Search results for "Predictive"
showing 10 items of 1373 documents
MR-Tomographie versus CT-Arthrographie bei glenohumeralen Instabilitäten
1992
In a prospective study the diagnostic value of MRI compared to CT arthrography (CT-A) was evaluated in 26 patients with 27 instable shoulder joints. Surgical and/or arthroscopic correlation was available in all cases. Both methods showed a high accuracy (96% CT-A, 94% MRI) in the evaluation of the glenoid labrum. CT-A was significantly superior to MRI in the detection of capsular lesions (sensitivity 96% vs. 44%, accuracy 96% vs. 72%, negative predictive value 96% vs. 67%). CT-A and MRI results regarding humeral head fractures were similar; fractures of the glenoid rim were better detected by CT-A, the difference, however, was statistically not significant. Overall, CT-A proved to be superi…
Brain integrative function driven by musical training during real-world music listening
2017
The present research investigated differences in the brain dynamics of continuous, real-world music listening between listeners with and without professional musical training, using functional magnetic resonance imaging (fMRI). A replication study was aimed at validating the reliability of the naturalistic approach to studying brain responses to music, wherein the brain signal and the acoustic information extracted from the musical stimulus were correlated. After a successful replication, a series of three studies dealt with differences in integrative brain function during music listening between musicians and nonmusicians. Findings (a) emphasized the crucial role of the distinctive postura…
Trans-Contextual Model Predicting Change in Out-of-School Physical Activity: A One-Year Longitudinal Study
2021
The aim of the current study was to test the long-term predictive validity of the trans-contextual model in accounting for variance in adolescents’ out-of-school physical activity measured by self-report and accelerometer based-devices over a one-year period. Secondary school students ( N = 265) aged 11 to 15 years completed a three-wave survey on two occasions in time, spanning a one-year interval, measuring perceived autonomy support in physical education (PE), peer and parent autonomy support in leisure-time, autonomous and controlled motivation in PE and leisure-time, attitude, subjective norms, perceived behavioural control, intention, and out-of-school physical activity both by sel…
Predictors of long-term outcomes in patients undergoing periodontal maintenance
2017
Abstract Aim This retrospective study aimed to characterize the baseline status of patients following periodontal maintenance, analysing the association between the long‐term outcome of these patients, smoking, bruxism, and the main clinical and radiographic variables. Material and methods A sample of 174 patients with moderate to severe periodontitis was refined into homogeneous subsamples according to smoking and bruxism and the rate of tooth loss due to periodontal disease (TLPD): 0, 1–2, and >2 teeth. The association and the distribution (χ² test) of the variables within the subsamples were analysed. Results Smoking and bruxism were significantly associated with higher TLPD rates. Verti…
Mixed estimation technique in semi-parametric space-time point processes for earthquake description
2013
An estimation approach for the semi-parametric intensity function of a particular space-time point process is introduced. In particular we want to account for the estimation of parametric and nonparametric components simultaneously, applying a forward predictive likelihood to semi-parametric models. For each event, the probability of being a background event or one belonging to a seismic sequence is therefore estimated.
Data from: The oxidative cost of reproduction depends on early development oxidative stress and sex in a bird species
2016
In the early 2000’s, a new component of the cost of reproduction was proposed: oxidative stress. Since then the oxidative cost of reproduction hypothesis has, however, received mixed support. Different arguments have been provided to explain this. Among them, the lack of a life history perspective on most experimental tests was suggested. We manipulated the levels of a key intracellular antioxidant (glutathione) in captive zebra finches (Taeniopygia guttata) during a short period of early life and subsequently tested the oxidative cost of reproduction. Birds were allowed to mate freely in an outdoor aviary during several months. We repeatedly enlarged or reduced their broods to increase or …
Dataset related to article "Development and external validation of a clinical prediction model for functional impairment after intracranial tumor sur…
2021
Anonymised clinical database containing information (Age, sex, prior surgery, tumor histology and maximum diameter, expected major brain vessel or cranial nerve manipulation, resection in eloquent areas and the posterior fossa, and surgical approach were recorded) about patients of Fondazione IRCCS Istituto Besta analysed for the article “Development and external validation of a clinical prediction model for functional impairment after intracranial tumor surgery”
A Feasible Framework for Maintenance Digitalization
2023
The entire industry is changing as a result of new developments in digital technology, and maintenance management is a crucial procedure that may take advantage of the opportunities brought about by industrial digitalization. To support digital innovation in maintenance management, this study intends to meet the cutting-edge necessity of addressing a transformation strategy in industrial contexts. Setting up a customized pathway with adequate methodologies, digitalization tools, and collaboration between the several stakeholders involved in the maintenance environment is the first step in this process. The results of a previous conference contribution, which revealed important digitalizatio…
Explainable AI for Industry 4.0 : Semantic Representation of Deep Learning Models
2022
Artificial Intelligence is an important asset of Industry 4.0. Current discoveries within machine learning and particularly in deep learning enable qualitative change within the industrial processes, applications, systems and products. However, there is an important challenge related to explainability of (and, therefore, trust to) the decisions made by the deep learning models (aka black-boxes) and their poor capacity for being integrated with each other. Explainable artificial intelligence is needed instead but without loss of effectiveness of the deep learning models. In this paper we present the transformation technique between black-box models and explainable (as well as interoperable) …
Adaptive Methodology for Designing a Predictive Model of Cardiac Arrhythmia Symptoms Based on Cubic Neural Unit
2017
A cubic neural unit is a kind of a higher-order neural unit which can be used for prediction tasks among others, in the medical field. The example of the tasks includes monitoring cardiac behavior in real-time either for preemptive treatment, or for supporting a doctor to reach a more accurate diagnosis. We propose a predictive model which has been developed as an application in open source code with the aim to make it publicly accessible for research community and medical professionals and also to decrease the implementation cost. The proposed model uses sample-by-sample adaptation of the gradient descent method with error backpropagation. This paper presents an application of a cubic neur…