No abstract
Artificial intelligence-grounded machine translation has fundamentally changed public awareness and attitudes towards multilingual communication. In some language pairs, the accuracy, quality and efficiency of machine-translated texts of certain types can be quite high. Hence, the end-user acceptability and reliance on machine-translated content could be justified. However, machine translation in small and/or low-resource languages might yield significantly lower quality, which in turn may lead to potentially negative consequences and risks if machine translation is used in high-risk contexts without awareness of the drawbacks, critical assessment and modifications to the raw output. The current study, which is part of a more extensive project focusing on the societal impact of machine translation, is aimed at revealing the attitudes towards usability and quality as perceived from the end-user perspective. The research questions addressed revolve around the machine translation types used, purposes of using machine translation, perceived quality of the generated output, and actions taken to improve the quality by users with various backgrounds. The research findings rely on a survey of the population (N = 402) conducted in 2021 in Lithuania. The study reveals the frequent use of machine translation for a diversity of purposes. The most common uses include work, research and studies, and household environments. A higher level of education correlates with user dissatisfaction with the generated quality and actions taken to improve it. The findings also reveal that age correlates with the use of machine translation. Sustainable measures to reduce machine translation related risks have to be established based on the perceptions of different social groups in different societies and cultures.
To compare the retinal vasculature of septic patients with age-matched healthy volunteers. This is a single-centre prospective observational study from January 2018 to May 2019 in a third-level ICU. We performed a single fundus imaging using a hand-held digital fundus camera in patients with sepsis or septic shock (n = 40) during the first 24 h after ICU admission and compared these data with age-matched healthy controls (n = 20). Semi-automated image analysis was performed. The average retinal arteriolar and venular caliber were calculated and summarized as the central retinal arteriolar equivalent (CRAE) and central retinal venular equivalent (CRVE). Arteriole:venular ratio (AVR) was defined as the ratio of CRAE:CRVE. The vascular length density of segmented retinal vessels was = defined as the skeletonized vessel area/total area × 100%. Median CRAE of septic patients was significantly higher in comparison to healthy controls (165[149-187] vs. 146[142-158] µm, p = 0.002). However, median CRVE and AVR of septic patients did not differ with healthy controls (247[223-282] vs. 244[215-272], p = 0.396 and 0.64[0.58-0.74] vs. 0.61[0.55-0.68], p = 0.145) respectively. Patients with sepsis showed a significant decrease in retinal vascular length density compared with healthy subjects (p < 0.001). Retinal observation using a hand-held fundus imaging device showed signs of arteriolar vasodilation with decreased vascular density in septic patients in comparison to healthy controls.
Purpose The purpose of this paper is to investigate the influence of geometrical microstructure of items obtained by applying a three-dimensional (3D) printing technology on their mechanical strength. Design/methodology/approach Three-dimensional printed items (3DPI) are composite structures of complex internal constitution. The buildup of the finite element (FE) computational models of 3DPI is based on a multi-scale approach. At the micro-scale, the FE models of representative volume elements corresponding to different additive layer heights and different thicknesses of extruded fibers are investigated to obtain the equivalent non-linear nominal stress–strain curves. The obtained results are used for the creation of macro-scale FE models, which enable to simulate the overall structural response of 3D printed samples subjected to tensile and bending loads. Findings The validation of the models was performed by comparing the computed results against the experimental ones, where satisfactory agreement has been demonstrated within a marked range of thicknesses of additive layers. Certain inadequacies between computed against experimental results were observed in cases of thinnest and thickest additive layers. The principle explanation of the reasons of inadequacies takes into account the poorer quality of mutual adhesion in case of very thin extruded fibers and too-early solidification effect. Originality/value Flexural and tensile experiments are simulated by FE models that are created with consideration to microstructure of 3D printed samples.
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