THE EFFECTS OF INTERACTIVE BOARD APPLICATIONS SUPPORTED BY COMPUTER SIMULATIONS ON PRE-SERVICE SCIENCES TEACHERS’ SELF-REGULATED LEARNING

The purpose of this study is to investigate the effects of interactive boards applications supported by computer simulations on pre-service science teachers’ self-regulated learning. Quasi-experimental research with pre test/ post test control group design was used in the study. Pre-service science teachers in Siirt University, education faculty, science education department, constructed study group. Sections was randomly assigned experimental and control groups. In experimental group 32 pre-service science teachers (11 male; 21 female), in control group 33 pre-service science teachers (13 male; 20 female) were assigned to the groups. In total, 65 pre-service science teachers participated to the study. "Motivated strategies for learning questionnaire” was applied as the data collection tool. The questionnaire was translated into Turkish by Büyüköztürk and et.al. (2004). During the analysis in this respect, arithmetic averages, standard deviation, independent sampling t-test and analysis of covariance (ANCOVA) were used. The study compared the pre-test and post test scores of the science teacher candidates in the experiment and control group with SPSS 16.0 statistical package software.  Article visualizations

Standart ve SOLO Taksonomisine Dayalı Rubrikler ile Puanlanan Açık Uçlu Matematik Sorularında Puanlayıcı Katılığı ve Cömertliğinin İncelenmesi

This study uses the many-facet Rasch model to analyze the severity and leniency of raters of open-ended mathematic questions rated through standard rubrics and rubrics based on the SOLO taxonomy. The data source of the study was obtained from 104 eight grade students based on their responses to open-ended questions on mathematics-achievement test that was created by the researchers. The study’s participants were seven mathematics teachers who serving as raters in the research. The data collection instruments involved standard rubrics and rubrics based on the SOLO taxonomy. The collection of the data was performed in a few phases. In the first phase, the mathematics achievement test, which included open-ended questions, was administered to the students and evaluated by the raters. Then, raters scored students' responses to the open-ended questions using standard rubrics. Next, the raters scored the responses using rubrics based on the SOLO taxonomy. The data thus acquired were analyzed using the many-facet Rasch model. The study found that the raters' agreement was low, and that there were significant differences between raters in terms of severity and leniency when they used standard rubrics. When the ratings were done with rubrics based on SOLO taxonomy, the raters were consistent and their scoring severity and leniency were similar to each other.Bu araştırmada, standart ve SOLO taksonomisine dayalı rubrikler ile puanlanan açık uçlu matematik sorularında puanlayıcı katılığı ve cömertliğinin çok yüzeyli Rasch modeli ile incelenmesi amaçlanmıştır. Çalışmanın veri kaynağını, sekizinci sınıfa devam eden 104 öğrencinin araştırmacılar tarafından geliştirilen matematik başarı testindeki açık uçlu sorulara verdiği cevaplar oluşturmuştur. Araştırmada puanlayıcı olarak görev alan yedi matematik öğretmeni ise çalışmanın katılımcıları olarak belirlenmiştir. Araştırma verilerinin toplanmasında, standart ve SOLO taksonomisine dayalı rubrikler kullanılmıştır. Verilerin toplanması birkaç aşamada gerçekleşmiştir. İlk aşamada açık uçlu sorulardan oluşan matematik başarı testi öğrencilere uygulanarak, puanlayıcıların değerlendirme yapacakları dokümanlar elde edilmiştir. Daha sonra puanlayıcılar, öğrencilerin açık uçlu matematik sorularına verdikleri cevapları standart rubrik kullanarak puanlamışlardır. Bu işlemin ardından SOLO taksonomisine dayalı rubrikler kullanılarak yapılan puanlamalara geçilmiştir. Açık uçlu matematik sorularına verilen cevapların standart ve SOLO taksonomisine dayalı rubrikler kullanılarak puanlanmasıyla elde edilen veriler çok yüzeyli Rasch modeline göre analiz edilmiştir. Araştırmada; standart rubrikler kullanılarak yapılan puanlamalarda; puanlayıcılar arası uyumun düşük olduğu ve katılık/cömertlikleri yönüyle puanlayıcılar arasında anlamlı fark bulunduğu belirlenmiştir. SOLO taksonomisine dayalı rubriklerden yararlanılarak yapılan puanlamalarda ise puanlayıcılar arası uyumun yüksek olduğu ve puanlayıcıların benzer katılık/cömertlikte puanlama yaptıkları saptanmıştır

Coupled nonparametric shape priors for segmentation of multiple basal ganglia structures

This paper presents a new method for multiple structure segmentation, using a maximum a posteriori (MAP) estimation framework, based on prior shape densities involving nonparametric multivariate kernel density estimation of multiple shapes. Our method is motivated by the observation that neighboring or coupling structures in medical images generate configurations and co-dependencies which could potentially aid in segmentation if properly exploited. Our technique allows simultaneous segmentation of multiple objects, where highly contrasted, easy-to-segment structures can help improve the segmentation of weakly contrasted objects. We demonstrate the effectiveness of our method on both synthetic images and real magnetic resonance images (MRI) for segmentation of basal ganglia structures

Uçucu kül ve cam atıklarından üretilen seramiklerin özelliklerine ZnO katkısının etkisinin incelenmesi

06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Bu çalışmada uçucu kül ve atık cam karışımlarından üretilen seramik malzemelere ZnO katkısının etkisi incelenmiştir. Ağırlıkça % 0, 5, 10 ve 20 oranlarında ZnO, uçucu kül ve atık cam karışımına ilave edilerek bileşimler hazırlanmıştır. Silindirik numuneler preslenerek şekillendirilmiş ve 900, 950, 1000 ve 1050 °C' de 2 saat süre ile sinterlenmiştir. Sinterlenmiş numunelerin pişme küçülmesi, bulk yoğunluğu, görünür gözenekliliği, su emmesi, donma, pamuklaşma özellikleri ve basma mukavemeti belirlenmiştir. Ayrıca X-ışını difraksiyonu (XRD) ve taramalı elektron mikroskobu (SEM) analizi ile de sinterlenen numuneler karakterize edilmiştir. Böylece ZnO katkısının uçucu kül ve atık cam tozu karışımlarından üretilen seramiklerin özelliklerine etkileri incelenmiştir.In this study, the effect of ZnO adition on ceramic materials produced from fly ash and waste glass mixtures was investigated. ZnO in the range of 0, 5, 10, 20 wt. % have been added into waste glass and fly ash mixture. Cylindrical specimens were shaped by pressing and were sintered at 900, 950, 1000 and 1050 °C for 2 h. Sintered specimens were exposed to the firing shrinkage, bulk density, apparent porosity and water absorption, freeze, efflorescence and compressive strength. Furthermore, the samples were also characterized by X-ray diffraction (XRD) and scanning electron microscope (SEM) analysis.Thus, the effects of ZnO addition on the properties of ceramics produced from fly ash and waste glass powder mixtures were investigated

Nitrobenzoik asit içeren bazı moleküllerin geometrik yapılarının, IR ve NMR spektroskopik özelliklerinin teorik olarak incelenmesi

06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Nitrobenzoik asit içeren bazı moleküllerin geometrik yapılarının, IR ve NMR spektroskopik özelliklerinin teorik olarak molekülünün geometrik ve spektroskopik yapısı incelenmiştir. Bu yapılar 2-chloro-5-nitrobenzoik asit, 3-chloro-2-nitrobenzoik asit, 4-chloro-2-nitrobenzoik asit, 5-chloro-2-nitrobenzoik asittir ve bu yapıların FT- IR spektrumları 4000-400cm-1 aralığında kaydedildi. Nitrobenzoik asit türevlerinin titreşim bandlarının işaretlemesi B3LYP/6-311++G(d,p) seviyesinde yoğunluk fonksiyoneli teorisi (DFT) kullanılarak yapıldı. Ölçeklendirilmiş hesaplanan dalga sayıları deneysel değerlerle çok iyi uyum gösterdi. Bu çalışmada nitrobenzoik asit içeren bazı moleküllerin yapısını teorik olarak belirlemek için GaussView moleküler programı yardımı ile üç boyutlu olarak çizildi. Bu çizimlerde moleküllerin en olası şekli çizilmiştir. Çizilen bu yapıların geometrik parametreleri Gaussian 05W paket programına otomatik olarak giriş verileri olarak girildi. Daha sonra bu parametreler HF ve bir DFT metodu olan B3LYP (Becke?nin üç parametreli melez fonksiyoneli ile bölgesel ve bölgesel olmayan terimler ihtiva eden Lee, Yang ve Parr korelasyon fonksiyoneli) yöntemleri kullanılarak optimize edildi. Anahtar Kelimeler: Nitrobenzoik Asit, DFT, HF, B3LYP/6-311++G(d,p), FT-IR, Elektronik spektroskopi, NMR, Kinolin, Geometrik yapıNitrobenzoic acid molecules including some of the geometric structures, IR and NMR spectroscopy and the spectroscopic characteristics of the theoretical geometrical structure of the molecule were examined. These structures are 2-chloro-5-nitrobenzoic acid, 3-chloro-2-nitrobenzoic acid, 4-chloro-2-nitrobenzoic acid, 5-chloro-2-nitrobenzoic acid and range of 4000-400cm-1 FT-IR spectrum of these structures were recorded. Nitrobenzoic acid derivatives of the vibrational bands mark the B3LYP/6-311++G (d, p) level of density functional theory (DFT) were used. Showed very good agreement with experimental values calculated scaled wavenumbers. In this study, theoretical nitrobenzoic acid as the structure of some of the molecules with the aid of software to determine the molecular propane molecules was drawn in three dimensions. This is the most probable shape of the molecules are drawn illustrations. Geometrical parameters of these structures are plotted in the Gaussian 05W package program is automatically entered in the input data. Later, these parameters with HF and DFT method B3LYP (three-parameter hybrid functional Becke's terms containing non-regional, regional and Lee, Yang and Parr correlation functional) methods were optimized using. Keywords: Nitrobenzoic Acid, DFT, HF, B3LYP/6-311++G (d,p), FT-IR, Electronic Spectroscopy, NMR, Quanoline Geometric Structure

Combining learning-based intensity distributions with nonparametric shape priors for image segmentation

Integration of shape prior information into level set formulations has led to great improvements in image segmentation in the presence of missing information, occlusion, and noise. However, most shape-based segmentation techniques incorporate image intensity through simplistic data terms. A common underlying assumption of such data terms is that the foreground and the background regions in the image are homogeneous, i.e., intensities are piecewise constant or piecewise smooth. This situation makes integration of shape priors inefficient in the presence of intensity inhomogeneities. In this paper, we propose a new approach for combining information from shape priors with that from image intensities. More specifically, our approach uses shape priors learned by nonparametric density estimation and incorporates image intensity distributions learned in a supervised manner. Such a combination has not been used in previous work. Sample image patches are used to learn the intensity distributions, and segmented training shapes are used to learn the shape priors. We present an active contour algorithm that takes these learned densities into account for image segmentation. Our experiments on synthetic and real images demonstrate the robustness of the proposed approach to complicated intensity distributions, and occlusions, as well as the improvements it provides over existing methods

Fragmented QRS predicted major adverse cardiovascular events in patients with coronary artery disease and percutaneous coronary intervention, 10-years of follow-up

Aim Identifying high-risk groups in patient with coronary artery disease (CAD) is critical for predicting future adverse events. fQRS has been shown to be related to major cardiovascular adverse events (MACE) in patients with CAD. However, predictive value of fQRS for more than 5 yrs has not been evaluated. This study examined the predictive value of fQRS in patients with CAD and percutaneous coronary intervention during a 10-yrs period. Material and methods Patients with CAD and percutaneous coronary intervention between March 2007 and May 2009 were included the study. An electrocardiogram was recorded following percutaneous coronary intervention and analyzed for the presence of fQRS. The fQRS pattern was defined as an additional spike inside the QRS complexes of at least two consecutive leads. Patients were followed for 10 yrs. A MACE was all-cause mortality or new-onset decompensated heart failure. Patients were divided into two groups according to presence or absence of MACE, and their clinical variables were compared. Results Of 1261 patients included in the study, MACE developed in 374 (29.6%). MACE (+) patients were older (p<0.001), more likely to have diabetes mellitus (p=0.003), fQRS (p<0.001), and ST-elevated myocardial infarction (STEMI) (p<0.001). Multivariable Cox regression analysis revealed that age (p<0.001), STEMI (p=0.001), fQRS (p=0.017), and elevated serum creatinine (p=0.001) were independent predictors of MACE. Conclusion The presence of fQRS predicted MACE during 10 yrs of follow-up of patients with CAD and percutaneous coronary intervention

Volumetric segmentation of multiple basal ganglia structures

We present a new active contour-based, statistical method for simultaneous volumetric segmentation of multiple subcortical structures in the brain. Neighboring anatomical structures in the human brain exhibit co-dependencies which can aid in segmentation, if properly analyzed and modeled. Motivated by this observation, we formulate the segmentation problem as a maximum a posteriori estimation problem, in which we incorporate statistical prior models on the shapes and inter-shape (relative) poses of the structures of interest. This provides a principled mechanism to bring high level information about the shapes and the relationships of anatomical structures into the segmentation problem. For learning the prior densities based on training data, we use a nonparametric multivariate kernel density estimation framework. We combine these priors with data in a variational framework, and develop an active contour-based iterative segmentation algorithm. We test our method on the problem of volumetric segmentation of basal ganglia structures in magnetic resonance (MR) images. We compare our technique with existing methods and demonstrate the improvements it provides in terms of segmentation accuracy

An evaluation of the oral reading fluency of 4th graders with respect to prosodic characteristic

This study examined the oral reading fluency of 4th graders with respect to prosodic characteristics. Seventy 4th graders participated in the study. They were initially asked to read a grade-level passage and their reading was video recorded. Their reading errors were identified and their word correct per minute (WCPM) was determined. Their oral reading skills were also evaluated with respect to prosodic characteristics by using the Multidimensional Fluency Scale criteria. The results showed that their WCPM was close to the norms of the 4th grade. However, a significant part of students (40%) were noted to have problems with prosodic reading skills. Further, a positive and meaningful relationship was observed between WCPM and prosodic reading skills. It was concluded that activities and studies promoting prosodic reading skills should be given more emphasis in primary schools