Exploration of hidden structure and prediction of gas anomaly area based on gas control projects

The investigation of hidden structures and the prediction of gas abnormal area form the foundation of gas disaster prevention engineering. In accordance with the laws and regulations governing coal mining in our country, a gas pumping project must be implemented prior to mining coal seams with a gas hazard. Typically, geologic anomaly area represent gas hazard zones, where the combination of tectonic stress field and mining-induced stress field can disturb coal bodies and pressurize gas. To accurately locate geologic anomaly areas and evaluate their gas disaster potential, a gas geologic anomaly survey method has been proposed based on gas extraction projects. This method uses drilling parameters and records to calculate the coordinates of the control points of the coal seam roof and bottom, and then utilizes two-dimensional projection diagrams and three-dimensional stress field models to survey and forecast small, hidden geological structures (such as small faults, folds, and locally abnormal coal thicknesses). By analyzing the additional stress field surrounding small geological structures, gas disaster potential can be dynamically predicted. The application of this method enables the detailed investigation of geological anomalies and reveals the general pattern of gas geological evolution at coal mining worksites. The research results provide a scientific basis for the optimal design and effective implementation of disaster prevention and control measures for coal seams with high gas content or at risk of gas outbursts

A new p-terphenyl derivative from the insect-derived fungus Aspergillus candidus Bdf-2 and the synergistic effects of terphenyllin

A new p-terphenyl derivative 4″-deoxy-2′-methoxyterphenyllin (1), along with six known p-terphenyl derivatives (2–7), a known flavonoid derivative dechlorochlorflavonin (8) and a known fellutanine A (9), were isolated from the insect-derived strain of the fungus Aspergillus candidus Bdf-2, associated with Blaptica dubia. The structure of 1 was established by the analysis of the 1D and 2D NMR and HR-ESI-MS spectra. Compounds 1–9 were evaluated for antibacterial activities against Staphylococcus aureus ATCC29213, Escherichia coli ATCC25922 and Ralstonia solanacearum, and for antioxidant activities. Synergistic effects of compound 2 with the other compounds were also investigated. As a result, compound 6 displayed the best antibacterial activities in all single compound with MIC value of 32 µg/mL against S. aureus ATCC29213 and R. solanacearum, respectively. However, no antibacterial effect against E. coli ATCC25922 was detected from any single compound. The combination of 2 + 6 exhibited obvious synergistic effect against S. aureus ATCC29213 and the MIC value was 4 µg/mL. Compound 6 also showed the best antioxidant activity as a single compound with an IC50 value of 17.62 µg/mL. Combinations of 5 + 6, 2 + 4 + 5 and 2 + 4 + 5 + 6 displayed synergistic effect and their antioxidant activities were better than that of any single compound

Recombination Monophosphoryl Lipid A-Derived Vacosome for the Development of Preventive Cancer Vaccines

Recently, there has been an increasing interest for utilizing the host immune system to fight against cancer. Moreover, cancer vaccines, which can stimulate the host immune system to respond to cancer in the long term, are being investigated as a promising approach to induce tumor-specific immunity. In this work, we prepared an effective cancer vaccine (denoted as vacosome) by reconstructing the cancer cell membrane, monophosphoryl lipid A as a toll-like receptor 4 agonist, and egg phosphatidylcholine. The vacosome triggered and enhanced bone marrow dendritic cell maturation as well as stimulated the antitumor response against breast cancer 4T1 cells in vitro. Furthermore, an immune memory was established in BALB/c mice after three-time preimmunization with the vacosome. After that, the immunized mice showed inhibited tumor growth and prolonged survival period (longer than 50 days). Overall, our results demonstrate that the vacosome can be a potential candidate for clinical translation as a cancer vaccine.Peer reviewe

A pH-Responsive Cluster Metal-Organic Framework Nanoparticle for Enhanced Tumor Accumulation and Antitumor Effect

As a result of the deficient tumor-specific antigens, potential off-target effect, and influence of protein corona, metal–organic framework nanoparticles have inadequate accumulation in tumor tissues, limiting their therapeutic effects. In this work, a pH-responsive linker (L) is prepared by covalently modifying oleylamine (OA) with 3-(bromomethyl)-4-methyl-2,5-furandione (MMfu) and poly(ethylene glycol) (PEG). Then, the L is embedded into a solid lipid nanoshell to coat apilimod (Ap)-loaded zeolitic imidazolate framework (Ap-ZIF) to form Ap-ZIF@SLN#L. Under the tumor microenvironment, the hydrophilic PEG and MMfu are removed, exposing the hydrophobic OA on Ap-ZIF@SLN#L, increasing their uptake in cancer cells and accumulation in the tumor. The ZIF@SLN#L nanoparticle induces reactive oxygen species (ROS). Ap released from Ap-ZIF@SLN#L significantly promotes intracellular ROS and lactate dehydrogenase generation. Ap-ZIF@SLN#L inhibits tumor growth, increases the survival rate in mice, activates the tumor microenvironment, and improves the infiltration of macrophages and T cells in the tumor, as demonstrated in two different tumor-bearing mice after injections with Ap-ZIF@SLN#TL. Furthermore, mice show normal tissue structure of the main organs and the normal serum level in alanine aminotransferase and aspartate aminotransferase after treatment with the nanoparticles. Overall, this pH-responsive targeting strategy improves nanoparticle accumulation in tumors with enhanced therapeutic effects.</p

Single cell atlas for 11 non-model mammals, reptiles and birds.

The availability of viral entry factors is a prerequisite for the cross-species transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Large-scale single-cell screening of animal cells could reveal the expression patterns of viral entry genes in different hosts. However, such exploration for SARS-CoV-2 remains limited. Here, we perform single-nucleus RNA sequencing for 11 non-model species, including pets (cat, dog, hamster, and lizard), livestock (goat and rabbit), poultry (duck and pigeon), and wildlife (pangolin, tiger, and deer), and investigated the co-expression of ACE2 and TMPRSS2. Furthermore, cross-species analysis of the lung cell atlas of the studied mammals, reptiles, and birds reveals core developmental programs, critical connectomes, and conserved regulatory circuits among these evolutionarily distant species. Overall, our work provides a compendium of gene expression profiles for non-model animals, which could be employed to identify potential SARS-CoV-2 target cells and putative zoonotic reservoirs

4D gas geological research on coal seam with gas hazard potential in mining panel

According to regulations of the mining industry in China, it is necessary to carry out gas hazard prevention projects in advance when mining coal seams with gas hazard potential, and gas geological research should be taken as the basic work for optimal design and effective construction of gas hazard prevention projects. Research on coal seam with gas hazard potential have shown that anomalous geological area could be the gas hazard potential area as well, where superimposed tectonic and mining stress field usually results in tectonically disturbed coal and pressured gas. A 4D gas geological research method is used to find out the anomalous geological area and assess its gas hazard potential. The method covers two ranges of gas geological research: fine geological survey and 4D analysis. The former includes a comprehensive prospect of concealed small geological anomalies (such as small fault, small fold and coal thickness variation) by use of gas extraction projects; The latter includes a dynamic forecast of gas hazard potential from space-time perspective based on numerical simulation analysis on additional stress fields around small geological structures beyond coal mining face. Its research benefit the optimal design and effective implementation of gas hazard prevention measures in coal mining panel with high coal and gas outburst potential

Partition Selection for Large-Scale Data Management Using KNN Join Processing

For the data processing with increasing avalanche under large datasets, the k nearest neighbors (KNN) algorithm is a particularly expensive operation for both classification and regression predictive problems. To predict the values of new data points, it can calculate the feature similarity between each object in the test dataset and each object in the training dataset. However, due to expensive computational cost, the single computer is out of work to deal with large-scale dataset. In this paper, we propose an adaptive vKNN algorithm, which adopts on the Voronoi diagram under the MapReduce parallel framework and makes full use of the advantages of parallel computing in processing large-scale data. In the process of partition selection, we design a new predictive strategy for sample point to find the optimal relevant partition. Then, we can effectively collect irrelevant data, reduce KNN join computation, and improve the operation efficiency. Finally, we use a large number of 54-dimensional datasets to conduct a large number of experiments on the cluster. The experimental results show that our proposed method is effective and scalable with ensuring accuracy

Child Maltreatment and Resilience: The Promotive and Protective Role of Future Orientation

Maltreatment is associated with risk for a wide range of socio-emotional and behavioral problems in adolescence. Despite this risk, many maltreated youth adjust well through the process of resilience. Extant research demonstrates that future orientation is linked to reduced risks for maladjustment in adolescence. Few studies, however, have tested the protective and promotive role of future orientation using positive and negative developmental outcomes among maltreated youth. The present study aimed to investigate the promotive and moderating role of future orientation among a longitudinal sample of maltreated and demographically comparable non-maltreated youth (N = 1,354, 51.5% female, 53.2% African American). Data collected from Time 1 (Mage = 4.56, SDage = .70) to Time 8 (Mage = 18.514, SDage = .615) were used. Compared to the non-maltreated youth, maltreated youth showed increased delinquent behaviors and reduced self-esteem. In addition, future orientation significantly predicted higher levels of social competence and attenuated the adverse effects of maltreatment on youth delinquency and substance use. The findings highlight the role of future orientation in the development of resilience among maltreated youth, bearing significant contributions to prevention and intervention programs designed to protect youth against risks linked to child maltreatment and promote their positive development

The enhanced adsorption of layered double hydroxides modification from single to ternary metal for fluoride by TEA-assisted hydrothermal method

Layered double hydroxides (LDHs) have attracted increasing attention as promising candidates by anion exchanges and selective adsorption in the fluoride treatment field. In this study, three new ternary Zn-Co-Cr-LDHs were synthesized by primarily a one-step TEA-assisted hydrothermal process at various times. They were characterized by X-ray powder diffraction, thermogravimetric analysis, scanning electron microscopy, X-ray photoelectron spectroscopy, N2 gas adsorption and desorption curves and zeta potential. The effects of dosage amount, reaction duration, initial solution pH, temperature, and co-existing ions were evaluated systematically for the Zn-Co-Cr-LDHs in fluoride removal process. Compared to Zn-LDHs and Zn-Co-LDHs, three Zn-Co-Cr-LDHs showed excellent adsorption performance for F- with maximum adsorption amounts of 108.87 mg/g, 97.27 mg/g, and 97.62 mg/g, respectively. The coexisting anions have less effect on the adsorption of F-. The introduction Cr3+ ion modulation in the Zn-Co-LDHs greatly improved the adsorption of fluoride ions. The kinetic process of fluoride ion adsorption is in accordance with the quasi-secondary kinetic model and the Elovich model, and the adsorption isotherm is in accordance with the Langmuir model. The quasi-secondary kinetic and Elovich models suggest that the process is chemisorption-controlled ion exchange adsorption. Zn-Co-Cr-LDHs are expected to have potential applications in fluoride removal process