1,604 research outputs found

    Boundedness of Maximal Operators of Schr\"odinger Type with Complex Time

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    Results of P. Sj\"olin and F. Soria on the Schr\"odinger maximal operator with complex-valued time are improved by determining up to the endpoint the sharp s0s \geq 0 for which boundedness from the Sobolev space Hs(R)H^s(\mathbb{R}) into L2(R)L^2(\mathbb{R}) occurs. Bounds are established for not only the Schr\"odinger maximal operator, but further for a general class of maximal operators corresponding to solution operators for certain dispersive PDEs. As a consequence of additional bounds on these maximal operators from Hs(R)H^s(\mathbb{R}) into L2([1,1])L^2([-1, 1]), sharp results on the pointwise almost everywhere convergence of the solutions of these PDEs to their initial data are determined.Comment: 12 pages. One further minor correction. To appear in the Revista Matem\'atica Iberoamerican

    Discussant\u27s response to Is the second standard of fieldwork necessary

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    https://egrove.olemiss.edu/dl_proceedings/1169/thumbnail.jp

    Discussant\u27s response to Internal control: Progress and perils

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    https://egrove.olemiss.edu/dl_proceedings/1094/thumbnail.jp

    Behavioural simulation of biological neuron systems using VHDL and VHDL-AMS

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    The investigation of neuron structures is an incredibly difficult and complex task that yields relatively low rewards in terms of information from biological forms (either animals or tissue). The structures and connectivity of even the simplest invertebrates are almost impossible to establish with standard laboratory techniques, and even when this is possible it is generally time consuming, complex and expensive. Recent work has shown how a simplified behavioural approach to modelling neurons can allow “virtual” experiments to be carried out that map the behaviour of a simulated structure onto a hypothetical biological one, with correlation of behaviour rather than underlying connectivity. The problems with such approaches are numerous. The first is the difficulty of simulating realistic aggregates efficiently, the second is making sense of the results and finally, it would be helpful to have an implementation that could be synthesised to hardware for acceleration. In this paper we present a VHDL implementation of Neuron models that allow large aggregates to be simulated. The models are demonstrated using a system level VHDL and VHDL-AMS model of the C. Elegans locomotory system

    Comment: The Multi-Disciplinary Practice of Certified Public Accountants and Lawyers

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    Comment: The Multi-Disciplinary Practice of Certified Public Accountants and Lawyers

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    Climate change at the ecosystem scale: a 50-year record in New Hampshire

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    Observing the full range of climate change impacts at the local scale is difficult. Predicted rates of change are often small relative to interannual variability, and few locations have sufficiently comprehensive long-term records of environmental variables to enable researchers to observe the fine-scale patterns that may be important to understanding the influence of climate change on biological systems at the taxon, community, and ecosystem levels. We examined a 50-year meteorological and hydrological record from the Hubbard Brook Experimental Forest (HBEF) in New Hampshire, an intensively monitored Long-Term Ecological Research site. Of the examined climate metrics, trends in temperature were the most significant (ranging from 0.7 to 1.3 °C increase over 40–50 year records at 4 temperature stations), while analysis of precipitation and hydrologic data yielded mixed results. Regional records show generally similar trends over the same time period, though longer-term (70–102 year) trends are less dramatic. Taken together, the results from HBEF and the regional records indicate that the climate has warmed detectably over 50 years, with important consequences for hydrological processes. Understanding effects on ecosystems will require a diversity of metrics and concurrent ecological observations at a range of sites, as well as a recognition that ecosystems have existed in a directionally changing climate for decades, and are not necessarily in equilibrium with the current climate

    Gender Bias in Depression Detection Using Audio Features

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    Depression is a large-scale mental health problem and a challenging area for machine learning researchers in detection of depression. Datasets such as Distress Analysis Interview Corpus - Wizard of Oz (DAIC-WOZ) have been created to aid research in this area. However, on top of the challenges inherent in accurately detecting depression, biases in datasets may result in skewed classification performance. In this paper we examine gender bias in the DAIC-WOZ dataset. We show that gender biases in DAIC-WOZ can lead to an overreporting of performance. By different concepts from Fair Machine Learning, such as data re-distribution, and using raw audio features, we can mitigate against the harmful effects of bias.Comment: 5 pages, 2 figures, to be published at EUSIPCO 202

    Using GPS telemetry to validate least-cost modeling of gray squirrel ( Sciurus carolinensis) movement within a fragmented landscape

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    In Britain, the population of native red squirrels Sciurus vulgaris has suffered population declines and local extinctions. Interspecific resource competition and disease spread by the invasive gray squirrel Sciurus carolinensis are the main factors behind the decline. Gray squirrels have adapted to the British landscape so efficiently that they are widely distributed. Knowledge on how gray squirrels are using the landscape matrix and being able to predict their movements will aid management. This study is the first to use global positioning system (GPS) collars on wild gray squirrels to accurately record movements and land cover use within the landscape matrix. This data were used to validate Geographical Information System (GIS) least-cost model predictions of movements and provided much needed information on gray squirrel movement pathways and network use. Buffered least-cost paths and least-cost corridors provide predictions of the most probable movements through the landscape and are seen to perform better than the more expansive least-cost networks which include all possible movements. Applying the knowledge and methodologies gained to current gray squirrel expansion areas, such as Scotland and in Italy, will aid in the prediction of potential movement areas and therefore management of the invasive gray squirrel. The methodologies presented in this study could potentially be used in any landscape and on numerous species

    An Integrated Approach to the Audit of OIS\u27S

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    Accounting systems are by their very nature fundamental components of an Office Information System (OIS). As a requi rement for conducti ng busi ness, these systems need to satisfy accounting and auditing requirements. Though the state-of-the-art in EDP auditing has made major advancements i n recent years, many of the computer control s and EDP auditing techniques currently employed are unusuable or inadequate in an OIS environment. The accountability of an OIS poses many new challenges. The answers to these questions must be found in the same technol ogy that presents them. In partial ful fill ment of these needs, a general design of an audit system suitable for OIS\u27s is presented in this article. The audit system constitutes a unified and integrated audit approach that incl udes internal control documentation and review, office compliance, real-time office control, and substantive testing. The real-time control of an OIS requi res the devel opment of matchi ng OIS hardware controls and operating system controls for tracing, scheduling, and monitoring office activity. Further development of this work and integration of the audit system in an OIS would virtually result in a continuous audit
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