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Figure 1. Response curves for percent acetyl-coenzyme A in Detecting the effect of ACCase-targeting herbicides on ACCase activity utilizing a malachite green colorimetric functional assay

Figure 1. Response curves for percent acetyl-coenzyme A carboxylase (ACCase) activities of resistant and susceptible Digitaria ciliaris biotypes in response to the increasing concentrations of the ACCase-targeting herbicides, sethoxydim, clethodim,fluazifop-p-butyl, and pinoxaden.The response was modeled based on the log rate of ACCase-targeting herbicides to create equal spacing between rates using least-squares fit regression of ACCase activity to the non-treated check. Means are represented by differing symbols for each biotype, and regression equation models are represented by differing line types for each biotype. Vertical bars represent the standard errors of the means (n = 6). Digitaria ciliaris biotypes: R1 and R2, resistant; S, susceptible. The concentration of ACCase-targeting herbicides required to cause 50% inhibition of ACCase activity (IC50) was calculated from concentration-response curves. CI, confidence interval.

Fig. 7 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea

Fig. 7. Simulated and observed values of Borges et al.'s (Borges et al. 2019) δ values for simulated trait distributions on the tree in Fig. 1 for sets of traits (A, m1: m2 length; B, M1: M2 length; C, M2: M3 length) that show phylogenetic signal (red triangles) and phylogenetic retention (gray circles).

Fig. 2 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea

Fig. 2. Illustration of measurements taken on lower (m1–m3, A–C) and upper (M1–M3, D–F) teeth in occlusal views to calculate potentially diagnostic traits. Measurements are illustrated on specimen UMZC H5101A, Procavia capensis. Abbreviations: LE, length; MW, width of the crown at metaloph; PW width of the crown at paraloph.

Fig. 6 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea

Fig. 6. Overlap in potentially diagnostic trait values for upper molar loci of three example hyracoid taxa (A1, B1, Procavia capensis; A2, B2, Saghatherium bowni; A3, B3, Thyrohyrax meyeri). A. Length vs. proportional frequency, showing how a single trait, length, would be modeled in a univariate discriminant analysis using observed means and variances. Colored sections of the distributions show length values that are within 95% confidence intervals of the means of more than one tooth locus, indicating regions of ambiguous lengths. B. Length vs. relative width, showing scatter plots overlaid on 2D density diagrams showing the distribution of values for individual teeth.

Fig. 8 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea

Fig. 8. Overlap in potentially diagnostic trait values for a case study of isolated molars of Meroehyrax kyongoi. In contrast to Fig. 4, molar locus identifications are based on occupation of space in this scatterplot. Question marks are overlaid over two specimens whose inferred tooth position conflicts with published diagnoses. In parentheses original identification in publication.

Fig. 1 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea

Fig. 1. Phylogenetic tree and tooth size distribution in hyracoids (topology from Cooper et al. 2014). Taxa are time-scaled along the x-axis of the tree to reflect fossil occurrences based on the literature, with branches rescaled between these tip dates and a root age estimated at 70.1 million years. Taxa in bold text were included in analyses. Minimum monophyletic clade including taxa in bold indicates the range of the phylogenetic bracket applied for both length and width measures (base of clade indicated by black star). Minimum monophyletic clade for length measures from the literature is indicated by a white star at the base of the clade. Shapes to the right of tips indicate whether there is a significant fit with a model of ascending (increasing) tooth size down the molar row. Abbreviations: M, upper molars; m, lower molars.

Fig. 3 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea

Fig. 3. Distribution of values for a set of univariate, potentially locus-diagnostic traits (A, length vs. m1 length; B, trigonid width vs. talonic width) described in Fig. 2 in lower molars of a range of hyracoid species.

Fig. 5 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea

Fig. 5. Distribution of values for a set of univariate, potentially locus-diagnostic traits (A, length vs. M1 length; B, paraloph vs. metaloph; C, metaloph vs. length; D, paraloph vs. length) described in Fig. 2 in upper molars of a range of hyracoid species.

Fig. 4 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea

Fig. 4. Overlap in potentially diagnostic trait values for lower molar loci of three example hyracoid taxa (A1, B1, Procavia capensis; A2, B2, Saghatherium bowni; A3, B3, Thyrohyrax domorictus). A. Length vs. proportional frequency, showing how a single trait, length, would be modeled in a univariate discriminant analysis using observed means and variances. Colored sections of the distributions show length values that are within 95% confidence intervals of the means of more than one tooth locus, indicating regions of ambiguous lengths. B. Length vs. relative width, showing scatter plots overlaid on 2D density diagrams showing the distribution of values for individual teeth.

Fig. 5. A in Morphometric Analysis And Interrelationship Of Seven Indonesian Hornbill Species (Aves, Bucerotidae) Utilizing Principal Component And Cluster Analysis

Fig. 5. A dendrogram illustrating the relationships among the seven Indonesian hornbill species based on 14 morphometric characters, constructed using the Average Linkage model. Legend: Aa = Anthracoceros albirostris, Am = Anthracoceros malayanus, Ru = Rhyticeros undulatus, Rp = Rhyticeros plicatus, Ac = Aceros cassidix, Br = Buceros rhinoceros, dan Bb = Buceros bicornis.

Fig. 1 in Morphometric Analysis And Interrelationship Of Seven Indonesian Hornbill Species (Aves, Bucerotidae) Utilizing Principal Component And Cluster Analysis

Fig. 1. Hornbill genus grouping based on a combination of body length characters (PC1) and beak characters (PC3): A — genus Rhyticeros; B — genus Buceros; C — genus Anthracoceros.

Fig. 3 in Morphometric Analysis And Interrelationship Of Seven Indonesian Hornbill Species (Aves, Bucerotidae) Utilizing Principal Component And Cluster Analysis

Fig. 3. The combination of tail length and head length of two hornbill species within the genus Anthracoceros.

Fig. 4 in Morphometric Analysis And Interrelationship Of Seven Indonesian Hornbill Species (Aves, Bucerotidae) Utilizing Principal Component And Cluster Analysis

Fig. 4. The combination of head length and tail length of three hornbill species within the genus Rhyticeros.

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Fig 2 in Growth performance, nutrient utilization and survival rate of Clarias gariepinus fed varied inclusion of processed Moringa oleifera diets

Fig 2: Biweekly growth performance of Clarias gariepinus fed 3% and 5% inclusion of Moringa Processed diets

Supplemental file for the manuscript "Utility of salivary cortisol and cortisone in the diagnostics of adrenal insufficiency"

<p>Supplemental file for the manuscript "Utility of salivary cortisol and cortisone in the diagnostics of adrenal insufficiency"</p>

opencc-zeroJun 2024View details →

Dataset: Invesco S&P SmallCap Utilities & Communication Services ETF (PSCU) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →

Dataset: Invesco Dorsey Wright Utilities Momentum ETF (PUI) Stock Performance

opencc-by-4.0Dec 2017View details →

Fig. 1 in The Dynamics Of Genetic Structure Of Round G O B Y N E O G O B I U S M E L A N O S T O M U S (Pa L L A S) Groupings In The Odessa Bay Of The Black Sea Utilizing Biochemical Marker Loci

Fig. 1. Frequencies of S-alleles by polymorphic locus Es2 in round goby groupings from different parts of the Odessa Bay. * – significant deviation of allele frequencies in round goby groupings from the south and the north part of the Odessa Bay (Р = 0,05); # – significant deviation of allele frequencies in round goby groupings in the south part of the Odessa Bay in 2015-2016 in comparison to 2013-2014 (Р = 0,05).

opencc-by-4.0Dec 2017View details →

Fig. 2 in The Dynamics Of Genetic Structure Of Round G O B Y N E O G O B I U S M E L A N O S T O M U S (Pa L L A S) Groupings In The Odessa Bay Of The Black Sea Utilizing Biochemical Marker Loci

Fig. 2. Frequencies of S-alleles by polymorphic locus of myogene 3 in round goby groupings from different parts of the Odessa Bay * – significant deviation of allele frequencies in round goby groupings from the south and the north part of the Odessa Bay in 2013 and 2014 (Р = 0,05); # – significant deviation of allele frequencies in round goby groupings from the south part of the Odessa Bay in 2013-2014 in comparison to 2015 (Р = 0,05).