Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed

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Citation - WoS: 4
Citation - Scopus: 5
16s Bacterial Metagenomic Analysis of Herby Cheese (otlu Peynir) Microbiota
(Istanbul Univ-cerrahpasa, 2021) Sudağıdan, Mert; Yurt, Mediha Nur Zafer; Taşbaşı, Behiye Büşra; Acar, Elif Esma; Ömeroğlu, Esra Ersoy; Uçak, Samet; Aydın, Ali
Cheese microbiota may contain various bacterial species due to the use of different types of milk, rennet, and herbs. In this study, the distribution of the dominant bacteria present in the microbiota of herby cheese samples (n = 13) were examined by the next generation sequencing (NGS) technique. DNA was extracted both directly from cheese samples and after pre-enrichment. The metagenomic analysis of the NGS results revealed that Firmicutes were dominant both in DNA directly extracted from herby cheese (KOP), and pre-enriched samples (OP), at the phylum level. At the genus level, Lactobacillus, Lactococcus, and Streptococcus were dominant in the KOP samples, whereas in the OP samples, Enterococcus, Streptococcus, and Bacillus were determined as the dominant bacterial genera. Although Lactococcus raffinolactis and Streptococcus salivarius were dominant in the KOP samples, Enterococcus faecalis and S. salivarius were dominant in the OP samples. The Shannon species diversity index and principal coordinates analysis (PCoA) were used to determine the distribution in KOP and OP samples at the genus level. The PCoA of KOP-10, KOP-11, KOP-2, and KOP-7, KOP-3, and KOP-6 samples showed the wide distribution, whereas KOP-5, KOP-8, KOP-9, and KOP-14 herby cheese samples were closely related. The OP samples, especially OP-7 and OP-14, showed wide distribution in comparison to other OP samples. Finally, the dominant bacterial communities were identified by DNAbased metagenomic analysis, and this is the first report to elucidate the microbiota of herby cheese produced in Turkey using the NGS technique.
Citation - Scopus: 2
4-Stage Target Detection Approach in Hyperspectral Images
(IEEE Computer Society, 2018) Ozdil,O.; Gunes,A.; Esin,Y.E.; Ozturk,S.; Demirel,B.
Practical target detection systems require an automatic way to detect targets with high accuracy. Detection errors is not tolerable and they should be reduced as much as possible. In classical detection systems, generally single target detection algorithm is performed and the result will be evaluated according to the thresholding techniques. However, in these uncontrolled systems, false alarm rate strongly depends on the thresholding technique success. It is very hard to find a general and constant threshold value for images taken at different conditions and practical detection systems needs reliable threshold value. In this paper, we propose a new multi-stage target detection system which is the combination of different detection algorithms and thresholding technique. This system compose of 4-stages, i.e. namely 1-initial target detection (ACE, GLRT), 2-adaptive Constant False Alarm Rate (CFAR) thresholding, 3-spatially grouping, 4-statistical confidence operation. This system configuration removes the need for interactive user and it automatically implements confirmation and rejection steps. Moreover, this system can be used both for pure pixel and subpixel target detection purposes and it reduces computational processing time considerably with the implementation of consequtive processing stages. © 2018 IEEE.
A Class of Shock Models for a System That Is Equipped With a Protection Block With an Application to Wind Turbine Reliability
(Wiley, 2025) Eryilmaz, Serkan
This paper studies a class of shock models for a system that is equipped with a protection block that has its own failure rate. Under the considered class, the system exposed to shocks at random times is protected by the protection block, and the probability of the shock damaging the system varies depending on whether the protection block operates or not. The system failure criteria is defined based on the pattern of the critical/damaging shocks. Exact expressions for the reliability and mean time to failure of the system are obtained, and detailed computations are presented for the run shock model, which is included in the class. The application of the extreme shock model, which is included in the relevant class, to wind turbine reliability is also discussed.
A Comprehensive Study of Space Efficiency in Tall Buildings: The Australian Perspective
(Kauno Technologijos Universitetas, 2025) Ilgın, H.; Aslantamer, Ö.
Spatial efficiency in Australian towers is shaped by a multifaceted interaction of many parameters such as architectural and structural considerations. However, there are no comprehensive studies available on space utilization in Australian high-rise towers. The article addresses this gap by investigating 32 case studies. This study aims to investigate how contemporary Australian tall buildings achieve spatial efficiency by analyzing the relationship between architectural and structural parameters and internal usable area ratios. Key findings: residential function, centrally-located core layouts, and prismatic arrangements are the most widespread trends; concrete is the favored construction material, with the shear-walled frame system being the most commonly used structural system; average space efficiency is 82%, with a core-to-GFA ratio of 16%. The paper offers valuable understandings for construction experts to inform design decisions in high-rise construction projects within the Australian context. © 2025, Kauno Technologijos Universitetas. All rights reserved.
Citation - WoS: 9
Absorption and Optical Conduction in Inse/Znse Thin Film Transistors
(World Scientific Publ Co Pte Ltd, 2016) Al Garni, S. E.; Qasrawi, A. F.
In this work, (n)InSe/(p)ZnSe and (n)InSe/(p)ZnSe/(n)InSe heterojunction thin film transistor (TFT) devices are produced by the thermal evaporation technique. They are characterized by means of X-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersion X-ray spectroscopy and optical spectroscopy techniques. While the InSe films are found to be amorphous, the ZnSe and InSe/ZnSe films exhibited polycrystalline nature of crystallization. The optical analysis has shown that these devices exhibit a conduction band offsets of 0.47 and valence band offsets of 0.67 and 0.74 eV, respectively. In addition, while the dielectric spectra of the InSe and ZnSe displayed resonance peaks at 416 and 528 THz, the dielectric spectra of InSe/ZnSe and InSe/ZnSe/InSe layers indicated two additional peaks at 305 and 350 THz, respectively. On the other hand, the optical conductivity analysis and modeling in the light of free carrier absorption theory reflected low values of drift mobilities associated with incident alternating electric fields at terahertz frequencies. The drift mobility of the charge carrier particles at femtoseconds scattering times increased as a result of the ZnSe sandwiching between two InSe layers. The valence band offsets, the dielectric resonance at 305 and 350 THz and the optical conductivity values nominate TFT devices for use in optoelectronics.
Citation - Scopus: 3
Achieving Success in Supply Chain Management Software by Agility
(Springer Verlag, 2007) Mishra,D.; Mishra,A.
Supply chain management is comprehensive software. Due to its scope and unpredictable, complex and unstable requirements, it is not possible to develop it with predictable development process models. Agile methodologies are targeted towards such kind of problems that involves change and uncertainty, and are adaptive rather than predictive. The aim of this paper is to analyze the management and development methodologies used in development of supply chain management software. This paper shows how to overcome risks and handicaps in each development phase of a complex inventive project. It also provides a set of guidelines regarding how the agile methods may be adopted, combined and used in these kinds of projects. © Springer-Verlag Berlin Heidelberg 2007.
Citation - WoS: 2
Achieving Success in Supply Chain Management Software by Agility
(Springer-verlag Berlin, 2007) Mishra, Deepti; Mıshra, Deepti; Mishra, Alok; Mıshra, Alok; Mıshra, Deepti; Mıshra, Alok; Computer Engineering; Software Engineering; Computer Engineering; Software Engineering
Supply chain management is comprehensive software. Due to its scope and unpredictable, complex and unstable requirements, it is not possible to develop it with predictable development process models. Agile methodologies are targeted towards such kind of problems that involves change and uncertainty, and are adaptive rather than predictive. The aim of this paper is to analyze the management and development methodologies used in development of supply chain management software. This paper shows how to overcome risks and handicaps in each development phase of a complex inventive project. It also provides a set of guidelines regarding how the agile methods may be adopted, combined and used in these kinds of projects.
Citation - WoS: 14
Citation - Scopus: 15
Activation Energy of Metastable Amorphous Ge₂sb_{2< From Room Temperature To Melt}
(Amer inst Physics, 2018) Muneer, Sadid; Scoggin, Jake; Dirisaglik, Faruk; Adnane, Lhacene; Cywar, Adam; Bakan, Gokhan; Gokirmak, Ali
Resistivity of metastable amorphous Ge2Sb2Te5 (GST) measured at device level show an exponential decline with temperature matching with the steady-state thin-film resistivity measured at 858 K (melting temperature). This suggests that the free carrier activation mechanisms form a continuum in a large temperature scale (300 K - 858 K) and the metastable amorphous phase can be treated as a supercooled liquid. The effective activation energy calculated using the resistivity versus temperature data follow a parabolic behavior, with a room temperature value of 333 meV, peaking to similar to 377 meV at similar to 465 K and reaching zero at similar to 930 K, using a reference activation energy of 111 meV (3k(B)T/2) at melt. Amorphous GST is expected to behave as a p-type semiconductor at T-melt similar to 858 K and transitions from the semiconducting-liquid phase to the metallic-liquid phase at similar to 930 K at equilibrium. The simultaneous Seebeck (S) and resistivity versus temperature measurements of amorphous-fcc mixed-phase GST thin-films show linear S-T trends that meet S = 0 at 0 K, consistent with degenerate semiconductors, and the dS/dT and room temperature activation energy show a linear correlation. The single-crystal fcc is calculated to have dS/dT = 0.153 mu V/K-2 for an activation energy of zero and a Fermi level 0.16 eV below the valance band edge. (C) 2018 Author(s).
Citation - WoS: 1
Adapting Test-Driven Development for Innovative Software Development Project
(Springer-verlag Berlin, 2007) Mishra, Deepti; Mishra, Alok
In Test-Driven development, first test is made according to the customer requirement and then code is prepared to execute this test successfully. In this approach, design is not done exclusively before preparing test cases and coding. Design emerges as software evolves but this may result in lack of design quality. We adapted TDD by incorporating exclusive architectural design phase in the successful implementation of an innovative, large scale, complex project.
Adapting Test-Driven Development for Innovative Software Development Project
(Springer Verlag, 2007) Mishra,D.; Mishra,A.
In Test-Driven development, first test is made according to the customer requirement and then code is prepared to execute this test successfully. In this approach, design is not done exclusively before preparing test cases and coding. Design emerges as software evolves but this may result in lack of design quality. We adapted TDD by incorporating exclusive architectural design phase in the successful implementation of an innovative, large scale, complex project. © Springer-Verlag Berlin Heidelberg 2007.
Citation - WoS: 15
Citation - Scopus: 16
Adopting of Agile Methods in Software Development Organizations: Systematic Mapping
(Assoc information Communication Technology Education & Science, 2017) Abdalhamid, Samia; Mishra, Alok
Adoption of agile methods in the software development organization is considered as a powerful solution to deal with the quickly changing and regularly developing business environment and fully-educated customers with constantly rising expectation, such as shorter time periods and an extraordinary level of response and service. This study investigates the adoption of agile approaches in software development organizations by using systematic mapping. Six research questions are identified, and to answer these questions a number of research papers have been reviewed in electronic databases. Finally, 25 research papers are examined and answers to all research questions are provided.
Advances on Multivalued Operators and Related Fixed Point Problems
(Hindawi Publishing Corporation, 2014) Chen, Chi-Ming; Karapinar, Erdal; Du, Wei-Shih; Aydi, Hassen; Romaguera, Salvador
[No Abstract Available]
Afthd: Bayesian Accelerated Failure Time Model for High-Dimensional Time-To Data
(Springernature, 2025) Kumari, Pragya; Bhattacharjee, Atanu; Vishwakarma, Gajendra K.; Tank, Fatih
Analyzing high-dimensional (HD) data with time-to-event outcomes poses a formidable challenge. The accelerated failure time (AFT) model, an alternative to the Cox proportional hazard model in survival analysis, lacks sufficient R packages for HD time-to-event data under the Bayesian paradigm. To address this gap, we develop the R package afthd. This tool facilitates advanced AFT modeling, offering Bayesian analysis for univariate and multivariable scenarios. This work includes diagnostic plots and an open-source R code for working with HD data, extending the conventional AFT model to the Bayesian framework of log-normal, Weibull, and log-logistic AFT models. The methodology is rigorously validated through simulation techniques, yielding consistent results across parametric AFT models. The application part is also performed on two different real HD liver cancer datasets, which reveals the proposed method's significance by obtaining inferences for survival estimates for the disease. Our developed package afthd is competent in working with HD time-to-event data using the conventional AFT model along with the Bayesian paradigm. Other aspects, like missing values in covariates within HD data and competing risk analysis, are also covered in this article.
AI Trustworthiness and Student Pilots: Exploring Attitudes, Anxieties, and Adaptation Performance
(Elsevier B.V., 2025) Ceken, S.; Yilmaz, A.A.; Acar, A.B.
This research explores the attitudes of student pilots toward artificial intelligence (AI) applications within the aviation sector, with a focus on their adaptation processes and potential challenges. The recent release of the "EASA AI Roadmap 2.0"by the European Union Aviation Safety Agency (EASA) underscores the growing impact of AI on aviation, driving the emergence of new business models and emphasizing a human-centric approach to AI integration within the aviation industry. This study addresses a significant gap in the literature by examining student pilots' perspectives on AI, specifically focusing on AI trustworthiness, attitudes, anxieties, and adaptation performance. The study utilizes a quantitative research approach, collecting data from 150 student pilots through surveys. Preliminary results from 106 respondents indicate varied attitudes toward AI, with significant implications for AI-supported cockpit assistant systems and the broader aviation industry. The study sample consisted of 106 (Mage = 23.6, SDage= 4.64; 79% male) student pilots from of university pilot training departments and various flight school in Turkey. Collected data were analyzed on SPSS 29. The study revealed that Sociotechnical Blindness AI anxiety is a significant predictor of general attitudes toward AI among student pilots. This finding suggests that higher levels of anxiety related to the perceived complexity and potential unintended consequences of AI are associated with more positive general attitudes toward AI. The findings emphasize the need for a human-centric approach to AI integration, highlighting the importance of trust, transparency, and adaptive training in the successful adoption of AI technologies in aviation. © 2024 The Authors. Published by ELSEVIER B.V.
Alara, Türkiye Denizel Alanında Sediman Taşınımının Modellenmesi
(2016) Genç, Aslı Numanoğlu
Kıyı bölgelerinde yapılacak olan kıyı yapılarının kıyı morfolojisi üzerindeki etkilerini incelemek amacıyla fiziksel modeller ve sayısal modeller (sayısal benzeştirmeler) uygulanmaktadır. Sayısal modeller yardımıyla uzun süreli ölçülmüş rüzgâr hızları kullanılarak tahmin edilen dalga yüksekliği değerleri akıntı ve kıyı boyu sediman taşınım miktarlarının benzeştirilmesinde veri olarak kullanılmaktadır. Bu çalışmada, Alara Çayının Antalya Körfezine bağlandığı kıyı bölgesinde meydana gelen taşınım olaylarının nedenlerini incelemek için HYDROTAM 3D modeli kullanılarak, çalışma sahası ile çevresindeki kıyı bölgesinde, rüzgar ve dalga etkenli kıyısal akıntı düzeni ve kıyı boyu sediman taşınımı modellenmiştir. Rüzgar ve dalga iklimi çalışmalarında Alanya Meteoroloji İstasyonunun 1970-2011 yılları arası saatlik ortalama rüzgar hızları kullanılmıştır. Modelleme sonucu, kıyı boyu sediman taşınımının BatıKuzeyBatı (WNW)DoğuGüneyDoğu (ESE) doğrultusunda gerçekleştiğini göstermektedir. Çalışma bölgesinde, yıllık denizel net sediman taşınım miktarının 22237 m olduğu sonucuna varılmıştır.
Alevilik ve Etkileşim İçine Girdiği Kültürel Yapılar Açısından \"Pervane\" Kavramının İrdelenmesi
(2011) Güray, Cenk; Şimşek, Erdem
Pervane kavramı halk ve divan edebiyatlarında kullanılan önemli bir mazmun olmasının yanında, Anadolu’ya has “Bâtıni” temelli inanç sistemlerinin aktarım için ihtiyaç duyduğu ifade gücüne sahip bir sembol olarak dikkat çekmektedir. Pervane kavramının bu edebi ve Bâtıni kökler temel alınarak irdelenmesi Alevilik, Bektaşilik ve onlarla tarihsel temelde etkileşim kurmuş Mevlevilik gibi inanç sistemlerinin anlam dünyasının daha derinlemesine anlaşılmasını sağlarken, semah ve semâ gibi ibadet geleneklerinin nasıl bir kültürel bağlam üzerine yapılandığının daha rahat anlaşılmasını da sağlayacaktır. Pervane kavramının semah ve semâ ibadetleri kapsamındaki kullanım özellikleri, bu ibadetlerin arka planında yer alan felsefi yaklaşımlarla yoğun bir ilişki kurmaktadır. Bu yönüyle pervane kavramının incelenmesi, vahdet-i mevcut felsefesi ile semah kavramının bağlantılarının irdelenmesine yardımcı olurken aynı zamanda vahdet-i vücûd felsefesi ile de semâ kavramının bağlantılarının daha detaylı şekilde irdelenmesine olanak sağlayacaktır. Böylelikle pervane kavramının ışığı altında, edebiyat, müzik ve din ekseninde Anadolu insanının kültürel kimliğine, din ve tanrı algısına ilişkin çok değerli bilgilere ulaşmak mümkün olacaktır.
Citation - WoS: 1
Citation - Scopus: 1
An Alternative View of Ecotourism With a Specific Reference To Turkey
(Springer international Publishing Ag, 2016) Erdogan, Nazmiye; Erdogan, Irfan
[No Abstract Available]
Citation - Scopus: 30
Amine-Functionalized Graphene Nanosheet-Supported Pdauni Alloy Nanoparticles: Efficient Nanocatalyst for Formic Acid Dehydrogenation
(Royal Society of Chemistry, 2018) Bulut,A.; Yurderi,M.; Kaya,M.; Aydemir,M.; Baysal,A.; Durap,F.; Zahmakiran,M.
Formic acid (HCOOH), a major by-product of biomass processing with high energy density, stability and non-toxicity, has a great potential as a safe and a convenient liquid hydrogen (H2) storage material for combustion engines and fuel cell applications. However, high-purity hydrogen release from the catalytic decomposition of aqueous formic acid solution at desirable rates under mild conditions stands as a major challenge that needs to be solved for the practical use of formic acid in on-demand hydrogen generation systems. Described herein is a new nanocatalyst system comprised of 3-aminopropyltriethoxysilane-functionalized graphene nanosheet-supported PdAuNi alloy nanoparticles (PdAuNi/f-GNS), which can reproducibly be prepared by following double solvent method combined with liquid-phase chemical reduction, all at room temperature. PdAuNi/f-GNS selectively catalyzes the decomposition of aqueous formic acid through the dehydrogenation pathway (∼100% H2 selectivity), in the absence of any promoting additives (alkali formates, Brønsted bases, Lewis bases, etc.). PdAuNi/f-GNS nanocatalyst provides CO-free H2 generation with a turnover frequency of 1090 mol H2 mol metal−1 h−1 in the additive-free dehydrogenation of formic acid at almost complete conversion (≥92%) even at room temperature. The catalytic activity provided by PdAuNi/f-GNS nanocatalyst is higher than those obtained with the heterogeneous catalysts reported to date for the additive-free dehydrogenation of formic acid. Moreover, PdAuNi/f-GNS nanoparticles show high durability against sintering, clumping and leaching throughout the catalytic runs, so that the PdAuNi/f-GNS nanocatalyst retains almost its inherent catalytic activity and selectivity at the end of the 10th recycle. © The Royal Society of Chemistry and the Centre National de la Recherche Scientifique.
Citation - WoS: 29
Amine-Functionalized Graphene Nanosheet-Supported Pdauni Alloy Nanoparticles: Efficient Nanocatalyst for Formic Acid Dehydrogenation
(Royal Soc Chemistry, 2018) Bulut, Ahmet; Yurderi, Mehmet; Kaya, Murat; Aydemir, Murat; Baysal, Akin; Durap, Feyyaz; Zahmakiran, Mehmet
Formic acid (HCOOH), a major by-product of biomass processing with high energy density, stability and non-toxicity, has a great potential as a safe and a convenient liquid hydrogen (H-2) storage material for combustion engines and fuel cell applications. However, high-purity hydrogen release from the catalytic decomposition of aqueous formic acid solution at desirable rates under mild conditions stands as a major challenge that needs to be solved for the practical use of formic acid in on-demand hydrogen generation systems. Described herein is a new nanocatalyst system comprised of 3-aminopropyltriethoxysilane-functionalized graphene nanosheet-supported PdAuNi alloy nanoparticles (PdAuNi/f-GNS), which can reproducibly be prepared by following double solvent method combined with liquid-phase chemical reduction, all at room temperature. PdAuNi/f-GNS selectively catalyzes the decomposition of aqueous formic acid through the dehydrogenation pathway (similar to 100% H-2 selectivity), in the absence of any promoting additives (alkali formates, Bronsted bases, Lewis bases, etc.). PdAuNi/f-GNS nanocatalyst provides CO-free H-2 generation with a turnover frequency of 1090 mol H-2 mol metal(-1) h(-1) in the additive-free dehydrogenation of formic acid at almost complete conversion (>= 92%) even at room temperature. The catalytic activity provided by PdAuNi/f-GNS nanocatalyst is higher than those obtained with the heterogeneous catalysts reported to date for the additive-free dehydrogenation of formic acid. Moreover, PdAuNi/f-GNS nanoparticles show high durability against sintering, clumping and leaching throughout the catalytic runs, so that the PdAuNi/f-GNS nanocatalyst retains almost its inherent catalytic activity and selectivity at the end of the 10th recycle.
Citation - WoS: 1
The Amplification of the New Keynesian Models and Robust Optimal Monetary Policy
(Amer inst Mathematical Sciences-aims, 2020) Ozcan, Gulserim
This paper analyzes whether and how model uncertainty affects the amplification mechanism of the New Keynesian models in a simple min-max framework where the central bank plays a zero-sum game versus a hypothetical, evil agent. A first finding on a benchmark model with staggered price setting is that a robust optimal commitment policy necessitates more aggressive policy under a demand shock. Further, bringing additional persistence into the model deteriorates the effectiveness of monetary policy. Hence, allowing for either habit formation or partial indexation of prices to lagged inflation rate requires a stronger response for the policy to a demand shock. Together with the specification doubts, in order to reassure the private sector and signal that it will stabilize the fluctuations in the output gap, the policymaker reacts more aggressively as persistence rises. Although inflation persistence does not change the impact of model uncertainty, habit formation in consumption eliminates even reverses the impact of uncertainty on the policy reaction to a supply shock. In all cases, policymaker attributes less importance to nominal interest rate inertia with concerns about model uncertainty.

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