Photogrammetric Survey for a Fast Construction of Synthetic Dataset

In this work we show how Physically Based Rendering (PBR) tools can be used to extend the training image datasets of Machine Learning (ML) algorithms for the recognition of built heritage. In the field of heritage valorization, the combination of Artificial Intelligence (AI) and Augmented Reality (AR) has allowed to recognize built heritage elements with mobile devices, anchoring digital products to the physical environment in real time, thus making the access to information related to real space more intuitive and effective. However, the availability of training data required for these systems is extremely limited and a large–scale image dataset is required to achieve accurate results in image recognition. Manually collecting and annotating images can be very resource and time–consuming. In this contribution we explore the use of PBR tools as a viable alternative to supplement an otherwise inadequate dataset

DEcay Classification using Artificial Intelligence

The paper presents DECAI - DEcay Classification using Artificial Intelligence, a novel study using machine learning algorithms to identify materials, degradations or surface gaps of an architectural artefact in a semi-automatic way. A customised software has been developed to allow the operator to choose which categories of materials to classify, and selecting sample data from an orthophoto of the artefact to train the machine learning algorithms. Thanks to Visual Programming Language algorithms, the classification results are directly imported into the H-BIM environment and used to enrich the H-BIM model of the artefact. To date, the developed tool is dedicated to research use only; future developments will improve the graphical interface to make this tool accessible to a wider public

Deep Learning for real-time neural decoding of grasp

Neural decoding involves correlating signals acquired from the brain to variables in the physical world like limb movement or robot control in Brain Machine Interfaces. In this context, this work starts from a specific pre-existing dataset of neural recordings from monkey motor cortex and presents a Deep Learning-based approach to the decoding of neural signals for grasp type classification. Specifically, we propose here an approach that exploits LSTM networks to classify time series containing neural data (i.e., spike trains) into classes representing the object being grasped. The main goal of the presented approach is to improve over state-of-the-art decoding accuracy without relying on any prior neuroscience knowledge, and leveraging only the capability of deep learning models to extract correlations from data. The paper presents the results achieved for the considered dataset and compares them with previous works on the same dataset, showing a significant improvement in classification accuracy, even if considering simulated real-time decoding

AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0

The advancements in human-centered artificial intelligence (HCAI) systems for Industry 5.0 is a new phase of industrialization that places the worker at the center of the production process and uses new technologies to increase prosperity beyond jobs and growth. HCAI presents new objectives that were unreachable by either humans or machines alone, but this also comes with a new set of challenges. Our proposed method accomplishes this through the knowlEdge architecture, which enables human operators to implement AI solutions using a zero-touch framework. It relies on containerized AI model training and execution, supported by a robust data pipeline and rounded off with human feedback and evaluation interfaces. The result is a platform built from a number of components, spanning all major areas of the AI lifecycle. We outline both the architectural concepts and implementation guidelines and explain how they advance HCAI systems and Industry 5.0. In this article, we address the problems we encountered while implementing the ideas within the edge-to-cloud continuum. Further improvements to our approach may enhance the use of AI in Industry 5.0 and strengthen trust in AI systems

Designing Logic Tensor Networks for Visual Sudoku puzzle classification

Given the increasing importance of the neurosymbolic (NeSy) approach in artificial intelligence, there is a growing interest in studying benchmarks specifically designed to emphasize the ability of AI systems to combine low-level representation learning with high-level symbolic reasoning. One such recent benchmark is Visual Sudoku Puzzle Classification, that combines visual perception with relational constraints. In this work, we investigate the application of Logic Tensork Networks (LTNs) to the Visual Sudoku Classification task and discuss various alternatives in terms of logical constraint formulation, integration with the perceptual module and training procedure

Pathways of glomerular toxicity of cyclosporine-A: an "in vitro" study

BACKGROUND/AIMS: Knowledge of renal toxicity of cyclosporine-A (CyA) is clouded by multiple effects on different glomerular and tubular cells and on kidney and systemic hemodynamics. To focus on glomerular action of CyA we used glomeruli isolated in vitro, with the aim of dissecting the effects on recruitment of glomerular vasoconstricting systems, like endothelin-1 (ET) and angiotensins (AI and AII). METHODS: We studied the pathways of CyA damage on pig glomeruli isolated in vitro with the technique of sieving through mesh filters of different sizes, and incubated in an appropriate culture medium. The supernatant was sampled at different time intervals to measure ET, AI and AII concentrations upon addition of ET 10(-12) or CyA 4x10(-7)M, with or without either selective endothelin receptor A (ETA) or B (ETB), or unselective ETA-ETB receptor inhibitors. RESULTS: CyA increased ET concentration (from 9.7+/-0.3 to 11.4+/-0.4 pgxml-1, p<0.002), and the added ET released AI in the medium (from 26.6+/-4.7 to 39.1+/-4.6 pgxml-1, p<0.05) when ETB receptors were blocked. In contrast, CyA stimulated angiotensins release independent of ET receptors blockade, hence, irrespective of ET concentration in the medium, from 26.6+/-4.7 to 38.0+/-2.1 pgxml-1 for AI, p<0.05, and from 12.3+/-1.0 to 14.8+/-0.9 pgxml-1 for AII, p<0.05. CONCLUSION: CyA releases ET and angiotensins independently by a direct action. Glomerular CyA toxicity might be mediated by recruitment of vasoconstricting peptides and modulated by relative ETA and ETB receptor occupancy

In vitro effect of cyclosporine-A on angiotensins secretion by glomerular cells

AIM: Cyclosporine-A (CyA) is used to control transplant rejections and to treat autoimmune diseases. We investigated the possibility that changes induced by CyA on endothelin 1 (ET), angiotensin I (AI) and angiotensin II (AII) concentrations recognize a common pathway through which different mechanisms operate. METHODS: We measured ET, AI and AII concentrations, before and after either ET or CyA addition to the incubation medium of glomeruli of pig kidneys, isolated in vitro. The measurements were carried out with or without selective (ET(A) and ET(B)) or unselective ET(A)-ET(B) receptor inhibitors. RESULTS: In the presence of CyA, AI and ET are positively correlated either when ET(B) receptors are blocked, or when both receptors are free, while this correlation becomes negative when ET(A) receptors alone are blocked. Adding ET to the medium, the correlations between AI and ET are negative when either ET(A), or ET(B) or both are blocked. The effects of CyA and ET are significant only during the first 2 h of incubation. CONCLUSION: Cyclosporine-A recruits angiotensins and ET through ET(A) receptors, a mechanism possibly responsible of glomerular damage. This stimulation is time-dependent. Prevention of the renal damage from CyA should require selective ET(A) receptor blockade

Pathways of glomerular toxicity of cyclosporine-A: an "in vitro" study

BACKGROUND/AIMS: Knowledge of renal toxicity of cyclosporine-A (CyA) is clouded by multiple effects on different glomerular and tubular cells and on kidney and systemic hemodynamics. To focus on glomerular action of CyA we used glomeruli isolated in vitro, with the aim of dissecting the effects on recruitment of glomerular vasoconstricting systems, like endothelin-1 (ET) and angiotensins (AI and AII). METHODS: We studied the pathways of CyA damage on pig glomeruli isolated in vitro with the technique of sieving through mesh filters of different sizes, and incubated in an appropriate culture medium. The supernatant was sampled at different time intervals to measure ET, AI and AII concentrations upon addition of ET 10(-12) or CyA 4x10(-7)M, with or without either selective endothelin receptor A (ETA) or B (ETB), or unselective ETA-ETB receptor inhibitors. RESULTS: CyA increased ET concentration (from 9.7+/-0.3 to 11.4+/-0.4 pgxml-1, p<0.002), and the added ET released AI in the medium (from 26.6+/-4.7 to 39.1+/-4.6 pgxml-1, p<0.05) when ETB receptors were blocked. In contrast, CyA stimulated angiotensins release independent of ET receptors blockade, hence, irrespective of ET concentration in the medium, from 26.6+/-4.7 to 38.0+/-2.1 pgxml-1 for AI, p<0.05, and from 12.3+/-1.0 to 14.8+/-0.9 pgxml-1 for AII, p<0.05. CONCLUSION: CyA releases ET and angiotensins independently by a direct action. Glomerular CyA toxicity might be mediated by recruitment of vasoconstricting peptides and modulated by relative ETA and ETB receptor occupancy

Measurement of Acute Pain in the Pediatric Emergency Department Through Automatic Detection of Behavioral Parameters: A Pilot Study

Acute pain is a frequent symptom in children who access the Emergency Department (ED). Its measurement through validated tools compatible with the time of triage is essential to develop the most appropriate pain-relieving strategy. The algometric scales that can be used in children in whom self-assessment is not possible are based on the evaluation of behavioral and physiological parameters. However, the actual use of algometric scales in the ED is scarce due to environmental factors, heterogeneity of the scales and lack of training, thus making automated pain assessment desirable. In this study, we propose a camera-based system to provide an objective and contactless pain assessment in children aged less than 3 years, through the automatic detection of behavioral parameters from video recordings. To investigate the feasibility of its usage in the ED environment, we collected video recordings of healthy children aged 3–36 months admitted to the ED with acute pain as the main or accompanying symptom, while pain was measured by a healthcare professional according to the Face, Legs, Activity, Cry, and Consolability (FLACC) pain scale. For the recorded videos, we compared the scores for the items Face (F), Legs (L) and Activity (A) given by the operator with the ones given by our system, analyzing the potentiality and limitations of our approach. By showing that automatic pain assessment in young children in the ED could integrate human evaluation to make it easier and faster, without substituting it, we provide the basis for further research in this field

In vitro effect of cyclosporine-A on angiotensins secretion by glomerular cells

AIM: Cyclosporine-A (CyA) is used to control transplant rejections and to treat autoimmune diseases. We investigated the possibility that changes induced by CyA on endothelin 1 (ET), angiotensin I (AI) and angiotensin II (AII) concentrations recognize a common pathway through which different mechanisms operate. METHODS: We measured ET, AI and AII concentrations, before and after either ET or CyA addition to the incubation medium of glomeruli of pig kidneys, isolated in vitro. The measurements were carried out with or without selective (ET(A) and ET(B)) or unselective ET(A)-ET(B) receptor inhibitors. RESULTS: In the presence of CyA, AI and ET are positively correlated either when ET(B) receptors are blocked, or when both receptors are free, while this correlation becomes negative when ET(A) receptors alone are blocked. Adding ET to the medium, the correlations between AI and ET are negative when either ET(A), or ET(B) or both are blocked. The effects of CyA and ET are significant only during the first 2 h of incubation. CONCLUSION: Cyclosporine-A recruits angiotensins and ET through ET(A) receptors, a mechanism possibly responsible of glomerular damage. This stimulation is time-dependent. Prevention of the renal damage from CyA should require selective ET(A) receptor blockade