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Moment-Based Approximation for a Renewal Reward Process with Generalized Gamma-Distributed Interference of Chance
No full textThis study investigates the renewal reward process under the assumption that the random variables describing the discrete interference of chance follow a generalized gamma distribution. A moment-based approximation method is employed to derive novel results for the renewal function, enabling an approximation of the ergodic distribution of the process. Furthermore, the limiting distribution of the ergodic distribution is also derived. The theoretical findings are illustrated through a specific example in which the demand random variable eta 1 {\eta }_{1} is represented by a third-order Erlang distribution with parameter theta = 1 \theta =1
2010 Referandumu Sonrası Türkiye'den Avrupa Birliği Ülkelerine Beyin Göçü
No full textBu tez, Türkiye'den Avrupa Birliği ülkelerine göç eden bireylerin deneyimleri üzerinden beyin göçü olgusunu incelemektedir. Araştırmanın temel amacı, Push-Pull ve Ağ (Network) teorileri gibi göç kuramlarının, bireylerin göç kararı alma süreçlerinin hangi aşamalarında etkili olduğunu belirlemek ve bu teorilerin yerleşim süreçlerindeki rollerini değerlendirmektir. Çalışmada, Türkiye'den yurtdışına göç eden profesyonellerin motivasyonları, karşılaştıkları zorluklar ve yeni yaşam alanlarında elde ettikleri fırsatlar analiz edilmiştir. Ayrıca, beyin göçü kavramı bağlamında Türkiye'nin göç ve sığınma politikalarının tarihsel gelişimi incelenmiş ve 2010 referandumu sonrasında bu politikaların nasıl şekillendiği araştırılmıştır. Araştırmanın saha çalışması kapsamında uygulanan anketler ve gerçekleştirilen mülakatlar, bulguların derinleştirilmesini sağlamış ve Türkiye'nin beyin göçüne ilişkin mevcut ve gelecekteki politika yönelimlerine ışık tutmuştur. Sonuç olarak, beyin göçünü önlemek ve tersine göçü teşvik etmek için Türkiye'nin ekonomik fırsatları artırması, siyasi istikrarı sağlaması ve akademik özgürlüğü güçlendirmesi gerektiği vurgulanmaktadır.This thesis examines the brain drain phenomenon through the experiences of individuals migrating from Türkiye to European Union countries. The main purpose of the research is to determine at which stages migration theories, such as Push-Pull and Network theories, are effective in the migration decision-making processes of individuals and to evaluate the roles of these theories in settlement processes. The study analyses the motivations of professionals migrating from Türkiye abroad, their difficulties, and the opportunities they obtain in their new living spaces. In addition, the historical development of Türkiye's migration and asylum policies in the context of the concept of brain drain is examined, and how these policies were shaped after the 2010 referendum is investigated. The surveys and interviews conducted within the scope of the field work of the research deepened the findings and shed light on Türkiye's current and future policy orientations regarding brain drain. As a result, it is emphasized that Türkiye needs to increase economic opportunities, ensure political stability, and strengthen academic freedom to prevent brain drain and encourage reverse migration
Evaluating Fixation Techniques to Prevent Subsidence in Cervical Corpectomy Models Using Low and High-Density Polyurethane Blocks
No full textSubsidence is a common complication, especially in multisegment corpectomies. In addition to the characteristics of the cage, fixation method is also an effective means of preventing subsidence. We compared three different fixation methods used after the cage placement: Anterior fixation (AF), posterior fixation (PF), and circumferential fixation (CF). Low-density (LDB) and high-density (HDB) polyurethane blocks were used to mimic osteoporotic and normal bone, respectively. Five models within the groups loaded flexion-extension testing, and maximum compressive loads (MCL), bending moment and stiffness were determined in static tests. Subsequently, the specimens were subjected to dynamic fatigue tests then the amount of subsidence was calculated. The MCL and stiffness differences between AF, PF, and CF in the LDB were statistically significant, decreasing CF, PF, AF, respectively. In the HDB group, the difference in MCL between AF, PF, and CF was significant, decreasing from CF to PF to AF, respectively. The differences between the stiffness of these models were statistically significant, from high to low CF, PF, AF. The subsidence of AF, PF and CF in the LDB were 2.3 ± 1.59 mm, 7.5 ± 1.58 mm, and 0.65 ± 0.10 mm, respectively. In this group, CF is more successful in preventing subsidence than AF and PF. Subsidence of less than 1 mm was observed in all models in the HDB. This study suggests that AF is as effective as other methods in preventing subsidence following two-level corpectomy in patients with high bone quality. In those with low bone quality, CF could provide more stable fixation and may be more reliable in preventing subsidence and potential instrumentation failure. © 2025 Elsevier B.V., All rights reserved
The Effect of Laser Powder Bed Fusion Process on Ti-6al Powder
No full textAdditive manufacturing with Ti-6Al-4V laser powder bed fusion (L-PBF) processes offers significant advantages for producing high-performance components. Hence, powder reuse strategies are crucial for reducing manufacturing costs and environmental impact, and reliable part properties. This study investigates the influence of L-PBF processing on the properties of virgin, recycled, and spatter Ti-6Al-4V powders. Particle size distribution, morphology, microstructure, chemical composition, and microhardness were determined using a laser particle size analyzer, scanning electron microscopy (SEM), X-ray diffraction (XRD), and microhardness testing. Virgin powder exhibited a narrow size distribution and spherical morphology. Recycled powder showed a slightly broader distribution and increased irregularity, while spatter powder had a significantly broader distribution with large, irregular particles. Microstructural analysis revealed that all powders exhibited an acicular alpha ' martensite microstructure, while the presence of twins was unique to the virgin powders. The average alpha ' lath thickness was similar for virgin and spatter powders, with a slightly higher in the recycled powders. XRD confirmed the presence of the alpha ' phase, and dislocation density was highest in virgin powder and lowest in spatter powder. Microhardness measurements indicated a slight decrease in hardness for recycled powders and a wider range of hardness values for spatter powders compared to virgin powders.TOBB University of Economics and Technology; EOS GmbH Electro Optical Systems; Zeta Potential Measurement Laboratory (PZL) at METU Central LabThis research was supported by TOBB University of Economics and Technology and EOS GmbH Electro Optical Systems. The authors would also like to thank the Particle Size and Zeta Potential Measurement Laboratory (PZL) at METU Central Lab for their support in particle size measurements. Additionally, the authors extend their gratitude to ARDUTEK for their assistance in the measurement of O, N, H, and C elements
Search for Magnetic Monopole Pair Production in Ultraperipheral (Formula Presented) Collisions at (Formula Presented) With the ATLAS Detector at the LHC
No full textThis Letter presents a search for highly ionizing magnetic monopoles in (Formula presented) of ultraperipheral (Formula presented) collision data at (Formula presented) collected by the ATLAS detector at the LHC. A new methodology that exploits the properties of clusters of hits reconstructed in the innermost silicon detector layers is introduced to study highly ionizing particles in heavy-ion data. No significant excess above the background, which is estimated using a data-driven technique, is observed. Using a nonperturbative semiclassical model, upper limits at 95% confidence level are set on the cross section for pair production of monopoles with a single Dirac magnetic charge in the mass range of 20-150 GeV. Depending on the model, monopoles with a single Dirac magnetic charge and mass below 80-120 GeV are excluded. © 2025 Elsevier B.V., All rights reserved
Exploiting Vertex-Cut Partitioning in Distributed Graph Generation
No full textGraphs sub-structures have strong influence on the characteristics of real-world complex networks. Moreover, graph generation algorithms must capture and replicate these characteristics to remain representative of their real-world counterparts. The ever-increasing size of data collected from observed networks introduces another layer of complexity-scalability constraints- to the graph generation methods which already have multiple objective functions to satisfy. This paper introduces a novel distributed graph generation methodology that employs vertex partitioning to distribute the graph across multiple execution units. By design, algorithm faithfully replicates the exact Joint Degree Matrix(JDM) characteristics of the original graph. We conducted an extensive profiling study of the algorithm to analyze the effect of execution unit count and partition count on its runtime performance. The results demonstrate that, with just a few compute servers, the algorithm can efficiently scale to handle hundreds of millions of vertices within a reasonable time frame.This work was supported in part by a Saleh A. Kamel Graduate Fellowship at TOBB ETU.Saleh A. Kamel Graduate Fellowship at TOBB ET
Yargıtay Kararları Çerçevesinde Takip Dosyasındaki Alacağa Haciz Konulması Ve Bununla Bağlantılı Bazı Sorunlar
No full text[No Abstract Available
Climbing to the Top of the Atlas 13 TeV Data
No full textJia, Jiangyong/0000-0002-5725-3397; Berta, Peter/0000-0003-0780-0345; Kontaxakis, Pantelis/0000-0002-4860-5979; Fox, Harald/0000-0003-3089-6090; Azuelos, Georges/0000-0003-4241-022X; Hoppesch, Matthew/0000-0002-7773-3654; Munoz Sanchez, Francisca/0000-0002-6374-458X; Martinez-Agullo, Pablo/0000-0001-8925-9518; Merlassino, Claudia/0000-0002-5445-5938; Hance, Michael/0000-0001-8392-0934; Smirnova, Oxana/0000-0003-2517-531X; Grinstein, Sebastian/0000-0002-6460-8694; Lacasta, Carlos/0000-0002-2623-6252; Mindur, Bartosz/0000-0002-5511-2611; Stark, Giordon/0000-0001-6616-3433; Cheong, Sanha/0000-0002-2797-6383; Mckee, Shawn/0000-0002-4551-4502; Alimonti, Gianluca/0000-0002-7128-9046; Bruschi, Marco/0000-0002-4319-4023; Cunha Sargedas Sousa, Mario Jose/0000-0001-7991-593X; Bouhova-Thacker, Evelina/0000-0002-5103-1558; Leblanc, Matt/0000-0001-5977-6418; Pleier, Marc-Andre/0000-0002-9461-3494; Di Luca, Andrea/0000-0002-9074-2133; Kumar, Mukesh/0000-0003-3681-1588; Rousseau, David/0000-0001-7613-8063; Mondal, Santu/0000-0002-6965-7380; Kaji, Toshiaki/0000-0002-6532-7501; Kirk, Julie/0000-0001-8096-7577; Vincter, Manuella/0000-0002-5338-8972; Winter, Benedict Tobias/0000-0001-9606-7688; Su, Dong/0000-0001-6980-0215; Novak, Tadej/0000-0002-3053-0913; Tishelman-Charny, Abraham/0000-0002-7332-5098; Morii, Masahiro/0000-0001-9324-057X; Nikolopoulos, Konstantinos/0000-0002-3048-489X; Konstantinidis, Nikolaos/0000-0002-4140-6360; Elsing, Markus/0000-0002-1213-0545; Juzek, Monika/0000-0002-7269-9194; Kowalewski, Robert/0000-0002-7314-0990; Held, Alexander/0000-0002-8924-5885; Beau, Tristan/0000-0002-2022-2140; Price, Darren/0000-0003-2750-9977; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Stanislaus, Beojan/0000-0001-9007-7658; Pettee, Mariel/0000-0001-9208-3218; Haley, Joseph/0000-0002-6938-7405; Beck, Hans Peter/0000-0001-7212-1096; Klein, Lucas/0000-0002-0145-4747; Meloni, Federico/0000-0001-7075-2214; Sampsonidou, Despoina/0000-0003-0384-7672; Redlinger, George/0000-0002-6437-9991; Gwilliam, Carl/0000-0002-9401-5304; Mete, Alaettin Serhan/0000-0002-5508-530X; Rompotis, Nikolaos/0000-0003-2577-1875; Martoiu, Sorin/0000-0002-4963-9441; Butterworth, Jonathan/0000-0002-5905-5394; Doglioni, Caterina/0000-0002-1509-0390; Mcpherson, Robert/0000-0001-9211-7019; Sahinsoy, Merve/0000-0002-7400-7286; Lloyd, Stephen/0000-0002-5073-2264; Dong, Qichen/0000-0002-0117-7831; Koch, Simon Florian/0000-0002-2676-2842; Quinn, Ryan/0000-0002-0879-6045; Worm, Steven/0000-0002-3865-4996; Kretzschmar, Jan/0000-0002-8515-1355; Bhatta, Somadutta/0000-0002-9045-3278; D'Uffizi, Matteo/0000-0003-2499-1649; Bahmani, Marzieh/0000-0003-4173-0926; Cristoforetti, Marco/0000-0002-0127-1342; Schmitt, Stefan/0000-0001-8387-1853; Bella, Gideon/0000-0002-4009-0990; Islam, Wasikul/0000-0002-5624-5934; De La Torre Perez, Hector/0000-0002-4516-5269; Keeler, Richard/0000-0002-0510-4189; Gaudio, Gabriella/0000-0002-6833-0933; Citron, Zvi/0000-0003-1831-6452; Terzo, Stefano/0000-0003-3388-3906; Vecchio, Valentina/0000-0002-1351-6757; Schultz-Coulon, Hans-Christian/0000-0002-0860-7240; Mitsou, Vasiliki A./0000-0002-1533-8886The large amount of data recorded with the ATLAS detector at the Large Hadron Collider, corresponding to 140 fb(-1) of pp collisions at a centre-of-mass energy of root s = 13 TeV, has brought our knowledge of the top quark to a higher level. The measurement of the top-antitop quark pair-production cross-section has reached a precision of 1.8% and the cross-section was measured differentially up to several TeV in multiple observables including the top-quark transverse momentum and top-quark-pair invariant mass. Single-top-quark production was studied in all production modes. Rare production processes where the top quark is associated with a vector boson, and four-top-quark production, have become accessible and cross-section measurements for several of these processes have reached uncertainties of around 10% or smaller. Innovative measurements of the top-quark mass and properties have also emerged, including the observation of quantum entanglement in the top-quark sector and tests of lepton-flavour universality using top-quark decays. Searches for flavour-changing neutral currents in the top-quark sector have been significantly improved, reaching branchingratio exclusion limits ranging from 10(-3) to 10(-5). Many of these analyses have been used to set limits on Wilson coefficients within the effective field theory framework. (c) 2024 CERN for the benefit of the ATLAS Collaboration. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).We gratefully acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARIS and MVZI, Slovenia; DSI/NRF, South Africa; MICIU/AEI, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; NSTC, Taipei; TENMAK, Turkiye; STFC/UKRI, United Kingdom; DOE and NSF, United States of America. Individual groups and members have received support from BCKDF, CANARIE, CRC and DRAC, Canada; PRIMUS 21/SCI/017, CERN-CZ and FORTE, Czech Republic; COST, ERC, ERDF, Horizon 2020, ICSC-NextGenerationEU and Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. In addition, individual members wish to acknowledge support from CERN: European Organisation for Nuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT 1190886, FONDECYT 1210400, FONDECYT 1230812, FONDECYT 1230987); China: Chinese Ministry of Science and Technology (MOST-2023YFA1605700), National Natural Science Foundation of China (NSFC -12175119, NSFC 12275265, NSFC-12075060); Czech Republic: Czech Science Foundation (GACR -24-11373S), Ministry of Education Youth and Sports (FORTE CZ.02.01.01/00/22_008/0004632), PRIMUS Research Programme (PRIMUS/21/SCI/017); EU: H2020 European Research Council (ERC -101002463); European Union: European Research Council (ERC -948254, ERC 101089007), Horizon 2020 Framework Programme (MUCCA -CHIST-ERA-19-XAI-00), European Union, Future Artificial Intelligence Research (FAIR-NextGenerationEU PE00000013), Italian Center for High Performance Computing, Big Data and Quantum Computing (ICSC, NextGenerationEU); France: Agence Nationale de la Recherche (ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022, ANR-22-EDIR-0002), Investissements d'Avenir Labex (ANR-11-LABX-0012); Germany: Baden-Wurttemberg Stiftung (BW Stiftung-Postdoc Eliteprogramme), Deutsche Forschungsgemeinschaft (DFG -469666862, DFG -CR 312/5-2); Italy: Istituto Nazionale di Fisica Nucleare (ICSC, NextGenerationEU), Ministero dell'Universita e della Ricerca (PRIN -20223N7F8K -PNRR M4.C2.1.1); Japan: Japan Society for the Promotion of Science (JSPS KAKENHI JP21H05085, JSPS KAKENHI JP22H01227, JSPS KAKENHI JP22H04944, JSPS KAKENHI JP22KK0227); Netherlands: Netherlands Organisation for Scientific Research (NWO Veni 2020 -VI.Veni.202.179); Norway: Research Council of Norway (RCN-314472); Poland: Polish National Agency for Academic Exchange (PPN/PPO/2020/1/00002/U/00001), Polish National Science Centre (NCN 2021/42/E/ST2/00350, NCN OPUS nr 2022/47/B/ST2/03059, NCN UMO-2019/34/E/ST2/00393, NCN ; H2020 MSCA 945339, UMO-2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085); Slovenia: Slovenian Research Agency (ARIS grant J1-3010); Spain: Generalitat Valenciana (Artemisa, FEDER, IDIFEDER/2018/048), Ministry of Science and Innovation (MCIN ; NextGenEU PCI2022-135018-2, MICIN ; FEDER PID2021-125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164-I), PROMETEO and GenT Programmes Generalitat Valenciana (CIDEGENT/2019/023, CIDEGENT/2019/027); Sweden: Swedish Research Council (Swedish Research Council 2023-04654, VR 2018-00482, VR 2022-03845, VR 2022-04683, VR 2023-03403, VR grant 2021-03651), Knut and Alice Wallenberg Foundation (KAW 2018.0157, KAW 2018.0458, KAW 2019.0447, KAW 2022.0358); Switzerland: Swiss National Science Foundation (SNSF -PCEFP2_194658); United Kingdom: Leverhulme Trust (Leverhulme Trust RPG-2020-004), Royal Society (NIF-R1-231091); United States of America: U.S. Department of Energy (ECA DE-AC02-76SF00515), Neubauer Family Foundation.ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW; FWF, Austria; ANAS; CNPq; FAPESP, Brazil; NSERC; CFI, Canada; NSFC, China; MEYS CR, Czech Republic; DNRF; DNSRC, Denmark; IN2P3-CNRS; CEA-DRF/IRFU, France; BMBF; MPG, Germany; RGC and Hong Kong SAR, China; ISF; Benoziyo Center, Israel; INFN, Italy; MEXT; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; SRC; Wallenberg Foundation, Sweden; SNSF and Cantons of Bern and Geneva, Switzerland; NSTC, Taipei; STFC/UKRI, United Kingdom; DOE; NSF, United States of America; BCKDF; CANARIE; CRC; DRAC, Canada [PRIMUS 21/SCI/017]; FORTE, Czech Republic; ERC; ERDF; Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex; ANR, France; DFG; AvH Foundation, Germany - EU-ESF; Greek NSRF, Greece; BSF-NSF; NCN; La Caixa Banking Foundation; CERCA Programme Generalitat de Catalunya; PROMETEO [CIDEGENT/2019/023, CIDEGENT/2019/027]; Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society [NIF-R1-231091]; Leverhulme Trust, United Kingdom; CERN: European Organisation for Nuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT) [1190886]; FONDECYT [1230987]; China: Chinese Ministry of Science and Technology [MOST-2023YFA1605700]; National Natural Science Foundation of China [NSFC -12175119, NSFC 12275265, NSFC-12075060]; Czech Republic: Czech Science Foundation; Ministry of Education Youth and Sports [FORTE CZ.02.01.01/00/22_008/0004632]; PRIMUS Research Programme [PRIMUS/21/SCI/017]; EU [ERC -101002463]; European Union: European Research Council [ERC -948254, ERC 101089007, MUCCA -CHIST-ERA-19-XAI-00]; European Union [FAIR-NextGenerationEU PE00000013]; France: Agence Nationale de la Recherche [ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022, ANR-22-EDIR-0002]; Investissements d'Avenir Labex; Germany: Baden-Wurttemberg Stiftung; Deutsche Forschungsgemeinschaft [DFG -469666862, CR 312/5-2]; Ministero dell'Universita e della Ricerca; Japan Society for the Promotion of Science (JSPS KAKENHI) [JP21H05085, JP22H01227, JP22H04944, JP22KK0227, RCN-314472]; Polish National Agency for Academic Exchange [PPN/PPO/2020/1/00002/U/00001]; Polish National Science Centre (NCN) [2021/42/E/ST2/00350]; NCN OPUS [2022/47/B/ST2/03059, UMO-2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085]; Slovenian Research Agency [J1-3010]; Spain: Generalitat Valenciana [IDIFEDER/2018/048, NextGenEU PCI2022-135018-2]; MICIN FEDER [PID2021-125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164-I]; Swedish Research Council (Swedish Research Council) [2023-04654, VR 2018-00482, VR 2022-03845, VR 2022-04683, VR 2023-03403, 2021-03651]; Knut and Alice Wallenberg Foundation [KAW 2018.0157, KAW 2018.0458, KAW 2019.0447, SNSF -PCEFP2_194658]; United Kingdom: Leverhulme Trust (Leverhulme Trust) [RPG-2020-004]; United States of America [ECA DE-AC02-76SF00515]; Neubauer Family Foundatio
The Political Economy of Turkey-Iran Relations: A Discussion of Variegated Capitalism and Underperformance after the JCPOA
No full text[No Abstract Available
Turkey’s Energy Diplomacy and Instrumentalization of Hard Power
No full textRegional instabilities have challenged Turkey’s energy diplomacy in its energy-rich neighbourhood. This article examines to what extent and how Turkey instrumentalized hard power politics to secure and diversify its natural gas imports for its domestic market and for its role as a potential export hub in its energy diplomacy. Four cases, namely pipeline projects, which are already under operation or planning to transport crude oil/natural gas from Azerbaijan, Russia, Iraq, and the Eastern Mediterranean, are presented to bring a plausible explanation for Turkey’s ascending inclination towards use or threat of force in its energy diplomacy between 2015 and 2022. This article argues that not only rationally calculated strategic interests to manage security-related threats that challenge access to energy resources for pipeline projects but also the foreign policy elite’s framing of material interests in energy projects in line with ideational factors in domestic politics function as filters in Ankara’s instrumentalization of hard power in energy diplomacy. © 2024 Informa UK Limited, trading as Taylor ; Francis Group