TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5^th and 95^th percentile change points are determined from 500 bootstrap replicate runs. Sensitive taxa change points derived from decreaser sum <i>z</i>- relative to increasing impervious cover (I.C.; %), specific conductivity (SpCond; μS cm^-1), total nitrogen (TN; μg L^-1), and total phosphorus (TP; μg L^-1).... by Brent J. Bellinger (21156150)

“…Sensitive taxa change points derived from decreaser sum <i>z</i>- relative to increasing impervious cover (I.C.; %), specific conductivity (SpCond; μS cm^-1), total nitrogen (TN; μg L^-1), and total phosphorus (TP; μg L^-1). …”

Model diagnostics for old death events. by Xin Zhang (35492)

“…For O₃ exposure, the highest risk was observed on the lag1-day of per 10 μg/m³ increase, with an ER of 1.073% (95% CI: 0.502% ~ 1.647%), and the largest cumulative effect occurred at a lag of 2 days with an ER of 1.113% (95%CI: 0.386% ~ 1.844%). …”

Model diagnostics for adult death events. by Xin Zhang (35492)

“…For O₃ exposure, the highest risk was observed on the lag1-day of per 10 μg/m³ increase, with an ER of 1.073% (95% CI: 0.502% ~ 1.647%), and the largest cumulative effect occurred at a lag of 2 days with an ER of 1.113% (95%CI: 0.386% ~ 1.844%). …”

Model diagnostics for child death events. by Xin Zhang (35492)

“…For O₃ exposure, the highest risk was observed on the lag1-day of per 10 μg/m³ increase, with an ER of 1.073% (95% CI: 0.502% ~ 1.647%), and the largest cumulative effect occurred at a lag of 2 days with an ER of 1.113% (95%CI: 0.386% ~ 1.844%). …”

Model diagnostics for all death events. by Xin Zhang (35492)

“…For O₃ exposure, the highest risk was observed on the lag1-day of per 10 μg/m³ increase, with an ER of 1.073% (95% CI: 0.502% ~ 1.647%), and the largest cumulative effect occurred at a lag of 2 days with an ER of 1.113% (95%CI: 0.386% ~ 1.844%). …”

Model diagnostics for female death events. by Xin Zhang (35492)

“…For O₃ exposure, the highest risk was observed on the lag1-day of per 10 μg/m³ increase, with an ER of 1.073% (95% CI: 0.502% ~ 1.647%), and the largest cumulative effect occurred at a lag of 2 days with an ER of 1.113% (95%CI: 0.386% ~ 1.844%). …”

Model diagnostics for male death events. by Xin Zhang (35492)

“…For O₃ exposure, the highest risk was observed on the lag1-day of per 10 μg/m³ increase, with an ER of 1.073% (95% CI: 0.502% ~ 1.647%), and the largest cumulative effect occurred at a lag of 2 days with an ER of 1.113% (95%CI: 0.386% ~ 1.844%). …”

Carbon (<i>δ</i>¹³C) and nitrogen (<i>δ</i>¹⁵N) isotope data from bone collagen from archaeological fauna and modern plants in the isthmus area, including Cos... by Ashley E. Sharpe (8681484)

Alcohol-related monthly crude rates for ages 15 and older between 2018 and 2024, stratified by gender and race. by Tony Wong (779773)

Behavior is best fit by models with independent attributes. by Aster Q. Perkins (22008260)

“…<b>(c)</b> Significance of each coefficient estimate, shown as −log of the <i>p</i>-value calculated from the <i>t</i>-statistic testing for a non-zero coefficient. …”

Neutrophil Superoxide anion production, Heat map for gene expression from neutrophils of CGD patients, and PCA plot for genome-wide gene expression. by Daniel R. Ambruso (12042605)

“…The cells are colored according to expression level relative to row (i.e., relative within gene). Genes that responded to IFN-γ with increased expression are at the bottom and those with decreased expression are at the top. …”

Predicted power production for future wind farms. by Ole Anders Nøst (14674925)

“…Wind farms with an area of about 1000 <i>km</i>² will produce 1 <i>Wm</i>⁻², and power densities will asymptotically approach a value of 0.78 0.58 <i>Wm</i>⁻² for increasing wind farm area. …”

Seasonal dynamics in mosquito emergence changes the adult mosquito age distribution. by Isaac J. Stopard (10151370)

“…For the seasonal setting the day selected was when the mosquitoes abundance was increasing or decreasing. In the main plots the thicker black line show the means abundance value from all the simulations. …”

Stable dosing regimes and linear stability analysis. by Tianyong Yao (22311889)

“…The thick purple line shows the mean over 24 hrs, and the shaded region indicates circadian variation. Equilibrium <i>eda</i>* decreases monotonically with increasing activity, reflecting convergence to lower steady states as drug effects decay.…”

The index for comparing HMMs. by Tianshu Li (1527088)

“…Different colors correspond to different values of <i>m</i>. <b>C:</b> Examples of sPHMM’s posterior decoding of the best test models (i.e., having the largest likelihood on the training set) trained with 5, 10, and 12 states on the MMPP dataset of panel A, compared with the true model (having 10 states; top panel).…”

Linear stability of the flow of a second order fluid past a wedge by Martina Cracco (19655263)

“…</p><p>'velProfiles' generates figures 2(a)-(f): Velocity profile and relative variation with respect to the Newtonian<br>profile for increasing and decreasing values of the parameter K; (a), (b) γ = 0 (flat plate); (c), (d) γ = 0.5<br>(flow past a wedge); (e), (f) γ = 1 (stagnation flow).…”

Figure 2 from Microbiome Landscape and Association with Response to Immune Checkpoint Inhibitors in Advanced Solid Tumors: A SCRUM-Japan MONSTAR-SCREEN Study by Kentaro Sawada (21430568)

“…<b>B,</b> α diversity based on the observed number of KO indices according to cancer type, which was based on the analysis of at least five specimens obtained from patients in cohort 1 (<i>n</i> = 817). <b>C,</b> Heatmaps depicting relative increases and decreases in bacterial species in patients with each cancer type compared with all patients as measured using 16S rRNA analysis and presented as ALDEx2 effect size. …”