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Salih Onur Basat, Fatih Ceran, Ufuk Askeroglu, Tolga Aksan, Cagdas Orman, Memet Yazar, Ilker Uscetin, Mithat Akan, Mehmet Bozkurt
BACKGROUND: Prominent ear deformity (PD) is an unacceptable condition of pinna that affects 5% of the population and is associated with emotional stress, behavioral disturbances, and social restrictions in relationships. Conchal hypertrphy, inadequate formation of antihelical fold, earlobe placement ahead than it should be, or various combinations of these changes are main characteristics of PD. Many surgical techniques have been described for the PD.The authors' aim was to present laterally based postauricular dermal flap combination with cartilage-sparing methods and effectiveness of this technique in suture extrusion prevention and reducing the rate of recurrence with long-term results...
September 2016: Journal of Craniofacial Surgery
Leila M Naeni, Hugh Craig, Regina Berretta, Pablo Moscato
In this study we propose a novel, unsupervised clustering methodology for analyzing large datasets. This new, efficient methodology converts the general clustering problem into the community detection problem in graph by using the Jensen-Shannon distance, a dissimilarity measure originating in Information Theory. Moreover, we use graph theoretic concepts for the generation and analysis of proximity graphs. Our methodology is based on a newly proposed memetic algorithm (iMA-Net) for discovering clusters of data elements by maximizing the modularity function in proximity graphs of literary works...
2016: PloS One
Memet Yazar, Sevgi Kurt Yazar, Erol Kozanoğlu
BACKGROUND: Many things cause leg asymmetry and sequelae seen after poliomyelitis infections are still a cause of leg deformities. In this study, lipofilling and liposuction combinations are performed on patients with poliomyelitis sequelae. Volume deficiency is not the only leg problem with polio sequelae, leg length is also a problem. For this reason, the length deficiency must be addressed in order to achieve the desired symmetry. The aim of this study is correcting limb asymmetry by a method addressing both limb length deficiency by heel raise and volume deficiency by injection of fat based on corrected limb length...
September 2016: Journal of Plastic, Reconstructive & Aesthetic Surgery: JPRAS
Michail Karanikas, Agis Esempidis, Zeinep Tzoutze Memet Chasan, Theodora Deftereou, Maria Antonopoulou, Ferdi Bozali, Kyriakos Amarantidis, Yan-Gao Man
Pancreatic cancer is considered one of the most lethal malignances. It has been observed that the five year survival rate is less than 5%. Early diagnosis, understanding the risk factors and investigation of the molecular pathways with targeted therapy are the keys for efficient treatment. Moreover; there are several local treatments for patients with unresectable pancreatic cancer. There are several combined therapies with chemotherapy and radiotherapy, however; a local therapy approach for many patients with poor performance status are in need...
2016: Journal of Cancer
Minh Luan Nguyen, Siu Cheung Hui, Alvis C M Fong
Parallel test paper generation is a biobjective distributed resource optimization problem, which aims to generate multiple similarly optimal test papers automatically according to multiple user-specified assessment criteria. Generating high-quality parallel test papers is challenging due to its NP-hardness in both of the collective objective functions. In this paper, we propose a submodular memetic approximation algorithm for solving this problem. The proposed algorithm is an adaptive memetic algorithm (MA), which exploits the submodular property of the collective objective functions to design greedy-based approximation algorithms for enhancing steps of the multiobjective MA...
June 23, 2016: IEEE Transactions on Cybernetics
Michalis Mavrovouniotis, Felipe M Muller, Shengxiang Yang
For a dynamic traveling salesman problem (DTSP), the weights (or traveling times) between two cities (or nodes) may be subject to changes. Ant colony optimization (ACO) algorithms have proved to be powerful methods to tackle such problems due to their adaptation capabilities. It has been shown that the integration of local search operators can significantly improve the performance of ACO. In this paper, a memetic ACO algorithm, where a local search operator (called unstring and string) is integrated into ACO, is proposed to address DTSPs...
June 13, 2016: IEEE Transactions on Cybernetics
Michail Karanikas, Ferdi Bozali, Vasileia Vamvakerou, Markos Markou, Zeinep Tzoutze Memet Chasan, Eleni Efraimidou, Theodossis S Papavramidis
Bile duct lesions, including leaks and strictures, are immanent complications of open or laparoscopic cholecystectomy (LC). Endoscopic procedures have gained increasing potential as the treatment of choice in the management of postoperative bile duct injuries. Bile duct injury (BDI) is a severe and potentially life-threatening complication of LC. Several series have described a 0.5% to 0.6% incidence of BDI during LC. Early recognition and an adequate multidisciplinary approach are the cornerstones for the optimal final outcome...
May 2016: Annals of Translational Medicine
V N Coelho, I M Coelho, M J F Souza, T A Oliveira, L P Cota, M N Haddad, N Mladenovic, R C P Silva, F G Guimarães
This paper presents an Evolution Strategy (ES) based algorithm, designed to self-adapt its mutation operators, guiding the search into the solution space using a Self-Adaptive Reduced Variable Neighborhood Search procedure. In view of the specific local search operators for each individual, the proposed population-based approach also fits into the context of the Memetic Algorithms. The proposed variant uses the Greedy Randomized Adaptive Search Procedure with different greedy parameters for generating its initial population, providing an interesting exploration-exploitation balance...
June 3, 2016: Evolutionary Computation
Karaca Basaran, Salih Onur Basat, Asuman Ozel, Memet Yazar, Ergun Bozdag, Meral Tuna, Mehmet Sar, Ozgur Pilanci
BACKGROUND: The harvesting of septal cartilage following mucoperichondrial flap elevation has almost become a standard step in rhinoplasty. However, the strength of the remaining septum has not yet been evaluated. In the current experimental study of a rabbit rhinoplasty model, the remaining septum following a graft harvest was analyzed both biomechanically and pathologically. METHODS: Forty New Zealand rabbits were classified into four equal groups. Group 1 consisted of the animals in which unilateral elevation of the mucoperichondrial flaps was undertaken before the graft harvest, group 2 consisted of the animals in which bilateral elevation was undertaken, group 3 included the animals where the septum was exposed and left untouched after a bilateral mucosal flap elevation, and group 4 was designated as the control group...
June 2016: Plastic and Reconstructive Surgery
Meysam Jahani, Mahdi Mahdavi
OBJECTIVES: This study develops neural network models to improve the prediction of diabetes using clinical and lifestyle characteristics. Prediction models were developed using a combination of approaches and concepts. METHODS: We used memetic algorithms to update weights and to improve prediction accuracy of models. In the first step, the optimum amount for neural network parameters such as momentum rate, transfer function, and error function were obtained through trial and error and based on the results of previous studies...
April 2016: Healthcare Informatics Research
Erhun Giray Tuncay, Tolga Can
This study focuses on improving the multi-objective memetic algorithm for protein-protein interaction (PPI) network alignment, Optimizing Network Aligner - OptNetAlign, via integration with other existing network alignment methods such as SPINAL, NETAL and HubAlign. The output of this algorithm is an elite set of aligned networks all of which are optimal with respect to multiple user-defined criteria. However, OptNetAlign is an unsupervised genetic algorithm that initiates its search with completely random solutions and it requires substantial running times to generate an elite set of solutions that have high scores with respect to the given criteria...
August 2016: Computational Biology and Chemistry
Ramazan Uyar, Cezmi Cagri Turk, Nejat Isik, Mufit Kalelioglu, Filiz Onat, Memet Ozek
AIM: Vagal nerve stimulation (VNS) is an effective method of treatment for epilepsy patients either unresponsive to medical therapy or not suitable for resective surgeries. We designed an experimental study on Wistar Albino Glaxo rats from Rijswijk (WAGRij) to investigate the effects of VNS on a non-convulsive epilepsy model. MATERIAL AND METHODS: The experiment was performed on six WAG/Rij rats, a validated strain for genetic absence seizures. The animals were underwent VNS and the effects were investigated on electroencephalography (EEG) recordings at 22, 24, 26 hours of stimulation and 15 days after the cessation, for duration of spike and wave complexes (SWC), the numbers, mean duration of SWC and frequencies in an hour...
2016: Turkish Neurosurgery
Murat Karkucak, Memet Kurt, Levent Özçakar
No abstract text is available yet for this article.
October 2016: American Journal of Physical Medicine & Rehabilitation
Bráulio Fonseca Carneiro de Albuquerque, Fabiano Luis de Sousa, Amauri Silva Montes
An innovative method for the automatic design of optical systems is presented and verified. The proposed method is based on a multi-objective evolutionary memetic optimization algorithm. The multi-objective approach simultaneously, but separately, addresses the image quality, tolerance, and complexity of the system. The memetic technique breaks down the search for optical designs in to three different parts or phases: optical glass selection, exploration, and exploitation. The optical glass selection phase defines the most appropriate set of glasses for the system under design...
March 21, 2016: Optics Express
Jan Hering, Ivo Wolf, Klaus Maier-Hein
Effective image-based artifact correction is an essential step in the analysis of diffusion MR images. Many current approaches are based on retrospective registration, which becomes challenging in the realm of high b-values and low signal-to-noise ratio, rendering the corresponding correction schemes more and more ineffective. We propose a novel registration scheme based on memetic search optimization that allows for simultaneous exploitation of different signal intensity relationships between the images, leading to more robust registration results...
April 21, 2016: IEEE Transactions on Medical Imaging
Ihsen Farah, Thi Nguyet Que Nguyen, Audrey Groh, Dominique Guenot, Pierre Jeannesson, Cyril Gobinet
The coupling between Fourier-transform infrared (FTIR) imaging and unsupervised classification is effective in revealing the different structures of human tissues based on their specific biomolecular IR signatures; thus the spectral histology of the studied samples is achieved. However, the most widely applied clustering methods in spectral histology are local search algorithms, which converge to a local optimum, depending on initialization. Multiple runs of the techniques estimate multiple different solutions...
May 23, 2016: Analyst
J Rydzewski, W Nowak
In this work we propose an application of a nonlinear dimensionality reduction method to represent the high-dimensional configuration space of the ligand-protein dissociation process in a manner facilitating interpretation. Rugged ligand expulsion paths are mapped into 2-dimensional space. The mapping retains the main structural changes occurring during the dissociation. The topological similarity of the reduced paths may be easily studied using the Fréchet distances, and we show that this measure facilitates machine learning classification of the diffusion pathways...
April 12, 2016: Journal of Chemical Theory and Computation
Susan Blackmore
In their analysis, Norenzayan et al. completely ignore memetics, which, unlike other theories, treats memes as replicators and looks to memetic as well as genetic advantage. Now that memes are evolving ever faster, genetic advantage is less relevant. So when religious and secular values are at odds, we need a memetic analysis to understand what is going on.
January 2016: Behavioral and Brain Sciences
Mario Garza-Fabre, Shaun M Kandathil, Julia Handl, Joshua Knowles, Simon C Lovell
Computational approaches to de novo protein tertiary structure prediction, including those based on the preeminent 'fragment-assembly' technique, have failed to scale up fully to larger proteins (of the order of 100 residues and above). A number of limiting factors are thought to contribute to the scaling problem over and above the simple combinatorial explosion, but the key ones relate to the lack of exploration of properly diverse protein folds, and an acute form of 'deception' in the energy function whereby low-energy conformations do not reliably equate with native structures...
February 23, 2016: Evolutionary Computation
Chanife Memet, Demet Menekse Gerede, Metin Ozenci, Irem Muge Akbulut, Aynur Acibuca, Mustafa Kiliçkap, Cetin Erol
BACKGROUND AND AIM OF THE STUDY: Calcific and degenerative aortic diseases (CDADs) are a group of disorders that mostly affect the elderly population and may progress and warrant aortic valve replacement. It is believed that oxidative stress plays a role in the progression of the diseases. Several markers of oxidative stress were evaluated in a small cohort of patients with CDADs, and a control group with similar characteristics. METHODS: Thirty patients with aortic stenosis (AS) and 30 healthy subjects were included in the study...
July 2015: Journal of Heart Valve Disease
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