64 research outputs found

    The Impact of Minimum Wage Introduction on Characteristics of New Establishments: Evidence from South Korea

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    This paper examines whether imposing minimum wage alters the characteristics of new businesses. Applying a difference-in-differences framework to repeated cross-sectional data of new plants, we explore the impact of minimum wage introduction on characteristics of new plants in South Korea. We first confirm that the minimum wage introduction induced new plants to have higher remuneration to workers. Due to the imposed minimum wage, the new plants tend to start with fewer employees and to equip their employees with more capital. Finally, we find that the minimum wage introduction led to higher labor productivity among entering plants

    Nonlinear Circuits For Signal Generation And Processing In Cmos

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    As Moore's law predicted, transistor scaling has continued unabated for more than half a century, resulting in significant improvement in speed, efficiency, and integration level. This has led to rapid growth of diverse computing and communications technologies, including the Internet and mobile telephony. Nevertheless, we still face the fundamental limit of noise from transistors and passive components. This noise limit becomes more critical at higher frequencies due to the decrease in intrinsic transistor gain as well as with voltage scaling that accompanies the transistor scaling. On the other hand, insufficient transistor gain and breakdown in silicon limits high-power signal generation at sub-millimeter frequencies that is essential in many security and medical applications, including detection of concealed weapons and bio/molecular spectroscopy for drug detection and breath analysis for disease diagnosis. To go beyond these limits, we propose a new circuit design methodology inspired by nonlinear wave propagation. This method is closely related to intriguing phenomena in other disciplines of physics such as nonlinear optics, fluid mechanics, and plasma physics. Based on this, in the first part of this study, we propose a passive 20-GHz frequency divider for the first time implemented in CMOS. This device has close to ideal noise performance with no DC power consumption, which can potentially reduce overall system power and phase noise in high-frequency synthesizers. Next, to achieve sensitivity toward the thermal noise limit, we propose a 10-GHz CMOS noise-squeezing amplifier. This amplifier enhances sensitivity of an input signal in one quadrature phase by 2.5 dB at the expense of degrading the other quadrature component. Lastly, we introduce an LC lattice to generate 2.7 V p[-] p , 6 ps pulses in CMOS using constructive nonlinear wave interaction. The proposed lattice exhibits the sharpest pulse width achieved for high-amplitude pulses (>1 V) in any CMOS processes

    What Is Structural Rationality?

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    The normativity of so-called “coherence” or “structural” requirements of rationality has been hotly debated in recent years. However, relatively little has been said about the nature of structural rationality, or what makes a set of attitudes structurally irrational, if structural rationality is not ultimately a matter of responding correctly to reasons. This paper develops a novel account of incoherence (or structural irrationality), critically examining Alex Worsnip’s recent account. It first argues that Worsnip’s account both over-generates and under-generates incoherent patterns of attitudes, and then proposes an alternative that both avoids these problems and captures a crucial insight behind Worsnip’s account. According to this account, a set of attitudes is incoherent just in case having all of the attitudes in that set is incompatible with reacting to a question in a way that one is, in virtue of having the attitudes, committed to

    Sub-fingerprint masking for a robust audio fingerprinting system in a real-noise environment for portable consumer devices

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    author's final draftThe robustness of audio fingerprinting system in a noisy environment is a principal challenge in the area of content-based music retrieval, especially for use in portable consumer devices. Our new audio fingerprint method using sub-fingerprint masking based on the predominant pitch extraction dramatically increases the accuracy of the audio fingerprinting system in a noisy environment, while requiring much less computing power for matching, compared to the expanded hash table lookup method, where the searching complexity increases by the factor of 33 times the degree of expansion.This research was supported by Konkuk University

    Impact of the conjugation of antibodies to the surfaces of polymer nanoparticles on the immune cell targeting abilities

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    Antibodies have been widely used to provide targeting ability and to enhance bioactivity owing to their high specificity, availability, and diversity. Recent advances in biotechnology and nanotechnology permit site-specific engineering of antibodies and their conjugation to the surfaces of nanoparticles (NPs) in various orientations through chemical conjugations and physical adhesions. This study proposes the conjugation of poly(lactic-co-glycolic acid) (PLGA) NPs with antibodies by using two distinct methods, followed by a comparison between the cell-targeting efficiencies of both techniques. Full-length antibodies were conjugated to the PLGA-poly(ethylene glycol)-carboxylic acid (PLGA-PEG-COOH) NPs through the conventional carbodiimide coupling reaction, and f(abâ€Č)2 antibody fragments were conjugated to the PLGA-poly(ethylene glycol)-maleimide(PLGA-PEG-Mal) NPs through interactions between the f(abâ€Č)2 fragment thiol groups and the maleimide located on the nanoparticle surface. The results demonstrate that the PLGA nanoparticles conjugated with the f(abâ€Č)2 antibody fragments had a higher targeting efficiency in vitro and in vivo than that of the PLGA nanoparticles conjugated with the full-length antibodies. The results of this study can be built upon to design a delivery technique for drugs through biocompatible nanoparticles.This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korean government (MSIT) (NRF-2019R1A4A1028700 and NRF-2019R1C1C1006300). This work was supported by the Fourth Stage of Brain Korea 21 Project of the Department of Intelligent Precision Healthcare and IBS-R015-D1
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