Website Phishing Technique Classification Detection with HSSJAYA Based MLP Training

Website phishing technique is the process of stealing personal information (ID number, social media account information, credit card information etc.) of target users through fake websites that are similar to reality by users who do not have good intentions. There are multiple methods in detecting website phishing technique and one of them is multilayer perceptron (MLP), a type of artificial neural networks. The MLP occurs with at least three layers, the input, at least one hidden layer and the output. Data on the network must be trained by passing over neurons. There are multiple techniques in training the network, one of which is training with metaheuristic algorithms. Metaheuristic algorithms that aim to develop more effective hybrid algorithms by combining the good and successful aspects of more than one algorithm are algorithms inspired by nature. In this study, MLP was trained with Hybrid Salp Swarm Jaya (HSSJAYA) and used to determine whether websites are suspicious, phishing or legal. In order to compare the success of MLP trained with hybrid algorithm, Salp Swarm Algorithm (SSA) and Jaya (JAYA) were compared with MLPs trained with Cuckoo Algorithm (CS), Genetic Algorithm (GA) and Firefly Algorithm (FFA). As a result of the experimental and statistical analysis, it was determined that the MLP trained with HSSJAYA was successful in detecting the website phishing technique according to the results of other algorithms

Yönetim Araştırmalarında Ölçek Kullanımı

Yönetim araştırmalarında ölçek kullanımı ile ilgili genel-geçer bir çerçeve sunmayı amaçlayan bu çalışmada, aynı zamanda Türk yönetim yazınında son on yılda ölçek kullanılan makaleler de incelenerek bir durum değerlendirmesi yapılmıştır. Bu konuda on yıl önce çalışmanın yazarı tarafından yapılan benzer bir çalışma ile karşılaştırmalı olarak sunulan bulgular, kısmi bazı gelişmelere işaret etse de temel bazı eksikliklerin halen devam ettiğini göstermektedir. Özgün ölçek geliştirme veya daha önce Türkiye bağlamı için geçerlenmiş ölçekleri kullanma yerine ağırlıklı olarak yabancı ölçeklerin tercih edilmesi, bu ölçeklerin doğru geçerleme prosedürleri uygulanmadan tercüme edilerek kullanılması gibi bulgular bunların en önemlileridir. Çalışmada söz konusu sorunların olası nedenleri tartışılarak kimi çözüm önerileri de sunulmaktadır. In this study, which aims to present a general framework regarding the use of scales in management research, the articles that used scale in the last decade in Turkish management literature were also examined accordingly. Although the findings presented in comparison with a similar study conducted by the author of the study ten years ago indicate partial improvements, it is seen that some basic problems persist such as preferring mostly translated scales instead of developing authentic ones or using the scales previously validated for Turkish context and using these scales without following proper validation procedures. The study also discusses the possible causes of these problems and suggests some solutions

A deep learning approach for motion segment estimation for pipe leak detection robot

The trajectory motion of a robot can be a valuable information to estimate the localization of an autonomous robotic system, especially in a very dynamic but structurally-known environments like water pipes where the sensor readings are not reliable. The main focus of this research is to estimate the location of meso-scale robots using a deep-learning-based motion trajectory segment detection system from recorded sensory measurements while the robot travels through a pipe system. The idea is based on the classification of the motion measurements, acquired by inertial measurement unit (IMU), by exploiting the deep learning approach. Proposed idea and utilized methodology are explained in the related sections and it is observed that convolutional neural network approach is quite powerful to overcome the unreliability of IMU data

EMG Based Trajectory Control of Hand Exoskeleton

In this project, we have designed and controlled the hand rehabilitation exoskeleton robot with a smart algorithm for active and passive rehabilitation processes

The effect of Sertraline, Paroxetine, Fluoxetine and Escitalopram on testicular tissue and oxidative stress parameters in rats

Introduction: The aim of this study was to evaluate the effect of selective serotonin reuptake inhibitors (SSRIs) on testicular tissue and serum malondialdehyde (MDA) levels in rats. Materials and methods: A total of 40 male Wistar albino rats, 5.5-6 months old, were equally divided at random into five groups: group 1 was the control group, group 2 received sertraline 10mg/kg (p.o), group 3 was administered fluoxetine 10mg/kg (p.o), group 4 received escitalopram 10mg/kg (p.o), and group 5 (n = 8) was administered paroxetine 20mg/kg. Each dose was administered orally for two months. Johnsen&#8217;s criteria were used to categorize spermatogenesis. Johnsen&#8217;s method assigns a score of 1 to 10 to each tubule cross-section examined. In this system, a Johnsen score of 9 and 10 indicates normal histology. Serum luteinizing hormone (LH), follicle-stimulating hormone (FSH), and testosterone levels were evaluated. Serum MDA levels were also measured. Results: The mean Johnsen scores were 9.36 &#177; 0.33, 9.29 &#177; 0.32, 8.86 &#177; 0.48, 9.10 &#177; 0.56, and 8.33 &#177; 0.90 in control group, sertraline group, fluoxetine group, escitalopram group, and paroxetine group, respectively. The Johnsen score was significantly lower for paroxetine group compared with the control group (p < 0.05). The mean FSH level increased only in the sertraline group. With the exception of the fluoxetine group, the testosterone levels were lower in all groups compared with the control group. The total testosterone level was significantly lower in the sertraline group compared with the control group [40.87 (22.37-46.8) vs. 15.87 (13.53-19.88), p < 0.01]. There were no significant differences between the groups with respect to the MDA and LH levels (p = 0.090 and p = 0.092). Conclusion: These data suggest that SSRIs have a negative effect on testicular tissues. This negative impact is markedly greater in the paroxetine group. To determine the exact mechanism of action of these drugs on testicular tissue, well-designed randomized controlled clinical studies are needed on a larger population

Shear bond strength of a new self-adhering flowable composite resin for lithium disilicate-reinforced CAD/CAM ceramic material.

PURPOSE. The purpose of this study was to evaluate and compare the effects of different surface pretreatment techniques on the surface roughness and shear bond strength of a new self-adhering flowable composite resin for use with lithium disilicate-reinforced CAD/CAM ceramic material. MATERIALS AND METHODS. A total of-one hundred thirty lithium disilicate CAD/CAM ceramic plates with dimensions of 6 mm x 4 mm and 3 mm thick were prepared. Specimens were then assigned into five groups (n=26) as follows: untreated control, coating with 30 mu m silica oxide particles (Cojet (TM) Sand), 9.6% hydrofluoric acid etching, Er:YAG laser irradiation, and grinding with a high-speed fine diamond bur. A self-adhering flowable composite resin (Vertise Flow) was applied onto the pre-treated ceramic plates using the Ultradent shear bond Teflon mold system. Surface roughness was measured by atomic force microscopy. Shear bond strength test were performed using a universal testing machine at a crosshead speed of 1 mm/min. Surface roughness data were analyzed by one-way ANOVA and the Tukey HSD tests. Shear bond strength test values were analyzed by Kruskal-Wallis and Mann-Whitney U tests at alpha=.05. RESULTS. Hydrofluoric acid etching and grinding with high-speed fine diamond bur produced significantly higher surface roughness than the other pretreatment groups (P<.05). Hydrofluoric acid etching and silica coating yielded the highest shear bond strength values (P<.001). CONCLUSION. Self-adhering flowable composite resin used as repair composite resin exhibited very low bond strength irrespective of the surface pretreatments used

Poikiloderma with Neutropenia: Genotype-Ethnic Origin Correlation, Expanding Phenotype and Literature Review

Poikiloderma with neutropenia (PN), is a rare genodermatosis associated with patognomic features of poikiloderma and permanent neutropenia. Three common recurrent mutations of related gene, USB1, were considered to be associated with three different ethnic origins. The most common recurrent mutation, c.531delA, has been detected in seven Caucasian patients in the literature. In this paper, we present review of all patients from the literature and report two additional patients of Turkish ancestry with the diagnosis of PN. The diagnosis of these two PN patients were made clinically and confirmed by molecular analysis which detected the most common recurrent mutation, c.531delA. Genotype-ethnic origin correlation hypothesis, therefore, has been strengthened with this result. Short stature in PN, is a common finding, which until now has never been treated with growth hormone (GH). One of our patients is the first patient with attempted treatment of short stature via GH administration. Finally, both of our patients had high-pitched voice and vocal cord nodules which might be considered as additional clinical findings not associated with PN before. (C) 2014 Wiley Periodicals, Inc