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    <title>STORRE Community: This community contains the ePrints and eTheses produced by the Faculty's staff and students.</title>
    <link>http://hdl.handle.net/1893/2670</link>
    <description>This community contains the ePrints and eTheses produced by the Faculty's staff and students.</description>
    <pubDate>Sat, 17 Oct 2026 08:26:54 GMT</pubDate>
    <dc:date>2026-10-17T08:26:54Z</dc:date>
    <item>
      <title>Associations between mycorrhizal dominance and woody species diversity shift with stand development and climate across subtropical and tropical forests in Taiwan</title>
      <link>http://hdl.handle.net/1893/38398</link>
      <description>Title: Associations between mycorrhizal dominance and woody species diversity shift with stand development and climate across subtropical and tropical forests in Taiwan
Author(s): Vilà‐Cabrera, Albert; Astigarraga, Julen; O'Sullivan, Kirsten S W; Clemmensen, Karina E; Tyyskä, Henna; Greenwood, Sarah; Cubino, Josep Padullés; Chen, Jan‐Chang; Jump, Alistair S.
Abstract: Mycorrhizal symbioses influence woody species diversity, but whether this association shifts with forest stand development remains underexplored. Using forest inventory data across subtropical and tropical forests in Taiwan, we found that woody species diversity was lower in ectomycorrhizal (EM)-dominated than in arbuscular mycorrhizal (AM)-dominated forests, while forests with mixed mycorrhizal strategies supported the highest woody species diversity. However, these associations were strongest in early development stands and tended to converge towards high diversity in late development stands despite differences in mycorrhizal dominance. These results are consistent with stronger conspecific negative density dependence in AM-dominated forests and niche partitioning among mycorrhizal strategies at early developmental stages, while alternative recruitment dynamics associated with AM- and EM-dominated canopies may promote high woody species diversity at late developmental stages. Climate modulated these patterns, with the negative association between EM dominance and woody species diversity strongest in cold regions, while the diversity peak in mixed AM–EM forests was most pronounced in median climates and diminished towards warm and cold climates. In addition, woody species evenness was more consistently highest in forests with mixed mycorrhizal strategies across stand development stages compared to woody species richness, suggesting that mycorrhizal coexistence promotes more equal species abundances. These findings highlight that associations between mycorrhizal strategies and woody species diversity depend on forest developmental stage, underpinning new understanding of subtropical and tropical forest recovery under global change.</description>
      <pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-09-28T00:00:00Z</dc:date>
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    <item>
      <title>Menstrual health literacy- A crucial yet unclear concept</title>
      <link>http://hdl.handle.net/1893/38393</link>
      <description>Title: Menstrual health literacy- A crucial yet unclear concept
Author(s): Ní Chéileachair, Fodhla; Durand, Hannah; Caes, Line
Abstract: Menstrual health literacy (or menstrual literacy) is widely argued to contribute to menstrual health outcomes and self-management of symptoms. From menarche to menopause, facets of health literacy are considered insufficient, leaving many individuals without key knowledge and skills to manage their health in the context of widespread menstrual stigma. Despite a high frequency of studies calling for global improvements to menstrual health literacy rates, there is no consensus on what this term “means” in research or practice. This commentary outlines key differences across current definitions of menstrual health literacy, with reference to an existing framework of health literacy, and raises questions on how best to structure a universal definition to meet needs from menarche and beyond.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <item>
      <title>A four component model for the social perception of first names.</title>
      <link>http://hdl.handle.net/1893/38389</link>
      <description>Title: A four component model for the social perception of first names.
Author(s): Lee, Anthony; Lis, Odette; Panagiotakou, Sofia
Abstract: First (given) names are subject to stereotypes and can be a source of bias when making many important decisions. However, previous research on name bias is fragmented and informed by disjointed theories. Here, we investigate the underlying structure of name biases to provide a unifying theory of the social perception of names. Across two samples collected in separate European countries (UK and Germany; N = 1083 and 972 respectively), male and female names were rated on multiple social traits, with mean trait ratings for each name then being entered into a Principal Components Analysis. In both samples, and for both male and female names, the same four component structure was found: these included components corresponding with valence/competence, dominance/warmth, youth/attractiveness, and familiarity. We propose that this four component model could provide an overarching theoretical framework that could help unite research on name bias and generate new testable hypotheses.</description>
      <pubDate>Wed, 15 Jul 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-07-15T00:00:00Z</dc:date>
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    <item>
      <title>What Do AI Agents Actually Change? An Empirical Taxonomy of Mutation Patterns in Performance-Improving Pull Requests Anonymous Anonymous Institution</title>
      <link>http://hdl.handle.net/1893/38384</link>
      <description>Title: What Do AI Agents Actually Change? An Empirical Taxonomy of Mutation Patterns in Performance-Improving Pull Requests Anonymous Anonymous Institution
Author(s): Dovhoshliubnyi, llia; Soroush, Nima; Sami, Ashkan; Brownlee, Alexander
Abstract: AI coding agents are black boxes: we cannot inspect how they generate code, but we can inspect what they change. This distinction matters for search-based software engineering (SBSE), where techniques such as genetic improvement depend on mutation operators that reflect how code is actually transformed. Of the 33,596 agent PRs in the AIDev dataset, less than 400 target performance (fewer than 1%), making each successful case a valuable window into otherwise opaque agent behaviour. We classify 1,254 performance-relevant diff hunks from 216 of these PRs, spanning five agent systems, against the 18-category syntactic mutation taxonomy of Even-Mendoza et al. (2025) using an LLM-as-a-judge pipeline. Three categories dominate: name modification (36.9%), object creation (26.3%), and type change (22.6%), a profile strikingly different from prior genetic improvement corpora where no change accounted for 84%. Each agent commits to a distinctive mutation vocabulary, and each performance strategy activates a largely disjoint category subset. Agent identity and target strategy are therefore informative priors that narrow the effective SBSE operator space from 18 categories to a handful per context. Replication package: https://anonymous.4open.science/r/ssbse-challenge-2026-710C/</description>
      <pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-07-10T00:00:00Z</dc:date>
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