Quasi-Continuous Vector Fields on RCD Spaces

In the existing language for tensor calculus on RCD spaces, tensor fields are only defined m-a.e. In this paper we introduce the concept of tensor field defined \u20182-capacity-a.e.\u2019 and discuss in which sense Sobolev vector fields have a 2-capacity-a.e. uniquely defined quasi-continuous representative

Wages, prices, and living standards in China, 1738-1925: in comparison with Europe, Japan, and India

The paper develops data on the history of wages and prices in Beijing, Canton, Suzhou/Shanghai in China from the eighteenth century to the twentieth and compare them with leading cities in Europe, Japan and India in terms of nominal wages, the cost of living, and the standard of living. In the eighteenth century, the real income of building workers in Asia was similar to that of workers in the backward parts of Europe but far behind that in the leading economies in northwestern Europe. Real wages declined in China in the eighteenth and early nineteenth centuries and rose slowly in the late nineteenth and early twentieth with little cumulative change for two hundred years. The income disparities of the early twentieth century were due to long run stagnation in China combined with industrialization in Japan and Europe.

Neuroprotective effects of blockers for T-type calcium channels

Cognitive and functional decline with age is correlated with deregulation of intracellular calcium, which can lead to neuronal death in the brain. Previous studies have found protective effects of various calcium channel blockers in pathological conditions. However, little has been done to explore possible protective effects of blockers for T-type calcium channels, which forms a family of FDA approved anti-epileptic drugs. In this study, we found that neurons showed an increase in viability after treatment with either L-type or T-type calcium channel antagonists. The family of low-voltage activated, or T-type calcium channels, comprise of three members (Cav3.1, Cav3.2, and Cav3.3) based on their respective main pore-forming alpha subunits: α1G, α1H, and α1I. Among these three subunits, α1H is highly expressed in hippocampus and certain cortical regions. However, T-type calcium channel blockers can protect neurons derived from α1H-/- mice, suggesting that neuroprotection demonstrated by these drugs is not through the α1H subunit. In addition, blockers for T-type calcium channels were not able to confer any protection to neurons in long-term cultures, while blockers of L-type calcium channels could protect neurons. These data indicate a new function of blockers for T-type calcium channels, and also suggest different mechanisms to regulate neuronal survival by calcium signaling pathways. Thus, our findings have important implications in the development of new treatment for age-related neurodegenerative disorders

MopEye: Monitoring Per-app Network Performance with Zero Measurement Traffic

Mobile network performance measurement is important for understanding mobile user experience, problem diagnosis, and service comparison. A number of crowdsourcing measurement apps (e.g., MobiPerf [4, 6] and Netalyzr [5, 7]) have been embarked for the last few years. Unlike existing apps that use active measurement methods, we employ a novel passive-active approach to continuously monitor per-app network performance on unrooted smartphones without injecting additional network traffic. By leveraging the VpnService API on Android, MopEye, our measurement app, intercepts all network traffic and then relays them to their destinations using socket APIs. Therefore, not only MopEye can measure the round-trip time accurately, it can do so without injecting additional traffic. As a result, the bandwidth cost (and monetary cost of data usage) for conducting such a measurement is eliminated, and the measurement can be conducted free of user intervention. Our evaluation shows that MopEye's RTT measurement is very close to result of tcpdump and is more accurate than MobiPerf. We have used MopEye to conduct a one-week measurement revealing multiple interesting findings on different apps' performance.Comment: This is the copy of our CoNEXT'15 poster, published in December 1, 2015. MopEye is available on Google Play at https://play.google.com/store/apps/details?id=com.mopey

MopEye: Opportunistic monitoring of per-app mobile network performance

National Research Foundation (NRF) SingaporeSee data at https://mopeye.github.io</p