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73101por Ahn, Sung Soo, Park, Eun Seong, Shim, Joo Sung, Ha, Sang-Jun, Kim, Beom Seok, Jung, Seung Min, Lee, Sang-Won, Park, Yong-Beom, Song, Jason Jungsik“…Results of multivariate logistic regression analysis showed that ex vivo IFN-γ production ≤ 7.19 IU/mL was an independent predictor for discriminating active and inactive lupus. In addition, patients with ex vivo IFN-γ production ≤ 0.40 IU/mL had more frequent poor hospitalisation outcomes than those with ex vivo IFN-γ production > 0.40 (40.0% vs. 9.3%, p = 0.001). …”
Publicado 2017
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73102por Alemayehu, Eba, Asale, Abebe, Eba, Kasahun, Getahun, Kefelegn, Tushune, Kora, Bryon, Astrid, Morou, Evangelia, Vontas, John, Van Leeuwen, Thomas, Duchateau, Luc, Yewhalaw, Delenasaw“…METHODS: Insecticide resistance was monitored in several study sites in Ethiopia from 2013 to 2015 using papers impregnated with discriminating concentrations of DDT, deltamethrin, bendiocarb, propoxur, malathion, fenitrothion and pirimiphos-methyl, following the WHO insecticide susceptibility test procedure. …”
Publicado 2017
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73103“…RESULTS: Chemical components and TEY of the 147 bioenergy sorghum samples were initially analyzed and compared using wet chemistry methods. Based on linear discriminant analysis, a correct classification assignment rate (either sweet or biomass type) of 99.3% was obtained using 20 principal components. …”
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73104por Allali, Imane, Arnold, Jason W., Roach, Jeffrey, Cadenas, Maria Belen, Butz, Natasha, Hassan, Hosni M., Koci, Matthew, Ballou, Anne, Mendoza, Mary, Ali, Rizwana, Azcarate-Peril, M. Andrea“…CONCLUSIONS: The three platforms compared in this study were capable of discriminating samples by treatment, despite differences in diversity and abundance, leading to similar biological conclusions. …”
Publicado 2017
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73105“…The tropical shrub species are classified using six different classifiers, which are artificial neural network (ANN), random forest (RF), support vector machine (SVM), k-nearest neighbour (k-NN), linear discriminant analysis (LDA) and directed acyclic graph multiclass least squares twin support vector machine (DAG MLSTSVM). …”
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73106por Meyer, Vanessa, Saccone, Donovan Sean, Tugizimana, Fidele, Asani, Furaha Florence, Jeffery, Tamsyn Jacki, Bornman, Liza“…Methylation of the third cytosine-phosphate-guanine dinucleotide (CpG) in the promoter CpG island (CGI) 1062, CGI 1062 CpG 3, significantly discriminated a 5.7-fold above average mean in VDR protein level upon TLR2/1 elicitation, the variation of which was further influenced by 25(OH)D(3) status and the VDR SNP TaqI. …”
Publicado 2017
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73107por Clarke, Nicholas, Crowe, Sophie, Humphries, Niamh, Conroy, Ronan, O’Hare, Simon, Kavanagh, Paul, Brugha, Ruairi“…However, most factors did not discriminate between intention to leave or stay. Factors that did predict intention to leave included dissatisfaction with one’s work-life balance (odds ratio (OR) 2.51; 95% confidence interval (CI) 1.53–4.10; P < 0.001); feeling that the quality of training in Ireland was poor (OR 1.82; 95% CI 1.09–3.05; P = 0.002) and leaving for family or personal reasons (OR 1.85; 95% CI 1.08–3.17; P = 0.027). …”
Publicado 2017
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73108por Karvellas, Constantine J., Speiser, Jaime L., Tremblay, Mélanie, Lee, William M., Rose, Christopher F.“…Our study suggests that FABP7 may not discriminate between patients with or without intracranial complications. …”
Publicado 2017
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73109por Ertiro, Berhanu Tadesse, Semagn, Kassa, Das, Biswanath, Olsen, Michael, Labuschagne, Maryke, Worku, Mosisa, Wegary, Dagne, Azmach, Girum, Ogugo, Veronica, Keno, Tolera, Abebe, Beyene, Chibsa, Temesgen, Menkir, Abebe“…Principal coordinate analysis, discriminant analysis of principal components (DAPC) and the model-based population structure analysis consistently suggested the presence of three groups, which generally agreed with pedigree information (genetic background). …”
Publicado 2017
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73110por Keshari, Amit K, Singh, Ashok K, Kumar, Umesh, Raj, Vinit, Rai, Amit, Kumar, Pranesh, Kumar, Dinesh, Maity, Biswanath, Nath, Sneha, Prakash, Anand, Saha, Sudipta“…Further, orthogonal partial least squares discriminant analysis scores plot demonstrated a significant separation of 4A and 6A-treated groups from carcinogen control group. …”
Publicado 2017
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73111por Winther, Jacob A., Brynildsen, Jon, Høiseth, Arne Didrik, Strand, Heidi, Følling, Ivar, Christensen, Geir, Nygård, Ståle, Røsjø, Helge, Omland, Torbjørn“…RESULTS: The median concentration of copeptin at admission was lower in AECOPD compared to acute HF (8.8 [5.2–19.7] vs. 22.2 [10.2–47.9]) pmol/L, p < 0.001), but NT-proBNP discriminated acute HF from non-HF related dyspnea more accurately than copeptin (ROC-AUC 0.85 [0.81–0.89] vs. 0.71 [0.66–0.77], p < 0.0001). …”
Publicado 2017
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73112por Sun, Hui-Zeng, Shi, Kai, Wu, Xue-Hui, Xue, Ming-Yuan, Wei, Zi-Hai, Liu, Jian-Xin, Liu, Hong-Yun“…Five metabolic pathways, including gluconeogenesis, pyruvate metabolism, the tricarboxylic acid cycle (TCA cycle), glycerolipid metabolism, and aspartate metabolism, showed the most functional enrichment among the four biofluids (false discovery rate < 0.05, fold enrichment >2). Clear discriminations were observed in the MG metabolomics profiles between the lactating and non-lactating cows, with 54 metabolites having a significantly higher abundance (P < 0.05, VIP > 1) in the lactation group. …”
Publicado 2017
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73113por Cao, Bangrong, Luo, Liping, Feng, Lin, Ma, Shiqi, Chen, Tingqing, Ren, Yuan, Zha, Xiao, Cheng, Shujun, Zhang, Kaitai, Chen, Changmin“…A predictor of 11 PPI sub-modules (11-PPI-Mod) was established to discriminate the two sub-groups, with an overall accuracy of 90.1%. …”
Publicado 2017
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73114“…CONCLUSIONS: Among experts, the scoring tool was comprehensible, usable, and sensitive to discriminate between documents with varying degrees of research use. …”
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73115por Janzen, Nils, Hofmann, Alejandro D., Schmidt, Gunnar, Das, Anibh M., Illsinger, Sabine“…Furthermore, C4- (SCADD), C14- (VLCADD) and C14-OH-carnitines (LCHADD) were discriminating between the FAOD groups. Metabolic parameters did not differ significantly between underlying MCADD variants; similar results could be observed for VLCADD- and LCHADD- variants. …”
Publicado 2017
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73116por Herath, Damayanthi, Tang, Sen-Lin, Tandon, Kshitij, Ackland, David, Halgamuge, Saman Kumara“…Furthermore, CoMet recovered contigs of more species and was 18 - 39% higher in precision than the compared existing methods in discriminating species from the sample of multiple strains. …”
Publicado 2017
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73117por Cao, Mengqiu, Suo, Shiteng, Han, Xu, Jin, Ke, Sun, Yawen, Wang, Yao, Ding, Weina, Qu, Jianxun, Zhang, Xiaohua, Zhou, Yan“…By using SPF as a discriminative index, the diagnostic sensitivity and specificity were 87.1% and 94.7%, respectively, at the optimal cut-off value of 19.26%. …”
Publicado 2018
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73118por Abu-Rumeileh, Samir, Capellari, Sabina, Stanzani-Maserati, Michelangelo, Polischi, Barbara, Martinelli, Paolo, Caroppo, Paola, Ladogana, Anna, Parchi, Piero“…NfL showed accuracy similar to that of t-tau in discriminating CJD from other NDs, but it had higher efficacy in differentiating atypical forms, especially in regard to Alzheimer’s disease. …”
Publicado 2018
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73119por Guimarães Marques, Marcia J., Reyes-Garcia, Selvin Z., Marques-Carneiro, José E., Lopes-Silva, Leonardo B., Andersen, Monica L., Cavalheiro, Esper A., Scorza, Fulvio A., Scorza, Carla A.“…Memory, learning and anxiety were investigated through the plus-maze discriminative avoidance task (PM-DAT) and object recognition test. …”
Publicado 2018
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73120por Carini, Claudio, Hunter, Ewan, Ramadass, Aroul S., Green, Jayne, Akoulitchev, Alexandre, McInnes, Iain B., Goodyear, Carl S.“…Using blood samples from MTX responders, non-responders and healthy controls, a custom designed biomarker discovery array was refined to a 5-marker CCS that could discriminate between responders and non-responders to MTX. …”
Publicado 2018
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