Type CE2 disease in a 35-year-old Han male patient. by Mou Huang (300626)

“…Compression atelectasis of the right lung and a large amount of pleural effusion on the right side was observed. …”

Thyroid dysplasia in inbred C57BL/6NTac mice WT, HET or HOM for the LINE-1. by Wendy J. Bailey (14926392)

“…<p>(A-C) Representative light microscopic morphology of the thyroid follicular epithelial cells of B6NTac WT, HET and HOM at 12 wks of age. …”

Data Sheet 1_A novel model describing blood pressure profiles.pdf by Sabina Schlottau (21495782)

“…Exponential formulas were applied for the description of blood pressure curves (systolic and diastolic), which were used for a non-linear regression model in R.</p>Results<p>All six subjects showed a circadian pattern in systolic and diastolic blood pressure over a 14-day period. …”

Effect of alcohol and acetaldehyde on system β and System A activity in BeWo cells. by Sylvia Lui (519746)

“…<p>Na⁺-dependent ³H taurine uptake (system β activity) and Na⁺-dependent ¹⁴C-MeAIB uptake (system A activity) of BeWo cells over time. (a) system β activity and (b) system A activity, over 10, 20 and 30 minutes (Mean 23282±4809, SE = 2151, N = 6). …”

Modeling of the <i>in vitro</i> growth in <i>A.</i><i>fumigatus</i>. by Eleftheria Mavridou (365659)

“…<p>In the figure is depicted an example of model fit to a single isolate. The growth is characterized by five phases: the lag phase, where no OD-growth changes were observed; the 1st transition period, where the OD change rate increased; the log phase, where the OD change rate was maximal; and the 2nd transition period, where the OD change rate decreased to reach a stationary phase. …”

Computer simulation of the effects of protein stability on the evolution of the total fluorescence in a clonal population. by Guillaume Corre (234248)

“…Panels E and F represent the number of protein normalized by a hypothetical volume increasing linearly from 1 to 2 during the cell cycle (that is to say the mean fluorescence level). …”

Fig 2 - by Masaru Sakai (1669627)

Does the Mexican sugar-sweetened beverage tax have a signaling effect? ENSANUT 2016 by Cristina Álvarez-Sánchez (5675087)

“…</p><p>Results</p><p>Compared with adults not aware, adults who were aware of the SSB tax were more likely (<i>OR</i> = 1.30) to report a decrease in SSB consumption (<i>p</i> = .012). …”

Coast-wide larval networks. by Aaron Kornbluth (11001875)

Effects of Membrane Degradation due to Chlorine Exposure on the Removal of Neutral Organic Compounds by Reverse Osmosis for Potable Reuse by Carson Odell Lee (17810305)

“…Chlorine exposure periods up to 8370 ppm-h were examined. Rejection decreased as chlorine exposure increased, and the decrease was not linear. …”

Effect of the distance from the wind turbine on activity of the bat <i>Pipistrellus pipistrellus</i> windward (upwind; wind incidence angle 0°), leeward (downwind; 180°) and latera... by Camille Leroux (18470820)

Age-Related Macular Degeneration and Incident Stroke: A Systematic Review and Meta-Analysis by Antonio B. Fernandez (573228)

“…Meta-regression using a mixed linear model was used to understand potential heterogeneity amongst studies.…”

Image 2_A comparison of design algorithms for choosing the training population in genomic models.jpeg by Alexandra Stadler (20718002)

Image 8_A comparison of design algorithms for choosing the training population in genomic models.jpeg by Alexandra Stadler (20718002)

Image 7_A comparison of design algorithms for choosing the training population in genomic models.jpeg by Alexandra Stadler (20718002)

Image 3_A comparison of design algorithms for choosing the training population in genomic models.jpeg by Alexandra Stadler (20718002)

Image 10_A comparison of design algorithms for choosing the training population in genomic models.jpeg by Alexandra Stadler (20718002)

Trend surface models of 2005 district-level JE incidence as a function of temperature and precipitation. by Daniel E. Impoinvil (213005)

“…</p>†<p>All regression β coefficients represent a non-linear increase (or decrease when the coefficient value is negative) in JE incidence when there is a 1-unit increase in each respective predictor variable.…”

Image 4_A comparison of design algorithms for choosing the training population in genomic models.jpeg by Alexandra Stadler (20718002)

Image 6_A comparison of design algorithms for choosing the training population in genomic models.jpeg by Alexandra Stadler (20718002)