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Mei-Xiang Zhan,1,2,* Li Tang,3,* Yun-Fei Lu,4,* Huang-Hui Wu,1,* Zhi-Bin Guo,1 Zhong-Mou Shi,1 Chen-Long Yang,1 Yi-Qing Zou,1,2 Fei Yang,1,2,5 Guo-Zhong Chen1,2 1Department of Anesthesiology and Perioperative Medicine, Clinical Medical College, (900 Hospital of the Joint Logistic Support Force), Fujian Medical University, Fuzhou, Fujian, 350025, People’s Republic of China; 2Department of Anesthesiology and Perioperative Medicine, Dongfang Hospital, Xiamen University, Fuzhou, Fujian, 350025, People’s Republic of China; 3Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, People’s Republic of China; 4Department of Anesthesiology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100039, People’s Republic of China; 5Laboratory of Pain Research, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian, 350122, People’s Republic of China*These authors contributed equally to this workCorrespondence: Guo-Zhong Chen; Fei YangDepartment of Anesthesiology and Perioperative Medicine, 900 Hospital of the Joint Logistic Support Force, Fujian Medical University, #156 West 2 nd Ring Road North, Gulou District, Fuzhou, 350025, People’s Republic of ChinaEmail cgzssq2000@sina.com; yangfeimedbrain@outlook.comIntroduction: Ulinastatin, a broad-spectrum serine protease inhibitor, has been widely used to treat various diseases clinically. However, so far, the antinociceptive effect of ulinastatin remains less studied experimentally and the underlying mechanisms of ulinastatin for pain relief remain unclear. This study aimed to find evidence of the analgesic effect of ulinastatin on acute somatic and visceral pain.Methods: The analgesic effect of ulinastatin on acute somatic and visceral pain was evaluated by using formalin and acetic acid-induced writhing test. The analgesic mechanism of ulinastatin was verified by detecting the peripheral inflammatory cell infiltration and spinal glial activation with hematoxylin-eosin (H&E) and immunohistochemistry staining.Results: We found that both of intraperitoneal (i.p.) pre-administration and post-administration of ulinastatin could reduce the total number of flinching and the licking duration following intraplantar formalin injection in a dose-related manner. However, the inhibitory effect of ulinastatin existed only in the second phase (Phase 2) of formalin-induced spontaneous pain response, with no effect in the first phase (Phase 1). The formalin-induced edema and ulcer were also improved by i.p. administration of ulinastatin. Moreover, i.p. administration of ulinastatin was also able to delay the occurrence of acetic acid-induced writhing and reduced the total number of writhes dose-dependently. We further demonstrated that ulinastatin significantly decreased the local inflammatory cell infiltration in injured paw and peritoneum tissue under formalin and acetic acid test separately. The microglial and astrocytic activation in the spinal dorsal horn induced by intraplantar formalin and i.p. acetic acid injection were also dramatically inhibited by i.p. administration of ulinastatin.Conclusion: Our results for the first time provided a new line of evidence showing that ulinastatin could attenuate acute somatic and visceral pain by inhibiting the peripheral and spinal inflammatory reaction.Keywords: Ulinastatin, formalin, somatic pain, visceral pain, inflammation, antinociception

To overcome the mandatory requirement of nozzle conductivity in the conventional electrohydrodynamic (EHD) jet printing, this paper proposed a self-induced electric-field-driven jet printing for fa...

Consistent and inexpensive energy access is pivotal for human development and sustainable living standard. Pakistan is facing a huge gap in the demand and supply of energy which is brewing since 2007. This study analysed the factor influencing the households’ willingness to pay for the alternative energy source. Using a world bank data, collected from 8500 households our study presented the findings of the ordered logit model. Our results indicate that there exists a positive willingness to pay for energy alternatives for socio-economic characteristics and energy attributes. Besides, it indicates the affordability and cost-saving factor of potential alternative significantly influence the WTP for the alternative energy source. We suggested the policymakers to make policies to encourage the invention of the affordable energy products that result in reliable and long-running energy alternatives. Similarly, the financial assistance in the form of easily accessible loans, subsidies, and attractive instalments for the energy products.

Diabetes and its complications have been recognized worldwide as a major public health threat. Predicting diabetic complications is regarded as a highly effective technique for increasing the survival rate of diabetic patients . While many studies currently use medical images and structured medical records, very limited efforts have been dedicated to applying data mining techniques for unstructured textual medical records, such as admission and discharge records. Moreover, the similarities among medical records that are overlooked by existing approaches could potentially improve the accuracy of prediction models. In this paper, we propose an approach for diabetic complication prediction based on a similarity-enhanced latent Dirichlet allocation (seLDA) model. Specifically, we first estimate the similarity between textual medical records after data preprocessing , and then we perform seLDA-based diabetic complication topic mining based on similarity constraints. Finally, we construct a prediction model by solving a multilabel classification problem with support vector machines (SVMs). The experimental results show that our approach outperforms the conventional LDA-based approach in similarity indices by 22.49%. Additionally, our approach shows significant improvements in prediction accuracy over four other representative seLDA-based approaches, including random forests (RF), k-nearest neighbors (KNN), logistic regression (LR) and deep neural networks (DNNs).

Objective: To investigate the potential molecular mechanism of Xin Hui Tong Formula (XHTF) in the treatment of coronary heart disease (CHD) by using network pharmacology and bioinformatics. Methods: The targets network of CHD was constructed through Therapeutic Targets Database (TTD) and Drugbank database; The XHTF pharmacodynamic molecule-targets network and the XHTF pharmacodynamic molecule-CHD targets network were explored by the traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP). And the multi-targets mechanism and molecular regulation network of XHTF in the treatment of CHD were explored from multiple perspectives by Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) database pathway enrichment analysis. Results: A total of 88 CHD targets were screened out through the Therapeutic Targets and the Drugbank database. 393 compounds and corresponding 205 drug targets of XHTF were retrieved from TCMSP. A total of 13 known targets directly related to the development of CHD were retrieved from the disease-related databases: TP53, MAPK14, NFKB1, HSPA5, PLG, PTGS2, ADRB1, NOS2, CYP3A4, GRIA2, CYP2A6, GRIA1, PTGS1. XHTF also contained 118 drug targets that directly interact with CHD targets. GO enrichment analysis showed that the biological processes of 13 direct targets proteins were found to be mainly enriched in response to drug, cellular response to biotic stimulus, long-chain fatty acid metabolic process, fatty acid metabolic process and regulation of blood pressure. KEGG pathway enrichment analysis found that XHTF participated in the CHD pathological process mainly through retrograde endocannabinoid signaling, regulation of lipolysis in adipocytes, cAMP signaling pathway, chemical carcinogenesis and other pathways. Conclusions: XHTF plays a role in the treatment of CHD through multiple targets and multiple pathways, and provides a scientific basis for the theory of “virtual standard” in the treatment of CHD. Keywords: Xin Hui Tong Formula (XHTF), Coronary heart disease, Network pharmacology, Network analysis, Bioinformatics

Objective: Natural language processing (NLP) was used to excavate and visualize the core content of syndrome element syndrome differentiation (SESD). Methods: The first step was to build a text mining and analysis environment based on Python language, and built a corpus based on the core chapters of SESD. The second step was to digitalize the corpus. The main steps included word segmentation, information cleaning and merging, document-entry matrix, dictionary compilation and information conversion. The third step was to mine and display the internal information of SESD corpus by means of word cloud, keyword extraction and visualization. Results: NLP played a positive role in computer recognition and comprehension of SESD. Different chapters had different keywords and weights. Deficiency syndrome elements were an important component of SESD, such as “Qi deficiency” “Yang deficiency” and “Yin deficiency”. The important syndrome elements of substantiality included “Blood stasis” “Qi stagnation”, etc. Core syndrome elements were closely related. Conclusions: Syndrome differentiation and treatment was the core of SESD. Using NLP to excavate syndromes differentiation could help reveal the internal relationship between syndromes differentiation and provide basis for artificial intelligence to learn syndromes differentiation. Keywords: Syndrome element syndrome differentiation (SESD), Natural language processing (NLP), Diagnostics of TCM, Artificial intelligence, Text mining

Accurate forecasting is the key factor in promoting wind power consumption and improving the stable operation of power systems. A short-term wind power forecasting (WPF) and uncertainty analysis method based on whale optimization algorithm (WOA), least squares support vector machine (LSSVM), and nonparametric kernel density estimation (NPKDE) was proposed in this paper. The advantages of WOA (fast convergence speed and high convergence accuracy) were used to optimize the penalty factor and kernel function width of the LSSVM model, and the calculation speed and forecasting accuracy of the LSSVM model were improved. The training sample set is classified according to the wind speed interval, and the WOA-LSSVM forecasting model is trained by subclass after classification to further improve the accuracy of short-term WPF. The NPKDE method is used to accurately calculate the probability density distribution characteristics of the forecasting error of wind power, and the confidence interval of the WPF is accurately calculated based on the probability density distribution characteristics. The calculation results show that the forecasting accuracy of the WOA-LSSVM model is higher than those of the LSSVM, long short-term memory (LSTM), and particle swarm optimization and least squares support vector machine (PSO-LSSVM) models, and the forecasting accuracy of the WOA-LSSVM model can be further improved after classifying the training sample set. The coverage of the confidence intervals in different time scales is higher than the corresponding confidence level, indicating that the NPKDE method can accurately describe the probability density distribution characteristics of the WPF errors.

The situation of the power grid has become more complicated under the New Circumstances, for the reason that the situation of the power grid is much different than ever before and it brings new challenges to cascading failures research fully in many aspects. This paper, firstly, expounds research status of cascading failures in traditional power grids in which many scholars have made a lot of efforts. And then, summarizes the current status and challenges of cascading failure research in alternating current & direct current (AC-DC) hybrid systems and high renewable energy penetrated power systems. Analyzes the reasons for the broad application prospects of artificial intelligence in cascading failures study. Finally, prospects the challenges of cascading failure Research at the current stage.

BackgroundRecurrence after the healing of a foot ulcer is very common among patients with diabetes mellitus. Novel diabetic therapeutic footwear consisted of merino wool, vibration chip, and orthopedic insoles is designed to influence multifaceted mechanisms of foot ulcer occurrence. The aim of this study is to examine the effect of the optimally designed therapeutic footwear on preventing ulcer recurrence in patients with a history of diabetic foot ulcers (DFU).Methods/designThe trial is designed as a two arms, parallel-group, open-label randomized controlled intervention study. The Log-rank Test was used for calculating sample size based on the latest national multicenter survey data of DFU in China. Three hundred and twenty participants will be recruited from the Diabetic Foot Care Center, West China Hospital, Sichuan University. Adults with diabetic peripheral neuropathy, healed foot ulceration in the 3 months prior to randomization, and aged ≥18 years, will be recruited. Participants will be randomized to receive novel diabetic therapeutic footwear (n = 160) or their own footwear (n = 160). The primary outcome will be the incidence of ulcer recurrence. The secondary outcome will be measurements of barefoot dynamic plantar pressures, the influence of footwear adherence on ulcer recurrence, and the incidence of cardiovascular events. Assessment visits and data collection will be obtained at baseline, 1, 3, 6, 9, and 12 months. The intention-to-treat principle will be applied. A cox regression model will be used to calculate the hazard ratio for the incidence of ulcer recurrence. The change of barefoot dynamic plantar pressures will be assessed using repeated measures ANOVA. The study protocol has been approved by the Ethics Committee of The Biomedical Research Ethics Committee of West China Hospital, Sichuan University (Reference No. 2019(96)).DiscussionThis clinical trial will give information on the ability of novel diabetic footwear on preventing ulcer recurrence in patients with a history of diabetic foot ulceration. If the optimally designed therapeutic footwear does work well, the findings will contribute to the development of innovative treatment devices for preventing foot ulcer recurrence in high-risk patients.Trial registrationChinese Clinical Trial RegistryChiCTR1900025538. Registered on 31 August 2019.

Gas-insulated mental enclosed transmission Line(GIL) as an overhead transmission mode or a supplementary transmission technology with limited transmission point of cable, has the advantages of large capacity, less space, flexible layout and high reliability. In view of the operating characteristics of UHV GIL, in order to ensure its safe and stable operation, an arc fault monitoring system is deployed inside the GIL tube corridor. The energy acquisition mode of the arc fault monitoring system is mainly studied in this paper. Based on the angle of high and low potential isolation, security and practicality, a scheme of laser optical fiber power supply and communication for UHV GIL arc fault monitoring is proposed, which provides stable and reliable energy supply and communication guarantee for arc fault location and monitoring equipment, and provides support technology for safe and stable operation of UHV GIL.

Tunnel junction (TJ) is one of the key technologies for high voltage vertical multi-photovoltaic cell(HVVMPC). In this paper, two types of AlGaAs/GaAs TJs with silicon(Si) doping and tellurium(Te) doping technology are presented, and on this basis, two types of HVVMPCs including six sub-cells and different doping TJ are prepared. A temperature and monochromatic optical power characteristic comparative study for two types of devices shows a higher efficiency for Te doping HVVMPC. Therefore, the Te doping technology can be considered to improve the device performance of tandem monochromatic HVVMPC. In addition, The factors of TJ resistance at different bias voltage, external quantum efficiency(EQE) of HVVMPC and current matching characteristic are discussed. According to these analysis data and the conclusions in this paper, we can optimize HVVMPC including more sub-cells in future.

In the process of teaching and scientific research in colleges and universities, setting up student laboratories is an effective way to cultivate students' practical ability. However, with the expansion and opening of laboratories, a series of problems, such as difficult access control, cumbersome reservation process and low attendance efficiency, have emerged in the daily operation of laboratories. In this paper, starting from the daily management of the laboratory and the development and application of the Internet of Things technology, the system design objectives, platform technical elements and innovation points are described. Secondly, the key technology of the hardware terminal of the Internet of Things in the system design is introduced in detail, and then the intelligent laboratory control system platform is designed and developed according to the software development process. Based on the Arduino, the intelligence laboratory control system set lab reservation, access control, network attendance and other functions in one. It plays a good role in promoting the daily maintenance of students' laboratory, overall allocation of teaching resources, and the high-quality implementation of classroom attendance, which is conducive to standardizing laboratory management, improving teaching efficiency, tightening classroom discipline, and fostering a good environment for innovative research.

Today’s era is an information age as well as a data age, which provides conditions for the reform and development of education. With the substantial increase in the number of school students, student performance and other data show an explosive growth trend, we now urgently need to use technology to promote teaching progress. In the era of big data, this paper applies Apriori algorithm to practice, analyzes students' performance and draws conclusions, facilitates educational management, scientifically arrange courses, improves students' learning efficiency and achieves teaching objectives.

Today, with the rapid development of global science and technology, e-commerce, mobile payment, online shopping and other industries that have not yet developed or are still developing are gradually growing and developing. It can be a long way from the warehouse to the buyer. This is when the logistics industry emerged. Efficient logistics operation, reasonable route planning, distribution rules, to ensure that buyers can receive the goods in the fastest time, intact. Therefore, this project will focus on efficient distribution. Based on map database and technical support related to Baidu map API, combined with Floyd-Warshall algorithm, express logistics platform will be established to find a more optimized logistics and transportation route and an industry solution integrating information entry, distribution, query and transportation.

This Paper presents an investigation of torsional vibration of a light Van driveline, Torsional vibration theory was researched, a CAE model of the light van for torsional vibration analysis was established. The CAE model was verified by comparing the CAE analysis results and tests. Sensitivity of driveline component parameters for torsional vibration was studied. This research is of significance for reducing driveline's torsional vibration and developing driveline's NVH.

In the process of merger and acquisition, a large number of unconfirmed factors are included in goodwill, coupled with the information superiority of the large shareholders, goodwill is likely to become a tool for large shareholders’ tunneling behaviors. This paper examines whether goodwill affects the tunneling behavior of large shareholders based on empirical models, and further examines the role of information transparency in regulating the relationship between the two. We select the financial data of Chinese listed companies in non-financial industries from 2012 to 2018. We find that: first, in the companies with a higher proportion of goodwill to total assets, the large shareholders show stronger signs of shares reduction/pledge behaviors. And second, with higher information transparency, the positive correlation between goodwill and shares reduction/pledge behaviors of large shareholders can be suppressed. This paper reveals the underlying reasons why shareholders of listed companies pledge and reduce their stock holdings, and provides empirical evidence for the supervision of regulatory authorities and investment decisions of investors.

The application of large-capacity ultra-high voltage direct current (UHVDC) transmission greatly improves the large-scale resource allocation capability, while also increases the complexity of security and stability control of the power grid. With the wide application of cross-region DC control strategies such as DC frequency control and power emergency support, the determination of DC control strategies must consider the influence of DC power changes on the stability of the sending and receiving end power grids. After analyzing the defects of existing control strategies for high power loss accidents, a coordinated control strategy is proposed that utilizes a variety of control resources in the entire power grid after the DC blocking happened, as well as considering the dynamic coupling characteristics of the DC sending and receiving end power grids. The actual power grid simulation results show the effectiveness of the proposed control strategy.

With the continuous development of UHVDC transmission and renewable energy power generation, large number of synchronous generators have been replaced, and the risk of transient frequency security after faults has increased. Electrochemical energy storage is developed as a flexible control resource. Based on the fast power regulation characteristics, the function of energy storage in the prevention, emergency, and correction control of frequency stability for three defense lines is analyzed. The technical points of capacity allocation for electrochemical energy storage to support transient frequency security are discussed. Meanwhile, this paper researches the optimal configuration of energy storage adapting to multiple application scenarios and optimal operation modes of energy storage power stations.

In this paper, the importance of the coverage, security, transmission delay, service rate and cost in each heterogeneous wireless network to the power business is comprehensively analyzed from the perspective of business preference of power distribution communication and the objective conditions of 5G heterogeneous network. The weight distribution of each network attribute for different business is more accurately obtained by using the entropy enhanced AHP and method. The performance ranking of each network provides a scientific, objective, accurate and optimized selection scheme for the power distribution communication service. Compared with other algorithms, the proposed algorithm shows better performance in term of blocking rate.

Background Noninvasive plasma-based detection of EGFR mutations using digital PCR promises a fast, sensitive and reliable approach to predicting the efficiency of EGFR-TKI. However, the low throughput and high cost of digital PCR restricts its clinical application. Methods We designed a digital PCR assay, which can simultaneously detect 39 mutations of exons 18–21 of the EGFR gene. To assess overall performance, retrospective FFPE tissues from 30 NSCLC patients and plasma from 33 NSCLC patients were collected and analysed. Results The LoD of the EGFR mutations was as low as 0.308 copies/μL, and the linear correlation between the detected and expected values at different concentrations (0.01–10%) was low as well. Compared to ARMS-PCR in FFPE, the accuracy values of the dEGFR39 assay in plasma from 33 patients was 87.88% (29/33, 95% CI 72.67–95.18%). While monitoring the 33 patients, the EGFR mutation load as assessed by dEGFR39 was associated with the objective response to treatment. Thirteen samples from eight patients were identified by dEGFR39 to harbour the T790M mutation over time; of these patients, only nine (69%) were detected using SuperARMS. Conclusion Our results indicate that dEGFR39 assay is reliable, sensitive and cost-efficient. This method is beneficial for profiling EGFR mutations for precision therapy and prognosis after TKI treatment, especially in patients with insufficient tissue biopsy samples.

This meta-analysis aimed to examine the effects of mobile-health-based (mHealth) interventions on improving glycemic stability and quality of life (QOL) in patients with type 1 diabetes (T1D). Various databases, including PubMed, Embase, CINAHL, Cochrane Library, ProQuest, Chinese Electronic Periodical Services, and China Knowledge Resource Integrated, were used to search for relevant articles. A fixed-effects model or random-effects model was used to examine the overall effect. Various methods, including Egger's test, Begg's test, and trim-and-fill, were adopted to examine publication bias. In total, 26 studies were recruited. Results of the random-effects model showed that the use of mHealth-based interventions significantly decreased glycated hemoglobin (HbA1c) (mean difference = -0.37, 95% confidence interval (CI) = -0.53 to -0.22, p < .001), and improved life satisfaction (Hedges' g = 0.30, 95% CI = 0.10 to 0.50, p = .003), worry of diabetes (Hedges' g = -0.25, 95% CI = -0.41 to 0.08, p = .004), and mental health (Hedges' g = 0.36, 95% CI = 0.08 to 0.64, p = .012). Both adults and youths with T1D can benefit from mHealth-based interventions to improve HbA1c (Hedges' g = -0.44, p = .002 vs. -0.30, p = .003). The effect of mHealth-based interventions on improving QOL in both adults and youths could not be examined due to only one study published in adults with T1D. Moreover, those studies that included the function of feedback from professionals showed a significant effect of decreasing HbA1c compared to those without that function (Hedges' g = -0.48 vs. -0.16, p = .019). Mobile devices are convenient, instantaneous, and easy to use to communicate. Applying mHealth-based interventions with the function of feedback from professionals can be considered an alternative healthcare service to achieve optimal glycemic stability in adults and youths with T1D.

The aim of this study is to present a novel semi-automatic coconut tree climbing device and validate its strength based on actual working conditions. Firstly, the structural composition and operational principal of this device is introduced. After that, the finite element model of this device is established with CATIA. Finally, the strength analysis is executed by means of CATIA. In this study, the equivalent stress, principal stress, and displacement contours are obtained. The simulation results show that the maximum stress of this device is below 355 MPa, which is the value of the yield strength. Therefore, this device is capable of satisfying practical application requirements.

Ulinastatin is a broad-spectrum protease inhibitor widely used for the treatment of various inflammation-related diseases owing to its recognized excellent anti-inflammatory and cytoprotective properties. However, whether ulinastatin can relieve postoperative pain remains unclear. In this study, we evaluated the analgesic effects of ulinastatin administered either as a single agent or in combination with sufentanil in a validated preclinical rat model of postoperative pain induced by plantar incision. We found that incisional surgery on the hind paw of these rats induced sustained ipsilateral mechanical pain hypersensitivity that lasted for at least 10 days. A single intraperitoneal (i.p.) injection of ulinastatin prevented the development and reversed the maintenance of incision-induced mechanical pain hypersensitivity in a dose-dependent manner. However, ulinastatin had no effect on the baseline nociceptive threshold. Moreover, repeated i.p. injections of ulinastatin persistently attenuated incision-induced mechanical pain hypersensitivity and promoted recovery from the surgery. The rats did not develop any analgesic tolerance over the course of repeated injections of ulinastatin. A single i.p. injection of ulinastatin was also sufficient to inhibit the initiation and maintenance of incision-induced hyperalgesic priming when the rats were subsequently challenged with an ipsilateral intraplantar prostaglandin E2 injection. Furthermore, the combined administration of ulinastatin and sufentanil significantly enhanced the analgesic effect of sufentanil on postoperative pain, which involved mechanisms other than a direct influence on opioid receptors. These findings demonstrated that ulinastatin had a significant analgesic effect on postoperative pain and might be a novel pharmacotherapeutic agent for managing postoperative pain either alone or as an adjuvant.

BACKGROUND Intraoperative blood pressure (BP) is one of the basic vital signs monitoring. Compared with standard invasive BP measurement, TL-300 allows for a continuous and beat-to-beat noninvasive intraoperative BP monitoring. The current retrospective study compared the accuracy and precision of this noninvasive technique for continuous BP monitoring with that of standard invasive BP measurement in patients undergoing elective neurosurgery. MATERIALS AND METHODS BP records of 23 patients undergoing elective neurosurgery, measured by both noninvasive TL-300 and invasive radial arterial catheter method, were retrospectively analyzed. Variability in BP data was analyzed by using linear regressions and Bland-Altman analysis. RESULTS Four thousand three hundred eighty-one pairs of BP measurements from a total of 23 patients were included. The coefficient of determination of systolic, diastolic, and mean BP were 0.908, 0.803, and 0.922, respectively. And their bias was found to be 1.3±5.87 mm Hg (95% limits of agreement: -10.2 to +12.8 mm Hg), 2.8±6.40 mm Hg (95% limits of agreement: -9.8 to +15.3 mm Hg), and 1.8±4.20 mm Hg (95% limits of agreement: -6.4 to +10.1 mm Hg), respectively. CONCLUSIONS TL-300 system is a promising noninvasive alternative to the invasive arterial catheter method for intraoperative BP monitoring, with a high accuracy and precision. With the limitation of the current retrospective study, further prospective method comparison studies are needed.

In this paper, a novel Attitude and Heading Reference System(AHRS) algorithm for real time controlling of various mobile robots is presented. Such a control system is essential for real time mobile robots control applications, such as entertainment, business activities, industrial, domestic assistant and etc. New angles and vectors definition, system specification and Momentum Correction Factor(MCF) are proposed to compensate the motion time delay during an inertial action. A dedicated experimental setup is established to test the algorithm. Experimental results show that the proposed algorithm is able to maintain an accurate and delay-free motion control.

Denitrification deep-bed filter has been widely applied in the field of advanced wastewater treatment, yet its efficient operation is highly dependent on the filter bricks-controlled water and air distribution system. Considering the restrictions of existing bricks such as poor hydraulic properties and large non-working area during backwashing, a cuboid novel filter brick with two internal distribution chambers was designed and its hydraulic behaviors under three conditions (air washing, water and air joint backwashing, water washing) were simulated using computational fluid dynamic (CFD) analysis. Results showed that the uniformity of fluid velocity distribution was better than that of the conventional brick under two hydraulic conditions, especially in water and air joint backwashing process with a 10% promotion of water and air distribution uniformity. Furthermore, a 30-day engineering validation test was also carried out to testify the actual performance of the novel filter brick. Better performance was testified in the filters with novel bricks. The present study showed that the novel filter brick had a better uniformity of water and air distribution and smaller dead zone area than those of the conventional brick, implying a good feasibility of application in denitrification deep-bed filter.

Partial discharge(PD) detection is an effective method for evaluating the insulation state of power equipment. If partial discharge is not detected in time, it will cause insulation damage of power equipment, which will affect the safe and stable operation of the power system. With the development of modern society and science and technology, the application of Internet of Things technology in electric power operation is more and more extensive, and the electromagnetic environment of electric power operation site has become more complicated. Therefore, it is necessary to study the partial discharge detection technology of power equipment based on spectrum analysis in the complicated and strong electromagnetic environment of substation.

Laser wireless power supply technology has the advantages of high energy density, good directionality, small transmitting and receiving aperture, convenient and flexible installation and deployment. It is very suitable for power supply for sensors or mobile electrical equipment in complex high potential environment, such as patrol UAV. Because the beam quality of high-power semiconductor laser is far worse than that of other types of lasers, when it is used as the transmitter of beam shaping system, it must be equipped with corresponding beam shaping system to obtain laser beam with uniform spot, appropriate size and small divergence angle, so as to ensure that the photoelectric cell module has high conversion efficiency and meet the needs of long-distance laser transmission. In this paper, a beam collimation scheme based on aspheric lens group is designed, which integrates optical devices with low cost, reduces the energy loss in the process of laser transmission, and obtains laser beam with certain intensity uniformity. The test shows that the collimator can better meet the parameter requirements of the collimation system.

In order to reduce the frequency of zero line live faults on overhead lines in low-voltage stations and shorten the time for maintenance and repair when zero line live faults occur, the existing zero line live fault repair methods are summarized, and the Preventive measures, and proposed a fast fixed-point device research scheme for the live line zero line live fault of low-voltage overhead lines. The simulation criterion of live line live fault of the zero line is studied with the help of simulation software such as ATP-EMTP. Live fault type identification model to improve the accuracy of fault type diagnosis. It is expected that the location of the zero line live fault can be located in a shorter time. This solution will greatly reduce the manpower and material input during the live line maintenance work. Maintenance time has engineering transformation value.

Analgesic strategy of a single drug analgesia in bone cancer pain (BCP) has shifted to combined analgesia with different drugs which have different mechanism. After tumor cell inculation, the activation of signal transducer and activator of transcription (STAT3) and extracellular signal-regulated kinase (ERK) signaling pathway are involved in the development and maintenance of BCP, whereas a decrease in the expression of spinal STAT3 and ERK through using their specific blocker, lead to attenuation of BCP. Hence, in this study, we clarified that intrathecal (i.t.) injection of midazolam (MZL) and ropivacaine (Ropi) induces synergistic analgesia on BCP and is accompanied with different mechanisms of these analgesic effect. Hargreaves heat test was used to detect the analgesic effect of single dose of i.t. MZL, Ropi and their combination on the BCP rats. At consecutive daily administration experiment, thermal hyperalgesia was recorded, and immunohistochemical staining was used to detect the expression of c-Fos, spinal glial fibrillary acidic protein (GFAP) and ionized calcium binding adapter molecule-1 (IBA-1). Then, western blot analysis was used to examine spinal TSPO, GFAP, IBA-1, pERK/ERK and pSTAT3/STAT3 levels on day 14 after tumor cell inoculation. i.t. MZL or Ropi showed a short-term analgesia dose-dependently, and MZL displayed better effect on inhibition of pSTAT3 expression than pERK, but Ropi was just the reverse, then consecutive daily administrations of their combination acted synergistically to attenuate thermal hyperalgesia with downregulated spinal 'neuron-astrocytic activation' in the BCP rats. i.t. co-delivery of MZL and Ropi shows synergistic analgesia on the BCP with the inhibition of spinal 'neuron-astrocytic activation'. Spinal different signaling pathway inhibition for MZL and Ropi may be involved in this process.

Bone cancer pain (BCP) is one of the most difficult and intractable tasks for pain management, which is associated with spinal 'neuron-astrocytic' activation. The activation of the c-Jun N-terminal kinase (JNK)/chemokine (C-C motif) ligand (CCL2) signaling pathway has been reported to be critical for neuropathic pain. Rolipram (ROL), a selective phosphodiesterase 4 inhibitor, possesses potent anti-inflammatory and anti-nociceptive activities. The present study aimed to investigate whether the intrathecal administration of ROL has an analgesic effect on BCP in rats, and to assess whether the inhibition of spinal JNK/CCL2 pathway and astrocytic activation are involved in the analgesic effects of ROL. The analgesic effects of ROL were evaluated using the Von Frey and Hargreaves tests. Immunofluorescence staining was used to determine the number of c-Fos immunoreactive neurons, and the expression of spinal astrocytes and microglial activation on day 14 after tumor cell inoculation. Enzyme-linked immunosorbent assay (ELISA) was used to detect the expression of pro-inflammatory cytokines [interleukin (IL)-1β, IL-6 and tumor necrosis factor (TNF)-α] and chemokines (CCL2), and western blot analysis was then used to examine the spinal phosphodiesterase 4 (PDE4), ionized calcium binding adapter molecule-1 (IBA-1) and JNK levels on day 14 after tumor cell inoculation. The results revealed that ROL exerted a short-term analgesic effect in a dose-dependent manner, and consecutive daily injections of ROL exerted continuous analgesic effects. In addition, spinal 'neuron-astrocytic' activation was suppressed and was associated with the downregulation of spinal IL-1β, IL-6 and TNF-α expression, and the inhibition of PDE4B and JNK levels in the spine was also observed. In addition, the level of CCL2 was decreased in the rats with BCP. The JNK inhibitor, SP600125, decreased CCL2 expression and attenuated pain behavior. Following co-treatment with ROL and SP600125, no significant increases in thermal hyperalgesia and CCL2 expression were observed compared with the ROL group. Thus, our findings suggest that the analgesic effects of ROL in BCP are mainly mediated through the inhibition of 'neuron-astrocytic' activation, which occurs via the suppression of spinal JNK/CCL2 signaling.

A novel hybrid-channel attenuation measurement system has been built for the measurement of $V$ - and $W$ -band waveguide attenuators from 50 to 110 GHz. The measurement system combines two single channels of the $V$ and $W$ bands together into one system. The $V$ -band channel is used as the measurement channel and the $W$ -band channel is used as the synchronization channel when the $V$ -band attenuator is measured and vice versa. The measurement system is free of cross talk between the two channels and removes the need for isolators between the local oscillator and the mixer since the RF signal frequencies in the two channels are different. In addition, a compensation module was designed to cancel the self-mixing produced by the $W$ -band mixer at frequencies above 102 GHz. The expanded uncertainty of the system is evaluated to be 0.004–0.08 dB at frequencies $\le 102$ GHz and 0.005–0.11 dB at frequencies $>102$ GHz for an attenuation range from 0 to 80 dB.

Landscape index had a relationship with the ecological risk of land-use, as one of the important indicators to measure the ecological risk of land-use. The traditional ecological risk assessment of land-use did not consider the influence of the particle scale on landscape indices of landscape. In order to improve the science of ecological risk assessment for land-use, and to provide a scientific basis for land-use management decisions, in this paper, the National Nature Reserve of Shengjin Lake in Anhui province was chosen, the remote sensing TM images from 1986, 2002, to 2011 were selected, and GIS technology and measures were used to analyze, besides, Fragstats software was selected to get a different scale of landscape indices. The assessment model for land-use ecological risk was established, and land-use ecological risk in 2015 and which was predicted through multiple linear regression and principal component analysis in 2020. The results showed that the evaluation for land-use ecological risk was influenced by landscape scale. The land-use ecological risk in the study area had increased-decreased-increased. It was predicted that the land-use ecological risk in the study area would reach 2.32 in 2015 and 2.72 in 2020. Ecological risk was gradually gathering at the National Nature Reserve of Shengjin Lake in Anhui province.