WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://gcris.khas.edu.tr/handle/20.500.12469/4465

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From Mass Marketing To Personalized Digital Marketing in Tourism: a 2050 Horizon Paper
(Emerald Group Publishing Ltd, 2024) Kozak, Metin; Correia, Antonia
Purpose - The academic background of tourism marketing dates back to the 1960s. There had been a slight increase in its capacity until the early 1990s. However, since then, it has boomed, reaching thousands of scientific journal articles and tens of scientific books published only in English each year. Therefore, this study aims to present how tourism marketing has progressed academically within the past 60 years over four waves and how this progress may move forward as the next wave. Design/methodology/approach - A bibliometric analysis grounds this study, which characterizes the past and present of tourism marketing research and anticipates the future. Content analysis, such as word clouds and social network analysis, was adopted to identify topic clusters and their connections. A total of 9,239 articles published between 1969 and 2024 were extracted from Scopus. Software packages such as VOSviewer were used to determine connections within topics. Findings - The authors have assessed the findings broadly. Four waves were from the late 1960s to the first quarter of 2000. In spite of the limited size of papers at the early stage, the last wave saw a boom and a diversified number and category of subjects studied. In each wave, new subjects were added to broaden the picture. Research limitations/implications - The discussion of findings is based only on those scientific papers published in English since 1969 but excludes the whole list of textbooks. Subsequent research should also consider all papers and textbooks released in different languages to have the broadest picture assessment worldwide. Practical implications - The study conveys various suggestions for industry practitioners and policymakers to focus on carefully assessing trends in marketing tourism services and how these may be shaped shortly. This may help practitioners and policymakers redesign their services and marketing strategies in light of future developments. Originality/value - This study continues a recent study published by Kozak (2023) that has been elaborated, particularly from the industry perspective. The current study examines the academic profile of all subjects investigated in the case of tourism marketing, but mainly in an academic sense. Accordingly, this paper outlines the facts and trends researchers may follow throughout the research frame published in the past six decades.
Botnets Unveiled: a Comprehensive Survey on Evolving Threats and Defense Strategies
(Wiley, 2024) Asadi, Mehdi; Jamali, Mohammad Ali Jabraeil; Heidari, Arash; Navimipour, Nima Jafari
Botnets have emerged as a significant internet security threat, comprising networks of compromised computers under the control of command and control (C&C) servers. These malevolent entities enable a range of malicious activities, from denial of service (DoS) attacks to spam distribution and phishing. Each bot operates as a malicious binary code on vulnerable hosts, granting remote control to attackers who can harness the combined processing power of these compromised hosts for synchronized, highly destructive attacks while maintaining anonymity. This survey explores botnets and their evolution, covering aspects such as their life cycles, C&C models, botnet communication protocols, detection methods, the unique environments botnets operate in, and strategies to evade detection tools. It analyzes research challenges and future directions related to botnets, with a particular focus on evasion and detection techniques, including methods like encryption and the use of covert channels for detection and the reinforcement of botnets. By reviewing existing research, the survey provides a comprehensive overview of botnets, from their origins to their evolving tactics, and evaluates how botnets evade detection and how to counteract their activities. Its primary goal is to inform the research community about the changing landscape of botnets and the challenges in combating these threats, offering guidance on addressing security concerns effectively through the highlighting of evasion and detection methods. The survey concludes by presenting future research directions, including using encryption and covert channels for detection and strategies to strengthen botnets. This aims to guide researchers in developing more robust security measures to combat botnets effectively. Exploring botnets: evolution, tactics, countermeasures. This survey dives into botnets, covering life cycles, communication, and evasion tactics. It highlights challenges and future strategies for combating cyber threats. image
Composite Hydrogel of Polyacrylamide/Starch as a Novel Amoxicillin Delivery System
(Mdpi, 2024) Poyraz, Yagmur; Baltaci, Nisa; Hassan, Gana; Alayoubi, Oubadah; Uysal, Bengu Ozugur; Pekcan, Onder
This study investigates the development and characterization of a novel composite hydrogel composed of polyacrylamide (PAAm), starch, and gelatin for use as an amoxicillin delivery system. The optical properties, swelling behavior, and drug release profile of the composite hydrogel's were studied to evaluate its efficacy and potential applications. UV-visible spectroscopy was employed to determine the optical properties, revealing significant transparency in the visible range, which is essential for biomedical applications. The incorporation of starch and gelatin into the polyacrylamide matrix significantly enhanced the hydrogel's swelling capacity and biocompatibility. Studies on drug delivery demonstrated a sustained release profile of amoxicillin in simulated gastrointestinal fluids, which is essential for maintaining therapeutic levels for a prolonged amount of time. The results indicate that the composite hydrogel of PAAm/starch/gelatin has good swelling behavior, appealing optical characteristics, and a promising controlled drug release mechanism. These results point to this hydrogel's considerable potential as a drug delivery method, providing a viable path toward enhancing the medicinal effectiveness of amoxicillin and maybe other medications.
In the Shadow of War and Empire: Industrialisation, Nation-Building, and Working-Class Politics in Turkey
(Cambridge Univ Press, 2024) Özbek, Müge
[No Abstract Available]
Editorial Boards of Finance Journals: the Gender Gap and Social Networks
(Springer, 2024) Bedowska-Sojka, Barbara; Tarantola, Claudia; Mare, Codruta; Paccagnini, Alessia; Ozturkkal, Belma; Pisoni, Galena; Skaftadotti, Hanna Kristin
We investigate gender disparities and network linkages among editors of Finance journals at the end of 2022. The role of journal editors in shaping academic disciplines is crucial, yet gender imbalances and the geographic concentration of editors remain poorly understood. Ethical considerations arise when examining the representation of women on editorial boards, as these imbalances can impact academic equity and the diversity of perspectives. We examine the gender composition of editorial boards and uncover the network structures among editors, seeking to shed light on the concentration of editorial power and its implications for diversity and inclusion. Our findings reveal that women account for an average of 20% of all editors, with notable variations across countries. Additionally, editorial affiliations are heavily concentrated in the United States and the United Kingdom. Through typological metrics, we identify highly connected editors with significant board memberships. While gender ratios remain consistent in substructures involving highly central editors or those serving on multiple boards, men consistently outnumber women.
Electric Vehicle Selection for Industrial Users Using an Interval-Valued Intuitionistic Fuzzy Copras-Based Model
(Springer, 2024) Görçün, Ömer Faruk; Simic, Vladimir; Kundu, Pradip; Ozbek, Asir; Kucukonder, Hande
According to reports from international bodies such as the World Health Organization and the United Nations, transportation is one of the leading contributors to environmental pollution and climate change. Electric vehicles present a practical solution to reducing emissions, particularly for industrial users. However, industrial users' selection of electric vehicles involves different dynamics than individual users, making it a more complex process for companies. This paper aims to evaluate the selection criteria for electric vehicle fleets among industrial users using a novel multi-criteria decision-making framework based on interval-valued intuitionistic fuzzy sets. The model assesses various factors influencing industrial users' decisions and ranks the available electric vehicle options accordingly. The results indicate that driving range, purchase price, and charging time are the most influential factors in the decision-making process. Furthermore, the findings confirm that the Tesla Model S P100D is the most suitable option for industrial users, given its superior performance in these critical criteria.
The Unlimited Joy, 'once You Start You Can't Stop': Masculinity in Domestic Technology Commercials in Turkey
(Taylor & Francis Ltd, 2024) Karaosmanoglu, Defne; Ata, Leyla Bektas; Emgin, Bahar
Recently, studies have begun examining men's interaction with domestic space to explore changing forms of masculinity and domesticity, arguing that housework has become a leisure activity for men, with domestic technologies serving as tools (toys) for them to engage with. In this article, we explore how men in Turkish television commercials of domestic technologies are portrayed and how these portrayals construct and reconstruct discourses of domesticity and masculinity. We aim to understand men's relationship with masculinity, home and domestic work in these commercials. Alongside leisure and fun, we explore the construction of discourses of masculinity and domesticity through specific themes such as the naughty scientist, the self-seeking purchaser, and the flirtatious chef. We argue that seeing more men on screen does not democratise domesticity since the equal share of workload at home is still far from being realised even in these portrayals. We also argue that domesticity is aestheticized with the participation of men and technology. Finally, women are used as instruments by men in reconstructing their masculinity through heterosexuality.
The Self and the Other: Individual Emotions and Ontological Security in Turkish Foreign Policy
(Sage Publications inc, 2024) Sofuoglu, Nasuh; Sharani, Samer; Ermihan, Erman
Emotions and ontological security open up one of the latest avenues in International Relations (IR). An increasing number of interdisciplinary approaches have been engaging in emotions and ontological security, for example, foreign policy analysis. However, academic research is scarce concerning the triangulation of emotions, foreign policy, and individual ontological security. Driven by the gap in the literature, the study analyzes how Turkey's foreign policy decisions influence individual existentialism in terms of ontological security during the AKP era. A subsidiary question addresses how Turkey's foreign policy decisions adjust/affect individual emotions towards its most engaged and interacted countries. Based on Ontological Security Theory (OST), the study has conducted 20 interviews. The questions cover Turkey's foreign policy milestones: the start of the EU accession negotiations, the "one minute incident," the Mavi Marmara incident, and the Arab Uprisings and the Syrian Civil War. The questions aim to reveal people's emotional reactions to and descriptions of such events. The interview transcripts are analyzed in a Critical Discourse Analysis (CDA) context. Through CDA, the individuals' perceptions of risk, threat, and danger are analyzed to seek the determinants of growing existential uncertainty in tandem with significant foreign policy decisions of the AKP government. This study finds that foreign policy decisions in Turkey impact individuals' emotions based on key events. Through the case of Turkey, the study contributes to the emerging literature on emotions and ontological security by studying the dimensions between foreign policy and individual insecurities and emotions.
The Lügat of İstanbul: Reşad Ekrem Koçu’s re-animation of an urban past
(Cambridge Univ Press, 2024) Hiz, Guerbey
This article focuses on an alphabetically ordered collection titled The L & uuml;gat of & Idot;stanbul Fifty Years Ago, published in 1942 by the prolific Turkish historian and writer Re & scedil;ad Ekrem Ko & ccedil;u. Despite its rich and lesser-known descriptions and stories of & Idot;stanbul's historical spaces, people, and events in each entry with anecdotes, quotes, and comments, the L & uuml;gat has remained relatively unknown. Ko & ccedil;u drew on the memoirs and journalistic essays of Turkish journalist Ahmed Rasim, who vividly captured the essence of the city in his writings during the 1890s. This article examines Ko & ccedil;u's endeavor to establish a methodology for urban historiography by rearranging and re-animating the depictions of the mundane urban past in a new encyclopedic genre, L & uuml;gat, while placing it within the wider framework of urban history literature in & Idot;stanbul. Through a critical analysis of the narratives portraying the perils and pleasures of & Idot;stanbul in the L & uuml;gat, this article illustrates how Ko & ccedil;u's classifications are intertwined with subjective interpretations rather than rational objectifications.
Unveiling the Significance of Individual Level Predictions: a Comparative Analysis of Gru and Lstm Models for Enhanced Digital Behavior Prediction
(Mdpi, 2024) Kiyakoglu, Burhan Y.; Aydin, Mehmet N.
The widespread use of technology has led to a transformation of human behaviors and habits into the digital space; and generating extensive data plays a crucial role when coupled with forecasting techniques in guiding marketing decision-makers and shaping strategic choices. Traditional methods like autoregressive moving average (ARMA) can-not be used at predicting individual behaviors because we can-not create models for each individual and buy till you die (BTYD) models have limitations in capturing the trends accurately. Recognizing the paramount importance of individual-level predictions, this study proposes a deep learning framework, specifically uses gated recurrent unit (GRU), for enhanced behavior analysis. This article discusses the performance of GRU and long short-term memory (LSTM) models in this framework for forecasting future individual behaviors and presenting a comparative analysis against benchmark BTYD models. GRU and LSTM yielded the best results in capturing the trends, with GRU demonstrating a slightly superior performance compared to LSTM. However, there is still significant room for improvement at the individual level. The findings not only demonstrate the performance of GRU and LSTM models but also provide valuable insights into the potential of new techniques or approaches for understanding and predicting individual behaviors.
For Centenary of the Lausanne Treaty Re-Interpretation and Re-Implementation of Linguistic Minority Rights of Lausanne
(Brill, 2024) Akbulut, Olgun
The Treaty of Lausanne was signed on 24th July 1923 as a peace treaty that ended the first world war for Turkey and the allied powers. In a section entitled "protection of minorities", it provides rights for minorities. However, the beneficiaries of minority rights in Lausanne are more narrow than those provided in other treaties and declarations of the time. With a legal basis in domestic law, Turkey traditionally applied the rights provided in the Lausanne Treaty only for three so-called non-Muslim groups, i.e. Greeks, Armenians and Jews. Neither the Turkish delegation nor the members of the allied forces' delegations could foresee that some members of the Muslim groups of 1923 might quit Islam in the future and recourse to Lausanne rights as new beneficiaries. This article, by referring to preparatory works of the Treaty, examining its legal validity internationally and nationally, and applying interpretative principles of international treaties, argues for the extension of Lausanne rights to other groups via re-interpretation and re-implementation.
List Coloring Based Algorithm for the Futoshiki Puzzle
(Ramazan Yaman, 2024) Sen, Banu Baklan; Diner, Oznur Yasar
Given a graph G = ( V, E ) and a list of available colors L ( v ) for each vertex v is an element of V , where L ( v ) subset of {1,2, . . . , k }, LIST k-COLORING refers to the problem of assigning colors to the vertices of G so that each vertex receives a color from its own list and no two neighboring vertices receive the same color. The decision version of the problem, LIST k-COLORING, is NP-complete even for bipartite graphs. As an application of list coloring problem we are interested in the Futoshiki Problem. Futoshiki is an NP-complete Latin Square Completion Type Puzzle. Considering Futoshiki puzzle as a constraint satisfaction problem, we first give a list coloring based algorithm for it which is efficient for small boards of fixed size. To thoroughly investigate the efficiency of our algorithm in comparison with a proposed backtracking-based algorithm, we conducted a substantial number of computational experiments at different difficulty levels, considering varying numbers of inequality constraints and given values. Our results from the extensive range of experiments indicate that the list coloring-based algorithm is much more efficient.
Modeling the Dependency Structure Between Quality Characteristics in Multi-Stage Manufacturing Processes With Copula Functions
(Ramazan Yaman, 2024) Toktas, Pelin; Gebizlioglu, Omer Lutf
This study is about multi-stage manufacturing processes and their control by statistical process control modeling. There are two kinds of dependence structures in a multi-stage manufacturing process: one is the dependence between the stages of the process, and the other is the dependence between the concerned quality characteristics. This study employs state-space models to demonstrate the dependency structure between the process stages and uses the Kalman filter method to estimate the states of the processes. In this setup, copula modeling is proposed to determine the dependence structure between the quality characteristics of interest. A simulation study is conducted to assess the model's accuracy. As a result, it was found that the model gives highly accurate predictions according to the mean absolute percentage error (MAPE) criteria (<10%).
Predictive Maintenance Analysis for Industries
(Ieee, 2024) Arsan, Taner; Arsan, Taner
In this paper, we are focused on deriving conclusions from sensor parameter data that would enable the detection of potential faults and the prediction of failures. We used Random Forest, Decision Tree, Naive Bayes, Logistic Regression, Support Vector Machine, and Long Short-Term Memory models to predict faults for sensor data. This analysis, which predicts the failure, has been examined through the pump sensor dataset from Kaggle. It is a binary classification problem, and it performs time series analysis using historical pump sensor data to predict future observations and classify them into a positive label (normal) or a negative label (broken). The pump system must be in perfect condition to ensure continuous power supply. A failure of one of the pumps in the system can lead to a temporary drop in power generation and even a complete outage. This may be avoided if failures are predicted in advance. Therefore, it is important to anticipate failure early to avoid large financial losses. Predictive maintenance is beneficial for industries to prevent these faults and losses. Despite expectations, the Random Forest algorithm outperforms LSTM, followed by Decision Trees. Support Vector Machine and Naive Bayes algorithms show inferior performance compared to Random Forest and LSTM.
Tolerance of Uncontrollability and Psychopathology: the Role of Maladaptive Emotion Regulation
(Springer/plenum Publishers, 2024) Sener, Gamze; Altan-Atalay, Ayse
BackgroundTolerance of uncontrollability (TOU) can be defined as the ability to endure the discomfort resulting from uncontrollable events. In the absence of perceived control, people utilize strategies that regulate and enhance the inner perception of control. Repetitive negative thinking (RNT) and thought suppression (TS) are some of the strategies that give illusory control in the short term. However, many studies revealed that these strategies increase distress in the long term. The present study aimed to explore the relationship between TOU, RNT, TS, depression, and anxiety. It was anticipated that TOU would be associated with both depression and anxiety, and RNT and TS would mediate these relationships.MethodA sample of 448 participants aged between 17 and 56 (80.4% females) completed measures assessing TOU, RNT, TS, depression, and anxiety.ResultsFindings showed that higher levels of TOU were associated with low levels of depression and anxiety, however when anxiety was controlled, the correlation with depression disappeared. While RNT was the mediator in both outcomes, TS only mediated the relationship between TOU and anxiety.ConclusionsThe current study emphasizes that TOU can be a concept specific to anxiety and highlights one of the mechanisms behind TOU and psychological distress.
Citation Count: 0
Comparing Deep Neural Networks and Machine Learning for Detecting Malicious Domain Name Registrations
(Ieee, 2024) Ecevit, Mert İlhan; Dağ, Hasan; Dag, Hasan; Creutzburg, Reiner
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% F1-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.
Citation Count: 0
Energy Management in Organized Industrial Zones: Promoting the Green Energy Transition in Turkish Manufacturing Industry
(Ieee, 2024) Ediger, Volkan S.; Kucuker, Mehmet Ali; Berk, Istemi; Inan, Ali; Uctug, Fehmi Gorkem; 0
Organized Industrial Zones (OIZ), which gained legal status by Law 4562 of 2000, played a significant role in Turkish industrialization policies, particularly in improving Small and Medium-sized Enterprises (SMEs). The energy management (EM) within OIZs is essential for Turkiye's green transition and 2053 net-zero pathway. Following the publication of a directive on OIZ's electricity market activities in 2006, enterprises can purchase electricity directly from OIZ management. Moreover, the Energy Efficiency Law No. 5627 of 2007 required OIZs to establish an energy management unit (EMU) to serve the participants with less than 1000 tons of oil equivalent (toe) energy consumption. EMUs provide OIZ management with a unique opportunity to enhance sustainable energy transition by increasing renewable energy production and improving the energy efficiency of participating enterprises. The primary goal of this research is to evaluate the effectiveness of energy management units in OIZs in encouraging energy efficiency and green energy transition in the Turkish manufacturing industry. As a case study, we examine EM in the Adana Haci Sabanci Organized Industrial Zone (Adana OIZ), which ranks third among OIZs regarding electricity consumption. We analyze data on electricity infrastructures, roof-top PVs, invoice settlements/offsets, energy efficiency investments, and GHG emissions between 2017 and 2023. Our preliminary findings suggest that EMU in the Adana OIZ makes a very important contribution to the green transition of industrial establishments and that regulatory changes over the last decades have had positive effects. The share of renewable energy in the total energy mix increased from 1.6% to 21.4% over six years, and there has been a noteworthy enhancement in energy efficiency, reaching 27% in 22 companies evaluated. The main policy implication of our findings is that the role of regulatory bodies and efficient energy management in OIZs will be critical in achieving Turkiye's net zero target of 2053.
Citation Count: 0
Energy Management To Provide Multiple Services From Battery To Grid
(Ieee, 2024) Ceylan, Oğuzhan; Zehir, Alparslan; Zanaj, Elma; Ceylan, Oguzhan
Batteries may provide ancillary services to the power network and thus can be used as a energy storage tool. In this paper, we examine the income of the battery owner, the amount of energy drawn from the battery, and the amount of change in the state of the charge (SOC) by considering different cases. For this aim, our study uses real data of frequency, voltage, load, energy market prices and house power production and consumption profiles. From the simulation results obtained we observe that the profit that battery owners can make as a result of using these services is of great importance for the energy market of the future and the battery to grid system is crucial solution for minimizing problems caused by abnormal frequency, voltage, load, etc. in the network.
Citation Count: 0
The Gtp-Tubulin Cap Is Not the Determinant of Microtubule End Stability in Cells
(Amer Soc Cell Biology, 2024) Cassidy, Anna; Farmer, Veronica; Arpa, Goker; Zanic, Marija
Microtubules are dynamic cytoskeletal polymers essential for cell division, motility, and intracellular transport. Microtubule dynamics are characterized by dynamic instability-the ability of individual microtubules to switch between phases of growth and shrinkage. Dynamic instability can be explained by the GTP-cap model, suggesting that a "cap" of GTP-tubulin subunits at the growing microtubule end has a stabilizing effect, protecting against microtubule catastrophe-the switch from growth to shrinkage. Although the GTP-cap is thought to protect the growing microtubule end, whether the GTP-cap size affects microtubule stability in cells is not known. Notably, microtubule end-binding proteins, EBs, recognize the nucleotide state of tubulin and display comet-like localization at growing microtubule ends, which can be used as a proxy for the GTP-cap. Here, we employ high spatiotemporal resolution imaging to compare the relationship between EB comet size and microtubule dynamics in interphase LLC-PK1 cells to that measured in vitro. Our data reveal that the GTP-cap size in cells scales with the microtubule growth rate in the same way as in vitro. However, we find that microtubule ends in cells can withstand transition to catastrophe even after the EB comet is lost. Thus, our findings suggest that the presence of the GTP-cap is not the determinant of microtubule end stability in cells.
Citation Count: 0
Use of octopus 2 stabilization system for off-pump coronary artery bypass grafting
(Medimond S R L, 2000) Güden, M; Akpmar, B; Sagbas, E; Sanisoglu, I; Aytekin, V; Bayindir, O
The early results of 126 off pump CABG procedures performed through a median sternotomy incision (OPCAB) during a period of 18 months were evaluated. The mean age was 69+/-4.3 years. There were 80 male and 46 female patients. Emergency cases and reoperations were not included. A total of 268 anatomosis were performed with a mean number of 2.12 anastomosis Per patient. Conduits used were: LITA (100%), RITA (11.1%) GSV in (84%) and radial artery in (31%) of cases. In 72% of the cases, off pump surgery was chosen because of patient risk factors such as atherosclerotic aortic disease, previous CVA or carotid artery disease, renal dysfunction, malignancy and poor LV function. There was no operative mortality. One month mortality was 3 patients (2.3%). Two died because of mesentheric ischemia. 71 patients had a control angiogram before discharge. The patency of LITA anastomosis was 100% while overall patency rate was 95%. In 43 patients were an angiogram could not be performed, a Thalium 201 stress test was performed 3 months postoperatively. 38 had a normal test while 5 patients showed signs of ischemia. These patients had a control angiogram, in four patients anastomosis were patent, but in one patient tere was a severe narrowing of a venous anastomosis to the distal right coronary which was corrected with angioplasty. In the whole series 8 patients refused to have any control examination (6.3%). Our early results suggest that off pump CABG with Octopus stabilisation can be a good alternative in high risk patients who need multiple vessel revascularisation.

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