Browsing by Author "Henry M"

Now showing 1 - 3 of 3
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    Infrastructural, performative and feral: Understanding agri-environmental data relations in Aotearoa New Zealand
    (John Wileyand Sons Australia, Ltd on behalf of New Zealand Geographical Society, 2025-02-17) Edwards S; Henry M; Rosin C
    In agri-environmental decision-making, data are essential to defining problems and informing solutions. Nevertheless, it is important to consider not only how data can be used but also what data does in agri-environmental contexts. We argue that the liveliness of data relations can be explored by attending to their infrastructural, performative and feral qualities. Taking digital agriculture and climate change adaptation as examples, we also consider how these interconnected theses could be applied. This critical approach to data relations and their generative effects will help avoid unintended consequences and shape alternative agri-environmental futures.
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    Roadmap on signal processing for next generation measurement systems
    (IOP Publishing, 2022-01-01) Iakovidis DK; Ooi M; Kuang YC; Demidenko S; Shestakov A; Sinitsin V; Henry M; Sciacchitano A; Discetti S; Donati S; Norgia M; Menychtas A; Maglogiannis I; Wriessnegger SC; Chacon LAB; Dimas G; Filos D; Aletras AH; Töger J; Dong F; Ren S; Uhl A; Paziewski J; Geng J; Fioranelli F; Narayanan RM; Fernandez C; Stiller C; Malamousi K; Kamnis S; Delibasis K; Wang D; Zhang J; Gao RX
    Signal processing is a fundamental component of almost any sensor-enabled system, with a wide range of applications across different scientific disciplines. Time series data, images, and video sequences comprise representative forms of signals that can be enhanced and analysed for information extraction and quantification. The recent advances in artificial intelligence and machine learning are shifting the research attention towards intelligent, data-driven, signal processing. This roadmap presents a critical overview of the state-of-the-art methods and applications aiming to highlight future challenges and research opportunities towards next generation measurement systems. It covers a broad spectrum of topics ranging from basic to industrial research, organized in concise thematic sections that reflect the trends and the impacts of current and future developments per research field. Furthermore, it offers guidance to researchers and funding agencies in identifying new prospects.
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    Survey of functional Mendelian variants in New Zealand Huntaway and Heading dog breeds
    (John Wiley and Sons Ltd on behalf of Stichting International Foundation for Animal Genetics, 2025-10-01) Smith F; Lopdell T; Stephen M; Henry M; Dittmer K; Hunt H; Sneddon N; Williams L; Rolfe J; Garrick D; Littlejohn MD
    New Zealand (NZ) Huntaway and Heading dogs are working breeds that play active roles on farms across NZ. While these breeds are common in NZ, they are not well-known elsewhere, and little is understood about their genetic make-up. Here, we used whole genome sequencing to provide a comprehensive genomic view of 249 working dogs. As first use of this resource, we report the allele frequencies of provisionally functional variants aggregated from the Online Mendelian Inheritance in Animals (OMIA) database. Of 435 “probably causal” variants, 27 segregated in our sample. Notable examples of disease variants potentially actionable for selection include those in the CUBN, CLN8, SGSH, SOD1, VWF, and VPS13B genes. These findings will enable genetic testing and selection opportunities to help improve the health and performance of future generations of these unique breeds.