Explore the vast range of titles available.

Lo scopo di questo contributo è organizzare un pur veloce schema degli orientamenti che ha il dibattito sulle parole delle Muse che nella Teogonia, per la scena dell’investitura, Esiodo inserisce amalgamando ben precisi modelli di Omero, con arte allusiva, il discorso delle Sirene, il discorso di Eumeo nell’Odissea e, al centro, il commento al discorso di Etone di Creta. Per le cose vere, ἀληθέα, qui emerge un attrito polare con le molte cose false, ψεύδεα πολλά, che sembrano reali, ἐτύμοισιν ὁμοῖα. Per la critica, il rifiuto colpisce la menzogna con la negazione dell’identità o indica la teoria dell’εἰκὼς λόγος, della finzione, che Aristotele deriva da Gorgia e da Platone. Ma Tucidide, con la VII Nemea di Pindaro, è un sostegno per immaginare un terzo campo: il racconto che trova un codice nell’αὔξησις, nell’amplificazione, il racconto che non offre la base conciliabile con le cose vere.

The Open Microscopy Environment Remote Objects (OMERO) is an open-source image manager used by many biologists to store, organize, view, and share microscopy images, while the open-source software ImageJ/Fiji is a very popular program used to analyse them. However, there is a lack of an easy-to-use generic tool to run a workflow on a batch of images without having to download them to local computers, and to automatically organize the results in OMERO. To offer this functionality, we have built (i) a library in Java: \"Simple OMERO Client\", to communicate with an OMERO database from Java software, (ii) an ImageJ/Fiji plugin to run a macro-program on a batch of images from OMERO and (iii) a new set of Macro Functions, \"OMERO Macro extensions\", dedicated to interact with OMERO in macro-programming. The latter is intended for developers, with additional possibilities using tag criteria, while the \"Batch OMERO plugin\" is more geared towards non-IT scientists and has a very easy to use interface. Each tool is illustrated with a use case.

Background Knowing the needs of the bioimaging community with respect to research data management (RDM) is essential for identifying measures that enable the adoption of the FAIR (findable, accessible, interoperable, reusable) principles for microscopy and bioimage analysis data across disciplines. As an initiative within Germany's National Research Data Infrastructure, we conducted this community survey in the summer of 2021 to assess the state of the art of bioimaging RDM and the community needs. Methods An online survey was conducted with a mixed question-type design. We created a questionnaire tailored to relevant topics of the bioimaging community, including specific questions on bioimaging methods and bioimage analysis, as well as more general questions on RDM principles and tools. 203 survey entries were included in the analysis covering the perspectives from various life and biomedical science disciplines and from participants at different career levels. Results The results highlight the importance and value of bioimaging RDM and data sharing. However, the practical implementation of FAIR practices is impeded by technical hurdles, lack of knowledge, and insecurity about the legal aspects of data sharing. The survey participants request metadata guidelines and annotation tools and endorse the usage of image data management platforms. At present, OMERO (Open Microscopy Environment Remote Objects) is the best known and most widely used platform. Most respondents rely on image processing and analysis, which they regard as the most time-consuming step of the bioimage data workflow. While knowledge about and implementation of electronic lab notebooks and data management plans is limited, respondents acknowledge their potential value for data handling and publication. Conclusions The bioimaging community acknowledges and endorses the value of RDM and data sharing. Still, there is a need for information, guidance, and standardization to foster the adoption of FAIR data handling. This survey may help inspiring targeted measures to close this gap.

Tools and software that automate repetitive tasks, such as metadata extraction and deposition to data repositories, are essential for researchers to share Open Data, routinely. For research that generates microscopy image data, OMERO is an ideal platform for storage, annotation and publication according to open research principles. We present PyOmeroUpload , a Python toolkit for automatically extracting metadata from experiment logs and text files, processing images and uploading these payloads to OMERO servers to create fully annotated, multidimensional datasets. The toolkit comes packaged in portable, platform-independent Docker images that enable users to deploy and run the utilities easily, regardless of Operating System constraints. A selection of use cases is provided, illustrating the primary capabilities and flexibility offered with the toolkit, along with a discussion of limitations and potential future extensions. PyOmeroUpload is available from: https://github.com/SynthSys/pyOmeroUpload .

Modern microscopy is based on reproducible quantitative analysis, image data should be batch-processed by a standardized system that can be shared and easily reused by others. Furthermore, such system should require none or minimal programming from the users. We developed TAPAS (Towards an Automated Processing and Analysis System). The goal is to design an easy system for describing and exchanging processing workflows. The protocols are simple text files comprising a linear list of commands used to process and analyse the images. An extensive set of 60 modules is already available, mostly based on the tools proposed in the 3D ImageJ Suite. We propose a wizard, called TAPAS menu, to help the user design the protocol by listing the available modules and the parameters associated. Most modules will have default parameters values for most common tasks. Once the user has designed the protocol, he/she can apply the protocol to a set of images, that can be either stored locally or on a OMERO database. An extensive documentation including the list of modules, various tutorials and link to the source code is available at https://imagej.net/TAPAS .

Background Knowing the needs of the bioimaging community with respect to research data management (RDM) is essential for identifying measures that enable the adoption of the FAIR (findable, accessible, interoperable, reusable) principles for microscopy and bioimage analysis data across disciplines. As an initiative within Germany's National Research Data Infrastructure, we conducted this community survey in the summer of 2021 to assess the state of the art of bioimaging RDM and the community needs. Methods An online survey was conducted with a mixed question-type design. We created a questionnaire tailored to relevant topics of the bioimaging community, including specific questions on bioimaging methods and bioimage analysis, as well as more general questions on RDM principles and tools. 203 survey entries were included in the analysis covering the perspectives from various life and biomedical science disciplines and from participants at different career levels. Results The results highlight the importance and value of bioimaging RDM and data sharing. However, the practical implementation of FAIR practices is impeded by technical hurdles, lack of knowledge, and insecurity about the legal aspects of data sharing. The survey participants request metadata guidelines and annotation tools and endorse the usage of image data management platforms. At present, OMERO (Open Microscopy Environment Remote Objects) is the best known and most widely used platform. Most respondents rely on image processing and analysis, which they regard as the most time-consuming step of the bioimage data workflow. While knowledge about and implementation of electronic lab notebooks and data management plans is limited, respondents acknowledge their potential value for data handling and publication. Conclusions The bioimaging community acknowledges and endorses the value of RDM and data sharing. Still, there is a need for information, guidance, and standardization to foster the adoption of FAIR data handling. This survey may help inspiring targeted measures to close this gap.

The Open Microscopy Environment Remote Objects (OMERO) is an open source image manager used by many biologists to store, organize, view and share microscopy images, while the open source software ImageJ/Fiji is a very popular program used to analyse them. However, there is a lack of an easy-to-use generic tool to run a workflow on a batch of images without having to download them to local computers; and to automatically organize the results in OMERO. To offer this functionality, we have built three tools in Java language: \"Simple OMERO Client\", a library to communicate with an OMERO database from Java softwares ; an ImageJ/Fiji plugin to run a macro-program on a batch of images from OMERO and \"OMERO Macro extensions\", a dedicated vocabulary to interact with OMERO in macro-programming. The latter is intended for developers, with additional possibilities using tag criteria, while the \"Batch OMERO plugin\" is more geared towards non-IT scientists and has a very easy to use interface. Both tools are illustrated with a use case.

The “good-genes” hypothesis to explain female extra-pair mating states that females benefit from this behavior by acquiring better genes for their offspring. Despite extensive research, results are mixed, and the predictions of the good-genes hypothesis have been met in fewer than half of published papers. One possible explanation for this lack of consensus is that the benefits of extra-pair copulation are context-dependent. Here we use chick size, the probability of fledging, and telomeres, the protective caps of chromosomes, as markers for individual quality. Telomere length (TelL) integrates across many stressors and covaries with probability of survival and reproductive success. To test whether benefits to extra-pair (EP) matings are context-dependent we look at the telomere length of extra-pair and within-pair offspring (EPO and WPO, respectively) reared either in experimentally enlarged broods or in broods left at their natural size. We predicted that EPO would have longer telomeres than WPO, and that this difference would be more pronounced among nutritionally limited nestlings reared in enlarged broods. Contrary to our predictions, EP status did not predict chick size or TelL of nestlings reared in either treatment group. EPO from enlarged broods had a higher probability of fledging than similarly reared WPO, but this effect was only seen after a separate analysis per group and not in the full model. Even though these results give mixed support to the good-genes hypothesis they also highlight the difficulty in choosing the proper metric and context.

Recensiamo il volume di Piero Boitani, Letteratura e verità. Roma: Studium, 2013. Stampa.

This comparative study investigates the epic lineage that can be traced back from Derek Walcott's Omeros and Ezra Pound's Cantos through Dante's Divina Commedia to the epic poems of Virgil and Homer, and identifies and discusses in detail a number of recurrent key topoi. A fresh definition of the concept of genre is worked out and presented, based on readings of Homer. The study reads Pound's and Walcott's poetics in the light of Roman Jakobson's notions of metonymy and metaphor, placing their long poems at the respective opposite ends of these language poles. The notion of 'epic ambition' refers to the poetic prestige attached to the epic genre, whereas the (non-Bloomian) 'anxiety' occurs when the poet faces not only the risk that his project might fail, but especially the moral implications of that ambition and the fear that it might prove presumptuous. The drafts of Walcott's Omeros are here examined for the first time, and attention is also devoted to Pound's creative procedures as illustrated by the drafts of the Cantos. Although there has already been an intermittent critical focus on the 'classical' (and 'Dantean') antecedents of Walcott's poetry, the present study is the first to bring together the whole range of epic intertextualities underlying Omeros, and the first to read this Caribbean masterpiece in the context of Pound's achievement.