Bibliometric data study: assessing the current ranking of the People's Republic of China in a set of research fields : final report to the delegation of the European Commission

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China University Foundation Developing Trends: 2011

Provides data on university foundations in China, including geographical distribution, university type, focus areas, projects, Web site construction, size of initial fund, assets, and other financials. Discusses their role in the philanthropic sector

An Improved K-means Algorithm and Its Application for Assessment of Culture Industry Listed Companies

Owing to K-means algorithm has the shortcoming that it always neglects the influence of cluster size when the Euclidean distances between samples and cluster center is calculated. In order to overcome the lack, the influence of cluster size is introduced into K-means algorithm in this paper. Therefore an improved K-means algorithm based on gravity is proposed, namely GK-means algorithm. The experimental simulation results show that GK-means algorithm has better performance compared with K-means algorithm. So the GK-means algorithm is adopted for assessing the performance of culture industry listed companies in this paper. Furthermore some satisfactory results are also obtained

Chinese cropping systems are a net source of greenhouse gases despite soil carbon sequestration

This work was funded by National Basic Research Program of China (2014CB953800), Young Talents Projects of the Institute of Urban Environment, Chinese Academy of Sciences (IUEMS201402), National Natural Science Foundation of China (41471190, 41301237, 71704171), China Postdoctoral Science Foundation (2014T70144) and Discovery Early Career Researcher Award of the Australian Research Council (DE170100423). The work contributes to the UK-China Virtual Joint Centres on Nitrogen “N-Circle” and “CINAg” funded by the Newton Fund via UK BBSRC/NERC (grants BB/N013484/1 and BB/N013468/1, respectively).Peer reviewedPostprintPostprin

Using computer simulation in operating room management: impacts of information quality on process performance

High quality information has a significant impact on improving operation performance and patient satisfaction, as well as resolving patient disputes. Based on the analysis of the perioperative process, information quality is considered as an important contributory factor in improving patient throughput. In this paper, we propose a conceptual framework to use computer simulations in modeling information flow of hospital process for operating room management (ORM). Additionally, we conduct simulation studies in different levels of the information quality for ORM. The results of our studies provide evidence that information quality can drive process performance in several phases of the ORM

Tendencias investigativas y formativas en Ingeniería Civil en universidades chinas

Trabajo de InvestigaciónLa ingeniería civil es una de las disciplinas más importantes para el desarrollo económico, la cual proporciona los diferentes elementos que permiten dotar de infraestructura a todas las modalidades de transporte, al igual que la mejora en generación y transmisión de energía y desarrollo de obras hidráulicas. Este cubrimiento tan amplio permite incidir en la economía de un país, dado que la actividad constructora demanda gran mano de obra no calificada la cual es primordial para los países que se encuentran en desarrollo, de igual forma la mano de obra especializada que permita el desarrollo de importantes proyectos como lo son túneles, puentes, embalses y vías. Debido a la gran importancia de estas infraestructuras para el desarrollo de un país, esta rama de la ingeniería es reconocida por todos los países, es por ello que la presente investigación busca establecer las tendencias formativas e investigativas que se presentan en China en cuanto a ingeniería Civil. Y por ello se lleva a cabo una caracterización y evaluación actual de los planes de estudios de programas de ingeniería de universidades que ofrecen esta disciplina en China, a través de filtros investigativos y la recuperación de información y análisis desde las páginas Web de cada institución. Posteriormente, se analizan los criterios de comparación de los planes de estudios, que permiten detectar las principales diferencias entre las universidades. Por otra parte, se realizó un análisis de las tendencias investigativas de las universidades Chinas, con el fin identificar el comportamiento investigativo en las mismas universidades. Se espera que la investigación logre como resultado, conocer la tendencia investigativa de Ingeniería Civil, en las mejores universidades de China.PregradoIngeniero Civi

Millet agriculture dispersed from Northeast China to the Russian Far East: integrating archaeology, genetics, and linguistics

Broomcorn and foxtail millets were being cultivated in the West Liao River basin in Northeast China by at least the sixth millennium BCE. However, when and how millet agriculture spread from there to the north and east remains poorly understood. Here, we trace the dispersal of millet agriculture from Northeast China to the Russian Far East and weigh demic against cultural diffusion as mechanisms for that dispersal. We compare two routes for the spread of millet into the Russian Far East discussed in previous research—an inland route across Manchuria, and a coastal/inland route initially following the Liaodong Peninsula and Yalu River—using an archaeological dataset including millet remains, pottery, stone tools, spindle whorls, jade and figurines. We then integrate the archaeological evidence with linguistic and genetic findings in an approach we term ‘triangulation’. We conclude that an expansion of agricultural societies in Northeast China during the Middle to Late Hongshan (4000–3000 BCE) coincided with the arrival of millet cultivation in eastern Heilongjiang and the Primorye province of the Russian Far East. Our findings support the inland, Manchuria route for the dispersal of millet to the Primorye and suggest that, as well as long-distance cultural exchange, demic diffusion was also involved. Our results are broadly compatible with the farming/language dispersal hypothesis and consistent with a link between the spread of millet farming and proto-Tungusic, the language ancestral to the contemporary Tungusic languages, in late Neolithic Northeast Asia. © 2020 The Author

Local-Global Temporal Difference Learning for Satellite Video Super-Resolution

Optical-flow-based and kernel-based approaches have been widely explored for temporal compensation in satellite video super-resolution (VSR). However, these techniques involve high computational consumption and are prone to fail under complex motions. In this paper, we proposed to exploit the well-defined temporal difference for efficient and robust temporal compensation. To fully utilize the temporal information within frames, we separately modeled the short-term and long-term temporal discrepancy since they provide distinctive complementary properties. Specifically, a short-term temporal difference module is designed to extract local motion representations from residual maps between adjacent frames, which provides more clues for accurate texture representation. Meanwhile, the global dependency in the entire frame sequence is explored via long-term difference learning. The differences between forward and backward segments are incorporated and activated to modulate the temporal feature, resulting in holistic global compensation. Besides, we further proposed a difference compensation unit to enrich the interaction between the spatial distribution of the target frame and compensated results, which helps maintain spatial consistency while refining the features to avoid misalignment. Extensive objective and subjective evaluation of five mainstream satellite videos demonstrates that the proposed method performs favorably for satellite VSR. Code will be available at \url{https://github.com/XY-boy/TDMVSR}Comment: Submitted to IEEE TCSV