oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Any time

2019 ( 1 )

2018 ( 11 )

2017 ( 24 )

2016 ( 19 )

Custom range...

Search Results: 1 - 10 of 3546 matches for " Alexandra Dimitrakopoulou "
All listed articles are free for downloading (OA Articles)
Page 1 /3546
Display every page Item
Unusual Intramuscular Lipoma of Deltoid Muscle
Stylianos Kapetanakis , Jiannis Papathanasiou , Antonios Dermon , Alexandra Dimitrakopoulou , Athanasios Ververidis , Pelagia Chloropoulou , Konstantinos Kazakos
Folia Medica , 2010, DOI: 10.2478/v10153-010-0050-x
Abstract: Lipomas are common soft tissue tumors usually located under the skin. Nevertheless, intramuscular lipomas of deltoid muscle are unusual tumors. We present a case of 74 years old woman with an intramuscular like clepsydra lipoma of deltoid muscle. The lesion was a palpable soft mass at the lateral side of the humerus. The patient had no previous history of trauma. The main symptom was pain only in abduction and extension. Imaging, pathological findings and surgical excision are discussed.
Unusual patterns of Monteggia fracture-dislocation
Constantinos J Kazakos, Vasilios G Galanis, Dennis-Alexander J Verettas, Alexandra Dimitrakopoulou, Alexandros Polychronidis, Constantinos Simopoulos
Journal of Orthopaedic Surgery and Research , 2006, DOI: 10.1186/1749-799x-1-12
Abstract: Fourteen patients were treated between 1999 and 2003 and their injuries consisted of Monteggia fracture-dislocations combined with segmental fractures of the ulna or fractures of the forearm bones and/or various more complex trauma such as neural injuries, bone comminution and severe soft tissue injuries around the elbow. Eight of them (57%) were multiply injured with severe additional injuries. All patients underwent surgery within first 4–6 hours. Internal fixation, external fixation or a combination of both methods were used to stabilize fractures while open wounds had secondary closure.Additional operations were required in 6 patients. The functional results according to the Mayo Elbow Performance Index were excellent or good in eleven patients, and fair or poor in the remaining three. The patients with fair and poor results had suffered from severe neural and soft tissue trauma and/or multiple fractures of the upper extremity.These injuries should be treated as an emergency. The surgeon should apply any available method that can provide stability to the bone fragments and safe handling of the soft tissues giving priority to internal fixation of the fractures. Severe osseous, soft tissue and neural trauma affect the functional results of the elbow region.The term complex joint trauma is used to describe severe injuries that include two or more structural elements of the joint, namely the articulating bones, the major ligaments, the local enveloping soft tissue and the neurovascular structures [1]. Such complex injuries around the elbow joint are often the result of high-energy trauma. They are frequently open. Regel et al [2] defined a complex injury of the elbow joint as a fracture and/or dislocation of the elbow in association with multiple other fractures of the upper extremity, or a severe soft tissue trauma, or a concomitant injury to vessels or nerves. These injuries are uncommon and their management can be difficult [3,4]. Their treatment differs from tha
Russia’s National Security Strategy to 2020: A Great Power in the Making?
Sophia Dimitrakopoulou,Dr. Andrew Liaropoulos
Caucasian Review of International Affairs , 2010,
Abstract: The publication of Russia’s National Security Strategy in May 2009 provoked a discussion regarding the security challenges that Moscow is facing. This article reviews, firstly, the security context that defined the Putin era and then relates the analysis of the latest national security strategy to the broader dilemmas that Russia will encounter in the next decade. The purpose is to identify the priorities and threat perceptions that are outlined in the latest national security strategy and to question whether Russia will become a great power in the near future.
Growing functional modules from a seed protein via integration of protein interaction and gene expression data
Ioannis A Maraziotis, Konstantina Dimitrakopoulou, Anastasios Bezerianos
BMC Bioinformatics , 2007, DOI: 10.1186/1471-2105-8-408
Abstract: In the current study, we present a method that corroborates the integration of protein interaction and microarray data via the discovery of biologically valid functional modules. Initially the gene expression information is overlaid as weights onto the PPI network and the enriched PPI graph allows us to exploit its topological aspects, while simultaneously highlights enhanced functional association in specific pairs of proteins. Then we present an algorithm that unveils the functional modules of the weighted graph by expanding a kernel protein set, which originates from a given 'seed' protein used as starting-point.The integrated data and the concept of our approach provide reliable functional modules. We give proofs based on yeast data that our method manages to give accurate results in terms both of structural coherency, as well as functional consistency.In the post genomic era one of the most challenging tasks is to reveal modular structures in biological networks, in order to comprehend the function and the dynamics of a living cell [1,2]. The vast amount of genes and proteins that participate in biological networks imposes the need for determination of functional modules within the network in order to reduce the complexity, while these modules will be the first step in deciphering the composite genetic or cellular interactions of the overall network.The functional module is defined [1] as a group of genes or their products, whose function is separable from those of other modules. The members of the group share genetic or cellular interactions e.g. co-expression, members of the same protein complex, or of the same metabolic or signalling pathway, or of the same cellular aggregate. A very important property of the module is that its members share more interactions among themselves than with the members of other modules, which is obvious in the network topology [1].The determination of small-scale functional modules, in the form of protein complexes [3] included i
An in silico method for detecting overlapping functional modules from composite biological networks
Ioannis A Maraziotis, Konstantina Dimitrakopoulou, Anastasios Bezerianos
BMC Systems Biology , 2008, DOI: 10.1186/1752-0509-2-93
Abstract: In the current study we integrate proteomics and microarray data of yeast, in the form of a weighted PPI graph. We partition the enriched PPI network with the novel DetMod algorithm and we identify 335 modules. One of the main advantages of DetMod is that it manages to capture the inter-module cross-talk by allowing a controlled degree of overlap among the detected modules. The obtained modules are densely connected in terms of protein interactions, while their members share up to a high degree similar biological process GO terms.Moreover, known protein complexes are largely incorporated in the assessed modules. Finally, we display the prevalence of our method against modules resulting from other computational approaches.The successful integration of heterogeneous data and the concept of the proposed algorithm provide confident functional modules. We also proved that our approach is superior to methods restricted to PPI data only.One of the key issues left at the hands of bioinformatics to be solved, is the deciphering of the complex organization of biological networks. In recent years, many studies have focused on determining small-scale subnetworks with distinct functional role, called functional modules [1,2]. Toward this goal assistance is provided by high throughput techniques such as yeast two hybrid system [3], protein complex identification by mass spectrometry [4,5] and microarray expression profiles [6,7] that generated large amounts of data regarding proteins and genes. However, the challenging task is to integrate these data sources in a manner that will lead to more reliable and valid functional modules.Following this concept all state-of-the-art approaches have elaborated on protein-protein interaction (PPI) networks, where the in-between interactions reflect the direct collaboration of proteins to achieve a certain task. Nevertheless, this data is flooded with many false interactions, thus it is already established that functional modules descending s
Verbal Aggressiveness and Leadership Style of Sports Instructors and Their Relationship with Athletes’ Intrisic Motivation  [PDF]
Alexandra Bekiari
Creative Education (CE) , 2014, DOI: 10.4236/ce.2014.52018
Abstract:

The purpose of the study was to examine intrinsic motivation of athletes and its relation with instructors’ verbal aggressiveness and leadership style. The sample of the study consisted of 168 athletes (95 boys and 73 girls), 15 - 19 years old (M = 16.5, SD = 0.5), participating in different individual and team sports (basketball, volleyball, football, long jump, pole vault, 200 m). Every participant completed three questionnaires, the Verbal Aggressiveness Questionnaire, the Intrinsic Motivation Inventory, and the Leadership Scale for Sports. The results revealed differences existing among variables of the instruments in terms of sex and type of sport (individual or team sport and contact or non contact sport). Pearson correlation revealed a significant positive relationship of coaches’ verbal aggressiveness with anxiety, autocratic style, and a negative significant relationship concerning coaches’ verbal aggression with enjoyment, ability, effort, and democratic style. Findings and implications for instructors’ type of communication were discussed and future research suggestions were included.

Performance Characteristics of Iterative Image Reconstruction Techniques for Routine Use in Positron Emission Tomography.
Strauss, Ludwig G.,Kontaxakis, George,Dimitrakopoulou-Strauss, Antonia
Alasbimn Journal , 2001,
Abstract: The iterative image reconstruction (IIR) is a promising approach to achieve a betterimage quality in PET. However, limitations exist with respect to the required computation time and the influence of reconstruction parameters on quantitative PET data. We implemented different reconstruction algorithms in a PC based reconstruction program and evaluated the effect of the reconstruction algorithms as well as reconstruction parameters on the quantitative PET results.The following IIR algorithms were implemented: maximum likelihood expectation maximization (LMEM), weighted least squares (WLS), image space reconstruction algorithm (ISRA), space alternating generalized expectation maximization (SAGE). The ordered subsets (OS) method and the median root prior (MRP) correction were provided and can be used in combination with each reconstruction algorithm. A dynamic PET study, showing small liver metastases, was used for the evaluation of the properties of the reconstruction parameters. Regions-of-Interest (ROI) were placed in a small high uptake area as well as in a larger low uptake region for quantification purpose using standardized uptake values (SUV). The 128x128 image matrix was generally not suffient to detect the metastases as separate lesions and a 256x256 matrix was required for the delineation of the lesions. Furthermore, the use of the iterative attenuation correction improved the image quality significantly. The lesion detectability deteriorated when more than six iteration steps were used without applying the median root prior correction. In contrast, the median root prior correction improved the lesion detectability with a higher number of iteration steps. The quantitative evaluation of the hot lesion demonstrated a dependency of the uptake values on the number of iterations for all reconstruction methods. In contrast, the SUV of the low uptake area did not show a major variation with the number of iteration steps. Both convergence and noise reduction were improved when the median root prior correction was applied. All reconstruction algorithms showed an increase of the SUV and noise with higher number of subsets. The increase of the median root prior correction value (0.1 to 1.0) resulted in an decrease of the SUV in the hot area. Regarding reconstruction speed, image quality, and accuracy of quantitative data, best results were obtained with OSEM and OSISRA. The image quality of OSSAGE was comparable, but the reconstruction speed slower. OSWLS showed instable results with higher number of iterations. Based on our results, we prefer for routine
LAN Tool: A GIS Tool for the Improvement of Digital Elevation Models Using Drainage Network Attributes  [PDF]
Alexandra Gemitzi, Odysseas Christou
Journal of Geographic Information System (JGIS) , 2013, DOI: 10.4236/jgis.2013.54031
Abstract:

Digital Elevation Models (DEMs) are constructed using altitude point data and various interpolation techniques. The quality and accuracy of DEMs depend on data point density and the interpolation technique used. Usually however, altitude point data especially in plain areas do not provide realistic DEMs, mainly due to errors produced as a result of the interpolation technique, resulting in imprecise topographic representation of the landscape. Such inconsistencies, which are mainly in the form of surface depressions, are especially crucial when DEMs are used as input to hydrologic modeling for impact studies, as they have a negative impact on the model’s performance. This study presents a Geographical Information System (GIS) tool, named LAN (Line Attribute Network), for the improvement of DEM construction techniques and their spatial accuracy, using drainage network attributes. The developed tool does not alter the interpolation technique, but provides higher point density in areas where most DEM problems occur, such as lowland areas or places where artificial topographic features exist. Application of the LAN tool in two test sites showed that it provides considerable DEM improvement.

Mindfulness as a Factor in the Relationship between Insecure Attachment Style, Neurotic Personality and Disordered Eating Behavior  [PDF]
Aileen Pidgeon, Alexandra Grainger
Open Journal of Medical Psychology (OJMP) , 2013, DOI: 10.4236/ojmp.2013.24B005
Abstract:

Mindfulness, conceptualized as a dispositional trait that differs across individuals, may potentially influence disordered eating behaviors. Previous research has independently identified insecure attachment style and neurotic personality traits as correlates of disordered eating behavior. Thus this current study will investigate whether neurotic personality traits, insecure attachment style and mindfulness predict disordered eating behavior controlling for gender differences. Participants (N = 126) completed the Adult Attachment Scale [1], the Three Factor Eating Questionnaire – Revised 18 [2], The Cognitive and Affective Mindfulness Scale – Revised [3] and the International Personality Item Pool [4]. The results of this cross-sectional study indicated that neurotic personality traits, insecure attachment style and mindfulness were related to disordered eating behaviors. The variance in disordered eating behaviors that was accounted for by neurotic personality traits and insecure attachment style was significantly reduced with the introduction of mindfulness. The results provides preliminary support for the inclusion of mindfulness training in disordered eating behavior interventions for individuals exhibiting an insecure attachment style and neurotic personality traits. Limitations and implications for further research are discussed.

Urban Trends and Economic Development in China: Geography Matters!  [PDF]
Michel Dimou, Alexandra Schaffar
Current Urban Studies (CUS) , 2014, DOI: 10.4236/cus.2014.23016
Abstract: The aim of this paper is to document the role of spatial effects in the relationship between urban trends and economic development in China, between 1984 and 2004. During this period the Chi-nese urban system experienced dramatic changes, with significant rural-urban, intra-provincial and interprovincial migration, mainly after the 1993 reforms that eased the former Hukou rule and abolished the prevailing cross-region labor mobility restrictions. This study draws upon recent econometrical tools based on spatial panel data models, developed in order to deliver evidence for a linear relationship between urbanization rates and GDP per capita and an inverted-U relationship between urban primacy and GDP per capita in the Chinese provinces.
Page 1 /3546
Display every page Item


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.