Search results for "SAF"
showing 10 items of 2183 documents
Fruit and Vegetable Derived Waste as a Sustainable Alternative Source of Nutraceutical Compounds
2018
Dietary phytochemicals are widely investigated in the eld of chemistry, biology, nutrition, and medicine for their potential health-promoting eects. Indeed, many in vitro and in vivo studies provide evidence that a number of these compounds are involved in the prevention and/or control of chronic disorders such as cancer and cardiovascular diseases. e exponential growth of plant waste production from the agrofood industry is a critical global issue, considering its storage, disposal, environmental impact, and potential health risks. However, the exploitation of plant wastes/by-products for the recovery of added-value compounds oers new avenue for industrial growth and waste management. I…
Error-Based Interference Detection in WiFi Networks
2017
In this paper we show that inter-technology interference can be recognized by commodity WiFi devices by monitoring the statistics of receiver errors. Indeed, while for WiFi standard frames the error probability varies during the frame reception in different frame fields (PHY, MAC headers, payloads) protected with heterogeneous coding, errors may appear randomly at any point during the time the demodulator is trying to receive an exogenous interfering signal. We thus detect and identify cross-technology interference on off-the-shelf WiFi cards by monitoring the sequence of receiver errors (bad PLCP, bad PCS, invalid headers, etc.) and develop an Artificial Neural Network (ANN) to recognize t…
Exploring the use of multi-gene genetic programming in regional models for the simulation of monthly river runoff series
2023
The use of new data-driven approaches based on the so-called expert systems to simulate runoff generation processes is a promising frontier that may allow for overcoming some modeling difficulties related to more complex traditional approaches. The present study highlights the potential of expert systems in creating regional hydrological models, for which they can benefit from the availability of large database. Different soft computing models for the reconstruction of the monthly natural runoff in river basins are explored, focusing on a new class of heuristic models, which is the Multi-Gene Genetic Programming (MGGP). The region under study is Sicily (Italy), where a regression based rain…
Safer chemicals using less animals: kick-off of the European ONTOX project
2021
The 3Rs concept, calling for replacement, reduction and refinement of animal experimentation, is receiving increasing attention around the world, and has found its way to legislation, in particular in the European Union. This is aligned by continuing high-level efforts of the European Commission to support development and implementation of 3Rs methods. In this respect, the European project called "ONTOX: ontology-driven and artificial intelligence-based repeated dose toxicity testing of chemicals for next generation risk assessment" was recently initiated with the goal to provide a functional and sustainable solution for advancing human risk assessment of chemicals without the use of animal…
Biodegradability Prediction of Fragrant Molecules by Molecular Topology
2016
Biodegradability is a key property in the development of safer fragrances. In this work we present a green methodology for its preliminary assessment. The structure of various fragrant molecules is characterized by computing a large set of topological indices. Those relevant to biodegradability are selected by means of a hybrid stepwise selection method to build a linear classifier. This model is compared with a more complex artificial neural network trained with the indices previously found. After validation, the models show promise for time and cost reduction in the development of new, safer fragrances. The methodology presented could easily be adapted to many quasi-big data problems in R…
Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing
2020
In mission-critical, real-world environments, there is typically a low threshold for failure, which makes interaction with learning algorithms particularly challenging. Here, current state-of-the-art reinforcement learning algorithms struggle to learn optimal control policies safely. Loss of control follows, which could result in equipment breakages and even personal injuries.
Imaging in the catheterization laboratory
1993
Recent work confirms that visual assessment of the effect of widely employed coronary interventions is highly inaccurate. Rapid and reliable on-line angiographic quantitation is a useful advance, but problems in the application of the technique are encountered in a substantial number of cases. New algorithms have been devised to provide a comprehensive assessment of the geometry and likely functional significance of lesions as well as an objective evaluation of lesion morphology, and recent work has provided the framework for the quantitation of diffuse disease. Studies with intravascular ultrasound confirm the inadequate sensitivity of angiography in demonstrating mild to moderate atheroma…
Examining the effect of adverse weather on road transportation using weather and traffic sensors.
2018
Adverse weather related to reduced visibility caused by fog and rain can seriously affect the mobility and safety of drivers. It is meaningful to develop effective intelligent transportation system (ITS) strategies to mitigate the negative effects of these different types of adverse weather related to reduced visibility by investigating the effect of rain and fog on traffic parameters. A number of previous researches focused on analyzing the effect of adverse weather related to reduced visibility by using simulated traffic and weather data. There are few researchers that addressed the impact of adverse weather instances using real-time data. Moreover, this paper conducts comprehensive inves…
Attitudes of Undergraduate Nursing Students towards Patient Safety: A Quasi-Experimental Study
2021
Improving nursing students’ attitudes towards patient safety is a current and relevant topic. This study aims to evaluate the effectiveness of an educational intervention based on critical incident and root cause analysis (RCA) techniques regarding attitudes towards patient safety in nursing students. A quasi-experimental before and after study was developed between January 2018 and December 2019 in a sample of 100 nursing students at Universitat Jaume I (Spain). The intervention was developed in two phases. Phase I was at university, where students applied the RCA technique in a real case. Phase II took place during clinical practice. Students used critical incidents to identify a risk sit…
Analyzing the security of Windows 7 and Linux for cloud computing
2013
We review and analyze the major security features and concerns in deploying modern commodity operating systems such as Windows 7 and Linux 2.6.38 in a cloud computing environment. We identify the security weaknesses and open challenges of these two operating systems when deployed in the cloud environment. In particular, we examine and compare various operating system security features which are critical in providing a secure cloud. These security features include authentication, authorization and access control, physical memory protection, privacy and encryption of stored data, network access and firewalling capabilities, and virtual memory.