Learning Stability for Monetary Policy Rules in a Two-country Model

This work evaluates whether or not the interest rate rules under different exchange rate regimes lead to a REE that is both locally determinate and stable under adaptive learning by private agents. I find that monetary interdependence among countries is crucial for the determinacy and learning stability of the economy in the open economy case, even without the coordination of the policy makers. Under floating exchange rate regime, both countries should follow aggressive interest rate rules simultaneously , in order to obtain determinate and learnable REE. Furthermore, the openness diminishes the regions for the determinate and learnable rules relative to its closed economy counterpart under the floating regime, while in other exchange rate regime, the additional reaction towards the level or change or nominal exchange rate will enlarge this region

Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning

Magnetic Resonance Fingerprinting (MRF) is a novel technique that simultaneously estimates multiple tissue-related parameters, such as the longitudinal relaxation time T1, the transverse relaxation time T2, off resonance frequency B0 and proton density, from a scanned object in just tens of seconds. However, the MRF method suffers from aliasing artifacts because it significantly undersamples the k-space data. In this work, we propose a compressed sensing (CS) framework for simultaneously estimating multiple tissue-related parameters based on the MRF method. It is more robust to low sampling ratio and is therefore more efficient in estimating MR parameters for all voxels of an object. Furthermore, the MRF method requires identifying the nearest atoms of the query fingerprints from the MR-signal-evolution dictionary with the L2 distance. However, we observed that the L2 distance is not always a proper metric to measure the similarities between MR Fingerprints. Adaptively learning a distance metric from the undersampled training data can significantly improve the matching accuracy of the query fingerprints. Numerical results on extensive simulated cases show that our method substantially outperforms stateof-the-art methods in terms of accuracy of parameter estimation

Electronic Structure in Gapped Graphene with Coulomb Potential

In this paper, we numerically study the bound electron states induced by long range Coulomb impurity in gapped graphene and the quasi-bound states in supercritical region based on the lattice model. We present a detailed comparison between our numerical simulations and the prediction of the continuum model which is described by the Dirac equation in (2+1)-dimensional Quantum Electrodynamics (QED). We also use the Fano's formalism to investigate the quasi-bound state development and design an accessible experiments to test the decay of the supercritical vacuum in the gapped graphene.Comment: 5 page, 4 figure

Animatable 3D Gaussian: Fast and High-Quality Reconstruction of Multiple Human Avatars

Neural radiance fields are capable of reconstructing high-quality drivable human avatars but are expensive to train and render. To reduce consumption, we propose Animatable 3D Gaussian, which learns human avatars from input images and poses. We extend 3D Gaussians to dynamic human scenes by modeling a set of skinned 3D Gaussians and a corresponding skeleton in canonical space and deforming 3D Gaussians to posed space according to the input poses. We introduce hash-encoded shape and appearance to speed up training and propose time-dependent ambient occlusion to achieve high-quality reconstructions in scenes containing complex motions and dynamic shadows. On both novel view synthesis and novel pose synthesis tasks, our method outperforms existing methods in terms of training time, rendering speed, and reconstruction quality. Our method can be easily extended to multi-human scenes and achieve comparable novel view synthesis results on a scene with ten people in only 25 seconds of training

Incremental feedforward collective pitch control method for wind turbines

In recent years, wind turbines are becoming larger, which will exacerbate the complexity of loads Complex load change affect the output power quality and wind turbine service life so that must be studied. Pitch control is usually used to reduce wind turbine load. In this paper, based on the Light Detection and Ranging (LiDAR) technology and incremental feedforward control theory, an incremental feedforward collective pitch controller is proposed. The controller can be directly superimposed on the traditional collective pitch controller so that the incremental pitch angle can fully compensate wind influence. The effectiveness of the controller is verified by multi-software platform joint simulation and hardware-in-the-loop experiment. The results show that the controller can effectively reduce the wind turbine power and load fluctuation when the variation trend of wind speed in the rotor plane estimate by LiDAR data is the same as the actual wind speed

Postoperative ecchymoma of eyelid after botulinum toxin injection for hemifacial spasm: a case report

Hemifacial spasm (HFS) is a rare movement disorder characterized by involuntary muscle contractions on one side of the face. Compared to the high therapeutic effect, adverse effects of botulinum toxin treatment for HFS occurred rarely. However, managing HFS patients who are also taking antithrombotic drugs poses a challenge. Here, we present a case of postoperative ecchymoma of the eyelid following a botulinum toxin injection in a patient receiving daily vinpocetine and aspirin antiplatelet therapy. This case highlights the importance of considering the potential risks and formulating a treatment plan that maximizes benefit while minimizing complications in HFS patients undergoing botulinum toxin injections and taking antithrombotic medications. To the best of our knowledge, this is the first reported case of postoperative ecchymoma of the eyelid following a botulinum toxin injection. Further research and additional case reports are needed to better understand the management strategies for this patient population

Customer Segmentation in Municipal Solid Waste Incineration Market in China

The rapid urbanization industrialization in China have resulted in massive generation of municipal solid waste (MSW) every day, which makes China the largest MSW producer in the world now. Compared to traditional landfill and compost, waste incineration is becoming the main disposal method in China now. In western developed countries, the waste incineration has led to wide-spread production of solid refused fuel (SRF) and its incineration in various types of technical combustion processes. This has created opportunities for western suppliers who provide solutions to SRF production and mechanical treatment (MT). However, due to the unique MSW management system in China, internationalizing such business to Chinese market might be a challenge. The main research question of this thesis is what customer segment the case company could serve the best in the Chinese MSW market. To answer this question, this thesis collects the data involves in the MSW incineration business in Chinese market. The data of around three hundred and sixty Waste-to-Energy (WtE) plants and seventy cement plants with the MSW co-processing line was collected. Based on the data, an industrial customer segmentation framework was created and applied on the collected data of plants. Two variables were applied in segmenting- Industry and company technology. After profiling the segments, it is necessary to evaluate the segments. Two evaluation are made on the two groups of segments – the attractiveness evaluation and the match evaluation. Finally, the segment selection is made based on the result of evaluation. The result of the customer segmentation gives information about the MSW incineration market and the potential customers in the market. By evaluating the attractiveness of the segments with response to the industry variables, the WtE plants in WtE industry shows more market potential while MSW co-processing business in cement industry is cannibalized by co-processing business of hazardous waste and sewage sludge disposal. By evaluating the match of the case company’s capability with segments, the case company recognized the segment they could serve best with the resource. However, the market trends of WtE industry shows that it has strong preference to certain incineration technology that does not require the pre-treatment system that case company can provide. Thus, in Chinese market, thought the MSW incineration industry seems in a growing, the SRF market is still in developing