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Objectives: Integration of machine learning and multi-source data becomes a hot topic in soil moisture inversion, where relatively few studies are performed on L-band synthetic aperture radar (SAR) imagery. Methods: ALOS-2 PALSAR-2 and Landsat 8 images of Ejina Oasis are used to extract the radar and optical characteristic parameters which are then screened according to the importance score. Random forest is adopted to establish different soil moisture inversion models based on radar, optical, and radar-optical integrated parameters. Model accuracies are evaluated and soil moisture content in Ejina Oasis is inversed. Results: Compared with C-band, L-band SAR data is more sensitive to soil moisture content in arid desert oasis. With regard to radar characteristic parameters, surface and volume scattering components have higher important scores, while dihedral and helix scattering component are less important. As for optical characteristic parameters, vegetation water supply index takes the most important place while the enhanced vegetation index is the least important one. The determination coefficient R² and root mean square error (RMSE) of radar characteristic parameter scheme are 0.67 and 2.16%, respectively. The accuracy of optical characteristic parameter scheme model is generally low and the accuracy is equivalent, with R² and RMSE about 0.5 and 2.47%, respectively. R² and RMSE of the optimal radar-optical integrated parameter inversion model are 0.72 and 1.99%, respectively. Compared with either single data source, R² is increased by 7.46% and 38.4%, while RMSE is decreased by 8.54% and 22.6%. Conclusions: The research proves that the random forest model based on multi-source data fusion has higher prediction accuracy and better applicability in arid desert oasis area. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Laser Biology / Acta Laser Biology Sinica is the property of Acta Laser Biology Sinica Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To solve the problems of unstructured data organization, insufficient detailed description of entity relationship and lack of standardized expression of knowledge representation in the construction of knowledge graph in the field of early warning equipment. Based on the Protégé ontology construction tool, this paper divides the early warning equipment system from top to bottom into equipment principle knowledge class, management support resource class, equipment operation and application class, etc., and then refines them. So as to define the concept class and divide the hierarchical relationship, and extract the entities, attributes, relationships and other knowledge units in specific equipment information. Then, the domain knowledge of early warning equipment is modeled, and a scientific and complete knowledge representation framework of finegrained early warning equipment is explored. Taking "long-range early warning phased array radar as an example, ontology instance filling and visualization are carried out. Finally, the ontology of early warning equipment is formally represented based on ontology description language. The ontology lays a semantic foundation for the construction of domain knowledge graph based on multi-source high-quality data, and has important practical guiding value for realizing intelligent management support and operational application of equipment such as equipment capability portrait, development trend analysis, equipment fault diagnosis, and health status management under the background of big data. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Anhui Agricultural Sciences is the property of Journal of Anhui Agricultural Sciences Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Guangdong Agricultural Sciences is the property of South China Agricultural University, Guangdong Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Inorganic Analytical Chemistry / Zhongguo Wuji Fenxi Huaxue is the property of Beijing Research Institute of Mining & Metallurgy Technology Group and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shandong Medical Journal is the property of Shandong Medical Health Newspapers and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

目的：分析眼底激光联合曲安奈德治疗糖尿病性视网膜病变（DR）的应用效果。方法：选取 2022 年10 月-2023 年 10 月本院 78 例DR患者开展研究，用随机数字表法平均分为对照组 39 例，行眼底激光治疗，观察组 39 例，联 合曲安奈德治疗，比较两组临床疗效。结果：观察组的视力提高率明显高于对照组，视网膜水肿、渗出、眼底出血改 善时间、黄斑区视网膜厚度、VEGF 和 ICAM-1 均明显低于对照组（P < 0.05）。结论：在眼底激光治疗基础上，联合 曲安奈德能加强DR疗效，有效改善视力，具有推广价值。 [ABSTRACT FROM AUTHOR]

Copyright of Journal of Modern Laboratory Medicine is the property of Journal of Modern Laboratory Medicine Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shandong Medical Journal is the property of Shandong Medical Health Newspapers and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Evaluation & Analysis of Drug-Use in Hospitals of China is the property of Evaluation & Analysis of Drug-Use in Hospitals of China Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Fly Ash Comprehensive Utilization is the property of Hebei Fly Ash Comprehensive Utilization Magazine Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Clinical Hepatology / Linchuang Gandanbing Zazhi is the property of Journal of Clinical Hepatology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Wool Textile Journal is the property of National Wool Textile Science & Technology Information Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shandong Medical Journal is the property of Shandong Medical Health Newspapers and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Aesthetic & Plastic Surgery is the property of Chinese Journal of Aesthetic & Plastic Surgery Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Wool Textile Journal is the property of National Wool Textile Science & Technology Information Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Xi'an City (the capital of Shaanxi province) has experienced a mushroom expansion in the past decade. Comprehensive exploitation of land resources has posed a dramatic threat to the urban climate and eco-environment responses, further intensifying the human-land conflict. The purpose of this study is to clarify the spatiotemporal patterns of land use and the driving forces in Xi'an City over the past 10 years, thereby promoting the optimal allocation of land resources and the sustainable development of the urban eco-environment. A classification feature dataset was also established to integrate the Landsat TM/OLI optical and PALSAR radar imagery using a new cloud-computing Google Earth Engine (GEE) platform, including the spectral, terrain, textural, and backscattering features. Among them, the remote sensing technology was utilized to acquire both optical and radar imagery for the multi-source data. The GEE platform combined with Random Forest (RF) was used to deal with the long-term series data, in order to improve the data acquisition, and processing efficiency, but to reduce the data volume, during the classification. Specifically, The RF was used to perform the land use classification in 2010, 2015, and 2019, further to determine the single land use dynamic degree and spatiotemporal patterns. A GeoDetector model was adopted finally to explore the driving factors affecting the spatiotemporal evolution patterns in the study area from natural and social aspects. The results indicate that: 1) A relatively high classification accuracy was achieved using the RF. Specifically, the overall classification accuracies were 92.30%, 86.66%, and 90.78% in the study area in 2010, 2015, and 2019, respectively, and the corresponding Kappa coefficients were 0.89, 0.81, and 0.88, respectively. 2) The main types of land use in the study area were the forest-grass and arable land, accounting for more than 85% of the whole area. The arable land decreased dramatically over the past ten years, particularly on the periphery of the central urban areas. Among them, the arable land decreased about 451.13 km², most of which was transferred to the construction land, leading to the rapid expansion of the construction land from 1 056.9 km² in 2010 to 1 529.01 km² in 2019. The prime expansion areas were in the central and northern parts of the city, where a great amount of arable land was substituted by the construction land. The forest-grass land presented a decreasing to increasing fluctuation, especially in the central south and eastern regions. Besides, the water body and unused land decreased gradually, but with very minor variations. 3) The GeoDetector analysis revealed that the natural factors were the fundamental controlling factors in the land use pattern in the study area, including the terrain, temperature, and precipitation. Furthermore, the economic activities were also the important driving factors with increasing the explanatory power, whereas, the explanatory power of the population increased at the early stage and decreased subsequently. Correspondingly, the overall land-use patterns in the study area were dominated by the interaction of terrain, population, and economic factors. In conclusion, the integrated RF classification and GeoDetector model using the multi-source data can provide an effective way to better understand spatiotemporal land use and the driving forces. These findings can widely be expected to serve as the scientific fundamentals for the decision-making on the planning and management of urban land resources. [ABSTRACT FROM AUTHOR]

With the continuously expanding of the urban areas and the dramatic population growth, serious urban climate and thermal environment issues have occurred and attracted extensive attention. High- precision and large-scale remote sensing monitoring of near-surface air temperature in Xi'an city can provide reference for the improvement of urban climate, the alleviation of heat island effect, as well as the creation of a suitable living environment. Traditional near-surface air temperature monitoring approaches are confined when dealing with complicated relationships among multiple factors. Taking Xi'an city as the study area, the random forest (RF) models, which can integrate multiple factors and simulate complicated and non-linear mapping relationship, were adopted. Through comprehensive analysis of various parameters derived from Landsat 8 imagery and SRT M DEM data, several near-surface air temperature estimation RF models were constructed, and the optimal model was confirmed by performance comparison and evaluation. Furthermore, near-surface air temperature in Xi'an city on May 16, 2016 was estimated, and the spatial distribution pattern was discussed. The results show that among all the near-surface air temperature influencing factors, altitude has the highest contribution to the estimated temperature of the RF models, followed by land surface temperature (LST ); both of them are crucial for the estimation of near-surface air temperature. For all the RF models, the training set R² is higher than 0. 916, and the RMSE is lower than 0.467oC; all the validation set R² is higher than 0. 726, and the RMSE is lower than 0.840 oC; the training set R² of all RF models is higher than that of the validation set, while the training set RMSE is lower compared with the validation set; the training set R² of the optimal model is 0. 934 with the RMSE being 0.425oC, and the validation set R² is 0.795 with a RMSE value of 0. 783oC; the R² and RMSE of the air temperature estimation accuracy are 0. 792 and 1.055oC, respectively. N ear-surface air temperature in the central urban districts of Xi'an city is higher than that of suburban areas, and the mean minimum temperature, the mean maximum temperature, as well as the mean temperature are higher than those of suburban areas by 1.54oC, 0.01oC and 1. 76oC, respectively. The near-surface air temperature in the study area is low in the south and high in the north, and presents obvious spatial heterogeneity. Air temperature gradually decreases from the central urban districts through suburbs to the southern mountainous areas, indicating a prominent urban heat island effect. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Geomechanics is the property of Journal of Geomechanics Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Surfactant Detergent & Cosmetics (1001-1803) is the property of China Surfactant Detergent & Cosmetics Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

[ Objective]The present paper aimed to provide basic data and theoretical reference for the feasibility research and technological development of the replacement control of the relevant invasive plants by using Cynodon dactylon . [Method] Using assays with petri dishes and filter papers, the effects of the aqueous extracts from leaves of four invasive plants ( Argeratina adenophora, Conyza Canadensis, Chmmolaena odoratum and Tithonia diversifolia) with different concentration ( 0 . 00, 0 . 2S, 0. SO, 1. 00 and 2. 00 g · L - l) on the germination rate, germination potential and allopathic effect index of Cynodon dynodon seeds were investigated and compared. [ Result] Aqueous extracts from leaves of four invasive plants had significant inhibitory effects on seed germination of Cynodon dynodon ; and the inhibitory effects increased with the corresponding concentrations. Moreover, at the low or medium concentrations (0.25 0.05 and 1.00 g·L-1), the four invasive plants showed significantly different inhibitory and allopathic effects on the seed germination of Cynodon dynodon; while at the high concentration ( 2.00 g·L-1), the most powerful inhibitory and allopathic effects arose from Chromolaena odoratum, but there was no significant differences among the other three plants. [ Conclusion] The four invasive plants had a strong inhibitory allopathic effect on Cynodon dynodon, and appropriate measures should be taken to avoid or alleviate these negative effects for the application of Cynodon dynodon in the replacement control and ecological restoration. [ABSTRACT FROM AUTHOR]

12(S)-羟基二十碳四烯酸［12(S)-HETE］是一种具有生物活性的脂质代谢产物，主要是由花生四烯酸经血小板型 12- 脂氧合酶催化生成。通常情况下，生物体液和组织中可以发现低浓度的12(S)-HETE 存在，当人体受到各种生理和病理刺激时，12(S)-HETE 浓度可发生相应改变。越来越多的研究表明，12(S)-HETE 在多种临床疾病中发挥着重要作用，如糖尿病、高血压、氧化应激、炎症、肿瘤及心血管疾病等。然而，12(S)-HETE 与创伤的关系尚不明确，目前，仅有一些12(S)-HETE 与皮肤损伤及颅脑创伤的相关研究，该文旨在综述12(S)-HETE 与皮肤损伤及颅脑创伤的关系，为后续研究做好理论准备。 [ABSTRACT FROM AUTHOR]

Copyright of Journal of Modern Laboratory Medicine is the property of Journal of Modern Laboratory Medicine Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shandong Medical Journal is the property of Shandong Medical Health Newspapers and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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