34 resultados para Daedalus


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Daedalus is a computer tool, developed by an Italian magistrate - Carmelo Asaro - and integrated in his own daily routine as an investigating magistrate conducting inquiries, then as a prosecutor if and when the case investigated goes to court. This tool has recently been adopted by magistrates in judiciary offices throughout Italy, spawning moreover other related projects. First, this paper describes a sample session with daedalus. Next, an overview of an array of judicial tools leads to positioning daedalus in the context of the spectrum.

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This paper describes the participation of DAEDALUS at ImageCLEF 2011 Plant Identification task. The task is evaluated as a supervised classification problem over 71 tree species from the French Mediterranean area used as class labels, based on visual content from scan, scan-like and natural photo images. Our approach to this task is to build a classifier based on the detection of keypoints from the images extracted using Lowe’s Scale Invariant Feature Transform (SIFT) algorithm. Although our overall classification score is very low as compared to other participant groups, the main conclusion that can be drawn is that SIFT keypoints seem to work significantly better for photos than for the other image types, so our approach may be a feasible strategy for the classification of this kind of visual content.

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This paper describes the participation of DAEDALUS at ImageCLEF 2011 Medical Retrieval task. We have focused on multimodal (or mixed) experiments that combine textual and visual retrieval. The main objective of our research has been to evaluate the effect on the medical retrieval process of the existence of an extended corpus that is annotated with the image type, associated to both the image itself and also to its textual description. For this purpose, an image classifier has been developed to tag each document with its class (1st level of the hierarchy: Radiology, Microscopy, Photograph, Graphic, Other) and subclass (2nd level: AN, CT, MR, etc.). For the textual-based experiments, several runs using different semantic expansion techniques have been performed. For the visual-based retrieval, different runs are defined by the corpus used in the retrieval process and the strategy for obtaining the class and/or subclass. The best results are achieved in runs that make use of the image subclass based on the classification of the sample images. Although different multimodal strategies have been submitted, none of them has shown to be able to provide results that are at least comparable to the ones achieved by the textual retrieval alone. We believe that we have been unable to find a metric for the assessment of the relevance of the results provided by the visual and textual processes

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This paper describes our participation at SemEval- 2014 sentiment analysis task, in both contextual and message polarity classification. Our idea was to com- pare two different techniques for sentiment analysis. First, a machine learning classifier specifically built for the task using the provided training corpus. On the other hand, a lexicon-based approach using natural language processing techniques, developed for a ge- neric sentiment analysis task with no adaptation to the provided training corpus. Results, though far from the best runs, prove that the generic model is more robust as it achieves a more balanced evaluation for message polarity along the different test sets.

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This paper describes our participation at the RepLab 2014 reputation dimensions scenario. Our idea was to evaluate the best combination strategy of a machine learning classifier with a rule-based algorithm based on logical expressions of terms. Results show that our baseline experiment using just Naive Bayes Multinomial with a term vector model representation of the tweet text is ranked second among runs from all participants in terms of accuracy.

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This paper describes our participation at PAN 2014 author profiling task. Our idea was to define, develop and evaluate a simple machine learning classifier able to guess the gender and the age of a given user based on his/her texts, which could become part of the solution portfolio of the company. We were interested in finding not the best possible classifier that achieves the highest accuracy, but to find the optimum balance between performance and throughput using the most simple strategy and less dependent of external systems. Results show that our software using Naive Bayes Multinomial with a term vector model representation of the text is ranked quite well among the rest of participants in terms of accuracy.

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Mode of access: Internet.

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BACKGROUND: Head-of-bed elevation (HOBE) has been shown to assist in reducing respiratory complications associated with mechanical ventilation; however, there is minimal research describing changes in end-expiratory lung volume. This study aims to investigate changes in end-expiratory lung volume in a supine position and 2 levels of HOBE. METHODS: Twenty postoperative cardiac surgery subjects were examined using electrical impedance tomography. End-expiratory lung impedance (EELI) was recorded as a surrogate measurement of end-expiratory lung volume in a supine position and at 20° and then 30°. RESULTS: Significant increases in end-expiratory lung volume were seen at both 20° and 30° HOBE in all lung regions, except the anterior, with the largest changes from baseline (supine) seen at 30°. From baseline to 30° HOBE, global EELI increased by 1,327 impedance units (95% CI 1,080–1,573, P < .001). EELI increased by 1,007 units (95% CI 880–1,134, P < .001) in the left lung region and by 320 impedance units (95% CI 188–451, P < .001) in the right lung. Posterior increases of 1,544 impedance units (95% CI 1,405–1,682, P < .001) were also seen. EELI decreased anteriorly, with the largest decreases occurring at 30° (−335 impedance units, 95% CI −486 to −183, P < .001). CONCLUSIONS: HOBE significantly increases global and regional end-expiratory lung volume; therefore, unless contraindicated, all mechanically ventilated patients should be positioned with HOBE.

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BACKGROUND: Despite numerous studies on endotracheal tube cuff pressure (CP) management, the literature has yet to establish a technique capable of adequately tilling the cuff with an appropriate volume of air while generating low CP in a less subjective way. the purpose of this prospective study was to evaluate and compare the CP levels and air volume required to fill the endotracheal tubes cuff using 2 different techniques (volume-time curve versus minimal occlusive volume) in the immediate postoperative period after coronary artery bypass grafting. METHODS: A total of 267 subjects were analyzed. After the surgery, the lungs were ventilated using pressure controlled continuous mandatory ventilation, and the same ventilatory parameters were adjusted. Upon arrival in the ICU, the cuff was completely deflated and re-inflated, and at this point the volume of air to fill the cuff was adjusted using one of 2 randomly selected techniques: volume-time curve and minimal occlusive volume. We measured the volume of air injected into the cuff, the CP, and the expired tidal volume of the mechanical ventilation after the application of each technique. RESULTS: the volume-time curve technique demonstrated a significantly lower CP and a lower volume of air injected into the cuff, compared to the minimal occlusive volume technique (P < .001). No significant difference was observed in the expired tidal volume between the 2 techniques (P = .052). However, when the subjects were submitted to the minimal occlusive volume technique, 17% (n = 47) experienced air leakage as observed by the volume-time graph. CONCLUSIONS: the volume-time curve technique was associated with a lower CP and a lower volume of air injected into the cuff, when compared to the minimal occlusive volume technique in the immediate postoperative period after coronary artery bypass grafting. Therefore, the volume-time curve may be a more reliable alternative for endotracheal tube cuff management.

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BACKGROUND: Previous investigation showed that the volume-time curve technique could be an alternative for endotracheal tube (ETT) cuff management. However, the clinical impact of the volume-time curve application has not been documented. the purpose of this study was to compare the occurrence and intensity of a sore throat, cough, thoracic pain, and pulmonary function between these 2 techniques for ETT cuff management: volume-time curve technique versus minimal occlusive volume (MOV) technique after coronary artery bypass grafting. METHODS: A total of 450 subjects were randomized into 2 groups for cuff management after intubation: MOV group (n = 222) and volume-time curve group (n = 228). We measured cuff pressure before extubation. We performed spirometry 24 h before and after surgery. We graded sore throat and cough according to a 4-point scale at 1, 24, 72, and 120 h after extubation and assessed thoracic pain at 24 h after extubation and quantified the level of pain by a 10-point scale. RESULTS: the volume-time curve group presented significantly lower cuff pressure (30.9 +/- 2.8 vs 37.7 +/- 3.4 cm H2O), less incidence and intensity of sore throat (1 h, 23.7 vs 51.4%; and 24 h, 18.9 vs 40.5%, P < .001), cough (1 h, 19.3 vs 48.6%; and 24 h, 18.4 vs 42.3%, P < .001), thoracic pain (5.2 +/- 1.8 vs 7.1 +/- 1.7), better preservation of FVC (49.5 +/- 9.9 vs 41.8 +/- 12.9%, P = .005), and FEV1, (46.6 +/- 1.8 vs 38.6 +/- 1.4%, P = .005) compared with the MOV group. CONCLUSIONS: the subjects who received the volume-time curve technique for ETT cuff management presented a significantly lower incidence and severity of sore throat and cough, less thoracic pain, and minimally impaired pulmonary function than those subjects who received the MOV technique during the first 24 h after coronary artery bypass grafting.

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Romani antiqui putabant litteras aedificiis similes esse. Nonnulli scriptores Latini tali modo metaphoras suas composuerunt, ut descriptio aedificii una cum descriptione operis poetici esset. Aeneis etiam effigiem suam continet, quae est ecphrasis portae templi Apollinis. In fabulam Aeneae Vergilius fabulam Daedali introduxit, quae diu doctis ad nihil pertinere videbatur. Falsissime quidem, quia non solum coniunctio fabularum exsistit, sed etiam multae sunt causae fabulae Daedali hoc loco imponendae. Imprimis caelamen monstrat multos casus ex vita Daedali et Aeneae similes fuisse, deinde ostendere Daedalum creatorem hibridarum esse videtur. Aeneis etiam hibrida est, quia constat ex duabus partibus, quae sunt, ut ita dicam, „pars Odysseica” et „pars Iliadica”. Utri (Daedalus Vergiliusque scilicet) sunt ergo creatores hibridarum. Maximi momenti est quaestio: quis dicit “miserum!” in hac parte poematis? Auctrix commentationis censet illum clamantem Vergilium esse, quia poeta constructorem „alter ego” suum esse credebat. Auctrix scripsit etiam imaginem illam, in qua caelata est fabula de Minotauro sine Theseo, viam esse pietatis Aeneae minuendae. Scripsit verba illa quoque opinionem Vergilii de natura poesis et vocem Augusti absconditam esse.

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Als Merkmale "guter Supervision" wurden in einer empirischen Studie vor allem die strikte Aufgabenorientierung der Supervisoren, die umfassende sozialwissenschaftliche Fundierung ihrer Interventionen, ihre Triangulierungskompetenz und die Ressourcenorientierung herausgearbeitet. Den Supervisionsexperten gelingt es, die Abstinenz in der Supervision und die Handhabung von Übertragung und Widerstand feldspezifisch und gegenstandsangemessen zu variieren. Erfolgreiche Supervisoren, so ließ sich zeigen, vereinen Fähigkeiten als Team- und Personalentwickler, Organisationsberater, Lehrer und Forscher und verfügen über gut entwickelte Fall- und Teamsupervisionskompetenz. Der vorliegende Aufsatz stellt eine konzeptionelle Reflexion zu den Ergebnissen des Forschungsprojekts dar.

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In der Betrachtung der Supervision begegnen sich zwei unterschiedliche Perspektiven. Einerseits wird Supervision als schlichte Anwendung wissenschaftlich gewonnener Erkenntnisse gewertet. Andererseits läßt sie sich jedoch auch als eine »Kunst« begreifen. Die Autoren gehen davon aus, daß sich professionelles supervisorisches Handeln nicht hierarchisch einem wissenschaftlichen Regelwerk unterstellen läßt, sondern daß beide Bereiche gleichberechtigt ihren je eigenen Diskurs- und Handlungsformen folgen. Sinnvoll scheint es, das supervisorische Tun als einen heuristischen Suchprozeß zu beschreiben und ihn mit Hilfe der Erkenntnisse der Kreativitätsforschung besser zu verstehen. Die Autoren plädieren weiterhin dafür, daß eine psychoanalytisch orientierte Supervision nur als ein dialogisch-intersubjektives Geschehen begriffen werden kann, in dem die biographische "Wahrheit" oder das institutionelle bzw. organisatorische Unbewußte in einem gleichsam poetisch-schöpferischen Akt zwischen Supervisor und Supervisand(en) gemeinsam erfunden und erzeugt wird.

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Este proyecto busca comprender la formación de las estrategias de seguridad nacional de Colombia y Brasil en su contexto histórico, multinivel y multidimensional hacia 2014, a partir del Realismo Neoclásico y de un contraste entre capacidades, amenazas securitizadas e interés mediático común.