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Effects of laurocerasus officinalis roem (Cherry Laurel) on cognitive function and neurobiochemical pathways in a streptozotocin-induced nontransgenic Alzheimer's disease model
(Multidisciplinary Digital Publishing Institute (MDPI), 2026-03-08) Özsoy, Fulya; Yanar, Karolin; Sayılı, Uğurcan; Atukeren, Pınar; Uzun, Hafize
Background: This study investigated the effects of Laurocerasus officinalis Roem (cherry laurel; CL), a traditionally consumed fruit, on cognitive performance and selected neurobiochemical and metabolic pathways in a nontransgenic streptozotocin (STZ)-induced Alzheimer’s disease (i.c.v. STZ) model and an STZ-induced type 2 diabetes mellitus (T2DM; i.p. STZ) model. Method: Fifty-seven adult male Sprague–Dawley rats were allocated to control, T2DM, and Alzheimer (ALZ) model groups, with subgroup interventions including CL supplementation and, in the T2DM model, metformin as a comparator. Spatial learning and memory were assessed using the Morris Water Maze. Serum and brain tissue levels of GSK3-β, glutathione (GSH), interleukin-1 (IL-1), GLUT4, GLP-1, β-amyloid (Aβ), and acetylcholinesterase (AChE) were quantified. Results: Serum GSK3-β levels did not differ significantly between groups, whereas brain tissue GSK3-β showed significant between-group differences. CL increased GSH levels in both models, with significant elevations in serum and brain tissue GSH in the ALZ model following CL administration; in the T2DM model, GSH increased after both CL and metformin. In the ALZ model, CL was associated with decreased serum Aβ and AChE levels and improved Morris Water Maze performance, reflected by reduced escape latencies. Conclusions: CL supplementation was associated with antioxidant enhancement and modulation of amyloid- and cholinergic-related measures, alongside improved spatial learning performance in the STZ-induced nontransgenic ALZ model. In addition, CL reduced blood glucose in the T2DM model. Given the likely contribution of fruit phytochemicals (including total phenolics), further studies are warranted to better define the bioactive composition and mechanisms underlying these effects.
Development and validation of a short form of the mentalization scale (MentS-11)\: an evidence-based measure for Turkish adults
(Springer Science and Business Media Deutschland GmbH, 2026-03-03) Ünver, Buket
This study aimed to create a brief Turkish version of the Mentalization Scale (MentS-11) and to evaluate its reliability and validity in a large community sample. Turkish-speaking adults (N = 953) completed the original 25-item MentS, the Interactive Mentalization Questionnaire, and the Interpersonal Neurobiology–Based Prefrontal Cortex Functions Scale. Scale reduction combined exploratory and confirmatory factor analyses with graded-response item response theory. A three-factor solution—Self-related Mentalization (4 items), Other-related Mentalization (4 items), and Motivation to Mentalize (3 items)—displayed acceptable fit (CFI = 0.92, RMSEA = 0.08). Item-response analyses yielded strong discrimination (α = 0.93–2.07) and thresholds spanning the full latent range. Reliability was McDonald’s ωₜ = 0.84 for the total score, 0.81 for Other, 0.77 for Self, and 0.60 for Motivation. Scores on the MentS-11 were nearly identical to those on the 25-item form for the total scale (r =.92) and strongly aligned on their respective subscales (r =.72–0.81). Expected links with external measures confirmed convergent and criterion validity. The MentS-11 retains the theoretical scope and psychometric integrity of the original Turkish scale while halving administration time, making it a practical, time-efficient tool for assessing mentalization in both clinical practice and research.
Economic dynamics of air pollution in Türkiye and Pakistan: an empirical assessment of the Environmental Kuznets Curve and pollution-led growth
(IGI Global, 2026) Taşbaşı, Aslı; Akhtar, Maham
Türkiye and Pakistan, despite differing levels of economic development, face similar macroeconomic challenges such as income inequality, inflation and debt. Both countries also experience environmental pressures from industrialization and rapid urbanization, with air pollution emerging as a critical concern affecting economic productivity and sustainable development. This study conducts a comparative analysis of air pollution in Türkiye and Pakistan from 1980 to 2023, using the Autoregressive Distributed Lag (ARDL) bounds testing approach to examine the short and long run relationships between air pollution, urbanization, industrialization, energy consumption and macroeconomic policies. The analysis tests the Environmental Kuznets Curve (EKC) for Türkiye and the pollution-led growth hypothesis for Pakistan. Findings reject the EKC for Türkiye but confirm pollution-led growth in Pakistan, offering insights for effective environmental regulation and sustainable development strategies.
The Killing magnetic curves in the anti-de Sitter space H31
(TUBITAK, 2026-03-10) Dursun, Uğur
In this paper, we study space-like, time-like and light-like Killing magnetic curves derived from Killing magnetic vector fields of the anti-de Sitter space H31 by using the half-space model H31 of H31 . We find the first integrals of the system of nonlinear differential equations that describe the Killing magnetic curves corresponding to some Killing vector fields of H31 , and then we give some particular solutions to obtain space-like, time-like and light-like magnetic curves of H31 . Also, we calculate the curvature and torsion of some space-like and time-like Killing magnetic curves, and the torsion of light-like Killing magnetic curves of H31.
Infrequent rebalancing, risk deferral, and equity returns at the turn of the month
(Elsevier Ltd, 2026-03-13) Kayaçetin, Nuri Volkan
We examine equity returns at the turn of the month using return data from thirty countries over the thirty-year period from January 1, 1994, to December 31, 2023. Our analysis reveals that the mean daily return on trading days surrounding the end of the month is significantly larger at 10 bps across the markets examined as compared to 0 bps on other days, with a narrow window bracketing month-ends accounting for all or nearly all positive mean return in each of the countries examined. Linking this pattern to the interaction between slow moving institutional capital and market frictions, we provide evidence in line with the idea that the observed pattern might be sustained by a dual-channel mechanism. First, the effect appears to be amplified hierarchically due to overlapping rebalancing mandates, peaking at lower frequencies due to the synchronization of a larger number of rebalancing schedules. Second, and more importantly, the effect also seems to be conditioned by the deferral of risky investments to structured rebalancing nodes during periods of market distress. Consistent with this mechanism, its magnitude is significantly larger after periods of market turbulence and during recessions, when investors are likely to store more cash in safe assets. Our findings thus provide a robust economic framework for understanding the enduring presence of the turn-of-the-month effect, suggesting that it may emerge as a joint consequence of infrequent rebalancing and risk deferral.
From policy to practice: a sector-agnostic operational framework for post-quantum cryptography transition
(Institute of Electrical and Electronics Engineers Inc., 2026-03-02) Birgin, Berat; Çeliktaş, Barış
The pace of quantum computing development necessitates not only the adoption of post-quantum cryptographic algorithms, but also the establishment of an executable and auditable institutional transition process. Although guidance documents published by the National Institute of Standards and Technology (NIST) and roadmaps proposed by the Post-Quantum Cryptography Coalition (PQCC) articulate strategic objectives, they largely remain procedural constructs lacking a concrete operational execution model. This paper presents an industry-neutral operational framework that translates policy-level post-quantum cryptography (PQC) guidance into deterministic, proof-producing process flows encompassing cryptographic asset discovery, classification, risk modeling, algorithm selection, deployment, monitoring, and governance enforcement. Central to the framework is a deterministic Quantum Risk Scoring (QRS) function, calibrated using the Analytical Hierarchy Process (AHP), which enables reproducible asset prioritization and policy-driven enforcement decisions. Framework executability is further strengthened through cryptography-aware continuous integration/continuous deployment (CI/CD) validation gates and downgrade protection mechanisms, ensuring the generation of verifiable and immutable audit artifacts. A scenario-based operational validation, implemented using open-source toolchains, demonstrates the framework’s operability, auditability, and governance alignment without relying on empirical cryptographic performance benchmarks, confirming that PQC transition can be operationalized as a verifiable lifecycle process bridging policy guidance with enforceable technical actions. Rather than introducing new cryptographic primitives, this work formalizes PQC transition as an operational systems-engineering problem centered on governance-enforced execution and lifecycle verifiability.
Future circular collider feasibility study report: volume 2 accelerators, technical infrastructure and safety
(Springer Science and Business Media Deutschland GmbH, 2025-11-17) Benedikt, Michael; Zimmermann, Frank; Auchmann, Bernhard; Bayındır, Cihan; Özaydın, Fatih
In response to the 2020 Update of the European Strategy for Particle Physics, the Future Circular Collider (FCC) Feasibility Study was launched as an international collaboration hosted by CERN. This report describes the FCC integrated programme, which consists of two stages: an electron-positron collider (FCC-ee) in the first phase, serving as a high-luminosity Higgs, top, and electroweak factory; followed by a proton-proton collider (FCC-hh) at the energy frontier in the second phase. The FCC-ee is designed to operate at four key centre-of-mass energies: the Z pole, the WW pair production threshold, the ZH production peak, and the top/anti-top production threshold—each delivering the highest possible luminosities to four experiments. Over 15 years of operation, FCC-ee will produce more than 6 trillion Z bosons, 200 million WW pairs, nearly 3 million Higgs bosons, and 2 million top anti-top pairs. Precise energy calibration at the Z pole and WW threshold will be achieved through frequent resonant depolarisation of pilot bunches. The sequence of operation modes between the Z, WW, and ZH substages remains flexible. The FCC-hh will operate at a centre-of-mass energy of approximately 85 TeV—nearly an order of magnitude higher than the LHC—and is designed to deliver 5 to 10 times the integrated luminosity of the upcoming High-Luminosity LHC. Its mass reach for direct discovery extends to several tens of TeV. In addition to proton-proton collisions, the FCC-hh is capable of supporting ion-ion, ion-proton, and lepton-hadron collision modes. This second volume of the Feasibility Study Report presents the complete design of the FCC-ee collider, its operation and staging strategy, the full-energy booster and injector complex, required accelerator technologies, safety concepts, and technical infrastructure. It also includes the design of the FCC-hh hadron collider, development of high-field magnets, hadron injector options, and key technical systems for FCC-hh.
The strongman vs. the sage? Populist performances and political masculinities in the 2023 Turkish elections
(Routledge, 2026-02) Sayan Cengiz, Feyda; Demiralp, Seda
Authoritarian populist performances are deeply intertwined with particular ways of ‘doing masculinity’. Previous studies have shown that combative, aggressive, ‘rule-breaking’ performances of masculinity enabled populist opposition leaders to enact and perform anti-elite populist discourses, facilitating the mobilisation of discontent. The case of Turkey, a resilient case of authoritarian populism, demonstrates that performances of masculinity also serve incumbent populists to cast themselves as protectors of society, reinvigorate their paternalist claims to legitimacy and amplify the affective dimension of their messages. This dynamic becomes especially prominent during election campaigns, where performances of masculinity become a significant part of the contest between populist incumbents and their opponents. Focusing on Turkey’s 2023 presidential election and the campaigns of the two main contenders–incumbent President Erdoğan and opposition candidate Kılıçdaroğlu–the study argues that authoritarian populist leaders perform combative, aggressive masculinity to project competence even during economic downturns or institutional decay. In doing so, they further masculinise the political sphere, relegating rivals to subordinate positions within a symbolic hierarchy of masculinities and marginalising alternative models of leadership. The study contributes to understanding the gendered performative dimensions that play into the resilience of authoritarian populism.
Self-supervised learning of 3D structure from 2D OCT slices for retinal disease diagnosis on UK biobank scans
(Institute of Electrical and Electronics Engineers Inc., 2025-09-21) Nazlı, Muhammet Serdar; Turkan, Yasemin; Tek, Faik Boray
This study presents a self-supervised learning framework for retinal disease classification using Optical Coherence Tomography (OCT) scans. To balance the contextual richness of 3D volumes with the computational efficiency of 2D architectures, we introduce a quasi-3D input generation strategy. Each input is constructed by stacking three OCT slices, sampled from channel-specific Gaussian distributions centered on the volume midplane, and arranged in a standard three-channel 2D format compatible with existing pre-trained models. These quasi-3D images are used to pre-train a Vision Transformer (ViT-Base) via a Masked Autoencoder (MAE) with a shared masking pattern, encouraging the model to reconstruct masked regions by encoding anatomical continuity across slices. Pre-training is conducted on 10,000 unlabeled OCT volumes from the UK Biobank. The encoder is then fine-tuned on the OCTA-500 dataset for three-class and four-class retinal disease classification tasks, including macular degeneration and diabetic retinopathy. The model achieves 92.57% accuracy on the three-class task, matching the performance of RETFound while using over 150 times less pre-training data and a smaller backbone.
Retinal disease classification from bimodal OCT and OCTA using a CNN-ViT hybrid architecture
(Institute of Electrical and Electronics Engineers Inc., 2025-09-21) Aydın, Ömer Faruk; Tek, Faik Boray; Turkan, Yasemin
Retinal diseases are the leading cause of vision impairment and blindness worldwide. Early and accurate diagnosis is critical for effective treatment, and recent advances in imaging technologies such as Optical Coherence Tomography (OCT) and OCT Angiography (OCTA), have enabled detailed visualization of the retinal structure and vasculature. By leveraging these modalities, this study proposes an advanced deep learning architecture called MultiModalNet for automated multi-class retinal disease classification. MultiModalNet employs a dual-branch design, where OCTA projection maps are processed through a ResNet101 encoder, and cross-sectional slices from the OCT volume (B-scans) are analyzed using a Vision Transformer (ViT-Large). The extracted features from both branches were fused and passed through the fully connected layers for the final classification. Evaluated on the 3-class OCTA-500 dataset, which includes Age-related Macular Degeneration (AMD), Diabetic Retinopathy (DR), and Normal cases, the proposed model achieved state-of-the-art classification accuracy of 94.59 percent, significantly o utperforming single-modality baselines. This result highlights the effectiveness of integrating vascular and structural information to improve the diagnostic performance. The findings suggest that hybrid multi-modal deep learning approaches can play a transformative role in computer-aided ophthalmology, enhancing both clinical decision-making and screening workflows.
Secure and interpretable dyslexia detection using homomorphic encryption and SHAP-based explanations
(Institute of Electrical and Electronics Engineers Inc., 2025-10-25) Harb, Mhd Raja Abou; Çeliktaş, Barış; Eroğlu, Günet
Protecting sensitive healthcare data during machine learning inference is critical, particularly in cloud-based environments. This study addresses the privacy and interpretability challenges in dyslexia detection using Quantitative EEG (QEEG) data. We propose a privacy-preserving framework utilizing Homomorphic Encryption (HE) to securely perform inference with an Artificial Neural Network (ANN). Due to the incompatibility of non-linear activation functions with encrypted arithmetic, we employ a dedicated approximation strategy. To ensure model interpretability without compromising privacy, SHapley Additive exPlanations (SHAP) are computed homomorphically and decrypted client-side. Experimental evaluations demonstrate that the encrypted inference achieves an accuracy of 90.03% and an AUC of 0.8218, reflecting only minor performance degradation compared to plaintext inference. SHAP value comparisons (Spearman correlation = 0.59) validate the reliability of the encrypted explanations. These results confirm that integrating privacy-preserving and explainable AI approaches is feasible for secure, ethical, and compliant healthcare deployments.
Privacy-preserving cyber threat intelligence: a framework combining private information retrieval, federated learning, and differential privacy
(Institute of Electrical and Electronics Engineers Inc., 2025-09-21) Çamalan, Emre; Çeliktaş, Barış
Threat Intelligence Platforms (TIPs) are essential for sharing indicators of compromise (IoCs), but querying them can leak sensitive organizational data. We propose a privacy-preserving framework that combines Private Information Retrieval (PIR), Federated Learning (FL), and Differential Privacy (DP) to mitigate this risk. Our approach addresses both content-level and metadata-level privacy concerns while supporting collaborative learning across organizations. It ensures that sensitive query patterns remain hidden, local threat data never leaves organizational boundaries, and model updates are protected against inference attacks. The framework integrates with existing TIPs such as MISP and OpenCTI, requiring minimal operational changes. We implement a prototype using a simulated Abuse IP dataset and evaluate it on latency, accuracy, and communication overhead. The system supports private queries in under 300 ms and maintains over 95% model accuracy under DP noise. These results indicate that strong privacy can be achieved with minimal performance trade-offs, making the approach viable for real-world CTI environments.
Cross-layer ransomware detection framework for SDN using HMM, LSTM, and Bayesian inference
(Institute of Electrical and Electronics Engineers Inc., 2025-08-28) Serter, Cemal Emre; Çeliktaş, Barış
Ransomware continues to pose a serious threat to endpoint computers as well as network systems, especially in Software Defined Networks (SDN) environments where programmability and centralized control offer novel attack surfaces. In this paper, a cross-layer detection model for ransomware is introduced that integrates host-based behavioral modeling using Hidden Markov Models (HMM), anomaly detection at flow level using Long Short-Term Memory (LSTM) networks, and probabilistic fusion through Bayesian inference. By correlating host and SDN layer anomalies, the system enhances early-stage detection and reduces false positives. A variational Bayesian approximation technique is utilized for decision score stabilization under ambiguous conditions. The model is evaluated with new ransomware datasets and obtains a range between 97.5%-99.92% F1-score across three benchmark datasets with less than 50 ms latency for detection. The hybrid framework gives a promising direction for real-time threat detection in resilient programmable networks.
The mediating effect of self compassion in the relationship between job stress and burnout levels among employees
(SAGE Publications Inc., 2026-02-13) Günay, Ezgi; Ünver, Buket; Yılmaz, Simay
Objective: This study investigates the role of self-compassion as a mediator in the relationship between job stress and burnout among employees. While job stress is widely recognized as a critical factor leading to burnout, it has been suggested that self-compassion may be associated with a reduction in these negative effects. Method: Participants were 429 actively employed adults living in Turkey (50.6% female). The data were gathered using an online administration of standardized psychological scales, that is, Job Stressor Appraisal Scale, Copenhagen Burnout Scale, and Self-Compassion Scale. Four dimensions of work stress “Role and Workload, Role Inadequacy, Organizational Rules & Practices, and Subordinate Relations” are taken into consideration in the volumetric model. Path analysis with bootstrapping (5,000 resamples) was implemented using Mplus statistical software, with gender, economic condition, and way of working during COVID-19 as covariates. Findings: The model fit was acceptable in path analysis. Role and workload and role inadequacy had a significant direct impact on burnout. Self-compassion had a significant mediating impact on the relationship between role and workload and burnout and the relationship between role inadequacy and burnout. Conversely, for organizational rules and practices and subordinate relations, both direct and mediating effects were non-significant. The model accounted for 21% and 52% for variance in self-compassion and burnout, respectively. Conclusion: This study emphasises the mediating role of self-compassion in the effect of job stressors on burnout. These findings suggest that interventions promoting self-compassion in the workplace may be effective in reducing employee burnout.
Witnessing the end, supporting the living: A qualitative study of palliative caregiving in end-of-life patients in Türkiye
(Cambridge University Press, 2026-02-11) Sert Yurdakul, Selin; Erbay Erşen, Merve; Özel, Dilara
Objectives. Palliative care seeks to enhance the quality of life for individuals with serious illnesses and their families by addressing physical, emotional, and psychological needs. This phenomenological study examines the lived experiences of 8 caregivers in palliative care settings in Türkiye, focusing on the challenges they face, the coping mechanisms they employ, and their reflections on the caregiving role. Special emphasis is given to both psychological and somatic signs of stress, along with the possible advantages of body-oriented resilience techniques. Methods. Using a phenomenological qualitative design, semi-structured interviews were conducted with 8 caregivers providing care to relatives in a hospital-based palliative care unit. Data were collected between February and April 2023 and analyzed through conventional content analysis. Results. Four central themes emerged from inductive coding: harmony in healing, navigating difficulties, resilience in palliative care, and reflections on the finite. The findings reveal a dual reality: palliative caregivers derive meaning and satisfaction from compassionate connections, high-quality clinical care, and peer support, yet they also endure significant burdens, including emotional strain, physical exhaustion, disrupted daily routines, and shifting relational dynamics. Anticipatory grief and chronic stress responses were prevalent, frequently manifesting in both psychological and somatic forms (e.g., sleep disturbances, muscle tension, and autonomic arousal). Despite these challenges, palliative caregivers employed spiritual beliefs, peer interactions, and self-care routines as resilience strategies. Significance of results. The mind–body challenges identified in the study emphasize the need for interventions that focus on self-regulation and resilience, including body-oriented approaches that strengthen internal resources, regulate stress responses, and encourage adaptability. Incorporating such approaches into group-based settings may improve mutual support and enhance both individual and relational well-being. The study highlights the importance of comprehensive, caregiver-centered support systems to reduce burden and improve the overall quality of palliative care.
Validation and normative data study for the Turkish version of the movie for the assessment of social cognition (MASC-TR)
(Oxford University Press, 2026-02-05) Şandor, Serra; Hıdıroğlu-Ongun, Ceren; Tanfer, Mehmet Can; Gürkaş, Sena; Bora, Emre; Yıldırım, Elif
Objective This study aimed to adapt the Movie for the Assessment of Social Cognition (MASC) into Turkish (MASC-TR), examine its psychometric properties, and establish normative data. Additionally, the study investigated the discriminative validity of the MASC-TR in differentiating individuals with autism spectrum disorder (ASD) from healthy controls. Methods The sample comprised 228 healthy adults and 29 individuals with ASD aged 18–45 years. Participants completed the MASC-TR along with established measures of theory of mind (ToM)—the Reading the Mind in the Eyes Test (RMET) and the Faux Pas Recognition Test (FPRT)—as well as non-social cognitive tasks assessing attention, working memory, and executive functions. Reliability analyses included internal consistency and test–retest reliability. Construct validity was assessed via convergent and discriminant correlations. Group comparisons and receiver operating characteristic analyses were used to evaluate discriminative validity, while multifactorial analysis of variance and regression analyses examined demographic effects. Results The MASC-TR demonstrated acceptable internal consistency (α=0.75) and excellent test–retest reliability (ICC=0.98). Significant positive correlations with RMET and FPRT supported convergent validity. Education level emerged as the only significant demographic predictor of MASC-TR performance. The MASC-TR successfully differentiated individuals with ASD from controls (t=−3.87, p<.001), with an optimal cutoff of 23.5 yielding 97% sensitivity and 52% specificity (area under the curve=0.72). Conclusions The findings indicate that the MASC-TR is a valid and reliable measure of social cognition in Turkish adults. The availability of culturally adapted normative data enhances its clinical and research utility for assessing ToM functioning across populations.
Enhancement of epoxy properties through graphene nanofillers produced in molten salt: morphological, thermal and mechanical characterization
(Springer, 2026) Gül, Ayşenur; Kamali, Ali Reza
This research investigates the enhancement of epoxy resin properties through the incorporation of graphene nanoplatelets (GNPs), synthesized via the molten salt exfoliation method, as nanofillers. The study evaluates the morphology, thermal conductivity, and mechanical performance of the resulting nanocomposites. Electron microscopy reveals a high density of reactive edge sites in the graphene material, which enable bonding with epoxy groups during curing. It also shows a uniform dispersion of graphene nanoplatelets (GNPs) within the epoxy matrix, leading to reduced void formation and enhanced interfacial bonding. A notable improvement in the physical and mechanical properties of the epoxy was observed with the addition of GNPs up to 1.0 wt%. At this concentration, Young’s modulus increased by approximately 42% (from 2.9 to 4.2 GPa), while thermal conductivity, compressive strength, and tensile strength improved by around 41%, 9%, and 32%, respectively. These findings indicate that the integration of GNPs into epoxy resin significantly enhances both thermal and mechanical performance, positioning the nanocomposites as strong candidates for advanced structural applications.
Hierarchical secure key assignment scheme
(Public Library of Science, 2026-02-18) Çeliktaş, Barış; Çelikbilek, İbrahim; Güzey, Süeda; Özdemir, Enver
This work presents a novel hierarchical key assignment mechanism for access control, designed to be computationally lightweight and optimized for digital environments with structured access policies. By leveraging orthogonal projection and distributing a basis to each group, it enables flexible and efficient left-to-right and top-down access structures. The scheme ensures that parent groups can derive the secret keys of their child groups while preventing unauthorized reverse access. It is resilient against collusion attacks and privilege escalation, offering robust key recovery and indistinguishability properties. Moreover, it guarantees strong key indistinguishability under adversarial models and facilitates a secure rekeying process without reliance on a trusted third party. To demonstrate practical efficiency, we provide a full analytical complexity evaluation showing that key derivation requires at most ∂(n2i ) operations, where ni is the dimension of the assigned subspace. For typical deployment parameters used in the experiments, the total key material per user remains compact (≈ 3,072 bits), significantly smaller than well-known post-quantum schemes such as Dilithium-5 (38,912 bits). The storage requirement scales linearly with the number of groups (ck+1 bases for c groups with at most k members), ensuring that even large hierarchies remain lightweight. Our evaluation further shows that selective rekeying affects only the descendants of the modified group, resulting in communication overhead of ∂(m′λ) bits, where m′ is the number of affected users and λ is the key length. These results collectively highlight the scheme’s scalability, low storage footprint, and suitability for large access hierarchies.
Architects' journeys to Italy and their contribution to architectural culture in postwar-era Turkey
(Cambridge University Press, 2024-12) Hamiloğlu, Ceren; Özsoy, Ahsen
In the twentieth century, the mobility of architects and ideas played an important role in the dissemination of an architecture culture characterised by modernity. Architectural ideas were disseminated through institutions and a variety of visual, verbal, and textual representations as well as physical encounters. Travel, with its associated architectural thinking and representation, became a generative practice through which the dissemination of architecture could be understood. The Grand Tour was one of the most well-studied examples of travel as a rite of passage, and Italy remained a dominant destination long after its peak in the eighteenth century. Italian architectural discourse entered Turkey through travels and publications, mostly in the prewar era. This article aims to show the role of architects’ travels in inducing architectural productions through a variety of representations from sketches to published media, scrutinising Turkish-speaking architects’ journeys to Italy in the postwar era. The study incorporates content analysis of selected media - such as photographs, articles, class notes, books, and memoirs - to review architects’ productions during and after their travels, as they facilitated the dissemination of an architecture culture ‘brought back’ after key experiences.
Innoveadership: marrying strategic leadership with complexity
(IGI Global, 2017) Yüksel, Ahmet Hakan; Wang, Viktor
Scholars in the field of management studies are not reticent about how lively is the correlation between leadership and innovation. Given the pervasiveness of mechanistic view of organizations in the last century, this correlation was supposed to be entertained by the leaders who possessed certain personal traits and displayed behavioral patterns relevant for their followers. However, in an age of interconnectedness, leadership calls for more than leaders are capable to afford. Leadership should be acknowledged as an inter-relational social component, which is inherently embedded in each and every social interaction in the organization. Innovation, therefore, is embodied in the sum of all the interaction. This conceptual chapter intends to merge leadership and innovation and coins the term innoveadership to demonstrate their intertwined nature. Innoveadership could be described as a conflation of constructs postulated by leading scholars in the field of leadership and management studies within the contextual climate of complexity thinking.

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