Chlorophyllin Modulates Gut Microbiota and Inhibits Intestinal Inflammation to Ameliorate Hepatic Fibrosis in Mice

Liver fibrosis is an abnormal wound healing response and a common consequence of chronic liver diseases from infection or alcohol/xenobiotic exposure. At the cellular level, liver fibrosis is mediated by trans-differentiation of hepatic stellate cells (HSCs), which is driven by persistent hepatic and systemic inflammation. However, impaired enterohepatic circulation and gut dysbiosis may indirectly contribute to the liver fibrogenesis. The composition of the gut microbiota depends on diet composition and host factors. In this study, we examined chlorophyllin, derived from green pigment chlorophyll, on gut microbiota, the intestinal mucosal barrier, and liver fibrosis. BALB/c mice received carbon tetrachloride through intraperitoneal injection to induce liver fibrosis and chlorophyllin was administrated in drinking water. The effects of chlorophyllin on liver fibrosis were evaluated for (1) survival rate, (2) hepatic morphologic analysis, (3) inflammatory factors in both the small intestine and liver, and (4) gut microbiota. Our results indicate that oral administration of chlorophyllin could attenuate intestinal and hepatic inflammation and ameliorate liver fibrosis. Importantly, oral administration of chlorophyllin promptly rebalanced the gut microbiota, exhibiting down-regulation of the phylum Firmicutes and up-regulation of the phylum Bacteroidetes. In vitro experiments on intestinal epithelial cells showed that chlorophyllin exposure could inhibit NF-κB pathway via IKK-phosphorylation suppression. In conclusion, this study demonstrates potential application of chlorophyllin to regulate the intestinal microbiota and ameliorate hepatic fibrosis

Nanomaterial-Assisted Signal Enhancement of Hybridization for DNA Biosensors: A Review

Detection of DNA sequences has received broad attention due to its potential applications in a variety of fields. As sensitivity of DNA biosensors is determined by signal variation of hybridization events, the signal enhancement is of great significance for improving the sensitivity in DNA detection, which still remains a great challenge. Nanomaterials, which possess some unique chemical and physical properties caused by nanoscale effects, provide a new opportunity for developing novel nanomaterial-based signal-enhancers for DNA biosensors. In this review, recent progress concerning this field, including some newly-developed signal enhancement approaches using quantum-dots, carbon nanotubes and their composites reported by our group and other researchers are comprehensively summarized. Reports on signal enhancement of DNA biosensors by non-nanomaterials, such as enzymes and polymer reagents, are also reviewed for comparison. Furthermore, the prospects for developing DNA biosensors using nanomaterials as signal-enhancers in future are also indicated

Object-based Analysis for Extraction of Dominant Tree Species

As forest is of great significance for our whole development and the sustainable plan is so focus on it. It is very urgent for us to have the whole distribution, stock volume and other related information about that. So the forest inventory program is on our schedule. Aiming at dealing with the problem in extraction of dominant tree species, we tested the highly hot method—object-based analysis. Based on the ALOS image data, we combined multi-resolution in eCognition software and fuzzy classification algorithm. Through analyzing the segmentation results, we basically extract the spruce, the pine, the birch and the oak of the study area. Both the spectral and spatial characteristics were derived from those objects, and with the help of GLCM, we got the differences of each species. We use confusion matrix to do the Classification accuracy assessment compared with the actual ground data and this method showed a comparatively good precision as 87% with the kappa coefficient 0.837

The Design of a High-Intensity Deuteron Radio Frequency Quadrupole Accelerator

This paper presents the design of a high-intensity 10 mA deuteron RFQ accelerator that generates a 2.1 MeV beam in a continuous wave (CW) mode. The operation frequency is 162.5 MHz. The results of beam dynamics simulations demonstrate excellent output beam quality, achieving a transmission efficiency of 98.63%. The beam tracking results indicate that the RFQ is capable of managing errors within reasonable tolerances. In addition, the RF electromagnetic design and optimization are based on an RFQ model. Multiphysics simulations are then performed for the CW mode. Vacuum calculations suggest that the RFQ requires four 1200 L/s vacuum pumps and one 440 L/s ion pump to attain a vacuum pressure of 10−6 Pa

Design of a CW BISOL RFQ for Three Kinds of High-Charge-State Ions Simultaneous Acceleration

Based on the latest design requirements proposed by the Beijing On-Line Isotope Separation (BISOL) project, a new Sn22+-based, 81.25 MHz CW radio frequency quadrupole (RFQ) with external bunching has been designed. This RFQ can accelerate Sn22+ to 0.5 MeV/u with an output longitudinal-normalized rms emittance of 0.20 keV/u·ns over a length of 5.6 m. The tolerance and error analysis results indicate that this RFQ can handle a wide range of non-ideal beams while maintaining relatively lower longitudinal emittance growth and higher transmission efficiency. To maintain the beam intensity, the RFQ will simultaneously accelerate three kinds of high-charge-state mixed ions (132Sn21+, 132Sn22+ and 132Sn23+), the simulation results given by Impact-T show that the RFQ can achieve high transmission of the mixed beam. Compared with the previous Sn21+-based internal bunching RFQ scheme, this RFQ has a shorter length and smaller output emittance, which is beneficial to the designs of subsequent Medium-energy Beam Transport (MEBT) and Drift Tube Linac (DTL). In electromagnetic design, a four-vane structure with 48 tuners and 16 π-mode stabilizers (PSLs) were chosen. The results of the multi-physics analysis show that the maximum temperature rise and the maximum deformation of the cavity are 13.6 K and 40.3 µm, respectively. The results simulated with CST Microwave Studio (CST) and HFSS software were consistent

Landscape ecological risk analysis of subtropical vulnerable mountainous areas from a spatiotemporal perspective: Insights from the Nanling Mountains of China

Although mountains provide various important ecological services for human beings, the need remains to be stressed for further research on conducting ecological risk analysis in vulnerable mountainous regions characterized by a relatively high population density. In this study, the Nanling Mountains, which are recognized as a significant mountainous region in southern China, were selected as a case. Using the Globe Land30 dataset and landscape metrics, we calculated landscape ecological risk indices from 2000 to 2020. Our objective was to investigate the distribution and changes in landscape ecological risks within mountainous areas and their associated implication, to support the protection and development of the Nanling Mountains, and to provide a valuable reference case for risk management in other mountainous regions. The results showed that the land cover transformation in Nanling was predominantly driven by the expansion of artificial surfaces and open water, accompanied by a decline in woodland, cultivated land, grassland, wetland, and shrubland areas. The overall landscape metrics exhibited minimal changes, with the majority of modifications observed between 2000 and 2010. During this period, there was a noticeable shift in patch shape from complex to simple, a decrease in landscape continuity, an increase in landscape separation, and an overall increase in landscape heterogeneity. The landscape ecological risk index displayed substantial spatial heterogeneity within the study area. High-risk and medium–high-risk areas were primarily concentrated in the central and eastern regions, surrounded by medium-risk areas. Low-risk and medium–low-risk areas were widely dispersed across the entire study area. Between 2000 and 2020, there was an observed rise in the percentage of low and medium–low-risk areas from 61.74% to 64.05%. This indicates an overall enhancement in the ecological environment of the study area. The transfer of landscape ecological risk primarily involved artificial surfaces and high-altitude grasslands. The correlation analysis between the total regional GDP and LERI showed that there was a smooth inverse “U” linear relationship between them. To conclude, there exists a definite correlation between the landscape ecological risk and human activities, particularly environmental policies. Additionally, the relationship between the landscape ecological risk index and the total regional GDP aligns with the Environmental Kuznets Curve. It is crucial to approach major decisions concerning densely populated and fragile mountainous areas with careful consideration and caution. In promoting land optimization and integration, priority should be given to the area around the artificial surface