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This study aimed to identify the lipid composition and the positional distribution of fatty acids in dried shrimp and to select differential lipids and investigate lipid changes and the lipid transformation mechanism during storage using lipidomics analysis. Results showed that a total of 790 lipids belonging to 7 major classes were identified, among which glycerophospholipids were the most abundant, followed by glycerolipids and sphingolipids. In phosphatidylcholine (PC), phosphatidylethanolamine (PE), triglycerides (TG), and diglycerides (DG), saturated fatty acids were found to be mainly located at the sn-1 position, while unsaturated fatty acids, especially oleic acid, linoleic acid, docosahexaenoic acid (DHA), and eicosapentaenoic acid (EPA), were mainly distributed at the sn-2 position. Using multivariate statistical analysis, 151 differential lipids were selected, 121 of which were up-regulated and the remaining 30 were down-regulated, indicating that storage had a significant effect on the types and contents of lipids in dried shrimp. After storage for 20 days, the relative contents of lyso-phosphatidylcholine, lyso-phosphatidylethanolamine, and lyso-phosphatidylserine in dried shrimp increased, and the relative contents of PC, PE, and phosphatidylserine decreased significantly, indicating the occurrence of lipid transformation.

Volumetric subcellular imaging has long been essential for studying structures and dynamics in cells and tissues. However, due to limited imaging speed and depth of field, it has been challenging to perform live-cell imaging and single-particle tracking. Here we report a 2.5D fluorescence microscopy combined with highly inclined illumination beams, which significantly reduce not only the image acquisition time but also the out-of-focus background by ∼2-fold compared to epi-illumination. Instead of sequential z-scanning, our method projects a certain depth of volumetric information onto a 2D plane in a single shot using multi-layered glass for incoherent wavefront splitting, enabling high photon detection efficiency. We apply our method to multi-color immunofluorescence imaging and volumetric super-resolution imaging, covering ∼3–4 µm thickness of samples without z-scanning. Additionally, we demonstrate that our approach can substantially extend the observation time of single-particle tracking in living cells.

The evolution of fractures in mining overburden plays a pivotal role in interlayer gas migration. Therefore, a comprehensive study of crack development and distribution improve the efficiency of gas extraction. This study the west 2107 fully mechanized mining face in Weijia Mine of Gansu Province as the engineering background, Specifically, this study established numerical models of different mining heights by using the UDEC simulation software, and analyzed the relationship between the evolution of near-field fractures in the overburden of the working face and different mining based on fractal geometry theory. The optimal working face height for gas extraction was determined and validated through theoretical empirical formulas, field observations of overburden fractures, and gas extraction results. The results show that the total number of mining fractures increases with the increase of mining height, but the amplitude of increase is different at different stages, and the overburden fractures continue to develop in an "umbrella" shape around the overburden. The near-field fractures of the overburden rock at different mining heights have undergone three stages: generation, expansion and penetration, and compaction stability. Increasing mining height, smaller compaction zones. When the mining height is 4 m, the development density and range of roof fractures at 10 m and 40 m are significantly higher than those in other areas, which is consistent with the optimal position of the collaborative extraction roadway with high and low roadways.

The change of water content, mildew of Liupao tea at 35 ℃, 30 ℃, 25 ℃ and humidity of 90%, 80% and 70% were studied. The influence of temperature and humidity on water content and mildew of Liupao tea was analyzed, and the temperature and humidity conditions of Liupao tea were determined. The parameters of spore counting method applied to Liupao tea were optimized and the feasibility of spore counting method in predicting the mildew degree of Liupao tea was evaluated. The results showed that temperature below 25 ℃ and humidity below 70% were the best storage conditions for Liupao tea to prevent mildew. The increase level of spore number and the degree of mildew were synchronized. This method was feasible for rapid assessment of mildew of Liupao tea, and the critical value of the number of spores with mildew was preliminarily determined to be 30.00×107 ·g–1. The results of this study could provide a theoretical basis for the safe storage conditions of Liupao tea, and a new method for rapid assessment of its mildew degree.

ObjectiveThe content of nitrogen (N) and potassium (K) in the soil directly affects crop yield, making it a crucial indicator in agricultural production processes. Insufficient levels of the two nutrients can impede crop growth and reduce yield, while excessive levels can result in environmental pollution. Rapidly quantifying the N and K content in soil is of great importance for agricultural production and environmental protection.MethodsA rapid and quantitative method was proposed for detecting N and K nutrient ions in soil based on polydimethylsiloxane (PDMS) microfluidic chip electrophoresis and capacitively coupled contactless conductivity detection (C4D). Microfluidic chip electrophoresis enables rapid separation of multiple ions in soil. The electrophoresis microfluidic chips have a cross-shaped channel layout and were fabricated using soft lithography technology. The sample was introduced into the microfluidic chip by applying the appropriate injection voltage at both ends of the injection channel. This simple and efficient procedure ensured an accurate sample introduction. Subsequently, an electrophoretic voltage was applied at both ends of the separation channel, creating a capillary zone electrophoresis that enables the rapid separation of different ions. This process offered high separation efficiency, required a short processing time, and had a small sample volume requirement. This enabled the rapid processing and analysis of many samples. C4D enabled precise measurement of changes in conductivity. The sensing electrodes were separated from the microfluidic chips and printed onto a printed circuit board (PCB) using an immersion gold process. The ions separated under the action of an electric field and sequentially reach the sensing electrodes. The detection circuit, connected to the sensing electrodes, received and regulated the conductivity signal to reflect the variance in conductivity between the sample and the buffer solution. The sensing electrodes were isolated from the sample solution to prevent interference from the high-voltage electric field used for electrophoresis.Results and DiscussionsThe voltage used for electrophoresis, as well as the operating frequency and excitation voltage of the excitation signal in the detection system, had a significant effect on separation and detection performance. Based on the response characteristics of the system output, the optimal operating frequency of 1 000 kHz, excitation voltage of 50 V, and electrophoresis voltage of 1.5 kV were determined. A peak overshoot was observed in the electrophoresis spectrum, which was associated with the operating frequency of the system. The total noise level of the system was approximately 0.091 mV. The detection limit (S/N = 3) for soil nutrient ions was determined by analyzing a series of standard sample solutions with varying concentrations. The detection limited for potassium (K+), ammonium (NH4+), and nitrate (NO3‒) standard solutions were 0.5, 0.1 and 0.4 mg/L, respectively. For the quantitative determination of soil nutrient ion concentration, the linear relationship between peak area and corresponding concentration was investigated under optimal experimental conditions. K+, NH4+, and NO3‒ exhibit a strong linear relationship in the range of 0.5~40 mg/L, with linear correlation coefficients (R2) of 0.994, 0.997, and 0.990, respectively, indicating that this method could accurately quantify N and K ions in soil. At the same time, to evaluate the repeatability of the system, peak height, peak area, and peak time were used as evaluation indicators in repeatability experiments. The relative standard deviation (RSD) was less than 4.4%, indicating that the method shows good repeatability. In addition, to assess the ability of the C4D microfluidic system to detect actual soil samples, four collected soil samples were tested using MES/His and PVP/PTAE as running buffers. K+, NH4+,Na+, Chloride (Cl‒), NO3‒, and sulfate (SO43‒) were separated sequentially within 1 min. The detection efficiency was significantly improved. To evaluate the accuracy of this method, spiked recovery experiments were performed on four soil samples. The recovery rates ranged from 81.74% to 127.76%, indicating the good accuracy of the method.ConclusionsThis study provides a simple and effective method for the rapid detection of N and K nutrient ions in soil. The method is highly accurate and reliable, and it can quickly and efficiently detect the contents of N and K nutrient ions in soil. This contactless measurement method reduced costs and improved economic efficiency while extending the service life of the sensing electrodes and reducing the frequency of maintenance and replacement. It provided strong support for long-term, continuous conductivity monitoring.

ObjectiveCapacitive coupled contactless conductivity detection (C4D) plays an important role in agricultural soil nutrient ion detection. Effective identification of characteristic ion peaks in C4D signals is conducive to subsequent qualitative and quantitative analysis of characteristic ion peaks, which provides a basis for improving agricultural soil nutrient management. However, the detection of characteristic peaks in C4D signals still has shortcomings, such as the inability of automatic and accurate identification, complicated manual operation, and low efficiency.MethodsIn this study, an automatic spectral peak identification algorithm based on continuous wavelet transform combined with particle swarm optimization (PSO) and maximum interclass variance method (Otsu) was proposed to achieve accurate, efficient and automated identification of C4D signal peaks. Capillary electrophoresis (CE) combined with a C4D device (CE-C4D) was used to detect the standard ions and soil sample solutions to obtain the C4D ion signal spectra, which were simulated according to the characteristics of the real C4D signal spectra to obtain the C4D simulated signals containing single Gaussian peaks and multi-Gaussian peaks. The continuous wavelet transform was performed on the C4D spectrogram signal to obtain the wavelet transform coefficient matrix. The local maxima and local minima of the continuous wavelet transform coefficient matrix were searched by the staircase scanning method, and the local maxima and local minima were connected to form ridges and valleys. The wavelet coefficient matrix was converted to a gray-scale image by logistic mapping to visualize the data. The number of particle populations in PSO was set to 15, the gray scale threshold of 15 particles was set to a random integer within the gray scale level of 0~255, and the initial velocity of the particles was set to 5. The combination of PSO and Otsu calculated the fitness (variance value) of each particle, updated the individual best position and the global best position, further updated the velocities and positions of the particles to find the global best position (the maximum interclass variance), and defined the maximum interclass variance was defined as the optimal threshold value, used the optimal threshold value for background and target segmentation of the gray-scale image and extracted the ridges within the peak region segmented from the gray-scale image by the PSO-Otsu algorithm. A threshold was set according to the length of the ridge line; the ridge lines larger than the threshold were extracted; the valley lines on both sides of the ridge line were found according to the filtered ridge line; and the start and end points of the peak region were obtained from the valley lines. The filtered ridge lines were used to identify the peak location of the peak region, and the edge threshold was set to remove the false peaks due to continuous wavelet transform (CWT) located in the edge region of the C4D signal and to accurately identify the location of the true peak value.Results and DiscussionsThe datasets containing 41, 61 and 102 peaks were tested, and the Receiver Operating Characteristic (ROC) curves and metric values were used as a guideline to evaluate the performance of the peak detection algorithms. Compared to the two methods, multi scale peak detection (MSPD) and CWT-based image segmentation (CWT-IS), the CWT combined with Particle Swarm Optimization based maximum spectral peaks automatic identification algorithm based on Continuous Wavelet Transform combined with Particle Swarm Optimization of Otsu to segment image (CWTSPSO) method of interclass variance segmentation (CWT-IS), the ROC curves of the three groups remained above 0.9. Testing the dataset containing 102 peaks, the ROC curves of MSPD and CWT-IS were also high only in the case of high false discovery rate. The highest metric values of CWTSPSO were 0.976, 0.915, and 0.969, respectively, and the highest metric values of 1 set of MSPD and CWT-IS were 0.754 and 0.505. The results showed that the ROC curves of CWTSPSO in the 3 sets of dataset were not high. Using ROC curves and metric values as a criterion comparison to evaluate the performance of peak detection algorithms, the characteristic peak recognition performance was outstanding, which could achieve a higher correct rate while maintaining a lower false discovery rate, effectively detected more weak and overlapping peaks while detecting fewer false peaks, which was conducive to the enhancement of the spectral peak recognition rate and accuracy of the C4D signals.ConclusionsThis study provided a fast and accurate method for the identification of characteristic peaks in the spectrograms of ion signals detected by contactless conductivity, CWTSPSO could accurately identify the weak and overlapping peaks in the spectrograms of ion signals detected by contactless conductivity. The automatic identification algorithm of the spectrogram peaks of CWTSPSO would provide powerful support for the characterization and quantification of the signals of nutrient ions detected by contactless conductivity in agricultural soils and would further strengthen the precision of soil fertilization and crop growth management fertilization and crop growth management.

The research on electric drive wheel technology is an important direction of the research on the new energy drive system in the future. With the increasing requirements of the electric drive wheel on the speed, the oil churning power loss has become a non-negligible part, even up to 50%-80% of the total power loss. The existing calculation method of churning loss mainly adopts simple empirical formula, which cannot be applied to complex planetary gear transmission. The splash lubrication of the two-stage planetary gear drive is simulated by computational fluid dynamics (CFD) software and C language user defined function (UDF), and the visualization of oil gas two-phase transient flow field is realized; by extracting the surface pressure and the viscous force, the churning loss of the sun gears, planet gears and planet carriers are obtained; the simulation and analysis of the 25 working conditions show that the churning loss varies with the immersion depth and speed; the results show that the oil churning power loss increases with the oil immersion depth and the speed, and there is no obvious inflection point. To achieve the minimum oil stirring loss, the minimum oil immersion depth should be taken on the premise of ensuring full lubrication.

Cigarette ventilation characteristics are one of the important design factors that affect the combustion state and therefore smoke release. In order to study the changes of ventilation characteristics and the combustion state of cigarettes with different rod circumferences during smoking, a device was designed that could flexibly measure the different ventilation characteristics along the cigarette rod. The device was utilized to measure the changes of the total ventilation rate and filter ventilation rate of cigarettes with different rod circumference in both burned and unburned conditions. At the same time, a test method was implemented to measure the temperature of the combustion coal puff-by-puff during the smoking process. The relationship between ventilation and the combustion state was analyzed on a per-puff basis. The results show that with the decrease of the rod circumference from 24 mm to 20 mm and 17 mm, the total ventilation rate under burning conditions changed considerably compared with unburned conditions, increasing by 55.7%, 60.5% and 74.5% on average, respectively. The ventilation of the cigarette paper played a major role in regulating the ventilation during puffing. With the increase from 17 mm to 24 mm in circumference, the combustion efficiency of the tobacco decreased as indicated by a range of thermophysical parameters of the burning coal.

Objective·To explore the effect of screening the expression of long non-coding RNA (lncRNA) related to palmitoylation on prognosis of liver cancer based on The Cancer Genome Atlas (TCGA) database and construct a risk prediction model in liver cancer.Methods·The sequencing data and the corresponding clinical information of 374 liver cancer tissues and 50 normal tissue samples were downloaded from TCGA database. The differential zinc finger aspartate-histidine-histidine-cysteine domain (ZDHHC) between liver cancer tissues and normal tissues was used to construct the expression profile of lncRNA related to ZDHHC. Furthermore, the prediction model was constructed by LASSO regression algorithm and the validity of the model prediction was verified to analyze the relationship between high-risk and low-risk groups and immune function and to predict the response to immunotherapy.Results·There were 20 differentially expressed ZDHHCs in hepatocellular carcinoma, among which 656 lncRNAs were correlated with differential ZDHHCs (all P

ObjectiveThis study analysed blood donation deferral trends, reasons and demographic/lifestyle characteristics among students in Huzhou City. The aim was to understand the health status of students and reduce the deferral rate.MethodsData on blood donation deferral among students in Huzhou City from 2018 to 2022 were collected and analysed. Deferral trends and main reasons were investigated. Using demographic and lifestyle data from 2,619 cases in 2022, a risk prediction model for deferral was constructed.ResultsThe deferral rate among students in Huzhou City from 2018 to 2022 was 12.60% (p = 0.000, 95%CI: 12.14–13.06%), showing a significant increasing trend. Temporary deferral was the main reason, with alanine aminotransferase (ALT), blood pressure (BP) and haemoglobin (Hb) as the main deferral factors. ALT had a deferral rate of 5.23% (4.92–5.53%), BP 3.30% (3.06–3.55%), and Hb 2.92% (2.68–3.15%). Demographic and lifestyle characteristics in 2022 showed no significant differences between education level, household registration and deferral rate (p > 0.05). However, age, sex, blood donation history, sleep quality, diet and mental state had variable effects on ALT, BP, and Hb deferrals (p

【Objective】 Winter wheat is the second-largest stable crop in China and comprehending its growth and the factors affecting it on a large scale is crucial for food security. This paper aims to investigate the feasibility of using satellite imagery to accomplish this objective. 【Method】 The study is based on Sentinel-2 images. The spatial distribution of winter wheat planted from 2018 to 2020 in the studied region was extracted using the random forest method, which were then used to analyze the changes in wheat growth in rejuvenation, jointing, pregnant ear pumping, and flowering stages in each year. For comparison, we divided the growth into health growth, normal growth and poor growth. Wheat growth was linked to 11 abiotic and geographic factors, including temperature, precipitation, slope of the lands, slope aspect, elevation, soil type, soil moisture, sunshine time, population density, rural labor resources and GDP. 【Result】 Compared with 2018—2019, wheat in 2020 grew better during the greening and jointing stages in more than 90% of the studied area, but worse in the pregnant ear pumping stage in more than 20% of the studied area. Wheat growth was normal during the flowering stage in 80% of the studied area. The factors which affect winter wheat growth were ranked in the following order based on their significance: rural labor resources> soil moisture> precipitation> temperature> sunshine time. It was also found that the interaction between different factors in their impact on wheat growth is manifested as a bifold or nonlinear enhancement. 【Conclusion】 The change in winter wheat growth in the studied region is due to the complex interplay of multiple factors.

A novel concept is described here that utilizes externally applied heat to a solid rod of reconstituted tobacco biomass to form a stream of aerosol under progressively oxygen-deficient atmosphere. The boundary of auto-ignition was determined at oxygen concentrations of 0%, 5%, 10%, and 21% and then the effects of these different atmospheres on various parameters were studied. Experimental results indicated that the ignition temperature decreased with the increase of oxygen concentration and a negative temperature coefficient (NTC) for atmosphere with oxygen was observed at before but close to ignition temperature. Significant differences in the yields of CO and CO2 between oxygen and oxygen-free atmosphere were observed. The mass of aerosol produced under an inert atmosphere and reduced-oxygen atmosphere were characterized with selected volatile and semi-volatile components, phenols, aldehydes, and other organic compounds of interests. In addition, higher oxygen concentration resulted in higher bulk and surface oxygen content of solid-phase residue, the reduction of carbon and hydrogen element content and related functional groups, and the content of inorganic compounds also exhibited an increase with oxygen concentration. By systematically changing oxygen concentrations of the biomass bed with increasing temperatures, an aerosol stream of controlled chemical composition and yields could be formed without leading to ignition. Key chemical markers of inhalation harm were measured and compared to each other under different degrees close to combustion. Studying reconstituted tobacco or other biomass materials in such a way could provide alternative and useful information in the design heated biomass aerosol generators.

A lit cigarette forms a positive and negative pressure zone by a puff with respect to the position of its paper burn line. Smoke aerosols generated from the two zones are then pulled through the rod under the puff to form the mainstream smoke. This phenomenon is fundamental to the thermophysics and the resultant chemical composition of the mainstream smoke. In this study, we created two different airflow pathways inside a heated tobacco rod by a puff, and investigated the differences in aerosol formation and its chemical compositions. The two different pressure-induced conditions, one through an open-ended tobacco rod (marked as HNB, a label of a designed airflow pathway of commercial heated tobacco products called heat-not-burn prior), and the other through a closed-ended tobacco rod (marked as NSC, a label of a novel-designed airflow pathway of heated tobacco products), were compared for their aerosol collected mass (ACM), the contents of nicotine, water and added aerosol agents such as propylene glycol (PG) and glycerol (VG), as well as selected aldehydes and ketones in the mainstream aerosol. Aerosol particle distribution and the heated temperature along different rod locations were also compared during a puff. The results indicated marked differences in the aerosol formation processes between the two HNB and NSC systems. The transfer ratios of the main aerosol components were significantly higher for the NSC; the levels of formaldehyde and acetaldehyde were significantly lower under the NSC than the HNB condition. There were also significant differences for the aerosol particle number concentration (APNC) and count median diameter (CMD) for the two systems. The lack of convective heat transfer in the aerosol formation under the NSC condition resulted in a relatively stable thermal aerosol generation zone, reflected by the temperature difference between the two systems in the selected locations. The NSC mode of tobacco heating thus offers a novel and enhanced aerosol generation for heat tobacco product designs.

The most outstanding and influential composer of the Viennese classical school is Mozart, and the Piano Sonata in D Major (KV.576) is Mozart's last sonata, written in 1789. This paper will mainly focus on the first movement of KV.576, analysing it in detail from the compositional background, the period background, the performance technique, and the perception of the performance. KV.576 achieves balance and harmony by contrasting composition, theme, and texture. Instead of following the traditional style, Mozart's music reinterprets the new music with the vocabulary of the time to realize the aesthetic ideal of classical music.

Objective To investigate the current situation and potential influencing factors of cardio-pulmonary resuscitation (CPR)knowledge and first-aid skills among community-dwellings, and to evaluate the community-based CPR training program. Methods A random sample of 300 residents living in a certain community in Yingze District, Taiyuan were recruited for the field investigation. A community-based training group was established to provide CPR knowledge and first-aid skills training program for those recruited community-dwellings. The residents’ knowledge about CPR and related first-aid skills were assessed before and after training. Results A total of 300 valid questionnaires were received, and the recovery rate of survey was 93. 75%. The rates residents’ awareness about CPR theoretical knowledge such as diagnosis of sudden cardiac arrest were increased after training (P＜0. 01). The scores of CPR theory and first-aid skills evaluation after training were higher than those before training(P＜0. 01). Conclusion The community-based training is effective to improve the CPR awareness and first-aid skills among community-dwellings (目的 了解社区公众心肺复苏(CPR)认知现状及其影响因素, 探讨对社区公众进行CPR知识和急救技能培训的效果。方法 采用随机抽样方法对山西省太原市迎泽区共320名社区居民进行CPR相关知识的基线调查。成立院外CPR培训小组, 对社区居民进行CPR知识和急救技能培训。对比培训前和培训后社区居民对CPR理论知识和急救技能掌握情况。结果 共发放调查问卷320份, 回收300份, 回收有效率为93. 75%。培训后, 社区居民对心搏骤停判断、CPR体位等CPR理论知识知晓率较培训前提高, 差异有统计学意义(P＜0. 01)。培训后, 社区居民CPR理论知识与实践技能考核成绩较培训前提高, 差异有统计学意义(P＜0. 01)。结论 通过组建院外培训小组, 以社区为单位开展CPR知识和急救技能培训, 对社区公众掌握一定的急救技能及提高应急能力具有较好的效果。)

ObjectiveAn incident of foodborne diseases was investigated and analyzed to provide reference for the prevention of such incidents.MethodsSuspicious food， pathogenic factors and pollution sources were found through on­site epidemiological investigation， food hygiene investigation and laboratory testing.ResultsA total of 198 cases were searched， and the incidence rate was 50.13% （198/395）. The main symptoms were diarrhea （90.40%）， fever （87.88%） and abdominal pain （66.16%）， the average incubation period was 13.8 h （4-47 h）. Salmonella enteritidis was detected in 57 cases， 3 foods， 2 raw materials and 1 object surface. Pulsed field gel electrophoresis molecular traceability analysis was carried out on 3 foods， 2 food raw materials， 1 object surface and 11 randomly selected case samples. The result showed that the similarity of DNA fingerprints of the above samples was 100%.ConclusionThe incident was a foodborne disease caused by eating hot dog salad bread contaminated by Salmonella. It is suggested that the food regulatory authorities should strengthen the supervision of food production enterprises and the training of food safety related knowledge for food practitioners to avoid similar incidents.

At present, the intelligent video monitoring in coal mine mainly adopts cloud computing to process real-time video, and the video transmission occupies large network resources and has high delay, which can not respond to emergency events in the monitoring area in real time. In order to solve this problem, a real-time video processing system in coal mine based on edge-cloud collaborative framework is proposed. In this system, the real-time target recognition task is sent to the edge, and the tasks with large calculation and weak real-time performance such as edge device integration are sent to the cloud for processing. At the video monitoring site, the neural network model deployed on the edge device is used to process the video monitoring image locally. Through the underground heterogeneous fusion network, the processing results and model parameters of the edge devices in different network environments are sent to the cloud server. The cloud server updates and pushes the model of edge devices in each scene, and finally realizes real-time interaction of edge-cloud data and online optimization of edge services. In order to solve the problems that Tiny-YOLOv3 can not extract the deep characteristic of the image, and is prone to gradient disappearance and over-fitting, a down-sampling residual module is designed according to the residual structure, and Tiny-YOLOv3 is improved to improve the deep characteristic extraction and generalization capability of the model. On the basis of edge-cloud data interaction, the target detection model on the edge device is optimized for the targeted scene to improve the accuracy of model detection on the edge device. The test results show that the stability and data generalization capability of the improved Tiny-YOLOv3 model are better than those of YOLO and Tiny-YOLOv3. After specialized training in a single scene, the improved Tiny-YOLOv3 model is more accurate in target recognition. Compared with cloud computing, the edge-cloud collaborative framework can reduce the latency of monitoring video processing significantly.

Objective To investigate the effect of casein kinase 2 interacting protein-1 (CKIP-1) on craniofacial soft tissues and hard tissues, to provide the basis for the study and treatment of craniomaxillofacial related diseases. Methods 6-month- old male CKIP-1 knockout (KO) mice were selected as the experimental group, and wild-type (WT) mice were selected as the control group. The craniomaxillofacial hard tissues (parietal bone, nasal bone, incisors and molars) were analyzed through micro- CT, and the morphological changes of maxillofacial soft tissues (nasal cartilage, lip mucosa and tongue) were analyzed through HE staining and toluidine blue staining. Results CKIP-1 negatively regulated bone mass of cancellous bone of cranial and maxillofacial bones and dentin mineralization. Compared with the WT mice, the thickness of the parietal baffle layer increased by 93% in KO mice, while cortical bone showed no significant difference between the two groups. The nasal cancellous bone thickness increased by 160% in KO-mice, while cortical bone showed no significant difference between the two groups; the enamel thickness was normal, but the pulp cavity became smaller and the dentin thickness increased by 48%. Compared with the WT mice, the HE staining and toluidine blue staining analyses of the soft tissues revealed that the thickness of the alar cartilage plate of KO mice increased by 57%, and local ossification was found within the cartilage plate. The thickness of the keratinized layer of the labial mucosa increased by 170% in KO mice and the muscle fiber diameter of the lingual muscle increased by 45%. Conclusion CKIP-1 genes have different effects on the growth and development of various soft and hard tissues in the maxillofacial region of mice.

Pansharpening aims to sharpen a low-resolution multi-channel multispectral(MS) image from a high-resolution single-channel panchromatic(PAN) image to obtain a high resolution multispectral(HRMS) image,which is an important task in remote sensing image processing.A feedback network based on perceptual loss is proposed.First,the detail information and the spectral information are extracted from the PAN image and the MS image respectively,and then they are combined to use the stacked up-and down-sampling layers and dense connections for information fusion.The feedback connection is used to enrich the low-level information with high-level information.Finally,the HRMS image is reconstructed.Compared with the traditional pansharpening algorithms,the proposed algorithm uses the PAN image and the HRMS image as the supervision of the network,and the output image contains richer spatial detail information by obtaining the perceptual loss of the PAN image and the network reconstructed HRMS image.The experimental results show that the proposed algorithm has better results than the widely used algorithms both in objective evaluation and visual perception.

The partial discharge occurs in IGBT device module of mine equipment.which leads to the breakdown of insulation and burns the device.In this paper the causes and characteristics of pd in IGBT module were studied.Therefore, based on the research of material structure, the partial discharge process model for the internal circuit of IGBT device module in coal mine equipment, which is under ultra-high slope pulse square wave, is innovatively proposed and verified by experiments.Then, the partial discharge characteristics of the device module under monopulse or repeated pulses are tested by the experimental platform, and the influence of the pulse rise time and pulse width on the partial discharge of the internal circuit of the device module is analyzed.According to the experiment results of partial discharge under a single pulse, the prediction formula for predicting and calculating the partial discharge initial voltage is innovatively proposed and verified.A certain reference for the insulation design and performance conditions of IGBT device modules in mine equipment is provided.

The dissolution characteristics and electrochemical reduction mechanism of oxides of refractory metals ZrO2, HfO2 and MoO3 in NaCl-KCl-NaF melts are studied. The results shows that there are no chemical reaction of ZrO2 and HfO2 in NaCl-KCl-NaF melts, the dissolution of MoO3 is chemically dissolved, and MoO3 reactwith melts to form Na2Mo2O7. The reduction process of zirconium in the NaCl-KCl-NaF-ZrO2 melts is a reversible process of one-step electron transfer controlled by diffusion. The electrochemical reduction process of ruthenium is a one-step reversible process and the product is insoluble; Electrochemical reduction of metallic molybdenum in melts is controlled by the diffusion and electron transfer process of active ion Mo2O27− . The electrochemical reduction process of the metal molybdenum in the melts is carried out in two steps.

In this paper, by studying the change rule of zero sequence voltage when single-phase leakage occurs, the detection method of insulation decline of mine cables is studied, especially the additional low-frequency signal sampling technology of power cables. Combined with the conventional leakage protection technology, the online monitoring equipment and supporting software for the insulation parameters of power cables are developed to realize the online monitoring of the insulation of each branch cable of the mine low-voltage power supply system and achieve the purpose of selective leakage protection.

The lubricating oil heat diffusion ejector of a certain aircraft engine under the condition of engine idling on ground in the hot weather has the problem of low lubricating oil temperature drop after its turning on. The flow process of cool-side air flue of lubricating oil heat diffusion system is analyzed, and the ejector performance analysis method under severe conditions is explored. Based on N-S equations and k-ε turbulence model, the ejector performance is calculated and verified by test, and the lubricating oil temperature drop values before/after ejector turning on under severe conditions are obtained. The improvement scheme of ejector performance available in engineering is proposed on the basis of numerical calculation results. The results of the on-board ground test show that the calculation method is reasonable, and numerical simulation results are consistent with the test results, which meets the requirements of general engineering calculations, and provides a theoretical method for the performance analysis of an ejector.

Background: The sulfonylurea receptor 1–transient receptor potential melastatin 4 (SUR1–TRPM4) channel is a target key mediator of brain edema. Sulfonylureas (SFUs) are blockers of the SUR1–TRPM4 channel. We made two assessments for the pretreatment of SFUs: (1) whether it associates with lower perihematomal edema (PHE) and (2) whether it associates with improved clinical outcomes in diabetic patients who have acute basal ganglia hemorrhage.Methods: This retrospective case-control study was conducted in diabetic adults receiving regular SFUs before the onset of intracerebral hemorrhage (ICH). All of the patients received the clinical diagnosis of spontaneous basal ganglia hemorrhage. The diagnosis was confirmed by a CT scan within 7 days after hemorrhage. For each case, we selected two matched controls with basal ganglia hemorrhage based on admission time (≤5 years) and age differences (≤5 years), with the same gender and similar hematoma volume. The primary outcome was PHE volume, and the secondary outcomes were relative PHE (rPHE), functional independence according to modified Rankin Scale score and Barthel Index at discharge, and death rate in the hospital.Results: A total of 27 patients (nine cases and 18 matched controls), admitted between January 1, 2009 and October 31, 2018, were included in our study. There was no significant association between SFU patients and non-SFU patients on PHE volumes [15.4 (7.4–50.2 ml) vs. 8.0 (3.1–22.1) ml, p = 0.100]. Compared to non-SFU patients, the SFU patients had significantly lower rPHE [0.8 (0.7–1.3) vs. 1.5 (1.2–1.9), p = 0.006]. After we adjusted the confounding factors, we found that sulfonylureas can significantly reduce both PHE volume (regression coefficient: −13.607, 95% CI: −26.185 to −1.029, p = 0.035) and rPHE (regression coefficient: −0.566, 95% CI: −0.971 to −0.161, p = 0.009). However, we found no significant improvement in clinical outcomes at discharge, in the event of pretreatment of SFUs before the onset of ICH, even after we adjusted the confounding factors.Conclusion: For diabetic patients with acute basal ganglia hemorrhage, pretreatment of sulfonylureas may associate with lower PHE and relative PHE on admission. No significant effect was found on the clinical outcomes when the patients were discharged. Future studies are needed to assess the potential clinical benefits using sulfonylureas for ICH patients.

Composite material is used in the wing structure of M2 light sport aircraft. The strength of the wing is verified by static test. It is of great significance to find the weak links in the wing structure design and the structural modification and development. Firstly, the requirements of strength airworthiness clause of ASTM F2245-16 wing are analyzed. Then, the composite wing loads are calculated by studying the load envelope, environmental impact factor, limiting load and ultimate load of M2 aircraft. Finally, the static test of wing limited load, wing ultimate load and wing damage load are carried out, and the test results are analyzed. The results show that the ultimate load of M2 aircraft meets the test requirements, the deviation of the damage load of composite wing test from the design limit load is 2%, and the structural design of composite wing of M2 aircraft meets the static strength design requirements.

Premixed gas explosion pipe system was established to study the change rule of explosion pressure and pressure rise rate of 10% methane/ air premixed gas under four condition that no material was filled, used material was filled, new materials was filled and cleaned materials was filled in explosive pipe. The results show that compared with the used material and cleaned material, the average maximum explosion pressure was reduced by 21.62% and the average pressure rise rate decreased by 84.80%. The results show that the suppression performance of used aluminum alloy explosion-proof materials improved greatly after the used materials is cleaned.

A new lead(II)-organic architecture [Pb(HL) (dipyrido[3,2-a:2′,3′-c]phenazine (dppz))](H2O)2 (1) was successfully prepared under hydrothermal conditions by using organic-acid linker 5-((4-carboxyphenoxy)methyl) benzene-1,3-dioic acid (H3L) and N-donor chelating ligand dppz. The as-prepared complex was characterized by single-crystal X-ray structural analysis, powder X-ray diffraction (PXRD), and elemental analyses, which reveals that complex 1 shows a one-dimensional (1D) chain-like structure that is further extended to the 3D supermolecular network through H-bond and π-π interactions. Complex 1 was transformed to the nanoscale regime (ca. 190 nm) by mechanical grinding to yield the nano-1, maintaining its structure and crystallinity. Furthermore, the anticancer activity of the nano-1 toward the human neuroglioma cells (U251, U87, SHG-44, and A172) was evaluated via the MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide) assay.

Mechanical damage can cause immediate or delayed failure of the pipe. The dent is the main form of mechanical damage. According to the Oyane ductile fracture criterion, the finite element method was used to simulate the axial simple dent caused by the construction stage. Analyzed the change of pipeline ductile damage degree in different pit sizes, pipe sizes and pipe pressures, the relationship between the dents depth and the ductile damage degree is obtained, which provides the theoretical basis for the safe design of the oil and gas pipelines with axial indentation during the construction stage.

Because of the increasingly rigid and complex operating conditions for multi-stage pumps, the annular seal is playing an important role in determining the dynamic characteristics of a rotor system. The annular seal can prevent fluid leakage to ensure that the pump system can satisfy the design requirements, such as the head and efficiency. However, the fluid-induced force that is caused inside the annular seal by the pressure reduction and nonconcentric motion directly acted on the rotor system, which presents transient characteristics with a variation in the operating conditions. Based on the Euler angle transformation and the finite element method, the differential equations of motions for impeller and shaft were determined in this study, and the coupled effects, including the fluid-induced force of the annular seal and multiple axial forces, were considered. These equations of motions and coupled effects were conducted to investigate the effect of the annular seal on the lateral-axial bi-direction coupled vibration for a multi-stage pump rotor system. Finally, the lateral-axial bi-direction coupled vibration model for a multi-stage pump wet rotor was integrated with the matrix operation,and the corresponding coupled transient dynamics were solved using the Newmark method. The changing rules of the coupled vibration characteristics and fluid-induced force were mainly investigated for different sealing lengths, pressure drops, and clearances. The calculated results imply that the influence of the annular seal on the Lomakin effect for rotor lateral vibration becomes increasingly obvious with increasing length and pressure drop and with decreasing clearance. The convergence rate for the lateral vibration is observed to be faster than that for the axial vibration, and the vibration frequencies for the lateral-axial bi-direction presents different features. Furthermore, the fluid-induced force between the sealing lengths presents a nonlinear relation, whereas that between the pressure drop and clearance exhibits a linear relation.