WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7150
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Article Brewing Property in Onedimensional City? Exploring Starbucks' Locational Strategies-Impacts in the Case of Izmir, Türkiye(University Cueca, 2026) Coskun, Yagmur Asci; Penpencioglu, MehmetThe article examines Starbucks'locational strategies and their impact on urban spaces, drawing on Rossi's concept of the "one-dimensional city." As global brands increasingly shape urban environments, three key effects emerge: rising property prices near stores, the concentration of locations in malls, transit hubs, and walkable areas, and alignment with urban landscapes standardized by major transportation infrastructure decisions. Similar to many cities in the Global South, Starbucks in & Idot;zmir functions both as a product and a driver of property-driven, rent-seeking urban development.Empirical evidence reveals that its locational strategies enhance accessibility, increase property values, and reshape the built environment. Through spatial analysis, the article examines Starbucks locations within a walkability and accessibility framework, highlighting their concentration in high-value districts with strong public transit connections.This research underscores how global brands reinforce socio-economic divides, transform urban spaces, and promote consumption-driven urbanization through their integration into global capitalism and real estate dynamics.Conference Object Citation - Scopus: 1Binet–Fibonacci Calculus and N = 2 Supersymmetric Golden Quantum Oscillator(Springer International Publishing AG, 2025) Pashaev, Oktay K.The Binet-Fibonacci calculus, as phi phi'-two base quantum calculus, relates Fibonacci derivative with Binet formula of Fibonacci number operator, acting in Fock space of quantum states. It provides a tool to study the Golden oscillator with energy spectrum in form of Fibonacci numbers. Here we generalize this model to supersymmetric number operator and corresponding Binet formula for supersymmetric Fibonacci operator F-N. It determines the Hamiltonian of supersymmetric Golden oscillator, acting in. H-f circle times H-b-fermion-boson Hilbert space and belonging to N = 2 supersymmetric algebra. Trace on fermions of this model reduces the Hamiltonian to the Golden oscillator. The eigenstates of the super Fibonacci number operator are double degenerate and can be characterized by a point of the super-Bloch sphere. By the supersymmetric Fibonacci annihilation operator, we construct the coherent states as eigenstates of this operator. Entanglement of fermions with bosons in these states is calculated by the concurrence, represented by the Gram determinant and Fibonacci exponential functions. These functions have been appeared as descriptive for inner product of the Golden coherent states in Fock-Bargmann representation. The reference state, coming from the limit alpha -> 0 and corresponding von Neumann entropy, measuring fermion-boson entanglement, are characterized by the Golden ratio.Conference Object Geometry and Entanglement of Super-Qubit Quantum States(Springer International Publishing AG, 2025) Pashaev, Oktay K.; Kocak, AygulWe introduce the super-qubit quantum state, determined by superposition of the zero and the one super-particle states, which can be represented by points on the super-Bloch sphere. In contrast to the one qubit case, the one super-particle state is characterized by points in extended complex plane, equivalent to another super-Bloch sphere. Then, geometrically, the super-qubit quantum state is represented by two unit spheres, or the direct product of two Bloch spheres. By using the displacement operator, acting on the super-qubit state as the reference state, we construct the super-coherent states, becoming eigenstates of the super-annihilation operator, and characterized by three complex numbers. The states are fermion-boson entangled, and the concurrence of states is the product of two concurrences, corresponding to two Bloch spheres. We show geometrical meaning of concurrence as distance from point-state on the sphere to vertical axes. Then, probabilities of collapse to the north pole state and to the south pole state are equal to half-distances from vertical coordinate of the state to corresponding points at the poles. For complimentary fermion number operator, we get the flipped super-qubit state and corresponding super-coherent state, as eigenstate of transposed super-annihilation operator. The infinite set of Fibonacci oscillating circles in complex plane, describing quantum states with uncertainty relations as the ratio of two Fibonacci numbers, and in the limit at infinity becoming the Golden Ration uncertainty, is derived.Conference Object Velocity-Level Kinematics of a Continuously Variable Transmission System for Phri(Springer International Publishing AG, 2025) Mobedi, Emir; Dede, Mehmet Ismet CanNew generation robots pave the way for physical human-robot interaction (pHRI) through improvements in control and design techniques. While the former is achieved with the help of a number of sensory information, variable stiffness actuators (VSA) are exploited for the design of these robots to achieve inherent compliance. Recently, continuously variable transmission-based VSA has been developed to be used for pHRI, specifically for haptics. The fundamental characteristic of this new CVT mechanism is that it regulates output position and torque independently via the sphere transmission element. In this study, velocity-level kinematics of this new CVT system is carried out to demonstrate its step-less speed variation feature. Moreover, simulations are conducted in ADAMS and Solidworks software packages at 8 transmission points selected unequally. Results show that the average value of overall ADAMS and Solidworks errors computed with respect to the computed velocity are reported as 1.09%, and 0.53%, respectively.Article Participatory Action for and Through Ecological Integrity: Toroidality as a Circular Design Model(Institute for Research and Community Services, Institut Teknologi Bandung, 2025) Yurt, C.; Deniz, D.The ecological crisis corrupts natural cycles, damages networks of organisms, and disrupts the ecosystem equilibrium. In response to the ecological crisis, the concept of circularity proposes reformative actions. However, these actions are insufficient to reverse the crisis and achieve ecological integrity because they are non-holistic and based on human concerns and priorities. A more inclusive and integrative mindset is necessary for better-functioning circular processes. In this regard, this research presents a theoretical framework for an alternative circular design model – Toroidality – which is driven by collective knowledge and participatory action. Toroidality functions through the integrative capacity of collective knowledge and collaboration among human and non-human stakeholders in the ecosystem. Based on the intertwined cycles of collective knowledge and collective value-creation, Toroidality becomes a self-feeding circular design model. Through its four-phased circular design processes, Toroidality claims to generate solutions that have regenerative capacities. This article clarifies the conceptual background, theoretical framework and complementary notions to present the fundamentals of Toroidality. After this initial explanatory article, the dynamics of the phases and interactions among the stakeholders are aimed to be explored and reported in the following research, through a real-life case study. © 2025 Published by ITB Institute for Research and Community Services.Conference Object Citation - Scopus: 1FBG-Based Temperature and Fire Sensors for Use in Industrial Microwave Ovens(SPIE, 2025) Yuksel, K.; Merdin, O. D.; Kinet, D.; Merdin, M.; Guyot, C.; Caucheteur, C.Industrial microwave-heating systems play a crucial role in sectors such as food processing and materials manufacturing, where precise temperature control and safety are paramount. However, traditional systems often face challenges like uneven heat distribution and elevated fire risks due to the inherent characteristics of microwave heating. This study introduces a fiber-optic sensor-based monitoring system designed to address these critical issues. The system features an advanced fiber-optic sensor capable of 2D temperature distribution monitoring and a specialized fire detection mechanism, both aimed at significantly reducing risks and improving the heating process. Experimental results demonstrate the potential for transformative advancements in industrial heating technologies, paving the way for enhanced process efficiency and safety.Article Citation - WoS: 2Citation - Scopus: 3Evaluation of Hydro-Geochemical Processes Controlling Groundwater Quality in Balkh Center (Mazar-e-Sharif) Northern Afghanistan(Elsevier, 2025) Farahmand, Asadullah; Zaryab, Abdulhalim; Ameri, Nasrullah; Ali, Shakir; Eqrar, Mohammad NaimBackground: Groundwater in Afghanistan stands as the predominant water source employed for potable consumption, household utilization, irrigation, and industrial applications. Major cities of Afghanistan are largely dependent on groundwater resources. However, the groundwater quality of major cities in Afghanistan, including Mazar-e-Sharif city was not investigated in detail. Objective: This study aims to conduct a comprehensive analysis of the hydrochemical characteristics of the Mazare-Sharif groundwater, identify the factors influencing groundwater quality, and evaluate the groundwater contamination sources. Methods: A total of 18 groundwater samples were collected during the dry season (June 2020) and analyzed for various physico-chemical parameters. Methods such as multivariate statistical analyses, geochemical modeling, water quality index (WQI), and spatial distribution of groundwater quality were employed to evaluate the hydro-geochemistry of the study area. Results: The results reveal that 1) The prevailing groundwater within the study area is predominantly characterized by Na-(Ca)-HCO3 and Ca-(Mg)-SO4 water types. 2) Physicochemical variables such as NO3-, F-, TDS, and SO42-exceeded the World Health Organization (WHO) safe limits in many wells. 3) Hydro-geochemical processes such as silicate weathering, cation exchange, and gypsum dissolution controls the groundwater chemistry. 4) Cl/ Br ratios reveal, that high salinity may originate from evaporitic lacustrine and evaporite deposits and found to be localized in nature. 5) The Water Quality Index (WQI) classification suggests that approximately 60 % of the groundwater samples fall into poor to very poor water quality categories, highlighting substantial public health concerns. Major contaminants like nitrate and fluoride were found to be higher than the safe limit in nearly half of the samples. Conclusion: The findings of this study hold value for decision-makers in formulating a proficient strategy for the management of groundwater resources in Mazar-e-Sharif City in achieving the UN sustainable goal (SDG) of providing sustainable water for all. Furthermore, new advanced techniques like environmental isotopes should be analyzed to evaluate groundwater hydro-chemical evolution in the future to enhance our understanding.Article Understanding the Synthesis Mechanism of Arginine Functionalized Silver/Silver Chloride Nanoparticles Using Sugar Ligands(Elsevier, 2025) Bolat, Suheda; Degirmenci, Suna; Gumus, Abdurrahman; Sancak, Zafer; Yazgan, DrisIn this study, we performed a mechanistic study to understand how the sugar ligand chemistry affected the morphology, size and surface chemistry of Ag/AgCl_NPs synthesized in the presence of L-Arginine hydrochloride and L-Arginine/KCl mixture. The sugar ligands Lactose p-methoxyaniline (LMA) and Galactose 5-aminosalicylic acid (G5AS) resulted in formation of sheet-like Ag/AgCl_NPs while Lactose sulfanilic acid (LSA) and Lactose psulfonyldianiline (LPSA) caused the formation of anisotropic and film-like Ag/AgCl_NPs. The UV-Vis based mechanistic studies showed that the presence of Arginine posed a strong effect on how G5AS and LMA ligands interact with silver ions while the effect was more complicated for the LSA and LPSA ligands due to the fact that they form complexation with Ag+ ions. The mechanism was further investigated using infrared (IR) studies that showed the increases in Argine and chloride ion concentrations resulted in differentiation of the surface chemistry of the Ag/AgCl_NPs, and appearance of Arginine related IR bands became clearer in the case of cointroduction of Arginine and the sugar ligands. The characterized nanoparticles were then used as antibacterial agent for multidrug resistant Escherichia coli species for which less than 10 mu M minimum inhibitory concentrations were obtained. The promising antibacterial activity, which could be assigned to the presence of Arginine, was independent from the sugar ligand chemistry and nanoparticles' morphology and size. Particularly, large Ag/AgCl_NP film forming capacity can call further research to be exploited as coating materials for antibacterial application.Article Citation - WoS: 7Citation - Scopus: 6Polymeric Biomaterials for Periodontal Tissue Engineering and Periodontitis(Royal Soc Chemistry, 2024) Yuruk, Gizem; Demir, Yagmur Damla; Vural, Sevra; Kehr, Nermin SedaThe periodontium is one of the most complex tissues in the body because its structure is formed by a hierarchical combination of soft and hard tissues. Due to its complex architecture, the treatment and regeneration of damaged periodontal tissue caused by diseases is still a challenge in biomedicine. The most common disease of the periodontium is periodontitis, which occurs when the periodontium becomes infected and inflamed as a bacterial biofilm forms in the mouth. Recently, various biocompatible biomaterials made of natural and synthetic polymers have been developed for periodontal tissue regeneration or treatment due to their superior properties such as controlled drug and bioactive molecule delivery, mimicking the 3D network of tissue, biocompatibility, antibacterial and mechanical properties. In particular, biomaterials designed for drug delivery, such as hydrogels, scaffolds, films, membranes, micro/nanoparticles and fibers, and additively manufactured biomaterials have undergone in vitro and in vivo testing to confirm their potential clinical utility in periodontal regeneration and periodontitis treatment. This review explores recent advances in the use of biomaterials for the prevention and/or treatment of periodontal regeneration and periodontitis. Specifically, it emphasizes advancements in drug/biomolecule delivery and the use of additively manufactured biomaterials for addressing periodontal issues.Conference Object Citation - WoS: 3Citation - Scopus: 5Predicting Software Functional Size Using Natural Language Processing: an Exploratory Case Study(IEEE, 2024) Unlu, Huseyin; Tenekeci, Samet; Ciftci, Can; Oral, Ibrahim Baran; Atalay, Tunahan; Hacaloglu, Tuna; Demirors, OnurSoftware Size Measurement (SSM) plays an essential role in software project management as it enables the acquisition of software size, which is the primary input for development effort and schedule estimation. However, many small and medium-sized companies cannot perform objective SSM and Software Effort Estimation (SEE) due to the lack of resources and an expert workforce. This results in inadequate estimates and projects exceeding the planned time and budget. Therefore, organizations need to perform objective SSM and SEE using minimal resources without an expert workforce. In this research, we conducted an exploratory case study to predict the functional size of software project requirements using state-of-the-art large language models (LLMs). For this aim, we fine-tuned BERT and BERT_SE with a set of user stories and their respective functional size in COSMIC Function Points (CFP). We gathered the user stories included in different project requirement documents. In total size prediction, we achieved 72.8% accuracy with BERT and 74.4% accuracy with BERT_SE. In data movement-based size prediction, we achieved 87.5% average accuracy with BERT and 88.1% average accuracy with BERT_SE. Although we use relatively small datasets in model training, these results are promising and hold significant value as they demonstrate the practical utility of language models in SSM.