Classification of Jaw Bone Cysts and Necrosis via the Processing of Orthopantomograms

The authors analyze the design of a method for automatized evaluation of parameters in orthopantomographic images capturing pathological tissues developed in human jaw bones. The main problem affecting the applied medical diagnostic procedures consists in low repeatability of the performed evaluation. This condition is caused by two aspects, namely subjective approach of the involved medical specialists and the related exclusion of image processing instruments from the evaluation scheme. The paper contains a description of the utilized database containing images of cystic jaw bones; this description is further complemented with appropriate schematic repre¬sentation. Moreover, the authors present the results of fast automatized segmentation realized via the live-wire method and compare the obtained data with the results provided by other segmentation techniques. The shape parameters and the basic statistical quantities related to the distribution of intensities in the segmented areas are selected. The evaluation results are provided in the final section of the study; the authors correlate these values with the subjective assessment carried out by radiologists. Interestingly, the paper also comprises a discussion presenting the possibility of using selected parameters or their combinations to execute automatic classification of cysts and osteonecrosis. In this context, a comparison of various classifiers is performed, including the Decision Tree, Naive Bayes, Neural Network, k-NN, SVM, and LDA classifica¬tion tools. Within this comparison, the highest degree of accuracy (85% on the average) can be attributed to the Decision Tree, Naive Bayes, and Neural Network classifier

Asimetría fluctuante como un indicador de estrés ambiental en pequeños mamíferos

La estabilidad del desarrollo de un organismo se refleja en la capacidad que posee de producir una forma “ideal” bajo un conjunto particular de condiciones. Las estructuras bilaterales en organismos con simetría bilateral ofrecen una simetría precisa sobre la cual se pueden comparar desviaciones. La herramienta más utilizada para estimar la estabilidad del desarrollo es la asimetría fluctuante, la cual considera las pequeñas desviaciones aleatorias que ocurren entre los lados derecho e izquierdo de rasgos bilaterales, y es la única asimetría adecuada como indicador de estrés ambiental/genético. Resumimos cuatro décadas de estudios en donde la asimetría fluctuante fue utilizada para evaluar el efecto de estrés ambiental sobre pequeños mamíferos. Este grupo de especies ha sido ampliamente utilizado en estudios ecológicos para inferir perturbaciones ambientales debido a sus variadas características. Se seleccionaron 27 artículos compilados con Google Académico, utilizando “asimetría fluctuante” y “pequeños mamíferos” como palabras claves, escritas en inglés y con objetivos ecológicos. Centramos nuestro análisis en los enfoques utilizados para evaluar la asimetría fluctuante (medidas lineales o morfometría geométrica), el factor de estrés (natural o antropogénico), la región donde se desarrolló el estudio, el número de rasgos utilizado en los estudios y las fuentes de datos (muestras de pellets de lechuza, colecciones científicas y capturas directa de animales). La revisión muestra la importancia de incluir la asimetría fluctuante en estudios ecológicos como un indicador biológico confiable, económico y rápido del efecto del estrés ambiental sobre los mamíferos.The developmental stability of an organism is reflected in its ability to produce an ‘ideal’ form under a particular set of conditions. Bilateral structures in bilaterally symmetrical organisms offer a precise symmetry against which departures may be compared. The tool mostly used to estimate the development stability is fluctuating asymmetry, which considers small random deviations that occur between the left and right sides of a bilateral trait. Fluctuating asymmetry is considered as the only form of asymmetry that can serve as a useful indicator of environmental/genetic stress. We summarized four decades of studies where fluctuating asymmetry was used to assess the effects of environmental stress in small mammals. This group of species has been widely used in ecological studies to infer environmental disturbances because of its wide range of characteristics. We selected 27 articles that were compiled with Google Scholar (Mountain View, CA) using “fluctuating asymmetry” and “small mammals” as key words, written in English and with ecological objectives. We focused our analyses on the approaches used to evaluate fluctuating asymmetry (linear measurements or geometric morphometrics), the stress factor (natural or anthropogenic), the region where the study was developed, the number of traits used in the studies and the data sources, including measures obtained from samples of barn owl pellets, scientific collections and captured animals. The review shows the importance of including fluctuating asymmetry in ecological studies as a reliable, cheap and fast biological indicator of the effect of environmental stress on mammals.Fil: Coda, José Antonio. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Ciencias Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Martínez, Juan José. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; ArgentinaFil: Steinmann, Andrea Rosa. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Ciencias Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Priotto, Jose Waldemar. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Ciencias Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gomez, Maria Daniela. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Ciencias Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization

Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multi-modal optimization is proposed to formalize these data mining problems, and addressed through Evolutionary Computation (EC). The merits of EC for spatio-temporal data mining are demonstrated as the approach facilitates the modelling of the experts' requirements, and flexibly accommodates their changing goals

OpenML: networked science in machine learning

Many sciences have made significant breakthroughs by adopting online tools that help organize, structure and mine information that is too detailed to be printed in journals. In this paper, we introduce OpenML, a place for machine learning researchers to share and organize data in fine detail, so that they can work more effectively, be more visible, and collaborate with others to tackle harder problems. We discuss how OpenML relates to other examples of networked science and what benefits it brings for machine learning research, individual scientists, as well as students and practitioners.Comment: 12 pages, 10 figure

On Suggesting Entities as Web Search Queries

The Web of Data is growing in popularity and dimension, and named entity exploitation is gaining importance in many research fields. In this paper, we explore the use of entities that can be extracted from a query log to enhance query recommendation. In particular, we extend a state-of-the-art recommendation algorithm to take into account the semantic information associated with submitted queries. Our novel method generates highly related and diversified suggestions that we as- sess by means of a new evaluation technique. The manually annotated dataset used for performance comparisons has been made available to the research community to favor the repeatability of experiments

The development of an electrochemical technique for in situ calibrating of combustible gas detectors

A program to determine the feasibility of performing in situ calibration of combustible gas detectors was successfully completed. Several possible techniques for performing the in situ calibration were proposed. The approach that showed the most promise involved the use of a miniature water vapor electrolysis cell for the generation of hydrogen within the flame arrestor of a combustible gas detector to be used for the purpose of calibrating the combustible gas detectors. A preliminary breadboard of the in situ calibration hardware was designed, fabricated and assembled. The breadboard equipment consisted of a commercially available combustible gas detector, modified to incorporate a water vapor electrolysis cell, and the instrumentation required for controlling the water vapor electrolysis and controlling and calibrating the combustible gas detector. The results showed that operation of the water vapor electrolysis at a given current density for a specific time period resulted in the attainment of a hydrogen concentration plateau within the flame arrestor of the combustible gas detector

Towards Validating Risk Indicators Based on Measurement Theory (Extended version)

Due to the lack of quantitative information and for cost-efficiency, most risk assessment methods use partially ordered values (e.g. high, medium, low) as risk indicators. In practice it is common to validate risk indicators by asking stakeholders whether they make sense. This way of validation is subjective, thus error prone. If the metrics are wrong (not meaningful), then they may lead system owners to distribute security investments inefficiently. For instance, in an extended enterprise this may mean over investing in service level agreements or obtaining a contract that provides a lower security level than the system requires. Therefore, when validating risk assessment methods it is important to validate the meaningfulness of the risk indicators that they use. In this paper we investigate how to validate the meaningfulness of risk indicators based on measurement theory. Furthermore, to analyze the applicability of the measurement theory to risk indicators, we analyze the indicators used by a risk assessment method specially developed for assessing confidentiality risks in networks of organizations