting communication than VSDs with camera-engaged people or no people. SLPs reported difficulties with acquiring high-quality VSDs from online sources as well as difficulties with maintenance and upkeep of VSDs. In addition, a large portion of SLPs reported challenges with representing complex concepts through VSDs.

Conclusions

Results from this study provide evidence of general agreement between SLPs and researchers regarding perception of VSD design. SLPs continue to report challenges with the acquisition and programming of VSDs. Further research is needed to develop evidence-based guidelines to support clinical endeavors in these areas.
Workload aware autonomic resource management scheme using grey wolf optimization in cloud environment
Authors: Dewangan Bhupesh Kumar , Agarwal Amit , Choudhury Tanupriya , Pasricha Ashutosh
Published: May 2021

Autonomic resource management on cloud is a challenging task because of its huge heterogeneous and distributed environment. There are several service providers in the cloud to provide a different set of cloud services. These services are delivered to the clients through a cloud network, and it needs to satisfy the Quality‐of‐Service (QoS) requirements of users without affecting the Service Level Agreements. It can only manage through autonomic cloud resource managing frameworks. However, most of the existing frameworks are not much efficient for managing cloud resources because of the varied applications and environments of the cloud. To defeat such problems, this paper proposed the workload aware Autonomic Resource Management Scheme (WARMS) in the cloud environment. Initially, the clustering of cloud workloads is achieved by Modified Density Peak Clustering algorithm. Further, the workload scheduling process is done using fuzzy logic for cloud resource availability. The autonomic system uses Grey Wolf Optimization for virtual machine deployment to achieve optimal resource provisioning. The WARMS system focused on reducing the Service Level Agreement violation, cost, energy usage, and time, and providing better QoS. The simulation results of WARMS shows the system delivering the cloud services more efficiently by the minimized rate of violation and enhanced QoS.
Absolute localisation in confined spaces using deep geometric features
Authors: Brogaard Rune Y. , Ravn Ole , Boukas Evangelos
Published: May 2021

When operating in dark and confined spaces, the capacity of the robots to localise in an absolute reference frame is of utmost importance. This letter presents an absolute localisation system, using deep 3D landmarks, for known confined spaces. The system estimates the robot's relative localisation using visual inertial odometry. Local deep 3D landmarks are extracted from the robot's view. Similar 3D landmarks are, also, extracted from the prior map which are then registered with the local landmarks to provide absolute localisation via an extended Kalman filter. To the best of knowledge, deep 3D feature registration has not been used before for absolute localisation. The proposed localisation system is tested within a representative application area—i.e. a structured, confined space—and the results indicate greater accuracy and lower processing time when compared to mainstream 3D registration approaches.
In-depth investigation of the physical origin of the soft X-ray excess in PG 1448+273
Authors: Ding Nan , Gu Qiusheng , Tang Yunyong , Ge Xue , Guo Xiaotong , Xu Xinpeng , Chen Yongyun , Geng Xiongfei , Liu JiaLi
Published: May 2021

We present systematic X-ray spectral and variability analyses for the narrow-line Seyfert 1 galaxy (NLsy1), PG 1448+273, using the data from two long-exposureXMM-Newtonobservations of the source in the different flux states. These X-ray spectral analyses indicate that the two main-stream models of soft X-ray excess, the relativistically smeared reflection scenario and the warm corona scenario, show a similar statistical fit to the data sets. However, the warm corona scenario requires a black hole mass that is much larger than that estimated by the single-epoch optical spectroscopy and the X-ray variability scaling technology to alleviate the conflict between the X-ray and optical/ultraviolet data. The time-varying analyses reveal that PG 1448+273 has significant X-ray variability, especially in the low state. The features of X-ray spectra and variability show significant differences between the high and low states. At the low state, a highly variable ultra-fast outflow feature appears in the X-ray spectra, and the X-ray spectra show a very significant soft X-ray excess. At the high state, a ‘dip’, or oscillation, feature with ∼3.2σconfidence level emerges in the power spectral density atν ∼ 103.6Hz, which is a unique time signature of the reflected X-ray reprocessing. Meanwhile, we also detect a tentative soft lag. It is shown that these unique spectral features and variation behaviours can be explained self-consistently in the relativistically smeared reflection scenario, in which the geometric position of the corona changes. Our results suggest that PG 1448-273 can be used as an ideal object to further study the details of the relativistic reflection process.
Investigation of a coupling model of coordination between Xinjiang High-speed Railway and the Tourism Economy
Authors: Li Xiaodan , Guo Lihua
Published: May 2021

Transportation is an important factor affecting the development of tourism economy. With the opening and operation of high-speed railway, tourism has become the highest priority and most direct beneficiary industry. This paper builds a coordination degree model and a coupling coordination degree model (CCDM) for examining the coordination degree of Xinjiang high-speed railway and tourism economy. Results reveal that Xinjiang's high-speed railway and tourism economy have transformed from a moderate imbalance to primary coordination, but it still needs to be improved. Finally, suggestions are made on how to promote the coordinated development of Xinjiang's high-speed railway and tourism economy.
The Influence of Psychological Flexibility of Nurses on Occupational Stress during the COVID-19 under the Background of Big Data：The Mediating Effect of Error Management Climate
Authors: Lin Bo , Ma Junbo , Chi Keqiang
Published: May 2021

Objective: Understand the current situation of hospital error management climate, nurses' psychological flexibility and occupational stress during the COVID-19 under the background of big data, to explore the influence of nurses' psychological flexibility on occupational stress and the intermediary role of error management climate. Provide a basis for improving the hospital's error management climate during the COVID-19 and major public health emergencies under the background of big data, provide an improvement path for improving nurses' psychological flexibility and reducing occupational stress level. Methods: In April 2020, 587 nurses were investigated with error management climate scale, psychological flexibility scale and occupational stress scale. Results: Psychological flexibility is negatively correlated with occupational stress, and error management climate mediates the relationship between the two. Conclusion: Different types of nurses perceive different levels of error management climate, psychological flexibility and occupational stress, among them, gender, education background and working years may be the influencing factors; the higher the level of psychological flexibility of nurses; the better the level of perceived error management climate, and the lower the level of occupational stress of nurses.
State Obligations in Public Health Governance
Authors: Jiaheng Deng
Published: May 2021

This paper mainly analyzes state obligations in global public health governance under the outbreak of 2019-nCoV.In the age of information technology, public health incidents have shifted from those within a nation into a global problem. Based on an analysis of the content of state obligations in the global public health governance mechanism, this paper further discusses the shortcomings of the mechanism and the reasons for them. Finally, the paper puts forward solutions for how to deal with the public health crisis in the context of globalization, in order to provide better solutions when countries implement public health governance.
The impact of transport infrastructure on economic growth--Taking the Zhujiang - Xijiang Economic Belt as an example
Authors: Ma WeiGuo
Published: May 2021

In recent years, with the continuous acceleration of urbanization construction, the city-centered metropolitan area has become an important factor of regional economic development. Based on the relationship between transportation infrastructure and economic growth, the Moran Index is calculated from the panel data of 11 cities in the Zhujiang- Xijiang Economic Belt from 2010 to 2017 to analyze the spatial correlation between transportation infrastructure and economy, and the results show that there is spatial autocorrelation between the two. This paper studies the spatial Dubin model of transportation infrastructure and economic growth, and the results show that transportation infrastructure has spatial spillover effect on economic growth, and economic growth has spatial spillover effect itself. On this basis, policy suggestions for regional development are put forward.
A Vehicle Trajectory Extraction Method for Traffic Simulating Modeling
Authors: Chen Chen , Ren Nver , Li Maoying , Cheng Xu
Published: May 2021

Vehicle driving behavior in urban traffic environment is interactive and complex. In order to simulate the driving behavior of real vehicles, it needs to rely on a large number of real vehicle trajectory data. However, making the simulated model more consistent with the real situation, a large vehicle trajectory dataset is needed. Therefore, this paper proposes a method to automatically extract accurate vehicle trajectory from video captured by UAV camera. The proposed computer vision method obtains the trajectory by detecting the vehicle and then tracking the trajectory, and calculates the relevant parameters of the vehicle, such as position, speed and direction. Therefore, the extracted data can be used as real driving behavior data for simulation modeling. The experimental results show that the proposed method is effective and reliable.
Regional Power Market Impact in Competitive Power Market: A Case Study in Zhejiang
Authors: Wang DongFa , Ding Weibin , Gao Feng , Xu Yang , Fu Yue
Published: May 2021

Along with the progress of the electricity market reform, the formulation of electricity prices and the bidding in the electricity market have become hot issues. Given that electricity price contains a variety of information in the electricity market and reflects market changes, insufficient understanding of electricity prices or improper response will not only affect the revenue of power supply companies, but also have adverse effects on consumers in the downstream of the electricity market. Taking Zhejiang Province as an example, this paper uses a Multi-objective optimization based on genetic algorithm to calculate the optimal power structure of Zhejiang Province under a competitive electricity market environment and evaluate the impact of the market. The results show that as the market reduces the transaction cost of purchased power, the purchased power to Zhejiang Province has a significant positive role in power cost, stability and cleanliness. The electricity cost could be cut down by 18.3 billion yuan, which is 0.04 yuan/kWh. In terms of cleanliness and stability of electricity consumption, the competitive electricity market will also bring about benefits by 2.43% and 1.64% respectively.
Study on the Influence of Population Aging on China's Economic Development Based on Individual Fixed Effect Model
Authors: Liu Xinying , Chen Yuqi , Mu Qishan
Published: May 2021

In recent years, the aging process of China's population has been accelerating, which has a series of impacts on China's economic development. This paper first analyzes the positive and negative effects of population aging on China from the perspective of theory. Then based on the panel data of 31 provinces in China from 1998 to 2017, this paper establishes individual fixed effect model through unit root test, cointegration test, F-test and Hausman test. The result of the model estimation is that the aging of population can promote the economic development of China and the elasticity of GDP per capita to the ratio of the elderly population is 0.05. According to this analysis, this paper provides some policy suggestions for China's future economic development.
Research on integrated manufacturing technology of CNC machine tool and 3D printing
Authors: Lu Shengyu
Published: May 2021

CNC machine tools and 3D printing technology belong to two different processing methods, which have their own advantages and disadvantages. In order to promote the development of high-end manufacturing industry, we can combine CNC machine tools and 3D printing technology to give full play to their advantages. This paper analyzes the integrated manufacturing technology of CNC machine tools and 3D printing, further improve the level of industrial production in China.
Analysis of Dual Sourcing Strategy with Quality Differentiated Suppliers
Authors: Zhao Shuang
Published: May 2021

Co-opetition supply chain is now the normal mode of development among enterprises. Based on the co-opetition supply chain, this paper designs a model to study the procurement strategy between OEM and two suppliers with supply uncertainty. We find that the profit increase of OEM is less affected by the wholesale price of a single supplier when purchasing through a single channel suppress. The dual purchase strategy has a great advantage, which leads to price war and reduces wholesale price. However, it is interesting to find that when the technical level of competitive suppliers is constantly improving, the order quantity of competitive suppliers is not always rising, but presents a single peak mode. This shows that OEM can deal with the threat of profit by reducing the orders to competitive suppliers.
The Application Research of Project Management Maturity Model of Real Estate Development Enterprise based on BIM Technology
Authors: Yun Wan , Yuhan Ma , Wanqing Zhou
Published: May 2021

This paper takes the project management of real estate development enterprises as the research object. The five elements of progress, quality, cost, safety and risk are selected to establish a maturity evaluation index system. Aiming at the target layer, element layer and index layer based on the application of BIM technology, this paper constructs the corresponding maturity model, and conducts case analysis on the enterprise project management level before and after the application of BIM technology to verify the application effect of BIM technology. The research results provide important management theories, standards and tools for improving the application effect of BIM technology.
Research on the management of seismic data quality assessment methods
Authors: Bo Li , Chengyu Liu , zhengshuai Zhang , Guoyi Li
Published: May 2021

The quality of real-time waveform data from seismic networks not only directly affects the accuracy of seismic positioning accuracy, but also has an irreversible impact on the credibility of in-depth research findings in seismic disciplines. The article introduces an engineering perspective evaluation method for seismic data quality assessment, and uses real-time waveform data from the seismic station network in Shandong to form a visualization report on the quality of seismic quasi-real-time data, so as to determine the data quality of the seismic station network more intuitively and accurately.
Spatial Distribution and Its Evolution Characteristics of A-grade Scenic spots of Xinjiang in the Context of Big Data
Authors: Guijin Ding , Jinfeng Wu , Chunchun Deng
Published: May 2021

In the context of big data, based on the space analysis function in GIS, using the nearest neighbor index, kernel density analysis and the model of gravity center migration, this article studies spatial distribution and its evolution characteristics of A-grade scenic spots. The results showed that: 1) The number of A-grade scenic spots of Xinjiang grows rapidly and the grade structure is constantly optimized. 2) The spatial distribution characteristics of A-grade scenic spots of Xinjiang are as follows: the spatial distribution of scenic spots is in the pattern of "large dispersion and small agglomeration", mainly along 120km around the city and 10km on both sides of the traffic trunk lines, presenting a "cluster" distribution. 3) The spatial evolution characteristics of A- grade scenic spot in Xinjiang are as follows: the center of gravity of the scenic spot is gradually moving to the west, the overall distribution scope is constantly expanding, and the degree of local agglomeration is constantly increasing, formed three core distribution areas: Urumqi-changji, Yili and Kashgar. 4) The spatial distribution and evolution characteristics of A-grade scenic spots of Xinjiang are mainly affected by topography, the nearby city, population scale and traffic conditions.
Innovation Strategy of Enterprise Human Resource Management under the Background of Big Data
Authors: Chen Liu
Published: May 2021

With the development of social economy, the era of big data has quietly arrived. Under this background, the demand for talents of enterprises will increase, and the management of human resources in enterprises will face huge amount of data, as well as more opportunities and challenges. From the perspective of big data, this paper introduces the meaning and characteristics of big data technology, briefly analyzes various problems existing in the traditional human resource management mode under the background of big data, and expounds how to innovate with the help of big data technology, make up for deficiencies in human resource management, explore the direction of human resource reform in the era of big data, seek a new mode of human resource management in the era of big data, and use big data technology to help enterprises develop and realize economic benefits.
Individual investor attention and stock market performance——Based on big data measurement
Authors: Liu Chanyuan
Published: May 2021

Investor attention is a Sizerce resource, and only the information that investors pay attention to can be reflected in the stock market through transactions. Considering about the development of big data, this paper uses data mining and crawling software to crawl the daily indicators of individual investor attention in 2019. Through a fixed-effect panel data regression model, this paper examines the relationship of personal attention and stock market performance indicators over the same period. This paper found that individual investors’ attention can have a significant positive correlation with the liquidity and profitability indicators of stock market performance.
Research on emergency management of College Students
Authors: Xiangwei Wang
Published: May 2021

In recent years, the number of College Students' emergencies in China is gradually increasing, which is bound to affect the stability and development of colleges and society. This paper takes the college students' emergency in Liaoning Province as an example, analyzes the current situation of College Students' emergency and emergency management mechanism in China, and puts forward countermeasures and suggestions for college students' emergency management mechanism in China. The countermeasures include: to cultivate the crisis awareness of students and university staff; to establish and improve the prevention and early warning mechanism of College Students' emergencies; to strengthen the legal construction of colleges and universities, and to promote the legalization of emergency management in Colleges and universities.
Overview of tourism industry research based on data software analysis
Authors: Wang Chanjuan
Published: May 2021

The rapid development of tourism promotes the study of tourism industry. It accumulates and summarizes a lot of relevant knowledge and theories. This paper takes the research literature of tourism industry retrieved and collected on the Web of Science as the research object. The research tool is the Citespace.5.6 R3 Software. The author combined data analysis and literature reading to summarize the knowledge of tourism industry research in the past five years from 2016 to 2020. Through the research, we get some knowledge and conclusions about the tourism industry research. We hope that these results will provide some basic references for travel industry practitioners and scholars.
Improve the Rapid Development of “High-tech” Industry Based on SWOT Model
Authors: Jiazheng Sun , Yibo Sun
Published: May 2021

In order to promote the renewal and development of the capital city and avoid the "low-speed development trap" in the economy, the government proposed to use "high-tech" industries as the driving force to accelerate the construction of a "high-tech" industrial economic structure and increase investment in industrial innovation, so as to better guide and support overall and long-term development of economic and social. This article uses the SWOT analysis model, based on the actual development of Beijing’s industry, deeply analyzes the advantages, disadvantages, opportunities and challenges of the city’s development of "high-tech" industries, and proposes four aspects of countermeasure, such as improving fiscal and tax incentive policies, improving financing methods, optimizing industrial layout, promoting dual-chain integration. Beijing Municipal Government should speed up a reasonable "high-tech" industrial structure, give full play to the role of "high-tech" industries in "improving quality and efficiency" in Beijing's economic development, and then optimize and enhance the core functions of the capital.
Research on Value Stream Analysis of Prefabricated Building Based on SVN
Authors: Yanliang Zhang , Bei Zhao
Published: May 2021

With the adjustment of the national industrial structure, the transformation of the production mode of the construction industry and the advocacy of the concept of green and energy-saving building, prefabricated building will become the next trend of the construction industry. However, prefabricated building has not been popularized in China's construction industry, which may attribute to the participating parties have not realized the value-added effect that brought by the application of prefabricated building. Therefore, it is necessary to analyze the value gained by all parties in the application of prefabricated building from a global and systematic perspective. Based on the theory of Value and Stakeholders Value Network (SVN) methods, this paper may build a network with value – information – coordination of the stakeholders in a prefabricated building project, and make a comprehensive evaluation on the value acquisition ability and the uncertain risks of key stakeholders in a prefabricated building projects, which may provide a new perspective for the implementation and decision-making of prefabricated building projects.
Correlation between Beijing-Tianjin-Hebei Transportation Integration and Regional Economy
Authors: Miaoxin Wang
Published: May 2021

Transportation plays a fundamental role in economic development. Beijing-Tianjin-Hebei is an important economic growth pole. Analyzing and studying the transportation and economic relevance of the region is not only beneficial to the development of region, but also can provide experience examples for the whole country. In this paper, the Coupling model in physics is used to analyze the correlation between transportation integration and regional economy and find that the degree of coupling coordination between the transportation and economic systems in Beijing-Tianjin-Hebei region has been gradually improved.
Analysis on Regional Imbalance of China’s Foreign Trade and Its Dynamic Evolution Based on Big Data Technology
Authors: Zhao Yiming
Published: May 2021

Foreign trade promotes the development of regional economy, and the imbalance of foreign trade will inevitably lead to economic in-coordination among regions, thus affecting China’s overall development. This paper introduces big data technology, constructs an imbalanced index of foreign trade imbalance, and uses WebCrawler technology to obtain data from 2000 to 2019 to empirically study the imbalance and dynamic evolution of foreign trade in the three major regions of East, Central and West. The results show that our country does have an imbalance in foreign trade between regions, but the overall degree of external dependence has declined, and the imbalanced index of China’s foreign trade has dropped from 1.39 in 2000 to 1.15 in 2019, and its dynamic evolution process has gradually improved, indicating that China’s attention to the balanced development of foreign trade has been effective.
Business Management Wisdom in "Diamond Sutra"
Authors: Zhao Xin , Ti Haowei , Ma Ding
Published: May 2021

It has been more than ten years since I started to study business management. There is no doubt that the modern management discipline originated with the West, and the West is the birthplace of modern management theories and methods. This kind of management theory and method, which originated from the industrial revolution in the West, took enterprises as the basic management unit, and relied on the two mechanisms of market economy and technological revolution. Western management concepts have been widely disseminated and applied around the world, deeply affecting the management practices of companies around the world.

The strategic positioning of an enterprise is determined by the trend of the external environment and the destiny of the enterprise. The destiny of an enterprise is a management element that cannot be ignored, just like what Buddhism said: "Bodhisattva will also lose cause and effect."
The Integration of Innovative Entrepreneurship Education and Interior Design Specialty Education in Higher Vocational Architecture
Authors: Xu Wenjun
Published: May 2021

As a subject with strong application, interior design is intended to guide students to use design concepts and technical means scientifically according to the nature and standards of architecture, so as to create the indoor environment that people need. With the innovation of Internet technology and the rapid development of innovation and entrepreneurship, the integration of innovation and entrepreneurship education and interior design education in higher vocational buildings has become an inevitable trend of talent training. However, at present, there are still some problems in the innovation and entrepreneurship education of interior design major in China, such as the imperfect curriculum system, the insufficient degree of integration of curriculum and specialty, the weak spirit of innovation and entrepreneurship of higher vocational students, the insufficient ability of innovation practice and the lack of practice. In view of this, on the basis of experience at home and abroad, this paper tries to put forward the integration way of innovative entrepreneurship education and interior design professional education from the aspects of the reform of talent training mode, the innovation of curriculum system, the construction of practical platform, and the construction of teaching staff, in order to achieve better educational effect.
Study on Construction of Safety Management Capability Model of Dangerous Goods Transportation for Aviation Logistics Enterprises
Authors: Jia Ziruo , Wei Ran
Published: May 2021

To clarify the mutual relations and structure attributes of safety management capability elements of dangerous goods transportation for aviation logistics enterprises, safety management capability analysis method coupled by analytic hierarchy process (AHP) and DEMATEL is proposed in this paper. Firstly, the conceptual model of safety management capability of dangerous goods transportation for aviation logistics enterprises which takes into account of emergence was established based on existing researches of safety management capability, and the composition elements were confirmed. Secondly, for the defects of traditional DEMATEL method, AHP-based and improved DEMATEL method was constructed. Finally, importance judgment matrix of factors influencing safety management capability of dangerous goods transportation for aviation logistics enterprises was gained through questionnaire inquiry. Meanwhile, the mutual relations of capability factors were confirmed through the centrality and reasons. The research result shows that, the method can be used to analyze safety management capability of dangerous goods transportation for aviation logistics enterprises and construct the structural model.
The influence of work salary and working hours on employee job satisfaction
Authors: Chongyu Li
Published: May 2021

With the continuous development of the human resource management system, the academic circle pays more and more attention to the research of employee satisfaction analysis. As one of the important factors affecting corporate performance, employee satisfaction has a significant impact on fully mobilizing employee enthusiasm. This article uses the China Family Panel Studies (CFPS) database to explore the impact of working hours characteristics and work salary characteristics on the job satisfaction of employees in stateowned enterprises and private enterprises through ordered logit regression methods. The results found that: weekly working hours and annual work income have a significant impact on these two types of employees. However, in-kind benefits and cash benefits only have a significant impact on employees of private enterprises. The one-way commute time only has a significant impact on the employees of state-owned enterprises. On this basis, this article puts forward two suggestions to improve the pertinence of welfare, strengthen the role of welfare incentives, and the government to formulate a labor standard law related to working hours, in order to improve employee job satisfaction.
The Development of Interior Decoration Design Under the Background of Big Data
Authors: Wenjing Yin
Published: May 2021

In recent years, with the rapid development of information technology and the extensive coverage of the Internet, the information age has come, and data is gradually becoming one of the important factors in the production of various manufacturing and operational entrepreneurs. With the development of society, people have higher and higher requirements for indoor planning. People no longer only pursue the beauty of a simple natural environment, but also pursue the beauty of the natural environment, their unique personality and spiritual pursuit. This article firstly studies some development issues and trends of interior decoration design, and then discovers the application of big data in interior decoration design through literature research. Finally, the questionnaire surveyed the interior decoration design style and product selection. The survey results showed that about 50% of the choice of style chose simple style, and 70%-80% of consumers chose natural materials for decoration products. It can be seen that, the interior decoration design is simpler, and the natural style develops.
Research on the Integration of Prefabricated Building and BIM Based on Bibliometrics
Authors: Qiuyu Wang , Zhiqi Gong
Published: May 2021

Analyzing the literature in the field of prefabricated building and BIM integration is helpful to promote the development of prefabricated building informatization. Using the Web of Science core collection database as the data source, this study screened relevant literatures at home and abroad from 2000 to 2020. CiteSpace and VOSviewer were used to conduct visual analysis on the characteristics of published articles, research hotspots and evolution trends based on bibliometrics. The results show that the related literature heat in this field will continue to increase in China in the future. Design and management have become the focus and trend of current scholars in this field. Exploring all kinds of development obstacles has become a new research hotspot in the past two years.
Understanding the role of APOE Gene Polymorphisms in Minimal Atrophy Alzheimer’s Disease by mixture of expert models
Authors: Lin Lan , Zhang Ge , Zhang Baiwen , Wu Shuicai
Published: May 2021

Alzheimer’s disease (AD) is a heterogeneous disease. Exploring the characteristics of each AD subtype is the key to disentangling the heterogeneity. Minimal atrophy AD (MAD) is a common AD subtype that yields conflicting results. In order to evaluate this aspect across relatively large heterogeneous AD populations, a total of 192 AD and 228 cognitively normal (CN) subjects were processed by the automated segmentation scheme FreeSurfer, which generates regional cortical thickness measures. A machine learning driven approach, the mixture of expert models, which combines unsupervised modeling of mixtures of distributions with supervised learning of classifiers, was applied to approximates the non-linear boundary between AD and CN subjects with a piece-wise linear boundary. Multiple cortical thicknes patterns of AD were discovered, which includes: bilateral parietal/frontal atrophy AD, left temporal dominant atrophy AD, MAD, and diffuse atrophy AD. MAD had the highest proportions of ApoE4 and ApoE2. Further analysis revealed that ApoE genotype, disease stage and their interactions can partially explain the conflicting observations in MAD.
High-Performance Work Systems In Small And Micro Business: Impact on employee organizational citizenship behavior
Authors: Wang Zichen , Kortana Tanapol
Published: May 2021

Due to the intensified market competition, companies must seek lower-cost and efficient corporate management methods in order to sustainably develop. The concept of high performance work system (HPWS) came into being in this situation. The main purpose of this research is to explore the relationship between high-performance work systems and employee well-being and organizational citizenship behavior. This research takes China’s small and medium-sized enterprises(SMEs) as the research objects of the survey. After analysis using SmartPLS, it is found that the high-performance work system will have a positive and significant impact on well-being and employee citizenship behavior. At the same time, wellbeing plays a mediator variable in the relationship between the high-performance work system and employee citizenship behavior.
Demonstration of Weapon System Requirements Based on System Engineering
Authors: Cai Zhuohan
Published: May 2021

Based on the thoughts and methods of system engineering, this paper explore a new model of weapon equipment system demand demonstration. A research framework for the demonstration of weapon equipment system requirements is proposed, including military background analysis, mission field requirements analysis, capability field requirements analysis, demand plan analysis, and system structure optimization design, and the specification process, theoretical principles, and technology of weapon equipment system requirements demonstration are clarified. The method and related system structure products clarify its practicability and effectiveness, and provide theoretical method support for the demonstration of weapon equipment system requirements and top-level design.
Research on Enterprise Marketing Risk Evaluation Based on Group Decision and Grey System Theory
Authors: Dechen Ding
Published: May 2021

Traditional risk assessment methods have some defects to varying degrees. The marketing risk evaluation model based on heterozygous decision making and grey system theory applies multi-expert consultation mechanism to determine the weight of each evaluation index, and then the grey evaluation model is used to evaluate the marketing risk of enterprises. The case study shows that compared with other methods, this method not only effectively solves the problems of incomplete information, multiple evaluation indexes and collinearity of some indexes in the marketing risk evaluation of enterprises, but also easily finds the potential factors that lead to the marketing crisis.
Catching the Earworm: Understanding Streaming Music Popularity Using Machine Learning Models
Authors: Gao Andrea
Published: May 2021

The digitization of music has fundamentally changed the consumption patterns of music, such that the music popularity has been redefined in the streaming era. Still, production of hit music that capture the lion’s share of music consumption remains the central focus of business operations in music industry. This paper investigates the underlying mechanism that drives music popularity on a popular streaming platform. This research uses machine learning models to examine the predictability of music popularity in terms of its embedded information: audio features and artists. This paper further complements the predictive model by introducing interpretable model to identify what features significantly affect popularity. Results find that machine learning models are capable of making highly accurate predictions, suggesting opportunities in music production that could largely increase possibility of success within streaming era. The findings have important economic implications for music industry to produce and promote the music using controllable and predictable features tailored to the consumer’s preferences.
System reliability modeling and life cycle research considering component characteristics and correlation
Authors: Jia Xinsheng , Chen Youling
Published: May 2021

The accuracy and rationality of the system life depends not only on the detailed grasp of the system operation information, but also on the structural relationship between the internal components of the system and the correlation between the characteristics of each component and the degradation of the components. This article explicitly considers the different characteristics of component failure, and adopts different random process personalized modeling for the failure modes of different components; on this basis, the failure correlation between the components that work together to realize the system function is considered, and the synergistic effect of component failure is integrated into the reliability degradation model of components. In terms of system failure criteria, starting from an economic point of view, the overall working cycle of the system is obtained by comparing the relationship between the replacement cycle of lossy parts and the remaining life of the stable parts. Finally, an example is given to show the effectiveness and practicability of the proposed method.
Financing constraints, equity pledge and the quality of information disclosure
Authors: Changlie Yin , Jing Yuan
Published: May 2021

The application of big data in enterprise management is more and more common. With the data of A-share listed companies in Shenzhen Stock Exchange from 2014 to 2018, this paper examines the influence of controlling shareholders equity pledge on the quality of information disclosure and the moderating effect of financing constraints in the age of big data. There are two key findings. First, the controlling shareholders will take opportunistic action to reduce the quality of information disclosure so as to maintain the stock price and avoid the loss of control. And the higher the proportion of equity pledged, the stronger the incentive. Second, this phenomenon is influenced by the financing constraints, which means the negative relationship between equity pledge and the quality of information disclosure is more significant in high financing constraint enterprise than in low financing constraint enterprise. The above conclusions provide enlightenment for optimizing enterprise information disclosure in the era of big data.