Implementación de talleres extracurriculares para favorecer el proceso de aprendizaje en el área matemática de la FCE de la UNRC

Este trabajo presenta y analiza la implementación de una estrategia institucional en las asignaturas Análisis Matemático I y Análisis Matemático II de las carreras que se dictan en la Facultad de Ciencias Económicas de la Universidad Nacional de Río Cuarto. La misma está basada en una metodología de Taller y en el uso de TIC ( tecnologías de la información y de la comunicación). Esta propuesta, destinada a estudiantes que habían cursado las asignaturas y quedaron libres por parcial, tuvo como objetivo desarrollar estrategias cognitivas y al mismo tiempo favorecer la permanencia de los estudiantes en las mencionadas asignaturas. Consistieron en interpretar, debatir y responder grupal y colaborativamente, consignas escritas, extraídas de exámenes y actividades, culminando con la puesta en común de los grupos participantes. La valoración global de la experiencia es muy positiva, no obstante, se señala la dificultad de integrar herramientas TIC en el proceso de enseñanza y aprendizaje.Fil: Scattolini, Nancy.Fil: Cabrera, Silvia.Fil: Panella, Susana.Fil: Clerici, Jimena

Implementación de talleres extracurriculares para favorecer el proceso de aprendizaje en el área matemática de la FCE de la UNRC

Este trabajo presenta y analiza la implementación de una estrategia institucional en las asignaturas Análisis Matemático I y Análisis Matemático II de las carreras que se dictan en la Facultad de Ciencias Económicas de la Universidad Nacional de Río Cuarto. La misma está basada en una metodología de Taller y en el uso de TIC ( tecnologías de la información y de la comunicación). Esta propuesta, destinada a estudiantes que habían cursado las asignaturas y quedaron libres por parcial, tuvo como objetivo desarrollar estrategias cognitivas y al mismo tiempo favorecer la permanencia de los estudiantes en las mencionadas asignaturas. Consistieron en interpretar, debatir y responder grupal y colaborativamente, consignas escritas, extraídas de exámenes y actividades, culminando con la puesta en común de los grupos participantes. La valoración global de la experiencia es muy positiva, no obstante, se señala la dificultad de integrar herramientas TIC en el proceso de enseñanza y aprendizaje.Fil: Scattolini, Nancy.Fil: Cabrera, Silvia.Fil: Panella, Susana.Fil: Clerici, Jimena

A Longitudinal Exploration of Infants’ Social Looks in Naturalistic Settings

Most social referencing studies have examined how infants use non-verbal, affective information from an adult to disambiguate an uncertain object, an event or situation in order to regulate their behaviour (Campos & Stenberg,1981; Feinman,1982, 1992) using experimental designs within laboratory settings. Clyman, Emde, Kempe & Harmon, (1986) – responding to these highly contrived social referencing paradigms - conducted a semi-naturalistic study of social referencing and social looks to examine types of social looks functioning as infants’ gathering information from the adult. The authors created a typology of 8 types of social looks using a modified version of the ‘Stranger Situation’ paradigm. Despite Clyman et al.’s attempts to shift social referencing research into qualitative approaches, the study encountered some pragmatical and conceptual difficulties that affected the reliability of the typology. This thesis is an extension of the work conducted by Clyman et al., (1986) by longitudinally exploring social looks in naturalistic settings at three different developmental time points (Time 1=12-14 months; Time 2=15-17 months; Time 3=24-26 months). Through coding analysis of behavioural observations, a typology of 14 descriptive looking concepts was created, embedded within six different social dimensions. The novel typology was applied to a small cohort of infants at-risk of being autistic (n=2). Quantitative analysis provided additional information related to patterns of social looks amongst infants across time points as well as in comparison with the two infants at-risk. Results showed that infants used looking as both direct and indirect forms of social participation. Additionally, infants’ elicitation of social looks is characterised by being socially mediated by adults and highly influenced by the context, providing the necessary interpersonal information to make meaning of social interactions as well as macro-structural knowledge of norms and expectations of the setting. Distribution of looks showed that the two most prevalent categories across the three-time points corresponded to ‘Watching an Adult’ and ‘Glancing’. These findings differ from those of the Clyman et al., (1986) study, where ‘Initiates Bids for Interaction’ category – both short and long - represented the most frequent look. This thesis found similar results concerning social referencing looks, as represented one of the least frequent categories. Infants at-risk presented a different pattern of looking as ‘Glancing’ constituted the most prominent look followed by ‘Watching the Adult’. This thesis constitutes the first longitudinal study that conceptualises infants’ social looks within naturalistic settings, contributing to knowledge on attentional processes and how they might influence infants’ social development. Additionally, it provides preliminary data of possible differences in social looking in infants at-risk of being autistic

Prediction of fatty acid composition in intact and minced fat of European autochthonous pigs breeds by near infrared spectroscopy

The fatty acids profile has been playing a decisive role in recent years, thanks to technological, sensory and health demands from producers and consumers. The application of NIRS technique on fat tissues, could lead to more efficient, practical, and economical in the quality control. The study aim was to assess the accuracy of Fourier Transformed Near Infrared Spectroscopy technique to determine fatty acids composition in fat of 12 European local pig breeds. A total of 439 spectra of backfat were collected both in intact and minced tissue and then were analyzed using gas chromatographic analysis. Predictive equations were developed using the 80% of samples for the calibration, followed by full cross validation, and the remaining 20% for the external validation test. NIRS analysis of minced samples allowed a better response for fatty acid families, n6 PUFA, it is promising both for n3 PUFA quantification and for the screening (high, low value) of the major fatty acids. Intact fat prediction, although with a lower predictive ability, seems suitable for PUFA and n6 PUFA while for other families allows only a discrimination between high and low values.info:eu-repo/semantics/publishedVersio

AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

Recent epidemiological data report that worldwide more than 53 million people have been infected by SARS-CoV-2, resulting in 1.3 million deaths. The disease has been spreading very rapidly and few months after the identification of the first infected, shortage of hospital resources quickly became a problem. In this work we investigate whether chest X-ray (CXR) can be used as a possible tool for the early identification of patients at risk of severe outcome, like intensive care or death. CXR is a radiological technique that compared to computed tomography (CT) it is simpler, faster, more widespread and it induces lower radiation dose. We present a dataset including data collected from 820 patients by six Italian hospitals in spring 2020 during the first COVID-19 emergency. The dataset includes CXR images, several clinical attributes and clinical outcomes. We investigate the potential of artificial intelligence to predict the prognosis of such patients, distinguishing between severe and mild cases, thus offering a baseline reference for other researchers and practitioners. To this goal, we present three approaches that use features extracted from CXR images, either handcrafted or automatically by convolutional neuronal networks, which are then integrated with the clinical data. Exhaustive evaluation shows promising performance both in 10-fold and leave-one-centre-out cross-validation, implying that clinical data and images have the potential to provide useful information for the management of patients and hospital resources

Fatality rate and predictors of mortality in an Italian cohort of hospitalized COVID-19 patients

Clinical features and natural history of coronavirus disease 2019 (COVID-19) differ widely among different countries and during different phases of the pandemia. Here, we aimed to evaluate the case fatality rate (CFR) and to identify predictors of mortality in a cohort of COVID-19 patients admitted to three hospitals of Northern Italy between March 1 and April 28, 2020. All these patients had a confirmed diagnosis of SARS-CoV-2 infection by molecular methods. During the study period 504/1697 patients died; thus, overall CFR was 29.7%. We looked for predictors of mortality in a subgroup of 486 patients (239 males, 59%; median age 71 years) for whom sufficient clinical data were available at data cut-off. Among the demographic and clinical variables considered, age, a diagnosis of cancer, obesity and current smoking independently predicted mortality. When laboratory data were added to the model in a further subgroup of patients, age, the diagnosis of cancer, and the baseline PaO2/FiO2 ratio were identified as independent predictors of mortality. In conclusion, the CFR of hospitalized patients in Northern Italy during the ascending phase of the COVID-19 pandemic approached 30%. The identification of mortality predictors might contribute to better stratification of individual patient risk

Report from Working Group 3: Beyond the standard model physics at the HL-LHC and HE-LHC

This is the third out of five chapters of the final report [1] of the Workshop on Physics at HL-LHC, and perspectives on HE-LHC [2]. It is devoted to the study of the potential, in the search for Beyond the Standard Model (BSM) physics, of the High Luminosity (HL) phase of the LHC, defined as $3$ ab$^{-1}$ of data taken at a centre-of-mass energy of 14 TeV, and of a possible future upgrade, the High Energy (HE) LHC, defined as $15$ ab$^{-1}$ of data at a centre-of-mass energy of 27 TeV. We consider a large variety of new physics models, both in a simplified model fashion and in a more model-dependent one. A long list of contributions from the theory and experimental (ATLAS, CMS, LHCb) communities have been collected and merged together to give a complete, wide, and consistent view of future prospects for BSM physics at the considered colliders. On top of the usual standard candles, such as supersymmetric simplified models and resonances, considered for the evaluation of future collider potentials, this report contains results on dark matter and dark sectors, long lived particles, leptoquarks, sterile neutrinos, axion-like particles, heavy scalars, vector-like quarks, and more. Particular attention is placed, especially in the study of the HL-LHC prospects, to the detector upgrades, the assessment of the future systematic uncertainties, and new experimental techniques. The general conclusion is that the HL-LHC, on top of allowing to extend the present LHC mass and coupling reach by $20-50\%$ on most new physics scenarios, will also be able to constrain, and potentially discover, new physics that is presently unconstrained. Moreover, compared to the HL-LHC, the reach in most observables will, generally more than double at the HE-LHC, which may represent a good candidate future facility for a final test of TeV-scale new physics