BLVector: Fast BLAST-Like Algorithm for Manycore CPU With Vectorization

New High-Performance Computing architectures have been recently developed for commercial central processing unit (CPU). Yet, that has not improved the execution time of widely used bioinformatics applications, like BLAST+. This is due to a lack of optimization between the bases of the existing algorithms and the internals of the hardware that allows taking full advantage of the available CPU cores. To optimize the new architectures, algorithms must be revised and redesigned; usually rewritten from scratch. BLVector adapts the high-level concepts of BLAST+ to the x86 architectures with AVX-512, to harness their capabilities. A deep comprehensive study has been carried out to optimize the approach, with a significant reduction in time execution. BLVector reduces the execution time of BLAST+ when aligning up to mid-size protein sequences (∼750 amino acids). The gain in real scenario cases is 3.2-fold. When applied to longer proteins, BLVector consumes more time than BLAST+, but retrieves a much larger set of results. BLVector and BLAST+ are fine-tuned heuristics. Therefore, the relevant results returned by both are the same, although they behave differently specially when performing alignments with low scores. Hence, they can be considered complementary bioinformatics tools.Fil: Gálvez Rojas, Sergio. Universidad de Malaga. Escuela Técnica Superior de Ingeniería Informática. Departamento de Lenguajes y Ciencias de la Computacion.; EspañaFil: Agostini, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Botánica del Nordeste. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Instituto de Botánica del Nordeste; ArgentinaFil: Caselli, Javier. Universidad de Malaga. Escuela Técnica Superior de Ingeniería Informática. Departamento de Lenguajes y Ciencias de la Computacion.; EspañaFil: Hernandez, Agustina Pilar. Consejo Superior de Investigaciones Científicas; EspañaFil: Dorado, Gabriel. Universidad de Córdoba; Españ

Realidad aumentada con tecnologías móviles para la preservación del patrimonio cultural

En este trabajo se aborda la difusión de información relativa a puntos de interés geolocalizados mediante las últimas técnicas de realidad aumentada. En particular, se tratan las 30 reducciones jesuíticas guaraníes que se asentaron en Argentina, Brasil y Paraguay. La información geoespacial y los datos de interés cultural se han fusionado mediante las plataformas OpenStreetMap y Wikipedia, lo que permite su acceso desde cualquier lugar con acceso a internet. En una segunda fase, estos datos se gestionan desde una aplicación móvil de realidad aumentada y código abierto que permite la inmersión del usuario en el entorno cultural. La metodología desarrollada es fácilmente trasladable a otras disciplinas, lo que abre las puertas a una nueva forma de divulgar in situ la información de interés cultural patrimonial.Sociedad Argentina de Informática e Investigación Operativa (SADIO

POR UNA CULTURA DE PAZ: UNA MIRADA DESDE LAS CIENCIAS DE LA CONDUCTA

En
 virtud
 de
 lo
 anterior,
 los
 estudiosos
 de
 las
 ciencias
 de
 la
 conducta
 
de
 la
 Universidad
Autónoma 
del
 Estado 
de 
México,

ante 
la
persistencia
 y 
proliferación
 de
 estos 
hechos
 en
 diversas
 partes
 del
Mundo
 y
 de
 nuestro 
país 
en 
particular, se
 convocó
 a
 los
 estudiosos
 interesados
 y
 a
 la
 sociedad
 en
 general
 a
 presentar
 trabajos
 para
 analizar,
 debatir
 y
 proponer
 estrategias
 de
 acción
 y
 dirección,
 que
 fortalezcan
 una
 convivencia y bienestar con sentido humanista para una cultura de paz. El
 presente
 texto
 es
 producto
 de 
esta convocatoria 
que
 recoge 
los
trabajos 
de 

los
 interesados 
en 
la
 temática,

 de
 diferentes 
países
(España,
Argentina,
Cuba,
Brasil,
Costa
 Rica
 y
 México)
 retomando
 con
 ello
 sus
 experiencias
 relativas
 al
 estudio,
 análisis,
 comprensión
 e
 instrumentación
 de
 la
 cultura
 de
 paz
 en
 los
 distintos
 ámbitos
 institucionales
 en
 los
 que
 participan:
 educativo,
 salud,
 penitenciario,
 social,
laboral,
familia,
alimentario,
psicológico,
por 
mencionar 
algunos.
 El
 presente
 libro,
 propicia
 un
 espacio
 de
 reflexión,
 diálogo
 y
 posicionamiento
 de
 las 
ciencias 
de 
la 
conducta
 para 
la 
apropiación,
análisis,
debate
 y 
propuestas 
que
 fortalezcan 
una
 cultura
 de 
paz
 a
través
 de 
la
 convivencia 
y
 el 
bienestar
 social 
con
 sentido 
humanista.
El
 sistema 
económico
 neoliberal
 y 
el 
proceso
 de 
globalización 
han
 contribuido
al
 logro
 de
 avances
 significativos
 en
 la
 ciencia
 y
 la
 tecnología,
 pero
 también
 han
 propiciado
 la
 polarización
 de
 las
 sociedades
 lo
 que
 ha
 impactado
 de
 manera
 negativa
 a
 la
 sociedad
 en
 su
 conjunto,
 pero
 en
 mayor
 medida
 a
 los grupos
 vulnerables. Dicha
 polarización
 ha
 traído
 consigo
 un
 desarrollo
 desigual
 del
 mundo
 que
 se
 expresa
 de
 diferentes
 maneras
 tanto
 en
 países
 desarrollados
 como
 en
 los
 llamados
 del
 tercer
 mundo,
 en
 donde
 no
 están
 satisfechas
 las
 necesidades
 humanas 
elementales
 de
 todos 
los
sectores 
de 
la 
población,
siempre 
falta 
algo. 
Si 
a
 esto 
le
 sumamos 
los
conflictos
 internacionales por
 diferentes
 motivos
 que
 enfrentan
 algunas
 naciones,
 una
 insuficiente
 cobertura
 educativa
 y
 de
 salud,

 desempleo
 y
 pobreza 
extrema,
 entre 
otras
 cosas; 
estamos
 frente
 a
retos 
de
 gran
 envergadura
 para
 los
 gobiernos,
 para
 los
 estudiosos
 y
 para
 la
 sociedad
 civil
 en
 general. Uno 
de 
los
 intentos
 para
 frenar 
y prevenir 
la
 agudización
 de 
estas 
problemáticas
 es
 la
 cultura 
de 
paz,
cuyo
 estudio
y propuestas 
han 
ido 
avanzando 
en 
diferentes
 sentidos 
y 
de 
manera 
favorable,
el 
tema 
está 
presente 
en 
diferentes 
Organismos
 Internacionales
 como
 la
 ONU,
 la
 UNESCO,
 la
 OCDE,
 El
 Banco
 Mundial,
 entre
 otros.
 Pero
 falta 
mucho 
por 
hacer.Universidad Autónoma del Estado de Méxic

Treatment with tocilizumab or corticosteroids for COVID-19 patients with hyperinflammatory state: a multicentre cohort study (SAM-COVID-19)

Objectives: The objective of this study was to estimate the association between tocilizumab or corticosteroids and the risk of intubation or death in patients with coronavirus disease 19 (COVID-19) with a hyperinflammatory state according to clinical and laboratory parameters. Methods: A cohort study was performed in 60 Spanish hospitals including 778 patients with COVID-19 and clinical and laboratory data indicative of a hyperinflammatory state. Treatment was mainly with tocilizumab, an intermediate-high dose of corticosteroids (IHDC), a pulse dose of corticosteroids (PDC), combination therapy, or no treatment. Primary outcome was intubation or death; follow-up was 21 days. Propensity score-adjusted estimations using Cox regression (logistic regression if needed) were calculated. Propensity scores were used as confounders, matching variables and for the inverse probability of treatment weights (IPTWs). Results: In all, 88, 117, 78 and 151 patients treated with tocilizumab, IHDC, PDC, and combination therapy, respectively, were compared with 344 untreated patients. The primary endpoint occurred in 10 (11.4%), 27 (23.1%), 12 (15.4%), 40 (25.6%) and 69 (21.1%), respectively. The IPTW-based hazard ratios (odds ratio for combination therapy) for the primary endpoint were 0.32 (95%CI 0.22-0.47; p < 0.001) for tocilizumab, 0.82 (0.71-1.30; p 0.82) for IHDC, 0.61 (0.43-0.86; p 0.006) for PDC, and 1.17 (0.86-1.58; p 0.30) for combination therapy. Other applications of the propensity score provided similar results, but were not significant for PDC. Tocilizumab was also associated with lower hazard of death alone in IPTW analysis (0.07; 0.02-0.17; p < 0.001). Conclusions: Tocilizumab might be useful in COVID-19 patients with a hyperinflammatory state and should be prioritized for randomized trials in this situatio

Arquitectura Epiphany III. Una primera toma de contacto

En este trabajo se aborda el análisis de las características hardware, rendimiento y eficiencia del chip E16G301 incorporado en la placa Parallella Board. Este chip es un procesador que integra 16 núcleos RISC cuya memoria se encuentra mapeada en la del ordenador host que la aloja. Actualmente su programación resulta demasiado artesanal y limitada, lo que complica los desarrollos y fuerza a invertir un gran esfuerzo para obtener un rendimiento razonable. A pesar de ello, se demuestra que desarrollo simplificado de un algoritmo de cálculo intensivo (el algoritmo Smith-Waterman, usado en Bioinformática) permite obtener un rendimiento por núcleo bastante aceptable. Para ilustrar este aspecto, se proporciona una comparativa con la misma implementación en otras dos plataformas many-core (Tile64 e Intel Xeon-Phi) que también evidencia una gran eficiencia energética.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tec

FTDCHE

Fostering Transversal Digital Competences in Higher Educatio

Comparative structural analysis of the drought responsive dehydrin and aquaporin gene families in Brachypodium and close grasses

Dehydrins (DHNs) belong to the group 2 LEA (Late Embryogenesis Abundant) genes and play an important role in the response of plants to abiotic stress, mainly heat, salinity and drought. Under these stresses, DHNs accumulate to a large extent in maturing seeds and in all vegetative tissues. As many studies reveal, there is a positive correlation between DHN gene expression (synthesis of DHN proteins) and plant stress tolerance. Aquaporins (AQPs) belong to the major intrinsic protein (MIP) superfamily of membrane proteins conserved in plants and animals as well as in bacteria. Supporting evidence suggests that AQPs have an important role in stomatal closure and circadian regulation. There are more than 150 MIPs identified and, although some of them are constitutively expressed, others are regulated in response to drought and salinity. In this study, sequence and annotation data has been retrieved from Phytozome and Ensembl Plants in order to compare DHNs and AQPs in four Brachypodium species, 54 B. distachyon varieties and five cereals (Zea mays, Sorghum bicolor, Oryza sativa, Hordeum vulgare and Triticum aestivum). In the B. distachyon intra-species comparison, drought tolerant lines seem to contain slightly lower numbers of aquaporin and dehydrin genes, they are shorter, and some of them are dissimilar to those of the rest. The physical distribution of AQPs includes a cluster of genes that splits the lines into two main groups depending on its location, either in chromosome 3 or in chromosome 4 of this species. However, this does not seem to be related to drought stress susceptibility.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Comparative Genomics, Evolution, and Drought-Induced Expression of Dehydrin Genes in Model Brachypodium Grasses

Dehydration proteins (dehydrins, DHNs) confer tolerance to water-stress deficit in plants. We performed a comparative genomics and evolutionary study of DHN genes in four model Brachypodium grass species. Due to limited knowledge on dehydrin expression under water deprivation stress in Brachypodium, we also performed a drought-induced gene expression analysis in 32 ecotypes of the genus&rsquo; flagship species B. distachyon showing different hydric requirements. Genomic sequence analysis detected 10 types of dehydrin genes (Bdhn) across the Brachypodium species. Domain and conserved motif contents of peptides encoded by Bdhn genes revealed eight protein architectures. Bdhn genes were spread across several chromosomes. Selection analysis indicated that all the Bdhn genes were constrained by purifying selection. Three upstream cis-regulatory motifs (BES1, MYB124, ZAT) were detected in several Bdhn genes. Gene expression analysis demonstrated that only four Bdhn1-Bdhn2, Bdhn3, and Bdhn7 genes, orthologs of wheat, barley, rice, sorghum, and maize genes, were expressed in mature leaves of B. distachyon and that all of them were more highly expressed in plants under drought conditions. Brachypodium dehydrin expression was significantly correlated with drought-response phenotypic traits (plant biomass, leaf carbon and proline contents and water use efficiency increases, and leaf water and nitrogen content decreases) being more pronounced in drought-tolerant ecotypes. Our results indicate that dehydrin type and regulation could be a key factor determining the acquisition of water-stress tolerance in grasses

Transferal Skills in Applied Artificial Intelligence – The Case of Financial Sector

Artificial Intelligence (AI) can potentially transform many aspects of modern society in various ways, including automation of tasks, personalization of products and services, diagnosis of diseases and their treatment, transportation, safety, and security in public spaces, etc. Recently, AI technology has been transforming the financial industry, offering new ways to analyse data and automate processes, reduce costs, increase efficiency, and provide more personalized services to customers. However, it also raised important ethical and regulatory questions that need to be addressed by the industry and society as a whole. The aim of the Erasmus+ project Transversal Skills in Applied Artificial Intelligence - TSAAI (KA220-HED - Cooperation Partnerships in higher education) has been to establish a training platform that will incorporate teaching guidelines based on a curriculum covering different areas of application of AI technology. In this work, we will focus on applying AI models in the financial and insurance sectors

Transversal skills in applied Artificial Intelligence - the case of the financial sector

Different aspects of modern society can be transformed by the deployment of Artificial Intelligence (AI). AI-powered tools have promoted changes in the financial industry by applying inventive methods for data analysis and automating processes, efficiency enhancement, cost reduction and more personalised services to customers. However, AI algorithms may activate significant ethical and regulatory concerns that should be addressed by the industry and society as a whole. In line with the Erasmus+ project Transversal Skills in Applied Artificial Intelligence - TSAAI (KA220-HED - Cooperation Partnerships in higher education), which aims to establish a training platform, this paper focuses on an analysis of study programmes in formal tertiary education across consortium countries (Spain, Estonia, North Macedonia, Croatia, Germany, and Slovenia) with a special focus on applied artificial intelligence and development of curriculum that will integrate teaching guidelines covering the areas of application of AI technology in the financial and insurance sectors. To this end, a Systematic Review of Literacy (SRL) on the web methodology identifying the existing employability requirements in AI and the Learning-Centred Syllabus (LCS) methodology for curriculum development was applied, with the presented curriculum expected to serve as a framework to develop teaching materials to help students, academics and employees enhance their professional skills, thus satisfying labour market needs