The Distributed Ontology Language (DOL): Use Cases, Syntax, and Extensibility

The Distributed Ontology Language (DOL) is currently being standardized within the OntoIOp (Ontology Integration and Interoperability) activity of ISO/TC 37/SC 3. It aims at providing a unified framework for (1) ontologies formalized in heterogeneous logics, (2) modular ontologies, (3) links between ontologies, and (4) annotation of ontologies. This paper presents the current state of DOL's standardization. It focuses on use cases where distributed ontologies enable interoperability and reusability. We demonstrate relevant features of the DOL syntax and semantics and explain how these integrate into existing knowledge engineering environments.Comment: Terminology and Knowledge Engineering Conference (TKE) 2012-06-20 to 2012-06-21 Madrid, Spai

Pharmacokinetics and metabolism of idebenone in healthy male subjects

Purpose: Idebenone is a synthetic analogue of ubiquinone that may be beneficial in the treatment of Friedreich's ataxia. Since in previous pharmacokinetic trials only lower doses were studied, it was the aim of this study to evaluate the pharmacokinetics of idebenone in higher doses of up to 2,250mg/day. Methods: In this open, randomized trial, 25 healthy male subjects received first either a single oral dose of 150mg or 750mg of idebenone, then the same dose given at 8-h intervals for 14days. Results: Idebenone and its metabolites appeared in the plasma quickly. Over 99% of parent idebenone was metabolized, indicating a high first-pass effect. Cmax and AUC0−t values for parent idebenone and its metabolites increased in a dose-proportional manner. There was virtually no accumulation of parent drug or metabolites following multiple dosing. Conclusions: Idebenone exhibited dose-dependent pharmacokinetics in daily doses up to 2,250mg. In 6/14 subjects, adverse events of mild to moderate severity were observe

Spreading recruitment over time to cope with environmental variability

10 paginas, 3 figuras, 2 tablas.-- El PDF es la versión de autor.Seedling establishment is one of the most vulnerable life cycle stages, and a key component for the population dynamics in short-lived plants. In unpredictable environments, timing of emergence is critical for the success of plant performance, and different adaptive bet-hedging strategies have evolved to reduce the risk of failure in recruitment. In this study we describe the spatio-temporal pattern of seedling emergence (overall rate and timing) and survival in four contrasting Mediterranean habitats for Plantago coronopus, a small herb with dimorphic seeds. We then explore the importance of spreading germination within years, as well as the role of the two types of seeds from a broader temporal perspective. Populations strongly differed for all recruitment components analyzed in a given year, but this spatial differentiation diluted when a longer period was considered. Apical (smaller) seeds germinated later and in a significantly lower proportion than basal (larger) seeds. Both late emergents and seedlings from apical seeds had lower survival probability in a rainy year. However, our results suggest that in a population having the lowest production of apical seeds, late emergents coming from apical seeds may constitute a large fraction of yearly recruitment and that their performance was non-significantly different from that of early emergents over the 4-year study period. This study provides evidence of the importance of two related traits (spreading seedling emergence through time by producing dimorphic seeds) as bet-hedging strategies to cope with environmental unpredictability. This is at least partly accomplished by increasing the potential of recruitment in favourable years, instead of buffering such important process in extremely bad years.This study was funded by the Spanish Ministry of Science, under projects BOS2002-01162 and CGL2006-08507 to MBG.Peer reviewe

Proof Support for Common Logic

We present an extension of the Heterogeneous Tool Set HETS that enables proof support for Common Logic. This is achieved via logic translations that relate Common Logic and some of its sublogics to already supported logics and automated theorem proving systems. We thus provide the first full theorem proving support for Common Logic, including the possibility of verifying meta-theoretical relationships between Common Logic theories

Derivation and validation of a prediction model to establish nursing-sensitive quality benchmarks in medical inpatients : a secondary data analysis of a prospective cohort study

Background: Hospitals are using nursing-sensitive outcomes (NSOs) based on administrative data to measure and benchmark quality of nursing care in acute care wards. In order to facilitate comparisons between different hospitals and wards with heterogeneous patient populations, proper adjustment procedures are required. In this article, we first identify predictors for common NSOs in acute medical care of adult patients based on administrative data. We then develop and cross-validate an NSO-oriented prediction model. Methods: We used administrative data from seven hospitals in Switzerland to derive prediction models for each of the following NSO: hospital-acquired pressure ulcer (≥stage II), hospital-acquired urinary tract infection, non-ventilator hospital-acquired pneumonia and in-hospital mortality. We used a split dataset approach by performing a random 80:20 split of the data into a training set and a test set. We assessed discrimination of the models by area under the receiver operating characteristic curves. Finally, we used the validated models to establish a benchmark between the participating hospitals. Results: We considered 36,149 hospitalisations, of which 51.9% were male patients with a median age of 73 years (with an interquartile range of 59–82). Age and length of hospital stay were independently associated with all four NSOs. The derivation and validation models showed a good discrimination in the training (AUC range: 0.75–0.84) and in the test dataset (AUC range:0.77–0.81), respectively. Variation among different hospitals was relevant considering the risk for hospital-acquired pressure ulcer (≥ stage II) (adjusted Odds ratio [aOR] range: 0.51 [95% CI: 0.38–0.69] – 1.65 [95% CI:1.33–2.04]), the risk for hospital-acquired urinary tract infection infection (aOR range: 0.46 [95% CI: 0.36–0.58] – 1.45 [95% CI: 1.31–1.62]), the risk for non-ventilator hospital-acquired pneumonia (aOR range: 0.28 [95% CI: 0.09–0.89] – 2.87 [95% CI: 2.27–3.64]), and the risk for in-hospital mortality (aOR range: 0.45 [95% CI: 0.36–0.56] – 1.39 [95% CI: 1.23–1.60]). Conclusion: The application of risk adjustment when comparing nursing care quality is crucial and enables a more objective assessment across hospitals or wards with heterogeneous patient populations. This approach has potential to establish a set of benchmarks that could allow comparison of outcomes and quality of nursing care between different hospitals and wards

Association of Interprofessional Discharge Planning Using an Electronic Health Record Tool With Hospital Length of Stay Among Patients with Multimorbidity: A Nonrandomized Controlled Trial

Whether interprofessional collaboration is effective and safe in decreasing hospital length of stay remains controversial.; To evaluate the outcomes and safety associated with an electronic interprofessional-led discharge planning tool vs standard discharge planning to safely reduce length of stay among medical inpatients with multimorbidity.; This multicenter prospective nonrandomized controlled trial used interrupted time series analysis to examine medical acute hospitalizations at 82 hospitals in Switzerland. It was conducted from February 2017 through January 2019. Data analysis was conducted from March 2021 to July 2022.; After a 12-month preintervention phase (February 2017 through January 2018), an electronic interprofessional-led discharge planning tool was implemented in February 2018 in 7 intervention hospitals in addition to standard discharge planning.; Mixed-effects segmented regression analyses were used to compare monthly changes in trends of length of stay, hospital readmission, in-hospital mortality, and facility discharge after the implementation of the tool with changes in trends among control hospitals.; There were 54 695 hospitalizations at intervention hospitals, with 27 219 in the preintervention period (median [IQR] age, 72 [59-82] years; 14 400 [52.9%] men) and 27 476 in the intervention phase (median [IQR] age, 72 [59-82] years; 14 448 [52.6%] men) and 438 791 at control hospitals, with 216 261 in the preintervention period (median [IQR] age, 74 [60-83] years; 109 770 [50.8%] men) and 222 530 in the intervention phase (median [IQR] age, 74 [60-83] years; 113 053 [50.8%] men). The mean (SD) length of stay in the preintervention phase was 7.6 (7.1) days for intervention hospitals and 7.5 (7.4) days for control hospitals. During the preintervention phase, population-averaged length of stay decreased by -0.344 hr/mo (95% CI, -0.599 to -0.090 hr/mo) in control hospitals; however, no change in trend was observed among intervention hospitals (-0.034 hr/mo; 95% CI, -0.646 to 0.714 hr/mo; difference in slopes, P = .09). Over the intervention phase (February 2018 through January 2019), length of stay remained unchanged in control hospitals (slope, -0.011 hr/mo; 95% CI, -0.281 to 0.260 hr/mo; change in slope, P = .03), but decreased steadily among intervention hospitals by -0.879 hr/mo (95% CI, -1.607 to -0.150 hr/mo; change in slope, P = .04, difference in slopes, P = .03). Safety analyses showed no change in trends of hospital readmission, in-hospital mortality, or facility discharge over the whole study time.; In this nonrandomized controlled trial, the implementation of an electronic interprofessional-led discharge planning tool was associated with a decline in length of stay without an increase in hospital readmission, in-hospital mortality, or facility discharge.; isrctn.org Identifier: ISRCTN83274049

Six-month outcomes after individualized nutritional support during the hospital stay in medical patients at nutritional risk: Secondary analysis of a prospective randomized trial.

BACKGROUND Among medical inpatients at risk of malnutrition, the use of individualized nutritional support during the hospital stay was found to reduce complications and improve mortality at short-term. We evaluated clinical outcomes at 6-months follow-up. METHODS We randomly assigned 2028 patients to receive protocol-guided individualized nutritional support to reach protein and energy goals (intervention group) or hospital food as usual (control group) during the hospital stay. The intervention was discontinued at hospital discharge and further nutritional support was based on the discretion of the treating team. We had complete follow-up information of 1995 patients (98%), which were included in the final analysis. The primary endpoint was all-cause mortality at 6-months. Prespecified secondary end points included non-elective hospital readmissions, functional outcome and quality of life. RESULTS At 6-month, 231 of 994 (23.2%) intervention group patients had died compared to 246 of 999 (24.6%) control group patients, resulting in a hazard ratio for death of 0.90 (95%CI 0.76 to 1.08, p = 0.277). Compared to control patients, intervention group patients had similar rates of hospital readmission (27.3% vs. 27.6%, HR 1.00 (95%CI 0.84 to 1.18), p = 0.974), falls (11.2% vs. 10.9%, HR 0.96 (95%CI 0.72 to 1.27), p = 0.773) and similar quality of life and activities of daily living scores. INTERPRETATION While individualized nutritional support during the hospital stay significantly reduced short-term mortality, there was no legacy effect on longer term outcomes. Future trials should investigate whether continuation of nutritional support after hospital discharge reduces the high malnutrition-associated mortality rates in this vulnerable patient population. TRIAL REGISTRATION ClinicalTrials.gov number, NCT02517476