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Majorization ordering of dependent aggregate claims clustered by statistical machine learning
No full textThe primary driver of decision-making is prioritization or ordering of risks, which plays a vital role in optimizing risk management strategies. This paper focuses on ordering aggregate claim vectors across various risk clusters utilizing agricultural insurance data. The data was sourced from the Turkish Agricultural Insurance Pool (TARSİM), the sole entity responsible for compiling agricultural insurance claim datasets. We consider the spatial and temporal features of claims, supposing that individual claims subject to similar environmental risks are dependent. We cluster risks based on meteorological values related to the location and time of the reported crop-hail insurance claims, estimated using an extended spatiotemporal interpolation method that we proposed. Bayesian regularization enhanced the performance of the statistical machine learning approach. Having clustered the risk regions, we order the aggregate claim vectors by using majorization relation and Schur-convex risk measures, which are more flexible for multivariate actuarial risks. Moreover, as a contribution to the literature, we modify the definition of majorization to fulfill the criteria for continuous random variables. The findings of this study indicate that the risk clusters, when ordered according to both the modified majorization conditions and the Schur-convex risk measure, exhibit consistency. These results further demonstrate the compatibility of the climate-based, probabilistic clustering method with the modified majorization relation
Enduring Crises and Possibilities for Cooperation in Turkish-Greek Relations: A Feminist Account
No full textOn 15 September 2020, Turkish and Greek women declared their commitment to peace. They said: "As peace-loving women of the two countries, despite the dominant patriarchal system threatening the world, we are determined to work towards peace by developing our common culture, cooperation, and friendship in the Aegean." They have demanded a just resolution of controversies surrounding the relations through diplomacy and international law. By underlining that feminism offers essential insights into understanding cooperation and conflict dynamics, this article will analyse the last two decades of Turkish-Greek relations through a feminist reading. Feminism, with its critical and holistic approach, will contribute significantly to the understanding of Turkish-Greek relations during the periods of cooperation but more so during entranced conflicts. Post-1999 represents the beginning of collaboration and dialogue in Turkish-Greek relations. Various mechanisms such as regular political consultations, exploratory contacts, High-Level Cooperation Council meetings, were held. Until 2019, relations remained somehow amicable. However, since then, the refugee crisis, the Cyprus issue, and the dispute in the Eastern Mediterranean have deeply marred the relations. Going beyond the state level, this paper aims to analyse the significant cooperation and conflict periods from a feminist perspective
Teaching and Learning in the Age of Generative AI: Evidence-Based Approaches to Pedagogy, Ethics, and Beyond
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Turkish Gender Studies' Scholars: Balancing Academic and Emotional Turbulence
No full textAgainst the backdrop of global transformations in science policy and higher education, this study examines the profound shifts induced by anti-gender mobilizations and the precarious nature of academic labor. Focusing on the interplay of illiberal governance and neoliberal measures, particularly within Turkish academia, we investigate their impact on gender studies. Through fifteen in-depth interviews with Turkish academics specializing in gender studies, our findings reveal a challenging academic landscape marked by precarious conditions, fierce competition, and a dearth of long-term career prospects. This complex environment hinders the production of scientific knowledge and hampers scholars' ability to fully engage with and emotionally invest in their work. The study underscores structural pressures emanating from governmental, institutional, and societal barriers, alongside individual pressures within Turkish academia. By calling into question the sustainability of the university system, this study emphasizes the pressing the pressing need for a re-evaluation of current practices
Constitutive modelling of amplitude dependent dynamic response of rubber-like materials
No full textRubber-like materials are widely used in the automotive, aerospace, and naval industries. The mechanical performance of rubbery polymers can be improved by incorporating filler particles. Filled rubber exhibits an amplitude-dependent viscoelastic response under dynamic loading, a phenomenon known as the “Payne effect,” (Payne 1962). The Payne effect is characterized by a softening of the material as the amplitude of dynamic loading increases, resulting in a reduction in the storage modulus. Notably, this effect is reversible at room temperature, setting it apart from the Mullins effect. In this study, we present a novel constitutive model that accurately captures the Payne effect. The equilibrium response is modeled using an extended eight-chain framework (Dal, Gültekin, & Açıkgöz 2020), while the non-equilibrium behavior is described by quadratic free energy functions within the context of micro-sphere kinematics (Miehe & Göktepe 2005). We propose a nonlinear evolution equation for the viscous dashpot, incorporating amplitude dependency through an additional history variable based on the work of (Rendek & Lion 2010a). Our proposed evolution equation refines the Rendek-Lion formulation by accounting for loading rate-induced non-linearity in the storage modulus at high strain amplitudes. We demonstrate the model’s ability to fit experimental data collected by our group. Additionally, we discuss the algorithmic considerations for the finite element (FE) implementation and showcase the model’s numerical performance through the analysis of representative geometries
COMPARATIVE STUDY BY ADDING BOOTSTRAPPING STAGE IN CONSTRUCTION OF BIOLOGICAL NETWORKS
No full textModel selection methods are very popular in high-dimensional settings in recent years due to the availability of massive amounts of data, specifically from genetical, image progressing, and financial sources. Therefore, the selection of the best estimated model becomes crucial. There are a number of model selection approaches in order to choose the optimal one among alternatives. Among them are the Akaike information criterion, Bayesian information criterion, Consistent Akaike information criterion with Fisher information matrix (CAICF), and Information and COMPlexity (ICOMP), which are very successful in lasso regression when constructing biological networks. In this study, we have proposed these criteria by inserting both non-parametric and Bayesian bootstrap approaches to optimize CAICF and ICOMP selection criteria when the sample size is smaller than the number of genes in the system. We evaluate the performance of the bootstrapping strategy with distinct Monte Carlo scenarios. From the majority of results it is shown that the model selection with bootstraps has higher accuracy than the model selection without bootstraps
Seismic Assessment of Electrical Equipment in Power Substations: A Case Study for Circuit Breakers
No full textRemarks are provided on the paper “Seismic assessment of electrical equipment in power substations: a case study for circuit breakers” by Kaatsız et al. on how allowable stresses are determined for steel framing members forming the support structure as well as the connection elements used in various parts of electrical devices
Metasynthesis of Research on International Teaching Assistants in Higher Education
No full textInternational teaching assistants (ITAs) have a prominent role in the internationalisation of higher education (IHE). Although ITAs are considered important actors in IHE and ITA programs have a relatively long history, there is a scarcity of review studies on empirical research focusing on ITAs. This qualitative metasynthesis explores the research foci, methods and main findings from twenty-nine studies focusing on ITAs in higher education contexts. Based on template analysis, four main categories emerged. These were: ITA perspectives, student perspectives, TA perspectives and instructional interactions. Key issues include foreignness and differences in linguistic, cultural and educational backgrounds of ITAs. This metasynthesis highlights the need for institutions to acknowledge ITAs' unique transcultural characteristics and integrate reflexivity into programs to develop awareness among individuals, thereby reducing superficial biases