1,720,967 research outputs found
IUGR fetuses < 32 weeks: from timing to delivery to medico-legal aspects
No full textObjective: in a previous multicenter study we shown that the best condition to deliver an IUGR fetus is in the moment gestati age is > 28 weeks, birth weight 600 gr and absence of diastolic flow in the umbilical artery.
In the present study we assessed the efficacy to counsel the patient if the above conditions are not meet.
Methods: from 2006 to 2007 32 patients were referred to our Univesity hospital because of IUGR with gestational age < 28 weeks, EFW < 600gr and Doppler abnormalities in arterial and venous compartments.
12 patients were delivered on the decision made by the attending physitian and 20 were counseled before by a perinatologiest neonatologiest.
Results: among the 12 patients not counseled all the newborn showed morbidity and there were 4 neonatal death, 6 patients for litigation.
The 20 patients counseled, there were 2 neonatal deaths and all the fetuses showed morbidity.
Conclusions: the best behaviour to avoid litigation is to counsel the patient and/or the couple to advise of a possible fetal death and the patient and/or the couple desire continuing pregnancy or a high morbidity and mortality rate in case of a cesarean sectio
Statistical Mechanics of Transfer Learning in Fully Connected Networks in the Proportional Limit
No full textTransfer learning (TL) is a well-established machine learning technique to boost the generalization performance on a specific (target) task using information gained from a related (source) task, and it crucially depends on the ability of a network to learn useful features. Leveraging recent analytical progress in the proportional regime of deep learning theory (i.e., the limit where the size of the training set P and the size of the hidden layers N are taken to infinity keeping their ratio alpha = P/N finite), in this Letter we develop a novel single-instance Franz-Parisi formalism that yields an effective theory for TL in fully connected neural networks. Unlike the (lazy-training) infinite-width limit, where TL is ineffective, we demonstrate that in the proportional limit TL occurs due to a renormalized source-target kernel that quantifies their relatedness and determines whether TL is beneficial for generalization
From statistical inference to a differential learning rule for stochastic neural networks
No full textStochastic neural networks are a prototypical computational device able to build a probabilistic representation of an ensemble of external stimuli. Building on the relationship between inference and learning, we derive a synaptic plasticity rule that relies only on delayed activity correlations, and that shows a number of remarkable features. Our delayed-correlations matching (DCM) rule satisfies some basic requirements for biological feasibility: finite and noisy afferent signals, Dale's principle and asymmetry of synaptic connections, locality of the weight update computations. Nevertheless, the DCM rule is capable of storing a large, extensive number of patterns as attractors in a stochastic recurrent neural network, under general scenarios without requiring any modification: it can deal with correlated patterns, a broad range of architectures (with or without hidden neuronal states), one-shot learning with the palimpsest property, all the while avoiding the proliferation of spurious attractors. When hidden units are present, our learning rule can be employed to construct Boltzmann machine-like generative models, exploiting the addition of hidden neurons in feature extraction and classification tasks
An Intelligent Procedure to Support the Selection of EMG Probes Location for Gait Analysis
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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