2,548 research outputs found

    Text2Action: Generative Adversarial Synthesis from Language to Action

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    In this paper, we propose a generative model which learns the relationship between language and human action in order to generate a human action sequence given a sentence describing human behavior. The proposed generative model is a generative adversarial network (GAN), which is based on the sequence to sequence (SEQ2SEQ) model. Using the proposed generative network, we can synthesize various actions for a robot or a virtual agent using a text encoder recurrent neural network (RNN) and an action decoder RNN. The proposed generative network is trained from 29,770 pairs of actions and sentence annotations extracted from MSR-Video-to-Text (MSR-VTT), a large-scale video dataset. We demonstrate that the network can generate human-like actions which can be transferred to a Baxter robot, such that the robot performs an action based on a provided sentence. Results show that the proposed generative network correctly models the relationship between language and action and can generate a diverse set of actions from the same sentence.Comment: 8 pages, 10 figure

    A Financial Assessment of Municipal Fiber in the U.S.

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    In the interest of bringing high-speed broadband access to communities underserved by current Internet service providers, many U.S. cities have initiated municipal broadband projects. Such efforts have received favorable attention from those eager to help close the digital divide. This brief presents a first look at a new, comprehensive empirical analysis of 20 U.S. municipal fiber builds for which financial data is available. The findings show that half of the projects in this study are cash-flow negative, and based on their performance from 2010-2014, 90 percent are unable to generate sufficient cash to recover their project costs within the 30-40 year life expectancy of a municipal fiber build. City leaders considering such projects, as well as state and federal officials interested in supporting them, need to understand the documented costs and risks before encouraging new municipal fiber programs to form.https://repository.upenn.edu/pennwhartonppi/1047/thumbnail.jp

    Municipal Fiber in the United States: A Financial Assessment

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    Despite growing interest in broadband provided by municipally owned and operated fiber-to-the-home networks, the academic literature has yet to undertake a systematic assessment of these projectsā€™ financial performance. To fill this gap, we utilize municipalitiesā€™ official reports to offer an empirical evaluation of the financial performance of every municipal fiber project in the U.S. operating in 2010 through 2019. An analysis of the actual performance of the resulting fifteen-project panel dataset reveals that none of the projects generated sufficient nominal cash flow in the short run to maintain solvency without infusions of additional cash from outside sources or debt relief. Similarly, 87% have not actually generated sufficient nominal cash flow to put them on track to achieve long-run solvency. In addition, 73% generated negative nominal cash flow over the past three fiscal years, leaving them poorly positioned to make up their deficits and causing them to fall farther into debt. An assessment based on the net present value of these projectsā€™ operating cash flow indicates that 53% of projects would not be on track to breakeven even assuming the theoretical best-case performance in terms of capital expenditures and debt service. Close analysis of these projectsā€™ performance reveals that revenue generation likely plays a more important role in generating cash flow than efficiency in construction costs or operating efficiency

    A pragmatic evidence-based clinical management algorithm for burning mouth syndrome

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    Burning mouth syndrome is a poorly understood disease process with no current standard of treatment. The goal of this article is to provide an evidence-based, practical, clinical algorithm as a guideline for the treatment of burning mouth syndrome. Using available evidence and clinical experience, a multi-step management algorithm was developed. A retrospective cohort study was then performed, following STROBE statement guidelines, comparing outcomes of patients who were managed using the algorithm and those who were managed without. Forty-seven patients were included in the study, with 21 (45%) managed using the algorithm and 26 (55%) managed without. The mean age overall was 60.4 Ā±16.5 years, and most patients (39, 83%) were female. Cohorts showed no statistical difference in age, sex, overall follow-up time, dysgeusia, geographic tongue, or psychiatric disorder; xerostomia, however, was significantly different, skewed toward the algorithm group. Significantly more non-algorithm patients did not continue care (69% vs. 29%, p=0.001). The odds ratio of not continuing care for the non-algorithm group compared to the algorithm group was 5.6 [1.6, 19.8]. Improvement in pain was significantly more likely in the algorithm group (p=0.001), with an odds ratio of 27.5 [3.1, 242.0]. We present a basic clinical management algorithm for burning mouth syndrome which may increase the likelihood of pain improvement and patient follow-up

    Gut-seeded Ī±-synuclein fibrils promote gut dysfunction and brain pathology specifically in aged mice

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    Parkinsonā€™s disease is a synucleinopathy that is characterized by motor dysfunction, death of midbrain dopaminergic neurons and accumulation of Ī±-synuclein (Ī±-Syn) aggregates. Evidence suggests that Ī±-Syn aggregation can originate in peripheral tissues and progress to the brain via autonomic fibers. We tested this by inoculating the duodenal wall of mice with Ī±-Syn preformed fibrils. Following inoculation, we observed gastrointestinal deficits and physiological changes to the enteric nervous system. Using the AAV-PHP.S capsid to target the lysosomal enzyme glucocerebrosidase for peripheral gene transfer, we found that Ī±-Syn pathology is reduced due to the increased expression of this protein. Lastly, inoculation of Ī±-Syn fibrils in aged mice, but not younger mice, resulted in progression of Ī±-Syn histopathology to the midbrain and subsequent motor defects. Our results characterize peripheral synucleinopathy in prodromal Parkinsonā€™s disease and explore cellular mechanisms for the gut-to-brain progression of Ī±-Syn pathology

    ELF3 controls thermoresponsive growth in Arabidopsis

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    Plant development is highly responsive to ambient temperature, and this trait has been linked to the ability of plants to adapt to climate change [1]. The mechanisms by which natural populations modulate their thermoresponsiveness are not known [2]. To address this, we surveyed Arabidopsis accessions for variation in thermal responsiveness of elongation growth and mapped the corresponding loci. We find that the transcriptional regulator EARLY FLOWERING3 (ELF3) controls elongation growth in response to temperature. Through a combination of modeling and experiments, we show that high temperature relieves the gating of growth at night, highlighting the importance of temperature-dependent repressors of growth. ELF3 gating of transcriptional targets responds rapidly and reversibly to changes in temperature. We show that the binding of ELF3 to target promoters is temperature dependent, suggesting a mechanism where temperature directly controls ELF3 activity

    Burst mitofusin activation reverses neuromuscular dysfunction in murine CMT2A

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    Charcot-Marie-Tooth disease type 2A (CMT2A) is an untreatable childhood peripheral neuropathy caused by mutations of the mitochondrial fusion protein, mitofusin (MFN) 2. Here, pharmacological activation of endogenous normal mitofusins overcame dominant inhibitory effects of CMT2A mutants in reprogrammed human patient motor neurons, reversing hallmark mitochondrial stasis and fragmentation independent of causa
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