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Journal articles on the topic 'Localisation workflow'

Author: Grafiati

Published: 10 December 2022

Last updated: 19 July 2025

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1

Massidda, Serenella, and Annalisa Sandrelli. "¡Sub! localisation workflows (th)at work." Translation and Translanguaging in Multilingual Contexts 9, no. 3 (2023): 298–315. http://dx.doi.org/10.1075/ttmc.00115.mas.

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Abstract Over the last few years, cloud-based environments have simplified traditional localisation workflows and have made it possible for virtual teams of audiovisual translation (AVT) professionals to work together from all corners of the earth (Díaz Cintas and Massidda 2019). In addition, AI-powered technologies have been integrated into localisation workflows to accelerate translation processes: this has led to a progressive automation of AVT practices and has created brand new roles for language professionals. This paper presents the preliminary results of the international pilot project

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Breckels, Lisa M., Claire M. Mulvey, Kathryn S. Lilley, and Laurent Gatto. "A Bioconductor workflow for processing and analysing spatial proteomics data." F1000Research 5 (December 28, 2016): 2926. http://dx.doi.org/10.12688/f1000research.10411.1.

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Spatial proteomics is the systematic study of protein sub-cellular localisation. In this workflow, we describe the analysis of a typical quantitative mass spectrometry-based spatial proteomics experiment using the MSnbase and pRoloc Bioconductor package suite. To walk the user through the computational pipeline, we use a recently published experiment predicting protein sub-cellular localisation in pluripotent embryonic mouse stem cells. We describe the software infrastructure at hand, importing and processing data, quality control, sub-cellular marker definition, visualisation and interactive

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Breckels, Lisa M., Claire M. Mulvey, Kathryn S. Lilley, and Laurent Gatto. "A Bioconductor workflow for processing and analysing spatial proteomics data." F1000Research 5 (July 3, 2018): 2926. http://dx.doi.org/10.12688/f1000research.10411.2.

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Spatial proteomics is the systematic study of protein sub-cellular localisation. In this workflow, we describe the analysis of a typical quantitative mass spectrometry-based spatial proteomics experiment using the MSnbase and pRoloc Bioconductor package suite. To walk the user through the computational pipeline, we use a recently published experiment predicting protein sub-cellular localisation in pluripotent embryonic mouse stem cells. We describe the software infrastructure at hand, importing and processing data, quality control, sub-cellular marker definition, visualisation and interactive

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Chashnikova, Ekaterina. "Localisation of promotional materials for pharma." Medical Writing 33, no. 1 (2024): 58–61. http://dx.doi.org/10.56012/ajhl9537.

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Unwarranted changes by the client, lengthy approvals, and multiple rounds of revision – localisation of promotional materials for pharmaceutical companies can become a nightmare if the localisation specialist is unaware of heavy regulations in the industry. The goal of localisation is not only to convey the meaning in the target language, but also to adapt the content for another country or region. When localising promotional materials for the pharmaceutical market, the secret to success lies in placing them in a wider context and accounting for additional factors such as content creation work

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Cornelius, Simon Peter, Jia Jan Ong, Tsung Heng Chiew, Kai Ming Chang, and Yoon Ket Lee. "Autonomous Robot Navigation System Workflow for Monitoring and Maintenance in Industry 4.0 Applications." Journal of Telecommunications and the Digital Economy 12, no. 4 (2024): 85–108. https://doi.org/10.18080/jtde.v12n4.1017.

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Autonomous navigation in factories faces a different challenge with a lack of GPS, frequently changing environment, and human interference. Current methods employed include autonomous guided vehicles, which require extensive setup and lack flexibility, making it unsuitable for frequently changing environments. Prohibiting the adoption of an autonomous mobile robot is the slow mapping time and cost. A method of autonomous navigation combining computer vision with path-planning algorithms is presented. This method uses cameras attached to the environment for navigation and not on the robot to le

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Dai, Peixin, Jingsi Zhang, and Zhitao Shu. "Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction." Applied and Computational Engineering 116, no. 1 (2025): 194–99. https://doi.org/10.54254/2755-2721/2025.20586.

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Accurate identification and localisation of brain tumours from medical images remain challenging due to tumour variability and structural complexity. Convolutional Neural Networks (CNNs), particularly ResNet and Unet, have made significant progress in medical image processing, offering robust capabilities for image segmentation. However, limited research has explored their integration with human-computer interaction (HCI) to enhance usability, interpretability, and clinical applicability. This paper introduces ResUnet++, an advanced hybrid model combining ResNet and Unet++, designed to improve

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Muñoz Sánchez, Pablo. "Video Game Localisation for Fans by Fans." Journal of Internationalization and Localization 1 (January 1, 2009): 168–85. http://dx.doi.org/10.1075/jial.1.07mun.

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The aim of this paper is to show the particularities of the so-called “romhacking”, a methodology developed by amateurs to localise mainly classic video games. In the first section, the concept and origin of the term “romhacking” is presented. The second section offers an overview of the workflow followed by romhackers to localise video games. In the third section, an analysis of the differences between professional and amateur translations is given. The fourth section includes a discussion of the legal aspects of this practice. The paper concludes with a reflection on the impact of amateur tr

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Abdulbaki Alshirbaji, Tamer, Nour Aldeen Jalal, Paul D. Docherty, Thomas Neumuth, and Knut Moeller. "A comparative evaluation of spatial pooling methods for surgical tool detection." Current Directions in Biomedical Engineering 9, no. 1 (2023): 214–17. http://dx.doi.org/10.1515/cdbme-2023-1054.

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Abstract Surgical tool detection is an important aspect for recognising surgical activities and understanding surgical workflow. Laparoscopic videos represent an information source that can be used for recognising surgical tools. However, manual labelling of tool incidence and location in such data is extremely time intensive. Therefore, weaklysupervised approaches have been developed to perform tool localisation. In this study, three types of spatial pooling methods were implemented to evaluate the influence of each method on the performance of weakly-supervised model. The best achieved perfo

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Bondarenko, O. C., and M. S. Nehriienko. "MANAGING THE QUALITY OF MACHINE TRANSLATION POST-EDITING IN THE LOCALISATION WORKFLOW." Research Bulletin Series Philological Sciences, no. 213 (2025): 200–205. https://doi.org/10.32782/2522-4077-2025-213-27.

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Elouaret, Tarek, Sylvain Colomer, Frédéric De Melo, et al. "Implementation of a Bio-Inspired Neural Architecture for Autonomous Vehicles on a Multi-FPGA Platform." Sensors 23, no. 10 (2023): 4631. http://dx.doi.org/10.3390/s23104631.

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Autonomous vehicles require efficient self-localisation mechanisms and cameras are the most common sensors due to their low cost and rich input. However, the computational intensity of visual localisation varies depending on the environment and requires real-time processing and energy-efficient decision-making. FPGAs provide a solution for prototyping and estimating such energy savings. We propose a distributed solution for implementing a large bio-inspired visual localisation model. The workflow includes (1) an image processing IP that provides pixel information for each visual landmark detec

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Flanagan, Keith, Sirintra Nakjang, Jennifer Hallinan, et al. "Microbase2.0: A Generic Framework for Computationally Intensive Bioinformatics Workflows in the Cloud." Journal of Integrative Bioinformatics 9, no. 2 (2012): 101–12. http://dx.doi.org/10.1515/jib-2012-212.

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Summary As bioinformatics datasets grow ever larger, and analyses become increasingly complex, there is a need for data handling infrastructures to keep pace with developing technology. One solution is to apply Grid and Cloud technologies to address the computational requirements of analysing high throughput datasets. We present an approach for writing new, or wrapping existing applications, and a reference implementation of a framework, Microbase2.0, for executing those applications using Grid and Cloud technologies. We used Microbase2.0 to develop an automated Cloud-based bioinformatics work

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Pak, Hui Ying, Hieu Trung Kieu, Weisi Lin, Eugene Khoo, and Adrian Wing-Keung Law. "CoastalWQL: An Open-Source Tool for Drone-Based Mapping of Coastal Turbidity Using Push Broom Hyperspectral Imagery." Remote Sensing 16, no. 4 (2024): 708. http://dx.doi.org/10.3390/rs16040708.

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Uncrewed-Aerial Vehicles (UAVs) and hyperspectral sensors are emerging as effective alternatives for monitoring water quality on-demand. However, image mosaicking for largely featureless coastal water surfaces or open seas has shown to be challenging. Another pertinent issue observed is the systematic image misalignment between adjacent flight lines due to the time delay between the UAV-borne sensor and the GNSS system. To overcome these challenges, this study introduces a workflow that entails a GPS-based image mosaicking method for push-broom hyperspectral images, together with a correction

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Kern, Fabian, Tobias Fehlmann, Jeffrey Solomon, et al. "miEAA 2.0: integrating multi-species microRNA enrichment analysis and workflow management systems." Nucleic Acids Research 48, W1 (2020): W521—W528. http://dx.doi.org/10.1093/nar/gkaa309.

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Abstract Gene set enrichment analysis has become one of the most frequently used applications in molecular biology research. Originally developed for gene sets, the same statistical principles are now available for all omics types. In 2016, we published the miRNA enrichment analysis and annotation tool (miEAA) for human precursor and mature miRNAs. Here, we present miEAA 2.0, supporting miRNA input from ten frequently investigated organisms. To facilitate inclusion of miEAA in workflow systems, we implemented an Application Programming Interface (API). Users can perform miRNA set enrichment an

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Fascia, R., F. Barbieri, F. Gaspari, F. Ioli, and L. Pinto. "FROM 3D SURVEY TO DIGITAL REALITY OF A COMPLEX ARCHITECTURE: A DIGITAL WORKFLOW FOR CULTURAL HERITAGE PROMOTION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W4-2024 (February 14, 2024): 205–12. http://dx.doi.org/10.5194/isprs-archives-xlviii-2-w4-2024-205-2024.

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Abstract. In recent years, the digitalization and dissemination of historical heritage have become crucial nodes in the preservation and valorization of Cultural Heritage (CH). Technologies such as Unmanned Aerial Vehicle (UAV) and terrestrial photogrammetry, Terrestrial Laser Scanning (TLS) and handheld Simultaneous Localisation and Mapping (SLAM) laser scanning allow the generation of digital models of architecture that can be explored through interactive web platforms, such as those based on WebGL graphic library. These are considered one of the most promising innovations for digitizing and

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Holewijn, Rozemarije A., Maarten Bot, Pepijn van den Munckhof, and P. Richard Schuurman. "Implementation of Intraoperative Cone-Beam Computed Tomography (O-arm) for Stereotactic Imaging During Deep Brain Stimulation Procedures." Operative Neurosurgery 19, no. 3 (2020): E224—E229. http://dx.doi.org/10.1093/ons/opaa110.

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Abstract BACKGROUND Intraoperative cone-beam computed tomography (iCBCT) allows for rapid 3-dimensional imaging. However, it is currently unknown whether this imaging technique offers sufficient accuracy for stereotactic registration during deep brain stimulation (DBS) procedures. OBJECTIVE To determine the accuracy of iCBCT, with the O-arm O2 (Medtronic), for stereotactic registration by comparing this modality to stereotactic magnetic resonance imaging (MRI). METHODS All DBS patients underwent a preoperative non-stereotactic 3 Tesla MRI, stereotactic 1.5 Tesla MRI, stereotactic O-arm iCBCT,

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Pang, Lokman, Matthias Ernst, and Jennifer Huynh. "Development of a Multiplex Immunohistochemistry Workflow to Investigate the Immune Microenvironment in Mouse Models of Inflammatory Bowel Disease and Colon Cancer." International Journal of Molecular Sciences 22, no. 20 (2021): 11001. http://dx.doi.org/10.3390/ijms222011001.

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Multiplex immunohistochemistry (mIHC) enables simultaneous staining of multiple immune markers on a single tissue section. Mounting studies have demonstrated the versatility of mIHC in evaluating immune infiltrates in different diseases and the tumour microenvironment (TME). However, the majority of published studies are limited to the analysis of human patient samples. Performing mIHC on formalin-fixed paraffin-embedded (FFPE) mouse tissues, particularly with sensitive antigens, remain challenging. The aim of our study was to develop a robust and reproducible protocol to uncover the immune la

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Aricò, M., M. La Guardia, M. Lo Brutto, E. M. Rappa, and C. Vinci. "MOBILE MAPPING FOR CULTURAL HERITAGE: THE SURVEY OF THE COMPLEX OF ST. JOHN OF THE HERMITS IN PALERMO (ITALY)." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W1-2023 (May 25, 2023): 25–32. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w1-2023-25-2023.

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Abstract. During the 11th and 12th century, the Arab-Norman architectural style characterized the most beautiful and important Cultural Heritage buildings in Sicily, and especially in Palermo (Italy). The relevance of these monuments is highlighted by their inclusion in the UNESCO World Heritage Sites List in 2015. For many years, the University of Palermo has been studying and documenting several Arab-Norman cultural assets, and in particular, the complex of St. John of the Hermits in Palermo (Italy). A first detailed 3D survey of the main structures of this complex was carried out using a te

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Salzano, Francesco, Noemi Martella, Remo Pareschi, and Marco Segatto. "Advancing Biological Research: New Automated Analysis of Immunofluorescence Signals." Applied Sciences 14, no. 7 (2024): 2809. http://dx.doi.org/10.3390/app14072809.

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In recent years, optical imaging and efficient computational approaches have improved the ability to analyse and understand biological phenomena. Immunofluorescence (IF) is a widely used immunochemical technique that provides information about protein localisation and expression levels. However, the manual analysis of IF images can present important limitations, such as operator workload and interpretative bias. Thus, the development of automated tools for IF signal computation is crucial. Several software programs have been proposed to address this challenge, but there is still a need for mor

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Attrill, Grace Heloise, Eva R. Shteinman, Xinyu Bai, et al. "Abstract 2369: Spatial organization of the tumour immune microenvironment (TIME) in primary and metastatic melanoma is associated with patient outcome." Cancer Research 83, no. 7_Supplement (2023): 2369. http://dx.doi.org/10.1158/1538-7445.am2023-2369.

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Abstract Introduction The complex spatial cellular interactions of immune cell populations within the melanoma TIME are associated with patient prognosis and immunotherapy response. Novel multiplex immunofluorescence (mIHC) and spatial analysis techniques enable comprehensive investigation of these interactions. This study aimed to develop an automated spatial analysis workflow for large patient cohorts and to determine immunospatial patterns associated with outcome in patients (pts) with primary melanoma as well as pts with stage III melanoma treated with adjuvant immunotherapy. Methods Two c

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Rozova, Vlada S., Ayad G. Anwer, Anna E. Guller, et al. "Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness." PLOS Computational Biology 17, no. 7 (2021): e1009193. http://dx.doi.org/10.1371/journal.pcbi.1009193.

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Epithelial-mesenchymal transition (EMT) and its reverse process, mesenchymal-epithelial transition (MET), are believed to play key roles in facilitating the metastatic cascade. Metastatic lesions often exhibit a similar epithelial-like state to that of the primary tumour, in particular, by forming carcinoma cell clusters via E-cadherin-mediated junctional complexes. However, the factors enabling mesenchymal-like micrometastatic cells to resume growth and reacquire an epithelial phenotype in the target organ microenvironment remain elusive. In this study, we developed a workflow using image-bas

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Captur, Gabriella, Eloisa Arbustini, Petros Syrris, et al. "Lamin mutation location predicts cardiac phenotype severity: combined analysis of the published literature." Open Heart 5, no. 2 (2018): e000915. http://dx.doi.org/10.1136/openhrt-2018-000915.

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ObjectiveTwo LMNA genotype–phenotype cardiac correlations are reported: first, that cardiac involvement in multisystem laminopathies prevails with mutations upstream of the nuclear localisation signal (NLS); second, that worse outcomes occur with non-missense (compared with missense) mutations. We tested whether LMNA mutation DNA location and mutation subtype can predict phenotype severity in patients with lamin heart disease.MethodsWe used a semantic workflow platform and manual electronic literature search to identify published LMNA mutations with cardiac-predominant phenotype. Hierarchical

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Bolaños García-Escribano, Alejandro, Jorge Díaz-Cintas, and Serenella Massidda. "Subtitlers on the Cloud: The Use of Professional Web-based Systems in Subtitling Practice and Training." Tradumàtica: tecnologies de la traducció, no. 19 (December 31, 2021): 1–21. http://dx.doi.org/10.5565/rev/tradumatica.276.

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The bourgeoning and rapid evolution of cloud-based applications has triggered profound transformations in the audiovisual translation (AVT) mediascape. By drawing attention to the major changes that web-based ecosystems have introduced in localisation workflows, we set out to outline ways in which these new technological advances can be embedded in the AVT classroom. Along these lines, the present study sets out to explore the potential benefits of cloud platforms in AVT training curricula by exploring ways in which this technology can be exploited in subtitling training. An analysis of curren

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Pascovici, Dana, Jemma X. Wu, Matthew J. McKay, et al. "Clinically Relevant Post-Translational Modification Analyses—Maturing Workflows and Bioinformatics Tools." International Journal of Molecular Sciences 20, no. 1 (2018): 16. http://dx.doi.org/10.3390/ijms20010016.

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Post-translational modifications (PTMs) can occur soon after translation or at any stage in the lifecycle of a given protein, and they may help regulate protein folding, stability, cellular localisation, activity, or the interactions proteins have with other proteins or biomolecular species. PTMs are crucial to our functional understanding of biology, and new quantitative mass spectrometry (MS) and bioinformatics workflows are maturing both in labelled multiplexed and label-free techniques, offering increasing coverage and new opportunities to study human health and disease. Techniques such as

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Menezes, Rita. "Subtitling revisers as agents of change in audiovisual workflows." Cadernos de Tradução 45, Special Issue 2 (2025): 1–22. https://doi.org/10.5007/2175-7968.2025.e106826.

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This study explores the pivotal role of subtitling revisers in audiovisual workflows, focusing on how their subjective decisions influence textual quality, cultural relevance, and collaborative dynamics among subtitlers, project managers, clients, and audiences. Grounded in data collected from an experiment involving nine Portuguese professional subtitling revisers, the research provides unique insights into their practices and attitudes. The findings reveal that subtitling revisers navigate complex decisions shaped by their professional expertise, emotional responses, and lived experiences. T

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Калинин, А. Ю. "Genre parameters of adequate translation in audiovisual media." Иностранные языки в высшей школе, no. 3(66) (October 24, 2023): 47–60. http://dx.doi.org/10.37724/rsu.2023.66.3.006.

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На основе критического анализа гетерогенных подходов к определению содержания понятий «адекватность перевода», «переводческая норма», «аудиовизуальный жанр» в статье постулируется ряд гипотез, касающихся вопросов оценивания качества перевода в аудиовизуальных массмедиа. Адекватность рассматривается не только как факт соблюдения в процессе и результате перевода прескриптивных эквивалентностных, стилистических и прагматических норм, но и как интегральная характеристика текста и формы предъявления перевода реципиентам, ключевым параметром которой выступает соответствие переводного контента предпо

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Masset, Heleen, Masoud Zamani Esteki, Eftychia Dimitriadou, et al. "Multi-centre evaluation of a comprehensive preimplantation genetic test through haplotyping-by-sequencing." Human Reproduction 34, no. 8 (2019): 1608–19. http://dx.doi.org/10.1093/humrep/dez106.

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Abstract STUDY QUESTION Can reduced representation genome sequencing offer an alternative to single nucleotide polymorphism (SNP) arrays as a generic and genome-wide approach for comprehensive preimplantation genetic testing for monogenic disorders (PGT-M), aneuploidy (PGT-A) and structural rearrangements (PGT-SR) in human embryo biopsy samples? SUMMARY ANSWER Reduced representation genome sequencing, with OnePGT, offers a generic, next-generation sequencing-based approach for automated haplotyping and copy-number assessment, both combined or independently, in human single blastomere and troph

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Bolanos-Garcia-Escribano, Alejandro. "Editing machine-generated subtitle templates: A situated subtitler training experience." Cadernos de Tradução 43, no. 1 (2023): 1–30. http://dx.doi.org/10.5007/2175-7968.2023.e93050.

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Automation technologies have altered media localisation workflows as much as practitioners’ workstations and habits. Subtitling systems and streaming services now often integrate built-in automatic speech recognition (ASR) engines, sometimes even combined with machine translation engines, to produce subtitles from audio tracks. The rise of post-editors in the audiovisual translation (AVT) sector, specifically subtitling, has been a reality for some time, thus triggering the need for up-to-date training methods and academic curricula. This article examines the uses and applications of editing p

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Bolaños-García-Escribano, Alejandro. "Untapping the potential of cloud subtitling in audiovisual translator education: A pilot study." Cadernos de Tradução 44, esp. 1 (2024): 1–23. http://dx.doi.org/10.5007/2175-7968.2024.e93727.

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This paper examines the potential of cloud technologies in audiovisual translator education with a particular emphasis on cloud subtitling. The fast-growing global demand for multimedia content has recently led to the significant growth of audiovisual translation (AVT) as both a professional avenue and an academic discipline (Díaz-Cintas, 2019). Developments in cloud computing have profoundly altered work in the language and translation industries in general and media localisation workflows in particular (Díaz-Cintas & Massidda, 2019). The market’s leading stakeholders are currently exploi

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Goodall, Simon K., and Peter L. Rampant. "Initial end-to-end testing of the ExacTrac dynamic deep inspiration breath hold workflow using a breath hold breast phantom." Physical and Engineering Sciences in Medicine, June 22, 2023. http://dx.doi.org/10.1007/s13246-023-01291-y.

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AbstractExacTrac Dynamic (ETD) provides a Deep Inspiration Breath Hold (DIBH) workflow for breast patients. Stereoscopic x-ray imaging combined with optical and thermal mapping allows localisation against simulation imaging, alongside surface guided breath hold monitoring. This work aimed to determine appropriate imaging parameters, the optimal Hounsfield Unit (HU) threshold for patient contour generation and workflow evaluation via end-to-end (E2E) positioning using a custom breast DIBH phantom. After localisation via existing Image Guidance (IG), stereoscopic imaging was performed with a ran

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Scott, Conor J. R., Daniel R. Leadbeater, and Neil C. Bruce. "A bioinformatic workflow for in silico secretome prediction with the lignocellulose degrading ascomycete fungus Parascedosporium putredinis NO1." Molecular Microbiology, August 30, 2023. http://dx.doi.org/10.1111/mmi.15144.

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AbstractThe increasing availability of microbial genome sequences provides a reservoir of information for the identification of new microbial enzymes. Genes encoding proteins engaged in extracellular processes are of particular interest as these mediate the interactions microbes have with their environments. However, proteomic analysis of secretomes is challenging and often captures intracellular proteins released through cell death and lysis. Secretome prediction workflows from sequence data are commonly used to filter proteins identified through proteomics but are often simplified to a singl

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Boland, Miguel A., Jonathan P. E. Lightley, Edwin Garcia, et al. "Model‐free machine learning‐based 3D single molecule localisation microscopy." Journal of Microscopy, May 8, 2025. https://doi.org/10.1111/jmi.13420.

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AbstractSingle molecule localisation microscopy (SMLM) can provide two‐dimensional super‐resolved image data from conventional fluorescence microscopes, while three dimensional (3D) SMLM usually involves a modification of the microscope, for example, to engineer a predictable axial variation in the point spread function. Here we demonstrate a 3D SMLM approach (we call ‘easyZloc') utilising a lightweight Convolutional Neural Network that is generally applicable, including with ‘standard’ (unmodified) fluorescence microscopes, and which we consider may be practically useful in a high throughput

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Luchian, Andreea, and Lorenzo Ressel. "Combined Colour Deconvolution and Artificial Intelligence approach for region‐selective immunohistochemical labelling quantification. The example of alpha Smooth Muscle Actin in mouse kidney." Journal of Biophotonics, October 25, 2023. http://dx.doi.org/10.1002/jbio.202300244.

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AbstractImmunohistochemical (IHC) localisation of protein expression is a widely used tool in pathology. This is semi‐quantitative and exhibits substantial intra‐and inter‐observer variability. Digital approaches based on stain quantification applied to IHC are precise but still operator‐dependent and time‐consuming when regions of interest (ROIs) must be defined to quantify protein expression in a specific tissue area. This study aimed at developing an IHC quantification workflow that benefits from colour deconvolution for stain quantification and artificial intelligence for automatic ROI def

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Massidda, Serenella. "Disruptive AVT workflows in the age of streaming." Target. International Journal of Translation Studies, August 24, 2023. http://dx.doi.org/10.1075/target.00021.mas.

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Abstract In the last decade, media industries have witnessed a shift in the way audiovisual content is localised, broadcast, and consumed by multifaceted audiences: from traditional linear TV to subscription video-on-demand (SVOD) services. While this major shift has been well-documented by media studies scholars (Lotz 2014; Lobato 2017a, 2017b; Storstein Spilker and Colbjørnsen 2020), the overall effect it has had on audiovisual translation (AVT) is relatively under-researched within Translation Studies. Hence, this article aims to delve into the current state of the art of AVT within a media

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Ninno, Federica, Catriona Stokes, Edouard Aboian, et al. "In Silico, Patient-Specific Assessment of Local Hemodynamic Predictors and Neointimal Hyperplasia Localisation in an Arteriovenous Graft." Annals of Biomedical Engineering, May 7, 2025. https://doi.org/10.1007/s10439-025-03737-8.

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Abstract Purpose Most computational fluid dynamics (CFD) studies on arteriovenous grafts (AVGs) adopt idealised geometries and simplified boundary conditions (BCs), potentially resulting in misleading conclusions when attempting to predict neointimal hyperplasia (NIH) development. Moreover, they often analyse a limited range of hemodynamic indices, lack verification, and fail to link the graft-altered hemodynamics with follow-up data. This study develops a novel patient-specific CFD workflow for AVGs using pathophysiological BCs. It verifies the CFD results with patient medical data and assess

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Franek, Michal, Lenka Koptašíková, Jíří Mikšátko, et al. "In-section Click-iT detection and super-resolution CLEM analysis of nucleolar ultrastructure and replication in plants." Nature Communications 15, no. 1 (2024). http://dx.doi.org/10.1038/s41467-024-46324-6.

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AbstractCorrelative light and electron microscopy (CLEM) is an important tool for the localisation of target molecule(s) and their spatial correlation with the ultrastructural map of subcellular features at the nanometre scale. Adoption of these advanced imaging methods has been limited in plant biology, due to challenges with plant tissue permeability, fluorescence labelling efficiency, indexing of features of interest throughout the complex 3D volume and their re-localization on micrographs of ultrathin cross-sections. Here, we demonstrate an imaging approach based on tissue processing and e

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D’Ettorre, Claudia, Agostino Stilli, George Dwyer, Maxine Tran, and Danail Stoyanov. "Autonomous pick-and-place using the dVRK." International Journal of Computer Assisted Radiology and Surgery, May 15, 2021. http://dx.doi.org/10.1007/s11548-021-02397-y.

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Abstract Purpose Robotic-assisted partial nephrectomy (RAPN) is a tissue-preserving approach to treating renal cancer, where ultrasound (US) imaging is used for intra-operative identification of tumour margins and localisation of blood vessels. With the da Vinci Surgical System (Sunnyvale, CA), the US probe is inserted through an auxiliary access port, grasped by the robotic tool and moved over the surface of the kidney. Images from US probe are displayed separately to the surgical site video within the surgical console leaving the surgeon to interpret and co-registers information which is cha

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Holewijn, Rozemarije A., Maarten Bot, den Munckhof Pepijn van, and P. Richard Schuurman. "Implementation of Intraoperative Cone-Beam Computed Tomography (O-arm) for Stereotactic Imaging During Deep Brain Stimulation Procedures." Operative Neurosurgery, May 11, 2020. https://doi.org/10.1093/ons/opaa110.

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Abstract BACKGROUND Intraoperative cone-beam computed tomography (iCBCT) allows for rapid 3-dimensional imaging. However, it is currently unknown whether this imaging technique offers sufficient accuracy for stereotactic registration during deep brain stimulation (DBS) procedures. OBJECTIVE To determine the accuracy of iCBCT, with the O-arm O2 (Medtronic), for stereotactic registration by comparing this modality to stereotactic magnetic resonance imaging (MRI). METHODS All DBS patients underwent a preoperative non-stereotactic 3 Tesla MRI, stereotactic 1.5 Tesla MRI, stereotactic O-arm iCBCT,

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Dumoux, Maud, Thomas Glen, Jake LR Smith, et al. "Cryo-plasma FIB/SEM volume imaging of biological specimens." eLife 12 (February 21, 2023). http://dx.doi.org/10.7554/elife.83623.

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Serial focussed ion beam scanning electron microscopy (FIB/SEM) enables imaging and assessment of sub-cellular structures on the mesoscale (10 nm to 10 µm). When applied to vitrified samples, serial FIB/SEM is also a means to target specific structures in cells and tissues while maintaining constituents' hydration shells for in-situ structural biology downstream. However, the application of serial FIB/SEM imaging of non-stained cryogenic biological samples is limited due to low contrast, curtaining, and charging artefacts. We address these challenges using a cryogenic plasma FIB/SEM (cryo-pFIB

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Planchette, Arielle Louise, Cédric Schmidt, Olivier Burri, et al. "Optical imaging of the small intestine immune compartment across scales." Communications Biology 6, no. 1 (2023). http://dx.doi.org/10.1038/s42003-023-04642-3.

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AbstractThe limitations of 2D microscopy constrain our ability to observe and understand tissue-wide networks that are, by nature, 3-dimensional. Optical projection tomography (OPT) enables the acquisition of large volumes (ranging from micrometres to centimetres) in various tissues. We present a multi-modal workflow for the characterization of both structural and quantitative parameters of the mouse small intestine. As proof of principle, we evidence its applicability for imaging the mouse intestinal immune compartment and surrounding mucosal structures. We quantify the volumetric size and sp

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Spiteri Miggiani, Giselle. "Exploring Applied Strategies for English-Language Dubbing." Journal of Audiovisual Translation 4, no. 1 (2021). http://dx.doi.org/10.47476/jat.v4i1.2021.166.

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The sudden boom of non-English language content on popular streaming platforms has obliged media localisation companies to react and adapt quickly to provide the market with English dubbing lip-synch services. This comes with several challenges due to the absence of a long-established English dubbing tradition and professional practice, as well as the lack of consolidated norms and conventions, or a textual repertoire to act as a point of reference. This paper builds on a prior theoretical study (Spiteri Miggiani, 2021) that seeks to identify potential norms as well as challenges in English-la

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Safdar, Saima, Benjamin F. Zwick, Yue Yu, et al. "SlicerCBM: automatic framework for biomechanical analysis of the brain." International Journal of Computer Assisted Radiology and Surgery, April 1, 2023. http://dx.doi.org/10.1007/s11548-023-02881-7.

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Abstract Purpose Brain shift that occurs during neurosurgery disturbs the brain’s anatomy. Prediction of the brain shift is essential for accurate localisation of the surgical target. Biomechanical models have been envisaged as a possible tool for such predictions. In this study, we created a framework to automate the workflow for predicting intra-operative brain deformations. Methods We created our framework by uniquely combining our meshless total Lagrangian explicit dynamics (MTLED) algorithm for computing soft tissue deformations, open-source software libraries and built-in functions withi

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Rueda‐Uribe, Cristina, Alyssa J. Sargent, María Ángela Echeverry‐Galvis, et al. "Tracking Small Animals in Complex Landscapes: A Comparison of Localisation Workflows for Automated Radio Telemetry Systems." Ecology and Evolution 14, no. 10 (2024). http://dx.doi.org/10.1002/ece3.70405.

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ABSTRACTAutomated radio telemetry systems (ARTS) have the potential to revolutionise our understanding of animal movement by providing a near‐continuous record of individual locations in the wild. However, localisation errors in ARTS data can be very high, especially in natural landscapes with complex vegetation structure and topography. This curtails the research questions that may be addressed with this technology. We set up an ARTS grid in a valley with heterogeneous vegetation cover in the Colombian high Andes and applied an analytical pipeline to test the effectiveness of localisation met

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Fernández-Campón, Julian. "IMF-compliant media asset management and workflows." Journal of Digital Media Management, March 1, 2018. http://dx.doi.org/10.69554/jjps3266.

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As Hollywood leads the world in adopting the Interoperable Master Format (IMF) for media distribution, there are measurable financial and operational benefits of embracing the IMF methodologies in the underlying database and workflows of an enterprise media asset management system for versioning and localisation operations. This paper, drawn from a 2017 Society of Motion Pictures and Television Engineering presentation and technical paper, addresses the practical requirements of full support for end-to-end IMF workflows and indicates where efficiencies and savings can be maximised.

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Mayer, J., J. Al-Sheikhli, M. Niespialowska-Steuden, et al. "Determining the optimal electrogram signal annotation method to enhance functional Ventricular Tachycardia substrate identification with decremental evoked potential (DeEP) mapping." Europace 27, Supplement_1 (2025). https://doi.org/10.1093/europace/euaf085.119.

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Abstract Background/Introduction Decremental evoked potential (DeEP) mapping has previously been shown to be more specific in defining the critical isthmus in scar-related VT than conventional late potential mapping. The DeEP mapping approach has previously been optimised by defining the degree of decrement and extra-stimulus coupling interval that improves the diagnostic performance. Accurate electrogram (EGM) potential annotation of the EGM onset and EGM offset to define the EGM duration is critical in defining the degree of decrement. Multiple methods in signal annotation exist specifically

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Schnider, Eva, Julia Wolleb, Antal Huck, et al. "Improved distinct bone segmentation in upper-body CT through multi-resolution networks." International Journal of Computer Assisted Radiology and Surgery, June 20, 2023. http://dx.doi.org/10.1007/s11548-023-02957-4.

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Abstract Purpose Automated distinct bone segmentation from CT scans is widely used in planning and navigation workflows. U-Net variants are known to provide excellent results in supervised semantic segmentation. However, in distinct bone segmentation from upper-body CTs a large field of view and a computationally taxing 3D architecture are required. This leads to low-resolution results lacking detail or localisation errors due to missing spatial context when using high-resolution inputs. Methods We propose to solve this problem by using end-to-end trainable segmentation networks that combine s

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Tuominen, Tiina. "User-Centred Subtitling." Journal of Audiovisual Translation 8, no. 1 (2025). https://doi.org/10.47476/jat.v8i1.2025.379.

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The audience’s perspective is often prominent in evaluating subtitle quality, with concepts such as readability being used as assessment criteria. In audiovisual translation research, reception studies have become a visible presence. Understanding the audience is thus clearly central for both research and practice, but information on actual audience preferences does not always filter through to subtitling practice or to quality assessment. Therefore, there seems to be a need for a model that could support the existing audience orientation and make the audience’s perspective a consistent consid

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