The dynamic process of economic takeoff and industrial transformation

This paper studies the patterns and key determinants of staged economic development. We construct a two-sector dynamic general equilibrium model populated with one-period lived non-overlapping generations, featuring endogenous enhancement in modern technology and endogenous accumulation of labor skills and capital funds. We consider preference biases toward the traditional sector of necessities, capital barriers to the modern sector, and imperfect substitution between skilled and unskilled workers. By calibrating the model to �t historic U.S. development, we fi�nd that modern technologies, saving incentives and capital fundings are most important determinants of the takeoff time. By evaluating the process of economic development, we identify that saving incentives is most crucial for the speed of modernization. We also study how labor and capital allocations toward the modern industry respond to various preference, technology and institutional changes. We further establish that labor, capital and output are most responsive to the initial state of modern technologies but least responsive to the initial state of skills, along the dynamic transition path.Economic takeoff and industrial transformation; endogenous skill and technological advancements; saving incentives, preference biases and capital barriers

On the Public Economics of Casino Gambling

This paper studies casino-style gambling from the public economics point of view in a jurisdiction populated by oligopolistically competitive legal casinos. We consider three different regimes: laissez-faire, entry regulation and tax regulation. The model highlights three important external effects from casino-style gambling: non-casino income creation, social disorder costs, and casino exporting to other jurisdictions. In the generalized case with an endogenously-determined ratio of local to total gamblers, we allow the configuration of casinos to be centralized or jurisdiction-wide dispersed. A complete comparison between equilibrium and command optimum outcomes is provided, and the welfare consequences under the three regimes and two casino configurations are examined.Casino gambling, externalities, oligopoly pricing, entry, tax regulation

Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO with Low-Precision ADCs

This paper considers a multiple-input multiple-output (MIMO) receiver with very low-precision analog-to-digital convertors (ADCs) with the goal of developing massive MIMO antenna systems that require minimal cost and power. Previous studies demonstrated that the training duration should be {\em relatively long} to obtain acceptable channel state information. To address this requirement, we adopt a joint channel-and-data (JCD) estimation method based on Bayes-optimal inference. This method yields minimal mean square errors with respect to the channels and payload data. We develop a Bayes-optimal JCD estimator using a recent technique based on approximate message passing. We then present an analytical framework to study the theoretical performance of the estimator in the large-system limit. Simulation results confirm our analytical results, which allow the efficient evaluation of the performance of quantized massive MIMO systems and provide insights into effective system design.Comment: accepted in IEEE Transactions on Signal Processin

Joint Channel-and-Data Estimation for Large-MIMO Systems with Low-Precision ADCs

The use of low precision (e.g., 1-3 bits) analog-to-digital convenors (ADCs) in very large multiple-input multiple-output (MIMO) systems is a technique to reduce cost and power consumption. In this context, nevertheless, it has been shown that the training duration is required to be {\em very large} just to obtain an acceptable channel state information (CSI) at the receiver. A possible solution to the quantized MIMO systems is joint channel-and-data (JCD) estimation. This paper first develops an analytical framework for studying the quantized MIMO system using JCD estimation. In particular, we use the Bayes-optimal inference for the JCD estimation and realize this estimator utilizing a recent technique based on approximate message passing. Large-system analysis based on the replica method is then adopted to derive the asymptotic performances of the JCD estimator. Results from simulations confirm our theoretical findings and reveal that the JCD estimator can provide a significant gain over conventional pilot-only schemes in the quantized MIMO system.Comment: 7 pages, 4 figure

Gender Determination using Fingerprint Features

Several previous studies have investigated the gender difference of the fingerprint features. However, regarding to the statistical significance of such differences, inconsistent results have been obtained. To resolve this problem and to develop a method for gender determination, this work proposes and tests three fingertip features for gender determination. Fingerprints were obtained from 115 normal healthy adults comprised of 57 male and 58 female volunteers. All persons were born in Taiwan and were of Han nationality. The age range was18-35 years. The features of this study are ridge count, ridge density, and finger size, all three of which can easily be determined by counting and calculation. Experimental results show that the tested ridge density features alone are not very effective for gender determination. However, the proposed ridge count and finger size features of left little fingers are useful, achieving a classification accuracy of 75% (P-valu

Automated Audio Generation for Testing Voice Interface Devices

Testing of voice interface devices across multiple languages and locales is difficult due to factors such as the lack of availability of native speakers, inconsistency of human speech samples across languages, difficulty in scaling the number of human-provided query samples, etc. This disclosure describes the use of automated translation and text-to-speech generation technologies to obtain machine-generated audio in various languages. A set of query strings is translated into multiple languages and a text-to-speech synthesizer generates a consistent set of audio samples. The generated audio samples can be used to test voice interface devices

6-Mercaptopurine attenuates tumor necrosis factor-α production in microglia through Nur77-mediated transrepression and PI3K/Akt/mTOR signaling-mediated translational regulation

Physical interaction between Nur77 and p65. BV-2 cells were pretreated with 6-MP (50 μM) for 16 h followed by exposure to LPS (100 ng/ml) for 60 min. Nuclear extracts were harvested for immunoprecipitation (IP) experiments using anti-Nur77 and anti-p65 antibodies. Immunoblot (IB) analyses of the immunoprecipitates were performed using these antibodies. The immunoblots are representative of three independent experiments. (TIF 280 kb