Развитие китайско-российской дипломатии на высшем уровне

During the reign of the third generation of central collective leadership with Jiang Zemin as the core, the mechanism of mutual visits between presidents of China and Russia was established, which promoted the continuous development of Sino-Russian relations. The fourth generation of leadership with Hu Jintao as the core consolidated and improved Sino-Russian summit diplomacy with both formal visits and informal meetings. The fifth generation of leadership with Xi Jinping as the core have made visits between China and Russia more frequent. The two countries closely cooperate and support each other in major international affairs. Sino-Russian summit diplomacy has been developing and maturing in practice.В период правления третьего поколения центрального рукодства во главе с Цзян Цзэминем был создан механизм взаимных визитов президентов Китая и России, который способствовал непрерывному развитию китайско-российских отношений. Четвертое поколение руководства во главе с Ху Цзиньтао обеспечило консолидацию и улучшение китайско-российской дипломатии на высшем уровне с системой официальных визитов и неофициальных встреч. Пятое поколение руководства, возглавляемое Си Цзиньпином, сделало визиты между Китаем и Россией более частыми. Две страны тесно сотрудничают и поддерживают друг друга в важных международных делах. Китайско-российская дипломатия на высшем уровне постоянно развивается и достигает зрелости в своей практической реализации

Glioblastoma Stem Cells

Glioblastoma multiforme(GBM) is the most common and malignant primary brain tumor in humans. GBM accounts for 55% of all primary brain cancers, with a median survival rate of 14.6 months. The grim prognosis of GBM can be attributed to glioma stem cells (GSCs), which initiate tumor formation through the stem-like properties of self-renewal and differentiation. The ability of GSCs to resist radiation and chemotherapy contributes to the high rate of tumor recurrence in GBM patients. Consequently, novel therapies that effectively target the population of GSCs are of vital importance. A promising is to induce the differentiation of GSCs. Previous studies show that inactivation of gene X enhances self-renewability in embryonic stem cells. Therefore, we hypothesized that gene X facilitates the resolution from self-renewability toward differentiation in GSCs. In order to test this hypothesis, we made DNA constructs that overexpress or knockdown gene X. To overexpress gene X, the coding sequence was cloned into a shuttle vector pSKSP, and then sub-cloned into a lentiviral vector CSC. To knockdown gene X, the shRNA oligos were first cloned under the control of the U6 promoter. The U6-shRNA was then cloned into a lentiviral vector pHIV. After confirmation by sequencing, maxiprep of the DNA constructs was performed. These constructs will be used to overexpress or knockdown gene X in GSCs to test GSC self-renewal and differentiation

Is I-Voting I-Llegal?

The Voting Rights Act was passed to prevent racial discrimination in all voting booths. Does the existence of a racial digital divide make Internet elections for public office merely a computer geek\u27s pipe dream? Or can i-voting withstand scrutiny under the current state of the law? This i-Brief will consider the current state of the law, and whether disproportionate benefits will be enough to stop this extension of technology dead in its tracks

Grassland greening and water resource availability may coexist in a warming climate in Northern China and the Tibetan Plateau

Greening of Northern China and the Tibetan Plateau (NCTP) has been observed by increases in the remotely sensed leaf area index (LAI), driven primarily by CO2 fertilization effects, anthropogenic warming, and the implementation of ecological restoration programs. Continued growth of LAI throughout the 21st century is also projected by the Coupled Model Intercomparison Project Phase 6 (CMIP6) scenarios. However, the question of whether local water resources can sustain ongoing grassland greening has not been adequately investigated. Here we assessed the sustainability of water resources under grassland greening across NCTP under various climate scenarios using water yield (WY, defined as precipitation minus actual evapotranspiration) as the key metric. Unexpectedly, we observe the coexistence of increases in LAI and WY in most of NCTP. In a warming climate with increasing precipitation and CO2, we find that grasses maintain high water use efficiency to sustain their growth, contributing to continued local water resource availability. Thus, livestock production may also continue to increase under the simultaneous growth of LAI and WY in the future

A study of health effects of long-distance ocean voyages on seamen using a data classification approach

Background: Long-distance ocean voyages may have substantial impacts on seamen’s health, possibly causing malnutrition and other illness. Measures can possibly be taken to prevent such problems from happening through preparing special diet and making special precautions prior or during the sailing if a detailed understanding can be gained about what specific health effects such voyages may have on the seamen. Methods: We present a computational study on 200 seamen using 41 chemistry indicators measured on their blood samples collected before and after the sailing. Our computational study is done using a data classification approach with a support vector machine-based classifier in conjunction with feature selections using a recursive feature elimination procedure. Results: Our analysis results suggest that among the 41 blood chemistry measures, nine are most likely to be affected during the sailing, which provide important clues about the specific effects of ocean voyage on seamen’s health. Conclusions: The identification of the nine blood chemistry measures provides important clues about the effects of long-distance voyage on seamen’s health. These findings will prove to be useful to guide in improving the living and working environment, as well as food preparation on ships

SkyLens: Visual analysis of skyline on multi-dimensional data

Skyline queries have wide-ranging applications in fields that involve multi-criteria decision making, including tourism, retail industry, and human resources. By automatically removing incompetent candidates, skyline queries allow users to focus on a subset of superior data items (i.e., the skyline), thus reducing the decision-making overhead. However, users are still required to interpret and compare these superior items manually before making a successful choice. This task is challenging because of two issues. First, people usually have fuzzy, unstable, and inconsistent preferences when presented with multiple candidates. Second, skyline queries do not reveal the reasons for the superiority of certain skyline points in a multi-dimensional space. To address these issues, we propose SkyLens, a visual analytic system aiming at revealing the superiority of skyline points from different perspectives and at different scales to aid users in their decision making. Two scenarios demonstrate the usefulness of SkyLens on two datasets with a dozen of attributes. A qualitative study is also conducted to show that users can efficiently accomplish skyline understanding and comparison tasks with SkyLens.Comment: 10 pages. Accepted for publication at IEEE VIS 2017 (in proceedings of VAST

Modeling User Expertise in Folksonomies by Fusing Multi-type Features

Abstract. The folksonomy refers to the online collaborative tagging system which offers a new open platform for content annotation with uncontrolled vocabulary. As folksonomies are gaining in popularity, the expert search and spammer detection in folksonomies attract more and more attention. However, most of previous work are limited on some folksonomy features. In this paper, we introduce a generic and flexible user expertise model for expert search and spammer detection. We first investigate a comprehensive set of expertise evidences related to users, objects and tags in folksonomies. Then we discuss the rich interactions between them and propose a unified Continuous CRF model to integrate these features and interactions. This model's applications for expert recommendation and spammer detection are also exploited. Extensive experiments are conducted on a real tagging dataset and demonstrate the model's advantages over previous methods, both in performance and coverage