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    Meditating Roles of Empathy, Quiet Ego and Emotional Intelligence in the Relationship Between Therapist Mindfulness and Cultural Humility

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    Bugüne kadar kültürel tevazunun bilinçli farkındalık, empati, sessiz benlik ve duygusal zekâ ile ilişkisini psikoterapist bir örneklemle inceleyen bir araştırma yapılmamıştır. Ayrıca, kültürel tevazu ile bilinçli farkındalık arasındaki ilişkide empatinin, sessiz benliğin ve duygusal zekanın aracı rolleri incelenmemiştir. Bu çalışma bu ilişkileri araştırmayı amaçlamıştır. Çalışmanın örneklemi aktif olarak terapi hizmeti veren 205 psikoterapistten oluşmaktadır. Değişkenleri ölçmek için Beş Faktörlü Bilgece Farkındalık Ölçeği - Kısa Formu, Kültürel Tevazu Ölçeği, Temel Empati Ölçeği, Sakin Benlik Ölçeği ve Duygusal Zeka Ölçeği uygulanmıştır. Hipotezler, aracılık analizi ile test edilmiştir. Bulgular, kültürel tevazunun diğer tüm değişkenlerle pozitif ilişkili olduğunu ortaya koymuştur. Ancak bilinçli farkındalık, beklenenin aksine empati ile ilişkili bulunmamıştır. Bu nedenle empatinin alt boyutlarının (bilişsel ve duygusal empati) incelenmesine karar verilmiştir. Bunun sonucunda, terapistlerin bilinçli farkındalık ve kültürel tevazusunun yalnızca bilişsel empatiyle pozitif ilişkili olduğu bulunmuştur. Aracılık analizinde de empati ölçeğinin tamamı yerine alt boyutları kullanılmıştır. Aracılık analizi sonucunda kültürel tevazu ile bilinçli farkındalık arasındaki ilişkide bilişsel empatinin, sessiz benliğin ve duygusal zekanın her birinin kısmen aracılık ettiği ortaya konmuştur. Bulgular, mevcut alanyazın kapsamında tartışılmıştır.No research has explored the association of cultural humility with mindfulness, empathy, quiet ego, and emotional intelligence among psychotherapists. Furthermore, the mediating roles of empathy, quiet ego, and emotional intelligence in the relationship between mindfulness and cultural humility have not been investigated. This study aimed to address these gaps. The sample of this study consisted of 205 psychotherapists who are currently providing therapy. To measure the constructs, Five Facet Mindfulness Questionnaire - Short Form, Cultural Humility Scale, Basic Empathy Scale, Quiet Ego Scale, and Emotional Intelligence Scale were used. To test the hypotheses, mediation analysis was conducted. The findings revealed that cultural humility was positively associated with all constructs. However, mindfulness was not associated with empathy as hypothesized. Therefore, the components of empathy (cognitive and affective empathy) were examined. It was found that the mindfulness and cultural humility had a positive relationship only with cognitive empathy. Consequently, the mediation analysis was conducted using the components of empathy rather than the entire scale. The results revealed that cognitive empathy, quiet ego, and emotional intelligence fully mediated the relationship between mindfulness and cultural humility. The interpretation of the findings was discussed within the scope of the literature

    Combination of Searches for Heavy Spin-1 Resonances Using 139 Fb-1 of Proton-Proton Collision Data at √s=13 Tev With the Atlas Detector

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    A combination of searches for new heavy spin-1 resonances decaying into different pairings of W, Z, or Higgs bosons, as well as directly into leptons or quarks, is presented. The data sample used corresponds to 139 fb(-1) of proton-proton collisions at root s = 13 TeV collected during 2015-2018 with the ATLAS detector at the CERN Large Hadron Collider. Analyses selecting quark pairs (qq, bb, t (t) over bar, and tb) or third-generation leptons (tau nu and tau tau) are included in this kind of combination for the first time. A simplified model predicting a spin-1 heavy vector-boson triplet is used. Cross-section limits are set at the 95% confidence level and are compared with predictions for the benchmark model. These limits are also expressed in terms of constraints on couplings of the heavy vector-boson triplet to quarks, leptons, and the Higgs boson. The complementarity of the various analyses increases the sensitivity to new physics, and the resulting constraints are stronger than those from any individual analysis considered. The data exclude a heavy vector-boson triplet with mass below 5.8 TeV in a weakly coupled scenario, below 4.4 TeV in a strongly coupled scenario, and up to 1.5 TeV in the case of production via vector-boson fusion.ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; CNPq, Brazil; FAPESP, Brazil; NSERC, Canada; CFI, Canada; NSFC, China; MEYS CR, Czech Republic; DNRF, Denmark; DNSRC, Denmark; IN2P3-CNRS, France; CEA-DRF/IRFU, France; BMBF, Germany; MPG, Germany; Hong Kong SAR, China; ISF, Israel; INFN, Italy; MEXT, Japan; JSPS, Japan; CNRST, Morocco; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS, Slovenia; MIZS, Slovenia; MICINN, Spain; Wallenberg Foundation, Sweden; SERI, Switzerland; MOST, Taiwan; DOE, United States of America; NSF, United States of America; BCKDF, Canada; CANARIE, Canada; Compute Canada, Canada; Czech Republic [PRIMUS 21/SCI/017, UNCE SCI/013]; COST, European Union; ERC, European Union; ERDF, European Union; Horizon 2020, European Union; Marie Skodowska-Curie Actions, European Union; Investissements d'Avenir Labex, France; Investissements d'Avenir Idex , France; ANR, France; DFG , Germany; AvH Foundation, Germany; Herakleitos programme - EU-ESF, Greece; Thales programme - EU-ESF, Greece; Aristeia programme - EU-ESF, Greece; Greek NSRF, Greece; BSF-NSF, Israel; MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN, Poland; NAWA, Poland; La Caixa Banking Foundation, Spain; CERCA Programme Generalitat de Catalunya, Spain; PROMETEO Programme Generalitat Valenciana, Spain; GenT Programme Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society, United Kingdom; Leverhulme Trust, United Kingdom; STFC, United Kingdom; TENMAK, Turkiye; Canton of Geneva, Switzerland; Canton of Bern, Switzerland; SNSF, Switzerland; SRC, Sweden; DSI/NRF, South Africa; NWO, Netherlands; Benoziyo Center, Israel; RGC, China; GSRI, Greece; HGF, Germany; SRNSFG, Georgia; Minciencias, Colombia; MOST, China; CAS, China; ANID, Chile; CERN; NRC, Canada; CERN:~European Organization for Nuclear Research~(CERN PJAS); Chile:~Agencia Nacional de Investigacion y Desarrollo~ [FONDECYT~1190886, FONDECYT~1210400, FONDECYT~1230812, FONDECYT~1230987]; China:~National Natural Science Foundation of China [NSFC -~12175119, NSFC~12275265, NSFC-12075060]; European Union: European Research Council [ERC -948254, ERC 101089007]; European Union: Horizon 2020 Framework Programme [MUCCA -CHIST-ERA-19-XAI-00]; European Union: 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-CE310022]; France: Investissements d'Avenir Labex [ANR-11-LABX-0012]; Germany: Baden-Wurttemberg Stiftung (BW Stiftung-Postdoc Eliteprogramme); Germany: Deutsche Forschungsgemeinschaft [DFG -469666862, DFG -CR 312/5-2]; Italy: Istituto Nazionale di Fisica Nucleare (ICSC, NextGenerationEU); Japan: Japan Society for the Promotion of Science [JSPS KAKENHI 22H01227, JSPS KAKENHI 22KK0227, JSPS KAKENHI JP21H05085, JSPS KAKENHI JP22H04944]; 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]; Poland: Polish National Science Centre [NCN 2021/42/E/ST2/00350, 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]; Slovenia: Slovenian Research Agency (ARIS grant) [J13010]; Spain: BBVA Foundation [LEO22-1-603]; Generalitat Valenciana (Artemisa, FEDER) [IDIFEDER/2018/048]; Ministry of Science and Innovation [RYC2019-028510-I, RYC2020-030254-I]; PROMETEO Programme Generalitat Valenciana [CIDE-GENT/2019/023, CIDEGENT/2019/027]; GenT Programme Generalitat Valenciana [CIDE-GENT/2019/023, CIDEGENT/2019/027]; Sweden: Swedish Research Council [VR 202203845]; Knut and Alice Wallenberg Foundation [KAW 2022.0358]; Switzerland: Swiss National Science Foundation [SNSF -PCEFP2_194658]; United Kingdom: Leverhulme Trust [RPG-2020-004]; United States of America: Neubauer Family FoundationWe 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; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taipei; TENMAK, Turkiye; STFC, 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 and UNCE SCI/013, 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 Organization for Nuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT 1190886, FONDECYT 1210400, FONDECYT 1230987); China: National Natural Science Foundation of China (NSFC - 12175119, NSFC 12275265); European Union: European Research Council (ERC -948254, ERC 101089007), Horizon 2020 Framework Programme (MUCCA -CHIST-ERA-19-XAI-00), 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-CE310022), 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); Japan: Japan Society for the Promotion of Science (JSPS KAKENHI 22H01227, JSPS KAKENHI 22KK0227, JSPS KAKENHI JP21H05085, JSPS KAKENHI JP22H04944); 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, UMO-2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187, UMO-2022/47/O/ST2/00148); Slovenia: Slovenian Research Agency (ARIS grant J13010); Spain: BBVA Foundation (LEO22-1-603), Generalitat Valenciana (Artemisa, FEDER, IDIFEDER/2018/048), Ministry of Science and Innovation (RYC2019-028510-I, RYC2020-030254-I), PROMETEO and GenT Programmes Generalitat Valenciana (CIDE-GENT/2019/023, CIDEGENT/2019/027); Sweden: Swedish Research Council (VR 202203845), Knut and Alice Wallenberg Foundation (KAW 2022.0358); Switzerland: Swiss National Science Foundation (SNSF -PCEFP2_194658); United Kingdom: Leverhulme Trust (Leverhulme Trust RPG-2020-004); United States of America: Neubauer Family Foundation

    Embracing Food Well-Being: Lessons From Chefs' Caring Actions in the Fight Against Food Waste

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    This research analyzes world-renowned chefs' fight against food waste as a manifestation of care, and aims to contribute to the understanding of food well-being (FWB). A qualitative study was conducted to analyze a large set of data triangulated from multiple sources (online streaming platforms, books, newspapers, magazines, websites, and social media channels). The findings reveal that, in proclaiming their responsibility to act against food waste, chefs challenge a wasteful food culture by weaving a web of care targeted at both supporting and training consumers and other stakeholders in the food supply chain. In doing so, the chefs leverage their position in society and within the food supply chain to connect multiple stakeholders in order to form a mutually beneficial and positive relationship with food. The results contribute to the conceptualization of FWB by highlighting the relational and dynamic nature of care in the FWB model. The study has policy implications for fighting food waste and enhancing FWB

    Optical Signal Investigation of Monolayer Mos2 Grown Via Glass-Assisted Cvd on Patterned Surfaces

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    Enhancing photoluminescence (PL) in single-layer transition metal dichalcogenides has garnered significant interest, particularly for advancing high-performance 2D electronics and optoelectronics. The combination of surface engineering and contemporary growth methods has provided a platform for investigating optical signals. In this study, we present variations in PL and Raman signals of single-layer MoS2 flakes grown conformally using the glass-assisted CVD method on square-patterned surfaces with varying well depths. PL spectroscopy revealed a systematic and pronounced enhancement in intensities as the valley thickness decreased from 285 nm to 225 nm. Conversely, for the hill regions of the samples, the PL intensity initially increased with decreasing valley thickness and then decreased, despite the hill regions having a constant thickness of 300 nm. On the other hand, PL maps did not exhibit a systematic dependence of intensities on the hill-valley thickness distinction, contrary to expected results based on literature data for similar materials on flat surfaces. The origin of the intensity oscillations was attributed to possible mechanisms, including thickness-dependent interference and strain-related exciton funneling effects. Additionally, Raman measurements revealed irregular variations in intensity in hill regions, dependent on the thicknesses of the underlying SiO2 layers. Furthermore, we observed that the sizes of the flakes increased as the well depths of the underlying patterned surface decreased. This phenomenon might be attributed to alterations in the carrier gas flow pattern and varying temperature gradients between the hills and valleys. These results hold substantial potential to open new avenues for the integration of 2D transition metal dichalcogenides into on-chip electronic and optoelectronic devices. © 2024, Sakarya University. All rights reserved.Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (121M601

    Müzelerin Görsel Kimlik ve Çevresel Grafik Tasarımı Bağlamında İncelenmesi: Arslantepe Höyüğü Açık Hava Müzesi için Tasarım Önerisi

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    Kültürel miras toplumsal belleğin önemli bir parçasıdır. Bu bağlamda, toplumun kültür mirasının korunmasına ve tarihi değerlerinin gelecek nesillere aktarılmasına müzeler aracılık etmektedir. Müzelerde ve kültürel miras alanlarında sergilenen tarihi değerlerin topluma doğru şekilde aktarılmasında görsel iletişim tasarımı etkin rol oynamaktadır. Bu çalışmada, kültürel mirasın müzeler aracılığıyla tanıtılmasında görsel iletişim tasarımı açısından yaşanan problemler Arslantepe Höyüğü Açık Hava Müzesi örneği üzerinden ele alınmaktadır. Araştırmada literatür taraması, doküman incelemesi ve paydaşlarla (akademik uzmanlar, kazı başkanı, müze yetkilileri, lisans ve lisansüstü öğrenciler) yapılan yarı yapılandırılmış görüşmelerden elde edilen bulgulardan hareketle Arslantepe Höyüğü Açık Hava Müzesi için görsel kimlik, bilgilendirme tasarımı uygulama alanlarından çevresel grafik tasarımı bağlamında tasarım önerisi sunulmaktadır.Cultural Heritage is an important part of social memory. In this context, museums mediate the protection of society's cultural heritage and the transfer of historical values to future generations. Visual communication design plays an active role in the accurate transfer of historical values exhibited in museums and cultural heritage sites to the society. In this thesis, the problems encountered in the promotion of cultural heritage through museums in terms of visual communication design are examined through the example of Arslantepe Mound Open Air Museum. Based on the findings of the literature review, document review, and semi-structured interviews with stakeholders (academic experts, excavation head, museum officials, undergraduate and graduate students), the study presents visual identity, information design and a design proposal is presented in the context of environmental graphic design from the application areas of information design

    Investigation of the Effects of Toxoplasma Gondii on Behavioral and Molecular Mechanism in Bradyzoite Stage

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    Toxoplasma gondii is a single-celled parasite that causes a disease called toxoplasmosis. It can reach the central nervous system, but the mechanism of T. gondii disrupting the functioning of these brain regions occurs in bradyzoite stage of parasite, causing brain damage by forming tissue cysts in brain. In our study, the effects of T. gondii on locomotor activity, anxiety, learning and memory, and norepinephrine (NE), levodopa (L-DOPA), dopamine (DA) and 3,4-D-dihydroxyphenylacetic acid (DOPAC) catecholamines in amygdala, striatum, prefrontal cortex and hippocampus regions of the brain were investigated in bradyzoite stage. Twenty male Albino mice Mus musculus, 4–5 weeks old, weighing 20–25 g, were used. T. gondii inoculated to mice intraperitonealy with 48–50-hour passages of T. gondii RH Ankara strain. For intraperitoneal inoculation of mice 5x104 tachyzoites per mouse. No inoculation was made in control group (n: 20). Locomotor activity behavior in open field test (OFT), anxious behavior in elevated plus maze (EPM), and learning behavior in novel object recognition (NOR) tests were evaluated. NE, L-DOPA, DA and DOPAC were measured by HPLC in brain tissues of amygdala, striatum, prefrontal cortex and hippocampus. A decrease was observed in the locomotor activity, anxiety and learning values of the T. gondii group compared to the control group (p ;lt; 0.05). The heighten in NE and L-DOPA levels in amygdala tissue of T. gondii group compared to control group, an elevation in NE, L-DOPA, DA and DOPAC levels in striatum tissue, and an increase in levels of NE in prefrontal cortex tissue were detected in monoamine results. In hippocampus tissue, an increase was observed in DA levels, while a decrease was observed in NE, L-DOPA and DOPAC levels. In our study, it has been shown that T. gondii in bradyzoite stage reduces locomotor activity, causes learning and memory impairment, and has anxiogenic effects. © 2024 Elsevier B.V.School of Medicine, Duke University: 2021/09/03; Hitit Üniversitesi, HİTÜ: TIP19001.21.00

    Şebeke Oluşturan Eviricilerin Modellenmesi ve Farklı Kontrolcü Yaklaşımları Altında Analizi

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    Yenilenebilir enerji kaynaklarının şebekeye entegrasyonu, çevresel endişeler ve teknolojideki ilerlemelerle birlikte son on yıllarda önemli bir büyüme göstermiştir. Fotovoltaik (PV) ve rüzgar tabanlı sistemler, şebekeye bağlanmak için eviricilere güvenen bu geçişte önemli oyunculardır. Bu tür kaynaklar, inverter tabanlı kaynaklar (IBR) olarak bilinir ve çevresel faydalar sağlamakla birlikte sistem ataleti, akım sınırlaması ve gerilim ile frekans kontrolü gibi teknik zorluklar da sunar. Bu zorlukların üstesinden gelmek, yenilenebilir enerjinin artan penetrasyonu karşısında modern güç sistemlerinin güvenilirliğini ve istikrarını sağlamak için kritik öneme sahiptir. Şebeke oluşturan (GFM) ve şebeke takip eden (GFL) kontrol metodolojileri, IBR'lerde bu zorlukları aşmak için kullanılan iki önemli yaklaşımdır. GFM inverterler, modern güç sistemlerinde yenilenebilir enerji kaynaklarının entegrasyonunu kolaylaştıran ve şebeke istikrarını sağlayan temel bileşenler olarak ortaya çıkmıştır. Bu tez, çeşitli kontrol yaklaşımları altında şebeke oluşturan eviricilerin modellenmesi ve analizi üzerine odaklanarak, bu sistemlerin geliştirilen kontrol yöntemleri ile performanslarını optimize etmeyi amaçlamaktadır. Mevcut çalışmalarda, şebeke oluşturan inverterlerin prensiplerine dair içgörüler sunularak, sistemin istikrarı ve güvenilirliğini sağlamak için doğru modelleme ve kontrol stratejilerinin önemi vurgulanmaktadır. Dönüştürücü topolojisi, kontrol algoritmaları ve şebeke dinamikleri gibi faktörler göz önünde bulundurularak farklı modelleme yaklaşımları değerlendirilmektedir. Gerilim kontrolü, frekans kontrolü ve droop kontrolü gibi kontrol yaklaşımları detaylı bir şekilde incelenmiş, bu yaklaşımların istikrar, geçici yanıt ve şebeke desteği üzerindeki etkilerine vurgu yapılmıştır. MATLAB-Simulink kullanılarak yapılan simülasyon çalışmaları, doğrusal kuadratik düzenleyici (LQR) gibi optimal kontrol stratejileri altında şebeke oluşturan inverterlerin performansını analiz etmek için gerçekleştirilmiştir; istikrar, frekans düzenlemesi ve şebeke senkronizasyonu gibi temel metrikler değerlendirilmiştir. Bu tez çalışması, GFM inverter tasarımı ve yenilenebilir enerji sistemlerindeki uygulamasının optimize edilmesi için değerli bir rehber niteliğinde olup şebeke güvenilirliğinin artırılmasına ve daha fazla yenilenebilir enerji entegrasyonuna zemin hazırlamaktadır.The integration of renewable energy sources into the grid has experienced significant growth in recent decades, driven by environmental concerns and advancements in technology. Photovoltaic (PV) and wind-based systems, among others, are key players in this transition, relying on inverters to connect to the grid. These inverters, known as inverter-based resources (IBRs), offer environmental benefits but also present technical challenges such as system inertia, current limitation, and voltage and frequency control. Addressing these challenges is crucial for ensuring the reliability and stability of modern power systems amidst the increasing penetration of renewable energy. Grid forming (GFM) and grid following (GFL) and are two significant control methodologies employed by IBRs to address these challenges. GFM inverters have emerged as pivotal components in modern power systems, facilitating the integration of renewable energy sources and ensuring grid stability. This thesis delves into the modeling and analysis of grid-forming inverters under various control approaches, aiming to enhance understanding and optimize their performance. The literature review provides insights into the principles of grid-forming inverters, highlighting the significance of accurate modeling and control strategies in ensuring system stability and reliability. Different modeling approaches are evaluated, considering factors such as converter topology, control algorithms, and grid dynamics. Control approaches including voltage control, frequency control, and droop control are examined in detail, with emphasis on their impact on stability, transient response, and grid support. Simulation studies are conducted using MATLAB-Simulink to analyze the performance of grid-forming inverters under different control strategies such as linear quadratic regulator (LQR), with key metrics such as stability, frequency regulation, and grid synchronization evaluated. The results offer valuable guidance for optimizing GFM inverter design and deployment in renewable energy systems, paving the way for enhanced grid reliability and renewable energy integration

    A Dual DFB Laser Based Temperature Sensor

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    In this manuscript, we present a temperature sensing method that utilizes a dual fiber laser system based on two adjacent pi-phase shift fiber Bragg gratings with a slight difference in wavelength. © Optica Publishing Group 2024, © 2024 The Author(s

    The Bayesian Approach To Monopoly Regulation After 40 Years

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    This paper surveys the monopoly regulation literature with the Bayesian approach. The literature builds on Baron and Myerson’s seminal 1982 paper, entitled “Regulating a Monopolist with Unknown Costs.” After presenting their contributions to the regulation literature, the paper discusses the main criticisms of their model, relating to either informational or commitment assumptions about the Bayesian regulator. The paper also briefly reviews some non-Bayesian incentive schemes, price-cap regulation, and several extensions and applications of Baron and Myerson’s regulatory model to highlight the evolution and scope of the new economics of regulation after 40 years. © 2024, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature

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