729 research outputs found

    Meta-Research: Large-scale language analysis of peer review reports

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    Peer review is often criticized for being flawed, subjective and biased, but research into peer review has been hindered by a lack of access to peer review reports. Here we report the results of a study in which text-analysis software was used to determine the linguistic characteristics of 472,449 peer review reports. A range of characteristics (including analytical tone, authenticity, clout, three measures of sentiment, and morality) were studied as a function of reviewer recommendation, area of research, type of peer review and reviewer gender. We found that reviewer recommendation had the biggest impact on the linguistic characteristics of reports, and that area of research, type of peer review and reviewer gender had little or no impact. The lack of influence of research area, type of review or reviewer gender on the linguistic characteristics is a sign of the robustness of peer review

    Source location of narrow band signals in multipath environments, with application to marine mammals

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    Thesis (Ph.D.)--Boston UniversityPassive acoustic localization has benefited from many major developments and has become an increasingly important focus point in marine mammal research. Several challenges still remain. This work seeks to address several of these challenges such as tracking the calling depths of baleen whales. In this work, data from an array of widely spaced Marine Acoustic Recording Units (MARUs) was used to achieve three dimensional localization by combining the methods Time Difference of Arrival (TDOA) and Direct-Reflected Time Difference of Anival (DRTD) along with a newly developed autocorrelation technique. TDOA was applied to data for two dimensional (latitude and longitude) localization and depth was resolved using DRTD. Previously, DRTD had been limited to pulsed broadband signals, such as sperm whale or dolphin echolocation, where individual direct and reflected signals are separated in time. Due to the length of typical baleen whale vocalizations, individual multipath signal arrivals can overlap making time differences of arrival difficult to resolve. This problem can be solved using an autocorrelation, which can extract reflection information from overlapping signals. To establish this technique, a derivation was made to model the autocorrelation of a direct signal and its overlapping reflection. The model was exploited to derive performance limits allowing for prediction of the minimum resolvable direct-reflected time difference for a known signal type. The dependence on signal parameters (sweep rate, call duration) was also investigated. The model was then verified using both recorded and simulated data from two analysis cases for North Atlantic right whales (NARWs, Eubalaena glacialis) and humpback whales (Megaptera noveaengliae). The newly developed autocorrelation technique was then combined with DRTD and tested using data from playback transmissions to localize an acoustic transducer at a known depth and location. The combined DRTD-autocorrelation methods enabled calling depth and range estimations of a vocalizing NARW and humpback whale in two separate cases. The DRTD-autocorrelation method was then combined with TDOA to create a three dimensional track of a NARW in the Stellwagen Bank National Marine Sanctuary. Results from these experiments illustrated the potential of the combined methods to successfully resolve baleen calling depths in three dimensions

    Radovi doktorskih kandidata s Medicinskog fakulteta Sveučilišta u Zagrebu u hrvatskim časopisima [Publications in the Croatian medical journals by doctoral candidates at University of Zagreb School of Medicine]

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    By searching Medline/PubMed bibliographic database we collected data on publications of two groups of PhD candidates who earned their PhD degrees at University of Zagreb Medical School in 2000 and 2010. We identifed their publications in the Croatian medical journals and separately in the Croatian language. First group of PhD candidates (y 2000) published in the Croatian journals 34% of all published papers, with a share of 29% in the Croatian language. Another group (y 2010) published in the Croatian journals 44% of all published papers in which the number of papers published in the Croatian journals in English language grow significantly (5% vs. 31%). The number of papers published in the Croatian language decreased to 13%. Our results agreed with the global decreasing trend of the number of medical papers in non-English languages. The importance of mother-tongue in the medical education and health care may have influence on preserving scientific communication in non-English medical journals

    Journals could share peer-review data

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    Massa poc Martinell

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