A Fast and Interactive Augmented Reality System for PET/CT-guided Intervention of Neuroblastoma.

Neuroblastoma is the most common type of extracranial solid tumor in children and can often result in death if not treated. High-intensity focused ultrasound (HIFU) is a non-invasive technique for treating tissue that is deep within the body. It avoids the use of ionizing radiation, avoiding long-term side-effects of these treatments. The goal of this project was to develop the rendering component of an augmented reality (AR) system with potential applications for image-guided HIFU treatment of neuroblastoma. Our project focuses on taking 3D models of neuroblastoma lesions obtained from PET/CT and displaying them in our AR system in near real-time for use by physicians. We used volume ray casting with raster graphics as our preferred rendering method, as it allows for the real-time editing of our 3D radiologic data. Some unique features of our AR system include intuitive hand gestures and virtual user interfaces that allow the user to interact with the rendered data and process PET/CT images for optimal visualization. We implemented the feature to set a custom transfer function, set custom intensity cutoff points, and region-of-interest extraction via cutting planes. In the future, we hope to incorporate this work as part of a complete system for focused ultrasound treatment by adding ultrasound simulation, visualization, and deformable registration.

Protein aggregates thermodynamically order regardless of sequence.

Proteins can aggregate into disordered aggregates or ordered assemblies such as amyloid fibrils. These two distinct phases serve differing roles in function and disease. How protein sequence determines the preferred phase is unknown. Here we establish a statistical mechanical disorder-to-order transition condition for compact polymer aggregates, including proteins. The theory produces a simple universal equation determining the favored phase as a function of temperature, polymer length, and interaction energy variance. We show that the sequence-dependent energy variance is efficiently calculated using atomistic simulations, so that the theory has no adjustable parameters. The equation accurately predicts experimental length-dependent crystallization temperatures of synthetic polymers. The equation also predicts that all protein sequences that aggregate will also favor ordering. Consequently, energy must be expended to maintain the steady-state disordered phase if it is not kinetically metastable on physiological timescales. More broadly, the theory suggests that aggregates of organic polymers will generally tend to order on habitable planets.

Designing effective partnerships for waste-to-resource initiatives: Lessons learned from developing countries.

Cities in developing countries across Asia-Pacific are struggling to effectively manage municipal solid waste (MSW). This is especially the case in secondary cities and small towns, which often face a lack of resources and know-how. Because the waste stream in these cities is usually high in organic content (50-80%) and recyclable materials (10-20%), waste-to-resource initiatives are viable options for sustainable MSW management. Waste-to-resource initiatives that are low-cost, low-tech, decentralised and community-based offer municipalities useful solutions for managing their MSW. However, the sustainability of such solutions depends on a number of key factors, such as the separation of waste at source, the effective engagement of communities and steady and predictable sources of revenue. Using quantitative data and qualitative information derived from field experience, this paper concludes that effective partnerships between a diverse range of stakeholders must be designed and fostered in order to achieve sustainability. The paper provides an analysis of stakeholder roles for the establishment of effective partnerships in four case study cities of Matale and Ratnapura (Sri Lanka) and Kon Tum and Quy Nhon (Viet Nam), where waste-to-resource facilities have been established, and explores the resources of stakeholders and how these can be mobilised to support waste-to-resource initiatives for revenue generation and long-term sustainability.