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| 1 | 中国5所医院念珠菌属对氟康唑和伏立康唑的耐药性监测显示文摘目的了解临床分离念珠菌属和其他酵母对氟康唑和伏立康唑的耐药性及耐药性变迁。方法按CLSI/NCCLS M44-A推荐的纸片扩散法对2001年至2005年8 000株念珠菌属和其他酵母临床分离株进行氟康唑和伏立康唑的药敏试验;并通过BIOMIC软件换算出相应的MIC(mg/L)。结果白念珠菌及非白念珠菌如光滑念珠菌等在临床分离真菌中的分布自2001—2005年未见有明显的上升趋势。2001—2005年白念珠菌对氟康唑和伏立康唑的耐药率变化不大,但光滑念珠菌等非白念珠菌对氟康唑和伏立康唑的耐药率有不同程度的上升。结论伏立康唑较氟康唑具有更广的抗菌谱和更强的抗菌活性;光滑念珠菌等非白念珠菌的耐药率正在逐年上升;提示对念珠菌属开展耐药性监测的重要性。 | ARTEMIS念株菌属耐药性监测协作组 朱德妹 张婴元 汪复 | 2007 | 中国感染与化疗杂志2007，7，1： | 47 |
| 2 | Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran显示文摘The identification of landslide-prone areas is an essential step in landslide hazard assessment and mitigation of landslide-related losses.In this study,we applied two novel deep learning algorithms,the recurrent neural network(RNN)and convolutional neural network(CNN),for national-scale landslide susceptibility mapping of Iran.We prepared a dataset comprising 4069 historical landslide locations and 11 conditioning factors(altitude,slope degree,profile curvature,distance to river,aspect,plan curvature,distance to road,distance to fault,rainfall,geology and land-sue)to construct a geospatial database and divided the data into the training and the testing dataset.We then developed RNN and CNN algorithms to generate landslide susceptibility maps of Iran using the training dataset.We calculated the receiver operating characteristic(ROC)curve and used the area under the curve(AUC)for the quantitative evaluation of the landslide susceptibility maps using the testing dataset.Better performance in both the training and testing phases was provided by the RNN algorithm(AUC=0.88)than by the CNN algorithm(AUC=0.85).Finally,we calculated areas of susceptibility for each province and found that 6%and 14%of the land area of Iran is very highly and highly susceptible to future landslide events,respectively,with the highest susceptibility in Chaharmahal and Bakhtiari Province(33.8%).About 31%of cities of Iran are located in areas with high and very high landslide susceptibility.The results of the present study will be useful for the development of landslide hazard mitigation strategies. | Phuong Thao Thi Ngo Mahdi Panahi Khabat Khosravi Omid Ghorbanzadeh Narges Kariminejad Artemi Cerda Saro Lee | 2021 | Geoscience Frontiers2021，12，2： | 13 |
| 3 | Effect of soil management on soil erosion on sloping farmland during crop growth stages under a large-scale rainfall simulation experiment显示文摘Soil erosion on farmland is a critical environmental issue and the main source of sediment in the Yellow River, China. Thus, great efforts have been made to reduce runoff and soil loss by restoring vegetation on abandoned farmland. However, few studies have investigated runoff and soil loss from sloping farmland during crop growth season. The objective of this study was to investigate the effects of soil management on runoff and soil loss on sloping farmland during crop growth season. We tested different soybean growth stages (i.e., seedling stage (R1), initial blossoming stage (R2), full flowering stage (R3), pod bearing stage (R4), and initial filling stage (R5)) and soil management practice (one plot applied hoeing tillage (HT) before each rainfall event, whereas the other received no treatment (NH)) by applying simulated rainfall at an intensity of 80 mm/h. Results showed that runoff and soil loss both decreased and infiltration amount increased in successive soybean growth stages under both treatments. Compared with NH plot, there was less runoff and higher infiltration amount from HT plot. However, soil loss from HT plot was larger than that from NH plot in R1–R3, but lower in R4 and R5. In the early growth stages, hoeing tillage was effective for reducing runoff and enhancing rainfall infiltration. By contrast, hoeing tillage enhanced soil and water conservation during the late growth stages. The total soil loss from HT plot (509.0 g/m^2) was 11.1% higher than that from NH plot (457.9 g/m^2) in R1–R5. However, the infiltration amount from HT plot (313.9 mm) was 18.4% higher than that from NH plot (265.0 mm) and the total runoff volume from HT plot was 49.7% less than that from NH plot. These results indicated that crop vegetation can also act as a type of vegetation cover and play an important role on sloping farmland. Thus, adopting rational soil management in crop planting on sloping farmland can effectively reduce runoff and soil loss, as well as maximize rainwater infiltration during crop growth period. | WANG Linhua WANG Yafeng Keesstra SASKIA Cerdà ARTEMI MA Bo WU Faqi | 2018 | Journal of Arid Land2018，10，6： | 5 |
| 4 | Soil Physical Quality of Citrus Orchards Under Tillage, Herbicide, and Organic Managements显示文摘Soil capacity to support life and to produce economic goods and services is strongly linked to the maintenance of good soil physical quality(SPQ). In this study, the SPQ of citrus orchards was assessed under three different soil managements, namely no-tillage using herbicides, tillage under chemical farming, and no-tillage under organic farming. Commonly used indicators, such as soil bulk density,organic carbon content, and structural stability index, were considered in conjunction with capacitive indicators estimated by the Beerkan estimation of soil transfer parameter(BEST) method. The measurements taken at the L'Alcoleja Experimental Station in Spain yielded optimal values for soil bulk density and organic carbon content in 100% and 70% of cases for organic farming. The values of structural stability index indicated that the soil was stable in 90% of cases. Differences between the soil management practices were particularly clear in terms of plant-available water capacity and saturated hydraulic conductivity. Under organic farming, the soil had the greatest ability to store and provide water to plant roots, and to quickly drain excess water and facilitate root proliferation.Management practices adopted under organic farming(such as vegetation cover between the trees, chipping after pruning, and spreading the chips on the soil surface) improved the SPQ. Conversely, the conventional management strategies unequivocally led to soil degradation owing to the loss of organic matter, soil compaction, and reduced structural stability. The results in this study show that organic farming has a clear positive impact on the SPQ, suggesting that tillage and herbicide treatments should be avoided. | Simone DI PRIMA Jesus RODRIGO-COMINO Agata NOVARA Massimo IOVINO Mario PIRASTRU Saskia KEESSTRA Artemi CERDA | 2018 | Pedosphere2018，28，3： | 4 |
| 5 | A review of ecological risk assessment and associated health risks with heavy metals in sediment from India显示文摘Heavy metal(HM)pollution in sediment is a serious concern particularly in developing nations,warranting an extensive survey to understand the current situation and propose possible remedial measures.This paper compiles the data of HMs cadmium(Cd),iron(Fe),cobalt(Co),manganese(Mn),arsenic(As),lead(Pb),chromium(Cr),copper(Cu),zinc(Zn)and nickel(Ni)in aquatic sediment from India from 1979 to 2017.It was found that mean values of Cu,Co,Zn,Pb,As,and Cr in Indian sediment were high in comparison to the Australian Interim Sediment Quality Guidelines,World Surface Rock Average,and the Threshold Effect Level for freshwater ecosystems.Anthropogenic activities,lithogenic factors,and sand intrusion are the main factors associated with HM pollution as observed using cluster analysis and principal component analysis.The results of contamination indices indicate that HM contamination ranged from average to high,in the sediment.The ecological risk assessment results showed that 11%HMs present very high risk.The cancer risk,due to the high contents of Cd,As,and Cr the ingestion pathway,showed high risk of cancer through food/water contaminated with sediment.At source reduction of HMs in industrial effluents by effluent treatment plants,and plantation of phytoremediating rooted macrophytes in sediment may help in HM mitigation of the sediment. | Vinod Kumar Anket Sharma Shevita Pandita Renu Bhardwaj Ashwani Kumar Thukral Artemi Cerda | 2020 | International Journal of Sediment Research2020，35，5： | 4 |
| 6 | Comparison of machine learning models for gully erosion susceptibility mapping显示文摘Gully erosion is a disruptive phenomenon which extensively affects the Iranian territory,especially in the Northern provinces.A number of studies have been recently undertaken to study this process and to predict it over space and ultimately,in a broader national effort,to limit its negative effects on local communities.We focused on the Bastam watershed where 9.3%of its surface is currently affected by gullying.Machine learning algorithms are currently under the magnifying glass across the geomorphological community for their high predictive ability.However,unlike the bivariate statistical models,their structure does not provide intuitive and quantifiable measures of environmental preconditioning factors.To cope with such weakness,we interpret preconditioning causes on the basis of a bivariate approach namely,Index of Entropy.And,we performed the susceptibility mapping procedure by testing three extensions of a decision tree model namely,Alternating Decision Tree(ADTree),Naive-Bayes tree(NBTree),and Logistic Model Tree(LMT).We dichotomized the gully information over space into gully presence/absence conditions,which we further explored in their calibration and validation stages.Being the presence/absence information and associated factors identical,the resulting differences are only due to the algorithmic structures of the three models we chose.Such differences are not significant in terms of performances;in fact,the three models produce outstanding predictive AUC measures(ADTree=0.922;NBTree=0.939;LMT=0.944).However,the associated mapping results depict very different patterns where only the LMT is associated with reasonable susceptibility patterns.This is a strong indication of what model combines best performance and mapping for any natural hazard-oriented application. | Alireza Arabameri Wei Chen Marco Loche Xia Zhao Yang Li Luigi Lombardo Artemi Cerda Biswajeet Pradhan Dieu Tien Bui | 2020 | Geoscience Frontiers2020，11，5： | 3 |
| 7 | Simple electrocardiographic markers for the prediction of paroxysmal idiopathic atrial fibrillation显示文摘 | Polychronis E. Dilaveris Elias J. Gialafos Skevos K. Sideris Artemis M. Theopistou George K. Andrikopoulos Michael Kyriakidis John E. Gialafos Pavlos K. Toutouzas | 1998 | American Heart Journal1998，，5： | 2 |
| 8 | Contrasted Impact of Land Abandonment on Soil Erosion in Mediterranean Agriculture Fields显示文摘Abandonment of agricultural land results in on-and off-site consequences for the ecosystem. In this study, 105 rainfall simulations were carried out in agriculture lands of the Mediterranean belt in Spain(vineyards in Málaga, almond orchards in Murcia, and orange and olive orchards in Valencia) and in paired abandoned lands to assess the impact of land abandonment on soil and water losses. After abandonment, soil detachment decreased drastically in the olive and orange orchards, while vineyards did not show any difference and almond orchards registered higher erosion rates after the abandonment. Terraced orchards of oranges and olives recovered a dense vegetation cover after the abandonment, while the sloping terrain of almond orchards and vineyards enhanced the development of crusts and rills and a negligible vegetation cover resulted in high erosion rates. The contrasted responses to land abandonment in Mediterranean agricultural lands suggest that land abandonment should be programmed and managed with soil erosion control strategies for some years to avoid land degradation. | Jesus RODRIGO-COMINO Carlos MARTINEZ-HERNANDEZ Thomas ISERLOH Artemi CERDA | 2018 | Pedosphere2018，28，4： | 2 |
| 9 | Modelling of piping collapses and gully headcut landforms: Evaluating topographic variables from different types of DEM显示文摘The geomorphic studies are extremely dependent on the quality and spatial resolution of digital elevation model(DEM)data.The unique terrain characteristics of a particular landscape are derived from DEM,which are responsible for initiation and development of ephemeral gullies.As the topographic features of an area significantly influences on the erosive power of the water flow,it is an important task the extraction of terrain features from DEM to properly research gully erosion.Alongside,topography is highly correlated with other geo-environmental factors i.e.geology,climate,soil types,vegetation density and floristic composition,runoff generation,which ultimately influences on gully occurrences.Therefore,terrain morphometric attributes derived from DEM data are used in spatial prediction of gully erosion susceptibility(GES)mapping.In this study,remote sensing-Geographic information system(GIS)techniques coupled with machine learning(ML)methods has been used for GES mapping in the parts of Semnan province,Iran.Current research focuses on the comparison of predicted GES result by using three types of DEM i.e.Advanced Land Observation satellite(ALOS),ALOS World 3D-30 m(AW3D30)and Advanced Space borne Thermal Emission and Reflection Radiometer(ASTER)in different resolutions.For further progress of our research work,here we have used thirteen suitable geo-environmental gully erosion conditioning factors(GECFs)based on the multi-collinearity analysis.ML methods of conditional inference forests(Cforest),Cubist model and Elastic net model have been chosen for modelling GES accordingly.Variable’s importance of GECFs was measured through sensitivity analysis and result show that elevation is the most important factor for occurrences of gullies in the three aforementioned ML methods(Cforest=21.4,Cubist=19.65 and Elastic net=17.08),followed by lithology and slope.Validation of the model’s result was performed through area under curve(AUC)and other statistical indices.The validation result of AUC has shown that Cforest is the most appropriate model for predicting the GES assessment in three different DEMs(AUC value of Cforest in ALOS DEM is 0.994,AW3D30 DEM is 0.989 and ASTER DEM is 0.982)used in this study,followed by elastic net and cubist model.The output result of GES maps will be used by decision-makers for sustainable development of degraded land in this study area. | Alireza Arabameri Fatemeh Rezaie Subodh Chandra Pal Artemi Cerda Asish Saha Rabin Chakrabortty Saro Lee | 2021 | Geoscience Frontiers2021，12，6： | 2 |
| 10 | Ktisis:Building an OpenAccess Institutional and Cuhural Repository显示文摘 | Kounoudes A Artemi P Zervas M | 2010 | EuroMed2010，，50： | 1 |
| 11 | Molecular imaging of carotid plaque vulnerability显示文摘 | Alonso A Artemis D Hennerici MG | 2015 | Cerebrovasc Dis2015，39，1： | 1 |
| 12 | Fire effects on soil system functioning: New insights and future challenges 显示文摘 | Doerr S H Artemi C | 2005 | International Journal of Wildland Fire2005，14，： | 1 |
| 13 | Effectiveness of a new modified intraluminal suture for temporary middle cerebral artery occlusion in rats of various weight 显示文摘 | Lourbopoulos A Karacostas D Artemis N | 2008 | J Neurosci Methods2008，173，2： | 1 |
| 14 | Acute Marchiafava-Bignami diseasewith extensive diffusion restriction and early recovery : case reportand review of the literature显示文摘 | Wenz H Eisele P Artemis D | 2014 | J Neuroimaging2014，24，42： | 1 |
| 15 | MicroRNA promoter analysis 显示文摘 | Molly M Artemis G | 2010 | Plant Mi- croRNAs Methods in Molecular Biology2010，592，： | 1 |
| 16 | Menstrual Disorders in Adolescent Females: Current Concepts显示文摘 | Donald E. Greydanus Hatim A. Omar Artemis K. Tsitsika Dilip R. Patel | 2009 | Disease-a-Month2009，，2： | 1 |
| 17 | Limitations to plant establishment on eroded slopes in southeastern Spain显示文摘 | Patricio O F Belen O V Artemi C | 2000 | Journal of Vegetation Science2000，11，1： | 1 |
| 18 | Effectiveness of a new modified intraluminal suture for temporary middle cerebral artery occlusion in rats of various weight 显示文摘 | LOURBOPOULOS A KARACOSTAS D ARTEMIS N | 2008 | J Neurosci Meth2008，173，2： | 1 |
| 19 | TarBase: a compre- hensive database of experimentally supported animal miRNA targets显示文摘 | Sethupathy P Corda B Artemis G | 2006 | RNA2006，12，2： | 1 |
| 20 | Intestinal microbiome analysis demonstrates azithromycin post-treatment effects improve when combined with lactulose显示文摘Background Next-generation sequencing has revolutionized our perspective on the gut microbiome composition,revealing the true extent of the adverse effects of antibiotics.The impact of antibiotic treatment on gut microbiota must be considered and researched to provide grounds for establishing new treatment strategies that are less devastating on commensal bacteria.This study investigates the impact on gut microbiome when a commonly used antibiotic,azithromycin is administered,as well as uncovers the benefits induced when it is used in combination with lactulose,a prebiotic known to enhance the proliferation of commensal microbes.Methods 16S rRNA gene sequencing analysis of stool samples obtained from 87 children treated with azithromycin in combination with or without lactulose have been determined.Children's gut microbial profile was established at the pre-and post-treatment stage.Results Azithromycin caused an increase in the relative abundance of opportunistic pathogens such as Streptococcus that was evident 60 days after treatment.While few days after treatment,children who also received lactulose started to show a higher relative abundance of saccharolytic bacteria such as Lactobacillus,Enterococcus,Anaerostipes,Blautia and Roseburia,providing a protective role against opportunistic pathogens.In addition,azithromycin-prebiotic combination was able to provide a phylogenetic profile more similar to the pre-treatment stage.Conclusion It is suggested that during azithromycin treatment,lactulose is able to reinstate the microbiome equilibrium much faster as it promotes saccharolytic microbes and provides a homeostatic effect that minimizes the opportunistic pathogen colonization. | Elpiniki Nikolaou Elena Kamilari Dragana Savkov Artemy Sergeev Irina Zakharova Paris Vogazianos Marios Tomazou Athos Antoniades Christos Shammas | 2020 | World Journal of Pediatrics2020，16，2： | 1 |
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