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International audience; What are the standards for the reporting methods and results of fMRI studies, and how have they evolved over the years? To answer this question we reviewed 160 papers published between 2004 and 2019. Reporting styles for methods and results of fMRI studies can differ greatly between published studies. However, adequate reporting is essential for the comprehension, replication and reuse of the study (for instance in a meta-analysis). To aid authors in reporting the methods and results of their task-based fMRI study the COBIDAS report was published in 2016, which provides researchers with clear guidelines on how to report the design, acquisition, preprocessing, statistical analysis and results (including data sharing) of fMRI studies (Nichols et al. in Best Practices in Data Analysis and Sharing in Neuroimaging using fMRI, 2016). In the past reviews have been published that evaluate how fMRI methods are reported based on the 2008 guidelines, but they did not focus on how task based fMRI results are reported. This review updates reporting practices of fMRI methods, and adds an extra focus on how fMRI results are reported. We discuss reporting practices about the design stage, specific participant characteristics, scanner characteristics, data processing methods, data analysis methods and reported results.

The digital ‘Burgundian Epigraphic Corpus’ is the result of a collaboration between two teams, the Corpus of Inscriptions of Medieval France (CIFM) and the Corpus of Medieval Burgundian Texts (CBMA), as part of the Cosme2 (Consortium Sources Médiévales—linked to TGIR Huma-Num from CNRS—France), dedicated to digital approaches to historical corpora. This article explains how a complex set of documents mixing Latin, Greek, and Old French texts, accompanied by rich metadata, has been processed in order to allow new surveys by humanists. It shows how the corpus is constantly reinvested and how its exploitation, thanks to digital methods, generates new data and metadata that can be reinjected into the corpus and in turn operated, creating a kind of virtuous circle. Three retro-developments are briefly discussed here: (1) semantic web, connectivity, and named entities; (2) geographic information system (GIS) and automated extraction of new metadata; (3) lemmatization and automatic language detection.

For a long time, the water column at the impact point of a naval gun firing at the sea has mainly depended on manual detection methods for locating, which has problems such as low accuracy, subjectivity and inefficiency. In order to solve the above problems, this paper proposes a water column detection method based on an improved you-only-look-once version 4 (YOLOv4) algorithm. Firstly, the method detects the sea antenna through the Hoffman line detection method to constrain the sensitive area in the current detection image so as to improve the accuracy of water column detection; secondly, density-based spatial clustering of applications with noise (DBSCAN) + K-means clustering algorithm is used to obtain a better prior bounding box, which is input into the YOLOv4 network to improve the positioning accuracy of the water column; finally, the convolutional block attention module (CBAM) is added in the PANet structure to improve the detection accuracy of the water column. The experimental results show that the above algorithm can effectively improve the detection accuracy and positioning accuracy of the water column at the impact point.

L’heureuse conjonction en 2004, de l’arrivée à l’UMR 5594 de Marie-José Gasse-Grandjean, spécialiste de la diplomatique médiévale, avec le lancement de l’ACI “Chartes et pouvoir” par Benoît-Michel Tock (voir ci-avant), a suscité le développement de ce programme de recherches autour des “Chartes de la Bourgogne du Moyen Âge”. Étroitement lié à l’intérêt que les sources diplomatiques représentent pour les médiévistes de l’équipe, ce projet passe d’abord par la constitution d’un outil de rech...