“…Twenty-four growing-finishing pigs (Duroc × Large White × Landrace, 30 ± 1 kg body weight) were randomly assigned to three treatments (n = 8), 1) thermal neutral (TN) conditions (25 ± 1 °C) with ad libitum FI, 2) HS conditions (35 ± 1 °C) with ad libitum FI, 3) pair-fed (PF) with HS under TN conditions to discriminate the confounding effects of dissimilar FI, and the FI was the previous day’s average FI of HS. …”
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“…The first algorithm (Fun01) identifies green plants based on the combination of [Formula: see text] , [Formula: see text] , and [Formula: see text] ([Formula: see text] , [Formula: see text] , and [Formula: see text] are the actual pixel digital numbers from the images based on each RGB channel, [Formula: see text] is the abbreviation of the Excess Green index), the second algorithm (Fun02) is a decision tree that uses color properties to discriminate plants from the background, the third algorithm (Fun03) uses [Formula: see text] ([Formula: see text] is the abbreviation of the Excess Red index) to recognize plants in the image, and the fourth algorithm (Fun04) uses [Formula: see text] and [Formula: see text] to separate the plants from the background. …”
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“…These phospho-epitopes also discriminated between Aβ-positive and Aβ-negative cognitively unimpaired individuals: pT217 (TRIAD: AUC = 83.26, fold change = 2.39; BioFINDER-2: AUC = 91.05%, fold change = 3.29), pT231 (TRIAD: AUC = 86.25, fold change = 3.80; BioFINDER-2: AUC = 78.69%, fold change = 3.65) and pT205 (TRIAD: AUC = 71.58, fold change = 1.51; BioFINDER-2: AUC = 71.11%, fold change = 1.70). …”
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“…The ROC curve showed that the area under the curve (AUC) of BUN/ALB ratio for in-hospital death was 0.87, (95%CI 0.81–0.93, P < 0.001), the best cut-off point value to discriminate survivors from non-survivors in hospital was 0.249, the sensitivity was 78.3%, the specificity was 86.5%, and Youden’s index was 0.648. …”
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“…The first idea is to take advantage of the good timing properties of the NINO chip, which is a fast preamplifier-discriminator developed for the ALICE Time of flight detector at CERN. …”
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“…In both cases, the transverse momentum range goes well beyond the values reached so far, which may help discriminate various theoretical models. The results show similar pT-dependence for prompt and non-prompt differential cross sections. …”
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“…Multivariate methods were used to discriminate between signal and background events, and this thesis presents both the standard analysis methods and newer multivariate methods of a more tentative nature used for classification of events as signal ${t\bar{t}H\left(b\bar{b}\right)}$ and background ${t\bar{t}b\bar{b}}$ in order to investigate the efficacy of these methods. …”
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“…DISCUSSION: Simple renal cysts are typically single, unilateral, and usually possess four distinct characteristics: lack internal echoes, have increased posterior acoustic enhancement, have a uniform round/oval shape, and have thin posterior walls/demarcated borders.1 If all of these ultrasound features are met, additional imaging does not always have to be obtained.1,2 Simple renal cysts are usually benign, asymptomatic, and often appear as incidental findings on imaging.2,3 Generally, the number of renal cysts increase as a person ages.3 A renal cyst may be classified as a complex cyst when it fails to be defined as a simple cyst.1 Characteristics of complex renal cysts may include septations, calcifications, internal echoes, or other irregularities.1 Cysts can also become more complex by hemorrhage or infection, which is usually evident on ultrasound by internal echoes.1 Calcifications can also form within the cyst, which can make it challenging to discriminate a simple cyst from cystic renal tumors.2 Both malignant and hemorrhagic cysts often have irregular boarders and echogenic material within their walls and within the cyst.4 On ultrasound, infected renal cysts are characterized by thickened walls sometimes with debris or gas.1,3 Calcifications may be present with increased attenuation.3 Infected cysts are diagnosed by a combination of imaging findings and clinical characteristics.3,5 While simple cysts are usually asymptomatic, malignant or more complex cysts are more likely to be symptomatic.3 To further distinguish hemorrhagic cysts from malignant tumors, a CT or magnetic resistance imaging (MRI) should be performed.2 Computed tomography is more sensitive than ultrasound for identifying a renal mass, but ultrasound is effective for further characterizing a simple cyst from a complex cyst.3,6 One study reported that CT, MRI, and MRI with diffusion-weighted imaging (DWI) had 100% sensitivity at identifying the presence of possible malignant renal lesions, but CT and MRI had lower specificity (66.9% and 68.8%) than MRI with DWI (93.8%).7 Further classifying the type of renal cyst – simple vs complex or hemorrhagic vs infected vs malignant – aids in guiding management. …”
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“…High level 5-hydroxylmethylation in these genes may serve as a discriminative biomarker to diagnose patients who are likely to experience early failure during androgen deprivation therapy.…”
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“…(C) The top 15 most discriminating taxonomic group between PNTM and PTB. (D) The performance of classifiers in the cohort was measured by the area under the ROC curve (AUC). …”
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“…Loading doses significantly improved the likelihood of optimal vs. suboptimal target attainment in ELF and plasma (96.2% vs. 14.3%; p< 0.0001) but did not reliably discriminate other groups. [Figure: see text] Individual observed meropenem (ordinate) and model predicted meropenem (abscissa) concentrations in plasma (A) and ELF (B) in patients with pneumonia. …”
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“…In addition, we incorporated the new ISUP prognostic score as a discriminator. Using this approach, a new five-stratum risk stratification system was produced, and its prognostic power was compared against the current system, with PCSM as the outcome. …”
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“…In 2016, the European Journal of Psychotraumatology was the first to implement a gender policy (Olff, 2016), i.e. authors are asked to: report the sex of research subjects, justify single-sex studies, discriminate between sex and gender (mostly for human research), analyse how sex or gender impact the results, and discuss sex and gender issues when relevant. …”
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“…Using machine-learning methods, we identified a panel of 26 metabolites from two main classes—sphingolipids and glycerophospholipids—that discriminated AD and CN samples with accuracy, sensitivity, and specificity of 83.33%, 86.67%, and 80%, respectively. …”
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“…Using microsatellite data, discriminant analysis of principle components (DAPC) and Bayesian clustering analyses both indicated genetic structure concordant with the geographic distribution of 3 desert subspecies. …”
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“…CONCLUSIONS: The new EQ-5D-5L questionnaire has an acceptable ceiling effect, a good construct validity based on the discriminant ability for distinguishing among health-related known groups, and high reliability, supporting its adequacy for assessing the HRQoL in patients with asthma. …”
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“…OBJECTIVE: To examine the novel tau PET tracer RO948 F 18 ([(18)F]RO948) performance in discriminating Alzheimer disease (AD) from non-AD neurodegenerative disorders. …”
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“…Dynamic changes of SUVmax (Delta SUV) had a higher accuracy in discriminating long-responders from non-long-responders (AUC = 0.67, Delta SUV cut-off = 28.8%) respects to its ability to identify long survivors from no-long survivors (AUC = 0.60, Delta SUV cut-off = 53.8%). …”
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