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COVID-19 advocacy bias in the BMJ: meta-research evaluation [PDF]

open access: yesBMJ Open Quality
Objectives During the COVID-19 pandemic, BMJ, a leading journal on evidence-based medicine worldwide, published many views by advocates of specific COVID-19 policies.
John P A Ioannidis   +3 more
doaj   +4 more sources

Meta-research [PDF]

open access: yesمجله ایرانی آموزش در علوم پزشکی, 2022
Letter To ...
Alireza Monajemi
doaj   +3 more sources

Journal policies and editors’ opinions on peer review

open access: yeseLife, 2020
Peer review practices differ substantially between journals and disciplines. This study presents the results of a survey of 322 editors of journals in ecology, economics, medicine, physics and psychology.
Daniel G Hamilton   +3 more
doaj   +2 more sources

Technological advances in preclinical meta-research [PDF]

open access: yesBMJ Open Science, 2021
Metaresearch is a scientific field involving the study of research itself. It has been applied to clinical trials since the 1980s,1 but has only become an emerging discipline over the last decade in the preclinical field. The primary tool of metaresearch is the systematic review, which uses predefined methods to provide a transparent and comprehensive ...
Bannach-Brown, A   +5 more
openaire   +5 more sources

Meta‐research publications in dentistry: a review [PDF]

open access: yesEuropean Journal of Oral Sciences, 2021
AbstractThe present scoping review has the objective of providing an overview of meta‐research in dentistry. A search of the PubMed database was performed for the period 11 October 2014 to 10 October 2019. Study selection and data extraction were performed independently by one author; prior to this, a random sample of 10% of the retrieved titles and ...
Clovis M. Faggion   +2 more
openaire   +4 more sources

Generative Spoken Dialogue Language Modeling

open access: yesTransactions of the Association for Computational Linguistics, 2023
We introduce dGSLM, the first “textless” model able to generate audio samples of naturalistic spoken dialogues. It uses recent work on unsupervised spoken unit discovery coupled with a dual-tower transformer architecture with cross-attention trained on ...
Tu Anh Nguyen   +10 more
doaj   +1 more source

AdsorbML: a leap in efficiency for adsorption energy calculations using generalizable machine learning potentials

open access: yesnpj Computational Materials, 2023
Computational catalysis is playing an increasingly significant role in the design of catalysts across a wide range of applications. A common task for many computational methods is the need to accurately compute the adsorption energy for an adsorbate and ...
Janice Lan   +8 more
doaj   +1 more source

Perceptual evaluation of approaches for binaural reproduction of non-spherical microphone array signals

open access: yesFrontiers in Signal Processing, 2022
Microphone arrays consisting of sensors mounted on the surface of a rigid, spherical scatterer are popular tools for the capture and binaural reproduction of spatial sound scenes.
Tim Lübeck   +6 more
doaj   +1 more source

DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon

open access: yesTransactions of the Association for Computational Linguistics, 2022
Finding word boundaries in continuous speech is challenging as there is little or no equivalent of a ‘space’ delimiter between words. Popular Bayesian non-parametric models for text segmentation (Goldwater et al., 2006, 2009) use a Dirichlet process to ...
Robin Algayres   +7 more
doaj   +1 more source

Deep language algorithms predict semantic comprehension from brain activity

open access: yesScientific Reports, 2022
Deep language algorithms, like GPT-2, have demonstrated remarkable abilities to process text, and now constitute the backbone of automatic translation, summarization and dialogue.
Charlotte Caucheteux   +2 more
doaj   +1 more source

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