Tuberculosis (TB) disproportionately affects immigrants and refugees to the United States. Upon arrival to the US, many of these individuals attend adult education centers, but little is known about how to deliver TB health information at these venues. Therefore, a participatory approach was used to design and evaluate a tuberculosis education video in this setting. Focus groups data were used to inform the content of the video that was produced and delivered by adult learners and their teachers. The video was evaluated by learners for acceptability through 3 items with a 3-point Likert scale. Knowledge (4 items) and self-efficacy (2 items) about TB were evaluated before and after viewing the video. A total of 159 learners (94%) rated the video as highly acceptable. Knowledge about TB improved after viewing the video (56% correct vs. 82% correct; p=<0.001), as did TB-related self-efficacy (77% vs. 90%; p=<0.001). Adult education centers that serve large immigrant and refugee populations may be excellent venues for health education, and a video may be an effective tool to educate these populations. Furthermore, a participatory approach in designing health education materials may enhance the efficacy of these tools.

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Multiple sclerosis (MS) is a complex neurological disease that affects the central nervous system (CNS) resulting in debilitating neuropathology. Pathogenesis is primarily defined by CNS inflammation and demyelination of nerve axons. Methionine synthase reductase (MTRR) is an enzyme that catalyzes the remethylation of homocysteine (Hcy) to methionine via cobalamin and folate dependant reactions. Cobalamin acts as an intermediate methyl carrier between methylenetetrahydrofolate reductase (MTHFR) and Hcy. MTRR plays a critical role in maintaining cobalamin in an active form and is consequently an important determinant of total plasma Hcy (pHcy) concentrations. Elevated intracellular pHcy levels have been suggested to play a role in CNS dysfunction, neurodegenerative, and cerebrovascular diseases. Our investigation entailed the genotyping of a cohort of 140 cases and matched controls for MTRR and MTHFR, by restriction length polymorphism (RFLP) techniques. Two polymorphisms: MTRR A66G and MTHFR A1298C were investigated in an Australian age and gender matched case-control study. No significant allelic frequency difference was observed between cases and controls at the α = 0.05 level (MTRR χ 2 = 0.005, P = 0.95, MTHFR χ 2 = 1.15, P = 0.28). Our preliminary findings suggest no association between the MTRR A66G and MTHFR A1298C polymorphisms and MS.

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Object geo-localization from images is crucial to many applications such as land surveying, self-driving, and asset management. Current visual object geo-localization algorithms suffer from hardware limitations and impractical assumptions limiting their usability in real-world applications. Most of the current methods assume object sparsity, the presence of objects in at least two frames, and most importantly they only support a single class of objects. In this paper, we present a novel two-stage technique that detects and geo-localizes dense, multi-class objects such as traffic signs from street videos. Our algorithm is able to handle low frame rate inputs in which objects might be missing in one or more frames. We propose a detector that is not only able to detect objects in images, but also predicts a positional offset for each object relative to the camera GPS location. We also propose a novel tracker algorithm that is able to track a large number of multi-class objects. Many current geo-localization datasets require specialized hardware, suffer from idealized assumptions not representative of reality, and are often not publicly available. In this paper, we propose a public dataset called ARTSv2, which is an extension of ARTS dataset that covers a diverse set of roads in widely varying environments to ensure it is representative of real-world scenarios. Our dataset will both support future research and provide a crucial benchmark for the field.