885 research outputs found
Türkçe Dergilerde Yayımlanan Makaleler Üzerine Bir İnceleme
No full textThere are currently more than 2,000 journals published in Turkey. Yet studies dealing with articles published in Turkish journals are scarce. This paper provides descriptive data on approximately 518,000 articles that appeared in 2,509 Turkish journals published between 1923 and 1999. Data comes from the Bibliography of Articles of the Republican Era 1923-1999 that was recently published by the Turkish National Library. Two thirds of the articles were on technology and social sciences. Articles in medicine constituted one fifth of all articles followed by economics (12.5%) and agriculture (6.1%). An overwhelming majority of articles were authored by a single author. One tenth of all articles appeared in ten journals. Findings can be used to develop library collection management policies for Turkish journals
Cumhuriyet Dönemi Makaleler Bibliyografyası 1923-1999: Eleştirel Bir Değerlendirme.
No full textThe Turkish National Library has recently published the Bibliography of Articles of the Republican Era 1923-1999 (BARE) on CD-ROM. BARE is the most comprehensive bibliography that indexes the articles contained in Turkish journals received by the Library through “legal depot”. It contains bibliographic information on a total of 566,627 articles that appeared in 4,418 Turkish journals and periodicals. This paper critically reviews the Bibliography on the basis of its user interface, database design and data quality. Human-computer interaction (HCI) issues and the usability criteria seem to have not been taken into account when designing the user interface of the BARE CD-ROM. The user interface is not intuitive. It appears that a comprehensive systems analysis study was not carried out before designing the database and the principles of database management design seem to have been ignored. Bibliographic data listed in the printed copies of the Bibliography was simply transferred to a flat table, which resulted in data redundancy and waste of space. Boolean searches cannot be performed on author and article titles. Nine percent of the records contained errors in article and journal titles as well as authors’ names. Used through the web site of the Turkish National Library, the Bibliography and its interface should be redesigned and improved, and the functions of the search engine should be increased
Tam Metin Makale Kullanım Verilerinin Bibliyometrik Analizi
No full textThe main objective of collection management in libraries is to provide information sources needed by library users. The most frequently used information sources in collections are determined by carrying out usage analysis studies. This paper aims to investigate the most frequently used journal titles along with their subjects and years, and the relationship between journal use and impact factors. Transaction logs of more than one million articles that were downloaded from ScienceDirect electronic journals database by the users of Hacettepe University Libraries during 2002-2006 were used for analysis. Each record contained COUNTER-based (Counting Online Usage of Networked Information Resources) data about downloaded article (such as journal name, year, and so on). More articles were downloaded in health sciences. The average number of downloaded articles per journal were higher in chemistry, pharmacology, chemical engineering, medicine and neurology. Journals with high impact factors were also used more often (Pearson’s r = .194, p .01). A small number of core journals in each subject satisfied one third of all downloaded articles. These findings will help Hacettepe University Libraries better manage its licensed journals collection. Training sessions can be increased for ScienceDirect journals (and subjects) that were less-frequently used. Use data can be used to support license agreements
Türkçe Makalelerin Dergilere Dağılımı ve Bradford Yasası
No full textBibliometric findings obtained through the analyses of articles published in journals are used to create scientific and technological road maps and to develop collection management policies in libraries. Yet such analytical studies reviewing the bibliometric characteristics of Turkish articles are scarce. This paper tests if the distribution of some 518,000 Turkish articles to journals conforms to the Bradford Law. Data comes from the Bibliography of Articles of the Republican Era 1923-1999 (BARE) that was recently published on CD-ROM by the Turkish National Library. Although a significant percentage of all articles in a given subject appeared in a relatively few numbers of journals, the distribution of articles to journals did not quite fit the Bradford Law. Eighty “core” journals constituting only 3.2% of all journals contained one third of all published articles while 182 journals contained half, and 358 journals contained two thirds of all articles. A library collection containing the core Turkish journals will likely satisfy the significant percentage of the information needs of users in scientific subjects. Some 2,151 journals constituting 86% of all journals contained a mere one third of all articles. The number of the most productive core journals in each subject was higher than that predicted by the Bradford Law. Articles in linguistics fitted the law best while articles in technology, medicine, social and natural sciences and mathematics fitted the least. Bibliographies with homogeneous subjects seem to fit the classical Bradford Law better. Findings of bibliometric studies should be used to measure the performance of Turkish science and research, and to develop a science and technology “road map”. Core Turkish journals based on bibliometric findings should be acquired by libraries
Evaluation of Olive Tree (Olea europaea L.) as A Biomonitor for Monitoring of Heavy Metal Pollution Caused by Traffic: Example of Artvin
No full textBu çalışmada trafik yoğunluğundan kaynaklanan ağır metal konsantrasyonunun izlenmesinde zeytin ağacının (Olea eurpaea L.)
biyomonitör olarak kullanılma potansiyeli araştırılmıştır. Bu amaçla Artvin ili kent merkezinde trafik yoğunluğunun farklı olduğu altı
farklı istasyondan toplanan toprak, yaprak, meyve ve kabuk örneklerindeki % kükürt miktarı, elementel analiz cihazı ile Cr, Ti, Fe, Ni,
Co, Cu, Zn, Pb ve Al içerikleri ise ICP-OES ile belirlenmiştir. Analiz ölçümlerinin doğruluğu toprak örnekleri için LGC 6187 ve bitki
örnekleri için ERM-CD 281 standart referans madde kullanılarak test edilmiştir. Elde edilen ölçüm sonuçlarındaki farklılıklar ise
ANOVA testi kullanılarak belirlenmiştir. Elde edilen sonuçlara göre; toprak, yaprak, meyve ve kabukta yüzdesel olarak en yüksek
kükürt değeri trafik yoğunluğunun en fazla olduğu noktalarda tespit edilmiştir. Bitki ve toprak örneklerindeki Cr, Ti, Fe, Ni, Co, Cu,
Zn, Pb ve Al elementleri için ağır metal konsantrasyonları yapılan diğer çalışmalar ve yönetmeliklerle karşılaştırılmış ve tüm metallerin
sınır değeler içerisinde bulunduğu gözlenmiştir. Yapılan istatiksel çalışmalarda; noktalar arasında %95 güven düzeyinde anlamlı bir
fark olduğu belirlenmiştir. Ayrıca trafiğin yoğun olduğu alanlardan uzaklaştıkça toprak, yaprak, meyve ve kabuğun metal
konsantrasyonlarında azalma olduğu tespit edilmiştir. Bu durum zeytinin trafik kaynaklı kirliliğin belirlenmesinde biyomonitör olarak
kullanılabileceğini göstermektedir.In this study, the potential of using olive tree (Olea europaea L.) as a biomonitor was investigated in monitoring heavy metal
concentrations caused by traffic density. For this reason, in soil, leaf, fruit and shell samples collected from regions where traffic
density is different in the city center of Artvin province, Sulfur content (%) was determined by elemental analyzer and heavy metals
(Cr, Ti, Fe, Ni, Co, Cu, Zn, Pb and Al) was determined by ICP-OES. The accuracy of the assay measurements was tested using LGC
6187 for soil samples and ERM-CD 281 for plant samples. The differences in the measurement results obtained were determined using
the ANOVA test According to the results obtained; the highest sulfur value in soil, leaves, fruit and bark was determined at the points
with the highest traffic density. Heavy metal concentrations for Cr, Ti, Fe, Ni, Co, Cu, Zn, Pb and Al elements in plant and soil samples
were compared with other studies and regulations, and all metals were found to be within the limit values. In statistical studies, it has
been determined that there is a significant difference between points at 95% confidence level. In addition, it has been found that metal
concentrations of soil, leaves, fruits and bark decrease as they move away from traffic areas. This is an indication that olives can be
used as biomonitors in detecting traffic pollution
The Influences of Sectarian Fanaticism on Descriptions of Other Sects
No full textWOS: 000391860100006Kitab al-Firaq is an important work belonging Abu Muhammad al -Yemeni. It reflects sectarian perception of Sunni scholars who lived in Yemen in the sixth century AH. But there is not enough information about the author and his work in the sources. But it is known that he has affected some scholars like Saksaki. In addition, influences of political, social and religious structure of Yemen can be seen in Kitab al-Firaq. Ash'arite, Ashabu'l-Hadith, Ismaelite, and Zaidiyyah were the most common sects in Yemen at that time. The social life of the region had been shaped by politics behaving sectarian competition. Hence, written books had ideological contents. Sectarian fanaticism was affecting the descriptions made on opponents. For instance, Abu Muhammad has used exclusionary language about dissident sects. In addition, he has selected the marginal views of sects; moreover, presented some opinions by falsifying and sometimes made generalizations. Therefore, modern researchers should be careful while using his book and similar works of Islamic heresiographical literature about problems such as these
Participatory policy-making, participatory civil society: A key for dissolving elite rule in new democracies in the era of globalization
No full textKorkut, Umut (Dogus Author)The author argues that in democracies a strong state and strong civil society are not mutually exclusive. Only a democratic, legitimate, and strong state can provide the environment for civil society activities to flourish; in return, only a strong and a participatory civil society can outline the reach of state strength vis-`a-vis the society. The author discusses the need for civil society organizations to collaborate with policy-making institutions, in which they can negotiate policy concerns with ministers and officials while retaining an independent distance from the state and the political parties. Further, the author argues that an environment as such would provide for the transformative capacity of human agency to manifest itself in full in a globalizing world. The author discusses how participatory state and çivil society structures will enhance the role of the human agency in order to dissolve elite rule, especially in new democracies
: An Inquiry into a Non-Dualistic Duality of Human and Nonhuman
No full textIn-Habitant is an art and life project based on artist Umut Tasa’s decade-long encounters with urban wildlife. It is a quest to utilize art as a research method to contemplate her memories, nature discoveries, audiovisual records, and archive of haiku and prose through a body of artworks. These artworks bring together the corporeality of nonhumans with their digital re-presentation and literary text with creative coding. The author inquires into dualistic and nondualistic ontological approaches to human-nonhuman relations in urban settings
Do mutual funds herd in industries?
No full textDue to copyright restrictions, the access to the full text of this article is only available via subscription.This study examines whether mutual funds herd in industries and the extent to which such herding impacts industry valuations. Using two herding measures proposed by Lakonishok et al. (1992) and Sias (2004) we document that mutual funds herd in industries. We show that industry herding is not driven by fund flows and that it is not a manifestation of individual stock herding. We also find evidence indicating that herding in industries by mutual funds is related to the industry momentum phenomenon first documented by Moskowitz and Grinblatt (1999), but it does not drive industry valuations away from their fundamentals
Designing a model for content-based citation analysis: An application for Turkish citations based on text categorization
No full textne of the important components of measuring research/er performance is to evaluate the number of citations received. Academics receive incentives, promotions or rewards contingent to the number of these citations. Although the initial purpose for the recording of citations was to determine the publications related to one another, the use of citations also changed as a result of these new contingents. This situation sometimes brings about unethical practices such as the manipulation of the number of citations. Consequently, there emerged the necessity of conducting content analysis of citations in addition to quantitative evaluations. The main aim of this study is to design a content-based citation analysis model for Turkish citations. For this end, 423-refereed articles, which have been published in library and information science literature in Turkey, are thoroughly examined. Firstly, all metadata, references, and full-texts of the articles are stored in a database to create a content-based citation analysis model. A total of 12,881 references and 101,019 sentences have been stored in this database. Then, the main taxonomic categories have been determined and citation sentences have been classified into these categories by tagging them with inter-annotator agreement process. At the last stage, the performance of the classification has been tested by using Weka software and a content-based citation analysis model is presented considering these performance ratios. In this study, citations are divided into four main categories: citations in terms of meanings, citations in terms of purposes, citations in terms of shapes, and citations in terms of arrays. Then, each category is divided into sub-categories. The sub-categories are positive, negative, and neutral citations for meaning; literature, definition, method, data and data validation for purpose; mentioning author name, multiple citations in single sentence, and citation using direct quotations for shape. In evaluating the citations in terms of arrays, the sections of citations (introduction, method etc.), the number of use, and the number of citations in different sections in the texts have been considered. In the categorization of citations by the machine, 1-2 gram word tokenizer has been chosen as the word preprocessing method and the application is run with the stop words preserved. The main reason for this is that the stop words have importance in the determination of citation classes. Following the word preprocessing, the performance of the classification has been tested with the Weka software and over 90% performance is achieved for all three main categories. Naive Bayes Multinomial algorithm is used to classify citations in terms of meanings (performance ratio is 96.5%) and purposes (performance ratio is 90.4%). It has been found that the lowest achievement in classifying citations in terms of meaning is in determining negative citations. This finding confirms the argument that authors make negative citations with more allusive words. Studies in the literature show that when different applications of the natural language processing are added to the analysis (such as sentiment dictionary or parsing), the performance can be improved. Success rates may be increased by adding various analyses in future studies. According to the results of citation purpose classification, the best performance has been determined for data validation citations, while the lowest performance has been detected for method and definition citations. The main reason for this is thought to be the definitions made when explaining the method. Random Forests algorithm has been used for the classification of citations in terms of shapes and the algorithm has been able to classify citations with the success rate of 92%. Highest achievement has been determined for citations with author names, while the lowest performance has been calculated for the citations indicated in quotation marks. The results show that in the Turkish library and information science literature citation sentences are generally placed in introduction and literature review sections (85%), and negative and data validation citations are seen in the findings and conclusions sections. Additionally, citations by using the name of cited authors are generally found in conclusion sections. It is determined that 67% of the references are cited only once in the texts, and 6% are not cited in the texts at all. In addition, 1% of the citations in the texts are not found in the reference lists. This suggests that writers and editors should be more careful when citing and editing the papers. In this study, the fundamental points to be taken into consideration during citation evaluation processes by researchers, editors, and managers/decision makers are presented by content-based citation analysis model. With this model, the tasks ideally assigned to each role in the scholarly communication process are also defined. The most important issue at this point is a realization on the part of all parties involved that the meaning of a citation is not the same in every case. Once such an awareness is in place, it may be possible to minimize the manipulations done through the citations.Bu araştırma Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (TÜBİTAK)
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