Runtime adaptive iomt node on multi-core processor platform

The Internet of Medical Things (IoMT) paradigm is becoming mainstream in multiple clinical trials and healthcare procedures. Thanks to innovative technologies, latest-generation communication networks, and state-of-the-art portable devices, IoTM opens up new scenarios for data collection and continuous patient monitoring. Two very important aspects should be considered to make the most of this paradigm. For the first aspect, moving the processing task from the cloud to the edge leads to several advantages, such as responsiveness, portability, scalability, and reliability of the sensor node. For the second aspect, in order to increase the accuracy of the system, state-of-the-art cognitive algorithms based on artificial intelligence and deep learning must be integrated. Sensory nodes often need to be battery powered and need to remain active for a long time without a different power source. Therefore, one of the challenges to be addressed during the design and development of IoMT devices concerns energy optimization. Our work proposes an implementation of cognitive data analysis based on deep learning techniques on resource-constrained computing platform. To handle power efficiency, we introduced a component called Adaptive runtime Manager (ADAM). This component takes care of reconfiguring the hardware and software of the device dynamically during the execution, in order to better adapt it to the workload and the required operating mode. To test the high computational load on a multi-core system, the Orlando prototype board by STMicroelectronics, cognitive analysis of Electrocardiogram (ECG) traces have been adopted, considering single-channel and six-channel simultaneous cases. Experimental results show that by managing the sensory node configuration at runtime, energy savings of at least 15% can be achieved

Changes in children’s cognitive development at the Start of School in England 2001–2008.

Since 1997, England has seen massive changes in the Early Years including the introduction of an early childhood curriculum, free pre-school education for three-year-olds and local programmes for disadvantaged communities. Many of these initiatives took time to introduce and become established. Beginning in 2001, and each year thereafter until 2008, the authors collected consistent data from thousands of children when they started school at the age of four on a range of variables, chosen because they are good predictors of later success. These included vocabulary, early reading and early mathematics. Children from the same set of 472 state primary schools in England were assessed each year. This paper contributes to the existing studies of educational trends over time by examining the extent to which children's scores on these measures changed over that period; in general, they were found to have remained stable

Regulatory dendritic cells restrain NK cell IFN-γ production through mechanisms involving NKp46, IL-10, and MHC class I-specific inhibitory receptors

Cross-talk between mature dendritic cells (mDC) and NK cells through the cell surface receptors NKp30 and DNAM-1 leads to their reciprocal activation. However, the impact of regulatory dendritic cells (regDC) on NK cell function remains unknown. As regDC constrain the immune response in different physiological and pathological conditions, the aim of this work was to investigate the functional outcome of the interaction between regDC and NK cells and the associated underlying mechanisms. RegDC generated from monocyte-derived DC treated either with LPS and dexamethasone, vitamin D3, or vitamin D3 and dexamethasone instructed NK cells to secrete lower amounts of IFN-γ than NK cells exposed to mDC. Although regDC triggered upregulation of the activation markers CD69 and CD25 on NK cells, they did not induce upregulation of CD56 as mDC, and silenced IFN-γ secretion through mechanisms involving insufficient secretion of IL-18, but not IL-12 or IL-15 and/or induction of NK cell apoptosis. Blocking experiments demonstrated that regDC curb IFN-γ secretion by NK cells through a dominant suppressive mechanism involving IL-10, NK cell inhibitory receptors, and, unexpectedly, engagement of the activating receptor NKp46. Our findings unveil a previously unrecognized cross-talk through which regDC shape NK cell function toward an alternative activated phenotype unable to secrete IFN-γ, highlighting the plasticity of NK cells in response to tolerogenic stimuli. In addition, our findings contribute to identify a novel inhibitory role for NKp46 in the control of NK cell function, and have broad implications in the resolution of inflammatory responses and evasion of antitumor responses.Facultad de Ciencias Exacta

Vigilancia epidemiológica en mujeres embarazadas para control de riesgos en el consumo de tabaco en la ciudad de Gualeguaychú

Objetivo: Determinar el nivel de cotinina urinaria en embarazadas fumadoras activas y pasivas en centros de salud públicos (cpub) y privados (cpri) de Gualeguaychú para conocer su riesgo de exposición y contribuir a mejorar el diseño de las intervenciones en la prevención del hábito tabáquico durante el embarazo. Materiales y métodos: Se trabajó con 443 embarazadas que concurrieron a cpub y cpri de Gualeguaychú para su control prenatal, solicitándoles a las que manifestaron ser fumadoras activas o estar expuestas al hat una muestra de orina para el dosaje de cotinina. Se aplicó un diseño de tipo no experimental, retrospectivo y de corte transversal. El dosaje de cotinina se realizó en orina, empleando una metodología quimioluminiscente. Previamente se obtuvo un valor referencial de cotinina urinaria inferior a los 15,2 ng/ml para el 98 % de sujetos no fumadores no expuestos al hat. Resultados: El 97,3 % de las embarazadas que declararon ser fumadoras activas presentaron valores de cotinina superiores a los 100 ng/ml y el 66,2 % de las que expresaron ser fumadoras pasivas presentaron un nivel superior a 15,2 ng/ml. Discusión y conclusiones: Los resultados obtenidos demuestran la utilidad de la cotinina como indicador para obtener datos fidedignos frente a la exposición al tabaco

Re‐Thinking the Environment, Cities, and Living Spaces for Public Health Purposes, According with the COVID‐19 Lesson: The LVII Erice Charter

Urban planning is a key tool to promote health in cities. The COVID-19 emergency accelerated several social, environmental, and digital challenges, stressing the importance of some issues regarding housing, urban mobility, green areas, and health service networks, urban health policies, and actions. These issues were the subject of an intensive residential course (the 57th) held in Erice, Sicily, in June 2021 in the “International School of Epidemiology and Preventive Medicine G. D’Alessandro”, and the main findings are described here. Methods. Lectures presented the topics, subsequently developed them, and argued them in parallel practical sessions using the World Café technique, since it is well suited for the interaction of participants and the involvement of groups. Results. The World Café provides new insights into how to improve the livability and health of urban spaces, and a set of strategies and actions were proposed for each topic. Discussion and Conclusions. All attendees agreed on the importance of participation in the planning processes, but also on the need for strong political support to ensure the resources needed and a full integration of health with other local policies. A multidisciplinary approach to developing systemic operational capacities and health literacy is considered pivotal to raising awareness and participation

A Hybrid Model for Dynamic Simulation of Custom Software Projects in a Multiproject Environment

This paper describes SimHiProS, a hybrid simulation model of software production. The goal is to gain insight on the dynamics induced by resource sharing in multiproject management. In order to achieve it the hierarchy of decisions in a multiproject organization is modeled and some resource allocation methods based on algorithms from the OR/AI domain are used. Other critical issues such as the hybrid nature of software production and the effects of measurement and control are also incorporated in the model. Some first results are presented.Ministerio de Ciencia e Innovación TIN2004-06689-C03-03Ministerio de Ciencia e Innovación TIN2007-67843-C06-0

Evaluation of alternative preservation treatments (water heat treatment, ultrasounds, thermosonication and UV-C radiation) to improve safety and quality of whole tomato

Previously optimised postharvest treatments were compared to conventional chlorinated water treatment in terms of their effects on the overall quality of tomato (‘Zinac’) during storage at 10 °C. The treatments in question were water heat treatment (WHT = 40 °C, 30 min), ultrasounds (US = 45 kHz, 80 %, 30 min), thermosonication (TS =40 °C, 30 min, 45 kHz, 80 %) and ultraviolet irradiation (UV-C: 0.97 kJ m−2). The quality factors evaluated were colour, texture, sensorial analysis, mass loss, antioxidant capacity, total phenolic content, peroxidase and pectin methylesterase enzymatic activities, and microbial load reduction. The results demonstrate that all treatments tested preserve tomato quality to some extent during storage at 10 °C. WHT, TS and UV-C proved to be more efficient on minimising colour and texture changes with the additional advantage of microbial load reduction, leading to a shelf life extension when compared to control trials. However, at the end of storage, with exception of WHT samples, the antioxidant activity and phenolic content of treated samples was lower than for control samples. Moreover, sensorial results were well correlated with instrumental colour experimental data. This study presents alternative postharvest technologies that improve tomato (Zinac) quality during shelf life period and minimise the negative impact of conventional chlorinated water on human safety, health and environment.info:eu-repo/semantics/publishedVersio