Effect of chronic ego depletion and mental effort on behavioral performance.

<p>Interaction of chronic ego depletion and daily mental effort in predicting the daily behavioral performance of individuals with at least 1 standard deviation above and below the mean on the SRF-S (1,491 daily assessments nested within 71 individuals). Low effort represents scores 1 standard deviation below the mean on the mental effort measure; average represents scores within 1 standard deviation of the mean; and high represents scores 1 standard deviation above the mean.</p

Options and Operational Standards of Behavior Targets.

<p>^a An operational standard was established for each behavior target only to keep this study reliable and repeatable. Although these operational standards are based on our previous national survey about lifestyles, they are still insufficient as international standards for healthy lifestyle.</p><p>Options and Operational Standards of Behavior Targets.</p

Correlations among the Measures of Chronic Ego Depletion, Life Events, Performance, Effort, and Motivation.

<p>Note.</p><p>* <i>p</i> < .05,</p><p>** <i>p</i> < .01,</p><p>*** <i>p</i> < .001.</p><p>Correlations among the Measures of Chronic Ego Depletion, Life Events, Performance, Effort, and Motivation.</p

Example of copepods extracted with different sizes and orientations using the computer from the semi-automated procedure.

<p>Note the cropped images were denoised and then classified by the classifier.</p

An example of image comparing visual counts and results from computer-based procedure.

<p><b>A)</b> A raw image contains copepods showing copepods in focus indicated by red boxes and out of focus indicated by yellow boxes. <b>B)</b> The same image processed by the computer-based procedure with red boxes indicating segmented objects and resulting copepods were numbered.</p

Examples of model species and construction of feature descriptor.

<p><b>A</b>—<b>C</b>: Examples of segmented arrow-like, copepod-like, and gelatinous zooplankton, <b>D</b>—<b>E</b>: standardized (250 by 250 pixels) denoised cropped images, and <b>F</b>—<b>H</b>: Histogram of Oriented Gradients feature descriptors for three categories.</p

A schematic flow chart showing the proposed image processing procedure.

<p>A schematic flow chart showing the proposed image processing procedure.</p

A Semi-Automated Image Analysis Procedure for <i>In Situ - Fig 2 </i> Plankton Imaging Systems

<p>An example of a raw image collected by the ZOOplankton VISualization (ZOOVIS) system in Chesapeake Bay, and results from various thresholding approaches: A ZOOVIS image showing a hydromedusa, copepods and other particulates. <b>B</b> Binary image from the global threshold approach showing the amount of segmented objects, <b>C</b> Binary image from Maximally Stable Extremal Regions (MSER) approach showing hydromedusa and other large particulates, <b>D</b> Binary image from the customized adaptive thresholding approach showing copepods and other small particulates, and <b>E</b> Final combined binary image with red boxes showing the segmented objects.</p

Quantification of SIF.

<p>(<b>A</b>).The UV-visible spectrum of soy isoflavone. (<b>B</b>).The standard curve between the absorbance and SIF concentration. Three different batches microspheres were calculated as the formula described in methods. Data are expressed as the mean ± SD. </p

Morphology Characterization of SIF/CHI Microspheres.

<p>(<b>A</b>-<b>C</b>). The surface morphology of microspheres prepared from optimized (A) or unoptimized (B) formulation was investigated by stereo-microscope and by fluoroscopy (C) using FITC-labeled chi-tosan. (<b>D</b>). The diameter distribution curve of SIF/CHI microspheres. </p