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METHODS OF EXPRESSING EVALUATION IN ENGLISH LANGUAGE PAREMIAS ...
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The relationship between developmental language disorder and dyslexia in European Portuguese school-aged children
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Adults with a history of recreational cannabis use have altered speech production
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Tapping into non-English-language science for the conservation of global biodiversity
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Abstract:
The widely held assumption that any important scientific information would be available in English underlies the underuse of non-English-language science across disciplines. However, non-English-language science is expected to bring unique and valuable scientific information, especially in disciplines where the evidence is patchy, and for emergent issues where synthesising available evidence is an urgent challenge. Yet such contribution of non- English-language science to scientific communities and the application of science is rarely quantified. Here, we show that non-English-language studies provide crucial evidence for informing global biodiversity conservation. By screening 419,679 peer-reviewed papers in 16 languages, we identified 1,234 non-English-language studies providing evidence on the effectiveness of biodiversity conservation interventions, compared to 4,412 English-language studies identified with the same criteria. Relevant non-English-language studies are being published at an increasing rate in 6 out of the 12 languages where there were a sufficient number of relevant studies. Incorporating non-English-language studies can expand the geographical coverage (i.e., the number of 2° × 2° grid cells with relevant studies) of English-language evidence by 12% to 25%, especially in biodiverse regions, and taxonomic coverage (i.e., the number of species covered by the relevant studies) by 5% to 32%, although they do tend to be based on less robust study designs. Our results show that synthesising non-English-language studies is key to overcoming the widespread lack of local, context-dependent evidence and facilitating evidence-based conservation globally. We urge wider disciplines to rigorously reassess the untapped potential of non-English-language science in informing decisions to address other global challenges.
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Keyword:
Animals; Biodiversity; Conservation of Natural Resources; Geography; Language; Publications; Science
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URL: https://doi.org/10.1371/journal.pbio.3001296
http://hdl.handle.net/2318/1856407
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The trans-ancestral genomic architecture of glycemic traits.
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In: Nature genetics, vol. 53, no. 6, pp. 840-860 (2021)
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Corpus Analysis of Engagement Discourse Strategies in Academic Presentations
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In: World Languages Faculty Publications and Presentations (2020)
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Comparison of the Perspectives of Medical Students and Residents on the Surgery Learning Environment
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In: J Surg Res (2020)
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Mimicry of canonical translation elongation underlies alanine tail synthesis in RQC
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In: Mol Cell (2020)
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Desenvolvimento de uma versão portuguesa do nutritional risk screening NRS 2002
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RELEASE: A protocol for a systematic review based, individual participant data, meta- and network meta-analysis, of complex speech-language therapy interventions for stroke-related aphasia
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Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0
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Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0
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Elastic constant determination of unidirectional composite via ultrasonic bulk wave through transmission measurements : a review
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Guidance on Noncorticosteroid Systemic Immunomodulatory Therapy in Noninfectious Uveitis: Fundamentals Of Care for UveitiS (FOCUS) Initiative.
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In: Ophthalmology, vol. 125, no. 5, pp. 757-773 (2018)
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A political ecology of REDD+ : Property rights, militarised protectionism, and carbonised exclusion in Cross River
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COMMUNICATIVE AND COGNITIVE FEATURES OF ART DISCOURSE AND SCIENCE OF LANGUAGE
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SEDYKH A.P.; KUGAN E.I.. - : Федеральное государственное автономное образовательное учреждение высшего профессионального образования «Белгородский государственный национальный исследовательский университет», 2015
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Feasibility of automated speech sample collection with stuttering children using interactive voice response (IVR) technology
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Comparability of Modern Recording Devices for Speech Analysis: Smartphone, Landline, Laptop, and Hard Disc Recorder
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