Macro Perspective Research Articles

Motivation and Impact of Ctrip's M&A of Qunar: Evidence from SWOT Analysis

This article is based on the acquisition of Qunar, China's second largest online travel platform, by Ctrip, China's largest online travel platform, in 2015. The SWOT analysis method was used to analyze the main motivations of Ctrip before the merger and the competitive situation after the acquisition. It mainly judges the internal and external impact of Ctrip's acquisition of Qunar to determine whether Ctrip's acquisition is a good decision. The analysis found that the acquisition brought more benefits than risks to Ctrip, both internally and externally, so it can be considered that Ctrip made a very wise decision. This article mainly explains the purpose and strategic significance of Ctrip's M&A decision, and analyzes the impact of Ctrip's M&A on itself and the entire industry from a macro perspective. It not only analyzed the causes and consequences of the entire M&A event, but also analyzed the entire strategic decision of Ctrip from multiple angles. This acquisition is an important case in the competition in the same industry, and provides the management of other enterprises with important experience in governance, decision-making and competition, which is of great reference significance.

Business Negotiation Strategies for Manufacturing Industries in Trade Activities

The manufacturing industry is the backbone of the country, so the development of the manufacturing industry is very critical. Increasing revenue and reducing costs in trade activities are very important for the development of the manufacturing industry. By using some business negotiation techniques correctly, the enterprise can win as much profit as possible in trade activities. There is still a research gap on how to analyze the macro perspective in an integrated manner so that the manufacturing industry can clarify the general process of conducting business negotiation and the key techniques of each process. Therefore, the research topic of this paper is business negotiation strategies for manufacturing industries in trade activities. In this paper, negotiations conducted by manufacturing industries in trade activities are classified according to whether they are competitive or not. The corresponding negotiation strategy analysis is given for competitive and non-competitive negotiations. In order to achieve the effect of negotiators in the manufacturing industry to strive for the maximum profit in the negotiation and promote the prosperous development of the manufacturing industry.

Research on joint planning method of supply and demand considering users’ comprehensive energy consumption behavior and policy orientation

Given the recent escalation of the energy and environmental crises, it is crucial to consider the evolution of various energy systems from a macro perspective in order to increase the overall efficiency of energy use and improve the environment. In order to tackle this issue, a wide-area integrated energy system planning method that takes into account consumers' comprehensive energy consumption behavior (CECB) and policy recommendations is provided in this study. First of all, according to the analysis of users’ CECB, the decision-making model of regional users' energy supply transformation is established. A game model is constructed to explore cooperative planning of an integrated electricity-natural gas energy system based on the profit models of various market participants. The government is considered as the main body of planning and decision-making, and the evaluation model of government’s pollution emissions from both supply and demand sides is established. A two-level dynamic game planning model for the wide-area IES is then created as a result of the examination of the game mechanism between users, the government, the integrated energy system (IES), and other market players. Finally, the model is solved using an iterative search approach. Results from simulations are used to validate the suggested method’s accuracy and efficacy.

Experimental study on the rheological characteristics and viscosity-enhanced factors of super-viscous heavy oil

To reveal the viscosity-enhanced mechanism of super-viscous heavy oil and improve the recovery rate of super-viscous heavy oil, the four components, elemental composition, rheological properties, and effects of asphaltenes and resin on the viscosity of super-viscous heavy oil from well TH12434 in Tahe Oilfield, China have been analyzed from macro and microscopic perspectives by Anton Paar rotational rheometer, gas chromatography-mass spectrometry and scanning cryo-EM to solve the problems of poor fluidity and high asphaltene content. The experimental results showed that in the temperature range of T= 40-100°C, the viscosity of super-viscous heavy oil decreases sharply from 352000 mPa∙s to 1620 mPa∙s, and the super-viscous heavy oil exhibits clear thermo-sensitivity. With T= 100°C and shear rate ranging from γ= 0-800 s-1, the viscosity of super-viscous heavy oil decreases sharply from 45000 mPa∙s to 956 mPa∙s, and the oil sample shows typical pseudoplasticity. The baseline of super-viscous heavy oil analysis by gas chromatography shows too high, and more than 80 % of super-viscous heavy oil compounds have a matching degree of less than 70 % with standard compounds, indicating that the super-viscous heavy oil had poor heterogeneity and many impurities. It is observed by scanning cryo-EM that the micromorphology of super-viscous heavy oil is large granular, strong continuity, asphaltene micromorphology presents an obvious layered structure, the layer spacing is 637.7 nm, and its asphaltene molecules form an order-like or crystal-like association structure through several unit sheet layers, resulting in high viscosity of super-viscous heavy oil. Based on the analysis results of the influencing factors of the viscosity of super-viscous heavy oil, a theoretical basis for the selection of viscosity reduction technology for super-viscous heavy oil the efficient exploitation in Tahe Oilfield, China could be provided.

The Population Exchange and Politics in the Historiography of Turkey and Greece

Abstract This is a historiographical essay about the impact of the population exchange on the political sphere in Greece and Turkey. Notwithstanding the asymmetry in the literature produced in the two countries—excessive in Greece and limited in Turkey—there have been two seminal narratives regarding the impact of the exchange on interwar politics. In regard to Greece, the political cleavage between refugees and locals is shown as the basic factor shaping politics. In regard to Turkey, the exodus of the Christian bourgeoisie is seen as a major factor behind the authoritarianism of the interwar regime. Nevertheless, recent research on local communities that specifically explores refugee and exchangee agency in local and regional politics and studies the place of refugees and exchangees in state demographic projects goes beyond the limitations of macro perspectives, qualifying the prevailing theses on the impact of the exchange on politics in both countries.

Study of the Application of Technology in Teaching Rugby in Colleges and Universities

In the college physical education reform process, many teachers have begun to readjust their teaching directions and ideas, enrich teaching contents and forms while guiding and encouraging students, in order to ensure students to learn more in a free and relaxed learning atmosphere and further improve their overall quality. Currently, some colleges and universities take rugby as the basis for their physical education teaching practices, and also integrate it into my country’s physical education. In the process of guiding and encouraging students, it is essential to cultivate and improve students’ physical qualities, and ensure that they can master the skills and core of rugby. Thus, they can better achieve the individual growth and development. Compared with other sports games, however, Rugby developed late in our country, making many teachers and students have a relatively simple understanding of it. Therefore, in the process of introducing this sport, we teachers should make full preparations to pay attention to different details and influencing factors, as well as actively cultivate students’ awareness of active participation. Gradually, students can master the sports skills and styles suitable for themselves, and form a new understanding of rugby. From a macro perspective, this paper aims to understand the necessity of introducing rugby into college physical education and related measures through combining theoretical analysis and time research. It is expected to provide a certain reference for promoting the reform of college physical education and also improving the teaching quality.

Joint liability and aggravation? An inspection of legislative and judicial practices in cases of the crime of the abduction, sale, and purchase of women and children in China

Human trafficking is a harmful, widespread and pressing issue that demands attention. However, the prevalence of such crimes may vary across different countries and time periods, which means that there may not be a universal solution to addressing them. In response to the recent public outcry sparked by the incident of the woman chained in Feng County, Xuzhou, this article provides a comprehensive review of China’s legislative and judicial responses to crimes against women and children who are abducted and sold, as well as the corresponding governance effects and causes. This study examines whether the punishment for buying and trafficking women and children should be increased through criminal law amendments and whether the current public outrage calling for equal punishment for buyers and sellers is justified. To provide a rational response to these issues, the article reviews all relevant laws, regulations, judicial cases, and typical cases from 1979 to 2022. An analysis of the change in case processing over the years was conducted using MATLAB software with the baseline panel regression model, robustness checks, and mechanism tests. This study reveals a decline on human trafficking crimes in China, but four provinces (Yunnan, Henan, Shandong, and Fujian) have a higher incidence. The article offers a comprehensive analysis from both macro and micro perspectives. National macro factors such as economic development, social welfare policies, rural revitalization, and COVID-19 prevention contribute to the decline. From a micro perspective, local differences in these provinces are a significant reason for high incidence from a micro perspective. This article suggests that legal amendments to increase punishment would be ineffective. Instead, existing legal provisions should be applied, and decision-making rules from typical cases should be utilized.

Personal Financial Burdens of Multiple Myeloma: A Deep Dive into the Patient's Journey Using Qualitative Interview

Background: As multiple myeloma (MM) treatments continue to advance rapidly potentially enabling patients to coexist with MM as a chronic disease, understanding the personal financial burden these patients and their family caregivers bear is critical. Most previous studies have analyzed direct medical costs mainly focusing on medication and hospital visits, but a broader analysis covering the overall financial burden on the disease journey has not been extensively explored. Our study aims to explore and understand the diverse types of financial burdens experienced by MM patients who are newly diagnosed or relapsed and their family caregivers personally aside from medical expenditures along their disease and treatment journey. Methods: We used cross-sectional study using mixed methods by integrating quantitative and qualitative data. The study was conducted at Samsung Medical Centre in Seoul, Korea from October 2021 to December 2022. Patients and their caregivers were recruited at out-patient clinics, and 60-90 minutes semi-structured interviews were conducted via face-to-face or telephone. We used thematic analysis to identify and organize qualitative data into the patterns of theme. Quantitative data including clinical and socio-demographic information of the study participants were obtained from survey and/or patients' Electronic Medical Records. Results: Overall, 80 participants were enrolled: 41 patients and 39 family caregivers. Clinical/socio-demographic information and the distribution of study participants are on the Table 1. In our study direct medical costs (e.g., treatment and medication fee) itself demonstrated minimal impact on personal financial burdens since cancer patients cover only about 5% of the total medical expense upon public healthcare insurance policy in Korea. Surprisingly, more than half of patients were reported to have experienced greater financial burdens in indirect or non-medical expenses. Five main types of personal financial burdens incurred by MM and its treatment were categorized through thematic analysis with quotes from qualitative interview in Figure 2. Within the realm of medical costs, some patients experienced financial burden with the inadequate support before their diagnosis is determined or with non-reimbursed medication on active treatment. Moreover, the additional financial burden from non-medical costs manifested conspicuously both directly and indirectly. Such as time and money for the transportation for outpatient treatment, unpaid leave for hospital visits or hospitalization and productivity loss significantly impacted both patients and caregivers. Interestingly, symptoms from disease or adverse events led to considerable unexpected personal spending in some cases. For instance, neuropathy, a common side effect of MM treatment, compelled some patients to purchase a vehicle with autonomous cruise or resort to increased taxi use due to fears related to driving. Other costs included services or aids (massage, bath or thermo-therapy) for neuropathy home remedies, increased grocery expenses due to appetite loss, and housekeeping expenses arising from fatigue and insomnia. Similarly, ‘health-conscious consumption’ was also observed to increase in some case, such as dietary supplements or organic foods. A cost that is difficult to generalize but shouldn't be overlooked in a long-term, macro perspective is the loss of opportunity costs due to disease or treatment (e.g. decrease in long-term investments, giving up job-seeking activities). This was particularly noticeable in those who were younger or self-employed. Discussion: Everyone has their own individual circumstances, and the financial impact of these circumstances varies considerably, making quantification challenging. Moreover, the significance of a given sum of money can vary individually. Thus, we sought to examine the economic impacts and financial burden on the disease journey within the diverse lives of individuals through a qualitative lens. Our qualitative approach revealed that the financial burden of disease/treatment in each individual's life can be felt incomparably greater than what previous quantitative research had estimated only for direct medical expenditures. Our findings should also underscore the need for comprehensive strategies to alleviate the personal financial burdens borne by MM patients and their caregivers.

Prediction of departure delays at original stations using deep learning approaches: A combination of route conflicts and rolling stock connections

Rolling stock connections and route conflicts of trains at terminal stations are critical to train delay propagation and prediction on the railway networks. Previous studies primarily focused on delay prediction/propagation from a macro perspective, without considering the two factors. To address this problem, a hybrid neural network architecture, called TLF-net, is proposed to predict departure delays at original stations (DDOSs), considering the rolling-stock connection and potential route conflicts in the railway network. TLF-net consists of a transformer, a long short-term memory (LSTM), and a fully-connected neural network (FCNN) block, to separately address variables with different characteristics. Based on the real-world data from two terminal stations in China, the experimental results show that the consideration of the potential route conflicts from the network can considerably improve TLF-net's prediction performance over the model that only considering train interactions on a single railway line. Also, it is proven that arrival/departure routes of consecutive trains are crucial for delay prediction, while using the transformer block can efficiently reveal the route conflict severity between arrival/departure routes. The sensitivity analysis to influence factors demonstrates the significance of considering the rolling stock connection and potential route conflicts. Finally, to support real-time railway traffic management, a train arrival delay prediction model from our previous study is integrated to predict the input of TLF-net (i.e., train arrival delays), enabling the proposed model to dynamically predict the DDOSs. This dynamic updating lengthens the prediction horizon (the prediction time ahead), making it better support real-time train traffic control and management.

Rethinking Quality of Experience for Metaverse Services: A Consumer-Based Economics Perspective

The Metaverse is considered to be one prototype of the next-generation Internet, which contains people's expectations for the future world. However, the academic discussion of the Metaverse still mainly focused on the technical system design, and few research studied Metaverse challenges from the perspective of consumers, i.e., Metaverse users. One difficulty is that the analysis from the consumer's perspective requires interdisciplinary theoretical framework and quantifiable Quality of Experience (QoE) measurements. In this article, pioneering from consumers' point of view, we explore an interaction between Metaverse system design and consumer behaviors. Specifically, we rethink QoE and propose an framework that encompasses both the Metaverse service providers (MSPs) and consumer considerations. From the macro perspective, we introduce a joint optimization scheme that simultaneously considers the Metaverse system design, consumers' utility, and profitability of the MSPs. From the micro perspective, we advocate the Willingness-to-Pay (WTP) as an easy-to-implement measurement for future Metaverse system studies. To illustrate the usability of the proposed integrated framework, a use case, i.e., virtual traveling, is presented. We show that our framework can benefit the MSPs in offering competitive and economical service design to consumers while maximizing the profit.

Coarse particle-laden flows and energy dissipation in inclined hydraulic conveying pipes

Coarse particle-laden flows in inclined pipes are commonly encountered in a wide range of industrial processes. A fully coupled CFD-DEM model considering various fluid-particle interphase forces and turbulence-particle interactions is used to simulate coarse particles transported in inclined pipes. The energy dissipation is calculated from both the macro and micro perspectives. The effects of pipe’s inclination angle, particle concentration, conveying speed and particle diameter on the hydraulic transport characteristics and the energy dissipations are analyzed. The results showed that, with the increase in inclination angle, the deposited particles were gradually dispersed. Pressure drop and energy dissipation displayed a peak at 60°. Both the parameters increased with the increases in particle concentration and conveying speed in 60° inclined pipe. The energy dissipation was mainly due to the turbulent dissipation, wall friction, mean velocity field and particles’ gravity. The results further showed that the modulations in the fluid due to particle distribution could significantly change the energy dissipation caused by the fluctuating velocity, thus resulting in the maximum pressure drop and energy dissipation at 60°. The particle-fluid energy dissipation increased almost linearly with the increase in conveying speed, while it varied nonlinearly with the increase in inclination angle and particle parameters.

Experimental and kinetic analyses on the flame dynamics and stabilization of ammonia/hydrogen-air mixtures in a micro-planar combustor

With the combination of experimental and numerical techniques, flame dynamics and stability of ammonia/hydrogen co-firing combustion are unraveled. Five types of fundamental micro-flame structures are, for the first time, experimentally confirmed with varying blending ratios (ε) and equivalence ratios (ϕ), along with a flame stability diagram delineated. It is shown that elevating ε from 30% to 50% extends the blowoff limit by a factor of 2.77 by suppressing or delaying the occurrence of certain flames. This thus leads to a turndown ratio of 15 in ammonia/hydrogen mixtures comparable to those of hydrocarbon fuel-based industrial combustors. To gain insights into the flame stabilization enhancement, further kinetics analyses are conducted with the validated reaction mechanism. The laminar burning velocity of the binary mixture is found to be increased remarkably with increasing ε, which facilitates flame propagation. Kinetics analyses reveal that varying hydrogen content not only enables the production/destruction pathways of major steps to be changed but also leads to the different sensitivity responses of the laminar burning velocity to reaction steps. This is also accompanied by the increase in the reaction rate of the major chain-branching step, thus signifying the importance of the chemical effect for enhanced flame stability. This work sheds light on the fundamental flame dynamic and enhancement mechanisms of ammonia/hydrogen co-firing combustion from macro and molecular perspectives.

Examining Built Environment Effects on Metro Ridership at Station-to-Station Level considering Circle Heterogeneity: A Case Study from Xi’an, China

Transit-oriented development is described as a geographic unit with multicircle structures. Most studies have analysed the impact of the built environment within station catchment areas on metro passenger flows from a macro perspective and have lacked analysis of the circle heterogeneity. Few relevant studies have independently investigated the impact of the built environment on the passenger flow in each circle and indeed neglected the systematic interaction between inner circles and circles in the TOD area. In this study, the 800 m buffer from the station was equally divided into four circles. Based on the gravity model, the representative built environment features around the metro stations on both sides were extracted using the block attention module (BAM). Subsequently, Shapley Additive exPlanation (SHAP) was used to explore the influence of different built environment variables on passenger flow at each circle between the origin and destination stations. The results indicate the following: (1) the station-to-station passenger flow is significantly affected by the availability of transfers and the distance between the origin and destination stations; (2) the impact of different built environments on ridership significantly varies within different circles; and (3) the built environment has a similar impact on average daily passenger flow on both sides. Therefore, this study proposes strategies to optimize the metro passenger flow by developing different land use in different circles and updating the urban spatial structure.

Understanding the anisotropic wettability of spodumene from direct force measurement using AFM and density functional theory calculations

Wettability directly reflects the interaction between minerals, reagents, and water, and is a key factor determining the flotation separation of minerals. Wettability differences of the spodumene anisotropic crystal surfaces are investigated in this study using contact angle relaxation, atomic force microscopy (AFM), and density functional theory (DFT) calculations. The contact angle relaxation and AFM tests confirm the anisotropic wettability of spodumene surfaces from macro and micro perspectives, respectively, and the order of hydrophilicity is (010) > (100) > (110). The DFT calculations based on surface fracture key points and broken bond density explain the differences in the wettability of spodumene crystal surfaces, that is, the types of broken bonds and the number of broken bonds per unit area are the main influencing factors. The wettability of water molecules on different crystal surfaces is simulated based on the DFT calculations of the broken surface bonds and surface energy, which further verifies the experimental results.

DATA JOURNALISM IN HEALTH REPORTING IN BANGLADESH: PATTERN OF PRACTICES, IMPEDIMENTS AND PREPARATIONS FOR JOURNALISTS

Data journalism, with its ability to provide macro and micro-scale perspectives on health care, redefined health reporting during the global COVID-19 pandemic. Under these circumstances, health has taken the place of high significance. Consequently, the curiosity to see how data journalism is exercised while covering health issues in Bangladesh led to the idea of this study. This investigation aimed to shed light on how data journalism was applied while reporting on health in Bangladeshi media. The study was conducted following a mixed-method approach; quantitative data through content analysis and qualitative data through key informant interviews. The news published in August and September of 2022 in online editions of The Business Standard, the Prothom Alo, the Daily Star and the Ittefaq; was taken for content analysis. Additionally, four key informant interviews with academicians, journalism trainers and media development experts were conducted. The study concluded that data journalism practices in Bangladesh are not up to the standard. The scenario is also severely poor in terms of the number of published data stories; only 24 reports among 736 health-related news were data-driven stories. The Business Standard published 19 health-related data stories, which is the highest among the four news outlets. On the other hand, the Prothom Alo and the Ittefaq did not publish any health-related data story. Even the data-driven stories published in these four news outlets focused only on urban areas. Additionally, the data-driven stories were mainly reported based on government sources. Besides, among 25 data visuals, 84% were pictographs. However, the interviewees identified not having an Optical Character Recognition (OCR) tool for the Bengali language as a significant impediment to the flourishment of data journalism in Bangladesh. They also marked that, journalists in our newsrooms often do not possess the technical skills to carry out the data-driven story. Nevertheless, they proposed that, to improve the scenario of data journalism in Bangladesh, news industry and the universities should work together. Media development organizations should advocate the concept of data journalism in the newsrooms. Furthermore, they have to introduce workshops and training programs on data journalism.

Assessing sustainable transformation and development strategies for gully agricultural production: A case study in the Loess Plateau of China

The core of dual circulation in the Loess Plateau and the greening Yellow River is sustainable development. Gully agricultural sustainable production is extremely important to ensuring a more sustainable Loess Plateau. Here, we investigate the overall characteristics of gully agricultural production sustainable transformation (GAPT) in the Loess Plateau from a macro perspective. We also analyze the evolution, stage characteristics, and trends in gully agricultural production space using theoretical analysis and empirical research from the multi-dimensional perspective of spatio-temporal-development. The findings reveal that: (1) From 2000 to 2020, the gully agricultural production structure in the Loess Plateau exhibited a trend of hierarchical upgrading. In general, gully agricultural production in the Loess Plateau has entered a relatively stable new normal stage of structural adaptation adjustment. (2) Throughout the past two decades, gully agricultural production development in the Loess Plateau has gradually improved, progressing from a low to a high level. Additionally, overall regional disparity has diminished over time. (3) The overall fluctuation of GAPT in the Loess Plateau has increased, with more pronounced changes observed in agricultural functions and ecological security maintenance. At different stages, various factors had demonstrated varying effects on the GAPT, leading to significantly diverse outcomes in production sustainable transformation in response to changes in factor levels. Overall, understanding sustainable gully agricultural production is immensely important for exploring human-earth interactions and forging a sustainable path within this intricate balance. Our research outcomes offer valuable insights for fostering gully rural transformation, optimizing crop planting modes, enhancing the gully living environment, and ultimately propelling the Loess Plateau towards a more sustainable and prosperous future.

Multi-Objective Optimization for High-Speed Railway Network Based on “Demand–Supply–Management” Model

This paper develops a multi-objective optimization model for national high-speed railway network planning. Three objectives are proposed from the macro, meso, and micro perspectives, and these three objectives are considered simultaneously. Using real data, case studies are conducted to optimize China’s “four east–west and four north–south railway lines” network, which includes Beijing, Shanghai, Wuhan, Guangzhou, and Zhengzhou as main hubs. The results show that, on the one hand, the optimization model reduces the overlap between long-distance passengers and short-distance passengers on the high-speed railway line, facilitates the travel of passengers, and improves the line service capability; on the other hand, optimization of the network shortens the travel time of the passengers, reduces the cost of the railway, and improves the operation efficiency of the high-speed railway line network. The results show that the total travel time of all high-speed railway passengers in the optimization model is reduced by 18.4%, while the benefit rate of the operator increased by 21.99%.

Network Pharmacology and Bioinformatics Study of Geniposide Regulating Oxidative Stress in Colorectal Cancer.

This study aims to identify the mechanism of geniposide regulating oxidative stress in colorectal cancer (CRC) through network pharmacology and bioinformatics analysis. Targets of geniposide, oxidative stress-related targets and targets related to CRC were applied from databases. The hub genes for geniposide regulating oxidative stress in CRC were identified with the protein-protein interaction (PPI) network. Furthermore, we applied Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment to analyze the hub genes from a macro perspective. We verified the hub genes by molecular docking, GEPIA, HPA and starBase database. We identified five hub genes: IL1B, GSK3B, NOS3, RELA and CDK4. GO analysis results suggested that the anti-colorectal cancer effect of geniposide by regulating oxidative stress is possibly related to the influence of multiple biological processes, including response to temperature stimulus, response to alkaloid, nitric oxide biosynthetic process, nitric oxide metabolic process, reactive nitrogen species metabolic process, cellular response to peptide, etc. KEGG enrichment analysis results indicated that the PI3K-Akt signaling pathway, IL-17 signaling pathway, p53 signaling pathway, NF-κB signaling pathway and NOD-like receptor signaling pathway are likely to be the significant pathways. Molecular docking results showed that the geniposide had a good binding activity with the hub genes. This study demonstrates that geniposide can regulate oxidative stress in CRC, and induction of oxidative stress is one of the possible mechanisms of anti-recurrence and metastasis effects of geniposide against CRC.

Research on Business Data Analysis and Mining based on Deep Learning

At present, the database system can efficiently realize the functions of data entry, query and statistics, but it can't find the rules of relationships in the database, and can't predict the future development trend according to the existing data. Using data mining technology, we can effectively find the regularity behind a large number of data, provide the hidden knowledge and means in the data, and eliminate the phenomenon of data "explosion but lack of knowledge". Based on DL (Deep Learning), this paper studies the analysis and mining of commercial data. In order to better assist investors to evaluate and make decisions on financial data, it puts forward the need to build a reliable and effective financial data forecasting model. In the original data obtained, it is necessary to interpolate by certain methods in data cleaning, and some repeated data will be duplicated. This paper analyzes and makes full use of these massive commercial information through DL, finds out the potential laws of business and market operation, and finds some unknown and hidden useful information from it, which helps enterprises to grasp the development direction of the industry and sales market from a macro perspective and better serve the vast number of consumers.

Research on Social-spatial Effects Caused by Residential Differentiation : Case Study of Typical Communities in Xi'an City

Combining the evaluation results of questionnaire and remote sensing image, the study evaluate the social-spatial effects of residential differentiation from the micro perspective of residents and the macro perspective of city in a qualitative and quantitative manner. The social-spatial effects are mainly manifested in improving the targeting of community services, hindering interaction between social groups, endangering public safety, exacerbating the unbalanced pattern of public resource and the differences in job-housing balance .