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An updated Fig 2 presenting the correct panel, along with the original data underlying Fig 2 (S1-S2 Files) are provided with this notice. The corresponding author stated that the underlying data for Fig 1 and Fig 3C-D are available from them. Colony assay data for Huh7 & HepG2 cells underlying graphs presented in Fig 2. Data are expressed as a percentage of colony in control cells and are the means ± standard deviation of two separate experiments, each of which was performed in duplicate. https://doi.org/10.1371/journal.pone.0335701.s002 (PDF) thumbnail Download: * PPT PowerPoint slide * PNG larger image * TIFF original image Fig 2.

Specifically, thumbnail Download: * PPT PowerPoint slide * PNG larger image * TIFF original image Fig 2. e-CSC are smaller in size and grow faster than l-CSC. (a) Image of cells in suspension used for cell size analysis. (b) Average cell size in µm of e-CSC (black) and l-CSC (red) when in suspension. (c) Average growth rate in hours taken for cell population to double during exponential growth phase; i.e., population doubling time (DT). e-CSC (black), l-CSC (red). (d) Cell expansion capacity over 1500 hours measured by average cumulative population doublings (Cumulative PD) of e-CSC (▴) and l-CSC (▾) when passaged at sub-confluence. (e) Cell kinetics measured by average cumulative population doublings of e-CSC (▴) and l-CSC (▾) when seeded at low density and grown beyond confluence for 288 hours. * P < 0.05; ** P < 0.01, Student’s t test, n = 3 different samples per cell group. S3b. https://doi.org/10.1371/journal.pone.0329484.g006 * When adjusting the color levels of the Fig 1a I-CSC panel, the background noise of the top of the panel does not appear to match the background noise of the bottom of the panel. * Repetitive elements are observed within the Fig 2a e-CSC and the Fig 2a I-CSC panels. * The top Fig 6b I-CSC TRA-1–60 panel of this article [1] appears similar to the Fig 2c AFSC Tra-1–60 panel of [2,3] despite representing results from different cell lines. Regarding the concerns in Figs 1a and 2a, the corresponding author commented that the Fig 1a I-CSC panel and the Fig 2a panels present composite images.

Analyses for this “early adolescence” group have been updated to include only those who accessed GAH during the younger adolescent age group outlined by the most recent Endocrine Society guidelines (i.e., ages 13–15) [2]. Raw outcome frequencies of mental health outcomes. https://doi.org/10.1371/journal.pone.0287283.t003 thumbnail Download: * PPT PowerPoint slide * PNG larger image * TIFF original image Table 4. [...]the analysis code underlying results in this article was not included with the published article.

With the dramatic increase in the number of images in recent years, more and more images are stored in the cloud space. Traditional image encryption only guarantees the confidentiality of the image without taking into account the availability of the image, which greatly weakens the convenience of cloud storage. Thumbnail-preserving encryption (TPE) is used to break this deadlock, which can take into account the availability and confidentiality of the image at the same time. However, the existing multi-pixel TPE scheme has poor temporal performance, and the 2-pixel TPE scheme requires multiple encryptions to ensure the confidentiality of the image. Due to the excellent properties of chaotic maps, in this paper, a 3-pixel thumbnail-preserving encryption algorithm based on exponential chaotic map is proposed by combining chaotic map with TPE scheme. The experimental results show that the proposed chaotic map has good chaotic properties, the TPE scheme has better temporal performance and higher security, which is somewhat competitiveness.

Advances in mobile communication have enabled images to be shared more conveniently, and the consequent risk of privacy breaches has been increasingly emphasized. Previously, traditional image encryption algorithms were mostly adopted by individuals to encrypt plain images into noise-like meaningless cipher images. This type of algorithm provides security for image privacy protection but is unable to achieve usability in cloud platforms. Furthermore, existing image encryption algorithms only target the protection of lossless compression or non-compressed formats images (e.g., BMP, PNG, etc.), but neglect the encryption needs of JPEG format images. Since the latter has the benefits of less file storage and excellent visual quality, it has been widely applied in a variety of scenarios. Thus, a thumbnail preserving encryption (TPE) scheme based on Markov model (TPE-MM) for JPEG images is proposed to equilibrate security and availability. Specifically, an approximate sum-preserving encryption method (ASP-EM) in restricted range based on its features is proposed to preserve the plain thumbnail features to accomplish cipher image usability. Subsequently, an adaptive encryption method based on Markov model (AEM-MM) was proposed to improve the encryption effect of cipher images and retain the compression performance of JPEG images. Simulation experiments show that the cipher image has good visual quality, low expansion rate, and is resistant to outline attacks.

Including single-authored papers in the analysis did not alter these conclusions. [...]the addition of the interaction of the effect of time changes the estimated parameters, but does not alter the conclusions about the significant and substantial effect of last author gender on the proportion of female authors. thumbnail Download: * PPT PowerPoint slide * PNG larger image * TIFF original image Table 2. In this model, last author gender (estimate = 82.2, p < 0.001), year (estimate = 0.04, p < 0.001), and their interaction (estimate = -0.04, p < 0.001) all affected the proportion of female authors. [...]although the model estimates of the effect of last author gender differ among the three models (original analysis, 109.7; interaction with year included, 49.7; weighted by number of authors, 82.2), all of these analyses indicate a significant effect of last author gender on the proportion of female authors, and a substantial effect size. [...]the authors restate from the original Methods that this study’s analysis focused on the proportion of all authors of each article as a data point representative of the gender balance of the entire research team, and not on the proportion of female authors of the article besides the last author. 1.

The correct Fig 1, created with the raw blot data and a black line to indicate the spliced lanes, is provided here. thumbnail Download: * PPT PowerPoint slide * PNG larger image * TIFF original image Fig 1. After insertion of a resistance cassette a 7.5 kb fragment is generated, after CRE-mediated excision a 14.6 kb fragment is formed indicating KO of a 1.6 kb fragment containing exon 11–14. (E) Western blot analysis for LEDGF protein of whole cell extracts.

(B) On a longer sequence of 200 trials, representative of a trial block of our experimental sequence (see Fig 1A), we show the actual events which are observed by the agent (TD), along with the (hidden) dynamics of the true probability bias Ptrue (blue line), the value inferred by a leaky integrator (Pleaky, orange line) and the results of the BBCP model in estimating the probability bias PBBCP (green line), along with .05 and .95 quantiles (shaded area). Note that in the BBCP, while it takes some trials to detect switches, they are in general correctly identified (transitions between diagonal lines) and that integration is thus faster than for the leaky integrator, as illustrated by the inferred value of the probability bias. https://doi.org/10.1371/journal.pcbi.1008385.g001 thumbnail Download: * PPT PowerPoint slide * PNG larger image * TIFF original image Fig 3. Bottom two rows display the raw behavioral results for the n = 12 observers, by showing their median (lines) and the .25 and .75 quantiles (shaded areas): First, we show the anticipatory pursuit eye velocity, as estimated right before the onset of the visually-driven pursuit.

The difference in mean dose between poorly and highly ventilated regions was statically significant (p = 0.0093; Student’s t-test). https://doi.org/10.1371/journal.pone.0225965.g001 thumbnail Download: * PPT PowerPoint slide * PNG larger image * TIFF original image Fig 2. The difference in V 20 between poorly and highly ventilated regions was statically significant (p = 0.0138; Student’s t-test). https://doi.org/10.1371/journal.pone.0225965.g002 thumbnail Download: * PPT PowerPoint slide * PNG larger image * TIFF original image Fig 3. The difference in V 5 between poorly and highly ventilated regions was statically significant (p = 0.0236; Student’s t-test). https://doi.org/10.1371/journal.pone.0225965.g003 thumbnail Download: * PPT PowerPoint slide * PNG larger image * TIFF original image Fig 4. (2018) Evaluation of lung toxicity risk with computed tomography ventilation image for thoracic cancer patients.

As science media content creators strive for inclusivity in communication design and promotion, they must consider the influence of audiences’ identities on their engagement with science media. A gender gap in viewership or \"missing audience\" has been identified for women viewers for educational science content on digital media; one such example of this is Deep Look , a science video series from KQED public media and PBS Digital Studios distributed on YouTube. This study used a mixed method design (1) to examine women’s preferences for Deep Look YouTube video promotions (i.e., episode titles and thumbnail images—the images that act as a preview for the video) to best inform future design of promotional content for these videos to attract more women viewers, and (2) to explore how women’s preferences for science content are linked to their social identities, science identity, and science curiosity. Findings indicated that women’s preferences for promotions for Deep Look YouTube science and nature videos followed expected trends with most women preferring images perceived as visually attractive and colorful more than images perceived as disgusting or gross. However, these preferences were conditional on science curiosity and science identity. Findings indicated that to boost women’s engagement with YouTube science and nature videos, content creators may find it useful to consider how science curious various women audiences are, how strongly women viewers identify with being a science person, and how their most salient social identities motivate engagement.