Results 1 to 10 of about 10,850,625 (379)

Quantitative evidence synthesis: a practical guide on meta-analysis, meta-regression, and publication bias tests for environmental sciences. [PDF]

open access: yesEnviron Evid, 2023
Meta-analysis is a quantitative way of synthesizing results from multiple studies to obtain reliable evidence of an intervention or phenomenon. Indeed, an increasing number of meta-analyses are conducted in environmental sciences, and resulting meta ...
Nakagawa S   +4 more
europepmc   +2 more sources

Replication across space and time must be weak in the social and environmental sciences. [PDF]

open access: yesProc Natl Acad Sci U S A, 2021
Replicability takes on special meaning when researching phenomena that are embedded in space and time, including phenomena distributed on the surface and near surface of the Earth.
Goodchild MF, Li W.
europepmc   +2 more sources

The Bibliometric Literature on Scopus and WoS: The Medicine and Environmental Sciences Categories as Case of Study. [PDF]

open access: yesInt J Environ Res Public Health, 2021
In a broad sense, science can be understood as the knowledge contained in scientific manuscripts published in scientific journals. Scientific databases index only those journals that reach certain quality standards.
Cascajares M   +3 more
europepmc   +2 more sources

Translating New Synthetic Biology Advances for Biosensing Into the Earth and Environmental Sciences. [PDF]

open access: yesFront Microbiol, 2020
The rapid diversification of synthetic biology tools holds promise in making some classically hard-to-solve environmental problems tractable. Here we review longstanding problems in the Earth and environmental sciences that could be addressed using ...
Del Valle I   +5 more
europepmc   +2 more sources

Informetric Analysis of Highly Cited Papers in Environmental Sciences Based on Essential Science Indicators. [PDF]

open access: yesInt J Environ Res Public Health, 2020
Highly cited papers in the Essential Science Indicators database refer to papers with citations in the top 1% of all papers in a research field, and they are considered to be symbols of scientific excellence and top performance of the past ten years ...
Ma Q, Li Y, Zhang Y.
europepmc   +2 more sources

Translational Biomarkers of Neurotoxicity: A Health and Environmental Sciences Institute Perspective on the Way Forward. [PDF]

open access: yesToxicol Sci, 2015
Neurotoxicity has been linked to a number of common drugs and chemicals, yet efficient and accurate methods to detect it are lacking. There is a need for more sensitive and specific biomarkers of neurotoxicity that can help diagnose and predict ...
Roberts RA   +15 more
europepmc   +2 more sources

Footprint of publication selection bias on meta‐analyses in medicine, environmental sciences, psychology, and economics [PDF]

open access: yesResearch Synthesis Methods, 2022
Publication selection bias undermines the systematic accumulation of evidence. To assess the extent of this problem, we survey over 68,000 meta‐analyses containing over 700,000 effect size estimates from medicine (67,386/597,699), environmental sciences (
František Bartoš   +11 more
semanticscholar   +1 more source

Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences

open access: yesRisk Analysis, 2023
Demands to manage the risks of artificial intelligence (AI) are growing. These demands and the government standards arising from them both call for trustworthy AI.
Ann Bostrom   +27 more
semanticscholar   +1 more source

The probability of occurrence of disperser and pollinator birds in urban riparian forests

open access: yesEcología Austral, 2022
Riparian forests are important for their ecological function and provision of services regarding the maintenance of water resources and wild fauna. Paradoxically, it is one of the ecosystems that suffer most from anthropization, especially urbanization.
Maira J. Silva Caritá   +2 more
doaj   +1 more source

Coevolution of machine learning and process‐based modelling to revolutionize Earth and environmental sciences: A perspective

open access: yesHydrological Processes, 2022
Machine learning (ML) applications in Earth and environmental sciences (EES) have gained incredible momentum in recent years. However, these ML applications have largely evolved in ‘isolation’ from the mechanistic, process‐based modelling (PBM) paradigms,
S. Razavi   +8 more
semanticscholar   +1 more source

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