30 research outputs found
Replication data for 'Looking for BVER into the GRASS'
No full textData and code used for the development of an archaeological inductive predictive model in the southern lake Maggiore (Verbano) area, between Lombardy and Piedmont, Italy. BVER is for "Basso VERbano" (Lower Verbano).
The inductive predictive model was originally created as a part of a full scale archaeological research in the area, supported by the Cattedra di Archeologia Cristiana, Tardoantica e Medievale (Chair of Christian, Late Antiquity and Medieval Archaeology) of the University of Milan, department of Cultural and Environmental Heritage.
The current work investigates the settlement dynamics of the lower Verbano area between the Iron Age and the Middle Ages. The known archaeological sites, obtained from the public database GNA (Geoportale Nazionale per l'Archeologia), together with a series of physical characteristics of the area, were used as predictors for the calculation of an inductive predictive model. The results show the shortcomings of this methodology in the field of predictive archaeology without an ethnoarchaeological premise.
The model is primarily intended to test the reliability of inductive predictive modelling in understanding ancient settlement patterns. The results will then be further discussed and developed
Un algorithme pour la phase d'adaptation du raisonnement à partir de cas
No full textColloque avec actes et comité de lecture. nationale.National audienceCette étude est une contribution à la conception d'un algorithme général d'adaptation en raisonnement à partir de cas (RàPC). Le processus d'adaptation constitue une phase importante et complexe du RàPC qui est la plupart du temps conçue pour une application spécifique. Cet article présente un algorithme d'adaptation indépendant du domaine d'application. Les cas sont décrits par un ensemble de descripteurs dont les valeurs sont des nombres ou des contraintes locales sous la forme d'intervalles numériques. l'algorithme détermine, pour chacun de ces descripteurs un intervalle de valeurs admissibles en combinant une solution source, un appariement exprimé sous la forme d'intervalles de variations et des dépendances entre le problème source et sa solution. Cette approche générique de l'adaptation est opérationnelle et introduit des opérateurs d'adaptation généraux et indépendants du domaine d'application
Un algorithme pour la phase d'adaptation du raisonnement à partir de cas
No full textColloque avec actes et comité de lecture. nationale.National audienceCette étude est une contribution à la conception d'un algorithme général d'adaptation en raisonnement à partir de cas (RàPC). Le processus d'adaptation constitue une phase importante et complexe du RàPC qui est la plupart du temps conçue pour une application spécifique. Cet article présente un algorithme d'adaptation indépendant du domaine d'application. Les cas sont décrits par un ensemble de descripteurs dont les valeurs sont des nombres ou des contraintes locales sous la forme d'intervalles numériques. l'algorithme détermine, pour chacun de ces descripteurs un intervalle de valeurs admissibles en combinant une solution source, un appariement exprimé sous la forme d'intervalles de variations et des dépendances entre le problème source et sa solution. Cette approche générique de l'adaptation est opérationnelle et introduit des opérateurs d'adaptation généraux et indépendants du domaine d'application
An Algorithm for Adaptation in Case-based Reasoning
No full textColloque avec actes et comité de lecture. internationale.International audienceThe adaptation process is an important and complex step of case-based reasoning (CBR) and is most of the time designed for a specific application. This article presents a domain-independent algorithm for adaptation in CBR. Cases are mapped to a set of numerical descriptors filled with values and local constraint intervals. The algorithm computes every target solution descriptor by combining a source solution, a matching expressed as intervals of variations and dependencies between the source problem and its solution. It determines for every target solution descriptor an interval of the admissible values. In this interval, actual values satisfying global constraints can be chosen. This generic approach to adaptation is operational and introduces general and domain-independent adaptation operators. Therefore, this study is a contribution to the design of a general algorithm for adaptation in CBR
An Algorithm for Adaptation in Case-based Reasoning
No full textColloque avec actes et comité de lecture. internationale.International audienceThe adaptation process is an important and complex step of case-based reasoning (CBR) and is most of the time designed for a specific application. This article presents a domain-independent algorithm for adaptation in CBR. Cases are mapped to a set of numerical descriptors filled with values and local constraint intervals. The algorithm computes every target solution descriptor by combining a source solution, a matching expressed as intervals of variations and dependencies between the source problem and its solution. It determines for every target solution descriptor an interval of the admissible values. In this interval, actual values satisfying global constraints can be chosen. This generic approach to adaptation is operational and introduces general and domain-independent adaptation operators. Therefore, this study is a contribution to the design of a general algorithm for adaptation in CBR
An Algorithm for Adaptation in Case-based Reasoning
No full textColloque avec actes et comité de lecture. internationale.International audienceThe adaptation process is an important and complex step of case-based reasoning (CBR) and is most of the time designed for a specific application. This article presents a domain-independent algorithm for adaptation in CBR. Cases are mapped to a set of numerical descriptors filled with values and local constraint intervals. The algorithm computes every target solution descriptor by combining a source solution, a matching expressed as intervals of variations and dependencies between the source problem and its solution. It determines for every target solution descriptor an interval of the admissible values. In this interval, actual values satisfying global constraints can be chosen. This generic approach to adaptation is operational and introduces general and domain-independent adaptation operators. Therefore, this study is a contribution to the design of a general algorithm for adaptation in CBR
An Algorithm for Adaptation in Case-based Reasoning
No full textColloque avec actes et comité de lecture. internationale.International audienceThe adaptation process is an important and complex step of case-based reasoning (CBR) and is most of the time designed for a specific application. This article presents a domain-independent algorithm for adaptation in CBR. Cases are mapped to a set of numerical descriptors filled with values and local constraint intervals. The algorithm computes every target solution descriptor by combining a source solution, a matching expressed as intervals of variations and dependencies between the source problem and its solution. It determines for every target solution descriptor an interval of the admissible values. In this interval, actual values satisfying global constraints can be chosen. This generic approach to adaptation is operational and introduces general and domain-independent adaptation operators. Therefore, this study is a contribution to the design of a general algorithm for adaptation in CBR
An Algorithm for Adaptation in Case-based Reasoning
No full textColloque avec actes et comité de lecture. internationale.International audienceThe adaptation process is an important and complex step of case-based reasoning (CBR) and is most of the time designed for a specific application. This article presents a domain-independent algorithm for adaptation in CBR. Cases are mapped to a set of numerical descriptors filled with values and local constraint intervals. The algorithm computes every target solution descriptor by combining a source solution, a matching expressed as intervals of variations and dependencies between the source problem and its solution. It determines for every target solution descriptor an interval of the admissible values. In this interval, actual values satisfying global constraints can be chosen. This generic approach to adaptation is operational and introduces general and domain-independent adaptation operators. Therefore, this study is a contribution to the design of a general algorithm for adaptation in CBR
Activation of cardiac renin-angiotensin system in unstable angina
No full textAbstractOBJECTIVESThe aim of this study was to investigate the activity of the cardiac renin-angiotensin system (RAS) in unstable angina (UA).BACKGROUNDAngiotensin (Ang) II locally produced by continuously operating cardiac RAS may affect the pathophysiology of UA.METHODSIn 35 patients with UA, 32 with stable effort angina (SA) and 21 with atypical chest pain (controls), cardiac RAS was investigated during coronary angiography after five days of Holter monitoring by combining the measurement of aorta-coronary sinus gradient for Ang I and Ang II with the kinetics study of 125I-Ang I. Messenger RNAs (mRNA) for all the components of RAS were also quantified with the reverse transcriptase-polymerase chain reaction (RT-PCR) and localized by in situ hybridization in myocardial biopsy specimens from patients who underwent aorta-coronary bypass surgery.RESULTSCardiac Ang II generation was higher in patients with UA than it was in patients with SA or in controls (p < 0.001) due to increased de novo cardiac Ang I formation and its enhanced fractional conversion rate to Ang II. Messenger RNA levels for angiotensinogen (AGTN), angiotensin-converting enzyme (ACE) and Ang II type 1 (AT1) subtype receptors were higher in patients with UA (p < 0.01) than they were in patients with SA or in control hearts. Messenger RNAs for AGTN and ACE were almost exclusively expressed on endothelial and interstitial cells. Angiotensin II formation was correlated with ischemia burden (p < 0.001). However, the amount of Ang II formed and the expression levels of mRNAs for AGTN, ACE and AT1 were not related to the time that had elapsed since the last anginal attack.CONCLUSIONSIn patients with UA, cardiac RAS is activated, resulting in increased Ang II formation. Myocardial ischemia is essential for RAS activation, but it is unlikely to be a direct and immediate cause of RAS activation
Reshaping of Italian Echocardiographic Laboratories Activities during the Second Wave of COVID-19 Pandemic and Expectations for the Post-Pandemic Era
No full textBackground: Cardiology divisions reshaped their activities during the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to analyze the organization of echocardiographic laboratories and echocardiography practice during the second wave of the COVID-19 pandemic in Italy, and the expectations for the post-COVID era. Methods: We analyzed two different time periods: the month of November during the second wave of the COVID-19 pandemic (2020) and the identical month during 2019 (November 2019). Results: During the second wave of the COVID-19 pandemic, the hospital activity was partially reduced in 42 (60%) and wholly interrupted in 3 (4%) echocardiographic laboratories, whereas outpatient echocardiographic activity was partially reduced in 41 (59%) and completely interrupted in 7 (10%) laboratories. We observed an important change in the organization of activities in the echocardiography laboratory which reduced the operator-risk and improved self-protection of operators by using appropriate personal protection equipment. Operators wore FFP2 in 58 centers (83%) during trans-thoracic echocardiography (TTE), in 65 centers (93%) during transesophageal echocardiography (TEE) and 63 centers (90%) during stress echocardiography. The second wave caused a significant reduction in number of echocardiographic exams, compared to November 2019 (from 513 ± 539 to 341 ± 299 exams per center, −34%, p < 0.001). On average, there was a significant increase in the outpatient waiting list for elective echocardiographic exams (from 32.0 ± 28.1 to 45.5 ± 44.9 days, +41%, p < 0.001), with a reduction of in-hospital waiting list (2.9 ± 2.4 to 2.4 ± 2.0 days, −17%, p < 0.001). We observed a large diffusion of point-of-care cardiac ultrasound (88%), with a significant increase of lung ultrasound usage in 30 centers (43%) during 2019, extended to all centers in 2020. Carbon dioxide production by examination is an indicator of the environmental impact of technology (100-fold less with echocardiography compared to other cardiac imaging techniques). It was ignored in 2019 by 100% of centers, and currently it is considered potentially crucial for decision-making in cardiac imaging by 65 centers (93%). Conclusions: In one year, major changes occurred in echocardiography practice and culture. The examination structure changed with extensive usage of point-of-care cardiac ultrasound and with lung ultrasound embedded by default in the TTE examination, as well as the COVID-19 testing
