Unveiling the Online-Offline Divide: Predicting Retail Channel Membership for Luxury Jewelry Consumers Using Discriminant Analysis

The study explores the factors that influence consumers to choose between online and offline channels for purchasing products and services. Using a quantitative approach, data was collected from 352 respondents through a survey and analyzed using discriminant analysis. The study found that consumers tend to purchase products online for self- gratification, better offers, relative price, variety of products, product information, and better price comparison. On the other hand, consumers choose offline channels for quality, reliable information, quality of judgment, and better after-sales services. The papers implications extend to marketing practitioners, specifically in luxury product marketing for segmentation, targeting, and positioning

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment