Experimental study on performance of rubber-fly ash-based mine floor fissure grouting material

In response to the current challenges of high water pressure and easy conduction in kilometer deep wells, we propose the “hydrophobic pressure reduction, slurry reinforcement” mine water control technology, which requires slurry materials with “high strength, strong stability, easy flow, low cost” and other properties. “High strength” can be achieved by adding nano-reinforced materials. “Strong stability” can be achieved by preferentially selecting easy-to-consolidate and difficult-to-disperse raw materials and adjusting the mixing conditions. “Stable flow” can be achieved by adjusting the particle size of added raw materials and increasing the interfacial friction. “Low cost” can be achieved by using existing large-scale industrial and mining solid waste products that are in urgent need of treatment, supplemented by a small amount of additives. In view of the above problems, this paper aims at reinforcing the coal seam floor with slurry, and takes the large-scale utilization of industrial and mining wastes as the direction. By using waste tire rubber particles, fly ash and clay as the main materials, supplemented with a small amount of admixtures, the orthogonal test method is used to carry out experimental research on the basic performance of solid waste slurry filling materials. The effects of different rubber particle admixtures and admixtures were analyzed in the paper, and their effects on the flowability, mechanical properties, stability in mine water environment, impermeability and microstructural properties of the grouted stone body were derived. The research results show that when rubber particles are mixed with 20%, fly ash with 65%, clay with 15%, and nano-silica with 1% of solid powder, the flow of the grouted slurry is 293 mm, the 28 d compressive strength of the grouted stone body is 11.7 MPa, and the seepage pressure of the stone body is 0.8 MPa, and the obtained test results can meet the demand of field grouting reinforcement, which is useful for The obtained test results can meet the demand for on-site grouting reinforcement, which has scientific reference value for large-scale bottom slab fracture grouting reinforcement and also provides reference for large-scale utilization of solid waste products

Continuous and Noninvasive Measurement of Arterial Pulse Pressure and Pressure Waveform using an Image-free Ultrasound System

The local beat-to-beat local pulse pressure (PP) and blood pressure waveform of arteries, especially central arteries, are important indicators of the course of cardiovascular diseases (CVDs). Nevertheless, noninvasive measurement of them remains a challenge in the clinic. This work presents a three-element image-free ultrasound system with a low-computational method for real-time measurement of local pulse wave velocity (PWV) and diameter waveforms, enabling real-time and noninvasive continuous PP and blood pressure waveforms measurement without calibration. The developed system has been well-validated in vitro and in vivo. In in vitro cardiovascular phantom experiments, the results demonstrated high accuracy in the measurement of PP (error < 3 mmHg) and blood pressure waveform (root-mean-square-errors (RMSE) < 2 mmHg, correlation coefficient (r) > textgreater 0.99). In subsequent human carotid experiments, the system was compared with an arterial tonometer, which showed excellent PP accuracy (mean absolute error (MAE) = 3.7 +- 3.4 mmHg) and pressure waveform similarity (RMSE = 3.7 +- 1.6 mmHg, r = 0.98 +- 0.01). Furthermore, comparative experiments with the volume clamp device demonstrated the system's ability to accurately trace blood pressure changes (induced by deep breathing) over a period of one minute, with the MAE of DBP, MAP, and SBP within 5 +- 8 mmHg. The present results demonstrate the accuracy and reliability of the developed system for continuous and noninvasive measurement of arterial PP and blood pressure waveform measurements, with potential applications in the diagnosis and prevention of CVDs.Comment: 13 pages, 12 figure

Stabilizing economic growth: Growth target and government expenditure since World War II

This paper investigates how the government stabilizes economic growth from the perspective of government expenditure. We contribute a method to identify the government expenditure aimed at stabilizing growth and empirically examine it using a dataset of economic growth targets. We find that when the economy encounters adverse shocks, government expenditure increases significantly by 1.1 percentage points on average for every one percentage point increase in the growth target. We document the following patterns of stabilizing growth: (1) government increases expenditure on economic affairs rather than on other functions; (2) government expenditure is financed by current revenue; and (3) it is a temporary behavior to stabilize growth. This paper also suggests that stabilizing growth by increasing government expenditure is a global phenomenon

Lymph node dissection effectively shortens the course of anti-tuberculosis treatment

Objective: To evaluate the clinical efficacy of postoperative ultra-short-course chemotherapy in treating cervical lymph node tuberculosis in the Wuhan region. Methods: Follow-up of patients in the surgery and non-surgery group after discharge, evaluating the number of cervical lymph nodes during the administration of antituberculosis drugs. Results: The age of the patients in the surgical therapy group ranged from 6 to 83 years old with an average age of 45 and a standard deviation of 20. The number of cervical lymph nodes in the patients ranged from 1.61 to 8.15. The average antituberculosis treatment duration before surgery for patients in the surgical group was 98.02 days, while for patients in the non-surgical group it was 96.13 days. The average length of hospital stay for patients receiving surgical treatment was 12.76 days, while for patients receiving non-surgical treatment it was 8.74 days. The average antituberculosis treatment duration after discharge for patients in the surgical group was 205 days, with a standard deviation of 42.39, while for patients in the non-surgical group it was 372 days, with a standard deviation of 71.54. The T-test results for antituberculosis treatment during hospitalization and after discharge were 98.3x10-10 and 5.02x10-67, respectively. Conclusion: After surgical treatment of cervical lymph node tuberculosis, the effectiveness of a 4–6 month short-course chemotherapy in Wuhan region is not weaker than the effectiveness of a conventional 6–9 month drug treatment

Sulfated Chinese Yam Polysaccharides Alleviate LPS-Induced Acute Inflammation in Mice through Modulating Intestinal Microbiota

This study aimed to test the preventive anti-inflammatory properties of Chinese yam polysaccharides (CYP) and sulfated Chinese yam polysaccharides (SCYP) on LPS-induced systemic acute inflammation in mice and investigate their mechanisms of action. The results showed that SCYP can efficiently reduce plasma TNF-α and IL-6 levels, exhibiting an obvious anti-inflammation ability. Moreover, SCYP reduced hepatic TNF-α, IL-6, and IL-1β secretion more effectively than CYP, and significantly altered intestinal oxidative stress levels. In addition, a 16S rRNA gene sequencing analysis showed that CYP regulated the gut microbiota by decreasing Desulfovibrio and Sutterella and increasing Prevotella. SCYP changed the gut microbiota by decreasing Desulfovibrio and increasing Coprococcus, which reversed the microbiota dysbiosis caused by LPS. Linear discriminant analysis (LDA) effect size (LEfSe) revealed that treatment with CYP and SCYP can produce more biomarkers of the gut microbiome that can promote the proliferation of polysaccharide-degrading bacteria and facilitate the intestinal de-utilization of polysaccharides. These results suggest that SCYP can differentially regulate intestinal flora, and that they exhibit anti-inflammatory effects, thus providing a new reference to rationalize the exploitation of sulfated yam polysaccharides

Altered lipid levels in untreated patients with early polymyositis.

BACKGROUND: Little is known so far on the lipid profile in polymyositis (PM) patients. Our aim is to identify lipid profiles in untreated patients with early PM, to assess the association between lipid profiles and C-reactive protein (a sensitive marker of inflammation) in these patients. METHODS AND FINDINGS: This work was conducted as a case-control study. Sixty untreated patients with PM and 60 age- and sex-matched healthy controls were included. The duration of PM was less than six months, and none of them had received intermittent or regular corticosteroids or disease-modifying antirheumatic drugs or biological agents prior to the study. Triglyceride (TG), total cholesterol (TC), LDL-cholesterol (LDL-C), and HDL-cholesterol (HDL-C), and C-reactive protein (CRP) were assessed using standard techniques. Thirty patients (50%) had a decreased level of HDL-C and 47% had an increased level of TG. The levels of HDL-C, LDL-C, and TC in PM were significantly lower than in controls (P<0.001, P<0.01, P<0.001, respectively). The level of TG was significantly higher in PM than in controls (P<0.001). The level of very low LDL-cholesterol (VLDL-C), and the ratios of VLDL-C/LDL-C, TC/HDL-C, and LDL-C/HDL-C were significantly higher than in controls (all P<0.001). Serum CRP levels correlated negatively with HDL-C (r = -0.352, P = 0.006) and TC (r = -0.262, P = 0.043). After adjustment for age, gender, smoking, drinking, body mass index, and pulmonary fibrosis/infection, linear regression model demonstrated that CRP is associated with HDL-C among PM patients (P = 0.028). CONCLUSIONS: Dyslipidemia is a common feature in patients with PM that is characterized by a decrease in HDL-C and an increase in TG, suggesting a high risk of atherosclerosis. The Inflammatory condition in PM may account for the metabolism of HDL-C

Complete mitochondrial genome of cylicocyclus auriculatus: molecular structure and phylogenetic analysis

Cylicocyclus spp. (Nematoda: Strongylida: Cyathostominae) are the common and important parasitic nematodes found in horses and donkeys worldwide. In this study, the complete mitochondrial genome of Cylicocyclus auriculatus Looss 1900, a representative member of this genus from the donkey in Southwest China was determined using the next-generation DNA sequencing technology. The genome was 13,851 bp in size and consisted of 36 genes including 12 protein-coding genes (atp6, cox1-3, cytb, nad1-6 and nad4L), 22 transfer RNA genes and two ribosomal RNA genes (rrnL and rrnS), as well as two non-coding regions. Phylogenetic analysis showed that C. auriculatus and Cylicocyclus insigne Boulenger 1917 were closely related, and then both grouped with other congeneric species and formed a monophyletic relationship with either species of Cyathostomum, Coronocyclus, Cyathostomum, Cylicostephanus or Cylicodontophorus, demonstrating their phylogenetic stability within Cyathostominae. These cumulative mitochondrial DNA data provide novel and useful genetic markers for molecular diagnostic, systematic and evolutionary biological studies of Cyathostominae nematodes

Psychological Stress Detection According to ECG Using a Deep Learning Model with Attention Mechanism

To satisfy the need to accurately monitor emotional stress, this paper explores the effectiveness of the attention mechanism based on the deep learning model CNN (Convolutional Neural Networks)-BiLSTM (Bi-directional Long Short-Term Memory) As different attention mechanisms can cause the framework to focus on different positions of the feature map, this discussion adds attention mechanisms to the CNN layer and the BiLSTM layer separately, and to both the CNN layer and BiLSTM layer simultaneously to generate different CNN-BiLSTM networks with attention mechanisms. ECG (electrocardiogram) data from 34 subjects were collected on the server platform created by the Institute of Psychology of the Chinese Academy of Science and the researches. It verifies that the average accuracy of CNN-BiLSTM is up to 0.865 without any attention mechanism, while the highest average accuracy of 0.868 is achieved using the CNN-attention-based BiLSTM.</p