RFID Based Smart Shopping Trolley with PCB Design

Shopping is captivating and addictive, but standing in never-ending billing queues is a tiring process. Even though various online shopping platforms are growing, retail shopping has never stepped back. To ease the shopping process and eliminate lengthy billing queues, a new product has to be introduced with the appropriate use of technology. This paper summarizes a Radio Frequency Identification based smart shopping trolley that provides automatic billing and customer satisfaction. The RFID tags on the products are read by the reader present on the shopping cart. The display screen present in the cart provides the cost information and gives the final billing amount. This is then sent to the cashier`s database using Wi-Fi module and hence saves the customer's time. This entire model is designed on the PCB and simulated

RFID Based Smart Shopping Trolley with PCB Design

Shopping is captivating and addictive, but standing in never-ending billing queues is a tiring process. Even though various online shopping platforms are growing, retail shopping has never stepped back. To ease the shopping process and eliminate lengthy billing queues, a new product has to be introduced with the appropriate use of technology. This paper summarizes a Radio Frequency Identification-based smart shopping trolley that provides automatic billing and customer satisfaction. The RFID tags on the products are read by the reader present on the shopping cart. The display screen present in the cart provides the cost information and gives the final billing amount. This is then sent to the cashier`s database using a Wi-Fi module and hence saves the customer's time. This entire model is designed on the PCB and simulated

Exact eigenvalue order statistics for the reduced density matrix of a bipartite system

We consider the reduced density matrix $\rho_{A}^{(m)}$ of a bipartite system $AB$ of dimensionality $mn$ in a Gaussian ensemble of random, complex pure states of the composite system. For a given dimensionality $m$ of the subsystem $A$, the eigenvalues $\lambda_{1}^{(m)},\ldots, \lambda_{m}^{(m)}$ of $\rho_{A}^{(m)}$ are correlated random variables because their sum equals unity. The following quantities are known, among others: The joint probability density function (PDF) of the eigenvalues $\lambda_{1}^{(m)},\ldots, \lambda_{m}^{(m)}$ of $\rho_{A}^{(m)}$, the PDFs of the smallest eigenvalue $\lambda_{\rm min}^{(m)}$ and the largest eigenvalue $\lambda_{\rm max}^{(m)}$, and the family of average values $\langle \mathrm{Tr}\big(\rho_{A}^{(m)}\big)^{q}\rangle$ parametrised by $q$. Using values of $m$ running from $2$ to $6$ for definiteness, we show that these inputs suffice to identify and characterise the eigenvalue order statistics, i.e., to obtain explicit analytic expressions for the PDFs of each of the $m$ eigenvalues arranged in ascending order from the smallest to the largest one. When $m = n$ (respectively, $m < n$) these PDFs are polynomials of order $m^{2}-2$ (respectively, $mn - 2$) with support in specific sub-intervals of the unit interval, demarcated by appropriate unit step functions. Our exact results are fully corroborated by numerically generated histograms of the ordered set of eigenvalues corresponding to ensembles of over $10^{5}$ random complex pure states of the bipartite system. Finally, we present the general solution for arbitrary values of the subsystem dimensions $m$ and $n$, namely, formal exact expressions for the PDFs of every ordered eigenvalue.Comment: 20 pages, 5 figure

A monoclonal antibody against annexin A2 targets stem and progenitor cell fractions in tumors.

The involvement of cancer stem cells (CSCs) in driving tumor dormancy and drug resistance is well established. Most therapeutic regimens however are ineffective in targeting these regenerative populations. We report the development and evaluation of a monoclonal antibody, mAb150, which targets the metastasis associated antigen, Annexin A2 (AnxA2) through recognition of a N-terminal epitope. Treatment with mAb150 potentiated re-entry of CSCs into the cell cycle that perturbed tumor dormancy and facilitated targeting of CSCs as was validated by in vitro and in vivo assays. Epigenetic potentiation further improved mAb150 efficacy in achieving total tumor regression by targeting regenerative populations to achieve tumor regression, specifically in high-grade serous ovarian adenocarcinoma