Channels of Interprovincial Consumption Risk Sharing in the People’s Republic of China

This paper analyzes consumption risk sharing among provinces in the People’s Republic of China (PRC) during 1980–2007. The analysis finds that 9.4% of shocks to gross provincial product are smoothed by the interprovincial fiscal transfer system. This system also cushions a relatively large percentage of province-specific shocks in coastal areas. Using a variety of indicators, we explored nonfiscal channels of consumption risk sharing. We found that the migration of rural labor to urban areas and the remittance of migrant wages play an important role in promoting interprovincial consumption risk sharing in inland PRC provinces. In contrast, the extent of risk sharing through financial intermediation and capital markets is very limited. These factors have resulted in a low degree of risk sharing among provinces, especially during the last decade.prc provinces; interprovincial fiscal transfers; consumption risk sharing

Modeling material failure in concrete structures under cyclic actions

A constitutive model devised for the analysis of concrete structures, and suitable for generic two- or three-dimensional applications, is presented and validated. For plain concrete a tension-compression distinguishing stress split is performed, and two scalar damage variables account for the degradation induced by the tensile and compressive stress components. As outcomes the model reproduces the stiffness recovery upon load reversal, and it captures the strength enhancement under multiaxial compression. Besides, the simple formulation as well as the extremely reduced number of parameters involved in the concrete model makes it quite suitable for the analysis of real structures, and constitutes a useful design tool. As regards to the nonlinear performance of the steel reinforcement, the explicit Giuffrè–Menegotto–Pinto model is adopted. Efficiency of the global model is illustrated via two seismic applications: one concerning an arch dam, and the other a six-floor reinforced concrete wall. The latter application is presented for validation purposes

Observações de cetáceos por iatistas no Atlântico Norte : um estudo piloto.

In the summer of 1998, yachtsmen sailing from the Caribbean to the Azores were encouraged to take part in an Atlantic cetacean survey. The principle aim of this project was to evaluate the potential of using regular seafarers as sources of data on cetacean distribution. Identification guides and sighting forms were distributed and participants were asked to record any cetacean sightings as well as to conduct routine set-effort watches. A secondary aim of the project was to investigate reports of illegal whaling in the Atlantic. Data collected from the yachtsmen reveal a concentration of sightings along the mid- Atlantic ridge, perhaps corresponding to an increase in productivity in this area. No further reports of whaling activity were made. Although this work only involves a small data set, it illustrates how useful yachtsmen can be in assisting research in otherwise inaccessible regions. Future involvement of yachtsmen in cetacean surveying should be encouraged, as long-term data sets gathered in this way can be invaluable in revealing offshore trends

Localization of SUMO-modified Proteins Using Fluorescent Sumo-trapping Proteins

Here we are presenting a novel method to study the sumoylation of proteins and their sub-cellular localization in mammalian cells and nematode oocytes. This method utilizes a recombinant modified SUMO-trapping protein fragment, kmUTAG, derived from the Ulp1 SUMO protease of the stress-tolerant budding yeast Kluyveromyces marxianus. We have adapted the properties of the kmUTAG for the purpose of studying sumoylation in a variety of model systems without the use of antibodies. For the study of SUMO, KmUTAG has several advantages when compared to antibody-based approaches. This stress-tolerant SUMO-trapping reagent is produced recombinantly, it recognizes native SUMO isoforms from many species, and unlike commercially available antibodies it shows reduced affinity for free, unconjugated SUMO. Representative results shown here include the localization of SUMO conjugates in mammalian tissue culture cells and nematode oocytes

Demystifying Event-based Sensor Biasing to Optimize Signal to Noise for Space Domain Awareness

Neuromorphic dynamic vision sensors (DVS), often called event-based sensors (EBS), are a novel class of cameras that have recently shown potential to make a significant impact in the SDA community. Their biologically-inspired design simultaneously achieves high temporal resolution, wide dynamic range, low power consumption and sparse data output, making them an ideal fit for space applications. Although initial results for SDA are promising, they typically exhibit elevated noise rates in dim conditions and have thus far failed to outperform conventional cameras in terms of limiting visual magnitude and sensitivity with high telescope scan rates. A hurdle for widespread adoption is a lack of general guidance regarding optimal camera biases (settings) for SDA. Prior studies either serve as proof of concept or focus on algorithm development; however, to date, none have provided detailed guidance on biasing EBS to optimize signal to noise ratio (SNR) for SDA tasks. The goal of this paper is to narrow the knowledge gap between EBS pixel biasing and resulting performance to optimize their capabilities for SDA. To accomplish this, we adopt a bottom-up approach, revisiting the pixel architecture to consider physics-based performance limitations. In an EBS, each pixel responds autonomously, generating "events" in response to local brightness changes within its field of view (FOV), and outputs a sparse representation of the visual scene where each event is encoded by a pixel address (x,y), a microsecond resolution timestamp (t), and a single bit polarity value (p) indicating either an increase or decrease in brightness by a defined threshold. In most camera models, behavior is fine-tuned by adjusting roughly a half-dozen biases, including threshold levels (sensitivity), bandwidth (speed of the front-end photoreceptor), and refractory period (dead-time between events in a given pixel). These parameters make EBS cameras adaptable for varied applications, but many degrees of freedom presents a challenge for optimization. Researchers unfamiliar with the technology can be overwhelmed by the myriad of biasing options and must either rely on a prescribed set of biases or manually adjust them to achieve desired performance; the latter is not typically recommended for non-experts due to 2nd-order effects such as excessive noise rates. Manufacturer default biases are considered optimized for a broad range of applications, but recent studies have demonstrated non-conventional bias techniques can significantly reduce background noise in dim conditions while still retaining signal, suggesting that SDA capabilities could be improved by a more sophisticated biasing strategy. By conducting a detailed study of how sensitivity, response speed, and noise rates scale with varied bias configurations, we aim to approach an optimal SNR bias configuration and demonstrate the maximal capabilities of current generation COTS EBS cameras for SDA. To systematically analyze and benchmark performance against a calibrated and repeatable stimulus, we developed a custom SDA test-bench to simulate stars/satellites as sub-pixel point source targets of variable speed and brightness. The set-up includes an integrating light box to provide a calibrated flat-field illumination source, a custom 170 mm radius anodized aluminum disk with precision drilled holes of diameters ranging from 100 to 250 microns, and a digitally programmable motor capable of precise speed control from ~0.1 to 800 RPM. The disk is backlit by the flat-field illumination source and connected to the motor shaft, and a 7 x 10 cm region is viewed through a Fujinon 1:1.8/7-70mm CS mount lens at a distance of 50 cm. The FOV and zoom are chosen such that the dimension of the largest holes is still sub-pixel in diameter when in focus. Even with the ability to rapidly collect measurements with this setup, the overall parameter space is still too large to fully explore without any a-priori knowledge about how the sensor responds to signal and noise, and how this depends on biases. As a result, we consider fundamental pixel behaviors to devise an efficient test strategy. We first consider strategies to limit noise rates, as these can overwhelm sensor readout when the background is dark. In prior work, this was presumably accomplished by either reducing the bandwidth biases or increasing threshold biases, but these approaches inherently limit signal. Instead of this naive approach, we draw inspiration from two recent studies: the first demonstrated an optimal balance between two bandwidth related biases accessible in some camera prototypes, and the second relies on a key observation about the statistical distribution of noise events to devise two additional biasing techniques to enhance SNR by allowing either lower thresholds or broader bandwidth settings. Using these techniques as a starting point, we examine the performance the DAVIS346 EBS. We first report baseline performance using manufacturer default biases. To quantify performance, we measure sensitivity (dimmest point source detected) and bandwidth (fastest point source detected). Next, we tune bias settings with specific detection goals (i.e. maximum velocity and/or minimum brightness) and analyze the results. Finally, we apply newly developed low-noise bias techniques and attempt to identify general principles that can be applied universally to any EBS camera to improve performance in SDA tasks. This paper provides a baseline for understanding EBS performance characteristics and will significantly lower the entry barrier for new researchers in the field of event-based SDA. More importantly, it adds insight for optimizing EBS behavior for SDA tasks and demonstrates the absolute performance limits of current generation cameras for detecting calibrated point source targets against a dark background. Finally, this study will enable follow-on work including the development of customized denoising, detection, and tracking algorithms that consider signal response and noise statistics as a function of the selected camera and bias configuration