304 research outputs found

    Acoustics in water: synergies with marine biology

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    This paper presents some of the bioacoustics related analysis that was performed on the ANTARES data, focussing on the year 2014. The data was processed for sperm whale, dolphin and shipping presence and grouped by hour of the day. It seemed that dolphins were more socially active during the day and foraging during the night. Sperm whales were mostly foraging during the day, but they may have been moving to other areas during the night. The most intense shipping noise came from a ferry that passed the platform twice a day. Although beaked whales were expected to be present in the area, so far their biosonar signal has not been conclusively found.Postprint (published version

    Infected Necrosis in Severe Pancreatitis - Combined Nonsurgical Multi-Drainage with Directed Transabdominal High-Volume Lavage in Critically Ill Patients

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    Background: Infection of pancreatic necrosis is a life-threatening complication during the course of acute pancreatitis. In critically ill patients, surgical or extended endoscopic interventions are associated with high morbidity and mortality. Minimally invasive procedures on the other hand are often insufficient in patients suffering from large necrotic areas containing solid or purulent material. We present a strategy combining percutaneous and transgastric drainage with continuous high-volume lavage for treatment of extended necroses and liquid collections in a series of patients with severe acute pancreatitis. Patients and Methods: Seven consecutive patients with severe acute pancreatitis and large confluent infected pancreatic necrosis were enrolled. In all cases, the first therapeutic procedure was placement of a CT-guided drainage catheter into the fluid collection surrounding peripancreatic necrosis. Thereafter, a second endosonographically guided drainage was inserted via the gastric or the duodenal wall. After communication between the separate drains had been proven, an external to internal directed high-volume lavage with a daily volume of 500 ml up to 2,000 ml was started. Results: In all patients, pancreatic necrosis/liquid collections could be resolved completely by the presented regime. No patient died in the course of our study. After initiation of the directed high-volume lavage, there was a significant clinical improvement in all patients. Double drainage was performed for a median of 101 days, high-volume lavage for a median of 41 days. Several endoscopic interventions for stent replacement were required (median 8). Complications such as bleeding or perforation could be managed endoscopically, and no subsequent surgical therapy was necessary. All patients could be dismissed from the hospital after a median duration of 78 days. Conclusion: This approach of combined percutaneous/endoscopic drainage with high-volume lavage shows promising results in critically ill patients with extended infected pancreatic necrosis and high risk of surgical intervention. Neither surgical nor endoscopic necrosectomy was necessary in any of our patients. Copyright (C) 2009 S. Karger AG, Basel and IA

    A novel approach to real-time range estimation of underwater acoustic sources using supervised machine learning

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    © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.The proposed paper introduces a novel method for range estimation of acoustic sources, both cetaceans and industrial sources, in deep sea environments using supervised learning with neural networks in the contex of a single sensor, a compact array, or a small aperture towed array. The presented results have potential both for industrial impact and for the conservation and density estimation of cetaceans. With an average error of 4.3% for ranges up to 8 kilometers and typically below 300 meters, those results are challenging and to our knowledge they are unprecedented for an automated real-time solution.Peer ReviewedPostprint (author's final draft

    Scalable production of iPSC-derived human neurons to identify tau-lowering compounds by high-content screening

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    Lowering total tau levels is an attractive therapeutic strategy for Alzheimer's disease and other tauopathies. High-throughput screening in neurons derived from human induced pluripotent stem cells (iPSCs) is a powerful tool to identify tau-targeted therapeutics. However, such screens have been hampered by heterogeneous neuronal production, high cost and low yield, and multi-step differentiation procedures. We engineered an isogenic iPSC line that harbors an inducible neurogenin 2 transgene, a transcription factor that rapidly converts iPSCs to neurons, integrated at the AAVS1 locus. Using a simplified two-step protocol, we differentiated these iPSCs into cortical glutamatergic neurons with minimal well-to-well variability. We developed a robust high-content screening assay to identify tau-lowering compounds in LOPAC and identified adrenergic receptors agonists as a class of compounds that reduce endogenous human tau. These techniques enable the use of human neurons for high-throughput screening of drugs to treat neurodegenerative disease

    Modelling the underwater noise associated to the construction and operation of offshore wind turbines

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    The operation and in particular the construction of offshore wind converters induce considerable underwater noise emissions. It is assumed that small whales and seals can be affected by noise from machines and vessels, piling and installation of the wind turbines. Piling, in particular using hydraulic hammers creates impulsive noise with considerable high energy levels. Currently, only little knowledge about the effects of different noises to marine life is available. Here, we present an ongoing project from the Laboratory of Applied Bioacoustics (Technical University of Catalonia): to simulate the generation, radiation and propagation of underwater noise; to develop forecasting hydro sound models of offshore wind converters and future noise reduction methods during pile driving; to determine the impact area of offshore wind farms; to allow the formulation of recommendations for acoustic emission thresholds; and to develop standard procedures for the determination and assessment of noise emissions.Peer ReviewedPostprint (published version

    Best practices in management, assessment and control of underwater noise pollution

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    The origin of this work can be found in the project ‘Effects and Control of Anthropogenic Noise in Marine Ecosystems’ in the part relative to legal initiatives. In the first phase of the Report on this Project (December 2008) it was concluded that the level of complexity of marine issues, united by the fact that wide scientific gaps and difficulties still need to be covered and resolved, counseled against the immediate drawing up of legal projects concerning underwater acoustic pollution. Nevertheless, it was suggested that a document of ‘Best Practices’ be elaborated to focus on the ‘state of the art’ of this issue, and that it be used by public administrations and promoters of projects that will cause acoustic pollution, as much within the framework of environmental impact assessments as in management development plans in protected marine areas. It is of vital importance that activities, which generate acoustic pollution in the oceans, be monitored. Accordingly, this document could derive, in the short term, a Protocol of Applications which will in its own time open the way for the preparation of, if necessary, legislative initiatives within their own right.Preprin

    A complex ray-tracing tool for high-frequency mean-field flow interaction effects in jets

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    This paper presents a complex ray-tracing tool for the calculation of high-frequency Green’s functions in 3D mean field jet flows. For a generic problem, the ray solution suffers from three main deficiencies: multiplicity of solutions, singularities at caustics, and the determining of complex solutions. The purpose of this paper is to generalize, combine and apply existing stationary media methods to moving media scenarios. Multiplicities are dealt with using an equivalent two-point boundary-value problem, whilst non-uniformities at caustics are corrected using diffraction catastrophes. Complex rays are found using a combination of imaginary perturbations, an assumption of caustic stability, and analytic continuation of the receiver curve. To demonstrate this method, the ray tool is compared against a high-frequency modal solution of Lilley’s equation for an off-axis point source. This solution is representative of high-frequency source positions in real jets and is rich in caustic structures. A full utilization of the ray tool is shown to provide excellent results<br/

    APP vs COVID

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    Across the world, the coronavirus (COVID-19) pandemic is changing the landscape of the way in which people live and behave. Practicing infection control behaviors as set forth by the CDC, WHO, and other public health organizations is imperative on college campuses around the country where population density is high and frequent interactions are practiced by students. Behavioral interventions have been documented to work in industry to reduce injury, as well as in health promotion and infection prevention; therefore, behavioral interventions are predicted to be effective in slowing the spread of COVID-19. While most studies are looking at the outcomes of contracting COVID-19, this study aims to proactively tackle the health behaviors related to the spread of the virus. Health behaviors that are of interest to this study, and will be quantified are: hand washing and sanitizing, mask wearing, mask removal procedures, and proper social distancing practices. Student observers will be reporting the prevalence of these behaviors through an application created for this study called Habitood. The more students and observers who participate in the study, the more individuals it is surmised will adjust their safety practices to combat COVID-19. This notion is one that is referred to as the observer effect and has been empirically supported in many independent studies (Alvero et al., 2008; Alvero & Austin, 2004). Overall, the goal of the study is to enable students to actively participate in slowing the spread of the virus by motivating infection control behaviors across campus
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