Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651

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Now showing 1 - 10 of 1747
  • Article
    Navigating Fear and Recklessness: Lawyers’ Perspectives on Courageous Client Behaviours in the Rights-Seeking Process
    (Routledge Journals, Taylor & Francis Ltd, 2026) Sert, Ozgur; Kılıç, Tamer; Mert, Ibrahim Sani; Bayramoğlu, Gökben
    Courage is often central to rights seeking. Drawing on Aristotelian virtue ethics and socio-psychological perspectives, this qualitative study examines how Turkish lawyers interpret and manage clients' courage, from cowardice to recklessness, during litigation. Semi-structured written interviews with 46 practising lawyers were analysed thematically in MAXQDA24. Participants largely saw courage as pivotal to sustaining claims, especially when supported by education, financial resources, and robust social ties. Social pressure and reputational risks frequently dampened courage, prompting early withdrawal. Lawyers portrayed cowardly clients as anxious and hesitant, courageous clients as calibrated risk-takers, and reckless clients as bold but imprudent, and tailored their guidance, accordingly, offering reassurance, structure, or caution. Situating these dynamics within Turkiye's collectivist, high-uncertainty-avoidant context, the study advances cross-cultural legal psychology and highlights the value of emotional intelligence and mental health awareness in legal practice.
  • Article
    A Multi-Scenario Evaluation of Adaptive Fuzzy Logic Algorithms for Intelligent Traffic Signal Management in Urban Intersections
    (Nature Portfolio, 2026) Dvorsky, Jiri; Martinovic, Jan; Shaheen, Sumaira; Riaz, Muhammad Bilal; Qadri, Syed Shah Sultan Mohiuddin; Slaninova, Katerina
    The article presents a performance analysis of the advanced adaptive control systems of traffic lights that are based on the advanced fuzzy logic. They include Modified Intuitionistic Fuzzy Logic Algorithm (MIFLA) and the Modified Interval Type-2 fuzzy logic (MIT2FL) at a four-leg intersection. In this article, there is an integration of these fuzzy models with the SUMO platform with respect to the weaknesses of the traditional fixed-time traffic lights, particularly in rapidly urbanizing areas. This will be to achieve a real-time dynamic control system. The simulation matrix was a grid of the nine scenarios in which the performance of the controllers was assessed to some extent, depending on the traffic and directional imbalances. The results reveal that the MIT2FL is more effective than the MIFLA and the Modified Webster benchmark. MIT2FL is less divergent, has shorter queuing times, and is more flexible. This occurs when the demand is high, and the traffic conditions are not proportional. This work is significant because it provides fuzzy logic controllers that can deal with uncertainty. It also creates a benchmarking model of a typical multi-scenario. Moreover, it gives the opportunity for reproducibility of the findings in real traffic implementation. The innovations will assist in making the city smarter and easier to move around. They manage congestion, delays, and improve the sustainability of smart traffic control.
  • Article
    A Covering Tour-Based Inventory Routing Framework for Humanitarian Logistics
    (Springer, 2026) Kanik, Zehra B.; Uzgören Kazanç, H. Cansın; Soysal, Mehmet; Coelho, Leandro C.; Kazanc, H. Cansin Uzgoren
    In post-disaster situations, swiftly delivering humanitarian assistance to victims amid chaos and uncertainty poses a significant challenge in practice. Furthermore, efficient distribution of restricted resources, effective inventory control, and optimal resource allocation remain imperative priorities for humanitarian organizations that strive to meet urgent needs under adverse conditions. This study proposes a two-echelon Covering Inventory Routing Problem (CIRP) that integrates the Inventory Routing Problem (IRP) and the Covering Tour Problem (CTP) to support decision-making in the distribution of medical kits in post-disaster humanitarian logistics. A scenario-based probabilistic Mixed-Integer Linear Programming (MILP) model is introduced to decrease costs while adequately addressing unpredictable demand. The applicability of the model was assessed through scenario analysis and a case study. In addition, a three-phase matheuristic algorithm is proposed to solve the CIRP. The results demonstrate that integrating IRP and CTP in a two-echelon structure improves both cost efficiency and the reach of aid delivery under uncertainty. The use of a static-dynamic inventory approach, together with coordinated routing, effectively minimizes emergency shipments and adapts to fluctuating demand, providing valuable support for decision-making in real-time humanitarian contexts. The three-phase matheuristic achieved cost reductions of over 70% relative to the model's incumbent solution within the first hour on large-scale instances, highlighting its practical use in accelerating decision-making amid post-disaster uncertainty.
  • Article
    A Left-Definite Non-Integer-Order Dissipative Operator
    (Springer Nature, 2026) Ugurlu, Ekin
    In this paper we consider a non-integer (fractional)-order nonselfadjoint boundary-value problem so that the fractional-order equation is a kind of left-definite equation. We construct a dissipative operator in a Sobolev space H-1(a,b) and we introduce several results on the spectral properties of the related operators. In particular, we construct an inverse operator with the aid of the Dirac-delta function and we apply Krein's theorem to the inverse operator which is compact having a nuclear imaginary component.
  • Article
    Integrated Experimental, Computational, and Density Functional Theory Analysis of m-Nitrophenol Adsorption and Supercritical CO₂-Assisted Regeneration on β-Cyclodextrin Nanosponges
    (Elsevier B.V., 2026) Salgın, Sema; Salgın, Uğur; Soyer, Nagihan; Ez-zoubi, Amine; Salgın, Yiğit Efe; El fadili, Mohamed; Yalçın, Tuğba
  • Erratum
    Retraction Notice to “The Molecular Dynamics Study of Atomic Structure Behavior of LL-37 Peptide as the Antimicrobial Agent, Derived from the Human Cathelicidin, inside a Nano Domain Filled by the Aqueous Environment”
    (Elsevier B.V., 2026) Baleanu, Dumitru; Liu, Xinglong; Abu-Hamdeh, Nidal H.; Li, Zhixiong; Othman, Ahmad Razi; Abusorrah, Abdullah M.; Karimipour, Arash
  • Article
    QAID: A Comprehensive Framework for Evaluating AI Coding Assistants Beyond Vendor Claims
    (IEEE Computer Society, 2026) Esirik, Buse; Gokalp, Ebru
  • Article
    On Multiplicative Fractional Operators of Hadamard and Katugampola Types in G-Calculus and Related Hermite-Hadamard Inequalities
    (World Scientific Publ Co Pte Ltd, 2026) Abdeljawad, Thabet; Lakhdari, Abdelghani; Jarad, Fahd; Budak, Hüseyin; Alqudah, Manar A
    This paper explores the extension of classical fractional operators to the framework of G-calculus, a non-Newtonian calculus in which differentiation and integration are defined via multiplicative analogs of their classical counterparts. We begin by recalling key concepts from both fractional calculus and G-calculus. Next, we revisit the recently introduced multiplicative Riemann-Liouville fractional operators and extend the multiplicative Riemann-Liouville fractional derivative to arbitrary order alpha > 0. Building on this foundation, we introduce multiplicative versions of the Hadamard and Katugampola fractional integrals and derivatives. Finally, we establish Hermite-Hadamard inequalities for both newly defined integrals.
  • Article
    From Facial Expressions to Thermal Sensation: POMS-Validated AI-Based Mood Estimation Driving Psychology-Adaptive HVAC Control
    (Elsevier Science SA, 2026) Saleh, Yousif Abed Saleh; Sümer, Mustafa Erdi; Saleh Saleh, Yousif Abed; Lotfi, Bahram; Turhan, Cihan; Özbey, Mehmet Furkan
    The psychological state of building occupants plays a critical role in how thermal environments are perceived and experienced, yet conventional Heating, Ventilation, and Air Conditioning (HVAC) control strategies largely ignore this factor. Current systems typically focus on environmental and personal parameters, overlooking the influence of mood state on thermal comfort. This omission can lead to suboptimal comfort levels, decreased occupant satisfaction, and inefficient energy use. Integrating psychological feedback into the HVAC control has the potential to transform indoor climate management into a truly occupant-centric process. To this aim, this study presents a novel framework that employs artificial intelligence (AI) and image processing together to estimate occupants' mood states in real time. Facial expressions are analysed using a deep learning-based computer vision model, and the resulting mood predictions are validated with the Profile of Mood States (POMS) questionnaire to ensure accuracy and reliability. Validated mood data directly informs the HVAC setpoint adjustments, enabling psychology-adaptive control that responds dynamically to occupants' current mood states. Moreover, the system operates in real time, combining low-latency image analysis with adaptive control algorithms to continuously align thermal conditions with validated mood estimations. Additionally, implementing mood-driven HVAC control shows potential for enhancing perceived comfort while improving energy efficiency. By bridging the gap between psychological state assessment and environmental control, this research contributes to the advancement of intelligent building systems, paving the way for more responsive, energy-conscious, and human-centered indoor environments.
  • Article
    The Analytical Analysis of Time-Fractional Fornberg-Whitham Equations
    (MDPI AG, 2020) Baleanu, Dumitru; Shah, Rasool; Aly, Shaban; Khan, Hassan; Alderremy, A.A.