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An index for large areas called Area at Risk of Fire (SeR) was developed
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74681por Thaker, Vidhu V, Deng, Shuliang, Gorski, Grzegorz, Vedantam, Sailaja, Clish, Clary, Salem, Rany, Hirschhorn, Joel N“…Partial least-square discriminant analysis (PLS-DA), a supervised classification framework used for datasets with thousands of correlated variables and a small number of samples that performs variable selection and classification as a one-step procedure, was used to identify the informative features that defined the two groups. …”
Publicado 2021
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74682por Pötsch, Nina, Dietzel, Matthias, Kapetas, Panagiotis, Clauser, Paola, Pinker, Katja, Ellmann, Stephan, Uder, Michael, Helbich, Thomas, Baltzer, Pascal A. T.“…After principal component analysis (PCA), a neural network–derived A.I. classifier to discriminate benign from malignant lesions was constructed and tested using a random split simple approach. …”
Publicado 2021
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74683por Nedel, Wagner Luis, Kopczynski, Afonso, Rodolphi, Marcelo Salimen, Strogulski, Nathan Ryzewski, De Bastiani, Marco, Montes, Tiago Hermes Maeso, Abruzzi Jr, Jose, Galina, Antonio, Horvath, Tamas L., Portela, Luis Valmor“…Also, the BCE at D1 and D3 and the ΔBCE discriminated patients who would evolve to death in the ICU, hospital ward, and 6 months after admission. …”
Publicado 2021
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74684“…Based on these preliminary assessments, the assays described herein had reasonable inter-rater reliability, and they were able to both discriminate between cats with and without oral cancer, and respond in a predictable manner to analgesic therapy. …”
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74685por Klein, Jan, Horn, Elisa, Ernst, Mona, Leykauf, Tim, Leupold, Tamara, Dorfner, Maja, Wolf, Laura, Ignatova, Anastasiia, Kreis, Wolfgang, Munkert, Jennifer“…Since progesterone is a precursor of cardenolides but can also act as a reactive electrophile species (RES), we here discriminated between these by comparing the effects of progesterone and methyl vinyl ketone, a small RES but not a precursor of cardenolides. …”
Publicado 2021
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74686“…There was a significant correlation between human beta-defensin-3 mRNA expression and the corresponding protein level in sepsis patients (r = 0.358, p = 0.04), but not in healthy controls (r = 0.124, p = 0.51). For discriminating sepsis patients from healthy controls, the area under the receiver operating characteristic curve was 0.722 (95% confidence interval: 0.597–0.847, p = 0.002) for human beta-defensin-3 mRNA and 0.689 (95% confidence interval: 0.557–0.827, p = 0.009) for human beta-defensin-3 protein. …”
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74687por Izumi, Daisuke, Zhu, Zhongxu, Chen, Yuetong, Toden, Shusuke, Huo, Xinying, Kanda, Mitsuro, Ishimoto, Takatsugu, Gu, Dongying, Tan, Miaomiao, Kodera, Yasuhiro, Baba, Hideo, Li, Wei, Chen, Jinfei, Wang, Xin, Goel, Ajay“…Three tissue miRNA data sets were used to identify a miRNA signature that discriminated GC vs normal tissues. The robustness of this signature was assessed in serum from 2 retrospective cohorts of patients with GC. …”
Publicado 2021
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74688por Liao, Guichan, Ding, Xia, Xia, Muye, Wu, Yin, Chen, Hongjie, Fan, Rong, Zhang, Xiaoyong, Cai, Shaohang, Peng, Jie“…In majority of patients (n = 91) who had a high EOT HBsAg level (≥100 IU/mL), serum HBcrAg level could further discriminate patients at low risk of clinical relapse. …”
Publicado 2021
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74689por Wang, Junfeng, Yuan, Tanwei, Ding, Haibo, Xu, Junjie, Keusters, Willem R, Ling, Xuemei, Fu, Leiwen, Zhu, Qiyu, Li, Quanmin, Tang, Xiaoping, Cai, Weiping, Shang, Hong, Li, Linghua, Zou, Huachun“…To assess the model's predictive ability, we quantified the discriminative power using the concordance (C) statistic and calibration accuracy by comparing predicted survival probabilities with observed survival probabilities estimated with the Kaplan–Meier method. …”
Publicado 2021
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74690por Rauseo, Michela, Mirabella, Lucia, Laforgia, Donato, Lamanna, Angela, Vetuschi, Paolo, Soriano, Elisa, Ugliola, Daniele, Casiello, Elena, Tullo, Livio, Cinnella, Gilda“…The burden of so many patients and the lack of intensive care unit (ICU) beds often force physicians to choose non-invasive ventilation (NIV) as the first approach, even if no consent has still been reached to discriminate whether it is safer to choose straightforward intubation, paralysis, and protective ventilation. …”
Publicado 2021
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74691por Toraih, Eman A., Fawzy, Manal S., Hussein, Mohammad H., El-Labban, Mohamad M., Ruiz, Emmanuelle M. L., Attia, Abdallah A., Halat, Shams, Moroz, Krzysztof, Errami, Youssef, Zerfaoui, Mourad, Kandil, Emad“…The ATA risk score showed poor discriminative ability (AUC = 0.518, p = 0.80). In contrast, the microRNA-based risk score showed high accuracy in predicting tumor progression in the whole cohorts (median = 1.87 vs. 0.39, AUC = 0.944) and RAI group (2.23 vs. 0.37, AUC = 0.979) at the cutoff >0.86 (92.6% accuracy, 88.6% sensitivity, 97% specificity) in the whole cohorts (C-statistics = 0.943/Brier = 0.083) and RAI subgroup (C-statistic = 0.978/Brier = 0.049). …”
Publicado 2021
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74692“…Results: Our deep learning ConvNet+SVM model obtained a discriminative training accuracy of 97.7% and validating accuracy of 97.8%, contrary to this, VGGNet16 method yielded 90.2%, 93.5% for VGGNet19, 63.4% for GoogLeNet, 82.9% for MobileNetV2, 75.1% for ResNet50, and 72.9% for DenseNet121. …”
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74693por Vacchiano, Veria, Mastrangelo, Andrea, Zenesini, Corrado, Masullo, Marco, Quadalti, Corinne, Avoni, Patrizia, Polischi, Barbara, Cherici, Arianna, Capellari, Sabina, Salvi, Fabrizio, Liguori, Rocco, Parchi, Piero“…Both cNfL and pNfL demonstrated a good diagnostic value in discriminating the two groups, although cNfL performed slightly better (cNfL: AUC 0.924 ± 0.022, sensitivity 86.8%, specificity 92.4; pNfL: AUC 0.873 ± 0.036, sensitivity 84.7%, specificity 83.3%). …”
Publicado 2021
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74694por Zhang, Yanan, Chen, Zeyang, Jin, Feng, Guo, Dong, Chen, Qingqing, Liu, Zhengcao, Ji, Shengjun, Gao, Guanqi“…The optimal cutoff value of the SII for predicting prognosis was assessed by receiver operating characteristic (ROC) curves with the maximum log-rank values. The discriminative ability of predicting prognosis was calculated and compared using the Kaplan–Meier method and log-rank test. …”
Publicado 2021
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74695por Wang, Wei, Baker, Michelle, Hu, Yue, Xu, Jin, Yang, Dajin, Maciel-Guerra, Alexandre, Xue, Ning, Li, Hui, Yan, Shaofei, Li, Menghan, Bai, Yao, Dong, Yinping, Peng, Zixin, Ma, Jinjing, Li, Fengqin, Dottorini, Tania“…Finally, we identified genetic determinants of resistance to 10 antimicrobials, discriminating drug-resistant bacteria from susceptible strains in the cohort. …”
Publicado 2021
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74696por Carvajal, Cristian A., Tapia-Castillo, Alejandra, Pérez, Jorge A., Fardella, Carlos E.“…ROC curves detected AUC for AGP1 of 0.90 (IC 95 [0.79 – 1.00], p <0.001), and combination of AGP1 and EV-miR-21-5p showed an AUC of 0.94 (IC 95 [0.85 – 1.00], p<0.001) to discriminate the PA condition from EH and controls. CONCLUSION: Serum AGP1 protein was found to be increased, and miR-21-5p in uEVs was decreased in subjects classified as PA. …”
Publicado 2021
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74697por Diaz, Franco, Bustos B, Raúl, Yagnam, Felipe, Karsies, Todd J., Vásquez-Hoyos, Pablo, Jaramillo-Bustamante, Juan-Camilo, Gonzalez-Dambrauskas, Sebastián, Drago, Michelle, Cruces, Pablo“…Furthermore, IL-6 levels don't discriminate between MIS-C cases with and without shock. …”
Publicado 2021
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74698por Kim, Jin K., Qu, Xuan, Chen, Chin-Tung, Smith, J. Joshua, Sanchez-Vega, Francisco, Garcia-Aguilar, Julio“…This miRNA signature had an excellent discriminative value for distinguishing stage II or III from stage I rectal tumors (area under the curve, 0.88; 95% CI, 0.83-0.94 in ACOSOG/TIMING cohort and area under the curve, 0.84; 95% CI, 0.77-0.91 in the TCGA-READ cohort). …”
Publicado 2021
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74699por Harry, Brian L, Qiu, Yue, Lu, Ling, Couto-Rodriguez, Mara, Nagy-Szakal, Dorottya, O’Hara, Niamh B, Lu, Shi-Long“…Testing of clinical samples revealed that VOC emerged in Denver, CO in March 2021. Future work to discriminate beta, gamma, and emerging VOC is ongoing. …”
Publicado 2021
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74700por Roberto, T.N., de Carvalho, J.A., Beale, M.A., Hagen, F., Fisher, M.C., Hahn, R.C., de Camargo, Z.P., Rodrigues, A.M.“…Considering the overall scored AFLP markers in vitro (67–87 fragments), the values of polymorphism information content (PIC = 0.3345–0.3456), marker index (MI = 0.0018), effective multiplex ratio (E = 44.6788–60.3818), resolving power (Rp = 22.3152–34.3152), discriminating power (D = 0.5183–0.5553), expected heterozygosity (H = 0.4247–0.4443), and mean heterozygosity (H(avp) = 0.00002–0.00004), demonstrated the utility of AFLP markers to speciate Paracoccidioides and to dissect both deep and fine-scale genetic structures. …”
Publicado 2021
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