Three-dimensional model construction and wind simulation of different tree species in farmland shelter.

Protective forests are the ecological barriers of oases in arid sand areas and can effectively prevent and control wind and sand hazards. The structural characteristics of individual trees, as the basic unit of protective forests, are the key factors affecting the protective benefits. With the typical leafless tree species of Ulan Buh Desert oasis, i.e., Populus alba var. pyramidalis, Populus nigra var. thevestina, and Populus popularis, as the research objects, and by using the ground-based LiDAR and through computational fluid dynamics (CFD), we fully explored the structural characteristics of individual trees and their surrounding aerodynamic characteristics on the basis of real 3D models. We further established the relationship between structural parameters of individual trees and wind field index. The results showed that combining AdQSM and MeshLab to build tree models had high accuracy. The wind field around the individual trees could be roughly divided into six regions, including the attenuation zone of the windward side of the plant, the acceleration zone at the top of the plant, the eddy zone, the calm zone, the transition zone, and the recovery zone of leeward side of the plant. The pressure field around individual trees showed a gradual change of high pressure on the windward side to low pressure on the leeward side. Horizontally, in the range of 20% to 50% reduction in relative wind speed, the effective protection distances were 0.21H-1.51H, 0.20H-0.91H, and 0.25H-1.64H (H was the corresponding tree height) for P. alba var. pyramidalis, P. nigra var. thevestina, and P. popularis, corresponding to effective protection areas of 18-294, 15-227, and 18-261 m2, respectively. The maximum wind speed decay rate in the vertical direction was at 0.3H height for P. alba var. pyramidalis and P. popularis, and was reflected at 0.5H height for P. nigra var. thevestina. The correlation and stepwise regression analysis of the single tree structure parameters with the wind field indicators clearly indicated that optical porosity and volume porosity dominated the protection effect. Among the wind field factors, the best regression models related to the porous coefficient were screened for three factors, including diameter at breast height, tree surface area, and optical porosity. The regression variables screened for effective protection distance and effective protection area differed among the classes.

Assessment on the declining degree of farmland shelter forest in a desert oasis based on LiDAR and hyperspectrum imagery.

We examined the growth decline and health status of farmland protective forest belt (Populus alba var. pyramidalis and Populus simonii shelterbelts) in Ulanbuh Desert Oasis by using airborne hyperspectral and ground-based LiDAR to collect the hyperspectral images and point cloud data of the whole forest belt respectively. Through correlation analysis and stepwise regression analysis, we constructed the evaluation model of the decline degree of farmland protection forest with the spectral differential value, vegetation index, and forest structure parameters as independent variables and the tree canopy dead branch index of the field survey as dependent variables. We further tested the accuracy of the model. The results showed that the evaluation accuracy of the decline degree of P. alba var. pyramidalis and P. simonii by LiDAR method was better than that by hyperspectral method, and that the evaluation accuracy of the combined LiDAR and hyperspectral method was the highest. Using the LiDAR method, hyperspectral method, the combined method, the optimal model of P. alba var. pyramidalis was all light gradient boosting machine model, with the overall classification accuracy being 0.75, 0.68, 0.80, and Kappa coefficient being 0.58, 0.43, 0.66, respectively. The optimal model of P. simonii was random forest model, random forest model, and multilayer perceptron model, with the overall classification accuracy being 0.76, 0.62, 0.81, and Kappa coefficient being 0.60, 0.34, 0.71, respectively. This research method could accurately check and monitor the decline of plantations.

[Soil organic carbon density and its influencing factors in croplands with different cultivation years in the Northeastern Ulan Buh Desert, China]. / ä¹Œå °å¸ƒå’Œæ²™æ¼ ä¸œåŒ—éƒ¨ä¸åŒè€•ä½œå¹´é™å†œç”°åœŸå£¤æœ‰æœºç¢³å¯†åº¦åŠå ¶å½±å“å› ç´ .

Understanding the changes and influencing factors of soil organic carbon density (SOCD) during the conversion of uncultivated natural soil to croplands is of great significance for the assessment of carbon sequestration in arid areas. In this study, we compared SOCD in the uncultivated soil and that in croplands with different cultivation years (2-5, 12-15, 25-30, 40-50 years) in the Northeastern Ulan Buh Desert. The change of SOCD and its influencing factors at 0-2 m soil depth during the conversion of uncultivated natural soil to croplands were explored by the method of replacing time with space. The results showed that SOCD at the shallow soil depth (0-0.4 m) in croplands increased continuously with cultivation years, but basically at low levels (0.990-1.983 kg·m-2). The SOCD at deep soil (1.2-2 m) increased in the croplands with longer cultivation years (25-30 and 40-50 years), whereas no obvious change trends in both the croplands with shorter cultivation years (2-5 and 12-15 years) and the uncultivated natural soil. The SOCD at deep soil (1.2-2 m) were relatively large (28.9%-38.6%) of the 0-2 m soil depth of uncultivated natural soil and croplands with different cultivation years. The vertical distribution of SOCD in croplands with different cultivation years were well fitted by quadratic functions (with R2 ranging from 0.757 to 0.972). It was noteworthy that soil clay and silt contents had dominant influences on SOCD at all the soil profile (0-2 m), and that cultivation years mainly contributed to the accumulation of SOC at the shallow soil (0-0.4 m).

Koumine regulates macrophage M1/M2 polarization via TSPO, alleviating sepsis-associated liver injury in mice.

BACKGROUND: Translocator protein (TSPO) is an 18-kDa transmembrane protein found primarily in the mitochondrial outer membrane, and it is implicated in inflammatory responses, such as cytokine release. Koumine (KM) is an indole alkaloid extracted from Gelsemium elegans Benth. It has been reported to be a high-affinity ligand of TSPO and to exert anti-inflammatory and immunomodulatory effects in our recent studies. However, the protective effect of KM on sepsis-associated liver injury (SALI) and its mechanisms are unknown. PURPOSE: To explore the role of TSPO in SALI and then further explore the protective effect and mechanism of KM on SALI. METHODS: The effect of KM on the survival rate of septic mice was confirmed in mouse models of caecal ligation and puncture (CLP)-induced and lipopolysaccharide (LPS)-induced sepsis. The protective effect of KM on CLP-induced SALI was comprehensively evaluated by observing the morphology of the mouse liver and measuring liver injury markers. The serum cytokine content was detected in mice by flow cytometry. Macrophage polarization in the liver was examined using western blotting. TSPO knockout mice were used to explore the role of TSPO in sepsis liver injury and verify the protective effect of KM on sepsis liver injury through TSPO. RESULTS: KM significantly improved the survival rate of both LPS- and CLP-induced sepsis in mice. KM has a significant liver protective effect on CLP-induced sepsis in mice. KM treatment ameliorated liver ischaemia, improved liver pathological injuries, and decreased the levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH) and proinflammatory cytokines in serum. Western blotting results showed that KM inhibited M1 polarization of macrophages and promoted M2 polarization. In TSPO knockout mice, we found that TSPO knockout can improve the survival rate of septic mice, ameliorate liver ischaemia, improve liver pathological injuries, and decrease the levels of ALT, AST, and LDH. In addition, TSPO knockout inhibits the M1 polarization of macrophages in the liver of septic mice and promotes M2 polarization and the serum levels of proinflammatory cytokines. Interestingly, in TSPO knockout septic mice, these protective effects of KM were no longer effective. CONCLUSIONS: We report for the first time that TSPO plays a critical role in sepsis-associated liver injury by regulating the polarization of liver macrophages and reducing the inflammatory response. KM, a TSPO ligand, is a potentially desirable candidate for the treatment of SALI that may regulate macrophage M1/M2 polarization through TSPO in the liver.

[Effects of long-term rainfall addition on the morphological characteristics and point pattern of desert plants]. / é•¿æœŸæ¨¡æ‹Ÿå¢žé›¨å¯¹è’æ¼ æ¤ç‰©å½¢æ€ç‰¹å¾åŠç©ºé—´åˆ†å¸ƒæ ¼å±€çš„å½±å“.

Studying the effects of rainfall change on morphological characteristics, spatial pattern and spatial correlation of desert dominant plants could help to predict the response of desert ecosystem to global climate change. We conducted a 10-year simulated rainfall addition experiment and examined the morphological characteristics, spatial pattern and spatial correlation of typical desert plant species, Nitraria tangutorum and Artemisia ordosica, under long-term simulated rainfall enhancement conditions in Ulanbuh desert, using Programita software, Ripley's K function, and Monte Carlo method. The results showed that there were significant differences in the number, height, average crown and base diameter of the desert plants under different treatments. The number, height, average crown and base diameter of N. tangutorum and A. ordosica were significantly larger than CK, all of which increased with the amount of rainfall. When the amount of rainfall addition was less than 72 mm, the branch of N. tangutorum showed cluster distribution. When it was larger than 72 mm, it showed a tendency to decrease the aggregation intensity with rainfall increasing. The spatial distribution of A. ordosica population was characterized by random distribution-cluster distribution-random distribution pattern with rainfall increasing. In terms of spatial association, branch of N. tangutorum and A. ordosica showed negative correlation under control, but no correlation or positive correlation with rainfall increasing. When the amount of rainfall increased to 144 mm, the spatial association between two species changed from negative to positive. Under the scenario of increasing rainfall, soil moisture was improved, which would lead to a positive correlation between species and be more conducive to the coexistence and growth of N. tangutorum and A. ordosica.

Inhibited corneal neovascularization in rabbits following corneal alkali burn by double-target interference for VEGF and HIF-1α.

Expression of hypoxia-inducible factor (HIF) 1α has been observed in corneal neovascularization (CNV). Vascular endothelial growth factor (VEGF), one of the most well-known angiogenic factors in CNV, is under the regulation of HIF-1. The present study aims to investigate the synergistic effects of VEGF and HIF-1α gene silencing on alkali burn-induced CNV in rabbits. The models of rabbits in corneal alkali burn were established. SiRNA recombinant adenovirus was used to explore the synergistic effects of VEGF and HIF-1α gene silencing on alkali burn-induced CNV. CNV area and ultrastructure of cornea were observed. The expression of VEGF and HIF-1α was detected. CNV was observed in rabbits following alkali burn. In addition, overexpressed VEGF and HIF-1α was also observed in rabbits following alkali burn. Then, silencing HIF-1α or silencing VEGF decreased area of CNV, inhibited neovascularization and improved pathological changes, while double-target interference for VEGF and HIF-1α decreased area of CNV inhibited neovascularization, and improved pathological changes to a greater extent. Our study provides evidences emphasizing the distinct notion that VEGF and HIF-1α play the contributory role in alkali burn-induced CNV as a result of double-target interference for VEGF and HIF-1α inhibiting CNV in rabbits following corneal alkali burn.

Koumine exhibits anxiolytic properties without inducing adverse neurological effects on functional observation battery, open-field and Vogel conflict tests in rodents.

Koumine, an active alkaloid of neurotoxic plant Gelsemium, has been focused on its therapeutic uses, especially in central nervous system. Nevertheless, less is known about the neurological effects of koumine, which hampers its potential therapeutic exploitation. Moreover, as the anxiolytic potential of Gelsemium has raised many critical issues, its active principles on the anxiolytic and other neurological effects need to be further investigated. Here, we used functional observation battery (FOB) of mice to systematically measure the neurological effects of koumine at the effective doses, and then further confirmed its anxiolytic properties in open-field test (OFT) of mice and Vogel conflict test (VCT) of rats. Koumine exhibited anxiolytic-like activities but did not affect other autonomic, neurological and physical functions in FOB. Furthermore, koumine released anxiolytic responses and anti-punishment action in a manner similar to diazepam in OFT and VCT, respectively. The results constitutes solid set of fundamental data further demonstrating anxiolytic properties of koumine at the therapeutic doses without inducing adverse neurological effects, which supports the perspectives for the development of safe and effective koumine medicine against pathological anxiety.

[Predictive analysis on Shenmai injection-induced adverse reactions with Logistic model and ROC curve].

To study relevant risk factors of Shenmai injection induced adverse reactions by using Logistic model and ROC curve, and made the prediction for the occurrence of relevant adverse reactions/events. Case data of patients treated with Shenmai injection were collected by using the prospective, multi-center, large-sample, nested-case control method, in order to analyze the risk factors of Shenmai injection-induced adverse reactions/events, establish the logistic model and draw the receiver operating characteristic (ROC) curve for risk factors. During the study, 7632 patients (including 3 477 males and 4 155 females) were included, and eight of them suffered adverse reactions/events. Based on a multi-factor Logistic model analysis, the age (> or = 50 years) (OR = 5.061, 95% CI: 2.197-7.924; P = 0.001), the total number of medication days (OR = -1.020, 95% CI: -l.652 - 0.388; P = 0.002) and the single dose (OR = 0.245, 95% CI: 0.127-0.364; P = 0.000) were significant independent risk factors for Shenmai injection-induced adverse reactions/events. According to the results, ROC curves were drawn with age (> or = 50 years), the total number of days of inedication and single dose; The area under ROC curves the joint predictor (0.9753, 95% CI: 0.9443-1.000, P < 0.005) was larger than that of the other three single indexes, with a higher risk prediction value. The independent risk factors for Shenmai injection-induced adverse reactions/events included the age (> or = 50 years), the total number of days of medication and single dose. In clinical practice, the age (> or = 50 years), the total number of days of medication and the medication dose can be substituted in the joint predictor calculation formula (P = 1 / [1 + e(-(-21.58 + 5.061 x Xage - 1.020 x Xd + 0.245 x X(mL)] to predict the potential adverse reactions of patients and adjust the dosage regimen.