214 research outputs found
Türk Dili ve Anlatım 9. sınıf ders kitabı
No full text#nofulltext# --- Yelten, Muhammet (Arel Author)
Ibrahim el-Antaki's divan called Burhanul-Burhan-examination and verification
No full textDoktora TeziBu araştırma, Arap ve İslam kültür mirasına katkı sağlamak amacıyla, şair İbrahim el-Antaki'nin (H. 926-M. 1520) "Burhanu'l-Burhan" adlı divanının yazma nüshasını incelemektedir. Başka bir eseri bulunmayan ve çok tanınmayan yazarın bu eseri, araştırmacılar ve muhakkikler tarafından yeterince ele alınmamıştır. Yazarın şiirleri dönemin toplumsal yapısını, halk kültürünü, geleneklerini ve karakteristik özelliklerini yansıtmasına rağmen, eser uzun süre yazarına atfedilmemiştir. Divan, dönemin toplumsal entelektüel seviyesini ortaya koyması ve günümüz kültürüyle karşılaştırma imkânı sunması bakımından önem arz etmektedir. Araştırmada bilimsel inceleme ilkeleri ve tahkik kuralları çerçevesinde yazarın biyografisi, eserin yazara aidiyeti, divanın anlaşılmayan kasidelerinin ve aruz vezinlerinin tespiti, divandaki aruz, dil ve gramer hatalarının tashihi ile şiirlerdeki Beyan ve Bediî sanatlarının özellikleri incelenmiştir.This research examines the manuscript of the divan named "Burhanu'l-Burhan" by poet Ibrahim al-Antaki (H. 926-A.D. 1520) in order to contribute to the Arab and Islamic cultural heritage. This work of the author, who has no other works and is not very well known, has not been sufficiently studied by researchers and scholars. Although the author's poems reflect the social structure, folk culture, traditions and characteristic features of the period, the work has not been attributed to its author for a long time. The divan is important in terms of revealing the social intellectual level of the period and providing an opportunity for comparison with today's culture. In the research, the following issues were addressed within the framework of scientific examination principles and investigation rules: the author's biography, the work's belonging to the author, the detection of the divan's incomprehensible odes and aruz meters, the correction of aruz, language and grammar errors in the divan, and the characteristics of the arts of Beyan and Bediî in the poems were examined
Experimental and theoretical investigation of the fluid behavior during polymeric fiber formation with and without pressure
Full text linkThe fabrication of polymeric micro/nanofibers is gaining attention due to their use in an array of applications including tissue engineering scaffolds, nanosensors, and fiber-reinforced composites. Despite their versatile nature, polymeric fibers are widely underutilized due to the lack of reliable, large-scale production techniques. Upon the discovery of centrifugal spinning and, recently, pressurized gyration techniques, new research directions have emerged. Here, we report a comprehensive study detailing the optimal conditions to significantly improve the morphology, homogeneity, and yield of fibers of varying diameters. A series of polymeric fibers was created using a 21 wt.% solution of polyethylene oxide in distilled water and the fluid behavior was monitored inside a transparent reservoir using a high-speed camera. Fabrication of the fibers took less than 1 s. Using centrifugal spinning, we studied the formation of the fibers at three different rotational speeds, and for pressurized gyration, one rotational speed was studied with three different nitrogen gas pressures. Using the pressurized gyration technique at a gas pressure of 0.3 MPa, there was significant improvement in the production yield of the fibers. We found a strong correlation between the variation of pressure and the rate of the solution leaving the reservoir with the improved morphology of the fibers. The use of reduced power techniques, like centrifugal spinning and pressured gyration, to yield high-quality nonwoven nanofibers and microfibers in large quantities is important due to their use in rapidly expanding markets. (C) 2019 Author(s)
Turkish-addressed social sciences citation index articles: What does the big picture tell us?
Full text linkThis study investigates articles in the SSCI written in the English language and published in the ‘Education & Educational Research’ area between 1980 and 2019. In the study, bibliometric methods were used to detect the number of SSCI articles published worldwide, and also the articles with a Turkish author address entered, meaning at least one author provided Turkey as their location. In addition, analysis was conducted according to various variables (e.g., research areas, publication year, number of authors, and source titles). The bibliometric data were obtained from the Web of Science Core Collection database. With regards to the ‘Education & Educational Research’ area, the analysis indicated the dominance of English-speaking countries in terms of the number of SSCI-indexed articles and those that had been cited the most. This finding appears to be affected by the majority of journals indexed in SSCI only accepting articles written in the English language. In terms of the number of SSCI articles published in the area of ‘Education & Educational Research’, Turkey was shown to be ranked seventh worldwide. Within Turkey, the number of SSCI articles for the ‘Education & Educational Research’ area ranked second, after ‘Business & Economics’. In comparison to the overall worldwide trend, the study's findings suggest that Turkish researchers have a tendency towards publishing their articles in mainly Turkey-originated journals with low impact factors. Factors that may affect this tendency and the potential implications of these findings are discussed, together with the limitations of the study and suggestions for further research. © 202
Examining relations between physics-related personal epistemology and motivation in terms of gender
No full text0000-0003-4222-7468WOS: 000467779300010The gender gap continues to exist in physics education. The author examines the gender-related differences in the relations and strengths among personal epistemologies, motivation, and achievement in physics among Turkish high school students. Established questionnaires were used to identify students' personal epistemologies, motivations and achievement in physics. A total of 567 ninth-grade students from three high schools in Mugla Province in Turkey participated in the study. Multigroup structural equation modeling was used to determine the gender differences in the relations and strengths among personal epistemology, motivation, and achievement in physics. Results from the structural equation modeling showed that students' personal epistemologies directly predicted their motivation and indirectly their achievement in physics. Multigroup structural equation modeling analysis showed that the strength of the relations between personal epistemology and motivation varied for female and male students. Implications for future directions are discussed
The Impact of Text Representation and Preprocessing on Author Identification
Full text linkAuthor identification, one of the popular topics in text classification and natural language processing, basically aims to determine the author of a given text through various analyses. In the literature, different text representation approaches and use of preprocessing steps are considered for author identification problem. This paper aims to comprehensively examine the impact of text representation and preprocessing steps on author identification specifically for Turkish language. For this purpose, the contributions of all possible combinations of different text representation approaches, namely unigram and bigram, together with the preprocessing tasks, including stemming and stop-word removal, to the performance of author identification are investigated. For the experimental evaluation, a brand new dataset is constituted. Also, two different classification algorithms, namely Multinomial Naive Bayes and Sequential Minimal Optimization, are employed. The results of the experimental analysis reveal that using bigram features alone should be avoided. Besides, it is shown that stop-words should be kept inside the text while stemming can be preferred depending on the classification algorithm so that higher performance can be achieved for author identification.Author identification, one of the popular topics in text classification and natural language processing, basically aims to determine the author of a given text through various analyses. In the literature, different text representation approaches and use of preprocessing steps are considered for author identification problem. This paper aims to comprehensively examine the impact of text representation and preprocessing steps on author identification specifically for Turkish language. For this purpose, the contributions of all possible combinations of different text representation approaches, namely unigram and bigram, together with the preprocessing tasks, including stemming and stop-word removal, to the performance of author identification are investigated. For the experimental evaluation, a brand new dataset is constituted. Also, two different classification algorithms, namely Multinomial Naive Bayes and Sequential Minimal Optimization, are employed. The results of the experimental analysis reveal that using bigram features alone should be avoided. Besides, it is shown that stop-words should be kept inside the text while stemming can be preferred depending on the classification algorithm so that higher performance can be achieved for author identification
Data mining through data visualization: a case study on predicting churners on telecomunications data set
Full text linkBaşarslan, Muhammet Sinan (Dogus Author)Data mining is the process of extracting meaningful information from a large, raw data. These processes are carried out by various, detailed methods. And, the obtained results are used to make various interpretations and to draw conclusions. Deductions can either be made by interpreting the data after various operations or by plotting the data in various forms of graphs. This type of interpretation over graphics is called data mining through data visualization. Generating graphs that can be used to draw various conclusions on a telecommunications data set with the help of some packages included in the R program is presented in the paper. It does not require upper-level math skills to interpret these graphics; and everyone having knowledge about the industry and data set of the graphs has the ability to plot similar graphs and make analysis and interpretations regarding the results obtained on the data set at hand. In this study, R language was preferred as the software infrastructure for data mining applications, and graphs were plotted for interpretation through data visualization with data mining
Açık kaynak kodlu veri madenciliği programları: R’da örnek uygulama
Full text linkBaşarslan, Muhammet Sinan (Dogus Author)The processes on the way from raw data to meaningful information is called data mining. The data is processed by applying various methods of data mining in order to extract hidden information among raw data. The processed raw data becomes usable in the next steps of data mining. There are many open source and commercial applications to be used in data mining and data processing. In this study, information about data mining programs are given, and a case study on the R program. The R program has been chosen because it has a large preference rate among the users as shown by various graphs.Ham verilerden anlamlı bilgilere geçiş sürecine veri madenciliği denir. Veri, ham veriler arasında gizli bilgileri çıkarmak için çeşitli veri madenciliği yöntemleri uygulanarak işlenir. İşlenmiş ham veriler, veri madenciliğinin bir sonraki aşamasında kullanılabilir hale gelir. Veri madenciliği ve veri işlemede kullanılmak üzere birçok açık kaynak ve ticari uygulama vardır. Bu çalışmada veri madenciliği programları hakkında bilgi verilmiş ve R programı üzerinde bir vaka çalışması sunulmuştur. R programı, çeşitli grafiklerle de gösterildiği üzere kullanıcılar arasında büyük bir tercih oranına sahip olması dolayısıyla seçilmiştir
Bir banka müşteri verilerinin farklı veri madenciliǧi platformlarında sınıflandırılması
Full text linkBaşarslan, Muhammet Sinan (Dogus Author) -- Conference full title: 4th Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018; Tepekent Campus in Istanbul Arel UniversityIstanbul; Turkey; 18 April 2018 through 19 April 2018.The process of extracting meaningful rules from big and complex data is called data mining. Data mining has an increasing popularity in every field today. Data units are established in customer-oriented industries such as marketing, finance and telecommunication to work on the customer churn and acquisition, in particular. Among the data mining methods, classification algorithms are used in studies conducted for customer acquisition to predict the potential customers of the company in question in the related industry. In this study, bank marketing data set in UCI Machine Learning Data Set was used by creating models with the same classification algorithms in different data mining programs. Accuracy, precision and f- measure criteria were used to test performances of the classification models. When creating the classification models, the test and training data sets were randomly divided by the holdout method to evaluate the performance of the data set. The data set was divided into training and test data sets with the 60-40%, 75-25% and 80-20% separation ratios. Data mining programs used for these processes are the R, Knime, RapidMiner and WEKA. And, classification algorithms commonly used in these platforms are the k-nearest neighbor (k-nn), Naive Bayes, and C4.5 decision tree
Web Based Patient Feedback System For Hospitals
No full textWeb Based Patient Feedback System for Hospitals Muhammet Damar*11Dokuz Eylül University, [email protected]* Corresponding author: [email protected] Abstract: In daily life, many patients or their relatives receive servicesfrom hospitals in order to benefit from health services. Sometimes thesehospitals are accredited by various accreditation institutions in order toachieve a standard for the services they provide and to operate according tonational and international standards. The Turkish Accreditation Agency(TÜRKAK), which was established in Ankara in 1999, is one of the institutionsthat accredit and inspect health institutions in Turkey. Although patients evaluatetheir satisfaction with the health service they receive on e-pulse effectively,the need for an information system that conveys the problems experienced by thepatient to the relevant hospital and that will ensure the improvement of boththe patient and the institution within the framework of quality standards andthe effective solution of the problems is a necessity. has emerged. Theexistence of such a gap has also attracted attention in the literature studiesand the web pages of health institutions. Considering this need, a web-basedpatient feedback system was designed for the management of patient feedback.During the development, a database modeling was designed that could meet notonly the needs of the entire hospital, but also the central laboratory,polyclinic services and similar different unit needs within the hospital. Thissituation emerged as a result of the needs analysis carried out, and it wasseen that different units may have different needs, and that it was due to thefact that the feedbacks on the services they provided were resolved within adifferent organizational structure. It is thought that the study carried outwill enable to evaluate the concentration in patient feedback over the years,from which units and which types of problems patients encounter more intensely,from many different perspectives such as the content of the problems, unit orperson connection. In addition, recording such positive or negative feedbackfrom patients and establishing an effective process management for feedback areconsidered valuable for improving the quality of health services of hospitals.Keywords: hospital, patient feedbacks, patient rights,quality, feedback management system.</p
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