Patent relating to the use of microwaves to crosslink carbon nanotubes.

This poster illustrates how understanding the complex relationship between stigma and high risk behaviors in the lives of HIV+ individuals is important for developing community interventions to reduce risky sexual behavior.

This article shows that small hairpin RNA-mediated suppresion of NAF-1 results in the activation of apoptosis in epithelial breast cancer cells and xenograft tumors.

This book chapter discusses the electrochemical synthesis of lanthanum, cerium, and praseodymium oxides.

This article presents the correct computation methodology for determining solute descriptors from experimental solubility data.

This article uses experiments and finite element analyses to study the structural responses and energy dissipation capacities of three different outriggers of an actual tall building project.

This article provides evidence for the valid use of the Torrance Tests of Creative Thinking (TTCT) in sub-Saharan Africa.

Presentation for the 2017 Symposium on Developing Infrastructure for Computational Resources on South Asian Languages. This presentation discusses user-centered design for language archives.

This article presents a study that aims to identify strategies for using video-based social media to combat stigmatized diseases, such as mental health, among college students. The authors identify effective strategies for designing video-based social media content for supporting college students’ mental health. Results show that the videos where individuals share their personal stories, as well as experiential knowledge (ie, tips and advice), engaged more viewers in both the short term and long term. Individuals’ videos on YouTube showed the potential to support college students' mental health in unique ways, such as providing social support, validating experience, and sharing the positive experience of help-seeking.

Authors discuss their use of a distributed and decentralized architecture to store the statistics, perform double hashing, and implement access control through smart contracts to forecast groundwater availability. Their work demonstrates a modern and innovative approach combining Distributed Data Storage and Blockchain technologies to overcome traditional data sharing, and centralized storage, while addressing blockchain limitations.

Article provides a general reweighting framework based on anisotropic diffusion maps for manifold learning that takes into account that the learning data set is sampled from a biased probability distribution. The authors show that their proposed framework can be used in many manifold learning techniques on data from both standard and enhanced sampling simulations.