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Erişime Açık

CAN IRREGULAR MIGRATION PROVIDE SAFETY AND SECURITY TO MIGRANTS? DÜZENSİZ GÖÇ GÖÇMENLERE EMNİYET VE GÜVENLİK SAĞLAYABİLİR Mİ?

Suat Dönmez

Migration with different types is a phenomenon and part of daily life worldwide. Irregular migration is an effective form of migration, usually due to security reasons. Interstate and internal armed conflicts are among the leading causes of irregular migration activities. The main characteristics of irregular migration are that it is conducted in masses and in an abrupt manner to neighboring countries. States usually do not favor this type of migration, which puts a heavy burden on the shoulders of receiving country. States reinforce their borders with new procedures and physical barriers to p ...Daha fazlası

Süresiz Ambargo

Prescriptive digital transformation maturity model: a development and validation study

Batuhan Kocaoglu

PurposeThis study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority weights of maturity model components.Design/methodology/approachA literature review with a concept-centric analysis enlightens the characteristics of constituent parts and reveals the gaps for each component. Therefore, the interdependency network among model dimensions and priority weights are identified using decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP) method, i ...Daha fazlası

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Detection of cyber-attacks on smart grids using improved VGG19 deep neural network architecture and Aquila optimizer algorithm

Cevat Rahebi

This study introduces an innovative smart grid (SG) intrusion detection system, integrating Game Theory, swarm intelligence, and deep learning (DL) to protect against complex cyber-attacks. This method balances training samples by employing conditional DL using Game Theory and CGAN. The Aquila optimizer (AO) algorithm selects features, mapping them onto the dataset and converting them into RGB color images for training a VGG19 neural network. AO optimizes meta-parameters, enhancing VGG19 accuracy. Testing on the NSL-KDD dataset generates remarkable results: 99.82% accuracy, 99.69% sensitivity, ...Daha fazlası

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Comparative Study for Sentiment Analysis of Financial Tweets with Deep Learning Methods

Cevat Rahebi

Nowadays, Twitter is one of the most popular social networking services. People post messages called “tweets”, which may contain photos, videos, links and text. With the vast amount of interaction on Twitter, due to its popularity, analyzing Twitter data is of increasing importance. Tweets related to finance can be important indicators for decision makers if analyzed and interpreted in relation to stock market. Financial tweets containing keywords from the BIST100 index were collected and the tweets were tagged as “POSITIVE”, “NEGATIVE” and “NEUTRAL”. Binary and multi-class datasets were creat ...Daha fazlası

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Enhancing Fault Detection and Classification in MMC-HVDC Systems: Integrating Harris Hawks Optimization Algorithm with Machine Learning Methods

Cevat Rahebi

Accurate fault detection in high-voltage direct current (HVDC) transmission lines plays a pivotal role in enhancing operational efciency, reducing costs, and ensuring grid reliability. Tis research aims to develop a cost-efective and high-performance fault detection solution for HVDC systems. Te primary objective is to accurately identify and localize faults within the power system. In pursuit of this goal, the paper presents a comparative analysis of current and voltage characteristics between the rectifer and inverter sides of the HVDC transmission system and their associated alternating cur ...Daha fazlası

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Bitterling fsh optimization (BFO) algorith

Cevat Rahebi

The bitterling fsh is a prime example of intelligent behavior in nature for survival. The bitterling fsh uses the oyster spawning strategy as their babysitter. The female bitterling fsh looks for a male fsh stronger than other fsh to fnd the right pair. In order to solve optimization issues, the Bitterling Fish Optimization (BFO) algorithm is modeled in this manuscript based on the mating behavior of these fsh. The bitterling fsh optimization algorithm is more accurate than the gray wolf optimization algorithm, whale optimization algorithm, butterfy optimization algorithm, Harris Hawks optim ...Daha fazlası

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Psychometric Testing of the Newborn Skin Assessment Attitude Scale in Neonatal ICU Nurses

Tülay Ortabağ | Zerrin Çiğdem

OBJECTIVE: To develop a Newborn Skin Assessment Attitude Scale (NSAAS) for neonatal ICU (NICU) RNs.METHODS: The study was conducted with 326 nurses working in NICUs in three cities in Turkey. The researchers evaluated the content and construct validity and reliability of the scale with item-total score correlation analysis, the test-retest method, and calculating the Cronbach alpha reliability coefficient.RESULTS: The content validity index of the scale ranged between 0.87 and 1.00. Prior to exploratory factor analysis and confirmatory factor analysis, the Kaiser-Meyer-Olkin coefficient of the ...Daha fazlası

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RENGİN KADRAJINDAN SANAT/TASARIMI OKUMAK “KIRMIZI-MAVİ- SARI”

Berna Karaçalı

Görsel dilin güçlü bir elemanı olan renk teori ve pratiğin ara kesitinde kavranması gereken bir olgu olarak disiplinler arası bir perspektifle incelenmelidir. Kuramdan pratiğe sanat/tasarım alanının ortak paydasında varlık bulan renk; Antik Çağ’dan günümüze üretilen renk teorileri ile felsefenin, üretmiş olduğu sembolizm dilinin işaret ettiği kolektif bilinç kavramıyla toplumbilim alanının; algıdaki değişimi etkileyen kuvvetiyle psikolojinin, görme işlevinin ardındaki mekanizmanın derinliği ile fizyolojinin, pigment (renk) molekülünün karmaşık yapısı ile kimyanın, ışığın dalga boyu ve frekans ...Daha fazlası

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WORTHLESSNESS CRISIS IN JOURNALISM

Nur Esra Atmaca Durum

The press and freedom are two phenomena that co-exist in modern times. Just as peoples in history have benefited from the power of the press in their struggle for freedom, the press must continue its existence on behalf of society for its own freedom. This intertwined state of existence and functionality is like a mirror that can reflect democratic social life in perhaps the simplest way. However, in the 21st century, when humanity is experiencing a time of wars, rapidly diminishing natural resources, globally increasing pandemics and natural disasters ranging from earthquakes to floods, the 4 ...Daha fazlası

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Cumhuriyetin Kuruluşunda İşlevsel Güç Olarak Milli Basın ve Atatürk’ün Gazeteci Kişiliği

Nur Esra Atmaca Durum

Türk basınının doğduğu Osmanlı İmparatorluğu döneminden, Milli Mücadele yıllarına gelinceye kadar geçen sürecin en dikkat çeken özellikleri, Saray’ın baskıcı yasal düzenlemelerinin gölgesinde başlamış ve 1867’den itibaren ağırlıklı olarak yurtdışına kaçan aydınlarla sürgün gazeteciliği şeklinde devam etmiş olmasıdır. Diğer taraftan, 1908’de II. Meşrutiyetin ilanıyla kısa süreli bir özgürlük patlaması gerçekleşse de gazetecilik sürekli kontrol altında ve çalkantılı bir seyir izlemiştir. Ancak, Atatürk önderliğinde Türkiye Cumhuriyeti’nin kuruluşuna ulaşan süreç, basın ve halkın ulusal menfaatle ...Daha fazlası

Süresiz Ambargo

The Ideal Grandparent Scale: Validation in a Turkish Young Adults Population

Zerrin Çiğdem

Aim: The aim of this study is to examine the psychometric properties of the Turkish version of The Ideal Grandparent Scale(IGS). Method: Content and construct validity were evaluated for the psychometric measurements of the scale. In addition, language validity and reliability analyzes were performed. Results: The language and content validity of the scale was evaluated as appropriate. In the analyzes made for construct validity, item loads, variance and fit values of the scale were found to be appropriate. In addition, in the analyzes for reliability, it was determined that the cronbach alpha ...Daha fazlası

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Hybrid model-based prediction of biomass density in case studies in Turkiye

Buket İşler

Growing global concern over natural resource degradation due to urbanisation and population growth emphasizes the critical need for innovative solutions. Addressing this imperative, our study pioneers the integration of cutting-edge artificial intelligence (AI) methods to investigate crucial changes in vegetation density. In this context, a hybrid model, which harmoniously integrates conventional artificial neural network (ANN) models with the innovative Wavelet-ANN (W-ANN) approach, was employed in two case pilot areas, namely on Alanya in Antalya and Iznik in Bursa, Turkiye, renowned for the ...Daha fazlası

6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.
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