Network Patterns of Zhongyuan Urban Agglomeration in China Based on Baidu Migration Data

As a new product of the Internet and big data era, migration data are of great significance for the revealing of the complex dynamic network patterns of urban agglomerations and for studying the relations between cities by using the “space of flows” model. Based on Baidu migration data of one week in 2021, this paper constructs a 30 × 30 rational data matrix for cities in Zhongyuan Urban Agglomeration and depicts the network pattern from static and dynamic perspectives by using social network analysis and dynamic network visualization. The results show that the network of Zhongyuan Urban Agglomeration is characterized by a circular structure with Zhengzhou as the center, a city belt around Zhengzhou as the connection, subcentral cities as the support and peripheral cities as the extension. Zhengzhou is the core city of the entire network, related to which the central and backbone networks divided in this paper account for nearly 40% of the total migration. Shangqiu, Luoyang, Zhoukou and Handan also play an important role in the structure of the migration network as subcentral cities. For a single city, the migration scale generally peaks on weekends and reaches its minimum during Tuesday to Thursday. Regarding the relations between cities, the migration variation can be divided into four types: peaking on Monday, peaking on weekends, bimodal and stable, and there are obvious phenomena of weekly commuting. In general, the links between cities outside Henan Province and other cities in the urban agglomeration are relatively weak, and the constraints of administrative regionalization on intercity migration are presumed to still exist. According to the results, the location advantage for multi-layer development and construction of Zhongyuan Urban Agglomeration should be made use of. In addition, the status as the core city and the radiation range should be strengthened, and the connections between the peripheral cities and the other cities should be improved, so as to promote the integrated and efficient development of the whole urban agglomeration.

Blockchain-based Integrity Verification of Data Migration in Multi-cloud Storage

In the process of multi-cloud storage data migration, data integrity is vulnerable to corruption, but the existing data integrity verification schemes for data migration across clouds are not highly reliable. To address this problem, a blockchain-based data integrity verification scheme for migration across clouds is proposed in this paper. In this scheme, a blockchain network is used instead of a third-party auditor. For each migration, a multi-cloud broker will send an integrity verification request to blockchain at three different times, and a smart contract will verify the data integrity according to the RSA-based homomorphic verification tags. Then, the security of the scheme is analyzed. Finally, simulation experiments and tests are conducted on Ethereum, and the results show the feasibility of the scheme.

Data deciphered: A visual migration of VFX

<p>The visual effects industry is an interconnected network of migratory professionals that is in an on-going state of dynamism. The transient nature of industry contracts and the resultant economic impact of studio ebb and flow is a largely uncharted, yet highly phenomenological subject, within design discourse. In the absence of a reliable metric to quantify employee migration, previous theories in this field have been speculative and conjectural. However, the wealth of data inherent in employment-oriented social-media profiles and online crowd-sourced databases provides a new way in which to identify and analyse collective trends in industry migration. Data Deciphered: A Visual Migration of VFX reveals the geographical and demographic patterns in the postproduction services industry through the data visualization medium. Furthermore, it investigates the optimal way to comprehend, filter and relate the large volume of information that is the sector’s migration patterns. This thesis first amassed a dataset of 82,711 migratory employment records specific to professionals within the visual effects industry over the previous 35 years. It drew this information from the public-facing pages of both the LinkedIn and Internet Movie Database (IMDB) online Internet platforms. This collection has been subsequently used to drive a 3D visualization tool that was constructed within the Unity5 game engine. This study has revealed that, despite claims to the contrary, California continues to function as the central hub of the visual effects world and that the majority of industry professionals have been located there at some point throughout their employment histories. Furthermore, environment and matte-painting roles have been identified as the most migratory, while technician and code professions tend to be more static. Finally, skills analysis demonstrates that while proficiency in software packages and coding languages is prevalent within the industry, ultimately, the possession of these abilities has negligible impact upon migration frequency.</p>

New frontiers of migration research - making migration information infrastructures visible

The nature and production of migration statistics are in flux. Where there used to be ‘migration data’ produced by states and collated by (supra)national agencies with the aim of understanding and recording migration flows, now there are a myriad unofficial data sources and processing collaborations which produce migration and mobility data as a by-product of both commercial and governmental processes. This paper brings together the migration studies with the Science and Technology Studies (STS) literature to take stock of the theoretical and empirical implications of these new data sources for both migrants and for the links between migration and broader social processes. We identify migration information infrastructures: configurations of data assemblages which involve private and public sector actors, where data originally collected for one purpose (billing customers, sharing social information, sensing environmental change) become repurposed as migration statistics. We explore the implications of such migration information infrastructures for migration researchers: what are the entanglements that such infrastructures bring with them, and what do they mean for the ethics and practicalities of doing migration research?

5G Network Data Migration Service Based on Edge Computing

With the development of mobile network technology, the continuous increase of mobile traffic has put forward higher requirements for quality of service (QoS) issues such as asymmetric transmission delay. The paper mainly studies the energy distribution problem on the migration data link from the terminal device to the edge node in the mobile edge network. Multiple data service packages are set up at each hop on the migration data link, and these data service packages compete with each other, and ultimately only one terminal provides and stores energy for this hop. The migration strategy of the data service package is affected by the edge node, and the edge node changes the migration strategy according to the migration strategy of the data service package. The paper is based on the formation of nodes between the data service packages of different nodes on the 5G network data link to jointly control the migration strategy, coordinate the migration strategy formulated, and better coordinate the migration strategy. In this competitive game model, the optimal migration strategy of nodes is found out according to the terminal equipment access requirements. Then according to the node stability rules, the composition of nodes when the nodes are stable is obtained, the migration strategy of stable nodes and the migration and spectrum strategies of operators are obtained, and the migration strategy of joint control provides energy for edge nodes.

An Analysis of the Work Resumption in China under the COVID-19 Epidemic Based on Night Time Lights Data

Public emergencies often have an impact on the production and operation of enterprises. Timely and effective quantitative measurement of enterprises’ offline resumption of work after public emergencies is conducive to the formulation and implementation of relevant policies. In this study, we analyze the level of work resumption after the coronavirus disease 2019 (COVID-19)-influenced Chinese Spring Festival in 2020 with night time lights remote sensing data and Baidu Migration data. The results are verified by official statistics and facts, which demonstrates that COVID-19 has seriously affected the resumption of work after the Spring Festival holiday. Since 10 February, work has been resuming in localities. By the end of March, the work resumption index of most cities exceeded 70% and even Shanghai, Nanjing and Suzhou had achieved complete resumption of work. Wuhan only started to resume work in the last week of March due to the more severe outbreak. Although the level of work resumption is gradually increasing in every area, the specific situation of resumption of work varies in different regions. The process of work resumption in coastal areas is faster, while the process is relatively slow in inland cities.

Applying Concepts and Tools in Demography for Estimating, Analyzing, and Forecasting Forced Migration

Among demographic events (birth, death, and migration), migration is notably the most volatile component to forecast accurately. Accounting for forced migration is even more challenging given the difficulty in collecting forced migration data. Knowledge of trends and patterns of forced migration and its future trajectory is, however, highly relevant for policy planning for migrant sending and receiving areas. This paper aims to review existing methodological tools to estimate and forecast migration in demography and explore how they can be applied to the study of forced migration. It presents steps towards estimation of forced migration and future assessments, which comprise: (1) migration flows estimation methods using both traditional and nontraditional data; (2) empirical analysis of drivers of migration and migration patterns; and (3) forecasting migration based on multidimensional population projections and scenarios approach. The paper then discusses how these demographic methods and tools can be applied to estimate and forecast forced migration.

Assessment of the frequency of Dzuds in the livestock sector of Mongolia

Dzud is defined as severe winter and spring weather conditions, which result in severe shortages of pastures and water, and the loss of large numbers of livestock [1]. According to a study conducted since 1944, the dzud in Mongolia killed a maximum of 9 million and a minimum of 1 million livestock a year, accounting for 2-33 percent of the total number of livestock counted in that year. In monetary terms, a total of 21.1 million head of livestock have died in the last 30 years alone, resulting in a loss of MNT 860 billion. Due to the increase in livestock losses due to the dzud, herders have lost their livestock, which is the main reason for the unplanned increase in the number of people moving to urban areas. This article presents the dzud incidents between 1990 and 2020 in each aimag, analyzes the corresponding migration and livestock mortality statistics, and presents the results. The survey data were compiled using R Studio 4.0.3 software, and the Wilcoxon rank test was used to estimate the actual differences due to the abnormal distribution of dzud duration, livestock mortality, and migration data. Correlationally, as dzud incidence increased, livestock mortality and migration were likely to increase. A value of P greater than 0.05 for dzud duration and abnormal mortality data indicates that the two values are different, while a value of less than 0.05 for dzud migration data indicates no difference between the two values. Therefore, the dzud is likely to increase population influx and increase the negative impact on the agricultural sector in the future. Монгол орны мал аж ахуйн салбарт зудын давтамжийн үзүүлж буй хохирлын үнэлгээ Зуд гэж өвөл, хаврын улиралд цаг агаар хүндэрснээс мал сүрэг бэлчээр, усаар нэн гачигдан, турж зутран олноор хорогдох нөхцөл бүрдэхийг ойлгоно [1]. 1944 оноос хойш хийсэн судалгаагаар манай оронд болсон зудын нөлөөгөөр 1 жилд дотор хамгийн ихдээ 9 орчим сая, багадаа 1 сая орчим толгой мал тус тус хорогдож байсан ба тухайн жилд тоологдсон нийт малын тооны 2-33 хувийг эзлэж байжээ. Зөвхөн сүүлийн 30 жилийн хугацаанд нийт 21,1 сая толгой мал хорогдсоныг мөнгөн дунгээр илэрхийлбэл 860 тэрбум төгрөгний хохирол учиржээ. Зудны улмаас малын зүй бус хорогдол нэмэгдэж малчид малгүй болсны улмаас төв суурин, хот газарт шилжиж тэнд төлөвлөгдөөгүй хүн амын тоог нэмэгдүүлэх үндсэн шалтгаан болж байна. Энэ өгүүлэлд 1990-2020 оны хоорондох зудын тохиолдлыг аймаг тус бүрээр гарган, түүнд харгалзах хүн амын шилжилт хөдөлгөөн, малын зүй бус хорогдлын статистик мэдээлэлд дүн шинжилгээ хийж, гаргасан үр дүнгээс танилцуулж байна. Судалгааны тоон мэдээллийг R Studio 4.0.3 програм ашиглан боловсруулсан ба зуд болсон хугацаа, малын хорогдол болон хүн амын шилжилт хөдөлгөөний мэдээлэл нь хэвийн бус тархалттай байгаа учир Wilcoxon rank test-аргыг ашиглан бодит ялгаа байгааг тооцов. Корреляцийн хамаарлаар зудын тохиолдол олшрох тутам малын хорогдол, хүн амын шилжилт хөдөлгөөн ихсэх магадлалтай байлаа. P утга зуд болсон хугацаа болон зүй бус хорогдлын өгөгдлийн хувьд 0,05-аас их гарсан нь тухайн 2 утга ялгаатай, харин зуд болсон хугацаа хүн амын шижилт хөдөлгөөний хувьд 0,05-аас бага нь тухайн 2 утга ялгаагүй байгааг харуулж байна. Иймээс зудын нөлөөгөөр хүн амын шилжилт хөдөлгөөн ихсэх магадлалтай бөгөөд цаашид хөдөө аж ахуйн салбарт үзүүлэх сөрөг нөлөөлөл ихсэх магадлалтай байна. Түлхүүр үг: ган, зуд, хүн амын шилжилт хөдөлгөөн, малын зүй бус хорогдол