Automatic Detection and Classification of Glioma Tumors using Statistical Features

The characterization and grading of glioma tumors, via image derived features, for diagnosis, prognosis, and treatment response has been an active research area in medical image computing. This paper presents a novel method for automatic detection and classification of glioma from conventional T2 weighted MR images. Automatic detection of the tumor was established using newly developed method called Adaptive Gray level Algebraic set Segmentation Algorithm (AGASA).Statistical Features were extracted from the detected tumor texture using first order statistics and gray level co-occurrence matrix (GLCM) based second order statistical methods. Statistical significance of the features was determined by t-test and its corresponding p-value. A decision system was developed for the grade detection of glioma using these selected features and its p-value. The detection performance of the decision system was validated using the receiver operating characteristic (ROC) curve. The diagnosis and grading of glioma using this non-invasive method can contribute promising results in medical image computing

PREDOMINANT FEATURES OF THE POETICAL WORKS OF HARIBANSRAI BACCHAN

HINDI

Dynamic Injection of Scribble Features into Graphical Diagram Editors

Almost everyone sketches. People use sketches day in and day out in many different and heterogeneous fields, to share their thoughts and clarify ambiguous interpretations, for example. The media used to sketch varies from analog tools like flipcharts to digital tools like smartboards. Whereas analog tools are usually affected by insufficient editing capabilities like cut/copy/paste, digital tools greatly support these scenarios. Digital tools can be grouped into informal and formal tools. Informal tools can be understood as simple drawing environments, whereas formal tools offer sophisticated support to create, optimize and validate diagrams of a certain application domain. Most digital formal tools force users to stick to a concrete syntax and editing workflow, limiting the user’s creativity. For that reason, a lot of people first sketch their ideas using the flexibility of analog or digital informal tools. Subsequently, the sketch is "portrayed" in an appropriate digital formal tool. This work presents Scribble, a highly configurable and extensible sketching framework which allows to dynamically inject sketching features into existing graphical diagram editors, based on Eclipse GEF. This allows to combine the flexibility of informal tools with the power of formal tools without any effort. No additional code is required to augment a GEF editor with sophisticated sketching features. Scribble recognizes drawn elements as well as handwritten text and automatically generates the corresponding domain elements. A local training data library is created dynamically by incrementally learning shapes, drawn by the user. Training data can be shared with others using the WebScribble web application which has been created as part of this work.

Relative Contributions of Internal and External Features to Face Recognition

The central challenge in face recognition lies in understanding the role different facial features play in our judgments of identity. Notable in this regard are the relative contributions of the internal (eyes, nose and mouth) and external (hair and jaw-line) features. Past studies that have investigated this issue have typically used high-resolution images or good-quality line drawings as facial stimuli. The results obtained are therefore most relevant for understanding the identification of faces at close range. However, given that real-world viewing conditions are rarely optimal, it is also important to know how image degradations, such as loss of resolution caused by large viewing distances, influence our ability to use internal and external features. Here, we report experiments designed to address this issue. Our data characterize how the relative contributions of internal and external features change as a function of image resolution. While we replicated results of previous studies that have shown internal features of familiar faces to be more useful for recognition than external features at high resolution, we found that the two feature sets reverse in importance as resolution decreases. These results suggest that the visual system uses a highly non-linear cue-fusion strategy in combining internal and external features along the dimension of image resolution and that the configural cues that relate the two feature sets play an important role in judgments of facial identity.

The Japanese Business System: Key Features and Prospects for Change

This paper argues that the Japanese business system cannot be adequately understood without extending the focus of analysis beyond the individual firm to the vertical keiretsu, or business group. The vertical group or keiretsu structure was first identified and studied in the auto and electronics industries, where it is most strongly marked, but it characterizes virtually all sectors, service industries as well as manufacturing. Large industrial vertical keiretsu are composed of subsidiaries engaged in three distinct types of activities (manufacturing, marketing, and quasirelated business). The coordination and control systems are built on the flows of products, financial resources, information and technology, and people across formal company boundaries, with the parent firm controlling the key flows. The paper examines the prevailing explanations first for the emergence and then for the persistence of the vertical group structure, and looks at the current pressures for change and adaptation in the system.

New Features of CoDaPack. An Userfriendly Compositional Data Package

The statistical analysis of compositional data is commonly used in geological studies. As is well-known, compositions should be treated using logratios of parts, which are difficult to use correctly in standard statistical packages. In this paper we describe the new features of our freeware package, named CoDaPack, which implements most of the basic statistical methods suitable for compositional data. An example using real data is presented to illustrate the use of the package

Clinical features and treatment response in social phobia : Axis II comorbidity and social phobia subtypes

Resumen tomado de la publicaci??n

Early psychopathological features in Spanish adolescents

Resumen tomado de la publicaci??n

Using Word Count features in MS Word 2010

Knowing the number of words in a Word 2010 document or in a text selection within a file can be very useful. See how to use Word’s word count features. For best viewing Download the video.

Using Word Count features in MS Word 2011

Knowing the number of words in a Word 2011 document or in a text selection within a file can be very useful. See how to use Word’s word count features. For best viewing Download the video.

The narrative of arguing the personalised news

Bay 9 are hoping to pioneer a way to encourage postgrads and staff in the lab to get over the fear of presenting their work to the group. The members of the bay will each give a 6m40s Pecha Kucha explaining their current research work through pictures. The topics of the pecha kuchas are: - Citizen Participation in News: An analysis of the landscape of online journalism (Jonny) - Argumentation on the Social Web (Tom) - From Narrative Systems to Ubiquitous Computing for Psychology - and everything in between (Charlie) - Is it worth sharing user model data? (Rikki)

Terapia asistida con perros en niños con autismo revisión sistemática

Introducción: El autismo es un trastorno temprano y masivo del desarrollo en el cual se afecta la interacción social, el desarrollo del lenguaje, se presentan rituales y estereotipias. Hay evidencia que la interacción con un perro está asociada con efectos positivos en la salud del niño, lo cual se extiende al terreno terapéutico donde la compañía del perro estimula habilidades comunicativas para conectarse con el mundo exterior y romper el aislamiento que lo hace refractario a formas convencionales de tratamiento. El objetivo del estudio fue realizar una Revisión Sistemática sobre efectos de la terapia con perros en niños autistas entre dos y doce años. Metodología: Revisión sistemática de la literatura de artículos obtenidos de bases de datos, revisiones sistemáticas y Meta-buscadores que proporcionaron evidencia de la terapia con perros en niños autistas. Se describió características y resultados de estudios obtenidos. Resultados: Dos artículos cumplieron criterios de inclusión. Cuatro niños fueron evaluados en dichos estudios. La presencia del perro disminuyó la agresividad, las conductas ritualizadas y obsesivas. Potencializó los comportamientos positivos como contacto visual y comunicación social. Discusión: la terapia asistida con perros proporciona un gran potencial en la intervención del trastorno autista. Relevante tener en cuenta algunos factores como: efectos a largo plazo, el perro a utilizar y la heterogeneidad del espectro autista que pueden condicionar líneas de investigación futura. Conclusiones: Es importante la realización de estudios de mayor rigor metodológico que permitan fortalecer la evidencia sobre los resultados de la terapia con perros en niños con autismo.

Anecdotisme = Anecdotismo = The narrative style = L'anecdotisme.

Guía para la visita de la quinta sala del Museo de Arte Moderno de Cataluña. Esta sala trata contenidos sobre el Anecdotismo. Mediante un mapa, esta guía orienta al visitante por los distintos espacios de la sala.