3 results
Search Results
Now showing 1 - 3 of 3
Article Legalizing Anti-Gender Ideology and Civil Society Resistance in Turkey(Pergamon-Elsevier Science Ltd, 2026) Keysan, Asuman Ozgur; Özgür Keysan, AsumanThis study investigates how feminist, LGBTQI+, labour, and human rights organisations in Turkey frame and negotiate the legal institutionalisation of anti-gender ideology and how these processes generate strategic yet fragile cross-movement alliances. Drawing on Benford and Snow's framing theory and Yuval-Davis's transversal politics, the analysis is based on semi-structured interviews conducted with activists from ten organisations between April and June 2025 and organisational documents. The study conceptualises anti-gender politics in Turkey not as a societal backlash but as a state-driven, multi-layered project of "masculinist entrenchment (Yetis, & Ozd & uuml;zen, 2024)" that restructures legal, ideological, and affective arenas. The findings demonstrate that activists increasingly reframe anti-gender assaults as systemic attacks on democracy, rights, and equality, producing a shift from issue-based coordination to what this article terms "strategic coexistence", a hybrid alliance formed across previously distant ideological and organisational positions. Diagnostic framing identifies anti-gender reforms as an existential threat, prognostic framing centres on alliance-building, movement memory, and inclusive organisational practices and motivational framing foregrounds shared destiny, solidarity, and the symbolic significance of LGBTQI+ rights. The analysis reveals that while this recontextualisation widens the basis for coalition, the resulting alliance remains structurally unbalanced and fragile. Hierarchical power relations, uneven exposure to political risk, and selective silence, particularly regarding LGBTQI+ concerns, limit the depth and durability of alliances. In this context, LGBTQI+ rights serve both as a catalyst for broad-based mobilisation and as a litmus test for democratic commitment, disclosing the limitations of transversal solidarity under authoritarian regimes.Article Performance Assessment of a Solar-Geothermal Based Organic Rankine Cycle System Producing Green Hydrogen(Pergamon-Elsevier Science Ltd, 2026) Atak, Yagmur Nalbant; Nalbant Atak, YagmurThis study presents a comprehensive thermodynamic (energy and exergy) analysis of a solar-geothermal-based Organic Rankine Cycle (ORC) system integrated with a proton exchange membrane (PEM) electrolyzer for green hydrogen production. The system simultaneously harnesses the continuous heat of a geothermal source and the intermittent solar thermal input to ensure stable hydrogen generation. The effects of key operating parameters (solar radiation intensity, production well temperature, inlet temperature of the PTSC fluid, and ORC and PTSC working fluid types were investigated. The results reveal that higher solar radiation intensities significantly enhance both power generation and hydrogen yield, increasing the hydrogen production rate from 22.9 to 24.3 kg/h and the net electrical output from 4.17 to 4.41 MW. Similarly, increasing the geothermal well temperature from 400 K to 600 K significantly enhances hydrogen production, rising from 15.9 to 45.5 kg/h, and increases the net power output by approximately 185 %. However, the exergy efficiency decreases slightly from 0.26 to 0.17 due to increased irreversibilities at higher temperatures. The optimal working pair was determined to be R134a for the ORC and Therminol VP1 for the PTSC, achieving an electrical efficiency of 9.27 %, exergy efficiency of 25.13 %, and hydrogen production rate of 29.02 kg/h. In addition, the exergy analysis showed that the PTSC (similar to 35 %) and condenser (similar to 24.6 %) are the dominant sources of irreversibility. Finally, the Taguchi optimization identified the optimal configuration (Gb = 3.50 x 10(-4) MW/m(2), T-a = 500 K, T-11 = 600 K, and ORC fluid = R134a) yielding the highest overall efficiency and robust performance under variable operating conditions.Article A Computationally Efficient Approximation for Fractional Differencing: First-Order Operators(Pergamon-Elsevier Science Ltd, 2026) Omay, Tolga; Baleanu, DumitruThis paper introduces the First-Order Fractional Differencing (FOFD) operator that substantially reduces the computational burden of fractional differencing for large-scale applications. While the standard Gr & uuml;nwald-Letnikov (GL) operator requires O(T2) operations for a series of length T, and recent FFT-based methods achieve O(T log T), our FOFD operator requires only O(T) operations through a simple two-point recursion. We develop an optimal weight calibration framework that ensures this computational efficiency does not compromise statistical accuracy, deriving a general formula wopt = d & sdot; (1-0.9 rho)beta(p) that adapts to the persistence structure of autoregressive processes. Empirical applications demonstrate substantial improvements: for the Chicago Fed National Financial Conditions Index with extreme persistence (rho= 0.992), optimal weight calibration reduces approximation error by 93% while preserving the autocorrelation structure of the GL operator. For a series of 10,000 observations, our method requires 20,000 operations compared to 530,000 for FFT-based methods and 50 million for standard implementations-enabling fractional differencing in real-time and high-frequency contexts previously infeasible due to computational constraints. The method's simplicity, requiring no specialized libraries and providing direct implementation through our calibration formula, makes it immediately accessible to practitioners while maintaining the long-memory properties essential for financial time series modeling.
