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Nursing is a high-risk occupation with high exposure to stress. The physical and mental health of nurses is directly related to the quality of medical services. Therefore, the sleep quality of nurses should not be ignored. In this study, the method of cluster random sampling was adopted from May to September 2019, and a questionnaire survey was conducted among 521 surgical nurses from five affiliated hospitals of Xinjiang Medical University. The relationship between mental health and sleep quality was analyzed, and 20% of the participants with sleep disorders were randomly selected. The sleep disorders used 1 : 1 matching, finally providing a sample with 60 cases and 60 controls for measurement of the CLOCK gene (rs1801260, rs6850524), to analyze the effect of the interaction between mental health and the CLOCK gene on sleep. The mental health and sleep quality of the surgical nurses were evaluated using the Symptom Checklist 90 (SCL-90) and Pittsburgh Sleep Quality Index (PSQI). The study found that surgical nurses had poor sleep, and there were differences associated with age, years working, frequency of night shifts, and incidence of sleep disorders under marital status (p < 0.05). The PSQI scores of the positive psychological symptoms were higher than those of the negative psychological symptoms. The rank sum test was used to compare the sleep quality scores of different genotypes in CLOCK rs1801260 and rs6850524; the results indicated that the PSQI scores were different among different genotypes at the rs1801260 and rs6850524 loci. The logistic regression results suggested that CLOCK gene rs1801260 (TC) and positive psychological symptoms were influential factors for sleep disorders, and the interaction of positive psychological symptoms ∗ rs1801260 (TT) was a risk factor for sleep disorders (OR = 10.833 , 95% CI: 2.987–39.288). The sleep quality of nurses is not only affected by demographic characteristics but also affected by mental health status and the CLOCK gene. [ABSTRACT FROM AUTHOR]

This work describes a sensitive electrochemical biosensor for detection of carbamate pesticides based on immobilization of acetylcholinesterase (AChE) on the electrochemically inducing porous graphene oxide network (e-pGON) which is prepared by scanning the GO modified electrode using successive cyclic voltammetry method. The e-pGON effectively promotes the electron transfer rate and facilitates the access of substrates to the active centers. The as-prepared biosensor shows high affinity to acetylthiocholine (ATCl) with a Michaelis-Menten constant value of 0.45 mmol L −1 . Under optimum conditions, the inhibition of carbaryl is proportional to its concentration ranging from 0.3 to 6.1 ng/mL. The detection limit is 0.15 ng/mL. The developed biosensor exhibits good performance such as reproducibility and stability, thus providing a promising tool for the analysis of enzyme inhibitors. [ABSTRACT FROM AUTHOR]

• Attack detection of smart home based on Internet of things security architecture • The two-layer data preprocessing method suitable for massive data scene of smart home • Detection model composed of binary classifiers improving the accuracy of malicious behavior With the development of Internet of Things and the increasingly rampant malicious network activities, higher requirements are put forward for security to detect malicious behavior and prevent attackers from obtaining sensitive data in the smart home environment. In this paper, an intrusion detection system is proposed to detect and classify abnormal behavior in the smart home environment. The two-layer feature processing method based on random forest and principal component analysis can reduce the loss of data information and is suitable for massive data. The three-layer detection model can detect four common attacks with binary classifiers and effectively improve the accuracy. The experimental evaluation of the proposed model is conducted using the real smart home traffic dataset and achieves a classification accuracy of 95.90%. The experimental results show that our model has a good performance in detecting and classifying malicious attacks in the smart home. [ABSTRACT FROM AUTHOR]

Presents the results of a study wherein NUCC-3 choriocarcinoma cell line was used as an in vitro placental cell model to investigate the effects of follistatin on GnRH-stimulated human chorionic gonadotropin (hCG) secretion and its subunit mRNA level and stability. Northern hybridization; Second messenger transduction system.

The defect states in optical microcavities are demonstrated to be related to the different confinement states by analyzing the photonic band structure of the equivalent photonic quantumwell structure consisted of a photonic well confined by photonic barriers. Our results indicate that the defect states in optical microcavities could be divided namely into the localized, pseudo-localized, and non-localized modes, and explain the relationship between the localized states in optical microcavities and confinement effects of the electric field in the defect layers. [ABSTRACT FROM AUTHOR]

When viewing the mini‐LED display screen from a large angle, the seam appearing at the edge of the module can disrupt the uniformity of the entire screen's bright state. This paper studies the formation mechanism of bright and dark seam and color seam from the perspectives of spatial frequency and packaging structure, derives the formula for spatial frequency, analyzes the optical path at the splicing position, and designs a reasonable packaging film structure to solve the color seam. [ABSTRACT FROM AUTHOR]

• Factors impacting risky driving behaviors of bus drivers are systematically assessed. • Enterprise management and external environment are related to bus drivers' safety attitudes. • Factors in the study are related to bus drivers' risky driving behaviors in China. • Recommended measures to improve the bus drivers' safety attitudes are put forward. Several studies have shown that enterprise management (e.g. culture, salary) and external environment (e.g. traffic congestion) predict risky driving behaviors and accident involvement. However, this process has not been systematically investigated in bus drivers. The present study uses structural equation model to assess whether enterprise management and external environment are associated with risky self-reported driving behaviors both directly and indirectly, through the effects of attitudes towards traffic safety in a large sample of bus drivers. Three hundred and thirty-one bus drivers (mean age = 39.5, SD = 5.6 years) completed a structured and anonymous questionnaire measuring enterprise management, external environment, attitudes toward traffic safety, and self-reported risky driving behaviors (i.e., speeding, fatigue driving, running the light) in the last 6 months. Structural equation modeling analysis revealed that enterprise management, and external environment were associated with risky driving behaviors both directly and indirectly. In particular both of them were directly correlated with bus drivers' attitudes toward traffic safety which, in turn, were related to the five types of self-reported risky driving behaviors. The present findings suggest that measures related to the impact factors could be carried out to reduce the probabilities of the risky driving behaviors among bus drivers, such as improving the salary level of bus drivers, setting up bus lanes and priority signals to alleviate road congestion, optimizing shift schedules, implementing effective safety education, etc. These findings can provide the empirical basis for evidence-based road safety interventions in the context of public transport. [ABSTRACT FROM AUTHOR]

Background: Nursing is a high-risk occupation that involves exposure to stress. The physical and mental health of nurses is directly related to the quality of medical services, so the quality of life of nurses cannot be ignored. This study is a Chinese nursing study that investigated occupational stress, job burnout, and quality of life of surgical nurses in Xinjiang, China. Methods: This study employed the cluster random sampling method and carried out a questionnaire survey among 488 surgical nurses from five hospitals from May 2019 to September 2019. The study analyzed the relationship between occupational stress, job burnout and quality of life. The Effort-Reward Imbalance questionnaire (ERI), Maslach Burnout Inventory General Survey (MBI-GS) and the 36-item Short Form Health Survey (SF-36) were used to evaluate occupational stress, job burnout and quality of life among surgical nurses. Results: A total of 550 questionnaires were distributed in this study, and 488 were retrieved, with an effective recovery rate of 88.73 %. The results revealed that the quality of life score among surgical nurses was not high, and differences were observed in the quality of life score of patients according to gender, age, title, and frequency of night shifts (P < 0.05). There was a positive correlation between occupational stress and job burnout. Higher levels of occupational stress and job burnout were associated with a poorer quality of life score. Occupational stress and job burnout were identified as risk factors for quality of life, and the interaction between high levels of stress and burnout seriously reduced quality of life. The structural equation model revealed that occupational stress and job burnout had a direct impact on quality of life, occupational stress had a direct impact on job burnout, and job burnout was identified as a mediating factor in the relationship between occupational stress and quality of life. Conclusions: Surgical nurses have a high level of occupational stress and burnout, and low quality of life score. Quality of life is correlated with occupational stress and job burnout. According to the individual characteristics and psychological state of nurses, managers can implement personalized intervention measures promptly and effectively to relieve their tension and burnout, and improve the quality of life of surgical nurses. [ABSTRACT FROM AUTHOR]

Objectives: This study evaluates the accuracy and transferability of Bayesian case detection systems (BCD) that use clinical notes from emergency department (ED) to detect influenza cases. Methods: A BCD uses natural language processing (NLP) to infer the presence or absence of clinical findings from ED notes, which are fed into a Bayesain network classifier (BN) to infer patients’ diagnoses. We developed BCDs at the University of Pittsburgh Medical Center (BCDUPMC) and Intermountain Healthcare in Utah (BCDIH). At each site, we manually built a rule-based NLP and trained a Bayesain network classifier from over 40,000 ED encounters between Jan. 2008 and May. 2010 using feature selection, machine learning, and expert debiasing approach. Transferability of a BCD in this study may be impacted by seven factors: development (source) institution, development parser, application (target) institution, application parser, NLP transfer, BN transfer, and classification task. We employed an ANOVA analysis to study their impacts on BCD performance. Results: Both BCDs discriminated well between influenza and non-influenza on local test cases (AUCs > 0.92). When tested for transferability using the other institution’s cases, BCDUPMC discriminations declined minimally (AUC decreased from 0.95 to 0.94, p<0.01), and BCDIH discriminations declined more (from 0.93 to 0.87, p<0.0001). We attributed the BCDIH decline to the lower recall of the IH parser on UPMC notes. The ANOVA analysis showed five significant factors: development parser, application institution, application parser, BN transfer, and classification task. Conclusion: We demonstrated high influenza case detection performance in two large healthcare systems in two geographically separated regions, providing evidentiary support for the use of automated case detection from routinely collected electronic clinical notes in national influenza surveillance. The transferability could be improved by training Bayesian network classifier locally and increasing the accuracy of the NLP parser. [ABSTRACT FROM AUTHOR]

Abstract: (110)-oriented diamond films were grown by hot-filament chemical vapor deposition method. Microwave assisted hydrogen plasma etching process was used to obtain hydrogen-terminated diamond films. The influence of gas pressure and substrate temperature during hydrogen plasma etching on structural and electrical properties of diamond film was investigated. The ultra-violet Raman spectra showed CHX bond increased with the gas pressure and the substrate temperature. The Hall Effect measurement results showed that the higher CHX bond density led to a higher sheet carrier density and lower sheet resistance, which was helpful for the fabrication of high-frequency and high-power field-effect transistors. [Copyright &y& Elsevier]

Abstract: In many electronic applications, the surface properties of hydrogen-terminated diamond films determine the eventual performance of the electronic device. In this work, diamond films were grown by hot-filament chemical vapor deposition method and hydrogenated films were obtained by hydrogen plasma treatment. X-ray photoelectron spectroscopy analysis was carried out to evaluate the film surface after annealing treatment. The C1s XPS spectrum showed the C1s spectrum changed after annealing treatment. In air atmosphere, hydrogen decreased and oxygen absorption increased. The interaction on the surface changed drastically after annealed in argon atmosphere and phase transition would happen when the annealing temperature increased to 600°C. [Copyright &y& Elsevier]

Abstract: High quality freestanding diamond (FSD) films with smooth nucleation surfaces were grown by microwave plasma chemical vapor deposition (MPCVD) method. A p-type hydrogenated surface conductivity of FSD film was obtained by using hydrogen plasma treatment. The annealing process in vacuum on the p-type behavior of FSD nucleation surfaces was investigated by Hall effect measurement. H-terminated diamond phototransistors were fabricated and the results suggest that they may be ideally suited for ultraviolet (UV) switching applications. [Copyright &y& Elsevier]