The Effects of Dora the Explorer on Preschool Children's Spatial Concept Acquisition and Spatial Ability

The purpose of this research is to investigate the effects of Dora the Explorer cartoon on the spatial concept acquisitions and spatial abilities of the preschool children. The study was carried out with 80, 60-71 month old children attending preschools. Post-test only control group model is used in the research in order to identify the existing phenomena in a controlled manner. “The Bracken Basic Concept Scale, Third Edition: Receptive (BBCSIII:R) Form Direction/Position Subscale” and two different “Spatial Ability Games” were used to assess children’s spatial concept acquisitions and spatial abilities. Independent sample t-test was used in order to compare the average of post-test scores of the children in the experimental and control groups. According to the findings, it is found that there is meaningful difference between scores of post-tests of direction/position subscale and spatial ability games score. Comparing the scores of post-test of direction/position subscale and spatial ability games of experimental and control groups, it was found that there was a meaningful differentiation in favor of experimental group

Privatization processes as ideological moments: The block sales of large-scale state enterprises in Turkey in the 2000s

In the process of neoliberal transformation in Turkey, what differentiated the 2000s from the previous two decades were the block sale privatizations of large-scale state enterprises such as PETKİM, Türk Telekom, TÜPRAŞ, and ERDEMİR. These block sales, the conditions of which were shaped by political struggles at different levels, were also constitutive political and ideological moments per se, helping to reproduce a particular perception of social reality at the expense of others. This paper will overview and critically problematize the privatization processes of these four enterprises, all completed under the successive AKP governments in power since 2002. By focusing on the apparently technical and economic aspects of the block-sale processes, such as valuation, efficiency enhancement and marketing, the paper calls into question the increased concerns over their transparency, and wonders whether such concerns can be understood as attempts to mask the substantially corrupt nature of capitalist relations of production, which inescapably makes itself felt during these processe

Preučevanje posredniške vloge altruizma glede na empatična nagnjenja, povezanost z naravo in okoljsko zavedanje

A study was conducted using a correlational screening model to determine the mediating effect of altruism in the relationship between empathic tendencies, the nature relatedness and environmental consciousness. The participants of the study, selected via random cluster sampling design, are composed of 305 pre-school teachers working in pre-schools and kindergartens in a city located in Turkey’s Aegean region. The ‘Empathic Tendency Scale’, ‘Altruism Scale’, ‘Nature Relatedness Scale’, and ‘Environmental Consciousness Scale’ were used as data collection tools. The analyses of the sub-purposes were carried out using the PROCESS macro (Model 4) developed by Andrew Hayes using the SPSS infrastructure. When the study results were examined, the indirect effects of the empathic tendency on nature relatedness and environmental consciousness were found to be significant. Thus, altruism was the mediator for the relationship between the empathic tendency and nature relatedness (β=.13, 95% BCA CI [.08; .19]) and for the relationship between emphatic tendency and environmental consciousness (β=.36, %95 BCA CI [.18;.57]). (DIPF/Orig.

Etkinlik kitaplarının besin ve beslenme ile ilgili kazanımlar ve öğrenme süreçleri açısından değerlendirilmesi

This research was carried out to evaluate the activities in the Ministry of National Education Preschool Education Program Activity Book and Digital Education Platform Educational Information Network Teachers’ Preschool Activity Book, in terms of outcomes, indicators and learning processes related to food and nutrition. In this research, document review method, which is one of the qualitative research methods, was utilized. The resources, on which the research will be carried out, were determined by one of the purposeful sampling methods; the criterion sampling method. The data were analyzed using descriptive analysis method. The documents discussed in the research have been scanned for learning outcomes related to food and nutrition and healthy nutrition with its indicators, nutrients, food groups, where food comes from, importance of eating various foods, benefits of foods. As a result of the research, it has been determined that there are no learning outcomes related to food and nutrition concepts in the activities and that no references have been made to food and nutrition concepts in learning processes in the Activity Book of Preschool Education Program. However, in the activities included in the Digital Education Platform Educational Information Network Teachers' Preschool Activity Book, not only learning outcomes related to food and nutrition were discussed, but also food and nutrition concepts were addressed in the learning processes. The results are presented in tables, and suggestions were made at the end of the paper.Bu araştırma Millî Eğitim Bakanlığı Okul Öncesi Eğitim Programı Etkinlik Kitabı ve Dijital Eğitim Platformu Eğitim Bilişim Ağı Öğretmenler için Okul Öncesi Etkinlik Kitabı içerisindeki etkinliklerin besin ve beslenme ile ilgili kazanım, gösterge ve öğrenme süreçleri açısından değerlendirilmesi amacıyla gerçekleştirilmiştir. Araştırmada nitel araştırma yöntemlerinden doküman incelemesi yöntemi kullanılmıştır. Araştırmanın yapılacağı kaynaklar amaçlı örnekleme yöntemlerinden ölçüt örnekleme yöntemi ile belirlenmiştir. Veriler betimsel analiz yöntemi kullanılarak analiz edilmiştir. Araştırmada ele alınan dokümanlar besin ve beslenme ile ilgili kazanımlar ve göstergeleriyle birlikte sağlıklı beslenme, besinler, besin grupları, besinlerin nereden geldiği, çeşitli besinlerden yemenin önemi, besinlerin faydaları kelimeleriyle de taranmıştır. Araştırmanın sonucunda, Okul Öncesi Eğitim Programı Etkinlik Kitabı’nda yer verilen etkinliklerde besin ve beslenme kavramları ile ilişkili kazanımların bulunmadığı aynı zamanda öğrenme süreçlerinde de besin ve beslenme kavramlarına yer verilmediği tespit edilmiştir. Dijital Eğitim Platformu Eğitim Bilişim Ağı Öğretmenler için Okul Öncesi Etkinlik Kitabı içerisinde yer verilen etkinliklerde ise, hem besin ve beslenme ile ilişkili kazanımların ele alındığı hem de öğrenme süreçlerinde besin ve beslenme kavramlarına yer verildiği bulunmuştur. Elde edilen bulgular tablolar halinde sunulmuş, araştırmanın sonunda konuyla ilgili önerilerde bulunulmuştur

I see EK: A lightweight technique to reveal exploit kit family by overall URL patterns of infection chains

The prevalence and nonstop evolving technical sophistication of exploit kits (EKs) is one of the most challenging shifts in the modern cybercrime landscape. Over the last few years, malware infections via drive-by download attacks have been orchestrated with EK infrastructures. Malicious advertisements and compromised websites redirect victim browsers to web-based EK families that are assembled to exploit client-side vulnerabilities and finally deliver evil payloads. A key observation is that while the webpage contents have drastic differences between distinct intrusions executed through the same EK, the patterns in URL addresses stay similar. This is due to the fact that autogenerated URLs by EK platforms follow specific templates. This practice in use enables the development of an efficient system that is capable of classifying the responsible EK instances. This paper proposes novel URL features and a new technique to quickly categorize EK families with high accuracy using machine learning algorithms. Rather than analyzing each URL individually, the proposed overall URL patterns approach examines all URLs associated with an EK infection automatically. The method has been evaluated with a popular and publicly available dataset that contains 240 different real-world infection cases involving over 2250 URLs, the incidents being linked with the 4 major EK flavors that occurred throughout the year 2016. The system achieves up to 100% classification accuracy with the tested estimators

Evolutionary Multiobjective Feature Selection for Sentiment Analysis

AuthorSentiment analysis is one of the prominent research areas in data mining and knowledge discovery, which has proven to be an effective technique for monitoring public opinion. The big data era with a high volume of data generated by a variety of sources has provided enhanced opportunities for utilizing sentiment analysis in various domains. In order to take best advantage of the high volume of data for accurate sentiment analysis, it is essential to clean the data before the analysis, as irrelevant or redundant data will hinder extracting valuable information. In this paper, we propose a hybrid feature selection algorithm to improve the performance of sentiment analysis tasks. Our proposed sentiment analysis approach builds a binary classification model based on two feature selection techniques: an entropy-based metric and an evolutionary algorithm. We have performed comprehensive experiments in two different domains using a benchmark dataset, Stanford Sentiment Treebank, and a real-world dataset we have created based on World Health Organization (WHO) public speeches regarding COVID-19. The proposed feature selection model is shown to achieve significant performance improvements in both datasets, increasing classification accuracy for all utilized machine learning and text representation technique combinations. Moreover, it achieves over 70% reduction in feature size, which provides efficiency in computation time and space

EPICS: A Framework for Enforcing Security Policies in Composite Web Services

With advances in cloud computing and the emergence of service marketplaces, the popularity of composite services marks a paradigm shift from single-domain monolithic systems to cross-domain distributed services, which raises important privacy and security concerns. Access control becomes a challenge in such systems because authentication, authorization and data disclosure may take place across endpoints that are not known to clients. The clients lack options for specifying policies to control the sharing of their data and have to rely on service providers which offer limited selection of security and privacy preferences. This lack of awareness and loss of control over data sharing increases threats to a client's data and diminishes trust in these systems. We propose EPICS, an efficient and effective solution for enforcing security policies in composite Web services that protects data privacy throughout the service interaction lifecycle. The solution ensures that the data are distributed along with the client policies that dictate data access and an execution monitor that controls data disclosure. It empowers data owners with control of data disclosure decisions during interactions with remote services and reduces the risk of unauthorized access. The paper presents the design, implementation, and evaluation of the EPICS framework

Evaluation of mood disorder questionnaire positivity and associated factors in a population-based screening study

The Mood Disorders Questionnaire (MDQ) is a 3-item scale that is frequently used in bipolar disorders (BD) screening and questions the symptoms of BD, its effect on functionality, and the coexistence of symptoms. The aim of this study is to evaluate the prevalence of positive screening of the MDQ among general population and to investigate the associated risk factors. In this cross-sectional study, the sample was randomly selected from household data to represent the city population. A total of 432 participants were asked to fill in MDQ, CAGE (cutting down, annoyance by criticism, guilty feeling, and eye-openers) questionnaire, which consists of four clinical interview questions proven to aid in the diagnosis of alcoholism, and clinical and sociodemographic data form. The Cronbach’s alpha value of our current study was 0.813 for MDQ. The prevalence of MDQ positivity was found 7.6%. The estimated prevalence rate of bipolar disorders varied between 0.3 and 13.4% according to different cut-off values. Multivariate logistic regression models showed that the presence of possible alcohol addiction, shift work history, and body mass index (BMI) were statistically significant predictors of MDQ positivity. The prevalence of MDQ positivity found is similar to studies in literature. Keeping in mind that psychometric properties of the MDQ, positive screen results should be cautiously interpreted due to the presence of other risk factors and comorbidities

Eğitsel Oyun Temelli Dinlediğini Anlama Etkinliklerinin 4. Sınıf Öğrencilerinin Dinlediğini Anlama Becerisi Üzerindeki Etkisi

DergiPark: 727384tredBu çalışmada, eğitsel oyun temelli dinleme etkinliklerinin, ilkokul dördüncü sınıf öğrencilerinin dinlediğini anlama başarısı üzerindeki etkisini belirlemek amaçlanmıştır. Çalışmanın evrenini, 2018-2019 eğitim-öğretim yılının ikinci döneminde Ordu İli Gölköy İlçesindeki bir ilkokulda, 4 farklı şubede öğrenim gören 97 kişilik 4. sınıf öğrencileri oluşturmaktadır. Çalışmada öğrencilerden veri toplamak amacıyla Bulut (2013) tarafından geliştirilen Dinlediğini Anlama Testi (DAT) kullanılmıştır. Araştırmada ön test-son test kontrol gruplu yarı deneysel yöntem kullanılmış, ön testin ardından deney grubundaki öğrencilere, her hafta bir ders saati olacak şekilde 9 ders saati boyunca eğitsel oyun temelli dinleme eğitimi verilmiştir. Deneysel çalışmaların ardından gruplara son test uygulanmış, deney ve kontrol gruplarının dinlediğini anlama başarı düzeyleri arasında anlamlı fark olup olmadığı incelenmiştir. Elde edilen bulgulara göre deney-kontrol gruplarının dinlediğini anlama başarı düzeyleri arasında anlamlı bir fark bulunmamıştır ancak deney grubunun ön test ve son test sonuçları arasında anlamlı bir farklılık olduğu tespit edilmiştir