Arabidopsis phenotyping through geometric morphometrics

Background: Recently, great technical progress has been achieved in the field of plant phenotyping. High-throughput platforms and the development of improved algorithms for rosette image segmentation make it possible to extract shape and size parameters for genetic, physiological, and environmental studies on a large scale. The development of low-cost phenotyping platforms and freeware resources make it possible to widely expand phenotypic analysis tools for Arabidopsis. However, objective descriptors of shape parameters that could be used independently of the platform and segmentation software used are still lacking, and shape descriptions still rely on ad hoc or even contradictory descriptors, which could make comparisons difficult and perhaps inaccurate. Modern geometric morphometrics is a family of methods in quantitative biology proposed to be the main source of data and analytical tools in the emerging field of phenomics studies. Based on the location of landmarks (corresponding points) over imaged specimens and by combining geometry, multivariate analysis, and powerful statistical techniques, these tools offer the possibility to reproducibly and accurately account for shape variations among groups and measure them in shape distance units. Results: Here, a particular scheme of landmark placement on Arabidopsis rosette images is proposed to study shape variation in viral infection processes. Shape differences between controls and infected plants are quantified throughout the infectious process and visualized. Quantitative comparisons between two unrelated ssRNA+ viruses are shown, and reproducibility issues are assessed. Conclusions: Combined with the newest automated platforms and plant segmentation procedures, geometric morphometric tools could boost phenotypic features extraction and processing in an objective, reproducible manner.Instituto de BiotecnologíaFil: Manacorda, Carlos Augusto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Asurmendi, Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Arabidopsis phenotyping through geometric morphometrics

Background: Recently, great technical progress has been achieved in the field of plant phenotyping. High-throughput platforms and the development of improved algorithms for rosette image segmentation make it possible to extract shape and size parameters for genetic, physiological, and environmental studies on a large scale. The development of low-cost phenotyping platforms and freeware resources make it possible to widely expand phenotypic analysis tools for Arabidopsis. However, objective descriptors of shape parameters that could be used independently of the platform and segmentation software used are still lacking, and shape descriptions still rely on ad hoc or even contradictory descriptors, which could make comparisons difficult and perhaps inaccurate. Modern geometric morphometrics is a family of methods in quantitative biology proposed to be the main source of data and analytical tools in the emerging field of phenomics studies. Based on the location of landmarks (corresponding points) over imaged specimens and by combining geometry, multivariate analysis, and powerful statistical techniques, these tools offer the possibility to reproducibly and accurately account for shape variations among groups and measure them in shape distance units. Results: Here, a particular scheme of landmark placement on Arabidopsis rosette images is proposed to study shape variation in viral infection processes. Shape differences between controls and infected plants are quantified throughout the infectious process and visualized. Quantitative comparisons between two unrelated ssRNA+ viruses are shown, and reproducibility issues are assessed. Conclusions: Combined with the newest automated platforms and plant segmentation procedures, geometric morphometric tools could boost phenotypic features extraction and processing in an objective, reproducible manner.Fil: Manacorda, Carlos Augusto. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Asurmendi, Sebastian. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Consistent collective decisions under majorities based on difference of votes

The main criticism to the aggregation of individual preferences under majority rules refers to the possibility of reaching inconsistent collective decisions from the election process. In these cases, the collective preference includes cycles and even could prevent the election of any alternative as the collective choice. The likelihood of consistent outcomes under a class of majority rules constitutes the aim of this paper. Specifically, we focus on majority rules that require certain consensus in individual preferences to declare an alternative as the winner. Under majorities based on difference of votes, the requirement asks to the winner alternative to obtain a difference in votes with respect to the loser alternative taking into account that individuals are endowed with weak preference orderings. Same requirement is asked to the restriction of these rules to individual linear preferences

Komatxo artean 2: mahai-inguruak (2002-2006)

153 p.Euskal literatur mundua azken urteotan astindu duten gai garrantzitsuenetako zenbait eztabaidatzen dira honako mahainguru radiofonikoetan: belaunaldien arteko harremanak, literatur kritikaren gazi-gozoak, editore eta idazleen arteko gora-beherak, poesiaren etorkizuna, euskal irakurlegoaren izaera, kazetaritza eta literaturaren arteko amodio eta desamodioak, ipuin kontalaritzaren menturak, herri antzerkiaren iragana eta oraina..

An Algorithm to detect atrial fibrillation using short ECG segments

La fibrilación atrial es una enfermedad difícil de detectar hasta que se manifiesta de forma seria. Sin embargo, si se detecta con suficiente tiempo se puede aplicar un tratamiento para que sus síntomas estén controlados y no llegue a ser mortal. El objetivo de este proyecto es desarrollar un software que permita la detección de fibrilaciones atriales en electrocardiogramas de corta duración. Esto posibilitaría una temprana detección en electrocardiogramas realizados en centros de salud y hospitales, sin tener que hacer un estudio largo de la actividad cardiaca. Para llevar a cabo este trabajo se trabajara con el concepto de Deep Learning. Antes de ello, se implementa un detector de latidos automático, el cual debe ser muy preciso en la detección del pico de la onda R en el complejo QRS. A continuación se crea una red neuronal que será la encargada de diferenciar entre fibrilaciones atriales y ritmos sinusales. Por último, se evalúan los resultados obtenidos y se plantean los diferentes beneficios que supondría su implementación.Fibrilazio aurikularra gaixotasun zaila da hautemateko, modu larrian agertzen den arte. Hala ere, denbora nahikorekin hautematen bada, sintomak kontrolatzeko tratamendua jar daiteke eta ez da hilgarri izango. Proiektu honen helburua epe laburreko elektrokardiogrametan fibrilazio aurikularrak detektatzeko softwarea garatzea da. Modu honetan osasun zentroetan eta ospitaleetan burutu diren elektrokardiogrametan fibrilazio aurikularrak goiz detektatzea ahalbidetuko litzateke, bihotz-jardueraren azterketa luzea egin beharik gabe. Lan hau burutzeko Deep Learning kontzeptua lantzen dugu. Honen aurretik, bihotz taupaden detektore automatiko bat jarri da. Detektorea, oso zehatza izan behar du QRS konplexuko R uhinaren gailurra hautemateko. Ondoren, fibrilazio atrialen eta erritmo normalen artean bereizteko ardura duen neurona-sarea sortuko da. Azkenik, lortutako emaitzak ebaluatzen dira eta metodoaren aplikazioak dituen onura ezberdinak aztertuko dira.Atrial fibrillation is a difficult disease to detect until it manifests in a serious way. However, if it is detected early enough, treatment can be applied so that symptoms are controlled and do not become deadly. The objective of this project is to develop software that allows the detection of atrial fibrillations in short-term electrocardiograms. This would allow early detection in electrocardiograms performed in health centers and hospitals, without having to make a long study of cardiac activity. To carry out this work we will work with the concept of Deep Learning. Before that, an automatic heartbeat detector is implemented, which must be very accurate in detecting the peak of the R wave in the QRS complex. Then, a neural network is created that will be responsible for differentiating between atrial fibrillations and sinus rhythms. Finally, the results are evaluated and considered the various benefits that will have its implementation.

Caracterización de la interferencia de las compresiones torácicas en la señal de capnografía durante la reanimación cardiopulmonar.

La técnica de reanimación cardiopulmonar (RCP) es una maniobra salva vidas cuando se produce una parada cardiorrespiratoria. Es por eso que desde hace décadas, se buscan parámetros que describan la calidad de esta. Hasta hace algunos años, estas métricas de calidad eran la profundidad y frecuencia de las compresiones, pero se ha añadido recientemente la señal de capnografía a analizar durante la maniobra. Esta es una señal de gran relevancia ya que informa sobre el estado hemodinámico del paciente. A pesar de ser una señal con un gran aporte sanitario, esta señal suele sufrir oscilaciones frecuentes debidas a las compresiones torácicas que dificultan su interpretación clínica. Es por ello que se ha estudiado esta señal y su comportamiento en el ámbito de la RCP. Este trabajo ha tenido como objetivo analizar la amplitud de esas oscilaciones, su relación con los parámetros clásicos de calidad de las compresiones y si la presencia de estas pudiera indicar un mejor pronóstico para el paciente.Bihotz-biriketako bizkortze-teknika (BBB) bizitzak salbatzeko maniobra da bihotz-biriketako geldialdia gertatzen denean. Horregatik, duela hamarkada batzuetatik hona, haren kalitatea deskribatzen duten parametroak bilatzen dira. Duela urte batzuk arte, konpresioen sakontasuna eta maiztasuna ziren kalitate-metrikak, baina berriki kapnografia-seinalea gehitu da maniobran zehar aztertzeko. Seinale hori oso garrantzitsua da, pazientearen egoera hemodinamikoari buruzko informazioa ematen baitu. Osasun-ekarpen handia duen seinalea izan arren, seinale horrek gorabehera ugari izaten ditu, toraxeko konpresioen ondorioz, eta horrek zaildu egiten du haren interpretazio klinikoa. Hori dela eta, seinale hori eta BBBren esparruan duen portaera aztertu dira. Lan honen helburua gorabehera horien zabaltasuna, konpresioen kalitate-parametro klasikoekin duten lotura eta konpresioen presentziak pazientearentzat pronostiko hobea adieraz dezakeen aztertzea izan da.Cardiopulmonary resuscitation technique (CPR) is a life-saving manoeuvre in the event of cardiorespiratory arrest. That is why, for decades, parameters describing the quality of CPR have been sought. Until a few years ago, these quality metrics were the depth and frequency of compressions, but recently the capnography signal has been added to be analysed during the manoeuvre. This is a highly relevant signal as it provides information on the haemodynamic status of the patient. Although it is a signal with a high health benefit, this signal is often subject to frequent oscillations due to chest compressions, which makes it difficult to interpret clinically. This is why this signal and its behaviour in CPR have been studied. The aim of this study was to analyse the amplitude of these oscillations, their relationship with the classic parameters of compression quality and whether the presence of these oscillations could indicate a better prognosis for the patient

Río Colorado Subgroup (Neuquén Group): Paleosimicity record in the Andean foreland basin, Neuquén basin, Neuquén y Río Negro provinces

La cuenca Neuquina se localiza en el sector centro-oeste de Argentina, constituyendo el depocentro mesozoico-neogeno más importante y una de las cuencas del hemisferio sur con excelente registro marino y continental. La evolución de la cuenca Neuquina se encuentra caracterizada por tres estadios de evolución: una etapa inicial de rift; subducción relacionada a un sag termal y un estadio de cuenca de antepaís. El Subgrupo Río Colorado es depositado en la cuenca durante el desarrollo de la etapa de antepaís. La tectónica sindepositacional del subgrupo es registrada por tres niveles deformados, dos en la Formación Bajo de Carpa y uno en la Formación Anacleto. Los mismos están integrados por estructuras de deformación y licuefacción interpretadas como sismitas. La deformación está representada por estructuras de carga simple, bolas y cogines, flamígeras, pseudonódulos, laminación convoluta, pinch and swell, slumps, areniscas desorganizadas, areniscas replegadas, diapiros de fango, fracturas, dish and pillar y brechas autoclásticas. Estas deformaciones en la Formación Bajo de la carpa involucra depósitos de cinturones de canal y de planicie de inundación; mientras que en la Formación Anacleto afecta a los depósitos de canales de mareas de alta y baja sinuosidad; planicies intermareal fango-arenosa y planicie fangosa supramareal, asociados a un sistema estuárico medio. Los niveles de sísmitas reconocidos podrían estar asociados al lineamiento Lindero Atravesado y Sierra Barrosa y ser una respuesta dinámica a la actividad de dichas es-tructuras. La naturaleza de las estructuras y su distribución sugiere que la magnitud de los sismos podría ser mayor a 6 en escala de Ritcher en el Mesozoico.The Neuquén basin is located in the central and western part of Argentina and represents the most important Mesozoic-Neogene depocenter in the country and is one of the basins of the Southern Hemisphere with an excellent marine and continental record. It is characterized by three stage of evolution: an initial rift, subduction related to “sag” a state of thermal and foreland basin. The Río Colorado Subgroup is deposited during the foreland development. Subgroup sindepositacional tectonics is recorded by three deformational levels, two in Bajo de la Carpa Formation and one in the Anacleto Formation. They are composed of deformation and liquefaction structures interpreted as sismites. The deformation is represented by simple load structures, balls and pillows, flaming, pseudonódulos, lamination convolute, pinch and swell, slumps, sandstone disorganized, folded sandstone, mud diapirs, fractures, dish and pillar and autoclastic breccias. These deformational structures in the Bajo de la Carpa Formation involves deposits of channel belts and flood plain, while in the Anacleto Formation deposits affects the tidal channels of high and low sinuosity, intertidal mud flats, sandy and muddy plain supratidal associated with an middle estuarine system. The recognized sismitas levels are probably associated with Sierra Barrosa and Lindero Atravesado lineaments and these maybe are dynamic response to the activity of the structures. The nature of the structures and their distribution suggests that the magnitude of earthquakes is greater than 6 on Richter scale.Fil: Sanchez, Maria Lidia. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Geología; ArgentinaFil: Asurmendi, Estefania. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Geología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Armas, María Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Geología; Argentin

Komatxo artean 2: mahai-inguruak (2002-2006)

153 p.Euskal literatur mundua azken urteotan astindu duten gai garrantzitsuenetako zenbait eztabaidatzen dira honako mahainguru radiofonikoetan: belaunaldien arteko harremanak, literatur kritikaren gazi-gozoak, editore eta idazleen arteko gora-beherak, poesiaren etorkizuna, euskal irakurlegoaren izaera, kazetaritza eta literaturaren arteko amodio eta desamodioak, ipuin kontalaritzaren menturak, herri antzerkiaren iragana eta oraina..