Modeling Hidden Nodes Collisions in Wireless Sensor Networks: Analysis Approach

This paper studied both types of collisions. In this paper, we show that advocated solutions for coping with hidden node collisions are unsuitable for sensor networks. We model both types of collisions and derive closed-form formula giving the probability of hidden and visible node collisions. To reduce these collisions, we propose two solutions. The first one based on tuning the carrier sense threshold saves a substantial amount of collisions by reducing the number of hidden nodes. The second one based on adjusting the contention window size is complementary to the first one. It reduces the probability of overlapping transmissions, which reduces both collisions due to hidden and visible nodes. We validate and evaluate the performance of these solutions through simulations

Additional file 2: Table S1. of An analysis of 97 previously diagnosed de novo adult acute erythroid leukemia patients following the 2016 revision to World Health Organization classification

The ratio of different cytogenetic risk category in different age group. The ratio of different cytogenetic risk category (intermediate and unfavorable risk) in <40, 40–60, >60 age group. (DOCX 12 kb

Additional file 1: Figure S1. of An analysis of 97 previously diagnosed de novo adult acute erythroid leukemia patients following the 2016 revision to World Health Organization classification

The 3-year OS of 97 previously diagnosed de novo adult AEL patients according to age group. The 3-year OS of <40, 40–60 and >60 age group. (TIFF 170 kb

Additional file 1: of Distinct genetic alteration profiles of acute myeloid leukemia between Caucasian and Eastern Asian population

This file contains Tables S1–S7, including Table S1. CBF ratios in European, American, and Eastern Asian cohorts; Table S2. NPM1 mutation ratios in European and our cohorts; Table S3. FLT3-ITD mutation ratios in European and our cohorts; Table S4. FLT3-ITD mutation ratios in older patients from Chinese cohort against European and American cohorts; Table S5. CBF leukemia ratios in older patients from Japanese and Chinese cohorts against European and American cohorts; Table S6. NPM1 mutation ratios in older patients from Chinese cohort against European and American cohorts; and Table S7. Outcomes in European, American, and Eastern Asian cohorts. (PDF 568 kb

The number of CD34+CD38+CD117+HLA-DR+CD13+CD33+ cells indicates post-chemotherapy hematopoietic recovery in patients with acute myeloid leukemia

<div><p>Hematopoietic recovery is considered to be associated with the number of multipotent hematopoietic stem cells in the bone marrow, as observed in functional assays involving stem cell transplantation. However, there is little evidence related to hematopoietic recovery in non-transplantation settings, which is accomplished by endogenous hematopoietic cells. A recent study suggested that progenitors are the main contributors during this steady-state hematopoiesis, which differs from exogenous transplantation. We hypothesized that endogenous progenitor support post-chemotherapy hematopoietic recovery. To investigate the potential impact of these progenitor cell percentage on hematopoietic recovery, we retrospectively analyzed the percentage of CD34+CD38+CD117+HLA-DR+CD13+CD33+ cells (P cells) and hematopoietic recovery in 223 newly diagnosed acute myeloid leukemia patients during two courses of consolidation chemotherapy after complete remission. We found that a lower P cell percentage was significantly associated with prolonged neutropenia recovery time after the first and second courses of consolidation chemotherapy (p = 0.001; p = 0.045, respectively). We also observed similar results with regard to platelet recovery time after the first course of consolidation chemotherapy (p = 0.000). Univariate analysis showed that P cell percentage and consolidation chemotherapy regimens, and not gender, age, induction chemotherapy regimens, infection grade, WHO classification and NCCN risk category, were associated with neutrophil recovery after chemotherapy. Multivariate analysis demonstrated that P cell percentage is an independent factor affecting neutrophil recovery capacity for both the first and second courses (p = 0.008; p = 0.032, respectively). Our results indicate that CD34+CD38+CD117+HLA-DR+CD13+CD33+ cells before each course of chemotherapy is independently associated with chemotherapy-related hematopoietic reconstitution capacity. These findings may help modify future chemotherapy regimens based on progenitor cell percentages.</p></div

Additional file 3: of An analysis of 97 previously diagnosed de novo adult acute erythroid leukemia patients following the 2016 revision to World Health Organization classification

Raw data. The clinical characteristic of 97 previously diagnosed de novo adult acute erythroid leukemia patients. The clinical characteristic of 97 previously diagnosed de novo adult acute erythroid leukemia patients were listed, including MDS/AML subtype, MRC cytogenetic risk, survival data, gene mutation and so on. (DOC 239 kb

Multivariate analysis for ANC recovery in consolidation one.

<p>Multivariate analysis for ANC recovery in consolidation one.</p

Chemotherapy-impaired hematopoietic recovery ability.

<p>Differences in bone marrow recovery capacity represented as time of neutropenia (A) and platelet recovery time (B) after the first and second course of chemotherapy.</p

Clinical characteristics of the 223 patients with AML.

<p>Clinical characteristics of the 223 patients with AML.</p

Univariate analysis for ANC recovery.

<p>Univariate analysis for ANC recovery.</p