Color Image Encryption using Chaotic Algorithm and 2D Sin-Cos Henon Map for High Security

In every form of electronic communication, data security must be an absolute top priority. As the prevalence of Internet and other forms of electronic communication continues to expand, so too does the need for visual content. There are numerous options for protecting transmitted data. It's important that the transmission of hidden messages in images remain unnoticed to avoid raising any red flags. In this paper, we propose a new deep learning-based image encryption algorithm for safe image retrieval. The proposed algorithm employs a deep artificial neural network model to extract features via sample training, allowing for more secure image network transmission. The algorithm is incorporated into a deep learning-based image retrieval process with Convolution Neural Networks(CNN), improving the efficiency of retrieval while also guaranteeing the security of ciphertext images. Experiments conducted on five different datasets demonstrate that the proposed algorithm vastly improves retrieval efficiency and strengthens data security. Also hypothesised a 2D Sin-Cos-Henon (2D-SCH)-based encryption algorithm for highly secure colour images. We demonstrate that this algorithm is secure against a variety of attacks and that it can encrypt all three colour channels of an image simultaneously

Social influence of adult children on parental health behavior among South Asian immigrants: findings from the MASALA (Mediators of Atherosclerosis in South Asians Living in America) study

Objectives: Examine the social influence of adult children on the cardiovascular-related health behaviors of older South Asian (SA) immigrants to inform lifestyle interventions.Design: This mixed-methods study used data from an ancillary study of social networks (2014-2018) in the Mediators of Atherosclerosis in South Asians Living in America cohort. Phase 1 was a quantitative analysis of self-reported diet and physical activity among SA adults (n = 448, mean age = 58 years, SD 8.4) who named at least one adult child to their social network. The Alternative Healthy Eating Index (AHEI) was used to measure parents' diet; higher numbers indicate a healthier diet (range 0-110). Phase 2 was a thematic content analysis of in-depth qualitative interviews from a subsample of these parents (n = 23, mean age = 55, SD 7.6).Results: Parents with an adult child in their network who consumed uncooked vegetables daily had mean parental AHEI score 1.5 points higher (adjusted p-value = 0.03) than those who had a child in the network who ate uncooked vegetables less often. When at least one adult child in their network ate fresh fruit daily compared to less frequently or when at least one child ate non-SA food daily compared to less frequently, mean parental AHEI scores were higher by 2.0 (adjusted p-value = 0.01) and 1.6 (adjusted p-value = 0.03) points respectively. Parents with an adult child in their network who exercised at least weekly were more likely to meet guideline-recommended physical activity levels than parents with children who exercised less often (76% v. 56%, adjusted p-value = 0.02). Adult children provided social support and were seen as 'role models' for healthy behavior, especially when adopting Western health behaviors.Conclusion: Positive role modeling and support from adult children were important facilitators of healthy behavior change in older SA immigrants and can inform health behavior interventions for SA adults

The Prosigna gene expression assay and responsiveness to adjuvant cyclophosphamide-based chemotherapy in premenopausal high-risk patients with breast cancer

Background: The PAM50-based (Prosigna) risk of recurrence (ROR) score and intrinsic subtypes are prognostic for women with high-risk breast cancer. We investigate the predictive ability of Prosigna regarding the effectiveness of cyclophosphamide-based adjuvant chemotherapy in premenopausal patients with high-risk breast cancer. Methods: Prosigna assays were performed on the NanoString platform in tumors from participants in Danish Breast Cancer Group (DBCG) 77B, a four-arm trial that randomized premenopausal women with high-risk early breast cancer to no systemic treatment, levamisole, oral cyclophosphamide (C) or cyclophosphamide, methotrexate and fluorouracil (CMF). Results: In total, this retrospective analysis included 460 women (40% of the 1146 randomized patients). The continuous Prosigna ROR score was prognostic in the no systemic treatment group (unadjusted P < 0.001 for disease-free survival (DFS), P = 0.001 for overall survival (OS)). No statistically significant interaction of continuous ROR score and treatment on DFS and OS was found. A highly significant association was observed between intrinsic subtypes and C/CMF treatment for DFS (Pinteraction = 0.003 unadjusted, P = 0.001 adjusted) and OS (Pinteraction = 0.04). In the adjusted analysis treatment with C/CMF was associated with a reduced risk of DFS events in patients with basal-like (hazard ratio (HR) 0.14; 95% CI 0.06; 0.32) and luminal B (HR 0.48; 95% CI 0.27; 0.84) subtypes but not in patients with Human epidermal growth factor receptor-enriched (HR 1.05; 95% CI 0.56; 1.95) or luminal A (HR 0.61; 95% CI 0.32; 1.16) subtypes. Conclusion: The Prosigna ROR score and intrinsic subtypes were prognostic in high-risk premenopausal patients with breast cancer, and intrinsic subtypes identify high-risk patients with or without major benefit from adjuvant C/CMF treatment.Medicine, Faculty ofNon UBCPathology and Laboratory Medicine, Department ofReviewedFacult

Additional file 1: of The Prosigna gene expression assay and responsiveness to adjuvant cyclophosphamide-based chemotherapy in premenopausal high-risk patients with breast cancer

Figure S1. Consort flow diagram. (PDF 234 kb