102,352 research outputs found
Indagini briologiche in alcune faggete del Parco dell’Aveto (Appennino Ligure)
No full textIl presente studio si propone di approfondire le conoscenze sulla componente briofitica dell’habitat 9110, ovvero i Faggeti del LuzuloFagetum, un habitat protetto dalla Direttiva Habitat dell’Unione Europea, in tre Zone di Conservazione Speciale (ZSC) situate nel Parco Naturale dell’Aveto
Advantages of a physics-embedding kernel for robot inverse dynamics identification
No full textThe Geometrically Inspired Polynomial Kernel (GIP) [1] has been recently proposed in the context of black box inverse dynamics estimation based on Gaussian Processes, driven by the fact that the inverse dynamics map derived from the Lagrangian equations is a polynomial function in a suitable feature space. In this paper, we further investigate the advantages of the GIP kernel comparing it with the state of the art Radial Basis Function Kernel (RBF). In particular, we extend the analysis of the generalization properties, by comparing estimation accuracy and reliability of the confidence intervals returned. Moreover, we evaluate the structural properties induced by the two kernels considering their ability to estimate inertial, Coriolis and gravitational components of the inverse dynamics map. Numerical experiments confirm that the GIP kernel has better generalization properties and returns more reliable estimates of the prediction variance. Moreover, its superior ability to estimate inertial, Coriolis and gravitational torques components, suggests that it better encodes the underlying structural properties of the unknown inverse dynamics map
Indagini briologiche in alcune faggete del Parco Naturale Regionale dell’Aveto (Appennino Ligure)
No full textCensimento dei muschi presnti nelle faggete delle ZSC Direttiva Habitat gestite dal Parco dell'Aveto in Liguri
The Role of Early Intubation in Status Epilepticus with Out-of-Hospital Onset: A Large Prospective Observational Study
No full textBackground: this study aimed to evaluate the role of early airway management and intubation in status epilepticus (SE) with out-of-hospital onset. Methods: We included all patients with out-of-hospital SE onset referred to the emergency department of the Academic Hospital of Modena between 2013 and 2021. Patients were compared according to out-of-hospital airway management (intubation versus non-intubation) and a propensity score was performed for clinical variables unevenly distributed between the two groups. Results: We evaluated 711 patients with SE. A total of 397 patients with out-of-hospital SE onset were eventually included; of these, 20.4% (81/397) were intubated before arrival at the hospital. No difference was found in the clinical characteristics of patients after propensity score matching. The 30-day mortality in the propensity group was 19.4% (14/72), and no difference was found between intubated (7/36, 19.4%) and non-intubated (7/36, 19.4%) patients. No difference was found in SE cessation. Compared to non-intubated patients, those who underwent out-of-hospital intubation had a higher risk of progression to refractory or super-refractory SE, greater worsening of mRS values between hospital discharge and admission, and lower probability of returning to baseline condition at 30 days after SE onset. Conclusions: Early intubation for out-of-hospital SE onset is not associated with improved patient survival even after balancing for possible confounders. Further studies should evaluate the timing of intubation and its association with first-line treatments for SE and their efficacy. In addition, they should focus on the settings and the exact reasons leading to intubation to better inform early management of SE with out-of-hospital onset
Progression to refractory status epilepticus: A machine learning analysis by means of classification and regression tree analysis
No full textBackground and Objectives: to identify predictors of progression to refractory status epilepticus (RSE) using a machine learning technique. Methods: Consecutive patients aged >= 14 years with SE registered in a 9-years period at Modena Academic Hospital were included in the analysis. We evaluated the risk of progression to RSE using logistic regression and a machine learning analysis by means of classification and regression tree analysis (CART) to develop a predictive model of progression to RSE. Results: 705 patients with SE were included in the study; of those, 33 % (233/705) evolved to RSE. The progression to RSE was an independent risk factor for 30-day mortality, with an OR adjusted for previously identified possible univariate confounders of 4.086 (CI 95 % 2.390-6.985; p < 0.001). According to CART the most important variable predicting evolution to RSE was the impaired consciousness before treatment, followed by acute symptomatic hypoxic etiology and periodic EEG patterns. The decision tree identified 14 nodes with a risk of evolution to RSE ranging from 1.5 % to 90.8 %. The overall percentage of success in classifying patients of the decision tree was 79.4 %; the percentage of accurate prediction was high, 94.1 %, for those patients not progressing to RSE and moderate, 49.8 %, for patients evolving to RSE. Conclusions: Decision-tree analysis provided a meaningful risk stratification based on few variables that are easily obtained at SE first evaluation: consciousness before treatment, etiology, and severe EEG patterns. CART models must be viewed as potential new method for the stratification RSE at single subject level deserving further exploration and validation
Bibliographie Hilarion G. Petzold 1958 – 2009 mit Anhang als Einführung
No full textDieses Archiv enthält die Gesamtbibliographie der Werke des Autors nebst einiger Texte „Über H. G. Petzold“ im Schlussteil der Bibliographie sowie einen Anhang mit einer Einführung in die Architektur des Werkes in seinem wissenslogischen Aufbau als Ausarbeitung seines „Tree of Science Modells“ (2007).This archive contains the complete bibliography of the author and some texts about H. G. Petzold, moreover an epilogue with an introduction to the architecture of the works in its epistemological structure and composition and as an elaborations of Petzold’s „Tree of Science Modell (2007).https://www.fpi-publikation.de/polyloge/01-2009-petzold-h-g-gesamtbibliographie-h-g-petzold-1958-2009-updating-november2009/peerReviewedpublishedVersio
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Comparison of the status epilepticus severity score and the epidemiology-based mortality score in predicting 30-day mortality and status epilepticus cessation
No full textObjective: To evaluate the role of the Status Epilepticus Severity Score (STESS) and the Epidemiology-based Mortality score (EMSE) in predicting 30-day mortality and SE (Status epilepticus) cessation, and their prognostic performance in subgroups of patients with specific characteristics. Methods: We reviewed consecutive episodes of SE occurring in patients aged ≥14 years at Baggiovara Civil Hospital (Modena, Italy) from 2013 to 2021. We evaluated the predictive accuracy of EMSE and STESS for 30-day mortality and SE cessation through stepwise regression binary logistic models adjusted for possible univariate clinical confounders. Results: Seven hundred and eleven patients were enrolled. The mean value of STESS was 3.2 (SD 1.7) and of EMSE was 80.1 (SD 52.6). Within 30 days of the onset of SE, 28.4% of patients (202/711) died. EMSE had higher discriminatory ability for 30-day mortality compared with STESS (AUROC: 0.799; 95% CI: 0.765–0.832 versus 0.727; 95% CI: 0.686–0.766, respectively; p = 0.014). SE cessation within 1 h for convulsive SE and within 12 h for nonconvulsive SE was achieved in 35.3% (251/711) of patients. No significant difference was found between EMSE and STESS in discriminatory ability for SE cessation (AUROC: 0.516; 95% CI: 0.488–0.561 and 0.518; 95% CI: 0.473–0.563, respectively; p = 0.929). EMSE was superior to STESS in predicting 30-day mortality in patients with specific characteristics. No difference between the two scores was found in predicting SE cessation in subgroups of patients with specific characteristics. Conclusions: EMSE seems superior to STESS in predicting 30-day mortality, particularly in specific patient categories. Conversely, there is no difference in the ability of these scores in predicting SE cessation, which is overall rather low
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