Bilimsel İletişimde Dönüşüm: Açık Bilim, Yüksek Etkili Yayınlar ve Yapay Zeka

Bu sunum, 28 Ağustos 2025 tarihinde Kadir Has Üniversitesi’nde gerçekleştirilen ‘Bilimsel İletişimde Dönüşüm: Açık Bilim, Yüksek Etkili Yayınlar ve Yapay Zekâ’ başlıklı etkinlik kapsamında yapılmıştır

Effects of Imagining Someone Else Experience a Negative Autobiographical Memory on Phenomenological Experience

We investigated whether the phenomenological experience of a negative autobiographical memory changes when the self is presumably distanced from it. In session 1, participants described and phenomenologically rated an important negative event. One week later, in session 2, they imagined and described the event as if either a similar or a dissimilar friend experienced it. Afterward, they once more rated the original event that they described in session 1. Results showed increased observer perspective and decreased vividness, accessibility, and reliving of the original event after imagining that a friend experienced it. Importantly, when the negative event was imagined as experienced by a friend, preoccupation with overwhelming emotions related to the event, the event's emotional intensity, and its centrality to identity and life story also decreased. When the imagined friend was dissimilar, the emotional valence of the memory became more positive, and the emotional distance to the memory increased.Social Science Citation Inde

Physics-Informed Power Grid Reconstruction: Complex Systems Perspective

Enerji, modern yas¸amın tum y ¨ onlerini beslerken, elektrik s¸ebekesi bu sistemin temel ¨ altyapısını olus¸turur. Ancak bu s¸ebeke, buy¨ uk¨ olc¸ekli, do ¨ grusal olmayan ve mek ˘ ana ˆ gom¨ ul¨ u yapısıyla insan eliyle yapılmıs¸ en karmas¸ık sistemlerden biridir. K ¨ uc¸¨ uk bir bozul- ¨ ma bile ardıs¸ık arızaları tetikleyerek genis¸ c¸aplı elektrik kesintilerine ve toplumsal etkilere yol ac¸abilir. Gunes¸ ve r ¨ uzg ¨ ar gibi yenilenebilir kaynaklara gec¸is¸in hızlanmasıyla birlikte, ˆ s¸ebeke degis¸kenlik ve merkezsiz ˘ uretim gibi yeni zorluklarla kars¸ı kars¸ıyadır. Bu nedenle, ¨ s¸ebekenin kararlılıgını ve dayanıklılı ˘ gını sa ˘ glamak hem bilimsel bir zorunluluk hem de ˘ pratik bir ihtiyac¸ haline gelmis¸tir. ˆ Bu tez, karmas¸ık sistemler bakıs¸ ac¸ısıyla tasarlanmıs¸ ac¸ık kaynaklı bir yazılım hattı sunar. Bu hat, ac¸ık eris¸imli cografi verileri kullanarak y ˘ uksek gerilimli iletim a ¨ gı modelleri ˘ olus¸turmayı mumk ¨ un kılar. Y ¨ ontem genel olarak uygulanabilir olsa da, detaylı bir ¨ ornek ¨ c¸alıs¸ma olarak Turkiye elektrik iletim s¸ebekesi ele alınmıs¸tır. Ac¸ık eris¸imli, fiziksel olarak ¨ detaylı s¸ebeke modellerinin azlıgını gidermek amacıyla, OpenStreetMap verileri is¸lenerek ˘ MATLAB MATPOWER ile uyumlu modeller uretilmis¸tir. Ortaya c¸ıkan veri seti; hat ¨ empedansları, termal sınırlar ve yuk da ¨ gılımları gibi temel elektriksel parametreleri ic¸erir. ˘ Bu parametreler muhendislik tahminleriyle elde edilip g ¨ uc¸ akıs¸ı ac¸ısından do ¨ grulanmıs¸tır. ˘ ˙Iki ornek c¸alıs¸ma, yazılım aracının ve olus¸turulan veri setinin yararlılı ¨ gını g ˘ ostermektedir. ¨ ˙Ilk c¸alıs¸ma, senkronizasyon kararlılıgını, kararsızlı ˘ gın erken uyarı sinyallerini tespit et- ˘ mek ic¸in stokastik perturbasyon analizi kullanarak incelemektedir. ¨ ˙Ikinci c¸alıs¸ma ise termal as¸ırı yuklenmelere ba ¨ glı ardıs¸ık arızaları aras¸tırmakta, kırılgan iletim hatlarını belir- ˘ lemekte ve dayanıklılıgı artırmak ic¸in hedefe y ˘ onelik g ¨ uc¸lendirme ¨ onerileri sunmaktadır. ¨ Bu ornekler, elektrik s¸ebekesi dinamiklerini modellemede fiziksel ve yapısal gerc¸ekc¸ili ¨ gin ˘ onemini vurgulamaktadır. ¨ Bu c¸alıs¸maların otesinde, veri seti ve yazılım aracı, g ¨ uc¸ sistemi modellemesi ic¸in ¨ olc¸ekle- ¨ nebilir ve tekrarlanabilir bir c¸erc¸eve sunmaktadır. Yenilenebilir entegrasyonu, genis¸leme planlaması, dayanıklılık analizi ve gerc¸ek zamanlı izleme gibi uygulamaları desteklemektedir. Hem arac¸ların hem de verilerin kamuya ac¸ık hale getirilmesiyle, bu tez modern enerji altyapısının kararlılıgı ve s ˘ urd ¨ ur¨ ulebilirli ¨ gi˘ uzerine veri odaklı, disiplinlerarası ¨ aras¸tırmalara katkı saglamaktadır. ˘ Anahtar Sozcükler: Elektrik S¸ ebekesi Altyapısı, OpenStreetMap Veri Entegrasyonu, Karmas¸ık Sistemler Analizi, Senkronizasyon, KararlılıkEnergy powers all aspects of modern life, with the electrical power grid serving as its foundational infrastructure. Yet, the grid is also one of the most complex man-made systems: large-scale, nonlinear, and spatially embedded. Even minor disturbances can trigger cascading failures, leading to widespread blackouts and serious societal impacts. As the global energy transition accelerates with increasing reliance on renewables like solar and wind, the grid faces new challenges from variability and decentralised generation. Ensuring its stability and resilience has become both a scientific imperative and a practical necessity. This Thesis introduces an open-source software pipeline for constructing high-voltage transmission network models using open-access geospatial data, framed through a complex systems lens. While the approach is broadly applicable, the Turkish power grid serves as a detailed case study. In response to the scarcity of openly available, physically detailed grid models, this work transforms raw OpenStreetMap data into MATLAB MATPOWER-compatible power system models. The resulting dataset includes key electrical parameters—line impedances, thermal limits, and load distributions—generated through engineering estimation and validated for power flow feasibility. Two case studies demonstrate the software tool and generated dataset's utility. The first examines synchronisation stability using stochastic perturbation analysis to detect early warning signals of instability. The second investigates cascading failures due to thermal overloads, identifying vulnerable transmission lines and proposing targeted reinforcements to enhance resilience. These examples highlight the importance of physical and structural realism in modelling power grid dynamics. Beyond these studies, the dataset and software establish a scalable, reproducible framework for power system modelling. They support applications in renewable integration, expansion planning, resilience analysis, and real-time monitoring. By making both tools and data publicly available, this Thesis contributes to data-driven, interdisciplinary research on the stability and sustainability of modern power infrastructure. Keywords: Power Grid Infrastructure, OpenStreetMap Data Integration, Complex Systems Analysis, Synchronisation, Stabilit

The Impact on Risk Management and Price Discovery due to Governmental Intervention: A Case of Two Commodity Futures

The study explored the impact of government intervention on price discovery and hedging efficacy concerning the agricultural commodities futures market, specifically on Chickpea (Chana) and wheat futures traded on India's NCDEX. This study examines variations in price discovery events before and after the intervention, utilizing the Garbade-Silber (GS) model and Granger causality tests. The Minimum Variance Hedge Ratio (MVHR) assesses the efficacy of hedging. The results demonstrate significant changes: post-intervention, the futures price of chickpeas exhibits enhanced efficacy in price discovery, but the future-led relationship within the wheat market diminishes. Moreover, chickpea futures exhibit stable hedging efficacy, but wheat futures experience a decline in effectiveness, likely attributable to heightened volatility. The findings indicate the varying effects of regulation on commodity markets, suggesting that targeted interventions could enhance market stability and efficiency. It is beneficial for policy analysts, market participants, and researchers in agricultural futures markets. © 2025 Elsevier B.V., All rights reserved

Kuvvetli Yer Hareketi Deprem Kayıtlarında P-Dalgası Tespiti İçin Varyasyonel Otomatik Kodlayıcılar

Isik UniversityEarthquake early warning systems rely on accurate detection of Primary waves before the destructive Secondary waves arrive. However, identifying P-wave onsets in strong-motion accelerograms is challenging due to high noise, limited labeled data, and complex waveforms. This paper proposes a Variational Autoencoder framework for self-supervised P-wave detection in strong-motion data. A Convolutional VAE is trained to reconstruct P-wave segments while rejecting noise and non-P-wave inputs. We employ a sliding window method, combining reconstruction loss and normalized cross-correlation, to locate P-wave arrivals. Experimental results on 1, 2, and 3 second segments show robust performance with area-under-the-curve up to 0.97, demonstrating improved accuracy for longer segments and reduced computational cost for shorter segments. © 2025 Elsevier B.V., All rights reserved

Promoting Sustainable Urban Mobility: an Integrated Fuzzy Decision-Making Model for Assessing Autonomous Bus Alternatives

Pamucar, Dragan/0000-0001-8522-1942;Today, in addition to the increasing pressures on urban transportation authorities to achieve sustainability goals, it has become necessary to comprehensively evaluate innovative transportation technologies such as autonomous (driverless) buses due to the increasing demand for public transportation applications that will contribute to making urban transportation more sustainable with its environmental, social, economic and social dimensions. In addition, the reservations and hesitations of decision-makers about integrating autonomous buses into urban transportation systems have not been eliminated. These hesitations and reservations are mainly due to critical research, theoretical gaps, and limitations in practice. Considering these gaps, this study presents an innovative model that integrates the fuzzy logarithm methodology of additive weights (LMAW) method and the fuzzy Dombi Bonferroni (DOBI) method to evaluate and rank 20 different autonomous bus alternatives with 33 sustainability criteria. The proposed integrated decision-making procedure can effectively manage complex uncertainties while examining whether autonomous bus alternatives can be integrated into urban transportation systems based on sustainability, considering four-dimensional sustainability criteria. This finding indicates that urban transportation's user-oriented and reliable nature is critical to achieving sustainability goals. In addition, the Proterra Catalyst (A9) is the autonomous bus with the highest sustainability performance for use in urban transport, followed by the Mercedes-Benz Future Bus (A18) and Mercedes-Benz eCitaro (A8). These results regarding alternatives underline the importance of advances in autonomous vehicle technology and making these vehicles more sustainable in evaluation processes.Science Citation Index Expande

Advanced Restoration Management Strategies in Smart Grids: the Role of Distributed Energy Resources and Load Priorities

Ahmadi, Bahman/0000-0002-1745-2228; Ozdemir, Aydogan/0000-0003-1331-2647Fast restoration following long outages is a challenge in the smart city management process. It is necessary to accurately characterize the real operating conditions of the system for optimal restoration. This study focuses on two key factors of a practical distribution system restoration. The first factor is cold load pickup (CLPU), which commonly occurs after an outage and is caused by thermostatically controlled loads. A time-dependent CLPU is modeled to accurately describe the restored load behaviors. The second factor is the effect of the distributed generators (DG), energy storage systems (ESSs), and load priority factors on the system's restoration process. To address this challenge, a robust optimization model is proposed that fully considers the effect of DG, and ESS units and uncertainty of CLPU. The proposed models are tested on the IEEE 33-node and 69-node test systems using the Advanced Grey Wolf Algorithm (AGWO). The simulation scenarios are designed to uncover optimal scheduling strategies for the restoration process corresponding to each Pareto solution of a previous study. The results are discussed for several distinct initial conditions. Moreover, a comparative evaluation is done, contrasting the outcomes achieved through the AGWO algorithm with those stemming from alternative heuristic methods.EU [957682]; The Scientific and Technological Research Council of Turkey TUBITAKThe funding for this research is provided by the EU HORIZON 2020 project SERENE, grant agreement No 957682, and the "117E773 Advanced Evolutionary Computation for Smart Grid and Smart Community" project, conducted under the 1001 Project framework organized by "The Scientific and Technological Research Council of Turkey TUBITAK".Science Citation Index Expande

Tolerance of Uncontrollability and Psychopathology: the Role of Maladaptive Emotion Regulation

Background: Tolerance 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. Method: A sample of 448 participants aged between 17 and 56 (80.4% females) completed measures assessing TOU, RNT, TS, depression, and anxiety. Results: Findings 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. Conclusions: The current study emphasizes that TOU can be a concept specific to anxiety and highlights one of the mechanisms behind TOU and psychological distress. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.Social Science Citation Inde

Transformation of Turkish-Russian Relations: Rivalry and Cooperation in Eurasia and the Levant

Relations between Russia and Türkiye have developed considerably since the end of the Cold War. What began as energy trade in the late 1980s evolved into cooperation in business, energy, construction, tourism, politics and even security. Behind the ever-expanding cooperation lies a mistrust fueled by historical enmity and regional rivalry that occasionally leads to confrontation. As the two countries seek to shape their competitive cooperation beyond the current geopolitical challenges and constraints of regional security and alliances, the question of whether they could find ways to advance their partnership is of paramount importance and has regional and global implications. This paper seeks to understand how they have managed their conflict-ridden past to develop a modus operandi in the post-Cold War world by proposing a new conceptual model, namely “competitive cooperation” or “coopetition”, to understand the relationship that developed over the last 30 years in different geographical regions.Social Science Citation Inde