Publications by authors named "O Carmona"

Understanding what drives protein abundance is essential to biology, medicine, and biotechnology. Driven by evolutionary selection, an amino acid sequence is tailored to meet the required abundance of a proteome, underscoring the intricate relationship between sequence and functional demand. Yet, the specific role of amino acid sequences in determining proteome abundance remains elusive.

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Background: Patients with multiple sclerosis (MS) have to deal with a variable disease trajectory often associated with disability and productivity loss.

Objective: This study aimed to assess illness-related uncertainty and associated correlates in patients with relapsing-remitting multiple sclerosis (RRMS) beyond the near diagnosis phase.

Methods: We conducted a multicenter, non-interventional study including patients diagnosed with RRMS (2017 revised McDonald criteria) and a disease duration of 3 to 8 years.

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Gasification is a thermochemical process that has gained significant interest in the field of biomass energy conversion. Despite the level of technological maturity of the process, the dynamic variation of the process as a result of changes in both the properties of the gasifying agent and biomass has not been analysed in sufficient depth. Therefore, the present study characterizes the process dynamically as a function of step-type changes in rice husk biomass moisture content and gasifying airflow.

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Purpose: Shared decision-making is critical in multiple sclerosis (MS) due to the uncertainty of the disease trajectory over time and the large number of treatment options with differing efficacy, safety and administration characteristics. The aim of this study was to assess patients' decisional conflict regarding the choice of a disease-modifying therapy and its associated factors in patients with mid-stage relapsing-remitting multiple sclerosis (RRMS).

Methods: A multicenter, non-interventional study was conducted.

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A multicenter study involving 204 adults with relapsing-remitting multiple sclerosis (RRMS) assessed the dimensionality and item characteristics of the Mishel-Uncertainty of Illness Scale (MUIS), a generic self-assessment tool. Mokken analysis identified two dimensions in the MUIS with an appropriate item and overall scale scalability after excluding nonclassifiable items. A refined 12-item MUIS, employing a grade response model, effectively discriminated uncertainty levels among RRMS patients (likelihood ratio test -value = .

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