23 research outputs found
AirMLP: A Multilayer Perceptron Neural Network for Temporal Correction of PM2.5 Values in Turin
Impacto de una Intervención Virtual en Lectura en Niños Disléxicos: ¿Es Distinta la Eficacia Respecto de una Intervención Presencial?
As a result of the COVID-19 pandemic situation, the psychoeducational work was forced to carry out virtual interventions. In this work, progress in reading skills was compared in face-to-face vs. virtual intervention in patients with dyslexia. The evolution of 26 patients from 1st to 3rd grade exposed in both formats to the same reading intervention with a cognitive program, was analyzed. The results showed that both in the virtual and face-to-face modalities, an improvement was achieved in phonological skills, reading fluency and decoding, with no significant difference across modalities. In conclusion, virtual interventions can be effective if an explicit and systematic treatment is carried out, with an evidencebased program and based on an initial faceto-face bond.En base a la situación de pandemia por COVID-19, la clínica se vio forzada a realizar intervenciones virtuales. En este trabajo se comparó el progreso en habilidades lectoras en situación presencial vs. virtual de pacientes con dislexia. Se analizó la evolución de 26 pacientes de 1°a 3°, expuestos en ambos formatos a la misma intervención en lectura con un programa de enfoque cognitivo. Los resultados mostraron que tanto en la modalidad virtual como presencial se logró una mejora en las habilidades fonológicas, fluidez lectora y decodificación, siendo ambas modalidades eficaces para el trabajo en habilidades lectoras. Como conclusión, la intervención tanto presencial como virtual, puede ser efectiva si se realiza un tratamiento explícito y sistemático, con un programa basado en evidencia y en base a un vínculo presencial inicial
Ocean data product integration through innovation-the next level of data interoperability
In the next decade the pressures on ocean systems and the communities that rely on them will increase along with impacts from the multiple stressors of climate change and human activities. Our ability to manage and sustain our oceans will depend on the data we collect and the information and knowledge derived from it. Much of the uptake of this knowledge will be outside the ocean domain, for example by policy makers, local Governments, custodians, and other organizations, so it is imperative that we democratize or open the access and use of ocean data. This paper looks at how technologies, scoped by standards, best practice and communities of practice, can be deployed to change the way that ocean data is accessed, utilized, augmented and transformed into information and knowledge. The current portal-download model which requires the user to know what data exists, where it is stored, in what format and with what processing, limits the uptake and use of ocean data. Using examples from a range of disciplines, a web services model of data and information flows is presented. A framework is described, including the systems, processes and human components, which delivers a radical rethink about the delivery of knowledge from ocean data. A series of statements describe parts of the future vision along with recommendations about how this may be achieved. The paper recommends the development of virtual test-beds for end-to-end development of new data workflows and knowledge pathways. This supports the continued development, rationalization and uptake of standards, creates a platform around which a community of practice can be developed, promotes cross discipline engagement from ocean science through to ocean policy, allows for the commercial sector, including the informatics sector, to partner in delivering outcomes and provides a focus to leverage long term sustained funding. The next 10 years will be “make or break” for many ocean systems. The decadal challenge is to develop the governance and co-operative mechanisms to harness emerging information technology to deliver on the goal of generating the information and knowledge required to sustain oceans into the future
A Fast and Effective Method to Identify Relevant Sets of Variables in Complex Systems
In many complex systems one observes the formation of medium-level structures, whose detection could allow a high-level description of the dynamical organization of the system itself, and thus to its better understanding. We have developed in the past a powerful method to achieve this goal, which however requires a heavy computational cost in several real-world cases. In this work we introduce a modified version of our approach, which reduces the computational burden. The design of the new algorithm allowed the realization of an original suite of methods able to work simultaneously at the micro level (that of the binary relationships of the single variables) and at meso level (the identification of dynamically relevant groups). We apply this suite to a particularly relevant case, in which we look for the dynamic organization of a gene regulatory network when it is subject to knock-outs. The approach combines information theory, graph analysis, and an iterated sieving algorithm in order to describe rather complex situations. Its application allowed to derive some general observations on the dynamical organization of gene regulatory networks, and to observe interesting characteristics in an experimental cas
AirMLP - SPS30 low-cost sensors and Tecora reference station PM 2.5 data
<p>The information below describes a dataset related to a study conducted in Turin, Italy, involving low-cost laser-scattering SPS30 sensors placed by Wiseair SRL and a Tecora reference station placed by Arpa Piemonte (Italian Air Quality Agency). This dataset spans two different time periods in 2022, specifically from March 1, 2022, to April 29, 2022, and from October 26, 2022, to December 30, 2022. The data in this dataset pertains to the mass concentration of PM2.5 (particulate matter with a diameter of 2.5 micrometres or less).</p><p> </p><p>The reference station's data is divided into two periods and is provided in files named "rf_x.csv." These files contain hourly data and timestamps in GMT+1. Each file has three columns:</p><ul><li>"valid_at" (in Rome local hour, GMT+1)</li><li>"valore_originale" (PM 2.5 raw mass concentration values recorded by the reference station)</li><li>"pm2p5" (PM 2.5 mass concentration validated values by the air quality agency)</li></ul><p>The low-cost sensors, referred to as "ari_xxxx.csv," provide data at approximately 15-minute frequency. These files contain the following columns:</p><ul><li>"valid_at" (in GMT)</li><li>"pm2p5" (PM 2.5 raw mass concentration measured by the SPS30 sensor)</li><li>"relative_humidity" (expressed as a percentage)</li><li>"temperature" (in degrees Celsius)</li><li>"pressure" (in hPA)</li><li>"wind_speed" (in meters per second)</li><li>"cloud_coverage" (expressed as a percentage)</li></ul><p>Notably, the "relative_humidity" and "temperature" values are gathered from sensors placed within a device containing the SPS30 low-cost sensor.</p><p> </p><p>Here's a summary of the specific data files in this dataset:</p><ul><li>"<strong>rf_1.csv</strong>": Hourly data provided by the Air Quality Agency for the first period.</li><li>"<strong>rf_2.csv</strong>": Hourly data provided by the Air Quality Agency for the second period.</li><li>"<strong>arpa_1727.csv</strong>," "<strong>arpa_1952.csv</strong>," and "<strong>arpa_1953.csv</strong>": Three low-cost sensors placed by Wiseair, which refer to the first period.</li><li>"<strong>arpa_1885.csv</strong>" and "<strong>arpa_2049.csv</strong>": Two low-cost sensors placed by Wiseair, that refer to the second period.</li></ul>
Beyond Hemostasis: Platelet Innate Immune Interactions and Thromboinflammation
There is accumulating evidence that platelets play roles beyond their traditional functions in thrombosis and hemostasis, e.g., in inflammatory processes, infection and cancer, and that they interact, stimulate and regulate cells of the innate immune system such as neutrophils, monocytes and macrophages. In this review, we will focus on platelet activation in hemostatic and inflammatory processes, as well as platelet interactions with neutrophils and monocytes/macrophages. We take a closer look at the contributions of major platelet receptors GPIb, αIIbβ3, TLT-1, CLEC-2 and Toll-like receptors (TLRs) as well as secretions from platelet granules on platelet–neutrophil aggregate and neutrophil extracellular trap (NET) formation in atherosclerosis, transfusion-related acute lung injury (TRALI) and COVID-19. Further, we will address platelet–monocyte and macrophage interactions during cancer metastasis, infection, sepsis and platelet clearance
Impact of a virtual reading intervention in children with dislexia : is efficacy different compared to face-to-face interventions?
Resumen: En base a la situación de pandemia por COVID-19, la clínica se vio forzada a realizar intervenciones virtuales. En este trabajo se comparó el progreso en habilidades lectoras en situación presencial vs. virtual de pacientes con dislexia. Se analizó la evolución de 26 pacientes de 1°a 3°, expuestos en ambos formatos a la misma intervención en lectura con un programa de enfoque cognitivo. Los resultados mostraron que tanto en la modalidad virtual como presencial se logró una mejora en las habilidades fonológicas, fluidez lectora y decodificación, siendo ambas modalidades eficaces para el trabajo en habilidades lectoras. Como conclusión, la intervención tanto presencial como virtual, puede ser efectiva si se realiza un tratamiento
explícito y sistemático, con un programa basado en evidencia y en base a un vínculo presencial inicial.Abstract: As a result of the COVID-19 pandemic
situation, the psychoeducational work was
forced to carry out virtual interventions.
In this work, progress in reading skills
was compared in face-to-face vs. virtual
intervention in patients with dyslexia. The
evolution of 26 patients from 1st to 3rd grade
exposed in both formats to the same reading
intervention with a cognitive program, was
analyzed. The results showed that both in
the virtual and face-to-face modalities, an
improvement was achieved in phonological
skills, reading fluency and decoding, with
no significant difference across modalities.
In conclusion, virtual interventions can
be effective if an explicit and systematic
treatment is carried out, with an evidencebased
program and based on an initial faceto-
face bond