PMC

Relationship between hot temperature and subarachnoid hemorrhage (SAH) hospital admissions in temperate and hot zones from 2004 to 2014. Relationships between cold temperature and SAH hospital admissions in temperate and hot zones from 2004 to 2014. (a) relationship between hot temperature and SAH in temperate zone; (b)relationship between hot temperature and SAH in hot zone; (c) relationship between cold temperature and SAH in temperate zone; (d) relationship between cold temperature and SAH in cold zone.

a. The proposed immune classification imposed on density plot showing distribution of lymphocyte percentage. The middle zone corresponds to the intermediate phenotype, red zone for immune hot and blue zone for immune cold. Black dash line shows the median. This classification was validated after applying small perturbations to the thresholds to reclassify regional immune phenotypes, illustrated as grey dash lines: no intermediate zone (i.e. hard median for separating hot and cold), standard deviation (SD)/2 above and below the median, SD/3 and SD/6. b. Forest plots to show repeated multivariate Cox regression tests for the number of immune cold regions using these new classifications (= 79 patients), after accounting for stage, total number of samples, upper quartile of clonal neoantigens determined for LUAD and LUSC individually, and other clinical parameters. Box plots showing difference in genomic distance for pairs of hot regions compared with pairs of cold regions for LUAD and LUSC separately (LUAD: = 45 hot pairs, 45 cold pairs for no intermediate zone; = 19 hot, 25 cold for SD/2; = 25 hot, 33 cold for SD/3; = 32 hot, 41 cold for SD/6. LUSC: = 32 hot pairs, 54 cold pairs for no intermediate zone; = 19 hot, 27 cold for SD/2; = 19 hot, 37 cold for SD/3; = 27 hot, 41 cold for SD/6.). c. Box plots showing significant difference in CD8⁺ RNA-seq signature using the Danaher method between regions of hot and cold phenotype across all classification schemes (= 219 for SD/4; 275 for no intermediate zone; 173 for SD/2; 204 for SD/3; 237 for SD/6). d. Distribution and difference of lymphocytic infiltration for LUAD versus LUSC regions in TRACERx (= 275 regions; 85 patients) as well as distribution for LUAD in LATTICe-A (= 4,324 samples; 970 patients). Horizontal lines in the distribution plots indicate mean values. For statistical comparisons among groups, a two-sided, non-parametric, unpaired, Wilcoxon signed-rank test was used, unless stated otherwise.

This graph represents the same information as in but with the data stratified by severity of injury (i.e., P1, P2, and P3). Due to the first 45 minutes “notional play” there were no P3 casualties in the hot zone at the beginning of the exercise. The first P2 casualty entered the cold zone after 1 hour (having walked unaided from the hot zone to the warm zone) and the first P1 casualty entered the cold zone after 2 hours. The final P1 casualty was removed from the hot zone after 2 hours 30 minutes and the final P2 casualty was removed from the hot zone after 3 hours 15 minutes. The four P3 casualties that were still in the warm zone at the end of the exercise were those with non-waterproof electronic prosthetic legs.

Predictions derived from the “hot zone” codes. a-c) Perceived intensity plotted against the firing rates evoked in SA1 (a), RA (b) and PC (c) fibers whose RFs are located in the “hot zone.” The strength and linearity of the relationship between the mean rate evoked in each population of afferents and perceived intensity reveals the degree to which the “hot zone” model is predictive of perceived intensity if only signals from a single population contribute to the perception of stimulus intensity. All three populations of fibers yield good fits when considered individually, but no one population accounts for all aspects of perceived intensity. d) Predictions derived from the multiple regression of perceived intensity on firing rates of afferents whose RFs are located in the “hot zone.” Note that predictions obtained from the total population response were similar to those derived from the “hot zone” hypothesis (R² was 0.97 for the “hot zone” model and 0.95 for the population model).