This article examines the historical and ongoing role of public agricultural research and extension in shaping avocado production in southern Turkey. Drawing on ethnographic fieldwork, expert interviews, and documentary analysis, I find that the making of Turkey’s avocado production base owes to a century-long state involvement in agricultural research and development. Contrary to the assumption that global markets single-handedly shape contemporary production and export geographies in the global South, in the case of Turkey’s avocado production it is not the market per se, but extensionists on the ground who actively advocate for risk-taking, efficient, export-oriented production methods. Despite the push for export-oriented production, smallholders continue to prioritize the domestic market by choosing to produce locally popular and more cold-hardy cultivars that are less prone to frost damage. Findings suggest that while public agricultural research and development were indispensable in creating the material conditions for this high-value crop boom in southern Turkey, farmers’ agency and local contextual factors ultimately shape the trajectory of this production geography. The analysis also demonstrates a persistent disconnect between the state’s agricultural vision and farmers’ realities, which explains why the avocado boom has remained a primarily domestic, rather than export-oriented, phenomenon.

Blockchain technology is emerging as one of the most profound and cutting-edge innovations of the twenty-first century, providing a decentralized, immutable system for recording transactions. It has enabled the tokenization of distinctive digital assets, including art, music and real estate, through non-fungible tokens (NFTs). NFTs enable asset transfers by operating on pseudonymous blockchain networks, thereby preventing the disclosure of the owner’s real-world identity. While it enhances user privacy and innovation, it also creates significant anti-money laundering and counter-terrorism financing challenges. Fraudsters and other bad-faith actors can use these assets to obfuscate dirty money and illicit financial transactions, given lax or non-existent regulations on NFTs and extremely lax Know-Your-Customer compliance. In light of the above, the authors explore the nexus between NFTs and financial crime (with a particular focus on the legal frameworks of the Sultanate of Oman, the United Arab Emirates and the United Kingdom) in this article. The paper aims to evaluate how each jurisdiction’s response to NFT-related abuse has evolved and been effective in practice. This will be done through a review of existing laws, enforcement, regulations and regulatory gaps. The article ends with specific policy recommendations to enhance regulatory certainty, enforcement effectiveness and international cooperation, supporting an innovation-first approach to the NFT space tempered by necessary measures to prevent criminal abuse.

Current explanations of Sino–American relations are dominated by realist and liberal understandings of world politics, neglecting crucial transnational actors that complexify Sino–American relations. In contrast and drawing from internationally informed Gramscian hegemony theory, and on extensive archival work, we offer an alternative complex multidimensional transnational account. By researching the Ford Foundation’s activities in China and the United States, specifically its contribution to the development of the international relations (IR) discipline in China, we break new ground and show that Ford was key in profoundly shaping Sino–American relations, especially by developing transnational knowledge networks. These transnational elite networks simultaneously integrated China into the LIO and had unintended consequences, particularly in encouraging Chinese counter-hegemonic dynamics that challenge the LIO from within. Our approach indicates a richer complexity of Sino–US relations than extant theories, suggesting that the future trajectories of this strategic relationship are uncertain and do not fall neatly into an inevitable war or peaceful interdependence binary.

Backers of nuclear deterrence are thought to use strategic logic, while nuclear disarmament advocates are believed to embrace moral reasoning. Yet policy makers and diverse publics may hold both—ostensibly contradictory—preferences. Recent studies find that publics in Western democratic countries support the nuclear strikes underpinning long-standing conceptions of deterrence policy. But other scholarship indicates that these very same publics want to abolish nuclear arsenals. A lack of comparative analyses across the Global North and the Global South limits the generalizability of these claims. Does a categorical dichotomy between nuclear deterrence and disarmament really reflect global public views on the bomb? What explains a multitude of seemingly inconsistent scholarly results? In this reflection essay, we argue that deterrence and disarmament are not necessarily incompatible tools for reducing nuclear dangers. We point to several ways that individuals might simultaneously accommodate both pro- and antinuclear weapons policy positions. To investigate this proposition, we offer a new observational dataset on global nuclear attitudes from a survey we conducted in 24 countries on six continents (N = 27,250). Unlike isolated studies of these phenomena, our data strongly confirm that publics do not subscribe to categorical views of nuclear weapons. This headline finding and novel dataset open new possibilities for studying nuclear politics.

This essay investigates intermedial interference – a perceptual phenomenon arising from the interaction of media features within the intermedial space – in the context of electroacoustic audiovisual composition. Grounded in visual music and intermedial arts traditions, this research explores strategies for combining, integrating and fusing sound and moving images to create artefacts that transcend conventional multimedia juxtaposition. This essay refers to the author’s doctoral practice-based research, in which a portfolio of six works is examined through the study, discussing the nature of interference, the interaction of media features in the intermedial space, the role of balance in managing perceptual equilibrium and novel compositional methods, including associative mapping and synchrony typologies. A case study of one of the portfolio works illustrates the application of these concepts, emphasising remediation, meta-narrative and audience interpretation. The findings contribute new insights into intermedial audiovisual practice, offering methodologies for composers to harness media interactions and foster open, subjective engagements with intermedial artefacts.

Whereas some prehispanic societies across North America pursued monumentality, hierarchy, and regional integration, others adopted inward-oriented strategies that fostered cohesion through symbolic containment and household autonomy. Mimbres Classic period (AD 1000–1130) communities in southwestern New Mexico exemplify this alternative trajectory. By situating Mimbres insularity within broader regional developments, this study examines how material practices were mobilized to construct and maintain a culturally bounded world. Drawing on theories of boundary maintenance and ritual sovereignty, I argue that distinctive forms of architecture, painted ceramics, mortuary practices, and regulated interaction localized sacred authority and deliberately limited external connectivity. In contrast to Chaco Canyon’s investments in monumentality and social hierarchy, Mimbres society sustained social coherence through practices rooted in household ritual and symbolic regulation. Crucially, this insularity was neither fixed nor absolute—it emerged in the AD 900s, peaked during the Classic period, and receded after AD 1130 as communities relocated and engaged with new material traditions and regional networks. By tracing this historical arc, this study challenges models that equate social organization with scale or connectivity, demonstrating instead how inward-oriented strategies can produce resilient, if historically contingent, cultural frameworks.

All around Santiago, Chile, there are water towers known to citizens as Copas de Agua. These towers are recognised as modern industrial heritage and integral landmarks within the city’s urban landscape, contributing significantly to its cultural identity. This article presents strategies for exploring aural architecture by creating a new space defined by sound in motion within an existing architectural structure with unique morphological and acoustic characteristics through the medium of sound installation art. The project Polyphono, a multichannel sound installation located within the Copa de Agua of Quinta Bella, Chile, establishes a dialogue between three different spaces: the invisible space of the sound installation, the existing space of the water tower and the symbolic space of experience. In this process, an interior space of sound emerges within the physical space of acoustic reactions, which is experienced by the audience as aural architecture. This dynamic situation involves animating the monumentality of the water tower, transforming it through the performative action of the sound installation, thereby intensifying the historical significance of the site in physical, sensory, political and social terms. The outcomes are framed as a transitional space, from site-specific sound to aural architecture, creating an affective space for aesthetic experience.

Pretesting for exogeneity has become routine in many empirical applications involving instrumental variables (IVs) to decide whether the ordinary least squares or IV-based method is appropriate. Guggenberger (2010a, Econometric Theory, 26, 369–382) shows that the second-stage test – based on the outcome of a Durbin-Wu-Hausman-type pretest in the first stage – exhibits extreme size distortion, with asymptotic size equal to 1 when the standard critical values are used. In this paper, we first show that both conditional and unconditional on the data, standard wild bootstrap procedures are invalid for two-stage testing. Second, we propose an identification-robust two-stage test statistic that switches between OLS-based and weak-IV-robust statistics. Third, we develop a size-adjusted wild bootstrap approach for our two-stage test that integrates specific wild bootstrap critical values with an appropriate size-adjustment method. We establish uniform validity of this procedure under conditional heteroskedasticity or clustering in the sense that the resulting tests achieve correct asymptotic size, regardless of whether the identification is strong or weak. Our procedure is especially valuable for empirical researchers facing potential weak identification. In such settings, its power advantage is notable: whereas weak-IV-robust methods maintain correct size but often suffer from relatively low power, our approach achieves better performance.

With the widespread application of smart antennas in 5G communication and radar detection, adaptive beamforming technology based on deep learning has become a research focus for improving the anti-interference performance of antenna arrays due to its powerful nonlinear modeling capability. It can transform the beamforming problem into a neural network regression problem, enabling the model to rapidly output an approximately optimal beamforming weight vector without prior information. Aiming at the issues of poor adaptability to dynamic interference and high computational complexity of traditional algorithms, this paper proposes IRDSNet, a novel adaptive beamforming algorithm based on Inception-ResNet-dual-pool Squeeze-and-Excitation Network (DP-SENet), to optimize the performance of uniform circular array antennas. IRDSNet integrates the Inception structure, depthwise separable convolution, and Ghost convolution to construct a multi-scale feature extraction module, enhancing the model’s feature extraction capabilities while maintaining a low parameter count. By introducing an improved DP-SENet, the model’s ability to focus on key features is enhanced, while the incorporation of residual modules optimizes feature transmission efficiency. Simulation results demonstrate that the IRDSNet algorithm achieves a null depth exceeding −90 dB at various interference angles, with an output Signal-to-Interference-plus-Noise Ratio (SINR) consistently above 23 dB and a short inference time, demonstrating excellent interference suppression performance.