WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12469/4465

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Did ETS Coverage and Free Allowances Affect Economic Performance and GHG Emissions in the EU?: Evidence From a Panel of EU Sectors
(Digital Initiatives Univ Waterloo Lib, 2025) Aydin, Asli; Acar, Sevil
This study analyzes the impacts of the European Union Emissions Trading System and free allowances on sectoral value added, gross output, and greenhouse gas emissions in the European Union for the period 1995-2020. Since the European Union Emissions Trading System inherently covers firm-level emissions, most studies in this area have been conducted at the firm level. However, a sectoral analysis allows understanding how sectors as a whole respond to the carbon pricing mechanism in terms of carbon reductions, competitiveness and sectoral output growth. It can also reveal how changes differ across sectors subject to different regulations. Controlling for sectoral employment, intermediate input use, and time effects, the results show that European Union Emissions Trading System coverage has a negative impact on both value added and gross output, but does not lead to a significant reduction in greenhouse gas emissions. The findings indicate that more labor-intensive and less input-intensive production can reduce emissions. Furthermore, the study draws attention to the competitive losses caused by compliance costs in sectors within the scope of the European Union Emissions Trading System and shows that the impact of free allowances on performance is insufficient. These results highlight the importance of coherent and inclusive approaches in policy design to more effectively manage the economic and environmental impacts of the European Union Emissions Trading System. It is recommended to develop more targeted and flexible strategies, taking into account sectoral differences.
Creating Digital Transformation Roadmaps for Independent Audit Firms: An Interval-Valued Q-Rung Orthopair Model
(Pergamon-Elsevier Science Ltd, 2026) Gorcun, Mer Mer Faruk; Simic, Vladimir; Sener, Sefer; Durmus, Cem Niyazi; Canakcioglu, Mustafa
The primary objective of this study is to develop a structured digital transformation strategy roadmap that independent audit firms can utilize to manage digital transformation processes effectively. Digital transformation extends beyond integrating Industry 4.0 and advanced technologies into business operations. It necessitates restructuring business models, decision-making frameworks, and stakeholder communication mechanisms. Its implications are critical across all industries. In independent auditing, ensuring data accuracy, enhancing audit process transparency, and meeting speed and quality requirements are becoming increasingly vital. Digital transformation addresses these needs and provides independent audit firms with a sustainable competitive advantage. A review of the existing literature reveals a significant research gap in the identification and prioritization of digital transformation strategies, as well as a lack of comprehensive theoretical studies examining the digital transformation practices of enterprises. This study proposes an integrated decision-making model to address these research and theoretical shortcomings. According to the study results, "providing in-depth analysis with big data analytics and artificial intelligence solutions" is the most essential strategy for managing digital transformation processes. Regarding the applicability of this strategy, "agility" is defined as the most critical and practical criterion. Robustness checks confirm the model's validity and consistency.
Fuel Cell Electric Long-Haul Truck Evaluation for Sustainable Transport Via a Novel Pythagorean Fuzzy Sets-Driven Tool
(Elsevier Sci Ltd, 2026) Gorcun, Omer Faruk; Rani, Pratibha; Mishra, Arunodaya Raj; Ecer, Fatih
Fossil fuel-powered trucks and vehicles used in road freight transportation play a notable role in the emission of greenhouse gases. Although the road vehicle industry's use of renewable energy is promising in terms of sustainability, the vehicle manufacturing industry's initiatives are still in their infancy. Moreover, existing studies on using electric and renewable energies in transportation have primarily focused on electric automobiles. Considering these research and practice gaps, this work investigates the selection of the most proper fuel cell electric long-haul trucks (FCETs) to restructure the Turkish fleet of long-haul trucks operating nationwide concerning sustainability. However, assessing these vehicles is challenging, as they are produced based on new and advanced technology, with severe and highly complicated uncertainties. Thus, this paper suggests a Pythagorean fuzzy distance measure-based weighted integrated sum product (WISP) with the integration of the symmetry point of criteria (SPC) and relative closeness coefficient (RCC)-based weighting methods. Surprisingly, and unlike the findings of earlier works, the acquired conclusions indicate that refueling time (0.1161) is the most influential factor for FCET selection, followed by range (0.0837) and torque (0.0785) among the 14 criteria. Besides, the first alternative (R1) outperforms the other options, followed by R5 and R7. Finally, robustness and validity checks ensured the consistency, stability, and practicality of the conclusions. The research can guide manufacturers who produce FCETs and aim to enhance the quality and desirability of their products. Furthermore, practitioners and researchers can utilize the proposed model to solve challenging decision-making problems.
Conspiracy Theories as Instruments of Power: The Case of Conspiracy Beliefs in the Wake of the 2023 Earthquakes in Türkiye
(Wiley, 2025) Alper, Sinan; Varol, Onur; Yilmaz, Onurcan
The prevalent view associates political disempowerment with increased conspiracy beliefs. However, the function of conspiracy theories for those in power to sustain their dominance is less understood, particularly in ecologically valid and non-WEIRD (Western, Educated, Industrialized, Rich, Democratic) settings. Our research examined the emergence of conspiracy theories following the 2023 earthquakes in T & uuml;rkiye and their relation to voting behavior in the subsequent general election, which occurred three months later. In Study 1, we analyzed the activities of 26,992 users on X (Twitter), identifying a preference among supporters of Erdogan, the incumbent president, for earthquake-related conspiracy theories. In Study 2, face-to-face interviews with a nationally representative sample of 3568 individuals showed a correlation between the endorsement of these theories and increased support for Erdogan and his coalition, independent of other variables. These findings highlighted the significant role conspiracy theories that can play in bolstering authority and shaping electoral outcomes.
Effects of Classroom Temperature and Humidity on Student Learning Performance: An Experimental Study Using Sensor-Based Monitoring
(Frontiers Media SA, 2025) Kirkil, Gokhan
This study investigates the relationship between classroom thermal environment and student learning performance in a controlled university setting using Arduino-based temperature and humidity sensors. The experiment was conducted over 2 weeks with 53 undergraduate students at controlled temperatures of 20 degrees C and 27 degrees C. Results demonstrate significant correlations between student thermal satisfaction, GPA, and learning outcomes. Multiple regression analysis reveals that thermal environment satisfaction and student GPA together account for 23.15% of the variance in student grades (p < 0.001). Students reporting higher thermal satisfaction achieved better exam performance and maintained higher motivation levels. The study employed a 5-point Likert scale questionnaire to assess thermal perception and learning motivation. While limitations include the absence of mean radiant temperature measurements and short study duration, findings suggest that maintaining optimal classroom thermal conditions (20 degrees C-22 degrees C) is crucial for academic performance. The sensor-based monitoring system proved effective for real-time thermal environment assessment in educational settings.
Critical-Size Muscle Defect Regeneration Using an Injectable Cell-Laden Nanofibrous Matrix: An Ex Vivo Mouse Hindlimb Organ Culture Study
(MDPI, 2025) Jacho, Diego; Huynh, James; Crowe, Emily; Rabino, Agustin; Yildirim, Mine; Czernik, Piotr J.; Yildirim-Ayan, Eda
Musculoskeletal injuries involving volumetric muscle loss remain difficult to treat due to limited regenerative capacity and the lack of physiologically relevant experimental models. This study introduces a computer-controlled ex vivo mouse hindlimb culturing platform that applies dynamic mechanical loading to evaluate muscle regeneration in a critical-size tibialis anterior (TA) defect. The defect was treated with an injectable myoblast-laden nanofibrous scaffold composed of polycaprolactone nanofibers and collagen (PNCOL). The ex vivo mouse hindlimb culturing platform maintained tissue viability and transmitted physiological strain across bone and muscle without disrupting the unity of the bone-muscle structure. PNCOL treatment under mechanical loading enhanced muscle fiber organization, extracellular matrix regeneration, and anti-inflammatory responses (CD206) while upregulating paired box 7 (PAX7), myogenic factor 5 (MYF5), myogenic regulatory factor 4 (MRF4), and transforming growth factor beta1 (TGF beta 1) expression. Cytokine profiling revealed an anabolic shift involving wingless/integrated (WNT) and insulin-like growth factor-1 (IGF-1) signaling, indicating a pro-regenerative microenvironment. Overall, the combination of mechanical stimulation and biomaterial-based therapy significantly improved muscle regeneration within a controlled ex vivo model. This multidimensional approach provides a reproducible and ethical platform that advances musculoskeletal regenerative research while reducing animal use.
Do We Worry About the Use of Artificial Intelligence and Plagiarism? Students' AI-Giarism Behaviour Through the Fraud Triangle
(Elsevier Science Inc, 2026) Baser, Mirac Yucel; Kozak, Metin; Erdogan, Ibrahim Halil
The combination of AI and plagiarism is an emerging issue following the coining of the term AI-giarism. However, there has been little research that investigated the factors that lead students to engage in AIgiarism. In response to this gap, the present study adopts the fraud triangle framework to examine students' intentions toward AI-giarism and identify the underlying factors contributing to it. Data were collected from 312 students enrolled in 25 universities and analyzed using structural equation modelling. The results indicate that AI capacity, Justification of plagiarism, unawareness of AI deception, and academic pressure increase AI-giarism behaviour among students. In contrast to previous research, the study found no significant relationship between AI-giarism and either lax enforcement or a lack of understanding of AI. By offering empirical insights into the antecedents of AI-giarism, the present study advances the current body of literature, which has been more conceptual or student perception-centric.
Neo-Slavery as Instrumentalization: Amazon, Surrogate Motherhood, and Mobile Phones
(Wiley, 2025) Diken, Bulent; Gocer, Tugba; Ucak, Mesut
Despite being perceived as a remnant of the past, slavery persists in today's increasingly economized and biopoliticized world. To thematize the actuality of slavery, we initially return to Aristotle's discussion/justification of slavery as instrumentalization of human beings. Then we revisit Plato's allegory of the cave through three distinct readings. This threefold reading enables us to frame three present-day cases/examples to reconsider slavery: the Amazon, surrogate motherhood, and the cell phone. The concept of use is pivotal for such reconsideration. Finally, we propose the concept of neo-slavery. Although the traditional accounts of slavery understand slavery through its triangulation with property relations and force, we suggest another triangulation here: neo-slavery, instrumental use, and consent. In this way, the examination of the three cases casts the traditional accounts of slavery in a new light, revitalizing the concept of slavery by putting it into a different use.
Narrative Development in L1-Turkish Children: A Longitudinal Examination of L2-English Immersion Effects
(Cambridge Univ Press, 2025) Aktan-Erciyes, Asli; Goksun, Tilbe
This longitudinal study examined the impact of L2 acquisition on the narrative development of L1-Turkish dominant children who were exposed to L2-English immersion compared to their peers who were not exposed to L2-English immersion but to L1-Turkish. The study involved 155 children, aged 5, 7, and 9 at Time 1, assessing their narrative production, linguistic complexity, and narrative comprehension over a one-year period. Children who were exposed to L2-English immersion received intensive L2-English instruction from a young age while living in an L1-Turkish dominant society. For both time points, L2-English immersion children performed better than L1-Turkish dominant children for L1 narrative production. While no overall group differences emerged in linguistic complexity, L2-English immersion children exhibited higher complexity in L1 relative to their L2 for both time points, suggesting a facilitative effect of early L2 exposure on L1 narrative structure. These findings support the idea that bilingualism may foster narrative skills. These results highlight the importance of early bilingual education, especially when both languages are equally supported, contributing to children's overall language development.
Deep Learning-Based Epicenter Localization Using Single-Station Strong Motion Records
(Springer, 2025) Turkmen, Melek; Meral, Sanem; Yilmaz, Baris; Cikis, Melis; Akagunduz, Erdem; Tileylioglu, Salih
This paper explores the application of deep learning (DL) techniques to strong motion records for single-station epicenter localization. Often underutilized in seismology-related studies, strong motion records contain rich information for source parameter inference. We investigate whether DL-based methods can effectively leverage this data for accurate epicenter localization. Our study introduces AFAD-1218, a collection comprising more than 36,000 strong motion records sourced from Turkey. To utilize the strong motion records represented in either the time or the frequency domain, we propose two neural network architectures: deep residual network and temporal convolutional networks. Our findings highlight significant reductions in prediction error achieved through the exclusion of low signal-to-noise ratio records, both in nationwide experiments and regional transfer-learning scenarios. Overall, this research underscores the promise of DL techniques in harnessing strong motion records for improved seismic event characterization and localization. Our codes are available via this repo: https://github.com/melekturkmen/EarthQuakeLocalization
Integrated in Vivo and in Silico Evaluation of Antimalarial Compounds From Vernonia Ambigua Leaves Identified by GC-MS Profiling
(Frontiers Media SA, 2025) Yusuf, Amina Jega; Alpha, Abdul-Rahman Abdullahi; Salihu, Mustapha; Aminu, Jamila; Sahin, Naz Mina Mert; Yelekci, Kemal; Imam, Mustapha Umar
Background: Malaria remains a global health challenge, and the emergence of drug-resistant Plasmodium strains has necessitated the search for new antimalarial agents. Vernonia ambigua is used traditionally to treat malaria in parts of Africa, but its pharmacological potential remains underexplored. The aim of this study was to evaluate the antimalarial activity and chemical constituents of the chloroform leaf extract (CLE) of V. ambigua using in vivo and in silico approaches. Methods: Acute toxicity was evaluated using Lorke's method, and antimalarial activity was assessed via Ryley and Peter's 4-day curative test in Plasmodium berghei-infected Swiss albino mice, followed by GC-MS profiling and in silico analyses (molecular docking and dynamics simulations) of the identified compounds. Results: The CLE showed a 73.8% parasite cure rate at 500 mg/kg, with no observed toxicity up to 5,000 mg/kg. GC-MS profiling revealed thirteen compounds, of which 9H-fluorene-4-carboxylic acid and Tolnaftate showed strong PfLDH binding (docking scores of -7.7 and -7.6 kcal/mol, respectively). Tolnaftate demonstrated potentially modest stability in the active site of PfLDH during MD simulation. ADME/toxicity profiling identified 9H-fluorene-4-carboxylic acid as the most promising compound, combining favorable bioavailability, low predicted toxicity, and good synthetic accessibility. Conclusion: V. ambigua possesses potent antimalarial properties, with 9H-fluorene-4-carboxylic acid and Tolnaftate emerging as promising PfLDH inhibitors. These findings support further investigation and development of its bioactive constituents as antimalarial drug leads.
Does Your Love Lift Me Higher? A Direct Replication of the Energising Role of Secure Relationships
(John Wiley & Sons Ltd, 2025) Lagap, Adar Cem; Harma, Mehmet
Previous work has revealed that priming people with significant others increases feelings of security and energy, and in turn, boosts exploration motivations. In this preregistered study, we directly replicated Luke et al.'s (2012) Study 2 (N = 281). We found similar results as the replicated study regarding increased security feelings and exploration motivations on the self-report measures after the priming. However, we did not find any support for the increased energy feelings after the attachment security priming. In addition, contrary to Luke et al.'s (2012) results, energy feelings did not mediate the relationship between security priming and exploration motivations. A discussion of null findings, along with the limitations of self-reports and potential misinterpretation of the mediational analyses, follows. We also discuss possible future implications of the current findings.
The 'Original Face': Visitors Experience in Buddhist Pilgrimage Tourism through the Lens of Zen Thought
(Elsevier, 2026) Zhang, Hui; Wen, Jun; Huang, Keji; Kozak, Metin; Fan, Yunyun
This study examines the visitors' experience while participating in the Dachaotai in Mount Wutai through the prism of Chinese Zen philosophy. Data was collected through participatory observation, in-depth interviews, and online texts. This study subsequently analyzed the data within the framework of the means-end chain model through which four attributes, six consequences, and three values were identified. The results showed that an attribute-consequence-value hierarchical value map of the original face could be constructed, and the formation process of visitors' original face was deduced. The value stratum of the experience regarding visitors' original face primarily encompassed "Free flow of thoughts", "Being in one's own mind", and "Epiphany",which could be interpreted within the principal tenets of Zen Buddhism. The research findings contribute to the existing body of knowledge about Buddhist pilgrimage tourism and bridge the gap that exists between Chinese Zen philosophy and tourist experience.
Better Reflective Functioning in Mothers Linked to Longer Joint Attention with Infants
(Elsevier Science Inc, 2026) Koc, Nursena; Unlu, Huseyin; Uzundag, Berna A.
Joint attention is a foundational precursor to later developmental outcomes such as vocabulary, intelligence, and theory of mind. Previous research has shown that maternal sensitivity, depressive symptoms, and parent-child attachment security are associated with attention-sharing behaviors between mothers and their infants. The present study examined the relationship between mothers' reflective functioning (the ability to recognize and interpret one's own and one's child's mental states, as well as the behaviors motivated by those mental states) and joint attention. Data were collected from 72 infants aged 10-16 months and their mothers. Results indicated that mothers who reported greater difficulty in understanding and distinguishing between their own and their child's mental states (i.e., higher prementalization) tended to engage in joint attention episodes that were shorter and more frequent, and they were also more likely to terminate these interactions. In contrast, mothers expressing greater interest and curiosity about their infants' mental states spent longer periods in joint attention, initiated these episodes less often, and were less inclined to terminate them. Additionally, mothers who felt more certain about their infants' mental states were less likely to end joint attention episodes. After controlling for infant age and socioeconomic status, higher levels of interest and certainty continued to predict lower maternal termination, while prementalization was still linked to a higher number of joint attention episodes. These findings suggest that mothers' perceptions of their infants' mental states shape how they engage in shared attention during everyday play interactions.
Secure Optical Coded GSSK System with Dimming
(IEEE, 2024) Hassan, Sumeyra; Panayirci, Erdal; Helleseth, Tor; Poor, H. Vincent
In this work, we develop an indoor visible light communications (VLC) system based on a transmitted precoded (TPC)-aided, coded generalized space shift keying (GSSK) system with physical layer security (PLS) capability in the presence of dimming. A new design of the encoder and decoder of linear codes is given to improve the error-correcting capability of the system as well as to enable random selection of the activated indices in the GSSK automatically. The PLS of the system is guaranteed by the appropriate selection of the power allocation coefficients for randomly activated photodiodes (PDs). At the receiver, the unknown channel and dimming coefficients are jointly estimated in the legitimate users with a new pilot-aided estimation technique. Then, the optimal detection of the spatial symbols is implemented using the maximum likelihood (ML) criterion in the presence of dimming. It is shown that the dimming coefficients, unknown to the eavesdropper, provide additional PLS for the legitimate user. The computer simulations show that the legitimate user achieves excellent bit error performance mainly due to the linear coding employed that serves for error correction and selection of the best GSSK constellation in the system. In contrast, the bit error performance of the potential eavesdroppers is significantly degraded.
Moral Framing Effects on Environmental Attitudes: A Conceptual Replication and Extension of Feinberg and Willer (2013)
(Academic Press Ltd- Elsevier Science Ltd, 2025) Cavdar, Dilara; Tepe, Beyza; Saribay, S. Adil; Yilmaz, Onurcan
This study investigates the relationship between moral framing, political orientation, and pro-environmental attitudes, replicating and extending Feinberg and Willer (2013) in a non-Western context. Using a Turkish-speaking sample (N = 699), we examined the effectiveness of care and sanctity-framed messages and the moderating role of actively open-minded thinking (AOT). Our findings partially replicated the original study. Sanctity framing increased pro-environmental attitudes among conservatives, while care framing had no significant effect. Political conservatism was negatively associated with pro-environmental attitudes, confirming prior findings. Exploratory analyses revealed that AOT moderated the effects of sanctity framing on environmental attitudes, with individuals low or moderate in AOT being more responsive. Both care and sanctity frames increased environmental donation, addressing the intention-behavior gap. However, cultural nuances, such as the collectivist orientation of the sample, may have influenced the care frame's ineffectiveness. The study highlights the importance of cultural context in moral framing research and underscores the need for context-specific climate communication strategies.
Exploring the Relation between Gesture Presentation Perspective and Children's Spatial Performance
(John Benjamins Publishing Co, 2025) Orakci-Beyaztas, Elif; Karadoller, Dilay Z.
The study investigated whether the perspective of multimodal input in visuospatial maps predicts children's spatial performance, particularly verbal recall and direction-following behavior. 5-year-old monolingual Turkish children were engaged in the Directions Task, which included visuospatial maps and videos of a speaker describing routes on maps in three conditions: Speech-Gesture combination with a front-facing view, Speech-Gesture combination with an upper back angle, and Speech-only condition with a front-facing view for control. Children were asked to verbally recall and draw the route described in the videos. They also engaged in perspective-taking, mental rotation, and relational reasoning tasks. Results showed that children's verbal recall, but not necessarily behavioral recall, was enhanced by receiving multimodal directions. Moreover, children's relational reasoning and perspective-taking abilities modulate their verbal recall performances. The results of this study underline the importance of multimodal input and presentation perspective in enhancing children's spatial performance.
Visualizing Children's Health: Transformation of the Turkish State's Biopolitical Communication from Tuberculosis to COVID-19
(Sage Publications Ltd, 2025) Arda, Balca; Ilikan Rasimoglu, Ceren Gulser; Guney, K. Murat
This article comparatively explores two distinct cases of children's health communication on tuberculosis in the interwar period, and COVID-19, to trace the development of biopolitical governance in Turkey. Biopolitical visuality encompasses affective sensibilities and imaginations about the nation by conveying multilayered discourses. Public health discourse aims to ensure the health and optimal development of adult-to-be citizens and to provide strategies for improving parents' and communities' awareness of children's health. Our critical multimodal discourse analysis, based on our T & Uuml;B & Idot;TAK 3005 (Scientific & Technological Research Council of T & uuml;rkiye)-funded project, 'Analysis of Public Health Visual Communication Methods', demonstrates traits of biopolitical extension through contextual emphasis. We compare the imagery of children through a specific section of the Ya & scedil;amak Yolu journal to official visual health communication materials addressing child health during the COVID-19 pandemic in Turkey. We contend that visual discourse on the consideration of medical science, the relation of mental health to the physical and the gender roles of parents, progressively supports an individuation of biopolitics. We conclude that while early Republican visuals allowed some interpretive freedom through enabling a reformulative agency for the citizen subject in pursuit of well-being, the neoliberal era's COVID-19 materials intensified pedagogical control and individualized responsibility, especially within the family, which expanded biopolitical governance into the routines of everyday life.
A Polish Adaptation of the Autobiographical Recollection Test (ART): Toward a Reliable and Valid Measure of Individual Differences in Autobiographical Memory
(Routledge Journals, Taylor & Francis Ltd, 2025) Barzykowski, Krystian; Ilczuk, Ewa; Oner, Sezin; Chwilka, Paulina; Wereszczynski, Michal
Although previous research has extensively examined the characteristics of specific autobiographical memories, few tools have been available to assess how individuals recall their personal past in general. To address this gap, we adapted into Polish the Autobiographical Recollection Test (ART), a self-report instrument originally designed to capture general autobiographical remembering across seven components: vividness, narrative coherence, reliving, rehearsal, scene construction, visual imagery, and life story relevance. Confirmatory factor analysis supported the factorial validity of the Polish version, demonstrating adequate psychometric properties. The Polish adaptation also showed expected correlations with another self-report measure of autobiographical memory ability (Survey of Autobiographical Memory, SAM), supporting its convergent validity. Furthermore, both the full and brief versions of ART showed significant associations with scores on the Involuntary Autobiographical Memory Inventory (IAMI). These findings provide robust support for the Polish adaptation of ART as a reliable tool for assessing the subjective qualities of autobiographical memory, with potential applications in research on diverse populations.
Reshaping Globular Dynamics of S. Aureus Pyruvate Kinase via Bond Restraints to Allosteric Sites
(Springer, 2025) Fidan, Vahap Gazi; Aydin, Dilvin; Yazgi, Irem; Akten, E. Demet
The global dynamics of pyruvate kinase were examined using molecular dynamics (MD) simulations to investigate the effects of allosteric inhibition through bond restraints applied at two key allosteric sites. The study employed the experimentally resolved structure of the enzyme complexed with the allosteric inhibitor IS-130 at the small C-C interface, serving as a reference for analyzing an additional, computationally predicted allosteric site at the large A-A interface. Simulations identified the B and CT domains as the most mobile regions, with bond restraints at either interface significantly reducing CT domain flexibility up to 9 & Aring; across all chains. Restraints at the C-C interface limited minimal global conformational sampling, whereas restraints at the A-A interface altered the dynamic profile without narrowing the sampled conformational space, suggesting distinct regulatory roles for each interface. Distance fluctuation analyses revealed enhanced interchain communication and reduced mobility near restrained sites, suggesting that these restraints reinforce allosteric inhibition by stabilizing otherwise flexible domains. Cross-correlation analysis showed a marked reduction in long-range residue-residue correspondence, especially under C-C restraints, indicating disrupted dynamic coordination essential for catalytic activity. Mutual information analysis, capturing both linear and non-linear dependencies, further supported these findings by showing a widespread loss of dynamic correspondence in positional fluctuations across the receptor upon restraint application. Notably, although the C-C interface has been experimentally linked to inhibition, these results suggest that the computationally predicted large A-A interface may also contribute to allosteric regulation. Together, these findings highlight the distributed and cooperative nature of allosteric control in pyruvate kinase.

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