Class Teacher Candidates’ Opinions on Genetically Modified Organisms (GMO)

This study was conducted to determine the Class teacher candidates’ opinions on Genetically Modified Organisms. The study was carried out with 101 teacher candidates who were studying in the 3rd grade of Ağrı İbrahim Çeçen University Classroom Teacher Department in 2016-2017 academic year. Of the students who participated in the survey, 56 were girls and 45 were males. Six open-ended questionnaires were used as data collection tools in the survey. In the study, students' opinions on genetically modified organisms were analyzed contextually. Analysis was carried out by calculating the percentage and frequency on the designated categories for each question. In the study, it was concluded that the prospective teachers had knowledge about GMO concept and their usage areas, but did not know about their harmful effects especially to the environment. It has also been determined that classroom teacher candidates have no knowledge of the GMO cultivating and legal arrangements for importing them into the country. How more effective the socio-scientific issues in education faculties is among the recommandations of this study. Keywords: GMO, Class teacher candidates’ opinion

Vectorization of Large Amounts of Raster Satellite Images in a Distributed Architecture Using HIPI

Vectorization process focus on grouping pixels of a raster image into raw line segments, and forming lines, polylines or poligons. To vectorize massive raster images regarding resource and performane problems, weuse a distributed HIPI image processing interface based on MapReduce approach. Apache Hadoop is placed at the core of the framework. To realize such a system, we first define mapper function, and then its input and output formats. In this paper, mappers convert raster mosaics into vector counterparts. Reduc functions are not needed for vectorization. Vector representations of raster images is expected to give better performance in distributed computations by reducing the negative effects of bandwidth problem and horizontal scalability analysis is done.Comment: In Turkish, Proceedings of International Artificial Intelligence and Data Processing Symposium (IDAP) 201

DIFET: Distributed Feature Extraction Tool For High Spatial Resolution Remote Sensing Images

In this paper, we propose distributed feature extraction tool from high spatial resolution remote sensing images. Tool is based on Apache Hadoop framework and Hadoop Image Processing Interface. Two corner detection (Harris and Shi-Tomasi) algorithms and five feature descriptors (SIFT, SURF, FAST, BRIEF, and ORB) are considered. Robustness of the tool in the task of feature extraction from LandSat-8 imageries are evaluated in terms of horizontal scalability.Comment: Presented at 4th International GeoAdvances Worksho

Hierarchical Ensemble-Based Feature Selection for Time Series Forecasting

We study a novel ensemble approach for feature selection based on hierarchical stacking in cases of non-stationarity and limited number of samples with large number of features. Our approach exploits the co-dependency between features using a hierarchical structure. Initially, a machine learning model is trained using a subset of features, and then the model's output is updated using another algorithm with the remaining features to minimize the target loss. This hierarchical structure allows for flexible depth and feature selection. By exploiting feature co-dependency hierarchically, our proposed approach overcomes the limitations of traditional feature selection methods and feature importance scores. The effectiveness of the approach is demonstrated on synthetic and real-life datasets, indicating improved performance with scalability and stability compared to the traditional methods and state-of-the-art approaches

Sixth, seventh and eighth year students' knowledge levels about greenhouse effect, ozone layer and acid rain

The aim of this study is to investigate second stage primary school (6th, 7th and 8th year) students’ knowledge levels about three important environmental topics, namely, the greenhouse effect, the ozone layer and acid rain. The study was carried out with 204 6th, 7th and 8th year students (11-14 year olds) in Turkey. A 25- item scale developed by Khalid (1999) was used as a data collection instrument. The instrument was adapted to the Turkish language and culture, was validated and its reliability co-efficiency was determined. The results of the study showed that 6th, 7th and 8th year students have a very low level of knowledge about the greenhouse effect, the ozone layer and acid rain. The results of this study can be used by experts of environmental education to focus on starting the teaching of environmental topics – like greenhouse effect, ozone layer and acid rain – thoroughly from the primary school to develop more environmentally sensitive citizens.peer-reviewe

Single Incision Laparoscopic Cholecystectomy by Using a 2 mm Atraumatic Grasper without Trocar

Purpose. We present our experience in single incision laparoscopic cholecystectomy by using a grasper directly without using a trocar in five patients. Methods and Results. The technique involves the use of Karl Storz 27290F grasper in order to perform gallbladder retraction in single port cholecystectomy. The grasper was introduced directly into the skin through abdominal wall without using any trocar and used to mobilize gallbladder whenever needed during surgery without causing any perforation or leakage of the gallbladder. There were no intraoperative and postoperative complications in 5 patients with the advantages of shorter operation time and almost invisible postoperative skin scar formation. Conclusion. We claim that the use of this instrument in SILS surgery might be advantageous than the conventional placement of sutures for the gallbladder mobilization

A comparison of the prevalence of orthostatic hypotension between older patients with Alzheimer's Disease, Lewy body dementia, and without dementia

Orthostatic hypotension (OH) is reported to be more prevalent particularly in patients with Dementia with Lewy bodies (DLB) because of the autonomic dysfunction, but prevalence of OH is not known in patients with Alzheimer Disease (AD). The aim of the present study was to determine whether OH can be used to distinguish DLB from AD. 38 patients with DLB, 88 patients with AD and 521 patients without dementia, underwent Comprehensive Geriatric Assessment. OH were evaluated for the 1st (OH1) and 3rd (OH3) minutes, taking the data in supine position as the basis, by Head-Up-Tilt Test. Prevalence of OH1 was 43.2% in AD, 44.7% in DLB and 17.9% in patients without dementia, and OH3 was 44.3% in AD, 47.4% in DLB and 17.9% in non-dementia group. The frequency of OH1 and OH3 was higher in the AD and DLB groups than in the patients without dementia (p0.05). The percentage of asymptomatic patients with OH was 87.2% and 89.6% during 1st and 3rd minutes, respectively, and this percentage was similar in three groups (p>0.05, for each). There was no significant difference between the two dementia groups in terms of comorbidities, drugs and laboratory values (p>0.05). OH is more prevalent in patients with AD than controls and similar levels are observed in those with DLB. The prevalence of OH equally is greater with DLB or AD disease progression. Clinicians should be aware of OH and its related consequences in the management of the AD in older adults

Potentiometric titrations of some mono methyl substituted and 5-keto mono methyl substituted hexadecanoic acids in nonaqueous media

1300-130

Simplified Earthquake Analysis of Suspensi

This paper presents the finite element analysis of a suspension bridge subjected to earthquake ground motion using simplified models. For this purpose, two simplified models are considered. It is assumed that each element compose of the deck, cable and hangers in the first model. As second model, the elastic foundation analogy method is used. Also, actual bridge model is selected. Finite element earthquake analyses of the simplified and real bridge models are performed. One of the world's longest modern type suspension bridges, Fatih Sultan Mehmet Bridge, is selected as a numerical example. As ground motions, Kocaeli earthquake occurred on August 17, 1999 in Kocaeli, Turkey is chosen since it took place at the vicinity of the bridge. The response values obtained from simplified and actual bridge models are compared with each other

Value of Caffeic Acid Phenethyl Ester Pretreatment in Experimental Sepsis Model in Rats

Background and Aim. The aim of this study was to determine the actions of caffeic acid phenethyl ester (CAPE) on the changes of endothelin-1 (ET-1) level, tumor necrosis factor- (TNF-) alpha, and oxidative stress parameters such as superoxide dismutase (SOD) activities and malondialdehyde (MDA) levels in experimental sepsis model in rats. Materials and Methods. Twenty-four rats were randomly divided into three experimental groups: sham (group 1), sepsis (group 2), and sepsis + CAPE (group 3), n = 8 each. CAPE was administered (10 µmol/kg) intraperitoneally to group 3 before sepsis induction. Serum ET-1, serum TNF-alpha, tissue SOD activity, and tissue MDA levels were measured in all groups. Results. Pretreatment with CAPE decreased ET-1, TNF-alpha, and MDA levels in sepsis induced rats. Additionally SOD activities were higher in rats pretreated with CAPE after sepsis induction. Conclusion. Our results demonstrate that CAPE may have a beneficial effect on ET and TNF-alpha levels and oxidative stress parameters induced by sepsis in experimental rat models. Therefore treatment with CAPE can be used to avoid devastating effects of sepsis