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    Acute Pancreatitis in Turkey: Results of a Nationwide Multicenter Study

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    ALTINTAS, Engin/0000-0003-0796-1456; SAGLAM, Osman/0000-0003-0779-992X; Soyturk, Mujde/0000-0002-2646-639X; tozlu, mukaddes/0000-0002-8534-8027Background: Acute pancreatitis (AP) is the most common gastrointestinal disease requiring hospitalization, with significant mortality and morbidity. We aimed to evaluate the clinical characteristics of AP and physicians ' compliance with international guidelines during its management. Methods: All patients with AP who were hospitalized at 17 tertiary centers in Turkey between April and October 2022 were evaluated in a prospective cohort study. Patients with insufficient data, COVID-19 and those aged below 18 years were excluded. The definitions were based on the 2012 revised Atlanta criteria. Results: The study included 2144 patients (median age:58, 52 % female). The most common etiologies were biliary (n = 1438, 67.1 %), idiopathic (n = 259, 12 %), hypertriglyceridemia (n = 128, 6 %) and alcohol (n = 90, 4.2 %). Disease severity was mild in 1567 (73.1 %), moderate in 521 (24.3 %), and severe in 58 (2.6 %) patients. Morphology was necrotizing in 4.7 % of the patients. The overall mortality rate was 1.6 %. PASS and BISAP had the highest accuracy in predicting severe pancreatitis on admission (AUC:0.85 and 0.81, respectively). CT was performed in 61 % of the patients, with the majority (90 %) being within 72 h after admission. Prophylactic NSAIDs were not administered in 44 % of the patients with post-ERCP pancreatitis (n = 86). Antibiotics were administered to 53.7 % of the patients, and 38 % of those received them prophylactically. Conclusions: This prospective study provides an extensive report on clinical characteristics, management and outcomes of AP in real -world practice. Mortality remains high in severe cases and physicians ' adherence to guidelines during management of the disease needs improvement in some aspects. (c) 2023 IAP and EPC. Published by Elsevier B.V. All rights reserved

    The Application of Relationsip Marketing Dimensions To Fast Moving Consumer Goods (FMCG)

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    Bu çalışmanın amacı, ilişki pazarlaması boyutlarından olan güven, bağlılık, iletişim ve empatinin hızlı tüketim ürünlerine uygulanabilirliğini incelemektir. Araştırma, 25-40 yaşları arasında, İstanbul, Ankara ve İzmir'de yaşayan katılımcılarla gerçekleştirilen yarı yapılandırılmış mülakatlar yoluyla veri toplama yöntemine dayanmaktadır. Elde edilen veriler, nitel bir araştırma yöntemi olan tematik analiz ile değerlendirilmiştir. Çalışmanın temel araştırma soruları, 'İlişki pazarlaması boyutları hızlı tüketim ürünlerine nasıl uygulanabilir?' ve 'Türkiye'deki tüketiciler, ilişki pazarlaması boyutlarını hızlı tüketim ürünlerinde nasıl algılamaktadır?' şeklinde belirlenmiştir. Araştırma bulguları, ilişki pazarlamasının güven, bağlılık, iletişim ve empati boyutlarının yalnızca belirli bir sektör ya da ürün türüne bağlı kalmaksızın uygulanabileceğini göstermektedir. Bu boyutların, marka değerleri, ürün kalitesi, ürün ambalajı, içerik, müşteri hizmetleri ve medya kanalları (özellikle televizyon ve sosyal medya) gibi çeşitli unsurlar aracılığıyla hızlı tüketim ürünlerine entegre edilebileceği ortaya konmuştur. Bu bulgular, ilişki pazarlamasının çok boyutlu bir strateji olarak, tüketici etkileşiminde ve marka algısında önemli bir rol oynadığını ve farklı pazarlama kanallarında uygulanabilirliğini vurgulamaktadır.This study investigates the applicability of the relationship marketing dimensions of trust, commitment, communication, and empathy to fast-moving consumer goods (FMCG). The research is based on data collected through semi-structured interviews with participants aged 25-40, residing in Istanbul, Ankara, and Izmir. The data obtained were analyzed using thematic analysis, a qualitative research method. The primary research questions of the study are: 'How can the dimensions of relationship marketing be applied to fast-moving consumer goods?' and 'How do consumers in Turkey perceive the dimensions of relationship marketing about fast-moving consumer goods?' The research findings indicate that the dimensions of relationship marketing—trust, commitment, communication, and empathy—can be applied across various sectors and product types. In the context of fast-moving consumer goods (FMCG), these dimensions can be integrated through elements such as brand values, product quality, packaging, content, customer service, and various media channels. The findings highlight that relationship marketing, as a multifaceted strategy, significantly influences consumer interactions and brand perception, and is applicable across different marketing channels

    Search for R-Parity Violating Supersymmetric Decays of the Top Squark To a B-Jet and a Lepton in √s=13 Tev Pp Collisions With the Atlas Detector

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    Aboulhorma, Asmaa/0000-0002-9987-2292; Fiorini, Luca/0000-0002-5070-2735; Mlinarevic, Marin/0000-0003-3587-646X; Butterworth, Jonathan/0000-0002-5905-5394; Stanislaus, Beojan/0000-0001-9007-7658; Gwilliam, Carl/0000-0002-9401-5304; Tian, Yusong/0000-0001-8739-9250; Ragusa, Francesco/0000-0002-4064-0489; Petersen, Troels/0000-0003-0221-3037; D'Auria, Saverio/0000-0003-3393-6318; Abramowicz, Halina/0000-0001-5329-6640; Calafiura, Paolo/0000-0002-1692-1678; Gee, Carolyn/0000-0002-3271-7861; Ventura, Andrea/0000-0002-3368-3413; Mazzeo, Elena/0000-0002-8406-0195; Rompotis, Nikolaos/0000-0003-2577-1875; Camplani, Alessandra/0000-0002-6386-9788; Kretzschmar, Jan/0000-0002-8515-1355; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Sala, Alessandro/0000-0003-0824-7326; Aad, Georges/0000-0002-6665-4934; Canbay, Ali Can/0000-0003-4602-473X; Abicht, Nils Julius/0000-0001-5763-2760; Nasella, Laura/0000-0002-4871-784X; Carbone, Antonio/0000-0002-4117-3800; Mitsou, Vasiliki A./0000-0002-1533-8886; Nellist, Clara/0000-0002-5171-8579; Abdelhameed, Sara/0000-0002-0287-5869; Konstantinidis, Nikolaos/0000-0002-4140-6360; Abbott, Braden/0000-0002-5888-2734; Fernandez-Martinez, Pablo/0000-0002-7818-6971A search is presented for direct pair production of the stop, the supersymmetric partner of the top quark, in a decay through an R-parity violating coupling to a charged lepton and a b-quark. The dataset corresponds to an integrated luminosity of 140 fb(-1) of proton-proton collisions at a center-of-mass energy of root s = 13 TeV collected between 2015 and 2018 by the ATLAS detector at the LHC. The final state has two charged leptons (electrons or muons) and two b-jets. The results of the search are interpreted in the context of a Minimal Supersymmetric Standard Model with an additional B - L gauge symmetry that is spontaneously broken. No significant excess is observed over the Standard Model background, and exclusion limits on stop pair production are set at 95% confidence level. The corresponding lower limits on the stop mass for 100% branching ratios to a b-quark and an electron, muon, or tau-lepton are 1.9 TeV, 1.8 TeV and 800 GeV, respectively, extending the reach of previous LHC searches.We thank CERN for the very successful operation of the LHC and its injectors, as well as the support staff at CERN and at our institutions worldwide without whom ATLAS could not be operated efficiently. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF/SFU (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [106]. 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; CERN-CZ, FORTE and PRIMUS, 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; and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and MINERVA, Israel; 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 Armenia: Yerevan Physics Institute (FAPERJ); CERN: European Organization for Nuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT 1230812, FONDECYT 1230987, FONDECYT 1240864); China: Chinese Ministry of Science and Technology (MOST2023YFA1605700), 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), EuropeanUnion, FutureArtificial 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-EDIR0002), 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'Universit`a e della Ricerca (PRIN-20223N7F8K-PNRR M4.C2.1.1); Japan: Japan Society for the Promotion of Science (JSPS KAKENHI JP22H01227, JSPS KAKENHI JP22H04944, JSPS KAKENHI JP22KK0227, JSPS KAKENHI JP23KK0245); Netherlands: Netherlands Organisation for Scientific Research (NWO Veni 2020-VI.Veni.202.179); Norway: Research Council of Norway (RCN-314472); Poland: Ministry of Science and Higher Education (IDUB AGH, POB8, D4 no 9722), 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 No. 2022/47/B/ST2/03059, NCN UMO-2019/34/E/ST2/00393, 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 No. 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/2019/027); Sweden: Swedish Research Council (Swedish Research Council 2023-04654, VR 2018-00482, VR 2022-03845, VR 2022-04683, VR 2023-03403, VR 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.CERN; NDGF (Denmark, Norway, Sweden); KIT/GridKA (Germany); INFN-CNAF (Italy); NL-T1 (Netherlands), PIC (Spain); BNL (USA) [106]; 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; FORTE; PRIMUS, Czech Republic; ERC; ERDF; Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex; ANR, France - EU-ESF; Greek NSRF, Greece; BSF-NSF; NCN [UMO-2019/34/E/ST2/00393, UMO-2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085]; La Caixa Banking Foundation; CERCA Programme Generalitat de Catalunya; PROMETEO; Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society [NIF-R1-231091]; Leverhulme Trust, United Kingdom; Armenia: Yerevan Physics Institute (FAPERJ); CERN: European Organization for Nuclear Research; Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT) [1230812]; FONDECYT [1240864]; China: Chinese Ministry of Science and Technology [MOST2023YFA1605700]; 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 [ERC-101002463]; European Union: European Research Council [ERC-948254, ERC 101089007, MUCCA-CHIST-ERA-19-XAI-00, FAIR-NextGenerationEU PE00000013]; France: Agence Nationale de la Recherche [ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022, ANR-22-EDIR0002]; Investissements d'Avenir Labex; Germany: Baden-Wurttemberg Stiftung; Deutsche Forschungsgemeinschaft [DFG-469666862]; Ministero dell'Universit; Japan Society for the Promotion of Science (JSPS KAKENHI) [JP22H01227, JP22H04944, JP22KK0227, JP23KK0245, NWO Veni 2020-VI]; Norway: Research Council of Norway [RCN-314472]; Ministry of Science and Higher Education [9722]; 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]; Slovenian Research Agency [J1-3010]; Spain: Generalitat Valenciana (Artemisa, FEDER) [IDIFEDER/2018/048]; Ministry of Science and Innovation [NextGenEU PCI2022-135018-2]; MICIN FEDER [PID2021-125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164-I]; GenT Programmes Generalitat Valenciana [CIDEGENT/2019/027]; Swedish Research Council (Swedish Research Council) [2023-04654, VR 2018-00482, VR 2022-03845, VR 2022-04683, VR 2023-03403, VR 2021-03651]; Knut and Alice Wallenberg Foundation [KAW 2018.0157, KAW 2018.0458, KAW 2019.0447]; Swiss National Science Foundation [SNSF-PCEFP2_194658]; United Kingdom: Leverhulme Trust (Leverhulme Trust) [RPG-2020-004]; United States of America [ECA DE-AC02-76SF00515]; Neubauer Family Foundatio

    Effect of Composite Coldplate on Thermal Performance of a Ev Battery Module

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    10th World Congress on Mechanical, Chemical, and Material Engineering, MCM 2024 -- 22 August 2024 through 24 August 2024 -- Barcelona -- 318889AVESTIA; AzerGold; International Asset; THE HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGYElectric cars have been growing in popularity as it is anticipated that they will help reduce the usage of fossil fuels by 2030. One of the most important components of these vehicles is the battery. Lithium-ion batteries are commonly used in electric cars due to their higher life cycles, energy density, and lower cost compared to alternative options. While the generally acceptable operating temperature range for lithium-ion batteries is between -20 °C and 60 °C [1], the optimal operating temperature range is between 15 °C and 35 °C. High operating temperatures accelerate battery degradation, and extreme temperatures can cause chemical decomposition of cells, leading to thermal runaway [2]. Therefore, proper thermal management of these batteries is essential for their longevity and safety. Air cooling, liquid cooling, and cooling using phase change materials are the three most common methods for battery thermal management. While air cooling often falls short in removing energy from the system, phase change materials require precise temperature control, regular replacement, and are expensive. Thus, liquid cooling is generally used for battery cooling. Liquid cooling is implemented through a cold plate, which acts as an interface between the battery pack and the working fluid. Cold plates need to have high thermal conductivity to transfer heat, be lightweight to reduce stress on the battery, and be durable to prevent leakage. While two of these properties are easily found in common materials, there is no single affordable and feasible material that provides all three properties simultaneously. For this reason, in this study, it was considered that composite materials would be an excellent area for plate design to provide all these properties with certain trade-offs. Aluminium and copper are the most common materials for cold plate design. Although aluminium has lower thermal conductivity compared to copper, it is significantly lighter, less expensive, and easier to machine.Therefore, aluminium and copper are considered for designing composite plates. The aim of the study is to determine the effect of silicon thickness on battery performance of aluminium-silicon composite plates at different charge/discharge rates. A battery module consists of 36 pouch-type batteries (12 in series, 3 in parallel configuration), and various serpentine-type aluminium-silicon composite plates are designed. Multi Scale-Multi Domain (MSMD) and Newman, Tiedemann, Gu, Kim (NTDK) models are used to specify charge/discharge characteristics and volumetric heat generation of the battery, respectively. The K-epsilon turbulence model with standard wall function is used to simulate fluid flow. A 50-50 glycol-water mixture is used as the working fluid. The results show that the initially designed plates ensure that the battery module remains within the operating temperature range for different discharge rates. Additionally, an increase in silicon thickness reduces the heat transfer rate, consequently increasing the battery temperature. This is expected as the thermal conductivity of silicon is three orders of magnitude lower than that of aluminium. However, it is predicted that the cold plate will have an optimum heat transfer-to-weight ratio that can affect the thermal performance of the battery module. © 2024, Avestia Publishing. All rights reserved

    Evaluation of the Mechanical Behaviour of the Expandable Wedge Locked Nail Fixation in Retrograde Use: a Finite Element Study

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    Introduction: In literature, there have been many studies conducted to research the alternatives of standard interlocking intramedullary nailing. The expandable wedge locked nail fixation, which is thought as a new alternative to the standard interlocking nailing, has been presented in previous numerical studies. The antegrade usage of the wedge locked nail fixation has provided promising results. From this point, the aim of the study is to evaluate mechanical behavior of its retrograde usage on femur models. Additionally, another aim of the study is to investigate the effect of fracture level on mechanical properties of the fixation. Materials and methods: The mechanical behaviors of the wedge locked nail and standard interlocking nail fixations were compared by finite element methods. Sawbones femurs having osteotomies at five different levels to simulate different fractures were fixed with wedge locked nail or interlocking nail by using retrograde approach. With respect to the fracture level, two different nail lengths were used. Axial compression load was applied to fixations. The mechanical behaviors of the fixations were evaluated with respect to stiffness of the fixations and stresses occurred on both implants and bones. Results: Any of the wedge locked nail fixation did not slip at canal. The stress and stiffness results were mostly close with each other for both nail types. The maximum stresses at locking elements or bones contacting these elements increased with decreased distance between the fracture and relevant locking elements. Discussion: The wedge locked nail fixation showed comparable results to the standard interlocking nail fixation with respect to the stiffness and stress. Under axial loading, wedge locked nail provided a secured fixation without any slippage and preserved its position inside the medullary canal. It may be thought as a safe alternative to the standard interlocking nail fixation for retrograde usage. Additionally, according to stress results, it is advised to the surgeons to avoid a close locking to the fracture line. © 2024 Elsevier Lt

    Biomarkers of Nrf2 Signalling: Current Status and Future Challenges

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    The cytoprotective transcription factor NRF2 regulates the expression of several hundred genes in mammalian cells and is a promising therapeutic target in a number of diseases associated with oxidative stress and inflammation. Hence, an ability to monitor basal and inducible NRF2 signalling is vital for mechanistic understanding in translational studies. Due to some caveats related to the direct measurement of NRF2 levels, the modulation of NRF2 activity is typically determined by measuring changes in the expression of one or more of its target genes and/or the associated protein products. However, there is a lack of consensus regarding the most relevant set of these genes/proteins that best represents NRF2 activity across cell types and species. We present the findings of a comprehensive literature search that according to stringent criteria identifies GCLC, GCLM, HMOX1, NQO1, SRXN1 and TXNRD1 as a robust panel of markers that are directly regulated by NRF2 in multiple cell and tissue types. We assess the relevance of these markers in clinically accessible biofluids and highlight future challenges in the development and use of NRF2 biomarkers in humans. © 2024 The AuthorsEuropean Cooperation in Science and Technology, COST: CA20121; Medical Research Council, MRC: MR/X007413/

    Performance of the Atlas Forward Proton Time-Of Detector in Run 2

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    Burghgrave, Blake/0000-0001-5686-0948; Rotaru, Marina/0000-0003-4088-6275; Cindro, Vladimir/0000-0002-2037-7185; Liu, Xinyan/0000-0003-1890-2275; Delitzsch, Chris Malena/0000-0001-7021-3333; Mueller, James/0000-0001-5099-4718; Betti, Alessandra/0000-0003-0839-9311; Leight, William/0000-0002-2968-7841; Cueto Gomez, Ana Rosario/0000-0003-1494-7898; Mlinarevic, Marin/0000-0003-3587-646X; Zenz, Seth/0000-0002-9720-1794; Thompson, Emily Anne/0000-0001-7050-8203; Aoki, Masato/0000-0001-7498-0097; Kay, Ellis/0000-0002-6304-3230; Doyle, Anthony/0000-0001-6322-6195; Balasubramanian, Rahul/0000-0001-5840-1788; Nasri, Salah/0000-0002-5985-4567; Kirk, Julie/0000-0001-8096-7577; Rossi, Elvira/0000-0001-9476-9854; Bhattarai, Prajita/0000-0001-9977-0416; De Vivie, Jean-Baptiste/0000-0001-9163-2211; Mogg, Philipp/0000-0003-2688-234X; Onyisi, Peter/0000-0003-4201-7997; Chapon, Emilien/0000-0001-6968-9828; Mtintsilana, Onesimo/0000-0003-2168-4854; Dimitriadi, Christina/0000-0002-9605-3558; Barreiro, Fernando/0000-0002-3021-0258; Schoeffel, Laurent/0000-0002-8081-2353; Raine, John/0000-0002-5987-4648; Bandyopadhyay, Anjishnu/0000-0002-5256-839X; Heim, Sarah/0000-0002-2639-6571; Draguet, Maxence/0000-0003-1530-0519; Ezhilov, Alexey/0000-0002-7520-293X; Oyulmaz, Kaan Yuksel/0000-0002-5533-9621; Nobe, Takuya/0000-0002-5809-325X; Lewicki, Maciej Piotr/0000-0002-8972-3066; Bevan, Adrian/0000-0002-4105-9629; Beacham, James/0000-0003-3623-3335; Kono, Takanori/0000-0003-1553-2950; Wiedenmann, Werner/0000-0003-3605-3633; Buttar, Craig/0000-0003-0188-6491; Zakharchuk, Nataliia/0000-0002-4963-8836; Umaka, Ejiro/0000-0001-7725-8227; Han, Kunlin/0000-0002-1627-4810; Nisati, Aleandro/0000-0002-5080-2293; Derendarz, Dominik/0000-0001-5660-3095; Kempster, Jacob/0000-0003-4168-3373; Karpova, Zoya/0000-0003-0254-4629; Albert, Justin/0000-0003-0253-2505; Ventura-Gonzalez, Salvador/0000-0001-5246-0779; Leroy, Claude/0000-0003-3105-7045; Weber, Michele/0000-0002-2770-9031; Barisits, Martin/0000-0003-0253-106X; Dallapiccola, Carlo/0000-0002-1391-2477; Hopkins, Walter/0000-0001-7814-8740; Masetti, Lucia/0000-0002-0038-5372; Pollard, Christopher/0000-0002-3690-3960; Vivarelli, Iacopo/0000-0003-0097-123X; Wang, Renjie/0000-0002-5059-8456; Themistokleous, Neofytos/0000-0003-1882-5572; Yang, Siqi/0000-0002-0204-984X; Bakos, Evelin/0000-0002-1110-4433; Li, Liang/0000-0001-6411-6107; Clark, Allan/0000-0001-8341-5911; Arnaez, Olivier/0000-0002-6096-0893; Ebrahim, Abdualazem/0000-0002-5003-1919; Rurikova, Zuzana/0000-0003-3051-9607; Brost, Elizabeth/0000-0002-6800-9808; Deliot, Frederic/0000-0003-0777-6031; Tal Hod, Noam/0000-0001-5241-0544; Bruscino, Nello/0000-0002-6168-689X; Shen, Qiuping/0000-0002-4085-1227; Atkin, Ryan/0000-0002-1972-1006; Chwastowski, Janusz/0000-0002-6190-8376; Makovec, Nikola/0000-0001-5124-904X; Sfyrla, Anna/0000-0002-3003-9905; Saoucha, Kamal/0000-0001-9150-640X; Camarda, Stefano/0000-0003-0479-7689; Castro, Nuno/0000-0001-8491-4376; Masubuchi, Tatsuya/0000-0001-9984-8009; Baldin, Evgenii/0000-0002-9854-975X; Vranjes, Nenad/0000-0001-5415-5225; 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Bianchi, Riccardo Maria/0000-0001-7345-7798; Walkowiak, Wolfgang/0000-0002-0385-3784; Auriol, Adrien/0000-0002-3623-1228; Stucci, Stefania/0000-0002-1639-4484; Liu, Mingyi/0000-0002-0236-5404; Sauvan, Emmanuel/0000-0003-1921-2647; Baines, John/0000-0003-0770-2702; Les, Robert/0000-0002-8875-1399; Hadef, Asma/0000-0003-2508-0628; Duda, Dominik/0000-0002-5916-3467; Hansen, Peter Henrik/0000-0002-6764-4789; Barr, Alan/0000-0002-3533-3740; Wengler, Thorsten/0000-0002-4375-5265; Camarero Munoz, Daniel/0000-0002-2855-7738; Lester, Christopher Gorham/0000-0001-5770-4883; Artoni, Giacomo/0000-0002-3477-4499; Monzani, Simone/0000-0002-0479-2207; Cepaitis, Vilius/0000-0002-4809-4056; Vazquez Schroeder, Tamara/0000-0002-9780-099X; , Elham E Khoda/0000-0001-8720-6615; Herde, Hannah/0000-0001-8926-6734; Cristinziani, Markus/0000-0003-3893-9171; Jimenez Pena, Javier/0000-0002-8705-628X; Suchy, Daniel/0009-0007-2966-1063; Ould-Saada, Farid/0000-0002-9404-835X; Feligioni, Lorenzo/0000-0002-1403-0951; 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    Design of an Energy Efficient Cylindrical Roller Bearing

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    Acar, Erdem/0000-0002-3661-5563; Guler, Mehmet/0000-0002-1159-556XIn this study, the roller and ring raceway profiles of a cylindrical roller bearing (CRB) are designed. Starting from an initial design (i.e., an existing CRB, named NJ 309 EP4), it is intended to minimize the friction moment without sacrificing the fatigue life to have an energy efficient roller bearing. The crown heights in the roller profile, and the radius of the raceway camber profile are selected as design variables. Finite element models are developed for friction moment and fatigue life estimation using ANSYS software. Various combinations of the crown height and the radius of the raceway camber profile are evaluated, and the combination leading to minimum friction moment without sacrificing the fatigue life is obtained (i.e., a redesigned CRB is obtained). Friction moment tests and fatigue tests are conducted on the redesigned CRB (named NJ 309 OP). When the test results of the existing and redesigned bearings are compared, it is found that the friction moment of the redesigned bearing is 29% lower than that of the existing bearing, while the L-10 fatigue life being only 3% smaller. When the test results are evaluated statistically, it is concluded that the difference between the friction moment test results of the existing and redesigned bearings is statistically significant, whereas the difference between the fatigue test results of the existing and redesigned bearings is statistically insignificant.The funding provided by the TUBITAK and ORS, Ortadogu Rulman Sanayi ve Tic. A.S., under Grant No. 5180049 is gratefully acknowledged.TUBITAK; ORS, Ortadogu Rulman Sanayi ve Tic. A.S [5180049

    Çocukluk Çağı Akran Zorbalığının Fiziksel Görünüme Dayalı Sosyal Karşılaştırmayla İlişkisinde Öz-şefkatin Aracı Rolü

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    İnsanlar hayatlarının önemli bir bölümünde başkalarıyla etkileşim halindedir. İnsanların kendilerine ilişkin algıları bu etkileşimler tarafından şekillenmekte ve bu etkileşimler aynı zamanda kendilerini nasıl gösterdiklerini de etkilemektedir. Çocukluk çağında bireylerin akranları ile kurduğu iletişim yetişkinlikte de çevreleri ile olan iletişimlerini ve kendilerine karşı tutumlarını farklı şekillerde etkilemektedir. Yapılan araştırmalar çocukluk çağı akran zorbalığına uğramış bireylerin öz-şefkat seviyelerinin daha düşük olduğunu ve kendilerini akranlarına kıyasla daha değersiz, güçsüz, itici vb. hissettiklerini söylemektedir. Bu araştırmalarda sosyal karşılaştırmanın fiziksel boyutuna bakılmamış ve sosyal medya üzerinde konunun çalışılmamış olması araştırmanın amacını oluşturmuştur. Yapılan korelasyon ve aracı değişken analizleri sonrası, öz-şefkatin çocukluk çağı akran zorbalığı ve fiziksel görünüme dayalı sosyal karşılaştırma arasında tam aracılık rolü olduğu görülmüştür. Bulgular çocuklukta akran zorbalığına uğramış bireylerin yetişkinlikte öz-şefkat seviyelerinin düşük olduğunu ve öz-şefkat seviyeleri düşük olan bireylerin daha olumsuz fiziksel görünüme dayalı sosyal karşılaştırma yapmaya meyilli olduğunu göstermektedir. Cinsiyetin ise bu ilişkide düzenleyici bir rolünün olmadığı görülmüştür. Sonuçlar alanyazından elde edilen bilgiler çerçevesinde değerlendirilmiş olup, araştırmanın alanyazına katkısı, sınırlılıkları ve gelecekteki araştırmalar için öneriler sunulmuştur.People engage with others for a significant portion of their life. People's perceptions of themselves are shaped by these interactions, which also affect how they show themselves. The communication that individuals establish with their peers in childhood affects their communication with their environment and attitudes towards themselves in adulthood, in different ways. Previous studies have shown that individuals who were bullied in childhood have lower levels of self-compassion and perceive themselves as more worthless, weak, unattractive, etc., compared to their peers. The aim of the research was that the physical dimension of social comparison was not examined in these studies and the subject was not studied on social media. After the correlation and mediator variable analyses, it was seen that self-compassion had a full mediating role between childhood peer bullying and social comparison based on physical appearance. Findings show that individuals who were bullied in childhood have low self-compassion levels in adulthood, and individuals with low self-compassion levels tend to make social comparisons based on more negative physical appearance. It has been observed that gender does not have a moderator role in this relationship. The results were evaluated within the framework of the information obtained from the literature, and the contribution of the study to the literature, its limitations and suggestions for future research were presented

    Kara Kutudan Şeffaflığa: Mimari Tasarımda Yapay Zeka Destekli Ortak Yaratımdaki İlerlemeler

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    Bu tez, yapay zekanın (AI) mimari tasarım süreçlerine entegrasyonunu ve bu teknolojilerin yaratıcı uygulamalar üzerindeki etkilerini incelerken, aynı zamanda yapay zeka araçlarının 'kara kutu' doğasıyla ilgili ortaya çıkan sınırlamaları da ele almaktadır. Özellikle makine öğrenimi ve derin öğrenme algoritmaları kullanan yapay zeka teknolojileri, mimarlık alanında giderek artan bir şekilde kullanılmakta ve tasarım üretimi, analiz ve optimizasyon gibi alanlarda yeni araçlar sunmaktadır. Ancak, bu teknolojilerin opak yapısı, kullanıcıların bu araçları anlamasını ve kontrol etmesini zorlaştırmakta ve onları tasarım sürecinde etkin bir ortak olarak kullanmanın önünde engeller yaratmaktadır. Bu duruma bir alternatif olarak 'gray box' yaklaşımı önerilmektedir. Araştırma, Stable Diffusion, Midjourney, ZoeDepth, GhPython, Blender, ChatGPT, Tripo AI ve Comfy UI gibi araçları içeren, hem 2D hem de 3D üretim için yapay zeka destekli çeşitli yöntemleri incelemektedir. Bu araçlar üzerinde yapılan deneysel çalışmalar, görselleştirme ve modelleme yetenekleri gibi güçlü yönleri vurgularken, aynı zamanda şeffaflık eksikliği ve sınırlı kullanıcı etkileşimi gibi zayıf yönleri de ortaya koymaktadır. Çalışma, AI ile insan tasarımcılar arasındaki ortak yaratımın xii güncel durumuna dair bir değerlendirme sunmaktadır. Daha etkileşimli ve açıklanabilir yapay zeka sistemlerine (XAI) duyulan ihtiyacı vurgulayarak, mimarların yapay zeka araçlarının çıktıları üzerinde daha fazla anlayış ve etkiye sahip olmalarının sağlanması ve böylece daha etkili bir ortak yaratım sürecinin mümkün kılınması gerektiğini belirtmektedir. Bu çalışma, mimari amaçlar için özel olarak tasarlanmış yapay zeka araçlarının geliştirilmesini savunmakta ve XAI gibi metodolojilerin entegrasyonunun şeffaflığı ve kullanıcı katılımını artırarak yapay zekanın tasarım iş akışlarında daha yaratıcı bir şekilde kullanılmasını mümkün kılabileceğini öne sürmektedir. XAI, yapay zeka sistemlerinin karar verme süreçlerini mimarlara açıklayarak ve anlamalarını sağlayarak güveni artırabilir ve yapay zekanın tasarım süreçlerinde daha etkin bir ortak yaratıcı olarak yer almasını sağlayabilir. Tez ayrıca, yapay zekanın pasif bir araçtan aktif bir ortak yaratıcıya dönüştüğü bir rolü tartışmakta; bu senaryoda yapay zekanın yalnızca tasarım seçenekleri üretmekle kalmayıp, aynı zamanda insan tasarımcılarla dinamik ve geri bildirim odaklı bir etkileşim sürecine girebileceği vurgulanmaktadır.This thesis examines the integration of artificial intelligence (AI) into architectural design processes and explores the impact of these technologies on creative practices, while also addressing the limitations that arise from the 'black box' nature of AI tools. AI technologies, particularly those using machine learning and deep learning algorithms, are increasingly being utilized in architecture, providing new tools for design generation, analysis, and optimization. However, the opaque nature of these technologies can make it challenging for users to understand and control these tools, creating barriers to their effective use as collaborative partners in the design process. As an alternative to this, a 'gray box' approach is suggested. The research explores various AI-supported methods for both 2D and 3D production, including tools such as Stable Diffusion, Midjourney, ZoeDepth, GhPython, Blender, ChatGPT, Tripo AI, and Comfy UI. Experimental studies using these tools highlight their strengths, such as visualization and modeling capabilities, while also revealing weaknesses like lack of transparency and limited user interaction. The study provides an assessment of the current state of co-creation between AI and human designers in practice. It emphasizes the need for more interactive and explainable AI systems (XAI) to give architects a better understanding and influence over the outputs of AI tools, thus enabling a more effective co-creation process. x This work advocates for the development of AI tools specifically designed for architectural purposes and suggests that integrating methodologies like XAI could enhance transparency and user engagement, making AI more creatively useful within design workflows. XAI could increase trust by making AI systems' decision-making processes more understandable to architects and could enable AI to serve as a more effective co-creator in design processes. Additionally, the thesis explores the potential for AI to evolve from a passive tool to an active co-creator, where AI not only generates design options but also interacts dynamically with human designers in a feedback-driven process

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