1,059 research outputs found

    Modelling the temperature, maturity and moisture content in a drying concrete block

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    In this paper we continue work from a previous Study Group in developing a model for the maturation of concrete. The model requires equations describing the temperature, moisture content and maturity (or amount of cement that has reacted with the water). Non-dimensionalisation is used to simplify the model and provide simple analytical solutions which are valid for early time maturation. A numerical scheme is also developed and simulations carried out for maturation over one day and then two months. For the longer simulation we also investigate the effect of building the block in a single pour or two stages

    Developing a new resetting tool for controlling rats

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    A resetting toxin device (the “Spitfire”) has been designed that delivers a toxic paste to a rat’s ventral surface when it passes through a tunnel. The rat grooms off the paste and ingests the toxin. The system was assessed in cage trials and one field trial. The purpose of the cage trials was to investigate whether a range of toxins can be delivered by the Spitfire to rats (Rattus rattus and R. norvegicus), namely 0.55% sodium fluoroacetate (1080), 0.2% brodifacoum, 15% cholecalciferol, and 12.5% zinc phosphide. The trials with 1080, brodifacoum, and zinc phosphide were successful with > 85% of rats ingesting lethal doses. The trials with cholecalciferol were less successful with only 58% of rats dying. A one-month pilot field trial was undertaken using 1080 in the Spitfires. There was a knockdown in rat (and stoat Mustela erminea) abundance, establishing proof of concept for the Spitfire delivery system with this toxin. The long-term, effective control of introduced rats will require a range of toxins with different modes of action. The Spitfire could be a useful additional control tool for rats and is currently being re-engineered to be made more reliable

    Entity Recommendation for Everyday Digital Tasks

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    Recommender systems can support everyday digital tasks by retrieving and recommending useful information contextually. This is becoming increasingly relevant in services and operating systems. Previous research often focuses on specific recommendation tasks with data captured from interactions with an individual application. The quality of recommendations is also often evaluated addressing only computational measures of accuracy, without investigating the usefulness of recommendations in realistic tasks. The aim of this work is to synthesize the research in this area through a novel approach by (1) demonstrating comprehensive digital activity monitoring, (2) introducing entity-based computing and interaction, and (3) investigating the previously overlooked usefulness of entity recommendations and their actual impact on user behavior in real tasks. The methodology exploits context from screen frames recorded every 2 seconds to recommend information entities related to the current task. We embodied this methodology in an interactive system and investigated the relevance and influence of the recommended entities in a study with participants resuming their real-world tasks after a 14-day monitoring phase. Results show that the recommendations allowed participants to find more relevant entities than in a control without the system. In addition, the recommended entities were also used in the actual tasks. In the discussion, we reflect on a research agenda for entity recommendation in context, revisiting comprehensive monitoring to include the physical world, considering entities as actionable recommendations, capturing drifting intent and routines, and considering explainability and transparency of recommendations, ethics, and ownership of data

    EntityBot: Supporting everyday digital tasks with entity recommendations

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    Everyday digital tasks can highly benefit from systems that recommend the right information to use at the right time. However, existing solutions typically support only specific applications and tasks. In this demo, we showcase EntityBot, a system that captures context across application boundaries and recommends information entities related to the current task. The user's digital activity is continuously monitored by capturing all content on the computer screen using optical character recognition. This includes all applications and services being used and specific to individuals' computer usages such as instant messaging, emailing, web browsing, and word processing. A linear model is then applied to detect the user's task context to retrieve entities such as applications, documents, contact information, and several keywords determining the task. The system has been evaluated with real-world tasks, demonstrating that the recommendation had an impact on the tasks and led to high user satisfaction

    Remembering Canadians in Global Missions and World Service

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    “Remembering Canadians in Global Missions and World Service” is included in this issue of Consensus as it was part of the Call for Papers by the Remembering Today for the Church of Tomorrow Project. Additional details can be found at https://canadianlutheranhistory.ca/global-service

    Higher mortality of patients on haemodialysis with pancreatic diabetes compared to type 2-diabetes

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    In rare cases (1-8%) diabetic patients with end-stage renal disease (ESRD) suffer from diabetic nephropathy (dNP) due to pancreatic diabetes mellitus (PDM). Aim of this study was to investigate differences in the outcome of patients with PDM and those with type 2 diabetes

    The disappearance and reappearance of optical emission lines and the drop in a Swift/XRT count rate during the recent rebrightening of TCP J21040470+4631129

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    We report the results of our continuing optical and X-ray monitoring of the bright WZ Sge-type dwarf nova TCP J21040470+4631129 (hereafter TCP2104) discovered on July 12, 2019 (for previous reports, see ATel #12947, #13009). Our optical photometric observations are mostly performed using 30-cm class telescopes, while spectroscopic data are obtained with the 2.1-m telescope at the OAN-SPM, the 2.5-m Isaac Newton Telescope on La Palma, and other smaller telescopes.peer-reviewe

    Long-Term Survival Rates after Resection for Locally Advanced Kidney Cancer: Memorial Sloan Kettering Cancer Center 1989 to 2012 Experience

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    Purpose: We analyzed the 23-year Memorial Sloan Kettering Cancer Center experience with surgical resection, and concurrent adrenalectomy and lymphadenectomy for locally advanced nonmetastatic renal cell carcinoma. Materials and Methods: We retrospectively reviewed the records of 802 patients who underwent nephrectomy with or without concurrent adrenalectomy or lymphadenectomy for locally advanced renal cell carcinoma, defined as stage T3 or greater and M0. Patients who received adjuvant treatment within 3 months of surgery or had fewer than 3 months of followup or bilateral renal masses at presentation were excluded from analysis. Five and 10-year progression-free and overall survival was estimated by the Kaplan-Meier method. Differences between groups were analyzed by the log rank test. Results: A total of 596 (74%) and 206 patients (26%) underwent radical and partial nephrectomy, respectively. Renal cell carcinoma progressed in 189 patients and 104 died of the disease. Median followup in patients without progression was 4.6 years. Symptoms at presentation, ASA (R) classification, tumor stage, histological subtype, grade and lymph node status were significantly associated with progression-free and overall survival. On multivariate analysis adrenalectomy use decreased with time but lymphadenectomy use increased (OR 0.82 vs 1.16 per year). Larger tumors were associated with a higher likelihood of concurrent adrenalectomy and lymphadenectomy. Conclusions: In our series of patients with locally advanced nonmetastatic renal cell carcinoma survival was favorable in those in good health who were asymptomatic at presentation with T3 tumors and negative lymph nodes. Further, there has been a trend toward more selective use of adrenalectomy and increased use of lymphadenectomy

    The remarkable outburst of the highly-evolved post period-minimum dwarf nova SSS J122221.7−311525

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    We report extensive 3-yr multiwavelength observations of the WZ Sge-type dwarf nova SSS J122221.7-311525 during its unusual double superoutburst, the following decline and in quiescence. The second segment of the superoutburst had a long duration of 33 d and a very gentle decline with a rate of 0.02 mag d -1 , and it displayed an extended post-outburst decline lasting at least 500 d. Simultaneously with the start of the rapid fading from the superoutburst plateau, the system showed the appearance of a strong near-infrared excess resulting in very red colours, which reached extreme values (B - I ≃ 1.4) about 20 d later. The colours then became bluer again, but it took at least 250 d to acquire a stable level. Superhumps were clearly visible in the light curve from our very first time-resolved observations until at least 420 d after the rapid fading from the superoutburst. The spectroscopic and photometric data revealed an orbital period of 109.80 min and a fractional superhump period excess ≲0.8 per cent, indicating a very low mass ratio q ≲ 0.045. With such a small mass ratio the donor mass should be below the hydrogen-burning minimum mass limit. The observed infrared flux in quiescence is indeed much lower than is expected from a cataclysmic variable with a nearmain- sequence donor star. This strongly suggests a brown-dwarf-like nature for the donor and that SSS J122221.7-311525 has already evolved away from the period minimum towards longer periods, with the donor now extremely dim
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