41 resultados para eco-friendliness

em Université de Lausanne, Switzerland


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OBJECTIVE: To explore the user-friendliness and ergonomics of seven new generation intensive care ventilators. DESIGN: Prospective task-performing study. SETTING: Intensive care research laboratory, university hospital. METHODS: Ten physicians experienced in mechanical ventilation, but without prior knowledge of the ventilators, were asked to perform eight specific tasks [turning the ventilator on; recognizing mode and parameters; recognizing and setting alarms; mode change; finding and activating the pre-oxygenation function; pressure support setting; stand-by; finding and activating non-invasive ventilation (NIV) mode]. The time needed for each task was compared to a reference time (by trained physiotherapist familiar with the devices). A time >180 s was considered a task failure. RESULTS: For each of the tests on the ventilators, all physicians' times were significantly higher than the reference time (P < 0.001). A mean of 13 +/- 8 task failures (16%) was observed by the ventilator. The most frequently failed tasks were mode and parameter recognition, starting pressure support and finding the NIV mode. Least often failed tasks were turning on the pre-oxygenation function and alarm recognition and management. Overall, there was substantial heterogeneity between machines, some exhibiting better user-friendliness than others for certain tasks, but no ventilator was clearly better that the others on all points tested. CONCLUSIONS: The present study adds to the available literature outlining the ergonomic shortcomings of mechanical ventilators. These results suggest that closer ties between end-users and manufacturers should be promoted, at an early development phase of these machines, based on the scientific evaluation of the cognitive processes involved by users in the clinical setting.

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The advent of simple and affordable tools for molecular identification of novel insect invaders and assessment of population diversity has changed the face of invasion biology in recent years. The widespread application of these tools has brought with it an emerging understanding that patterns in biogeography, introduction history and subsequent movement and spread of many invasive alien insects are far more complex than previously thought. We reviewed the literature and found that for a number of invasive insects, there is strong and growing evidence that multiple introductions, complex global movement, and population admixture in the invaded range are commonplace. Additionally, historical paradigms related to species and strain identities and origins of common invaders are in many cases being challenged. This has major consequences for our understanding of basic biology and ecology of invasive insects and impacts quarantine, management and biocontrol programs. In addition, we found that founder effects rarely limit fitness in invasive insects and may benefit populations (by purging harmful alleles or increasing additive genetic variance). Also, while phenotypic plasticity appears important post-establishment, genetic diversity in invasive insects is often higher than expected and increases over time via multiple introductions. Further, connectivity among disjunct regions of global invasive ranges is generally far higher than expected and is often asymmetric, with some populations contributing disproportionately to global spread. We argue that the role of connectivity in driving the ecology and evolution of introduced species with multiple invasive ranges has been historically underestimated and that such species are often best understood in a global context.

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Therapeutic drug monitoring (TDM) aims to optimize treatments by individualizing dosage regimens based on the measurement of blood concentrations. Dosage individualization to maintain concentrations within a target range requires pharmacokinetic and clinical capabilities. Bayesian calculations currently represent the gold standard TDM approach but require computation assistance. In recent decades computer programs have been developed to assist clinicians in this assignment. The aim of this survey was to assess and compare computer tools designed to support TDM clinical activities. The literature and the Internet were searched to identify software. All programs were tested on personal computers. Each program was scored against a standardized grid covering pharmacokinetic relevance, user friendliness, computing aspects, interfacing and storage. A weighting factor was applied to each criterion of the grid to account for its relative importance. To assess the robustness of the software, six representative clinical vignettes were processed through each of them. Altogether, 12 software tools were identified, tested and ranked, representing a comprehensive review of the available software. Numbers of drugs handled by the software vary widely (from two to 180), and eight programs offer users the possibility of adding new drug models based on population pharmacokinetic analyses. Bayesian computation to predict dosage adaptation from blood concentration (a posteriori adjustment) is performed by ten tools, while nine are also able to propose a priori dosage regimens, based only on individual patient covariates such as age, sex and bodyweight. Among those applying Bayesian calculation, MM-USC*PACK© uses the non-parametric approach. The top two programs emerging from this benchmark were MwPharm© and TCIWorks. Most other programs evaluated had good potential while being less sophisticated or less user friendly. Programs vary in complexity and might not fit all healthcare settings. Each software tool must therefore be regarded with respect to the individual needs of hospitals or clinicians. Programs should be easy and fast for routine activities, including for non-experienced users. Computer-assisted TDM is gaining growing interest and should further improve, especially in terms of information system interfacing, user friendliness, data storage capability and report generation.

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Cloud computing has recently become very popular, and several bioinformatics applications exist already in that domain. The aim of this article is to analyse a current cloud system with respect to usability, benchmark its performance and compare its user friendliness with a conventional cluster job submission system. Given the current hype on the theme, user expectations are rather high, but current results show that neither the price/performance ratio nor the usage model is very satisfactory for large-scale embarrassingly parallel applications. However, for small to medium scale applications that require CPU time at certain peak times the cloud is a suitable alternative.

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BACKGROUND: DNA sequence integrity, mRNA concentrations and protein-DNA interactions have been subject to genome-wide analyses based on microarrays with ever increasing efficiency and reliability over the past fifteen years. However, very recently novel technologies for Ultra High-Throughput DNA Sequencing (UHTS) have been harnessed to study these phenomena with unprecedented precision. As a consequence, the extensive bioinformatics environment available for array data management, analysis, interpretation and publication must be extended to include these novel sequencing data types. DESCRIPTION: MIMAS was originally conceived as a simple, convenient and local Microarray Information Management and Annotation System focused on GeneChips for expression profiling studies. MIMAS 3.0 enables users to manage data from high-density oligonucleotide SNP Chips, expression arrays (both 3'UTR and tiling) and promoter arrays, BeadArrays as well as UHTS data using MIAME-compliant standardized vocabulary. Importantly, researchers can export data in MAGE-TAB format and upload them to the EBI's ArrayExpress certified data repository using a one-step procedure. CONCLUSION: We have vastly extended the capability of the system such that it processes the data output of six types of GeneChips (Affymetrix), two different BeadArrays for mRNA and miRNA (Illumina) and the Genome Analyzer (a popular Ultra-High Throughput DNA Sequencer, Illumina), without compromising on its flexibility and user-friendliness. MIMAS, appropriately renamed into Multiomics Information Management and Annotation System, is currently used by scientists working in approximately 50 academic laboratories and genomics platforms in Switzerland and France. MIMAS 3.0 is freely available via http://multiomics.sourceforge.net/.

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Aim To explore the respective power of climate and topography to predict the distribution of reptiles in Switzerland, hence at a mesoscale level. A more detailed knowledge of these relationships, in combination with maps of the potential distribution derived from the models, is a valuable contribution to the design of conservation strategies. Location All of Switzerland. Methods Generalized linear models are used to derive predictive habitat distribution models from eco-geographical predictors in a geographical information system, using species data from a field survey conducted between 1980 and 1999. Results The maximum amount of deviance explained by climatic models is 65%, and 50% by topographical models. Low values were obtained with both sets of predictors for three species that are widely distributed in all parts of the country (Anguis fragilis , Coronella austriaca , and Natrix natrix), a result that suggests that including other important predictors, such as resources, should improve the models in further studies. With respect to topographical predictors, low values were also obtained for two species where we anticipated a strong response to aspect and slope, Podarcis muralis and Vipera aspis . Main conclusions Overall, both models and maps derived from climatic predictors more closely match the actual reptile distributions than those based on topography. These results suggest that the distributional limits of reptile species with a restricted range in Switzerland are largely set by climatic, predominantly temperature-related, factors.

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Background: Few data is available on long-term secular trends in height and weight in children in countries in transition. We assessed the secular trends in height and weight among representative samples of children and adolescents from the Seychelles (African region). Methods: Weight and height data from all students of all schools in four selected school grades (kindergarten, 4th, 7th and 10th years) were collected by cross-sectional surveys for periods 1998-9 (3,676 boys, 3,715 girls) and 2005-6 (4,867 boys, 4,846 girls). Data from 1956-7 was extracted from a previously published report. Results: Height increased, in boys, by 1.6 cm/decade for the period 1956-7 to 1998- 9, and 1.1 cm/decade for the period 1998-8 to 2005-6; in girls, the corresponding figures were 0.9 cm/decade and 1.8 cm/decade. At age 15.5 years, boys/girls were taller by 10/13 cm in 2005-6 than in 1956-7. Weight increased, in boys, by 1.4 kg/decade for the period 1956-7 to 1998-9, and by 2.2 kg/decade for the subsequent period; the corresponding figures in girls were 1.1 kg/decade and 2.5 kg/decade. Conclusion: Marked upward secular trends in body height and weight were documented in children and adolescents aged <16 years in the Seychelles, consistent with large changes in socio-economic and nutritional indicators in the considered 50- year interval. However, indirect evidence suggests that the secular height gain reflects accelerated growth during childhood over time with less than commensurate impact on adult height. Conversely, the largely steeper secular increase in weight than height is consistent with a pediatric obesity epidemic.

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Current applications of cardiac magnetic resonance (CMR) imaging offer a wide spectrum of indications in the setting of acute cardiac care. In particular, CMR is helpful for the differential diagnosis of chest pain by detection of myocarditis and pericarditis. Also, takotsubo cardiomyopathy and acute aortic diseases can be evaluated by CMR and are important differential diagnoses in patients with acute chest pain. In patients with restricted windows for echocardiography, CMR is the method of choice to evaluate complications of acute myocardial infarction (AMI). In AMI, CMR allows for a unique characterization of myocardial damage by quantifying necrosis, microvascular obstruction, oedema (=area at risk), and haemorrhage. These capabilities will help us to understand better the pathophysiological events during infarction and will also allow to assess new treatment strategies in AMI. To what extent the information on tissue damage will guide patient management is not yet clear and further research in this field is warranted. In the near future, CMR will certainly become more routine in acute cardiac care units, as manufacturers are now focusing strongly on this aspect of user-friendliness. Finally, in the next decade or so, MRI of other nuclei such as fluorine and carbon might become a clinical reality, which would allow for metabolic and targeted molecular imaging with excellent sensitivity and specificity

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The field of classical studies has undergone a radical transformation with the arrival of the digital age, particularly with regard to the editing of ancient texts. As Umberto Eco (2003) pointed out, the digital age may mean the end of the history of variants and of the notion of the "original text." Among the texts of antiquity, the editing of Homer and of the New Testament are more especially susceptible to the effects of digital technology because of their numerous manuscripts. Whereas the "Homer Multitext" project recognizes that the notion of a synthetic critical edition is now seriously brought into question, the prototype of the online Greek New Testament continues to be based on the aim of obtaining a unique text, in the style of a printed critical edition. As it moves from a printed culture to the digital age, the editing of the Greek NT is also confronted by the emergence of non-Western scholarship. For example, the presence is to be noted of Arabic Muslim websites that examine Greek New Testament manuscripts but without directly interacting with Western scholarship.

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Being aware of which communication style should be adopted when facing more difficult patients is important for physicians; it can help prevent patient reactions of dissatisfaction, mistrust, or non-adherence that can be detrimental to the process of care. Past research suggests that less agreeable patients are especially critical towards, and reactive to, their physician's communication style, compared to more agreeable patients. On the basis of the literature, we hypothesized that less agreeable patients would react more negatively than agreeable patients to lower levels of affiliativeness (i.e., warmth, friendliness) in the physicians, in terms of satisfaction with the physician, trust in the physician, and determination to adhere to the treatment. Thirty-six general practitioners (20 men/16 women) working in their own practice in Switzerland were filmed while interacting with 69 patients (36 men/33 women) of different ages (M = 50.7; SD = 18.19; range: 18-84) and presenting different medical problems (e.g., back pain, asthma, hypertension, diabetes). After the medical interview, patients filled in questionnaires measuring their satisfaction with the physician, their trust in the physician, their determination to adhere to the treatment, and their trait of agreeableness. Physician affiliativeness was coded on the basis of the video recordings. Physician gender and dominance, patient gender and age, as well as the gravity of the patient's medical condition were introduced as control variables in the analysis. Results confirmed our hypothesis for satisfaction and trust, but not for adherence; less agreeable patients reacted more negatively (in terms of satisfaction and trust) than agreeable patients to lower levels of affiliativeness in their physicians. This study suggests that physicians should be especially attentive to stay warm and friendly with people low in agreeableness because those patients' satisfaction and trust might be more easily lowered by a cold or distant physician communication style.

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Objective: to assess the between and within-device reproducibility, as well as within-day variability of body fat measurements. Methods: body fat percentage (%BF) was measured twice on seventeen female students aged between 18 and 20 with a body mass index of 21.9 22.6 kg/m2 (mean SD) using seven bipolar bioelectrical impedance devices (BF-306) according to the manufacturer's recommendations. Each student was also measured each hour between 7:00 and 22:00. Statistical analysis was conducted using a general linear model for repeated measurements. Results: the correlation between first and second measurements was very high (Pearson r between 0.985 and 1.000, p<0.001), as well as the correlation between devices (Pearson r between 0.986 and 0.999, all p<0.001). Repeated measurements analysis showed no differences were between devices (F test=0.83, p=0.59) or readings (first vs. second: F test=0.12, p=0.74). Conversely, significant differences were found between assessment periods throughout the day, measurements made in the morning being lower than those made in the afternoon. Assuming an overall daily average of 100 (based on all measurements), the values were 95.8 3.2 (mean SD) at 8:00 versus 101.3 3.0 at 20:00, corresponding to a mean change of 2.2 1.1 in %BF (F test for repeated values=6.58, p<0.001). Conclusions: the between and within-device reproducibility for measuring body fat is high, enabling the use of multiple devices in a single study. Conversely, small but significant changes in body fat measurements occur during the day, urging body fat measurements to be performed at fixed times.

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PURPOSE: To review the literature on young people's perspectives on health care with a view to defining domains and indicators of youth-friendly care. METHODS: Three bibliographic databases were searched to identify studies that purportedly measured young people's perspectives on health care. Each study was assessed to identify the constructs, domains, and indicators of adolescent-friendly health care. RESULTS: Twenty-two studies were identified: 15 used quantitative methods, six used qualitative methods and one used mixed methodology. Eight domains stood out as central to young people's positive experience of care. These were: accessibility of health care; staff attitude; communication; medical competency; guideline-driven care; age appropriate environments; youth involvement in health care; and health outcomes. Staff attitudes, which included notions of respect and friendliness, appeared universally applicable, whereas other domains, such as an appropriate environment including cleanliness, were more specific to particular contexts. CONCLUSION: These eight domains provide a practical framework for assessing how well services are engaging young people. Measures of youth-friendly health care should address universally applicable indicators of youth-friendly care and may benefit from additional questions that are specific to the local health setting.