25 research outputs found

    Failure to Detect the Novel Retrovirus XMRV in Chronic Fatigue Syndrome

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    BACKGROUND:In October 2009 it was reported that 68 of 101 patients with chronic fatigue syndrome (CFS) in the US were infected with a novel gamma retrovirus, xenotropic murine leukaemia virus-related virus (XMRV), a virus previously linked to prostate cancer. This finding, if confirmed, would have a profound effect on the understanding and treatment of an incapacitating disease affecting millions worldwide. We have investigated CFS sufferers in the UK to determine if they are carriers of XMRV. METHODOLOGY:Patients in our CFS cohort had undergone medical screening to exclude detectable organic illness and met the CDC criteria for CFS. DNA extracted from blood samples of 186 CFS patients were screened for XMRV provirus and for the closely related murine leukaemia virus by nested PCR using specific oligonucleotide primers. To control for the integrity of the DNA, the cellular beta-globin gene was amplified. Negative controls (water) and a positive control (XMRV infectious molecular clone DNA) were included. While the beta-globin gene was amplified in all 186 samples, neither XMRV nor MLV sequences were detected. CONCLUSION:XMRV or MLV sequences were not amplified from DNA originating from CFS patients in the UK. Although we found no evidence that XMRV is associated with CFS in the UK, this may be a result of population differences between North America and Europe regarding the general prevalence of XMRV infection, and might also explain the fact that two US groups found XMRV in prostate cancer tissue, while two European studies did not

    International market entry:How do small and medium-sized enterprises make decisions?

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    Choosing the right international market entry mode is of utmost importance for an internationalizing firm. However, there is a lack of analysis concerning the decision-making process (DMP), specifically with regard to small and mediumsized enterprises (SMEs). The authors study the DMP among SMEs intent on entering international markets and how it affects each firm’s international market development strategy. Using six cases based in Finland and Italy, the authors develop a model of the SME DMP. Their results imply that the DMP evolves and goes through various phases. By focusing on the postentry phase, this study enhances knowledge on decision-making frameworks by linking the traditional international marketing literature related to initial entry mode with “mainstream” international business literature. Furthermore, the study reveals that SMEs adopting a more rational DMP are more likely to succeed in foreign markets, and consequently, it demonstrates the importance of real options reasoning as a theoretical lens for making entry mode decisions in the context of SMEs

    Language Model Applications to Spelling with Brain-Computer Interfaces

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    Within the Ambient Assisted Living (AAL) community, Brain-Computer Interfaces (BCIs) have raised great hopes as they provide alternative communication means for persons with disabilities bypassing the need for speech and other motor activities. Although significant advancements have been realized in the last decade, applications of language models (e.g., word prediction, completion) have only recently started to appear in BCI systems. The main goal of this article is to review the language model applications that supplement non-invasive BCI-based communication systems by discussing their potential and limitations, and to discern future trends. First, a brief overview of the most prominent BCI spelling systems is given, followed by an in-depth discussion of the language models applied to them. These language models are classified according to their functionality in the context of BCI-based spelling: the static/dynamic nature of the user interface, the use of error correction and predictive spelling, and the potential to improve their classification performance by using language models. To conclude, the review offers an overview of the advantages and challenges when implementing language models in BCI-based communication systems when implemented in conjunction with other AAL technologies
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