Results 71 to 80 of about 83,048 (260)
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
LABES, SCAVO E STRATIGRAFIA ARCHEOLOGICA QUALE OCCASIONE ATTIVA DEL PROGETTO URBANO
Labes è un progetto plurifunzionale che pone al centro l’archeologia e ne promuove il ruolo attivo nei processi economici, sociali, architettonici e urbani della città di Roma.
Antonino Saggio +2 more
doaj
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk +4 more
wiley +1 more source
This article is about the rights of the Roma in Sweden and the level of discrimination that Roma are facing. The aims and objectives of the article is theoretical and practical understanding of the situation of the Roma and their human rights through our
Berat David
doaj +1 more source
Context‐Aware Semiautonomous Control for Upper‐Limb Prostheses
A semiautonomous prosthetic control strategy integrates electromyographic‐based intention with computer vision‐driven grasp adaptation and wrist orientation. Comparative experiments with functional tasks evaluate performance, usability, and cognitive workload.
Gianmarco Cirelli +7 more
wiley +1 more source
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source
Lost in aggregation? On the importance of local food price data for food poverty estimates
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich +4 more
wiley +1 more source
Pareciera que cuando se habla de Roma todo está dicho. Sin embargo creo que los temas que voy a tratar son casi desconocidos para la inmensa mayoría de los turistas que visitan la ciudad de los papas. Me referiré, muy someramente por cierto, a dos especies de curiosidades romanas: las Estatuas parlantes y La puerta mágica.
openaire +1 more source
Optimizing Diagnostic Accuracy of Clinical Red Flags in RASopathies
ABSTRACT RASopathies are a group of genetic disorders caused by pathogenic variants in the RAS‐mitogen‐activated protein kinase (RAS–MAPK) signaling pathway, often presenting with congenital heart defects, craniofacial dysmorphisms, and developmental delays. To assess the diagnostic yield of genetic testing in patients with suspected RASopathies and to
Emanuele Bobbio +16 more
wiley +1 more source
ABSTRACT Noonan syndrome (NS) and the clinically related Noonan syndrome with multiple lentigines (NSML) belong to the group of RASopathies. Although pain is not mentioned as a characteristic feature, it has recently been reported as a clinically significant problem.
Jos M. T. Draaisma +12 more
wiley +1 more source

