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An index for large areas called Area at Risk of Fire (SeR) was developed
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74361“…A regression model looking at discriminating false positives has also shown that human-centred variables accounted for a reasonable degree of variance (41%), with perceptions of maliciousness, intelligence and on-task confidence contributing significantly, directly and/or indirectly via perception of maliciousness. …”
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74362por Adret, Patrice, Dingess, Kimberly A., Caselli, Christini B., Vermeer, Jan, Martínez, Jesus, Luna Amancio, Jossy C., van Kuijk, Silvy M., Hernani Lineros, Lucero M., Wallace, Robert B., Fernandez-Duque, Eduardo, Di Fiore, Anthony“…We conducted a power spectral analysis of duets and choruses (simply “duets” hereafter) followed by linear discriminant analysis using three acoustic parameters—dominant frequency of the combined signal, duet sequence duration, and pant call rate—comparing the coordinated vocalizations recorded from 36 family groups at 18 sites in Bolivia, Peru and Ecuador. …”
Publicado 2018
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74363por Applegate, Megan E, France, Christopher R, Russ, David W, Leitkam, Samuel T, Thomas, James S“…BACKGROUND: Sørensen trunk extension endurance test performance predicts the development of low back pain and is a strong discriminator of those with and without low back pain. …”
Publicado 2018
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74364por McPhail, Brooks, Tie, Yunfeng, Hong, Huixiao, Pearce, Bruce A., Schnackenberg, Laura K., Ge, Weigong, Fuscoe, James C., Tong, Weida, Buzatu, Dan A., Wilkes, Jon G., Fowler, Bruce A., Demchuk, Eugene, Beger, Richard D.“…SDAR is an innovative modeling approach that relies on discriminant analysis applied to binned nuclear magnetic resonance (NMR) spectral descriptors. …”
Publicado 2012
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74365por COVEI-BANICIOIU, S., CIUREA, P.L., PARVANESCU, C.D., CHISALAU, B.A., BARBULESCU, A., CEPAREANU, M., FIRULESCU, S., VREJU, A.F.“…The US found more changes compared to clinical examination and manage to discriminate between the types of changes found more frequently in inflammatory conditions.…”
Publicado 2016
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74366por Salazar-Ruales, Carolina, Arguello, Jessica-Viviana, López-Cortés, Andrés, Cabrera-Andrade, Alejandro, García-Cárdenas, Jennyfer M., Guevara-Ramírez, Patricia, Peralta, Patricio, Leone, Paola E., Paz-y-Miño, César“…Finally, the expression profiles of the five miRNAs were evaluated to discriminate HNSCC patient's tumor stages (TNM 2-4). miR-122-5p differentiates TNM 2 and 3 (p = 0.002, AUC = 0.92), miR-124-3p TNM 2, 3, and 4 (p < 0.001, AUC = 98), miR-146a-5p TNM 2 and 3 (p < 0.001, AUC = 0.97), and miR-92a-3p TNM 3 (p < 0.001, AUC = 0.99). …”
Publicado 2018
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74367“…Our approach is innovative in that it took a scientific framework (ie, TDF) and made it digestible to parents so that they could then provide their opinions about features that might appear in a future app. Our survey items discriminated between various health behaviors allowing stakeholders to communicate the different health behaviors that they would like a TDF feature to change. …”
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74368por Lv, Jing, Guo, Lei, Wang, Ji-Han, Yan, Yu-Zhu, Zhang, Jun, Wang, Yang-Yang, Yu, Yan, Huang, Yun-Fei, Zhao, He-Ping“…The receiver operating characteristic curve analysis was performed for both datasets and found that TIMP1 and COL1A1 could discriminate EAC from NE tissue, while REG1A, MMP1, and CA2 could distinguish BE from NE tissue. …”
Publicado 2019
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74369por Hemond, Christopher C., Glanz, Bonnie I., Bakshi, Rohit, Chitnis, Tanuja, Healy, Brian C.“…Lastly, higher NLR and MLR significantly discriminated progressive from relapsing status (p ≤ 0.01 for both), and higher MLR correlated with increased whole-brain atrophy (p < 0.05) but not T2 hyperintense lesion volume (p > 0.05) even after controlling for all clinical and demographic covariates. …”
Publicado 2019
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74370por Kuo, I-Ying, Huang, Yu-Lin, Lin, Chien-Yu, Lin, Chien-Hsun, Chang, Wei-Lun, Lai, Wu-Wei, Wang, Yi-Ching“…SOX17 protein expression exhibited a good prediction performance in discriminating poor CCRT responders from good responder. …”
Publicado 2019
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74371por Pesenti, Christian, Bories, Erwan, Caillol, Fabrice, Ratone, Jean Philippe, Godat, Sebastien, Monges, Genevieve, Poizat, Flora, Raoul, Jean Luc, Ries, Pauline, Giovannini, Marc“…The aim of this retrospective analysis was to evaluate whether contrast-enhanced EUS can discriminate benign submucosal lesions from malignant ones. …”
Publicado 2019
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74372por Liu, Meijuan, Zhu, Huijuan, Zhai, Tianshu, Pan, Hui, Wang, Linjie, Yang, Hongbo, Yan, Kemin, Zeng, Yong, Gong, Fengying“…ZAG might be the potential diagnostic biomarkers for PCAD patients, and the combination of ZAG and clinical variables had higher discriminative performance.…”
Publicado 2019
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74373por Aniort, Julien, Stella, Alexandre, Philipponnet, Carole, Poyet, Anais, Polge, Cécile, Claustre, Agnès, Combaret, Lydie, Béchet, Daniel, Attaix, Didier, Boisgard, Stéphane, Filaire, Marc, Rosset, Eugénio, Burlet‐Schiltz, Odile, Heng, Anne‐Elisabeth, Taillandier, Daniel“…Orthogonal partial least square discriminant analysis created a model, which distinguished the muscles of diseased patients (LC or HD) from those of CT subjects. …”
Publicado 2019
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74374Serum HBV RNA quantification: useful for monitoring natural history of chronic hepatitis B infection“…In HBeAg-negative patients, serum HBV RNA levels increased if there is reactivation to active hepatitis and showed obvious superiority for the combination of serum HBV DNA (cutoff>3.39 Log copies/mL) and HBsAg (cutoff>2.74 Log IU/mL) in discriminating between ‘HBeAg-negative immune reactive’ phase and inactive chronic hepatitis B phases of HBeAg-negative chronic HBV infection. …”
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74375por den Biggelaar, Louise J. C. J., Sep, Simone J. S., Eussen, Simone J. P. M., Mari, Andrea, Ferrannini, Ele, van Greevenbroek, Marleen M. J., van der Kallen, Carla J. H., Schalkwijk, Casper G., Stehouwer, Coen D. A., Dagnelie, Pieter C.“…CONCLUSIONS/INTERPRETATION: BCF indices reflecting early-phase insulin secretion have the best ability to discriminate individuals who will develop prediabetes and type 2 diabetes. …”
Publicado 2016
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74376por Mossotto, E., Ashton, J. J., O’Gorman, L., Pengelly, R. J., Beattie, R. M., MacArthur, B. D., Ennis, S.“…In the absence of a comparator metric, we examine GenePy performance in discriminating genes known to be associated with three common, complex diseases. …”
Publicado 2019
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74377“…Our cases illustrate the following points: a. hepatomegaly in poorly controlled T1DM is likely GH. b. elevated lactate levels favor GH as elevated lactate levels are not seen in steatohepatitis, the caveat being that ultrasound cannot discriminate between the two conditions c. DKA can unmask this lactic acidemia which can be present in half of the patients with Mauriac’s syndrome d. liver biopsy is the gold standard for diagnosis of GH though gradient-dual-echo liver MRI can be non-invasive alternative for diagnosis of GH.…”
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74378por Hoyos, Luis, Leung, Karen, Grogan, Tristan, Abbott, David, Chazenbalk, Gregorio, Dumesic, Daniel“…PCOS women also had greater (P=0.007) adipose-IR than controls, with a value of 29 pM/L*mM/L providing 94% specificity (95% CI 84%-100%) and 80% sensitivity (95% CI 55%-100%) in discriminating PCOS subjects from controls (AUC=0.81, 95% CI 0.61-1.00, P<0.001). …”
Publicado 2019
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74379por Pereira, Adenilson, Moreira, Fabiano, Vinasco-Sandoval, Tatiana, Cunha, Adenard, Vidal, Amanda, Ribeiro-dos-Santos, André M., Pinto, Pablo, Magalhães, Leandro, Assumpção, Mônica, Demachki, Samia, Santos, Sidney, Assumpção, Paulo, Ribeiro-dos-Santos, Ândrea“…Additionally, these miRNAs have a great accuracy in discriminating non-cancerous from adjacent to tumor and cancer tissues and can be potentially useful as biomarkers for gastric cancer.…”
Publicado 2019
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74380por Fiorino, Claudio, Passoni, Paolo, Palmisano, Anna, Gumina, Calogero, Cattaneo, Giovanni M., Broggi, Sara, Di Chiara, Alessandra, Esposito, Antonio, Mori, Martina, Ronzoni, Monica, Rosati, Riccardo, Slim, Najla, De Cobelli, Francesco, Calandrino, Riccardo, Di Muzio, Nadia G.“…Cox models not including/including ERI(TCP) (CONV_model and REGR_model respectively) were assessed and their discriminative power compared. RESULTS: At a median follow-up of 47 months, OS, LRFS and DMFS were 94%, 95% and 78%. …”
Publicado 2019
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