Araştırma Çıktıları / Scopus
Recent Submissions
-
A hybrid deep learning framework for unsupervised anomaly detection in multivariate spatio-temporal data
Authors:
Publisher and Date:(MDPI AG, 2020)Multivariate time-series data with a contextual spatial attribute have extensive use for finding anomalous patterns in a wide variety of application domains such as earth science, hurricane tracking, fraud, and disease outbreak detection. In most settings, spatial context is often expressed in terms of ZIP code or region coordinates such as latitude and longitude. However, traditional anomaly detection techniques cannot handle more than one contextual attribute in a unified way. In this paper, a ...
-
Homology modeling andin silicodesign of novel and potential dual-acting inhibitors of human histone deacetylases HDAC5 and HDAC9 isozymes
Authors:
Publisher and Date:(2020)Histone deacetylases (HDACs) are a group of enzymes that have prominent and crucial effect on various biological systems, mainly by their suppressive effect on transcription. Searching for inhibitors targeting their respective isoforms without affecting other targets is greatly needed. Some histone deacetylases have no crystal structures, such as HDAC5 and HDAC9. Lacking proper and suitable crystal structure is obstructing the designing of appropriate isoform selective inhibitors. Here in this ...
-
Information cascades, short-selling constraints, and herding in equity markets
Authors:
Publisher and Date:(Borsa İstanbul Anonim Şirketi, 2020)This paper examines the relationship between informed trading and herding in Borsa İstanbul. Our firm-level cross-sectional analysis asserts that informed trading can significantly increase future herding levels. Furthermore, we show that the relationship between informed trading and herding intensifies under short-selling restrictions. Our results confirm the predictions of the informational cascades framework where the individuals disregard their private information to follow others. We show ...
-
Preface: Nova eruptions, cataclysmic variables and related systems: Challenges in the 2020 era
Authors:
Publisher and Date:(Elsevier, 2020)
-
Accretion flows in nonmagnetic white dwarf binaries as observed in X-rays
Authors:
Publisher and Date:(Elsevier, 2020)Cataclysmic Variables (CVs) are compact binaries with white dwarf (WD) primaries. CVs and other accreting WD binaries (AWBs) are useful laboratories for studying accretion flows, gas dynamics, outflows, transient outbursts, and explosive nuclear burning under different astrophysical plasma conditions. They have been studied over decades and are important for population studies of galactic X-ray sources. Recent space- and ground-based high resolution spectral and timing studies, along with recent ...
-
Semantic and syntactic interoperability for agricultural open-data platforms in the context of IoT using crop-specific trait ontologies
Authors:
Publisher and Date:(MDPI AG, 2020)In recent years, Internet-of-Things (IoT)-based applications have been used in various domains such as health, industry and agriculture. Considerable amounts of data in diverse formats are collected from wireless sensor networks (WSNs) integrated into IoT devices. Semantic interoperability of data gathered from IoT devices is generally being carried out using existing sensor ontologies. However, crop-specific trait ontologies-which include site-specific parameters concerning hazelnut as a particular ...
-
Hourly electricity demand forecasting using Fourier analysis with feedback
Authors:
Publisher and Date:(Elsevier, 2020)Whether it be long-term, like year-ahead, or short-term, such as hour-ahead or day-ahead, forecasting of electricity demand is crucial for the success of deregulated electricity markets. The stochastic nature of the demand for electricity, along with parameters such as temperature, humidity, and work habits, eventually causes deviations from expected demand. In this paper, we propose a feedback-based forecasting methodology in which the hourly prediction by a Fourier series expansion is updated ...
-
Efficiency analysis of Black sea container seaports: application of an integrated MCDM approach
Authors:
Publisher and Date:(Routledge, 2020)The current paper carries out an examination about the selection of the proper container seaport, which in the Black sea region. This paper focuses on a research question. Is it possible to apply multi-criteria decision-making methods that can be applied more easily than the DEA technique for decision-makers? In order to determine the best performance analysis technique that can give successful results, two-hybrid multi-criteria decision-making models were selected and operational performances of ...
-
Distinctive communication networks in inactive states of beta(2)-adrenergic receptor: Mutual information and entropy transfer analysis
Authors:
Publisher and Date:(Wiley, 2020)Mutual information and entropy transfer analysis employed on two inactive states of human beta-2 adrenergic receptor (beta(2)-AR) unraveled distinct communication pathways. Previously, a so-called "highly" inactive state of the receptor was observed during 1.5 microsecond long molecular dynamics simulation where the largest intracellular loop (ICL3) was swiftly packed onto the G-protein binding cavity, becoming entirely inaccessible. Mutual information quantifying the degree of correspondence ...
-
Effects of Straits on Hydro-Thermal Performance of Small Bays
Authors:
Publisher and Date:(Turkish Chamber Civil Engineers, 2019)The heated surface jet discharged into a bay which is connected to a larger body of water through a strait may experience bifurcation in the bay and stratification in the strait. The combined effects of bifurcation and stratification may lead to a substantially greater rise in temperature than the rise expected in case of unrestricted receiving body of water. In this study, the behavior of heated effluents discharged into bays with a restricted access to a large body of water is scrutinized ...
-
Reflection increases belief in God through self-questioning among non-believers
Authors:
Publisher and Date:(SOC Judgment & Decision Making, 2019)The dual-process model of the mind predicts that religious belief will be stronger for intuitive decisions, whereas reflective thinking will lead to religious disbelief (i.e., the intuitive religious belief hypothesis). While early research found intuition to promote and reflection to weaken belief in God, more recent attempts found no evidence for the intuitive religious belief hypothesis. Many of the previous studies are underpowered to detect small effects, and it is not clear whether the ...
-
An analysis of price spikes and deviations in the deregulated Turkish power market
Authors:
Publisher and Date:(Elsevier, 2019)The successful operation of a real time market is related to the planning in the day ahead market. We analyze the day ahead and real time market data for the Turkish power market for the period 2012-2015 to classify price spikes and their causes. We also focus on the levels of deviation between the day ahead market values and the real time market values. We define price deviation and load deviation ratios to measure the level of deviation both in price and demand. The analysis for the load is based ...
-
Cinematic Visual Representation of Refugee Journeys in Turkey in the Context of Precarious Class Dynamics
Authors:
Publisher and Date:(Transnational Press London, 2020)In this article, I comparatively analyse the imagery of precarious class through the narration of refugee journeys in Turkey for two different films, with an emphasis on the visuality of cinematic narration. Whilst The Guest Aleppo to Istanbul (2017) by Andac Haznedaroglu and More by Onur Saylak certainly offer different portrayals of refugees in Turkey, both reflect on the precarious class dynamics in the context of migration and reveal the complex interplay of citizenship, meritocracy and ...
-
The critical point of a sigmoidal curve
Authors:
Publisher and Date:(Babeș-Bolyai University, 2020)Let y(t) be a monotone increasing curve with lim(t ->+/-infinity) y((n))(t) = 0 for all n and let t(n) be the location of the global extremum of the nth derivative y((n))(t). Under certain assumptions on the Fourier and Hilbert transforms of y(t), we prove that the sequence {t(n)} is convergent. This implies in particular a preferred choice of the origin of the time axis and an intrinsic definition of the even and odd components of a sigmoidal function. In the context of phase transitions, the ...
-
Development of a supervised classification method to construct 2D mineral maps on backscattered electron images
Authors:
Publisher and Date:(Tubitak, 2020)The Mineral Liberation Analyzer (MLA) can be used to obtain mineral maps from backscattered electron (BSE) images of particles. This paper proposes an alternative methodology that includes random forest classification, a prospective machine learning algorithm, to develop mineral maps from BSE images. The results show that the overall accuracy and kappa statistic of the proposed method are 97% and 0.94, respectively, proving that random forest classification is accurate. The accuracy indicators ...
-
Customer Participation Variation and Its Impact on Customer Service Performance: Underlying Process and Boundary Condition
Authors:
Publisher and Date:(Sage Publications, 2020)Drawing on the customer participation (CP) literature, this research proposes that CP variation is the degree to which employees perceive variability across customers with regard to customers sharing information, time, and effort and making suggestions to enhance the service delivery process and outcome. Drawing on the job demands-resources model, this research explicates the mediating process by which CP variation affects customer service performance and its boundary conditions. Study 1 uses data ...
-
A Multi-Objective Stochastic Model for an Earthquake Relief Network
Authors:
Publisher and Date:(Wiley-Hindawi, 2020)Earthquake relief network involves storage and distribution of relief aid to people in need. In this paper, a new stochastic multi-objective mixed integer mathematical model is developed and implemented in Kadikoy municipality of Istanbul, Turkey in order to configure part of the earthquake relief network. The aim of the model is to help decision makers decide on the locations of storage areas for shelters pre-earthquake and distribution of shelters from these areas to temporary shelter areas ...
-
Tailoring The Electrical and Optical Properties Of Carbon Nanotube Reinforced Transparent TIO2 Composites by Varying Nanotube Concentrations
Authors:
Publisher and Date:(World Scientific, 2020)In the present work, multi-walled carbon nanotube (MWCNT)-doped TiO2 nanocomposite films were synthesized by sol-gel method. The influence of nanotube concentration on the structural, electrical and optical properties of the films was investigated. The beneficial effects of the addition of carbon nanotubes into a TiO2 film and titania-coated MWCNTs have much in common. On the other hand, this work contributes to the previous studies in terms of the optical and electrical properties of MWCNT. For ...
-
Corporate risk-taking in developed countries: The influence of economic policy uncertainty and macroeconomic conditions
Authors:
Publisher and Date:(Elsevier, 2020)Using 74,974 firm-year observations covering 15 developed European countries over the time period 1999-2017, this paper explores the effect of economic policy uncertainty on corporate risk-taking. The findings indicate that firms become more risk averse with an economic policy uncertainty shock. The relationship is valid under idiosyncratic and earnings volatility risk measures, regardless of whether the macroeconomic condition is favorable or not. Moreover, the competition level in the industry ...
-
Fractal dimension and phase transition of graphene oxide (GO) doped polyacrylamide
Authors:
Publisher and Date:(ELSEVIER SCI LTD, 2020)Graphene Oxide (GO)- Polyacrylamide composites prepared between 5 and 50 mu l GO were performed by Fluorescence Spectroscopy. The phase transition performed on the composites was measured by calculating the critical exponents, beta and gamma, respectively. In addition, fractal analysis of the composites was calculated by a fluorescence intensity of 427 nm. The geometrical distribution of GO in the composites was calculated based on the power law exponent values using scaling models. While the ...
RSS 1.0