This technique could be applied to questions in social gerontology related to how social media outlets reflect and shape attitudes bearing on other developmental outcomes. Recommendations for the collection and analysis of large Twitter datasets are discussed.
Abstract. This paper presents a complete modeling system that extracts complex building structures with irregular shapes and surfaces. Our modeling approach is based on the use of airborne LiDAR which offers a fast and effective way to acquire models for a large urban environment. To verify and refine the reconstructed ragged model, we present a primitive-based model refinement approach that requires minor user assistance. Given the limited user input, the system automatically segments the building boundary, does the model refinement, and assembles the complete building model. By adapting a set of appropriate geometric primitives and fitting strategies, the system can model a range of complex buildings with irregular shapes. We demonstrate this system's ability to model a variety of complex buildings rapidly and accurately from LiDAR data of the entire USC campus.
Multiple Sclerosis (MS), Myalgic Encephalomyelitis (ME), and Chronic Fatigue syndrome are debilitating chronic illnesses, with some overlapping symptoms. However, few studies have compared and contrasted symptom and disability profiles for these illnesses for the purpose of further differentiating them. The current study was an online self-report survey that compared symptoms from a sample of individuals with MS (N = 120) with a sample of individuals with ME or CFS (N = 269). Respondents completed the self-report DePaul Symptom Questionnaire. Those individuals with ME or CFS reported significantly more functional limitations and significantly more severe symptoms than those with MS. The implications of these findings are discussed.
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