Programa intensivo ERASMUS: TOPCART. Documentación Geométrica del Patrimonio (memoria de actividades 2010-2011)

[EN] Data contained in this record come from the following accademic activity (from which it is possible to locate additional records related with the Monastery):● LDGP_inv_002: "Intensive Program ERASMUS: TOPCART. Geometric Documentation of the Heritage (administrative and academic documentation)", http://hdl.handle.net/10810/9906[ES] Los datos de este registro provienen de la una actividad académica que también aparece descrita en el repositorio y desde donde se puede acceder a otros trabajos relacionados con el Monasterio:● LDGP_inv_002: "Programa intensivo ERASMUS: TOPCART. Documentación Geométrica del Patrimonio (documentación administrativa y académica)", http://hdl.handle.net/10810/9906[EN] The main objective this project is looking for is the exchange of practical methodologies, in topics related with the measure and representation of heritage, between teachers and specially students from different countries. For the achievement of this aim we expect the participation of a group of about 30 students and 8 lecturers from Germany, Italy, Greece, Lithuania and Spain.Activities will be focused on the development of concrete projects in documentation of heritage, specifically in the San Prudencio Monastery (La Rioja, Spain). In this site, digital techniques for the acquisition of geometric information from GPS equipment, surveying total stations, laser scanner and photogrammetry systems, will be put into practice.Obtained data will be processed as follows: first of all, they will be documented by adding necessary metadata in order to ensure their use in the future, then, they will be treated to obtain cartographic representations and virtual models which can be distributed on the Internet.As results we expect: metric data of the monument, graphic models for difussion and collaboration partnertships.[ES] El objetivo principal que se persigue en este proyecto es el intercambio de metodológico práctico, en materias afines a la medida y la representación del patrimonio, entre profesores y fundamentalmente alumnos, de diferentes países. Para la consecución de este fin se espera la participación de un grupo de aproximadamente 25 alumnos y 8 profesores de (Alemania, Italia, Grecia, Lituania y España).Las actividades se centrarán en el desarrollo de proyectos concretos de documentación de elementos patrimoniales, en concreto el apartado práctico se desarrollará en el Monasterio de San Prudencio (La Rioja, España). En el se aplicarán técnicas digitales de registro de información geométrica, constituidas por receptores GPS, estaciones totales topográficas, escáneres láser y sistemas fotogramétricos.Los datos obtenidos serán tratados de la siguiente manera: en primer lugar serán documentados, mediante la adición de la metainformación necesaria para garantizar su utilidad a lo largo del tiempo, seguidamente serán procesados con el fin de obtener las representaciones cartográficas y modelos virtuales de representación que puedan ser difundidas por medio de Internet.Como resultados se pretenden: un conjunto de registros métricos del momento de la intervención, modelos gráficos de difusión y finalmente relaciones de colaboración interpersonal e interinstitucional.European Commission, DG Education and Culture (Erasmus 2009-1-ES1-ERAIP-0013, 2010-1-ES1-ERA10-0024); Organismo Autónomo Programas Educativos Europeos (OAPEE); Gobierno de La Rioja (Spain); Universidad de La Rioja; Clavijo City Council; Logroño City Council; Ilustre Colegio de Ingenieros Técnicos en Topografía (Delegación de La Rioja)[ES] Memoria de proyecto (PDF) [es el último fichero de la lista, el enlace directo es https://addi.ehu.es/bitstream/10810/7053/1053/ldgp_mem011-1_Clavijo_SanPrudencio.pdf] + 11 imágenes de la visita preliminar en abril de 2009, en formato JPEG + 19 nubes de puntos en formato txt (comprimido en ZIP junto a un fichero de metadatos y una imagen que sirve de croquis y que también se presenta suelta) + 27 fotografías tomadas desde un helicóptero radicontrolado en 2011 por el grupo H (JPEG) + 18 fotografías métricas del edificio en forma de -L- tomadas desde el Sur + 13 fotografías métricas del edificio en forma de -L- tomadas desde el Este + 95 fotografías métricas del interior del edificio en forma de -L- (JPEG) + 35 fotografías métricas tomadas desde el cerro que se encuentra al sur (JPEG) + 8 fotografías métricas que forman 4 pares estereoscópicos (2 del grupo B y 2 del grupo D) (JPEG) + 183 fotografías métricas que forman 91 tripletas (grupos B, C y D) (JPEG). [NOTA: este registro no está cerrado, se irán incorporando nuevos materiales de forma progresiva][EN] General report (PDF) [it is the last file of the list, the direct link is https://addi.ehu.es/bitstream/10810/7053/1053/ldgp_mem011-1_Clavijo_SanPrudencio.pdf] + 11 pictures taken during the preliminary visit in April 2009 (JPEG format) + 19 point clouds in plain text (compressed in a ZIP file together with a file with metadata and an image PNG as sketch, these image are also presented on their own) + 27 photographs taken from a remote-controlled helicopter for the group H in 2011(JPEG) + 18 metric pictures of the L-shaped building taken from the South (JPEG) + 13 metric pictures of the L-shaped building taken from the East (JPEG) + 95 metric pictures of the inside part of the L-shaped building (JPEG) + 35 metric photographs taken from the hill opposite in the Southern + 8 metric photographs in four stereopairs (2 from group B and 2 from group D) (JPEG) + 183 metric photographs arranged in 91 triplets from groups B, C and D (JPEG). [NOTE: this record is not closed, more data will be uploaded progressively

Integrating machine learning techniques and physiology based heart rate features for antepartum fetal monitoring

BACKGROUND AND OBJECTIVES: Intrauterine Growth Restriction (IUGR) is a fetal condition defined as the abnormal rate of fetal growth. The pathology is a documented cause of fetal and neonatal morbidity and mortality. In clinical practice, diagnosis is confirmed at birth and may only be suspected during pregnancy. Therefore, designing an accurate model for the early and prompt identification of pathology in the antepartum period is crucial in view of pregnancy management. METHODS: We tested the performance of 15 machine learning techniques in discriminating healthy versus IUGR fetuses. The various models were trained with a set of 12 physiology based heart rate features extracted from a single antepartum CardioTocographic (CTG) recording. The reason for the utilization of time, frequency, and nonlinear indices is based on their standalone documented ability to describe several physiological and pathological fetal conditions. RESULTS: We validated our approach on a database of 60 healthy and 60 IUGR fetuses. The machine learning methodology achieving the best performance was Random Forests. Specifically, we obtained a mean classification accuracy of 0.911 [0.860, 0.961 (0.95 confidence interval)] averaged over 10 test sets (10 Fold Cross Validation). Similar results were provided by Classification Trees, Logistic Regression, and Support Vector Machines. A features ranking procedure highlighted that nonlinear indices showed the highest capability to discriminate between the considered fetal conditions. Nevertheless, is the combination of features investigating CTG signal in different domains, that contributes to an increase in classification accuracy. CONCLUSIONS: We provided validation of an accurate artificially intelligence framework for the diagnosis of IUGR condition in the antepartum period. The employed physiology based heart rate features constitute an interpretable link between the machine learning results and the quantitative estimators of fetal wellbeing

Transfer Entropy Modeling of Newborn Cardiorespiratory Regulation

3Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Milan, Italy This study investigates the complex interplay between the cardiac and respiratory systems in 268 healthy neonates born between 35 and 40 weeks of gestation. The aim is to provide a comprehensive description of the developing cardiorespiratory information transfer mechanisms as a function of gestational age (GA). This report proposes an extension of the traditional Transfer Entropy measure (TE), which employs multiple lagged versions of the time series of the intervals between two successive R waves of the QRS signal on the electrocardiogram (RR series) and respiration time series (RESP). The method aims to quantify the instantaneous and delayed effects between the two processes within a fine-grained time scale. Firstly, lagged TE was validated on a simulated dataset. Subsequently, lagged TE was employed on newborn cardiorespiratory data. Results indicate a progressive increase in information transfer as a function of gestational age, as well as significant differences in terms of instantaneous and delayed interactions between the cardiac and the respiratory system when comparing the two TE directionalities (RR→RESP vs. RESP→RR). The proposed investigation addresses the role of the different autonomic nervous system (ANS) branches involved in the cardiorespiratory system, since the sympathetic and parasympathetic branches operate at different time scales. Our results allow to infer that the two TE directionalities are uniquely and differently modulated by both branches of the ANS. TE adds an original quantitative tool to understanding cardiorespiratory imbalance in early infanc

An integrated approach based on advanced CTG parameters and Doppler measurements for late growth restriction management

The clinical diagnosis of late Fetal Growth Restriction (FGR) involves the integration of Doppler ultrasound data and Fetal Heart Rate (FHR) monitoring through computer assisted computerized cardiotocography (cCTG). The aim of the study was to evaluate the diagnostic power of combined Doppler and cCTG parameters by contrasting late FGR -and healthy controls

Trophoblast inclusions and adverse birth outcomes.

ObjectiveTrophoblast inclusions-cross sections of abnormal trophoblast bilayer infoldings-have previously been associated with aneuploidy, placenta accreta, and prematurity. This study was conducted to establish the relationship between trophoblast inclusions and a range of placental, pregnancy, and birth outcomes in a patient population with high smoking and alcohol exposure. Specifically, we sought to evaluate the association between the presence of trophoblast inclusions and 1) three primary birth outcomes: full-term birth, preterm birth, and stillbirth; 2) gestational age at delivery; and 3) specific placental pathologies.MethodsTwo slides containing chorionic villi were evaluated from 589 placentas that were collected from Stellenbosch University in Cape Town, South Africa as part of the prospective, multicenter cohort Safe Passage Study of the Prenatal Alcohol and SIDS and Stillbirth Network. The subsample included 307 full-term live births, 212 preterm live births, and 70 stillbirths.ResultsWe found that the odds of identifying at least one trophoblast inclusion across two slides of chorionic villi was significantly higher for placentas from preterm compared to term liveborn deliveries (OR = 1.74; 95% CI: 1.22, 2.49, p = 0.002), with an even greater odds ratio for placentas from stillborn compared to term liveborn deliveries (OR = 4.95; 95% CI: 2.78, 8.80, p ConclusionsThe novel associations that we report warrant further investigation in order to understand the complex network of biological mechanisms through which the factors that lead to trophoblast inclusions may influence or reflect the trajectory and health of a pregnancy. Ultimately, this line of research may provide critical insights that could inform both clinical and research applications