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An index for large areas called Area at Risk of Fire (SeR) was developed
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74601por Sadri, Hassan, von Soosten, Dirk, Meyer, Ulrich, Kluess, Jeannette, Dänicke, Sven, Saremi, Behnam, Sauerwein, Helga“…Multivariate metabolomics data analysis (principal component analysis and partial least squares discriminant analysis) revealed a clear separation when the DIL cows were compared with the DIG and SAL cows at 50 and 120 min after the infusion. …”
Publicado 2017
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74602por Mramba, Lazarus, Ngari, Moses, Mwangome, Martha, Muchai, Lilian, Bauni, Evasius, Walker, A Sarah, Gibb, Diana M, Fegan, Gregory, Berkley, James A“…The AUCs for MUAC-for-age and body mass index-for-age z scores for discriminating subsequent mortality were 0.81 (95% confidence interval 0.70 to 0.92) and 0.75 (0.63 to 0.86) in the ARROW trial (absolute difference 0.06, 95% confidence interval −0.032 to 0.16; P=0.2) and 0.73 (0.65 to 0.80) and 0.58 (0.49 to 0.67), respectively, in Kenya (absolute difference in AUC 0.15, 0.07 to 0.23; P=0.0002). …”
Publicado 2017
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74603por Morandi, Luca, Gissi, Davide, Tarsitano, Achille, Asioli, Sofia, Gabusi, Andrea, Marchetti, Claudio, Montebugnoli, Lucio, Foschini, Maria Pia“…ROC curve analysis identified the most informative CpGs, and we correctly stratified OSCC and HGSIL from normal donors using a multiclass linear discriminant analysis in a 13-gene panel (AUC 0.981). …”
Publicado 2017
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74604por Widschwendter, Martin, Zikan, Michal, Wahl, Benjamin, Lempiäinen, Harri, Paprotka, Tobias, Evans, Iona, Jones, Allison, Ghazali, Shohreh, Reisel, Daniel, Eichner, Johannes, Rujan, Tamas, Yang, Zhen, Teschendorff, Andrew E., Ryan, Andy, Cibula, David, Menon, Usha, Wittenberger, Timo“…Despite this, the marker panel discriminated high grade serous OC patients from healthy women or patients with a benign pelvic mass with specificity/sensitivity of 90.7% (95% confidence interval [CI] = 84.3–94.8%) and 41.4% (95% CI = 24.1–60.9%), respectively. …”
Publicado 2017
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74605por Mytton, Oliver T., Forouhi, Nita G., Scarborough, Peter, Lentjes, Marleen, Luben, Robert, Rayner, Mike, Khaw, Kay Tee, Wareham, Nicholas J., Monsivais, Pablo“…This suggests, in the UK setting, that the FSA-Ofcom model is not consistently discriminating among foods with respect to their association with CVD. …”
Publicado 2018
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74606por Amati, Eliana, Perbellini, Omar, Rotta, Gianluca, Bernardi, Martina, Chieregato, Katia, Sella, Sabrina, Rodeghiero, Francesco, Ruggeri, Marco, Astori, Giuseppe“…This study provides a 246-antigen immunophenotypic analysis of BM- and CB-derived MSC aimed at identifying common and strongly expressed MSC markers as well as the existence of discriminating markers between the two sources. METHODS: BM-MSC (n = 4) were expanded and analyzed as bulk (n = 6) or single clones isolated from the bulk culture (n = 3). …”
Publicado 2018
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74607por Jia, Zhen, Shi, Yueyi, Zhang, Lei, Ren, Yipeng, Wang, Tong, Xing, Lejun, Zhang, Baorong, Gao, Guolan, Bu, Rongfa“…In comparison to MeDIP-seq and BS-seq, MB-seq offers several key advantages, including single-base resolution, discriminating the methylated sites within a CpG and non-CpG pattern and overcoming the false positive of MeDIP-seq due to the non-specific binding of 5-methylcytidine antibody to genomic fragments. …”
Publicado 2018
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74608por Song, Chun‐Jiao, Chen, Huan, Chen, Li‐Zhong, Ru, Guo‐Mei, Guo, Jian‐Jun, Ding, Qian‐Nan“…The pooled or stratified analyze showed 10 up‐regulated miRNAs (miR‐18a, miR‐34a, miR‐106b, miR‐141, miR‐182, miR‐183, miR‐200a/b, miR‐301a, and miR‐375) and 14 down‐regulated miRNAs (miR‐1, miR‐23b/27b, miR‐30c, miR‐99b, miR‐139‐5p, miR‐152, miR‐187, miR‐204, miR‐205, miR‐224, miR‐452, miR‐505, and let‐7c) had relatively good diagnostic and predictive potential to discriminate PC from BPH/normal controls. Furthermore, high expression of miR‐32 and low expression of let‐7c could be used to differentiate metastatic PC from local/primary PC. …”
Publicado 2017
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74609por Wanders, Johanna O. P., van Gils, Carla H., Karssemeijer, Nico, Holland, Katharina, Kallenberg, Michiel, Peeters, Petra H. M., Nielsen, Mads, Lillholm, Martin“…CONCLUSIONS: Deep-learning-based texture pattern scores, measured automatically on digital mammograms, are associated with breast cancer risk, independently of volumetric mammographic density, and augment the capacity to discriminate between future breast cancer and non-breast cancer cases. …”
Publicado 2018
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74610Metabolic profiles in community-acquired pneumonia: developing assessment tools for disease severitypor Ning, Pu, Zheng, Yali, Luo, Qiongzhen, Liu, Xiaohui, Kang, Yu, Zhang, Yan, Zhang, Rongbao, Xu, Yu, Yang, Donghong, Xi, Wen, Wang, Keqiang, Chen, Yusheng, An, Shuchang, Gao, Zhancheng“…Combining lactate, sphinganine and DHEA-S as a metabolite panel for discriminating severe CAP from non-severe CAP exhibited a better AUC of 0.911 (95% confidence interval 0.825–0.998) than CURB-65, PSI and APACHE II scores. …”
Publicado 2018
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74611por Papadaki, Chara, Stratigos, Michalis, Markakis, Georgios, Spiliotaki, Maria, Mastrostamatis, Georgios, Nikolaou, Christoforos, Mavroudis, Dimitrios, Agelaki, Sofia“…ROC curve analysis revealed that miR-21, miR-23b, miR-190 and miR-200c discriminated relapsed from non-relapsed patients. A combination of of miR-21, miR-23b and miR-190 showed higher sensitivity and specificity in ROC analyses compared to each miRNA alone; accuracy was further improved by adding lymph node infiltration and tumor grade to the panel of three miRs (AUC 0.873). …”
Publicado 2018
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74612“…Classification was done by linear discriminant analysis (LDA) and support vector machine (SVM). …”
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74613por Chen, Xiaohua, You, Yuan-Gang, Yuan, You-Hua, Yuan, Lian Chao, Zhang, Ying, Yan, Wen“…M. leprae antigen-specific ELISA demonstrated relatively high specificity (86.84–97.37%) but low sensitivity (15.97–72.73%) in discriminating between leprosy patients and non-leprosy controls by ROC curve analysis. …”
Publicado 2018
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74614por Atanga, Pascal N., Ndetan, Harrison T., Fon, Peter N., Meriki, Henry D., Muffih, Tih P., Achidi, Eric A., Hoelscher, Michael, Kroidl, Arne“…CONCLUSIONS: During the first year of Option B+ implementation in Cameroon our novel CAS adherence tool was feasible, and useful to discriminate ART adherence levels which correlated with viral suppression. …”
Publicado 2018
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74615por Yung, Yuk L., Chen, Pin, Nealson, Kenneth, Atreya, Sushil, Beckett, Patrick, Blank, Jennifer G., Ehlmann, Bethany, Eiler, John, Etiope, Giuseppe, Ferry, James G., Forget, Francois, Gao, Peter, Hu, Renyu, Kleinböhl, Armin, Klusman, Ronald, Lefèvre, Franck, Miller, Charles, Mischna, Michael, Mumma, Michael, Newman, Sally, Oehler, Dorothy, Okumura, Mitchio, Oremland, Ronald, Orphan, Victoria, Popa, Radu, Russell, Michael, Shen, Linhan, Sherwood Lollar, Barbara, Staehle, Robert, Stamenković, Vlada, Stolper, Daniel, Templeton, Alexis, Vandaele, Ann C., Viscardy, Sébastien, Webster, Christopher R., Wennberg, Paul O., Wong, Michael L., Worden, John“…Recent missions such as ExoMars Trace Gas Orbiter may provide mapping of the global distribution of CH(4). To discriminate between abiotic and biotic sources of CH(4) on Mars, future studies should use a series of diagnostic geochemical analyses, preferably performed below the ground or at the ground/atmosphere interface, including measurements of CH(4) isotopes, methane/ethane ratios, H(2) gas concentration, and species such as acetic acid. …”
Publicado 2018
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74616por Leng, Shuang, Tan, Ru-San, Zhao, Xiaodan, Allen, John C., Koh, Angela S., Zhong, Liang“…The fast LA strains and SRs were similar to FT-CMR for discriminating patients from controls (area under the curve (AUC) = 0.79 to 0.96 vs. 0.76 to 0.93, p = NS). …”
Publicado 2018
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74617por Gayani Tillekeratne, L, Suchindran, Sunil, Ko, Emily, Petzold, Elizabeth, Bodinayake, Champica K, Nagahawatte, Ajith, Devasiri, Vasantha, Kurukulasooriya, Ruvini, Reller, Megan E, Nicholson, Bradly P, Burke, Thomas, Mcclain, Micah T, Tsalik, Ephraim L, Henao, Ricardo, Ginsburg, Geoffrey S, Woods, Christopher W“…We observed high predictive accuracy in discriminating bacterial and viral infections: AUROC 0.91 for the bacterial and AUROC 0.81 for the viral model. …”
Publicado 2018
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74618“…Three types of NER can be experimentally discriminated: sequestered and entrapped residues (type I), containing either the parent substance or xenobiotic transformation products or both and having the potential to be released, which has indeed been observed. …”
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74619por Jevrić, Marko, Matić, Ivana Z., Krivokuća, Ana, Đorđić Crnogorac, Marija, Besu, Irina, Damjanović, Ana, Branković-Magić, Mirjana, Milovanović, Zorka, Gavrilović, Dušica, Susnjar, Snezana, Kisić Tepavčević, Darija, Stanojković, Tatjana“…ROC analysis confirmed the uPA and PAI-1 discriminative potential for the presence/absence of relevant events in these patients and resulted in higher cut-off values (5.65 ng/mg of protein for uPA and 27.10 ng/mg of protein for PAI-1) than standard reference cut-off values for both biomarkers. …”
Publicado 2019
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74620por Adela, Ramu, Reddy, Podduturu Naveen Chander, Ghosh, Tarini Shankar, Aggarwal, Suruchi, Yadav, Amit Kumar, Das, Bhabatosh, Banerjee, Sanjay K.“…The purpose of the present study was to discriminate the Indian CAD patients with or without T2DM by using multiple pathophysiological biomarkers. …”
Publicado 2019
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