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36441por Magyari, Enikő K, Major, Ágnes, Bálint, Miklós, Nédli, Judit, Braun, Mihály, Rácz, István, Parducci, Laura“…The joint application of palaeoecological and population genetics analyses proved to be a powerful tool to understand the influence of past population demographic changes on the haplotype diversity and genetic composition of forest tree species.…”
Publicado 2011
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36442“…Nest sites (i.e., sticks or acorns) are limited in these forest ecosystems and we therefore included nest site quality as an abiotic factor in the analysis. …”
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36443“…METHODS: We searched MEDLINE and EMBASE without language restrictions in September 2010 to identify studies reporting incidence of resistance to oseltamivir, zanamivir, and peramivir. We used forest plots and meta-analysis of incidence of antiviral resistance associated with the three NAIs. …”
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36444por Golugula, Abhishek, Lee, George, Master, Stephen R, Feldman, Michael D, Tomaszewski, John E, Speicher, David W, Madabhushi, Anant“…In conjunction with SRCCA, a random forest classifier was able to identify prostate cancer patients, who developed biochemical recurrence within 5 years, with a maximum classification accuracy of 93%. …”
Publicado 2011
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36445por DeGraba, Thomas J., Hoehn, Gerard T., Nyquist, Paul A., Wang, Honghui, Kenney, Ray, Gonzales, Denise A., Kern, Steven J., Ying, Sai-Xia, Munson, Peter J., Suffredini, Anthony F.“…Serum was fractionated using anion exchange chromatography and three different surface-enhanced laser desorption/ionization (SELDI) chip surfaces and then evaluated with mass spectrometry (MS) and two-dimensional difference gel electrophoresis (2D-DIGE). RESULTS: A random forest (RF) analysis of the SELDI-MS protein peak data distinguished these two groups with 69.2% sensitivity and 73.2% specificity. …”
Publicado 2011
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36446por Lim, Unhee, Turner, Stephen D., Franke, Adrian A., Cooney, Robert V., Wilkens, Lynne R., Ernst, Thomas, Albright, Cheryl L., Novotny, Rachel, Chang, Linda, Kolonel, Laurence N., Murphy, Suzanne P., Le Marchand, Loïc“…Total, abdominal, visceral and hepatic adiposity were predicted based on anthropometry and the biomarkers using Random Forest models. RESULTS: Total body fat was well predicted by anthropometry alone (R(2) = 0.85), by the 5 best predictors from the biomarker model alone (leptin, leptin-adiponectin ratio [LAR], free estradiol, plasminogen activator inhibitor-1 [PAI1], alanine transaminase [ALT]; R(2) = 0.69), or by combining these 5 biomarkers with anthropometry (R(2) = 0.91). …”
Publicado 2012
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36447“…Heterogeneity was assessed by visual inspection of forest plots and a chi(2) test. An I(2) test assessed inconsistencies across studies. …”
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36448“…Our study analyzed interactions of coexisting wild and managed populations of the pitaya Stenocereus pruinosus, a columnar cactus used for its edible fruit occurring in natural forests, silviculturally managed in milpa agroforestry systems, and agriculturally managed in homegardens of the Tehuacán Valley, Mexico. …”
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36449por Switzer, William M, Tang, Shaohua, Ahuka-Mundeke, Steve, Shankar, Anupama, Hanson, Debra L, Zheng, HaoQiang, Ayouba, Ahidjo, Wolfe, Nathan D, LeBreton, Matthew, Djoko, Cyrille F, Tamoufe, Ubald, Esteban, Amandine, Heneine, Walid, Peeters, Martine, Wright, Linda L, Muyembe-Tamfum, Jean Jacques, Wemakoy, Emile Okitolonda, Mulembakani, Prime, Hoff, Nicole A, Rimoin, Anne W“…These results also reinforce the potential for an increased SFV prevalence throughout the forested regions of Africa where humans and simians co-exist. …”
Publicado 2012
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36450“…We applied various classifiers of SVM, BayesNet, NaiveBayes, ComplementNaiveBayes, NaiveBayesMultinomial, RandomForest and IBk etc., as machine learning techniques, using binary and Position-Specific Scoring Matrix (PSSM) features of protein sequences. …”
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36451“…Compared with one of the previous state-of-the-art methods in the literature (the random forest model with expert-crafted features), our method reduces the average error rate, false-negative rate and false-positive rate by 26, 15 and 35%, respectively. …”
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36452por Wamwiri, Florence N, Alam, Uzma, Thande, Paul C, Aksoy, Emre, Ngure, Raphael M, Aksoy, Serap, Ouma, Johnson O, Murilla, Grace A“…METHODS: Fly samples analyzed originated from Kenyan coastal forests (trapped in 2009–2011) and South African G. austeni collected in 2008. …”
Publicado 2013
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36453“…We found that as Carolina is close by to Caribbean National Forest (El Yunque), this together with the temperature and precipitation cycles in the zone creates the ideal environmental conditions for increased humidity and pollen, mold and fungi development through out the year. …”
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36454por Santos, Huarrisson A, Thomé, Sandra MG, Baldani, Cristiane D, Silva, Claudia B, Peixoto, Maristela P, Pires, Marcus S, Vitari, Gabriela LV, Costa, Renata L, Santos, Tiago M, Angelo, Isabele C, Santos, Leandro A, Faccini, João LH, Massard, Carlos L“…Tick infestation history (OR = 2.86, CI = 1.98-14.87), dog size (OR = 2.41, IC: 1.51-12.67), the access to forest areas (OR = 3:51, CI: 1.52-16.32), hygiene conditions of the environment in which the dogs lived (OR = 4.35, CI: 1.86-18.63) and Amblyomma sp. infestation (OR = 6.12; CI: 2.11-28.15) were associated with A. phagocytophilum infection in dogs. …”
Publicado 2013
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36455“…Disproportionate changes in sensitivity of stomatal versus leaf hydraulic conductance to water deficit will impose greater risk of desiccation-induced hydraulic dysfunction on the plants, grown under high atmospheric humidity, in case of sudden weather fluctuations, and might represent a potential threat in hemiboreal forest ecosystems. There is no trade-off between plant hydraulic capacity and photosynthetic water-use efficiency on short time scale.…”
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36456“…Black spruce (Picea mariana), is a transcontinental species of the North American boreal and temperate forests. However, there are limited transcriptomic and genomic resources for this species. …”
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36457por Kim, Yong Ho, Tong, Haiyan, Daniels, Mary, Boykin, Elizabeth, Krantz, Q Todd, McGee, John, Hays, Michael, Kovalcik, Kasey, Dye, Janice A, Gilmour, M Ian“…Peat fires often produce larger amounts of smoke and last longer than forest fires, however few studies have reported on their toxicity. …”
Publicado 2014
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36458por Devendra, C.“…They have been variously referred to inter alia as fragile, marginal, dry, waste, problem, threatened, range, less favoured, low potential lands, forests and woodlands, including lowlands and uplands. …”
Publicado 2012
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36459por Sluydts, Vincent, Heng, Somony, Coosemans, Marc, Van Roey, Karel, Gryseels, Charlotte, Canier, Lydie, Kim, Saorin, Khim, Nimol, Siv, Sovannaroth, Mean, Vanna, Uk, Sambunny, Grietens, Koen Peeters, Tho, Sochantha, Menard, Didier, Durnez, Lies“…Consequently, future malaria programmes in the province should implement additional specific policies targeting households staying overnight at their farms outside the village, in addition to migrants and forest workers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1475-2875-13-387) contains supplementary material, which is available to authorized users.…”
Publicado 2014
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36460por Ehlkes, Lutz, Krefis, Anne Caroline, Kreuels, Benno, Krumkamp, Ralf, Adjei, Ohene, Ayim-Akonor, Matilda, Kobbe, Robin, Hahn, Andreas, Vinnemeier, Christof, Loag, Wibke, Schickhoff, Udo, May, Jürgen“…The influences of built-up areas (median incidence rate ratio (IRR): 0.94, IQR: 0.46), forest (median IRR: 0.9, IQR: 0.51), swampy areas (median IRR: 1.15, IQR: 0.88), as well as banana (median IRR: 1.02, IQR: 0.25), cacao (median IRR: 1.33, IQR: 0.97) and orange plantations (median IRR: 1.11, IQR: 0.68) on P. falciparum rate show strong spatial variations within the study area. …”
Publicado 2014
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