Text-to-Image (T2I) ReID has attracted a lot of attention in the recent past. CUHK-PEDES, RSTPReid and ICFG-PEDES are the three available benchmarks to evaluate T2I ReID methods. RSTPReid and ICFG-PEDES comprise of identities from MSMT17 but due to limited number of unique persons, the diversity is limited. On the other hand, CUHK-PEDES comprises of 13,003 identities but has relatively shorter text description on average. Further, these datasets are captured in a restricted environment with limited number of cameras. In order to further diversify the identities and provide dense captions, we propose a novel dataset called IIITD-20K. IIITD-20K comprises of 20,000 unique identities captured in the wild and provides a rich dataset for text-to-image ReID. With a minimum of 26 words for a description, each image is densely captioned. We further synthetically generate images and fine-grained captions using Stable-diffusion and BLIP models trained on our dataset. We perform elaborate experiments using state-of-art text-to-image ReID models and vision-language pre-trained models and present a comprehensive analysis of the dataset. Our experiments also reveal that synthetically generated data leads to a substantial performance improvement in both same dataset as well as cross dataset settings. Our dataset is available at https://bit.ly/3pkA3Rj.

Endothelial function was impaired in patients with CP compared with healthy patients, and the dysfunction observed was similar to that observed in the MI group based on FMD values.

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Links between periodontitis and atherosclerosis can be predicted based on inflammatory mechanisms initiated by bacteria associated with periodontal lesions, which then influence the initiation or propagation of the atherosclerotic lesion. This study aimed to detect the presence of three periodontal pathogens, in atheromatous plaques of patients with coronary artery disease. Subgingival and atherosclerotic plaque samples were obtained from 80 patients scheduled for CABG or angioplasty. A nested PCR was done for the detection of the pathogens in the plaque samples. Porphyromonas gingivalis, Tanarella forsythia , and Treponema denticola were detected in 10%, 12.5%, and 1.3% of the atherosclerotic plaque samples respectively. It was also observed that patients whose atherosclerotic plaques tested positive for one or more of the pathogens had chronic periodontitis.

Consider a multinomial population with k cells. Let Π^(θ),...,Π^(Θ) be the population proportions and ρ^,.,.,ρ^ be the sample proportions out of a sample of size n. We restrict our attention to the class of estimators Τ k n obtained as the solution of the equation: 0 = Σ. ξ (ρ /Π (Τ )) Π'(Τ ). We