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72721por Uchendu, Kelechi, Njoku, Damian N., Ikeogu, Ugochukwu N., Dzidzienyo, Daniel, Tongoona, Pangirayi, Offei, Samuel, Egesi, Chiedozie“…The genotype main effects plus genotype × environment interaction (GGE) biplot analysis showed that the different test environments discriminated among the genotypes. Genotypes G80 (NR100265) and G120 (NR110512) emerged as the best performers for root mealiness in Umudike, whereas G13 (B1-50) and the check, G128 (TMEB693) performed best in Igbariam and Otobi. …”
Publicado 2022
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72722“…The scale’s validity (i.e., discriminant validity, convergent validity, criterion validity) and internal consistency reliability were evaluated. …”
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72723por Ferraz, Rafaella Sousa, Santos, Lucas Cauê Bezerra, da-Silva-Cruz, Rebecca Lais, Braga-da-Silva, Cintia Helena, Magalhães, Leandro, Ribeiro-dos-Santos, Arthur, Vidal, Amanda, Vinasco-Sandoval, Tatiana, Reis-das-Mercês, Laís, Sena-dos-Santos, Camille, Pereira, Adenilson Leão, Silva, Lilian Souza D’Albuquerque, de Melo, Franciane T. Cunha, de Souza, Ana Carolina C. Braga, Leal, Valéria S. Galvão, de Figueiredo, Priscila B. Barbosa, Neto, João F. Abrahão, de Moraes, Lorena Vilhena, de Lemos, Gabriela Nascimento, de Queiroz, Natércia Neves Marques, Felício, Karem Miléo, Cavalcante, Giovanna C., Ribeiro-dos-Santos, Ândrea, Felício, João Soares“…CONCLUSION: Our results demonstrated 41 DE miRNAs that had a great accuracy in discriminating T1DM and control group. Furthermore, we demonstrate the influence of these miRNAs on numerous metabolic pathways, including mitochondrial metabolism. …”
Publicado 2022
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72724por Tade, Grace, Hsu, Hon-Chun, Woodiwiss, Angela J, Peters, Ferande, Robinson, Chanel, Dlongolo, Noluntu, Teckie, Gloria, Solomon, Ahmed, Norton, Gavin R, Dessein, Patrick H“…In ROC curve analysis, uric acid (area under the curve (AUC)=0.877), ferritin (AUC=0.703) and albumin (AUC=0.728) concentrations effectively discriminated between dialysis patients with and without inappropriate left ventricular hypertrophy, left ventricular hypertrophy, and increased E/e,’ respectively. …”
Publicado 2022
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72725por Basu, Madhurima, Pulai, Smartya, Neogi, Subhasis, Banerjee, Mainak, Bhattacharyya, Nitai P, Sengupta, Sanghamitra, Mukhopadhyay, Pradip, Ray Chaudhury, Arpita, Ghosh, Sujoy“…Logistic regression revealed that only presence of retinopathy and duration of diabetes were statistically significant to predict histopathological diagnosis of DKD. 30% of DKD did not have retinopathy, thereby limiting the utility of the same as a discriminator. Use of traditional indicators of biopsy would have indicated a need for renal biopsy in 87.2% of subjects, though 64.5% of the subjects had DKD, who would not have benefitted from biopsy. …”
Publicado 2022
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72726por Karim, Helmet T., Aizenstein, Howard J., Mizuno, Akiko, Ly, Maria, Andreescu, Carmen, Wu, Minjie, Hong, Chang Hyung, Roh, Hyun Woong, Park, Bumhee, Lee, Heirim, Kim, Na-Rae, Choi, Jin Wook, Seo, Sang Won, Choi, Seong Hye, Kim, Eun-Joo, Kim, Byeong C., Cheong, Jae Youn, Lee, Eunyoung, Lee, Dong-gi, Cho, Yong Hyuk, Moon, So Young, Son, Sang Joon“…Brain age models may offer benefits in discriminating and tracking cognitive impairment in older adults.…”
Publicado 2022
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72727por Baca, Paulina, Barajas-Olmos, Francisco, Mirzaeicheshmeh, Elaheh, Zerrweck, Carlos, Guilbert, Lizbeth, Sánchez, Ernesto Carlos, Flores-Huacuja, Marlen, Villafán, Rafael, Martínez-Hernández, Angélica, García-Ortiz, Humberto, Contreras-Cubas, Cecilia, Centeno-Cruz, Federico, Orozco, Lorena“…Methylation profiles were able to discriminate OND from OD individuals; DNA methylation is thus a potential biomarker.…”
Publicado 2022
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72728por Oono, Yuka, Kono, Ryoko, Kiyohara, Yuki, Takagi, Saori, Ide, Yasuo, Nagasaka, Hiroshi, Kohase, Hikaru“…CPM, TSP, and OA evaluations are potentially useful for discriminating PBM responders from non-responders.…”
Publicado 2022
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72729por Yamaura, Tetsuto, Arizumi, Fumihiro, Maruo, Keishi, Kishima, Kazuya, Yoshie, Norichika, Kusukawa, Tomoyuki, Imamura, Fumiaki, Tachibana, Toshiya“…Logistic regression analysis was performed to obtain odds ratios (OR) and 95% confidence intervals (CI) of the relationships between the nutritional status and ambulatory ability. The discriminative power of the CONUT score was then compared with other nutritional assessment tools such as the Geriatric Nutritional Risk Index (GNRI) and prognostic nutritional index (PNI) by ROC analysis. …”
Publicado 2022
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72730por Ilardi, Ciro Rosario, Menichelli, Alina, Michelutti, Marco, Cattaruzza, Tatiana, Manganotti, Paolo“…RESULTS: The original cutoff demonstrated high sensitivity (0.93 [95% CI 0.84–0.98]) but low specificity (0.44 [0.32–0.56]) in discriminating between patients and controls. Nominal normative cutoffs (ES0 uLs) showed excellent specificity (SP range = 0.96–1.00 [0.88–1.00]) but poor sensitivity (SE range = 0.09–0.24 [0.04–0.36]). …”
Publicado 2022
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72731por Alıcı, Gökhan, Genç, Ömer, Urgun, Örsan Deniz, Erdoğdu, Tayfur, Yıldırım, Abdullah, Quisi, Alaa, Kurt, İbrahim Halil“…In ROC analysis, the PRECISE-DAPT score performed better discriminative ability than the SX score in determining in-hospital mortality [Area under the curve = 0.706, 95% CI 0.597–0.814; p < 0.001]. …”
Publicado 2023
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72732por Stefan, Philipp, Pfandler, Michael, Kullmann, Aljoscha, Eck, Ulrich, Koch, Amelie, Mehren, Christoph, von der Heide, Anna, Weidert, Simon, Fürmetz, Julian, Euler, Ekkehard, Lazarovici, Marc, Navab, Nassir, Weigl, Matthias“…CONCLUSIONS: This study is the first to investigate computer-assisted assessment based on a competency framework in authentic, contextualized team-based OR simulation. Our approach discriminates surgical competency across the domains of intraoperative performance. …”
Publicado 2023
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72733por Ebersbach, Jurena Christiane, Sato, Marcello Otake, de Araújo, Matheus Pereira, Sato, Megumi, Becker, Sören L., Sy, Issa“…We employed unsupervised (principal component analysis) and supervised (support vector machine, k-nearest neighbor, Random Forest, and partial least squares discriminant analysis) machine learning algorithms for the identification and differentiation of the Schistosoma species. …”
Publicado 2023
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72734“…The patient data were used to create machine learning (including decision trees (DT), random forests (RF), support vector machines (SVM), gradient boosting machines (GBM), neural networks (NNET), and regularized discriminant analysis (RDA)) and logistic regression models (LR) to estimate the probability of new fractures occurring after surgery. …”
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72735“…Eca-miR-127 was confirmed as a diagnostic discriminator between ES-affected and control equids. …”
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72736por Grazioli, Silvia, Crippa, Alessandro, Rosi, Eleonora, Candelieri, Antonio, Ceccarelli, Silvia Busti, Mauri, Maddalena, Manzoni, Martina, Mauri, Valentina, Trabattoni, Sara, Molteni, Massimo, Colombo, Paola, Nobile, Maria“…The caregiver-reported ADHD core symptom severity proved the most discriminative information for clinicians during the diagnostic decision process. …”
Publicado 2023
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72737por Cavallera, Vanessa, Lancaster, Gillian, Gladstone, Melissa, Black, Maureen M, McCray, Gareth, Nizar, Ambreen, Ahmed, Salahuddin, Dutta, Arup, Anago, Romuald Kouadio E, Brentani, Alexandra, Jiang, Fan, Schönbeck, Yvonne, McCoy, Dana C, Kariger, Patricia, Weber, Ann M, Raikes, Abbie, Waldman, Marcus, van Buuren, Stef, Kaur, Raghbir, Pérez Maillard, Michelle, Nisar, Muhammad Imran, Khanam, Rasheda, Sazawal, Sunil, Zongo, Arsène, Pacifico Mercadante, Mariana, Zhang, Yunting, Roy, Arunangshu D, Hepworth, Katelyn, Fink, Günther, Rubio-Codina, Marta, Tofail, Fahmida, Eekhout, Iris, Seiden, Jonathan, Norton, Rebecca, Baqui, Abdullah H, Khalfan Ali, Jamila, Zhao, Jin, Holzinger, Andreas, Detmar, Symone, Kembou, Samuel Nzale, Begum, Farzana, Mohammed Ali, Said, Jehan, Fyezah, Dua, Tarun, Janus, Magdalena“…We will evaluate six psychometric properties of the GSED SF and LF: concurrent validity, predictive validity at 6 months, convergent and discriminant validity, and test–retest and inter-rater reliability. …”
Publicado 2023
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72738por Liu, Fang, Wang, Gaohua, Ye, Jingping, Yao, Baozhen, Wang, Junling, Wang, Huaqian, Liu, Hong“…The prediction model demonstrated a good discriminative ability and predictive performance for beneficial clinical decisions. …”
Publicado 2023
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72739por He, Huiling, Wu, Xiaojin, Jiang, Meijuan, Xu, Zhikang, Zhang, Xuanxuan, Pan, Jianlian, Fu, Xinyu, Luo, Yunkai, Chen, Jian“…This study aimed to assess the diagnostic performance of CEUS synchronized with shear wave elastography (SWE) in discriminating between benign and malignant breast lesions by using real-time contrast elastography images to analyze shell elasticity and contrast intensity. …”
Publicado 2023
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72740“…RESULTS: The results demonstrate that the effect sizes and the classification accuracies increase while the variances in effect sizes shrink with the increment of samples when the datasets have a good discriminative power between two classes. By contrast, indeterminate datasets had poor effect sizes and classification accuracies, which did not improve by increasing sample size in both simulated and real datasets. …”
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