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Background: To identify work–family balance and level of happiness among married women dental hygienists in Seoul and Gyeonggi Province. The goal of this study is to use the outcome as basic data to determine the compatibility of dental hygienists with work and family, systems, and improvement of happiness levels.Methods: From July 3 to August 10, 2020, 250 dental hygienists in Seoul and Gyeonggi Province were targeted. The questionnaire comprised 65 questions, including general characteristics (perception of work–family balance, perception of work–family balance system, job satisfaction, parenting type, happiness level) whether or not they were implemented. The results were obtained through a self-control questionnaire.Results: The perception of work–family balance was significantly different in job rank and average income, while that of the work–family balance system had significant differences in workplace type, total work experience, current job work experience, childcare system status, and parental leave period. Happiness level and job satisfaction were significantly different in job rank, average income, and childcare system status. Additionally, the perception of work–family balance and that of the work–family balance system showed a positive correlation with job satisfaction and happiness level. Finally, the perception of married women dental hygienists toward work–family compatibility was determined, where the higher the satisfaction with the job, the higher the level of happiness.Conclusion: To improve the work–family balance and job satisfaction of dental hygienists and their levels of happiness, changes in social perception and improvement of the working environment such as proper staffing, flexible work systems, and incentive systems should be considered.

Increasing the efficiency of HR (homologous recombination) is important for a successful knock-in. Rad51 is mainly involved in homologous recombination and is associated with strand invasion. The HR-related mismatch repair system maintains HR fidelity by heteroduplex rejection and repair. Therefore, the purpose of this study is to control Rad51, which plays a critical role in HR, through UV-induced DNA damage. It is also to confirm the effect on the expression of MMR related genes (Msh2, Msh3, Msh6, Mlh1, Pms2) and HR-related genes closely related to HR through treatment with the MMR inhibitor CdCl2. The mRNA expression of Rad51 gene was confirmed in both HC11 cells and mouse testes, but the mRNA expression of Dmc1 gene was confirmed only in mouse testes. The protein expression of Rad51 and Dmc1 gene increased in UV-irradiated HC11 cells. After 72 hours of treatment with 1 μm of CdCl2, the mRNA expression level of Msh3, Pms2, and Rad51 decreased, but the mRNA expression level of Msh6 and Mlh1 increased in HC11 cells. There was no significant difference in Msh2 mRNA expression between CdCl2 untreated-group and the 72 hours treated group. In conclusion, HR-related gene (Rad51) was increased by UV-induced DNA damage. Treatment of the MMR inhibitor CdCl2 in HC11 cells decreased the mRNA expression of Rad51.

Polyhexamethylene guanidine phosphate (PHMG-p), a humidifier disinfectant, is known to cause lung toxicity, including inflammation and pulmonary fibrosis. In this study, we aimed to investigate the effect of PHMG-p on human lung tissue models (2D epithelial cells and 3D organoids) under conditions of oxidative stress and viral infection. The effect of PHMG-p was studied by evaluating the formation of stress granules (SGs), which play a pivotal role in cellular adaptation to various stress conditions. Under oxidative stress and respiratory syncytial virus (RSV) infection, exposure to PHMG-p remarkably increased eIF2α phosphorylation, which is essential for SG-related signalling, and significantly increased SG formation. Furthermore, PHMG-p induced fibrotic gene expression and caused cell death due to severe DNA damage, which was further increased under oxidative stress and RSV infection, indicating that PHMG-p induces severe lung toxicity under stress conditions. Taken together, toxicity evaluation under various stressful conditions is necessary to accurately predict potential lung toxicity of chemicals affecting the respiratory tract.

In a non-orthogonal multiple access (NOMA) environment, an Internet of Things (IoT) device achieves a high data rate by increasing its transmission power. However, excessively high transmission power can cause an energy outage of an IoT device and have a detrimental effect on the signal-to-interference-plus-noise ratio of neighbor IoT devices. In this paper, we propose a neighbor-aware NOMA scheme (NA-NOMA) where each IoT device determines whether to transmit data to the base station and the transmission power at each time epoch in a distributed manner with the consideration of its energy level and other devices’ transmission powers. To maximize the aggregated data rate of IoT devices while keeping an acceptable average energy outage probability, a constrained stochastic game model is formulated, and the solution of the model is obtained using a best response dynamics-based algorithm. Evaluation results show that NA-NOMA can increase the average data rate up to 22% compared with a probability-based scheme while providing a sufficiently low energy outage probability (e.g., 0.05).

Mycoplasma hominis can cause life-threatening central nervous system infections in neonates following intrauterine infection or during delivery. In newborns, the diagnosis and treatment of M. hominis meningitis are challenging, because cultures are often negative and the bacterium is not susceptible to empirical antibiotics. Herein, we describe a case of neonatal M. hominis meningitis diagnosed using real-time polymerase chain reaction (RT-PCR) and treated with ciprofloxacin. The patient was a 3-day-old female hospitalized for a fever and lethargy. Her blood laboratory findings were non-specific; cerebrospinal fluid (CSF) examination showed a white blood cell count of 580/µL and indicated meningitis. Her symptoms could not be controlled with empirical antibiotics. Urine culture on a special medium revealed ciprofloxacinsusceptible M. hominis. Furthermore, the RT-PCR performed with the CSF sample revealed M. hominis. Therefore, the patient was administered ciprofloxacin; after 2 days, the fever subsided. The patient was discharged on day 30 without complications. [ABSTRACT FROM AUTHOR]

An edge computing system is a distributed computing framework that provides execution resources such as computation and storage for applications involving networking close to the end nodes. An unmanned aerial vehicle (UAV)-aided edge computing system can provide a flexible configuration for mobile ground nodes (MGN). However, edge computing systems still require higher guaranteed reliability for computational task completion and more efficient energy management before their widespread usage. To solve these problems, we propose an energy efficient UAV-based edge computing system with energy harvesting capability. In this system, the MGN makes requests for computing service from multiple UAVs, and geographically proximate UAVs determine whether or not to conduct the data processing in a distributed manner. To minimize the energy consumption of UAVs while maintaining a guaranteed level of reliability for task completion, we propose a stochastic game model with constraints for our proposed system. We apply a best response algorithm to obtain a multi-policy constrained Nash equilibrium. The results show that our system can achieve an improved life cycle compared to the individual computing scheme while maintaining a sufficient successful complete computation probability.

In low-power wide area networks (LPWAN), a considerable number of end devices (EDs) communicate with the gateway in a certain area, whereas for transmitted data, a low data rate and high latency are allowed. Long-range (LoRa), as one of the LPWAN technologies, considers pure ALOHA and chirp spread spectrum (CSS) in the media access control (MAC) and physical (PHY) layers such that it can improve the energy efficiency while mitigating inter-cell interference (ICI). This paper investigates the system throughput of LoRa networks under the assumption that the interferences between EDs for exclusive regions are ignored using CSS. In order to establish an analytical model for the performance of LoRa, we introduce the pure ALOHA capture model, which is the power threshold model. For this model, we assume that the interfering power is proportional to the length of the time overlapped. In addition, we discuss LoRa gain by comparing the total throughput of LoRa with that of non-CSS.

This study aims to evaluate the long-range transport of CO2 in East Asian region, using concentration data in a surface measurement site (Gosan Station), column averaged concentration data of satellite-borne instrument (GOSAT), and GEOS-Chem modeling results for the period of June 2009 to May 2011. We perform a validation of the data from GOSAT and GEOS-Chem with total column observations (TCCON). The analysis of the long-range transport and high concentration (HC) events using surface/satellite observations and modeling results is conducted. During the HC events, the concentrations in CO2 and other air pollutants such as SO2 and CO are higher than that of all episodes. It means that CO2, known as a globally well-mixed gas, may also act as a fingerprint of human activity with unique regional characteristics like other air pollutants. This comprehensive analysis, in particular with GOSAT CO2 observation data, shows that CO2 plume with high concentration can be long-range transported with 1-2 days’ duration with regional scale. We can find out with GEOS-Chem tagging simulation that more than 45% of the elevated CO2 concentration over central/eastern China, Korea, and Japan on high concentration days can be explained by emission sources of East Asia mainland.

Purpose: We evaluated three different blood glucose self-monitoring for measuring whole blood glucose levels at the point of care in preterm and low-birth-weight infants. Methods: Between December 1, 2012 and March 31, 2013, 230 blood samples were collected from 50 newborns, who weighed, ⩽2,300 g or were ⩽36 weeks old, in the the neonatal intensive care unit of Eulji University Hospital. Three blood glucose self-monitoring (A: Precision Pcx; B: One-Touch Verio; C: LifeScan SureStep Flexx) were used for the blood glucose measurements. The results were compared to those obtained using laboratory equipment (D: Advia chemical analyzer). Results: Using Pearson correlation analysis, the correlation coefficients of the three blood glucose selfmonitoring (A, B, and C) were found to be 0.888, 0.884, and 0.900, respectively. For glucose levels ⩽60 mg/dL, the corresponding correlation coefficients were 0.674, 0.687, and 0.679, respectively. For glucose levels>60 mg/dL, the corresponding correlation coefficients were 0.822, 0.819, and 0.839, respectively. All correlations were significant, although the values from the blood glucose selfmonitoring (A, B, and C) did not significantly differ (paired t test), after correcting for each device's average value. When using laboratory equipment (blood glucose ⩽60 mg/dL), each device (A, B, and C) had a sensitivity of 0.458, 0.604, and 0.688, respectively, and a specificity of 0.995, 0.989, and 0.989, respectively. Conclusion: The correlation between the measured values from blood glucose self-monitoring and laboratory equipment is lower in preterm or low-birth-weight infants than in adults; this difference is even greater under hypoglycemic conditions. [ABSTRACT FROM AUTHOR]