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Lipid Oxidation in Food Systems: Mechanisms, Influencing Factors, and Antioxidant Approaches
No full textFragments of Repression and Resistance
No full textOn a sunny afternoon at the end of October 2021, following a dry summerthat deeply affected the grape production in the Alaşehir region—alreadyaffected by dozens of geothermal centrals dispersed in this region—, wemet for an interview with a middle-aged peasant-farmer who owns a familyfarm of grape production. To the initial question, “What meanings does theword peasant have for you?,” with which we started all our interviews withpeasant farmers linked to Çiftçi-Sen, this peasant-farmer answered with aquote: Atatürk’ün sözlerinden gidersek [köylü] milletin efendisidir.1The Turkish word “efendi” can be literally translated as “master,” mean-ing that the peasant is the backbone of the nation or the social group thenation mostly relies upon. The word is also employed figuratively with themeaning “respectful” or “the one that complies with.” Regardless of the lit-eral or the figurative meaning, the importance of this quote is the role givenby the state to the peasantry,2 which for the ones acquainted with the rhetoricof the newly founded Republic, comes attached with a strong paternalisticanalogy. It is not by chance that “Devlet baba” (“father state”)3 is still a commonlyused expression.It is not intended here to overvalue the symbolical features of a singlequote in a single interview, but only to illustrate the main argument of thischapter: the striking characteristic feature of the Turkish peasantry is its lackof continuous and structured organization and political mobilization. Thisis linked to the historical paternalistic appropriation of the peasantry by theTurkish Republic,4 a trend that has been reinforced by the authoritarian populism of the ruling party in last two decades, the Justice and DevelopmentParty (A.K.P.).</p
A communication-driven method for enhancing user participation in the design process
No full textDesign processes generally try to align user requirements with design solutions. Communication gaps between designers and users, nevertheless, may lead to mismatches between intended user experience and eventual perception by end users. This study presents a communication-driven method for enhancing user participation in the design process and formally incorporating user feedback. The method identifies and resolves user experience discontinuities by eliciting and consolidating qualitative and quantitative user appraisals. Building on the Semantic Discontinuity Detection method, the method (i) integrates user feedback into an iterative design process, and (ii) uses virtual reality simulations for design communication to detect and resolve discontinuities. The discontinuity results are communicated to designers, for improving correspondence between design outcomes and user experiences. Revised designs are evaluated for improved alignment, indicating validation of the method. The results show that communication-centered design effectively reduces experience inconsistencies, increases the engagement of users, and improves design outcomes
Positioning solution for heterogeneous swarm of UAVs and MAVs in 3D crowded environment
No full textUnmanned aerial vehicles (UAVs) and micro-aerial vehicles (MAVs) are becoming more popular in swarm applications due to their decreasing costs and wider availability. Swarm systems composed of different types of aerial vehicles operating in the same environment are particularly valuable for tasks like reconnaissance, surveillance, and collaborative navigation. For these mixed-type swarms, quickly finding a collision-free, optimal positioning in complex, obstacle-filled environments is a key challenge. Particle swarm optimization (PSO) techniques are widely used for this purpose, with the nPSO variant offering faster convergence than traditional PSO. This paper extends the challenge of optimal, collision-free positioning for heterogeneous swarms containing varying numbers of UAVs and MAVs in the presence of obstacles using the nPSO algorithm in 3D environments. The optimization focuses on both the area covered and the number of vehicles. Results show that with less than 200 iterations, an optimal positioning for UAV and MAV swarms can be achieved in 3D environments dense with obstacles
Effect of forced convection and compressibility on transient melting behavior of PCM in a cavity
No full textFire burns where it falls: a vernacular security approach to 2021 forest fires in Türkiye
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