The role of Artificial Intelligence and Distributed computing in IoT applications

[ES] La serie «El rol de la inteligencia artificial y la computación distribuida en las aplicaciones IoT» contiene publicaciones sobre la teoría y aplicaciones de la computación distribuida y la inteligencia artificial en el Internet de las cosas. Prácticamente todas las disciplinas como la ingeniería, las ciencias naturales, la informática y las ciencias de la información, las TIC, la economía, los negocios, el comercio electrónico, el medio ambiente, la salud y las ciencias de la vida están cubiertas. La lista de temas abarca todas las áreas de los sistemas inteligentes modernos y la informática como: inteligencia computacional, soft computing incluyendo redes neuronales, inteligencia social, inteligencia ambiental, sistemas auto-organizados y adaptativos, computación centrada en el ser humano y centrada en el ser humano, sistemas de recomendación, control inteligente, robótica y mecatrónica, incluida la colaboración entre el ser humano y la máquina, paradigmas basados en el conocimiento, paradigmas de aprendizaje, ética de la máquina, análisis inteligente de datos, gestión del conocimiento, agentes inteligentes, toma de decisiones inteligentes y apoyo, seguridad de la red inteligente, gestión de la confianza, entretenimiento interactivo, inteligencia de la Web y multimedia. Las publicaciones en el marco de «El rol de la inteligencia artificial y la computación distribuida en las aplicaciones IoT» son principalmente las actas de seminarios, simposios y conferencias. Abarcan importantes novedades recientes en la materia, tanto de naturaleza fundacional como aplicable. Un importante rasgo característico de la serie es el corto tiempo de publicación. Esto permite una rápida y amplia difusión de los resultados de las investigaciones[EN] The series «The Role of Artificial Intelligence and Distributed Computing in IoT Applications» contains publications on the theory and applications of distributed computing and artificial intelligence in the Internet of Things. Virtually all disciplines such as engineering, natural sciences, computer and information sciences, ICT, economics, business, e-commerce, environment, health and life sciences are covered. The list of topics covers all areas of modern intelligent systems and computer science: computational intelligence, soft computing including neural networks, social intelligence, ambient intelligence, self-organising and adaptive systems, human-centred and people-centred computing, recommendation systems, intelligent control, robotics and mechatronics including human-machine collaboration, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, web intelligence, and multimedia. The publications in the framework of «The Role of Artificial Intelligence and Distributed Computing in IoT Applications» are mainly the proceedings of seminars, symposia and conferences. They cover important recent developments in the field, whether of a foundational or applicable character. An important feature of the series is the short publication time. This allows for the rapid and wide dissemination of research results

Preface

[ES] La serie «El rol de la inteligencia artificial y la computación distribuida en las aplicaciones IoT» contiene publicaciones sobre la teoría y aplicaciones de la computación distribuida y la inteligencia artificial en el Internet de las cosas. Prácticamente todas las disciplinas como la ingeniería, las ciencias naturales, la informática y las ciencias de la información, las TIC, la economía, los negocios, el comercio electrónico, el medio ambiente, la salud y las ciencias de la vida están cubiertas. La lista de temas abarca todas las áreas de los sistemas inteligentes modernos y la informática como: inteligencia computacional, soft computing incluyendo redes neuronales, inteligencia social, inteligencia ambiental, sistemas auto-organizados y adaptativos, computación centrada en el ser humano y centrada en el ser humano, sistemas de recomendación, control inteligente, robótica y mecatrónica, incluida la colaboración entre el ser humano y la máquina, paradigmas basados en el conocimiento, paradigmas de aprendizaje, ética de la máquina, análisis inteligente de datos, gestión del conocimiento, agentes inteligentes, toma de decisiones inteligentes y apoyo, seguridad de la red inteligente, gestión de la confianza, entretenimiento interactivo, inteligencia de la Web y multimedia. Las publicaciones en el marco de «El rol de la inteligencia artificial y la computación distribuida en las aplicaciones IoT» son principalmente las actas de seminarios, simposios y conferencias. Abarcan importantes novedades recientes en la materia, tanto de naturaleza fundacional como aplicable. Un importante rasgo característico de la serie es el corto tiempo de publicación. Esto permite una rápida y amplia difusión de los resultados de las investigaciones[EN] The series «The Role of Artificial Intelligence and Distributed Computing in IoT Applications» contains publications on the theory and applications of distributed computing and artificial intelligence in the Internet of Things. Virtually all disciplines such as engineering, natural sciences, computer and information sciences, ICT, economics, business, e-commerce, environment, health and life sciences are covered. The list of topics covers all areas of modern intelligent systems and computer science: computational intelligence, soft computing including neural networks, social intelligence, ambient intelligence, self-organising and adaptive systems, human-centred and people-centred computing, recommendation systems, intelligent control, robotics and mechatronics including human-machine collaboration, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, web intelligence, and multimedia. The publications in the framework of «The Role of Artificial Intelligence and Distributed Computing in IoT Applications» are mainly the proceedings of seminars, symposia and conferences. They cover important recent developments in the field, whether of a foundational or applicable character. An important feature of the series is the short publication time. This allows for the rapid and wide dissemination of research results

Influence of body weight at hatching and inclusion of oat hulls in the diet on growth performance and digestive tract traits of brown-egg laying pullets from 0 to 16 wk of age

The influence of pre-incubated weight of eggs (EW) laid by 24 wk-old brown layer breeders and the inclusion (wt:wt) of 3% oat hulls (OH) in the diet on growth performance and gastrointestinal tract (GIT) traits were studied in pullets reared under stressful conditions from hatching to 16 wk of age. The initial BW of the pullets resulting from these eggs was of 29.9 and 38.2 g for the 2 extreme groups. The stress applied consisted in using a prolonged (8 h) transport time from the hatchery to the experimental facility, reducing barn temperature at night from placement to 7 d of age, and late beak trimming of the pullets (18 d). Growth performance, pullet uniformity, and GIT traits were measured by period (0 to 5 wk, 5 to 10 wk, and 10 to 16 wk of age) and cumulatively. Data were analyzed as a completely randomized design with treatments organized as a 7 × 2 factorial, with 7 groups of pullets that differed on pre-hatched EW (47 to 54 g with 1 g difference between groups) and 2 levels of OH inclusion (0 vs. 3%). Effects of EW on the variables studied were partitioned into linear and quadratic components. The stress conditions applied affected pullet growth, with BW at 5 wk of age that were as an average 27% lower than recommended by the genetic company (269 g vs. 367 g). Neither initial EW nor OH inclusion affected any of the variables studied. In summary, EW of young breeders did not affect growth performance, BW uniformity, or GIT traits of the resulting pullets from 0 to 16 wk of age. Eggs bigger than 47 g laid by young breeders can produce high quality pullets. Pullets fed diets with 3% OH performed equally to pullets fed the control diet, suggesting that the amount of fiber can be increased during the rearing period of brown egg pullet

The psychological impact of Covid-19 on front line nurses: a synthesis of qualitative evidence

Caring for people with COVID-19 on the front line has psychological impacts for healthcare professionals. Despite the important psychological impacts of the pandemic on nurses, the qualitative evidence on this topic has not been synthesized. Our objective: To analyze and synthesize qualitative studies that investigate the perceptions of nurses about the psychological impacts of treating hospitalized people with COVID-19 on the front line. A systematic review of qualitative studies published in English or Spanish up to March 2021 was carried out in the following databases: The Cochrane Library, Medline (Pubmed), PsycINFO, Web of Science (WOS), Scopus, and CINHAL. The PRISMA statement and the Cochrane recommendations for qualitative evidence synthesis were followed. Results: The main psychological impacts of caring for people with COVID-19 perceived by nurses working on the front line were fear, anxiety, stress, social isolation, depressive symptoms, uncertainty, and frustration. The fear of infecting family members or being infected was the main repercussion perceived by the nurses. Other negative impacts that this review added and that nurses suffer as the COVID-19 pandemic progress were anger, obsessive thoughts, compulsivity, introversion, apprehension, impotence, alteration of space-time perception, somatization, and feeling of betrayal. Resilience was a coping tool used by nurses. Conclusions: Front line care for people with COVID-19 causes fear, anxiety, stress, social isolation, depressive symptoms, uncertainty, frustration, anger, obsessive thoughts, compulsivity, introversion, apprehension, impotence, alteration of space-time perception, somatization, and feeling of betrayal in nurses. It is necessary to provide front line nurses with the necessary support to reduce the psychological impact derived from caring for people with COVID-19, improve training programs for future pandemics, and analyze the long-term impacts.info:eu-repo/semantics/publishedVersio

A Distributed Ambient Intelligence Based Multi-Agent System for Alzheimer Health Care

This chapter presents ALZ-MAS (Alzheimer multi-agent system), an ambient intelligence (AmI)-based multi-agent system aimed at enhancing the assistance and health care for Alzheimer patients. The system makes use of several context-aware technologies that allow it to automatically obtain information from users and the environment in an evenly distributed way, focusing on the characteristics of ubiquity, awareness, intelligence, mobility, etc., all of which are concepts defined by AmI. ALZ-MAS makes use of a services oriented multi-agent architecture, called flexible user and services oriented multi-agent architecture, to distribute resources and enhance its performance. It is demonstrated that a SOA approach is adequate to build distributed and highly dynamic AmI-based multi-agent systems

Changes in Spanish lifestyle and dietary habits during the COVID-19 lockdown

Purpose: The COVID-2019 pandemic forced many governments to declare the 'to stay at home' which encouraged social distancing and isolation among citizens. The aim of this study was to assess the dietary and lifestyle habit changes that occurred during home confinement in Spain. Methods: An European online survey was launched in April 2020. This included 70 questions on sociodemographic characteristics, lifestyle, dietary habits, including key Mediterranean diet (MedDiet) foods. A total of 945 Spanish adults from 1268 European that completed the online survey were included in the analysis. Results: Most of the Spanish participants adopted healthier dietary habits during home lockdown, which was translated to a higher MedDiet adherence. However, a negative impact on physical activity levels, sleep quality or smoking rates was observed. Low MedDiet adherence was associated with a higher risk of weight gain (OR = 1.53, CI 1.1-2.1; p = 0.016), while no snacking between meals reduced the risk by 80% (OR = 0.20, CI 0.09-0.45, p < 0.001) and eating more quantity, considering portion size, increased body weight gain risk almost sixfold more. Conclusion: To conclude, although dietary habits were improved during home lockdown, certain unhealthy behaviours (e.g. increased snacking between meals, increased food intake, and an increase in sedentary behaviour) were increased

Deletion of a Pathogenic Mutation-Containing Exon of COL7A1 Allows Clonal Gene Editing Correction of RDEB Patient Epidermal Stem Cells

Recessive dystrophic epidermolysis bullosa is a severe skin fragility disease caused by loss of functional type VII collagen at the dermal-epidermal junction. A frameshift mutation in exon 80 of COL7A1 gene, c.6527insC, is highly prevalent in the Spanish patient population. We have implemented geneediting strategies for COL7A1 frame restoration by NHEJ-induced indels in epidermal stem cells from patients carrying this mutation. TALEN nucleases designed to cut within the COL7A1 exon 80 sequence were delivered to primary patient keratinocyte cultures by non-integrating viral vectors. After genotyping a large collection of vector-transduced patient keratinocyte clones with high proliferative potential, we identified a significant percentage of clones with COL7A1 reading frame recovery and Collagen VII protein expression. Skin equivalents generated with cells from a clone lacking exon 80 entirely were able to regenerate phenotypically normal human skin upon their grafting onto immunodeficient mice. These patientderived human skin grafts showed Collagen VII deposition at the basement membrane zone, formation of anchoring fibrils, and structural integrity when analyzed 12 weeks after grafting. Our data provide a proof-of-principle for recessive dystrophic epidermolysis bullosa treatment through ex vivo gene editing based on removal of pathogenic mutationcontaining, functionally expendable COL7A1 exons in patient epidermal stem cells.The study was mainly supported by DEBRA International—funded by DEBRA Austria (grant termed as Larcher 1). Additional funds come from Spanish grants SAF2013-43475-R and SAF2017-86810-R from the Ministry of Economy and Competitiveness and PI14/00931 and PI17/01747 from the Instituto de Salud Carlos III, all of them co-funded with European Regional Development Funds (ERDF)

La investigación biomédica en España (II). Evaluación del Fondo de Investigación Sanitaria (FIS) a través de los proyectos de investigación financiados en el período 1988-1995 a centros de investigación, facultades y escuelas

En un trabajo previo, publicado en esta misma revista, los autores han estudiado los resultados generados por los proyectos de investigación financiados por el Fondo de Investigación Sanitaria (FIS) a las Instituciones Sanitarias Asistenciales (hospitales) y los procedentes de los cuestionarios de encuestas remitidos a los investigadores responsables de tales proyectos y a los directores gerentes de los hospitales en los que se realizaron los mismos. En el presente trabajo, se continúa el proceso de evaluación del FIS, centrándose la atención en la distribución de los proyectos de investigación concedidos a los centros de investigación, facultades y escuelas, y en los resultados obtenidos a través de los cuestionarios de encuesta cumplimentados por los investigadores principales pertenecientes a estas instituciones o entidades.La realización de este trabajo ha sido posible gracias a la financiación otorgada por el FIS al proyecto de investigación 96/1803.Peer reviewe

Untargeted profiling of concordant/discordant phenotypes of high insulin resistance and obesity to predict the risk of developing diabetes

This study explores the metabolic profiles of concordant/discordant phenotypes of high insulin resistance (IR) and obesity. Through untargeted metabolomics (LC-ESI-QTOF-MS), we analyzed the fasting serum of subjects with high IR and/or obesity ( n = 64). An partial least-squares discriminant analysis with orthogonal signal correction followed by univariate statistics and enrichment analysis allowed exploration of these metabolic profiles. A multivariate regression method (LASSO) was used for variable selection and a predictive biomarker model to identify subjects with high IR regardless of obesity was built. Adrenic acid and a dyglyceride (DG) were shared by high IR and obesity. Uric and margaric acids, 14 DGs, ketocholesterol, and hydroxycorticosterone were unique to high IR, while arachidonic, hydroxyeicosatetraenoic (HETE), palmitoleic, triHETE, and glycocholic acids, HETE lactone, leukotriene B4, and two glutamyl-peptides to obesity. DGs and adrenic acid differed in concordant/discordant phenotypes, thereby revealing protective mechanisms against high IR also in obesity. A biomarker model formed by DGs, uric and adrenic acids presented a high predictive power to identify subjects with high IR [AUC 80.1% (68.9-91.4)]. These findings could become relevant for diabetes risk detection and unveil new potential targets in therapeutic treatments of IR, diabetes, and obesity. An independent validated cohort is needed to confirm these results

Characterization of hepatitis B virus X gene quasispecies complexity in mono-infection and hepatitis delta virus superinfection

Hepatitis B X gene; Hepatitis B virus; Hepatitis delta virusHepatitis B gen X; Virus d'hepatitis B; Virus d'hepatitis deltaHepatitis B gen X; Virus de hepatitis B; Virus de hepatitis deltaBACKGROUND: Hepatitis delta virus (HDV) seems to strongly suppress hepatitis B virus (HBV) replication, although little is known about the mechanism of this interaction. Both these viruses show a dynamic distribution of mutants, resulting in viral quasispecies. Next-generation sequencing is a viable approach for analyzing the composition of these mutant spectra. As the regulatory hepatitis B X protein (HBx) is essential for HBV replication, determination of HBV X gene (HBX) quasispecies complexity in HBV/HDV infection compared to HBV mono-infection may provide information on the interactions between these two viruses. AIM: To compare HBV quasispecies complexity in the HBX 5' region between chronic hepatitis delta (CHD) and chronic HBV mono-infected patients. METHODS: Twenty-four untreated patients were included: 7/24 (29.2%) with HBeAg-negative chronic HBV infection (CI, previously termed inactive carriers), 8/24 (33.3%) with HBeAg-negative chronic hepatitis B (CHB) and 9/24 (37.5%) with CHD. A serum sample from each patient was first tested for HBV DNA levels. The HBX 5' region [nucleotides (nt) 1255-1611] was then PCR-amplified for subsequent next-generation sequencing (MiSeq, Illumina, United States). HBV quasispecies complexity in the region analyzed was evaluated using incidence-based indices (number of haplotypes and number of mutations), abundance-based indices (Hill numbers of order 1 and 2), and functional indices (mutation frequency and nucleotide diversity). We also evaluated the pattern of nucleotide changes to investigate which of them could be the cause of the quasispecies complexity. RESULTS: CHB patients showed higher median HBV-DNA levels [5.4 logIU/mL, interquartile range (IQR) 3.5-7.9] than CHD (3.4 logIU/mL, IQR 3-7.6) (P = n.s.) or CI (3.2 logIU/mL, IQR 2.3-3.5) (P < 0.01) patients. The incidence and abundance indices indicated that HBV quasispecies complexity was significantly greater in CI than CHB. A similar trend was observed in CHD patients, although only Hill numbers of order 2 showed statistically significant differences (CHB 2.81, IQR 1.11-4.57 vs CHD 8.87, 6.56-11.18, P = 0.038). There were no significant differences in the functional indices, but CI and CHD patients also showed a trend towards greater complexity than CHB. No differences were found for any HBV quasispecies complexity indices between CHD and CI patients. G-to-A and C-to-T nucleotide changes, characteristic of APOBEC3G, were higher in CHD and CI than in CHB in genotype A haplotypes, but not in genotype D. The proportion of nt G-to-A vs A-to-G changes and C-to-T vs T-to-C changes in genotype A and D haplotypes in CHD patients showed no significant differences. In CHB and CI the results of these comparisons were dependent on HBV genotype. CONCLUSION: The lower-replication CHD and CI groups show a trend to higher quasispecies complexity than the higher-replication CHB group. The mechanisms associated with this greater complexity require elucidation.Supported by the Instituto de Salud Carlos III, grants PI15/00856 and PI17/02233; co-financed by the European Regional Development Fund (ERDF