WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12469/4465

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Ab Hukuk Düzeni ve Emca’da Anonim Ortaklıklarda Çoğunluğun Kötüye Kullanımının Etkilerinin Azaltılması: İzole ve Halka Kapalı Türk Anonim Ortaklıklarında Azınlığın Korunması İçin Esinlenmek Mümkün Mü?
(Istanbul Univ, Fac Law, 2024) Görmez, Onur; Goermez, Onur
AB mevzuatında, çoğunluğun kötüye kullanılması hususunu düzenleyen genel bir hüküm bulunmamaktadır. Üye devletlerde ise konuya dair iki ayrı yaklaşım bulunmaktadır. Bunlardan Fransa’da kabul gören çift eşikli yaklaşım olarak adlandırılabilecek ilki hem azınlığın hem de ortaklığın çıkarının zedelenmesini aramaktadır. Almanya ve İskandinav ülkeleri gibi bazı ülkelerde kabul gören tek aşamalı yaklaşım olarak adlandırılabilecek diğer yaklaşımda yalnızca azınlığın çıkarının zedelenmesi yeterli görülmektedir. AB düzenlemeleri de dikkate alınarak akademisyenler tarafından hazırlanan bir model yasa çalışması olan EMCA’da da kendisine yer bulan ikinci yaklaşım azınlık pay sahipleri için daha iyi bir koruma sunmaktadır; özellikle izole ve halka kapalı anonim ortaklıkların azınlık pay sahipleri yönünden. Adalet Divanı’nın Audiolux kararıyla da ortaya konduğu üzere AB Hukuku’nda pay sahipleri yönünden uygulama alanı bulacak genel geçer bir eşit işlem ilkesi söz konusu değildir. EMCA’da olduğuna benzer şekilde TTK m.357’de ise eşit şartlardaki pay sahiplerinin eşit işleme tabi tutulması gerekliliğini öngören hüküm uyarınca, Türk hukukunda da ortaklıkta çoğunluğun kötüye kullanılmasının tartışma konusu olduğu hallerde, kötüye kullanmayı tespit için tek eşikli yaklaşım yeterli olmalıdır. İzole ve halka açık olmayan anonim ortaklıklarda azınlık pay sahiplerinin etkin bir şekilde korunması için uygulanabilecek yöntemler bakımından ise, sınır aşan tür değiştirme, birleşme ve bölünmeler yönünden 2017/1132 sayılı Yönerge seviyesinde de öngörülen azınlığa ortaklıktan çıkma hakkı tanıyan bir düzenlemenin getirilmesi yerinde olacaktır. Haklı nedenle feshi düzenleyen TTK m.531’in değiştirilmesi suretiyle azınlık pay sahiplerine, paylarını satarak ortaklıktan çıkmayı doğrudan mahkemeden talep edebilecekleri bir düzenleme getirilmesi de düşünülmelidir. EMCA Bölüm 11.35 ve Bölüm 11.37’deki pay sahiplerinin paylarını satarak ortaklıktan çıkması ile payların satın alınmasını talep etme veya paylarını satmaya zorlama hususlarında öngörülen hükümlerden TTK için de esinlenilebilir.
Citation - WoS: 1
Citation - Scopus: 1
Accelerated Trends in Tourism Marketing and Tourist Behaviour
(Routledge, 2023) Kozak, Metin; Kozak, Metin
[No Abstract Available]
Citation - WoS: 1
Citation - Scopus: 1
Age Classification by WGAN Brain MR Image Augmentation
(IEEE, 2024) Yaman, Batuhan; Yilmaz, Ozge Zeynep; Darici, Muazzez Buket; Ozmen, Atilla
Medical image augmentation plays a crucial role in enhancing the performance of Artificial Intelligence (AI) applications in medical sciences. Augmenting medical images is important for solving data scarcity, increasing data diversity, enhancing robustness and reliability of model and improving training and test results that can be done in medical sciences. In this work we show that Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) can be used for increasing the performance of data classification. To achieve that, we have augmented healthy brain MR images by using WGAN and updated the dataset. The results give that when dataset augmented by WGAN-GP is used as input for CNN-based model to solve age classification problem, accuracy of this model increases to 98,37% from 95,14%. It can be concluded that the purposed WGAN-based brain MR image augmentation method enhances the performance of image classification.
Citation - WoS: 6
Citation - Scopus: 7
Alternative Credit Scoring and Classification Employing Machine Learning Techniques on a Big Data Platform
(Institute of Electrical and Electronics Engineers Inc., 2019) Hindistan, Yavuz Selim; Kiyakoğlu, Burhan Yasin; Rezaeinazhad, Arash Mohammadian; Korkmaz, Halil Ergun; Dağ, Hasan
With the bloom of financial technology and innovations aiming to deliver a high standard of financial services, banks and credit service companies, along with other financial institutions, use the most recent technologies available in a variety of ways from addressing the information asymmetry, matching the needs of borrowers and lenders, to facilitating transactions using payment services. In the long list of FinTechs, one of the most attractive platforms is the Peer-to-Peer (P2P) lending which aims to bring the investors and borrowers hand in hand, leaving out the traditional intermediaries like banks. The main purpose of a financial institution as an intermediary is of controlling risk and P2P lending platforms innovate and use new ways of risk assessment. In the era of Big Data, using a diverse source of information from spending behaviors of customers, social media behavior, and geographic information along with traditional methods for credit scoring prove to have new insights for the proper and more accurate credit scoring. In this study, we investigate the machine learning techniques on big data platforms, analyzing the credit scoring methods. It has been concluded that on a HDFS (Hadoop Distributed File System) environment, Logistic Regression performs better than Decision Tree and Random Forest for credit scoring and classification considering performance metrics such as accuracy, precision and recall, and the overall run time of algorithms. Logistic Regression also performs better in time in a single node HDFS configuration compared to a non-HDFS configuration.
Citation - Scopus: 1
Analysis and Optimization of the Network Throughput in IEEE 802.15.13 based Visible Light Communication Networks
(IEEE, 2021) Bulbul, Yusuf; Elamassie, Mohammed; Baykas, Tuncer; Uysal, Murat
In line with the growing interest on visible light communication (VLC), IEEE has initiated standardization efforts on this emerging technology. In this work, we consider IEEE 802.15.13 Optical Wireless Personal Area Networks (OWPAN) standard draft. The underlying MAC protocol uses contention free and contention access periods. For a standard-compliant VLC network, we analyze the network load and propose an algorithm to improve the network throughput by proper selection of period lengths. Our suggested algorithm improves the network performance by at least 5% in the case of variable network traffic up to 15 active users.
Citation - WoS: 2
Citation - Scopus: 6
Analysis of deep learning based path loss prediction from satellite images
(IEEE, 2021) Alam, Muhammad Z.; Ates, Hasan F.; Baykas, Tuncer; Gunturk, Bahadir K.
Determining the channel model parameters of a wireless communication system, either by measurements or by running electromagnetic propagation simulations, is a time-consuming process. Any rapid deployment of network demands faster determination of at least major channel parameters. In this paper, we investigate the idea of using deep convolutional neural networks and satellite images for channel parameters (i.e., path loss exponent n and shadowing factor sigma) prediction in a cellular network with aerial base stations. Specifically, we investigate the performance dependency of the method on three different factors: height of the transmitter antenna, quantization levels of the channel parameters and architectural design of CNN. The results presented in this paper show a high prediction accuracy of the channel parameters in real-time.
Citation - WoS: 1
An analysis of social media content shared by right-wing extremist groups in the United States, the Great Britain and Australia
(Istanbul Univ, Fac Communication, 2023) Masalha, Oday; Bas, Ozen
The extreme right movements have increasingly appeared on social media, especially on Twitter and Facebook, coinciding with the 2019 New Zealand attack, the 2019 El Paso incident, and Britain's exit from the European Union in 2020. This study examines the content and the form of extreme right-wing activities on Facebook and Twitter to promote their ideologies. A qualitative content analysis was conducted on posts shared by extreme-right groups on public Facebook and Twitter accounts in Great Britain, the United States and Australia. The sample spans from March 15, 2019 to February 5, 2020. The posts were coded according to a coding instrument developed based on the existing literature spreading extremist ideologies on social media. The coding instrument consisted of categories and subcategories such as 'the protection of western values', 'anti-LGBT activism', 'anti-feminism', 'anti-Islam', 'anti-immigrant sentiments', 'fostering the white race', and 'anti-elitist populism'. Findings suggest that the most prevalent extremist ideologies on Facebook and Twitter posts were 'anti-elitist populism' and 'the protection of western values'. Also, extremist groups heavily shared posts that combined texts and images to spread their ideologies on social media.
An Ant-Lion Optimization Based Approach to Solve Phase Balancing Problem in Distribution Networks
(IEEE, 2024) Yesilyurt, Gunnur; Ceylan, Oguzhan
Phase unbalance is a significant issue for power distribution networks. It can lead to increased energy losses and voltage instability, undermining the electrical grid's reliability and efficiency. We propose an approach to minimize voltage unbalance through reactive power management from PV installations and the optimization of charging/discharging of energy storage devices utilizing a control algorithm based on Ant-Lion Optimizer. We tested the approach on the IEEE 123-Bus Test System, incorporating PV generations by daily simulations. From the results, the combined operation of reactive power support from PVs and Storage Units with the help of the ALO algorithm offers a promising solution to the phase unbalance problem.
Citation - WoS: 79
Citation - Scopus: 95
The association of the severity of obstructive sleep apnea with plasma leptin levels
(Amer Medical Assoc., 2003) Öztürk, Levent; Ünal, Murat; Tamer, Lülüfer; Çelikoğlu, Firuz
Objective: To examine whether circulating leptin levels correlate with the severity of disease in patients with obstructive sleep apnea. Design: Prospective nonrandomized study. Setting: Referral sleep laboratory for patients with sleep-disordered breathing and biochemistry laboratory. Patients: Thirty-two subjects (mean+/-SD age 47+/-12 years) who were referred for suspected sleep apnea underwent an overnight sleep study and fasting morning venous blood sampling. Patients were divided into 3 groups with respect to apnea-hypopnea index: (1) severe sleep apnea (n=8) apnea-hypopnea index greater than 20
Citation - WoS: 2
Attentional Control Scale-Turkish Version: Psychometric Qualities, Factor Structure and Its Comparison with Behavioral Measures of Executive Attention
(ODTU-AYNA Klinik Psikoloji Destek Unitesi, 2024) Altan-Atalay, Ayse; Cinli, Dilem; Aksungur, Sebla Umay; Turkakin, Esin; Aksungur, Umay
Attentional control refers to the capacity to voluntarily control attentional resources in a flexible manner. Attentional control was reported to play a fundamental role in self-regulation, emotion regulation, delay of gratification, and psychological distress. The Attentional Control Scale (ACS) was developed to measure perceived attentional control based on shifting and focusing dimensions. The present studies aimed to adapt the Turkish version of ACS and asses its psychometric characteristics. Study 1 aimed to explore the psychometric qualities of the Turkish version with a group of Turkish individuals (N = 428, 306 women) between the ages of 18 and 68 and supported the two-factor model of ACS consisting of 17 items in total. The results supported that shifting, focusing, and total ACS showed adequate internal consistency, test-retest reliability, and convergent validity evidence based on its significant correlations with measures of anxiety, depression, and repetitive negative thinking, signifying its proper psychometric characteristics. In Study 2 (N = 97, 65 women), the association of ACS with behavioral attentional control measures was examined, and non-significant associations between self-report and behavioral measures of attentional control were denoted. These findings signified that rather than indicating the individual's actual attentional control capacity, ACS assessed how the individual perceives their own attention control capacities. Taken together, the results suggest that the Turkish form of ACS is a valid and reliable scale that can be used to assess perceived attentional control capacity based on shifting and focusing domains, particularly in the research setting.
Citation - WoS: 10
Citation - Scopus: 11
Automatic Adaptation of Hypermutation Rates for Multimodal Optimisation
(Assoc Computing Machinery, 2021) Corus, Dogan; Oliveto, Pietro S.; Yazdani, Donya
Previous work has shown that in Artificial Immune Systems (AIS) the best static mutation rates to escape local optima with the ageing operator are far from the optimal ones to do so via large hypermutations and vice-versa. In this paper we propose an AIS that automatically adapts the mutation rate during the run to make good use of both operators. We perform rigorous time complexity analyses for standard multimodal benchmark functions with significant characteristics and prove that our proposed algorithm can learn to adapt the mutation rate appropriately such that both ageing and hypermutation are effective when they are most useful for escaping local optima. In particular, the algorithm provably adapts the mutation rate such that it is efficient for the problems where either operator has been proven to be effective in the literature.
BERT for Harmonic Time Series Modeling: A Multi-Stage Fine-Tuning Approach
(IEEE, 2025) Hekimoglu, Nevin Sehbal; Tileylioglu, Salih; Akagunduz, Erdem
This study demonstrates the potential of a BERT-based transformer model in harmonic signal modeling using synthetic sinusoidal data. The model was trained through a three-stage fine-tuning process (reconstruction, linear analysis, full tuning) with a masked language modeling approach. In the first stage, the model successfully filled in missing data and learned the basic features, while in subsequent stages, its ability to capture temporal dependencies and sequential patterns was enhanced. Additionally, patch, time, and station embedding strategies effectively represented the harmonic structure of the signal. The results indicate that pre-training with synthetic data can overcome the limited access to real-world data, allowing transformer models to be efficiently used in these types of problems.
Better Reflective Functioning in Mothers Linked to Longer Joint Attention with Infants
(Elsevier Science Inc, 2026) Koc, Nursena; Unlu, Huseyin; Uzundag, Berna A.
Joint attention is a foundational precursor to later developmental outcomes such as vocabulary, intelligence, and theory of mind. Previous research has shown that maternal sensitivity, depressive symptoms, and parent-child attachment security are associated with attention-sharing behaviors between mothers and their infants. The present study examined the relationship between mothers' reflective functioning (the ability to recognize and interpret one's own and one's child's mental states, as well as the behaviors motivated by those mental states) and joint attention. Data were collected from 72 infants aged 10-16 months and their mothers. Results indicated that mothers who reported greater difficulty in understanding and distinguishing between their own and their child's mental states (i.e., higher prementalization) tended to engage in joint attention episodes that were shorter and more frequent, and they were also more likely to terminate these interactions. In contrast, mothers expressing greater interest and curiosity about their infants' mental states spent longer periods in joint attention, initiated these episodes less often, and were less inclined to terminate them. Additionally, mothers who felt more certain about their infants' mental states were less likely to end joint attention episodes. After controlling for infant age and socioeconomic status, higher levels of interest and certainty continued to predict lower maternal termination, while prementalization was still linked to a higher number of joint attention episodes. These findings suggest that mothers' perceptions of their infants' mental states shape how they engage in shared attention during everyday play interactions.
Citation - WoS: 1
Beyond the Disaster: Vulnerability of Governance in the Turkey-Syria Earthquake
(Palgrave Macmillan, 2024) Yilmaz, Elif Ebru; Tomaka, Deniz Halman
Citation - WoS: 2
Citation - Scopus: 3
Channel Estimation Using Optical MIMO OFDM Based LED Index Modulation
(IEEE, 2021) Okumus, Furkan Batuhan; Panayırcı, Erdal
In this paper, a new MIMO channel estimation technique is proposed for generalized LED index modulation (GLIM-OFDM) developed for multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) based VLC systems. The mean square error (MSE) of the channel estimation algorithm, the bit error rate (BER) and the Cramer-Rao (CR) lower-bound of the system were obtained analytically and the performance of the algorithm according to the signal-to-noise ratio was investigated by computer simulations. From the obtained MSE, BER and CR curves it is concluded that the MSE performance of the proposed channel estimation algorithm is very high and the BER performance of the system obtained with the estimated channel information is very close to the BER performance in the case of perfect knowledge of the channel.
Citation - WoS: 1
The Choice of Law in the Infringement of Intellectual Property Rights by Soft Law Provisions
(Istanbul Univ, 2020) Omeroglu, Ekin
This study deals with the party autonomy principle as a connecting factor in the infringement of intellectual property rights in the light of soft law provisions. The territoriality principle and the lex loci protectionis rule govern as the main doctrines of law applicable to intellectual property infringement disputes. However, several academic projects from all over the world (the Principles by the American Law Institute, the Principles by the European Max Planck Group on Conflict of Laws in Intellectual Property, the Japanese Transparency Proposal, the Joint Principles drafted by members of the Private International Law Association of Korea, Japanese Waseda University Global COE Project and the Draft Guidelines on Intellectual Property in Private International Law of The International Law Association Intellectual Property and Private International Law Committee) suggested the party autonomy principle for the infringement of intellectual property rights in contrast to Article 8(3) of the Rome II Regulation. All these principles have no legally binding effect, but they are a set of principles that could be used both by international and national legislative bodies and courts. Moreover, the party autonomy principle in intellectual property infringement cases has been accepted by Turkish Private International Law Act (PILA), Swiss PILA and Chinese PILA. The purpose of this study is to analyse both soft law and national law provisions comparatively. Although the common aspect of the legal principles is to accept the will of the party, all of the provisions differ in several aspects. This study attempts to analyse and evaluate the suggested developments of the choice of law for intellectual property infringement cases.
Citizenship, Media and Activism in Turkey during Gezi Park Protests1
(Taylor and Francis, 2023) Yanardağoğlu, E.
In the decade that followed the Arab Spring, hopes for greater democratization in the Arabic speaking countries and their neighbours have waned. The political activism in Turkey has grown in the immediate years after the Gezi Park protests especially due to the increasing role of social media as an alternative venue for information exchange for citizens. However, the media freedom began to decline especially after the failed coup in 2016 onward and democratic backsliding have been more prominent. This chapter examines the use of Twitter during the Gezi Park protests and explores the ways in which it motivated or facilitated democratic participation. The data presented here are drawn from independent research efforts of a number of academics who collaborated in data collection, which combines a quantitatively driven social network analysis of approximately one million archived tweets, followed by in-depth interviews in order to collect personal accounts of motivations for online participation of protestors during the Gezi Protests. © 2024 selection and editorial matter, Nael Jebril and Mohammed-Ali Abunajela; individual chapters, the contributors.
Co-Insurance and Rights of Subrogation Post-Gard Marine and Energy V China National Chartering Company Ltd
(Edward Elgar Publishing Ltd., 2024) Noussia, K.; Aslan, Y.C.
Citation - WoS: 108
Citation - Scopus: 128
Cognitive impairment in amyotrophic lateral sclerosis: evidence from neuropsychological investigation and event-related potentials
(Elsevier Science Bv, 2002) Hanagasi, Hasmet A.; Gurvit, I. Hakan; Ermutlu, Numan; Kaptanoğlu, Gulustu; Karamürsel, Sacit; Idrisoğlu, Halil A.; Emre, Murat; Demiralp, Tamer
The presence of subclinical cognitive impairment in patients with amyotrophic lateral sclerosis (ALS) is investigated using neuropsychological assessment and event-related potential recordings (ERP). An extensive battery of neuropsychological tests assessing the domains of attention memory language visuo-spatial and executive functions were administered to 20 non-demented patients with sporadic ALS and 13 age- and education-matched healthy control subjects. Mismatch negativity (MMN) P3b P3a (novelty P300) and contingent negative variation (CNV) were recorded. ALS patients were significantly impaired in tests of working memory sustained attention response inhibition naming verbal fluency and complex visuo-spatial processing. The memory impairment seemed to be secondary to deficits in forming learning strategies and retrieval. In ERP recordings P3a and P3b amplitudes of ALS patients were lower compared with the controls P3a latencies were significantly longer and mean CNV amplitudes were higher. These results indicate subclinical impairment of cognitive functions in patients with ALS. The pattern of cognitive impairment suggests the dysfunction of the frontal network. (C) 2002 Elsevier Science B.V. All rights reserved.
Citation - Scopus: 2
Comparing Deep Neural Networks and Machine Learning for Detecting Malicious Domain Name Registrations
(Institute of Electrical and Electronics Engineers Inc., 2024) Çolhak,F.; Ecevit,M.İ.; Daǧ,H.; Creutzburg,R.
This study highlights the effectiveness of deep neural network (DNN) models, particularly those integrating natural language processing (NLP) and multilayer perceptron (MLP) techniques, in detecting malicious domain registrations compared to traditional machine learning (ML) approaches. The integrated DNN models significantly outperform traditional ML models. Notably, DNN models that incorporate both textual and numeric features demonstrate enhanced detection capabilities. The utilized Canine + MLP model achieves 85.81% accuracy and an 86.46% Fl-score on the MTLP Dataset. While traditional ML models offer advantages such as faster training times and smaller model sizes, their performance generally falls short compared to DNN models. This study underscores the trade-offs between computational efficiency and detection accuracy, suggesting that their superior performance often justifies the added costs despite higher resource requirements, © 2024 IEEE.

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