Objectives:The authors used the National Aeronautics and Space Administration Task Load Index (NASA-TLX) and general health questionnaire to analyze the factors influencing the mental health status and the workload of support nurses during the COVID-19 epidemic. Material and Methods:The authors conducted a cross-sectional survey of 349 support nurses in April-October 2022.Using QuestionStar, a powerful online survey tool, the authors administered surveys to the participants, collected data on the mental health status and workload of support nurses, and analyzed the influencing factors based on the collected data.Results: A total of 316 questionnaires were successfully collected, with an effective rate of 98.75%.The proportion of support nurses with mental health problems was 25% and the value of the NASA-TLX questionnaire was: M±SD 68.91±7.28pts.Multi-factor analysis revealed that the number of children, family support, and nursing support location were the influencing factors of mental health status, while the multivariate analysis revealed that the presence of symptoms, nursing support location, support work type, and total 12-item General Health Questionnaire (GHQ-12) score were the influencing factors of the workload of support nurses.Conclusions: Compared to their counterparts in the plains, nurses working in isolated plateau regions who were caring for children and lacked family support, were more likely to have mental health issues.There was a positive correlation between the changes in GHQ-12 and NASA-TLX scores of the study participants.Compared to their counterparts in the plains and the tropical regions, nurses working in plateau regions had a heavier workload.As part of the follow-up measures to prevent and treat patients impacted by the COVID-19 epidemic, it is important to improve the mental health evaluation, consultation, and treatment of the support nurses to guarantee the high quality of the first-line support work.
Magnetic fields simulating EEG rhythm were used to stimulate Wistar rats to explore the effect of magnetic field on retrieval (recall) ability and its mechanism. The results indicated that most of the weak magnetic fields (>10 minutes) simulating the EEG rhythm of human brain impaired the retrieval of long-term memory significantly (P<0.05), but weak magnetic field with special rhythm may even have the capability of facilitating memory performance. And the effects of TMS on memory can last for at least several hours (5h) after TMS. Compared with control group, the release of NE, DA and 5-HT in hippocampus of stimulated group increased (P<0.05); While the release of ACh decreased (P<0.05). Through electronic microscope, morphological changes of nerve synapses in hippocampus of rats were observed after weak magnetic stimulation. The percentage of alpha and beta rhythm in EEG power spectra changed in cats after induced by weak magnetic fields simulating the EEG rhythm.
Abstract Purpose To develop an efficient and economic daily quality research tool (DQRT) for daily check of multiplatform linear accelerators (LINACs) with flattening filter (FF) and flattening filter‐free (FFF) photon beams by using an Electronic Portal Image Device (EPID). Materials and Methods After EPID calibration, the monitored parameters were analyzed from a 10 cm × 10 cm open and 60° wedge portal images measured by the EPID with 100 MU exposure. Next, the repeatability of the EPID position accuracy, long‐term stability, and linearity between image gray value and exposure were verified. Output and beam quality stability of the 6‐MV FF and FFF beams measured by DQRT with the introduced setup errors of EPID were also surveyed. Besides, some test results obtained by DQRT were compared with those measured by FC65‐G and Matrixx. At last, the tool was evaluated on three LINACs (Synergy, VersaHD, TrueBeam) for 2 months with two popular commercial QA tools as references. Results There are no differences between repeatability tests for all monitored parameters. Image grayscale values obtained by EPID and exposure show good linearity. Either 6 MV FF or FFF photon beam shows minimal impact to the results. The differences between FC65‐G, Matrixx and DQRT results are negligible. Monitor results of the two commercial tools are consistent with the DQRT results collected during the 2‐month period. Conclusion With a shorter time and procedure, the DQRT is useful to daily QA works of LINACs, producing a QA result quality similarly to or more better than the traditional tools and giving richer contents to the QA results. For hospitals with limited QA time window available or lack of funding to purchase commercial QA tools, the proposed DQRT can provide an alternative and economic approach to accomplish the task of daily QA for LINACs.
When natural language processing (NLP) technology is applied to industrial internet, problems such as lack of data and imbalance of data are often encountered. In order to improve the accuracy and robustness of the model, text data augmentation was proposed to expand data. Data augmentation is widely used in computer vision. For example, the semantics of the image will not be changed if the image is rotated several degrees or converted to gray level. However, augmentation of text data in NLP is pretty rare. Data augmentation is a low-cost means to expand the amount of data and improve the effect of the model, which has a wide range of applications.
A specially-designed time-varying magnetic field was developed to treat insomnia. Clinical results showed that this method could shorten the time to go to sleep and prolong the sleep duration. However, the mechanism of this method is still not well understood. In this study, the effect of magnetic stimulation on the release of serotonin (5-HT), noradrenaline (NE), dopamine (DA) in raphe nuclei of rats, which are known to play an important role in the sleep-wake regulation, was investigated. It was shown that there was a significant difference in the release of serotonin between control group and experimental group (p < 0.01). The release of serotonin of the experimental group increased significantly. No obvious release changes of NE and DA are found (p > 0.05). The results indicates that one possible mechanism of inducing sleep using specially designed magnetic field is to change the release of sleep-related neurotransmitters
The cluster scheduler is an important component of modern distributed computing infrastructure, and it has evolved significantly in the last few years, so it has got much more attention by the industry and enterprises. With the development of information technology and the increasing demand of distributed applications, the cluster scheduler has been very complex and diversified. Among several resource scheduling system architecture, the design and work mechanism of their scheduler are very different. When we need to change the resource scheduling technology, from the built environment, the basic use, and then to customized modification according to the different business scenarios, each step may take us a lot of effort and cost. Therefore, we need to understand the architecture principles and comprehend their advantages and disadvantages, so as to use the rules and experiences flexibly to optimize our system. This paper first states the classification and meaning of the core performance indicators of scheduling systems, and then summarizes the mainstream scheduler architectures of distributed systems, compares their differences and expounds their characteristics, and then gives a description of the key characteristics of schedulers. In short, it gives a more comprehensive analysis of schedulers.
Abstract Lentinan (LNT) is a polysaccharide from Shiitake mushrooms that has significant effects regarding antioxidant, hypoglycemic, anti-inflammatory activities, etc., and this effect is influenced by the human intestinal flora. However, the interactions between LNT and human intestinal microorganisms, and their metabolic processes, remain unclear. In this study, the fermentation characteristics of LNT and its effects on intestinal flora and metabolites were studied by in vitro fermentation. Our results indicated that LNT was effectively utilised by intestinal microbiota, and the utilisation rate was 62.7 ± 3.0% after fermentation for 48 hr. The concentrations of short-chain fatty acids (mainly acetic acid and propionic acid) were increased to 4.157 ± 0.197 and 5.847 ± 0.283 mM, respectively. LNT also increased the relative abundance of beneficial bacteria, such as Bifidobacterium and Parabacteroides, while reducing harmful bacteria like Veillonella and Klebsiella. Metabolomics and microbial correlation analysis revealed that the catabolism of LNT was also accompanied by amino acid catabolism, especially alanine, aspartic acid, glutamate, and the biosynthesis of adenosine 5’-monophosphate, etc. These findings suggest that LNT can support gut health and demonstrates potential as a prebiotic.
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