15 research outputs found

    Can pacing self-management alter physical behaviour and symptom severity in chronic fatigue syndrome? : a case series

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    Given the lack of evidence in support of pacing self-management for patients with chronic fatigue syndrome (CFS), we examined whether physical behavior and health status of patients with CFS Would improve in response to a pacing self-management program. We performed an observational study of pacing self-management in seven CFS patients using a single-case study design. Stages A1 and A2 (7-day assessment periods) of the A1-B-A2 design corresponded to the baseline and posttreatment measurements of physical behavior (real-time activity monitoring) and health status (self-reported measures), respectively. Stage B (3 weeks of treatment) consisted of three individual treatment sessions of pacing self-management. When comparing pre- versus posttreatment data, we found that the patients' ability to perform daily activities and the severity of their symptom complexes were improved (p = 0.043). Concentration difficulties, mood swings, muscle weakness, and intolerance to bright light improved as well. A statistically significant decrease in the mean time spent doing light activity (<3 metabolic equivalents) was observed, but a change in the way physical activity was spread throughout the day was not. We found that 3 weeks of pacing self-management was accompanied by a modest improvement in symptom severity and daily functioning. The outcome of the present study calls for a randomized controlled clinical trial to examine the effectiveness of pacing self-management for people with CFS

    Improving the translation environment for professional translators

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    When using computer-aided translation systems in a typical, professional translation workflow, there are several stages at which there is room for improvement. The SCATE (Smart Computer-Aided Translation Environment) project investigated several of these aspects, both from a human-computer interaction point of view, as well as from a purely technological side. This paper describes the SCATE research with respect to improved fuzzy matching, parallel treebanks, the integration of translation memories with machine translation, quality estimation, terminology extraction from comparable texts, the use of speech recognition in the translation process, and human computer interaction and interface design for the professional translation environment. For each of these topics, we describe the experiments we performed and the conclusions drawn, providing an overview of the highlights of the entire SCATE project

    Association of C-MYC amplification with progression from the in situ to the invasive stage in C-MYC-amplified breast carcinomas

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    Human carcinoma in situ of the breast already demonstrates genomic changes found in invasive lesions. However, no specific genetic alterations have previously been identified that are associated with progression from the in situ to the invasive stage. By comparative genomic hybridization (CGH) and fluorescence in situ hybridization (FISH) analysis of an invasive breast carcinoma with a large associated in situ component, high-level amplification of C-MYC was found in the invasive component only. To determine the frequency of this correlation in a panel of 188 invasive breast carcinomas, 18 additional cases with C-MYC amplification were identified. Nine of these cases had a detectable adjacent in situ component. FISH analysis demonstrated increased (>5) C-MYC signals per nucleus in seven invasive components and increased (>4) C-MYC/centromere 8 signal ratios in five of these. None of the associated in situ components demonstrated these increases. The minimal amplified region was defined at 8q24.13-8qter. C-MYC amplification was correlated with overexpression of C-MYC and two of its target genes, TERT and FBL. Thus, C-MYC amplification is the first identified genetic alteration that is associated with progression from the in situ to the invasive stage of breast carcinom

    SCATE – Smart Computer-Aided Translation Environment – Year 3 (/4)

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    Vandeghinste V., Vanallemeersch T., Augustinus L., Van Eynde F., Pelemans J., Verwimp L., Wambacq P., Heyman G., Moens M.-F., van der Lek-Ciudin I., Steurs F., Rigouts Terryn A., Lefever E., Tezcan A., Macken L., Coppers S., Van den Bergh J., Luyten K., Coninx K., ''SCATE – Smart Computer-Aided Translation Environment – Year 3 (/4)'', 20th annual conference of the European Association for Machine Translation - EAMT 2017, May 28-31, 2017, Prague, Czech Republic (accepted).status: publishe

    Smart Computer-Aided Translation Environment (SCATE): Highlights

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    Vandeghinste V., Vanallemeersch T., Bulté B., Augustinus L., Van Eynde F., Pelemans J., Verwimp L., Wambacq P., Heyman G., Moens M.-F., van der Lek-Ciudin I., Steurs F., Rigouts Terryn A., Lefever E., Tezcan A., Macken L., Coppers S., Brulmans J., Van den Bergh J., Luyten K., Coninx K., ''The SCATE project: Highlights'', 21st annual conference of the European Association for Machine Translation - EAMT 2018, May 28-30, 2018, Alicante, Spain (accepted).status: publishe
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