Hierarchical stochastic graphlet embedding for graph-based pattern recognition

This is the final version. Available on open access from Springer via the DOI in this recordDespite being very successful within the pattern recognition and machine learning community, graph-based methods are often unusable with many machine learning tools. This is because of the incompatibility of most of the mathematical operations in graph domain. Graph embedding has been proposed as a way to tackle these difficulties, which maps graphs to a vector space and makes the standard machine learning techniques applicable for them. However, it is well known that graph embedding techniques usually suffer from the loss of structural information. In this paper, given a graph, we consider its hierarchical structure for mapping it into a vector space. The hierarchical structure is constructed by topologically clustering the graph nodes, and considering each cluster as a node in the upper hierarchical level. Once this hierarchical structure of graph is constructed, we consider its various configurations of its parts, and use stochastic graphlet embedding (SGE) for mapping them into vector space. Broadly speaking, SGE produces a distribution of uniformly sampled low to high order graphlets as a way to embed graphs into the vector space. In what follows, the coarse-to-fine structure of a graph hierarchy and the statistics fetched through the distribution of low to high order stochastic graphlets complements each other and include important structural information with varied contexts. Altogether, these two techniques substantially cope with the usual information loss involved in graph embedding techniques, and it is not a surprise that we obtain more robust vector space embedding of graphs. This fact has been corroborated through a detailed experimental evaluation on various benchmark graph datasets, where we outperform the state-of-the-art methods.European Union Horizon 2020Ministerio de Educación, Cultura y Deporte, SpainGeneralitat de Cataluny

Accuracy of the fetal cerebroplacental ratio for the detection of intrapartum compromise in nonsmall fetuses.

OBJECTIVE: To study the accuracy of the cerebroplacental ratio (CPR) for the detection of intrapartum fetal compromise (IFC) in fetuses growing over the 10th centile. METHODS: This was a prospective study of 569 nonsmall fetuses attending the day hospital unit of a tertiary hospital that underwent an ultrasound examination at 36-40 weeks, and were delivered within 4 weeks of examination. IFC was defined as a composite of: abnormal intrapartum fetal heart rate or intrapartum fetal scalp pH < 7.20 requiring cesarean section, neonatal umbilical cord pH < 7.20, 5' Apgar score < 7 and postpartum admission to neonatal or pediatric intensive care units. The accuracy of CPR for the prediction of IFC was calculated alone and in combination with other perinatal parameters using univariate and multivariate logistic regression models, which alternatively included the onset of labor to evaluate the influence of induction of labor (IOL) on IFC and a brief composite adverse outcome of two parameters to prove the strength of the approach. RESULTS: The incidence of IFC was 17.9%. CPR sensitivity was 30.4% for a false positive rate (FFR) of 10 and 14.7% for a FPP of 5% (AUC = 0.62, p < 0.001). The multivariate analysis showed that only fetal gender and parity increased the predictive accuracy of CPR alone, although the improvement was poor (AUC = 0.67, p < 0.001). No differences were observed using any of the alternative models. Finally, IOL had no influence of IFC. CONCLUSION: Despite their apparent normality, a proportion of fetuses growing over the 10th centile suffer IFC. Some of them are suitable for detection by means of CPR

Table Detection in Invoice Documents by Graph Neural Networks

This is the author accepted manuscript. The final version is available from IEEE via the DOI in this record.Tabular structures in documents offer a complementary dimension to the raw textual data, representing logical or quantitative relationships among pieces of information. In digital mail room applications, where a large amount of administrative documents must be processed with reasonable accuracy, the detection and interpretation of tables is crucial. Table recognition has gained interest in document image analysis, in particular in unconstrained formats (absence of rule lines, unknown information of rows and columns). In this work, we propose a graph-based approach for detecting tables in document images. Instead of using the raw content (recognized text), we make use of the location, context and content type, thus it is purely a structure perception approach, not dependent on the language and the quality of the text reading. Our framework makes use of Graph Neural Networks (GNNs) in order to describe the local repetitive structural information of tables in invoice documents. Our proposed model has been experimentally validated in two invoice datasets and achieved encouraging results. Additionally, due to the scarcity of benchmark datasets for this task, we have contributed to the community a novel dataset derived from the RVL-CDIP invoice data. It will be publicly released to facilitate future research.European Unio

Chapter 2. The Baix Llobregat (BALL) Demographic Database, between Historical Demography and Computer Vision (nineteenth–twentieth centuries)

The main aims with this book are to compare source materials, databases and research results, as well as creating new opportunities for collaboration in the field of social and population history in the East and the West. All the contributions are based on nominative source material, mainly censuses and vital records, which have been preserved, scanned, transcribed into databases in order to be used for cross-sectional and longitudinal research. The chapters in the first part of this book mostly focus on the construction of nominative databases in Germany, Spain and Romania. The chapters in the second and third part are case studies on the relationship between marriage and fertility; mortality and fertility; marriage behavior and religion; urban mortality; migration, etc. made on the Russian, Austrian, Estonian, Hungarian and Norwegian databases

Progression of Doppler changes in early-onset small for gestational age fetuses. How frequent are the different progression sequences?

OBJECTIVE: To evaluate the progression of Doppler abnormalities in early-onset fetal smallness (SGA). METHODS: A total of 948 Doppler examinations of the umbilical artery (UA), middle cerebral artery (MCA) and ductus venosus (DV), belonging to 405 early-onset SGA fetuses, were studied, evaluating the sequences of Doppler progression, the interval examination-labor at which Doppler became abnormal and the cumulative sum of Doppler anomalies in relation with labor proximity. RESULTS: The most frequent sequences were that in which only the UA pulsatility index (PI) became abnormal (42.1%) and that in which an abnormal UA PI appeared first, followed by an abnormal MCA PI (24.2%). In general, 71.3% of the fetuses followed the classical progression sequence UA→MCA→DV, mostly in the early stages of growth restriction (84.1%). In addition, the UA PI was the first parameter to be affected (9 weeks before delivery), followed by the MCA PI and the DV PIV (1 and 0 weeks). Finally, the UA PI began to sum anomalies 5 weeks before delivery, while the MCA and DV did it at 3 and 1 weeks before the pregnancy ended. CONCLUSIONS: In early-onset SGA fetuses, Doppler progression tends to follow a predictable order, with sequential changes in the umbilical, cerebral and DV impedances

Efecto protector del aceite de oliva en hipercolesterolemias adquiridas. Estudio estructural de testículo e hígado de conejos protegidos e hipercolesterolémicos

La hipercolesterolemia constituye por sí misma o en coacción con otros factores etiológicos la causa de patologías comprendidas dentro de la llamada epidemia silenciosa. Entre las que se cuentan la hipertensión arterial, hipercolesterolemia, diabetes no diagnosticada, entre otras que llevan a trastornos crónicos de alta morbi-mortalidad. Entre otros factores de estas patologías, la ingesta elevada de grasas de origen animal lleva a una hipercolesterolemia adquirida y abre la puerta a un sobre peso que coadyuva a las patologías antes descriptas

La dieta alta en grasas y el Aceite de oliva virgen extra (AOVE) modulan la homeostasis lipídica testicular a través de la proteína Srebp-2

La obesidad y el sobrepeso están aumentando en todo el mundo y tienen influencias perjudiciales en varias funciones del cuerpo humano, incluida la salud reproductiva. Definir los mecanismos de cómo el aumento del colesterol en la dieta amenaza la salud reproductiva masculina es fundamental para desarrollar enfoques que mejoren los problemas actuales de fertilidad.Fil: Funes A, . Universidad del AconcaguaFil: Crescitelli, J.. Universidad del AconcaguaFil: Fernandez, M.. Universidad del AconcaguaFil: Monclús, M.. Universidad del AconcaguaFil: Fornés, M.. Universidad del AconcaguaFil: Saez. Lancellotti E. . Universidad del Aconcagu

Estudio celular y molecular de los cambios gonadales y espermáticos en conejos hipercolesterolémicos. Análisis del efecto del aceite de oliva

La ingesta elevada de grasas de origen animal (“saturadas”) conlleva a un incremento de colesterol en sangre (hipercolesterolemia, HC), y es un factor de riesgo para el desarrollo de enfermedades cardiovasculares

Synergistic activation of AMPK prevents from polyglutamine-inducedtoxicity inCaenorhabditis elegans

11 páginas, 4 figuras. Supplementary material related to this article can be found, in the online version, at doi: https://doi.org/10.1016/j.phrs.2020.105105.Expression of abnormally long polyglutamine (polyQ) tracks is the source of a range of dominant neurodegenerative diseases, such as Huntington disease. Currently, there is no treatment for this devastating disease, although some chemicals, e.g., metformin, have been proposed as therapeutic solutions. In this work, we show that metformin, together with salicylate, can synergistically reduce the number of aggregates produced after polyQ expression in Caenorhabditis elegans. Moreover, we demonstrate that incubation polyQ-stressed worms with low doses of both chemicals restores neuronal functionality. Both substances are pleitotropic and may activate a range of different targets. However, we demonstrate in this report that the beneficial effect induced by the combination of these drugs depends entirely on the catalytic action of AMPK, since loss of function mutants of aak-2/AMPKα2 do not respond to the treatment. To further investigate the mechanism of the synergetic activity of metformin/salicylate, we used CRISPR to generate mutant alleles of the scaffolding subunit of AMPK, aakb-1/AMPKβ1. In addition, we used an RNAi strategy to silence the expression of the second AMPKβ subunit in worms, namely aakb-2/AMPKβ2. In this work, we demonstrated that both regulatory subunits of AMPK are modulators of protein homeostasis. Interestingly, only aakb-2/AMPKβ2 is required for the synergistic action of metformin/salicylate to reduce polyQ aggregation. Finally, we showed that autophagy acts downstream of metformin/salicylate-related AMPK activation to promote healthy protein homeostasis in worms.We thank the CGC, funded by the NIH Office of ResearchInfrastructure Programs (P40 OD010440), for worm strains. [...] RPVMis aMiguel Servet type IIresearcher (CPII16/00004) funded by Institutode Salud Carlos III (ISCIII, Madrid, Spain). Grants from the ISCIII wereused to perform this work (PI14/00949 and PI17/00011). All grantsfrom ISCIII are co-financed by the European Development RegionalFund”A way to achieve Europe”(ERDF). JBY holds a grant from theGeneralitat Valenciana and the European Social Fund (ACIF/2019/249). Some equipment used in this work has been funded in partnershipbetween the Generalitat Valenciana (Conselleria de Sanitat I SalutPública, Valencian Community, Spain) and European Funds (ERDF/FSE), through the call "Improvement of research infrastructures for rarediseases”CV FEDER 2014-2020. This work has been partially supportedby a grant from the Fundació Telemarató de la TV3 (Reference 559),which covered the work of MDS. The funds from the ISCIII are partiallysupported by the European Regional Development Fund. RPVM is also aMarie Curie fellow (CIG322034, EU). This work has been partiallysupported by a grant from the CIBERER (ACCI2016), a grant from theFundación Ramón Areces (CIVP19S8119) and anAyuda Miguel Gilgrantto RPVM (VII Convocatoria Ayudas a la Investigación MHER, 2019Peer reviewe