Search results for "Precision"
showing 10 items of 448 documents
A PC-based low cost impedance and gain-phase analyzer
2008
Abstract In this paper, we present a practical and inexpensive impedance/gain-phase analyzer (IGPA), which is very useful in the design of electronic circuits. This instrument allows the Bode diagram of any network or electronic circuit with an input and an output to be obtained, even though this implementation was not previously known. It can also obtain the module and phase diagrams of any impedance separately. The device under test (DUT) is connected to a personal computer (PC) via the parallel port by means of an electronic circuit implemented for this purpose. The results are shown on the screen of the PC and can be accessible for use in any further operation. The instrument operates i…
A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction
2016
One of the main tasks in chemical industry regarding the sustainability of a product is the prediction of its environmental fate, i.e., its degradation products and pathways. Current methods for the prediction of biodegradation products and pathways of organic environmental pollutants either do not take into account domain knowledge or do not provide probability estimates. In this chapter, we propose a hybrid knowledge-based and machine learning-based approach to overcome these limitations in the context of the University of Minnesota Pathway Prediction System (UM-PPS). The proposed solution performs relative reasoning in a machine learning framework, and obtains one probability estimate fo…
Three-dimensional cardiac computational modelling: methods, features and applications
2015
[EN] The combination of computational models and biophysical simulations can help to interpret an array of experimental data and contribute to the understanding, diagnosis and treatment of complex diseases such as cardiac arrhythmias. For this reason, three-dimensional (3D) cardiac computational modelling is currently a rising field of research. The advance of medical imaging technology over the last decades has allowed the evolution from generic to patient-specific 3D cardiac models that faithfully represent the anatomy and different cardiac features of a given alive subject. Here we analyse sixty representative 3D cardiac computational models developed and published during the last fifty …
Trimeprazine is enantioselectively degraded by an activated sludge in ready biodegradability test conditions
2018
[EN] A great number of available pharmaceuticals are chiral compounds. Although they are usually manufactured as racemic mixtures, they can be enantioselectively biodegraded as a result of microbial processes. In this paper, a biodegradability assay in similar conditions to those recommended in OECD tests of enantiomers of trimeprazine (a phenothiazine employed as a racemate) is carried out. Experiments were performed in batch mode using a minimal salts medium inoculated with an activated sludge (collected from a Valencian Waste Water Treatment Plant, WWTP) and supplemented with the racemate. The concentration of the enantiomers of trimeprazine were monitored by means of a chiral HPLC metho…
Use of Sentinel-2 Satellite for Spatially Variable Rate Fertiliser Management in a Sicilian Vineyard
2022
Satellites can be used for producing maps of within-field crop and soil parameters and, consequentially, spatially variable rate crop input application maps. The plant vegetative vigour index (i.e., Normalised Difference Vegetation Index—NDVI) and the leaf water content index (i.e., Normalised Difference Water Index—NDWI) maps were used to study—through both time and space—the phenological phases of two plots, with Syrah and Nero d’Avola grapevine varieties, in a Sicilian vineyard farm, located in Naro (Agrigento, Sicily, Italy). The aim of this work is to produce spatially variable rate nitrogen fertiliser maps to be applied in the two vineyard plots under stu…
Epigenetic biomarkers for disease diagnosis
2019
Abstract Epigenetic dysregulation plays an important role in the initiation and progression of human diseases; therefore, because of the dynamic nature of this orchestrated regulation of epigenetic marks and epigenetic mechanisms, it is possible to use these marks as biomarkers. In this context, an epigenetic biomarker is “any epigenetic mark or altered epigenetic mechanism” which generally serves to evaluate health or disease status, progression or treatment response and is particularly stable and reproducible during sample processing. Advances in precision medicine, with better diagnostic and treatment strategies are the hope to improve the management of diseases, comorbidities, and morta…
Genetic and Epigenetic Biomarkers for Diagnosis, Prognosis and Treatment of Metabolic Syndrome.
2021
Background: Metabolic syndrome is a clinical condition that deserves special attention because it puts the individual at high cardiovascular risk, especially heart attack and stroke. Considering precision medicine, it would be advisable to evaluate the individual cardio-metabolic risk by estimating the coexistence of risk factors (abdominal obesity, low level of High-Density Lipoprotein Cholesterol, High Triglycerides, and small dense Low-Density Lipoproteins sub-classes, hypertension, and elevated fasting glycemia), which could engrave on metabolism increasing cardiovascular mortality. Objective: To identify genetic and epigenetic biomarkers may assist in the possibility of helping follow…
Nanoseconds Timing System Based on IEEE 1588 FPGA Implementation
2019
Clock synchronization procedures are mandatory in most physical experiments where event fragments are readout by spatially dislocated sensors and must be glued together to reconstruct key parameters (e.g. energy, interaction vertex etc.) of the process under investigation. These distributed data readout topologies rely on an accurate time information available at the frontend, where raw data are acquired and tagged with a precise timestamp prior to data buffering and central data collecting. This makes the network complexity and latency, between frontend and backend electronics, negligible within upper bounds imposed by the frontend data buffer capability. The proposed research work describ…
Automatic image-based identification and biomass estimation of invertebrates
2020
1. Understanding how biological communities respond to environmental changes is a key challenge in ecology and ecosystem management. The apparent decline of insect populations necessitates more biomonitoring but the time-consuming sorting and expert-based identification of taxa pose strong limitations on how many insect samples can be processed. In turn, this affects the scale of efforts to map and monitor invertebrate diversity altogether. Given recent advances in computer vision, we propose to enhance the standard human expert-based identification approach involving manual sorting and identification with an automatic image-based technology. 2. We describe a robot-enabled image-based ident…
Core of communities in bipartite networks
2017
We use the information present in a bipartite network to detect cores of communities of each set of the bipartite system. Cores of communities are found by investigating statistically validated projected networks obtained using information present in the bipartite network. Cores of communities are highly informative and robust with respect to the presence of errors or missing entries in the bipartite network. We assess the statistical robustness of cores by investigating an artificial benchmark network, the co-authorship network, and the actor-movie network. The accuracy and precision of the partition obtained with respect to the reference partition are measured in terms of the adjusted Ran…