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Aim:To pilot study the therapeutic effect of dexmedetomidine-induced sleep balance treatment (DISBT) on the chronic refractory primary insomnia patients. Methods:Forty-two patients with chronic refractory primary insomnia were randomly divided into two groups by random number table. Patients in DISBT group were given DISBT for 3 days, while patients in the control group were given conventional treatment for 3 day. Pittsburgh sleep quality index (PSQI), the hyperarousal scale (HAS), and Hamilton anxiety scale (HAMA) were evaluated and compared between the pre-treatment and post-1-week-treatment. Sleep architecture and electroencephalogram (EEG) spectrum were also recorded and compared pre-treatment and post-treatment. Results:The scores of PSQI and HAMA in both groups after treatment were lower than those before treatment (P < 0.05), DISBT group-reduced degree were higher than those of the control group (P < 0.05). Sleep architecture of Stage 2 sleep proportion, EEG spectrum beta, and gamma relative power value in DISBT group were lower than those before treatment (P < 0.05), Stage 3 sleep proportion and delta relative power value were higher than those before treatment (P < 0.05); Sleep architecture of Stage 2 sleep proportion,beta, and gamma relative power value in control group were higher than those before treatment (P < 0.05); rapid eye movement sleep, Stage 3 sleep proportion, and delta relative power value were lower than those before treatment (P < 0.05). The total scores of the hyperarousal scale (HAS) in both groups after treatment were lower than those before treatment (P < 0.05), DISBT group-reduced degree were higher than those of the control group (P < 0.05), the extreme score, introspectiveness score, react score of HAS in control group after treatment had no statistical significance compared to those before treatment (P > 0.05), the extreme score, introspectiveness score, react score of HAS in DISBT group after treatment were lower than those before treatment (P < 0.05). Conclusion:DISBT effectively reduced the insomnia patient cortex hyperarousal level, corrected disorder of sleep-awakening pathways and easedup insomnia symptom. It is an effective method for chronic refractory primary insomnia.

Aimed at the problem of degradation assessment of shore bridge hoisting gearbox, an online evaluation method of degradation state based on improved symbol sequence entropy (O_ISSE) and logistic regression is proposed. First, a threshold factor is introduced to retain the “coarse-grained” information of the signal change direction and amplitude, reduce the “sensitivity” of original algorithm to the impact component, and propose an improved symbol sequence entropy (ISSE).Then, the sliding window Weibull fitting method is used to effectively filter out the influence of fluctuations in the ISSE characteristic sequence to form O_ISSE. Finally, a logistic regression model is trained and established, and the H value of health factor of the unknown sample are calculated to realize its status recognition online.The example analysis of the life data of the hoisting gearbox of a dock in Shanghai is conducted. The results show that the ISSE and logistic regression model can describe the complexity of signal, track and identify performance degradation status accurately.

A fast local reference frame (LRF) construction method based on the signed surface variation is proposed, which can adapt to the real-time applications such as self-driving, face recognition, object detection. The z-axis of the LRF is generated based on the concavity of the local surface of keypoint. The x-axis is constructed by the weighted vector sum of a set of projection vectors of the local neighborhoods around keypoint. The performance of the proposed LRF is evaluated on six standard datasets and compared with six state-of-the-art LRF construction methods (e.g., BOARD, FLARE, SHOT, RoPS and TOLDI). Experimental results validate the high repeatability, robustness, universality and time efficiency of our method.

Background: Pulverized coal detection is an indispensable detection measure in the coal industry. The current detection devices can be divided into two types: invasive and non-invasive. The coal dust detection methods and devices based on acoustics, optics, and electricity have been extensively studied. In order to achieve a high-efficiency online detection scheme, improving the accuracy and stability of the detection means is the primary goal of the research. Objective: The general problems and characteristics of coal dust detection device design are summarized, as well as recent technological developments and the need for online testing to predict future research trends. Methods: The current typical detection devices are classified according to the detection principle and whether they invade the target, analyzing its advantages and disadvantages according to the device performance and application scenarios. Results: It has a beneficial effect on the design of the pulverized coal concentration detection device. Conclusion: The paper summarizes and analyzes several representative coal concentration detection device patents in recent years. Then it points out advantages and main problems. On this basis, the main development direction of the coal dust concentration detection device in the future is discussed.

In Sichuan province, walnuts, consisting of Juglans regia, Juglans sigillata, and the hybrid J. regia × J. sigillata, are commercially important edible nuts, and J. regia is the most widespread plant. To date, the diversity and distribution of fungi inhabiting on Juglans have not received enough attention, although there have been studies focusing on pathogens from fruit and stem. In order to update the checklist of fungi associated with Sichuan walnuts, a survey on fungi associated with the three Juglans species from 15 representative regions in Sichuan was conducted. In this article, ten fungi distributed in two classes of Ascomycota (Dothideomycetes and Sordariomycetes) were described based on morpho-molecular analyses, and two novel species, Neofusicoccum sichuanense and Sphaerulina juglandina, a known species of Ophiognomonia leptostyla, and seven new hosts or geographical records of Cladosporium tenuissimum, Diatrypella vulgaris, Helminthosporium juglandinum, Helminthosporium velutinum, Loculosulcatispora hongheensis, Periconia byssoides, and Rhytidhysteron subrufulum were included. Morphological descriptions and illustrations of these fungi are provided.