0000000000376049
AUTHOR
F. Vella
Combined HACCP and TOPSIS-based approach to prioritize risks in the salmon manufacturing process: A case study
The food safety risk assessment is defined by the Codex Alimentarius Commission as the scientific evaluation of known or potential adverse health effects resulting from human exposure to food-borne hazards. Nowadays, the implementation of a systematic and disciplined risk assessment approach in the food safety field is recognized to be a powerful tool for carrying out science-based analyses and for reaching sound consistent solutions to food safety problems. With this recognition, a combined Hazard Analysis and Critical Control Point (HACCP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)-based approach is proposed in the present paper to prioritize risks of t…
Vision and emotional flow in a cognitive architecture for human-machine interaction
The detection and recognition of a human face should meet the need for social interaction that drives a humanoid robot, and it should be consistent with its cognitive model and the perceived scene. The paper deals with the description of the potential of having a system of emotional contagion, and proposes a simple implementation of it. An emotional index allows to build a mechanism which tends to align the emotional states of the robot and the human when a specific object is detected in the scene. Pursuing the idea of social interaction based on affect recognition, a first practical application capable of managing the emotional flow is described, involving both conceptual spaces and an emo…
Fuzzy Clustering of Histopathological Images Using Deep Learning Embeddings
Metric learning is a machine learning approach that aims to learn a new distance metric by increas- ing (reducing) the similarity of examples belonging to the same (different) classes. The output of these approaches are embeddings, where the input data are mapped to improve a crisp or fuzzy classifica- tion process. The deep metric learning approaches regard metric learning, implemented by using deep neural networks. Such models have the advantage to discover very representative nonlinear embed- dings. In this work, we propose a triplet network deep metric learning approach, based on ResNet50, to find a representative embedding for the unsupervised fuzzy classification of benign and maligna…
Outcomes of Patients Hospitalized with Community-Acquired, Health Care-Associated, and Hospital-Acquired Pneumonia
Background Traditionally, pneumonia has been classified as either community- or hospital-acquired. Although only limited data are available, health care-associated pneumonia has been recently proposed as a new category of respiratory infection. "Health care-associated pneumonia" refers to pneumonia in patients who have recently been hospitalized, had hemodialysis, or received intravenous chemotherapy or reside in a nursing home or long-term care facility. Objective To ascertain the epidemiology and outcome of community-acquired, health care-associated, and hospital-acquired pneumonia in adults hospitalized in internal medicine wards. Design Multicenter, prospective observational study. Sett…