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Current status and management of fluvalinate resistance of Varroa mites in Korea
Susie Cho,Joonhee Lee,Youngcheon Lim,Jonghyeok Lee1,Si Hyeock Lee 한국응용곤충학회 2023 한국응용곤충학회 학술대회논문집 Vol.2023 No.10
The Varroa mite, Varroa destructor is an ectoparasite that parasitizes honey bees. The widespread usage of acaricides, particularly fluvalinate, has resulted in the emergence of resistance in Varroa mite populations all over the world. The goal of this study is to track fluvalinate resistance in Varroa mite field populations in Korea using both bioassay and molecular markers. To accomplish this, a residual contact vial (RCV) bioassay for on-site resistance monitoring was developed. Early mortality evaluation in the RCV bioassay was effective for reliably separating mites with the knockdown resistance (kdr) genotype, but late mortality evaluation was useful for distinguishing mites with additional resistance factors. The RCV bioassay of 14 field mite populations collected in 2021 revealed potential resistance development in four populations. Quantitative sequencing was used as an alternate method to examine the frequency of the L925I/M mutation in the voltage-gated sodium channel (vgsc), which is related with the fluvalinate kdr phenotype. While the mutation was not present in Varroa mite populations in 2020, it appeared in 2021, rose in frequency in 2022, and was practically ubiquitous across the country by 2023. This recent emergence and rapid spread of fluvalinate resistance within a span of three years demonstrate the Varroa mite's significant potential for developing resistance. This situation emphasizes the critical necessity to replace fluvalinate with alternate acaricides, such as fenpyroximate, coumaphos, and amitraz. A few novel vgsc mutations potentially involved in resistance were identified. Potential factors driving the rapid expansion of resistance were further discussed.
Cho Hye-Yeon,Hwang Yoonbin,Shin SuHwan,Yoon Susie,이호진 대한마취통증의학회 2022 Korean Journal of Anesthesiology Vol.75 No.5
Background: Due to its abuse potential, propofol has been classified as a controlled substance since February 2011 in South Korea. Healthcare workers are exposed to propofol abuse considering their easy access to this substance in hospitals. Therefore, we aimed to investigate propofol abuse among healthcare workers through the database of the Supreme Court in South Korea. Methods: We retrospectively analyzed adjudicated criminal cases related to propofol abuse among healthcare workers from January 1, 2013, to December 31, 2020, using the database of the Supreme Court of South Korea’s judgments. We collected the clinical characteristics and punishment-related information of healthcare workers who abused propofol. Results: Of the 194 cases collected using the search term ‘propofol,’ 20 were included in the final analysis. The most common healthcare workers who abused propofol were nursing aides (n = 15). Among them, 40% (n = 8) of the defendants had previously been punished for substance abuse, and 35% (n = 7) had a history of psychological disease. Of the defendants, 65% (n = 13) self-administered propofol more than twice, and the median number of self-administrations was three. Except for two, the defendants were sentenced to imprisonment, including suspended sentences, and the median values of their duration of prison and probation were 9 months and 24 months. Conclusions: Despite propofol being strongly regulated as a controlled substance in South Korea, its abuse among healthcare workers remains. Healthcare workers should be vigilant against its abuse among themselves.
A 4×32-Channel Neural Recording System for Deep Brain Stimulation Systems
Susie Kim,Seung-In Na,Youngtae Yang,Hyunjong Kim,Taehoon Kim,Jun Soo Cho,Jinhyung Kim,Jin Woo Chang,Suhwan Kim 대한전자공학회 2017 Journal of semiconductor technology and science Vol.17 No.1
In this paper, a 4×32-channel neural recording system capable of acquiring neural signals is introduced. Four 32-channel neural recording ICs, complex programmable logic devices (CPLDs), a micro controller unit (MCU) with USB interface, and a PC are used. Each neural recording IC, implemented in 0.18 mm CMOS technology, includes 32 channels of analog front-ends (AFEs), a 32-to-1 analog multiplexer, and an analog-to-digital converter (ADC). The midband gain of the AFE is adjustable in four steps, and have a tunable bandwidth. The AFE has a mid-band gain of 54.5 dB to 65.7 dB and a bandwidth of 35.3 Hz to 5.8 kHz. The high-pass cutoff frequency of the AFE varies from 18.6 Hz to 154.7 Hz. The input-referred noise (IRN) of the AFE is 10.2 mVrms. A high-resolution, low-power ADC with a high conversion speed achieves a signal-to-noise and distortion ratio (SNDR) of 50.63 dB and a spurious-free dynamic range (SFDR) of 63.88 dB, at a sampling-rate of 2.5 MS/s. The effectiveness of our neural recording system is validated in in-vivo recording of the primary somatosensory cortex of a rat.