1,443 research outputs found
Zooming Mnemosyne : Notes on the Use of Detail in the Mnemosyne Atlas
No full textIn this contribution, Giulia Zanon investigates the use of detail as a scholarly tool in Warburg’s corpus. In the first phase of an ongoing study, the author makes a recognition of the cases in which the detail of an image in the Atlas is enlarged and juxtaposed to its original, highlighting the different visual strategies exploited by the scholar to develop and expose his research themes
Introduzione
No full textIl presente volume raccoglie gli atti del seminario svoltosi il 9 novembre 2019 presso l’Università degli Studi di Milano, nel cui ambito sono intervenuti docenti universitari, avvocati e magistrati, da molti anni impegnati nello studio delle tematiche concernenti l’ordinamento giudiziario.
Nella sua prime parte, il testo ospita le riflessioni proposte dai relatori sul tema della carriera dei magistrati, con un’attenzione particolare alla discrezionalità esercitata dal C.S.M. nel conferimento degli incarichi (direttivi e semi-direttivi) e al sindacato giudiziario sui provvedimenti consiliari.
La seconda parte del volume è invece dedicata alla tenuta delle garanzie che circondano la cd. indipendenza funzionale e che assistono il magistrato nell’esercizio della funzione giudiziaria: in questo contesto, i contributi proposti si concentrano, da un lato, sulle innovazioni legislative che hanno interessato la funzione nomofilattica della Corte di cassazione e, dall’altro lato, sull’organizzazione degli uffici (requirenti e giudicanti).
Il volume si chiude con un intervento del Presidente emerito della Corte costituzionale Giorgio Lattanzi, che si interroga sulle modalità con cui le correnti associative dei magistrati influenzano la formazione della volontà del C.S.M. e, con una prospettiva generale, sul ruolo che il giudice può ricoprire in un sistema normativo complesso e talvolta disorganico, come è quello attuale
Do Kawasaki disease patients without coronary artery abnormalities need a long-term follow-up? A myocardial single-photon emission computed tomography pilot study
No full textJ Paediatr Child Health. 2009 Jul-Aug;45(7-8):419-24. Epub 2009 Jul 20.
Do Kawasaki disease patients without coronary artery abnormalities need a long-term follow-up? A myocardial single-photon emission computed tomography pilot study.
Zanon G, Zucchetta P, Varnier M, Vittadello F, Milanesi O, Zulian F.
Source
Rheumatology Unit, Department of Paediatrics, University of Padua, 35128 Padua, Italy.
Abstract
OBJECTIVE:
To determine the frequency and risk factors for long-term myocardial perfusion scintigraphy abnormalities in patients with Kawasaki disease (KD).
METHODS:
A cohort of patients with KD at least 3 years after disease onset and with persistent coronary artery aneurysms (CAA) (group 1) or without CAA (group 2) underwent stress-rest myocardial single-photon emission computed tomography (SPECT). Clinical and laboratory parameters at disease onset were considered to assess their predictive value for the development of myocardial perfusion abnormalities.
RESULTS:
Forty patients, 20 in group 1 and 20 in group 2, entered the study. The two groups turned out to be comparable for demographic, clinical and laboratory characteristics. Five patients (12.5%), two in group 1 and three in group 2, had abnormal myocardial perfusion assessed by SPECT. Neither the presence of CAA nor the overall cardiac involvement at the disease onset significantly increased the risk for these abnormalities.
CONCLUSION:
Cardiac SPECT abnormalities are not unusual in KD and can be found in patients with or without CAA. If confirmed in a larger cohort of patients, these preliminary data indicate that careful long-term cardiac follow-up should be considered, regardless of the presence of CAA.
PMID:
19712178
[PubMed - indexed for MEDLINE
Non-Invasive Continuous Glucose Monitoring: Identification of Models for Multi-Sensor Systems
No full textDiabetes is a disease that undermines the normal regulation of glucose levels in the blood. In people with diabetes, the body does not secrete insulin (Type 1 diabetes) or derangements occur in both insulin secretion and action (Type 2 diabetes). In
spite of the therapy, which is mainly based on controlled regimens of insulin and drug administration, diet, and physical exercise, tuned according to self-monitoring of blood glucose (SMBG) levels 3-4 times a day, blood glucose concentration often exceeds the normal range thresholds of 70-180 mg/dL. While hyperglycaemia mostly affects long-term complications (such as neuropathy, retinopathy, cardiovascular, and heart diseases), hypoglycaemia can be very dangerous in the short-term and, in the worst-case scenario, may bring the patient into hypoglycaemic coma. New scenarios in diabetes treatment have been opened in the last 15 years, when continuous glucose monitoring (CGM) sensors, able to monitor glucose concentration continuously (i.e. with a reading every 1 to 5 min) over several days, entered clinical research. CGM sensors can be used both retrospectively, e.g., to optimize the metabolic control, and in real-time applications, e.g., in the "smart" CGM sensors, able to generate alerts when glucose concentrations are predicted to exceed the normal range thresholds or in the so-called "artificial pancreas". Most CGM sensors exploit needles and are thus invasive, although minimally. In order to improve patients comfort, Non-Invasive Continuous Glucose Monitoring (NI-CGM) technologies have been widely investigated in the last years and their ability to monitor glucose changes in the human body has been demonstrated under highly controlled (e.g. in-clinic) conditions.
As soon as these conditions become less favourable (e.g. in daily-life use) several problems have been experienced that can be associated with physiological and environmental
perturbations. To tackle this issue, the multisensor concept received greater attention in the last few years. A multisensor consists in the embedding of sensors of different nature
within the same device, allowing the measurement of endogenous (glucose, skin perfusion, sweating, movement, etc.) as well as exogenous (temperature, humidity, etc.) factors.
The main glucose related signals and those measuring specific detrimental processes have to be combined through a suitable mathematical model with the final goal of estimating glucose non-invasively. White-box models, where differential equations are used to describe the internal behavior of the system, can be rarely considered to combine multisensor measurements because a physical/mechanistic model linking multisensor data
to glucose is not easily available. A more viable approach considers black-box models, which do not describe the internal mechanisms of the system under study, but rather depict how the inputs (channels from the non-invasive device) determine the output (estimated glucose values) through a transfer function (which we restrict to the class of multivariate linear models). Unfortunately, numerical problems usually arise in the
identication of model parameters, since the multisensor channels are highly correlated (especially for spectroscopy based devices) and for the potentially high dimension of the
measurement space.
The aim of the thesis is to investigate and evaluate different techniques usable for the identication of the multivariate linear regression models parameters linking multisensor data and glucose. In particular, the following methods are considered: Ordinary Least Squares (OLS); Partial Least Squares (PLS); the Least Absolute Shrinkage and Selection Operator (LASSO) based on l1 norm regularization; Ridge regression based on l2 norm regularization; Elastic Net (EN), based on the combination of the two previous norms. As a case study, we consider data from the Multisensor device mainly based on dielectric
and optical sensors developed by Solianis Monitoring AG (Zurich, Switzerland) which partially sponsored the PhD scholarship. Solianis Monitoring AG IP portfolio is now
held by Biovotion AG (Zurich, Switzerland). Forty-five recording sessions provided by Solianis Monitoring AG and collected in 6 diabetic human beings undertaken hypo and
hyperglycaemic protocols performed at the University Hospital Zurich are considered. The models identified with the aforementioned techniques using a data subset are then
assessed against an independent test data subset. Results show that methods controlling complexity outperform OLS during model test. In general, regularization techniques outperform PLS, especially those embedding the l1 norm (LASSO end EN), because they set many channel weights to zero thus resulting more robust to occasional spikes occurring in the Multisensor channels. In particular, the EN model results the best one,
sharing both the properties of sparseness and the grouping effect induced by the l1 and l2 norms respectively. In general, results indicate that, although the performance, in terms of overall accuracy, is not yet comparable with that of SMBG enzyme-based needle sensors, the Multisensor platform combined with the Elastic-Net (EN) models is a valid tool for the real-time monitoring of glycaemic trends. An effective application concerns the complement of sparse SMBG measures with glucose trend information within the recently developed concept of dynamic risk for the correct judgment of dangerous events such as hypoglycaemia.
The body of the thesis is organized into three main parts: Part I (including Chapters 1 to 4), first gives an introduction of the diabetes disease and of the current technologies for NI-CGM (including the Multisensor device by Solianis) and then states the aims of the thesis; Part II (which includes Chapters 5 to 9), first describes some of the issues to be faced in high dimensional regression problems, and then presents OLS, PLS, LASSO, Ridge and EN using a tutorial example to highlight their advantages and drawbacks; Finally, Part III (including Chapters 10-12), presents the case study with the data set and results. Some concluding remarks and possible future developments end the thesis. In particular, a Monte Carlo procedure to evaluate robustness of the calibration procedure for the Solianis Multisensor device is proposed, together with a new cost function to be used for identifying models
Il sistema costituzionale della magistratura
No full textIn questo volume sono studiati i principi e le regole che la Costituzione, la legge e la giurisprudenza (soprattutto quella della Corte costituzionale) hanno delineato in tema di organizzazione dell'ordine giudiziario, da una parte, e di funzione giurisdizionale, dall'altra. L'idea è quella di descrivere un insieme ordinato di principi e regole, relativo sia alla magistratura intesa come istituzione (come "potere" o, secondo la formula costituzionale, come "ordine"), sia alla giurisdizione intesa come funzione. Dunque "un sistema costituzionale", come recita il titolo del volume, basato su alcuni principi di fondo (autonomia, indipendenza, imparzialità) che danno il senso di ciò che è e di ciò che fa la magistratura nel nostro ordinamento. Ma anche un'attenzione non formalistica al ruolo fondamentale che l'attività giudiziaria ha svolto e sta svolgendo nell'evoluzione della vita pubblica. La quinta edizione risponde all'esigenza di tenere conto delle novità normative e giurisprudenziali degli ultimi anni. Approfondisce, inoltre, le questioni di maggiore interesse e attualità
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