“…First, timber management has occurred for over 100 years, resulting in dramatically different forest successional and structural conditions compared to other areas. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…BACKGROUND: Pine wilt disease (PWD) is a worldwide threat to pine forests, and is caused by the pine wood nematode (PWN) Bursaphelenchus xylophilus. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

Enlace del recurso
Enlace del recurso
Enlace del recurso

“…METHODS: Field research was carried out in four neighbouring villages in a mountain valley of the Diebu (Tewo) county, surrounded by spruce forests. The study consisted of 30 interviews with single informants, or group interviews (altogether 63 informants). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We trained logistic regression, support vector machine (linear and Gaussian), decision tree, random forest, and naïve Bayes models for each ear region. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The highest multiplicity of infection (MOI) was observed in isolates from Begoro (forest zone, rural site): 3.31 for the time point 2007–2008. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Supervised classification with a random forest classifier was used to develop high resolution land cover classes that were combined with malaria parasite prevalence data to identify environmental factors that influence localized heterogeneity of malaria transmission and develop a high resolution predictive malaria risk map of Dar es Salaam. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…BACKGROUND: Loblolly pine (Pinus taeda L.) is one of the most widely planted and commercially important forest tree species in the USA and worldwide, and is an object of intense genomic research. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The predictive factors included individual-level factors (age, gender, past fever episode, and forest activity during night time) and household-level factors (household member size, household bed net usage/density and a household with one other malaria-infected member). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Where possible summary effect measures will be pooled, heterogeneity and its extent for pooled estimates will be assessed via visual inspection of forest plots and explored via sub-group analysis. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The quality of studies was assessed by QUADAS-2 and NOS tools. Forest and funnel plots and all statistical analyses were generated by using Review Manager 5.3. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Logistic Regression and Random Forest methods performed better than Naïve Bayes. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…METHODS: Sand flies were collected using CDC light traps, sticky traps and pyrethrum spray catches from peri-domestic, mixed forest, farm field and indoor habitats from both Libo-Kemkem (May 2011-April 2012) and Metema (October 2012-September 2013) districts. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…This gives an impetus to investigate the potential of agricultural, forest, or even food waste, which would be likely to have a substantially lower impact on the environment. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Malaria prevalence was higher in those houses located <1 km from a river and <3 km to a forest (IRR: 1.31; 95% CI 1.13–1.51 and IRR: 1.44; 95% CI 1.25–1.66, respectively). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…In addition, a random forest (RF) classifier using a gene signature ( ABCB1, ABCB11, ABCC1, ABCC10, BAD, BBC3, BCL2, BCL2L1, BMF, CYP2C8, CYP3A4, MAP2, MAP4, MAPT, NR1I2,SLCO1B3, TUBB1, TUBB4A, and TUBB4B) predicted >3-year survival with 85.5% accuracy in 420 HT patients. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…RESULTS: A Support Vector Machine with a radial basis kernel developed on 39 predictors had the highest complete cases performance on the test set (AUROC = 0.845, PPV = 0.280, NPV = 0.966) outperforming Boosted C5.0 (0.845 vs. 0.841, P = 0.028) but not significantly higher than Logistic Regression or Random Forest. Models converged to the point of algorithm indifference with increased sample size and predictors. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We compute F1-scores and BAR values after tuning Linear Discriminant Analysis (LDA), Support Vector Machines with gaussian kernel (SVM-rbf), and Random Forests. Results: Statistically significant differences were found between the disease starting points of each MS form using four different response variables: Lesion Load, NAA/Cre, NAA/Cho, and Cho/Cre ratios. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Additionally, our results document the superiority of the whole-genome regression approach in accounting for large proportions of the heritability of complex traits such as growth in contrast to the limited value of the local GWAS approach toward breeding applications in forest trees. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3920-2) contains supplementary material, which is available to authorized users.…”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…BACKGROUND: In French Guiana, a French overseas territory in South America, 6 to 10 thousands undocumented persons work illegally in gold mining sites in the Amazonian forest. Precarious life conditions lead to poor health but few data exist on the health status of illegal gold miners in French Guiana. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso