71 research outputs found

    Contextual Advertising Based on Content Recognition in a Video

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    Generally, the present disclosure is directed to providing relevant advertisements based on the visual content of a video. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to determine a relevant advertisement and/or a relevant time for the relevant advertisement based on image data taken from a video

    Real-time Clothing Size Estimation Using Body Segmentation

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    Users that shop for clothes online need to select the appropriate clothing size from available options. This can pose a problem since different brands define sizes (e.g., small, medium, large, etc.) differently. This disclosure describes techniques that enable a user to measure body dimensions relevant to clothing size, e.g., chest, waist, inseam, etc., based on capturing images of the user. The techniques can be implemented using the camera and the browser of the user’s device, such that clothing-size measurement is frictionlessly integrated with the online shopping experience

    Electrophysiological responses to violations of expectation from eye gaze and arrow cues

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    Isolating processes within the brain that are specific to human behavior is a key goal for social neuroscience. The current research was an attempt to test whether recent findings of enhanced negative ERPs in response to unexpected human gaze are unique to eye gaze stimuli by comparing the effects of gaze cues with the effects of an arrow cue. ERPs were recorded while participants (N=30) observed a virtual actor or an arrow that gazed (or pointed) either toward (object congruent) or away from (object incongruent) a flashing checkerboard. An enhanced negative ERP (N300) in response to object incongruent compared to object congruent trials was recorded for both eye gaze and arrow stimuli. The findings are interpreted as reflecting a domain general mechanism for detecting unexpected events

    Conversion of a 3D scene into video

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    Three-dimensional graphics capabilities of portable devices such as smartphones are limited by their hardware. Even smartphones that include graphics processing units (GPU) cannot produce the graphics processing performance of a device (e.g., PC) that uses a more powerful desktop-class graphics processor. This disclosure describes techniques to create 360° video from a specified three-dimensional scene on a virtual desktop computer using a web browser and advanced graphics hardware. The video generated using this technique can be stored on a video hosting website and is suitable to be rendered by devices that lack advanced graphics capabilities

    Case Study Investigating the Relationship Between Construction Craft Workers' Emotional Intelligence and Productivity on Jobsites

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    Many variables affect commercial construction projects. Some of these are related to the soft sciences of construction laborers on construction projects. Past research studied Emotional Intelligence (EI) of construction managers and provided data used to predict construction project success. This research studied construction laborers instead of construction managers. The Percent Planned Complete (PPC) of the Last Planner System (LPS) was used to determine the predictability of four subcontractors on a multi-family housing project with a thirteen-week schedule in Stillwater, Oklahoma. The Emotional Intelligence score of forty-nine construction laborers was collected using the SSEIT and the relationship with their PPC was analyzed. The results provide new knowledge to the understanding of construction worker's productivity showing higher EI scores could have a negative impact on workplace productivity. With this new knowledge construction managers can understand the role EI plays with construction laborers' productivity.Civil Engineerin

    Medicare Payment Policy: Does Cost Shifting Matter?

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    We examine cost shifting within the context of Medicare payment policy. We briefly review economic theory and available data and discuss the importance of cost shifting for policy. Then we present four central findings on cost shifting based on the views of former high-level policymakers. First, Medicare’s early (pre-prospective) payment policy was a boon to hospitals. Second, Medicare payment policy is a “top-down” affair, driven by budgetary and special-interest politics. Third, federal policymakers may not consciously consider cost shifting, but state policymakers do. Fourth, Medicare payment policy requires constant adjustment, but we are “getting it right” most of the time

    Differential effects of warming and nitrogen fertilization on soil respiration and microbial dynamics in switchgrass croplands

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    The mechanistic understanding of warming and nitrogen (N) fertilization, alone or in combination, on microbially mediated decomposition is limited. In this study, soil samples were collected from previously harvested switchgrass (Panicum virgatum L.) plots that had been treated with high N fertilizer (HN: 67 kg N ha−1) and those that had received no N fertilizer (NN) over a 3-year period. The samples were incubated for 180 days at 15 °C and 20 °C, during which heterotrophic respiration, ή13C of CO2, microbial biomass (MB), specific soil respiration rate (Rs: respiration per unit of microbial biomass), and exoenzyme activities were quantified at 10 different collections time. Employing switchgrass tissues (referred to as litter) with naturally abundant 13C allowed us to partition CO2 respiration derived from soil and amended litter. Cumulative soil respiration increased significantly by 16.4% and 4.2% under warming and N fertilization, respectively. Respiration derived from soil was elevated significantly with warming, while oxidase, the agent for recalcitrant soil substrate decomposition, was not significantly affected by warming. Warming, however, significantly enhanced MB and Rs indicating a decrease in microbial growth efficiency (MGE). On the contrary, respiration derived from amended litter was elevated with N fertilization, which was consistent with the significantly elevated hydrolase. N fertilization, however, had little effect on MB and Rs, suggesting little change in microbial physiology. Temperature and N fertilization showed minimal interactive effects likely due to little differences in soil N availability between NN and HN samples, which is partly attributable to switchgrass biomass N accumulation (equivalent to ~53% of fertilizer N). Overall, the differential individual effects of warming and N fertilization may be driven by physiological adaptation and stimulated exoenzyme kinetics, respectively. The study shed insights on distinct microbial acquisition of different substrates under global temperature increase and N enrichment

    COSORE: A community database for continuous soil respiration and other soil‐atmosphere greenhouse gas flux data

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    Globally, soils store two to three times as much carbon as currently resides in the atmosphere, and it is critical to understand how soil greenhouse gas (GHG) emissions and uptake will respond to ongoing climate change. In particular, the soil‐to‐atmosphere CO2 flux, commonly though imprecisely termed soil respiration (RS), is one of the largest carbon fluxes in the Earth system. An increasing number of high‐frequency RS measurements (typically, from an automated system with hourly sampling) have been made over the last two decades; an increasing number of methane measurements are being made with such systems as well. Such high frequency data are an invaluable resource for understanding GHG fluxes, but lack a central database or repository. Here we describe the lightweight, open‐source COSORE (COntinuous SOil REspiration) database and software, that focuses on automated, continuous and long‐term GHG flux datasets, and is intended to serve as a community resource for earth sciences, climate change syntheses and model evaluation. Contributed datasets are mapped to a single, consistent standard, with metadata on contributors, geographic location, measurement conditions and ancillary data. The design emphasizes the importance of reproducibility, scientific transparency and open access to data. While being oriented towards continuously measured RS, the database design accommodates other soil‐atmosphere measurements (e.g. ecosystem respiration, chamber‐measured net ecosystem exchange, methane fluxes) as well as experimental treatments (heterotrophic only, etc.). We give brief examples of the types of analyses possible using this new community resource and describe its accompanying R software package
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