Simulation-Files-for-Large-Scale-Model-for-Information-Dissemination-with-Device-to-Device: Pre-Release

<p>SIR model with Gillespie algorithm (Tau-leap method)</p

Enhancing Information Dissemination using Human Mobility in Realistic Environment

<p>Enhancing Information Dissemination using Human Mobility in Realistic Environment</p

Spreading process of mobile data through Ivory Coast using mobility data available during the 2013 D4D challenge

<p>Diffusion process using mobility data available during the 2013 D4D challenge</p

Enhancing Information Dissemination using Human Mobility in Realistic Environment

<p>Dissemination of information in mobile adhoc networks has lately picked up lot of interest. Some studies argue that the dissemination in these networks should be constraint while some argue that it should not. Research has found that it depends on the type of the application that is considered. For example, dissemination of mobile viruses should definitely be contained however, dissemination of emergency information should not. Towards this, we would like to propose a mechanism for enhancing dissemination of information in mobile adhoc environment. We use the concept of metapoulation model, epidemic model, beamforming and the mobility results obtained after the mining the dataset provided by the D4D Organizers. In this paper we first propose addition of three latent states to the existing SIR model and then add beamforming concepts. In this paper, we study the transient states to see the evolution of number of devices having the information and the difference in the number of devices having the information when compared with different cases considered in this paper. Our results show that enhancement can be considerably achieved in terms of number of devices having the information.</p

Enhancing Information Dissemination using Human Mobility in Realistic Environment

<p>Number of users in each cell over time determined from dataset available at D4D challenge.</p

Scalable Imprinting of Shape-Specific Polymeric Nanocarriers Using a Release Layer of Switchable Water Solubility

There is increasing interest in fabricating shape-specific polymeric nano- and microparticles for efficient delivery of drugs and imaging agents. The size and shape of these particles could significantly influence their transport properties and play an important role in <i>in vivo</i> biodistribution, targeting, and cellular uptake. Nanoimprint lithography methods, such as jet-and-flash imprint lithography (J-FIL), provide versatile top-down processes to fabricate shape-specific, biocompatible nanoscale hydrogels that can deliver therapeutic and diagnostic molecules in response to disease-specific cues. However, the key challenges in top-down fabrication of such nanocarriers are scalable imprinting with biological and biocompatible materials, ease of particle-surface modification using both aqueous and organic chemistry as well as simple yet biocompatible harvesting. Here we report that a biopolymer-based sacrificial release layer in combination with improved nanocarrier-material formulation can address these challenges. The sacrificial layer improves scalability and ease of imprint-surface modification due to its switchable solubility through simple ion exchange between monovalent and divalent cations. This process enables large-scale bionanoimprinting and efficient, one-step harvesting of hydrogel nanoparticles in both water- and organic-based imprint solutions