Relationship between the ¹³⁷Cs inventory in the soil and the dose rate on the soil surface.

Relationship between the 137Cs inventory in the soil and the dose rate on the soil surface.</p

¹³⁷Cs activity concentrations in <i>Aralia elata</i> buds collected in Iitate village, Fukushima from 2014 to 2022.

The blue horizontal line indicates the Japanese reference level for foods (100 Bq/kg). Data were retrieved from Iitate village (2022) [11]. 137Cs activity concentrations below the detection limits were regarded as 5 Bq/kg. Reported ratios of 134Cs to 137Cs outside the range of 0.8–1.2 on 11 March 2011 were excluded to ensure reliability.</p

The raw data of ¹³⁷Cs activity concentrations in <i>Aralia elata</i> buds and environmental variables analyzed in Sakai et al. Exploring simple ways to avoid collecting highly ¹³⁷Cs-contaminaed <i>Aralia elata</i> buds for the revival of local wild vegetable cultures.

The raw data of 137Cs activity concentrations in Aralia elata buds and environmental variables analyzed in Sakai et al. Exploring simple ways to avoid collecting highly 137Cs-contaminaed Aralia elata buds for the revival of local wild vegetable cultures.</p

Fig 2 -

Relationships between 137Cs activity concentrations in A. elata buds and (a) the dose rate at the soil surface, (b) organic soil layer thickness, and (c) slope steepness. The blue horizontal lines indicate the Japanese reference level for food (100 Bq/kg). Regression lines were generated based on the results of the full linear mixed model. Explanatory variables other than those shown on the x axis were fixed at their mean values. Shaded bands indicate 95% confidence intervals.</p

Fig 3 -

Relationship between137Cs activity concentrations in A. elata buds and137Cs depositions at the decontaminated (light blue) and abandoned (pink) sites. The blue horizontal line indicated the Japanese reference level for food (100 Bq/kg).</p

Results of the linear mixed model used to test for effects of the dose rate at the soil surface, organic soil layer thickness, and slope steepness on the ¹³⁷Cs activity concentrations in <i>Aralia elata</i> buds.

Bold characters indicate statistical significance.</p

Survival in Patients with Appendiceal Carcinoma by the Log-Rank Test (n = 108).

a<p>pap, papillary adenocarcinoma; well, well differentiated adenocarcinoma; mod, moderately differentiated adenocarcinoma; por, poorly differentiated adenocarcinoma; sig, signet-ring cell carcinoma; muc, mucinous carcinoma.</p>b<p>m, mucosa; sm, submucosa; mp, muscularis propria; ss, subserosa, se, serosa; si, invasion to other organ.</p>c<p>27 cases without lymph node dissection were excluded.</p>d<p>3 cases with unknown details regarding curative or non-curative resection were excluded.</p><p>Survival in Patients with Appendiceal Carcinoma by the Log-Rank Test (n = 108).</p

In appendiceal carcinoma cells (A, D, G, J, M, P and S), MUC1 showed membrane expression (B and C); MUC2 showed supranuclear expression (E and F); MUC4 (H and I), MUC5AC (K and L) and MUC6 (N and O) showed cytoplasmic expression; MUC16 showed membrane expression (Q and R); and MUC17 (T and U) showed supranuclear expression. HE, hematoxylin and eosin stain; IHC, immunohistochemical stain.

<p>In appendiceal carcinoma cells (A, D, G, J, M, P and S), MUC1 showed membrane expression (B and C); MUC2 showed supranuclear expression (E and F); MUC4 (H and I), MUC5AC (K and L) and MUC6 (N and O) showed cytoplasmic expression; MUC16 showed membrane expression (Q and R); and MUC17 (T and U) showed supranuclear expression. HE, hematoxylin and eosin stain; IHC, immunohistochemical stain.</p

Correlation between mucin expression and the cumulative survival rate.

<p>In the study of the correlation between mucin expression and the cumulative survival rate in patients with appendiceal carcinoma using the Kaplan-Meier method, the survival rate of patients with a positive expression of MUC3 were poorer than those of patients with negative expression of MUC3 (p = 0.004).</p

Multivariate Analysis of Prognostic Factors.

<p>Multivariate Analysis of Prognostic Factors.</p